Evidence map›Paper›PMID 23360729›Full record

ArticleJournal of medical Internet research2013

Type 1 diabetes eHealth psychoeducation: youth recruitment, participation, and satisfaction.

Robin Whittemore, Sarah S Jaser, Melissa S Faulkner, Kathryn Murphy, Alan Delamater, Margaret Grey, TEENCOPE Research Group

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
14.1field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 57 citations in OpenAlex.

  1. Recruitment Into a Pediatric Continuous Glucose Monitoring RCT.Journal of diabetes science and technology · 2017
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  18. Sociodemographic Factors Influencing the Use of eHealth in People with Chronic Diseases.International journal of environmental research and public health · 2019
    Review
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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

7 authors at 5 institutions in 1 country.

Robin WhittemoreYale, School of Nursing, New Haven, CT, United States. robin.whittemore@yale.edu
Sarah S Jaser
Melissa S Faulkner
Kathryn Murphy
Alan Delamater
Margaret Grey
TEENCOPE Research Group
Yale University · USChildren's Hospital of Philadelphia · USUniversity of Arizona · USUniversity of Miami · USVanderbilt University · US

Funding

NURSING INTERVENTION TO IMPLEMENT DCCT THERAPY IN YOUTHR01NR004009 · NINR · YALE UNIVERSITY · PI GREY, MARGARET · 1995 to 2011
$8.1M
Coping, Parenting & Maternal-Child Adjustment in Adolescents with Type 1 DiabetesK23DK088454 · NIDDK · YALE UNIVERSITY · PI JASER, SARAH SANDERS · 2009 to 2013
$611k
NIDDK NIH HHS K23 DK088454NINR NIH HHS R01 NR004009NINR NIH HHS R01-NR04009
6 · The paper itself

Abstract

backgroundThe Internet and other eHealth technologies offer a platform for improving the dissemination and accessibility of psychoeducational programs for youth with chronic illness. However, little is known about the recruitment process and yield of diverse samples in Internet research with youth who have a chronic illness.

objectiveThe purpose of this study was to compare the demographic and clinical characteristics of youth with Type 1 diabetes on recruitment, participation, and satisfaction with 2 eHealth psychoeducational programs.

methodsYouth with Type 1 diabetes from 4 sites in the United States were invited to participate (N=510) with 320 eligible youth consenting (mean age=12.3, SD 1.1; 55.3% female; 65.2% white; and mean A1C=8.3, SD 1.5). Data for this secondary analysis included demographic information (age, race/ethnicity, and income), depressive symptoms, and recruitment rates, including those who refused at point of contact (22.0%), passive refusers who consented but did not participate (15.3%), and those who enrolled (62.7%). Participation (80% lessons completed) and a satisfaction survey (ie, how helpful, enjoyable) were also analyzed. Chi-square or analysis of variance (ANOVA) analyses were used.

resultsThere were significant differences in recruitment rates by income and race/ethnicity such that black, Hispanic, or mixed race/ethnicity and low-income youth were more likely to refuse passively compared to white and higher-income youth who were more likely to enroll (P<.001). Participation in program sessions was high, with 78.1% of youth completing at least 4 of 5 sessions. There were no significant differences in participation by program, age, gender, or race/ethnicity. Low-income youth were less likely to participate (P=.002). Satisfaction in both programs was also high (3.9 of 5). There were significant gender, race/ethnicity, and income differences, in that girls (P=.001), black, Hispanic, or mixed race/ethnicity youth (P=.02), and low-income youth (P=.02) reported higher satisfaction. There were no differences in satisfaction by program or age.

conclusionsResults indicate that black, Hispanic, or mixed race/ethnicity youth and low-income youth with Type 1 diabetes are less likely to enroll in Internet-based research than white and higher-income youth; thus, creative recruitment approaches are needed. Low-income youth were less likely to participate, possibly due to access. However, once enrolled, youth of diverse race/ethnicity and low-income youth with Type 1 diabetes were as highly satisfied with the eHealth programs as white youth and those with higher income. Results suggest that eHealth programs have the potential to reach diverse youth and be appealing to them.

Indexed as

InternetTelemedicineAdolescentChildDiabetes Mellitus, Type 1FemaleHealth EducationHumansMalePatient ParticipationPatient SatisfactionPatient SelectionUnited States

Identifiers

PMID23360729
PMCPMC3636279
OpenAlexW1997830247

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.