Adverse events in Malaysia: Associations with nurse's ethnicity and experience, hospital size, accreditation, and teaching status

Int J Health Plann Manage. 2020 Jan;35(1):104-119. doi: 10.1002/hpm.2822. Epub 2019 Jul 4.

Abstract

Purpose: In Malaysia, private healthcare sector has become a major player in delivering healthcare services alongside the government healthcare sector. However, wide disparities in health outcomes have been recorded, and adverse events in these contexts have yet to be explored. The purpose of this study was to explore associations between nurse's ethnicity and experience, hospital size, accreditation, and teaching status with adverse events in Malaysian private hospitals.

Methods: A cross-sectional survey was conducted in 12 private hospitals in Malaysia. A total of 652 (response rate = 61.8%) nurses participated in the study. Data were collected using self-administered questionnaire on nurses' characteristic, adverse events and events reporting, and perceived patient safety.

Results: Patient and family complaints events were the most common adverse events in Malaysian private hospitals as result of increased cost of care (3.24 ± 0.95) and verbal miscommunication (3.52 ± 0.87).

Conclusion: Hospital size, accreditation status, teaching status, and nurse ethnicity had a mixed effect on patient safety, perceived adverse events, and events reporting. Policy makers can benefit that errors are related to several human and system related factors. Several system reforms and multidisciplinary efforts were recommended for optimizing health, healthcare and preventing patient harm.

Keywords: accreditation; hospitals; patient harm; patient safety; teaching.

MeSH terms

  • Accreditation / statistics & numerical data*
  • Adult
  • Cross-Sectional Studies
  • Ethnicity / statistics & numerical data*
  • Female
  • Hospital Bed Capacity / statistics & numerical data
  • Hospital Costs / statistics & numerical data
  • Hospitals, Private / statistics & numerical data*
  • Hospitals, Teaching / statistics & numerical data*
  • Humans
  • Malaysia / epidemiology
  • Male
  • Medical Errors / statistics & numerical data*
  • Nursing Staff, Hospital / statistics & numerical data*
  • Patient Safety / statistics & numerical data
  • Risk Management / statistics & numerical data
  • Surveys and Questionnaires