Primary care patient satisfaction segmentation

Abstract

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 had higher 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.

Citation

Qu, H., Platonova, E.A., Norman Kennedy, K. and Shewchuk, R.M. (2011), "Primary care patient satisfaction segmentation", International Journal of Health Care Quality Assurance, Vol. 24 No. 7, pp. 564-576. https://doi.org/10.1108/09526861111160599