From: Research impact of systems-level long-term care research: a multiple case study
Background | Objectives | Methods | Timelines | Anticipated outcomes | |
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1. Health Human Resources Forecasting Model | - Approximately three-quarters of direct care staff in Ontario’s long-term care (LTC) sector are Personal Support Workers (PSWs) - Despite their importance, relatively little is known about them | To create a dynamic forecasting model to outline the current and future use of PSWs and nurses in the LTC sector | - Through three phases, build and validate a forecasting model that brings together demand and supply data for PSWs and nurses | Phase 1: 2014 Phase 2: 2015 Phase 3: 2015–2017 (Ongoing) | - Knowing how many nurses and PSWs will be required, as well as the projected supply, will assist provincial planning |
2. Improving Wait Times and Transitions in Care | - Concern about the huge (alternate level care) numbers of patients in hospitals - Backlogs exist while patients wait in one facility for a bed to become available in another facility | To provide a queuing model that maps how patients move through a network of post-acute services (including LTC) in order to better understand the necessary capacity at each node in the network | - Development of a network queuing model with blocking, development of a simulation model, comparison of the simulation results with current performance metrics, optimisation and testing of the model | 2013–2015 | - Provide insight as to the average build-up of clients waiting at each facility and what alternative facility they are seeking to enter - Determine optimal capacity and resource allocation for the various facilities that minimises blocking at each stage |
3. Understanding Health Care Use and Cost for LTC and End-of-Life | - Better understanding of the major population drivers of LTC admissions and outcomes, as well as the cost drivers for LTC services required | To examine factors that influence healthcare use and cost, and reporting on indicators that measure the performance of the healthcare system at the end‐of‐life and in LTC | - A retrospective, 12-month analysis of several variables for all deaths in Ontario in 2011 and 2012 (177,817 deaths) | 2013–2015 | - Understand the role of socio-demographic variables, co-morbidity, health system variables and acute healthcare events on healthcare use and costs at the end-of-life and in LTC |
4. Specialised Units in LTC Homes | - Despite the potential of Specialised Units and the well-documented gaps in the current care system, the number of designated Specialised Units remains low | To create a toolkit for LTC Homes interested in establishing a Specialised Unit; explore capacity planning aspects of LTC Specialised Units in Ontario; and assist interested LTC Homes with their application for a Specialised Unit | - Review existing literature and other information on providing specialised care to LTC residents - Province-wide consultation with stakeholders about their experience with Specialised Units | 2014–2017 (Data analysis ongoing) | - Better understanding of the facilitators and challenges for Specialised Units - Multi-stakeholder toolkit to support the designation process |
5. Framework for Case Costing in Long-Term Care | - Case costing is critical to plan for efficient models of care delivery and for decision-making; although it is common in other healthcare sectors, it is not practiced in LTC | To develop a case costing framework for the LTC sector and to generate an approximation of resident-specific costs in two LTC homes | - As a first step, review the literature to identify (1) case costing frameworks in LTC and/or other sectors, and (2) nursing workload proxies for LTC; consult with experts in the field | 2013–2015 | - Enhanced decision-making for resource allocation and staffing based on the actual resource requirements by residents, not purely based on historical staffing models |