Literature DB >> 22037647

Registered nurse retention strategies in nursing homes: a two-factor perspective.

Selina R Hunt1, Janice C Probst, Kathlyn S Haddock, Robert Moran, Samuel L Baker, Ruth A Anderson, Kirsten Corazzini.   

Abstract

BACKGROUND: As the American population ages and the proportion of individuals over the age of 65 expands, the demand for high-quality nursing home care will increase. However, nursing workforce instability threatens care quality and sustainability in this sector. Despite increasing attention to nursing home staff turnover, far less is known about registered nurse (RN) retention.
PURPOSE: In this study, the relationships between retention strategies, employee benefits, features of the practice environment, and RN retention were explored. Further, the utility of Herzberg's two-factor theory of motivation as a framework for nursing home retention studies was evaluated.
METHODOLOGY: This study was a secondary analysis of the nationally representative 2004 National Nursing Home Survey. The final sample of 1,174 participating nursing homes were either certified by Medicare or Medicaid or licensed by state agencies. We used a weighted multinomial logistic regression using an incremental approach to model the relationships.
FINDINGS: Although most nursing homes offered some combination of retention programs, the majority of strategies did not have a significant association with the level of RN retention reported by facilities. Director of nursing tenure and other extrinsic factors had the strongest association with RN retention in adjusted analyses. PRACTICE IMPLICATIONS: To improve RN retention, organizations may benefit greatly from stabilizing nursing home leadership, especially the director of nursing position. Second, managers of facilities with poor retention may consider adding career ladders for advancement, awarding attendance, and improving employee benefits. As a behavioral outcome of motivation and satisfaction, retention was not explained as expected using Herzberg's two-factor theory.

Mesh:

Year:  2012        PMID: 22037647     DOI: 10.1097/HMR.0b013e3182352425

Source DB:  PubMed          Journal:  Health Care Manage Rev        ISSN: 0361-6274


  7 in total

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