Evidence map›Paper›PMID 40018572›Full record

ArticleBMJ public health2024

Economic impact of COVID-19 on patients with type 2 diabetes in Kenya and Tanzania: a costing analysis.

Caroline H Karugu, Peter Binyaruka, Patrick G Ilboudo, Richard E Sanya, Shukri F Mohamed, Lyagamula Kisia, Peter Kibe, Irene Mashiashi, Christopher Bunn, F Mair and 6 more

Abstract read
In one paragraph

Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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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

16 authors.

Caroline H KaruguChronic Diseases Management, African Population and Health Research Center, Nairobi, Kenya.ORCID 0000-0002-6914-9714
Peter BinyarukaIfakara Health Institute, Dar es Salaam, Tanzania.ORCID 0000-0002-1892-7985
Patrick G IlboudoMaternal and Child Wellbeing Unit, African Population and Health Research Center, Nairobi, Kenya.ORCID 0000-0003-1956-6971
Richard E SanyaChronic Diseases Management, African Population and Health Research Center, Nairobi, Kenya.ORCID 0000-0001-6348-9075
Shukri F MohamedChronic Diseases Management, African Population and Health Research Center, Nairobi, Kenya.ORCID 0000-0002-8693-1943
Lyagamula KisiaChronic Diseases Management, African Population and Health Research Center, Nairobi, Kenya.ORCID 0000-0002-2045-6158
Peter KibeChronic Diseases Management, African Population and Health Research Center, Nairobi, Kenya.
Irene MashiashiIfakara Health Institute, Dar es Salaam, Tanzania.
Christopher BunnInstitute of Public Health, University of Glasgow College of Social Sciences, Glasgow, UK.ORCID 0000-0001-6604-1305
F MairGeneral Practice and Primary Care, University of Glasgow, Glasgow, UK.
Charles AgyemangPublic and Occupation Health, Amsterdam Medical Center, University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands.
Sally M MtengaDepartment of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Dar es Salaam, Tanzania.
Gershim AsikiHealth and well-being- Chronic disease management, African Population and Health Research Center, Nairobi, Kenya.
Cindy M GraySchool of Social and Political Sciences, University of Glasgow, Glasgow, UK.ORCID 0000-0002-4295-6110
Eleanor GrieveInstitute of Health and Wellbeing, University of Glasgow College of Medical Veterinary and Life Sciences, Glasgow, UK.
Manuela DeiddaInstitute of Health and Wellbeing, University of Glasgow College of Medical Veterinary and Life Sciences, Glasgow, UK.ORCID 0000-0002-0921-6970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: COVID-19 affected healthcare access, utilisation and affordability, especially for patients suffering from chronic diseases, including type 2 diabetes (T2D). This study measured the occurrence and magnitude of changes in healthcare and broader societal costs among patients with T2D before and during COVID-19 in Kenya and Tanzania to understand whether and how COVID-19 affected T2D management in countries implementing different policies during the pandemic. Methods: A cross-sectional study was conducted in Kenya and Tanzania in March-April 2022 among 500 patients with T2D in each country. We interviewed patients on direct healthcare costs (eg, inpatient and outpatient costs), societal costs (eg, productivity loss) and patients' characteristics before and during the COVID-19 pandemic. We estimated changes over time using the Generalised Linear Model in Kenya and a two-part model in Tanzania, adjusting for patient-level covariates. Results: The overall costs of management of T2D in most categories increased in both countries during COVID-19, but some of the increase was not significant. Transport and testing costs increased significantly in Tanzania (I$0.33, p<0.01 and I$0.85, p<0.01) but not in Kenya (I$1.69, p=0.659 and I$0.10, p=0.603). Outpatient costs increased significantly in Tanzania (I$8.84, p<0.01) but there was no significant change in Kenya (I$8.09, p=0.432). T2D medication costs did not change in Tanzania (I$0.19, p=0.197), but decreased significantly in Kenya (I$18.48, p<0.01). Productivity losses increased significantly in both countries. Conclusion: The COVID-19 pandemic is associated with increased direct costs but with a significant increase in many cost categories (transport, testing and outpatient) in Tanzania than in Kenya. A significant increase in productivity loss was observed in both countries. The minimal cost increases in Kenya may be due to the inaccessibility of services associated with lockdown measures and higher insurance coverage compared with Tanzania. Pandemic preparedness initiatives and interventions are needed to safeguard the welfare of patients with chronic conditions during pandemics.

Indexed as

COVID-19Cross-Sectional StudieseconomicsPublic Health

Identifiers

PMID40018572
PMCPMC11816087

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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.