Evidence map›Paper›PMID 34197492›Full record

ArticlePloS one2021

Hospital admission for type 2 diabetes mellitus under the Universal Coverage Scheme in Thailand: A time- and geographical-trend analysis, 2009-2016.

Tanapat Laowahutanon, Haruyo Nakamura, Hisateru Tachimori, Shuhei Nomura, Tippawan Liabsuetrakul, Apiradee Lim, Petch Rawdaree, Netnapis Suchonwanich, Hiroyuki Yamamoto, Aya Ishizuka and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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

13 authors at 5 institutions in 2 countries.

Tanapat LaowahutanonNational Health Security Office, Bangkok, Thailand.
Haruyo NakamuraInternational Development Center of Japan Inc., Tokyo, Japan.
Hisateru TachimoriInstitute for Global Health Policy Research (iGHP), Bureau of International Health Cooperation National Center for Global Health and Medicine, Shinjuku City, Japan.ORCID 0000-0001-6401-2885
Shuhei NomuraDepartment of Health Policy and Management, Keio University School of Medicine, Minato City, Japan.
Tippawan LiabsuetrakulEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Apiradee LimDepartment of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University Pattani Campus, Pattani, Thailand.
Petch RawdareeDepartment of Internal Medicine, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand.
Netnapis SuchonwanichThe Health Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.
Hiroyuki YamamotoDepartment of Health Policy and Management, Keio University School of Medicine, Minato City, Japan.ORCID 0000-0003-3337-7595
Aya IshizukaInstitute for Global Health Policy Research (iGHP), Bureau of International Health Cooperation National Center for Global Health and Medicine, Shinjuku City, Japan.
Kenji ShibuyaSoma COVID Vaccination Medical Center, Fukushima, Japan.
Hiroaki MiyataDepartment of Health Policy and Management, Keio University School of Medicine, Minato City, Japan.
Virasakdi ChongsuvivatwongEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID 0000-0002-9850-4463
Keio University · JPPrince of Songkla University · THHealth Intervention and Technology Assessment Program · THNavamindradhiraj University · THSocial Security Office (Thailand) · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDescriptive analyses of 2009-2016 were performed using the data of the Universal Coverage Scheme (UCS) which covers nearly 70 percent of the Thai population. The analyses described the time and geographical trends of nationwide admission rates of type 2 diabetes mellitus (T2DM) and its complications, including chronic kidney disease (CKD), myocardial infarction, cerebrovascular diseases, retinopathy, cataract, and diabetic foot amputation. METHODS AND

findingsThe database of T2DM patients aged 15-100 years who were admitted between 2009 and 2016 under the UCS and that of the UCS population were retrieved for the analyses. The admitted cases of T2DM were extracted from the database using disease codes of principal and secondary diagnoses defined by the International Classification of Diseases 9th and 10th Revisions. The T2DM admission rates in 2009-2016 were the number of admissions divided by the number of the UCS population. The standardized admission rates (SARs)were further estimated in contrast to the expected number of admissions considering age and sex composition of the UCS population in each region. A linearly increased trend was found in T2DM admission rates from 2009 to 2016. Female admission rates were persistently higher than that of males. In 2016, an increase in the T2DM admission rates was observed among the older ages relative to that in 2009. Although the SARs of T2DM were generally higher in Bangkok and central regions in 2009, except that with CKD and foot amputation which had higher trends in northeastern regions, the geographical inequalities were fairly reduced by 2016.

conclusionAdmission rates of T2DM and its major complications increased in Thailand from 2009 to 2016. Although the overall geographical inequalities in the SARs of T2DM were reduced in the country, further efforts are required to improve the health system and policies focusing on risk factors and regions to manage the increasing T2DM.

Indexed as

AdolescentAdultAgedAged, 80 and overCataractDiabetes ComplicationsDiabetes Mellitus, Type 2Diabetic FootDiabetic RetinopathyFemaleHumansMaleMiddle AgedMyocardial InfarctionPatient AdmissionRenal Insufficiency, Chronic

Identifiers

PMID34197492
PMCPMC8248737
OpenAlexW3173765752

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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.