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Patient satisfaction and its socio-demographic correlates in a tertiary public hospital in Nepal: a cross-sectional study
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Patient satisfaction and its socio-demographic correlates in a tertiary public hospital in Nepal: a cross-sectional study
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Patient satisfaction and its socio-demographic correlates in a tertiary public hospital in Nepal: a cross-sectional study
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Journal Article
Patient satisfaction and its socio-demographic correlates in a tertiary public hospital in Nepal: a cross-sectional study
2021
Overview
Background
Patient satisfaction is one proxy indicator of the health care quality; however, enhancing patient satisfaction in low-income settings is very challenging due to the inadequacy of resources as well as low health literacy among patients. In this study, we assess patient satisfaction and its correlates in a tertiary public hospital in Nepal.
Methods
We conducted a cross sectional study at outpatient department of Bhaktapur Hospital of Nepal. To recruit participants for the study, we applied a systematic random sampling method. Our study used a validated Patient Satisfaction Questionnaire III (PSQ-III) developed by RAND Corporation including various contextual socio-demographic characteristics. We calculated mean score and percentages of satisfaction across seven dimensions of patient satisfaction. To determine the association between various dimensions of patient satisfaction and socio-demographic characteristics of the patient, we used a multi-ordinal logistic regression.
Results
Among 204 patients, we observed a wide variation in patient satisfaction across seven dimensions. About 39% of patients were satisfied in the dimension of general satisfaction, 92% in interpersonal manner, and 45% in accessibility and convenience. Sociodemographic factors such as age (AOR: 6.42; CI: 1.30–35.05), gender (AOR: 2.81; CI: 1.41–5.74), and ethnicity (AOR: 0.26; CI: 0.08–0.77) were associated with general satisfaction of the patients. Other sociodemographic variables such as education, occupation, and religion were associated with a majority of the dimensions of patient satisfaction (
p
< 0.05). Age was found to be the strongest predictor of patient satisfaction in five out of seven dimensions.
Conclusions
We concluded that patient satisfaction varies across different dimensions. Therefore, targeted interventions that direct to improve the dimensions of patient satisfaction where the proportion of satisfaction is low are needed. Similar studies should be conducted regularly at different levels of health facilities across the country to capture a wider picture of patient satisfaction at various levels.
