Statistical Analysis to Identify Factor Related with Patients Satisfaction on General Service in Assosa General Hospital, Western Ethiopia

Authors

  • Endalkachew Abebe Debelu Department of Statistics, College of Natural & Computational Sciences, Assosa Univeristy, Assosa, Ethiopia

DOI:

https://doi.org/10.32553/ijmbs.v6i4.2489

Keywords:

Satisfaction of patients, Binary logistic regression, the odds

Abstract

Patient satisfaction is the extent to which patients are happy with their healthcare provided from the hospital/health center. It is considered as one of the desired outcomes of health care and it is directly related with utilization of health services. The aim of the study was to identify the factor related with patient satisfaction on general service in Assosa General hospital. To reach the aim, the data have been collected through questionnaire from 735 patients, selected using simple random sample of total 2509 population, in October 1 to  November 30, 2021. Frequency distribution Table and pie chart were used for data description; binary logistic regression was used to identify the factors that affect patients satisfaction, using R version 4.1.3. The results of this study showed that 43.27% of patients were satisfied and the remaining 56.73% were not satisfied with the service they have received from the hospital. Patients’ satisfaction was associated with age, gender, health care quality of services, waiting time for treatment, fee-for-service, availability of drug, laboratory service, cleanness of hospital, doctor and nurse response. From the result of binary logistic regression it can be concluded that age, health care quality of services, waiting time for treatment, availability of drug, cleanness of hospital, doctor and nurse response has significant effect on the satisfaction of patients.

Keywords: Satisfaction of patients, Binary logistic regression, the odds

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Published

2022-04-19

How to Cite

Abebe Debelu, E. (2022). Statistical Analysis to Identify Factor Related with Patients Satisfaction on General Service in Assosa General Hospital, Western Ethiopia. International Journal of Medical and Biomedical Studies, 6(4). https://doi.org/10.32553/ijmbs.v6i4.2489

Issue

Section

Research Articles