Evidence map›Paper›PMID 40604968›Full record

ArticleBMC health services research2025

Development of a healthcare utilisation index to compare patients worldwide: a cross-sectional study.

Gregor John, Dominik Rebell, Jacques Donzé

Abstract readComparative Study
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. Observational
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

3 authors.

Gregor JohnDepartment of Internal Medicine, Neuchâtel Hospital Network, Rue de la Maladière 45, Neuchâtel, CH-2000, Switzerland. gregor.john@rhne.ch.ORCID http://orcid.org/0000-0002-1548-7339
Dominik RebellDepartment of Internal Medicine, Neuchâtel Hospital Network, Rue de la Maladière 45, Neuchâtel, CH-2000, Switzerland.
Jacques DonzéDepartment of Internal Medicine, Neuchâtel Hospital Network, Rue de la Maladière 45, Neuchâtel, CH-2000, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is no simple tool for synthesising the total volume of different healthcare services a patient utilizes into a single meaningful measure. We aimed to develop such an instrument and explore its associations with two broad health indicators: mortality and life expectancy.

methodWe constructed the Healthcare Utilisation (HUTIL) index to sum the weighted volume of healthcare services used over a given period. Each healthcare service's weighting was calculated using worldwide median ratios between that service's costs and those of a consultation with a primary care physician (PCP). Data were obtained from the literature and internet searches. Next, we calculated the annual average HUTIL index per capita for European countries by collecting data available from their statistical offices and the European Union. Life expectancy at birth and mortality rates per 100,000 inhabitants were used to compare countries with HUTIL index scores above and below the continental median.

resultsIn 63 countries worldwide, ratios of healthcare costs to PCP costs were 2 (IQR: 2-3) for a consultation with a specialist, 4 (IQR: 2-6) for an emergency department consultation, 0.5 (IQR: 0.4-0.8) for a home visit by a nurse and 8 (IQR: 4-17) for a day spent in hospital. Using these weigthing factors, an annual average HUTIL index per capita was calculated for 26 European countries. Countries with HUTIL index scores above the continental median had higher mortality rates (1047 deaths per 100,000 inhabitants [IQR: 979-1321] vs. 889 [IQR: 778-930]; p < 0.01) and lower life expectancy (78.2 years [IQR: 76.1-81.3] vs. 82.0 [IQR: 81.5-82.6]; p = 0.01) than countries with lower HUTIL index scores.

conclusionsHealthcare cost ratios were remarkably constant around the world. Based on these ratios, the HUTIL index could become a new, globally applicable tool to facilitate future research into healthcare services utilisation.

Indexed as

Global HealthHealth ServicesCross-Sectional StudiesEuropeHealth Care CostsHumansLife ExpectancyMortalityCare consumptionEmergency departmentHealthcareHospital daysMedical consultationsWorld

Identifiers

PMID40604968
PMCPMC12224835

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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.