Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2012 May 30.
Published in final edited form as: J Am Board Fam Med. 2011 Nov;24(6):665–672. doi: 10.3122/jabfm.2011.06.110025

Physician Empathy and Listening: Associations with Patient Satisfaction and Autonomy

Kathryn I Pollak 1, Stewart C Alexander 1, James A Tulsky 1, Pauline Lyna 1, Cynthia J Coffman 1, Rowena J Dolor 1, Pål Gulbrandsen 1, Truls Østbye 1
PMCID: PMC3363295  NIHMSID: NIHMS379039  PMID: 22086809

Abstract

Purpose

Motivational Interviewing (MI) is used to help patients change their behaviors. We sought to determine if physician use of specific MI techniques increases patient satisfaction with the physician and perceived autonomy.

Methods

We audio-recorded preventive and chronic care encounters between 40 primary care physicians and 320 of their overweight or obese patients. We coded use of MI techniques (eg, empathy, reflective listening). We assessed patient satisfaction and how much the patient felt the physician supported him or her to change. Generalized estimating equation models with logit links were used to examine associations between MI techniques and patient perceived autonomy and satisfaction.

Results

Patients whose physicians were rated as more empathic had higher rates of high satisfaction than patients whose physicians were less empathic (29% vs 11%; P = .004). Patients whose physicians made any reflective statements had higher rates of high autonomy support than those whose physicians did not (46% vs 30%; P = .006).

Conclusions

When physicians used reflective statements, patients were more likely to perceive high autonomy support. When physicians were empathic, patients were more likely to report high satisfaction with the physician. These results suggest that physician training in MI techniques could potentially improve patient perceptions and outcomes.

Keywords: Counseling, Empathy, Patient Satisfaction, Reflective Listening


Patient-physician communication is a central component of high-quality care. Several studies have shown that quality communication is associated with higher patient satisfaction and adherence and a lower probability of malpractice suits.13 Some communication, however, presents challenges for primary care physicians. For instance, physicians report barriers to counseling about weight loss, such as not enough time and fear of embarrassing patients.4,5 Further, they rarely see positive effects of their counseling.

An effective counseling style that has been receiving attention for application in primary care settings is motivational interviewing (MI). The main purpose of MI is to elicit people's internal motivation to change through exploring and resolving ambivalence.6,7 When delivered by counselors outside of the primary care encounter, MI has been found to be effective in changing an array of health-related behaviors.811 Three studies have shown that when physicians who are counseling patients use MI techniques, such as reflective statements and praise, their patients are more likely to lose weight.12,13 By using these MI techniques, physicians partner with patients and show support for their autonomy to make their own changes. This, in turn, may lead patients to feel more satisfied and to believe that they can, in fact, make decisions for themselves.14,15 However, no one has examined whether these relationships actually occur. In this article, we explore whether physicians’ use of MI techniques during weight loss conversations was associated with greater patient satisfaction and perceived autonomy support.

Methods

Physician Recruitment

Project CHAT (Communicating Health: Analyzing Talk) was approved by the Duke University Medical Center institutional review board. Methods are described in detail elsewhere.12 Primary care physicians (n = 40) from community-based practices were told the study would examine how they address preventive health. Participating physicians gave written consent, completed a baseline questionnaire to assess demographic variables, and provided an electronic signature for generating letters to their patients. Between 11 and 13 patient visits per physician were audio recorded.

Patient Recruitment

To avoid acute care visits in which weight likely would not be addressed, only patients with appointments that were at least 3 weeks in advance or further out were randomly selected. For these selected patients, a letter signed by the patient's physician introduced the study to patients as examining how physicians address preventive health with patients. Included in the letter was a toll-free number to refuse contact. One week later, patients were called to review eligibility and administer the baseline questionnaire to assess demographics. Eligible patients were at least 18 years of age, English speaking, cognitively able to provide consent, not pregnant, and had a body mass index (BMI) >25. Immediately after the encounter, patients completed a questionnaire that asked them to rate their physician's communication (see Measures, below). Data from patients and physicians who discussed weight are included in this article (320 of 461 patient-physician encounters). Data collection occurred between December 2006 and June 2008.

