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Mapping and Characterizing Instruments for Assessing Family Nurses' Workload: Scoping Review
António Dias1,2, Beatriz Araújo2, Élvio Jesus2
1Unidade de Saúde Familiar Saúde no Futuro, Unidade Local de Saúde Gaia e Espinho, 4400-043 Vila Nova de Gaia, Portugal.
Assessing family nurse workload is crucial for improving care and professional well-being. This scoping review identified ten instruments, but a lack of consensus hinders accurate workload measurement in family health nursing.
Area of Science:
- Nursing Science
- Healthcare Management
Background:
- Understanding family nurse workload is vital for enhancing health outcomes and care processes.
- Current research lacks comprehensive descriptions of nursing workload in primary care, specifically family health nursing.
- There is a need to identify ideal metrics for characterizing the global workload of family nurses.
Purpose of the Study:
- To conduct a scoping review mapping existing evidence on family nurse workload assessment.
- To characterize the instruments currently used to evaluate the workload of family nurses.
Main Methods:
- A scoping review methodology was employed, following the Joanna Briggs Institute guidelines.
- Research involved three stages: initial database searches (Medline, CINHAL), extended searches (JBI, CINAHL Complete, MEDLINE, Cochrane, Scopus), and reference list reviews.
- No defined time limit was set for the literature search.
Main Results:
- Fourteen studies were included in the review, referencing ten distinct assessment instruments.
- Nine instruments assessed workload as a component of a broader evaluation tool.
- Two instruments were specifically designed to measure workload exclusively.
Conclusions:
- The diversity in professional roles, complex nature of workload, and absence of a unified theoretical framework impede the development of consensus instruments for family nurse workload assessment.
- Further research is needed to establish standardized and validated tools for measuring family nurse workload.
- This study was prospectively registered with the Open Science Framework (registration number: 3k6vr).
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