Evidence map›Paper›PMID 42635310›Full record

ArticleHealth care management review

Cut them some slack: Examining the effects of slack resources on the hospital workforce.

Frank van de Baan, Niels Hameleers, Rachel Gifford, Bram Fleuren, Dirk Ruwaard, Daan Westra

Abstract read
In one paragraph

Article in Health care management review. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Frank van de BaanORCID 0000-0002-8085-0245
Niels Hameleers
Rachel Gifford
Bram Fleuren
Dirk Ruwaard
Daan Westra

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResource and capacity constraints can hamper the functioning of health care organizations and adversely affect the workforce, particularly during a shock. To mitigate the workforce crisis and enhance the ability to deal with shocks, slack resources (surplus resources accumulated by organizations) may be beneficial. PURPOSE: This paper seeks to identify how slack may benefit hospital staff in terms of reduced absenteeism and turnover, and how slack may buffer against the negative effects of shocks on staff. METHODOLOGY/APPROACH: Using a nationwide dataset including annual reports of all Dutch hospitals from 2017 to 2021, this paper studies the relationships between three types of slack resources and absenteeism and turnover rates of hospitals. Specifically, linear mixed-effects modeling is used to estimate direct effects of slack resources and to test how COVID-19 (vs. non-COVID-19 years) moderates these resources' effects based on 342 hospital-year combinations.

resultsThe analyses reveal a significant curvilinear U-shaped relationship between absorbed slack (i.e., staff levels) and turnover rates. In addition, unabsorbed slack (i.e., financial reserves) and potential slack (i.e., capacity for additional loans) buffered significantly against the increasing effect of COVID-19 on absenteeism rates. PRACTICE IMPLICATIONS: Our study shows that incentivizing health care organizations to acquire slack resources can enable them to reduce turnover rates and, during shocks, mitigate shocks' adverse impact on absenteeism rates. As such, this studu suggests a need to reconsider the common policies and organizational practices of constraining resources to reduce costs.

Indexed as

Health ResourcesHealth WorkforcePersonnel, HospitalPersonnel TurnoverAbsenteeismCOVID-19HumansNetherlandsPandemicsSARS-CoV-2bufferscapacity buildingefficiencyhealth workforcepandemic preparednessresource allocationresource constraintsworkforce crisis

Identifiers

PMID42635310
PMCPMC13492647

What OpenQuestion holds

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Registered trials

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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.