Abstract
PURPOSE
We aimed to identify the strategies used to support patient behavior change by clinicians whose patients had an increase in patient activation.
METHODS
This mixed methods study was conducted in collaboration with Fairview Health Services, a Pioneer Accountable Care Organization. We aggregated data on the change in patient activation measure (PAM) score for 7,144 patients to the primary care clinician level. We conducted in-depth interviews with 10 clinicians whose patients’ score increases were among the highest and 10 whose patients’ score changes were among the lowest. Transcripts of the interviews were analyzed to identify key strategies that differentiated the clinicians whose patients had top PAM change scores.
RESULTS
Clinicians whose patients had relatively large activation increases reported using 5 key strategies to support patient behavior change (mean = 3.9 strategies): emphasizing patient ownership; partnering with patients; identifying small steps; scheduling frequent follow-up visits to cheer successes, problem solve, or both; and showing caring and concern for patients. Clinicians whose patients had lesser change in activation were far less likely to describe using these approaches (mean = 1.3 strategies). Most clinicians, regardless of group, reported developing their own approach to support patient behavior change. Those whose patients showed high activation change reported spending more time with patients on counseling and education than did those whose patients showed less improvement in activation.
CONCLUSIONS
Clinicians vary in the strategies they use to promote behavior change and in the time spent with patients on such activities. The 5 key strategies used by clinicians with high patient activation change are promising approaches to supporting patient behavior change that should be tested in a larger sample of clinicians to validate their effectiveness.
Keywords: health behavior, behavior change, practice patterns, physicians’, motivation, patient activation, self-management, patient empowerment, mixed methods research, primary care, practice-based research
INTRODUCTION
Through policies such as pay for performance and public reporting of clinicians’ quality of care, clinicians are increasingly responsible for their patients’ care outcomes.1–4 Yet, for health outcomes to improve, patients must do their part, following through on treatment regimens and making recommended lifestyle changes.5–7 Given the key role that patients play in determining health outcomes, policy makers have made patient engagement and patient activation a major focus, including embedding approaches for increasing engagement in the Patient Protection and Affordable Care Act.8,9
Patient activation, which is defined as having the knowledge, confidence, and skills to take care of one’s health and health care, has been shown to be associated with a broad range of health-related outcomes, including better self-management and clinical indicators, fewer hospitalizations, and lower health care costs.10–20 Recently, studies have demonstrated that one’s activation level predicts outcomes over several years, and that when activation levels change, many outcomes change in the expected direction.21,22
Although the evidence base for the relationship between patient activation and health outcomes has developed substantially, less is known about how patients’ activation levels can be increased. Studies have found that patient education and empowerment efforts, such as the Stanford Chronic Disease Self-Management Program and coaching with motivational interviewing, increase activation.23–31 Very little research, however, has examined the clinician role in supporting patient activation. Given clinicians’ key potential impact on patient behavior, this is an important area for investigation.
Related research has shown, for example, that clinicians’ use of motivational interviewing and other communication-based behavior change techniques can improve patients’ self-management behaviors and health outcomes.32,33 Several studies have found that physician behaviors, such as showing empathy and not being verbally dominant, are associated with increases in patients’ understanding of their condition and ability to manage their illness.34–36 Also, patients’ assessment of clinician support of the chronic care model has been associated with higher levels of self-management.37–39
Research to date has not examined whether clinicians’ behaviors influence patients’ level of activation, however. That is, although some of these behaviors may be intended to engage patients in their own care, for example, the sharing of the medical record or asking patients to state preferences, it is unclear which if any of these behaviors result in an overall increased capacity for patients to self-manage (or to become more activated). In addition, prior studies have not typically examined the constellation of strategies used by clinicians who have proven that they are effective in this arena. We therefore undertook a study not only to help elucidate the behaviors that are effective in supporting greater activation, but also to help elaborate the potential causal chain that links these behaviors with better outcomes.
