Evidence map›Paper›PMID 42661220›Full record

ArticleIsrael journal of health policy research2026

Pitfalls encountered while projecting the future Israeli anesthesiologist workforce: lessons from the Israel anesthesiologist workforce study.

Ariel Wimpfheimer, Yehuda Ginosar, Daniela Quesada, Shai Fein, Charles Weissman, Israel Anesthesiology Workforce Study Group

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Article in Israel journal of health policy research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ariel WimpfheimerFaculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Yehuda GinosarFaculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Daniela QuesadaDepartment of Anesthesiology, Critical Care Medicine and Pain Management, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Shai FeinDepartment of Anesthesiology and Operating Rooms, Bellinson Hospital, Rabin Medical Center, Petach Tikva, Jerusalem, Israel.
Charles WeissmanFaculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel. charles_weissman@yahoo.com.
Israel Anesthesiology Workforce Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe smooth and efficient operation of a country's healthcare system is highly dependent on the size and specialty composition of its physician workforce. Therefore, it is incumbent upon a country's healthcare leadership to continually examine the workforce situation in each medical specialty, especially critical specialties like anesthesiology, so as to detect issues that could lead to shortfalls and surpluses and then apply effective corrective actions. The aim was to assess the accuracy of the different predictive methods and identify possible ways of improving their predictive capabilities. Our assumption was that the accuracy of workforce predictions is primarily affected by unforeseen and disruptive events.

methodsCross-sectional surveys of the Israeli anesthesiology workforce were performed in 2005 (n = 711 anesthesiologists) and 2021 (n = 1330 anesthesiologists). This permitted comparing needs and demand-based workforce forecasts made in 2005 with the actual 2021 workforce. Reasons for discrepancies between the 2005 forecasts and the reality in 2021 were sought.

resultsThe 2005 needs-based projections underestimated the actual increase in anesthesiologists because the population grew at a rate faster than that estimated in 2005. Furthermore, there was an increase in the proportion of the population > 65 years old, an increase in life expectancy and a higher birth rate requiring a greater number of caesarean sections and epidural catheter insertions. Moreover, the 2011 union contract between the government and the Israel Medical Association increased anesthesiologist vacation time by two weeks per year. The demand-based projection underestimations were attributed to the significant increase in anesthetics performed outside operating rooms, such as, in cardiac catheterization laboratories and invasive radiology and endoscopy suites. Comparing anesthesiologist workforce projections made in 2005 to the workforce realities 16 years later revealed that many unpredictable (greater population growth) and disruptive (union contract) factors that ensued during that time period led to underestimating future workforce needs.

conclusionsForecasting the future Israeli physician anesthesiologist workforce is an endeavor fraught with unpredictable challenges. To facilitate frequently updated forecasts of future workforce needs, healthcare systems require robust, long-term forecasting capabilities that use near real-time data obtained from the ubiquitous electronic medical and hospital record systems. These data should then be entered into sophisticated data analytic tools, rather than simple needs and demand-based methods. Such up-to-date forecasts should help healthcare system leaders and policy makers make more informed workforce decisions.

Indexed as

AnesthesiologistsAnesthesiologyHealth WorkforceWorkforceCross-Sectional StudiesForecastingHumansIsraelAnesthesiologistsAnesthesiologyForecasting methodsPhysician workforceProjections

Identifiers

PMID42661220
PMCPMC13523493

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