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Digital health for real-time monitoring of a national immunisation campaign in Indonesia: a large-scale effectiveness evaluation
OBJECTIVE: To assess the contribution of a digital health real-time monitoring platform towards the achievement of coverage targets during a national immunisation campaign in Indonesia. INTERVENTIONS: A digital health platform was introduced to facilitate real-time reporting and data visualisation....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733193/ https://www.ncbi.nlm.nih.gov/pubmed/33303436 http://dx.doi.org/10.1136/bmjopen-2020-038282 |
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author | Jusril, Hafizah Ariawan, Iwan Damayanti, Rita Lazuardi, Lutfan Musa, Miriam Wulandari, Suci Melati Pronyk, Paul Mechael, Patricia |
author_facet | Jusril, Hafizah Ariawan, Iwan Damayanti, Rita Lazuardi, Lutfan Musa, Miriam Wulandari, Suci Melati Pronyk, Paul Mechael, Patricia |
author_sort | Jusril, Hafizah |
collection | PubMed |
description | OBJECTIVE: To assess the contribution of a digital health real-time monitoring platform towards the achievement of coverage targets during a national immunisation campaign in Indonesia. INTERVENTIONS: A digital health platform was introduced to facilitate real-time reporting and data visualisation. Health workers submitted reports of children immunised each day by geolocation using mobile phones. Automated reports were generated for programme managers at all levels to enable early responses to coverage gaps. METHODS: Risk profiles were generated for each district to assess precampaign immunisation programme performance. Digital health platform use and progress towards targets were monitored continuously throughout the campaign. Study outcomes were total coverage and time to achieve full (100%) coverage. Kaplan-Meier, Cox and linear regression analyses were used to estimate the associations and outcomes after adjusting for district risk profiles. A complementary qualitative assessment explored user experiences and acceptance through interviews with vaccinators and programme managers in provinces and districts selected through multistage random sampling. RESULTS: Between August and December 2018, 6462 health facilities registered to use the digital health platform across 28 provinces and 395 districts. After adjusting for precampaign district risk profile and intracampaign delays due to vaccine hesitancy, districts with greater platform utilisation demonstrated higher coverage overall (R(2)=0.28, p<0.0001) and a shorter interval to achieving full coverage (>75% reporting compliance; Risk Ratio 15.4, 95% CI 5.8 to 40.6). Stronger effects were observed among districts experiencing implementation delays due to vaccine hesitancy. Results from 106 key informant interviews conducted in 6 provinces and 18 districts suggest high degrees of acceptability, ease of use and satisfaction. CONCLUSION: A digital health platform introduced for real-time monitoring of a national immunisation campaign in Indonesia was feasible, well liked and associated with improved problem solving and programme performance, particularly among districts affected by vaccine hesitancy. TRIAL REGISTRATION NUMBER: ISRCTN10850448. |
format | Online Article Text |
id | pubmed-7733193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-77331932020-12-21 Digital health for real-time monitoring of a national immunisation campaign in Indonesia: a large-scale effectiveness evaluation Jusril, Hafizah Ariawan, Iwan Damayanti, Rita Lazuardi, Lutfan Musa, Miriam Wulandari, Suci Melati Pronyk, Paul Mechael, Patricia BMJ Open Public Health OBJECTIVE: To assess the contribution of a digital health real-time monitoring platform towards the achievement of coverage targets during a national immunisation campaign in Indonesia. INTERVENTIONS: A digital health platform was introduced to facilitate real-time reporting and data visualisation. Health workers submitted reports of children immunised each day by geolocation using mobile phones. Automated reports were generated for programme managers at all levels to enable early responses to coverage gaps. METHODS: Risk profiles were generated for each district to assess precampaign immunisation programme performance. Digital health platform use and progress towards targets were monitored continuously throughout the campaign. Study outcomes were total coverage and time to achieve full (100%) coverage. Kaplan-Meier, Cox and linear regression analyses were used to estimate the associations and outcomes after adjusting for district risk profiles. A complementary qualitative assessment explored user experiences and acceptance through interviews with vaccinators and programme managers in provinces and districts selected through multistage random sampling. RESULTS: Between August and December 2018, 6462 health facilities registered to use the digital health platform across 28 provinces and 395 districts. After adjusting for precampaign district risk profile and intracampaign delays due to vaccine hesitancy, districts with greater platform utilisation demonstrated higher coverage overall (R(2)=0.28, p<0.0001) and a shorter interval to achieving full coverage (>75% reporting compliance; Risk Ratio 15.4, 95% CI 5.8 to 40.6). Stronger effects were observed among districts experiencing implementation delays due to vaccine hesitancy. Results from 106 key informant interviews conducted in 6 provinces and 18 districts suggest high degrees of acceptability, ease of use and satisfaction. CONCLUSION: A digital health platform introduced for real-time monitoring of a national immunisation campaign in Indonesia was feasible, well liked and associated with improved problem solving and programme performance, particularly among districts affected by vaccine hesitancy. TRIAL REGISTRATION NUMBER: ISRCTN10850448. BMJ Publishing Group 2020-12-10 /pmc/articles/PMC7733193/ /pubmed/33303436 http://dx.doi.org/10.1136/bmjopen-2020-038282 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Public Health Jusril, Hafizah Ariawan, Iwan Damayanti, Rita Lazuardi, Lutfan Musa, Miriam Wulandari, Suci Melati Pronyk, Paul Mechael, Patricia Digital health for real-time monitoring of a national immunisation campaign in Indonesia: a large-scale effectiveness evaluation |
title | Digital health for real-time monitoring of a national immunisation campaign in Indonesia: a large-scale effectiveness evaluation |
title_full | Digital health for real-time monitoring of a national immunisation campaign in Indonesia: a large-scale effectiveness evaluation |
title_fullStr | Digital health for real-time monitoring of a national immunisation campaign in Indonesia: a large-scale effectiveness evaluation |
title_full_unstemmed | Digital health for real-time monitoring of a national immunisation campaign in Indonesia: a large-scale effectiveness evaluation |
title_short | Digital health for real-time monitoring of a national immunisation campaign in Indonesia: a large-scale effectiveness evaluation |
title_sort | digital health for real-time monitoring of a national immunisation campaign in indonesia: a large-scale effectiveness evaluation |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733193/ https://www.ncbi.nlm.nih.gov/pubmed/33303436 http://dx.doi.org/10.1136/bmjopen-2020-038282 |
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