Evidence map›Paper›PMID 35854308›Full record

ArticleBMC health services research2022

The viability of utilising phone-based text messages in data capture and reporting morbidities due to lymphatic Filariasis by community health workers: a qualitative study in Kilwa district, Tanzania.

Akili Kalinga, Michael Munga, Abdallah Ngenya, Winfrida John, William Kisoka, Ndekya Oriyo, Prince Mutalemwa, Wilfred Mandara, Leonard Masagati, John Ogondiek and 7 more

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Trial
  3. Crowdsourced surveillance for neglected tropical diseases, Nigeria.Bulletin of the World Health Organization · 2025
    Article
  4. 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

17 authors.

Akili KalingaNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania. kalingaaka@yahoo.com.
Michael MungaNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania.
Abdallah NgenyaNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania.
Winfrida JohnNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania.
William KisokaNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania.
Ndekya OriyoNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania.
Prince MutalemwaNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania.
Wilfred MandaraNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania.
Leonard MasagatiNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania.
John OgondiekNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania.
Patricia KorirInstitute for Medical Microbiology, Immunology and Parasitology (IMMIP), Bonn, Germany.
Ute Klarmann-SchulzInstitute for Medical Microbiology, Immunology and Parasitology (IMMIP), Bonn, Germany.
Sacha HornDivision of Infectious Diseases and Tropical Medicine, University Hospital Munich, Ludwig-Maximilians-Universität (LMU), Munich, Germany.
Inge KroidlDivision of Infectious Diseases and Tropical Medicine, University Hospital Munich, Ludwig-Maximilians-Universität (LMU), Munich, Germany.
Alex DebrahKwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Achim HoeraufInstitute for Medical Microbiology, Immunology and Parasitology (IMMIP), Bonn, Germany.
Upendo MwingiraNational Institute for Medical Research (NIMR), Headquarters, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, there is recognition of the value of using mobile phones among health providers in improving health systems performance. However, in many Low- and Middle-income countries where there is shortage of health providers, Community Health Workers have assumed some responsibilities especially relating to identifying and reporting on health problems within their communities. Despite the known benefits of using mobile phone technology to deliver health services, there is limited information on the extent to which Community Health Workers are able to effectively use the technology in data collection and reporting. The aim of this study was to determine the feasibility of utilizing phone-based text messages on Lymphatic Filariasis morbidity surveillance by Community Health Workers.

methodsThis was a cross sectional study whose data was collected through key informant interviews and focused group discussions among community health workers, health providers and staff of neglected tropical diseases control program. Collected transcripts were analysed through Thematic content analysis as it allowed for the identification of data codes through inductive reasoning.

resultsThe use of mobile phone-based text messages in data collection and reporting lymphatic filariasis morbidity cases by Community Health Workers was perceived by study participants to be a relevant tool and feasible due to the ease of use of the technology. The tool was reported by end-users to significantly increase their performance and efficiency was gained in terms of reduced paper work, increased the number of patients accessing health care services and the ability to report in real-time. All respondents were confident that Community Health Workers were the right persons to interact with communities in tracking and reporting morbidity cases using mobile technology.

conclusionMobile phone-based text messages have proven to be effective in routine workflows such as, data collection and reporting on Lymphatic Filariasis morbidity cases, patient to provider communication, decision making and supportive supervision. Mobile phones have also improved efficiency and general performance of end users in terms of increased number of cases identified and efficiency gained in terms of reduced paper work and the ability to collect and report in real-time.

Indexed as

Cell PhoneElephantiasis, FilarialText MessagingCommunity Health WorkersCross-Sectional StudiesHumansMorbidityNeglected DiseasesTanzaniaCommunity health workersLymphatic FilariasisMobile phone-based text messagesMobile technologyMorbidity

Identifiers

PMID35854308
PMCPMC9295502

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.