Evidence mapPaperPMID 39707447Full record

ArticleReproductive health2024

Optimizing screening practice for gestational diabetes mellitus in primary healthcare facilities in Tanzania: research protocol.

Amani Kikula, Nathanael Sirili, Kaushik Ramaiya, José L Peñalvo, Andrea B Pembe, Lenka Beňová

Abstract read
In one paragraph

Article in Reproductive health, 2024. 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

6 authors.

Amani KikulaDepartment of Obstetrics and Gynaecology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania. amanikikula@live.com.
Nathanael SiriliDepartment of Development Studies, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Kaushik RamaiyaDepartment of Internal Medicine, Shree Hindu Mandal Hospital, Dar es Salaam, Tanzania.
José L PeñalvoFaculty of Medicine and Health Sciences, Global Health Institute, University of Antwerp, Antwerp, Belgium.
Andrea B PembeDepartment of Obstetrics and Gynaecology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Lenka BeňováDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTanzania, like most low- and middle-income countries, is facing an increasing prevalence of obesity in the general population, including among women of reproductive age. Excess weight pre-pregnancy is a risk factor for the onset of gestational diabetes mellitus (GDM), which is associated with several poor pregnancy outcomes. Screening for GDM, as a primary preventive measure, is not systematically done in Tanzania. This study aims to explore current practices of screening for GDM during routine antenatal care (ANC), estimate the prevalence of GDM among ANC users and compare the performance of two commonly used GDM screening algorithms. We will then explore the best ways for implementing a functional screening practice for GDM at primary level hospitals using perspectives of health care workers, health managers, and pregnant women.

methodsThis will be an observational cross-sectional study design with sequential mixed-methods approach conducted in ANC clinics of two primary level hospitals: Kisarawe District Hospital in Coast region and Mbagala Rangi Tatu Hospital in Dar es Salaam region, Tanzania. Quantitative data will be collected to determine the current structural capacity and screening practices for GDM, the prevalence of GDM among ANC users, and the sensitivity and specificity of the two recommended screening algorithms. Qualitative data will be collected through key informant interviews with health managers and pregnant women and focus group discussions with healthcare workers to understand the rationale, challenges, possible solutions and benefits of the used screening algorithm. We will also explore the meaning of screening/diagnosis to pregnant women, and propose a functional GDM screening algorithm informed by users (i.e. pregnant women, health managers and care workers). DISCUSSION: ANC is an entry point for pregnant women to access preventive services including screening for GDM. When done appropriately, GDM screening would reduce undesired outcomes attributed to GDM also beyond the pregnancy period. Through this study we will understand the bottlenecks and propose evidence to inform feasible ways to overcome them and establish a functional and standardized GDM screening service.

Indexed as

Diabetes, GestationalMass ScreeningPrenatal CarePrimary Health CareAdultCross-Sectional StudiesFemaleHumansPregnancyPrevalenceTanzaniaAntenatal careGestational diabetes mellitusMaternal morbidityMixed-methodsPregnancyScreeningSensitivity and specificityWomen

Identifiers

PMID39707447
PMCPMC11662806

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.