Relationship between structural characteristics and outcome quality indicators at health care facilities for the elderly requiring long‐term care in <scp>J</scp>apan from a nationwide survey

Garrido, Felipe Alfonso Sandoval; Tamiya, Nanako; Kashiwagi, Masayo; Miyata, Sumiko; Okochi, Jiro; Moriyama, Yoko; Yamaoka, Yui; Takamuku, Kiyoshi

doi:10.1111/ggi.12098

Cited by 12 publications

(21 citation statements)

References 31 publications

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“…We included years in business, facility size (<100 beds, 100 beds or >100 beds), location (metropolitan, non-metropolitan), the availability of 24-h nursing staff and the number of staff in different specialties allocated per 100 users, the proportion of registered nurses (RN) among nurses, and the proportion of registered dietitians among all dietitians. 9,13,14,22 We also included an independent variable that indicated the types of care facilities provide in terms of traditional, unit or mixed. Traditional care is mainly provided in facilities with a shared room setting.…”

Section: Facility-level Characteristicsmentioning

confidence: 99%

“…However, previous studies have shown that facility service users were more likely to experience a deterioration in the care‐need level than community‐based service and home care service users . To the best of our knowledge, only one study has analyzed the facility characteristics that are associated with the outcome indicators, but no study has investigated the facility characteristics that are associated with care‐need level deterioration …”

Section: Introductionmentioning

confidence: 99%

“…8 To the best of our knowledge, only one study has analyzed the facility characteristics that are associated with the outcome indicators, but no study has investigated the facility characteristics that are associated with care-need level deterioration. 9 In the USA, investigations of nursing home characteristics using the quality indicator of ADL change have been well documented. [10][11][12][13][14][15] According to a previous review, we found that both resident-and facility-level characteristics affect physical status decline; 12,13 however, some research studies failed to find facility-levelrelated variables.…”

Section: Introductionmentioning

confidence: 99%

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Resident and facility characteristics associated with care‐need level deterioration in long‐term care welfare facilities in Japan

Jin

Tamiya

Jeon

et al. 2018

Geriatrics Gerontology Int

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Aim: To determine the resident and facility characteristics associated with residents' care-need level deterioration in long-term care welfare facilities in Japan.Methods: A nationally representative sample of 358 886 residents who lived in 3774 long-term care welfare facilities for at least 1 year from October 2012 was obtained from long-term care insurance claims data. Facility characteristics were linked with a survey of institutions and establishments for long-term care in 2012. We used a multilevel logistic regression according to the inclusion and exclusion of lost to follow-up to define the resident and facility characteristics associated with resident care-need level deteriorations (lost to follow-up: the majority were hospitalized residents or had died; were treated as deterioration in the including loss to follow-up model).Results: Adjusting for the covariates, at the resident level, older age and lower care-need level at baseline were more likely to show deterioration in the care-need level. At the facility level, metropolitan facilities, unit model (all private room settings) and mixed-model facilities (partly private room settings) were less likely to experience careneed level deterioration. A higher proportion of registered nurses among all nurses was negatively related to careneed level deterioration only in the model including lost to follow-up. A higher proportion of registered dietitians among all dietitians and the facilities in business for fewer years were negatively associated with care-need level deterioration only in the model excluding lost to follow-up. Conclusions:The present study could help identify residents who are at risk of care-need level deterioration, and could contribute to improvements in provider quality performance and enhance competence in the market. Geriatr Gerontol Int 2018; 18: 758-766.

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Section: Facility-level Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resident and facility characteristics associated with care‐need level deterioration in long‐term care welfare facilities in Japan

Jin

Tamiya

Jeon

et al. 2018

Geriatrics Gerontology Int

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“…Adequate nurse staffing levels are critical to NH residents' quality of care outcomes. Different levels of nurse staffing, skill-mix, and TN hours have been studied as predictors of falls among the NH residents and hospital patients (Backhaus et al, 2016;Cho et al, 2016;Sandoval Garrido et al, 2014;He et al, 2016;Horn et al, 2016;Kalisch & Tschannen, 2012;Leland et al, 2012;Schuelke, Young, Folkerts, & Hawkins, 2014;Shin & Hyun, 2015;. In NHs, impact of nurse staffing levels on falls incidences were examined using total nurse HPRD and RN skill-mix (Backhaus et al, 2016), RN, RN skill-mix, and CNA HPRD (Shin & Hyun, 2015), CNA (Horn et al, 2016), TN HPRD (Sandoval Garrido et al, 2014), and CNA and LN HPRD (Leland et al, 2012).…”

Section: The Relationship Between Nurse Staffing Standards/levels Andmentioning

confidence: 99%

Staffing standards and care outcomes in for-profit and not-for-profit religious-based nursing homes

Omotowa¹

2018

J Aging Sci

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“…The two assessments may differ in many ways, including their goals and units of assessment as well as the stakeholders and audience of the evaluations. There are a few existing frameworks for LTCSPA in the United States, Canada, Europe, Japan and South Korea, some of which were proposals only while others were implemented [6][7][8][9][10][11]. The frameworks have shared goals to better understand their LTC system(s) and to inform various stakeholders of their performance.…”

Section: Introductionmentioning

confidence: 99%

Developing a framework for performance assessment of the public long-term care system in Korea: methodological and policy lessons

Kim

Jeon

2020

Health Res Policy Sys

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Background: Limited evidence exists on how to assess long-term care system performance. This study aims to report on the process and results of developing a performance assessment framework to evaluate the long-term care system financed by the public long-term care insurance in South Korea. Methods: The framework was developed through a six-step approach, including setting the goals and scope of performance assessment in the given policy context, reviewing existing performance frameworks, developing a framework with a wide range of potential indicators, refining the framework through a series of Delphi surveys and expert meetings, examining the feasibility of generated indicators through a pilot test, receiving the comments of stakeholders, and finalising the performance framework. Results: The finalised framework has 4 domainscoverage, quality of care, quality of life and system sustainability and 28 indicators, including 10 core indicators to monitor long-term care system performance. Usability and feasibility along with policy relevance were important criteria in selecting these indicators. The proposed framework can be used to assess the performance of the long-term care system in Korea, and the framework and its methodological approach can be benchmarks for other countries developing their own framework. Conclusions: It is critical to reconcile and prioritise various stakeholders' views and information needs as well as to balance methodological rigor with practical usefulness and feasibility in the development and implementation of a long-term care performance monitoring system.

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Relationship between structural characteristics and outcome quality indicators at health care facilities for the elderly requiring long‐term care in Japan from a nationwide survey

Cited by 12 publications

References 31 publications

Resident and facility characteristics associated with care‐need level deterioration in long‐term care welfare facilities in Japan

Resident and facility characteristics associated with care‐need level deterioration in long‐term care welfare facilities in Japan

Staffing standards and care outcomes in for-profit and not-for-profit religious-based nursing homes

Developing a framework for performance assessment of the public long-term care system in Korea: methodological and policy lessons

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