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Project ACHIEVE - using implementation research to guide the evaluation of transitional care effectiveness.

ABSTRACT: Poorly managed hospital discharges and care transitions between health care facilities can cause poor outcomes for both patients and their caregivers. Unfortunately, the usual approach to health care delivery does not support continuity and coordination across the settings of hospital, doctors' offices, home or nursing homes. Though complex efforts with multiple components can improve patient outcomes and reduce 30-day readmissions, research has not identified which components are necessary. Also we do not know how delivery of core components may need to be adjusted based on patient, caregiver, setting or characteristics of the community, or how system redesign can be accelerated.Project ACHIEVE focuses on diverse Medicare populations such as individuals with multiple chronic diseases, patients with low health literacy/numeracy and limited English proficiency, racial and ethnic minority groups, low-income groups, residents of rural areas, and individuals with disabilities. During the first phase, we will use focus groups to identify the transitional care outcomes and components that matter most to patients and caregivers to inform development and validation of assessment instruments. During the second phase, we will evaluate the comparative effectiveness of multi-component care transitions programs occurring across the U.S. Using a mixed-methods approach for this evaluation, we will study historical (retrospective) and current and future (prospective) groups of patients, caregivers and providers using site visits, surveys, and clinical and claims data. In this natural experiment observational study, we use a fractional factorial study design to specify comparators and estimate the individual and combined effects of key transitional care components.Our study will determine which evidence-based transitional care components and/or clusters most effectively produce patient and caregiver desired outcomes overall and among diverse patient and caregiver populations in different healthcare settings. Using the results, we will develop concrete, actionable recommendations regarding how best to implement these strategies. Finally, this work will provide tools for hospitals, community-based organizations, patients, caregivers, clinicians and other stakeholders to help them make informed decisions about which strategies are most effective and how best to implement them in their communities.Registered as NCT02354482 on clinicaltrials.gov on 1/29/2015.

SUBMITTER: Li J

PROVIDER: S-EPMC4759940 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

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Project description:IntroductionAmid the rising number of people with non-communicable diseases (NCDs), Kenya has invested in strengthening primary care and in efforts to expand existing service delivery platforms to integrate NCD care. One such approach is the AMPATH (Academic Model Providing Access to Healthcare) model in western Kenya, which provides the platform for the Primary Health Integrated Care Project for Chronic Conditions (PIC4C), launched in 2018 to further strengthen primary care services for the prevention and control of hypertension, diabetes, breast and cervical cancer. This study seeks to understand how well PIC4C delivers on its intended aims and to inform and support scale up of the PIC4C model for integrated care for people with NCDs in Kenya.Methods and analysisThe study is guided by a conceptual framework on implementing, sustaining and spreading innovation in health service delivery. We use a multimethod design combining qualitative and quantitative approaches, involving: (1) in-depth interviews with health workers and decision-makers to explore experiences of delivering PIC4C; (2) a cross-sectional survey of patients with diabetes or hypertension and in-depth interviews to understand how well PIC4C meets patients' needs; (3) a cohort study with an interrupted time series analysis to evaluate the degree to which PIC4C leads to health benefits such as improved management of hypertension or diabetes; and (4) a cohort study of households to examine the extent to which the national hospital insurance chronic care package provides financial risk protection to people with hypertension or diabetes within PIC4C.Ethics and disseminationThe study has received approvals from Moi University Institutional Research and Ethics Committee (FAN:0003586) and the London School of Hygiene & Tropical Medicine (17940). Workshops with key stakeholders at local, county, national and international levels will ensure early and wide dissemination of our findings to inform scale up of this model of care. We will also publish findings in peer-reviewed journals.

