Background: Careful hand hygiene (HH) is the single most important factor in preventing the transmission of infections to patients, but compliance is difficult to achieve and maintain. A lack of understanding of the processes involved in changing staff behaviour may contribute to the failure to achieve success. The purpose of this study was to identify nurses’ and administrators’ perceived barriers and facilitators to current HH practices and the implementation of a new electronic monitoring technology for HH. Methods: Ten key informant interviews (three administrators and seven nurses) were conducted to explore barriers and facilitators related to HH and the impact of the new technology on outcomes. The semi structured interviews were based on the Theoretical Domains Framework by Michie et al. and conducted prior to intervention implementation. Data were explored using an inductive qualitative analysis approach. Data between administrators and nurses were compared. Results: In 9 of the 12 domains, nurses and administrators differed in their responses. Administrators believed that nurses have insufficient knowledge and skills to perform HH, whereas the nurses were confident they had the required knowledge and skills. Nurses focused on immediate consequences, whereas administrators highlighted long-term outcomes of the system. Nurses concentrated foremost on their personal safety and their families’ safety as a source of motivation to perform HH, whereas administrators identified professional commitment, incentives, and goal setting. Administrators stated that the staff do not have the decision processes in place to judge whether HH is necessary or not. They also highlighted the positive aspects of teams as a social influence, whereas nurses were not interested in group conformity or being compared to others. Nurses described the importance of individual feedback and self-monitoring in order to increase their performance, whereas administrators reported different views. Conclusions: This study highlights the benefits of using a structured approach based on psychological theory to inform an implementation plan for a behavior change intervention. This work is an essential step towards systematically identifying factors affecting nurses’ behaviour associated with HH.

It is well known that older adults are high users of the health care system. Older adults with chronic conditions receive care from multiple providers, across multiple settings, and this care is often unorganized and confusing. In 2005, Ontario established a model of inter-professional primary care (family health teams) with the aim of providing enhanced interdisciplinary primary care to patients. Primary care requires an in-depth understanding of the operations of primary care teams and their relationships with other community services. The aim of this study was to develop a deeper understanding of the current operations of two family health teams in Ontario, including their current processes for referrals, information sharing, and engagement of patients in decision-making. Focus group and individual semi-structured interviews with health care providers were conducted. Purposeful sampling was used to ensure information was obtained from different professional perspectives. Interviews were audio-recorded and transcribed verbatim. Using NVivo 10, data were analyzed using line by line thematic analysis techniques. A cluster technique was then applied to group similar codes into themes. Three focus group interviews (involving 4–6 health care providers/focus group) and six individual interviews were conducted with health care providers from two primary care teams and surrounding community care organizations. Six key themes were identified: 1) challenges engaging older adults in decisions about their care; 2) who is responsible for coordinating the care? 3) fragmented information sharing between health care providers; 4) lack of standardized referral processes and follow-up; 5) identifying services in the community for older adults; and 6) caring for older adults in rural communities. The results of this study provide an in-depth understanding of the current context in which the primary care teams are currently operating. Improved primary care will require stronger processes of coordination, greater knowledge of and connections with other community services, and enhanced patient engagement processes. This information provides a helpful basis for implementing interventions in primary care.

The COVID-19 pandemic has exposed persistent inequities in the long-term care sector and brought strict social/physical distancing distancing and public health quarantine guidelines that inadvertently put long-term care residents at risk for social isolation and loneliness. Virtual communication and technologies have come to the forefront as the primary mode for residents to maintain connections with their loved ones and the outside world; yet, many long-term care homes do not have the technological capabilities to support modern day technologies. There is an urgent need to replace antiquated technological infrastructures to enable person-centered care and prevent potentially irreversible cognitive and psychological declines by ensuring residents are able to maintain important relationships with their family and friends. To this end, we provide five technological recommendations to support the ethos of person-centered care in residential long-term care homes during the pandemic and in a post-COVID-19 pandemic world.

Long-term care (LTC) staffing practices are poorly understood as is their influence on quality of care. We examined the relationship between staffing characteristics and residents’ quality of care indicators at the unit level in LTC homes. This cross-sectional study collected data from administrative records and resident assessments from July 2014 to June 2015 at 11 LTC homes in Ontario, Canada comprising of 55 units and 32 residents in each unit. The sample included 69 registered nurses, 183 licensed/registered practical nurses, 858 nursing assistants, and 2173 residents. Practice sensitive, risk-adjusted quality indicators were described individually, then combined to create a quality of care composite ranking per unit. A multilevel regression model was used to estimate the association between staffing characteristics and quality of care composite ranking scores. Nursing assistants provided the majority of direct care hours in LTC homes (76.5%). The delivery of nursing assistant care hours per resident per day was significantly associated with higher quality of resident care (p = < 0.01). There were small but significant associations with quality of care for nursing assistants with seven or more years of experience (p = 0.02), nursing assistants late to shift (p = < 0.01) and licensed/registered practical nurses late to shift (p = 0.02). The number of care hours per resident per day delivered by NAs is an important contributor to residents’ quality of care in LTC homes. These findings can inform hiring and retention strategies for NAs in LTC, as well as examine opportunities to optimize the NA role in these settings.

Older adults living in long term care (LTC) homes are nutritionally vulnerable, often consuming insufficient energy, macro- and micronutrients to sustain their health and function. Multiple factors are proposed to influence food intake, yet our understanding of these diverse factors and their interactions are limited. The purpose of this paper is to fully describe the protocol used to examine determinants of food and fluid intake among older adults participating in the Making the Most of Mealtimes (M3) study. A conceptual framework that considers multi-level influences on mealtime experience, meal quality and meal access was used to design this multi-site cross-sectional study. Data were collected from 639 participants residing in 32 LTC homes in four Canadian provinces by trained researchers. Food intake was assessed with three-days of weighed food intake (main plate items), as well as estimations of side dishes, beverages and snacks and compared to the Dietary Reference Intake. Resident-level measures included: nutritional status, nutritional risk; disease conditions, medication, and diet prescriptions; oral health exam, signs of swallowing difficulty and olfactory ability; observed eating behaviours, type and number of staff assisting with eating; and food and foodservice satisfaction. Function, cognition, depression and pain were assessed using interRAI LTCF with selected items completed by researchers with care staff. Care staff completed a standardized person-directed care questionnaire. Researchers assessed dining rooms for physical and psychosocial aspects that could influence food intake. Management from each site completed a questionnaire that described the home, menu development, food production, out-sourcing of food, staffing levels, and staff training. Hierarchical regression models, accounting for clustering within province, home and dining room will be used to determine factors independently associated with energy and protein intake, as proxies for intake. Proportions of residents at risk of inadequate diets will also be determined. This rigorous and comprehensive data collection in a large and diverse sample will provide, for the first time, the opportunity to consider important modifiable factors associated with poor food intake of residents in LTC. Identification of factors that are independently associated with food intake will help to develop effective interventions that support food intake. ClinicalTrials.gov ID: NCT02800291 , retrospectively registered June 7, 2016.