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      Physician Empathy Is Not Associated with Laboratory Outcomes in Diabetes: a Cross-sectional Study

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          Abstract

          Background

          One widely cited study suggested a link between physician empathy and laboratory outcomes in patients with diabetes, but its findings have not been replicated. While empathy has a positive impact on patient experience, its impact on other outcomes remains unclear.

          Objective

          To assess associations between physician empathy and glycosylated hemoglobin (HgbA1c) as well as low-density lipoprotein (LDL) levels in patients with diabetes.

          Design

          Retrospective cross-sectional study.

          Participants

          Patients with diabetes who received care at a large integrated health system in the USA between January 1, 2011, and May 31, 2014, and their primary care physicians.

          Main Measures

          The main independent measure was physician empathy, as measured by the Jefferson Scale of Empathy (JSE). The JSE is scored on a scale of 20–140, with higher scores indicating greater empathy. Dependent measures included patient HgbA1c and LDL. Mixed-effects linear regression models adjusting for patient sociodemographic characteristics, comorbidity index, and physician characteristics were used to assess the association between physician JSE scores and their patients’ HgbA1c and LDL.

          Key Results

          The sample included 4176 primary care patients who received care with one of 51 primary care physicians. Mean physician JSE score was 118.4 (standard deviation (SD) = 12). Median patient HgbA1c was 6.7% (interquartile range (IQR) = 6.2–7.5) and median LDL concentration was 83 (IQR = 66–104). In adjusted analyses, there was no association between JSE scores and HgbA1c ( β = − 0.01, 95%CI = − 0.04, 0.02, p = 0.47) or LDL ( β = 0.41, 95%CI = − 0.47, 1.29, p = 0.35).

          Conclusion

          Physician empathy was not associated with HgbA1c or LDL. While interventions to increase physician empathy may result in more patient-centered care, they may not improve clinical outcomes in patients with diabetes.

          Related collections

          Most cited references32

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          How does communication heal? Pathways linking clinician-patient communication to health outcomes.

          Although prior research indicates that features of clinician-patient communication can predict health outcomes weeks and months after the consultation, the mechanisms accounting for these findings are poorly understood. While talk itself can be therapeutic (e.g., lessening the patient's anxiety, providing comfort), more often clinician-patient communication influences health outcomes via a more indirect route. Proximal outcomes of the interaction include patient understanding, trust, and clinician-patient agreement. These affect intermediate outcomes (e.g., increased adherence, better self-care skills) which, in turn, affect health and well-being. Seven pathways through which communication can lead to better health include increased access to care, greater patient knowledge and shared understanding, higher quality medical decisions, enhanced therapeutic alliances, increased social support, patient agency and empowerment, and better management of emotions. Future research should hypothesize pathways connecting communication to health outcomes and select measures specific to that pathway. Clinicians and patients should maximize the therapeutic effects of communication by explicitly orienting communication to achieve intermediate outcomes (e.g., trust, mutual understanding, adherence, social support, self-efficacy) associated with improved health.
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            Race, gender, and partnership in the patient-physician relationship.

            Many studies have documented race and gender differences in health care received by patients. However, few studies have related differences in the quality of interpersonal care to patient and physician race and gender. To describe how the race/ethnicity and gender of patients and physicians are associated with physicians' participatory decision-making (PDM) styles. Telephone survey conducted between November 1996 and June 1998 of 1816 adults aged 18 to 65 years (mean age, 41 years) who had recently attended 1 of 32 primary care practices associated with a large mixed-model managed care organization in an urban setting. Sixty-six percent of patients surveyed were female, 43% were white, and 45% were African American. The physician sample (n = 64) was 63% male, with 56% white, and 25% African American. Patients' ratings of their physicians' PDM style on a 100-point scale. African American patients rated their visits as significantly less participatory than whites in models adjusting for patient age, gender, education, marital status, health status, and length of the patient-physician relationship (mean [SE] PDM score, 58.0 [1.2] vs 60.6 [3.3]; P = .03). Ratings of minority and white physicians did not differ with respect to PDM style (adjusted mean [SE] PDM score for African Americans, 59.2 [1.7] vs whites, 61.7 [3.1]; P = .13). Patients in race-concordant relationships with their physicians rated their visits as significantly more participatory than patients in race-discordant relationships (difference [SE], 2.6 [1.1]; P = .02). Patients of female physicians had more participatory visits (adjusted mean [SE] PDM score for female, 62.4 [1.3] vs male, 59.5 [3.1]; P = .03), but gender concordance between physicians and patients was not significantly related to PDM score (unadjusted mean [SE] PDM score, 76.0 [1.0] for concordant vs 74.5 [0.9] for discordant; P = .12). Patient satisfaction was highly associated with PDM score within all race/ethnicity groups. Our data suggest that African American patients rate their visits with physicians as less participatory than whites. However, patients seeing physicians of their own race rate their physicians' decision-making styles as more participatory. Improving cross-cultural communication between primary care physicians and patients and providing patients with access to a diverse group of physicians may lead to more patient involvement in care, higher levels of patient satisfaction, and better health outcomes.
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              The global economic burden of diabetes in adults aged 20-79 years: a cost-of-illness study.

              Differences in methods and data used in past studies have limited comparisons of the cost of illness of diabetes across countries. We estimate the full global economic burden of diabetes in adults aged 20-79 years in 2015, using a unified framework across all countries. Our objective was to highlight patterns of diabetes-associated costs as well as to identify the need for further research in low-income regions.
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                Author and article information

                Contributors
                chaitoa@ccf.org
                Journal
                J Gen Intern Med
                J Gen Intern Med
                Journal of General Internal Medicine
                Springer US (New York )
                0884-8734
                1525-1497
                7 November 2018
                January 2019
                : 34
                : 1
                : 75-81
                Affiliations
                [1 ] ISNI 0000 0004 0435 0569, GRID grid.254293.b, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, ; Cleveland, OH USA
                [2 ] ISNI 0000 0001 0675 4725, GRID grid.239578.2, Center for Value-Based Care Research, , Cleveland Clinic, ; Cleveland, OH USA
                [3 ] ISNI 0000 0001 0675 4725, GRID grid.239578.2, Office of Patient Experience, Center for Excellence in Healthcare Communication, , Cleveland Clinic, ; Cleveland, OH USA
                [4 ] ISNI 0000 0001 0675 4725, GRID grid.239578.2, Clinical Immunology, , Cleveland Clinic, ; Cleveland, OH USA
                Article
                PMC6318196 PMC6318196 6318196 4731
                10.1007/s11606-018-4731-0
                6318196
                30406569
                4001182e-d04b-4d13-bd8b-cf9cd38aef90
                © Society of General Internal Medicine 2018
                History
                : 9 May 2018
                : 3 October 2018
                : 26 October 2018
                Categories
                Original Research
                Custom metadata
                © Society of General Internal Medicine 2019

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