The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
The effect of mobile phone text-message reminders on Kenyan health workers' adherence to malaria treatment guidelines: a cluster randomised trial
Open accessAbstract
Background Health workers' malaria case-management practices often differ from national guidelines. We assessed whether text-message reminders sent to health workers' mobile phones could improve and maintain their adherence to treatment guidelines for outpatient paediatric malaria in Kenya.Methods From March 6, 2009, to May 31, 2010, we did a cluster-randomised controlled trial at 107 rural health facilities in 11 districts in coastal and western Kenya. With a computer-generated sequence, health facilities were randomly allocated to either the intervention group, in which all health workers received text messages on their personal mobile phones on malaria case-management for 6 months, or the control group, in which health workers did not receive any text messages. Health workers were not masked to the intervention, although patients were unaware of whether they were in an intervention or control facility. The primary outcome was correct management with artemether-lumefantrine, defined as a dichotomous composite indicator of treatment, dispensing, and counselling tasks concordant with Kenyan national guidelines. The primary analysis was by intention to treat. The trial is registered with Current Controlled Trials, ISRCTN72328636.Findings 119 health workers received the intervention. Case-management practices were assessed for 2269 children who needed treatment (1157 in the intervention group and 1112 in the control group). Intention-to-treat analysis showed that correct artemether-lumefantrine management improved by 23·7 percentage-points (95% CI 7·6-40·0; p=0·004) immediately after intervention and by 24·5 percentage-points (8·1-41·0; p=0·003) 6 months later.Interpretation In resource-limited settings, malaria control programmes should consider use of text messaging to improve health workers' case-management practices.Funding The Wellcome Trust.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“A proof-of-concept randomized controlled Kenyan trial on adherence to malaria treatment guidelines used 10 carefully designed SMSs with drug delivery instructions and an unrelated motivational message to aid rural health facility workers [33]. Both immediate and 6-month analyses showed improved malaria case management.”
In the citing paper
“Results suggested that, in the short term, treatment adherence improved by 31.7% (95% CI 15.6–47.8) and, in the long term, treatment adherence improved by 28.6% (95% CI 12.7–44.6).”
From Assessing the impact of mHealth interventions in low- and middle-income countries – what has been shown to work? (2014) · cites this paper as [24]
In the citing paper
“For the seven randomised controlled trials testing effects of SMS communication on various health outcomes had reported positive effects [16, 20, 32, 33, 44–49], while the remaining trial showed no effect of mobile alarm devices on treatment adherence for HIV patients [15].”
From Assessing the feasibility of eHealth and mHealth: a systematic review and analysis of initiatives implemented in Kenya (2017) · cites this paper as [48]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Easy SAS Calculations for Risk or Prevalence Ratios and Differences
Spiegelman, D. L. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi188 · Cited by 1,743
Lester, R. T., Ritvo, P., Mills, E. J., Kariri, A., Karanja, S., Chung, M. H., Jack, W., Habyarimana, J., Sadatsafavi, M., Najafzadeh, M., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)61997-6 · Cited by 1,278
Behavior change interventions delivered by mobile telephone short message service
Fjeldsoe, B. S., Marshall, A. L., & Miller, Y. D. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.09.040 · Cited by 1,213
Text messaging as a tool for behavior change in disease prevention and management
Cole-Lewis, H., & Kershaw, T. (2010) · Epidemiologic Reviews · doi:10.1093/epirev/mxq004 · Cited by 1,190
How can we achieve and maintain high-quality performance of health workers in low-resource settings?
