Evidence map›Paper›PMID 35619111›Full record

ArticleHuman resources for health2022

Implications for health system reform, workforce recovery and rebuilding in the context of the Great Recession and COVID-19: a case study of workforce trends in Ireland 2008-2021.

Padraic Fleming, Steve Thomas, Des Williams, Jack Kennedy, Sara Burke

Open access · goldAbstract read
In one paragraph

Article in Human resources for health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Enumeration of the Public Health Workforce in New York State: Workforce Changes in the Wake of COVID-19.International journal of environmental research and public health · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Padraic FlemingCentre for Health Policy and Management, Trinity College Dublin, The University of Dublin, 3-4 Foster Place, Dublin 2, Ireland. padraic.fleming@tcd.ie.ORCID 0000-0003-1284-4860
Steve ThomasCentre for Health Policy and Management, Trinity College Dublin, The University of Dublin, 3-4 Foster Place, Dublin 2, Ireland.
Des WilliamsNational Human Resources Directorate, HSE, Dr. Steevens' Hospital, Dublin 8, Ireland.
Jack KennedyNational Human Resources Directorate, HSE, Dr. Steevens' Hospital, Dublin 8, Ireland.
Sara BurkeCentre for Health Policy and Management, Trinity College Dublin, The University of Dublin, 3-4 Foster Place, Dublin 2, Ireland.
Trinity College Dublin · IENational University of Ireland · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorkforce is a fundamental health systems building block, with unprecedented measures taken to meet extra demand and facilitate surge capacity during the COVID-19 pandemic, following a prolonged period of austerity. This case study examines trends in Ireland's publicly funded health service workforce, from the global financial crisis, through the Recovery period and into the COVID-19 pandemic, to understand resource allocation across community and acute settings. Specifically, this paper aims to uncover whether skill-mix and staff capacity are aligned with policy intent and the broader reform agenda to achieve universal access to integrated healthcare, in part, by shifting free care into primary and community settings.

methodsSecondary analysis of anonymised aggregated national human resources data was conducted over a period of almost 14 years, from December 31st 2008 to August 31st 2021. Comparative analysis was conducted, by professional cadre, across three keys periods: 'Recession period' December 31st 2008-December 31st 2014; 'Recovery period' December 31st 2014-December 31st 2019; and the 'COVID-19 period' December 31st 2019-August 31st 2021.

resultsDuring the Recession period there was an overall decrease of 8.1% (n = 9333) between December 31st 2008 and December 31st 2014, while the Recovery period saw the overall staff levels rebound and increase by 15.2% (n = 16,789) between December 31st 2014 and December 31st 2019. These figures continued to grow, at an accelerated rate during the most recent COVID-19 period, increasing by a further 8.9% (n = 10,716) in under 2 years. However, a notable shift occurred in 2013, when the number of staff in acute services surpassed those employed in community services (n = 50,038 and 49,857, respectively). This gap accelerated during the Recovery and COVID-19 phase. By August 2021, there were 13,645 more whole-time equivalents in acute settings compared to community, a complete reverse of the 2008 situation. This was consistent across all cadres. Workforce absence trends indicate short-term spikes resulting from shocks while COVID-19 redeployment disproportionately impacted negatively on primary care and community services.

conclusionsThis paper clearly demonstrates the prioritisation of staff recruitment within acute services-increasing needed capacity, without the same commitment to support government policy to shift care into primary and community settings. Concerted action including the permanent redistribution of personnel is required to ensure progressive and sustainable responses are learned from recent shocks.

Indexed as

COVID-19Government ProgramsHumansIrelandPandemicsWorkforceCOVID-19Financial crisisHealth system shockReformResilienceUniversal healthcare deliveryWorkforce

Identifiers

PMID35619111
PMCPMC9134726
OpenAlexW4281556950

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.