“More is not always better”: Park's sweet spot theory‐driven implementation strategy for viable optimal safe nurse staffing policy in practice-Reference-Cited by-同舟云学术

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“More is not always better”: Park's sweet spot theory‐driven implementation strategy for viable optimal safe nurse staffing policy in practice

Published:2022-07-11 Issue: Volume: Page:
ISSN:0020-8132
Container-title:International Nursing Review
language:en
Short-container-title:International Nursing Review

Author:

Park Claire Su‐Yeon¹²³^ORCID

Affiliation:

1. Doctoral Student University of Alberta Faculty of Nursing Edmonton Canada

2. CEO Center for Econometric Optimization in the Nursing Workforce Seoul Republic of Korea

3. Principal, “SECURE Team For You” (SweEt spot ConsUlting REsearch Team For the next generation, You) Seoul Republic of Korea

Publisher

Wiley

Subject

General Nursing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/inr.12785

Reference49 articles.

1. Analysis of a government policy to address nursing shortage and nursing education quality

2. Consensus Development Project (CDP): An overview of staffing for safe and effective nursing care

3. Discovering the Truth Beyond the Truth

4. Should Governments Invest More in Nudging?

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1. Demand Forecasting of Nurse Talents in China Based on the Gray GM (1,1) Model: Model Development Study;Asian/Pacific Island Nursing Journal;2024-08-14

2. Midwifery practice in Mongolia: Policy implications for accelerating care delivery transformation;European Journal of Midwifery;2024-06-03

3. On the Association Between Demographic Structural Change and the Effectiveness of Nurse Staffing Policy for Inpatient Care: Evidence from Taiwan;Risk Management and Healthcare Policy;2024-06

4. Examining the experiences of mid-career nurses in hospitals: a phenomenological study;Contemporary Nurse;2024-05-31

5. Ward‐Specific Probabilistic Patterns in Temporal Dynamics of Nursing Demand in Japanese Large University Hospital: Implication for Forecasting and Resource Allocation;Journal of Nursing Management;2024-01

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