Evidence map›Paper›PMID 30815493›Full record

ArticleJournal of education and health promotion2019

An investigation on workload indicator of staffing need: A scoping review.

Farzaneh Doosty, Mohammad R Maleki, Mohammad H Yarmohammadian

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of education and health promotion, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Farzaneh DoostyHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mohammad R MalekiStudent Research Committiee, Iran University of Medical Sciences, Tehran, Iran.
Mohammad H YarmohammadianHealth Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Iran University of Medical Sciences · IRIsfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this scoping review was to survey the most recent (10 years) estimating of needed human resource in health-care organization by Workload Indicators of Staffing Need (WISN) method literature to understand themes and research avenues that may be helpful and beneficial to estimating of needed staff in health-care organizations. Our search strategy was based on using search engines such as Medline, Google Scholar, Scopus, and PubMed as well publications such as Elsevier, Emerald, ProQuest, and Springer. Finally, 31 articles extract for scoping review. Scoping review findings emerge in four key points that mentioned as follow: Service delivery time, Geographical features, Workload, and Supply and Demand. Furthermore, the strengths and weakness of WISN extracted from literature. As conclusion, the WISN method is applicable to any health-care organization, and of course, in smaller institutions, it can be done more quickly and efficiently. Where shortages of staff were identified using WISN, and if increasing the number of employees was impossible, we could use the task shifting. WISN can be used to calculate the required human resources for future models based on some assumptions such as the results of staff training, demographic changes, and disease profiles and staff turnover.

Indexed as

health-care centersHealth staffhospitalsworkload estimationworkload indicator of staffing need

Identifiers

PMID30815493
PMCPMC6378811
OpenAlexW2920819370

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.