Summary
Effective patient-provider communication, although acknowledged as a key clinical skill and linked to better outcomes for patients, providers, and society as a whole, is not a primary focus of many medical schools’ curricula. Motivational Interviewing, or MI, is a patient-centered, directive communication framework appropriate for the health care setting with an ever growing empirical evidence base. Research on MI’s causal mechanisms has previously established patient change talk (motivational statements about behavior change) to be a mediator of behavior change. Current MI research is focused on identifying which provider communication skills are responsible for evoking change talk. MI recommends three core communication skills – informing, asking, and listening. A consistent evidence base is emerging for providers’ use of reflections (an active listening strategy). Our research provides evidence that asking for and reflecting patient change talk are effective communication strategies, but cautions providers to inform judiciously. In addition, our research indicates that supporting a patient's decision making autonomy is an important strategy to promote health behaviors.
Keywords: patient-provider communication, Motivational Interviewing, adolescents, obesity
Introduction
The primary treatment strategy health care providers use when treating patients is communication. Providers engage their patients in conversations to understand their medical history, illness experiences, and to formulate treatment recommendations. These conversations fulfill task-oriented (e.g., exchanging information, facilitating patient comprehension of medical information, engaging in informed and collaborative decision-making, enabling patient self-management) and socio-emotional functions (e.g., fostering an interpersonal, healing relationship, responding to and regulating patients’ emotions, managing uncertainty).1–3
Benefits of Patient-Provider Communication
The benefits of effective patient-provider communication and its relationship to medical care outcomes have long been highlighted in the chronic illness literature.2, 4–10 Better patient-provider communication is linked to patient satisfaction with medical care and medical care providers.3, 11 Patient satisfaction is critical because it is an indicator of how well the provider is meeting patients’ health care needs, expectations, and preferences.3 Multiple research studies have positively linked patient-provider communication to patient adherence to treatment recommendations and better medical outcomes.5, 12–19 Actively involving patients in their medical care affects adherence to treatment recommendations directly and through improved comprehension, understanding, and negotiation of treatment recommendations.20
Effective patient-provider communication not only leads to a better medical care experience and improved outcomes for patients, but benefits also extend to providers and society. Improvement in provider communication skills is associated with greater satisfaction with patient interactions,21 increased self-confidence for treating “difficult” patients,22 and decreased malpractice claims.23 Improved patient-provider communication may also pose benefits society as a whole through decrease health care costs24
Patient-Provider Communication in Pediatrics
Patient-provider communication in the pediatric health care setting differs dramatically from adult patient-provider communication in that the patient is a child and the responsible party is the child's caregiver. This presents a dilemma for the provider - with whom should the provider communicate, the caregiver or patient? Research suggests that providers spend more time communicating with caregivers than with their pediatric patients. Specifically, pediatric patients, regardless of age, are typically engaged in a less than 20% of the communication in a typical medical care visit.25, 26 When pediatric patients are engaged in the conversation, they are generally included in social aspects and the provision of medical history with the treatment decision-making typically completed by the provider and caregiver.27, 28 When providers attempt to increase pediatric patients’ participation, caregivers often disrupt this effort by interrupting and responding to questions and statements directed to the patient rather than supporting and encouraging the patient's active involvement.27, 29 This dynamic may have unintended consequences. Pediatric patients, particularly adolescents, report feeling marginalized when they are excluded from conversations about their own health30 which may lead to disengagement and disinterest in their own health care.
Direct communication with pediatric patients, on the other hand, builds trust and rapport,31, 32 helps socialize children into the patient role,29, 33 and, in the adult literature, has been identified as a primary mechanism for patient adherence to behavioral recommendations.12, 17 With the top four causes of early mortality - cardiovascular disease, cancer, respiratory disease, and stroke - tied to modifiable behaviors such as poor diet and lack of physical activity,34 there is a critical need for providers to communicate with their patients to change their behavior in these areas. Pediatricians, in particular, play a critical role in identifying children who are at risk for obesity and these life-threatening diseases and to encourage these children and their families to change their unhealthy dietary and activity patterns early, before the detrimental effects of unhealthy behavior patterns begin to unfold.35
The Skill of Communicating Well
The National Academy of Medicine (formerly, the Institute of Medicine) recognizes patient-provider communication as a key clinical skill36 as does the international medical community,37, 38 medical schools,39–41 and professional medical organizations.42, 43 While these organizations offer recommendations regarding the qualities of effective PPC, few offer concrete guidelines for how to effectively communicate. This poses a dilemma for the provider because patient-provider communication skills are not innate. Like any other skill, effective patient-provider communication must be systematically learned and repeatedly practiced.44–46
Motivational Interviewing, a Framework for Patient-Provider Communication
Motivational Interviewing (or MI) is an empirically-supported approach to patient-provider communication that is characterized as “a therapeutic conversation that employs a guiding style of communication geared toward enhancing behavior change and improving health status” (Douaihy, Kelly, Gold, p. 2)47. The goal of MI is to increase patients’ intrinsic motivation and self-efficacy for engaging in health promoting behaviors.48 Intrinsic motivation, engaging in an activity for reasons of personal interest or satisfaction rather than external consequences, has been linked to positive outcomes across multiple domains.49 MI was originally developed to treat adults in substance abuse treatment;50, 51 thus, there is a strong evidence base for its efficacy in that domain.52 Since its inception, MI has been adapted for multiple behavior change targets, including health care behaviors such as cancer-related fatigue,53 medication adherence in HIV,54–56 diabetes management,57–59 and weight loss.60–62 Of particular relevance, physician use of MI has been linked to weight loss among adults63 and children64, 65 who are overweight/obese and is a recommended approach for pediatric obesity.66
MI has a highly specified framework that is both patient-centered and directive, making it an ideal approach for health care providers.47, 67 The principles of MI, including providing empathy, collaborating with clients, and supporting client autonomy, are elements of patient-centered care.1 MI emphasizes patients’ decision-making autonomy, which is the tenet of Self-Determination Theory68, 69 and empirically linked to increased adherence to medical recommendations,70 particularly when treating adolescents.71 In health care, autonomy-supportive environments are those where providers elicit patient perspectives, provide information and opportunities for choice, and encourage patient responsibility.72 These characteristics are implicit in MI’s core communication skills – informing, asking, and listening.47 Furthermore, MI is consistent with consensus recommendations for working with clients from different cultures in obesity treatment.73 Two meta-analyses have indicated that MI was more effective with blacks compared with whites,50, 74 suggesting it may be a relevant framework for patient-provider communication in populations affected by health disparities.
