International Journal of Health Policy and Management (May 2013)

Health System Responsiveness: A Case Study of General Hospitals in Iran

  • Marjan Vejdani,
  • Alireza Rezazadeh,
  • Marzieh Javadi,
  • Arefeh Pourtaleb,
  • Ahmad Khanijahani,
  • Ali Vafaei Najjar,
  • Hossein Ebrahimipour,
  • Arash Shirdel

Journal volume & issue
Vol. 1, no. 1
pp. 99 – 105

Abstract

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Background Considering patients’ needs and expectations in the process of healthcare delivery improves the quality of services. This study aimed to investigate the responsiveness of general public and private hospitals in Mashhad, Iran. Methods In this cross-sectional and explanatory study, hospitalized patients (with at least 2 days of stay) in general private and public hospitals in Mashhad were investigated. In total 425 patients (259 from private and 166 from public hospitals) were selected using a stratified and simple random sampling. Standard responsiveness questionnaire was used as the data collection tool. Data were analysed using descriptive statistics, independent t-tests and ANOVA by SPSS 16 at a significance level of 0.05. Results Access to the social support during hospitalization as well as confidentiality of the patient’s information achieved the highest score (3.21±0.73) while the patient participation in decision-making process of treatment received the least score (2.34±1.24). Among the research population 1.6%, 4.1%, 17.6%, 63.3% and 13.2% commented on the responsiveness level as very low, low, moderate, good, and excellent, respectively. There was no significant difference between the overall responsiveness scores of public and private hospitals ( P-Value ≥0.05). Conclusion The hospitals have enough potential to improve various aspects of their responsiveness. We suggest a number of measures can help improve the non-clinical aspects of care. These include: using educational courses to improve the knowledge and attitudes of medical and nonmedical staff, changing the resource allocation method, and using quality tools such as reengineering to modify the healthcare delivery processes.

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