Evidence map›Paper›PMID 36755255›Full record

ArticleBMC medical informatics and decision making2023

Co-design and implementation of a mHealth intervention targeting fathers and mothers to improve breastfeeding.

Kidane Tadesse Gebremariam, Afework Mulugeta, Danielle Gallegos

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

Kidane Tadesse GebremariamInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia. gkidanet@gmail.com.
Afework MulugetaSchool of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Danielle GallegosSchool of Exercise and Nutrition Sciences, Queensland University of Technology (QUT), Victoria Park Road Kelvin Grove, Brisbane, QLD, 4059, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence has shown that SMS text message-based health education is effective in improving exclusive breastfeeding. However, there is limited evidence on the development and design of SMS messaging intervention targeting fathers and mothers.

methodThis is the formative assessment and intervention design for a larger trial targeting both fathers and mothers for breastfeeding support in Tigray, Ethiopia. A total of 42 parents of children less than 2 years of age were involved in the design process that also included nutrition experts. We recruited 128 expectant couples to the intervention (1-month antenatally) who continued for 3 months postnatally.

resultsSixteen messages were developed specific to feeding in the antenatal and postnatal periods. These messages were revised with parents and experts and pretested with parents. Over 4 months 87% of fathers and mothers received 3 or more SMS text messages. All fathers and 97% of mothers read the weekly SMS text messages. Almost 90% of mothers and fathers indicated their willingness to continue to receive SMS text messages related to infant feeding.

conclusionDevelopment of SMS based breastfeeding interventions should involve the target population in content design. The role of experts and target population in the co-design process is also crucial.

Indexed as

TelemedicineText MessagingBreast FeedingChildFathersFemaleHealth EducationHumansInfantMaleMothersPregnancyBreastfeedingCo-designeHealthLow-incomemHealthParents

Identifiers

PMID36755255
PMCPMC9906877

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.