Evidence map›Paper›PMID 42897634›Full record

ArticleBMC health services research2026

How access to long-term care affects short-term care.

Ismail Aydemir, René Bekker, Dennis Moeke, Bianca M Buurman, Rob D van der Mei

Abstract read
In one paragraph

Article in BMC health services 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.

0numbers the graph read from it
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0citing papers in PubMed
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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

5 authors.

Ismail AydemirDepartment of Mathematics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. ismail@cwi.nl.
René BekkerDepartment of Mathematics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Dennis MoekeResearch Group Logistics and Alliances, HAN University of Applied Sciences, Arnhem, The Netherlands.
Bianca M BuurmanDepartment of Medicine for Older People, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Rob D van der MeiDepartment of Mathematics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Funding

Ministerie van Economische Zaken en Klimaat KI with the supplementary grant 'TKI-Toeslag' for Topconsortia for Knowledge and InnovationMinisterie van Economische Zaken en Klimaat TKI with the supplementary grant 'TKI-Toeslag' for Topconsortia for Knowledge and InnovationNederlandse Organisatie voor Wetenschappelijk Onderzoek project number 17710, with the name DOLCE VITA (Data-driven Optimization for a Vital Elderly Care System in the Netherlands)
6 · The paper itself

Abstract

objectiveHealthcare systems face growing pressure due to rising demand, population aging, and staffing shortages. In the Netherlands, limited access to long-term care often results in clients being admitted to short-term care while awaiting nursing home placement, increasing strain on these services. Over 50% of nursing home clients are admitted via short-term care, an outcome considered undesirable. This study takes a macro-level approach to assess to what extent more efficient nursing home bed allocation can reduce waiting times and ease pressure on the system.

methodsModeling admission trajectories of older adults in need of nursing home care across long- and short-term care settings in the Netherlands, using discrete-event simulation. The model simulates client arrivals, admissions to and discharges from both short-term care and long-term care. We compare the current decentralized admission policy to a centralized admission policy, using average waiting times and fraction of short-term care admissions as performance metrics.

resultsA centralized admission policy substantially reduces waiting times and short-term care admissions. For the base case scenario, with 90% regional bed occupancy, waiting times drop from 336 to 35 days, and short-term care admissions decrease from 45% to 4.5%. When demand variation across nursing homes is higher, these reductions can be even larger.

conclusionsResults show that long waiting times and uneven demand across nursing homes increase short-term care admissions and place additional pressure on the system. Efficient bed allocation may help reduce this pressure. Its effectiveness is largest when the system is working close to its full capacity, while it's less affected when it's running far below or well beyond that point. Additionally, an increase in non long-term care client admissions to the short-term care triggers a multiplier effect, further straining the system. These dynamics highlight the interdependency between long-term care and short-term care.

Indexed as

Health Services AccessibilityLong-Term CareNursing HomesPatient AdmissionBed OccupancyHumansNetherlandsWaiting ListsCapacity managementDiscrete-event simulationLong-term careNursing homesShort-term care

Identifiers

PMID42897634
PMCPMC13682145

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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.