Rowe, A. K., de Savigny, D., Lanata, C. F., & Victora, C. G. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67028-6 · Cited by 1,048
Self-citationPop-Eleches, C., Thirumurthy, H., Habyarimana, J. P., Zivin, J. G., Goldstein, M. P., de Walque, D., MacKeen, L., Haberer, J., Kimaiyo, S., Sidle, J., et al. (2011) · AIDS · doi:10.1097/qad.0b013e32834380c1 · Cited by 982
Healthcare via Cell Phones: A Systematic Review
Krishna, S., Boren, S. A., & Balas, E. A. (2009) · Telemedicine and e-Health · doi:10.1089/tmj.2008.0099 · Cited by 882
Roethlisberger, F. J. (1939) · Medical Entomology and Zoology · Cited by 622
Pharmacokinetics and Pharmacodynamics of Lumefantrine (Benflumetol) in Acute Falciparum Malaria
Ezzet, F., van Vugt, M., Nosten, F. H., Looareesuwan, S., & White, N. J. (2000) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.44.3.697-704.2000 · Cited by 356
Clinical Pharmacokinetics and Pharmacodynamics of Artemether-Lumefantrine
White, N. J., van Vugt, M., & Ezzet, F. (1999) · Clinical Pharmacokinetics · doi:10.2165/00003088-199937020-00002 · Cited by 352
Research works printed but not linked: 2
- 2003, South Africa: a novel approach to improving adherence to TB treatment, Essential Drugs Monitor, 33, 8
- Rowe AK, Rowe SY, Peters DH, Holloway KA, Chalker J, Ross-Degnan D. Early results of a systematic review of the effectiveness and costs of strategies to improve health worker performance in low- and middle-income countries (LMICs). First Global Symposium on Health Systems Research; Nov 18, 2010. Abstract 92270.
Cited by
Sorted by citations
Hoffmann, T. C., Glasziou, P. P., Boutron, I., Milne, R., Perera, R., Moher, D., Altman, D. G., Barbour, V., Macdonald, H., Johnston, M., et al. (2014) · BMJ · doi:10.1136/bmj.g1687 · Cited by 10,548
Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development
Meara, J. G., Leather, A. J. M., Hagander, L., Alkire, B. C., Alonso, N., Ameh, E. A., Bickler, S. W., Conteh, L., Dare, A. J., Davies, J., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60160-x · Cited by 3,851
Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001363 · Cited by 1,187
Källander, K., Tibenderana, J. K., Akpogheneta, O. J., Strachan, D. L., Hill, Z., ten Asbroek, A. H. A., Conteh, L., Kirkwood, B. R., & Meek, S. R. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2130 · Cited by 653
Scaling Up mHealth: Where Is the Evidence?
Tomlinson, M., Rotheram-Borus, M. J., Swartz, L., & Tsai, A. C. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001382 · Cited by 673
Aranda-Jan, C. B., Mohutsiwa-Dibe, N., & Loukanova, S. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-188 · Cited by 644
Agarwal, S., Perry, H. B., Long, L., & Labrique, A. B. (2015) · Tropical Medicine & International Health · doi:10.1111/tmi.12525 · Cited by 498
Community Health Workers and Mobile Technology: A Systematic Review of the Literature
Braun, R., Catalani, C., Wimbush, J., & Israelski, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065772 · Cited by 493
A smartphone dongle for diagnosis of infectious diseases at the point of care
Laksanasopin, T., Guo, T. W., Nayak, S., Sridhara, A. A., Shi, X., Olowookere, O. O., Cadinu, P., Meng, F., Chee, N. H., Kim, J., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa0056 · Cited by 428
Hall, C. S., Fottrell, E., Wilkinson, S., & Byass, P. (2014) · Global Health Action · doi:10.3402/gha.v7.25606 · Cited by 384
Chib, A., van Velthoven, M. H., & Car, J. (2015) · Journal of Health Communication · doi:10.1080/10810730.2013.864735 · Cited by 384
Berrouiguet, S., Baca-García, E., Brandt, S., Walter, M., & Courtet, P. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5066 · Cited by 332
Use of Mobile Phone Text Message Reminders in Health Care Services: A Narrative Literature Review