Project description:BackgroundAs health systems transition to value-based care, improving transitional care (TC) remains a priority. Hospitals implementing evidence-based TC models often adapt them to local contexts. However, limited research has evaluated which groups of TC strategies, or transitional care activities, commonly implemented by hospitals correspond with improved patient outcomes. In order to identify TC strategy groups for evaluation, we applied a data-driven approach informed by literature review and expert opinion.MethodsBased on a review of evidence-based TC models and the literature, focus groups with patients and family caregivers identifying what matters most to them during care transitions, and expert review, the Project ACHIEVE team identified 22 TC strategies to evaluate. Patient exposure to TC strategies was measured through a hospital survey (N = 42) and prospective survey of patients discharged from those hospitals (N = 8080). To define groups of TC strategies for evaluation, we performed a multistep process including: using ACHIEVE'S prior retrospective analysis; performing exploratory factor analysis, latent class analysis, and finite mixture model analysis on hospital and patient survey data; and confirming results through expert review. Machine learning (e.g., random forest) was performed using patient claims data to explore the predictive influence of individual strategies, strategy groups, and key covariates on 30-day hospital readmissions.ResultsThe methodological approach identified five groups of TC strategies that were commonly delivered as a bundle by hospitals: 1) Patient Communication and Care Management, 2) Hospital-Based Trust, Plain Language, and Coordination, 3) Home-Based Trust, Plain language, and Coordination, 4) Patient/Family Caregiver Assessment and Information Exchange Among Providers, and 5) Assessment and Teach Back. Each TC strategy group comprises three to six, non-mutually exclusive TC strategies (i.e., some strategies are in multiple TC strategy groups). Results from random forest analyses revealed that TC strategies patients reported receiving were more important in predicting readmissions than TC strategies that hospitals reported delivering, and that other key co-variates, such as patient comorbidities, were the most important variables.ConclusionSophisticated statistical tools can help identify underlying patterns of hospitals' TC efforts. Using such tools, this study identified five groups of TC strategies that have potential to improve patient outcomes.

Project description:IntroductionThe need for quantitative criteria to appraise the quality of implementation research has recently been highlighted to improve methodological rigour. The Implementation Science Research development (ImpRes) tool and supplementary guide provide methodological guidance and recommendations on how to design high-quality implementation research. This protocol reports on the development of the Implementation Science Research Project Appraisal Criteria (ImpResPAC) tool, a quantitative appraisal tool, developed based on the structure and content of the ImpRes tool and supplementary guide, to evaluate the conceptual and methodological quality of implementation research.Methods and analysisThis study employs a three-stage sequential mixed-methods design. During stage 1, the research team will map core domains of the ImpRes tool, guidance and recommendations contained in the supplementary guide and within the literature, to ImpResPAC. In stage 2, an international multidisciplinary expert group, recruited through purposive sampling, will inform the refinement of ImpResPAC, including content, scoring system and user instructions. In stage 3, an extensive psychometric evaluation of ImpResPAC, that was created in stage 1 and refined in stage 2, will be conducted. The scaling assumptions (inter-item and item-total correlations), reliability (internal consistency, inter-rater) and validity (construct and convergent validity) will be investigated by applying ImpResPAC to 50 protocols published in Implementation Science. We envisage developing ImpResPAC in this way will provide implementation research stakeholders, primarily grant reviewers and educators, a comprehensive, transparent and fair appraisal of the conceptual and methodological quality of implementation research, increasing the likelihood of funding research that will generate knowledge and contribute to the advancement of the field.Ethics and disseminationThis study will involve human participants. This study has been registered and minimal risk ethical clearance granted by The Research Ethics Office, King's College London (reference number MRA-20/21-20807). Participants will receive written information on the study via email and will provide e-consent if they wish to participate. We will use traditional academic modalities of dissemination (eg, conferences and publications).

Project description:INTRODUCTION:Novel and efficient healthcare approaches are needed to better serve increasingly older chronic disease patients. Many effective integrated chronic disease management strategies have emerged from the primary care sector. However, in many Asian and developing countries, primary care is underdeveloped, and patients prefer secondary-based services. The Integrated Generalist-led Hospital (IGH) care model is a new approach, which may be better suited for chronic disease patients in the local context. METHODS AND ANALYSIS:A hybrid type I study on the effectiveness and implementation of the IGH care model will be conducted. Implementation evaluation will be informed by the Consolidated Framework of Implementation Research (CFIR). Quantitative and qualitative data will be collected through in-depth interviews and focus group discussions with staff, a staff survey, patient interviews, clinical outcomes and cost data. Clinical outcomes include the length of stay, readmission, emergency room visit rate and mortality. Clinical outcomes will be summarised and compared with a propensity-matched 'usual care' group (derived from the general medicine ward(s) at a separate hospital). The Kaplan-Meier approach will be used to estimate time until death and time until first readmission (both within 30?days of discharge) and time until discharge. Multivariate regression models will be used to investigate the association between the care model and occurrence of readmission, emergency room visit and death, all within 30?days of discharge. Qualitative data will be analysed using a thematic analysis method. Qualitative and quantitative data will also be coded according to the five domains of the CFIR. ETHICS AND DISSEMINATION:This protocol was reviewed and approved by the National Healthcare Group Domain Specific Review Board (NHG DSRB 2019/00308). Results will be published in peer-reviewed scientific journals and conference presentations. Findings will also be discussed with key stakeholders through local dissemination events.