METHODS
We used a modified version of the positive deviance approach, which is a mixed methods approach premised on the notion that solutions to challenging problems already exist, have been developed by innovative individuals (or groups) or “positive deviants,” and can be discerned to help others improve outcomes.40,41 The methodology was developed to address health problems in developing countries, but has been recently used in the United States to identify effective approaches to improving quality of care.40,42–48 Positive deviants are identified using established performance measures, and then qualitative interviews are conducted with these individuals to develop hypotheses about their distinctive strategies. Some researchers additionally conduct qualitative research with low or average performers, as was done in this study, so that positive deviants’ strategies can be distinguished from those used by others.42,43,45
This study was conducted in collaboration with Fairview Health Services, a Pioneer Accountable Care Organization in Minnesota. Since mid-2010, Fairview has routinely had primary care patients complete the 13-item patient activation measure (PAM).9 The PAM has an interval-level, Guttman-like scale; possible scores range from 1 to 100, with higher scores indicating greater patient activation. Prior studies have found a difference of at least 5 points to be meaningful.49–51 Our modified positive deviance approach used data on the change in PAM scores to identify those primary care clinicians whose patients’ scores increased the most and the least. We then conducted in-depth interviews with these positive and negative deviants, to distill the differentiating strategies used by top performers to support self-management and behavior change.
We began with a panel of 7,144 patients who had 2 PAM scores between 2010 and 2012, and whose baseline score was not in the highest of 4 levels of scores. We aggregated the panel to the clinician level, retaining 54 clinicians who had 40 or more patients with serial PAM scores. We ranked the clinicians based on the change in their patients’ scores. We considered the top 15 clinicians based on mean and median change in score (9 were on both lists) to be the positive deviants, whom we refer to as the top performers, and the bottom 15 clinicians based on either mean or median change in score (12 were on both lists) to be the negative deviants or bottom performers.
In the fall of 2013, 2 of the authors (J.G. and J.H.H., both social scientists) conducted 20 in-depth interviews, divided between top and bottom performers. All but 2 interviews were conducted face to face. A semistructured protocol was used to explore the strategies clinicians used when it came to the most challenging component of self-management, lifestyle behavior change, as exemplified by quitting smoking or increasing exercise.38 The interview guide also explored how the clinicians handled situations when patients did not make recommended behavioral changes and their training in patient behavior change. Interviews lasted approximately 30 minutes, were audio recorded, and were transcribed verbatim.
Data Analysis
Two of the authors (J.G. and C.A., both social scientists, 1 of whom is also a nurse practitioner) developed a set of thematic codes related to patient support strategies based on a review of several transcripts. The 2 authors independently reviewed each transcript to identify text blocks that related to each code, and the coding was compared and reconciled. Both reviewers believed thematic saturation had been reached. In the text, we have included the clinician number by each quotation (1 to 10 indicate top performers and 11 to 20 indicate bottom performers).
RESULTS
Table 1 shows the characteristics of the clinicians studied and the changes in PAM scores of their patients. The mean change in score was 7.5 points among the top-performing clinicians interviewed, whereas it was just 3.1 points among the bottom-performing clinicians. The patients of the 2 groups of clinicians were similar in terms of chronic conditions and hospital use. Of note, 2 clinics had both top and bottom performers.
Table 1.
Characteristic | Top-Performing Clinicians (n = 10) | Bottom-Performing Clinicians (n = 10) |
---|---|---|
Patientsa | ||
Change in PAM score | ||
Mean | 7.5 | 3.1 |
Median | 5.5 | 1.3 |
Chronic conditions, mean No.b | 0.6 | 0.7 |
Emergency department visits,c mean No. | 0.3 | 0.3 |
Hospitalizations,c mean No. | 0.1 | 0.1 |
Clinicians | ||
Sex | ||
Male, No. | 3 | 7 |
Female, No. | 7 | 3 |
Type of clinician | ||
Family practitioner, No. | 7 | 5 |
Internist, No. | 1 | 2 |
Internist/pediatrician, No. | 1 | 2 |
Nurse practitioner, No. | 1 | 0 |
Physician assistant, No. | 0 | 1 |
PAM = patient activation measure (scores range from 1 to 100, with higher scores indicating greater activation).
Among those having 2 PAM scores.
Diabetes, asthma, hyperlipidemia, chronic obstructive pulmonary disease, coronary artery disease, congestive heart failure, and depression.
At Fairview Health Services in the baseline year.
