Evidence map›Paper›PMID 37986070›Full record

ArticleBMC public health2023

Integration of point-of-care screening for type 2 diabetes mellitus and hypertension into the COVID-19 vaccine programme in Johannesburg, South Africa.

Alana T Brennan, Beatrice Vetter, Sithabiso D Masuku, Bukelwa Mtshazo, Nkuli Mashabane, Simiso Sokhela, Willem Df Venter, Kekeletso Kao, Gesine Meyer-Rath

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. 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, top 78% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  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

9 authors at 3 institutions in 3 countries.

Alana T BrennanDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA. abrennan@bu.edu.
Beatrice VetterFIND, Geneva, Switzerland.
Sithabiso D MasukuHealth Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Bukelwa MtshazoWits Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Nkuli MashabaneWits Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Simiso SokhelaWits Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Willem Df VenterWits Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Kekeletso KaoFIND, Geneva, Switzerland.
Gesine Meyer-RathDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.
University of the Witwatersrand · ZABoston University · USFIND · CH

Funding

Evidence of the burden of diabetes, gaps in the diabetes cascade-of-care and the impact of care and treatment on diabetes outcomes in HIV-positive and HIV-negative patients in South AfricaK01DK116929 · NIDDK · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BRENNAN, ALANA TERESA · 2019 to 2023
$866k
NIDDK NIH HHS K01 DK116929
6 · The paper itself

Abstract

backgroundSouth Africa grapples with a substantial burden of non-communicable diseases (NCDs), particularly type 2 diabetes (diabetes) and hypertension. However, these conditions are often underdiagnosed and poorly managed, further exacerbated by the strained primary healthcare (PHC) system and the disruptive impact of the COVID-19 pandemic. Integrating NCD screening with large-scale healthcare initiatives, such as COVID-19 vaccination campaigns, offers a potential solution, especially in low- and middle-income countries (LMICs). We investigated the feasibility and effectiveness of this integration.

methodsA prospective cohort study was conducted at four government health facilities in Johannesburg, South Africa. NCD screening was incorporated into the COVID-19 vaccination campaign. Participants underwent COVID-19 rapid tests, blood glucose checks, blood pressure assessments, and anthropometric measurements. Those with elevated blood glucose or blood pressure values received referrals for diagnostic confirmation at local PHC centers.

resultsAmong 1,376 participants screened, the overall diabetes prevalence was 4.1%, combining previously diagnosed cases and newly identified elevated blood glucose levels. Similarly, the hypertension prevalence was 19.4%, comprising pre-existing diagnoses and newly detected elevated blood pressure cases. Notably, 46.1% of participants displayed waist circumferences indicative of metabolic syndrome, more prevalent among females. Impressively, 7.8% of all participants screened were potentially newly diagnosed with diabetes or hypertension. Approximately 50% of individuals with elevated blood glucose or blood pressure successfully linked to follow-up care within four weeks.

conclusionOur study underscores the value of utilizing even brief healthcare interactions as opportunities for screening additional health conditions, thereby aiding the identification of previously undiagnosed cases. Integrating NCD screenings into routine healthcare visits holds promise, especially in resource-constrained settings. Nonetheless, concerted efforts to strengthen care linkage are crucial for holistic NCD management and control. These findings provide actionable insights for addressing the NCD challenge and improving healthcare delivery in LMICs.

Indexed as

COVID-19Diabetes MellitusDiabetes Mellitus, Type 2HypertensionNoncommunicable DiseasesBlood GlucoseCOVID-19 VaccinesFemaleHumansPandemicsPoint-of-Care SystemsProspective StudiesSouth AfricaBlood GlucoseCOVID-19 VaccinesCOVID-19 vaccineDiabetesHypertensionMetabolic syndromeObesityOpportunistic screeningSouth Africa

Identifiers

PMID37986070
PMCPMC10662646
OpenAlexW4388825653

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LicenceCC BY
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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.