Keywords
Stroke, Transition, Systematic review, Intervention
Stroke, Transition, Systematic review, Intervention
In response to reviewer feedback a number of changes have been made to the protocol.
See the authors' detailed response to the review by Lena Von Koch and Sebastian Lindblom
See the authors' detailed response to the review by Gert Kwakkel
Stroke is one of the leading causes of death and disability worldwide1. While incidence, prevalence, mortality, and disability-adjusted life-years rates are in decline, “the overall stroke burden in terms of absolute number of people affected by, or who remained disabled from, stroke has increased across the globe in both men and women of all ages”2. Costs of stroke are rising, partly due to an ageing population, and the economic burden of stroke across Europe is currently estimated at 60 billion3.
Rehabilitation interventions such as early supported discharge (ESD) reduce hospital lengths of stay and costs in stroke care, while improving outcomes such as physical, cognitive and psychosocial function4. However, patients recovering from acute stroke have complex needs and face significant challenges in self-management of hospital to home transitions5. The American Geriatrics Society defines transitions of care as: “a set of actions designed to ensure the coordination and continuity of health care as patients transfer between different locations or different levels of care”6. Interventions at transitions of care are recognised as key to care coordination, impacting on quality of care and adverse events7.
Stroke survivors, caregivers and healthcare professionals identify a focus on minimising stroke-related impairments, adjusting to life after stroke, and receiving information and guidance in relation to the long-term consequences of stroke and secondary stroke prevention, as research priorities8. Stroke survivors require signposting in order to navigate the healthcare system, and information and support in relation to healthy living, fatigue management, maintaining physical activity, managing stress and psychological issues, return to work and driving9–11.
There is an opportunity for “support” interventions, provided when individuals are discharged from hospital or inpatient rehabilitation to home, to improve continuity and quality of care, improve functional outcomes, reduce healthcare utilisation, and improve patient and carer experience12, but there are gaps in knowledge about effective “support” interventions to better manage transitions for this complex health condition. A systematic review by Prvu Bettger et al., 2012, of the benefits or harms of interventions at transitions of care after hospitalisation for stroke or myocardial infarction, showed low-to-moderate strength evidence of effectiveness of hospital-initiated transitional care, but insufficient evidence for education, community-based models of support, and chronic disease management models of care for patients with stroke or myocardial infarction13. Wang et al., 2017, sought to identify the type of interventions at transitions of care to effectively reduce mortality and improve activities of daily living (ADLs) in stroke patients, categorising supports at transitions of care into hospital-initiated support, home-visiting programmes, telephone support, primary education, and out-patient setting support. Their meta-analysis showed that only home-visiting programmes reduced mortality rates (Risk Ratio (RR)=0.46; 95% Confidence Interval (CI): 0.28-0.74), and impacted positively on patient ADLs (RR=0.56; 95% CI: 0.31-0.81) after stroke, compared with usual care14.
Given the time since the most recent review14, the subsequent publication of a number of transitions of care intervention studies15,16, and policy plans to shift the way in which health and social care services are delivered17, we determined a systematic review of effectiveness of “support” interventions provided at transitions of care after stroke to be feasible.
An evidence synthesis will aid in identifying the key “support” elements that promote successful hospital-home transitions for stroke survivors and their families/caregivers. The aim of this protocol is to describe the methods we will employ to synthesise the best available evidence in relation to the effectiveness of support interventions provided at transitions of care after stroke on clinical and process outcomes.
Design: We will conduct a systematic review of randomised controlled trials (including cluster and quasi-randomisation) exploring the effectiveness of supports provided at transitions of care (moving between acute hospital/inpatient rehabilitation and home) after stroke. This protocol has been prepared in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocol (PRISMA-P) statement and checklist18,19, and it is registered in PROSPERO.
The PICOTS (population, intervention, comparison, outcomes, types of study design, setting) acronym has been applied to clarify the research question.
• Population
Adult stroke survivors (18 years of age or older) discharged from acute hospitalisation, inpatient rehabilitation to home. Studies that include TIA or subarachnoid haemorrhage will be accepted if > 80% of the participants have had an ischaemic stroke.
• Intervention(s)
“Support” intervention will be defined as an intervention specifically designed to help facilitate stroke survivors to self-manage their care after discharge from acute hospitalisation or inpatient rehabilitation to home e.g. individualised discharge plan, patient booklet, stroke passport etc. Interventions can take place before or after discharge, or include bridging interventions i.e. components that span settings (e.g. home visit from the acute setting). We will exclude an evidence synthesis of ESD interventions from the acute setting as this has been completed4,20. However, studies that explore interventions to bridge the transition to the community following ESD will be included.
• Comparator(s), Control
Usual care or other active interventions e.g. individualised discharge plan and patient booklet versus patient booklet.
