Nursing manpower forecast for cancer patients
| Autor: | Hui Fen Fang, Kuo Chen Hung, Jeng Fong Chiou, Min Huey Chung, Chih Hao Chiu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Nursing staff
media_common.quotation_subject Taiwan Health Informatics 030218 nuclear medicine & medical imaging 03 medical and health sciences Nursing care 0302 clinical medicine Nursing Neoplasms Physicians Health care Humans Quality (business) media_common Manpower planning Flexibility (engineering) Government business.industry Health insurance database Computer Science Applications Workforce Nursing Staff business 030217 neurology & neurosurgery Software Forecasting |
| Zdroj: | Computer methods and programs in biomedicine. 201 |
| ISSN: | 1872-7565 |
| Popis: | Background and objectives This paper presents a dynamic model aimed at predicting nursing manpower requirements for cancer care over the next ten years. The proposed model, based on the Taiwan Health Insurance Database (2000 to 2010), is meant to serve as a reference in establishing policy for government health units. Methods The proposed prediction model uses fuzzy sets to replace definite values with interval values in order to account for uncertainties in real-world data and enhance the flexibility of prediction results. Results Our results suggest that the demand for nursing manpower for cancer care will grow steadily in the foreseeable future. The gap between the demand for nursing staff and the supply is expected to peak in 2027. By then, the number of oncologists is expected to reach 7,083 (54.32% of the total number of in-hospital physicians), but the number of oncology nurses will be less than 26,297 (56.5% of the total healthcare manpower). It is also expected that there will be fewer than 1,613 outpatient physicians (71.81% of the total number of physicians) and fewer than 4,967 outpatient nurses (68.46% of the total nursing manpower). Conclusions This paper provides a valuable reference for government agencies involved in the nursing manpower planning to improve the quality of nursing care. |
| Databáze: | OpenAIRE |
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