Dataset Information

The associations between staffing hours and quality of care indicators in long-term care.

ABSTRACT:

Background

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.

Methods

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.

Results

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 = ConclusionsThe 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.

SUBMITTER: Boscart VM

PROVIDER: S-EPMC6171224 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Publications

The associations between staffing hours and quality of care indicators in long-term care.

Boscart Veronique M VM Sidani Souraya S Poss Jeffrey J Davey Meaghan M d'Avernas Josie J Brown Paul P Heckman George G Ploeg Jenny J Costa Andrew P AP

BMC health services research 20181003 1

<h4>Background</h4>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.<h4>Methods</h4>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 inc ...[more]

PMID: 30285716

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Project description:ObjectivesTo understand dementia care providers' perspectives on high-quality care for persons living with dementia (PLWD) in long-term care (LTC).DesignA qualitative study using a directed content analysis approach.Setting and participantsNine national LTC dementia care providers.MethodsWe facilitated 5 listening sessions centered around dementia care philosophies, models, and practices. Two researchers first mapped qualitative data to the Holistic Approach to Transformational Change (HATCh) model for dementia care using a directed content analysis approach. They then identified themes and subthemes emerging from the data using a conventional analysis approach. They coded data iteratively and solicited input from 3 additional researchers to reach consensus where needed. Member checks were performed to ensure the trustworthiness of the data during 2 follow-up listening sessions.ResultsThe 9 participants described the importance of understanding the experiences of PLWDs in order to provide high-quality dementia care and to deliver such care with the residents and their preferences as the focus. They emphasized experiential education as essential for families and all staff, regardless of role. They noted the need to balance safety with resident choice, as well as the corresponding need for facility leadership and regulators to support such choices. The listening sessions revealed areas to foster person-centered care for PLWD, but also highlighted barriers to implementing this philosophy in LTC settings.Conclusions and implicationsEmergent themes included care practices that center on resident preferences and are supported by staff with the experiential education and communication skills necessary to relate to and support PLWD. These findings provide contextual information for researchers seeking to identify and test interventions that reflect LTC providers' priorities for PLWD and emphasize the need to align research priorities with provider priorities.

Dataset Information

The associations between staffing hours and quality of care indicators in long-term care.

Background

Methods

Results

Publications

The associations between staffing hours and quality of care indicators in long-term care.

Similar Datasets

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