Study Results
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Basic Information
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COMPLETED
NA
5095 participants
INTERVENTIONAL
2018-07-07
2021-12-31
Brief Summary
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The Johns Hopkins School of Public Health, Oxford Policy Management, and University of Cape Town are supporting BBC Media Action and the Ministry of Health and Family Welfare (MOHFW) are conducting an external evaluation of both Kilkari and Mobile Academy (MA). The evaluation spans through April 2020.
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Detailed Description
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These studies will help inform program modification and scale-up plans, and will help better understand the effects of maternal mobile messaging in India and globally.
1. Secondary analysis of cross-site trends in key performance indicators (Duration: throughout study):
Mobile Academy (MA): We will use system generated data to estimate the proportion of ASHAs who have completed MA training across 12 states. We will additionally aim to understand linkages between ASHA's exposure to the MA training content and performance on MA knowledge assessments.
Kilkari: We estimate that Kilkari users will have differing levels of exposure to the program. For example, some women may not be present when the Kilkari calls come and thus miss out on key content. Analyses of system generated data will aim to measure exposure to Kilkari messages by content area (e.g. nutrition, family planning, etc) across 12 states where implementation has occurred to date. As part of this analysis we'll seek to understand reasons why calls are not received, including phones being out of network, changes in SIM cards, etc.
2. Summative evaluation of Kilkari (Period: April 2018 to December 2019) Objective: To determine the effectiveness of mobile maternal health information messages on key health outcomes in 4 districts of Madhya Pradesh (MP).
This objective will be carried out through an individually randomized controlled trial initiated in early 2018. We propose conducting household surveys in all 4 study districts among the cohort of women identified during conception, starting in March 2018. Women identified within the 5-7 month of their pregnancy, who have access to a mobile phone, and consent to participate will be interviewed as part of baseline survey and recruited for participation into Kilkari by 8 months of conception (this is intended to mirror timings observed in Kilkari outreach in other states). Among individuals not randomized to receive messages, we would propose delaying implementation for Kilkari for a 12-month window to allow for evaluation activities to take place and additionally glean information which is anticipated to improve the efficiency of implementation / rollout in other areas.
3. ASHA Survey Objective: Identify factors underpinning differences Reproductive Maternal Newborn and Child Health (RMNCH) knowledge and motivation among frontline health workers, including exposure to the Mobile Academy training program.
As part of the baseline surveys described under activity 2 in MP, we will conduct face to face interviews with all ASHAs (n=1,200) across the four study districts in MP. A sub-sample will also be contacted for a follow-on phone survey a week later, to pilot modules and validate a phone survey tool on knowledge and motivation, which can then be applied to other ASHAs to measure key outcomes as part of MA deployments in other states, including Rajasthan.
4. Post-natal care phone survey Objective: Measure respectful maternity care (RMC) during childbirth, essential newborn care, and infant feeding practices within 0-3 months postpartum As part of baseline survey activities in MP, we propose additionally identifying women in 1-2 districts who are 0 to 3 months postpartum (n=880). Face to face interviews with postpartum women will provide a forum to measure key infant feeding and essential newborn care outcomes. Phone surveys, a week later, with a subset will help develop a validated phone survey tool for their measurement amongst individuals enrolled into Kilkari.
5. Qualitative interviews of both Kilkari and MA in MP and Rajasthan
Objectives:
Mobile Academy
• Understand stakeholder (ASHA, ASHA supervisor and beneficiary) perceptions of MA, including barriers / facilitators underpinning uptake and completion of MA training and enacting its content, and how it affects interpersonal communication between stakeholders.
Kilkari
* Understand stakeholder (ASHA, ASHA supervisor and beneficiary) perceptions of Kilkari, including different message content areas, barriers / facilitators to the adoption of Kilkari's recommended RMNCH practices and careseeking behaviors
* Identify barriers / facilitators for pregnancy and birth registration
The qualitative research component will complement the summative evaluation and secondary data analysis components. Qualitative research will include in-depth interviews and focus group discussions in both MP and Rajasthan. Differentials in uptake of MA across these settings provides a unique opportunity to understand the characteristics of ASHAs and the larger health systems environment which contribute to MA completion. Among Kilkari beneficiaries, qualitative research can help better understand user perception of content, the extent and mechanism of impact of the messages on health-related knowledge, behavior and relationships.
6. Economic evaluation of Kilkari Objective: To determine the incremental cost-effectiveness of Kilkari as compared to a null scenario of no messages To estimate the value for money of Kilkari, we will estimate the costs of program to all key stakeholders involved-including BBC Media Action, MOHFW, and end-users. To estimate the effects of the program on health outcomes, we will draw from household survey data at baseline and endline amongst individuals exposed and not exposed to messages. Data on changes in careseeking for antenatal care as well the adoption of practices around breastfeeding and family planning will be inputted into the Lives Saved Tool to generate a measure of lives saved associated with program activities. Lives saved will be used to yield an estimate of the incremental Disability-Adjusted Life Years (DALY) averted and ultimately a cost per DALY averted.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
SINGLE
Study Groups
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Kilkari
Pregnant and postpartum women randomized to the Kilkari arm will receive health information messages over their mobile phone during pregnancy and up to 1 year postpartum.
