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Job Quality and Job Separation of Direct Care Workers in England.
Vadean, Florin; Saloniki, Eirini-Christina.
Afiliação
  • Vadean F; Personal Social Services Research Unit (PSSRU), University of Kent, Canterbury, UK.
  • Saloniki EC; Global Labor Organization (GLO), Essen, Germany.
Innov Aging ; 7(2): igad009, 2023.
Article em En | MEDLINE | ID: mdl-36941889
ABSTRACT
Background and

Objectives:

Most job leavers in the long-term care (LTC) sector in England do not leave the sector, but rather move to other LTC employers. Nevertheless, the high "churn" can have a negative impact on continuity and quality of care, care providers' recruitment and training costs, and the remaining staff workload and motivation. This study aimed to provide quantitative evidence on the drivers of direct care workers' job separation in England, with a focus on job quality. Research Design and

Methods:

We used yearly data (2016-19) from the Adult Social Care Workforce Data Set, the leading source of LTC workforce data in England, including information on both LTC workers and employers. The analysis considered panel data econometric methods that accounted for unobserved heterogeneity at worker and employer levels.

Results:

After controlling for observed individual, organizational, and local market characteristics as well as unobserved worker and employer heterogeneity, we found that everything else being equal, wages and employment conditions (i.e., full-time contracts and contracts with guaranteed working hours) significantly reduce job separation. For example, a 10% wage increase from the sample mean would reduce the job separation rate by about 3 percentage points. This wage effect was more than halved (i.e., downward biased) when not accounting for unobserved effects. Discussion and Implications The persistent high staff turnover in LTC in England highlights the need for finding practical solutions faced by care providers and policy-makers. Our findings showed that improving pay and employment conditions can be the way forward while methodologically stressing the importance of accounting for unobserved variable bias.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Innov Aging Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Innov Aging Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido