Evidence map›Paper›PMID 36833641›Full record

ArticleInternational journal of environmental research and public health2023

Methods and Tools Used to Estimate the Shortages of Medical Staff in European Countries-Scoping Review.

Kamila Parzonka, Costase Ndayishimiye, Alicja Domagała

Abstract readScoping Review
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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.

Kamila ParzonkaDoctoral School of Medical and Health Sciences, Jagiellonian University Medical College, 31-008 Krakow, Poland.ORCID 0000-0001-9966-0241
Costase NdayishimiyeHealth Economics and Social Security Department, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 8 Skawińska St., 31-066 Krakow, Poland.ORCID 0000-0003-1829-0037
Alicja DomagałaHealth Policy and Management Department, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 8 Skawińska St., 31-066 Krakow, Poland.ORCID 0000-0001-6162-1810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare workforce (HWF) shortages are the biggest challenges today in healthcare systems. Therefore, it is crucial to forecast the future needs of HWFs in order to plan accordingly. The purpose of this study was to identify, map, and synthesize the tools, methods, and procedures for measuring medical staff deficits in Europe. We used the Arksey and O'Malley scoping review methodology. Based on predefined criteria, 38 publications that were retrieved from multiple scientific databases, hand-searched on the internet, from relevant organizations, and scanned from references were considered. They were published between 2002 and 2022. There were 25 empirical studies, 6 theoretical papers, 5 reports, 1 literature review, and 1 guidebook. The majority estimated or measured shortages of physicians (14/38) and nurses (7/38) or looked at HWF generally (10/38). Various methods were used, including projections, estimations, predictions, simulation models, and surveys, which used tools such as special computer software or customized indicators, i.e., the Workload Indicators of Staffing Need method. Researchers estimated HWF shortages at both national and regional levels. Such projections and estimations were often based on demand, supply, and/or need. These methods and tools are not always suited to the needs of a country or medical facility, which is why they need to be further developed and tested.

Indexed as

Delivery of Health CareWorkloadEuropeHumansMedical StaffWorkforceestimation methodhealthcare workforcehealth workforce predictionmedical staff deficitprediction toolstaff shortage

Identifiers

PMID36833641
PMCPMC9957245

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.