Interim Report: Home Care Nursing Health Human Resources – Building and Sustaining a Quality Nursing Workforce

Research Team

Diane Doran, RN, PhD, FCAHS
Dan Laporte, Research Manager, NHSRU
Sang Nahm, Data Analyst, NHSRU
Laureen Hayes, Research Officer,
NHSRU Roshan Khan, Research Officer, NHSRU

Executive Summary

Ontario faces enormous health care challenges driven by realities that include: a shortage of nurses, an aging workforce, issues in inter-professional care, advancing technologies, increasing patient complexity, and a need for chronic-disease management. Underlying all of this is a recognized concern about the available supply of the nursing workforce and projected shortages of Registered Nurses in Canada of almost 60,000 full-time equivalents (FTEs) by 2022 (Tomblin Murphy, 2009). Effective strategies are needed to address the impending nursing shortage, particularly in sectors such as home care and Long-Term Care (LTC), where demand for health care is expected to increase and where disparities in nursing services supply and demand have been the most glaring. Furthermore, new possibilities in service delivery are being created, through the Ontario provincial government’s Aging at Home (AAH) strategy (MOHLTC, 2009), which emphasize community-based partnerships and an integrated continuum of services. Researchers, home care nurses, nurse leaders and policy makers need to work together to generate the evidence required to support the goals of effective chronic disease management and improved outcomes for Ontario’s diverse population.

This study was designed to generate evidence about effective strategies for recruiting and retaining home care nurses and sustaining home care nursing capacity, in order to meet the health needs of Ontario’s diverse population. It is the researchers’ intention that the findings of this study will assist with creating solutions for attracting nurses to under-resourced areas by improving the prospects for rewarding, long term employment for home care nurses through the creation of policy change. A second goal of this applied research project is to inform policy decisions, through valid research, about effective strategies for optimizing the utilization of RNs and RPNs in community practice settings.

The primary objectives of the study currently underway at the Nursing Health Services Research Unit (NHSRU) are to:

  1. Determine how decisions, on the utilization and allocation of Registered Nurses (RNs) and Registered Practical Nurses (RPNs), are currently being made in Ontario home care provider agencies; investigate the feasibility of, and provide input into, the development of an RN/RPN Utilization Toolkit for the home care sector.
  2. Compile a detailed demographic profile of nurses working in the home care sector and identify areas of concern/strength related to current trends in the home care nursing workforce.
  3. Evaluate the unique challenges of attracting and retaining early, mid and late career nurses to the home care sector and describe factors or policy initiatives that may be instrumental in attracting new graduates to community nursing as an employment choice.

To date, researchers have completed a detailed demography of visiting home care nurses working in Ontario, and are in the process of administering surveys to a stratified sample of 900 early, mid and late career nurses in this sector.  Concurrent with the survey administration, interviews with a sample of home care (HC) decision makers are being conducted by NHSRU staff. Interview questions have been developed to address issues associated with the allocation and utilization of RN/RPNs in Ontario’s home care settings.

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Interim Report: Evaluating the Impact of Ontario’s Late Career Nurse Initiative

Research Team
Diane Doran, RN, PhD, FCAHS
Dan Laporte, Research Manager, NHSRU
Autumn Chilcote, Research Officer, NHSRU
Paul Rizk, Research Officer, NHSRU
Ping Zou, Research Assistant, NHSRU

Executive Summary

In an effort to stem the loss of Ontario’s late career nurses, in 2004 the Ontario Ministry of Health and Long-Term Care (MOHLTC) introduced the Late Career Nurse Initiative (LCNI). This initiative involved providing funding to hospitals and long-term care homes for salary or benefits replacement costs for late career nurses (Registered Nurse, Registered Practical Nurse and Nurse Practitioners who are aged 55 and over) participating in less physically demanding nursing roles for 20% of their working time.

The current study was developed to systematically evaluate the impact of the MOHLTC’s LCNI on the retention of late career nurses in Ontario, as well as explore the degree to which it is impacting nurses’ job satisfaction and feelings of organizational commitment. In addition to these primary objectives, the study explores the secondary benefits of the Initiative, such as capacity building and its impact on patient care.

The specific objectives of the study currently underway at the NHSRU are to:

  1. Determine the extent to which the LCNI has had an impact on retention rates of late career nurses;
  2. Evaluate the MOHLTC’s Retention Performance Target formula for assessing the success of organizations’ efforts to retain nurses;
  3. Determine the extent to which the LCNI has had an impact of the job satisfaction, autonomy, control over the work environment, and burnout of late career nurses;
  4. Describe the secondary impacts of the LCNI on organizations (i.e., secondary benefits and consequences);
  5. Determine which specific characteristics of late career proposals are associated with improved retention rates.

To date, researchers have been in contact with 90 organizations that have participated in the LCNI, 67 of which have agreed to contribute data to the study. Currently in the first phase of the evaluation, the NHSRU has engaged Nurse Leaders throughout Ontario in semi-structured interviews to obtain their impressions of the initiative and assess the perceived success of the LCNI. Interview participants have also been asked to characterize the components of a successful LCNI proposal. The current report reflects the preliminary analyses of these interviews.

