Evidence map›Paper›PMID 29708865›Full record

ArticleTelemedicine journal and e-health : the official journal of the American Telemedicine Association2019

Assessing the Digital Divide Among Low-Income Perinatal Women: Opportunities for Provision of Health Information and Counseling.

Shauna P Acquavita, Debra A Krummel, Alexandra Talks, Alexandra Cobb, Erin McClure

Abstract read
In one paragraph

Article in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Shauna P Acquavita1 School of Social Work, College of Allied Health Sciences, University of Cincinnati, Cincinnati, Ohio.
Debra A Krummel1 School of Social Work, College of Allied Health Sciences, University of Cincinnati, Cincinnati, Ohio.
Alexandra Talks2 Central Clinic, University of Cincinnati Medical Center, Cincinnati, Ohio.
Alexandra Cobb3 Department of Nutritional Sciences, University of Cincinnati, Cincinnati, Ohio.
Erin McClure4 Addiction Sciences Division, Medical University of South Carolina, Charleston, South Carolina.

Funding

Technological Innovations for the Remote Monitoring of Smoking in AdolescentsK01DA036739 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCCLURE, ERIN A · 2014 to 2018
$771k
NIDA NIH HHS K01 DA036739
6 · The paper itself

Abstract

objectivesTechnology-based health interventions may provide a means to reach low-income perinatal women and improve outcomes for both mother and infant, yet little is known about technology access and interest among this population. This study explored interest, attitudes, and concerns regarding technology to deliver health information and interventions.

methodsBetween May and October 2014, a cross-sectional study of 161 low-income pregnant and/or postpartum mothers (up to 1 year) was conducted, assessing attitudes and behaviors regarding the current use of devices and receptivity to interventions delivered through devices. Participants (ages 18-41) were pregnant or postpartum and able to read and comprehend English. Women were recruited from waiting areas at two urban clinics affiliated with the local health department in a Midwestern city in the United States. Surveys included 46 questions and were completed at the time of invitation. Descriptive statistics, independent sample t test, or chi-square for independence tests were completed using SPSS (version 23).

resultsParticipants from this sample were mostly African American (60%) and had a mean age of 26 years. Most were postpartum (67%). The majority of the sample used mobile phones (most being smartphones), with less access and use of computers and tablets.

conclusionA moderate level of interest in utilizing technology for health-related information and interventions was found, with concerns related to privacy and time.

Indexed as

Digital DividePovertyAdolescentAdultCell PhoneConfidentialityCounselingCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMobile ApplicationsMothersPatient Education as TopicPostpartum PeriodPregnancy

Identifiers

PMID29708865
PMCPMC6913108

What OpenQuestion holds

Textmetadata
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.