Kannisto, K. A., Koivunen, M. H., & Välimäki, M. A. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3442 · Cited by 302
Effective in-service training design and delivery: evidence from an integrative literature review
Bluestone, J., Johnson, P., Fullerton, J. T., Carr, C., Alderman, J., & BonTempo, J. (2013) · Human Resources for Health · doi:10.1186/1478-4491-11-51 · Cited by 330
Human-centered design for global health equity
Holeman, I., & Kane, D. (2020) · Information Technology for Development · doi:10.1080/02681102.2019.1667289 · Cited by 285
Muessig, K., Pike, E. C., Legrand, S., & Hightow-Weidman, L. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2301 · Cited by 300
Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature
Bastawrous, A., & Armstrong, M. J. (2013) · Journal of the Royal Society of Medicine · doi:10.1177/0141076812472620 · Cited by 236
Zhai, Y.-K., Zhu, W.-J., Cai, Y.-L., Sun, D.-X., & Zhao, J. (2014) · Medicine · doi:10.1097/md.0000000000000312 · Cited by 221
Heterogeneous Mobile Phone Ownership and Usage Patterns in Kenya
Wesolowski, A., Eagle, N., Noor, A. M., Snow, R. W., & Buckee, C. O. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035319 · Cited by 216
Self-citationGibson, D. G., Ochieng, B. O., Kagucia, E. W., Were, J. A., Hayford, K. T., Moulton, L. H., Levine, O. S., Odhiambo, F., O’Brien, K. L., & Feikin, D. R. (2017) · The Lancet Global Health · doi:10.1016/s2214-109x(17)30072-4 · Cited by 201
How Point-of-Care Testing Could Drive Innovation in Global Health
Jani, I. V., & PETER, T. F. (2013) · New England Journal of Medicine · doi:10.1056/nejmsb1214197 · Cited by 194
Piette, J., Lun, K., Moura, L., Fraser, H., Mechael, P., Powell, J., & Khoja, S. (2012) · Bulletin of the World Health Organization · doi:10.2471/blt.11.099069 · Cited by 188
Ippoliti, N. B., & L’Engle, K. (2017) · Reproductive Health · doi:10.1186/s12978-016-0276-z · Cited by 163
Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study
Latif, S., Rana, R. K., Qadir, J., Ali, A., Imran, M. A., & Younis, M. S. (2017) · IEEE Access · doi:10.1109/access.2017.2710800 · Cited by 186
Recommendations for sepsis management in resource-limited settings
Dünser, M. W., Festic, E., Dondorp, A., Kissoon, N., Ganbat, T., Kwizera, A., Haniffa, R., Baker, T., Schultz, M. J., & Global Intensive Care Working Group of the European Society of Intensive Care Medicine (2012) · Intensive Care Medicine · doi:10.1007/s00134-012-2468-5 · Cited by 176
Galactionova, K., Tediosi, F., de Savigny, D., Smith, T. A., & Tanner, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0127818 · Cited by 171
Redfern, J., Thiagalingam, A., Jan, S., Whittaker, R., Hackett, M. L., Mooney, J., de Keizer, L., Hillis, G. S., & Chow, C. K. (2012) · European Journal of Preventive Cardiology · doi:10.1177/2047487312449416 · Cited by 157
Pierce, J., Apisarnthanarak, A., Schellack, N., Cornistein, W., Maani, A. A., Adnan, S., & Stevens, M. P. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.05.126 · Cited by 154
mHealth for Clinical Decision-Making in Sub-Saharan Africa: A Scoping Review
Adepoju, I.-O. O., Albersen, B. J. A., Brouwere, V. D., van Roosmalen, J., & Zweekhorst, M. B. M. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7185 · Cited by 156
Wakadha, H., Chandir, S., Were, E. V., Rubin, A., Obor, D., Levine, O. S., Gibson, D. G., Odhiambo, F., Laserson, K. F., & Feikin, D. R. (2013) · Vaccine · doi:10.1016/j.vaccine.2012.11.093 · Cited by 149
Physical Activity Text Messaging Interventions in Adults: A Systematic Review
Buchholz, S. W., Wilbur, J., Ingram, D., & Fogg, L. (2013) · Worldviews on Evidence-Based Nursing · doi:10.1111/wvn.12002 · Cited by 140
Abaza, H., & Marschollek, M. (2017) · Methods of Information in Medicine · doi:10.3414/me17-05-0003 · Cited by 138