Motivational Interviewing’s Causal Mechanisms
MI can be broken down into technical and relational components.75 The relational component of MI refers to the ability of the provider to understand the patient’s perspective and to convey that understanding in a positive, empathetic manner. These elements are referred to as the “Spirit of MI”. While these components are important for relationship building, they do not fully account for MI’s efficacy at evoking behavior change.52 The technical component of MI is the specific communication techniques that providers use during MI sessions to elicit and reinforce patients’ motivational statements about changing their behavior, i.e., “change talk”. Patient change talk statements during clinical encounters consistently predict actual patient behavior change (see Box 1).52 In fact, one study with substance abusers found that patients’ change talk predicted marijuana use 34 months later.76
Box 1. What is “Change Talk”?
Change talk is patients’ own statements about their own desire, ability, reason, and need to change their unhealthy behavior. The following statements are examples of patient change talk related to weight loss:
Desire: I want to lose weight.
Ability: I know how to read a food label.
Reason: I do not want to get diabetes!
Need: I need to be a role model for my child.
-
Commitment Language is a special class of change talk that describes patients’ intentions and plans for enacting behavior change. Commitment Language is more closely linked to behavior change than change talk.
Next time I go to the grocery store, I will not buy junk food.
Given the importance of change talk to patient outcomes, a primary focus of current MI research is identifying the specific provider communication behaviors that predict change talk and patient outcomes. Studies of MI provider communication behavior have confirmed that communication techniques consistent with the MI framework (i.e., MICO, illustrated in Table 1) are associated with increased patient change talk54, 77, 78 and improved patient outcomes.79 However, a methodological limitation of many studies is the reliance on frequency counts of communication behaviors and correlational analytic techniques which limit causal inference. In other words, just because higher rates of providers use MICO communication techniques is correlated with better patient outcomes does not provide sufficient evidence to prove that MICO leads to outcomes.
Table 1. MI-Consistent Communication (MICO) Techniques.
MICO techniques are provider communication strategies specifically designed to elicit patient change talk statements. They embody the underlying spirit of MI to support patients’ exploration of behavior change.
MICO Technique |
Description | Example |
---|---|---|
Advise with Permission | Offering advice, solutions, suggestions, or courses of action collaboratively (i.e., in response to a patient’s request, asking permission) | Would it be okay with you if I explained what your healthy weight loss would be? |
Affirm | Positive or complimentary statements that express appreciation, confidence, or reinforce the patient’s strengths or efforts. | It took a lot of willpower to refuse cake at a birthday party, good for you! |
Emphasize Control | Statements that directly acknowledge, honor, or emphasize the patient’s freedom of choice, autonomy, personal responsibility | This is your treatment and you get to choose how it goes. |
Open Question | Questions phrased to encourage patients to expand upon their perspective, thoughts, emotions, and concerns | How has your weight affected your life? |
Reflections | Simple: repeating back patients’ own statements Complex: repeating back patients’ own statements, but adding to the underlying meaning or emotion |
You want to lose weight, but you’re not sure how to get started. You’re worried you might not lose weight even if you change your eating. |
Reframe | Suggesting a different meaning, explanation, or perspective for a situation a patient has described | Asking about your exercise plans might be your mother’s way of showing your she’s interested and cares about your weight loss goals. |
Support | Statements that convey genuine support or understanding | That must have been difficult for you. |
Sequential analysis
Sequential analysis80, 81 is a statistical technique to analyze the temporal sequence of patient-provider communication and, thereby, generate evidence for the temporal precedence of provider→patient exchanges, which is a step toward establishing causality (see Box 2 for an illustration). Moyers & Martin were the first to use sequential analysis to demonstrate that providers’ use of communication techniques consistent with the MI framework (MICO) was more likely to elicit patient change talk (CT) than MI-inconsistent communication techniques.82
Box 2. Sequential Analysis.
In sequential analysis, the data are organized into a contingency table with the antecedent behavior in rows and the corresponding response behaviors in column. The cells of the table represent the transitions between antecedents and responses for a given time interval (i.e., the lag). Each transition has a conditional probability that describes the extent to which the transition is more or less probable than expected by chance.
Responses (t2) → Antecedents (t1) ↓ |
Adolescent Response Statement 1 |
Adolescent Response Statement 2 |
---|---|---|
Counselor Communication Behavior 1 | Transition Probability 11 | Transition Probability 12 |
Counselor Communication Behavior 2 | Transition Probability 21 | Transition Probability 22 |
Subsequent studies have confirmed the MICO→CT link83–85 and spurred researchers to dig deeper to investigate which of the MICO communication techniques, specifically, are responsible for eliciting CT. To date, three studies have identified providers’ use of reflections as the critical MICO communication technique, i.e., empirically linked reflections to patient change talk.79, 86, 87 In one of these studies, other MICO techniques, including asking open-ended questions and an index composed of affirmations, emphasizing the patient’s control, reframing, and support actually decreased the likelihood of eliciting patient change talk.86 An important consideration of these studies are that two of the three were conducted with predominantly White, adult patients who abuse substances. The third included minority adolescents, but was still within the substance abuse context. Our research group has begun to investigate the relationship between provider communication techniques and patient change talk in pediatric obesity.
