Abstract
Objective: Identify areas of consensus on integrating lifestyle medicine (LM) into primary care to achieve optimal outcomes. Methods: Experts in both LM and primary care followed an a priori protocol for developing consensus statements. Using an iterative, online process, panel members expressed levels of agreement with statements, resulting in classification as consensus, near consensus, or no consensus. Results: The panel identified 124 candidate statements addressing: (1) Integration into Primary Care, (2) Delivery Models, (3) Provider Education, (4) Evidence-base for LM, (5) Vital Signs, (6) Treatment, (7) Resource Referral and Reimbursement, (8) Patient, Family, and Community Involvement; Shared Decision-Making, (9) Social Determinants of Health and Health Equity, and (10) Barriers to LM. After three iterations of an online Delphi survey, statement revisions, and removal of duplicative statements, 65 statements met criteria for consensus, 24 for near consensus, and 35 for no consensus. Consensus was reached on key topics that included LM being recognized as an essential component of primary care in patients of all ages, including LM as a foundational element of health professional education. Conclusion: The practice of LM in primary care can be strengthened by applying these statements to improve quality of care, inform policy, and identify areas for future research.
Keywords: lifestyle medicine, delivery models, social determinants of health, primary care integration, expert consensus, Delphi method
“Implementing LM in primary care settings benefits providers and patients by identifying the root causes of many chronic diseases that may be prevented, managed, or even reversed using lifestyle interventions coupled with proactive strategies for healthy behavior change.”
Introduction
The United States (US) health care system is performing poorly for patients, clinicians, and the overall economy.1–5 In 2021, the US spent US$12,914 per person in health care costs—approximately 18% of the gross domestic product, which is the highest per capita spending compared to peer nations analyzed by the Organization for Economic Co-operation and Development.1,6 Concurrently, average life expectancy in the US has been decreasing since 2014, long before the COVID-19 pandemic, ranking at the bottom compared to reference countries.1,7 The US also leads in “excess” mortality; with avoidable deaths worsening three years after the COVID-19 pandemic began despite other countries showing lower mortality.1,8,9
The concerns just noted suggest that a new paradigm is needed for US health care, one with a foundation of lifestyle medicine (LM) addressing the root causes of chronic diseases that drive morbidity and mortality. LM is the evidence-based practice of engaging individuals and communities with 6 pillars of comprehensive lifestyle change (Table 1) that include healthy eating, physical activity, stress reduction, restorative sleep, positive social connections, and avoiding risky substances. Patients and physicians are often unaware of how LM can prevent, treat, or even reverse, many chronic diseases,10,11 including highly prevalent conditions like type 2 diabetes 12 and coronary artery disease. 13 Consequently, it is imperative to pursue strategies that encourage and support patients in transitioning to the health-promoting behavior patterns implicit in LM.
Table 1.
Pillar | Rationale |
---|---|
1. Nutrition | Extensive scientific evidence supports a whole food, predominantly plant-based diet as an important strategy in preventing chronic disease, treating chronic conditions, and, in intensive therapeutic doses, reversing chronic illness. Such a diet is rich in fiber, antioxidants, and nutrient dense, with a variety of minimally processed vegetables, fruits, whole grains, legumes, nuts, and seeds |
2. Physical activity | Regular and consistent physical activity combats the negative effects of sedentary behavior. Engaging in general physical activity and purposeful exercise weekly builds mental health, overall health, and resiliency |
3. Stress management | Stress, when appropriate, may improve health and productivity, but in excess can lead to anxiety, depression, obesity, immune dysfunction and more. Helping patients recognize negative stress responses, identify coping mechanisms and stress reduction techniques leads to improved well-being |
4. Avoidance of risky substances | Tobacco and excessive alcohol consumption increase the risk of chronic diseases and death, with similar impact from opioids and recreational drug use. Treatments take time, requiring varying approaches and many attempts, with patience and support essential to cease risky substance habits |
5. Restorative sleep | Inadequate sleep causes sluggishness, low attention span, decreased sociability, depressed mood, decreased daytime caloric burn, increased hunger, decreased satiety, insulin resistance, and decreased performance. Seven to nine hours nightly is associated with optimal health; under six hours or more than nine hours is associated with increased mortality |
6. Social connection | Positive social connections and relationships affect our physical, mental, and emotional health. Leveraging the power of relationships and social networks can help reinforce healthy behaviors |
1. Adapted from, American College of Lifestyle Medicine, https://lifestylemedicine.org/overview/.
Ninety percent of health care expenses in the United States are for chronic and mental health conditions. 14 Chronic disease is not only a large part of the US health care problem, constituting approximately 80% of the reasons for medical encounters, but is also rising in prevalence, largely because of lifestyle choices that influence eight of the top ten causes of mortality. 15 For example, cardiovascular disease is the leading cause of mortality in the US, with over 870,000 deaths in 2019 and approximately 125 million Americans living with heart disease or the sequelae of stroke. 16 The prevalence of diabetes is rising, with over 37 million Americans already diagnosed and another 96 million with prediabetes, impacting almost 50% of US adults. 17 About 42% of US adults are obese, almost double the rate in similar nations,1,18 and nearly 74% are overweight or obese, making a healthy lifetime weight uncommon. 19 Adults in the US are also likely to have multiple chronic conditions, with 68% reporting two or more.1,20
Importantly, current clinical practice guidelines for chronic conditions (e.g., hypertension, coronary artery disease, and type 2 diabetes mellitus) often recommend lifestyle changes as first-line or adjuvant treatment to help combat progression and excessive mortality.21–23 Despite these recommendations, health behaviors are not being routinely addressed even in primary care, which is best suited to be highly influential on health behavior change through continuity of care. 24 One reason for this discrepancy is that most clinicians are not adequately trained in lifestyle factors and how to effectively support patients in changing health habits.25,26 Adding to this problem are the time demands inherent in counseling and the lack of reimbursement for evidence-based lifestyle change treatment involving team-based care.
Implementing a LM approach in primary care, where disease risk factors are usually first recognized and chronic disease management is coordinated and continuous, could significantly improve patient outcomes and quality of life. For example, patients could increase life expectancy by up to 13 years by transitioning from a typical “Western Diet,” high in processed foods and animal products, to an “Optimal Diet” with higher intake of whole grains, legumes, fish, fruits, vegetables and nuts, and decreased intake of red and processed meats, sugar-sweetened beverages and refined grains. 27 Similar to dietary changes, adequate physical activity, consisting of only 200 minutes weekly of moderate intensity exercise (e.g., fast walking, easy cycling, hiking, dancing) could decrease mortality risk by 35% in older adults.28–30 Unfortunately, despite robust scientific evidence that beneficial lifestyle choices can prolong the lifespan and health span, relatively few adults are engaged in health-promoting behaviors. 31
To facilitate integrating LM services into primary care, the American College of Lifestyle Medicine (ACLM) convened an expert panel of primary care clinicians from multiple disciplines who also practice lifestyle medicine, including physicians, physician assistants (PAs), nurse practitioners (NPs) and clinical psychologists, to develop consensus statements relevant to LM approaches in a primary care setting. The objective of this expert consensus statement (ECS) was to define best practices for primary care clinicians for integrating LM into the primary care setting to achieve improved outcomes.
Methods
This ECS was developed according to an a priori protocol that has been previously described 32 and used for other ECS publications. 33 Pertinent details of these steps relevant to this ECS are briefly described.
Determination of Lifestyle Medicine Practice Models in Primary Care as the Topic of an ECS and Expert Panel Recruitment and Vetting
The need for an ECS to define essential components of LM practice that could be integrated into primary care and identify current barriers to this integration was based on perceived evidence gaps by ACLM leadership. Despite rapidly growing ACLM membership and board certification in LM by primary care clinicians, there was a clear need for consensus regarding how LM practice could best be integrated into a primary care setting. With this need in mind, the expert panel membership (physicians, NPs, PAs, a clinical psychologist and other professionals who practice LM) was strategically cultivated to ensure appropriate representation of relevant primary care stakeholder groups within ACLM (internal medicine, family medicine, pediatrics, preventive medicine, and behavioral medicine/psychiatry) and in two external groups—The American College of Preventive Medicine and the American Academy of Pediatrics—that accepted and then nominated their representative content experts (KRS and MLB, respectively) to participate.
All expert panel members were in active clinical practice or academic medicine, content experts in implementing LM in patient care, and agreed in advance of the appointment to participate in all verbal discussions (performed via web conference) and votes. Leadership for the ECS included ACLM members serving as chair (MLG), assistant chair (JTS), methodologist (RMR), and primary staff liaison (MCK).
Literature Review and Determination of the Scope of the Consensus Statement
The target audience was primary care providers wanting to integrate LM into their practice. Within this heading, target encounters with patients included both individual and group encounters that focused primarily on lifestyle and those that integrated LM into encounters for other purposes. The target population and setting were all patients encountered in primary care practice. The outcome was to encourage greater uptake of LM practice in primary care by educating clinicians on the unique aspects of LM that can be integrated into primary care to improve clinical results. In defining the scope, the expert panel agreed not to address statements related to using specific assessment tools, intensive therapeutic lifestyle changes, or detailed descriptions of the structure of patient encounters, such as exact duration or frequency of follow-up.
An information specialist helped develop and implement a search strategy to identify all recently published original research related to LM in primary care, including intervention programs, nutrition, or physical activity prescriptions, or shared medical appointments. The search was conducted in four databases: Medline, CINAHL, Embase and Cochrane trials, through September 30, 2022, by two team members (MCK and KS) with oversight from the information specialist. The search was not restricted to human studies, and no language restrictions were applied. Search strategies are presented in Supplementary Tables S1-S4.
After completing all searches, the citations identified, including abstracts, were screened for relevance independently by two team members (MCK and KS) using Rayyan abstract screening software 34 and Endnote. Abstracts were excluded if they were not focused on one of the topics listed (LM, treatment in primary care, including intervention programs, nutrition, or physical activity prescriptions, or shared medical appointments). The expert panel used the results of the literature searches, combined with their experience and perceived stakeholder needs, to propose topics relevant to the goals of the project which were to address controversial clinical issues, reduce variability in care, clarify evidence gaps, or improve quality of care through structured expert consensus. A consolidated list of topic areas was then prioritized by the expert panel used to develop one or more related statements for which consensus would be assessed using the modified Delphi survey method.
Delphi Survey Method Process and Administration
A modified Delphi survey method of three rounds of voting was utilized to assess consensus for the proposed statements, 32 using web-based software (www.QuestionPro.com) to administer confidential surveys to expert panel members. Five virtual meetings in total were conducted, with the third and fourth meetings focusing on deeper discussion of potential statements for revote, including statements of near consensus and selected statements of no consensus that were nonetheless considered important enough to warrant further clarification and consideration. For each Delphi round, the expert panel members rated their agreement, or disagreement, with each of the proposed statements using web-based software and a 9-point Likert scale, ranging from 1 = strongly disagree to 9 = strongly agree.
Criteria for Consensus
The criteria for consensus have been previously defined, and status was numerically calculated for each statement following the Delphi vote as consensus, near consensus, or no consensus. In brief, a statement achieved consensus with a mean score of 7.0 or higher and no more than 1 outlier response, defined as any rating 2 or more points in either direction from the mean score. A near consensus statement had a mean score of 6.5 or higher, with no more than 2 outliers, and a no consensus statement had a mean score below 6.5, more than 2 outliers, or both.
