Guidelines for reporting of health interventions using mobile phones: Mobile health (mHealth) Evidence reporting and assessment (mERA) checklist

BMJ (Online)

Volumn 352, Issue , 2016, Pages

  Agarwal, Smisha ^a,b,c   Lefevre, Amnesty E ^a,b   Lee, Jaime ^a,b   L'engle, Kelly ^d,e   Mehl, Garrett ^f   Sinha, Chaitali ^g   Labrique, Alain ^a,b   Vasudevan, Lavanya ^h   Tamrat, Tigest ⁱ   Kallander, Karin ^j   Mitchell, Marc ^k   Aziz, Muna Abdel ^l   Froen, Frederik ^m   Ormel, Hermen ⁿ   Muniz, Maria ^o   Asangansi, Ime ^p  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c IL   (United States)

^d FAMILY HEALTH INTERNATIONAL   (United States)

^e UNIVERSITY OF SAN FRANCISCO   (United States)

^f WORLD HEALTH ORGANIZATION   (Switzerland)

^g INTERNATIONAL DEVELOPMENT RESEARCH CENTRE   (Canada)

^h DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

ⁱ WHO Department of Reproductive Health and Research   (Switzerland)

^j MALARIA CONSORTIUM   (United Kingdom)

^k D Tree International   (United States)

^l Sudanese Public Health Network   (United Kingdom)

^m NORWEGIAN INSTITUTE OF PUBLIC HEALTH   (Norway)

ⁿ ROYAL TROPICAL INSTITUTE   (Netherlands)

^o UNICEF   (United States)

^p UN Foundation   (Nigeria)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ACCESS TO INFORMATION; ARTICLE; CHECKLIST; CLINICAL PROTOCOL; EVIDENCE BASED MEDICINE; HEALTH CARE ACCESS; HEALTH CARE COST; HEALTH CARE POLICY; HEALTH PROGRAM; HUMAN; MEDICAL DOCUMENTATION; MEDICAL INFORMATION; MEDICAL RESEARCH; MOBILE PHONE; PRACTICE GUIDELINE; PRIORITY JOURNAL; PROCESS DEVELOPMENT; WIRELESS COMMUNICATION; HEALTH CARE DELIVERY; HEALTH CARE PLANNING; HEALTH CARE QUALITY; ORGANIZATION AND MANAGEMENT; PROGRAM DEVELOPMENT; STANDARDS; TELEMEDICINE; TOTAL QUALITY MANAGEMENT;

CELL PHONES; CHECKLIST; HEALTH PLANNING GUIDELINES; HEALTH SERVICES ACCESSIBILITY; HUMANS; PROGRAM DEVELOPMENT; QUALITY IMPROVEMENT; QUALITY OF HEALTH CARE; TELEMEDICINE;

EID: 84961830178     PISSN: 09598146     EISSN: 17561833     Source Type: Journal    
DOI: 10.1136/bmj.i1174     Document Type: Article

References (32)

