Implementation interventions to promote the uptake of evidence-based practices in stroke rehabilitation (Review)

Background Rehabilitation based upon research evidence gives stroke survivors the best chance of recovery. There is substantial research to guide practice in stroke rehabilitation, yet uptake of evidence by healthcare professionals is typically slow and patients often do not receive evidence‐based care. Implementation interventions are an important means to translate knowledge from research to practice and thus optimise the care and outcomes for stroke survivors. A synthesis of research evidence is required to guide the selection and use of implementation interventions in stroke rehabilitation. Objectives To assess the effects of implementation interventions to promote the uptake of evidence‐based practices (including clinical assessments and treatments recommended in evidence‐based guidelines) in stroke rehabilitation and to assess the effects of implementation interventions tailored to address identified barriers to change compared to non‐tailored interventions in stroke rehabilitation. Search methods We searched CENTRAL, MEDLINE, Embase, and eight other databases to 17 October 2019. We searched OpenGrey, performed citation tracking and reference checking for included studies and contacted authors of included studies to obtain further information and identify potentially relevant studies. Selection criteria We included individual and cluster randomised trials, non‐randomised trials, interrupted time series studies and controlled before‐after studies comparing an implementation intervention to no intervention or to another implementation approach in stroke rehabilitation. Participants were qualified healthcare professionals working in stroke rehabilitation and the patients they cared for. Studies were considered for inclusion regardless of date, language or publication status. Main outcomes were healthcare professional adherence to recommended treatment, patient adherence to recommended treatment, patient health status and well‐being, healthcare professional intention and satisfaction, resource use outcomes and adverse effects. Data collection and analysis Two review authors independently selected studies for inclusion, extracted data, and assessed risk of bias and certainty of evidence using GRADE. The primary comparison was any implementation intervention compared to no intervention. Main results Nine cluster randomised trials (12,428 patient participants) and three ongoing trials met our selection criteria. Five trials (8865 participants) compared an implementation intervention to no intervention, three trials (3150 participants) compared one implementation intervention to another implementation intervention, and one three‐arm trial (413 participants) compared two different implementation interventions to no intervention. Eight trials investigated multifaceted interventions; educational meetings and educational materials were the most common components. Six trials described tailoring the intervention content to identified barriers to change. Two trials focused on evidence‐based stroke rehabilitation in the acute setting, four focused on the subacute inpatient setting and three trials focused on stroke rehabilitation in the community setting. We are uncertain if implementation interventions improve healthcare professional adherence to evidence‐based practice in stroke rehabilitation compared with no intervention as the certainty of the evidence was very low (risk ratio (RR) 1.19, 95% confidence interval (CI) 0.53 to 2.64; 2 trials, 39 clusters, 1455 patient participants; I2 = 0%). Low‐certainty evidence indicates implementation interventions in stroke rehabilitation may lead to little or no difference in patient adherence to recommended treatment (number of recommended performed outdoor journeys adjusted mean difference (MD) 0.5, 95% CI –1.8 to 2.8; 1 trial, 21 clusters, 100 participants) and patient psychological well‐being (standardised mean difference (SMD) –0.02, 95% CI –0.54 to 0.50; 2 trials, 65 clusters, 1273 participants; I2 = 0%) compared with no intervention. Moderate‐certainty evidence indicates implementation interventions in stroke rehabilitation probably lead to little or no difference in patient health‐related quality of life (MD 0.01, 95% CI –0.02 to 0.05; 2 trials, 65 clusters, 1242 participants; I2 = 0%) and activities of daily living (MD 0.29, 95% CI –0.16 to 0.73; 2 trials, 65 clusters, 1272 participants; I2 = 0%) compared with no intervention. No studies reported the effects of implementation interventions in stroke rehabilitation on healthcare professional intention to change behaviour or satisfaction. Five studies reported economic outcomes, with one study reporting cost‐effectiveness of the implementation intervention. However, this was assessed at high risk of bias. The other four studies did not demonstrate the cost‐effectiveness of interventions. Tailoring interventions to identified barriers did not alter results. We are uncertain of the effect of one implementation intervention versus another given the limited very low‐certainty evidence. Authors' conclusions We are uncertain if implementation interventions improve healthcare professional adherence to evidence‐based practice in stroke rehabilitation compared with no intervention as the certainty of the evidence is very low

Measuring the health-related Sustainable Development Goals in 188 countries : a baseline analysis from the Global Burden of Disease Study 2015

