A digitalized program to improve antenatal health care in a rural setting in North-Western Burundi: Early evidence-based lessons.

In Burundi, the north-western region continues to grapple with the lowest level of antenatal care (ANC) attendance rate which is constantly about half the national average of 49% ANC4 coverage. Despite a dearth of empirical evidence to understand the determinants of this suboptimal attendance of ANC...

Full description

Bibliographic Details
Main Authors: Nadine Misago, Desire Habonimana, Roger Ciza, Jean Paul Ndayizeye, Joyce Kevin Abalo Kimaro
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-04-01
Series:PLOS Digital Health
Online Access:https://doi.org/10.1371/journal.pdig.0000133
_version_ 1797702520939741184
author Nadine Misago
Desire Habonimana
Roger Ciza
Jean Paul Ndayizeye
Joyce Kevin Abalo Kimaro
author_facet Nadine Misago
Desire Habonimana
Roger Ciza
Jean Paul Ndayizeye
Joyce Kevin Abalo Kimaro
author_sort Nadine Misago
collection DOAJ
description In Burundi, the north-western region continues to grapple with the lowest level of antenatal care (ANC) attendance rate which is constantly about half the national average of 49% ANC4 coverage. Despite a dearth of empirical evidence to understand the determinants of this suboptimal attendance of ANC, widespread evidence informs that women forget scheduled ANC appointments. We designed and tested a digital intervention that uses a reminder model aimed at increasing the number of women who attend at least 4 ANC visits in this region. We enrolled a cohort of 132 pregnant women who were followed until childbirth using a single arm pre- and post-test design. The digital model builds on the collaboration between midwives or nurses, community health workers (CHWs), and pregnant women who are centrally connected through regular automated communications generated by the cPanel of the digital intervention. In addition to ANC attendances, we nested a cross-sectional survey to understand mothers' perceptions and acceptability of the digital intervention using the acceptability framework by Sekhon et al. (2017). Descriptive analyses were performed to observe the trend in ANC attendance and logistic regressions fitted to seize determinants affecting mothers' acceptability of the intervention. Of 132 enrolled pregnant women, 1 (0.76%) dropped out. From a baseline of 23%, nearly 73.7% of mothers attended their subsequent ANC visits after the start of the intervention. From the third month of intervention, about 80% of mothers constantly attended ANC appointments; which corresponds to greater than 200% increase from the baseline. Findings showed that 96.2% of mothers expressed satisfaction, 77.1% positively reacted to automated reminders (attitudes), 70.2% expressed willingness to participate, and 86.3% had the ability to actively participate to the intervention. Conversely, half of mothers confirmed that participation to this programme somewhat affected their time management. A key learning is that digital interventions have a lot of promise to improve pregnancy monitoring in rural settings. However, the overall user acceptability was low especially among mothers lacking personal mobile phone.
first_indexed 2024-03-12T04:52:09Z
format Article
id doaj.art-be231864c1b345bfbe428394437ecda3
institution Directory Open Access Journal
issn 2767-3170
language English
last_indexed 2024-03-12T04:52:09Z
publishDate 2023-04-01
publisher Public Library of Science (PLoS)
record_format Article
series PLOS Digital Health
spelling doaj.art-be231864c1b345bfbe428394437ecda32023-09-03T09:21:25ZengPublic Library of Science (PLoS)PLOS Digital Health2767-31702023-04-0124e000013310.1371/journal.pdig.0000133A digitalized program to improve antenatal health care in a rural setting in North-Western Burundi: Early evidence-based lessons.Nadine MisagoDesire HabonimanaRoger CizaJean Paul NdayizeyeJoyce Kevin Abalo KimaroIn Burundi, the north-western region continues to grapple with the lowest level of antenatal care (ANC) attendance rate which is constantly about half the national average of 49% ANC4 coverage. Despite a dearth of empirical evidence to understand the determinants of this suboptimal attendance of ANC, widespread evidence informs that women forget scheduled ANC appointments. We designed