All experts completed all survey items and after each Delphi round the aggregate results were collated and distributed, but individual responses were blinded. The expert panel extensively discussed (via virtual conference) the results of each item after the first Delphi survey. The third iteration of the survey was used to finalize only ten statements which had been determined to merit a revote. The final version of the ECSs were grouped into several specific areas: Integration into Primary Care; Delivery Models; Provider Education; Evidence-Base for Lifestyle Medicine; Diagnosis and Vital Signs; Treatment; Resource Referral and Reimbursement; Patient, Family, and Community Involvement; Shared Decision-Making; Social Determinants of Health and Health Equity; and Barriers to Lifestyle Medicine. Each expert consensus member participated in the drafting and review of the final manuscript.
Results
The formal literature search produced 488 abstracts for screening after removing duplicates. After excluding results without abstracts, 451 results were moved into Rayyan for abstract screening. After abstract screening, 219 articles were identified as potentially relevant, with 28 specifically focused on LM, 72 on shared medical appointments (SMAs), and 68 on physical activity prescriptions. Full-text articles of the 28 specifically focused on LM were provided to the expert panel and included 8 review articles, 6 single-arm or pilot intervention trials, 4 descriptive reports of clinical practice, 4 retrospective studies, 2 case series, 1 randomized controlled trial, 1 cohort study, 1 cross-sectional survey, and 1 qualitative study. Additionally, recommendations or results from manual searching of the most recent, relevant position statements or other guidance documents from the collaborating organizations were reviewed by the panel to inform the process.
The expert panel initially proposed 97 topics as relevant to the ECS, which upon further discussion resulted in 124 statements under the following subtopics: Integration into Primary Care (n = 17); Delivery Models (n = 30); Provider Education(n = 6); Evidence-base for LM (n = 16); Diagnosis and Vital Signs (n = 5); Treatment (n = 21); Resource Referral and Reimbursement (n = 10); Patient, Family, and Community Involvement; Shared Decision-Making (n = 9); Social Determinants of Health and Health Equity (n = 4); and Barriers to Lifestyle Medicine (n = 6).
After the first Delphi survey, 18 statements that reached near consensus were revised to improve clarity and 1 no consensus statement was discussed further, prior to inclusion for voting in the second Delphi round. After the second Delphi survey, 10 statements that reached near consensus were revised for clarity and included in the third Delphi survey. After 3 iterations of the Delphi survey and removal of duplicative and similar statements, 65 statements met the standardized definition for consensus (Tables 2-11), and 59 did not due to a true lack of consensus (Supplementary Tables S5-S13). The consensus statements were organized into specific subject areas.
Table 2.
Number a | Statement | Mean | Outliers |
---|---|---|---|
1 | Lifestyle medicine is an essential component of primary care in patients of all ages | 8.7 | 1 |
2 | Primary care is the provision of integrated, accessible health care services that address a large majority of personal health care needs and develop sustained partnership with patients, while practicing in the context of family and community | 8.0 | 1 |
3 | Lifestyle medicine can help primary care clinicians identify and address the root causes of chronic disease | 8.3 | 1 |
4 | Lifestyle medicine is defined as, a medical specialty that prevents, treats, and, in some cases, reverses chronic disease by utilizing six pillars of active intervention that promote a predominantly whole food, plant-based dietary pattern, adequate physical activity, restorative sleep, stress management, positive social connections, and avoidance of risky substances | 8.2 | 1 |
5 | Strategies to implement and support behavior change are an essential component of a lifestyle medicine approach to patient care | 8.7 | 0 |
7 | Lifestyle medicine is distinct from functional medicine, complementary and alternative medicine, and integrative medicine | 8.0 | 1 |
8b | Lifestyle medicine interventions address the root causes of most chronic diseases, including chronic inflammation, impaired cellular function, and adverse gene expression | 7.8 | 1 |
10 | A clinician trained in lifestyle medicine is defined as one who has acquired the knowledge, ability, and skills to use evidence-based, prescriptive lifestyle interventions that address the root causes of chronic disease to improve or reverse, obesity, type 2 diabetes, cardiovascular diseases, and other conditions impacted by lifestyle that involve chronic inflammation | 7.6 | 1 |
11 | Integrating lifestyle medicine into primary care can improve patient outcomes and satisfaction | 8.4 | 0 |
12 | Integrating lifestyle medicine into primary care can reduce clinician burnout while increasing professional satisfaction and fulfillment | 8.2 | 0 |
13 | Lifestyle medicine is intended to complement, not replace, conventional medical approaches, such as pharmaceutical treatment, if those treatments are necessary for the patient to achieve optimal metabolic outcomes | 8.0 | 1 |
aNumber in the initial list of candidate statements.
Table 3.
Number a | Statement | Mean | Outliers |
---|---|---|---|
14b | Many lifestyle medicine services can be delivered in primary care settings | 8.1 | 1 |
20 b | To optimize delivery of lifestyle medicine services it is important to distinguish between lifestyle medicine assessment and counseling (intended to raise awareness and educate patients), therapeutic lifestyle medicine interventions (intended to address the root cause of a chronic disease through behavior change), and intensive interventions (intended to reverse, or promote remission of chronic disease) | 8.1 | 0 |
22 | Optimal lifestyle medicine services in primary care are best delivered through a multidisciplinary team approach utilizing a qualified clinician lead and qualified supporting health professionals | 8.3 | 0 |
24 | Lifestyle medicine services in primary care are best designed by clinicians trained in lifestyle medicine | 8.1 | 1 |
25 | Implementation of lifestyle medicine services in primary care may be supported by other members of the health care team who have been trained by certified clinicians | 7.7 | 1 |
26 | Lifestyle medicine services in primary care should be designed by clinicians trained in lifestyle medicine and implementation of those services may be supported by other members of the health care team who have ideally been trained by certified clinicians | 7.6 | 1 |
27 | Lifestyle medicine services in primary care can be designed and led by physicians or NPs and PAs trained in lifestyle medicine | 7.8 | 0 |
28 | The optimal lifestyle medicine encounter (new patient or follow-up) will have adequate time sufficient for a comprehensive lifestyle assessment and development of a treatment plan | 8.4 | 1 |
30 | Primary care clinicians can use the 5 A’s model (assess, advise, agree, assist, arrange) to engage patients in lifestyle medicine counseling and to empower them to make and maintain behavior changes | 7.6 | 1 |
31 | Lifestyle medicine services in primary care can be delivered through in-person or virtual appointments, either individually or in a group visit setting | 8.8 | 0 |
32b | Shared medical appointments are one effective way that LM services can be delivered in primary care | 8.0 | 1 |
33 | Shared medical appointments can improve patient outcomes, patient satisfaction, and provider satisfaction | 8.3 | 0 |
34 | Lifestyle medicine services in primary care can include interventions in various non-medical locations (e.g., schools, neighborhood centers, senior centers, YMCAs, places of worship and teaching kitchens), in addition to conventional health care facilities, to make participation as convenient and experiential as possible for patients | 8.1 | 0 |
aNumber in the initial list of candidate statements.
bThis statement emphasizes that lifestyle medicine services are diverse and can include assessment, counseling, interventions to address the root cause of a disease, and interventions to reverse or promote disease remission. The development group recognizes that these distinctions are not mutually exclusive and may overlap in practice.
Table 4.
Number a | Statement | Mean | Outliers |
---|---|---|---|
35 | Lifestyle medicine should be a foundational component of all health professional education | 8.8 | 1 |
36 | Lifestyle medicine should be a foundational component of medical school, residency, and continuing medical education for primary care clinicians | 8.8 | 0 |
37 | Lifestyle medicine should be a foundational component of medical education, and continuing medical education, for NPs and PAs | 8.5 | 1 |
38 | Primary care clinicians should be trained in competencies for all 6 lifestyle medicine domains and in motivational interviewing skills that enhance a patient’s motivation to change, to prescribe appropriate interventions and effectively help patients improve health behaviors | 8.1 | 1 |
39 | Primary care clinicians require lifestyle medicine education, skill-building and knowledge of standard lifestyle medicine resources to effectively deliver lifestyle medicine | 8.0 | 1 |
40 | All primary care clinicians should be trained in lifestyle medicine and should deliver lifestyle medicine services on a routine basis for all patients as a foundational component for health maintenance and treatment of many chronic diseases | 7.9 | 0 |
aNumber in the initial list of candidate statements.
Table 5.
Number a | Statement | Mean | Outliers |
---|---|---|---|
41 | Lifestyle medicine can decrease overall health care costs and improve health outcomes in patients who are able to make sustained behavioral changes | 8.8 | 0 |
43 | Lifestyle medicine can promote health equity by serving historically marginalized populations, who often suffer disproportionately from chronic diseases such as diabetes and cardiovascular disease | 8.3 | 0 |
44 | Lifestyle medicine can advance planetary health | 7.8 | 0 |
45 | Lifestyle medicine can advance planetary health by encouraging patients to adopt climate-healthy behavior changes, such as a plant-forward diet. | 7.9 | 1 |
46 | Lifestyle medicine is informed by an established, and rapidly growing, evidence-base of peer-reviewed research that includes systematic reviews, randomized trials, large cohort studies, and other scientific publications | 8.6 | 0 |
47 | Current evidence supports lifestyle medicine as the foundation of managing chronic, non-communicable disease | 8.6 | 0 |
48 | When feasible, lifestyle medicine clinicians should study, research, and publish findings to improve the evidence-based practice of lifestyle medicine | 8.4 | 0 |
aNumber in the initial list of candidate statements.
Table 6.
Number a | Statement | Mean | Outliers |
---|---|---|---|
49 | Lifestyle medicine vital signs should be assessed at every patient encounter | 7.1 | 1 |
51 | Simple, ideally validated, screening questions or technologies for each of the 6 lifestyle medicine domains should be incorporated into baseline and periodic patient care to monitor progress in improving health behaviors | 8.2 | 1 |
52 | Lifestyle behavior assessment tools are ideally validated, but other clinically relevant assessment tools are an acceptable adjunct | 7.9 | 1 |
aNumber in the initial list of candidate statements.
Table 7.
Number a | Statement | Mean | Outliers |
---|---|---|---|
53 | Primary care clinicians should advocate for a predominately whole food, plant-based eating pattern | 7.8 | 0 |
54 | The optimal lifestyle medicine practice educates patients about the benefits of a predominately whole food plant-based eating pattern and addresses the other pillars of lifestyle medicine through assessment, education, and appropriate intervention | 7.9 | 1 |
55 | The optimal lifestyle medicine practice strives to use the 6 pillars of lifestyle medicine as treatment for chronic diseases such as obesity, type 2 diabetes, cardiovascular diseases, and other conditions impacted by lifestyle that involve chronic inflammation | 8.1 | 1 |
56 | The optimal form of lifestyle medicine treatment may vary based on patient characteristics, but may include elements of intensive therapeutic lifestyle change, shared medical appointments, and/or individual counseling | 7.9 | 1 |
57 | Lifestyle modifications are the first-line of treatment in the standard of care for managing many chronic diseases; including obesity, type 2 diabetes, cardiovascular diseases, and other conditions impacted by lifestyle | 8.5 | 1 |
58 | Clinicians should use motivational interviewing to elicit change in lifestyle behaviors that impact health and function | 7.8 | 0 |
59 | Clinicians should assess patient readiness for change using established methods as part of any plan to implement lifestyle medicine | 8.3 | 1 |
60 | The transtheoretical model of change (precontemplation, contemplation, preparation, action, and maintenance) is a common, and effective, way to efficiently assess patient readiness to change during an office encounter | 8.3 | 1 |
62 | Appropriate deprescribing of medications is an essential part of safe and effective lifestyle intervention treatment | 7.6 | 1 |
67 | Lifestyle medicine success can be measured by using traditional biomarkers, such as body weight, blood pressure, and conventional labs (e.g., lipid panel, hemoglobin A1c, kidney and liver function, HS-CRP, etc.,) and by patient-reported measures (e.g., quality of life, physical activity vital sign, etc.,) | 8 | 0 |
68 | When indicated, lifestyle medicine should be used in conjunction with conventional medical interventions that have well-established clinical benefits | 8.2 | 1 |
69b | Treatment success in lifestyle medicine is ideally based upon patient outcomes; including the extent to which the patient’s symptoms and conditions are improved or remission is achieved | 7.6 | 1 |
84 | The success of lifestyle medicine interventions can be measured by the level of patient engagement in behavioral modification for desired health habits via goal setting and meeting SMART (specific, measurable, achievable, relevant, and time-bound) goals, along with improvements in pertinent patient biometrics | 7.4 | 1 |
aNumber in the initial list of candidate statements.
