Evidence map›Paper›PMID 28645278›Full record

ArticleBMC health services research2017

The impact of mobile phone based messages on maternal and child healthcare behaviour: a retrospective cross-sectional survey in Bangladesh.

Mafruha Alam, Catherine D'Este, Cathy Banwell, Kamalini Lokuge

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Mobile Phone-Based Nutrition Education Targeting Pregnant and Nursing Mothers in Sri Lanka.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mafruha AlamNational Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University, Canberra, Australia. mafruha.alam@anu.edu.au.ORCID 0000-0001-7433-4220
Catherine D'EsteNational Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University, Canberra, Australia.
Cathy BanwellNational Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University, Canberra, Australia.
Kamalini LokugeNational Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University, Canberra, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile phones are gradually becoming an integral part of healthcare services worldwide. We assessed the association between Aponjon mobile phone based messaging services and practices regarding childbirth and care of mother and neonates in selected areas in Bangladesh.

methodsIn early 2014, 476 subscriber mothers whose last born child's age was between 3 and 18 months, were recruited to the study by Dnet from selected areas of Bangladesh. One group of mothers received the early warning messages from Aponjon during pregnancy (exposed; n = 210) while the other group of new mothers did not receive the messages during pregnancy as they had enrolled in the service after childbirth (non-exposed; n = 266). We undertook regression analyses to investigate the relationship between timing of exposure to Aponjon messages and socio-economic factors and outcomes of safe delivery, immediate breastfeeding post birth, delayed bathing of the neonate, and number of postnatal care (PNC) visits.

resultsWomen reported delivering babies at home without a skilled birth attendant (SBA) (n = 58, 12%), at home with SBA (n = 111, 23%) and at health facilities (n = 307, 65%). Most (n = 443, 93%) women breastfed babies immediately post birth. Babies were bathed after 72 h (n = 294, 62%), between 48 and 72 (n = 100, 21%) and between 0 and 47 (n = 80, 17%) hours after birth. PNC frequencies were reported as none (n = 273, 57%), 1 (n = 79, 17%), 2 (n = 54, 11%), 3 (n = 34, 7%) and 4 (n = 36, 8%). There was no significant association between exposure to Aponjon messages during pregnancy and presence of a SBA at birth, breastfeeding practices, and postnatal care visits, although delayed bathing up to 48 h was significant at the 10% but not 5% level (RRR 1.7; 95% CI 0.93-3.0; p = 0.083). Women with higher education, from higher income, older in age, with birth order 1 or 2 were more likely to birth at health facilities. Facility based delivery was an independent factor for delayed bathing and having postnatal care visits.

conclusionsLow cost mobile phone messages may have the potential to positively influence maternal and child healthcare behaviours, such as delayed timing of first bath, in resource-poor settings. Further studies are needed, with adequate sample size to detect significant change.

Indexed as

Cell PhoneHealth BehaviorInfant HealthMothersText MessagingAdultBangladeshBreast FeedingCross-Sectional StudiesFemaleHealth ServicesHumansInfantInfant, NewbornInterviews as TopicParturitionBangladeshBreastfeedingDelayed bathingmhealthPostnatal care visits

Identifiers

PMID28645278
PMCPMC5482970

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.