Using Ambulatory Care Sensitive Conditions to Assess Primary Health Care Performance during Disasters: A Systematic Review

Alessandro Lamberti-Castronuovo, Martina Valente, Chiara Aleni, Ives Hubloue, Luca Ragazzoni, Francesco Barone-Adesi

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
30 Downloads (Pure)

Abstract

Ambulatory care sensitive conditions (ACSCs) are health conditions for which appropriate primary care intervention could prevent hospital admission. ACSC hospitalization rates are a well-established parameter for assessing the performance of primary health care (PHC). Although this indicator has been extensively used to monitor the performance of PHC systems in peacetime, its consideration during disasters has been neglected. The World Health Organization (WHO) has acknowledged the importance of PHC in guaranteeing continuity of care during and after a disaster for avoiding negative health outcomes. We conducted a systematic review to evaluate the extent and nature of research activity on the use of ACSCs during disasters, with an eye toward finding innovative ways to assess the level of PHC function at times of crisis. Online databases were searched to identify papers. A final list of nine publications was retrieved. The analysis of the reviewed articles confirmed that ACSCs can serve as a useful indicator of PHC performance during disasters, with several caveats that must be considered. The reviewed articles cover several disaster scenarios and a wide variety of methodologies showing the connection between ACSCs and health system performance. The strengths and weaknesses of using different methodologies are explored and recommendations are given for using ACSCs to assess PHC performance during disasters.

Original languageEnglish
Article number9193
JournalInternational Journal of Environmental Research and Public Health
Volume19
Issue number15
DOIs
Publication statusPublished - 27 Jul 2022

Keywords

  • Ambulatory Care
  • Ambulatory Care Sensitive Conditions
  • Databases, Factual
  • Disasters
  • Hospitalization
  • Humans
  • Primary Health Care

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