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How hospitals view unit-level nurse turnover data collection: analysis of a hospital survey
1Author Affiliations: Assistant Professor (Dr Park), School of Nursing, University of Kansas Medical Center, Kansas City; Professor (Dr Boyle), Fay W. Whitney School of Nursing, University of Wyoming, Laramie.
Objective:
The objectives of this study were to examine the quality of unit-level nurse turnover data collection among the National Database of Nursing Quality Indicators hospitals and to identify the burdens of collecting such data.
Background:
Tracking and managing nurse turnover at the unit level are critical for administrators who determine managerial strategies. Little is known about the quality of and burdens of unit-level turnover data collection.
Methods:
Surveys from 178 hospitals were analyzed descriptively.
Results:
Most hospitals strongly agreed or agreed with the quality of unit-level turnover data collection. Hospitals identified the burdens of additional time and resources needed for unit-level turnover data collection and the difficulty of obtaining specific reasons for turnover.
Conclusions:
Collecting unit-level nurse turnover data can be important and useful for administrators to improve nurse retention, workforce stability, and quality of care. We suggest that the advantages of unit-level nurse turnover data and reports can overcome the identified burdens.
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