Evidence map›Paper›PMID 41286878›Full record

ArticleBMC health services research2025

Hospitalizations and inpatient resource consumption of patients suffering from chronic disease - Past trend and forecast for Switzerland.

Daria Bukanova-Berend, Thomas Campbell-James, Justus Vogel

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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

3 authors.

Daria Bukanova-BerendSchool of Medicine, University of St. Gallen, St. Gallen, Switzerland. daria.bukanova-berend@unisg.ch.
Thomas Campbell-JamesAstraZeneca AG, Medical Affairs, Baar, ZG, Switzerland.
Justus VogelSchool of Medicine, University of St. Gallen, St. Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic diseases are an increasing burden for Swiss healthcare. Demographic change aggravates the problem, with an ageing, multi-morbid population increasing the need for care while also depleting the healthcare workforce. Originally developed to assess the structural quality of and access to primary care, Potentially Avoidable Hospitalizations (PAHs) are an OECD-metric employed as an indicator of inpatient burden for various chronic diseases. So far, evidence on future PAH-burden remains limited.

aims(1) To assess the evolution of PAHs and associated resources (bed capacities, inpatient healthcare expenditures) in Switzerland for chronic obstructive pulmonary disease (COPD), asthma, congestive heart failure (CHF), hypertension and diabetes between 2012 and 2022, (2) to forecast PAHs until 2032, based on expected demographic change and (3) to explore methodologically how changes in primary care physician (PCP)-supply and countermeasures might influence future PAH-development.

methodsWe identified PAHs in retrospective routine hospital data and derived numbers of occupied hospital beds, based on cases' length of stay, and inpatient healthcare expenditures, based on diagnosis-related group payments. We utilized population forecasts for Switzerland to extrapolate PAH-volume in the base scenario. Additionally, we predicted via linear regression how reduced ageing-induced PCP-availability might affect PAHs. Finally, we explored the potential impact of countermeasures, optimal Guideline-Directed Medical Therapy (GDMT)-implementation, for CHF and COPD.

resultsThe number of PAHs across all five chronic diseases increased from 30.1 to 40.2 thousand cases between 2012 and 2019 (+ 34%) and is projected to rise to 54.9 thousand cases until 2032 (+ 37%). We project PAH-volume to increase by an additional 11% by 2032 due to changes in PCP-supply. By 2032, optimal GDMT-implementation has the potential to reduce CHF- and COPD-related PAH-volumes by 31% (95% CI: 22.23-37.60%) and 14% (95% CI: 2.17-26.02%), respectively.

conclusionsOur study assesses cumulative PAH-trends and is the first to forecast future burden in Switzerland. A strong rise in PAHs and associated inpatient resources was registered for the last decade, with accelerating growth expected throughout the next. A depleting healthcare workforce may exacerbate burden. Optimal GDMT-implementation could potentially curb increases in PAHs. However, methods to reach optimal implementation require further research and policy efforts.

Indexed as

Chronic DiseaseCost of IllnessHealth ExpendituresHospitalizationAdultAgedAged, 80 and overFemaleHealth WorkforceHumansLength of StayMaleMiddle AgedMultimorbidityPractice Guidelines as TopicRetrospective StudiesChronic diseasesHealth servicesHospitalizationPotentially avoidable hospitalizationsPrimary care

Identifiers

PMID41286878
PMCPMC12642236

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LicenceCC BY-NC-ND
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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.