Background In September, 2015, the UN General Assembly established the Sustainable Development Goals (SDGs). The SDGs specify 17 universal goals, 169 targets, and 230 indicators leading up to 2030. We provide an analysis of 33 health-related SDG indicators based on the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015). Methods We applied statistical methods to systematically compiled data to estimate the performance of 33 health-related SDG indicators for 188 countries from 1990 to 2015. We rescaled each indicator on a scale from 0 (worst observed value between 1990 and 2015) to 100 (best observed). Indices representing all 33 health-related SDG indicators (health-related SDG index), health-related SDG indicators included in the Millennium Development Goals (MDG index), and health-related indicators not included in the MDGs (non-MDG index) were computed as the geometric mean of the rescaled indicators by SDG target. We used spline regressions to examine the relations between the Socio-demographic Index (SDI, a summary measure based on average income per person, educational attainment, and total fertility rate) and each of the health-related SDG indicators and indices. Findings In 2015, the median health-related SDG index was 59.3 (95% uncertainty interval 56.8-61.8) and varied widely by country, ranging from 85.5 (84.2-86.5) in Iceland to 20.4 (15.4-24.9) in Central African Republic. SDI was a good predictor of the health-related SDG index (r(2) = 0.88) and the MDG index (r(2) = 0.2), whereas the non-MDG index had a weaker relation with SDI (r(2) = 0.79). Between 2000 and 2015, the health-related SDG index improved by a median of 7.9 (IQR 5.0-10.4), and gains on the MDG index (a median change of 10.0 [6.7-13.1]) exceeded that of the non-MDG index (a median change of 5.5 [2.1-8.9]). Since 2000, pronounced progress occurred for indicators such as met need with modern contraception, under-5 mortality, and neonatal mortality, as well as the indicator for universal health coverage tracer interventions. Moderate improvements were found for indicators such as HIV and tuberculosis incidence, minimal changes for hepatitis B incidence took place, and childhood overweight considerably worsened. Interpretation GBD provides an independent, comparable avenue for monitoring progress towards the health-related SDGs. Our analysis not only highlights the importance of income, education, and fertility as drivers of health improvement but also emphasises that investments in these areas alone will not be sufficient. Although considerable progress on the health-related MDG indicators has been made, these gains will need to be sustained and, in many cases, accelerated to achieve the ambitious SDG targets. The minimal improvement in or worsening of health-related indicators beyond the MDGs highlight the need for additional resources to effectively address the expanded scope of the health-related SDGs.Peer reviewe

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015

Forouzanfar MH, Afshin A, Alexander LT, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. LANCET. 2016;388(10053):1659-1724.Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors-the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57.8% (95% CI 56.6-58.8) of global deaths and 41.2% (39.8-42.8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211.8 million [192.7 million to 231.1 million] global DALYs), smoking (148.6 million [134.2 million to 163.1 million]), high fasting plasma glucose (143.1 million [125.1 million to 163.5 million]), high BMI (120.1 million [83.8 million to 158.4 million]), childhood undernutrition (113.3 million [103.9 million to 123.4 million]), ambient particulate matter (103.1 million [90.8 million to 115.1 million]), high total cholesterol (88.7 million [74.6 million to 105.7 million]), household air pollution (85.6 million [66.7 million to 106.1 million]), alcohol use (85.0 million [77.2 million to 93.0 million]), and diets high in sodium (83.0 million [49.3 million to 127.5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Copyright (C) The Author(s). Published by Elsevier Ltd

Implementation interventions to promote the uptake of evidence-based practices in stroke rehabilitation

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: The primary objective of this Cochrane Review is to assess the effects of implementation interventions to promote the uptake of evidence‐based practices (including clinical assessments and treatments recommended in evidence‐based guidelines) in stroke rehabilitation. A secondary objective is to assess the effects of implementation interventions that are tailored towards identified barriers to change compared to non‐tailored interventions in stroke rehabilitation

Cognitive strategy training for adults with neurological conditions: a systematic review and meta-analysis exploring effect on occupational performance

