Evidence map›Paper›PMID 28003176›Full record

ArticleJMIR research protocols2016

Securing the Continuity of Medical Competence in Times of Demographic Change: A Proposal.

Joachim Paul Hasebrook, Jürgen Hinkelmann, Thomas Volkert, Sibyll Rodde, Klaus Hahnenkamp

Abstract read
In one paragraph

Article in JMIR research protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. 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

5 authors.

Joachim Paul Hasebrookzeb.business school, Steinbeis University Berlin, Muenster, Germany.ORCID http://orcid.org/0000-0002-9706-4267
Jürgen HinkelmannUniversity Hosptial Frankfurt, Frankfurt, Germany.ORCID http://orcid.org/0000-0002-1163-9841
Thomas VolkertDepartment of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Muenster, Muenster, Germany.ORCID http://orcid.org/0000-0002-8940-2502
Sibyll Roddezeb.health care, zeb.rolfes.schierenbeck.associates, Muenster, Germany.ORCID http://orcid.org/0000-0003-2683-8971
Klaus HahnenkampDepartment of Anaesthesiology, Intensive Care, Emergency Care and Pain Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0003-2905-0362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUniversity hospitals make up the backbone of medical and economic services of hospitals in Germany: they qualify specialist physicians, ensure medical research, and provide highly specialized maximum medical care, which other hospitals cannot undertake. In addition to this assignment, medical research and academic teaching must be managed despite a growing shortage of specialist physicians. By the year 2020, the need for the replacement of retired physicians and increased demand will total 30,000 positions. The situation will become more difficult because, on the whole, patients are becoming older and sicker and because specialist physicians are able to find more attractive working conditions in smaller hospitals, abroad, or outside of curative medicine.

objectiveIn order to retain sufficient qualified employees, major improvements in quality are required in terms of working and training conditions. For this purpose, a sustainable innovation process is necessary, which incorporates solutions from outside of the health care sector in order to be able to learn from experiences and mistakes from other industries. The FacharztPlus project aims to find suitable measures in order to retain specialist physicians for more years after the completion of 5 years of professional training. This should determine the suitability of additional qualifications alongside the professional career and an expertise-related work organization oriented to different stages of life.

methodsStructured interviews, surveys, and repertory grids are used as preparation for cross-industry expert panels to create future work scenarios for university hospitals. Industries involved are harbor logistics (container terminal), airports, and digitized industrial production ("industry 4.0") because these industries are also facing a shortage of qualified staff and have to respond to rapidly changing demands. Based on the experts' scenarios, consensus groups will be established in each university hospital trying to reach consensus about the implementation of relevant factors in order to improve employee retention.

resultsWe expect these consensus groups to develop and introduce measures for more structured training procedures, individual and team incentives, organizational guidelines for better recruiting and retention in hospitals, models of flexible and attractive working conditions including shift work and vacation planning, and use of new learning tools (eg, tablet PCs and mobile phones).

conclusionsAll measures are implemented in the Department of Anaesthesiology, Intensive Care, Emergency Care and Pain Medicine at the University Hospital Muenster (UKM) with approximately 150 physicians and in the further 44 departments of the UKM and 22 teaching hospitals, which all together employ more than 5000 physicians. The measures will also be implemented at the university hospitals in Aachen, Rostock, and Greifswald. All decisions and measures will be discussed with representatives from hospital management and professional associations. Results will be presented at conferences and published in journals.

Indexed as

additional medical qualificationcombining work and familyflexible working time modelspromotion of womenshortages of specialist physiciansworking life models

Identifiers

PMID28003176
PMCPMC5214971

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.