A novel methodology to measure waiting times for community-based specialist care in a public healthcare system

Rachel Wilf - Miron*, Ilya Novikov, Arnona Ziv, Avishai Mandelbaum, Yaacov Ritov, Osnat Luxenburg

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Background: Monitoring waiting time (WT) in healthcare systems is essential, since long WT are associated with adverse health outcomes, reduced patient satisfaction and increased private financing. Objective: To describe a methodology developed for routine national monitoring of WT for community-based non-urgent specialist appointments, in a public healthcare system. Methods: The methodology is based on data from computerized appointment scheduling systems of all Health Maintenance Organizations (HMOs) in Israel. Data included first 50 available appointments for community-based specialists and actual number of visits. Five most frequent specialties: orthopedics, ophthalmology, gynecology, dermatology and otolaryngology, were included. WT offered to HMO members for non-urgent care was calculated for two scenarios: “specific” physician and “any” physician in the region. Distribution of offered WT was calculated separately for each specialty and geographical region, combined to create the nationwide distribution. Results: The methodology was tested on data extracted between December 2018-June 2019. Estimated national median WT for “specific” physician, ranged from 9 days (ophthalmology/gynecology) to 20 days (dermatology), with large variation between geographic regions. WT were 26–56 % shorter for “any” than for “specific” physician. Conclusions: This novel method offers a solution for ongoing national WT measurement, using computerized scheduling systems. It integrates two scenarios for appointment scheduling and allows identification of differences between specialties and regions, setting the ground for interventions to strengthen public healthcare systems.

Original languageEnglish
Pages (from-to)805-811
Number of pages7
JournalHealth Policy
Volume124
Issue number8
DOIs
StatePublished - Aug 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 Elsevier B.V.

Keywords

  • Computerized appointment scheduling systems
  • Health maintenance organizations
  • Physician
  • Public healthcare system
  • Specialist
  • Waiting time

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