Key Messages

Successes. Preliminary analysis of the interview data indicates that organizations support the initiative and are reporting successful retention of Late Career Nurses. Nurses Managers suggested that the programs offering opportunities for mentorship, programs focusing on patient care, or those that were specifically designed for the Late Career Nurse participants resulted in higher levels of job satisfaction and enhanced practice experience of Late Career Nurses. Nurse Managers also identified secondary benefits of participation in the LCNI, including improved clinical outcomes with patients and a range of organizational benefits from improvements in organizational culture (e.g. reputation as a good employer, values-driven organization) to completion of important special projects.

Concerns over time frame. Concern has been expressed about the insufficient time provided to organizations to put their programs in place and utilize the LCNI funding, especially the announcement of funding in late December with a requirement to fulfill program goals by March. Participants reported that the short timeframe allotted for projects was problematic due to scheduling difficulties and insufficient time to roll-out proposed projects in order to use the funds offered. Nurse Managers suggested that the funding period of January through March was further complicated by winter holidays combined with the increased needs of patients during cold and flu season.

Response to Retention Performance Target. Participants conveyed that they had little understanding of the purpose or meaning behind the Retention Performance Target (RPT). Recurrent themes appearing in the interview data included difficulty in completing the form, lack of comprehension of the calculations, and little connection between the Target and the initiative (e.g., retention is not the only relevant outcome to organizations, as other indicators of success, such as capacity building and improved patient outcomes are not captured by the RPT). Nurse Managers also expressed that they would benefit from a greater understanding of the RPT formula, and would also like to receive feedback on whether the form has been completed correctly, as well as feedback related to how the measure is used after the fact or compared with other participating sites.

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Research in Action: Evaluating the Impact of Ontario’s Late Career Nurse Initiative

Research Team
Diane Doran, RN, PhD, FCAHS
Dan Laporte, Research Manager, NHSRU
Autumn Chilcote, Research Officer, NHSRU
Paul Rizk, Research Officer, NHSRU
Ping Zou, Research Assistant, NHSRU

This summary presents selected highlights from a research study entitled “Evaluating the Impact of Ontario’s Late Career Nurse Initiative”. An interim report for the research study is also available on our website.

Once the study has been completed, the full report will be available on our website: www.nhsru.com. For more information, please contact Autumn Chilcote at autumn.chilcote@utoronto.ca.

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Evaluation of a Patient Care Delivery Model: System Outcomes in Acute Cardiac Care

Author(s): O’Brien-Pallas, Linda; Li, X. Mingyang; Wang, Sping; Meyer, Raquel M.; Thomson, Donna

Publication: Canadian Journal of Nursing Research, Volume 42, Number 4, Winter 2010 , pp. 98-120(23)

Abstract:

Hierarchical linear modelling was used to evaluate the influence of nurse staffing, work environment, and nurse and patient variables on system outcomes based on data collected in Canadian cardiac and cardiovascular inpatient units. Staffing utilization levels below 80% at the unit level and less overtime optimized perceived care quality and the completion of therapeutic interventions. Fewer patients per nurse improved perceived care quality and reduced longer-than expected length of stay. Nurse reports of greater resource adequacy were associated with less absenteeism and fewer uncompleted or delayed nursing interventions. System outcomes were also influenced by patient characteristics (health, pre-operative education, nursing diagnoses); nurse characteristics (experience, expertise, health, effort-reward imbalance); and work-environment factors (autonomy, unit instability).

French

Nous avons recouru à la modélisation linéaire hiérarchique afin d’évaluer, à partir de données recueillies auprès de services hospitaliers de cardiologie, l’incidence sur les résultats systémiques de la dotation en personnel infirmier, du milieu de travail et de variables relatives aux infirmières et aux patients. Une utilisation inférieure à 80 % de l’effectif du service et un moindre recours aux heures supplémentaires accroissent au maximum la perception de la qualité des soins et l’exécution des interventions thérapeutiques. Un ratio infirmière/ patients peu élevé améliore la perception de la qualité des soins tout en réduisant les séjours prolongés imprévus. Une dotation jugée adéquate par le personnel infirmier est associée à une diminution de l’absentéisme et du nombre d’interventions infirmières inachevées ou remises à plus tard. Les résultats systémiques sont également tributaires des caractéristiques de la clientèle (état de santé, éducation pré-opératoire, diagnostics infirmiers), des caractéristiques du personnel infirmier (expérience, expertise, état de santé, déséquilibre effort-récompense) et des facteurs associés au milieu de travail (autonomie, instabilité au sein du service).

The Patient Care Delivery Model – An Open System Framework: Conceptualisation, Literature Review and Analytical Strategy

Authors(s): O’Brien-Pallas, L., Meyer, R., Hayes, L., & Wang, S.

Publication: Journal of Clinical Nursing (2010)

Abstract:

Aims and objectives: This paper presents the Patient Care Delivery Model to illustrate interrelationships between model components and to support its application in research using advanced analytical techniques, including structural equation modelling.