and tested a digital intervention that uses a reminder model aimed at increasing the number of women who attend at least 4 ANC visits in this region. We enrolled a cohort of 132 pregnant women who were followed until childbirth using a single arm pre- and post-test design. The digital model builds on the collaboration between midwives or nurses, community health workers (CHWs), and pregnant women who are centrally connected through regular automated communications generated by the cPanel of the digital intervention. In addition to ANC attendances, we nested a cross-sectional survey to understand mothers' perceptions and acceptability of the digital intervention using the acceptability framework by Sekhon et al. (2017). Descriptive analyses were performed to observe the trend in ANC attendance and logistic regressions fitted to seize determinants affecting mothers' acceptability of the intervention. Of 132 enrolled pregnant women, 1 (0.76%) dropped out. From a baseline of 23%, nearly 73.7% of mothers attended their subsequent ANC visits after the start of the intervention. From the third month of intervention, about 80% of mothers constantly attended ANC appointments; which corresponds to greater than 200% increase from the baseline. Findings showed that 96.2% of mothers expressed satisfaction, 77.1% positively reacted to automated reminders (attitudes), 70.2% expressed willingness to participate, and 86.3% had the ability to actively participate to the intervention. Conversely, half of mothers confirmed that participation to this programme somewhat affected their time management. A key learning is that digital interventions have a lot of promise to improve pregnancy monitoring in rural settings. However, the overall user acceptability was low especially among mothers lacking personal mobile phone.https://doi.org/10.1371/journal.pdig.0000133
spellingShingle Nadine Misago
Desire Habonimana
Roger Ciza
Jean Paul Ndayizeye
Joyce Kevin Abalo Kimaro
A digitalized program to improve antenatal health care in a rural setting in North-Western Burundi: Early evidence-based lessons.
PLOS Digital Health
title A digitalized program to improve antenatal health care in a rural setting in North-Western Burundi: Early evidence-based lessons.
title_full A digitalized program to improve antenatal health care in a rural setting in North-Western Burundi: Early evidence-based lessons.
title_fullStr A digitalized program to improve antenatal health care in a rural setting in North-Western Burundi: Early evidence-based lessons.
title_full_unstemmed A digitalized program to improve antenatal health care in a rural setting in North-Western Burundi: Early evidence-based lessons.
title_short A digitalized program to improve antenatal health care in a rural setting in North-Western Burundi: Early evidence-based lessons.
title_sort digitalized program to improve antenatal health care in a rural setting in north western burundi early evidence based lessons
url https://doi.org/10.1371/journal.pdig.0000133
work_keys_str_mv AT nadinemisago adigitalizedprogramtoimproveantenatalhealthcareinaruralsettinginnorthwesternburundiearlyevidencebasedlessons
AT desirehabonimana adigitalizedprogramtoimproveantenatalhealthcareinaruralsettinginnorthwesternburundiearlyevidencebasedlessons
AT rogerciza adigitalizedprogramtoimproveantenatalhealthcareinaruralsettinginnorthwesternburundiearlyevidencebasedlessons
AT jeanpaulndayizeye adigitalizedprogramtoimproveantenatalhealthcareinaruralsettinginnorthwesternburundiearlyevidencebasedlessons
AT joycekevinabalokimaro adigitalizedprogramtoimproveantenatalhealthcareinaruralsettinginnorthwesternburundiearlyevidencebasedlessons
AT nadinemisago digitalizedprogramtoimproveantenatalhealthcareinaruralsettinginnorthwesternburundiearlyevidencebasedlessons
AT desirehabonimana digitalizedprogramtoimproveantenatalhealthcareinaruralsettinginnorthwesternburundiearlyevidencebasedlessons
AT rogerciza digitalizedprogramtoimproveantenatalhealthcareinaruralsettinginnorthwesternburundiearlyevidencebasedlessons
AT jeanpaulndayizeye digitalizedprogramtoimproveantenatalhealthcareinaruralsettinginnorthwesternburundiearlyevidencebasedlessons
AT joycekevinabalokimaro digitalizedprogramtoimproveantenatalhealthcareinaruralsettinginnorthwesternburundiearlyevidencebasedlessons