Evidence map›Paper›PMID 37307522›Full record

ArticlePLOS digital health2023

Improving outcomes for children with malaria, diarrhoea and pneumonia in Mozambique: A cluster randomised controlled trial of the inSCALE technology innovation.

Seyi Soremekun, Karin Källander, Raghu Lingam, Ana-Cristina Castel Branco, Neha Batura, Daniel Ll Strachan, Abel Muiambo, Nelson Salomao, Juliao Condoane, Fenias Benhane and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLOS digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

17 authors at 10 institutions in 6 countries.

Seyi SoremekunDepartment of Infection Biology, London School of Hygiene & Tropical Medicine, Keppel Street, London, United Kingdom.ORCID https://orcid.org/0000-0002-5531-0220
Karin KällanderMalaria Consortium, The Green House, 244-254 Cambridge Heath Road, London, United Kingdom.
Raghu LingamPopulation Child Health Research Group, School of Women's and Children's Health, University of New South Wales, Australia.
Ana-Cristina Castel BrancoMalaria Consortium, Rua Joseph Ki-Zerbo 191, PO Box 3655, Coop, Maputo, Mozambique.
Neha BaturaInstitute for Global Health, University College London, 30 Guilford Street, London, United Kingdom.ORCID https://orcid.org/0000-0002-8175-8125
Daniel Ll StrachanThe Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne Victoria, Australia.
Abel MuiamboMalaria Consortium, Rua Joseph Ki-Zerbo 191, PO Box 3655, Coop, Maputo, Mozambique.
Nelson SalomaoMalaria Consortium, Rua Joseph Ki-Zerbo 191, PO Box 3655, Coop, Maputo, Mozambique.
Juliao CondoaneMalaria Consortium, Rua Joseph Ki-Zerbo 191, PO Box 3655, Coop, Maputo, Mozambique.
Fenias BenhaneMalaria Consortium, Rua Joseph Ki-Zerbo 191, PO Box 3655, Coop, Maputo, Mozambique.
Frida KastengDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Anna VassallDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine, Keppel Street, London, United Kingdom.
Zelee HillInstitute for Global Health, University College London, 30 Guilford Street, London, United Kingdom.
Guus Ten AsbroekDepartment of Global Health, Amsterdam University Medical Centres, Meibergdreef 9 1105 AZ Amsterdam, The Netherlands and Amsterdam Institute for Global Health and Development, Paasheuvelweg 25, 1105 BP Amsterdam, The Netherlands.
Sylvia MeekMalaria Consortium, The Green House, 244-254 Cambridge Heath Road, London, United Kingdom.
James TibenderanaMalaria Consortium, The Green House, 244-254 Cambridge Heath Road, London, United Kingdom.
Betty KirkwoodDepartment of Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, United Kingdom.
National Directorate of Geology · MZLondon School of Hygiene & Tropical Medicine · GBMalaria Consortium · GBUniversity College London · GBAmsterdam Institute for Global Health and Development · NLKarolinska Institutet · SEThe University of Melbourne · AUUnited Nations Children's Fund · USUniversity of London · GBUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe majority of post-neonatal deaths in children under 5 are due to malaria, diarrhoea and pneumonia (MDP). The WHO recommends integrated community case management (iCCM) of these conditions using community-based health workers (CHW). However iCCM programmes have suffered from poor implementation and mixed outcomes. We designed and evaluated a technology-based (mHealth) intervention package 'inSCALE' (Innovations At Scale For Community Access and Lasting Effects) to support iCCM programmes and increase appropriate treatment coverage for children with MDP.

methodsThis superiority cluster randomised controlled trial allocated all 12 districts in Inhambane Province in Mozambique to receive iCCM only (control) or iCCM plus the inSCALE technology intervention. Population cross-sectional surveys were conducted at baseline and after 18 months of intervention implementation in approximately 500 eligible households in randomly selected communities in all districts including at least one child less than 60 months of age where the main caregiver was available to assess the impact of the intervention on the primary outcome, the coverage of appropriate treatment for malaria, diarrhoea and pneumonia in children 2-59months of age. Secondary outcomes included the proportion of sick children who were taken to the CHW for treatment, validated tool-based CHW motivation and performance scores, prevalence of cases of illness, and a range of secondary household and health worker level outcomes. All statistical models accounted for the clustered study design and variables used to constrain the randomisation. A meta-analysis of the estimated pooled impact of the technology intervention was conducted including results from a sister trial (inSCALE-Uganda).

findingsThe study included 2740 eligible children in control arm districts and 2863 children in intervention districts. After 18 months of intervention implementation 68% (69/101) CHWs still had a working inSCALE smartphone and app and 45% (44/101) had uploaded at least one report to their supervising health facility in the last 4 weeks. Coverage of the appropriate treatment of cases of MDP increased by 26% in the intervention arm (adjusted RR 1.26 95% CI 1.12-1.42, p<0.001). The rate of care seeking to the iCCM-trained community health worker increased in the intervention arm (14.4% vs 15.9% in control and intervention arms respectively) but fell short of the significance threshold (adjusted RR 1.63, 95% CI 0.93-2.85, p = 0.085). The prevalence of cases of MDP was 53.5% (1467) and 43.7% (1251) in the control and intervention arms respectively (risk ratio 0.82, 95% CI 0.78-0.87, p<0.001). CHW motivation and knowledge scores did not differ between intervention arms. Across two country trials, the estimated pooled effect of the inSCALE intervention on coverage of appropriate treatment for MDP was RR 1.15 (95% CI 1.08-1.24, p <0.001).

interpretationThe inSCALE intervention led to an improvement in appropriate treatment of common childhood illnesses when delivered at scale in Mozambique. The programme will be rolled out by the ministry of health to the entire national CHW and primary care network in 2022-2023. This study highlights the potential value of a technology intervention aimed at strengthening iCCM systems to address the largest causes of childhood morbidity and mortality in sub-Saharan Africa.

Identifiers

PMID37307522
PMCPMC10260254
OpenAlexW4380354571

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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.