Coding Audio Recordings: Motivational Interviewing

Two independent coders, who had received 30 hours of training, assessed MI using the Motivational Interview Treatment Integrity scale,16 a reliable and valid assessment of MI techniques.17,18 When conflicts arose, they discussed and agreed on a code. Interrater reliability was assessed using intraclass correlation coefficients (ICCs) to take into account the differences in ratings for individual segments, along with the correlation between raters.19 Shrout20 proposed the following benchmarks for the interpretation of interrater reliability coefficients: 0.00 to 0.10 (virtually none), 0.11 to 0.40 (slight), 0.41 to 0.60 (fair), 0.61 to 0.80 (moderate), and 0.81 to 1.0 (substantial). They assessed global ratings of “empathy” (1 to 5 scale; ICC = 0.70), which was defined as the physician showing evidence of understanding of patient's point of view. They also coded “MI spirit” (1 to 5 scale; ICC = 0.81), which included three components: (1) evocation (eliciting patients’ own reasons for change), (2) collaboration (acting as partners), and (3) autonomy (conveying that change comes only from patients).

Coders also identified six physician behaviors, including (1) closed questions (yes/no; ICC = 0.82), (2) open questions (ICC = 0.78), (3) simple reflections (conveys understanding but adds no new meaning; ICC = 0.45), (4) complex reflections (conveys understanding and adds substantial meaning; ICC = 1.0), (5) MI-consistent behaviors (asking permission, affirming, providing supportive statements, and emphasizing control; ICC = 0.70), and MI-inconsistent behaviors (advising without permission, confronting, and directing; ICC = 0.77).

Patient Satisfaction

Patients were asked nine questions to assess their satisfaction with the visit.21 Sample items include, “In terms of satisfaction, how would you rate each of the following:” the technical skills (thoroughness, carefulness, competence) of the physician you saw and time spent with the physician you saw (1 = poor, 2 = fair, 3 = good, 4 = very good, and 5 = excellent; α = 0.79). To be consistent with previous reports of this measure, the patient satisfaction scale was dichotomized (5, excellent vs 1 to 4, not excellent)21,22

Patient Autonomy Support

Patients were asked 15 questions to assess how well physicians supported their autonomy.23 Sample items read, “I feel that my physician has provided me choices and options” and “I feel understood by my physician” (1 = strongly disagree to 5 = strongly agree; α = 0.94). Because of the skewed distribution (38% had the maximum score of 75; median score, 73), the outcome for autonomy support was dichotomized as the highest perceived autonomy (score of 75) versus not the highest perceived autonomy (score <75).23

Primary Outcome Measure, Predictor Variables, and Covariates

The effect of the following MI techniques on patient satisfaction and autonomy support were examined: (1) MI spirit (score >1); (2) empathy (score >1); (3) open questions (any open questions); (4) reflections (any simple and/or complex reflections); and (5) MI-consistent and MI-inconsistent behaviors).

Patient-level covariates included sex; age; race; comorbidities (diabetes, hypertension, arthritis, and hyperlipidemia); high school education; economic security (enough money to pay monthly bills); weight-designation of overweight (BMI, 25– 29.9 kg/m2) or obese (BMI ≥30 kg/m2); actively trying to lose weight; motivated to lose weight; comfortable discussing weight; and confident about losing weight.

Analyses

All analyses were performed using SAS software version 9.2 (SAS Institute, Inc., Cary, NC). For raw scores of patient satisfaction and autonomy support, an ICC was calculated to evaluate similarity and independence among patients by examining patient satisfaction (ICC = 0.11) and perceived autonomy (ICC = 0.09) by physician.24 We also calculated the proportion of encounters per physician in which physicians used each of the MI constructs and the proportion of encounters per physician that had high satisfaction and/or autonomy. Separate models for each of the five MI techniques were fit to examine the association between use of the MI technique with patient satisfaction and autonomy support.

For these models, PROC GENMOD was used to fit a generalized estimating equation model with a logit link25 adjusting for physician clustering. Because of limited variability in both binary autonomy and satisfaction outcomes, we were limited in the number of variables we could include in our models.26 Models for perceived autonomy included covariates that were defined a priori at the patient level (eg, age, sex, race) as described above, and no covariates were included in models for patient satisfaction.

Results

Sample Characteristics

The sample of patients was predominantly white, female, and highly educated (Table 1). Mean age of patients was 59.8 years. Patients had high levels of chronic disease, including hypertension, hyperlipidemia, and diabetes. They were somewhat motivated to lose weight and were moderately confident they could lose weight. Many physicians were white and women. The mean age of physicians was 47.3 years. Physicians were highly confident they could address weight with patients but also reported many barriers that would inhibit adequate discussions. Patients initiated the weight-related discussions 64% of time.

