Literature DB >> 8796475

A computer-aided comparative study of progressive alertness changes in nurses working two different night-shift rotas.

J Dingley1.   

Abstract

Two groups of nurses were investigated during the course of two different types of night-shift rota. The purpose was to define, if possible, the optimum shift pattern for hospital night staff. The mental alertness of two groups of nurses was assessed, both subjectively and objectively, at the beginning and end of each night-shift of a set of nights being worked. Alertness was assessed subjectively by means of a visual analogue scale, and objectively by means of a computer generated test, the unprepared simple reaction time task. One group worked permanent nights and the other rapidly rotating nights. Subjectively the nurses felt they were more alert at the beginning than at the end of a night-shift, and also at the beginning of a span of nights than at the end. With computer testing, performance was broadly worse at the beginning of a shift than at the end. It was worse at the beginning of a span of nights, improving to a peak at around the fourth day, and then in the case of permanent nights, remaining about the same or deteriorating slightly towards the end of the span. The improvement by day 4 could be a practice effect or it may be that it takes this long to adjust to the new pattern of working as some authors have described. Debate centres around whether nurses should cease working nights just as they have become accustomed to them as in the rapid rotation, or continue for longer to gain benefit from this acclimatization as in permanent nights.

Mesh:

Year:  1996        PMID: 8796475     DOI: 10.1046/j.1365-2648.1996.13024.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  1 in total

1.  Rotating night shifts too quickly may cause anxiety and decreased attentional performance, and impact prolactin levels during the subsequent day: a case control study.

Authors:  Yu-San Chang; Hsiang-Lan Chen; Yu-Hsuan Wu; Chung-Yao Hsu; Ching-Kuan Liu; Chin Hsu
Journal:  BMC Psychiatry       Date:  2014-08-05       Impact factor: 3.630

  1 in total

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