Abstract:Background and Objectives
In long-term care (LTC) facilities, nursing staff are important contributors to resident care and well-being. Despite this, the relationships between nursing staff coverage, care hours, and quality of resident care in LTC facilities are not well understood and have implications for policy-makers. This systematic review summarizes current evidence on the relationship between nursing staff coverage, care hours, and quality of resident care in LTC facilities.
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“…Several studies have shown inverse relations between staffing levels and care hours, and poor outcomes such as rates of infection and hospital admission among residents. [18][19][20][21] Recent studies have also shown an association between low staffing levels and COVID-19 infections within LTC homes. [22][23][24] Many LTC staff, in particular care aides or personal support workers, are underpaid and less likely to secure fulltime positions relative to their counterparts in other sectors of the health care system.…”
How was long-term care different in Ontario and British Columbia before COVID-19? Characteristics of residents Before the pandemic, the age and sex distribution of residents in LTC were similar in the 2 provinces (Table 2). 9,10 Although residents living in Ontario LTC homes appear to be more medically and functionally complex, it is unclear whether these are true differences or reflect differing documentation practices, which may arise as a consequence of different funding formulas. 15-17 Funding, staffing and direct care hours In 2018-2019, the average combined funding per resident per diem was higher in British Columbia ($222) than in Ontario ($203). 10,11 Most of this funding is used to pay staff in both provinces. 11,14 Some estimates suggest that, before the pandemic, residents in British Columbia received more daily hours of direct care (3.25) than residents in Ontario (2.71). 10,12 There are ANALYSIS HEALTH SERVICES
“…Several studies have shown inverse relations between staffing levels and care hours, and poor outcomes such as rates of infection and hospital admission among residents. [18][19][20][21] Recent studies have also shown an association between low staffing levels and COVID-19 infections within LTC homes. [22][23][24] Many LTC staff, in particular care aides or personal support workers, are underpaid and less likely to secure fulltime positions relative to their counterparts in other sectors of the health care system.…”
How was long-term care different in Ontario and British Columbia before COVID-19? Characteristics of residents Before the pandemic, the age and sex distribution of residents in LTC were similar in the 2 provinces (Table 2). 9,10 Although residents living in Ontario LTC homes appear to be more medically and functionally complex, it is unclear whether these are true differences or reflect differing documentation practices, which may arise as a consequence of different funding formulas. 15-17 Funding, staffing and direct care hours In 2018-2019, the average combined funding per resident per diem was higher in British Columbia ($222) than in Ontario ($203). 10,11 Most of this funding is used to pay staff in both provinces. 11,14 Some estimates suggest that, before the pandemic, residents in British Columbia received more daily hours of direct care (3.25) than residents in Ontario (2.71). 10,12 There are ANALYSIS HEALTH SERVICES
“…While we did not conduct systematic reviews to assess whether each of the identified research priorities have been addressed before, TREC researchers with extensive expertise in the content area of prioritized research questions have identified that the identified priorities indeed not only constitute a gap in using our TREC data, but also a gap in the literature. For example, the question identified as highest priority (influence of different staffing levels and staff mix on resident outcomes) has been addressed in LTC settings [35,36], but these reviews highlight that the quality of available studies is weak, findings are heterogeneous and inconclusive, and that especially the interaction between elements of care staff work environments (leadership, culture, connections within the team) and staffing levels or staff mix may better explain resident outcomes. However, this interaction has not been studied yet in LTC.…”
Background: The Translating Research in Elder Care (TREC) program is a longitudinal partnered program of research in Western Canada that aims to improve the quality of care and quality of life for residents and quality of worklife for staff in long-term care settings. This program of research includes researchers, citizens (persons living with dementia and caregivers of persons living in long-term care), and stakeholders (representatives from provincial and regional health authorities, owner-operators of long-term care homes). The aim of this paper is to describe how we used priority setting methods with citizens and stakeholders to identify ten priorities for research using the TREC data. Methods: We adapted the James Lind Alliance Priority Setting Partnership method to ensure our citizens and stakeholders could identify priorities within the existing TREC data. We administered an online survey to our citizen and stakeholder partners. An in-person priority setting workshop was held in March 2019 in Alberta, Canada to establish consensus on ten research priorities. The in-person workshop used a nominal group technique and involved two rounds of small group prioritization and one final full group ranking. Results: We received 72 online survey respondents and 19 persons (citizens, stakeholders) attended the in-person priority setting workshop. The workshop resulted in an unranked list of their ten research priorities for the TREC program. These priorities encompassed a range of non-clinical topics, including: influence of staffing (ratios, type of care provider) on residents and staff work life, influence of the work environment on resident outcomes, and the impact of quality improvement activities on residents and staff. Conclusions: This modified priority setting approach provided citizens and stakeholders with an opportunity to identify their own research priorities within the TREC program, without the external pressures of researchers. These priorities will inform the secondary analyses of the TREC data and the development of new projects. This modified priority setting may be a useful approach for research teams trying to engage their non-academic partners and to identify areas for future research.
“…There have been, however, no systematic reviews that investigate a minimum HPRD of RNs to attain the maximum quality of care in NHs [ 22 ]. Most studies used cross-sectional or retrospective designs [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…There have been, however, no systematic reviews that investigate a minimum HPRD of RNs to attain the maximum quality of care in NHs [ 22 ]. Most studies used cross-sectional or retrospective designs [ 22 ]. In a systematic review (54 studies in total), 20 (37%) were retrospective studies, 16 (30%) were retrospective studies with cross-sectional analysis, and nine (17%) used cross-sectional analysis.…”
Section: Introductionmentioning
confidence: 99%
“…These factors may correlate with the explanatory variables of the study. Due to the limitations of the study design, studies of the relationship between nurse staffing and quality of care in NHs have shown inconsistent results [ 22 ].…”
The purpose of this study was to estimate how much resident outcomes can improve with an increase in hours per resident day (HPRD) of registered nurses (RNs) staffing. Nursing home (NH) staff in Korea have serious problems with inappropriate nurse staffing standards and poor working conditions, which lead to poor quality of care for NH residents. This study used a longitudinal survey design. A quota sampling was used with a total of several repeated survey measurement from 2017 to 2020 (n = 74). The independent variable was the amount of nurse staffing HPRD and the outcome variable was the compiled outcome of 15 quality-of-care indicators. Data were directly collected from all participating NHs. A longitudinal, multilevel model was used for analysis. An increase of one unit of RN HPRD (60 min) corresponded to a decrease of about 10.5% of residents with deteriorated quality of care outcomes. This study emphasized that increasing RN HPRD decreased residents’ deteriorated outcomes in NHs. This suggests that professional RNs must be secured to an appropriate level to improve the quality of care for NH residents.
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