Evidence map›Paper›PMID 35227263›Full record

ArticleBMC health services research2022

Using Andersen's model of health care utilization to assess factors associated with COVID-19 testing among adults in nine low-and middle-income countries: an online survey.

Supa Pengid, Karl Peltzer, Edlaine Faria de Moura Villela, Joseph Nelson Siewe Fodjo, Ching Sin Siau, Won Sun Chen, Suzanna A Bono, Isareethika Jayasvasti, M Tasdik Hasan, Rhoda K Wanyenze and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

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  16. Retention in Community Health Screening among Taiwanese Adults: A 9-Year Prospective Cohort Study.International journal of environmental research and public health · 2022
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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

15 authors at 13 institutions in 13 countries.

Supa PengidDepartment of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, 10400, Thailand.
Karl PeltzerDepartment of Research Administration and Development, University of Limpopo, Polokwane, South Africa. kfpeltzer@gmail.com.
Edlaine Faria de Moura VillelaDisease Control Coordination, São Paulo State Health Department, São Paulo, 01246-000, Brazil.
Joseph Nelson Siewe FodjoGlobal Health Institute, University of Antwerp, 2000, Antwerp, Belgium.
Ching Sin SiauCentre for Community Health Studies (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, 50300, Kuala Lumpur, Malaysia.
Won Sun ChenDepartment of Health Science and Biostatistics, Faculty of Health, Arts and Design, Swinburne University of Technology, Hawthorn, VIC, 3122, Australia.
Suzanna A BonoSchool of Social Science, Universiti Sains Malaysia, 11800, Gelugor, Malaysia.
Isareethika JayasvastiInstitute of Nutrition, Mahidol University, Nakhon Pathom, 73170, Thailand.
M Tasdik HasanJeeon Bangladesh Ltd., Dhaka, Bangladesh.
Rhoda K WanyenzeSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Mina C HosseinipourUniversity of North Carolina UNC Project Malawi, Lilongwe, Malawi.
Housseini DoloInternational Center of Excellence in Research, Faculty of Medicine and OdontoStomatology, Bamako, Mali.
Philippe SessouResearch Unit on Communicable Diseases, Polytechnic School of Abomey-Calavi, University of Abomey-Calavi, Cotonou 01, BP, 526, Benin.
John D DitekemenaKinshasa School of Public Health, University of Kinshasa, Kinshasa, 7948, Democratic Republic of the Congo.
Robert ColebundersGlobal Health Institute, University of Antwerp, 2000, Antwerp, Belgium.
Mahidol University · THUniversity of Antwerp · BEMakerere University · UGNational University of Malaysia · MYSwinburne University of Technology · AUUniversidade Federal de Goiás · BRUniversité d'Abomey-Calavi · BJUniversiti Sains Malaysia · MYUniversity of Bamako · MLUniversity of Kinshasa · CDUniversity of Limpopo · ZAUniversity of Liverpool · GBUniversity of Malawi · MW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate, using Andersen's model of health care utilization, factors associated with COVID-19 testing among adults in nine low- and middle- income countries.

methodsIn between 10 December 2020 and 9 February 2021, an online survey was organized in nine low- and middle-income countries. In total 10,183 adults (median age 45 years, interquartile range 33-57 years, range 18-93 years), including 6470 from Brazil, 1738 Malaysia, 1124 Thailand, 230 Bangladesh, 219 DR Congo, 159 Benin, 107 Uganda, 81 Malawi and 55 from Mali participated in the study. COVID-19 testing/infection status was assessed by self-report.

resultsOf the 10,183 participants, 40.3% had ever tested for COVID-19, 7.3% tested positive, and 33.0% tested negative. In an adjusted logistic regression model, predisposing factors (residing in Brazil, postgraduate education), enabling/disabling factors (urban residence, higher perceived economic status, being a student or worker in the health care sector, and moderate or severe psychological distress), and need factors (having at least one chronic condition) increased the odds of COVID-19 testing. Among those who were tested, participants residing in Bangladesh, those who had moderate to severe psychological distress were positively associated with COVID-19 positive diagnosis. Participants who are residing in Malaysia and Thailand, and those who had higher education were negatively associated with a COVID-19 positive diagnosis. Considering all participants, higher perceived economic status, being a student or worker in the health sector, and moderate or severe psychological distress were positively associated with a COVID-19 positive diagnosis, and residing in Malaysia, Thailand or five African countries was negatively associated with a COVID-19 positive diagnosis.

conclusionA high rate of COVID-19 testing among adults was reported in nine low-and middle-income countries. However, access to testing needs to be increased in Africa. Moreover, COVID-19 testing programmes need to target persons of lower economic status and education level who are less tested but most at risk for COVID-19 infection.

Indexed as

COVID-19Developing CountriesAdultBeninCOVID-19 TestingHumansMiddle AgedPatient Acceptance of Health CareSARS-CoV-2adultsCOVID-19LMICstesting

Identifiers

PMID35227263
PMCPMC8882718
OpenAlexW4214653152

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.