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J Hosp Med ; 14(8): 468-473, 2019 08 01.
Article in English | MEDLINE | ID: mdl-31112496

ABSTRACT

BACKGROUND: Bedside rounding involving both nurses and physicians has numerous benefits for patients and staff. However, precise quantitative data on the current extent of physician-nurse (MD-RN) overlap at the patient bedside are lacking. OBJECTIVE: This study aimed to examine the frequency of nurse and physician overlap at the patient beside and what factors affect this frequency. DESIGN: This is a prospective, observational study of time-motion data generated from wearable radio frequency identification (RFID)-based locator technology. SETTING: Single-institution academic hospital. MEASUREMENTS: The length of physician rounds, frequency of rounds that include nurses simultaneously at the bedside, and length of MD-RN overlap were measured and analyzed by ward, day of week, and distance between patient room and nursing station. RESULTS: A total of 739 MD rounding events were captured over 90 consecutive days. Of these events, 267 took place in single-bed patient rooms. The frequency of MD-RN overlap was 30.0%, and there was no statistical difference between the three wards studied. Overall, the average length of all MD rounds was 7.31 ± 0.58 minutes, but rounding involving a bedside nurse lasted longer than rounds with MDs alone (9.56 vs 5.68 minutes, P < .05). There was no difference in either the length of rounds or the frequency of MD-RN overlap between weekdays and weekends. Finally, patient rooms located farther away from the nursing station had a lower likelihood of MD-RN overlap (Pearson's r = -0.67, P < .05). CONCLUSION: RFID-based technology provides precise, automated, and high-throughput time-motion data to capture nurse and physician activity. At our institution, 30.0% of rounds involve a bedside nurse, highlighting a potential barrier to bedside interdisciplinary rounding.


Subject(s)
Nurses/statistics & numerical data , Patient Care Team/statistics & numerical data , Physicians/statistics & numerical data , Radio Frequency Identification Device/statistics & numerical data , Teaching Rounds , Academic Medical Centers , Female , Humans , Male , Patients' Rooms/statistics & numerical data , Prospective Studies
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