Evidence map›Paper›PMID 30505847›Full record

ArticlemHealth2018

A comparison between paper-based and m-Health tools for collating and reporting clinical cases of lymphatic filariasis and podoconiosis in Ethiopia.

Sarah Martindale, Hayley E Mableson, Biruk Kebede, Fikre H Kiros, Abraham Tamiru, Belete Mengistu, Anna Krueger, Charles D Mackenzie, Louise A Kelly-Hope

Abstract read
In one paragraph

Article in mHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Scoping review of health information technology usability methods leveraged in Africa.Journal of the American Medical Informatics Association : JAMIA · 2023
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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

9 authors.

Sarah MartindaleCentre for Neglected Tropical Diseases, Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool, UK.
Hayley E MablesonCentre for Neglected Tropical Diseases, Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool, UK.
Biruk KebedeNational Podoconiosis Action Network, Addis Ababa, Ethiopia.
Fikre H KirosNational Podoconiosis Action Network, Addis Ababa, Ethiopia.
Abraham TamiruNational Podoconiosis Action Network, Addis Ababa, Ethiopia.
Belete MengistuFederal Ministry of Health, Addis Ababa, Ethiopia.
Anna KruegerGeorge Washington University, Washington DC, USA.
Charles D MackenzieCentre for Neglected Tropical Diseases, Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool, UK.
Louise A Kelly-HopeCentre for Neglected Tropical Diseases, Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLymphatic filariasis (LF) and podoconiosis are disabling diseases, endemic in Ethiopia. The main clinical manifestations include lymphoedema from LF and podoconiosis, and hydrocoele from LF. To ensure access to morbidity management and disability prevention (MMDP) services, data on patient numbers in each implementation unit (IU) is required. House-to-house census is considered the gold standard for determining patient numbers, and data are usually collated and reported using paper-based methods. However, often there are delays in data reaching the regional and central level, which leads to subsequent delays in rolling out and prioritising MMDP services. The increase in mobile phone mHealth tools offers an alternative, potentially more rapid and cost-effective approach.

methodsAs part of an LF and podoconiosis burden assessment conducted in Hawella Tula and Bensa districts in Ethiopia, this study compared the standard paper-based methods with the new MeasureSMS-Morbidity tool for clinical cases data collation and reporting. Health extension workers (HEWs) were trained on both methods. Comparisons were made on patient information; age, gender, location (i.e., kebele), condition, severity of condition and acute attacks. Data were analysed for trends, including the differences in ranking the villages in each district based on the highest to lowest number of cases. In addition, financial and human resource requirements were compared.

resultsIn total, 59 HEWs (19 from Hawella Tula; 40 from Bensa) collated and reported a similar number of cases by paper-based (n=2,377) and SMS (n=2,372) methods. Significant correlations were found between the two methods for all cases and lymphoedema cases in both districts, and for hydrocoele cases in Bensa district only. The total cost of paper-based reporting was 13.7% more expensive than SMS reporting due to costs associated with data collection and entry.

conclusionsThe rank correlation showed the same villages would be prioritised for delivery of MMDP services, with time and cost-savings observed using SMS reporting, suggesting it is an effective and efficient alternative tool to help facilitate care to those who need it most.

Indexed as

EthiopiahydrocoeleLymphatic filariasis (LF)lymphoedemamhealthneglected tropical diseases (NTDs)patient searchingpodoconiosis

Identifiers

PMID30505847
PMCPMC6232075

What OpenQuestion holds

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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.