Evidence map›Paper›PMID 35206818›Full record

ArticleHealthcare (Basel, Switzerland)2022

Information Flow and Data Gaps in COVID-19 Recording and Reporting at National and Provincial Levels in Indonesia.

Diana Barsasella, Arief Tarmansyah Iman, Fery Fadly, Mohy Uddin, Arshad Mohammed, Tazeem Shaik, Hermawan Saputra, Shwetambara Malwade, Eshita Dhar, Zakiah and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Diana BarsasellaGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 106, Taiwan.ORCID 0000-0002-6063-7711
Arief Tarmansyah ImanDepartment of Medical Record and Health Information, Health Polytechnic of the Ministry of Health Tasikmalaya, Tasikmalaya 46115, West Java, Indonesia.
Fery FadlyDepartment of Medical Record and Health Information, Health Polytechnic of the Ministry of Health Tasikmalaya, Tasikmalaya 46115, West Java, Indonesia.ORCID 0000-0001-6054-3304
Mohy UddinResearch Quality Management Section, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard-Health Affairs, Riyadh 11481, Saudi Arabia.
Arshad MohammedNorthside Clinics, Hyderabad 500082, India.
Tazeem ShaikNorthside Clinics, Hyderabad 500082, India.
Hermawan SaputraDepartment of Postgraduate, University of Muhammadiyah Prof Dr Hamka, Jakarta 12130, Indonesia.
Shwetambara MalwadeInternational Center for Health Information Technology (ICHIT), College of Medical Science and Technology, Taipei Medical University, Taipei 106, Taiwan.
Eshita DharGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 106, Taiwan.
ZakiahHealth Department of Depok City, Depok 16431, West Java, Indonesia.
NurhadiHealth Department of Depok City, Depok 16431, West Java, Indonesia.
Jitendra JonnagaddalaSchool of Public Health and Community Medicine, University of New South Wales, Kensington, NSW 2033, Australia.ORCID 0000-0002-9912-2344
Shabbir Syed-AbdulGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 106, Taiwan.ORCID 0000-0002-0412-767X

Funding

Ministry of Education, Taiwan 108-6604-002-400Ministry of Science and Technology, Taiwan 108-2221-E-038-013, 110-2923-E-038 -001 -MY3Taipei Medical University, Taiwan 108-3805-009-110, 109-3800-020-400Wanfang hospital, Taiwan 106TMU-WFH-01-4
6 · The paper itself

Abstract

Epidemiological surveillance is an essential component of public health practice especially during infectious disease outbreaks. It is critical to offer transparent epidemiological information in a rigorous manner at different regional levels in countries for managing the outbreak situations. The objectives of this research are to better understand the information flow of COVID-19 health monitoring systems and to determine the data gaps of COVID-19 incidence at the national and provincial levels in Indonesia. COVID-19 information flow was researched using government websites at the national and various provincial levels. To find the disparities, we assessed the number of cases reported at both levels at the same time and displayed the absolute and relative differences. The findings revealed that out of a total of 34 provinces in Indonesia, data differences were seen in 25 (73.52%) provinces in terms of positive cases, 31 (91.18%) provinces in terms of cured cases, and 28 (82.35%) provinces of the number of deaths. Our results showed a pressing need for high-quality, transparent, and timely information. The integration of COVID-19 data in Indonesia has not been optimal, implying that the reported COVID-19 incidence rate may be biased or delayed. COVID-19 incidents must be better monitored to disrupt the disease's transmission chain.

Indexed as

COVID-19 reportingdata collectionhealthcare systemhealth surveillanceinformation flow

Identifiers

PMID35206818
PMCPMC8872239

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.