This thesis examines issues pertaining to health human resources in the Ontario nursing profession, focusing on registered nurses (RNs) and registered practical nurses (RPNs). It consists of four chapters that explore the following nursing labour market trends: (1) multiple jobholding, part-time and casual employment, and other individual nurse and job-level characteristics (2) nursing job instability as measured by turnover and the number of years a job-worker (job-nurse) match exists, (3) nurse staffing agency employment, and (4) occupational attrition or turnover rates. The first two chapters compare nurses employed in the long-term care home (LTCH) sector, to the following healthcare sectors: hospitals, primary care, home care, supportive housing, public health (Chapter 2 only), and an aggregate “other” category. In Chapters 2 to 4, pre-COVID-19 trends are compared with the first, and where possible, the second year of the pandemic. All chapters in this thesis employ the Health Professions Database (HPDB), a dataset from the Ontario Ministry of Health, which derives from regulatory registration data.
Chapter 1 examines the prevalence of multiple jobholding, part-time and casual employment, employment status versus employment preference, and other individual nurse and job level characteristics (e.g., the location of first education, languages spoken in practice). The results indicate the likelihood of multiple jobholding does not significantly differ in the LTCH sector compared to other healthcare sectors, especially among RPNs. Moreover, there is no evidence of excessive part-time and casual employment in LTCHs compared to other sectors. However, LTCH RNs and RPNs are significantly more likely to prefer full-time employment, while being employed in part-time or casual positions, referred to as involuntary part-time or casual status. Nurses are heterogenous across sectors in their individual characteristics and employment preferences. Notably, LTCH nurses are more likely to be internationally educated, and primary care nurses are more likely to prefer part-time employment.
Chapter 2 investigates nursing job instability across the healthcare sectors found in Chapter 1, with the addition of public health. Average annual turnover (2014-2019) was 25.7 percent among LTCH RNs and 22.9 percent among LTCH RPNs. These findings demonstrate RN job turnover rates in LTCHs do not substantially deviate from those observed in other sectors and fall in the middle of the distribution. RPN job turnover rates in LTCHs are the second lowest observed, where turnover rates are lower in the hospital sector. Across both nurse categories, hospital jobs are the most durable, where a job-nurse match lasts 0.6 to 0.8 years longer than the average RN LTCH job, and 0.1 to 0.2 years longer than the average RPN LTCH job (over a five-year period). Results from 2020 indicate turnover increased the most in the LTCH and supportive housing sectors (by a maximum of 7.5 percent among LTCH RPNs) – the only two sectors where a single site restriction was implemented in 2020, making it difficult to interpret the cause of these findings.
Chapter 3 documents the share of agency employed nurses, and the rate at which previously non-agency employed nurses obtain at least one agency position (the agency transition rate) over the 2011-2021 period. The results show that over the data period, the share of agency RNs was small (ranging from 2.4 to 3.4 percent), and slightly higher among RPNs (ranging from 6.1 to 7.1 percent). The agency transition rate is also low – ranging from 0.7 to 1.1 percent among RNs and 1.9 to 2.5 percent among RPNs from 2011-2021. The share of agency employment and the agency transition rate decreased during the first year of the pandemic (2020), and subsequently increased back to pre-pandemic levels in 2021. However, mean hours of work increased among agency (and non-agency) nurses, which may explain a small part of the increase in public spending on agency fees.
Chapter 4 measures occupational turnover, where nurses leave the profession altogether, as opposed to job turnover (Chapter 2), which includes nurses who change jobs within the profession. Occupational turnover, or attrition rates, are lower compared to the job turnover rates found in Chapter 2. Annual attrition rates ranged from 6.1 to 7.2 percent among RNs and 6.6 to 7.5 percent among RPNs pre-pandemic (2014-2019). In the first two years of the pandemic, attrition rates increased modestly to 7.7 (2020) and 8.1 (2021) percent among RNs, and 8.0 (2020) and 8.6 percent (2021) among RPNs. Over the entire period of analysis, a larger share of attrition derives from nurses who register active, but are without Ontario nursing employment, compared to nurses who register inactive or do not register. Nurses who register active without Ontario nursing employment may be viewed as undertaking a more temporary exit, as such nurses are significantly more likely to return to the profession. / Thesis / Candidate in Philosophy / This thesis examines health policy relevant issues in the Ontario nursing labour market. Reports of health human resource deficiencies, especially in the nursing profession and the long-term care home (LTCH) sector, increased throughout the COVID-19 pandemic. I perform empirical analysis to ratify such claims. First, I compare the rate of multiple jobholding, part-time and casual employment, and other individual and job-related characteristics among nurses employed in LTCHs compared to five other healthcare sectors. Next, I measure nursing job turnover in LTCHs compared to six other healthcare sectors. Third, I examine the count and share of nurses employed at private staffing agencies, and the rate at which nurses in traditional jobs transition to agency employment. Finally, in contrast to job turnover, which includes nurses who change jobs within the profession, I measure occupational turnover at the individual level where nurses leave the profession altogether. In most analyses, I compare pre-pandemic and pandemic (2020 and 2021 where possible) trends.
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/29772 |
| Date | January 2024 |
| Creators | Drost, Alyssa |
| Contributors | Sweetman, Arthur, Veall, Michael, Economics |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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