Going Beyond Patient Classification Systems to Create an Evidence-based Staffing Methodology
Overview
Affiliations
The Department of Veterans Affairs developed a nationally standardized nurse staffing methodology, using an evidence-based process. We present an overview, linking an integrative review of recent literature on patient classification systems, interdisciplinary expert panel consultation, operational feasibility assessment, and frontline manager involvement. This resulted in 7 candidate indicators for inclusion in unit-specific staffing models. Adaptable to all healthcare settings, this process goes beyond traditional patient classification systems.
Defining adequacy of staffing in general hospital wards: a Delphi study.
van der Mark C, Kraan J, Hendriks P, Vermeulen H, Oostveen C BMJ Open. 2022; 12(8):e058403.
PMID: 35918122 PMC: 9351332. DOI: 10.1136/bmjopen-2021-058403.
The effect of data aggregation on estimations of nurse staffing and patient outcomes.
Winter S, Bartel A, de Cordova P, Needleman J, Schmitt S, Stone P Health Serv Res. 2021; 56(6):1262-1270.
PMID: 34378181 PMC: 8586488. DOI: 10.1111/1475-6773.13866.
van der Mark C, Vermeulen H, Hendriks P, Oostveen C BMJ Open. 2021; 11(4):e045245.
PMID: 33879488 PMC: 8061817. DOI: 10.1136/bmjopen-2020-045245.
Porcel-Galvez A, Barrientos-Trigo S, Fernandez-Garcia E, Allande-Cusso R, Quinoz-Gallardo M, Morales-Asencio J Int J Environ Res Public Health. 2020; 17(22).
PMID: 33212889 PMC: 7698435. DOI: 10.3390/ijerph17228511.
Griffiths P, Saville C, Ball J, Jones J, Pattison N, Monks T Int J Nurs Stud. 2019; 103:103487.
PMID: 31884330 PMC: 7086229. DOI: 10.1016/j.ijnurstu.2019.103487.