ArticleBMC nursing2015
A process evaluation of a stroke-specific follow-up care model for stroke patients and caregivers; a longitudinal study.
Article in BMC nursing, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- A systematic review of causal pathways of socioeconomic inequalities in stroke.International journal of stroke : official journal of the International Stroke Society · 2026Pooled it
- Article
- Rehabilitation models that support transitions from hospital to home for people with acquired brain injury (ABI): a scoping review.BMC health services research · 2023Article
- Effects of a nurse-led peer support intervention for stroke survivors: protocol for a randomised controlled trial.BMJ open · 2022Article
- Coaching Ongoing Momentum Building On stroKe rEcovery journeY ('COMBO-KEY'): a randomised controlled trial protocol.BMJ open · 2019Article
- Process evaluation of an integrated care pathway in geriatric rehabilitation for people with complex health problems.BMC health services research · 2017Article
- Design and Usability Testing of the Stroke Caregiver Support System: A Mobile-Friendly Website to Reduce Stroke Caregiver Burden.Rehabilitation nursing : the official journal of the Association of Rehabilitation NursesArticle
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is a need for follow-up care after stroke, but there is no consensus about the way to organise it. An intervention providing follow-up care for stroke patients and caregivers showed favourable effects on the level of social activities, but no other effects were found. The intervention consists of a maximum of five home visits to patients and caregivers during a period of 18 months post-discharge. The home visits are conducted by a stroke care coordinator (SCC) using a structured assessment tool. The objective of this study was to examine process-related factors that could have influenced the effectiveness of the intervention.
methods77 stroke patients, 59 caregivers and 4 SCCs participated in the study. Data on the organisational characteristics of and the satisfaction with the intervention were collected by means of structured assessments, interviews and self-administered questionnaires at 1, 6, 12 and 18 months of follow-up. The intervention was provided between April 2008 and June 2011.
resultsPatients received an average of 3.8 home visits (SD 1.4) and 55% of them had a follow-up period of a maximum of 18 months. There were 1074 problems identified and the SCCs initiated 363 follow-up care and referral options. Stroke patients and caregivers were very satisfied with the intervention. The SCCs were satisfied with the assessment tool, but would like to see a structured referral system.
conclusionsThe intervention was only partially performed in accordance with the protocol and was positively evaluated by patients, caregivers and SCCs. It is recommended to add a structured referral system to the intervention.
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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.