• Outcomes
The primary outcome of interest is functional status, classified as per the activities component in the ICF Framework. All validated outcomes of functional status will be considered e.g. Functional Independence Measure (FIM); Barthel Index (BI).
Secondary outcomes will include clinical (physical and psychological), process (emergency department visits, rehospitalisation, mortality) and caregiver (e.g. burden, quality of life, mood) outcomes assessed within one year of hospital discharge.
Adverse events, expected (e.g. scheduled medical or surgical procedures) and unexpected (e.g. recurrent stroke, seizure, falls), will also be examined.
Randomised controlled trials (including cluster and quasi-randomisation) will be included. Studies included in quasi-randomisation will be limited to those that have a “strong” design, as determined by a checklist of design features21, which can estimate cause and effect with minimal risk of bias.
A systematic review of the literature will be conducted, with three groups of keywords related to “stroke”, “transition”, and “care setting”. One reviewer (GOC) will complete a comprehensive search of electronic databases (Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, CINAHL, Cochrane Library, APA PsychInfo and SCOPUS), based on a pre-defined search strategy, developed and conducted in collaboration with an Information Specialist (PM). The search will initially be conducted in MEDLINE via OVID, and we will then adapt this strategy to other databases. Databases will be searched from inception, with no language limitation. The reference list of articles that meet the inclusion criteria after full-text review will be hand-searched to identify additional articles. We will include a search of grey literature, and extend the search to Google Scholar. We will attempt to contact authors of published abstracts to request full-text versions of studies and/or study data. The full search strategy, with MESH and Keywords can be found in Table 1.
What is the effectiveness of support interventions provided at transitions of care after stroke on clinical and process outcomes?
All articles will be imported into Endnote X9 bibliographic software, and where possible duplicates will be deleted. The primary researcher (GOC) will carry out an initial scan to judge and exclude clearly irrelevant literature. Two reviewers (GOC and RG) will independently review the remaining titles and abstracts from transitional care trials obtained in the literature search and compare them to the inclusion/exclusion criteria. They will meet to reach consensus about full text inclusion. If either one of the reviewers deems that an article could fulfil the inclusion criteria, then the article will be included for full text screening. Two reviewers (GOC and RG) will read each article to confirm eligibility using the same agreement structure as for abstract screening.
Characteristics of the intervention such as
1. Study design,
2. Funding source,
3. Setting,
4. Geographic location,
5. Participant characteristics (age, sex, race, ethnicity, severity of stroke, communication status, support system and urban/rural),
6. Intervention characteristics (transitional care component details, theory, comparator details, outcome results including adverse events, and time to follow up),
7. Facilitator characteristics (profession, expertise)
8. Risk of Bias,
will be extracted by one reviewer (GOC) into evidence tables using Rayyan systematic review screening software. The data abstraction will be reviewed by a second reviewer (FH) for accuracy. Disagreements will be resolved by consensus. All studies included will be critically appraised by two independent reviewers (GOC and FH) applying The Cochrane tool for assessing risk of bias version 2 (RoB 2) in randomised trials22. The RoB2 tool covers 5 Domains and risk of bias is categorised as “low risk of bias”, “some concerns” or “high risk of bias”. Disagreements will be resolved through discussions, and if necessary by consulting a third reviewer (RG). Studies will not be excluded based on risk of bias but we will include this assessment in rating the strength of evidence.
GRADE (Grading of Recommendations, Assessment, Development and Evaluations) provides an explicit framework for rating the quality of evidence in systematic reviews23. The overall certainty in the evidence, based on our confidence that the estimate of effects are correct, will be assessed for each outcome identified across studies using GRADE’s four categories (high, moderate, low, or very low)24.
Data will be extracted separately for the meta-analysis. For each study, data on the outcomes will be extracted post-intervention and at follow-up time points. For our primary outcome of functional status, data extraction will comprise mean and standard deviation values, across the intervention and control groups as well as the number in each group at baseline. Pooled mean differences (MD) and 95% confidence intervals (CI) will be calculated to determine treatment effect. Pooled risk ratios and 95% CI for dichotomous outcomes will be calculated. If the scale for each continuous outcome varies across the studies, we will calculate a standardised mean difference (SMD) and 95% CI based on end-of-study results. If studies report changed values and the baseline value is not available, we will use this data in meta-analyses but plan sensitivity analyses to investigate the effect of using these data. We will analyse the incidence of adverse events as dichotomous variables.
Meta-analysis will be performed using Review Manager 5 (RevMan5, Cochrane)25. We will determine heterogeneity using visual inspection of the forest plots and the I2 statistic. In the first instance, we will assume homogeneity across out studies and we will complete our meta-analysis using a fixed effects model and 95% CI. If the I2 reveals > 50%, which may be indicative of substantial clinical heterogeneity (different interventions) or methodological heterogeneity (variation in risk of bias across studies), then we will compute using a random effect model and 95% confidence intervals. For heterogeneity present after meta-analysis, subgroup analysis will be carried out for potential sources of heterogeneity26.
