Evidence map›Paper›PMID 38957339›Full record

ArticleEthiopian journal of health sciences2024

Social Media in Pregnancy Care: Exploring Adoption Factors and Digital Healthcare Information Utilization among Expectant Mothers in Ghana.

Philomina Pomaah Ofori

Abstract read
In one paragraph

Article in Ethiopian journal of health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

1 author.

Philomina Pomaah OforiDepartment of Mobile and Pervasive Computing, Ghana Communication Technology University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Antenatal Care (ANC) Center is a conventional facility that caters for the prenatal healthcare needs of expectant mothers and ensures proper management by healthcare professionals; however, expectant mothers seek healthcare support from other sources. This study aimed to examine the utilization of social media for healthcare information among expectant mothers in the capital city of Ghana and explore the factors that influence its adoption. Method: This study employed a non-experimental survey design. The study used a questionnaire to gather data from expectant mothers. Using 580 valid responses, SmartPLS structural equation modeling (SEM) was used to analyze the study model. Results: The study findings demonstrated the significant influence of performance expectancy of social media (PESM) and facilitating conditions of social media (FCSM) on social media healthcare information usage (SMHLU). The results also revealed that emotional support on social media and perceived vulnerability were influential factors that shaped expectant mothers' choices to use social media for healthcare information. However, the study showed that perceived severity and the relative advantage of social media had no significant effects on SMHIU. Interestingly, FCSM was found to be significantly associated with PESM, emphasizing that social media support enhances performance expectancy. Conclusion: This study showed that information is important to expectant mothers, which compels them to seek digital healthcare. With these findings, healthcare providers can incorporate digital health services into their ANC service to support women during pregnancy.

Indexed as

Prenatal CareSocial MediaAdolescentAdultFemaleGhanaHumansInformation Seeking BehaviorMothersPatient Acceptance of Health CarePregnancySocial SupportSurveys and QuestionnairesYoung AdultEmotionsHealth informationPregnant womenSocial media

Identifiers

PMID38957339
PMCPMC11217798

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LicenceCC BY
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Registered trials

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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.