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Patient severity matters for night-shift workload for internal medicine residents in Taiwan

Overview of attention for article published in BMC Health Services Research, December 2014
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Title
Patient severity matters for night-shift workload for internal medicine residents in Taiwan
Published in
BMC Health Services Research, December 2014
DOI 10.1186/s12913-014-0587-0
Pubmed ID
Authors

Nin-Chieh Hsu, Ming-Chin Yang, Ray-E Chang, Wen-Je Ko

Abstract

BackgroundAlthough work hour is an important factors for resident workload, other contributing factors, such as patient severity, with regards to resident workload have been scarcely studied.MethodsA prospective observational cohort study was conducted in a general medicine unit in an academic medical center in Taiwan. Every event for which the nurses needed to call the on-call residents was recorded. To quantify the workload, the responses of on-duty residents to calls were analyzed. To allow comparisons of patient factors to be made, we classified all patients by assigning them stable, unstable, or do-not-resuscitate (DNR) codes. The reasons for the calls were categorized to facilitate the comparisons across these three groups.ResultsFrom October 2009 to September 2011, a total of 2,518 patients were admitted to the general medicine unit. The nurses recorded a total of 847 calls from 730 call nights, ranging from 0 to 7 per night. Two peaks of calls, at 0-2 am and 6-7 am, were noted. Calls from stable, unstable, and DNR patients were 442 (52.2%), 95 (11.2%), and 298 (35.2%), respectively. For both unstable and DNR patients, the leading reason was abnormal vital signs (62.1% and 67.1%, respectively), while only 36.2% for stable patients. Both unstable and DNR patients required more bedside evaluation and management compared to stable patients.ConclusionBeyond work hours and patient census, patients with different clinical severity and palliative goal produce different workload for on-call residents.

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Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 15%
Unspecified 4 12%
Student > Master 4 12%
Researcher 3 9%
Student > Ph. D. Student 3 9%
Other 8 24%
Unknown 7 21%
Readers by discipline Count As %
Medicine and Dentistry 12 35%
Nursing and Health Professions 5 15%
Unspecified 4 12%
Business, Management and Accounting 2 6%
Linguistics 1 3%
Other 2 6%
Unknown 8 24%