Kilkari
Kilkari is an outbound service that delivers weekly, time-appropriate audio messages about pregnancy, childbirth, and childcare directly to families on their mobile phones, starting from the second trimester of pregnancy until the child is one-year-old.
Comparison
Existing standard of care; no new health messages
No interventions assigned to this group
Interventions
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Kilkari
Kilkari is an outbound service that delivers weekly, time-appropriate audio messages about pregnancy, childbirth, and childcare directly to families on their mobile phones, starting from the second trimester of pregnancy until the child is one-year-old.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
15 Years
45 Years
FEMALE
Yes
Sponsors
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Oxford Policy Management
UNKNOWN
University of Cape Town
OTHER
Johns Hopkins Bloomberg School of Public Health
OTHER
Responsible Party
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Principal Investigators
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Amnesty E LeFevre, PhD
Role: PRINCIPAL_INVESTIGATOR
Johns Hopkins School of Public Health, University of Cape Town
Locations
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N/A-- recruitment occurring at household / community level in 4 districts: Rewa, Rajgarh, Mandsaur, Hoshangabad
Rewa, Madhya Pradesh, India
BBC Media Action
Delhi, , India
Countries
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References
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LeFevre AE, Mendiratta J, Jo Y, Chamberlain S, Ummer O, Miller M, Scott K, Shah N, Chakraborty A, Godfrey A, Dutt P, Mohan D. Cost-effectiveness of a direct to beneficiary mobile communication programme in improving reproductive and child health outcomes in India. BMJ Glob Health. 2023 Mar;6(Suppl 5):e009553. doi: 10.1136/bmjgh-2022-009553.
Bashingwa JJH, Mohan D, Chamberlain S, Scott K, Ummer O, Godfrey A, Mulder N, Moodley D, LeFevre AE. Can we design the next generation of digital health communication programs by leveraging the power of artificial intelligence to segment target audiences, bolster impact and deliver differentiated services? A machine learning analysis of survey data from rural India. BMJ Open. 2023 Mar 17;13(3):e063354. doi: 10.1136/bmjopen-2022-063354.
LeFevre AE, Shah N, Scott K, Chamberlain S, Ummer O, Bashingwa JJH, Chakraborty A, Godfrey A, Dutt P, Ved R, Mohan D; Kilkari Impact Evaluation Team. The impact of a direct to beneficiary mobile communication program on reproductive and child health outcomes: a randomised controlled trial in India. BMJ Glob Health. 2022 Jul;6(Suppl 5):e008838. doi: 10.1136/bmjgh-2022-008838.
Ng A, Mohan D, Shah N, Scott K, Ummer O, Chamberlain S, Bhatnagar A, Dhar D, Agarwal S, Ved R, LeFevre AE; Kilkari Impact Evaluation Team. Assessing the reliability of phone surveys to measure reproductive, maternal and child health knowledge among pregnant women in rural India: a feasibility study. BMJ Open. 2022 Mar 10;12(3):e056076. doi: 10.1136/bmjopen-2021-056076.
Chakraborty A, Mohan D, Scott K, Sahore A, Shah N, Kumar N, Ummer O, Bashingwa JJH, Chamberlain S, Dutt P, Godfrey A, LeFevre AE; Kilkari Impact Evaluation Team. Does exposure to health information through mobile phones increase immunisation knowledge, completeness and timeliness in rural India? BMJ Glob Health. 2021 Jul;6(Suppl 5):e005489. doi: 10.1136/bmjgh-2021-005489.
Palmer MJ, Henschke N, Bergman H, Villanueva G, Maayan N, Tamrat T, Mehl GL, Glenton C, Lewin S, Fonhus MS, Free C. Targeted client communication via mobile devices for improving maternal, neonatal, and child health. Cochrane Database Syst Rev. 2020 Jul 14;8(8):CD013679. doi: 10.1002/14651858.CD013679.
LeFevre A, Agarwal S, Chamberlain S, Scott K, Godfrey A, Chandra R, Singh A, Shah N, Dhar D, Labrique A, Bhatnagar A, Mohan D. Are stage-based health information messages effective and good value for money in improving maternal newborn and child health outcomes in India? Protocol for an individually randomized controlled trial. Trials. 2019 May 15;20(1):272. doi: 10.1186/s13063-019-3369-5.
Other Identifiers
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90075552
Identifier Type: -
Identifier Source: org_study_id
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