evaluation of patient and medical staff satisfaction regarding healthcare services in wuhan public hospitals

evaluation of patient and medical staff satisfaction regarding healthcare services in wuhan public hospitals

;Runtang Meng;Jingjing Li;Yunquan Zhang;Yong Yu;Yi Luo;Xiaohan Liu;Yanxia Zhao;Yuantao Hao;Ying Hu;Chuanhua Yu
archives of biochemistry and biophysics 2018 Vol. 15 pp. 769-
207
meng2018internationalevaluation

Abstract

Satisfaction evaluation is widely used in healthcare systems to improve healthcare service quality to obtain better health outcomes. The aim of this study was to measure employee work satisfaction and patient satisfaction status in Wuhan, China. A cross-sectional study was conducted in 14 medical institutions. The final valid sample comprised a total of 696 medical staff and 668 patients. The overall satisfaction levels of medical staff and patients were 58.28 ± 14.60 (10.47–100.00) and 65.82 ± 14.66 (8.62–100.00), respectively. The factors affecting medical staff satisfaction, ranking in sequence from most to least satisfied, were: the work itself, working environment and atmosphere, hospital management, practicing environment, and job rewards. Patient satisfaction factors, from most to least affecting, were ranked as follows: physician-patient relationship and communication, service organization and facilities, continuity and collaboration of medical care, access to relevant information and support, and healthcare and related services, respectively. The overall satisfaction evaluation of medical staff was average. Healthcare policy makers and medical institution management staff should focus on job rewards and working environment. This would allow them to increase their work happiness and sense of belonging, which in turn would allow them to provide better medical services to patients. The overall patient evaluation was satisfactory, with patients satisfied at all levels of the satisfaction evaluation.

Citation

ID: 147838
Ref Key: meng2018internationalevaluation
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
147838
Unique Identifier:
10.3390/ijerph15040769
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