Table 8.
Number a | Statement | Mean | Outliers |
---|---|---|---|
75 | Reimbursement models that incentivize primary care providers to effectively collaborate with patients to implement evidence-based lifestyle change and improve clinical outcomes are necessary to optimally integrate lifestyle medicine into primary care | 7.7 | 1 |
76 | Reimbursement for lifestyle medicine care can be value-based, linking payments for care delivery to the quality, efficiency, and effectiveness of care provided | 7.6 | 1 |
aNumber in the initial list of candidate statements.
Table 9.
Number a | Statement | Mean | Outliers |
---|---|---|---|
80 | Lifestyle medicine encourages patients to be active participants in their care | 8.5 | 1 |
81 | Lifestyle medicine encourages patients to be active participants in their care through interventions designed to promote positive patient behavior by providing coaching support as well as opportunities for knowledge attainment, and skill-building necessary for success | 7.9 | 1 |
83 | Effective implementation of lifestyle medicine is enhanced by partnerships with community programs that provide health education and health promotion activities | 8.1 | 1 |
85 | Technology can be used to support patient health, behavior change, and maintenance | 8.4 | 0 |
86 | Optimal outcomes in lifestyle medicine occur when the patient’s family and support system are included in the intervention plan | 7.8 | 0 |
87 | Effective lifestyle medicine dosing/delivery is accomplished by titrating the interventions in a patient-centric manner that leads to concomitant improvement in relevant health outcomes | 7.7 | 1 |
aNumber in the initial list of candidate statements.
Table 10.
Number a | Statement | Mean | Outliers |
---|---|---|---|
42a4 | Ensuring that historically marginalized populations have access to lifestyle medicine is a key component of achieving health equity | 7.9 | 1 |
88 | Clinicians are encouraged to make lifestyle medicine recommendations that are in alignment with and respectful of their patient’s cultural background | 8.5 | 0 |
89 | Clinicians should recognize that social determinants of health can lead to unhealthy behavior choices and health disparities among vulnerable populations | 8.4 | 1 |
aNumber in the initial list of candidate statements.
Table 11.
Number a | Statement | Mean | Outliers |
---|---|---|---|
94 | The current fee-for-service model of reimbursing office visits (e.g., rewarding productivity vs outcomes) is a barrier to sustainable lifestyle medicine practice because of the added time needed for these visits, which requires active patient participation focused on improving health behaviors, compared to conventional medical encounters where the patient is more of a passive participant | 7.3 | 1 |
aNumber in the initial list of candidate statements.
Integration of LM into Primary Care
Eleven statements about integrating LM into primary care reached consensus (Table 2). When considered in aggregate, these statements highlight the importance of LM as a medical specialty to primary care clinicians for improving patient outcomes and satisfaction by addressing the root causes of most chronic diseases and implementing strategies to support healthy behavior change. Expert panel members agreed that primary care settings provide vast opportunities to work collaboratively with patients in their communities to promote health care. Additionally, they agreed that by developing knowledge, skills, and abilities through training in LM, primary care clinicians can optimally engage with their patients to prevent, treat, and possibly reverse many chronic diseases and improve satisfaction with care.
Three statements reached near consensus and three statements did not reach consensus (Table S5). Those statements contained themes related to definitions of primary care and LM, and practice considerations related to addressing root causes of chronic diseases, reversing chronic diseases, or both. Expert panel members concluded those statements fell outside its purview, lacked a solid evidence-base, or that other statements that reached consensus better fit within those themes.
Delivery Models
Thirteen statements about LM delivery models in primary care reached consensus (Table 3), nine statements were near consensus, and seven statements did not reach consensus (Table S6). Panel members agreed (Table 3) that many LM services can be delivered in primary care, through individual or group modalities designed and led by LM-trained physicians, NPs, or PAs. Further, the panel reached consensus that the optimal delivery of LM services in primary care includes a multidisciplinary team and adequate encounter time.
The expert panel also agreed on some important aspects of delivering LM services, including a distinction between services intended to raise awareness and educate patients (assessment and counseling), services intended to address the root cause of a chronic disease through behavior change (therapeutic LM intervention), and services provided with sufficient intensity and duration at an appropriate therapeutic dose specifically designed to reverse or promote remission of chronic disease (intensive LM intervention). Appointments for LM services could be in-person or virtual, in an individual or group setting, should empower patients to make and maintain behavior changes, and can include diverse non-medical settings to make participation as convenient and experiential as possible for patients.
Provider Education
All six consensus statements regarding provider education reached consensus (Table 4). The statements focused on the foundational role of LM in health education and training for physicians, PAs, NPs, and other members of the health care team. The consensus on statements related to education was very strong, ranging from 8.5 to 8.8 on a Likert scale with a maximum 9.0 response. Additional consensus noted that this education ideally occurs throughout the learning continuum, including schooling, training, and continuing education. All six domains of LM (Table 1) were agreed upon as being important in this regard, as are motivational interviewing skills for behavior change. There was consensus that optimal provider education teaches LM as the foundation of chronic disease prevention and treatment.
Evidence-Base for Lifestyle Medicine
Seven statements reached consensus regarding the evidence-base for LM (Table 5). Three statements reached near consensus, and five statements did not reach consensus (Table S7). Consensus was reached on LM’s ability to decrease health care costs and improve health care outcomes through patients’ adoption of sustained behavior changes and to improve planetary health with beneficial health behaviors such as plant-forward eating patterns. Consensus was also reached that serving historically marginalized populations who suffer disproportionately from chronic disease can promote health equity, and that ensuring access to LM for these population is a key component of achieving health equity. The expert panel also agreed that current evidence supports LM as the foundation of care for chronic disease, that LM is informed by an established and rapidly growing body of evidence from peer-reviewed research, and that when feasible, LM clinicians should conduct additional research to improve evidence-based practice of LM.
Vital Signs
Three statements about LM “vital signs” and assessments reached consensus (Table 6). In this context, a LM vital sign refers to using a survey, questionnaire, or other measure to determine where a given patient falls on the spectrum of adherence to each of the 6 LM pillars. One statement reached near consensus, and one statement did not reach consensus (Table S8). Expert panel members agreed that lifestyle behavior vital signs should be assessed at every patient encounter, while screening questions or assessments for each of the six LM domains should be included at baseline and repeated periodically to monitor progress over time. Ideally, these tools should be simple and validated; however, other clinically relevant tools were deemed acceptable adjuncts.
Treatment
Thirteen statements about LM treatment reached consensus (Table 7), three statements reached near consensus, and six statements did not reach consensus (Table S9). There was consensus that an optimal LM practice should incorporate the 6 pillars of LM as first-line treatment of chronic conditions that are affected by lifestyle, including advocacy for a predominantly whole food, plant-based eating pattern. There was consensus on the importance of deprescribing medications in successful LM treatment; however, the optimal step-down practices for deprescription only reached near consensus. The expert panel agreed that clinicians should use established methods, such as the transtheoretical model and motivational interviewing, to assess and treat patients in LM practice. Two statements about measuring treatment success of LM interventions reached consensus.
Resource Referral and Reimbursement
Two statements involving reimbursement for LM services in primary care reached consensus (Table 8). Expert panel members agreed that reimbursement issues are currently an obstacle for many clinicians in their quest to integrate LM services into primary care, with lack of sustainable reimbursement a substantial disincentive; and that incentivizing primary care clinicians to effectively collaborate with patients in supporting health-promoting behavior change is critical for optimizing clinical outcomes through a LM approach. Additionally, the panel recognized that a value-based care reimbursement model can support effective delivery of LM interventions in primary care if the evaluation metrics are selected to sustainably compensate clinical outcomes, as opposed to process measures.
Two statements regarding resource referral or reimbursement reached near consensus, and six statements were classified as no consensus (Table S10). Many of these statements contained references to Intensive Therapeutic Lifestyle Change (ITLC) interventions, regarding which the experts had robust discussion on what elements specifically constitute ITLC, what level of training is necessary to provide ITLC services, what clinical parameters suggest a need for referral to an ITLC program, in what setting is ITLC best delivered and whether ITLC interventions could be considered a part of primary care. These concepts represent currently unresolved questions in the field of LM and will be best addressed by future research and expert consensus projects.
The remaining statements that did not reach consensus centered on the perceived scarcity of sustainable reimbursement models for LM services. For example, many panel members were hesitant to agree that SMAs were cost-efficient under the current fee-for-service (FFS) model; despite acknowledging that SMAs are an effective tool for patient education and supporting behavior change. Additionally, statements on whether a capitated reimbursement model could successfully support LM integration into primary care, optimal staffing models for financial viability in a fee-for-service system and whether LM that also necessarily addresses social determinants of health is essential for the financial success of organizations that are transitioning to a value-based care model did not reach consensus.
Patient, Family, and Community Involvement; Shared Decision-Making
Six statements about patient, family and community involvement, and shared decision-making reached consensus (Table 9). Expert panel members agreed that LM encourages patients to be active participants in their care, and that implementing LM can be achieved and enhanced through partnerships with community programs. Furthermore, technology and family support can also facilitate behavior change and maintenance, while patient-centric delivery and dosing in a titrated manner leads to improvement in health outcomes. The remaining two statements addressing patient, family and community involvement, and shared decision-making reached near consensus (Table S11). Expert panel members differed on how shared decision-making is best accomplished.
Social Determinants of Health and Health Equity
Three statements regarding social determinants of health and health equity reached consensus (Table 10), one reached near consensus, and one did not achieve consensus (Table S12). Of the three statements that reached consensus, one was unanimous and the other two had only one outlier. The expert panel agreed that LM can improve health equity by ensuring that access includes historically marginalized populations who suffer disproportionately from chronic disease. In addition, consensus was reached on the importance of clinicians recognizing that social determinants of health can be a factor in disparate access to care and resources which can hinder healthy behaviors and may in turn lead to further increases in health disparities. The expert panel also agreed that LM recommendations should be respectful of and in alignment with the patient’s cultural background.
Barriers to Lifestyle Medicine
Only one statement about barriers to LM practice reached consensus (Table 11). All other statements within this category (n = 6) did not achieve consensus (Table S13). Expert panel members agreed that the current FFS model was a barrier to practicing sustainable LM. They noted that having longer visits to engage patients in health behavior change was financially disincentivized in the FFS model.
Discussion
This ECS is the first publication to identify best practices for integrating LM into primary care, drawing from experience of multidisciplinary experts using a validated and well-established process for assessing consensus, near consensus, and no consensus on key issues. Despite the diverse backgrounds and clinical settings of the expert panel, we achieved consensus for 65 statements reflecting the core belief that LM is the foundation of health care education, training, and practice. Moreover, implementing LM in primary care settings benefits providers and patients by identifying the root causes of many chronic diseases that may be prevented, managed, or even reversed using lifestyle interventions coupled with proactive strategies for healthy behavior change. In the remainder of this section, we add nuance to the consensus statements by discussing their relevance to everyday clinical care and their pragmatic implementation into practice settings.
Integration of LM into Primary Care
Through sustained partnerships with patients, families, and communities, primary care clinicians are well-positioned within an integrated health care setting to treat chronic disease by incorporating LM into everyday care. LM may have added relevance to diseases involving chronic inflammation, impaired cellular function, and adverse gene expression. LM should complement, not replace, conventional medicine; and is distinct from functional medicine, integrative medicine, and alternative medicine. By developing the knowledge, ability, and skills to identify root causes of chronic disease (i.e., unhealthy eating, physical inactivity, inadequate sleep, unmanaged stress, lack of social connection, and use of risky substances), primary care clinicians trained in LM are best positioned to apply evidence-based interventions that engage, empower, and support patients of all ages. In doing so, they can prevent, treat, and potentially reverse chronic disease to improve patient outcomes and satisfaction.
Primary care clinicians and patients are receptive towards addressing behaviors associated with health such as nutrition, physical activity, and unhealthy substance use, and patients benefit from prescriptive support; however, clinicians often lack the specific knowledge or time to provide this care. 35 Advancing LM within primary care may require innovative thinking about how and by whom health care is delivered, clinician competencies, patient engagement, the time and structure of patient visits, and models for reimbursement.36,37
Delivery Models
Despite multiple studies showing that many LM services can be implemented successfully in primary care settings,38–41 the expert panel members could not agree on a specific delivery model for implementing LM routinely in everyday primary care settings. This lack of consensus was partly driven by the current lack of high-quality studies available to guide evidence-based implementation. 42 Further, expert panel members discussed that, despite having the requisite clinical skills, effective delivery of LM interventions in the primary care setting is disadvantaged by the lack of administrative support, time constraints during patient visits, and inadequate financial reimbursement. These limitations are intimately related to the current financial structure of the US health care system that incentivizes “sick care” rather than health care, including performance measures that would disincentivize disease reversal.43,44 Accountable care organizations, direct primary care, chronic care management, and medical homes are existing delivery and payment models that better align with the principles of value-based care, which support the necessary infrastructure to deliver valuable primary care that is enhanced by LM.
Although health care reform may be imperative to improve patient outcomes, the expert panel did not agree that enhancing primary care support with additional resources is required to begin integrating LM into routine patient care. Primary care clinicians could, for example, collaborate with patients to develop individualized nutrition prescriptions or create a self-management plan using the 5 A’s model (Assess, Advise, Agree, Assist, Arrange). 45 LM services in primary care can be delivered through individual or group appointments via in-person visits, virtual platforms, or at non-medical locations such as schools, community centers, work sites or teaching kitchens. SMAs are also a clinically effective model for delivery of LM services in primary care, based on their ability to improve outcomes for obesity, cardiovascular risk factors, type 2 diabetes mellitus, heart failure, and chronic pain.38,46–50 SMAs can improve outcomes and reduce cost in specific populations, but data are limited in primary care settings and further research is required to confidently generalize results these settings.46,51,52
The expert panel members agreed that LM interventions in primary care are best designed and led by physicians, NPs, or PAs trained in LM. Certification through the American Board of Lifestyle Medicine (ABLM) or ACLM is beneficial for clinicians who wish to provide LM services. LM services are optimally delivered through a multidisciplinary team approach 39 and by selecting an appropriate intervention intensity (i.e., dose) for each patient. The intensity of the prescribed intervention can be determined by assessing patient disease severity and factors that affect the patient’s ability to implement lifestyle change such as readiness to change, biopsychosocial factors, and social determinants of health, among others. 53 The expert panel was unable to reach consensus regarding whether high-dose (i.e., intensive) LM interventions can be effectively delivered in the primary care setting or if patients should be referred to a specialty LM setting instead.
Provider Education
The consensus statements regarding LM as a foundation of all health care suggest a need to incorporate LM into all health care professionals’ training and continuing education. There is encouraging momentum to implement LM into medical training, but much more is needed for the practice of LM to become mainstream. 54 At least four medical schools have incorporated LM-specific training at the undergraduate level. 54 Undergraduate medical education competencies for LM were developed and published in 2021. 55
Some of the challenges of including LM in medical school education include a “lack of awareness of the efficacy of LM, lack of time to implement, and lack of standardized curriculum.” 54 At the post graduate level, among residencies, the Public Health and General Preventive Medicine specialty incorporated an Accreditation Council for Graduate Medical Education (ACGME) milestone on LM in July 2022, meaning all residents in this specialty will be evaluated on this competency. 56 The Lifestyle Medicine Residency Curriculum (LMRC) is a joint effort by Loma Linda University Health and the ACLM to fill LM gaps in any specialty’s residency training. Most of the residency programs that have adopted the LMRC are primary care specialties, but LM applies to most, if not all, non-primary care specialties as well.
Next steps could include incorporating LM knowledge on NBME board examinations for medical students and residents. Another option would be to include LM education as part of the core competencies for residency accreditation by the ACGME. Educating current and future primary care providers in LM is of vital importance for reducing the rising prevalence of chronic disease and for optimizing patient health outcomes.
Evidence-Base for Lifestyle Medicine
In addition to the rapid growth of LM as a medical specialty and a concurrent interest in provider certification, the evidence-base that underpins the value and efficacy of LM is growing rapidly. 57 In March 2023, 951 results containing the term “lifestyle medicine” were found in PubMed, as compared to only 296 results by the end of 2017. Of these 951, over 80 are original research, such as intervention trials or randomized controlled trials, observational cohort studies, case series, or meta-analyses. The rapid growth in basic science and clinical research relating to LM led to the Lifestyle Medicine Research Summit in 2019, 58 which advanced our understanding of how the six domains of LM affect epigenetics, microbiome, neuroplasticity, cellular dysbiosis, and the core pathogenetic process of inflammatory-related chronic diseases, thereby providing compelling evidence that LM can prevent, treat, and reverse chronic diseases. 58 LM domain-specific research priorities defined focus areas for LM practitioners to study and publish to further advance healthy behaviors and supportive environments as the foundation of care. 58
Individuals who sustain healthy behavior change(s) improve clinical and health care cost outcomes.59–64 Unhealthy behaviors and the environments that reinforce them are disproportionately observed in historically marginalized populations. As such, LM can address these needs when approaches are culturally tailored and inclusive of social determinants of health.59,65,66
Evidence is also emerging that highlights improved adherence and better outcomes when coaching is prescribed by clinicians. In one integrated coaching model with prescriptions embedded in the electronic medical record at a large health system in the northeast US, a nearly a 10-fold greater engagement and completion of behavior change programs were observed when prescribed by provider vs traditional outreach from the health plan. 67 These improvements in adherence, health outcomes, and cost of care can also extend to planetary health. As one of the six domains of LM is the use of a whole food, predominantly plant-based diet, the expert panel discussed improving planetary health through the reduction of greenhouse gasses, which is associated with less consumption of red meat and ultra-processed foods. 68
Vital Signs
The crux of successful LM treatment is sustained patient health behavior change. Having methods to measure and track patient progress over time is critical for facilitating this process. Vital signs are measured at every visit, as they are considered essential to the care of a patient. The concept of LM vital signs was introduced to emphasize the importance of evaluating lifestyle factors. The ideal duration and frequency of administration is not known for many of the currently available tools, though they should be performed when clinically relevant (i.e., at baseline and monitored periodically as needed to track progress over time).
LM vital signs have been discussed for many years, though universal agreement has not been achieved on what these metrics contain. The only broadly recognized LM-specific vital sign is the Physical Activity Vital Sign, 69 a validated, three question tool that can quickly assess a patient’s weekly minutes of physical activity and number of resistance training sessions. Capturing these data 1) emphasizes the importance of physical activity to the health care team and the patient, 2) allows for a comparison to current physical activity guidelines, 3) creates an opportunity to discuss physical activity and its impact on health, and 4) can serve as the basis to co-create a SMART (specific, measurable, achievable, relevant, and time-based) goal that improves this health metric.
Validated short and long questionnaires/screening tools exist for all pillars of LM (i.e., Nutrition-Starting the Conversation, Physical Activity-International Physical Activity Questionnaire, Sleep-Single Item Sleep Questionnaire, Stress-Perceived Stress Scale, Social Support-A Brief Measure of Social Support, Substance Use-NIDA Quick Screen).70–74 Validated tools are preferred, as they typically have been studied and confirmed to be accurate reflections of the information they are gathering and may also relate to a health outcome of interest. However, there was recognition amongst the expert panel members that current validated tools are not necessarily LM-specific and may not provide the sensitivity or responsiveness necessary for engaging in effective conversations regarding behavior change prescriptions. For this reason, it was felt that other clinical tools, such as the Lifestyle Medicine Assessment, could be acceptable adjuncts to assessing lifestyle behaviors. 75
Regardless of the questionnaires or assessments utilized, having consistent ways to measure and track patient lifestyle behavior change over time is critical to ensure that the patient is receiving optimal LM dosing that can achieve the desired health outcomes. Further research focused on validation of LM-specific assessments and screening tools will be a beneficial adjunct to the currently available options for LM clinicians.
Treatment
Most clinical experts recommend lifestyle changes as first-line or adjuvant interventions when approaching chronic conditions such as cardiovascular disease, 76 obesity, 77 or other chronic disease. 78 Our expert panel agreed that LM provides a structured approach in treating lifestyle-related chronic disease with an emphasis on its 6 pillars (Table 1), with special emphasis on recommending a predominantly whole food plant-based eating pattern. Motivational interviewing techniques and assessing readiness for change were highlighted as efficient and effective tools that provide a framework for clinicians to follow the guidelines and positively impact their patients’ lives. 79 The expert panel further agreed that these changes can be achieved through SMAs, intensive lifestyle change interventions, or individual counseling. The approach should be individualized; and while some of these options may not be conventional, they have been shown to be effective in achieving improved patient outcomes.80,81
Expert panel members discussed the importance of pharmaceutical deprescribing, when appropriate, within optimal LM practice given the pervasive challenge of polypharmacy and the frequently rapid improvement in biometric parameters such as blood pressure and blood sugar when transitioning to beneficial lifestyle behaviors. However, this responsibility may be shared by other medical disciplines. Further study is required to determine the ideal approach to medication de-escalation or deprescription for many chronic conditions; as such, panelists were not able to come to consensus about best deprescription practices, but were agreed that deprescribing is essential when lifestyle changes result in overmedication of a patient.
Behavior change is one of the most important aspects of LM. There was substantial discussion and agreement that assessing patient readiness for change and using tools such as motivational interviewing are important strategies to promote health behavior change. 82 Patient-focused collaborative approaches to behavior change that recognize patients’ goals have been shown to be a powerful strategy for increasing the effectiveness of a clinician’s interventions. 83
While patient engagement and improvement are impactful, disease remission is one of the most powerful outcomes. Clinical trials have been published on disease reversal through lifestyle modification; however, more research is needed in this area.13,84,85 The topic of ITLC generated substantial discussion. Although consensus was not reached regarding various aspects of ITLC, panel members generally felt that intensive LM interventions can reverse some chronic conditions.
