{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T02:37:12Z","timestamp":1777343832178,"version":"3.51.4"},"reference-count":56,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T00:00:00Z","timestamp":1726012800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000061","name":"Fogarty International Center","doi-asserted-by":"publisher","award":["D43TW009522"],"award-info":[{"award-number":["D43TW009522"]}],"id":[{"id":"10.13039\/100000061","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Institute of Allergy and Infectious Diseases of the National Institutes of Health","award":["D43TW009522"],"award-info":[{"award-number":["D43TW009522"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"\nAims<\/jats:title>\nThis study aims to compare the trends in the quality of hospital care for WHO\u2019s three disease groups pre-, during, and post-COVID-19 pandemic peak in Thailand.<\/jats:p>\n<\/jats:sec>\n\nMethods<\/jats:title>\nThe study utilized existing hospital admission data from the Thai Health Information Portal (THIP) database, covering the period from 2017 to 2022. We categorized WHO\u2019s three disease groups: poverty-related, noncommunicable, and injury groups using the International Classification of Diseases (ICD)\u201410 of initial admission of patients, and we analyzed three major outcomes: prolonged (\u2265 90th<\/jats:sup> percentile) length of stay (LOS), hospital mortality, and readmission pre-, during, and post-COVID-19 pandemic peak. Relative weight (RW) of hospital reimbursements was used as a surrogate measure of the severity of the diseases.<\/jats:p>\n<\/jats:sec>\n\nResults<\/jats:title>\nThe average prolonged LOS of patients with poverty disease pre-, during, and post-COVID-19 pandemic peak were 7.1%, 10.8%, 9.05%, respectively. Respective hospital mortality rates were 5.02%, 6.22%, 6.05% and readmission were 6.98\/1,000, 6.16\/1,000, 5.43\/1,000, respectively. For non-communicable diseases, the respective proportions in the prolonged LOS were 9.0%, 9.12%, and 7.58%, with respective hospital mortality being 10.65%, 8.86%, 6.62%, and readmissions were 17.79\/1,000, 13.94\/1,000, 13.19\/1,000, respectively. The respective prolonged LOS for injuries were 8.75%, 8.55%, 8.25%. Meanwhile, respective hospital mortality were 4.95%, 4.05%, 3.20%, and readmissions were 1.99\/1,000, 1.60\/1,000, 1.48\/1,000, respectively. The RW analysis reveals diverse impacts on resource utilization and costs. Most poverty-related and noncommunicable diseases indicate increased resource requirements and associated costs, except for HIV\/AIDS and diabetes mellitus, showing mixed trends. In injuries, road traffic accidents consistently decrease resource needs and costs, but suicide cases show mixed trends.<\/jats:p>\n<\/jats:sec>\n\nConclusions<\/jats:title>\nCOVID-19 had a more serious impact, especially prolonged LOS and hospital mortality for poverty-related diseases more than noncommunicable diseases and injuries.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0310090","type":"journal-article","created":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T17:26:21Z","timestamp":1726075581000},"page":"e0310090","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":2,"title":["COVID-19\u2019s impact on hospital stays, mortality, and readmissions for poverty-related diseases, noncommunicable diseases, and injury groups in Thailand"],"prefix":"10.1371","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3949-8048","authenticated-orcid":true,"given":"Satiti","family":"Palupi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyaw Ko Ko","family":"Htet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vorthunju","family":"Nakhonsri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chumpol","family":"Ngamphiw","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peerapat","family":"Khunkham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanya","family":"Vasoppakarn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Narumol","family":"Atthakul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sissades","family":"Tongsima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chantisa","family":"Keeratipusana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Watcharapot","family":"Janpoung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9850-4463","authenticated-orcid":true,"given":"Virasakdi","family":"Chongsuvivatwong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2024,9,11]]},"reference":[{"issue":"5","key":"pone.0310090.ref001","doi-asserted-by":"crossref","first-page":"1232","DOI":"10.1007\/s11606-022-08002-5","article-title":"Care Disruption During COVID-19: a National Survey of Hospital Leaders","volume":"38","author":"A Huggins","year":"2023","journal-title":"J Gen Intern Med"},{"key":"pone.0310090.ref002","unstructured":"World Health Organization. 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