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High-Performance Workplace Practices in Nursing Homes: An Economic Perspective

Overview of attention for article published in Gerontologist, January 2014
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Article details
Title
High-Performance Workplace Practices in Nursing Homes: An Economic Perspective
Published in
Gerontologist, January 2014
DOI 10.1093/geront/gnt163
Pubmed ID
Authors
Abstract

To develop implications for research, practice and policy, selected economics and human resources management research literature was reviewed to compare and contrast nursing home culture change work practices with high-performance human resource management systems in other industries. The organization of nursing home work under culture change has much in common with high-performance work systems, which are characterized by increased autonomy for front-line workers, self-managed teams, flattened supervisory hierarchy, and the aspiration that workers use specific knowledge gained on the job to enhance quality and customization. However, successful high-performance work systems also entail intensive recruitment, screening, and on-going training of workers, and compensation that supports selective hiring and worker commitment; these features are not usual in the nursing home sector. Thus despite many parallels with high-performance work systems, culture change work systems are missing essential elements: those that require higher compensation. If purchasers, including public payers, were willing to pay for customized, resident-centered care, productivity gains could be shared with workers, and the nursing home sector could move from a low-road to a high-road employment system.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 15%
Student > Master 13 15%
Researcher 10 12%
Student > Doctoral Student 7 8%
Other 6 7%
Other 19 22%
Unknown 18 21%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 17 20%
Psychology 10 12%
Social Sciences 10 12%
Business, Management and Accounting 8 9%
Medicine and Dentistry 7 8%
Other 15 17%
Unknown 19 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2014.
All research outputs
#28,639,288
of 34,410,315 outputs
Outputs from Gerontologist
#3,005
of 3,287 outputs
Outputs of similar age
#300,485
of 371,748 outputs
Outputs of similar age from Gerontologist
#26
of 34 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,287 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.