Safety and upscaling of remote consulting for long-term conditions in primary health care in Nigeria and Tanzania (REaCH trials): stepped-wedge trials of training, mobile data allowance, and implementation
Open accessAbstract
BACKGROUND: In-person health care poses risks to health workers and patients during pandemics. Remote consultations can mitigate these risks. The REaCH intervention comprised training and mobile data allowance provision for mobile phones to support remotely delivered primary care in Africa compared with no training and mobile data allowance. The aim of this study was to estimate the effects of REaCH among adults with non-communicable diseases on remote and face-to-face consultation rates, patient safety, and trustworthiness of consultations. METHODS: In these two independent stepped-wedge cluster randomised controlled trials, we enrolled 20 primary care clusters in each of two settings (Oyo State, Nigeria, and Morogoro Region, Tanzania). Eligible clusters had 100 or more patients with diabetes, hypertension, and cardiovascular or pulmonary disease employing five health workers. Clusters were computer-randomised to one of ten (Nigeria) or one of seven (Tanzania) sequences to receive the REaCH intervention. Only outcome assessors were masked. Primary outcomes were consultation, prescription, and investigation rates, and trustworthiness collected monthly for 12 months (Nigeria) and 9 months (Tanzania) from open cohorts. Ten randomly sampled consulting patients per cluster-month completed patient reported outcome measures. This trial was registered with ISRCTN, ISRCTN17941313. FINDINGS: Overall, 40 clusters comprising 8776 (Nigeria) and 3246 (Tanzania) patients' open cohort data were analysed (6377 [72·7%] of 8776 females in Nigeria, and 2235 [68·9%] of 3246 females in Tanzania). The mean age of the participants was 55·3 years (SD 13·9) in Nigeria and 59·2 years (14·2) in Tanzania. In Nigeria, no evidence of change in face-to-face consulting rate was observed (rate ratio [RR] 1·06, 95% CI 0·98 to 1·09; p=0·16); however, remote consultations increased four-fold (4·44, 1·34 to >10; p=0·01). In Tanzania, face-to-face (0·94, 0·61 to 1·67; p=0·99) and remote consulting rates (1·17, 0·56 to 5·57; p=0·39) were unchanged. There was no evidence of difference in prescribing rates (Nigeria: 1·05, 0·60 to 1·14; p=0·23; Tanzania: 0·92, 0·60 to 1·67; p=0·97), investigation rates (Nigeria: 1·06, 0·23 to 2·12; p=0·49; Tanzania: 1·15, 0·35 to 1·64; 0·58) or trustworthiness scores (Nigeria: mean difference 0·05, 95% CI -0·45 to 0·42; p=0·89; Tanzania: 0·07, -0·15 to 0·76; p=0·70). INTERPRETATION: REaCH can be implemented and could improve intervention versus control health-care access. Remote consultations appear safe and trustworthy, supporting universal health coverage. FUNDING: The UK Research and Innovation Collective Fund. TRANSLATIONS: For the Swahili and Yoruba translations of the abstract see Supplementary Materials section.
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Sturt et al. (2023) included 20 clusters in Nigeria.
“20—Nigeria”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [62]
Sturt et al. (2023) chose the stepped-wedge design due to capacity constraints and the need for phased implementation, allowing all clusters to receive the intervention while accounting for logistical and practical constraints during the COVID-19 pandemic.
“The stepped-wedge design was chosen due to capacity constraints and the need for phased implementation. The design allowed all clusters to receive the intervention while accounting for logistical and practical constraints during the COVID-19 pandemic.”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [62]
Sturt et al. (2023) used ten steps in Nigeria.
“10—Nigeria”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [62]
Sturt et al. (2023) randomly assigned health facilities to sequences for intervention rollout, with ten sequences in Nigeria and seven in Tanzania, using computer randomization.
“Health facilities were randomly assigned to sequences for intervention rollout. In Nigeria, there were ten sequences, while in Tanzania, there were seven sequences. Clusters were computer-randomized to receive the intervention at different time points.”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [62]
Sturt et al. (2023) had a duration of 3 months between steps.
“3 months”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [62]
Sturt et al. (2023) used seven steps in Tanzania.