Resource Referral and Reimbursement
LM interventions for chronic disease treatment and reversal are effective in diverse settings, often out-performing results delivered by standard of care approaches.86–89 In contrast, sustainable reimbursement for LM services has been challenging to achieve. A 2018 survey of members of the ACLM revealed that 57% of respondents were not compensated for LM services in clinical care. In addition, for the 42% who were being compensated for the LM services the majority reported direct cash payment as a fundamental component of their reimbursement strategy. 90 A more extensive cross-sectional survey in 2021 found similar results, with 55% of respondents reporting being unable to obtain reimbursement for their LM services. This survey identified reimbursement challenges, including those related to spending more time with patients and payment for the extended care team, as primary obstacles to providing LM services. 91
Our expert panel members agreed that reimbursement issues pertaining to LM services are one of the principal challenges impeding the implementation of this approach. There was strong consensus supporting the need for reimbursement models that incentivize effective collaboration with patients to implement evidence-based lifestyle change as a necessary step for successfully integrating LM into primary care. The expert panel also agreed that a value-based care model could be an effective path for reimbursement of LM services, if the metrics selected for evaluation of value calculation emphasize patient outcomes over process measures. The remaining statements pertaining to reimbursement did not reach consensus, highlighting the lack of agreement among the panel regarding what reimbursement models are effective for sustaining a LM approach in clinical practice. The current FFS model was identified as being specifically challenging to navigate.
The expert panel was unable to come to consensus regarding the cost-effectiveness of SMAs under a FFS model, despite agreement that SMAs are an efficient and effective approach for providing patient education, group support and facilitating behavior change. This assessment aligns with survey results of LM practitioners demonstrating that 59% of respondents reported difficulty achieving sufficient reimbursement from SMAs due to the unpredictability of adequately filling the group visit during normal operating hours of operation and the challenge of obtaining compensation for services provided in non-healthcare community settings, which despite being more convenient for patients lack an NPI number for reimbursement. 91 Some clinicians successfully provide LM services in the FFS model using standard evaluation and management billing codes (99202-99215), chronic care management (CCM) and remote patient monitoring (RPM) codes and a multidisciplinary care team utilizing several billable provider types (physician, NP, PA, RDN, PT/OT, licensed behavioral counselor), including SMAs.90,92 However, alternative payment models that adequately reimburse the time-intensive, comprehensive approach to supporting health behavior change that is necessary to achieve an optimal therapeutic dose leading to improve clinical outcomes are desperately needed to accelerate the integration of LM into primary care.
Regarding referral resources, LM is most effective when implemented as a team-based approach. 93 The team may include physicians, NPs, PAs, registered dieticians, physical and occupational therapists, licensed behavioral counselors, fitness professionals, pharmacists and health coaches. Team members may all practice in the same location or they may be part of a referral network to provide all the services inherent in a LM approach to patient care.
A topic of considerable discussion and debate amongst the expert panel members was the appropriate use of ITLC interventions; specifically, regarding what elements constitute ITLC, what level of training is necessary to provide ITLC services, under what clinical circumstances a referral to an ITLC program is warranted, in what setting is ITLC best delivered and whether ITLC interventions could be considered a part of primary care. ITLC programs have been previously defined in the literature as an evidence-based, multi-modal intervention that includes multiple sessions (usually 8 to 20) for at least 60 minutes per session and a duration of 10 days or longer. 94 However, as the field of LM has continued to advance, including the addition of board certification through the ABLM for physicians, a specialty certification for Lifestyle Medicine Intensivists and an educational pathway for ABLM board-eligibility for US medical residents, the optimal definition of an ITLC intervention and who is qualified to provide it have been targeted for further clarification. The expert panel members were unable to agree regarding these currently unresolved concepts in the field of LM but remain confident that they will be addressed by future research and expert consensus projects.
Patient, Family, and Community Involvement; Shared Decision-Making
Health behavior change, which is integral to preventing and treating most chronic diseases, is best achieved and most effective for patients when their family, community and support systems are involved.36,95,96 Furthermore, community-based programs have the potential to tailor interventions, so they are relevant and effective for an individual community. 97 Digital health technologies have also been used to promote knowledge and build skills necessary for successful patient health outcomes and can be incorporated across diverse populations. 98
LM in primary care is uniquely equipped to address patient needs through collaboratively working with patients, families, and local communities. Primary care clinicians have opportunities to engage patients in their care and continuously support them as they develop the knowledge and skills to improve their health. Consensus was reached that LM encourages patient-centered care, and optimal models to achieve this in primary care involve the patient, family, community partnerships, and digital resources. The expert panel members acknowledged that determining the ideal shared decision-making approach to integrate patients, families, and local communities is best achieved through individual clinician expertise that considers the specific patient population being served.
Social Determinants of Health and Health Equity
The Center for Disease Control and Prevention defines health equity as “when everyone has the opportunity to ‘attain their full health potential’ and no one is ‘disadvantaged from achieving this potential because of their social position or other socially determined circumstance’.” 99 Health equity has also been defined as “the absence of systematic disparities in health (or in the major social determinants of health) between groups with different levels of underlying social advantage/disadvantage—that is, wealth, power, or prestige.” 100 Social determinants of health are underlying societal constructs or factors that contribute to health inequities. Examples include racism, poverty, poor access to health care, lack of education and low health literacy. There is a growing recognition that health outcomes are more impacted by zip code than genetic code. 101 Other factors that portend greater obstacles to health include religion, sexual orientation, gender identity, mental health, and physical ability. These factors lead to preventable differences in health status due to discrimination or exclusion. 102
There was expert panel consensus on the importance of addressing social determinants of health, and ensuring that lifestyle medicine recommendations are in alignment with and respectful of the patient’s cultural background. The need for policy interventions to address upstream factors is supported by a growing body of research. 103 The majority of the expert panel agreed that advocacy for addressing social determinants of health should be considered a part of LM, but also felt strongly that advocacy efforts are a responsibility of all medical specialties and all components of health care, not specific to LM alone.
The National Cancer Institute’s guide for health promotion practice reviews the ecological model of health. The ecological model of health looks at multiple factors that influence healthy behavior. LM strives to address the factors that influence health behavior in a personalized fashion; however, consensus was not reached regarding including the ecological model of health. 104
Combined primary care and community-based programs that are in alignment with and respectful of patient’s cultural backgrounds can improve health by increasing health literacy and access to resources such as healthy food.105,106 As such, clinicians are encouraged to work closely with their patients to make lifestyle recommendations that are individualized and in alignment with the patient’s goals and cultural background. This personalized approach to medicine is based on open communication, respect, and recognition of the strengths and resources in all individuals and communities.
Barriers to Lifestyle Medicine
Achieving equitable reimbursement for the value LM practice provides has been challenging in the FFS model. LM services focus on partnering with patients to engage, empower, and facilitate health behavior change. However, the FFS model incentivizes patient volume (number of visits and procedures) over value (improved clinical outcomes at lower cost). This misalignment in patient, provider, and payer preferences has likely hindered both the adoption, delivery, and effectiveness of LM services within primary care.
One study of ACLM members found that 25% do not provide LM services. Over half of the members who reported providing LM services said they did so without receiving compensation for that care. 90 This reality has led to LM physicians, NPs and PAs seeking alternative reimbursement models, such as direct primary care, concierge medicine, or cash practices that better align incentives for all parties. Presumably, as payments shift toward value-based driven care, LM stands to become increasingly utilized as a foundational component of treatment. Until then, financial constraints will likely limit its uptake within primary care; though the panel agreed that brief LM counseling interventions can be integrated into current clinic workflows and that SMAs are an option for leveraging more time for patient education and group support.
Strengths and Limitations
Our research is unique in providing the first expert consensus statements on the inherent relevance of LM to primary care and the essential components of LM practice that can be integrated into primary care practice to help achieve optimal outcomes. We also raise awareness of current barriers to integration of LM into primary care to help inform health care transformation efforts.
A key strength of our research process is the explicit and trustworthy methodology 32 that has been previously tested and validated by the American Academy of Otolaryngology—Head and Neck Surgery in developing multiple consensus documents. Trustworthy methodology is especially important when assessing expert consensus, to limit bias and distortions that may be introduced by expert panel members, particularly when conclusive research evidence is lacking. Highlights of our ECS process include a priori methodology to identify and prioritize key issues, translate the issues into statements for consensus, categorize consensus based on mean rankings and outliers, and refine statements using the iterative Delphi process.
Another key strength is the diversity and breadth of the expert panel members, which comprised clinicians from both academic and community health system settings with representatives from a variety of professional disciplines, including members of the American College of Preventive Medicine and the American Academy of Pediatrics selected by their respective organizations. Some of the panel members currently practice both LM and primary care, and some members were prior primary care providers now providing specialty LM services in collaboration with primary care and/or community health. Review of the available scientific evidence combined with the experience of our panel informed 124 consensus statements on topics relevant to LM practice as it relates to primary care. Strong consensus was achieved on 65 statements that can be used as a starting point for future improvements to the primary care model and highlighted areas that should be prioritized for further study.
Limitations include that despite collecting expert a priori evidence with explicit data forms we cannot exclude bias, recall, or reporting errors as potential sources of distortion. Our efforts were also limited by gaps and uncertainties in the relevant literature. Many of the studies were based on providing specific interventions (SMAs, stress management, lifestyle education, health coaching, physical activity) to subsets of patients in primary care (cancer survivors, patients with obesity, metabolic syndrome, CVD risk factors, depression, minor neurocognitive disorder). Some were LM specialty centers vs primary care practices. Despite the strong consensus on the need to regularly measure LM vital signs, there is no agreement on the optimal, pragmatic way to accomplish this in practice, nor on which specific tools or measures are best suited for this purpose. A final limitation of our research relates to the nature of an ECS, in general, which cannot make recommendations for practice or policy (as could a clinical practice guideline), but instead identifies areas of consensus for others to use in accomplishing this goal.
Conclusions
Diverse experts with experience in both LM and primary care agreed on the integral role of LM as a foundation of all health care and upon key aspects of LM practice that can be integrated into primary care to achieve optimal outcomes. The goal of this ECS was to raise awareness of the benefits and educate on the unique aspects of LM care to encourage integration into primary care. The benefits of LM care identified by the expert panel include addressing the root causes of most common chronic diseases, decreasing health-related costs, improving clinical outcomes, enhancing patient and clinician satisfaction, beneficial effects for the planet, and supporting health equity for historically marginalized populations.
The consensus statements summarized in Table 12 and listed fully in Tables 2 through 11, can guide primary care clinicians who are interested in implementing LM to enhance their current practice. In addition, they can inform primary care providers and administrators interested in incorporating LM practice in the future on what staffing, facility, schedule, policy, or reimbursement adaptations might be needed to achieve this integration.
Table 12.
