Abstract

Extensive research has demonstrated the factors that influence burnout among social service employees, yet few studies have explored burnout among long-term care staff in Hawaii. This study aimed to examine the impact of job value, job maintenance, and social support on burnout of staff in long-term care settings in Hawaii, USA. This cross-sectional study included 170 long-term care staff, aged 20 to 75 years, in Hawaii. Hierarchical regression was employed to explore the relationships between the key independent variables and burnout. The results indicate that staff with a higher level of perceived job value, those who expressed a willingness to continue working in the same job, and those with strong social support from supervisors or peers are less likely to experience burnout. Interventions aimed at decreasing the level of burnout among long-term care staff in Hawaii may be more effective through culturally tailored programs aimed to increase the levels of job value, job maintenance, and social support.

Highlights

  • Maintenance, and Social Support onWith rapid population aging, the importance of long-term care is growing in most countries affiliated with the Organization for Economic Co-operation and Development (OECD)

  • Demographic characteristics of the sample and descriptive data of the following study variables are shown in Table 1: age, gender ratio, marital status ratio, educational level spectrum, average monthly income, the mean scores of job value, job maintenance, social support, and burnout level

  • The present study contributes toward an understanding of the effect of job value, job maintenance, and social support on burnout by examining the understudied group of long-term care staff in Hawaii

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Summary

Introduction

The importance of long-term care is growing in most countries affiliated with the Organization for Economic Co-operation and Development (OECD). In 2005, long-term care expenditures accounted for slightly more than 1% of the GDP of all OECD countries, but this number is expected to reach between 2% and 4%. Interest in long-term care is expected to grow even more. To respond to the increasing demand for long-term care, investment in policies to utilize the available labor force more efficiently is essential. This study addressed the issue of common method bias. In order to reduce common method bias, this study used two methods. By adding a time delay, thereby increasing temporality of the items, the study could reduce participants’ tendency to use previous answers to inform subsequent answers. The study reduced ambiguity by keeping questions as simple and specific as possible

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