Effective Provider Communication with Minority Families in Pediatric Obesity
Our research group recently developed the Minority Youth Sequential Code of Process Exchanges, or MY-SCOPE,88 to study communication in MI sessions with minority adolescents and their caregivers in weight loss sessions. The MY-SCOPE is an adaptation of the SCOPE89 and MISC90, the code schemes used in the previous studies of MI’s causal mechanism, specifically for minority adolescents and their caregivers. Adaptations included culturally relevant examples of adolescent and caregiver language, examples of adolescent and caregiver language specific to weight loss target behaviors (i.e., healthy nutritional changes, increased physical activity), and codes for provider communication behaviors not described in the MISC or SCOPE, such as eliciting feedback.
We used the MY-SCOPE to code 37 MI weight loss sessions with minority families to identify the provider communication techniques most effective at eliciting change talk.88, 91 Because commitment language is more closely linked to actual behavior change than other types of change talk,92 we examined change talk and commitment language as two separate categories. Our research identified three provider communication strategies more likely than other communication techniques to elicit change talk and commitment language amongst both minority adolescents and their caregivers engaged in weight loss treatment:
-
Statements emphasizing autonomy were more likely to elicit both adolescents’ and caregivers’ change talk and commitment language.
If you are not ready to cut out sweets, we can find another area to focus on.
You made that choice.
You’re the one who knows yourself best. What do you want to focus on?
-
Open-ended questions were more likely to elicit adolescent and caregiver change talk and commitment language when specifically phrased to elicit change talk or commitment language.
In what ways has your weight been a problem for you?
What concerns do you have about your health?
What kinds of activity have you done this week?
-
Counselors’ reflections of adolescent commitment language were more likely to elicit commitment language in response. In conversations with caregivers, change talk and commitment language were more likely to occur after the provider reflected a caregiver’s previous change talk or commitment language statement.
You are worried that your weight is going to affect your health.
You want to be healthier.
Okay, so one thing you will try is eating a small meal at regular times, versus waiting until you are starving and overeat.
Recommendation: Reflect Patients’ Change Talk
Our finding suggesting that providers’ use of reflections was a critical communication technique in eliciting patient change talk and commitment language is in sync with the three previous studies of communication exchanges among adults who abuse substances.79, 86, 87 Reflections are a critical component of MI because they not only convey that the provider is listening to what the patient has to say, but that the provider is making a genuine effort to understand the patient’s experiences, feelings, and meaning.47 MI recommendations suggest that providers spend twice as much time using reflections than asking questions and, when reflecting, to go beyond simply repeating back what patients are saying to increase the complexity of their reflections to summarize their understanding of the patient’s experience, which conveys deeper understanding and greater empathy.47
Recommendation: Emphasize Patients’ Decision-Making Autonomy
Emphasizing the patient and caregiver’s autonomy was not only more likely to elicit both change talk and commitment language in our sample, this communication technique was also less likely to elicit sustain talk (statements about why the patient or caregiver should maintain their current behavior, i.e., the “status quo”47). This finding is supported by Self-Determination Theory (SDT)68 which posits that all individuals have an innate need to experience one’s behavior as self-regulated and self-endorsed.69 SDT has explained exercise participation among teens93 and African American adolescents specifically94 and, recently, it has been suggested that MI is the primary intervention method of SDT.47 The need for autonomy is particularly relevant among adolescents who are actively engaged in the developmental task of becoming independent.95 When providers use language that honors the adolescent patient’s autonomy, rather than feeling marginalized and excluded from their own health care,30 their motivation for participation appears to be activated.
Use Caution: Providing Information May Not Always Be Necessary
Although providing information is one of the three core communication skills– informing, asking, and listening – MI recommends for the health care setting,47 our research suggested providers use caution when providing patients with health related information. Even when providers used patient-centered communication techniques, such as asking permission, using the third person, and offering a menu of options, information provision resulted in decreased adolescent and caregiver change talk, decreased adolescent commitment language, and increased in “other” types adolescent and caregiver speech. It may be that in our weight loss intervention for adolescents with obesity, families already had sufficient knowledge of weight loss and previous experience with attempting to lose weight that providing weight loss information was counter-productive. In fact, in our adolescent analyses, provider information statements were followed by “other” patient statement of which 30% were patient recollections of past behavior.88 These recollections included rehashing past, failed attempts to lose weight rather than focusing on their present motivation for weight loss. To avoid such counterproductive discussions, we suggest providers carefully elicit and consider the patient’s current knowledge and experience before providing information related to changing health behaviors.
Future Directions
Patient-Provider Communication in Triadic Encounters
Our research group is currently adapting the MY-SCOPE for triadic communication, that is, encounters in which there are three participants: the adolescent patient, his/her caregiver, and the provider. Triadic interactions are characteristic of pediatric health care visits and, therefore, of paramount interest. Our goal is to understand if the provider behaviors that evoke adolescent patient and caregiver change talk and commitment language in triadic MI sessions are similar to those in traditional, dyadic MI sessions. To this end, we have successfully adapted the MY-SCOPE for the triadic encounter (i.e., MY-SCOPE3) and coding is underway. To date, our coders have coded 40 triadic MI weight loss sessions with African American adolescents and their primary caregivers. Nine have been co-coded for inter-rater reliability, which is acceptable (κ = .613).96 Results from this work are forthcoming.
Accelerating Communication Science with Computer Science
Computational technology has developed rapidly in the past decade with topic and classification models offering an efficient alternative to traditional, resource-intensive, qualitative text analysis. Topic modeling is a data mining technique in which a computer algorithm uses a probabilistic model to identify topics (i.e., themes) based on word probability distributions.97–99 Our research group has been experimenting with these models as an alternative approach to behavior coding, such as the MY-SCOPE. As a preliminary test of these models, we analyzed the patient language in the 37 transcribed audio-recordings from the MY-SCOPE study. In supervised classification modeling, a small, existing coded data set is used to train a computer algorithm to recognize different behaviors based on the speech patterns patients use. Once trained to an acceptable level of reliability, the trained classifiers are used to label (i.e., code) new data.100 Thus, a subset of the transcripts previously coded with the MY-SCOPE were analyzed with several classification model algorithms (Naïve Bayes,101 Support Vector Machines,102 and Conditional Random Fields103). All classifiers demonstrated promising results but the Support Vector Machine model performed best, correctly classifying 55.4% of adolescent speaking turns.104 We are optimistic that with refinement these approaches will offer efficient alternatives to labor intensive traditional qualitative coding and, thereby, accelerate the pace of outcomes-oriented communication research.
