Evidence map›Paper›PMID 35927649›Full record

ArticleBMC musculoskeletal disorders2022

Routine data-based quality indicators for the treatment of gonarthrosis and coxarthrosis patients in the ambulatory care sector - A study protocol for a cluster-randomised pilot trial to evaluate the MobilE-ARTH study.

Tobias Bock, Ronja Flemming, Wiebke Schüttig, Anja Schramm, Martin B Weigl, Leonie Sundmacher

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC musculoskeletal disorders, 2022. 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.

  1. Article
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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

6 authors.

Tobias Bock *Chair of Health Economics, Department of Sport and Health Sciences, Technical University of Munich (TUM), Munich, Germany. tobias.bock@tum.de.
Ronja Flemming *Chair of Health Economics, Department of Sport and Health Sciences, Technical University of Munich (TUM), Munich, Germany.
Wiebke SchüttigChair of Health Economics, Department of Sport and Health Sciences, Technical University of Munich (TUM), Munich, Germany.
Anja SchrammDepartment of Analytics and Data, AOK Bavaria - The health insurance fund, Munich, Germany.
Martin B WeiglDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Centre Munich (MUM), University Hospital, Ludwig Maximilian University of Munich (LMU), Munich, Germany.
Leonie SundmacherChair of Health Economics, Department of Sport and Health Sciences, Technical University of Munich (TUM), Munich, Germany.

Funding

Bundesministerium für Bildung und Forschung 01GY1913D
6 · The paper itself

Abstract

backgroundIn 2019, Germany had the highest rate of hip replacement surgery and the fourth highest rate of knee replacement surgery among more than 30 OECD countries. The age-standardised rates were estimated at 174 hip joint and 137 knee joint replacements per 100,000 population. Against this background, the contrast between financial incentives for surgery and missing incentives for non-surgical treatment options is repeatedly discussed. Quality indicators (QIs) can serve to measure and transparently present the quality of evidence-based care. Comparing results in the form of audit and feedback has been shown to improve e.g. guideline-compliant ambulatory care. Existing QIs targeting the care of gon- and coxarthrosis mainly focus on discharge management after joint replacement surgery and/or require additional data collection. Therefore, as part of the MobilE-ARTH project, a set of QIs for ambulatory care prior to joint replacement surgery calculable based on routine data is being developed. The present study's aim is to evaluate the impact of this QI set in terms of providing feedback on the quality of care.

methodsThe MobilE-ARTH project comprises (Phase 1) developing a QI set following the RAND/UCLA Appropriateness Method, (Phase 2) implementing the QIs in established physician networks of a German statutory health insurance (SHI) within a prospective, non-blinded, cluster-randomised pilot study, and (Phase 3) evaluating the QI set's effectiveness. The physicians in the intervention networks will (a) receive feedback reports providing information about the routine data-based QIs of their gon- and/or coxarthrosis patients and aggregated results for their network, and (b) be invited to two voluntary, facilitated network meetings. In these network meetings, the physicians can use the information provided on the feedback reports to discuss multiprofessional care pathways for patients with gon- and/or coxarthrosis. Selected indicators of the QI set will serve as primary and secondary outcome measures. Routine data will be analysed within multi-level models using an intention-to-treat approach. DISCUSSION: Feedback reports help maintaining clinical standards and closing the gap between evidence and medical practice, thus enabling an overall improvement in health care. Providing physicians with QI-based information on quality of care promotes identifying strengths and weaknesses in medical treatments.

trial registrationGerman Clinical Trials Register, number DRKS00027516 , Registered 25

Indexed as

Osteoarthritis, HipOsteoarthritis, KneeAmbulatory CareClinical Trials, Phase I as TopicClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicHumansPilot ProjectsProspective StudiesQuality Indicators, Health CareRandomized Controlled Trials as TopicAmbulatory careCluster-randomised trialContinuity of careCoordination of careCoxarthrosisFeedbackGonarthrosisNetworksQuality indicatorsQuality of care

Identifiers

PMID35927649
PMCPMC9351163

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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.