Evidence map›Paper›PMID 32996888›Full record

ArticleJMIR research protocols2020

Optimizing Antibiotic Prescribing for Acute Respiratory Tract Infection in German Primary Care: Study Protocol for Evaluation of the RESIST Program.

Christin Löffler, Antje Krüger, Anne Daubmann, Julia Iwen, Marc Biedermann, Maike Schulz, Karl Wegscheider, Attila Altiner, Gregor Feldmeier, Anja Wollny

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2020. 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
0.6field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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  5. Review
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

10 authors at 3 institutions in 1 country.

Christin LöfflerInstitute of General Practice, Rostock University Medical Center, Rostock, Germany.ORCID https://orcid.org/0000-0001-5763-7588
Antje KrügerInstitute of General Practice, Rostock University Medical Center, Rostock, Germany.ORCID https://orcid.org/0000-0002-1627-4845
Anne DaubmannInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg- Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0003-0156-0926
Julia IwenAssociation of Substitute Health Funds (Vdek), Berlin, Germany.ORCID https://orcid.org/0000-0002-6035-7349
Marc BiedermannNational Association of Statutory Health Insurance Physicians, Berlin, Germany.ORCID https://orcid.org/0000-0002-4327-4285
Maike SchulzCentral Research Institute of Ambulatory Health Care in Germany, Berlin, Germany.ORCID https://orcid.org/0000-0003-3296-4456
Karl WegscheiderInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg- Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0003-2974-3142
Attila AltinerInstitute of General Practice, Rostock University Medical Center, Rostock, Germany.ORCID https://orcid.org/0000-0002-2429-933X
Gregor FeldmeierInstitute of General Practice, Rostock University Medical Center, Rostock, Germany.ORCID https://orcid.org/0000-0001-7420-5752
Anja WollnyInstitute of General Practice, Rostock University Medical Center, Rostock, Germany.ORCID https://orcid.org/0000-0001-5493-451X
University of Rostock · DEUniversität Hamburg · DENational Association of Statutory Health Insurance Physicians · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence and increased spread of microbial resistance is a major challenge to all health care systems worldwide. In primary care, acute respiratory tract infection (ARTI) is the health condition most strongly related to antibiotic overuse.

objectiveThe RESIST program aims at optimizing antibiotic prescribing for ARTI in German primary care. By completing a problem-orientated online training course, physicians are motivated and empowered to utilize patient-centered doctor-patient communication strategies, including shared decision making, in the treatment of patients with ARTI.

methodsRESIST will be evaluated in the form of a nonrandomized controlled trial. Approximately 3000 physicians of 8 (out of 16) German federal states can participate in the program. Patient and physician data are retrieved from routine health care data. Physicians not participating in the program serve as controls, either among the 8 participating regional Associations of Statutory Health Insurance Physicians (control group 1) or among the remaining associations not participating in RESIST (control group 2). Antibiotic prescription rates before the intervention (T0: 2016, 1st and 2nd quarters of 2017) and after the intervention (T1: 3rd quarter of 2017 until 1st quarter of 2019) will be compared. The primary outcome measure is the overall antibiotic prescription rate for all patients insured with German statutory health insurance before and after provision of the online course. The secondary outcome is the antibiotic prescription rate for coded ARTI before and after the intervention.

resultsRESIST is publicly funded by the Innovations funds of the Federal Joint Committee in Germany and was approved in December 2016. Recruitment of physicians is now completed, and a total of 2460 physicians participated in the intervention. Data analysis started in February 2020.

conclusionsWith approximately 3000 physicians participating in the program, RESIST is among the largest real-world interventions aiming at reducing inadequate antibiotic prescribing for ARTI in primary care. Long-term follow up of up to 21 months will allow for investigating the sustainability of the intervention.

trial registrationISRCTN Registry ISRCTN13934505; http://www.isrctn.com/ISRCTN13934505. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/18648.

Indexed as

antibacterial agentsantibiotic resistancelower respiratory tract infectionphysician-patient relationprimary careprimary health carerespiratory tract infectionshared decision makingupper respiratory tract infection

Identifiers

PMID32996888
PMCPMC7557437
OpenAlexW3043456190

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.