Mobile Phone Text Messaging: Tool for Malaria Control in Africa
Zurovac, D., Talisuna, A. O., & Snow, R. W. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001176 · Cited by 135
Self-citationHiggs, E. S., Goldberg, A. B., Labrique, A. B., Cook, S. H., Schmid, C., Cole, C. F., & Obregón, R. A. (2014) · Journal of Health Communication · doi:10.1080/10810730.2014.929763 · Cited by 124
Application of nanodiagnostics in point-of-care tests for infectious diseases
Wang, Y., Yu, L., Kong, X., & Sun, L. (2017) · International Journal of Nanomedicine · doi:10.2147/ijn.s137338 · Cited by 133
Brown, O. N., O’Connor, L. E., & Savaiano, D. A. (2014) · Journal of American College Health · doi:10.1080/07448481.2014.899233 · Cited by 132
Domek, G., Contreras-Roldan, I. L., O'Leary, S., Bull, S., Furniss, A., Kempe, A., & Asturias, E. (2016) · Vaccine · doi:10.1016/j.vaccine.2016.03.065 · Cited by 120
Determinants of readiness to adopt mHealth in a rural community of Bangladesh
Khatun, F., Heywood, A. E., RAY, P. K., Hanifi, S., Bhuiya, A., & Liaw, S. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.06.008 · Cited by 130
Haji, A., Lowther, S. A., Ng’ang’a, Z., Gura, Z., Tabu, C. W., Sandhu, H., & Arvelo, W. (2016) · BMC Public Health · doi:10.1186/s12889-016-2823-5 · Cited by 119
Thirumurthy, H., & Lester, R. (2012) · Bulletin of the World Health Organization · doi:10.2471/blt.11.099317 · Cited by 109
The future of routine immunization in the developing world: challenges and opportunities
Shen, A. K., Fields, R., & McQuestion, M. (2014) · Global Health: Science and Practice Journal · doi:10.9745/ghsp-d-14-00137 · Cited by 115
Vasan, A., Mabey, D. C. W., Chaudhri, S., Epstein, H.-A. B., & Lawn, S. D. (2016) · Health Policy and Planning · doi:10.1093/heapol/czw144 · Cited by 117
Balakrishnan, R., Gopichandran, V., Chaturvedi, S., Chatterjee, R., Mahapatra, T., & Chaudhuri, I. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0326-z · Cited by 116
Little, A., Medhanyie, A., Yebyo, H., Spigt, M., Dinant, G.-J., & Blanco, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077563 · Cited by 107
Health Worker mHealth Utilization
White, A. E., Thomas, D. S. K., Ezeanochie, N., & Bull, S. S. (2016) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000231 · Cited by 118
Improving community health worker performance through automated SMS
DeRenzi, B., Findlater, L., Payne, J., Birnbaum, B., Mangilima, J., Parikh, T., Borriello, G., & Lesh, N. (2012) · Proceedings of the Fifth International Conference on Information and Communication Technologies and Development · doi:10.1145/2160673.2160677 · Cited by 105
McNabb, M., Chukwu, E., Ojo, O., Shekhar, N., Gill, C. J., Salami, H., & Jega, F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0123940 · Cited by 107
Community-Based Care to Improve Maternal, Newborn, and Child Health
Lassi, Z. S., Kumar, R., & Bhutta, Z. A. (2016) · World Bank, Washington, DC eBooks · doi:10.1596/978-1-4648-0348-2_ch14 · Cited by 103
Njoroge, M., Zurovac, D., Ogara, E. A. A., Chuma, J., & Kirigia, D. (2017) · BMC Research Notes · doi:10.1186/s13104-017-2416-0 · Cited by 100
Self-citationAmankwaa, I., Boateng, D., Quansah, D. Y., Akuoko, C. P., & Evans, C. (2018) · PLOS ONE · doi:10.1371/journal.pone.0204091 · Cited by 98
Jones, C. O. H., Wasunna, B., Sudoi, R., Githinji, S., Snow, R. W., & Zurovac, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038636 · Cited by 92
“The results from the RCT demonstrated that SMS text messaging had a significant positive impact on health worker case management of malaria in febrile children [1] and this investigation of their perceptions of the intervention found that the SMS text messaging was enthusiastically received by the participants.”
