ArticleTranslational behavioral medicine2015
It takes a (virtual) village: crowdsourcing measurement consensus to advance survivorship care planning.
Article in Translational behavioral medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The application of crowdsourcing approaches to cancer research: a systematic review.Cancer medicine · 2017Pooled it
- Impact of Survivorship Care Plans and Planning on Breast, Colon, and Prostate Cancer Survivors in a Community Oncology Practice.Journal of cancer education : the official journal of the American Association for Cancer Education · 2020Article
- Research data management in health and biomedical citizen science: practices and prospects.JAMIA open · 2020Article
- Evaluation of a survivorship needs assessment planning tool for head and neck cancer survivor-caregiver dyads.Journal of cancer survivorship : research and practice · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We report results from the use of an innovative tool (the Grid-Enabled Measures (GEM) database) to drive consensus on the use of measures evaluating the efficacy and implementation of survivorship care plans. The goal of this initiative was to increase the use of publicly available shared measures to enable comparability across studies. Between February and August 2012, research and practice communities populated the GEM platform with constructs and measures relevant to survivorship care planning, rated the measures, and provided qualitative feedback on the quality of the measures. Fifty-one constructs and 124 measures were entered into the GEM-Care Planning workspace by participants. The greatest number of measures appeared in the domains of Health and Psychosocial Outcomes, Health Behaviors, and Coordination of Care/Transitional Care. Using technology-mediated social participation, GEM presents a novel approach to how we measure and improve the quality of survivorship care.
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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.