Evidence map›Paper›PMID 42215870›Full record

ArticleBMC emergency medicine2026

Out-of-hospital cardiac arrest in three EMS centers in northern and central Thailand: a mixed-methods call for a national data infrastructure.

Chanodom Piankusol, Nutcha Charoenboon, Natthanaphop Isaradech, Borwon Wittayachamnankul, Sattha Riyapan, Jirapong Supasaovapak, Robert Bonar, Bryan McNally, Wachiranun Sirikul

Abstract readMulticenter Study
In one paragraph

Article in BMC emergency medicine, 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
0cells of the map it votes in
0citing 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

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

9 authors.

Chanodom PiankusolMilken Institute School of Public Health, George Washington University, Washington D.C., USA.ORCID 0000-0003-1616-5988
Nutcha CharoenboonDepartment of Community Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Road, Sriphum, Mueang, Chiang Mai, 50200, Thailand.ORCID 0000-0002-6975-3524
Natthanaphop IsaradechDepartment of Community Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Road, Sriphum, Mueang, Chiang Mai, 50200, Thailand.ORCID 0000-0001-5883-2035
Borwon WittayachamnankulDepartment of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0003-3465-5534
Sattha RiyapanDepartment of Emergency Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0003-1867-0080
Jirapong SupasaovapakRajavithi Hospital, Ministry of Public Health, Bangkok, Thailand.ORCID 0000-0002-1338-3720
Robert BonarMilken Institute School of Public Health, George Washington University, Washington D.C., USA.
Bryan McNallyEmory University School of Medicine, Emory University, Atlanta, USA.ORCID 0000-0003-3532-1931
Wachiranun SirikulDepartment of Community Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Road, Sriphum, Mueang, Chiang Mai, 50200, Thailand. wachiranun.sir@cmu.ac.th.ORCID 0000-0002-9183-4582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOut-of-hospital cardiac arrest (OHCA) is a leading cause of mortality in Thailand, yet national response to the issue remains fragmented and under-prioritized. There is no centralized OHCA registry, neurological outcome data are almost entirely absent, and coordination between EMS and hospitals is weak. This limits Thailand's ability to evaluate performance, guide investments, or improve survival.

methodsWe conducted a convergent mixed-methods study combining retrospective analysis of OHCA registry data (n = 2,259) from three hospital sites participating in a regional OHCA registry (2017-2023) with in-depth qualitative interviews across EMS, hospital, and policy stakeholders. Quantitative data were analyzed for trends in bystander CPR, response and scene times, and outcome tracking. Qualitative data were thematically coded to identify structural and operational barriers to data use and system integration.

resultsNeurological outcome data were available for only 16.4% of patients who were alive at 30 days. EMS teams had limited access to in-hospital outcome information, and hospitals did not routinely track functional recovery. One suburban-capital hospital showed measurable improvement using internal data to reduce scene times and increase bystander CPR. However, systemic fragmentation undermined scalability. Across sites, EMS and hospital data systems were not interoperable, and OHCA care was inconsistently prioritized.

conclusionThailand's OHCA system shows both promise and constraint. These findings highlight the need for improved data infrastructure, including standardized outcome tracking, better linkage between EMS and hospital systems, and clearer governance. Local successes can serve as models, but only with political will, shared infrastructure, and clear governance. A national OHCA data strategy is essential to improve survival and achieve equitable care.

Indexed as

Emergency Medical ServicesOut-of-Hospital Cardiac ArrestCardiopulmonary ResuscitationFemaleHumansRegistriesRetrospective StudiesThailandemergency medical servicesEMS systemsHealth data systemsHealth policylow- and middle-income countriesMixed methodsNeurological outcomesOHCA registryOut-of-hospital cardiac arrestThailand

Identifiers

PMID42215870
PMCPMC13439877

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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.