Evidence map›Paper›PMID 31597189›Full record

ArticleGesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))2020

[Routine Data from Emergency Departments: Varying Documentation Standards, Billing Modalities and Data Custodians at an Identical Unit of Care].

Felix Greiner, Anna Slagman, Christoph Stallmann, Stefanie March, Johannes Pollmanns, Patrik Dröge, Christian Günster, Marie-Luise Rosenbusch, Joachim Heuer, Saskia E Drösler and 2 more

Abstract read
In one paragraph

Article in Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  5. Observational
  6. Health care utilization of patients with acute abdominal pain before and after emergency department visits.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024
    Article
  7. Article
  8. Observational
  9. Observational
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Article
  17. Evaluating the consequences of health policy decisions.Israel journal of health policy research · 2020
    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

12 authors.

Felix GreinerMedizinische Fakultät, Universitätsklinik für Unfallchirurgie, Otto-von-Guericke-Universität Magdeburg, Magdeburg.
Anna SlagmanNotfall- und Akutmedizin (CVK, CCM), Charité - Universitätsmedizin Berlin, Berlin.
Christoph StallmannMedizinische Fakultät, Institut für Sozialmedizin und Gesundheitssystemforschung, Otto-von-Guericke-Universität Magdeburg, Magdeburg.
Stefanie MarchMedizinische Fakultät, Institut für Sozialmedizin und Gesundheitssystemforschung, Otto-von-Guericke-Universität Magdeburg, Magdeburg.
Johannes PollmannsFachbereich Gesundheitswesen, Hochschule Niederrhein, Krefeld.
Patrik DrögeWissenschaftliches Institut der AOK (WIdO), Qualitäts- und Versorgungsforschung, Berlin.
Christian GünsterWissenschaftliches Institut der AOK (WIdO), Qualitäts- und Versorgungsforschung, Berlin.
Marie-Luise RosenbuschZentralinstitut für die kassenärztliche Versorgung in Deutschland, Berlin.
Joachim HeuerZentralinstitut für die kassenärztliche Versorgung in Deutschland, Berlin.
Saskia E DröslerFachbereich Gesundheitswesen, Hochschule Niederrhein, Krefeld.
Felix WalcherMedizinische Fakultät, Universitätsklinik für Unfallchirurgie, Otto-von-Guericke-Universität Magdeburg, Magdeburg.
Dominik BrammenMedizinische Fakultät, Universitätsklinik für Unfallchirurgie, Otto-von-Guericke-Universität Magdeburg, Magdeburg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, there is a big need for data on emergency department (ED) utilization in Germany. One reason is the ongoing reorganisation of emergency care. Possible sources are routine data that are being collected based on legal regulations. Different payers and compensation systems have their own requirements for data collection. METHODOLOGICAL CHALLENGES: Due to the sectoral separation of health care services, there is no dataset or data holder to provide information on all ED treatments in Germany. From an administrative point of view, emergency care in Germany is considered ambulatory outpatient or inpatient care from the time point of admission to the ED. In contrast, clinical decision about inpatient admission can sometimes only be made towards the end of emergency care. EDs themselves cannot be identified in claims data; only the medical discipline (e. g. surgery) is classified. In the case of outpatient treatment, reimbursed by the Association of Statutory Health Insurance Physicians, at least one coded diagnosis (ICD) has to be recorded, accompanied by an additional code for the likelihood of this diagnosis. In case of multiple ICDs, a primary diagnosis cannot be specified. In the case of in-hospital treatment, an admission diagnosis must be recorded. After completion of hospital treatment, the main diagnosis and possibly secondary diagnoses are transferred to the respective health insurance fund. The statutory occupational accident insurance has its own requirements. SOLUTIONS: Depending on the research question and study design, different approaches are required. If data are queried directly in emergency departments or hospitals, additional information on the designated data holder and billing mode is crucial. When using health insurance data from inpatient care, the identification of emergency departments can be estimated on the basis of the reason for hospital admission and defined "unique" emergency ICDs. The case-related hospital statistics has its own limitations, but includes inpatients of all payers. DISCUSSION: Differing requirements for the administrative documentation cause a high workload in emergency departments. A standardised data collection system for all payers for inpatient and outpatient emergency care is recommended. This would contribute to the creation of valid and comparable datasets. The introduction of a particular identifier for EDs in claims data would enhance health services research.

Indexed as

DocumentationEmergency Medical ServicesEmergency Service, HospitalData AccuracyGermanyHospitalizationHumans

Identifiers

PMID31597189
PMCPMC7939518

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.