Evidence map›Paper›PMID 34561263›Full record

ArticleBMJ open2021

Exploring digital health interventions to support community health workers in low-and-middle-income countries during the COVID-19 pandemic: a scoping review protocol.

Anam Shahil Feroz, Komal Valliani, Hajra Khwaja, Sehrish Karim

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

4 authors.

Anam Shahil FerozCommunity Health Sciences, Aga Khan University, Karachi, Pakistan anam.shahil@mail.utoronto.ca.ORCID 0000-0003-0180-0213
Komal VallianiAga Khan Development Network Digital Health Resource Centre, Aga Khan University, Karachi, Pakistan.ORCID 0000-0002-0427-1794
Hajra KhwajaCommunity Health Sciences, Aga Khan University, Karachi, Pakistan.
Sehrish KarimDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCOVID-19 has significantly affected community health workers' (CHWs) performance as they are expected to perform pandemic-related tasks along with routine essential healthcare services. A plausible way to optimise CHWs' functioning during this pandemic is to couple the efforts of CHWs with digital tools. So far, no systematic evidence is available on the use of digital health interventions to support CHWs in low-middle-income countries (LMICs) amid the COVID-19 pandemic. The article describes a protocol for a scoping review of primary research studies that aim to map evidence on the use of unique digital health interventions to support CHWs during COVID-19 in LMICs. METHODS AND ANALYSIS: Our methodology has been adapted from scoping review guidelines provided by Arksey and O'Malley, Levac ETHICS AND DISSEMINATION: Formal ethical approval is not required, as primary data will not be collected in this study. The results from our scoping review will provide valuable insight into the use of digital health interventions to optimise CHWs' functioning and will reveal current knowledge gaps in research. The results will be disseminated through journal publications and conference presentations.

Indexed as

COVID-19Developing CountriesCommunity Health WorkersHumansPandemicsResearch DesignSARS-CoV-2Scoping Reviews as Topichealth informaticspublic health

Identifiers

PMID34561263
PMCPMC8474078

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.