Workload Indicators of staffing need (WISN)

The health workforce is the fulcrum on which health system performance relies. Human resources for health as a strategic area of focus is crucial to affordable, accessible and high-quality health services. The ability of a country to meet its health commitments and goals largely depends on the number, skills, competencies and availability of health workers, and on whether those workers are organized and equitably distributed to deliver integrated, people-centred health services. The health workforce is essential to achieving universal health coverage and the Sustainable Development Goals, especially Indicator 3.c.1, which relates to ”health workforce density and distribution” and improved data on human resources for health.

Health service managers around the world face increasing HRH challenges, such as:

  • inadequate resources to respond to the populations’ demand for services;
  • the distribution of human resources being generally poorly balanced between urban and rural areas, and between primary, secondary and tertiary levels of care;
  • inefficiencies due to uncoordinated HRH practices from various stakeholders; and
  • weak HRH coordination mechanisms and weak human resources for health information systems.

The Workload Indicators of Staffing Need (WISN) method is based on a health worker’s workload, with activity (time) standards applied for each workload component. This principle has long been used in business but was not employed in the health sector until the late 1990s, when the WISN method was field tested and used in several countries. 

NEW WISN Manual

Workload Indicators of Staffing Need (WISN) User Manual, 2nd edition
This manual is a revision of an earlier Workload Indicators of Staffing Need (WISN) user manual, which was prepared by Peter Shipp and published by WHO...

Access the WISN Tool

Please visit the community of practice (self-registration) to access the software tool.

WISN implementation groups and their roles

Workload Indicators of Staffing Need (WISN) process infographic
World Health Organization
Workload Indicators of Staffing Need (WISN) process infographic
© Credits

WISN methodology infographic

Workload Indicators of Staffing Need (WISN) methodology infographic
World Health Organization
Workload Indicators of Staffing Need (WISN) methodology infographic
© Credits

Publications

Workload Indicators of Staffing Need (WISN) User Manual, 2nd edition

The health workforce is the fulcrum on which health system performance relies. Human resources for health (HRH) is crucial to affordable, accessible and...

Applying the WISN method in practice: case studies from Indonesia, Mozambique and Uganda

This document, which complements the revised Workload indicators of staffing need (WISN): user’s manual, provides examples of how the WISN method...

Workload indicators of staffing need (WISN): selected country implementation experiences

Since the launch of the computerised version of the Workload Indicators of Staffing Need (WISN) tool in 2010, many countries have implemented WISN studies...

Countries' experiences on implementing WISN methodology for health workforce planning and estimation

Publication of this Human Resources for Health journal supplement was supported by the World Health Organization (WHO). Articles have undergone the journal's standard peer review process for supplements.

HRH Journal WISN article cover: global experiences

Countries that have been planning for health workforce using simple population ratios and health worker density benchmarks, realize that these traditional...

A major human resources for health challenge for Nigeria is ensuring the availability and retention of adequate competent health workers in the right mix...

HRH Journal WISN article cover: workload assessment

A shortage in human resources, particularly physicians, has become a challenge confronting health authorities in the Duhok governorate, as these resources...

HRH Journal WISN article cover: determining staffing

Health services cannot be delivered without an adequate, competent health workforce. Evidence suggests a direct relationship between density of health...