Evidence map›Paper›PMID 23454601›Full record

Trial reportJournal of medical Internet research2013

How user characteristics affect use patterns in web-based illness management support for patients with breast and prostate cancer.

Elin Børøsund, Milada Cvancarova, Mirjam Ekstedt, Shirley M Moore, Cornelia M Ruland

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report 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. It is linked to trial NCT00710658 (A Randomized Clincial Trial to Evaluate the Effects of an Internett-based Support System for Cancer Patients on Symptom Distress, Depression, and Quality of Life.), which is not on this map. Cited by 49 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 6 pooled it
6.5field-weighted citation impact, top 3% 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.

NCT00710658 nacompletednot on this map

A Randomized Clincial Trial to Evaluate the Effects of an Internett-based Support System for Cancer Patients on Symptom Distress, Depression, and Quality of Life.

TypeinterventionalSponsorOslo University HospitalRan2006 to 2008Enrolled325ConditionsCancer, Breast Cancer, Prostate CancerArmsWebChoice
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 6 syntheses or guidelines pooled it, 96 citations in OpenAlex.

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  5. Effectiveness of Internet-based interventions in managing chemotherapy-related symptoms in patients with cancer: a systematic literature review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
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  10. Engagement with INSPIRE, an Online Program for Hematopoietic Cell Transplantation Survivors.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2018
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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 3 institutions in 3 countries.

Elin BørøsundCentre for Shared Decision Making and Collaborative Care Research, Oslo University Hospital, Oslo 0424, Norway. elin.borosund@rr-research.no
Milada Cvancarova
Mirjam Ekstedt
Shirley M Moore
Cornelia M Ruland
Oslo University Hospital · NOCase Comprehensive Cancer CenterKTH Royal Institute of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrequently eHealth applications are not used as intended and they have high attrition rates; therefore, a better understanding of patients' need for support is warranted. Specifically, more research is needed to identify which system components target different patient groups and under what conditions.

objectiveTo explore user characteristics associated with the use of different system components of a Web-based illness management support system for cancer patients (WebChoice).

methodsFor this secondary post hoc analysis of a large randomized controlled trial (RCT), in which WebChoice was tested among 325 breast cancer and prostate cancer patients who were followed with repeated measures for 1 year, usage patterns of 162 cancer patients in the intervention arm with access to WebChoice were extracted from the user log. Logistic regression was performed to identify patterns of associations between system use and patient characteristics. Latent class analyses (LCA) were performed to identify associations among the use of different system components and levels of social support, symptom distress, depression, self-efficacy, and health-related quality of life.

resultsApproximately two-thirds (103/162, 63.6%) of the patients logged on to WebChoice more than once, and were defined as users. A high level of computer experience (odds ratio [OR] 3.77, 95% CI 1.20-11.91) and not having other illnesses in addition to cancer (OR 2.10, 95% CI 1.02-4.34) increased the overall probability of using WebChoice. LCA showed that both men with prostate cancer and women with breast cancer who had low scores on social support accompanied with high levels of symptom distress and high levels of depression were more likely to use the e-message component. For men with prostate cancer, these variables were also associated with high use of the self-management advice component. We found important differences between men with prostate cancer and women with breast cancer when associations between WebChoice use and each user characteristic were analyzed separately. High use of all components was associated with low levels of social support among women with breast cancer, but not among men with prostate cancer. High use of e-messages, advice, and the discussion forum were associated with high levels of depression among women with breast cancer, but not among men with prostate cancer. For men with prostate cancer (but not women with breast cancer), high use of symptom assessments, advice, and the discussion forum were associated with high levels of symptom distress. However, it is unclear whether these findings can be attributed to differences related to diagnosis, gender, or both.

conclusionsThis study provides evidence that different user characteristics are associated with different use patterns. Such information is crucial to target Web-based support systems to different patient groups. LCA is a useful technique to identify subgroups of users. In our study, e-messages and self-management advice were highly used components for patients who had low levels of social support and high illness burden, suggesting that patients with these characteristics may find such tools particularly useful.

trial registrationClinicalTrials.gov NCT00710658; http://clinicaltrials.gov/ct2/show/NCT00710658 (Archived by WebCite at http://www.webcitation.org/6EmEWZiwz).

Indexed as

Disease ManagementInternetPatient ParticipationBreast NeoplasmsFemaleHumansMaleProstatic Neoplasms

Identifiers

PMID23454601
PMCPMC3636230
OpenAlexW1965530588

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.