Summary
Patient-provider communication, although acknowledged as a key clinical skill and linked to better outcomes for patients, providers, and society as a whole, is not a primarily focus of many medical schools’ curricula. Motivational Interviewing, or MI, is a patient-centered, directive communication framework appropriate for the health care setting with an ever growing empirical evidence base. Research on MI’s causal mechanisms has previously established patient change talk (motivational statements about behavior change) to be a mediator of behavior change. Current MI research is focused on identifying which provider communication skills are responsible for evoking change talk. MI recommends three core communication skills – informing, asking, and listening. A consistent evidence base is emerging for providers’ use of reflections (an active listening strategy). Our research provides evidence linking asking to patient change talk but cautions providers to provide information judiciously.
Key Points.
Patient-provider communication is a key clinical skill linked to better patient satisfaction and improved outcomes for both patients and providers.
Motivational Interviewing is a patient-centered, yet directive method of communication suitable for most clinical encounters.
Emphasizing patients’ behavior change autonomy is important when working on health related behavior change, particularly for adolescents who are actively engaged in the developmental task of becoming independent and seek out opportunities to make their own life choices.
Providers integrating Motivational Interviewing communication skills into their practice are encouraged to ask open-ended questions specifically phrased to elicit patient change talk about the targeted behavior and to reflect patients’ own change talk back to reinforce their existing motivation for enacting behavior change, but should carefully consider patients’ current knowledge and experience before dispensing information related to the recommended behavior.
Acknowledgments
This research was funded by NHLBI (1U01HL097889-01 Naar-King & Jen, PIs), the Karmanos Cancer Institute Behavioral and Field Research Core (P30CAP30CA022453-23 Bepler, PI), and NIDDK (R21DK100760 Idalski Carcone, PI).
Footnotes
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Contributor Information
April Idalski Carcone, Department of Family Medicine and Public Health, Wayne State University School of Medicine, 6135 Woodward, iBio #1120, Detroit, MI 48202, 313-577-1057 (phone), 313-972-8024 (fax), acarcone@med.wayne.edu.
Angela J. Jacques-Tiura, Department of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, 6135 Woodward, iBio #2120, Detroit, MI 48202, 313-577-6584 (phone), 313-972-8024 (fax), atiura@med.wayne.edu.
Kathryn E. Brogan Hartlieb, Department of Dietetics and Nutrition, Robert Stempel College of Public Health & Social Work, Florida International University, 11200 SW 8th Street, AHC5 323, Miami, Florida, USA, 305-348-3252 (phone), 305-348-7782 (fax), hartlieb@fiu.edu.
Terrance Albrecht, Department of Oncology, Wayne State University-Karmanos Cancer Institute,, 4100 John R, Mailcode MM03CB, Detroit, MI 48201; 576-8262 (phone), albrecht@karmanos.org.
Tim Martin, Department of Psychology, Kennesaw State University, Social Sciences (SO 402), Room 4011A, Kennesaw, Georgia, USA, 470-578-2903 (phone), 470-578-9146 (fax), tmarti61@kennesaw.edu.
References
- 1.Epstein R, Street RL. National Cancer Institute, US Department of Health and Human Services, National Institutes of Health; 2007. Patient-centered communication in cancer care: promoting healing and reducing suffering. [Google Scholar]
- 2.Ong LML, de Haes JCJM, Hoos AM, et al. Doctor-patient communication: A review of the literature. Social Science & Medicine. 1995;40(7):903–918. doi: 10.1016/0277-9536(94)00155-m. [DOI] [PubMed] [Google Scholar]
- 3.Bredart A, Bouleuc C, Dolbeault S. Doctor-patient communication and satisfaction with care in oncology. Curr Opin Oncol. 2005;17(4):351–354. doi: 10.1097/01.cco.0000167734.26454.30. [DOI] [PubMed] [Google Scholar]
- 4.Trummer UF, Mueller UO, Nowak P, et al. Does physician-patient communication that aims at empowering patients improve clinical outcome? A case study. Patient Education and Counseling. 2006;61(2):299. doi: 10.1016/j.pec.2005.04.009. [DOI] [PubMed] [Google Scholar]
- 5.Street RL, Piziak VK, Carpenter WS, et al. Provider-patient communication and metabolic control. Diabetes Care. 1993;16(5):714–721. doi: 10.2337/diacare.16.5.714. [DOI] [PubMed] [Google Scholar]
- 6.Stewart J. Improving the Health Care Value Equation: Access, the Care Experience and Resource Management. The Permanente Journal. 2000;4(1) [Google Scholar]
- 7.Kaplan SH, Greenfield S, Ware JE., Jr Assessing the effects of physician-patient interactions on the outcomes of chronic disease. Medical Care. 1989:110–127. doi: 10.1097/00005650-198903001-00010. [DOI] [PubMed] [Google Scholar]
- 8.Jahng KH, Martin LR, Golin CE, et al. Preferences for medical collaboration: patient-physician congruence and patient outcomes. Patient Education and Counseling. 2005 doi: 10.1016/j.pec.2004.08.006. [DOI] [PubMed] [Google Scholar]
- 9.Henman M, Butow P, Boyle F, et al. Lay constructions of decision-making in cancer. Psycho-Oncology. 2002;11(4):295–306. doi: 10.1002/pon.566. [DOI] [PubMed] [Google Scholar]
