ArticleBMC health services research2020
Development and evaluation of a bladder Cancer specific survivorship care plan by patients and clinical care providers: a multi-methods approach.
Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Trial
- Clinical Decision Support for Surgery: A Mixed Methods Study on Design and Implementation Perspectives From Urologists.Urology · 2024Article
- ERAS for Ambulatory TURBT: Enhancing Bladder Cancer Care (EMBRACE) randomised controlled trial protocol.BMJ open · 2024Article
- Models of Care in Providing Comprehensive Healthcare on Cancer Survivors: A Scoping Review with a TIDieR Checklist Analysis.International journal of environmental research and public health · 2024Article
- Bibliometrics Analysis of Diagnostic Test Accuracy Studies of Bladder Cancer.Disease markers · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
Abstract
BACKGROUND, CONTEXT AND PURPOSE: In spite of the mixed evidence for their impact, survivorship Care Plans (SCPs) are recommended to enhance quality of care for cancer survivors. Data on the feasibility of SCPs in bladder cancer (BC) is sparse. Using a mixed-methods approach, this study describes the iterative development, acceptability and feasibility of BC specific SCP (BC-SCP) in clinical settings.
methodsIn Phase I, we developed the BC-SCP. In Phase II, we conducted four focus groups with 19 patients and 15 providers to examine its acceptability and usability challenges. Data analyses using the Atlas.ti program, informed refinement of the BC-SCP. In Phase III, we conducted feasibility testing of the refined BC-SCP with 18 providers from 12 health-centers. An encounter survey was completed after each assessment to examine the feasibility of the BC-SCP. Chi-square and Fisher Exact tests were used for comparative analyses.
resultsDuring phase I, we observed high patient and provider acceptability of the BC-SCP and substantial engagement in improving its content, design, and structure. In Phase II, providers completed 59 BC-SCPs. Mean time for BC-SCP completion was 12.3 min. Providers reported that BC-SCP content was clear, did not hamper clinic flow and was readily completed with easy-to-access information. Comparative analyses to examine differences in SCP completion time by patient clinico-demographic characteristics and provider type revealed no significant differences.
conclusionsOur BC-SCP has clinical relevance, and can be used in an active practice setting. However, considerable progress will be necessary to achieve implementation of and sharing the BC-SCP with patients and care providers, particularly within the electronic medical record. In summary, BC-SCPs are essential to improve the follow up care of BC survivors. Clinical resources are required to ensure appropriate implementation of BC-SCPs.
trial registrationStudy HUM00056082.
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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.