You are here

An investigation of approaches to performance measurement: Applications to long-term care in Ontario

TitleAn investigation of approaches to performance measurement: Applications to long-term care in Ontario
Year of Publication2015
AuthorsHsu, A. Teh- Mei
UniversityUniversity of Toronto
CityToronto, ON
Keywordsefficiency, long-term care, nursing homes, panel data, quantile regression, stochastic frontier analysis
Abstract

With a growing proportion of older adults in the Canadian population, the sustainability of publicly-funded long-term care (LTC) continues to be a concern. While emphasis has been placed on more efficient care delivery - that is, to increase output with a fixed amount of resources - it is unclear if, and how greater efficiency can be realized in a market where the quantities of inputs and output are carefully regulated by government policies. Furthermore, despite the wealth of information on the association between organizational structure, efficiency, and quality of care from research conducted in the U.S., these relationships have not been extensively studied in Canada. This type of analysis is of particular relevance for Ontario, which has the highest proportion of for-profit, chain-owned nursing homes (also known as 'LTC homes') in the country. To explore these questions, econometric methods were applied to evaluative the productivity and technical efficiency of LTC homes in Ontario. The dataset was derived from Statistics Canada's Residential Care Facilities Survey (RCFS) and consisted of observations from 627 LTC homes collected over 15 years (1996/1997 to 2010/2011). Dynamic panel data models - including random effects, fixed effects, maximum likelihood and quantile regression - were estimated to determine the production function of service providers in this sector. Descriptive results revealed that staffing levels were the highest among municipal LTC homes, followed by not-for-profit and for-profit operators. On average, independent facilities provided more hours of direct care than chain-affiliated LTC homes. Within these facilities, health care aides provided more hours of care than any other category of care personnel; in fact, their contribution to residents' care increased over time. Results from the dynamic panel data models found chain affiliation, urban location, and the scale of operation to be positive and significant predictors of technical efficiency - controlling for heterogeneity in the residents' care needs, other organizational attributes (e.g., profit status) and the operating environment (e.g., market concentration). Technical efficiency is one of many aspects of performance. The empirical work presented in this thesis offers examples of methods that can be used to analyze and inform LTC policies in Ontario in the future.

URLhttps://tspace.library.utoronto.ca/handle/1807/70863
DOI
Document URLhttps://tspace.library.utoronto.ca/bitstream/1807/70863/3/Hsu_Amy_T_201511_PhD_thesis.pdf