- 10.Street RL, Jr, Gordon H, Haidet P. Physicians' communication and perceptions of patients: Is it how they look, how they talk, or is it just the doctor? Social Science & Medicine. 2007;65(3):586–598. doi: 10.1016/j.socscimed.2007.03.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Stein T, Frankel RM, Krupat E. Enhancing clinician communication skills in a large healthcare organization: A longitudinal case study. Patient Education and Counseling. 2005;58(1):4–12. doi: 10.1016/j.pec.2005.01.014. [DOI] [PubMed] [Google Scholar]
- 12.Heisler M, Bouknight RR, Hayward RA, et al. The Relative Importance of Physician Communication, Participatory Decision Making, and Patient Understanding in Diabetes Self-management. Journal of General Internal Medicine. 2002;17(4):243–252. doi: 10.1046/j.1525-1497.2002.10905.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Schillinger D, Piette JD, Grumbach K, et al. Closing the loop: Physician communication with diabetic patients who have low health literacy. Archives of Internal Medicine. 2003;163(1):83–90. doi: 10.1001/archinte.163.1.83. [DOI] [PubMed] [Google Scholar]
- 14.Piette JD, Schillinger D, Potter MB, et al. Dimensions of Patient-provider Communication and Diabetes Self-care in an Ethnically Diverse Population. Journal of General Internal Medicine. 2003;18(8):624–633. doi: 10.1046/j.1525-1497.2003.31968.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Maddigan SL, Majumdar SR, Johnson JA. Understanding the Complex Associations between Patient-Provider Relationships, Self-Care Behaviours, and Health-Related Quality of Life in Type 2 Diabetes: A Structural Equation Modeling Approach. Quality of Life Research. 2005;14(6):1489–1500. doi: 10.1007/s11136-005-0586-z. [DOI] [PubMed] [Google Scholar]
- 16.Nagelkerk J, Reick K, Meengs L. Perceived barriers and effective strategies to diabetes self-management. Journal of Advanced Nursing. 2006;54(2):151–158. doi: 10.1111/j.1365-2648.2006.03799.x. [DOI] [PubMed] [Google Scholar]
- 17.Matthews SM, Peden AR, Rowles GD. Patient–provider communication: Understanding diabetes management among adult females. Patient Educ Couns. 2009;76(1):31–37. doi: 10.1016/j.pec.2008.11.022. [DOI] [PubMed] [Google Scholar]
- 18.Zolnierek KBH, DiMatteo MR. Physician communication and patient adherence to treatment: a meta-analysis. Medical Care. 2009;47(8):826. doi: 10.1097/MLR.0b013e31819a5acc. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Aikens JE, Bingham R, Piette JD. Patient-Provider Communication and Self-care Behavior Among Type 2 Diabetes Patients. The Diabetes Educator. 2005;31(5):681–690. doi: 10.1177/0145721705280829. [DOI] [PubMed] [Google Scholar]
- 20.Golin CE, DiMatteo MR, Gelberg L. The role of patient participation in the doctor visit: implications for adherence to diabetes care. Diabetes care. 1996;19(10):1153–1164. doi: 10.2337/diacare.19.10.1153. [DOI] [PubMed] [Google Scholar]
- 21.Haskard KB, Williams SL, DiMatteo MR, et al. Physician and patient communication training in primary care: effects on participation and satisfaction. Health Psychol. 2008;27(5):513–522. doi: 10.1037/0278-6133.27.5.513. [DOI] [PubMed] [Google Scholar]
- 22.Brown JB, Boles M, Mullooly JP, et al. Effect of clinician communication skills training on patient satisfaction: a randomized, controlled trial. Ann Intern Med. 1999;131(11):822–829. doi: 10.7326/0003-4819-131-11-199912070-00004. [DOI] [PubMed] [Google Scholar]
- 23.Levinson W, Roter DL, Mullooly JP, et al. Physician-patient communication: the relationship with malpractice claims among primary care physicians and surgeons. Jama. 1997;277(7):553–559. doi: 10.1001/jama.277.7.553. [DOI] [PubMed] [Google Scholar]
- 24.Thorne SE, Bultz BD, Baile WF. Is there a cost to poor communication in cancer care?: a critical review of the literature. Psycho Oncology. 2005;14(10):875–884. doi: 10.1002/pon.947. [DOI] [PubMed] [Google Scholar]
- 25.Meeuwesen L, Kaptein M. Changing interactions in doctor-parent-child communication. Psychology and Health. 1996;11(6):787–795. [Google Scholar]
- 26.Vigilante VA, Hossain J, Wysocki T, et al. Correlates of Type and Quantity of Child Communication during Pediatric Subspecialty Encounters. Patient Education and Counseling. (0) doi: 10.1016/j.pec.2015.05.001. [DOI] [PubMed] [Google Scholar]
- 27.Tates K, Meeuwesen L. `Let Mum have her say': Turntaking in doctor-parent-child communication. Patient Education and Counseling. 2000;40(2):151–162. doi: 10.1016/s0738-3991(99)00075-0. [DOI] [PubMed] [Google Scholar]
- 28.van Dulmen AM. Children's contributions to pediatric outpatient encounters. Pediatrics. 1998;102(3):563–568. doi: 10.1542/peds.102.3.563. [DOI] [PubMed] [Google Scholar]
- 29.Tates K, Meeuwesen L, Elbers E, et al. ‘I’ve come for his throat’: roles and identities in doctor–parent–child communication. Child: Care, Health and Development. 2002;28(1):109–116. doi: 10.1046/j.1365-2214.2002.00248.x. [DOI] [PubMed] [Google Scholar]
- 30.Young B, Dixon-Woods M, Windridge KC, et al. Managing communication with young people who have a potentially life threatening chronic illness: Qualitative study of patients and parents. British Medical Journal. 2003;326(7384):305–309. doi: 10.1136/bmj.326.7384.305. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lewis CC, Pantell RH, Sharp L. Increasing patient knowledge, satisfaction, and involvement: randomized trial of a communication intervention. Pediatrics. 1991;88(2):351–358. [PubMed] [Google Scholar]
- 32.Byczkowski TL, Kollar LM, Britto MT. Family experiences with outpatient care: do adolescents and parents have the same perceptions? Journal of Adolescent Health. 2010;47(1):92–98. doi: 10.1016/j.jadohealth.2009.12.005. [DOI] [PubMed] [Google Scholar]
