Evidence map›Paper›PMID 33390163›Full record

ArticleArchives of public health = Archives belges de sante publique2021

Equipping community health workers with digital tools for pandemic response in LMICs.

Anam Shahil Feroz, Adeel Khoja, Sarah Saleem

Open access · goldAbstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
16.3field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 173 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A mixed methods evaluation of the impact of ECHOHuman resources for health · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors at 1 institution in 3 countries.

Anam Shahil FerozDepartment of Community Health Sciences, The Aga Khan University, Stadium Road, PO Box 3500, Karachi, 74800, Pakistan. anam.sahyl@gmail.com.ORCID http://orcid.org/0000-0003-0180-0213
Adeel KhojaDepartment of Medicine, The Aga Khan University, Stadium Road, PO Box 3500, Karachi, 74800, Pakistan.
Sarah SaleemDepartment of Community Health Sciences, The Aga Khan University, Stadium Road, PO Box 3500, Karachi, 74800, Pakistan.
Aga Khan University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunity health workers (CHWs) are well-positioned to play a pivotal role in fighting the pandemic at the community level. The Covid-19 outbreak has led to a lot of stress and anxiety among CHWs as they are expected to perform pandemic related tasks along with the delivery of essential healthcare services. In addition, movement restrictions, lockdowns, social distancing, and lack of protective gear have significantly affected CHWs' routine workflow and performance. To optimize CHWs' functioning, there is a renewed interest in supporting CHWs with digital technology to ensure an appropriate pandemic response. DISCUSSION: The current situation has necessitated the use of digital tools for the delivery of Covid-19 related tasks and other essential healthcare services at the community level. Evidence suggests that there has been a significant digital transformation to support CHWs in these critical times such as remote data collection and health assessments, the use of short message service and voice message for health education, use of digital megaphones for encouraging behavior change, and digital contract tracing. A few LMICs such as Uganda and Ethiopia have been successful in operationalizing digital tools to optimize CHWs' functioning for Covid-19 tasks and other essential health services.

conclusionYet, in most LMICs, there are some challenges concerning the feasibility and acceptability of using digital tools for CHWs during the Covid-19 pandemic. In most cases, CHWs find it difficult to adopt and use digital health solutions due to lack of training on new digital tools, weak technical support, issues of internet connectivity, and other administrative related challenges. To address these challenges, engaging governments would be essential for training CHWs on user-friendly digital health solutions to improve routine workflow of CHWs during the Covid-19 pandemic.

Indexed as

Community health workers (CHWs)Covid-19Digital toolsLow-middle-income countries

Identifiers

PMID33390163
PMCPMC7779158
OpenAlexW3118697954

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.