Table 1.

Patient and Visit Characteristics for Patients in Weight-Related Discussions* (n = 320)

Patient characteristics
    Baseline weight, kg (mean [SD]) 93.9 (21.2)
    Obese (BMI ≥30) 61 (194)
    Race
        White/Asian 61 (196)
        African American 39 (124)
    Male 34 (108)
    Age, years (mean [SD]) 58.4 (13.3)
    >High school education (missing 1) 68 (217)
    Economic security: can pay bills easily (missing 11) 88 (272)
    Medical history
        Diabetes 33 (104)
        Hypertension 68 (217)
        Hyperlipidemia (missing 1) 56(180)
        Arthritis 43 (136)
    Weight loss
        Very motivated to lose weight versus somewhat to not at all 58 (184)
        Very confident can lose weight versus somewhat to not at all confident§ 36 (115)
        Very comfortable discussing weight with physician versus somewhat to not at all 73 (234)
        Tried to lose weight during past month 49 (158)
Visit factors (n = 320)
    Total patient-medical personnel in-room time, min (mean [SD]) 25.9 (10.2)
    Total time spent discussing weight, min (mean [SD]) 4.2 (3.4)
    Who initiated the weight discussion?
        Physician 36 (115)
        Patient 64 (205)
        Weight not discussed 0 (0)
    Type of encounter (missing 2)
        Preventive 39 (123)
        Chronic care 61 (195)
    Explicit weight discussion 76 (242)

Values provided as % (n) unless otherwise indicated.

*

Patients were considered “counseled” when physicians used motivational interviewing techniques when discussing weight.

Missing data at baseline (counseled sample).

Motivation to lose weight/address weight (1 = not at all, 7 = very much).

§

Self-efficacy to lose weight/address weight (1 = not at all confident, 5 = very confident).

Comfort discussing weight (1 = not at all comfortable, 5 = very comfortable).

BMI, body mass index.

MI Techniques and Satisfaction and Autonomy Outcomes

Physicians had low use of MI spirit and empathy overall, but their use of empathy was variable. Physicians who were rated as empathic in at least one of the encounters were rated as empathic in less than 50% of all their encounters. Physicians used open questions or reflections in only 30% to 40% of their encounters (see Figure 1). There was a wide range of use of any MI-consistent behaviors. The percentage of physician encounters with any MI-inconsistent behaviors ranged from 40% to 100% (ie, some physicians used the behaviors in all of their encounters).

Figure 1.

Figure 1

Recruitment/participant flow. *Because there were many appointments from which to select, we assigned each appointment a random number and randomly selected which appointments to attempt to audio record.

Few patients rated their physicians as excellent (11%). No physician had more than 60% of patient encounters rated as excellent (see Figure 2). Fewer than half of patients (38%) felt high support for patient autonomy. For physicians, there was a wide range in the percentage of the 11 to 13 encounters in which patients rated the physician as high support for autonomy (0% to 86%; Figure 2).

Figure 2.

Figure 2

Proportion of motivational interviewing (MI) techniques during physician encounters.

Relationship of Patient Factors and Patient Perceptions

Of all the patient covariates, only patient confidence and comfort were related to autonomy support. Patients who were more confident they could lose weight were more likely to report high autonomy support than patients who were less confident (50% vs 32%; P = .003; Table 2). The same was true for patient comfort level; patients who were more comfortable discussing weight were more likely to report high autonomy support than patients who were less comfortable (44% vs 21%; P = .002).

Table 2.

