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Published on: February 16, 2011
Primary care patient satisfaction segmentation
Haiyan Qu1, Elena A Platonova, Karen Norman Kennedy
1Department of Health Services Administration, School of Health Professions, University of Alabama, Birmingham, Alabama, USA.
Purpose:
The aim of this study is to examine patient satisfaction with non-physician staff as related to patient demographics, satisfaction with physician, and intentions to recommend their physicians to others.
Design/Methodology/Approach:
A survey was conducted at two internal medicine primary care clinics affiliated with a major university health system. A latent class analysis was used to detect patient subpopulations based on profiles of response for five satisfaction-with-staff indicators.
Findings:
The response rate was 86.46 percent (479 of 554). Analyses revealed four patient subpopulation segments. Segment I (n = 241) patients uniformly indicated a high level of satisfaction across the five satisfaction-with-staff indicators. These patients tended to be older and less educated, and have lower incomes relative to patients in other segments. Patients in Segment II (n = 83) expressed satisfaction with staff caring and need accommodation, but dissatisfaction with access to their physicians. Patients in Segment III (n = 51) indicated high levels of satisfaction with access and low levels of satisfaction with staff caring and need accommodation. Segment IV (n = 104) patients uniformly expressed low levels of satisfaction across all indicators and generally were younger and more educated, as well as hadhigher incomes than other patients.
Originality/Value:
Patients have different expectations from their non-physician staff, e.g. younger, more affluent, and educated patients expressed dissatisfaction with staff. This suggests that non-physician staff should provide extra/further responsiveness to have these patients' needs met. Generally, approaches that are differentially targeted to specific patient subgroups are likely to be more efficient and patient-oriented than undifferentiated approaches.
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