ArticleJMIR cancer2016
Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study.
Article in JMIR cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- A systematic review of the feasibility, acceptability, and efficacy of online supportive care interventions targeting men with a history of prostate cancer.Journal of cancer survivorship : research and practice · 2019Pooled it
- Online-delivered resistance exercise intervention among racially diverse breast cancer survivors: Feasibility, acceptability, and exploratory outcomes of B-REP.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Trial
- Trial
- Implementation and evaluation of an integrated ayurveda-yoga education program for lifestyle modifications among people with cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Implementing Lifestyle Medicine in Cancer Survivorship: A Narrative Review of Global Models.American journal of lifestyle medicine · 2025Article
- Cook and Move for Your Life, an eHealth intervention for women with breast cancer.NPJ breast cancer · 2024Article
- Changes of Symptoms of Anxiety, Depression, and Fatigue in Cancer Patients 3 Months after a Video-Based Intervention.International journal of environmental research and public health · 2023Observational
- Modality preferences for health behaviour interventions for post-treatment cancer survivors: a theoretical investigation.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Article
- A Web-based Lifestyle Intervention for Cancer Survivors: Feasibility and Acceptability of SurvivorSHINE.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022Review
- Adapting systematic scoping study methods to identify cancer-specific physical activity opportunities in Ontario, Canada.Systematic reviews · 2022Article
- eHealth-Based Interventions for Older Patients with Prostate Cancer: A Quick Review of the Literature.Telemedicine reports · 2022Review
- Mobile Health Applications, Cancer Survivors, and Lifestyle Modification: An Integrative Review.Computers, informatics, nursing : CIN · 2021Review
- Perceptions of eHealth-Enabled Physical Activity Interventions Among Cancer Survivors: Mixed Methods Study.JMIR cancer · 2020Article
- Predictors of enrollment in individual- and couple-based lifestyle intervention trials for cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018Article
- Physical Activity and Sedentary Behavior in Older Gastrointestinal Cancer Survivors: Need and Acceptability of Digital Health Interventions.Journal of gastrointestinal cancer · 2018Article
- Acceptability of a Mobile Phone App for Measuring Time Use in Breast Cancer Survivors (Life in a Day): Mixed-Methods Study.JMIR cancer · 2018Article
- Examining the accessibility of high-quality physical activity behaviour change support freely available online for men with prostate cancer.Journal of cancer survivorship : research and practice · 2018Article
- Demands and Needs for Psycho-Oncological eHealth Interventions in Women With Cancer: Cross-Sectional Study.JMIR cancer · 2017Article
- Designing more engaging computer-tailored physical activity behaviour change interventions for breast cancer survivors: lessons from the iMove More for Life study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2017Article
- Comparison of Internet and Telephone Interventions for Weight Loss Among Cancer Survivors: Randomized Controlled Trial and Feasibility Study.JMIR cancer · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundEffective, broad-reaching channels are important for the delivery of health behavior interventions in order to meet the needs of the growing population of cancer survivors in the United States. New technology presents opportunities to increase the reach of health behavior change interventions and therefore their overall impact. However, evidence suggests that older adults may be slower in their adoption of these technologies than the general population. Survivors' interest for more traditional channels of delivery (eg, clinic) versus new technology-based channels (eg, smartphones) may depend on a variety of factors, including demographics, current health status, and the behavior requiring intervention.
objectiveThe aim of this study was to determine the factors that predict cancer survivors' interest in new technology-based health behavior intervention modalities versus traditional modalities.
methodsSurveys were mailed to 1871 survivors of breast, prostate, and colorectal cancer. Participants' demographics, diet and physical activity behaviors, interest in health behavior interventions, and interest in intervention delivery modalities were collected. Using path analysis, we explored the relationship between four intervention modality variables (ie, clinic, telephone, computer, and smartphone) and potential predictors of modality interest.
resultsIn total, 1053 respondents to the survey (56.3% response rate); 847 provided complete data for this analysis. Delivery channel interest was highest for computer-based interventions (236/847, 27.9% very/extremely interested) and lowest for smartphone-based interventions (73/847, 8.6%), with interest in clinic-based (147/847, 17.3%) and telephone-delivered (143/847, 16.9%) falling in between. Use of other technology platforms, such as Web cameras and social networking sites, was positively predictive of interest in technology-based delivery channels. Older survivors were less likely to report interest in smartphone-based diet interventions. Physical activity, fruit and vegetable consumption, weight status, and age moderated relationships between interest in targeted intervention behavior and modality.
conclusionsThis study identified several predictors of survivor interest in various health behavior intervention delivery modalities. Overall, computer-based interventions were found to be most acceptable, while smartphones were the least. Factors related to survivors' current technology use and health status play a role in their interest for technology-based intervention versus more traditional delivery channels. Future health behavior change research in this population should consider participants' demographic, clinical, and lifestyle characteristics when selecting a delivery channel. Furthermore, current health behavior interventions for older cancer survivors may be best delivered over the Internet. Smartphone interventions may be feasible in the future following further adoption and familiarization by this particular population.
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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.