ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2023
[SaxoForN-a transregional primary care research network in Dresden and Frankfurt am Main : Design of a practice-based research infrastructure].
Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Health information management of older, multimorbid patients in German primary care: feasibility and first results of the outcome measures of a cluster-randomised controlled pilot trial - HYPERION-TransCare.BMC primary care · 2025Trial
- Exploring general practitioners' perspectives on the use and benefits of digital health applications for mental disorders in primary care: a mixed-methods study.BMC health services research · 2026Article
- General Practitioners' Perspectives on Digital Health Applications for Mental Disorders and Their Prescribing Behavior: Mixed Methods Study.JMIR mental health · 2026Article
- Establishing a standing patient advisory board in family practice research: A qualitative evaluation from patients' and researchers' perspectives.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Establishing primary care research networks (PCRNs) makes it easier to conduct clinical trials and health services research in a general-practice setting. Since February 2020, the German Federal Ministry of Education and Research (BMBF) has sponsored the development of six PCRNs and a coordination unit throughout Germany, with the aim of setting up a sustainable outpatient research infrastructure to raise the quantity and quality of primary care.The present article describes the design of a PCRN in Dresden and Frankfurt am Main - SaxoForN - and explains its structure and how it operates. The network is a transregional alliance between the two regional PCRNs named "SaxoN" (Dresden/Saxony) and "ForN" (Frankfurt am Main/Hesse), both of which run transregional and local research projects. For this purpose, joint standards and harmonized structures, for example with respect to the data infrastructure, qualifications, participation, and accreditation, were agreed upon and implemented at both sites.A critical success factor will be whether and to what extent the standards and structures, as well as resource planning, can be designed sustainably enough to permit the PCRNs to carry out high-quality research over the long term. To achieve this, the PCRNs will have to attract new practices and build up lasting relationships with them, qualify the research practices in order to standardize processes as far as possible, and regularly document their basic information and healthcare data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.