Literature DB >> 11802639

The California experiment: alternatives for minimum nurse-to-patient ratios.

Jean Ann Seago1.   

Abstract

In making policy, it is ideal to study a problem, test solutions, and then implement the best solution. In California there is legislation regarding nurse staffing that requires implementation of a solution before the problem has been accurately stated and before alternative solutions have been tested. Assembly Bill 394 directs the California Department of Health Services to establish "minimum, specific, and numerical licensed nurse-to-patient ratios by licensed nurse classification and by hospital unit" and have these ratios in place January 1, 2002. This law is scheduled for implementation before there is specific evidence of optimal staffing levels for various patient populations. The author presents a comprehensive literature review of activities related to nurse staffing in the United States, provides data related to existing patient classification systems in California, and suggests an alternative to staffing ratios to protect consumers.

Entities:  

Mesh:

Year:  2002        PMID: 11802639     DOI: 10.1097/00005110-200201000-00012

Source DB:  PubMed          Journal:  J Nurs Adm        ISSN: 0002-0443            Impact factor:   1.737


  4 in total

1.  Engineering a learning healthcare system: using health information technology to develop an objective nurse staffing tool.

Authors:  Ellen M Harper
Journal:  NI 2012 (2012)       Date:  2012-06-23

2.  Patient turnover and nursing staff adequacy.

Authors:  Lynn Y Unruh; Myron D Fottler
Journal:  Health Serv Res       Date:  2006-04       Impact factor: 3.402

3.  Staffing level: a determinant of late-onset ventilator-associated pneumonia.

Authors:  Stéphane Hugonnet; Ilker Uçkay; Didier Pittet
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

4.  Capacity management of nursing staff as a vehicle for organizational improvement.

Authors:  Sylvia G Elkhuizen; Gert Bor; Marjolein Smeenk; Niek S Klazinga; Piet J M Bakker
Journal:  BMC Health Serv Res       Date:  2007-11-30       Impact factor: 2.655

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.