ArticleBMC neurology2022
Development of a patient decision aid for discharge planning of hospitalized patients with stroke.
Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 13 citations in OpenAlex.
- Article
- Shared Decision-Making Supported by Outcome Information During Discharge Planning of Patients Hospitalized With Stroke.Neurology. Clinical practice · 2026Article
- Situation analysis of implementation of the SMART safe discharge protocol: a study from East Guilan, Iran.BMC nursing · 2025Article
- Nursing Recommendations to Improve Discharge and Care Transitions From the Bedside.Journal of patient safety · 2025Article
- A scoping review of patient and public involvement in empirical stroke research.International journal of stroke : official journal of the International Stroke Society · 2024Article
- Use of co-design methodology in the development of cardiovascular disease secondary prevention interventions: A scoping review.Health expectations : an international journal of public participation in health care and health policy · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 8 institutions in 1 country.
Funding
Abstract
backgroundPatient involvement in discharge planning of patients with stroke can be accomplished by providing personalized outcome information and promoting shared decision-making. The aim of this study was to develop a patient decision aid (PtDA) for discharge planning of hospitalized patients with stroke.
methodsA convergent mixed methods design was used, starting with needs assessments among patients with stroke and health care professionals (HCPs). Results of these assessments were used to develop the PtDA with integrated outcome information in several co-creation sessions. Subsequently, acceptability and usability were tested to optimize the PtDA. Development was guided by the International Patient Decision Aids Standards (IPDAS) criteria.
resultsIn total, 74 patients and 111 HCPs participated in this study. A three-component PtDA was developed, consisting of: 1) a printed consultation sheet to introduce the options for discharge destinations, containing information that can be specified for each individual patient; 2) an online information and deliberation tool to support patient education and clarification of patient values, containing an integrated "patients-like-me" model with outcome information about discharge destinations; 3) a summary sheet to support actual decision-making during consultation, containing the patient's values and preferences concerning discharge planning. In the acceptability test, all qualifying and certifying IPDAS criteria were fulfilled. The usability test showed that patients and HCPs highly appreciated the PtDA with integrated outcome information.
conclusionsThe developed PtDA was found acceptable and usable by patients and HCPs and is currently under investigation in a clinical trial to determine its effectiveness.
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What OpenQuestion holds
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.