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Factors determining inpatient satisfaction with care
Phi Linh Nguyen Thi1, S Briançon, F Empereur
1Ho Chi Minh City Health Services, Viet Nam. philinh@hotmail.com
Social Science & Medicine (1982)
|February 19, 2002
Summary
Older age and better self-perceived health at admission significantly predict higher inpatient satisfaction. Men also reported greater satisfaction. These findings aid in understanding patient experiences and improving care quality.
Area of Science:
- Health Services Research
- Patient Experience Research
- Quality Improvement in Healthcare
Background:
- Patient satisfaction is a critical indicator of healthcare quality.
- Understanding factors influencing satisfaction is essential for targeted quality improvement initiatives.
- Previous research highlights various demographic and clinical factors, but comprehensive analysis across multiple care dimensions is needed.
Purpose of the Study:
- To identify sociodemographic, health, and hospital stay characteristics associated with inpatient satisfaction.
- To analyze predictors of satisfaction across seven key dimensions of hospital care.
- To provide insights for interpreting patient satisfaction scores and enhancing care quality programs.
Main Methods:
- A cross-sectional study involving 533 inpatients discharged from medical and surgical services.
- Utilized the Patient Judgments Hospital Quality questionnaire two weeks post-discharge.
- Employed multivariate logistic regression analyses to identify significant predictors of patient satisfaction.
Main Results:
- Older age and better self-perceived health status at admission were the strongest predictors of overall satisfaction.
- Male patients reported higher satisfaction compared to female patients.
- Specific factors like marital status, functional status (Karnofsky index), admission type, hospital choice, and room type influenced satisfaction across different dimensions.
Conclusions:
- Patient satisfaction is multifactorial, influenced by patient characteristics and healthcare service delivery.
- Identifying key predictors allows for targeted interventions to improve patient experience and satisfaction.
- Findings support the use of patient satisfaction data for comparative analysis and quality improvement efforts.