TY - JOUR
T1 - Understanding the factors associated with nurse employment in clinics
T2 - Experiences in Taiwan
AU - Ma, Hsin
AU - Chiang, Shu Chiung
AU - Lin, Ming Hwai
AU - Chang, Hsiao Ting
AU - Ming, Jin Lain
AU - Chen, Tzeng-Ji
AU - Chen, Yu Chun
N1 - Publisher Copyright:
© 2024 Wolters Kluwer Health. All rights reserved.
PY - 2024/7/1
Y1 - 2024/7/1
N2 - Background: The shortage and distribution of nurses affect healthcare access in aging societies. Limited research has explored the nursing workforce in clinics, which is vital for healthcare delivery. This study aimed to investigate the shortage and distribution of nurses in clinics in Taiwan, considering geographical, institutional, and specialty variations. Methods: We conducted a cross-sectional analysis of the national nursing workforce in Western medicine clinics in Taiwan using open government data. The nursing practice rate (NPR) was calculated. The ratio of clinics employing nurses (RCN) was determined by calculating the percentage of clinics with nurses in each category. A logistic regression model was fitted to examine the factors associated with nurse employment, including urbanization level and different specialty clinics. Adjusted odds ratios (OR) and 95% CIs were calculated. Results: The study revealed an overall NPR as low as 59.1%, and a decreasing trend with age. Among the 11 706 clinics in the study, nearly a quarter did not employ nurses, with an overall RCN of 72.3%. Urbanization level and clinic specialty were associated with nurse employment (p < 0.05). After adjusting for urbanization level, the fitted regression model identified the top three specialties as plastic surgery (OR = 11.37, RCN = 96.8%), internal medicine (OR = 1.94, RCN = 84.1%), and orthopedics (OR = 1.89, RCN = 83.6%), while the bottom three were otolaryngology (OR = 0.59, RCN = 61.5%), psychiatry (OR = 0.49, RCN = 57.1%), and rehabilitation medicine (OR = 0.30, RCN = 45.2%). Nurses were more likely to be employed in areas at urbanization level 1 (OR = 1.17), 3 (OR = 1.37), and 6 (OR = 1.48), which represent highly urbanized areas within the urban, suburban, and rural categories, respectively, than in urbanization level 4. Conclusion: Clinics in Taiwan showed nursing shortages and maldistribution, with 72.3% RCN and variations based on urbanization and specialty. These factors may be considered in nursing research conducted in other countries to inform future workforce planning.
AB - Background: The shortage and distribution of nurses affect healthcare access in aging societies. Limited research has explored the nursing workforce in clinics, which is vital for healthcare delivery. This study aimed to investigate the shortage and distribution of nurses in clinics in Taiwan, considering geographical, institutional, and specialty variations. Methods: We conducted a cross-sectional analysis of the national nursing workforce in Western medicine clinics in Taiwan using open government data. The nursing practice rate (NPR) was calculated. The ratio of clinics employing nurses (RCN) was determined by calculating the percentage of clinics with nurses in each category. A logistic regression model was fitted to examine the factors associated with nurse employment, including urbanization level and different specialty clinics. Adjusted odds ratios (OR) and 95% CIs were calculated. Results: The study revealed an overall NPR as low as 59.1%, and a decreasing trend with age. Among the 11 706 clinics in the study, nearly a quarter did not employ nurses, with an overall RCN of 72.3%. Urbanization level and clinic specialty were associated with nurse employment (p < 0.05). After adjusting for urbanization level, the fitted regression model identified the top three specialties as plastic surgery (OR = 11.37, RCN = 96.8%), internal medicine (OR = 1.94, RCN = 84.1%), and orthopedics (OR = 1.89, RCN = 83.6%), while the bottom three were otolaryngology (OR = 0.59, RCN = 61.5%), psychiatry (OR = 0.49, RCN = 57.1%), and rehabilitation medicine (OR = 0.30, RCN = 45.2%). Nurses were more likely to be employed in areas at urbanization level 1 (OR = 1.17), 3 (OR = 1.37), and 6 (OR = 1.48), which represent highly urbanized areas within the urban, suburban, and rural categories, respectively, than in urbanization level 4. Conclusion: Clinics in Taiwan showed nursing shortages and maldistribution, with 72.3% RCN and variations based on urbanization and specialty. These factors may be considered in nursing research conducted in other countries to inform future workforce planning.
KW - Ambulatory care
KW - Health policy
KW - Health workforce
KW - Nursing
KW - Taiwan
UR - http://www.scopus.com/inward/record.url?scp=85197988612&partnerID=8YFLogxK
U2 - 10.1097/JCMA.0000000000001118
DO - 10.1097/JCMA.0000000000001118
M3 - Article
C2 - 38819144
AN - SCOPUS:85197988612
SN - 1726-4901
VL - 87
SP - 670
EP - 677
JO - Journal of the Chinese Medical Association
JF - Journal of the Chinese Medical Association
IS - 7
ER -