Patient Characteristics and Satisfaction and Autonomy Support

Patient Characteristics Total (n) Excellent Satisfaction High Perceived Autonomy Support
Weight
    Obese (BMI ≥30) 194 11 (22) 36 (69)
    Not obese (BMI <30) 126 13 (16) 42 (53)
Race
    White/Asian 196 12 (23) 38 (74)
    African American 124 12 (15) 39 (48)
Sex
    Male 108 8 (9) 32 (35)
    Female 212 14 (29) 41 (87)
Age, years* (mean [SD]) 320 55.4 (13.1) 59.6 (13.2)
Education (missing 1)
    >High School 217 13 (29) 35 (76)
    ≤High School 102 9 (9) 45 (46)
Economic security (missing 11)
    Cannot pay bills easily 37 14(5) 38 (14)
    Can pay bills easily 272 12 (32) 38 (103)
Medical history
    Diabetes 104 10 (10) 34(35)
    Hypertension 217 11 (24) 40 (86)
    Hyperlipidemia (missing 1) 180 13 (24) 41 (73)
    Arthritis 136 11 (15) 43 (59)
Motivated to lose weight
    Very motivated 184 15 (27) 42 (77)
    Somewhat to not at all 136 8 (11) 33 (45)
Confident can lose weight
    Very confident 115 17 (19) 50 (57)
    Somewhat to not at all 205 9 (19) 32 (65)
Comfortable discussing weight with physician
    Very comfortable 234 15 (35) 44 (104)
    Somewhat to not at all 86 4 (3) 21 (18)
Tried to lose weight in past month
    Yes 158 11 (17) 42 (66)
    No 162 13 (21) 35 (56)

Values provided as % (n) unless otherwise indicated.

*

Mean (SD) for excellent satisfaction and very high perceived autonomy support.

BMI, body mass index.

Relationship between MI Techniques and Patient Perceptions

In models for patient satisfaction, patients whose physicians were rated higher in empathy (empathy >1) were more likely to report high satisfaction than patients whose physicians were rated as lower in empathy (27% vs 11% were very satisfied for empathy >1 and empathy = 1, respectively; Table 3). In adjusted analyses, patients in encounters in which physicians made reflective statements had a higher rate of autonomy support than those whose physicians did not (46% vs 30% felt high autonomy support for any reflections compared with no reflections; P = .006). No other relationships were found between MI scores and satisfaction and autonomy support.

Table 3.

Physician Communication and Satisfaction and Perceived Autonomy Support

Model Total (n) Excellent satisfaction* (% [95% CI]) Total (n) High perceived autonomy support (% [95% CI])
MI spirit
    >1 37 9 (3–23) 36 28 (15–46)
    1 283 12 (8–17) 272 37 (30–43)
Empathy
    >1 18 27 (14–48) 17 48 (29–68)
    1 302 11 (8–15) 291 35 (29–42)
Reflections
    Yes 122 9(5–15) 118 46 (36–57)
    No 198 14 (10–20) 190 30 (24–37)
Open questions
    Yes 121 10 (5–19) 115 38 (26–50)
    No 199 13 (9–19) 193 35 (28–42)
MI behaviors
    Any MI adherent 157 11 (7–16) 152 34 (26–42)
    No MI adherent 163 13 (8–20) 156 38 (30–47)
    Any MI nonadherent 263 11 (7–16) 256 37 (30–44)
    No MI nonadherent 57 16(8–30) 52 31 (21–43)

MI, motivational interviewing.

Bold indicates statistical significance.

Discussion

There are two main findings in our study. First, despite low overall use of MI techniques, when physicians were more empathic, patients were more satisfied; when physicians used reflective statements, a higher proportion of patients felt high autonomy support. Second, patients’ confidence in their ability to lose weight and their comfort discussing weight loss were related to satisfaction and autonomy support.

Physician behavior was related to patients’ ratings of satisfaction and perceived autonomy. When physicians were rated as more empathic by independent coders, patients reported a higher rate of “excellent” satisfaction than when physicians were rated as less empathic. Because empathy is defined as physicians understanding patients’ perspectives, this might make patients feel more understood, and thus more satisfied. In our previous work, empathy in patient-physician encounters was associated with patient behavior change.10,27 Furthermore, another study showed that when physicians expressed compassion for as few as 40 seconds, patients felt better and less anxious.28

When physicians made reflective statements, patients perceived the highest level of autonomy support. One of the main purposes of reflective statements is to share the “conversational floor.” When physicians make reflections rather than ask questions, they let patients direct the conversation more than when they only ask questions. An example is if the physician asks, “So, you are disappointed you did not lose weight?” The patient can answer, “Yes,” and then the physician is expected to lead the conversation again. In contrast, if the physician says, “It really can be hard to lose weight,” the patient is then expected to comment on that statement rather than answer a yes/no question. The patient likely will talk about how hard it has been and possibly about his or her reasons for wanting to lose weight. This might make the patient feel more empowered, more of a partner, and more autonomous than when the physician just asked questions.