Where statistical pooling is not possible, the findings will be presented in table and narrative form.
• Missing outcome data
The extent of missing outcome data will be recorded on our risk of bias table.
Where the reporting of an outcome in a particular study is unclear, incomplete, or missing we will attempt to contact the study’s authors to obtain the data. If we are unsuccessful in obtaining the data, we will not include that study in the meta-analysis of that outcome.
If an included study has missing data (e.g. reports means but not standard deviations for follow-up data) we will attempt to contact the study’s authors to obtain the data. If we are unsuccessful, then we will take logical steps to enter an assumed value, by estimating a standard deviation based on a reported standard error, estimating a follow-up standard deviation based on a baseline value, using the median as a proxy for the mean, and using a multiple of 0.75 times the interquartile range or 0.25 times the range as a proxy for the standard deviation values27. We will undertake a sensitivity analysis to investigate the effect of entering assumed values.
• Sensitivity analysis
Selection bias: We will exclude studies with evidence of selection bias (bias in randomisation or allocation concealment processes)
Missing outcome data: we will re-analyse the data, excluding trials with inadequate or unclear methods of dealing with missing outcome data.
Quality/risk of bias: we will re-analyse the data, excluding trials deemed to be at high risk of bias.
Quasi-randomised trials: we will reanalyse to determine how data from studies with quasi-randomisation influence the treatment effect.
Cluster-randomised trials: we will reanalyse to determine how data from cluster-randomisation influence the treatment effect.
• Subgroup analyses
We will attempt to conduct sub-group analyses according to patient (e.g. age, gender) or trial characteristics (e.g. recruitment setting, duration of intervention, choice of comparison intervention, length of follow-up, presence of caregiver).
The ACTIVE framework28 and GRIPP2-SF29 will help describe and report PPI in the systematic review. Engaging PPI partners will ensure that the systematic review is relevant and meaningful to people affected by stroke, and to people using the review to inform health policy or practice. A “top-and-tail” approach29 will be used to involve the same group of people at the start (stages 1 to 3: framing the question and planning the review) and end (stages 10 to 12: interpretation, publication and dissemination of findings) of the review. A PPI Champion (Stroke survivor (MF)) will contribute as a core member of the review team, while an advisory network comprising stakeholders representing key groups in stroke (patients and their family members, carers, healthcare professionals, advocacy groups) will be formed. Recruitment to the advisory network will take place throughout the review, and different individuals will have varying levels of involvement, and at different stages.
The systematic review consists of reviewing and collecting data from publicly available materials, and therefore does not require ethics approval.
The systematic review constitutes the first step in a multi-phased research project aimed at improving and supporting transitions of care after stroke by understanding the long-term needs of stroke survivors; and by identifying the effectiveness of, and preferences, for supports provided at transitions of care.
The results from this systematic review will guide and be combined with data from later phases of the research, including an observational study and qualitative interviews and focus groups with stroke survivors and healthcare professionals, and a co-design process.
Ethics approval will be sought for these later stages of the research.
Upon completion, the findings of the systematic review will be published in a peer-reviewed open-source journal; presented at national and international conferences; and shared with researchers, clinicians, stroke survivors and families through organisations for people with stroke. We will provide recommendations for practice and research. PPI will engage in the development of the dissemination strategy, and assist in summarising the research is a clear and accessible format.
Given the challenges experienced by stroke survivors during the transition from acute stroke services to home, there is an urgent need to better understand what interventions are effective in supporting this transition. This systematic review will broadly and systematically explore the totality of evidence around support types provided at hospital to home transitions after stroke. Findings will be used to identify knowledge gaps to direct future research and provide a foundation for developing research priorities.
Zenodo PRISMA-P checklist for “Effectiveness of interventions to support the transition home after acute stroke: A protocol for a systematic review”. https://doi.org/10.5281/zenodo.514536230
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Sebastian Lindblom PhD: Neurorehabilitation, integrated care and care transitions
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Stroke, behavioral Recovery, Neurorehabilitation, Systematic Reviews.
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
---|---|---|
1 | 2 | |
Version 2 (revision) 11 Mar 22 |
||
Version 1 23 Sep 21 |
read | read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Register with HRB Open Research
Already registered? Sign in
Submission to HRB Open Research is open to all HRB grantholders or people working on a HRB-funded/co-funded grant on or since 1 January 2017. Sign up for information about developments, publishing and publications from HRB Open Research.
We'll keep you updated on any major new updates to HRB Open Research
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)