- 33.Nova C, Vegni E, Moja EA. The physician–patient–parent communication: A qualitative perspective on the child's contribution. Patient education and counseling. 2005;58(3):327–333. doi: 10.1016/j.pec.2005.02.007. [DOI] [PubMed] [Google Scholar]
- 34.Yoon PW, Bastian B, Anderson RN, et al. Potentially Preventable Deaths from the Five Leading Causes of Death — United States, 2008–2010. CDC Morbidity and Mortality Weekly Report. 2014;63(17):369–374. [PMC free article] [PubMed] [Google Scholar]
- 35.Daniels SR, Hassink SG, Abrams SA, et al. The role of the pediatrician in primary prevention of obesity. Pediatrics. 2015;136(1):e275–e292. doi: 10.1542/peds.2015-1558. [DOI] [PubMed] [Google Scholar]
- 36.Institute of Medicine. Committee on crossing the quality chasm: Adaptation to mental health addictive disorders. Improving the quality of health care for mental and substance-use conditions. Washington, D.C.: National Academy Press; 2006. [Google Scholar]
- 37.Simpson M, Buckman R, Stewart M, et al. Doctor-patient communication: the Toronto consensus statement. Bmj. 1991;303(6814):1385–1387. doi: 10.1136/bmj.303.6814.1385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Makoul G, Schofield T. Communication teaching and assessment in medical education: an international consensus statement. Patient education and Counseling. 1999;37(2):191–195. doi: 10.1016/s0738-3991(99)00023-3. [DOI] [PubMed] [Google Scholar]
- 39.Cowan D, Danoff D, Davis A, et al. CONSENSUS STATEMENT FROM THE WORKSHOP ON THE TEACHING AND ASSESSMENT OF COMMUNICATION-SKILLS IN CANADIAN MEDICAL-SCHOOLS. Can Med Assoc J. 1992;147(8):1149–1150. [PMC free article] [PubMed] [Google Scholar]
- 40.Committee GMCE. Tomorrow's doctors: Recommendations on undergraduate medical education. London: General Medical Council; 1993. [Google Scholar]
- 41.Harden R, Davis M, Friedman Ben-David M. UK recommendations on undergraduate medical education and the Flying Wallendas. Med Teach. 2002;24(1):5–8. doi: 10.1080/00034980120103423a. [DOI] [PubMed] [Google Scholar]
- 42.Surgeons AAoO. Information Statement 1017: Patient-Physician Communication. [Accessed 10/07/2015];2000 http://www6.aaos.org/news/PDFopen/PDFopen.cfm?page_url= http://www.aaos.org/about/papers/advistmt/1017.asp, 2015. [Google Scholar]
- 43.Obstetricians ACo, Gynecologists. Effective patient-physician communication. Committee opinion no. 492. Obstet Gynecol. 2011;117(5):1254–1257. doi: 10.1097/AOG.0b013e31821d7d98. [DOI] [PubMed] [Google Scholar]
- 44.Drazen JM, Shields HM, Loscalzo J. A Division of Medical Communications in an Academic Medical Center’s Department of Medicine. Acad Med. 2014;89(12):1623–1629. doi: 10.1097/ACM.0000000000000472. [DOI] [PubMed] [Google Scholar]
- 45.Henry SG, Holmboe ES, Frankel RM. Evidence-based competencies for improving communication skills in graduate medical education: A review with suggestions for implementation. Med Teach. 2013;35(5):395–403. doi: 10.3109/0142159X.2013.769677. [DOI] [PubMed] [Google Scholar]
- 46.Levinson W, Lesser CS, Epstein RM. Developing physician communication skills for patient-centered care. Health Aff (Millwood) 2010;29(7):1310–1318. doi: 10.1377/hlthaff.2009.0450. [DOI] [PubMed] [Google Scholar]
- 47.Douaihy A, Kelly TM, Gold MA. Motivational Interviewing: a guide for medical trainees. Oxford University Press; 2015. [Google Scholar]
- 48.Miller WR, Rollnick S. Ten things that motivational interviewing is not. Behavioural and Cognitive Psychotherapy. 2009;37(02):129–140. doi: 10.1017/S1352465809005128. [DOI] [PubMed] [Google Scholar]
- 49.Vallerand RJ, Ratelle CF. Intrinsic and extrinsic motivation: A hierarchical model. Handbook of self-determination research. 2002;128:37–63. [Google Scholar]
- 50.Burke BL, Arkowitz H, Menchola M. The efficacy of motivational interviewing: a meta-analysis of controlled clinical trials. Journal of Consulting and Clinical Psychology. 2003;71(5):843. doi: 10.1037/0022-006X.71.5.843. [DOI] [PubMed] [Google Scholar]
- 51.Hettema JE, Miller WR, Steele JM. A meta-analysis of motivational interviewing techniques in the treatment of alcohol use disorders. Alcoholism: Clinical and Experimental Research. 2004;28:74A. [Google Scholar]
- 52.Apodaca TR, Longabaugh R. Mechanisms of change in motivational interviewing: A review and preliminary evaluation of the evidence. Addiction. 2009;104(5):705–715. doi: 10.1111/j.1360-0443.2009.02527.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Ream E, Gargaro G, Barsevick A, et al. Management of cancer-related fatigue during chemotherapy through telephone motivational interviewing: Modeling and randomized exploratory trial. Patient Education and Counseling. 2015;98(2):199–206. doi: 10.1016/j.pec.2014.10.012. [DOI] [PubMed] [Google Scholar]
- 54.Thrasher AD, Golin CE, Earp JAL, et al. Motivational interviewing to support antiretroviral therapy adherence: The role of quality counseling. Patient education and Counseling. 2006;62(1):64–71. doi: 10.1016/j.pec.2005.06.003. [DOI] [PubMed] [Google Scholar]
