patient satisfaction and associated factors among clients admitted to obstetrics and gynecology wards of public hospitals in mekelle town, ethiopia: an institution-based cross-sectional study

patient satisfaction and associated factors among clients admitted to obstetrics and gynecology wards of public hospitals in mekelle town, ethiopia: an institution-based cross-sectional study

;Taklu Marama;Hinsermu Bayu;Mulualem Merga;Wakgari Binu
vìsnik nacìonalʹnogo avìacìjnogo unìversitetu 2018 Vol. 2018 pp. -
555
marama2018obstetricspatient

Abstract

Background. To improve the quality of services, satisfying patients is the primary goal of the Ethiopian reform programme. Objectives. To assess patient satisfaction and associated factors among clients admitted to obstetrics and gynecology wards of public hospitals in Mekelle town. Method: Institution-based cross-sectional study design was conducted on 413 participants using systematic sampling methods. Data were collected from March 9 to May 8, 2016, using structured questionnaires. Data were entered and cleaned in Epidata 3.1 and analysed using SPSS V20 with binary logistic regression model. Result. The observed satisfaction rate was 79.7% at 95% CI (75.8%, 83.6%). Clients were dissatisfied towards well-describing side effects of medication, informing what the medication is used for before prescribing and administering, cleanness of toilet and washroom, and access to drinking water, latrine, and hand-washing facility. Respondents live in rural area, stayed < 4 days, admitted for the first time, admitted in Mekelle General Hospital, and who reported their feeling on ways privacy was assured were more likely satisfied than their counterparts. Conclusions. The observed satisfaction rate is high. So, policymakers, Regional Health Bureau, hospital managers, caregivers, and researchers should plan and work together to keep track of patient satisfaction. Areas patients are dissatisfied should also improve.

Citation

ID: 203655
Ref Key: marama2018obstetricspatient
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
203655
Unique Identifier:
10.1155/2018/2475059
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet