ArticleDiscover health systems2023
Workload Indicators of Staffing Need (WISN) Method for Midwives Planning and Estimation at Asrade Zewude Memorial Primary Hospital, North west Ethiopia.
Article in Discover health systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- 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
- Workload Assessment of Technical Staff in a Clinical Laboratory in South India.F1000Research · 2024Article
- One size does not fit all: an application of stochastic modeling to estimating primary healthcare needs in Ethiopia at the sub-national level.BMC health services research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Workforce is a crucial component of the health service delivery system. Ethiopia faces health workforce challenges when it comes to evidence based health workforce planning.Workforce planning was initially determined by comparing the health worker ratio to the general population number. Later, it was determined by standard staffing schedules for each health facility level. However, neither of these methods addressed the evidence based workload variation issue among the same level facilities all around the country. A workload indicator of staff needs (WISN) method can address these variations. Therefore this research was carried on to determine workload pressure excess or gap in midwives, thereby to promote the WISN use in health facilities, based on WISN results of midwives at Asrade Zewude memorial Hospital. Methods: A cross sectional study using WISN model was used to determine the workload excess and gap pressure in midwives at Asrade Zewude Memorial primary hospital, North West Ethiopia. Midwives were selected based on a priority point scale as outlined in the WISN method. Results: According to the data obtained, midwives worked five days a week and 1030 h per year. This working time was spent on health service activities (58.4%), additional activities (36.6%) and support activities (5%). WISN calculations demonstrated a shortage of five midwives with WISN ratio of 0.8 at Asrade Zewude Memorial primary hospital North West Ethiopia. Conclusion: Midwives at the study area were carrying on their routine tasks even though there was a staff gap of 5: thus, the midwives had a workload excess of 20%. Under these conditions, it may be hard for the facility to achieve universal health service goals. Therefore the hospital should institutionalize WISN method planning to objectively employ midwifery professionals. This study had limitations too as it used retrospective annual service statistics and small sample size which affects generalization of the results to other health facilities and other health worker cadres within the study hospital.
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.