Strategies Used Mainly by Top Performers
The majority of top performers reported using 5 interrelated strategies described below (mean = 3.9 strategies) (Table 2). The bottom performers were far less likely to report using these approaches (mean = 1.3 strategies), and when they did endorse the approach, they rarely described it in the same level of detail used by the top performers.
Table 2.
Strategy | Clinicians Reporting Strategy, No.
|
|
---|---|---|
Top-Performing Clinicians (n = 10) | Bottom-Performing Clinicians (n = 10) | |
Used mainly by top-performing group | ||
Emphasizing patient ownership | 8 | 3 |
Partnering with patients | 9 | 3 |
Identifying small steps | 10 | 3 |
Scheduling frequent follow-up visits | 7 | 3 |
Showing caring | 5 | 1 |
Used by both groups | ||
Reliance on team supports | 10 | 7 |
Used mainly by bottom-performing group | ||
Describing consequences of bad health behaviors | 2 | 8 |
Emphasizing Patient Ownership
Top performers described emphasizing that it is the patient, not the clinician, who is in charge of the patient’s health. A family practitioner (No. 10) explained, “I try to make them be the manager. I give them advice and what I think is the best course of action, I try to make them as responsible as I can.… I want them to take ownership.”
Several clinicians described their role as that of a “coach,” emphasizing the limits of what clinicians can do for patients and the crucial role patients play. One family practice physician (No. 5) described a common conversation that she has with patients: “I’m here to coach you, not to make you better—you make yourself better. I can’t do that for you.”
Partnering With Patients
The top performers described working in partnership with patients to create goals, strategize, and problem solve. A family practitioner (No. 6) explained, “I’ll ask people, in the first 2 or 3 sentences in the door, how are we going to get you to quit smoking? How can we work together?” Several clinicians explained that working in partnership was essential, because as clinicians, they do not always know what approaches to behavior change are most feasible or appealing to their patients. A family practice physician (No. 10) explained: “I do know them, but I don’t know their lives at all outside the clinic.”
Identifying Small Steps
The top performers described working with patients to agree on taking small, feasible steps toward healthier behaviors. Small steps were used to avoid overwhelming patients and to set them up to succeed, so they could take on larger steps in the future. A family practice physician (No. 7) explained, “Trying to get those little improvements is good to get the patient’s momentum going, but bombarding them with 10 solutions isn’t going to help… I try to meet them where they’re at—with baby steps.”
Many of the clinicians described working out very detailed steps with patients. For instance, a family practitioner (No. 4) described recommending that patients trying to cut back on smoking count out a number of cigarettes for the day, and hide the rest in their trunk or with a friend. Several clinicians described getting patients to commit to 1 small step as a way to encourage patients reluctant to make behavior change: “If they say, ‘I can’t do anything to make my life better,’ [I’ll say], ‘Let’s think of something you can do.’” (No. 1).
Scheduling Frequent Follow-up
Top performers described having patients make frequent follow-up visits to support behavior change, so the patients would know they were supported and “the door is always open.” Clinicians reported 2 key purposes for frequent follow-up. The first was cheering successes. A family practitioner (No. 1) explained, “When they come in and they’ve had a success, we celebrate together… I tell them, ‘I’m your biggest cheerleader. Whatever you succeed at, I’m going to cheer you on.’” The other purpose of frequent follow-up was problem solving. A family practitioner (No. 5) described using the follow-up visits to overcome obstacles: “I ask them, ‘Why aren’t we successful? What’s the problem? What are you finding is keeping you or holding you back?’”
Showing Care
One-half of the top-performing clinicians described telling their patients how much they cared about them as a way to help support patients in behavior change. As a family practitioner (No. 1) explained: “Most of my patients know I’m very up front and honest. Particularly my female patients, they joke with me and say not many men can tell me I’m fat and then see me again… I tell them it’s because I care about them and want them to be healthy.”
Strategies Used by Both Groups
Almost all the clinicians described relying on team members, such as hypertension nurses and diabetes educators, to support behavior change. A top-performing family physician (No. 10) explained, “My diabetic educator is essential to my diabetes care… My diabetic educator stays up on the latest, greatest pumps and sensing devices and stuff, I let them manage that stuff.”
