SynthesisHuman resources for health2022
An experience with the use of WISN tool to calculate staffing in a palliative care hospital in Brazil.
Synthesis in Human resources for health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Application of the WHO Workload Indicators of Staffing Need (WISN) method to estimate workforce requirements in Italian Local Health Unit Prevention Departments.BMC health services research · 2026Article
- Article
- A web-based platform for optimizing healthcare resource allocation and workload management using agile methodology and WISN theory.BMC health services research · 2025Article
- A Workload Indicators of Staffing Need (WISN) based framework and implementation tool for dietitians at South African central and tertiary public hospitals.BMC health services research · 2025Article
- Application of the workload indicators of staffing need (WISN) to assess dietetic workforce needs in South African central and tertiary public hospitals.Scientific reports · 2025Article
- Workload Indicators of Staffing Need (WISN) Method for Midwives Planning and Estimation at Asrade Zewude Memorial Primary Hospital, North west Ethiopia.Discover health systems · 2023Article
- Global experiences in health workforce policy, planning and management using the Workload Indicators of Staffing Need (WISN) method, and way forward.Human resources for health · 2022Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe article describes a healthcare staffing exercise that took place in a Cancer Hospital IV, Brazil's first public palliative care unit. There are numerous gaps in the literature on specialized cancer staffing. Palliative care is a therapy modality that should begin with the diagnosis of a chronic disease, at which point the personnel must be technically and numerically adequate, as well as well-distributed, to provide coverage of the population that requires this type of care.
methodsThe WISN tool was chosen after a systematic review of the use of workload studies in palliative care, because it fulfills this objective. The WISN method is based on a health worker's workload, was developed in the late 1990s in the health sector and has been field-tested and implemented in several countries. Direct observation was used as the fieldwork approach, which was carried out by 18 research assistants with the assistance of two supervisors. They monitored 60 professionals in seven categories for 2 weeks on weekdays in the morning and afternoon periods: nursing, pharmacy, physical therapy, medical, nutrition, psychology, and social services.
resultsExcept for the medical staff, which at the time included additional physicians on loan from a partner institution to address a shortage in this professional group, all categories exhibited overload with WISN ratios ranging from 0.53 to 0.97. The analysis of time spent on individual activities indicated flaws with the services' informal organizations. The authors also noticed a strong emphasis on support activities and a lack of a clear schedule for training and research. The study's findings included a definition of standard activities for each professional group, an analysis and comparison of activities by categories, departments, and work shifts, a standard workload for training and research, and recommendations to include human resources planning as a fundamental part of a national policy for palliative care.
conclusionsThe WISN tool can be used to plan human resources in cancer centers that provide palliative care, and it provides for a variety of analyses that can be combined with other approaches in the literature.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.