Project description:The importance of providing evidence-based palliative care for people with dementia is increasingly acknowledged as important for patient outcomes. In Ireland, evidence-based guidance has been developed in order to address key features of dementia palliative care, including the management of pain, medications and hydration and nutrition. The aim of this study was to identify and explore the factors affecting the implementation of evidence-based guidance on dementia palliative care. The Consolidated Framework for Implementation (CFIR) guided a mixed-method pre-post study. One guidance document pertaining to the management of pain, medication or hydration and nutrition was implemented in three long-term care facilities. Participatory action research in the form of work-based learning groups was used to implement the guidance, drawing on a situational analysis (pre-implementation). Staff questionnaires and audits were conducted pre- and post-implementation while champion interviews were also conducted post-implementation. Features of the guidance, the inner setting components such as readiness to change, and the process of implementation were most frequently identified as impacting implementation. Components of the outer setting, such as external policy incentives and individual characteristics, featured less commonly. Data from qualitative interviews revealed that the guidance was perceived as advantageous or complimentary to previous care provided. Within the inner setting, leadership and support from other colleagues facilitated implementation. However, limited availability of other healthcare professionals to assist with carrying out guidance actions presented a barrier in some facilities. The external facilitators of the work-based learning groups (WBLGs) were perceived as experienced and encouraged active participation and reflection on practices. Despite the challenge of releasing staff to attend the WBLGs, quantitative data demonstrated reduced staff de-motivation amongst those who did attend was noted post-implementation (pre-Mdn = 19.50 versus post-Mdn = 22.00, U = 497.00, p = 0.07). A situational analysis informed by the CFIR framework in conjunction with a participatory action research approach helped to advance the implementation of the guidance. The progress of implementation depended on the extent to which evidence-based care was previously being implemented at each site. Post-implementation analysis using CFIR identified challenges to address in future projects such as staff cover and timing of training to facilitate attendance for staff with different working hours. Facilitators included multidisciplinary engagement with the intervention and champions at each site to support the implementation process.

Project description:OBJECTIVE:Prior meta-analysis indicates that collaborative chronic care models (CCMs) improve mental and physical health outcomes for individuals with mental disorders. This study aimed to investigate the stability of evidence over time and identify patient and intervention factors associated with CCM effects to facilitate implementation and sustainability of CCMs in clinical practice. METHODS:We reviewed 53 CCM trials that analyzed depression, mental quality of life (QOL), or physical QOL outcomes. Cumulative meta-analysis and metaregression were supplemented by descriptive investigations across and within trials. RESULTS:Most trials targeted depression in the primary care setting, and cumulative meta-analysis indicated that effect sizes favoring CCM quickly achieved significance for depression outcomes, and more recently achieved significance for mental and physical QOL. Four of 6 CCM elements (patient self-management support, clinical information systems, system redesign, and provider decision support) were common among reviewed trials, whereas 2 elements (health care organization support and linkages to community resources) were rare. No single CCM element was statistically associated with the success of the model. Similarly, metaregression did not identify specific factors associated with CCM effectiveness. Nonetheless, results within individual trials suggest that increased illness severity predicts CCM outcomes. CONCLUSIONS:Significant CCM trials have been derived primarily from 4 original CCM elements. Nonetheless, implementing and sustaining this established model will require health care organization support. Although CCMs have typically been tested as population-based interventions, evidence supports stepped care application to more severely ill individuals. Future priorities include developing implementation strategies to support adoption and sustainability of the model in clinical settings while maximizing fit of this multicomponent framework to local contextual factors.

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Project ACHIEVE - using implementation research to guide the evaluation of transitional care effectiveness.

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