Improving the Quality of Antenatal Care Using Mobile Health in Madagascar: Five-Year Cross-Sectional Study.
antenatal care
maternal health
mobile health
mobile phone
quality of care
Journal
JMIR mHealth and uHealth
ISSN: 2291-5222
Titre abrégé: JMIR Mhealth Uhealth
Pays: Canada
ID NLM: 101624439
Informations de publication
Date de publication:
08 07 2020
08 07 2020
Historique:
received:
04
03
2020
accepted:
14
05
2020
revised:
06
04
2020
entrez:
17
7
2020
pubmed:
17
7
2020
medline:
7
4
2021
Statut:
epublish
Résumé
Despite many efforts, maternal mortality remains a major burden in most developing countries. Mobile health (mHealth) has the potential to improve access to obstetric care through apps that help patients and providers. This study aimed to use mHealth to provide antenatal care (ANC) to 1446 pregnant women in a rural area in Madagascar and evaluate the quality of ANC provided by an mHealth system designed to change the behaviors of providers and patients. We included 1446 women who attended ANC visits in rural Madagascar from 2015 to 2019 using an mHealth system called Pregnancy and Newborn Diagnostic Assessment (PANDA). This cross-sectional study used data from different participants, with information collected over several years, to analyze the outputs related to the quality of ANC over time. Specifically, we examined the timing of the first ANC visit, the relationship between the visit duration and the risk factors among pregnant women, and the number of ANC visits per woman. Following the implementation of the mHealth system in 2015, we observed that women started to come earlier for their first ANC visit; more women attended their first ANC visit in the second trimester of pregnancy in 2019 than in the previous years (P<.001). In 2019, fewer women attended their first ANC visit in the third trimester (57/277, 20.6%) than in 2015 (147/343, 42.9%). There were statistically significant associations between the ANC visit durations and the risk factors, including age (>35 years; 25.0 min, 95% CI 24.0-25.9), educational level (longer visit for women with lower than primary education and for women who attended university and shorter for women with primary school-level education; 40.7 min, 95% CI 30.2-51.3 and 25.3 min, 95% CI 24.4-26.3 vs 23.3 min, 95% CI 22.9-23.8; P=.001), experience of domestic violence during pregnancy, gravidity, parity, infectious diseases (HIV, malaria, and syphilis), and level of anemia. Statistically significant associations were observed for all quality indicator variables. We observed a statistically significant increase in the number of ANC visits per woman over time from 2015 to 2017; the number of ANC visits per woman then became stable after the third year of implementing the PANDA mHealth system. This study shows the potential of an mHealth system to improve the quality of ANC, change provider behavior by standardizing ANC visits, and change patient behavior by increasing the willingness to return for subsequent visits and encouraging ANC attendance early in pregnancy. As this is an exploratory study, further studies are necessary to better understand how mHealth can change behavior and identify the conditions required for behavioral changes to persist over time.
Sections du résumé
BACKGROUND
Despite many efforts, maternal mortality remains a major burden in most developing countries. Mobile health (mHealth) has the potential to improve access to obstetric care through apps that help patients and providers.
OBJECTIVE
This study aimed to use mHealth to provide antenatal care (ANC) to 1446 pregnant women in a rural area in Madagascar and evaluate the quality of ANC provided by an mHealth system designed to change the behaviors of providers and patients.
METHODS
We included 1446 women who attended ANC visits in rural Madagascar from 2015 to 2019 using an mHealth system called Pregnancy and Newborn Diagnostic Assessment (PANDA). This cross-sectional study used data from different participants, with information collected over several years, to analyze the outputs related to the quality of ANC over time. Specifically, we examined the timing of the first ANC visit, the relationship between the visit duration and the risk factors among pregnant women, and the number of ANC visits per woman.
RESULTS
Following the implementation of the mHealth system in 2015, we observed that women started to come earlier for their first ANC visit; more women attended their first ANC visit in the second trimester of pregnancy in 2019 than in the previous years (P<.001). In 2019, fewer women attended their first ANC visit in the third trimester (57/277, 20.6%) than in 2015 (147/343, 42.9%). There were statistically significant associations between the ANC visit durations and the risk factors, including age (>35 years; 25.0 min, 95% CI 24.0-25.9), educational level (longer visit for women with lower than primary education and for women who attended university and shorter for women with primary school-level education; 40.7 min, 95% CI 30.2-51.3 and 25.3 min, 95% CI 24.4-26.3 vs 23.3 min, 95% CI 22.9-23.8; P=.001), experience of domestic violence during pregnancy, gravidity, parity, infectious diseases (HIV, malaria, and syphilis), and level of anemia. Statistically significant associations were observed for all quality indicator variables. We observed a statistically significant increase in the number of ANC visits per woman over time from 2015 to 2017; the number of ANC visits per woman then became stable after the third year of implementing the PANDA mHealth system.
CONCLUSIONS
This study shows the potential of an mHealth system to improve the quality of ANC, change provider behavior by standardizing ANC visits, and change patient behavior by increasing the willingness to return for subsequent visits and encouraging ANC attendance early in pregnancy. As this is an exploratory study, further studies are necessary to better understand how mHealth can change behavior and identify the conditions required for behavioral changes to persist over time.
Identifiants
pubmed: 32673263
pii: v8i7e18543
doi: 10.2196/18543
pmc: PMC7381010
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e18543Informations de copyright
©Anne Caroline Benski, Nicole C Schmidt, Manuela Viviano, Giovanna Stancanelli, Adelia Soaroby, Michael R Reich. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 08.07.2020.
Références
Lancet Glob Health. 2016 Feb;4(2):e98-e108
pubmed: 26795602
PLoS One. 2019 Oct 2;14(10):e0222177
pubmed: 31577797
BMC Pregnancy Childbirth. 2018 Feb 5;18(1):46
pubmed: 29402226
Lancet. 2006 Oct 7;368(9543):1284-99
pubmed: 17027735
J Telemed Telecare. 2017 Jun;23(5):536-543
pubmed: 27365320
Glob Health Sci Pract. 2013 Aug 06;1(2):160-71
pubmed: 25276529
Lancet Glob Health. 2018 Nov;6(11):e1196-e1252
pubmed: 30196093
Lancet. 2016 May 14;387(10032):2049-59
pubmed: 26477328
BMC Pregnancy Childbirth. 2014 Jan 17;14:29
pubmed: 24438517
PLoS One. 2017 Jul 25;12(7):e0181793
pubmed: 28742809
Trop Med Int Health. 2013 Jan;18(1):35-9
pubmed: 23094758
JMIR Mhealth Uhealth. 2018 Jan 09;6(1):e7
pubmed: 29317380
Mhealth. 2017 Sep 14;3:39
pubmed: 29184891
PLoS One. 2019 Aug 22;14(8):e0221280
pubmed: 31437180
BJOG. 2016 Mar;123(4):529-39
pubmed: 26701735
JMIR Mhealth Uhealth. 2020 Feb 13;8(2):e16081
pubmed: 32053115
BMJ Open. 2018 Feb 24;8(2):e019345
pubmed: 29478019
Healthc (Amst). 2015 Dec;3(4):180-4
pubmed: 26699340
Int J Environ Res Public Health. 2019 Aug 29;16(17):
pubmed: 31470550