International Journal for Quality in Health Care 13:385-390 (2001)
© 2001 International Society for Quality in Health Care
Patient satisfaction in relation to age, health status and other background factors: a model for comparisons of care units
Center for Medical Technology Assessment (CMT), Faculty of Health Sciences, Linköping University, SE-581 83 Linköping, Sweden. E-mail: mikra@cmt.liu.se
Objective. To analyse the relationship between patient satisfaction and background factors such as age, gender, health status and pain. In addition, to use background factors to create less biased ranking in comparisons of patient satisfaction between medical specialities.
Design. A questionnaire was sent by post to patients who had recently received inpatient care at a hospital within the County of Östergötland, Sweden. The questionnaire contained 33 questions, 21 of which concerned the quality of health care and patient satisfaction.
Setting. Inpatient departments at all four hospitals in the County of Östergötland, Sweden.
Subjects. All patients discharged from the hospital during a period of 6 weeks. Approximately 3400 patients aged 1–94 years responded to the questionnaire, resulting in a response rate of 69%.
Main outcome measures. Patient satisfaction index score (PSI).
Results. Of the background factors tested, patient age had the greatest explanatory value regarding the PSI, closely followed by experiencing anxiety during admission. With regard to variations in the PSI, about 20% could be explained by the background factors taken as a whole. Gender did not correlate with the PSI, although males were somewhat more satisfied than females. PSI scores differed among medical specialities and, interestingly, when age and other background factors were controlled for, the picture changed regarding the medical speciality that received the best PSI score.
Conclusion. The change in ranking among medical specialities after adjustment for background factors emphasizes the importance of including background factors in patient satisfaction analyses in order to obtain less biased comparisons.
Keywords: age, determinants, health, inpatient care, patient satisfaction, quality of health care
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