Evidence map›Paper›PMID 36044109›Full record

ArticleHealth economics review2022

Predicting the cost of COVID-19 treatment and its drivers in Indonesia: analysis of claims data of COVID-19 in 2020-2021.

Ryan R Nugraha, Mutia A Pratiwi, Ruli Endepe Al-Faizin, Ardian Budi Permana, Ery Setiawan, Yuli Farianty, Kalsum Komaryani, Hasbullah Thabrany

Open access · goldAbstract read
In one paragraph

Article in Health economics review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Ryan R NugrahaUSAID Health Financing Activity/ThinkWell, LLC, Plaza Bank Index, Level 11, Jalan M.H. Thamrin No.57, RW.5, Gondangdia, Kec. Menteng, Central Jakarta, 10350, Indonesia.
Mutia A PratiwiUSAID Health Financing Activity/ThinkWell, LLC, Plaza Bank Index, Level 11, Jalan M.H. Thamrin No.57, RW.5, Gondangdia, Kec. Menteng, Central Jakarta, 10350, Indonesia. apratiwi@thinkwell.global.ORCID http://orcid.org/0000-0003-3077-3234
Ruli Endepe Al-FaizinUSAID Health Financing Activity/ThinkWell, LLC, Plaza Bank Index, Level 11, Jalan M.H. Thamrin No.57, RW.5, Gondangdia, Kec. Menteng, Central Jakarta, 10350, Indonesia.
Ardian Budi PermanaCenter of Health Financing and Decentralization Policy, Ministry of Health, Jalan Percetakan Negara No.29, Rawasari, Kec. Johar Baru, Central Jakarta, Indonesia.
Ery SetiawanUSAID Health Financing Activity/ThinkWell, LLC, Plaza Bank Index, Level 11, Jalan M.H. Thamrin No.57, RW.5, Gondangdia, Kec. Menteng, Central Jakarta, 10350, Indonesia.
Yuli FariantyCenter of Health Financing and Decentralization Policy, Ministry of Health, Jalan Percetakan Negara No.29, Rawasari, Kec. Johar Baru, Central Jakarta, Indonesia.
Kalsum KomaryaniCenter of Health Financing and Decentralization Policy, Ministry of Health, Jalan Percetakan Negara No.29, Rawasari, Kec. Johar Baru, Central Jakarta, Indonesia.
Hasbullah ThabranyUSAID Health Financing Activity/ThinkWell, LLC, Plaza Bank Index, Level 11, Jalan M.H. Thamrin No.57, RW.5, Gondangdia, Kec. Menteng, Central Jakarta, 10350, Indonesia.
Bank Indonesia · IDMinistry of Health · ID

Funding

USAID 72049719C00002
6 · The paper itself

Abstract

backgroundRecent Coronavirus Disease-19 (COVID-19) pandemic shows that health system, particularly hospital care, takes the highest toll on COVID-19. As hospital gets to manage the surge of COVID-19 cases, it is important to standardize treatment standard and package for COVID-19. Until recently, in Indonesia, COVID-19 curative package in hospital is paid using a retrospective payment system (claims system) using a per-diem rate. Quantifying standard cost using an established retrospective claims dataset is important as a basis for standard formulation for COVID-19 package treatment, should COVID-19 be accommodated into the benefit package for Universal Health Coverage (UHC) under the National Health Insurance.

methodsWe estimated a standard cost for COVID-19 treatment using provider's perspective. The analysis was conducted retrospectively using established national COVID-19 claims dataset during January 2020 until 2021. Utilizing individual-or-patient level analysis, claims profile were broken down per-patient, yielding descriptive clinical and care-related profile. Estimate of price and charge were measured in average. Moreover, indicators were regressed to the total charged price (in logarithmic scale) so as to find the predictors of cost.

resultsBased on the analysis of 102,065 total claims data received by MOH in 2020-2021, there is an average claim payment for COVID-19 in the amount of IDR 74,52 million (USD$ 5175). Significant difference exists in hospital tariffs or price to the existing claims data, indicating profit for hospital within its role in managing COVID-19 cases. Claim amount predictors were found to be associated with change of claim amount, including high level of severity, hospital class, intensive care room occupancy and ventilator usage, as well as mortality.

conclusionAs COVID-19 pandemic shifts towards an endemic, countries including Indonesia need to reflect on the existing payment system and move towards a more sustainable payment mechanism for COVID-19. The COVID-19 payment system needs to be integrated into the existing national health insurance allowing bundled payment to become more sustainable, which can be achieved by comprehensively formulating the bundled payment package for COVID-19.

Indexed as

Claim paymentCOVID-19IndonesiaMedical costRetrospective payment

Identifiers

PMID36044109
PMCPMC9428372
OpenAlexW4293770847

What OpenQuestion holds

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LicenceCC BY
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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.