Evidence map›Paper›PMID 41872815›Full record

ArticleBMC health services research2026

International comparison of equity gradients in hospitalizations for ambulatory care sensitive conditions.

Grace M Spiro, Yu Qing Bai, Olukorede Abiona, Anne Alarilla, Enrique Bernal-Delgado, Carl Rudolf Blankart, Nicholas Bowden, Francisco Estupiñán-Romero, Jose F Figueroa, Luis Gomes and 11 more

Abstract readComparative Study
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.

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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

21 authors.

Grace M SpiroHealth System Performance Network, Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Canada. grace.spiro@utoronto.ca.
Yu Qing BaiHealth System Performance Network, Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Canada.
Olukorede AbionaCentre for Health Economics Research and Evaluation (CHERE), University of Technology Sydney, Sydney, NSW, Australia.
Anne AlarillaThe Health Foundation, London, England, UK.
Enrique Bernal-DelgadoInstitute for Health Sciences in Aragon (IACS), Aragon, Spain.
Carl Rudolf BlankartKPM Center for Public Management, University of Bern, Freiburgstr. 3, Bern, 3010, Switzerland.
Nicholas BowdenWomen's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Francisco Estupiñán-RomeroInstitute for Health Sciences in Aragon (IACS), Aragon, Spain.
Jose F FigueroaDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Cambridge, MA, USA.
Luis GomesKPM Center for Public Management, University of Bern, Freiburgstr. 3, Bern, 3010, Switzerland.
Philip HaywoodCentre for Health Economics Research and Evaluation (CHERE), University of Technology Sydney, Sydney, NSW, Australia.
Aaron HedquistDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Cambridge, MA, USA.
Joachim MartiCentre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Zeynep OrInstitute for Research and Information in Health Economics (IRDES), Paris, France.
Irene PapanicolasDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.
Anne PenneauInstitute for Research and Information in Health Economics (IRDES), Paris, France.
Mai StaffordThe Health Foundation, London, England, UK.
George StevensonThe Health Foundation, London, England, UK.
Reijo SundInstitute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
Jean Pierre UwitonzeKPM Center for Public Management, University of Bern, Freiburgstr. 3, Bern, 3010, Switzerland.
Walter P WodchisHealth System Performance Network, Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitalizations for Ambulatory Care Sensitive Conditions (ACSCs) are thought to be avoidable with effective preventive care and early disease management, usually delivered in community-based ambulatory care settings. These hospitalizations are both costly and sensitive to the socioeconomic situation of patients. Understanding whether different health systems mitigate the sensitivity of ACSCs to socioeconomic gradients may direct attention to equity-improving approaches to ambulatory health care. This study sought to identify differences in the gradient of Ambulatory Care Sensitive Conditions (ACSC) relative to socioeconomic status across nine countries, namely Australia, Canada, England, Finland, France, New Zealand, Spain, Switzerland, and the United States (US).

methodsThe nine countries participating in the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) calculated age—and sex-specific ACSC hospitalization rates between January 1, 2019, and December 31, 2019, based on data from national data sources on hospitalization and sociodemographic information at small-area levels. We used a common definition of ACSC indicators developed through a literature review of indicators routinely used in healthcare performance monitoring. We employed linear regression models to assess inequalities in ACSC association with area-level socioeconomic deprivation and income using the Slope Index of Inequality and the Relative Index of Inequality.

resultsA persistent pattern higher ACSC hospitalization rates for individuals in most disadvantaged areas remained irrespective of the socioeconomic status measure used. There was, however, considerable variation in relative equity gradients in ACSC hospitalizations between countries. Using the nine condition ACSC definition, the greatest inequalities were observed in England (RII = 0.26), and the least inequalities in ACSC hospitalizations were observed in Spain (RII = 0.68) in the 18 + cohort.

conclusionsA consistent equity gradient in ACSC hospitalizations was observed across high-income countries included in this study. Addressing these inequities with targeted policies can reduce the cost of care while improving access to high quality care.

Indexed as

Ambulatory CareHealthcare DisparitiesHealth EquityHospitalizationAustraliaFemaleHumansMaleSocioeconomic Disparities in HealthSocioeconomic FactorsAmbulatory careAvoidable hospitalizationsInternational comparisonsPrimary careSocioeconomic status

Identifiers

PMID41872815
PMCPMC13063775

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LicenceCC BY-NC-ND
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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.