Differences in autonomy support were related to some patient factors. Patients who were more confident they could lose weight and were more comfortable talking about weight were more likely to feel that physicians fully supported their autonomy than patients who were less confident and less comfortable. It could be that confident and comfortable patients presented themselves to physicians as more independent; physicians then read these cues and treated them as more independent. It also could be that, regardless of physician behavior, patients who were more confident and comfortable viewed their physician as treating them autonomously.

These results are limited by a moderately high refusal rate among patients, which limits general-izability. Also, the low variability in the outcomes limited some of the analyses. Finally, these analyses were conducted with well-educated overweight and obese patients discussing weight, which might not generalize to other populations; however, with more than 60% of Americans being overweight or obese, the results should be generalizable to a large proportion of overweight and obese Americans. One strength is that neither patients nor physicians knew the study was about weight or specifically about using MI techniques during weight loss counseling. Finally, we used a large dataset of typical primary care patients.

Conclusion

In this sample of overweight and obese primary care patients, physician use of MI techniques improves both outcomes and important patient perceptions. Increasing physician empathy and number of reflective statements could improve the clinical encounter and patients’ adherence to recommendations.

Acknowledgments

Funding: This work was supported by grants R01CA114392, R01HL092403, R01DK64986, and R01DK075439. Support was provided by Health Services Research Career Development Award RCD 07-006 from the Department of Veterans Affairs (SCA).

Footnotes

Conflict of interest: none declared.