Self-citationEnglish, M. (2013) · Implementation Science · doi:10.1186/1748-5908-8-39 · Cited by 97
Post-Discharge Mortality in Children with Severe Malnutrition and Pneumonia in Bangladesh
Chisti, M. J., Graham, S. M., Duke, T., Ahmed, T., Faruque, A. S. G., Ashraf, H., Bardhan, P. K., Shahid, A. S. M. S. B., Shahunja, K. M., & Salam, M. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0107663 · Cited by 94
Kumm, A. J., Viljoen, M., & de Vries, P. J. (2021) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-021-05084-8 · Cited by 102
Knop, M. R., Hayashi, M., Lin, R., Saing, C. H., Ung, M., Oy, S., Yam, E. L. Y., Zahari, M., & Yi, S. (2024) · BMC Medicine · doi:10.1186/s12916-024-03417-9 · Cited by 137
Chaiyachati, K. H., Loveday, M., Lorenz, S., Lesh, N., Larkan, L.-M., Cinti, S., Friedland, G. H., & Haberer, J. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064662 · Cited by 90
Association Between the Safe Delivery App and Quality of Care and Perinatal Survival in Ethiopia
Lund, S. B., Boas, I. M., Bedesa, T., Fekede, W., Nielsen, H. S., & Sørensen, B. L. (2016) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2016.0687 · Cited by 88
Use of handheld computers in clinical practice: a systematic review
Mickan, S. M., Atherton, H., Roberts, N. W., Heneghan, C., & Tilson, J. K. (2014) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-14-56 · Cited by 84
Kliner, M., Knight, A., Mamvura, C., Wright, J., & Walley, J. (2013) · Infectious Diseases of Poverty · doi:10.1186/2049-9957-2-12 · Cited by 82
Zurovac, D., Larson, B. A., Sudoi, R. K., & Snow, R. W. (2012) · PLoS ONE · doi:10.1371/journal.pone.0052045 · Cited by 76
Self-citationTalisuna, A. O., Karema, C., Ogutu, B. R., Juma, E. A., Logedi, J., Nyandigisi, A. J., Mulenga, M., Mbacham, W. F., Roper, C., Guerin, P. J., et al. (2012) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(12)70241-4 · Cited by 83
Self-citationTranslating Research into Practice in Nursing Homes: Can We Close the Gap?
Rahman, A. N., Applebaum, R., Schnelle, J. F., & Simmons, S. F. (2012) · The Gerontologist · doi:10.1093/geront/gnr157 · Cited by 82
Smith, C. P., & Whittaker, M. A. (2014) · Malaria Journal · doi:10.1186/1475-2875-13-307 · Cited by 81
Matheson, G. O., Klügl, M., Dvořák, J., Engebretsen, L., Meeuwisse, W. H., Schwellnus, M. P., Blair, S. N., van Mechelen, W., Derman, W. E., Börjesson, M., et al. (2011) · British Journal of Sports Medicine · doi:10.1136/bjsports-2011-090328 · Cited by 92
Rowe, A. K., Labadie, G., Jackson, D. J., Torrealba, C. V., & Simon, J. L. (2018) · BMJ · doi:10.1136/bmj.k2813 · Cited by 80
Self-citationMobile health to improve tuberculosis care and control: a call worth making [Review article]
Denkinger, C. M., Grenier, J.-Y., Stratis, A. K., Akkihal, A., Pant-Pai, N., & Pai, M. (2013) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.12.0638 · Cited by 80
Mobile Device for Disease Diagnosis and Data Tracking in Resource-Limited Settings
Chin, C. D., Cheung, Y. K., Laksanasopin, T., Modena, M. M., Chin, S. Y., Sridhara, A. A., Steinmiller, D., Linder, V., Mushingantahe, J., Umviligihozo, G., et al. (2013) · Clinical Chemistry · doi:10.1373/clinchem.2012.199596 · Cited by 75
Winters, N., Langer, L., & Geniets, A. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-019827 · Cited by 71
Community readiness for adopting mHealth in rural Bangladesh: A qualitative exploration
Khatun, F., Heywood, A. E., RAY, P. K., Bhuiya, A., & Liaw, S. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.05.010 · Cited by 77
Raifman, J. R. G., Lanthorn, H. E., Rokicki, S., & Fink, G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109032 · Cited by 75
