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1.
BMJ Open Qual ; 10(2)2021 04.
Article in English | MEDLINE | ID: mdl-33846124

ABSTRACT

BACKGROUND: Antipsychotic medications are used to address neuropsychiatric symptoms associated with dementia. Evidence suggests that among older adults with dementia, their harms outweigh their benefits. A quality improvement initiative was conducted to address inappropriate antipsychotic medication use in long-term care (LTC) in the province of Alberta. METHODS: We conducted a multimethod evaluation of the provincial implementation of the project in 170 LTC sites over a 3-year project period incorporating a quasi-experimental before-after design. Using a three-component intervention of education and audit and feedback delivered in a learning workshop innovation collaborative format, local LTC teams were supported to reduce the number of residents receiving antipsychotic medications in the absence of a documented indication. Project resources were preferentially allocated to supporting sites with the highest baseline antipsychotic medication use. Changes in antipsychotic medication use, associated clinical and economic outcomes, and the effects of the project on LTC staff, physicians, leaders and administrators, and family members of LTC residents were assessed at the conclusion of the implementation phase. RESULTS: The province-wide initiative was delivered with a 75% implementation fidelity. Inappropriate antipsychotic medication use declined from 26.8% to 21.1%. The decrease was achieved without unintended consequences in other outcomes including physical restraint use or aggressive behaviours. The project was more expensive but resulted in less inappropriate use of antipsychotics than the pre-project period (incremental cost per inappropriate antipsychotic avoided of $5 678.71). Accounts from family, organisational leaders, and LTC staff were supportive of the project activities and outcomes. CONCLUSION: This quality improvement initiative was successfully delivered across an entire delivery arm of the continuing care sector. Quality of care in LTC was improved.


Subject(s)
Antipsychotic Agents , Dementia , Aged , Antipsychotic Agents/therapeutic use , Dementia/drug therapy , Humans , Long-Term Care , Nursing Homes , Quality Improvement
2.
SAGE Open Med ; 5: 2050312117704861, 2017.
Article in English | MEDLINE | ID: mdl-28491310

ABSTRACT

BACKGROUND: Healthcare providers, managers and policy-makers in many jurisdictions are focused on a common goal: optimizing value and quality of care provided to their citizens within a resource envelope. Health technology reassessment is a structured, evidence-based assessment of the clinical, social, ethical and economic effects of a technology currently used in the healthcare system to inform optimal use of that technology in comparison with its alternatives. There are, however, few practical experiences with health technology reassessment and, as such, a nascent theoretical and methodological base. Health technology reassessment is a key strategy to achieve optimal healthcare resource utilization, and establishing a model for health technology reassessment is a required methodological step. METHODS AND RESULTS: The purpose of this article is to answer three formative questions: (1) What is health technology reassessment? (2) When should a health technology reassessment be implemented? (3) What is the role of health technology reassessment in evidence-informed health policy? Finally, we propose a conceptual framework for health technology reassessment, which others can modify, adapt, or adopt in their own context. The model consists of three broad phases and six iterative stages: (1) identification, (2) prioritization, (3) evidence synthesis, (4) determine policy/practice recommendation, (5) policy/practice implementation and (6) monitoring and evaluation. Two foundational components (meaningful stakeholder engagement and ongoing knowledge exchange and utilization) are represented across all stages. CONCLUSION: This description of health technology reassessment and the proposed model can be used by healthcare policy-makers and researchers to advance the field of technology management, with the goal of achieving optimal use throughout a technology's lifecycle.

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