“7—Tanzania”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [62]
Sturt et al. (2023) included 20 clusters in Tanzania.
“20—Tanzania”
From Applications and implementation considerations for stepped-wedge designs in sub-Saharan Africa: a systematic review (2026) · cites this paper as [62]
Cites
Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing
Romano, J. P., & Wolf, M. (2005) · Journal of the American Statistical Association · doi:10.1198/016214504000000539 · Cited by 609 · see citing works
A systematic review on trends in using Moodle for teaching and learning
Gamage, S. H. P. W., Ayres, J. R., & Behrend, M. B. (2022) · International Journal of STEM Education · doi:10.1186/s40594-021-00323-x · Cited by 360 · see citing works
Cook, J. A., Julious, S. A., Sones, W., Hampson, L. V., Hewitt, C., Berlin, J. A., Ashby, D., Emsley, R., Fergusson, D. A., Walters, S. J., et al. (2018) · Trials · doi:10.1186/s13063-018-2884-0 · Cited by 197 · see citing works
Analysis of cluster randomised stepped wedge trials with repeated cross-sectional samples
Hemming, K., Taljaard, M., & Forbes, A. (2017) · Trials · doi:10.1186/s13063-017-1833-7 · Cited by 166 · cited 1× · see citing works
“19 The primary outcomes are of two types: count data (the number of consultations by mode of delivery and the number of prescriptions), and a continuous score (the Physician Humanistic Behaviour Questionnaire score).”
Chitungo, I., Mhango, M., Mbunge, E., Dzobo, M., Musuka, G., & Dzinamarira, T. (2021) · Human Behavior and Emerging Technologies · doi:10.1002/hbe2.297 · Cited by 98 · see citing works
An overview of the effect of telehealth on mortality: A systematic review of meta-analyses
Snoswell, C. L., Stringer, H., Taylor, M. L., Caffery, L. J., & Smith, A. C. (2023) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x211023700 · Cited by 80 · see citing works
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Musa, Z. A., Akinsolu, F. T., Salako, A. O., Abodunrin, O. R., Ola, O. M., & Ezechi, O. C. (2026) · Frontiers in Epidemiology · doi:10.3389/fepid.2026.1529289
- Authors
- Sturt, J., Griffiths, F., Ajisola, M., Akinyemi, J. O., Chipwaza, B., Fayehun, O., Harris, B., Owoaje, E., Rogers, R., Pemba, S., Watson, S. I., Omigbodun, A., Sturt, J., Omigbodun, A., Downie, A., Chipwaza, B., Cave, J., Owoaje, E., Cadmus, E. O., Adebayo, E., Rogers, R., Griffiths, F., Harding, R., Harris, B., Kalolo, A., Ajisola, M., Muir, H., Nkhoma, K., Akinyemi, J. O., Fayehun, O., Lilford, R., Watson, S. I., Pemba, S., Ndegese, S., Kiberu, V., Mashanya, T., Adewole, D. A., & Losyeku, M.
- Affiliations
- King's College London (GB)
- Monash University (AU)
- University of Warwick (GB)
- University of Ibadan (NG)
- University of the Witwatersrand (ZA)
- ORCID
- Venue
- The Lancet Global Health
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 11
- Issue
- 11
- Pages
- e1753-e1764
- ISSN
- 2214-109X (ISSN-L)
- OpenAlex
- W4387693437
- Cited by
- 13
- References
- 6
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 2 · 2023: 1
- FWCI
- 3.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Lancet Global Health (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (publishedVersion, cc-by)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by)
- Greater South Information System
- Funders
- UKRI Medical Research Council
- University of Warwick
- University of Birmingham
- University of Ibadan
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Healthcare Systems and Technology
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- teleconsultation, telemedicine, primary care, non-communicable diseases, diabetes mellitus, hypertension, health professions education, patient safety, patient trust, face-to-face consultation, COVID-19 pandemic, chronic disease, Nigeria, Tanzania, Africa, upscaling, patient-reported outcomes
- MeSH terms
- Adult, Delivery of Health Care, Female, Humans, Middle Aged, Nigeria, Primary Health Care, Referral and Consultation, Tanzania, Randomized Controlled Trials as Topic
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