Nhavoto, J. A., & Grönlund, Å. (2014) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3216 · Cited by 84
Rowe, S., Peters, D. H., Holloway, K., Chalker, J. C., Ross‐Degnan, D., & Rowe, A. K. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217617 · Cited by 82
Self-citationIf you text them, they will come
Finocchario‐Kessler, S., Gautney, B. J., Khamadi, S. A., Okoth, V., Goggin, K., Spinler, J. K., Mwangi, A., Kimanga, D. O., Clark, K. F., Olungae, H. D., et al. (2014) · AIDS · doi:10.1097/qad.0000000000000332 · Cited by 74
Bervell, B., & Al-Samarraie, H. (2019) · Social Science & Medicine · doi:10.1016/j.socscimed.2019.04.024 · Cited by 74
Zurovac, D., Okello, G. O., Kigen, S., Mbithi, A., Muturi, A., Snow, R. W., & Nyandigisi, A. J. (2013) · Globalization and Health · doi:10.1186/1744-8603-9-20 · Cited by 74
Self-citationImpact of Mobile Telephone on Maternal Health Service Care: A Case of Njoro Division
Fedha, T. (2014) · Open Journal of Preventive Medicine · doi:10.4236/ojpm.2014.45044 · Cited by 61
Carmichael, S. L., Mehta, K. M., Srikantiah, S., Mahapatra, T., Chaudhuri, I., Balakrishnan, R., Chaturvedi, S., Raheel, H., Borkum, E., Trehan, S., et al. (2019) · Journal of Global Health · doi:10.7189/jogh.09.020424 · Cited by 75
Strengthening Delivery of Health Services Using Digital Devices
Orton, M., Agarwal, S., Muhoza, P., Vasudevan, L., & Vu, A. (2018) · Global Health Science and Practice · doi:10.9745/ghsp-d-18-00229 · Cited by 82
Effect of Text Messaging on Risk Factor Management in Patients With Coronary Heart Disease
Zheng, X., Spatz, E. S., Bai, X., Huo, X., Ding, Q., Horak, P. W., Wu, X., Guan, W., Chow, C. K., Yan, X., et al. (2019) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.119.005616 · Cited by 64
Preventing dengue through mobile phones: Evidence from a field experiment in Peru
Dammert, A. C., Galdo, J. C., & Galdo, V. (2014) · Journal of Health Economics · doi:10.1016/j.jhealeco.2014.02.002 · Cited by 64
McLean, G., Murray, E., Band, R., Moffat, K. R., Hanlon, P., Bruton, A., Thomas, M., Yardley, L., & Mair, F. S. (2016) · BMC Pulmonary Medicine · doi:10.1186/s12890-016-0248-7 · Cited by 63
Harder, V. S., Musau, A. M., Musyimi, C. W., Ndetei, D. M., & Mutiso, V. N. (2020) · Addiction · doi:10.1111/add.14903 · Cited by 58
Mwananyanda, L. M., Pierre, C. M., Mwansa, J. C. L., Cowden, C., Localio, A. R., Kapasa, M., Machona, S., Lukwesa‐Musyani, C., Chilufya, M., Munanjala, G., et al. (2018) · Clinical Infectious Diseases · doi:10.1093/cid/ciy1114 · Cited by 55
Self-citationWillcox, M., Moorthy, A., Mohan, D., Romano, K., Hutchful, D., Mehl, G. L., Labrique, A. B., & LeFevre, A. E. (2018) · Journal of Medical Internet Research · doi:10.2196/11268 · Cited by 70
Osei, E., Kuupiel, D., Vezi, P. N., & Mashamba-Thompson, T. P. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-01381-x · Cited by 62
Cundill, B., Mbakilwa, H., Chandler, C., Mtove, G. A., Mtei, F., Willetts, A., Foster, E., Muro, F. J., Mwinyishehe, R., Mandike, R., et al. (2015) · BMC Medicine · doi:10.1186/s12916-015-0346-z · Cited by 58
Routine Health Information System (RHIS) improvements for strengthened health system management
Leon, N., Balakrishna, Y., Hohlfeld, A., Odendaal, W., Schmidt, B., Zweigenthal, V., Watkins, J. A., & Daniels, K. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012012.pub2 · Cited by 64
Krah, E., & de Kruijf, J. G. (2016) · Digital Health · doi:10.1177/2055207616679264 · Cited by 59
Peprah, P., Abalo, E. M., Agyemang‐Duah, W., Budu, H. I., Appiah-Brempong, E., Morgan, A. K., & Gyimah, A. A. (2020) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-1040-4 · Cited by 58
Gender differentials in readiness and use of mHealth services in a rural area of Bangladesh
