A study on the predictability of midwifery workforce demand in Yunnan province
Nan Zhou, Minghui Yang, Jie Li, Xiu Zhu, Rui Hou, Lihua Ren, Hong Lu
Published 2019-02-02
Cite as Chin J Hosp Admin, 2019, 35(2): 110-113. DOI: 10.3760/cma.j.issn.1000-6672.2019.02.005
Abstract
ObjectiveTo evaluate the demand for midwives in Yunnan province utilizing Birthrate Plus for planning and development of such workforce.
MethodsA convenient sample method was used to investigate 8 435 maternal cases at 9 hospitals in Yunnan province in four months from 9-12 in 2017, and Birthrate Plus was used to calculate the demand for midwifery at each hospital. We also analyzed the two core elements of Birthrate Plus- maternal category allocation and midwife hours of each hospital.
ResultsMaternal cases fall into five categories and maternal category allocation in hospitals is roughly the same; Maternal in higher category tended to need longer midwife hours; the average birthrate of 9 hospitals was (194.22±44.84)case/(year·midwife). The number of midwives in two tertiary hospitals is obviously insufficient. Midwives at 7 secondary hospitals are more than predicted.
ConclusionsMidwives in Yunnan are generally faced with a large workload, especially at secondary hospitals, and midwives need to bear numerous non-midwifery workload beyond Birthrate Plus. Therefore, the Birthrate Plus can reflect the midwifery workload scientifically and reasonably in the current situation of midwifery work. But the predication for midwifery workforce requires a study of the ratio of midwifery work in the entire clinical work of the hospital.
Key words:
Health manpower; Midwife; Demand forecast; Birthrate Plus; Yunnan
Contributor Information
Nan Zhou
School of Nursing, Peking University, Beijing 100191, China
Minghui Yang
Department of Gynaecology and Obstetrics, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
Jie Li
School of Nursing, Peking University, Beijing 100191, China
Xiu Zhu
School of Nursing, Peking University, Beijing 100191, China
Rui Hou
School of Nursing, Peking University, Beijing 100191, China
Lihua Ren
School of Nursing, Peking University, Beijing 100191, China
Hong Lu
School of Nursing, Peking University, Beijing 100191, China