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Background: Health Service implementation projects are often guided by theoretical implementation frameworks. Little is known about the effectiveness of these frameworks to facilitate change in processes of care and patient outcomes within the inpatient setting. The aim of this review was to assess the effectiveness of the application of theoretical implementation frameworks in inpatient healthcare settings to change processes of care and associated patient outcomes. Method: We conducted a search in CINAHL, MEDLINE, EMBASE, PsycINFO, EMCARE and Cochrane Library databases from 1st January 1995 to 15th June 2021. Two reviewers independently applied inclusion and exclusion criteria to potentially eligible studies. Eligible studies: implemented evidence-based care into an in-patient setting using a theoretical implementation framework applied prospectively; used a prospective study design; presented process of care or patient outcomes; and were published in English. We extracted theoretical implementation frameworks and study design against the Workgroup for Intervention Development and Evaluation Research (WIDER) Checklist and implementation strategies mapped to the Cochrane Effective Practice and Organisation of Care (EPOC) taxonomy. We summarised all interventions using the Template for Intervention Description and Replication (TIDieR) checklist. We appraised study quality using the Item bank on risk of bias and precision of observational studies and the revised Cochrane risk of bias tool for cluster randomised trials. We extracted process of care and patient outcomes and described descriptively. We conducted meta-analysis for process of care and patient outcomes with reference to framework category. Results: Twenty-five studies met the inclusion criteria. Twenty-one used a pre-post (no comparison), two a pre-post with a comparison, and two a cluster randomised trial design. Eleven theoretical implementation frameworks were prospectively applied: six process models; five determinant frameworks; and one classic theory. Four studies used two theoretical implementation frameworks. No authors reported their justification for selecting a particular framework and implementation strategies were generally poorly described. No consensus was reached for a preferred framework or subset of frameworks based on meta-analysis results. Conclusions: Rather than the ongoing development of new implementation frameworks, a more consistent approach to framework selection and strengthening of existing approaches is recommended to further develop the implementation evidence base. Trial registration: CRD42019119429. [ABSTRACT FROM AUTHOR]

Background: Establishing a stroke unit (SU) in every hospital may be infeasible because of limited resources. In Australia, it is recommended that hospitals that admit ≥100 strokes per year should have a SU. We aimed to describe differences in processes of care and outcomes among hospitals with and without SUs admitting at least 100 patients/year.Methods: National stroke audit data of 40 consecutive patients per hospital admitted between 1/7/2010-31/12/2010 and organizational survey for annual admissions were used. Descriptive analyses and multilevel regression were used to compare patient outcomes. Sensitivity analysis including only hospitals meeting all of the Australian SU criteria (e.g., co-location of beds; inter-professional team; weekly meetings; regular training) was performed.Results: Two thousand eight hundred ninety-eight patients from 72/108 eligible hospitals completing the audit (SU = 60; patients: 2,481 [mean age 76 years; 55% male] and non-SU patients: 417 [mean age 77; 53% male]). Hospitals with SUs had greater adherence to recommended care processes than non-SU hospitals. Patients treated in a SU hospital had fewer new strokes while in hospital (OR: 0.20; 95% CI 0.06, 0.61) and there was a borderline reduction in the odds of dying in hospital compared to patients in non-SU hospitals (OR 0.57 95%CI 0.33, 1.00). Among SU hospitals meeting all SU criteria (n = 59; 91%) the adjusted odds of having a poor outcome was further reduced compared with patients attending non-SU hospitals.Conclusion: Hospitals annually admitting ≥100 patients with acute stroke should be prioritized for establishment of a SU that meet all recommended criteria to ensure better outcomes. [ABSTRACT FROM AUTHOR]

Background Since 2007, the Australian Know your numbers (KYN) program has been used in community settings to raise awareness about blood pressure and stroke. In 2011, the program was modified to include assessment for type 2 diabetes risk. However, it is unclear which approach for assessing diabetes risk in pharmacies is best. We compared two methods: random(non-fasting) blood glucose testing (RBGT); and the Australian type 2 diabetes risk assessment tool (AUSDRISK); according to 1) identification of 'high risk' participants including head-to-head sensitivity and specificity; 2) number of referrals to doctors; 3) feasibility of implementation. Methods 117 Queensland pharmacies voluntarily participated and were randomly allocated to RBGT and AUSDRISK or AUSDRISK only. Although discouraged, pharmacies were able to change allocated group prior to commencement. AUSDRISK is a validated self-administered questionnaire used to calculate a score that determines the 5-year risk of developing type 2 diabetes. AUSDRISK (score 12+) or RBGT (=5.6 mmol/I) indicates a high potential risk of diabetes. Median linear regression was used to compare the two measures. Staff from 68 pharmacies also participated in a semi-structured interview during a site visit to provide feedback. Results Data were submitted for 5,483 KYN participants (60% female, 66% aged >55 years, 10% history of diabetes). Approximately half of the participants without existing diabetes were identified as 'high risk' based on either RBGT or AUSDRISK score. Among participants who undertook both measures, 32% recorded a high RBGT and high AUSDRISK. There was a significant association between RBGT and AUSDRISK scores. For every one point increase in AUSDRISK score there was a half point increase in RBGT levels (coefficient 0.55, 95% CI: 0.28, 0.83). Pharmacy staff reported that AUSDRISK was a simple, low cost and efficient method of assessing diabetes risk compared with RBGT, e.g. where management of sharps is not an issue. Conclusions In a large, community-based sample of Australians about half of the participants without diabetes were at 'high risk 'of developing diabetes based on either AUSDRISK or RBGT results. AUSDRISK was considered to be an acceptable method for assessing the risk of diabetes using opportunistic health checks in community pharmacies. [ABSTRACT FROM AUTHOR]