Khatun, F., Heywood, A. E., Hanifi, S. M. A., Rahman, M. S., RAY, P. K., Liaw, S., & Bhuiya, A. (2017) · BMC Health Services Research · doi:10.1186/s12913-017-2523-6 · Cited by 60
Composite measures of quality of health care: Evidence mapping of methodology and reporting
Kara, P., Valentin, J. B., Mainz, J., & Johnsen, S. P. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268320 · Cited by 59
Effectiveness of Telemedicine for Controlling Asthma Symptoms: A Systematic Review and Meta-analysis
Zhao, J., Zhai, Y.-K., Zhu, W.-J., & Sun, D.-X. (2015) · Telemedicine and e-Health · doi:10.1089/tmj.2014.0119 · Cited by 54
Oduro‐Mensah, E., Kwamie, A., Antwi, E., Bamfo, S. A., Bainson, H. M., Marfo, B., Amoakoh‐Coleman, M., Grobbee, D. E., & Agyepong, I. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055610 · Cited by 52
Mobile phones improve case detection and management of malaria in rural Bangladesh
Prue, C. S., Shannon, K., Khyang, J., Edwards, L., Ahmed, S., Ram, M., Shields, T., Hossain, M. S., Glass, G. E., Nyunt, M. M., et al. (2013) · Malaria Journal · doi:10.1186/1475-2875-12-48 · Cited by 50
Bawate, C., Callender-Carter, S. T., Nsajju, B., & Bwayo, D. (2016) · Malaria Journal · doi:10.1186/s12936-016-1153-5 · Cited by 49
Royston, G., Pakenham-Walsh, N. M., & Zielinski, C. (2020) · BMJ Global Health · doi:10.1136/bmjgh-2020-002475 · Cited by 50
Holeman, I., Evans, J., Kane, D., Grant, L., Pagliari, C., & Weller, D. (2014) · European Journal of Cancer Care · doi:10.1111/ecc.12250 · Cited by 42
Mudiyanselage, K. W. W., De Santis, K. K., Jörg, F., Saleem, M., Stewart, R., Zeeb, H., & Busse, H. (2024) · BMC Public Health · doi:10.1186/s12889-023-17417-6 · Cited by 48
Vulnerabilities in mHealth implementation: a Ugandan HIV/AIDS SMS campaign
Chib, A., Wilkin, H., & Hoefman, B. (2013) · Global Health Promotion · doi:10.1177/1757975912462419 · Cited by 47
Campbell, N., Schiffer, E., Buxbaum, A., McLean, E., Perry, C., & Sullivan, T. (2014) · Global Health: Science and Practice Journal · doi:10.9745/ghsp-d-13-00141 · Cited by 49
Metadata
- Authors
- Zurovac, D., Sudoi, R. K., Akhwale, W. S., Ndiritu, M., Hamer, D. H., Rowe, A. K., & Snow, R. W.
- Affiliations
- Boston University (US)
- Kenya Medical Research Institute (KE)
- Ministry of Health (KE)
- Centers for Disease Control and Prevention (US)
- John Radcliffe Hospital (GB)
- Corresponding author
- Zurovac, Dejan
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 378
- Issue
- 9793
- Pages
- 795-803
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC3163847
- OpenAlex
- W2160800204
- Cited by
- 403
- References
- 25
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 30 · 2023: 11 · 2022: 17 · 2021: 30 · 2020: 26 · 2019: 29 · 2018: 25 · 2017: 32 · 2016: 38 · 2015: 30 · 2014: 52 · 2013: 40 · 2012: 23
- FWCI
- 71.82
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- The Lancet (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- the Wellcome Trust, UK through a project grant to RWS ((grant number 084253))
- the Wellcome Trust as Principal Research Fellow ((grant number 079080))
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Keywords
- SMS reminders, mobile phone intervention, malaria treatment guidelines, pediatric malaria, artemether-lumefantrine, malaria case management, health worker education, rural health facilities, Kenya
- MeSH terms
- Artemether, Lumefantrine Drug Combination, Antimalarials, Child, Child, Preschool, Drug Combinations, Ethanolamines, Fluorenes, Health Personnel, Humans, Infant, Kenya, Malaria, Quality Assurance, Health Care, Cluster Analysis, Reminder Systems, Rural Health Services, Guideline Adherence, Artemisinins, Cell Phone
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