Domain | Expert Consensus Statement Summary | Suggestions for Clinicians |
---|---|---|
Integrating into primary care (Table 2) | LM addresses the root causes of most chronic diseases, is essential to primary care, and can improve patient outcomes and satisfaction | Understand how LM complements but does not replace traditional allopathic medicine, and how LM differs from other approaches to medical care (functional, integrative, complementary and alternative) |
Delivery models (Table 3) | Many LM services are feasible in primary care, optimally through a multidisciplinary team led by physicians, NPs, or PAs trained in LM. | Establish teams and use the 5 A’s model (assess, advise, agree, assist, arrange) to engage and empower patients in behavior change through individual counseling (in-person, virtual), shared medical appointments, and convenient non-medical locations a |
Provider education (Table 4) | LM is a foundational component of all health professional training, education, and continuing education to build the skills and knowledge for effective LM delivery in primary care | Build knowledge and understanding of the 6 LM pillars (Table 1) and techniques to facilitate lifestyle behavior change through CME venues and conference participation with a goal of LM board certification |
Evidence-base for LM (Table 5) | LM is informed by an established, and rapidly growing, evidence-base of research showing opportunities to improve health outcomes, reduce health care cost, advance planetary health, and promote health equity | Know that LM is an evidence-based specialty; be aware of the large body of existing literature that supports LM efficacy for disease prevention, treatment, and reversal; remain attentive to new LM research, guidelines, and reviews |
Diagnosis and vital signs (Table 6) | Lifestyle behaviors should be assessed at every patient encounter, ideally with simple, validated screening questions or technologies | Identify and implement pragmatic tools to assess the 6 LM domains (Table 1) to monitor progress in improving health behaviors |
Treatment (Table 7) | Lifestyle modifications are first-line treatments in managing many chronic diseases, including obesity, type 2 diabetes, cardiovascular diseases, and other conditions impacted by lifestyle | Advocate for a predominantly whole food, plant-based eating pattern while addressing the other pillars of LM (Table 1) through assessment, education, intervention, and behavior change; measure LM treatment success with patient-reported outcome measures, biometrics, and laboratory results |
Patient, family, and community involvement; shared decision-making (Table 9) | LM encourages patients to actively participate in their care, with support from family, community, and technology for behavior change and maintenance | Learn how to promote positive patient behavior through coaching support; identify technology to support patient health; refer to community programs for health education and promotion |
Health equity and social determinants (Table 10) | Ensuring that historically marginalized populations have access to LM is a key component of achieving health equity | Recognize that social determinants of health have an impact on behavior choices; make LM recommendations that align with and respect resource availability and cultural background |
CME, continuing medical education; LM, lifestyle medicine.
aNon-medical locations can include schools, neighborhood centers, senior centers, not-for-profit organizations, places of worship, teaching kitchens, and other community venues.
Future research is necessary to study reimbursement models that make LM integration into primary care more universally feasible. Also, research is necessary to better define ITLC and test its effectiveness for chronic disease treatment, to identify when patients should be referred to ITLC programs, and to define the role of LM in addressing the social determinants of health and health equity. Additional study of examples of LM integration into primary care practice will allow us to eventually define an optimal clinic model that can be standardized and embedded in practices nationwide.
CME/CE Article Quiz.
American College of Lifestyle Medicine (ACLM) members can earn FREE CME/CE credit by reading this approved CME/CE article and successfully completing the online CME/CE activity. Non-members can earn CME/CE for $40 per article. Visit lifestylemedicine.org to join the ACLM.
Instructions.
AJLM CME/CE Articles and Quizzes are offered online only through the American College of Lifestyle Medicine and are accessible at lifestylemedicine.org/store. ACLM Members can enroll in the activity, complete the quiz, and earn this CME/CE for free. Non-members will be charged $40 per article.
A Passing score of 80% or higher is required in order to be awarded the CME/CE credit.
Disclaimer
Expert consensus statements are based on the opinions of carefully chosen content experts and provide for informational and educational purposes only. The purpose of the development group is to synthesize information, along with possible conflicting interpretations of the data, into clear and accurate answers to the question of interest. Expert consensus statements may reflect uncertainties, gaps in knowledge, opinions, or minority viewpoints, but through a consensus development process, many of the uncertainties are overcome, a consensual opinion is reached, and statements are formed. Expert consensus statements are not clinical practice guidelines and do not follow the same procedures as clinical practice guidelines. Expert consensus statements do not purport to be a legal standard of care. The responsible clinician, in light of all the circumstances presented by the individual patient, must determine the appropriate treatment, diagnosis, and management. Consideration of expert consensus statements will not ensure successful patient outcomes in every situation. The ACLM emphasizes that these clinical consensus statements should not be deemed to include all proper diagnosis/management/treatment decisions or methods of care or to exclude other treatment decisions or methods of care reasonably directed to obtaining the same results.
Supplemental Material
Supplemental Material for American College of Lifestyle Medicine Expert Consensus Statement: Lifestyle Medicine for Optimal Outcomes in Primary Care by Meagan L. Grega, Jennifer T. Shalz, Richard M. Rosenfeld, Josie H. Bidwell, Jonathan P. Bonnet, David Bowman, Melanie L. Brown, Mollie E. Dwivedi, Ngozi M. Ezinwa, John H. Kelly, Amy R. Mechley, Lawrence A. Miller, Rajiv K. Misquitta, Michael D. Parkinson, Dipak Patel, Padmaja M. Patel, Karen R. Studer, and Micaela Karlsen
Supplemental Material for American College of Lifestyle Medicine Expert Consensus Statement: Lifestyle Medicine for Optimal Outcomes in Primary Care by Meagan L. Grega, Jennifer T. Shalz, Richard M. Rosenfeld, Josie H. Bidwell, Jonathan P. Bonnet, David Bowman, Melanie L. Brown, Mollie E. Dwivedi, Ngozi M. Ezinwa, John H. Kelly, Amy R. Mechley, Lawrence A. Miller, Rajiv K. Misquitta, Michael D. Parkinson, Dipak Patel, Padmaja M. Patel, Karen R. Studer, and Micaela Karlsen
Acknowledgments
ACLM thanks Lorraine C. Nnacheta, DrPH, MPH, for assistance with project management, methodology, meeting facilitation, and manuscript preparation; Kara L. Staffier, MPH for assistance with the Delphi Survey preparation and analysis; and Kelly Cara, MPH for assistance with search strategies and literature reviews. ACLM thanks the Ardmore Institute of Health for funding support.
Author Contributions: Meagan L. Grega (Kellyn Foundation, St. Luke's University Health Network): writer, chair; Jennifer T. Shalz (St. Luke's Health System): writer, assistant chair; Richard M. Rosenfeld (SUNY Downstate Health Science University): writer, methodologist; Josie H. Bidwell (University of Mississippi Medical Center): writer, expert panel member; Jonathan P. Bonnet (VA Palo Alto Health Care, Stanford University School of Medicine): writer, expert panel member; David Bowman (Howard University College of Medicine): writer, expert panel member; Melanie L. Brown (Johns Hopkins School of Medicine): writer, expert panel member; Mollie E. Dwivedi (Washington University Living Well Center): writer, expert panel member; Ngozi M. Ezinwa (Loma Linda University Healthcare): writer, expert panel member; John H. Kelly (Loma Linda University, Lifestyle Health Education Inc.): writer, expert panel member; Amy R. Mechley (University of Cincinnati College of Medicine): writer, expert panel member; Lawrence A. Miller (Medical College of Wisconsin): writer, expert panel member; Rajiv K. Misquitta (The Permanente Medical Group): writer, expert panel member; Michael D. Parkinson (P3 Health (Prevention, Performance, Productivity)): writer, expert panel member; Dipak Patel (Community Health Center, Inc., Connecticut Lifestyle Medicine): Writer, expert panel member; Padmaja M. Patel (Midland Health): writer, expert panel member; Karen R. Studer (Loma Linda University Health), writer, expert panel member; Micaela C. Karlsen, writer, ACLM staff liaison.
The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Richard M. Rosenfeld, MD, MPH, MBA, DipABLM (Methodologist): Director of Guidelines and Quality, ACLM; prior Chief Medical Officer, ABLM. Jonathan P. Bonnet, MD, MPH, FAAFP, FACLM, CAQSM, DipABOM, DipABLM (Panel Member): Consultant to AAFP's Lifestyle Medicine Tool Kit (Ardmore Institute of Health Grant)—Consultant to Emory Lifestyle Medicine and Wellness for Teaching Kitchen (Ardmore Institute of Health Grant)—Co-chair of ACLM Board Review Course—Advisory Board of Forfend Health—ABLM Board Member—Co-author of Lifestyle Medicine Handbook: The Power of Healthy Habits—AJLM CME Question Writer. David Bowman, MD, DipABLM (Panel Member): Board of Directors for ACLM. Amy R. Mechley, MD, FAAFP, FACCLM, Dip ABLM, DipABFM (Panel Member): Investor in Poplar Health-ABLM Board member and ABLM Chair-elect. Rajiv K. Misquitta, MD, FACP, Dipl. ABLM (Panel Member): Co-author of a book on plant-based eating called “Healthy Heart healthy Planet.” Michael D. Parkinson, MD, MPH, FACPM (Panel Member) Advisor to employers, health care organizations, numerous startups and Pivio (formerly CHIP - Complete Health Improvement Program). Padmaja M. Patel, MD, FACLM, DipABLM (Panel Member): Investor in Poplar Health and Nudj Health. Advisory board of member of Nudj Health. Karen R. Studer, MD, MBA, MPH, FACPM, DipABOM, DipABLM, Lifestyle Medicine Intensivist (Panel Member):10% FTE for Lifestyle Medicine Residency Curriculum (LMRC) work, a joint product by (LLUH) and ACLM.
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Ardmore Institute of Health. The funder had no role in topic selection or any aspect of the project. The expert panel members received no financial support for the research, authorship, and/or publication of this article.
Supplemental Material: Supplemental material for this article is available online.
ORCID iDs
Richard M. Rosenfeld https://orcid.org/0000-0002-3557-3795
Jonathan P. Bonnet https://orcid.org/0000-0002-1917-0048
Mollie E. Dwivedi https://orcid.org/0000-0003-1004-187X
Micaela C. Karlsen https://orcid.org/0000-0002-9365-151X
References
- 1.Gunja MZ, Gumas ED, Williams RDUS. Health care from a global perspective, 2022: accelerating spending, worsening outcomes. 2023. Accessed May 2, 2023. [Google Scholar]
- 2.Kane L. Physician Burnout and Depression Report 2022: Stress, Anxiety, and Anger. Medscape; 2022. www.medscape.com/slideshow/2022-lifestyle-burnout-6014664 Accessed 14 February 2023.
- 3.Handzel S. https://www.mdlinx.com/article/why-us-medical-students-are-shunning-primary-care/2JDUr3eZh4MIcLex1XomEE.MDLinx.2023. March 19, 2023.
- 4.Agarwal SD, Pabo E, Rozenblum R, Sherritt KM. Professional dissonance and burnout in primary care. JAMA Intern Med. 2020;180(3):395-401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Clifton J, Bonnell L, Hitt J, et al. Differences in occupational burnout among primary care professionals. J Am Board Fam Med. 2021;34(6):1203-1211. [DOI] [PubMed] [Google Scholar]
- 6.Centers for Medicare and Medicaid Services . Research, statistics, data and systems. National health expenditure data. NHE fact sheet. 2023. https://www.cms.gov/research-statistics-data-and-systems/statistics-trends-and-reports/nationalhealthexpenddata/nhe-fact-sheet. Accessed May 2, 2023.
- 7.Woolf SH, Schoomaker H. Life expectancy and mortality rates in the United States, 1959-2017. JAMA. 2019;322(20):1996-2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Heuveline P. The Covid-19 pandemic and the expansion of the mortality gap between the United States and its European peers. PLoS One. 2023;18(3):e0283153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wilson FP. ‘Excess’ deaths surging, but why? 2023. https://www.mdedge.com/internalmedicine/article/262142/mixed-topics/excess-deaths-surging-why. https://www.mdedge.com/internalmedicine/article/262142/mixed-topics/excess-deaths-surging-why. Accessed May 2, 2023.