Background: Many complex factors contribute to the nature of healthcare environments and to nurse, patient and system outcomes. A better understanding of these factors and their interrelationships would provide insight for decision-makers to develop strategies to improve outcomes.

Design: A literature review approach was used to address the objectives.

Method: A threefold approach used existing theory to explicate a comprehensive conceptual framework, reviewed empirical studies of the proposed relationships and considered the application of advanced analytical techniques to inform future research directions.

Results: As per general system theory, inputs (patient, nurse and system characteristics) to the Patient Care Delivery Model interact with throughputs (nursing interventions, work environments and environmental complexity) to produce intermediate (staffing levels) and distal outputs (patient, nurse and system outcomes). Application of the model in research and its relevance for healthcare settings is supported in the current literature. Statistical techniques that allow model testing and the investigation of multiple relationships simultaneously have demonstrated the interconnections among the model components.

Conclusions: Development of the Patient Care Delivery Model is a step towards understanding work environments and providing healthcare managers with evidence-based management tools. Formal testing of comprehensive, multilevel conceptual models will provide empirical linkages between inputs and outputs and will identify potential mediators between predictors and outcomes to offer new insight into organisational practices.

Relevance to clinical practice: A better understanding of how factors in the work environment impact clinical outcomes can facilitate care processes in the nursing unit. Future studies using comprehensive conceptual frameworks and sophisticated analytical approaches will enhance professional nursing practice and improve clinical outcomes in healthcare organisations.

Forecasting Future Workforce Demand: A Process Evaluation

Authors: Baumann, A & Kolotylo, C.

Executive Summary:

Funded by the Nursing Secretariat, Ontario Ministry of Health and Long-Term Care, the Forecasting Workforce Demand Project is a demonstration of health human resources (HHR) planning. This study focuses on the implementation and evaluation of the Forecasting Future Workforce Demand Tool (the Tool) developed by The Advisory Board Company (2007a, b). It was hypothesized that implementation of the Tool would enable hospitals to enter historical workforce data to create oneto fi ve-year forecasts for proactive HHR planning and strategy development.

The participant organizations consisted of five hospitals: three teaching, one community, and one rehabilitation and complex continuing care. The organizations and the Ontario Hospital Association sought to address a gap in the provincial healthcare system and contribute to strategic HHR planning. Initially a one-year project, permission was obtained to use the Tool for a second year. The organizations that participated in year two were the same as in year one.

The sample for the organizations varied to meet the needs of each site. Two teaching hospitals and the rehabilitation hospital chose nursing and allied health disciplines as their forecasting groups, the other two organizations chose only nursing. While focused efforts were made to improve consistency in implementation, consideration was given to the unique setting of each organization in order to generate relevant fi ndings.

This project is the fi rst of its kind in Ontario to use a forecasting tool as a standardized approach to human resource (HR) planning across healthcare organizations.
Key findings include the approach to HR planning varied across organizations, it takes time to collect and enter the data elements, and standardized defi nitions are critical to accuracy and applicability. Another key fi nding was that organizations vary in how they store data and how they code employees.

The Tool was a systematic method for data collection. It captured historical data and was useful for pre-planning and identifying trends. However, historical information became less valuable when there were major changes in the organization. The Tool breaks forecasting down into fi ve easy steps and provides user-friendly tools to assist the organization. In addition, client support is offered by The Advisory Board Company.1

All participants agreed it was a useful process and that the exercise provided insight both into comparability of data and organizational differences in HR data collection and storage. The company has moved from an Excel-based application to a web-based format that may be more convenient, but all data in this format will be stored in the United States. Organizations would need to explore any implications this might have for privacy and data protection.

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Exploring Worklife Issues In Provincial Correctional Settings

These summaries highlight findings from a research study entitled “Exploring Worklife Issues in Provincial Correctional Settings”. The study was conducted at the Lawrence S. Bloomberg Faculty of Nursing, University of Toronto and funded by the Ontario Ministry of Health and Long-Term Care.

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Nurses in Public Health in Ontario

Authors: Underwood, J., Baumann, A., Deber, R., & Dragan, A.

The total number of nurses employed in public health in Ontario has been remarkably stable over the past decade. This fact sheet analyzes the yearly registration data provided by the College of Nurses of Ontario (CNO) for 1993 to 2009 to clarify the supply trends as well as the age, and registration profile of nurses who work in public health. It updates the 2007 fact sheet on Nurses in Public Health in Ontario.

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Employer Perspectives on Implementing an Employment Strategy

Authors: Hunsberger, M., Baumann, A., Idriss, D. and Alameddine, M.

 

In 2007 the Nursing Graduate Guarantee (NGG) was launched to ensure that every Ontario RN and RPN graduate would have the opportunity to work fulltime hours (MOHLTC, 2007). An evaluation of the NGG is reported in Employment of Nursing Graduates: Evaluation of a Provincial Policy Strategy (2008). This fact sheet presents the perspectives of employers who participated in the NGG initiative.

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