Nursing Assistant Staffing Model: Implementation and Outcome Evaluation in Taiwan Hospitals.

Background: A key policy of the Taiwan healthcare system is promoting the hiring of nursing assistants (NAs) to reduce the workload of nurses. However, few studies in the literature have compared the relative effectiveness of different nurse staffing policies, and no studies have addressed the impact of the NA staffing (NAS) model.

Purpose: This study explored the current status of the NAS model as implemented in Taiwan hospitals and to investigate the methods used to evaluate the outcomes of NAS model implementation.

Methods: A cross-sectional online survey was performed in hospitals nationwide from June 1 to December 31, 2018. There were 153 government-accredited hospitals being invited to participate in the survey.

Results: Of the 139 hospitals that completed the online survey, 26% (36 hospitals) had implemented the NAS model. Many of the hospitals had hired full-time, certified NAs. Most of the tasks assigned to NAs were in the nonprofessional/general and technical work categories. In addition, medical wards were the most frequently assigned workplace, especially on day shifts. Few of the surveyed hospitals had evaluated the effectiveness of the NAS model. Improvement after implementation of the NAS model (based on the 35 outcome indicators) was found to vary significantly. The most commonly used outcome indicator was patient satisfaction. All the stakeholders, including patients, family caregivers, nurses, and nurse supervisors, supported implementation of the NAS model. However, some of the participants expressed concerns regarding the difficulties involved with model implementation.

Conclusions/implications for practice: Although the NAS model may be beneficial, further empirical research is necessary to confirm the contributions of NAs. Additional evidence regarding the benefits of the NAS model for hospital performance and patient outcomes may be expected to motivate more hospital administrators to adopt this model.