Evidence map›Paper›PMID 39338056›Full record

ArticleInternational journal of environmental research and public health2024

Controlling Prescribing through "Preferred Drug" Targets-The Bavarian Experience.

Julia Gollnick, Nikoletta Zeschick, Julia Muth, Franziska Hörbrand, Kerstin Behnke, Peter Killian, Maria Sebastiao, Thomas Kühlein, Norbert Donner-Banzhoff

Abstract read
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Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Julia GollnickInstitute of General Practice/Family Medicine, Philipps University of Marburg, Karl-von-Frisch-Straße 4, 35043 Marburg, Germany.ORCID 0009-0001-2804-5660
Nikoletta ZeschickInstitute of General Practice, Friedrich-Alexander-University of Erlangen-Nürnberg (FAU), Universitätsstr. 29, 91054 Erlangen, Germany.
Julia MuthInstitute of General Practice/Family Medicine, Philipps University of Marburg, Karl-von-Frisch-Straße 4, 35043 Marburg, Germany.
Franziska HörbrandAssociation of Statutory Health Insurance Physicians, Bavaria, Elsenheimerstraße 39, 80687 München, Germany.
Kerstin BehnkeAssociation of Statutory Health Insurance Physicians, Bavaria, Elsenheimerstraße 39, 80687 München, Germany.
Peter KillianAssociation of Statutory Health Insurance Physicians, Bavaria, Elsenheimerstraße 39, 80687 München, Germany.
Maria SebastiaoInstitute of General Practice, Friedrich-Alexander-University of Erlangen-Nürnberg (FAU), Universitätsstr. 29, 91054 Erlangen, Germany.
Thomas KühleinInstitute of General Practice, Friedrich-Alexander-University of Erlangen-Nürnberg (FAU), Universitätsstr. 29, 91054 Erlangen, Germany.
Norbert Donner-BanzhoffInstitute of General Practice/Family Medicine, Philipps University of Marburg, Karl-von-Frisch-Straße 4, 35043 Marburg, Germany.

Funding

Gemeinsamer Bundesausschuss 01VSF17016
6 · The paper itself

Abstract

backgroundThe rising costs of drugs are putting health care systems under pressure. We report on the Bavarian Drug Agreement, which employs prescribing targets for preferred and generic drugs in ambulatory care. Under this agreement, providers are regularly profiled with individual feedback but also possible sanctions. We investigated the degree to which targets were being met (or not) and why failure occurred.

methodsWe analysed prescribing data aggregated by practice for the quarter 1/2018. We chose eight specialisation groups and analysed their drug targets with a high prescribing volume, widely missed drug targets (<90%), and drugs preventing drug target achievement. Characterisation of drug targets and preventing drugs was undertaken.

resultsDrug targets with a high prescribing volume are mostly achieved, while highly missed drug targets mostly do not affect the main indication area of the specialisation groups considered. Generic drug targets seem to be more easily achieved than recommended drug targets. Paediatrics accounts for the largest number of missed drug targets.

conclusionsThe Bavarian tool implemented uses the prescribing volume (DDD) and price components to evaluate the prescription behaviour of physicians. Well-established drugs with demonstrated effectiveness, safety, and lower costs are preferred. Nevertheless, me-too drugs, combination drugs, costly innovations with unclear value, and drugs with application methods of variable convenience challenge the drug prescribers and are reasons for missed drug targets.

Indexed as

Drug PrescriptionsPractice Patterns, Physicians'Drugs, GenericGermanyHumansDrugs, Genericambulatory care/economicsbudgetscost control/trendsdrug prescriptionsdrug therapy/economicsdrug therapy/trends

Identifiers

PMID39338056
PMCPMC11431696

What Socratic holds

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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 Socratic graph.