The development and validation of the primary care satisfaction survey for women.
Assessing patient satisfaction with health care is becoming an integral component of quality monitoring in health care systems, but existing tools typically were developed to minimize differences related to gender. This paper reports the development and psychometric properties of a new survey instrument to measure women's satisfaction with their primary care. A multisite, cross-sectional validation survey of 1,202 women receiving care in primary care settings in Michigan, North Carolina, and Pennsylvania was conducted. Item response theory (IRT) and factor analysis methods were used to identify three scales in the Primary Care Satisfaction Survey for Women (PCSSW): Communication, Administration and Office Procedures, and Care Coordination and Comprehensiveness. Internal consistency reliability is reported, as well as convergent validity in relation to two generic measures (Medical Outcomes Study [MOS] Visit Satisfaction and Consumer Assessment of Health Plans Survey [CAHPS] overall quality rating); discriminant validity in relation to groups expected to have differing satisfaction levels based on previous literature; predictive validity in relation to behavioral intentions; and explanatory power in overall satisfaction ratings. The 24-item PCSSW may be self-administered or conducted by telephone and may be used in studies to evaluate or improve the quality of primary care for women.
Scholle
Sarah Hudson
SH
Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. scholle@ncqa.org
Weisman
Carol S
CS
Anderson
Roger T
RT
Camacho
Fabian
F
D000328:Adult; D000368:Aged; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008824:Michigan; D008875:Middle Aged; D009657:North Carolina; D009819:Office Visits / Q000706:statistics & numerical data; D017060:Patient Satisfaction / Q000706:statistics & numerical data*; D010414:Pennsylvania; D011320:Primary Health Care / Q000592:standards* / Q000706:statistics & numerical data; D011785:Quality Assurance, Health Care; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires / Q000592:standards*; D013997:Time Factors; D016387:Women's Health