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Effectiveness of Smartphone-Based Community Case Management on the Urgent Referral, Reconsultation, and Hospitalization of Children Aged Under 5 Years in Malawi: Cluster-Randomized, Stepped-Wedge Trial
Open accessPublished version of a preprint
Abstract
Background: Integrated community case management (CCM) has led to reductions in child mortality in Malawi resulting from illnesses such as malaria, pneumonia, and diarrhea. However, adherence to CCM guidelines is often poor, potentially leading to inappropriate clinical decisions and poor outcomes. We determined the impact of an e-CCM app on the referral, reconsultation, and hospitalization rates of children presenting to village clinics in Malawi. Objective: We determined the impact of an electronic version of a smartphone-based CCM (e-CCM) app on the referral, reconsultation, and hospitalization rates of children presenting to village clinics in Malawi. Methods: We used a stepped-wedge, cluster-randomized trial to compare paper-based CCM (control) with and without the use of an e-CCM app on smartphones from November 2016 to February 2017. A total of 102 village clinics from 2 districts in northern Malawi were assigned to 1 of 6 clusters, which were randomized on the sequencing of the crossover from the control phase to the intervention phase as well as the duration of exposure in each phase. Children aged ≥2 months to <5 years who presented with acute illness were enrolled consecutively by health surveillance assistants. The primary outcome of urgent referrals to higher-level facilities was evaluated by using multilevel mixed effects models. A logistic regression model with the random effects of the cluster and the fixed effects for each step was fitted. The adjustment for potential confounders included baseline factors, such as patient age, sex, and the geographical location of the village clinics. Calendar time was adjusted for in the analysis. Results: A total of 6965 children were recruited—49.11% (3421/6965) in the control phase and 50.88% (3544/6965) in the intervention phase. After adjusting for calendar time, children in the intervention phase were more likely to be urgently referred to a higher-level health facility than children in the control phase (odds ratio [OR] 2.02, 95% CI 1.27-3.23; P=.003). Overall, children in the intervention arm had lower odds of attending a repeat health surveillance assistant consultation (OR 0.45, 95% CI 0.34-0.59; P<.001) or being admitted to a hospital (OR 0.75, 95% CI 0.62-0.90; P=.002), but after adjusting for time, these differences were not significant (P=.07 for consultation; P=.30 for hospital admission). Conclusions: The addition of e-CCM decision support by using smartphones led to a greater proportion of children being referred to higher-level facilities, with no apparent increase in hospital admissions or repeat consultations in village clinics. Our findings provide support for the implementation of e-CCM tools in Malawi and other low- and middle-income countries with a need for ongoing assessments of effectiveness and integration with national digital health strategies. Trial Registration: ClinicalTrials.gov NCT02763345; https://clinicaltrials.gov/ct2/show/NCT02763345
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Chirambo et al. (2021) used six steps in the stepped wedge design.
“6”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [54]
The Methods > Study Design and Randomization and Blinding sections describe a stepped-wedge trial with six clusters whose crossover sequence was randomized (page not provided). They do not state that the design had six steps; the reported number refers to clusters, not explicitly to steps. (LLM, conf=0.82)
Experimental — accuracy not yet measuredChirambo et al. (2021) selected the stepped-wedge design to ensure all clinics eventually received the intervention, to control for time effects, and to facilitate logistical implementation by a single study team.
“The stepped-wedge design was selected to ensure all clinics eventually received the intervention, to control for time effects due to evolving conditions, and to facilitate logistical implementation by a single study team.”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [54]
Methods > Study Design (page unavailable) describes clusters crossing from control to intervention, and Discussion > Principal Findings (page unavailable) says the stepped-wedge design helps minimize temporal bias. The paper does not say the design was selected to ease implementation by a single study team. (LLM, conf=0.87)
Experimental — accuracy not yet measuredChirambo et al. (2021) included 102 clusters (village clinics).
“102 village clinics”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [54]
The Study Design section states that the study was conducted in 102 village clinics, supporting the citing sentence as printed. But the Randomization and Blinding section says those clinics were grouped into 6 clusters, not 102 clusters; the claim’s parenthetical description conflates clinics with clusters. (LLM, conf=0.94)
Experimental — accuracy not yet measuredChirambo et al. (2021) used a stepped-wedge, cluster-randomized design where clusters of village clinics were randomized to determine the sequence of crossover from control to intervention.
“The study used a stepped-wedge, cluster-randomized design. Clusters of village clinics were randomized to determine the sequence of crossover from the control phase (using paper CCM alone) to the intervention phase (using paper CCM and the e-CCM app).”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [54]
Chirambo et al. (2021) had a duration of exposure in each phase varying between 2 and 7 weeks.
“The duration of exposure in each phase varied between 2 and 7 weeks.”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [54]
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Metadata
- Authors
- Chirambo, G. B., Thompson, M., Hardy, V., Ide, N., Hwang, P. H., Dharmayat, K., Mastellos, N., Heavin, C., O'Connor, Y., Muula, A. S., Andersson, B., Carlsson, S., Tran, T., Hsieh, J. C.-L., Lee, H.-Y., Fitzpatrick, A., Joseph Wu, T.-S., & O'Donoghue, J.
- Affiliations
- University of Malawi (MW)
- University of Washington (US)
- Imperial College London (GB)
- University College Cork (IE)
- Lund University (SE)
- World Health Organization Regional Office for the Americas (US)
- Corresponding author
- Chirambo, Griphin Baxter
- ORCID
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2021-10-20
- Volume
- 23
- Issue
- 10
- Pages
- e25777
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC8567152
- OpenAlex
- W3192153697
- Cited by
- 7
- References
- 39
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 3
- FWCI
- 1.12
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DiVA (Linnaeus University) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Spiral (Imperial College London) (submittedVersion, other-oa)
- Funders
- University of Washington
- Imperial College London
- European Commission (305292)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Keywords
- integrated community case management, urgent referral, reconsultation, hospitalization, children under five, village clinics, health surveillance assistants, guideline adherence, acute childhood illness, Malawi, health information technology, child mortality reduction, malaria, pneumonia, diarrhea
- MeSH terms
- Smartphone, Child, Hospitalization, Humans, Malawi, Referral and Consultation, Case Management
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