Introduction: The objective of this systematic review was to synthesise the evidence for cognitive strategy training to determine its effectiveness to improve performance of activities of daily living in an adult neurological population. Method: Medline, CINAHL, EMBASE, PSYCInfo, PsycBITE and Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews were searched until August 2019. Studies examining the effect of cognitive strategy training on functional performance were included. Population criteria included adults with non-progressive neurological conditions. External and internal validity of included studies was systematically evaluated using an appropriate methodological quality assessment for each study design. A content analysis was conducted of the methodologies used. Findings: Forty-one studies met the inclusion criteria and were appraised for content, 16 randomised or quasi-randomised trials were meta-analysed. Trial quality was generally ‘good’, Physiotherapy Evidence Database scale scores ranged from 3 to 8 (out of 10). For activity performance outcomes post-intervention, there was a significant benefit of cognitive strategy training over usual care (standardised mean difference 0.79, 95% confidence interval 0.49–1.09; P < 0.00001). Conclusion: More high-quality research is needed to strengthen the evidence base for cognitive strategy interventions to improve activity performance outcomes for adults with non-progressive neurological conditions. Systematic review registration: PROSPERO CRD4201603372

What is “usual care” in the rehabilitation of upper limb sensory loss after stroke? Results from a national audit and knowledge translation study

Purpose To characterise the assessments and treatments that comprise “usual care” for stroke patients with somatosensory loss, and whether usual care has changed over time. Materials and methods Comparison of cross-sectional, observational data from (1) Stroke Foundation National Audit of Acute (2007–2019) and Rehabilitation (2010–2018) Stroke Services and (2) the SENSe Implement multi-site knowledge translation study with occupational therapists and physiotherapists (n = 115). Descriptive statistics, random effects logistic regression, and content analysis were used. Results Acute hospitals (n = 172) contributed 24 996 cases across audits from 2007 to 2019 (median patient age 76 years, 54% male). Rehabilitation services (n = 134) contributed organisational survey data from 2010 to 2014, with 7165 cases (median 76 years, 55% male) across 2016–2018 clinical audits (n = 127 services). Somatoensory assessment protocol use increased from 53% (2007) to 86% (2019) (odds ratio 11.4, 95% CI 5.0–25.6). Reported use of sensory-specific retraining remained stable over time (90–93%). Therapist practice reports for n = 86 patients with somatosensory loss revealed 16% did not receive somatosensory rehabilitation. The most common treatment approaches were sensory rehabilitation using everyday activities (69%), sensory re-education (68%), and compensatory strategies (64%). Conclusion Sensory assessment protocol use has increased over time while sensory-specific training has remained stable. Sensory rehabilitation in the context of everyday activities is a common treatment approach. Clinical trial registration number: ACTRN12615000933550 IMPLICATIONS FOR REHABILITATION • Only a small proportion of upper limb assessments conducted with stroke patients focus specifically on sensation; increased use of standardised upper limb assessments for sensory loss is needed. • Stroke patients assessed as having upper limb sensory loss frequently do not receive treatment for their deficits. • Therapists typically use everyday activities to treat upper limb sensory loss and may require upskilling in sensory-specific retraining to benefit patients

Effectiveness of health consumer representative involvement in implementation of interventions to change health professional behaviour

Background The adoption of research evidence to improve client outcomes may be enhanced using the principles of implementation science. This systematic review aimed to understand the effect of involving consumers to change health professional behaviours and practices. The barriers and enablers to consumer engagement will also be examined. Methods We searched Medline, CINAHL, Embase, the Cochrane Central Register of Controlled Trials and PDQ-Evidence from 2004 to February 2019. Implementation studies involving consumers in at least one phase (development, intervention or facilitation) of an intervention that aimed to change health professional behaviour to align with evidence-based practice were included. Studies in the areas of paediatrics and primary care were excluded. Two review authors independently screened studies for inclusion, and one author extracted data and conducted quality assessments with review of a second author. Knowledge translation interventions were categorized using the Effective Practice and Organisation of Care taxonomy. The primary outcome was measures of change in health professional behaviour. Results Sixteen articles met the inclusion criteria. Meta-analysis of three studies found support for consumer involvement in changing healthcare professionals’ behaviour (Hedges’ g = 0.41, 95% CI [0.27, 0.57], P < 0.001). Most knowledge translation studies involved consumers during the development phase only (n = 12). Most studies (n = 9) included one type of knowledge translation intervention. Professional interventions (including education of health professionals, educational outreach, and audit and feedback) were described in 13 studies. Conclusions Consumer involvement rarely moves beyond the design phase of knowledge translation research in healthcare settings. Further research of the barriers to and effect of increased consumer engagement across all stages of knowledge translation interventions is needed