Employment and Retention of Retired Nurses in Senior Care Settings: A Pre-COVID-19 Scoping Review

Authors

  • Lalita Kaewwilai Department of Public Health Nursing, Faculty of Public Health, Mahidol University, Thailand, Email, lalita.kae@mahidol.ac.th
  • Wonpen Kaewpan Department of Public Health Nursing, Faculty of Public Health, Mahidol University, Thailand, Email, wonpen.kae@mahidol.ac.th
  • Kunwadee Rojpaisarnkit Department of Public Health, Faculty of Science and Technology, Rajabhat Rajanagarindra University, Chachoengsao, Thailand, Email, kunwadee85@hotmail.com
  • Thapanut Kaewpan Faculty of Industrial Technology, Rajabhat Rajanagarindra University, Chachoengsao, Thailand, Email, thapanut127@gmail.com

Keywords:

Post-retirement, Retired nurses, Nurse retention, Senior care setting, Aging workforce

Abstract

Background: Global nursing shortages and a rapidly aging workforce have heightened interest in re-engaging retired nurses to support health systems. Retired nurses bring accumulated clinical expertise that may help address staffing challenges in senior care settings. This review maps          pre-pandemic evidence on employment models, working conditions, and retention relevant to nurses in senior care settings. Objectives: To map post-retirement employment models for nurses, identify factors influencing employment and retention in senior care settings, and propose implications for policy and practice with relevance to the Thai healthcare context. Methods: A scoping review was conducted following JBI methodology. Studies of any design published in English or Thai between January 2011 and October 2021 were eligible. The PCC framework (Population: retired and older nurses; Concept: employment and retention; Context: senior care settings) guided study selection. CINAHL, PubMed, SCOPUS, ClinicalKey for Nursing, Google Scholar, and the Thai Citation Index (TCI) were searched. Data were extracted by two reviewers and synthesized thematically. Results: Thirteen studies were included from 7,445 records retrieved. Designs comprised cross-sectional surveys (n = 8), qualitative studies (n = 3), and secondary data analyses (n = 2). Findings were synthesised across six thematic areas: employment models and competency areas; factors influencing job retention; factors affecting job turnover; factors influencing retirement decisions; work-life balance; and job satisfaction. Income stability and pay satisfaction, supportive supervisory and leadership practices, and management of physical workload were the retention factors most often supported when tested alongside competing predictors, whereas autonomy and scheduling flexibility less often retained independent effects. Conclusions: Experienced nurses are leaving the profession or their employers for organizationally modifiable reasons: physical workload, staffing adequacy, and income instability. Policymakers and healthcare organizations should consider tiered roles matched to physical capacity, stable employment conditions, and supportive supervision. Primary research on post-retirement employment models in Thailand and other middle-income countries is needed, as is evidence on post-pandemic employment patterns.

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Published

2026-08-26