Journal Article

Assessing the relationship between patient satisfaction and clinical quality in an ambulatory setting

Bosko, Tawnya, Wilson, Kathryn

2016

Overview

Purpose The purpose of this paper is to assess the relationship between patient satisfaction and a variety of clinical quality measures in an ambulatory setting to determine if there is significant overlap between patient satisfaction and clinical quality or if they are separate domains of overall physician quality. Assessing this relationship will help to determine whether there is congruence between different types of clinical quality performance and patient satisfaction and therefore provide insight to appropriate financial structures for physicians. Design/methodology/approach Ordered probit regression analysis is conducted with overall rating of physician from patient satisfaction responses to the Clinician and Groups Consumer Assessment of Healthcare Providers and Systems survey as the dependent variable. Physician clinical quality is measured across five composite groups based on 26 Healthcare Effectiveness Data and Information Set (HEDIS) measures aggregated from patient electronic health records. Physician and patient demographic variables are also included in the model. Findings Better physician performance on HEDIS measures are correlated with increases in patient satisfaction for three composite measures: antibiotics, generics, and vaccination; it has no relationship for chronic conditions and is correlated with decrease in patient satisfaction for preventative measures, although the negative relationship for preventative measures is not robust in sensitivity analysis. In addition, younger physicians and male physicians have higher satisfaction scores even with the HEDIS quality measures in the regression. Research limitations/implications There are four primary limitations to this study. First, the data for the study come from a single hospital provider organization. Second, the survey response rate for the satisfaction measure is low. Third, the physician clinical quality measure is the percent of the physician’s relevant patient population that met the HEDIS measure rather than if the measure was met for the individual patient. Finally, it is not possible to distinguish if the significant coefficient estimates on the physician age and gender variables are capturing systematic differences in physician behavior or capturing patient bias. Practical implications The results suggest patient satisfaction and physician clinical quality may be complementary, capturing similar aspects of overall physician quality, across some clinical quality measures but for other measures satisfaction and clinical quality are unrelated or negatively related. Therefore, for some clinical quality metrics, it will be important to separately compensate clinical quality and satisfaction and understand the relationship between metrics. Finally, the strong relationship between the level of patient satisfaction and physician age, physician gender, and patient age are important to consider when designing a physician compensation package based on patient satisfaction; if these differences reflect patient bias they could increase inequality among medical staff if compensation is based on patient satisfaction. Originality/value This study is the first to use physician organization data to examine patient satisfaction and physician performance on a variety of HEDIS quality metrics.

• Publisher: Emerald Group Publishing Limited
• Subject: Age / Aggregate data / Ambulatory care / Ambulatory Care - standards / Antibiotics / Bias / Chronic illnesses / Client satisfaction / Compensation / Computerized medical records / Congruence / Demographics / Demography / Expenditures / Female / Gender / Health care / Health care industry / Health care management / Health records / Health services / Health Services Research / Humans / Immunization / Inequality / Male / Measures / Medical records / Ohio / Organizational effectiveness / Patient Satisfaction / Patients / Physician-Patient Relations / Physicians / Polls & surveys / Practitioner patient relationship / Quality Indicators, Health Care / Quality of care / Quality of service / Reimbursement / Response rates / Responses / Satisfaction / Sensitivity analysis / Variables