ArticlePrimary health care research & development2025
Survey protocol: implementing Workload Indicators of Staffing Need in Iranian primary healthcare services.
Article in Primary health care research & development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
aimThe primary objective of this study is to assess the workload situation within Iran's primary healthcare (PHC) sector, with an emphasis on identifying workforce needs and ascertaining any existing shortages or surpluses.
backgroundOver the past four decades, the establishment of PHC in Iran has been a significant accomplishment for the country's healthcare system. Iran places substantial importance on achieving universal health coverage through PHC, aligning with global health goals, and acknowledging the critical role of human resources in this context. This commitment has enabled widespread and inclusive access to PHC services for both urban and rural populations across the nation. The primary objective of this study is to assess the workload situation within Iran's PHC sector, with an emphasis on identifying workforce needs and ascertaining any existing shortages or surpluses.
methodsIn 2023, a retrospective cross-sectional survey in Iran's PHC sector sampled 1,212 individuals from 557 units across seven districts. Units were selected based on predetermined criteria for proportional representation of eligible occupational groups. Data was collected using tailored electronic questionnaires, covering facility and individual characteristics, working time, activities, and support tasks. Shortages or surpluses were assessed using Workload Indicators of Staffing Need (WISN) ratios under various scenarios, utilizing data from 2022 registration systems. Adjusted time data-informed workload pressure calculations.
findingsCustomizing the WISN protocol to each country's context is crucial, involving stakeholders in study design, including sample selection and data collection methods. Contextual facility information aids analysis, necessitating standardized data collection approaches for diverse registration systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.