Evidence map›Paper›PMID 39438837›Full record

ArticleBMC public health2024

High-cost users still came to hospitals during the COVID-19 pandemic during first wave data in Thailand: secondary data analysis.

Picharee Karunayawong, Piyada Gaewkhiew, Myka Harun Sarajan, Chulathip Boonma, Rukmanee Butchon, Jarawee Sukmanee, Thanayut Saeraneesopon, Yot Teerawattananon, Wanrudee Isaranuwatchai

Abstract read
In one paragraph

Article in BMC public health, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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.

Picharee KarunayawongHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Piyada GaewkhiewHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand. piyada.gaw@mahidol.edu.
Myka Harun SarajanHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Chulathip BoonmaHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Rukmanee ButchonHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Jarawee SukmaneeHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Thanayut SaeraneesoponHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Yot TeerawattananonHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Wanrudee IsaranuwatchaiHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.

Funding

Health Systems Research Institute (HSRI), Thailand 64281002RM002L0
6 · The paper itself

Abstract

backgroundThe phenomenon of high-cost users (HCUs) in health care occurs when a small proportion of patients account for a large proportion of health care expenditures. By understanding this phenomenon during the COVID-19 pandemic, tailored interventions can be provided to ensure that patients receive the care they need and reduce the burden on the health system.

objectivesThis study aimed to determine (1) whether the HCUs phenomenon occurred during the pandemic in Thailand by exploring the pattern of inpatient health expenditures over time from 2016 to 2021; (2) the patient characteristics of HCUs; (3) the top 5 primary diagnoses of HCUs; and (4) the potential predictors associated with being an HCU.

methodsThe secondary data analysis was conducted via inpatient department (IPD) e-Claim data from the National Health Security Office for the Universal Coverage Scheme, which provides health care to ~ 80% of the Thai population. Health care expenditure over time was calculated, and the characteristics of the population were examined via descriptive analysis. Multinomial logistic regression was applied to explore the potential predictors associated with being an HCU.

resultsThe characteristics of HCUs remained relatively the same from 2016 to 2021. In terms of the proportion of male (55%) to female patients (45%), the age ranged from 55 to 57 years, with an estimated 8-day length of hospital stay and 7 admissions per year, and the average health care cost per patient was ≥ USD 2,860 (100,000 THB). The low-cost users (LCUs) group (the bottom 50% of the population), had more female patients (55%), a younger age ranging from 27 to 33 years, a 3-day length of stay, 1‒2 admissions per year, and a lower average health care cost per patient, which was less than USD 315 (≤ 11,000 THB).

conclusionThe HCUs phenomenon still existed even with limited health care accessibility or lockdown measures implemented during the COVID-19 pandemic. This finding could indicate the uniqueness of the need for health services by HCUs, which differ from those of other population groups. By understanding the trends of health care utilization and expenditure, along with potential predictors associated with being an HCU, policies can be introduced to ensure the appropriate allocation of health resources to the right people in need of the right care during future pandemics.

Indexed as

COVID-19Health ExpendituresAdolescentAdultAgedChildChild, PreschoolFemaleHospitalizationHumansInfantMaleMiddle AgedPandemicsSecondary Data AnalysisThailandBig DataCOVID-19Data ScienceHealth ExpenditureHigh-Cost UsersThailand

Identifiers

PMID39438837
PMCPMC11494780

What Socratic holds

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LicenceCC BY
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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 Socratic graph.