References

  • 1.Michie S, Miles J, Weinman J. Patient-centeredness in chronic illness: what is it and does it matter? Patient Educ Couns. 2003;51:197–206. doi: 10.1016/s0738-3991(02)00194-5. [DOI] [PubMed] [Google Scholar]
  • 2.Stewart MA. Effective physician-patient communication and health outcomes: a review. Can Med Assoc J. 1995;152:1423–33. [PMC free article] [PubMed] [Google Scholar]
  • 3.Levinson W, Roter DL, Mullooly JP, Dull VT, Frankel RM. Physician-patient communication. The relationship with malpractice claims among primary care physicians and surgeons. JAMA. 1997;277:553–9. doi: 10.1001/jama.277.7.553. [DOI] [PubMed] [Google Scholar]
  • 4.Forman-Hoffman V, Little A, Wahls T. Barriers to obesity management: a pilot study of primary care clinicians. BMC Fam Pract. 2006;7:35. doi: 10.1186/1471-2296-7-35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Alexander SC, Ostbye T, Pollak KI, Gradison M, Bastian LA, Brouwer RJ. Physicians’ beliefs about discussing obesity: results from focus groups. Am J Health Promot. 2007;21:498–500. doi: 10.4278/0890-1171-21.6.498. [DOI] [PubMed] [Google Scholar]
  • 6.Miller WR, Rollnick S. Motivational Interviewing: Preparing People for Change. 2nd ed. Guilford Press; New York, NY: 2002. [Google Scholar]
  • 7.Emmons KM, Rollnick S. Motivational interviewing in health care settings: opportunities and limitations. Am J Prev Med. 2001;20:68–74. doi: 10.1016/s0749-3797(00)00254-3. [DOI] [PubMed] [Google Scholar]
  • 8.Galuska DA, Will JC, Serdula MK, Ford ES. Are health care professionals advising obese patients to lose weight? JAMA. 1999;282:1576–8. doi: 10.1001/jama.282.16.1576. [DOI] [PubMed] [Google Scholar]
  • 9.Rodondi N, Humair J-P, Ghali WA, et al. Counseling overweight and obese patients in primary care: a prospective cohort study. Eur J Cardiovasc Prev Rehabil. 2006;13:222–8. doi: 10.1097/01.hjr.0000209819.13196.a4. [DOI] [PubMed] [Google Scholar]
  • 10.Pollak KI, Ostbye T, Alexander SC, et al. Empathy goes a long way in weight loss discussions. J Fam Pract. 2007;56:1031–6. [PubMed] [Google Scholar]
  • 11.Loureiro ML, Nayga RM., Jr Obesity, weight loss, and physician's advice. Soc Sci Med. 2006;62:2458–68. doi: 10.1016/j.socscimed.2005.11.011. [DOI] [PubMed] [Google Scholar]
  • 12.Pollak KI, Alexander SC, Coffman CJ, et al. Physician communication techniques and weight loss in adults: Project CHAT. Am J Prev Med. 2010;39:321–8. doi: 10.1016/j.amepre.2010.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Schwartz RP, Hamre R, Dietz WH, et al. Office-based motivational interviewing to prevent childhood obesity: a feasibility study. Arch Pediatr Adolesc Med. 2007;161:495–501. doi: 10.1001/archpedi.161.5.495. [DOI] [PubMed] [Google Scholar]
  • 14.Markland D, Ryan RM, Tobin VJ, Rollnick S. Motivational interviewing and self-determination theory. J Soc Clin Psychol. 2005;24:811–31. [Google Scholar]
  • 15.Vansteenkiste M, Sheldon KM. There's nothing more practical than a good theory: integrating motivational interviewing and self-determination theory. Br J Clin Psychol. 2006;45:63–82. doi: 10.1348/014466505X34192. [DOI] [PubMed] [Google Scholar]
  • 16.Moyers TB, Martin T, Manuel JK, Hendrickson SM, Miller WR. Assessing competence in the use of motivational interviewing. J Subst Abuse Treat. 2005;28:19–26. doi: 10.1016/j.jsat.2004.11.001. [DOI] [PubMed] [Google Scholar]
  • 17.Thyrian JR, Freyer-Adam J, Hannover W, et al. Adherence to the principles of Motivational Interviewing, clients’ characteristics and behavior outcome in a smoking cessation and relapse prevention trial in women postpartum. Addict Behav. 2007;32:2297–303. doi: 10.1016/j.addbeh.2007.01.024. [DOI] [PubMed] [Google Scholar]
  • 18.Pierson HM, Hayes SC, Gifford EV, et al. An examination of the Motivational Interviewing Treat ment Integrity code. J Subst Abuse Treat. 2007;32:11–7. doi: 10.1016/j.jsat.2006.07.001. [DOI] [PubMed] [Google Scholar]
  • 19.Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86:420–8. doi: 10.1037//0033-2909.86.2.420. [DOI] [PubMed] [Google Scholar]
  • 20.Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86:420–8. doi: 10.1037//0033-2909.86.2.420. [DOI] [PubMed] [Google Scholar]
  • 21.Rubin HR, Gandek B, Rogers WH, Kosinski M, McHorney CA, Ware JE., Jr Patients’ ratings of outpatient visits in different practice settings. Results from the Medical Outcomes Study. JAMA. 1993;270:835–40. [PubMed] [Google Scholar]
  • 22.Makoul G, Krupat E, Chang CH. Measuring patient views of physician communication skills: development and testing of the Communication Assessment Tool. Patient Educ Couns. 2007;67:333–42. doi: 10.1016/j.pec.2007.05.005. [DOI] [PubMed] [Google Scholar]
  • 23.Williams GC, Grow VM, Freedman ZR, Ryan RM, Deci EL. Motivational predictors of weight loss and weight-loss maintenance. J Pers Soc Psychol. 1996;70(1):115–26. doi: 10.1037//0022-3514.70.1.115. [DOI] [PubMed] [Google Scholar]
  • 24.Streiner DL. Learning how to differ: agreement and reliability statistics in psychiatry. Can J Psychiatry. 1995;40:60–6. [PubMed] [Google Scholar]
  • 25.Diggle PJ, Heagerty P, Liang K-Y, Zeger SL. Analysis of Longitudinal Data. Oxford University Press; New York: 2002. [Google Scholar]
  • 26.Harrell FE. Regression Modeling Strategies with Applications to Linear Models, Logistic Regression, and Survival Analysis. Springer-Verlag; New York, NY: 2001. [Google Scholar]
  • 27.Cox ME, Yancy WS, Jr, Coffman CJ, et al. Effects of counseling techniques on patients’ weight-related attitudes and behaviors in a primary care clinic. Patient Educ Couns. 2011 Feb 11; doi: 10.1016/j.pec.2011.01.024. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Fogarty LA, Curbow BA, Wingard JR, McDonnell K, Somerfield MR. Can 40 seconds of compassion reduce patient anxiety? J Clin Oncol. 1999;17:371–9. doi: 10.1200/JCO.1999.17.1.371. [DOI] [PubMed] [Google Scholar]

RESOURCES