Evidence map›Paper›PMID 21372645›Full record

ArticleComputers, informatics, nursing : CIN2011

Chronic health conditions and internet behavioral interventions: a review of factors to enhance user engagement.

Jane R Schubart, Heather L Stuckey, Ambika Ganeshamoorthy, Christopher N Sciamanna

Abstract read
PubMed Publisher
In one paragraph

Article in Computers, informatics, nursing : CIN, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
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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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  5. An online skin cancer risk-reduction intervention for young adults: Mechanisms of effects.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jane R SchubartDepartments of Surgery, Division of General Internal Medicine, The Pennsylvania State University, College of Medicine, Hershey, PA 17033, USA. jschubart@hmc.psu.edu
Heather L Stuckey
Ambika Ganeshamoorthy
Christopher N Sciamanna

Funding

Improving the Quality of Asthma Care Using the InternetR01HL088590 · NHLBI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SCIAMANNA, CHRISTOPHER N. · 2008 to 2011
$1.5M
NHLBI NIH HHS R01 HL088590
6 · The paper itself

Abstract

The objective of this study was to review the evidence about what factors influence user engagement in Internet-based behavioral interventions for chronic illness. We conducted a systematic review of the recent published literature. Searches of MEDLINE (using Ovid and PubMed), The Cochrane Library, and PsycINFO, from January 2000 to December 2008, were completed. Additional articles were identified from searching the bibliographies of retrieved articles. We identified studies of interactive health communication interventions delivered via the Internet that, apart from delivering health information, had another component such as interactive tools to manage illness, decision support for treatment, or social support. We restricted the age range to adulthood. The search identified 186 abstracts; 46 articles were reviewed. We used a qualitative approach called "positive deviance" to study those interventions that have succeeded in engaging users where most have failed. Some ways to improve user engagement in Internet interventions suggested by our review include addressing health concerns that are important and relevant to an individual patient or consumer and an individualized approach, such as personally tailored advice and feedback. Interventions that are part of larger health management programs that include clinicians appear to be especially promising.

Identifiers

PMID21372645

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.