- 55.Naar-King S, Outlaw AY, Sarr M, et al. Motivational Enhancement System for Adherence (MESA): Pilot Randomized Trial of a Brief Computer-Delivered Prevention Intervention for Youth Initiating Antiretroviral Treatment. Journal of Pediactric Psychology. 2013;38(6):638–648. doi: 10.1093/jpepsy/jss132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Outlaw AY, Naar-King S, Tanney M, et al. The Initial Feasibility of a Computer-Based Motivational Intervention for Adherence for Youth Newly Recommended to Start Antiretroviral Treatment. AIDS Care. 2014;26(1):130–135. doi: 10.1080/09540121.2013.813624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Channon S, Smith V, Gregory J. A pilot study of motivational interviewing in adolescents with diabetes. Archives of Disease in Childhood. 2003;88(8):680–683. doi: 10.1136/adc.88.8.680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Wang Y-C, Stewart SM, Mackenzie M, et al. A randomized controlled trial comparing motivational interviewing in education to structured diabetes education in teens with type 1 diabetes. Diabetes care. 2010;33(8):1741–1743. doi: 10.2337/dc10-0019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Welch G, Zagarins SE, Feinberg RG, et al. Motivational interviewing delivered by diabetes educators: Does it improve blood glucose control among poorly controlled type 2 diabetes patients? Diabetes Res Clin Pract. 2011;91(1):54–60. doi: 10.1016/j.diabres.2010.09.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Armstrong M, Mottershead T, Ronksley P, et al. Motivational interviewing to improve weight loss in overweight and/or obese patients: a systematic review and meta-analysis of randomized controlled trials. Obesity reviews. 2011;12(9):709–723. doi: 10.1111/j.1467-789X.2011.00892.x. [DOI] [PubMed] [Google Scholar]
- 61.Brennan L, Walkley J, Fraser SF, et al. Motivational interviewing and cognitive behaviour therapy in the treatment of adolescent overweight and obesity: study design and methodology. Contemp Clin Trials. 2008;29(3):359–375. doi: 10.1016/j.cct.2007.09.001. [DOI] [PubMed] [Google Scholar]
- 62.MacDonell K, Brogan K, Naar-King S, et al. A pilot study of motivational interviewing targeting weight-related behaviors in overweight or obese African American adolescents. Journal of Adolescent Health. 2012;50(2):201–203. doi: 10.1016/j.jadohealth.2011.04.018. [DOI] [PubMed] [Google Scholar]
- 63.Pollak KI, Alexander SC, Coffman CJ, et al. Physician communication techniques and weight loss in adults: Project CHAT. Am J Prev Med. 2010;39(4):321–328. doi: 10.1016/j.amepre.2010.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Schwartz RP, Hamre R, Dietz WH, et al. Office-based Motivational Interviewing to prevent childhood obesity: A feasibility study. Archives of Pediatrics & Adolescent Medicine. 2007;161(5):495–501. doi: 10.1001/archpedi.161.5.495. [DOI] [PubMed] [Google Scholar]
- 65.Resnicow K, Taylor R, Baskin M, et al. Results of Go Girls: A weight control program for overweight African-American adolescent females. Obesity. 2005;13(10):1739–1748. doi: 10.1038/oby.2005.212. [DOI] [PubMed] [Google Scholar]
- 66.Barlow SE Committee atE. Expert Committee Recommendations Regarding the Prevention, Assessment, and Treatment of Child and Adolescent Overweight and Obesity: Summary Report. Pediatrics. 2007;120(Supplement 4):S164–S192. doi: 10.1542/peds.2007-2329C. [DOI] [PubMed] [Google Scholar]
- 67.Rollnick S, Miller WR, Butler CC. Motivational Interviewing in health care: Helping patients change behavior. Guilford Press; 2007. [Google Scholar]
- 68.Markland D, Ryan RM, Tobin VJ, et al. Motivational interviewing and self–determination theory. Journal of Social and Clinical Psychology. 2005;24(6):811–831. [Google Scholar]
- 69.Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist. 2000;55(1):68. doi: 10.1037//0003-066x.55.1.68. [DOI] [PubMed] [Google Scholar]
- 70.Julien E, Senécal C, Guay F. Longitudinal relations among perceived autonomy support from health care practitioners, motivation, coping strategies and dietary compliance in a sample of adults with type 2 diabetes. Journal of Health Psychology. 2009;14(3):457–470. doi: 10.1177/1359105309102202. [DOI] [PubMed] [Google Scholar]
- 71.Deci EL, Ryan RM. Intrinsic motivation and self-determination in human behavior. Springer; 1985. [Google Scholar]
- 72.Williams GG, Gagné M, Ryan RM, et al. Facilitating autonomous motivation for smoking cessation. Health Psychology. 2002;21(1):40. [PubMed] [Google Scholar]
- 73.Caprio S, Daniels SR, Drewnowski A, et al. Influence of Race, Ethnicity, and Culture on Childhood Obesity: Implications for Prevention and Treatment A consensus statement of Shaping America's Health and the Obesity Society. Diabetes Care. 2008;31(11):2211–2221. doi: 10.2337/dc08-9024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Hettema J, Steele J, Miller WR. Motivational interviewing. Annu Rev Clin Psychol. 2005;1:91–111. doi: 10.1146/annurev.clinpsy.1.102803.143833. [DOI] [PubMed] [Google Scholar]
- 75.Miller WR, Rose GS. Toward a theory of motivational interviewing. American Psychologist; American Psychologist. 2009;64(6):527. doi: 10.1037/a0016830. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Walker D, Stephens R, Rowland J, et al. The influence of client behavior during motivational interviewing on marijuana treatment outcome. Addictive Behaviors. 2011 doi: 10.1016/j.addbeh.2011.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Catley D, Harris KJ, Mayo MS, et al. Adherence to principles of motivational interviewing and client within-session behavior. Behavioural and Cognitive Psychotherapy. 2006;34(1):43. [Google Scholar]
- 78.Magill M, Gaume J, Apodaca TR, et al. The technical hypothesis of motivational interviewing: A meta-analysis of MI’s key causal model. Journal of Consulting and Clinical Psychology. 2014;82(6):973–983. doi: 10.1037/a0036833. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.McCambridge J, Day M, Thomas BA, et al. Fidelity to Motivational Interviewing and subsequent cannabis cessation among adolescents. Addictive Behaviors. 2011 doi: 10.1016/j.addbeh.2011.03.002. [DOI] [PubMed] [Google Scholar]