- 10.Sagner M, Katz D, Egger G. et al. Lifestyle medicine potential for reversing a world of chronic disease epidemics: from cell to community. Int J Clin Pract. 2014;68(11):1289-1292. [DOI] [PubMed] [Google Scholar]
- 11.Guthrie GE. Lifestyle medicine. Am J Lifestyle Med. 2017;11(2):134-136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Knowler W, Barrett-Connor E, Fowler S, et al. Reduction in the incidence of Type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346:393-403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ornish D, Scherwitz LW, Billings JH, et al. Intensive lifestyle changes for reversal of coronary heart disease. JAMA. 1998;280(23):2001-2007. [DOI] [PubMed] [Google Scholar]
- 14.Centers for Disease Control and Prevention . Health and economic costs of chronic diseases. Updated June 23, 2021. https://www.cdc.gov/chronicdisease/about/costs/index.htm Accessed January 26, 2021.
- 15.Centers for Disease Control and Prevention . National center for health statistics. FastStats - Leading Causes of Death. 2023. https://www.cdc.gov/nchs/fastats/leading-causes-of-death.htm. Accessed May 2, 2023.
- 16.Tsao CW, Aday AW, Almarzooq ZI, et al. Heart disease and stroke statistics-2022 update: a report from the American heart association. Circulation. 2022;145(8):e153-e639. [DOI] [PubMed] [Google Scholar]
- 17.Centers for Disease Control and Prevention . National diabetes statistics report website. https://www.cdc.gov/diabetes/data/statistics-report/index.html Accessed May 2, 2023.
- 18.Centers for Disease Control and Prevention . Adult obesity Facts. 2022. https://www.cdc.gov/obesity/data/adult.html Accessed May 2, 2023.
- 19.Centers for Disease Control and Prevention . National center for health statistics. Obesity and Overweight. 2023. https://www.cdc.gov/nchs/fastats/obesity-overweight.htm Accessed May 2, 2023.
- 20.Sarnak DO, Ryan J. How High-Need Patients Experience the Health Care System in Nine Countries. New York, Washington, D.C: The Commonwealth Fund. 2016. [PubMed] [Google Scholar]
- 21.Eckel RH, Jakicic JM, Ard JD, et al. 2013. 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of cardiology/American heart association task force on practice guidelines. Circulation. 2014;129(25_suppl_2), 76-99. [Google Scholar]
- 22.Whelton PK, Carey RM, Mancia G, Kreutz R, Bundy JD, Williams B. Harmonization of the American College of cardiology/American heart association and European society of cardiology/European society of hypertension blood pressure/hypertension guidelines. Eur Heart J. 2022;43(35):3302-3311. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.ElSayed NA, Aleppo G, Aroda VR, et al. Addendum. 3. Prevention or delay of type 2 diabetes and associated comorbidities: standards of care in diabetes-2023. Diabetes Care. 2023;46(Suppl 1):1716-1717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Keyworth C, Epton T, Goldthorpe J, Calam R, Armitage CJ. Delivering opportunistic behavior change interventions: a systematic review of systematic reviews. Prev Sci. 2020;21(3):319-331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Levy MD, Loy L, Zatz LY. Policy approach to nutrition and physical activity education in health care professional training. Am J Clin Nutr. 2014;99(5 Suppl). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Devries S, Agatston A, Aggarwal M, et al. A deficiency of nutrition education and practice in cardiology. Am J Med. 2017;130(11):1298-1305. [DOI] [PubMed] [Google Scholar]
- 27.Fadnes LT, Økland JM, Haaland OA, Johansson KA. Estimating impact of food choices on life expectancy: a modeling study. PLoS Med. 2022;19(2):e1003889. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hupin D, Roche F, Gremeaux V, et al. Even a low-dose of moderate-to-vigorous physical activity reduces mortality by 22% in adults aged ≥60 years: a systematic review and meta-analysis. Br J Sports Med. 2015;49(19). [DOI] [PubMed] [Google Scholar]
- 29.Liu Y, Lee DC, Li Y, et al. Associations of resistance exercise with cardiovascular disease morbidity and mortality. Med Sci Sports Exerc. 2019;51(3):499-508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Saint-Maurice PF, Troiano RP, Bassett DR, et al. Association of daily step count and step intensity with mortality among US adults. JAMA. 2020;323(12):1151-1160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lloyd-Jones DM, Ning H, Labarthe D, et al. Status of cardiovascular health in US adults and children using the American heart association's new “life’s essential 8” metrics: prevalence estimates from the national health and nutrition examination survey (NHANES), 2013 through 2018. Circulation. 2022;146(11):822-835. [DOI] [PubMed] [Google Scholar]
- 32.Rosenfeld RM, Nnacheta MD, Corrigan MD. Clinical consensus statement development manual. Otolaryngology-Head Neck Surg. 2015;153(2 Suppl):S1-s14. [DOI] [PubMed] [Google Scholar]
- 33.Rosenfeld RM, Kelly JH, Agarwal M, et al. Dietary interventions to treat type 2 diabetes in adults with a goal of remission: an expert consensus statement from the American College of lifestyle medicine. Am J Lifestyle Med. 2022;16(3):342-362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan-a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Cornell S, Gould A, Ellis GR, Kenkre J, Williams EM. Clinician perception of a novel cardiovascular lifestyle prescription form in the primary and secondary care setting in Wales, UK. Health Promot J Aust. 2020;31(2):232-239. [DOI] [PubMed] [Google Scholar]
- 36.Williams MA, Kaminsky LA. Healthy lifestyle medicine in the traditional healthcare environment-primary care and cardiac rehabilitation. Prog Cardiovasc Dis. 2017;59(5):448-454. [DOI] [PubMed] [Google Scholar]
- 37.Maners RJ, Bakow E, Parkinson MD, Fischer GS, Camp GR. UPMC prescription for wellness: a quality improvement case study for supporting patient engagement and health behavior change. Am J Med Qual. 2018;33(3):274-282. [DOI] [PubMed] [Google Scholar]
- 38.Hartzler ML, Shenk M, Williams J, Schoen J, Dunn T, Anderson D. Impact of collaborative shared medical appointments on diabetes outcomes in a family medicine clinic. Diabetes Educat. 2018;44(4):361-372. [DOI] [PubMed] [Google Scholar]
- 39.Sanchez A, Pablo S, Pablo A, Garcia-Alvarez S, Dominguez G, Grandes P. Effectiveness of two procedures for deploying a facilitated collaborative modeling implementation strategy-the PVS-PREDIAPS strategy-to optimize type 2 diabetes prevention in primary care: the PREDIAPS cluster randomized hybrid type II implementation trial. Implement Sci. 2021;16(1):58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Kerse N, Elley CR, Robinson E, Arroll B. Is physical activity counseling effective for older people? A cluster randomized, controlled trial in primary care. J Am Geriatr Soc. 2005;53(11):1951-1956. [DOI] [PubMed] [Google Scholar]
- 41.Kettle VE, Madigan CD, Coombe A. et al. Effectiveness of physical activity interventions delivered or prompted by health professionals in primary care settings: systematic review and meta-analysis of randomised controlled trials. BMJ. 2022;376:e068465. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Sturgiss EA, Douglas K, Res S, Stevenson A, Kathage R. Treating overweight and obese adults in General Practice - a systematic review. Obes Res Clin Pract. 2014;8:97-98. [Google Scholar]
- 43.Fani Marvasti F, Stafford RS. From sick care to health care - reengineering prevention into the U.S. System. N Engl J Med. 2012;367(10):889-891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Sorensen J, Johansson H, Jerdén L, et al. Health-care administrator perspectives on prevention guidelines and healthy lifestyle counseling in a primary care setting in New York state. Health services research and managerial epidemiology. 2019;6:2333392819862122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Satterfield JM, Gregorich SE, Kalkhoran S, et al. Computer-Facilitated 5A's for smoking cessation: a randomized trial of technology to promote provider adherence. Am J Prev Med. 2018;55(1):35-43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Walker R, Ramasamy V, Sturgiss E, Dunbar J, Boyle J. Shared medical appointments for weight loss: a systematic review. Fam Pract. 2022;39(4):710-724. [DOI] [PubMed] [Google Scholar]
- 47.Watts SA, Strauss GJ, Pascuzzi K, et al. Shared medical appointments for patients with diabetes: glycemic reduction in high-risk patients. Journal of the American Association of Nurse Practitioners. 2015;27(8):450-456. [DOI] [PubMed] [Google Scholar]
- 48.Noya CE, Gatewood E, Alkon A, Castillo E, Kuo AC. Shared medical appointments: an academic-community partnership to improve metabolic outcomes among people with type 2 diabetes in the central valley of California. Diabetes. 2019;68. [DOI] [PubMed] [Google Scholar]
- 49.Law T, Jones S, Vardaman S. Implementation of a shared medical appointment as a holistic approach to CHF management. Holist Nurs Pract. 2019;33(6):354-359. [DOI] [PubMed] [Google Scholar]
- 50.Znidarsic J, Kirksey KN, Dombrowski SM. et al. “Living well with chronic pain”: integrative pain management via shared medical appointments. Pain Med. 2021;22(1):181-190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Abbatemarco JR, Cohen JA, Udeh BL, Bassi S, Rensel MR. Multiple sclerosis wellness shared medical appointment model. Int J MS Care. 2021;23(5):229-233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Wadsworth KH, Archibald TG, Payne AE, Cleary AK, Haney BL, Hoverman AS. Shared medical appointments and patient-centered experience: a mixed-methods systematic review. BMC Fam Pract. 2019;20(1):97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Frates B, Kelley J. Lifestyle medicine: intensity of intervention versus intensity of patient response. Am J Lifestyle Med. 2023;17(3):371-373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Rea B, Johnson P, Clayton J, et al. Lifestyle medicine education: essential component of family medicine. J Fam Pract. 2022;71(Suppl 1 Lifestyle):S66-S70. [DOI] [PubMed] [Google Scholar]
- 55.Trilk JL, Worthman S, Shetty P, et al. Undergraduate medical education: lifestyle medicine curriculum implementation standards. Am J Lifestyle Med. 2021;15(5):526-530. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Studer KR, Kesler DO, Mills SL, Badmus OA, Edgar L. Public health and general preventive medicine residency milestones 2.0. Am J Prev Med. 2023;64(5):765-771. [DOI] [PubMed] [Google Scholar]
- 57.Rosenfeld RM. Physician attitudes on the status, value, and future of board certification in lifestyle medicine. Am J Lifestyle Med 2022. https://journals.sagepub.com/doi/abs/10.1177/15598276221131524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Vodovotz Y, Barnard N, Hu FB. et al. Prioritized research for the prevention, treatment, and reversal of chronic disease: recommendations from the lifestyle medicine research Summit. Front Med. 2020;7:585744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Williams KA, Fughhi I, Fugar S. et al. Nutrition intervention for reduction of cardiovascular risk in african Americans using the 2019 American College of cardiology/American heart association primary prevention guidelines. Nutrients. 2021;13(10). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.White ND, Lenz TL, Skrabal MZ, Skradski JJ, Lipari L. Long-term outcomes of a cardiovascular and diabetes risk-reduction program initiated by a self-insured employer. American health & drug benefits. 2018;11(4):177-183. [PMC free article] [PubMed] [Google Scholar]
- 61.Remy C, Shubrook JH, Nakazawa M, Drozek D. Employer-funded Complete health improvement program: preliminary results of biomarker changes. J Osteopath Med. 2017;117(5):293-300. [DOI] [PubMed] [Google Scholar]
- 62.Wright N, Wilson L, Smith M, Duncan B, McHugh P. The BROAD study: a randomised controlled trial using a whole food plant-based diet in the community for obesity, ischaemic heart disease or diabetes. Nutr Diabetes. 2017;7(3). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Shurney D, Hyde S, Hulsey K, et al. CHIP lifestyle program at Vanderbilt University demonstrates an early ROI for a diabetic cohort in a workplace setting: a case study. Journal of Managed Care Medicine. 2012;15(4):5-10. [Google Scholar]
- 64.Parkinson MD, Peele PB, Keyser DJ, Liu Y, Doyle S. UPMC MyHealth. Am J Prev Med. 2014;47(4):403-410. [DOI] [PubMed] [Google Scholar]
- 65.Cassoobhoy A, Sardana JJ, Benigas S, Tips J, Kees A. Building health equity: action steps from the American College of lifestyle medicine’s health disparities solutions Summit (HDSS) 2020. Am J Lifestyle Med. 2022;16(1):61-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Krishnaswami J, Sardana J, Daxini A. Community-engaged lifestyle medicine as a framework for health equity: principles for lifestyle medicine in low-resource settings. Am J Lifestyle Med. 2019;13(5):443-450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Parkinson MD, Hammonds T, Keyser DJ, Wheeler JR, Peele PB. Impact of physician referral to health coaching on patient engagement and health risks: an observational study of UPMC's prescription for wellness. Am J Health Promot. 2020;34(4):366-375. [DOI] [PubMed] [Google Scholar]
- 68.Willett W, Rockström J, Loken B. et al. Food in the Anthropocene: the EAT-Lancet Commission on healthy diets from sustainable food systems. Lancet. 2019;393(10170):447-492. [DOI] [PubMed] [Google Scholar]
- 69.Coleman KJ, Ngor E, Reynolds K. et al. Initial validation of an exercise “vital sign” in electronic medical records. Med Sci Sports Exerc. 2012;44(11):2071-2076. [DOI] [PubMed] [Google Scholar]
- 70.Maddison R, Ni Mhurchu C, Jiang Y. et al. International physical activity questionnaire (IPAQ) and New Zealand physical activity questionnaire (NZPAQ): a doubly labelled water validation. Int J Behav Nutr Phys Activ. 2007;4:62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Snyder E, Cai B, DeMuro C, Morrison MF, Ball W. A new single-item sleep quality scale: results of psychometric evaluation in patients with chronic primary insomnia and depression. J Clin Sleep Med. 2018;14(11):1849-1857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52(1):30-41. [DOI] [PubMed] [Google Scholar]
- 73.Sarason IG, Sarason BR, Shearin EN, Pierce GR. A brief measure of social support: practical and theoretical implications. J Soc Pers Relat. 1987;4(4):497-510. [Google Scholar]
- 74.National Institute on Drug Abuse . Resource guide: screening for drug use in general medical settings. nida.nih.gov. 2012. https://archives.drugabuse.gov/publications/resource-guide-screening-drug-use-in-general-medical-settings. Accessed February 12, 2021.
