Evidence map›Paper›PMID 31094327›Full record

ArticleJournal of medical Internet research2019

Health Information Technologies in the Support Systems of Pregnant Women and Their Caregivers: Mixed-Methods Study.

Marian Taylor Dorst, Shilo H Anders, Sai Chennupati, Qingxia Chen, Gretchen Purcell Jackson

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Designing for caregiving networks: a case study of primary caregivers of children with medical complexity.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
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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

5 authors at 2 institutions in 1 country.

Marian Taylor DorstVanderbilt University, Nashville, TN, United States.ORCID 0000-0001-5443-8743
Shilo H AndersVanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-2327-7323
Sai ChennupatiVanderbilt University, Nashville, TN, United States.ORCID 0000-0002-1242-7779
Qingxia ChenVanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0003-0507-1847
Gretchen Purcell JacksonVanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-3242-8058
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Personal Health Information Needs and Practices for Maternal Fetal CareR01HS021496 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JACKSON, GRETCHEN P · 2013 to 2016
$1.6M
AHRQ HHS R01 HS021496NCATS NIH HHS UL1 TR000445
6 · The paper itself

Abstract

backgroundThe quality and quantity of families' support systems during pregnancy can affect maternal and fetal outcomes. The support systems of expecting families can include many elements, such as family members, friends, and work or community groups. Emerging health information technologies (eg, social media, internet websites, and mobile apps) provide new resources for pregnant families to augment their support systems and to fill information gaps.

objectiveThis study sought to determine the number and nature of the components of the support systems of pregnant women and their caregivers (eg, family members) and the role of health information technologies in these support systems. We examined the differences between pregnant women's support systems and those of their caregivers and the associations between support system composition and stress levels.

methodsWe enrolled pregnant women and caregivers from advanced maternal-fetal and group prenatal care clinics. Participants completed surveys assessing sociodemographic characteristics, health literacy, numeracy, and stress levels and were asked to draw a picture of their support system. Support system elements were extracted from drawings, categorized by type (ie, individual persons, groups, technologies, and other) and summarized for pregnant women and caregivers. Participant characteristics and support system elements were compared using the Pearson chi-square test for categorical variables and Wilcoxon ranked sum test for continuous variables. Associations between support system characteristics and stress levels were measured with Spearman correlation coefficient.

resultsThe study enrolled 100 participants: 71 pregnant women and 29 caregivers. The support systems of pregnant women were significantly larger than those of caregivers-an average of 7.4 components for pregnant women and 5.4 components for caregivers (P=.003). For all participants, the most commonly reported support system elements were individual persons (408/680, 60.0%), followed by people groups (132/680, 19.4%), technologies (112/680, 16.5%), and other resources (28/680, 4.1%). Pregnant women's and caregivers' technology preferences within their support systems differed-pregnant women more often identified informational websites, apps, and social media as parts of their support systems, whereas caregivers more frequently reported general internet search engines. The size and components of these support systems were not associated with levels of stress.

conclusionsThis study is one of the first demonstrating that technologies comprise a substantial portion of the support systems of pregnant women and their caregivers. Pregnant women more frequently reported specific medical information websites as part of their support system, whereas caregivers more often reported general internet search engines. Although social support is important for maternal and fetal health outcomes, no associations among stress, support system size, and support system components were found in this study. As health information technologies continue to evolve and their adoption increases, their role in patient and caregiver support systems and their effects should be further explored.

Indexed as

Social NetworkingSocial SupportAdultCaregiversFemaleHumansMedical InformaticsPregnancySocial Mediacaregivershealth information technologylife stresspregnancysocial mediasocial networks

Identifiers

PMID31094327
PMCPMC6532338
OpenAlexW2933880991

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.