Identification of behavioural changes in reporting adverse events early during COVID-19: An ambulatory care perspective in Israel

Iris Reychav, Alon Yaakobi, Roger McHaney, Yossi Tal, Orly Manor

Research output: Contribution to journalArticlepeer-review

Abstract

This study examined adverse event reporting centred on three significant dates in the months before the pandemic arrived in Israel. On these dates, broad media coverage exposed citizens and health care providers with indications about the forthcoming pandemic. The current study tracked whether parameters related to reporting adverse medical events provided early indications that a large crisis was unfolding. The method for analysing the data was based on a statistical test called Regression Discontinuity Design, which helped identify parameters related to medical reporting patterns which significantly changed. The examination indicated nurses' reports were unique in relation to others and indicated three phases: (1) upon declaration of the upcoming pandemic, there was a rise in reporting; (2) when the disease was named, there was moderation and maintenance in a steady quantity of reports, and finally, (3) when the first case arrived in Israel, a slight decrease in reporting began. Nurses' behaviours manifested as changes in reporting patterns. In this process of increase, moderation and decrease, it can be concluded that these are three stages that may characterise the beginning of a large event. The research method presented reinforces the need for forming tools by which significant events such as the COVID-19 pandemic can be identified quickly, and aid in proper planning of resources, optimise staffing and maximise utilization of the health systems.

Original languageEnglish
Pages (from-to)1314-1329
Number of pages16
JournalInternational Journal of Health Planning and Management
Volume38
Issue number5
DOIs
StatePublished - Sep 2023

Keywords

  • adverse event reporting
  • crisis management
  • crisis planning
  • health policy
  • nurse
  • physician

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