- 75.Frates B, Bonnet JP, Joseph R, Peterson JA. Lifestyle Medicine Handbook: An Introduction to the Power of Healthy Habits. Cambridge, MA: Healthy Learning; 2019. [Google Scholar]
- 76.Arnett DK, Blumenthal RS, Albert MA. et al. 2019. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: executive summary: a report of the American College of cardiology/American heart association Task Force on Clinical practice guidelines. J Am Coll Cardiol. 2019;74(11):1376-1414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Jensen M, Ryan D, Donato KA. Guidelines (2013) for managing overweight and obesity in adults. Preface to the Expert Panel Report (comprehensive version which includes systematic evidence review, evidence statements, and recommendations). Obesity. 2014;22(Suppl 2):S40-S410. [DOI] [PubMed] [Google Scholar]
- 78.Egger GJ, Binns AF, Rossner SR. The emergence of “lifestyle medicine” as a structured approach for management of chronic disease. Med J Aust. 2009;190(3):143-145. [DOI] [PubMed] [Google Scholar]
- 79.Karlsen MC, Pollard KJ. Strategies for practitioners to support patients in plant-based eating. J Geriatr Cardiol: JGC. 2017;14(5):338-341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Trickett KH, Matiaco PM, Jones K, Howlett B, Early KB. Effectiveness of shared medical appointments targeting the triple aim among patients with overweight, obesity, or diabetes. J Osteopath Med. 2016;116(12):780-787. [DOI] [PubMed] [Google Scholar]
- 81.Audsley S, Orton E, Maula A, Lam Z, Kendrick D, Logan P. What intervention components work best to maintain physical activity in older people? A systematic review. Physiotherapy. 2019;105:e56-e57. [Google Scholar]
- 82.Conn S, Curtain S. Health coaching as a lifestyle medicine process in primary care. Aust J Gen Pract. 2019;48(10):677-680. [DOI] [PubMed] [Google Scholar]
- 83.Richardson CR, Schwenk TL. Helping sedentary patients become more active: a practical guide for the primary care physician. J Clin Outcome Manag. 2007;14(3):161-170. [Google Scholar]
- 84.Amer OE, Sabico S, Alfawaz HA, et al. Reversal of prediabetes in Saudi adults: results from an 18 Month lifestyle intervention. Nutrients. 2020;12(3). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Diabetes Prevention Program Outcomes Study Research G. Orchard TJ, Temprosa M, et al. Long-term effects of the diabetes prevention program interventions on cardiovascular risk factors: a report from the DPP Outcomes Study. Diabet Med : A Journal of the British Diabetic Association. 2013;30(1):46-55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Barnard ND, Cohen J, Jenkins DJ, et al. A low-fat vegan diet and a conventional diabetes diet in the treatment of type 2 diabetes: a randomized, controlled, 74-wk clinical trial. Am J Clin Nutr. 2009;89(5):1588s-1596s. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.The Diabetes Prevention Program (DPP) . The Diabetes Prevention Program (DPP): description of lifestyle intervention. Diabetes Care. 2002;25:2165-2171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Shurney D, Hyde S, Hulsey K, Elam R, Cooper A, Groves J. CHIP lifestyle program at Vanderbilt University demonstrates an early ROI for a diabetic cohort in a workplace setting: a case study. Journal Manag Care Med. 2012;15(4):5-15. [Google Scholar]
- 89.Ornish D. Avoiding revascularization with lifestyle changes: the multicenter lifestyle demonstration project. Am J Cardiol. 1998;82(10b):72t-76t. [DOI] [PubMed] [Google Scholar]
- 90.Jensen LL, Drozek DS, Grega ML, Gobble J. Lifestyle medicine: successful reimbursement methods and practice models. Am J Lifestyle Med. 2018;13(3):246-252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Freeman KJ, Grega ML, Friedman SM. et al. Lifestyle medicine reimbursement: a proposal for policy priorities informed by a cross-sectional survey of lifestyle medicine practitioners. Int J Environ Res Publ Health. 2021;18(21). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Gobble J, Donohue D, Grega M. Reimbursement as a catalyst for advancing lifestyle medicine practices. J Fam Pract. 2022;71(Suppl 1 Lifestyle):eS105-eS109. [DOI] [PubMed] [Google Scholar]
- 93.Clarke CA, Frates J, Pegg Frates E. Optimizing lifestyle medicine health care delivery through enhanced interdisciplinary education. Am J Lifestyle Med. 2016;10(6):401-405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Mechley AR, Dysinger W. Intensive therapeutic lifestyle change programs. Am J Lifestyle Med. 2015;9(5):354-360. [Google Scholar]
- 95.Baban KA, Morton DP. Lifestyle medicine and stress management. J Fam Pract. 2022;71(Suppl 1 Lifestyle):S24-S29. [DOI] [PubMed] [Google Scholar]
- 96.Simmavong PK, Hillier LM, Petrella RJ. Lessons learned in the implementation of HealtheSteps: an evidence-based healthy lifestyle program. Health Promot Pract. 2019;20(2):300-310. [DOI] [PubMed] [Google Scholar]
- 97.Shah MK, Naing S, Kurra N. et al. A culturally adapted, social support-based, diabetes group visit model for Bangladeshi adults in the USA: a feasibility study. Pilot and Feasibility Studies. 2022;8(1):18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Kuwabara A, Su S, Krauss J. Utilizing digital health technologies for patient education in lifestyle medicine. Am J Lifestyle Med. 2019;14(2):137-142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Brennan Ramirez LK, Baker EA, Metzler M. Promoting Health Equity: A Resource to Help Communities Address Social Determinants of Health. Atlanta: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; 2008. https://stacks.cdc.gov/view/cdc/11130. [Google Scholar]
- 100.Braveman P, Gruskin S. Defining equity in health. J Epidemiol Community. 2003;57(4):254-258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Trent M, Dooley DG, Dougé J. The impact of racism on child and adolescent health. Pediatrics. 2019;144(2). [DOI] [PubMed] [Google Scholar]
- 102.Kelly JF. Building a more equitable society: psychology's role in achieving health equity. Am Psychol. 2022;77(5):633-645. [DOI] [PubMed] [Google Scholar]
- 103.Gnadinger T. Health Policy Brief: The Relative Contribution of Multiple Determinants to Health Outcomes. Health Affairs Policy Brief. https://www.healthaffairs.org/do/10.1377/hpb20140821.404487/full/ (2014). [Google Scholar]
- 104.U.S. Department of Health and Human Services . Theory at a Glance: A Guide for Health Promotion Practice. 2nd ed.. Washington DC: US Department of Health and Human Services; 2018. [Google Scholar]
- 105.Sundquist J, Hagströmer M, Johansson SE, Sundquist K. Effect of a primary health-care-based controlled trial for cardiorespiratory fitness in refugee women. BMC Fam Pract. 2010;11:55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Goddu AP, Roberson TS, Raffel KE, Chin MH, Peek ME. Food Rx: a community-university partnership to prescribe healthy eating on the South Side of Chicago. J Prev Interv Community. 2015;43(2):148-162. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplemental Material for American College of Lifestyle Medicine Expert Consensus Statement: Lifestyle Medicine for Optimal Outcomes in Primary Care by Meagan L. Grega, Jennifer T. Shalz, Richard M. Rosenfeld, Josie H. Bidwell, Jonathan P. Bonnet, David Bowman, Melanie L. Brown, Mollie E. Dwivedi, Ngozi M. Ezinwa, John H. Kelly, Amy R. Mechley, Lawrence A. Miller, Rajiv K. Misquitta, Michael D. Parkinson, Dipak Patel, Padmaja M. Patel, Karen R. Studer, and Micaela Karlsen
Supplemental Material for American College of Lifestyle Medicine Expert Consensus Statement: Lifestyle Medicine for Optimal Outcomes in Primary Care by Meagan L. Grega, Jennifer T. Shalz, Richard M. Rosenfeld, Josie H. Bidwell, Jonathan P. Bonnet, David Bowman, Melanie L. Brown, Mollie E. Dwivedi, Ngozi M. Ezinwa, John H. Kelly, Amy R. Mechley, Lawrence A. Miller, Rajiv K. Misquitta, Michael D. Parkinson, Dipak Patel, Padmaja M. Patel, Karen R. Studer, and Micaela Karlsen