Background: Organizational context is one factor influencing the translation of evidence into practice, but data pertaining to patients with acute stroke are limited. We aimed to determine the associations of organizational context in relation to four important evidence-based stroke care processes.Methods: This was a mixed methods cross-sectional study. Among 19 hospitals in Queensland, Australia, a survey was conducted of the perceptions of stroke clinicians about their work using the Alberta Context Tool (ACT), a validated measure covering 10 concepts of organizational context, and with additional stroke-specific contextual questions. These data were linked to the Australian Stroke Clinical Registry (AuSCR) to determine the relationship with receipt of evidence-based acute stroke care (acute stroke unit admission, use of thrombolysis for those with acute ischemic stroke, receipt of a written care plan on discharge, and prescription of antihypertensive medications on discharge) using quantile regression. Exploratory cluster analysis was used to categorize hospitals into high and low context groups based on all of the 10 ACT concepts. Differences in adherence to care processes between the two groups were examined.Results: A total of 215 clinicians completed the survey (50% nurses, 37% allied health staff, 10% medical practitioners), with 81% being in their current role for at least 1 year. There was good reliability (∞ 0.83) within the cohort to allow pooling of professional groups. Greater ACT scores, especially for social capital (μ 9.00, 95% confidence interval [CI] 4.86 to 13.14) and culture (μ 7.33, 95% CI 2.05 to 12.62), were associated with more patients receiving stroke unit care. There was no correlation between ACT concepts and other care processes. Working within higher compared to lower context environments was associated with greater proportions of patients receiving stroke unit care (88.5% vs. 69.0%) and being prescribed antihypertensive medication at discharge (62.5% vs. 52.0%). Staff from higher context hospitals were more likely to value medical and/or nursing leadership and stroke care protocols.Conclusions: Overall organizational context, and in particular aspects of culture and social capital, are associated with the delivery of some components of evidence-based stroke care, offering insights into potential pathways for improving the implementation of proven therapies. [ABSTRACT FROM AUTHOR]

Background: Electronic communication is used in various populations to achieve health goals, but evidence in stroke is lacking. We pilot tested the feasibility and potential effectiveness of a novel personalised electronic self-management intervention to support person-centred goal attainment and secondary prevention after stroke., Methods: A phase I, prospective, randomised controlled pilot trial (1:1 allocation) with assessor blinding, intention-to-treat analysis, and a process evaluation. Community-based survivors of stroke were recruited from participants in the Australian Stroke Clinical Registry (AuSCR) who had indicated their willingness to be contacted for research studies. Inclusion criteria include 1-2 years following hospital admission for stroke and living within 50 km of Monash University (Melbourne). Person-centred goals were set with facilitation by a clinician using a standardised template. The intervention group received electronic support messages aligned to their goals over 4 weeks. The control group received only 2-3 electronic administrative messages. Primary outcomes were study retention, goal attainment (assessed using Goal Attainment Scaling method) and satisfaction. Secondary outcomes were self-management (Health Education Impact Questionnaire: 8 domains), quality of life, mood and acceptability., Results: Of 340 invitations sent from AuSCR, 73 responded, 68 were eligible and 57 (84%) completed the baseline assessment. At the goal-setting stage, 54/68 (79%) were randomised (median 16 months after stroke): 25 to intervention (median age 69 years; 40% female) and 29 to control (median age 68 years; 38% female). Forty-five (83%) participants completed the outcome follow-up assessment. At follow-up, goal attainment (mean GAS-T score ≥ 50) in the intervention group was achieved for goals related to function, participation and environment (control: environment only). Most intervention participants provided positive feedback and reported that the iVERVE messages were easy to understand (92%) and assisted them in achieving their goals (77%). We found preliminary evidence of non-significant improvements between the groups for most self-management domains (e.g. social integration and support: β coefficient 0.34; 95% CI - 0.14 to 0.83) and several quality-of-life domains in favour of the intervention group., Conclusion: These findings support the need for further randomised effectiveness trials of the iVERVE program to be tested in people with new stroke., Trial Registration: ANZCTR, ACTRN12618001519246 . Registered on 11 September 2018-retrospectively registered.