Strategies Used Mainly by Bottom Performers
Most bottom-performing clinicians described telling patients the negative health outcomes they can expect if they do not change their unhealthy behaviors. An internist (No. 14) described, “Sometimes you just keep reminding people, ‘You’re going to kill yourself this way, you gotta’ do something.’”
Other Differences
Top performers described counseling and education as a crucial part of their work, taking up at least one-half of their time with patients. In contrast, the bottom performers mostly reported that counseling and education was a smaller component. One family practitioner (No. 14) said, “Maybe not even a third of it with lifestyle stuff. It kind of gets pushed aside because we just don’t have time.”
The top performers exhibited a more positive attitude toward working with patients on behavior change than bottom performers. For example, a family practitioner (No. 7) described: “I try to be positive about things, smile, being an uplifting person, trying not to be too judgmental. Try to have an open mind going into each visit… you can’t go in with a negative attitude.” In contrast, several bottom-performing clinicians expressed a sense that they lacked empowerment for working on behavior change. A family practitioner (No. 15) described, “It’s unfortunate, some people just seem hopeless—maybe not, but it seems that way.”
Interestingly, we noted no difference between the top and bottom performers in their report of prior patient behavior change training. Most reported their approach was based on “trial and error” and “trying to tweak it myself.”
DISCUSSION
We conducted in-depth interviews with 2 groups of primary care clinicians: those whose patients had relatively large increases in activation and those whose patients had a comparatively small change. The goal was to identify the distinctive strategies used to support patient behavior change by the exceptional clinicians. We found that most top-performing clinicians used 5 key strategies to support their patients’ behavior change: emphasizing patient ownership of their health, partnering with patients, identifying small steps toward change, scheduling frequent follow-up visits so change can be cheered or problems solved, and showing personal care for patients. Bottom-performing clinicians reported using far fewer of these strategies.
Although most of these approaches have been identified in prior research,52–55 they have not been combined as a holistic strategy to support patient behavior change or increase patients’ activation levels. Our findings also provide new insights on specific approaches, such as clinicians being explicit with patients about expectations with regard to their own role and the role of the patient. This idea of explicit role delineation is not a strategy that is typically included in discussions of best practices. Yet, we know that less activated patients often do not know what their role is in the care process, or believe their role is to be a passive recipient of care.56 Moreover, the other 4 strategies embraced by top performers are built on the implicit assumption that clinician and patient are willing to assume roles that are similar to the coach and the coached.
Another important finding is that most clinicians indicated that they had little training in how to support patient behavior change. This finding is not unique to Fairview: in the Duke community physician study, only about one-third of physicians (38%) reported receiving training in behavioral counseling.57 Whereas our top-performing clinicians invested time, effort, and attention to find effective ways to support patient self-management, the bottom-performing clinicians often described not feeling equipped to effectively work on behavior change. Clearly, more self-management support training is needed for clinicians.
These findings should be interpreted in the context of the study’s limitations, including availability of data on changes in PAM scores for only a small percentage of Fairview’s patients. Another limitation is that the strategies identified were based on clinician report, not observation. Additionally, we conducted the research in a single innovative delivery system, where quality metrics are high, and in a state known for high-quality performance.58 Our setting may have less variation across changes in PAM scores than others elsewhere. To validate the study’s findings, the relationship between the clinician strategies identified in the study and both patient behavior change and activation change should be tested in a larger sample of clinicians.
Supporting patient self-management represents a paradigm shift for many clinicians.59,60 As we see from the results of this study, some clinicians embrace strategies for patient engagement with more enthusiasm than others. From a policy perspective, it is critical that all primary care clinicians support patient self-management and activation. Moreover, it is inefficient for each clinician to use trial and error to find workable strategies. More systematic professional and organizational approaches are needed. Training, incentives, and organization supports are necessary to help clinicians adopt evidence-based approaches to supporting patient self-management and increasing activation levels.
Footnotes
Conflicts of interest: Judith Hibbard is a consultant to and equity stakeholder in Insignia Health. The other authors have no conflicts to report.
Funding support: This research was funded by the Gordon and Betty Moore Foundation. The Gordon and Betty Moore Foundation, established in 2000, seeks to advance environmental conservation, patient care, and scientific research. For more information, visit www.moore.org.
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