Evidence map›Paper›PMID 39351857›Full record

Observational studyHealth services research2024

International comparison of hospitalizations and emergency department visits related to mental health conditions across high-income countries before and during the COVID-19 pandemic.

Nicholas Bowden, Aaron Hedquist, Dannie Dai, Olukorede Abiona, Enrique Bernal-Delgado, Carl Rudolf Blankart, Julie Cartailler, Francisco Estupiñán-Romero, Philip Haywood, Zeynep Or and 10 more

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
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

20 authors.

Nicholas BowdenDepartment of Women's and Children's Health, University of Otago, Dunedin, New Zealand.ORCID 0000-0003-4589-9956
Aaron HedquistDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Dannie DaiDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Olukorede AbionaMacquarie University Centre for the Health Economy (MUCHE), Macquarie University, Sydney, NSW, Australia.
Enrique Bernal-DelgadoData Science for Health Services and Policy Research, Institute for Health Sciences in Aragon (IACS), Zaragoza, Spain.ORCID 0000-0002-0961-3298
Carl Rudolf BlankartKPM Center for Public Management, University of Bern, Bern, Switzerland.ORCID 0000-0001-6719-0038
Julie CartaillerInterdisciplinary Laboratory of Applied Research in Economy, Management and Health (LIRAES), Paris City University, Paris, France.
Francisco Estupiñán-RomeroData Science for Health Services and Policy Research, Institute for Health Sciences in Aragon (IACS), Zaragoza, Spain.ORCID 0000-0002-6285-8120
Philip HaywoodMenzies Centre for Health Policy and Economics, University of Sydney, Sydney, NSW, Australia.
Zeynep OrInstitute for Research and Documentation in Health Economics (IRDES), Paris, France.ORCID 0000-0002-6860-3735
Irene PapanicolasDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0002-8000-3185
Mai StaffordThe Health Foundation, London, UK.
Steven WyattWest Bromwich, The Strategy Unit, NHS Midlands and Lancashire Commissioning Support Unit, Leyland, UK.
Reijo SundInstitute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
Jean Pierre UwitonzeKPM Center for Public Management, University of Bern, Bern, Switzerland.
Walter P WodchisInstitute of Health Policy Management & Evaluation, University of Toronto, Toronto, ON, Canada.
Robin GauldDepartment of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand.
Hien VuDepartment of Women's and Children's Health, University of Otago, Dunedin, New Zealand.
Tania SawayaDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.
Jose F FigueroaDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0003-3811-257X

Funding

Health FoundationUniversity of Otago
6 · The paper itself

Abstract

objectiveTo explore variation in rates of acute care utilization for mental health conditions, including hospitalizations and emergency department (ED) visits, across high-income countries before and during the COVID-19 pandemic. DATA SOURCES AND STUDY

settingAdministrative patient-level data between 2017 and 2020 of eight high-income countries: Canada, England, Finland, France, New Zealand, Spain, Switzerland, and the United States (US). STUDY

designMulti-country retrospective observational study using a federated data approach that evaluated age-sex standardized rates of hospitalizations and ED visits for mental health conditions. PRINCIPAL

findingsThere was significant variation in rates of acute mental health care utilization across countries. Among the subset of four countries with both hospitalization and ED data, the US had the highest pre-COVID-19 combined average annual acute care rate of 1613 episodes/100,000 people (95% CI: 1428, 1797). Finland had the lowest rate of 776 (686, 866). When examining hospitalization rates only, France had the highest rate of inpatient hospitalizations of 988/100,000 (95% CI 858, 1118) while Spain had the lowest at 87/100,000 (95% CI 76, 99). For ED rates for mental health conditions, the US had the highest rate of 958/100,000 (95% CI 861, 1055) while France had the lowest rate with 241/100,000 (95% CI 216, 265). Notable shifts coinciding with the onset of the COVID-19 pandemic were observed including a substitution of care setting in the US from ED to inpatient care, and overall declines in acute care utilization in Canada and France.

conclusionThe study underscores the importance of understanding and addressing variation in acute care utilization for mental health conditions, including the differential effect of COVID-19, across different health care systems. Further research is needed to elucidate the extent to which factors such as workforce capacity, access barriers, financial incentives, COVID-19 preparedness, and community-based care may contribute to these variations. WHAT IS KNOWN ON THIS TOPIC: Approximately one billion people globally live with a mental health condition, with significant consequences for individuals and societies. Rates of mental health diagnoses vary across high-income countries, with substantial differences in access to effective care. The COVID-19 pandemic has exacerbated mental health challenges globally, with varying impacts across countries. WHAT THIS STUDY ADDS: This study provides a comprehensive international comparison of hospitalization and emergency department visit rates for mental health conditions across eight high-income countries. It highlights significant variations in acute care utilization patterns, particularly in countries that are more likely to care for people with mental health conditions in emergency departments rather than inpatient facilities The study identifies temporal and cross-country differences in acute care management of mental health conditions coinciding with the onset of the COVID-19 pandemic.

Indexed as

COVID-19Developed CountriesEmergency Service, HospitalHospitalizationMental DisordersAdultAgedEmergency Room VisitsFemaleHumansMaleMental HealthMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2access/demand/utilization of servicesacute inpatient carecomparative health systems/international healthhealth care organizations and systemsmental health

Identifiers

PMID39351857
PMCPMC11622279

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.