1. Patient satisfaction and their determinants in outpatient department of a tertiary public hospital in Nepal: a cross-sectional study.
- Author
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Bhatt, Laxman Datt, Ghimire, Sandhaya, and Khanal, Kabita
- Subjects
MEDICAL quality control ,HEALTH services accessibility ,CROSS-sectional method ,AGE distribution ,TIME ,RESEARCH methodology ,PATIENT satisfaction ,TERTIARY care ,INTERVIEWING ,PATIENTS' attitudes ,INCOME ,PUBLIC hospitals ,INTERPERSONAL relations ,EMPLOYMENT ,HEALTH insurance ,QUESTIONNAIRES ,DESCRIPTIVE statistics ,STATISTICAL sampling ,LOGISTIC regression analysis ,SOCIODEMOGRAPHIC factors ,RESIDENTIAL patterns ,DATA analysis software ,OUTPATIENT services in hospitals ,PSYCHIATRIC hospitals - Abstract
Background: Patient satisfaction is a vital metric for assessing healthcare quality and delivering patient-centered care. It can predict service utilization patterns by determining healthcare users' contentment with their providers. Consequently, evaluating patient satisfaction and its underlying factors is crucial to maintaining the quality of healthcare services. The present study aimed to assess patient satisfaction and its determinants in a tertiary care public hospital in Nepal. In this research, a cross-sectional design was employed to examine patient satisfaction within the Outpatient Department of Mental Hospital Lagankhel, Nepal. The study adopted a systematic random sampling approach for respondent selection, and stringent measures were implemented to uphold the validity and reliability of the collected data. To assess patient satisfaction comprehensively, the Patient Satisfaction Questionnaire-III (PSQ-III), developed by the RAND Corporation, was employed in conjunction with relevant sociodemographic variables. Utilizing mean scores and percentages, we calculated satisfaction levels across various dimensions. Additionally, a multinomial logistic regression analysis was conducted to investigate the relationships between patient satisfaction dimensions and sociodemographic characteristics. Results: This study encompassed perspective of 206 participants, with 57.3% representing patient relatives and 51% being male, median age of 32 years (standard deviation: 12.53). Notably, patients reported higher levels of satisfaction, particularly within the interpersonal relationship dimension, while the technical quality domain received comparatively lower satisfaction ratings. Multinomial logistic regression analysis underscored the significance of sociodemographic factors in shaping patient satisfaction, with age (p = 0.008), type of residence (p = 0.001), occupation (p = 0.0019), income status (p = 0.014), time to reach the healthcare facility (p = 0.013), and insurance enrollment status (p = 0.017) all demonstrating significant associations. These findings illuminate the intricate qualities of patient satisfaction within our healthcare context, offering actionable insights for enhancement and guiding the trajectory of future research endeavors. Conclusions: Overall patient expressed satisfaction with service provided by tertiary care hospital, however continuous improvement remains essential. Conducting large-scale, nationwide studies across hospital tiers is vital. This data-driven approach empowers policymakers to allocate resources effectively, inform decision-making, and enact policies that exceed patient expectations, fostering a healthcare system of unparalleled excellence. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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