Evidence map›Paper›PMID 40230966›Full record

ArticleOxford open digital health2024

Feasibility and acceptability of a digital tool to support community-based screening for COVID-19 and other priority medical conditions across rural and peri-urban communities in Guinea.

Nasser Diallo, Mamadou Bobo, Aboubacar Diallo, Abdoul Karim Baldé, Alpha Oumar Bah, Mamady Kourouma, Mamady Cisse, Nick Banks, Rigveda Kadam, Khairunisa Suleiman and 1 more

Abstract read
In one paragraph

Article in Oxford open digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

11 authors.

Nasser DialloClinic+O, Nongo, Commune de Ratoma, Conakry, Guinea.
Mamadou BoboClinic+O, Nongo, Commune de Ratoma, Conakry, Guinea.
Aboubacar DialloIndependent Consultant, Unit 4, 294 Castlehill Dr, Blackheath, Johannesburg, 2195 South Africa.
Abdoul Karim BaldéClinic+O, Nongo, Commune de Ratoma, Conakry, Guinea.
Alpha Oumar BahClinic+O, Nongo, Commune de Ratoma, Conakry, Guinea.
Mamady KouroumaDepartment of Community Health, Ministry of Health, Blvd de commerce, Conakry, Guinea.
Mamady CisseDepartment of Community Health, Ministry of Health, Blvd de commerce, Conakry, Guinea.
Nick BanksFIND, Campus Biotech, Chemin des Mines 9, 1202 Geneva, Switzerland.
Rigveda KadamFIND, Campus Biotech, Chemin des Mines 9, 1202 Geneva, Switzerland.
Khairunisa SuleimanFIND, Campus Biotech, Chemin des Mines 9, 1202 Geneva, Switzerland.
Paula AkugizibweFIND, Campus Biotech, Chemin des Mines 9, 1202 Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to primary healthcare, including diagnostic testing, is limited in Guinea, particularly for low-income residents of rural communities. Here we share findings from an interventional operational research study evaluating the feasibility of deploying a digital tool and rapid diagnostic tests to support community-based testing for priority medical conditions across three rural and peri-urban communities in Guinea. An existing web-based application was modified to include integrated symptom screening for malaria and COVID-19, maximize workflow efficiency and conduct end-to-end data capture on tablet devices. Using the application, community health workers screened participants for symptoms of malaria and COVID-19, with eligible participants tested using rapid diagnostic tests. All participants also underwent blood pressure and blood glucose measurements, while malnutrition screening was offered to pregnant women or children under 5 years. Services were provided to residents through mass consultations and home care visits across the study locations. The intervention reached 5204 people overall, with 3241 people enrolled via the application. 32.4% and 15.8% of participants had elevated blood pressure and blood glucose levels, the majority of whom were previously undiagnosed. Of those tested for malaria, 3.2% (

Indexed as

community-based screeningdiagnosisdigitalGuineamalariaNCDs

Identifiers

PMID40230966
PMCPMC11932417

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.