Key Factors for Enhancing Home Care Workers’ Intention to Stay by Multiple-Criteria Decision Analysis
The ageing population is increasing rapidly in Taiwan, where the ageing rate exceeds even that of Japan, the United States and France. The increase in the disabled population and the impact of the COVID-19 pandemic have resulted in an increase in the demand for long-term professional care, and the s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/11/5/750 |
| _version_ | 1797615339672961024 |
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| author | Wei Hsu Fang-Ping Shih |
| author_facet | Wei Hsu Fang-Ping Shih |
| author_sort | Wei Hsu |
| collection | DOAJ |
| description | The ageing population is increasing rapidly in Taiwan, where the ageing rate exceeds even that of Japan, the United States and France. The increase in the disabled population and the impact of the COVID-19 pandemic have resulted in an increase in the demand for long-term professional care, and the shortage of home care workers is one of the most important issues in the development of such care. This study explores the key factors that promote the retention of home care workers through multiple-criteria decision making (MCDM) to help managers of long-term care institutions retain home care talent. A hybrid model of multiple-criteria decision analysis (MCDA) combining Decision-Making Trial and Evaluation Laboratory (DEMATEL) and the analytic network process (ANP) was employed for relative analysis. Through literature discussion and interviews with experts, all factors that promote the retention and desire of home care workers were collected, and a hierarchical MCDM structure was constructed. Then, the hybrid MCDM model of DEMATEL and the ANP was used to analyze the questionnaire data of seven experts to evaluate the factor weights. According to the study results, the key direct factors are improving job satisfaction, supervisor leadership ability and respect, while salary and benefits are the indirect factor. This study uses the MCDA research method and establishes a framework by analyzing the facets and criteria of different factors to promote the retention of home care workers. The results will enable institutions to formulate relevant approaches to the key factors that promote the retention of domestic service personnel and to strengthen the intention of Taiwan’s home care workers to stay in the long-term care industry. |
| first_indexed | 2024-03-11T07:23:57Z |
| format | Article |
| id | doaj.art-cf83bea630094ed5a9bd9f683e4cb8d3 |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-11T07:23:57Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-cf83bea630094ed5a9bd9f683e4cb8d32023-11-17T07:44:03ZengMDPI AGHealthcare2227-90322023-03-0111575010.3390/healthcare11050750Key Factors for Enhancing Home Care Workers’ Intention to Stay by Multiple-Criteria Decision AnalysisWei Hsu0Fang-Ping Shih1Department of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei 112303, TaiwanDepartment of Human Resources—Personnel Section, Koo Foundation Sun Yat-Sen Cancer Center, Taipei 11259, TaiwanThe ageing population is increasing rapidly in Taiwan, where the ageing rate exceeds even that of Japan, the United States and France. The increase in the disabled population and the impact of the COVID-19 pandemic have resulted in an increase in the demand for long-term professional care, and the shortage of home care workers is one of the most important issues in the development of such care. This study explores the key factors that promote the retention of home care workers through multiple-criteria decision making (MCDM) to help managers of long-term care institutions retain home care talent. A hybrid model of multiple-criteria decision analysis (MCDA) combining Decision-Making Trial and Evaluation Laboratory (DEMATEL) and the analytic network process (ANP) was employed for relative analysis. Through literature discussion and interviews with experts, all factors that promote the retention and desire of home care workers were collected, and a hierarchical MCDM structure was constructed. Then, the hybrid MCDM model of DEMATEL and the ANP was used to analyze the questionnaire data of seven experts to evaluate the factor weights. According to the study results, the key direct factors are improving job satisfaction, supervisor leadership ability and respect, while salary and benefits are the indirect factor. This study uses the MCDA research method and establishes a framework by analyzing the facets and criteria of different factors to promote the retention of home care workers. The results will enable institutions to formulate relevant approaches to the key factors that promote the retention of domestic service personnel and to strengthen the intention of Taiwan’s home care workers to stay in the long-term care industry.https://www.mdpi.com/2227-9032/11/5/750home care workersintention to staymultiple-criteria decision analysis (MCDA)decision-making trial and evaluation laboratory (DEMATEL)analytic network process (ANP) |
| spellingShingle | Wei Hsu Fang-Ping Shih Key Factors for Enhancing Home Care Workers’ Intention to Stay by Multiple-Criteria Decision Analysis Healthcare home care workers intention to stay multiple-criteria decision analysis (MCDA) decision-making trial and evaluation laboratory (DEMATEL) analytic network process (ANP) |
| title | Key Factors for Enhancing Home Care Workers’ Intention to Stay by Multiple-Criteria Decision Analysis |
| title_full | Key Factors for Enhancing Home Care Workers’ Intention to Stay by Multiple-Criteria Decision Analysis |
| title_fullStr | Key Factors for Enhancing Home Care Workers’ Intention to Stay by Multiple-Criteria Decision Analysis |
| title_full_unstemmed | Key Factors for Enhancing Home Care Workers’ Intention to Stay by Multiple-Criteria Decision Analysis |
| title_short | Key Factors for Enhancing Home Care Workers’ Intention to Stay by Multiple-Criteria Decision Analysis |
| title_sort | key factors for enhancing home care workers intention to stay by multiple criteria decision analysis |
| topic | home care workers intention to stay multiple-criteria decision analysis (MCDA) decision-making trial and evaluation laboratory (DEMATEL) analytic network process (ANP) |
| url | https://www.mdpi.com/2227-9032/11/5/750 |
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