- 80.Bakeman R, Quera V. Observing interaction: An introduction to sequential analysis. 2nd. New York: Cambridge University Press; 1997. [Google Scholar]
- 81.Bakeman R, Quera V. Sequential analysis and observational methods for the behavioral sciences. New York: Cambridge University Press; 2011. [Google Scholar]
- 82.Moyers TB, Martin T. Therapist influence on client language during motivational interviewing sessions. Journal of substance abuse treatment. 2006;30(3):245–251. doi: 10.1016/j.jsat.2005.12.003. [DOI] [PubMed] [Google Scholar]
- 83.Gaume J, Bertholet N, Faouzi M, et al. Counselor motivational interviewing skills and young adult change talk articulation during brief motivational interventions. Journal of substance abuse treatment. 2010;39(3):272–281. doi: 10.1016/j.jsat.2010.06.010. [DOI] [PubMed] [Google Scholar]
- 84.Gaume J, Gmel G, Faouzi M, et al. Counsellor behaviours and patient language during brief motivational interventions: a sequential analysis of speech. Addiction. 2008;103(11):1793–1800. doi: 10.1111/j.1360-0443.2008.02337.x. [DOI] [PubMed] [Google Scholar]
- 85.Glynn LH, Moyers TB. Chasing change talk: The clinician's role in evoking client language about change. Journal of Substance Abuse Treatment. 2010;39(1):65–70. doi: 10.1016/j.jsat.2010.03.012. [DOI] [PubMed] [Google Scholar]
- 86.Gaume J, Bertholet N, Faouzi M, et al. Counselor motivational interviewing skills and young adult change talk articulation during brief motivational interventions. Journal of substance abuse treatment. 2010;39(3):272–281. doi: 10.1016/j.jsat.2010.06.010. [DOI] [PubMed] [Google Scholar]
- 87.Glynn L, Houck J, Moyers T, et al. ARE CHANGE TALK AND SUSTAIN TALK" CONTAGIOUS" IN GROUPS? SEQUENTIAL PROBABILITIES AND SAFER-SEXOUTCOMES IN ALCOHOL-AND MARIJUANA-USING ADOLESCENTS; Paper presented at: ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH.2014. [Google Scholar]
- 88.Idalski Carcone A, Naar-King S, Brogan K, et al. Provider communication behaviors that predict motivation to change in African American adolescents with obesity. Journal of Development and Behavioral Pediatrics. 2013;34(8):599–608. doi: 10.1097/DBP.0b013e3182a67daf. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Martin T, Moyers TB, Houck J, et al. Motivational Interviewing Sequential Code for Observing Process Exchanges (MI-SCOPE) coder's manual. University of New Mexico: Center on Alcoholism, Substance Abuse, and Addictions (CASAA); 2005. [Google Scholar]
- 90.Miller WR, Moyers TB, Ernst D, et al. Manual for the Motivational Interviewing Skill Code (MISC) University of New Mexico: Center on Alcoholism, Substance Abuse, and Addictions (CASAA); 2008. [Google Scholar]
- 91.Jaques-Tiura A, Naar-King S, Idalski Carcone A, et al. Using Sequential Analysis to Predict Motivation to Change Weight-Related Behaviors in a Sample of African American Caregivers of Adolescents with Obesity; 25th Annual Meeting of the Association for Psychological Science; Washington, D.C.. 2013. [Google Scholar]
- 92.Amrhein PC, Miller WR, Yahne CE, et al. Client commitment language during motivational interviewing predicts drug use outcomes. Journal of Consulting and Clinical Psychology. 2003;71(5):862. doi: 10.1037/0022-006X.71.5.862. [DOI] [PubMed] [Google Scholar]
- 93.Vansteenkiste M, Simons J, Soenens B, et al. How to become a persevering exerciser? Providing a clear, future intrinsic goal in an autonomy-supportive way. Journal of Sport & Exercise Psychology. 2004 [Google Scholar]
- 94.Shen B, McCaughtry NA, Martin J, et al. African American Adolescents' Exercise Intention and Behavior: Does Gender Moderate the Transcontextual Model Contributions? Research Quarterly for Exercise and Sport. 2007;78(A72) [Google Scholar]
- 95.Spear HJ, Kulbok P. Autonomy and adolescence: A concept analysis. Public Health Nursing. 2004;21(2):144–152. doi: 10.1111/j.0737-1209.2004.021208.x. [DOI] [PubMed] [Google Scholar]
- 96.Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–174. [PubMed] [Google Scholar]
- 97.Blei DM, Ng AY, Jordan MI. Latent dirichlet allocation. J Mach Learn Res. 2003;3:993–1022. [Google Scholar]
- 98.Griffiths T, Steyvers M. Prediction and semantic association. 2003 [Google Scholar]
- 99.Hofmann T. Unsupervised Learning by Probabilistic Latent Semantic Analysis. Machine Learning. 2001;42(1–2):177–196. [Google Scholar]
- 100.Chen Y, Rege M, Dong M, et al. Incorporating User Provided Constraints into Document Clustering. Paper presented at: Data Mining, 2007. ICDM 2007; Seventh IEEE International Conference on; 28–31 Oct. 2007.2007. [Google Scholar]
- 101.McCallum A, Nigam K. A comparison of event models for naive bayes text classification; Paper presented at: AAAI-98 workshop on learning for text categorization; 1998. [Google Scholar]
- 102.Cortes C, Vapnik V. Support-vector networks. Machine learning. 1995;20(3):273–297. [Google Scholar]
- 103.Lafferty J, McCallum A, Pereira FC. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. 2001 [Google Scholar]
- 104.Kotov A, Idalski Carcone A, Dong M, et al. Proceedings of the Big Data Analytic Technology For Bioinformatics and Heath Informatics Workshop (KDD-BHI) in conjunction with ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY: 2014. Towards Automatic Coding of Interview Transcripts for Public Health Research. [Google Scholar]