دورية أكاديمية
Insights From a Text Messaging-Based Sexual and Reproductive Health Information Program in Tanzania (m4RH): Retrospective Analysis.
العنوان: | Insights From a Text Messaging-Based Sexual and Reproductive Health Information Program in Tanzania (m4RH): Retrospective Analysis. |
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المؤلفون: | Olsen PS; Health Services Research, Global Health, Population, and Nutrition, FHI 360, Durham, NC, United States., Plourde KF; Research Utilization, Global Health, Population, and Nutrition, FHI 360, Durham, NC, United States., Lasway C; Palladium: Make It Possible, Health Practice, Americas, Washington, DC, United States., van Praag E; Public Health Consultant, Dar es Salaam, United Republic Of Tanzania. |
المصدر: | JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2018 Nov 01; Vol. 6 (11), pp. e10190. Date of Electronic Publication: 2018 Nov 01. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101624439 Publication Model: Electronic Cited Medium: Print ISSN: 2291-5222 (Print) Linking ISSN: 22915222 NLM ISO Abbreviation: JMIR Mhealth Uhealth Subsets: PubMed not MEDLINE |
أسماء مطبوعة: | Original Publication: Toronto: JMIR Publications Inc., [2013]- |
مستخلص: | Background: Many mobile health (mHealth) interventions have the potential to generate and store vast amounts of system-generated participant interaction data that could provide insight into user engagement, programmatic strengths, and areas that need improvement to maximize efficacy. However, despite the popularity of mHealth interventions, there is little documentation on how to use these data to monitor and improve programming or to evaluate impact. Objective: This study aimed to better understand how users of the Mobile for Reproductive Health (m4RH) mHealth intervention engaged with the program in Tanzania from September 2013 to August 2016. Methods: We conducted secondary data analysis of longitudinal data captured by system logs of participant interactions with the m4RH program from 127 districts in Tanzania from September 2013 to August 2016. Data cleaning and analysis was conducted using Stata 13. The data were examined for completeness and "correctness." No missing data was imputed; respondents with missing or incorrect values were dropped from the analyses. Results: The total population for analysis included 3,673,702 queries among 409,768 unique visitors. New users represented roughly 11.15% (409,768/3,673,702) of all queries. Among all system queries for new users, 46.10% (188,904/409,768) users accessed the m4RH main menu. Among these users, 89.58% (169,218/188,904) accessed specific m4RH content on family planning, contraceptive methods, adolescent-specific and youth-specific information, and clinic locations after first accessing the m4RH main menu. The majority of these users (216,422/409,768, 52.82%) requested information on contraceptive methods; fewer users (23,236/409,768, 5.67%) requested information on clinic location. The conversion rate was highest during the first and second years of the program when nearly all users (11,246/11,470, 98.05%, and 33,551/34,830, 96.33%, respectively) who accessed m4RH continued on to query more specific content from the system. The rate of users that accessed m4RH and became active users declined slightly from 98.05% (11,246/11,470) in 2013 to 87.54% (56,696/64,765) in 2016. Overall, slightly more than one-third of all new users accessing m4RH sent queries at least once per month for 2 or more months, and 67.86% (278,088/409,768) of new and returning users requested information multiple times per month. Promotional periods were present for 15 of 36 months during the study period. Conclusions: The analysis of the rich data captured provides a useful framework with which to measure the degree and nature of user engagement utilizing routine system-generated data. It also contributes to knowledge of how users engage with text messaging (short message service)-based health promotion interventions and demonstrates how data generated on user interactions could inform improvements to the design and delivery of a service, thereby enhancing its effectiveness. (©Patrick S Olsen, Kate F Plourde, Christine Lasway, Eric van Praag. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 01.11.2018.) |
References: | BMC Public Health. 2007 Dec 18;7:352. (PMID: 18088437) Am J Prev Med. 2012 Nov;43(5):467-74. (PMID: 23079168) PLoS One. 2012;7(12):e52621. (PMID: 23300726) Mhealth. 2017 Mar 23;3:11. (PMID: 28567408) Interact J Med Res. 2017 Aug 22;6(2):e14. (PMID: 28829328) Transl Behav Med. 2017 Jun;7(2):254-267. (PMID: 27966189) Health Psychol Rev. 2015;9(4):397-416. (PMID: 25739668) J Biomed Inform. 2015 Aug;56:379-86. (PMID: 26173038) Am J Prev Med. 2016 Nov;51(5):833-842. (PMID: 27745683) JMIR Mhealth Uhealth. 2017 Jun 29;5(6):e89. (PMID: 28663164) J Med Internet Res. 2010 Nov 18;12(4):e52. (PMID: 21087922) Int J Gynaecol Obstet. 2013 Nov;123 Suppl 1:e2-6. (PMID: 24012514) Contraception. 2017 Jan;95(1):90-97. (PMID: 27421767) Annu Rev Public Health. 2015 Mar 18;36:393-415. (PMID: 25785892) Ann Behav Med. 2009 Aug;38(1):18-27. (PMID: 19802647) Reprod Health. 2016 Jan 05;13:1. (PMID: 26728505) Contraception. 2013 Feb;87(2):251-6. (PMID: 22935322) |
فهرسة مساهمة: | Keywords: data analysis; mHealth; mobile phone; short message service; user engagement |
تواريخ الأحداث: | Date Created: 20181104 Latest Revision: 20191120 |
رمز التحديث: | 20240628 |
مُعرف محوري في PubMed: | PMC6238099 |
DOI: | 10.2196/10190 |
PMID: | 30389651 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2291-5222 |
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DOI: | 10.2196/10190 |