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Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India

The Kilkari programme is being implemented by the Government of India in 13 states. Designed by BBC Media Action and scaled in collaboration with the Ministry of Health and Family Welfare from January 2016, Kilkari had provided mobile health information to over 10 million subscribers by the time BBC...

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Autores principales: Bashingwa, Jean Juste Harrisson, Mohan, Diwakar, Chamberlain, Sara, Arora, Salil, Mendiratta, Jai, Rahul, Sai, Chauhan, Vinod, Scott, Kerry, Shah, Neha, Ummer, Osama, Ved, Rajani, Mulder, Nicola, LeFevre, Amnesty Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327807/
https://www.ncbi.nlm.nih.gov/pubmed/34312148
http://dx.doi.org/10.1136/bmjgh-2021-005213
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author Bashingwa, Jean Juste Harrisson
Mohan, Diwakar
Chamberlain, Sara
Arora, Salil
Mendiratta, Jai
Rahul, Sai
Chauhan, Vinod
Scott, Kerry
Shah, Neha
Ummer, Osama
Ved, Rajani
Mulder, Nicola
LeFevre, Amnesty Elizabeth
author_facet Bashingwa, Jean Juste Harrisson
Mohan, Diwakar
Chamberlain, Sara
Arora, Salil
Mendiratta, Jai
Rahul, Sai
Chauhan, Vinod
Scott, Kerry
Shah, Neha
Ummer, Osama
Ved, Rajani
Mulder, Nicola
LeFevre, Amnesty Elizabeth
author_sort Bashingwa, Jean Juste Harrisson
collection PubMed
description The Kilkari programme is being implemented by the Government of India in 13 states. Designed by BBC Media Action and scaled in collaboration with the Ministry of Health and Family Welfare from January 2016, Kilkari had provided mobile health information to over 10 million subscribers by the time BBC Media Action transitioned the service to the government in April 2019. Despite the reach of Kilkari in terms of the absolute number of subscribers, no longitudinal analysis of subscriber exposure to health information content over time has been conducted, which may underpin effectiveness and changes in health outcomes. In this analysis, we draw from call data records to explore exposure to the Kilkari programme in India for the 2018 cohort of subscribers. We start by assessing the timing of the first successful call answered by subscribers on entry to the programme during pregnancy or postpartum, and then assess call volume, delivery, answering and listening rates over time. Findings suggest that over half of subscribers answer their first call after childbirth, with the remaining starting in the pregnancy period. The system handles upwards of 1.2 million calls per day on average. On average, 50% of calls are picked up on the first call attempt, 76% by the third and 99.5% by the ninth call attempt. Among calls picked up, over 48% were listened to for at least 50% of the total content duration and 43% were listened to for at least 75%. This is the first analysis of its kind of a maternal mobile messaging programme at scale in India. Study analyses suggest that multiple call attempts may be required to reach subscribers. However, once answered, subscribers tend to listen the majority of the call—a figure consistent across states, over time, and by health content area.
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spelling pubmed-83278072021-08-19 Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India Bashingwa, Jean Juste Harrisson Mohan, Diwakar Chamberlain, Sara Arora, Salil Mendiratta, Jai Rahul, Sai Chauhan, Vinod Scott, Kerry Shah, Neha Ummer, Osama Ved, Rajani Mulder, Nicola LeFevre, Amnesty Elizabeth BMJ Glob Health Analysis The Kilkari programme is being implemented by the Government of India in 13 states. Designed by BBC Media Action and scaled in collaboration with the Ministry of Health and Family Welfare from January 2016, Kilkari had provided mobile health information to over 10 million subscribers by the time BBC Media Action transitioned the service to the government in April 2019. Despite the reach of Kilkari in terms of the absolute number of subscribers, no longitudinal analysis of subscriber exposure to health information content over time has been conducted, which may underpin effectiveness and changes in health outcomes. In this analysis, we draw from call data records to explore exposure to the Kilkari programme in India for the 2018 cohort of subscribers. We start by assessing the timing of the first successful call answered by subscribers on entry to the programme during pregnancy or postpartum, and then assess call volume, delivery, answering and listening rates over time. Findings suggest that over half of subscribers answer their first call after childbirth, with the remaining starting in the pregnancy period. The system handles upwards of 1.2 million calls per day on average. On average, 50% of calls are picked up on the first call attempt, 76% by the third and 99.5% by the ninth call attempt. Among calls picked up, over 48% were listened to for at least 50% of the total content duration and 43% were listened to for at least 75%. This is the first analysis of its kind of a maternal mobile messaging programme at scale in India. Study analyses suggest that multiple call attempts may be required to reach subscribers. However, once answered, subscribers tend to listen the majority of the call—a figure consistent across states, over time, and by health content area. BMJ Publishing Group 2021-07-26 /pmc/articles/PMC8327807/ /pubmed/34312148 http://dx.doi.org/10.1136/bmjgh-2021-005213 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Analysis
Bashingwa, Jean Juste Harrisson
Mohan, Diwakar
Chamberlain, Sara
Arora, Salil
Mendiratta, Jai
Rahul, Sai
Chauhan, Vinod
Scott, Kerry
Shah, Neha
Ummer, Osama
Ved, Rajani
Mulder, Nicola
LeFevre, Amnesty Elizabeth
Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India
title Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India
title_full Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India
title_fullStr Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India
title_full_unstemmed Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India
title_short Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India
title_sort assessing exposure to kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in india
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327807/
https://www.ncbi.nlm.nih.gov/pubmed/34312148
http://dx.doi.org/10.1136/bmjgh-2021-005213
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