Revision of hospital work organization using nurse and healthcare assistant workload indicators as decision aid tools.

Background: Historically, governmental hospital organisation consisted in a heterogeneous distribution of staff and a fragmented logistical organisation without cross-functionality or sharing of resources between departments. This organisation could not last in a context of an evolving healthcare en...

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Published in:BMC Health Services Research Vol. 19; no. 1
Main Authors: Briatte, Isabelle, Allix-Béguec, Caroline, Garnier, Gérard, Michel, Mercédès
Format: Journal Article
Published: BioMed Central 8/7/2019
Online Access:View this record in EBSCOhost
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      dt: 8/7/2019
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      pub: BioMed Central
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        NLM31391052
        10.1186/s12913-019-4376-7
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        atl: Revision of hospital work organization using nurse and healthcare assistant workload indicators as decision aid tools.
      aug:
        au:
          Briatte, Isabelle
          Allix-Béguec, Caroline
          Garnier, Gérard
          Michel, Mercédès
        affil: Coordination générale des soins, Groupe Hospitalier de la Rochelle Ré Aunis, CH La Rochelle, rue du Dr Schweitzer, 17019, La Rochelle, France
      sug:
        subj:
          Quality Improvement Administration
          Hospitals
          Pregnancy
          Female
          Health Facility Administration
          Decision Support Techniques
          Cost Benefit Analysis
          Prospective Studies
          Clinical Assessment Tools
          Ferrans and Powers Quality of Life Index
          Scales
          Short Portable Mental Status Questionnaire
          Female
      ab: Background: Historically, governmental hospital organisation consisted in a heterogeneous distribution of staff and a fragmented logistical organisation without cross-functionality or sharing of resources between departments. This organisation could not last in a context of an evolving healthcare environment, changing patient profiles and hospital expenditure constraints. Cost-effective workforce regulation for optimal patient quality of care was urgently needed. The purpose of the study was to describe the reorganization that led to resource management no longer based on what has been achieved but based on a daily measured workload.Methods: This prospective study used nursing intensity indicator, mirroring patient care needs, which was reported daily using VALPAReSO® software. Indirect care activities were recorded in departments of medicine, surgery and obstetrics. Based on data collected in 2012, a new organisation strategy was implemented and evaluated in 2015.Results: Nursing intensity indicator analysis led to a reallocation of workforce per department, and the reinforcement unit (float pool) was managed based on this decision-aid tool for replacement and daily adequate staffing. The healthcare workflow audit resulted in the revision of five working tasks: time spent on handover, working time management, connections between services and the pharmacy, housekeeping, and food management. The reorganization took place at the same time as the transition to the development of very short-term care, resulting in a decrease in the number of full inpatient beds, which were therefore mainly occupied by heavier care profile patients. With the integrated strategy, this transition was achieved with constant staffing, and good overall patient satisfaction and working conditions were maintained.Conclusion: The reorganisation strategy was managed in a context of institutional commitment, coaching leadership built on close manager-employee interaction, a defragmented management between healthcare and all service providers, and a seamlessly dissemination and sharing of indicator information between healthcare managers, nurses and healthcare assistants. The process optimization allowed a better allocation of tasks and enabled nurses to refocus on patient care. Nursing intensity and indirect care indicators, when widely accepted, can be used as decision support tools for daily adequate staffing.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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