1. Qiang CZ, Yamamichi M, Hausman V, Altman DG. Mobile applications for the health sector. 2011. http://siteresources.worldbank.org/INFORMATIONANDCOMMUNICATIONANDTECHNOLOGIES/Resources/mHealth-report.pdf
2. Agarwal S, Labrique A. Newborn health on the line: the potential mHealth applications. JAMA 2014;312:229-30. doi:10.1001/jama.2014.6371.
3. Agarwal S, Perry HB, Long LA, Labrique AB. Evidence on feasibility and efective use of mHealth strategies by frontline health workers in developing countries: systematic review. Trop Med Int Health 2015;20:1003-14. doi:10.1111/tmi.12525.
4. Tomlinson M, Rotheram-Borus MJ, Swartz L, Tsai AC. Scaling up mHealth: where is the evidence? PLoS Med 2013;10:e1001382. doi:10.1371/journal.pmed.1001382.
5. Guyatt GH, Oxman AD, Vist GE, et al. GRADE Working Group. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ 2008;336:924-6. doi:10.1136/bmj.39489. 470347. AD.
6. Husereau D, Drummond M, Petrou S, et al. CHEERS Task Force. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement. BMC Med 2013;11:80. doi:10.1186/1741-7015-11-80.
7. Liberati A, Altman DG, Tetzlaf J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Ann Intern Med 2009;151:W65-94. doi:10.7326/0003-4819-151-4-200908180-00136.
8. Shea BJ, Grimshaw JM, Wells GA, et al. Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews. BMC Med Res Methodol 2007;7:10. doi:10.1186/1471-2288-7-10.
9. Schulz KF, Altman DG, Moher D. CONSORT Group. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMC Med 2010;8:18. doi:10.1186/1741-7015-8-18.
10. Stroup DF, Berlin JA, Morton SC, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000;283:2008-12. doi:10.1001/jama.283.15.2008.
11. Des Jarlais DC, Lyles C, Crepaz N. TREND Group. Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement. Am J Public Health 2004;94:361-6. doi:10.2105/AJPH.94.3.361.
12. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke J P. STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Prev Med 2007;45:247-51. doi:10.1016/j.ypmed.2007.08.012.
13. Eysenbach G. CONSORT-EHEALTH Group. CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res 2011;13:e126. doi:10.2196/jmir.1923.
14. Hofmann TC, Glasziou P P, Boutron I, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ 2014;348:g1687. doi:10.1136/bmj.g1687.
15. Moher D, Schulz KF, Simera I, Altman DG. Guidance for developers of health research reporting guidelines. PLoS Med 2010;7:e1000217. doi:10.1371/journal.pmed.1000217.
16. Jamison JC, Karlan D, Rafler P. Mixed method evaluation of a passive mHealth sexual information texting service in Uganda. National Bureau of Economic Research 2013. No w19107.
17. Ngabo F, Nguimfack J, Nwaigwe F, et al. Designing and implementing an innovative SMS-based alert system (RapidSMS-MCH) to monitor pregnancy and reduce maternal and child deaths in Rwanda. Pan Afr Med J 2012;13:31.23330022.
18. Stockwell MS, Kharbanda EO, Martinez RA, Vargas CY, Vawdrey DK, Camargo S. Efect of a text messaging intervention on influenza vaccination in an urban, low-income pediatric and adolescent population: a randomized controlled trial. JAMA 2012;307:1702-8. doi:10.1001/jama.2012.502.
19. PLOS Medicine editors. A reality checkpoint for mobile health: three challenges to overcome. PLoS Med 2013;10:e1001395. doi:10.1371/journal.pmed.1001395.
20. Stockwell MS, Kharbanda EO, Martinez RA, Vargas CY, Vawdrey DK, Camargo S. Efect of a text messaging intervention on influenza vaccination in an urban, low-income pediatric and adolescent population: a randomized controlled trial. JAMA 2012;307:1702-8. doi:10.1001/jama.2012.502.
21. L'Engle KL, Vahdat HL, Ndakidemi E, Lasway C, Zan T. Evaluating feasibility, reach and potential impact of a text message family planning information service in Tanzania. Contraception 2013;87:251-6. doi:10.1016/j.contraception. 2012.07.009.
22. Patrick K, Raab F, Adams MA, et al. A text message-based intervention for weight loss: randomized controlled trial. J Med Internet Res 2009;11:e1. doi:10.2196/jmir.1100.
23. Vahdat HL, L'Engle KL, Plourde KF, Magaria L, Olawo A. There are some questions you may not ask in a clinic: providing contraception information to young people in Kenya using SMS. Int J Gynaecol Obstet 2013;123(Suppl 1):e2-6. doi:10.1016/j.ijgo.2013.07.009.
24. Gold J, Lim MS, Hocking JS, Keogh LA, Spelman T, Hellard ME. Determining the impact of text messaging for sexual health promotion to young people. Sex Transm Dis 2011;38:247-52.
25. Lemay NV, Sullivan T, Jumbe B, Perry C P. Reaching remote health workers in Malawi: baseline assessment of a pilot mHealth intervention. J Health Commun 2012;17(Suppl 1):105-17. doi:10.1080/10810730.2011.649106.
26. Andreatta P, Debpuur D, Danquah A, Perosky J. Using cell phones to collect postpartum hemorrhage outcome data in rural Ghana. Int J Gynaecol Obstet 2011;113:148-51. doi:10.1016/j.ijgo.2010. 11.020.
27. Zurovac D, Larson BA, Sudoi RK, Snow RW. Costs and costefectiveness of a mobile phone text-message reminder programmes to improve health workers' adherence to malaria guidelines in Kenya. PLoS One 2012;7:e52045. doi:10.1371/journal.pone.0052045.
28. Tomlinson M, Solomon W, Singh Y, et al. The use of mobile phones as a data collection tool: a report from a household survey in South Africa. BMC Med Inform Decis Mak 2009;9:51. doi:10.1186/1472-6947-9-51.
29. Chaiyachati KH, Loveday M, Lorenz S, et al. A pilot study of an mHealth application for healthcare workers: poor uptake despite high reported acceptability at a rural South African community-based MDR-TB treatment program. PLoS One 2013;8:e64662. doi:10.1371/journal. pone.0064662.
30. Tomlinson M, Solomon W, Singh Y, et al. The use of mobile phones as a data collection tool: a report from a household survey in South Africa. BMC Med Inform Decis Mak 2009;9:51. doi:10.1186/1472-6947-9-51.
31. Dowshen N, Kuhns LM, Gray C, Lee S, Garofalo R. Feasibility of interactive text message response (ITR) as a novel, real-time measure of adherence to antiretroviral therapy for HIV+ youth. AIDS Behav 2013;17:2237-43. doi:10.1007/s10461-013-0464-6.
32. Arsand E, Tatara N, Østengen G, Hartvigsen G. Mobile phone-based self-management tools for type 2 diabetes: the few touch application. J Diabetes Sci Technol 2010;4:328-36. doi:10.1177/193229681000400213.