Evidence map›Paper›PMID 33558357›Full record

ArticleBMJ open2021

Digital Dementia Registry Bavaria-digiDEM Bayern: study protocol for a multicentre, prospective, longitudinal register study.

Nikolas Dietzel, Lara Kürten, Linda Karrer, Michael Reichold, Laura Köhler, Andreas Nagel, Christina Chmelirsch, Kathrin Seebahn, Markus Hladik, Sebastian Meuer and 8 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07721701 (Digital Dementia Registry Bavaria), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

NCT07721701 recruitingnot on this map

Digital Dementia Registry Bavaria (digiDEM Bayern)

Typeobservational_patient_registrySponsorUniversity of Erlangen-Nürnberg Medical SchoolRan2020 to 2031Enrolled5,000ConditionsMild Cognitive Disorder, Alzheimer Disease, Vascular Dementia, Dementia in Other Diseases Classified Elsewhere
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 19 citations in OpenAlex.

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  6. [Travel time to memory clinics in Bavaria: A geographical analyses within the framework of digiDEM Bayern].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2024
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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

18 authors at 2 institutions in 1 country.

Nikolas DietzelInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany nikolas.dietzel@fau.de.ORCID 0000-0002-5820-3738
Lara KürtenInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Linda KarrerInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Michael ReicholdChair of Medical Informatics, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Laura KöhlerMedical Valley European Metropolitan Region Nuremberg Association, Erlangen, Germany.
Andreas NagelInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Christina ChmelirschInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Kathrin SeebahnInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Markus HladikInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Sebastian MeuerInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Anna KirchnerInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Kristina HolmInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Marina SelauChair of Medical Informatics, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Marco WendelMedical Valley European Metropolitan Region Nuremberg Association, Erlangen, Germany.
Jörg TrinkwalterMedical Valley European Metropolitan Region Nuremberg Association, Erlangen, Germany.
Hans-Ulrich ProkoschChair of Medical Informatics, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Elmar GraesselCenter for Health Services Research in Medicine, Department of Psychiatry and Psychotherapy, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Peter L Kolominsky-RabasInterdisciplinary Center for Health Technology Assessment and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.ORCID 0000-0002-7168-058X
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversitätsklinikum Erlangen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDementia is one of the most relevant widespread diseases, with a prevalence of currently 50 million people with dementia worldwide. The care of people with dementia will be one of the major challenges for healthcare systems worldwide. Digitalisation offers new possibilities to improve both dementia healthcare and health outcomes research as a fundament for national healthcare planning. The 'Digital Dementia Registry Bavaria-digiDEM Bayern' aims to improve the understanding of the complexity and long-term progression of dementia and the current care situation in Bavaria. Moreover, by offering digital services, digiDEM will actively contribute to improving the care situation in Bavaria. METHODS AND ANALYSIS: digiDEM will recruit people with dementia and their family caregivers in all administrative regions of Bavaria. All participants will undergo dementia screening prior to study inclusion in order to identify people with mild cognitive impairment and mild-to-moderate dementia. Participants will be followed up over a period of three years. Sociodemographic data, type of dementia, symptoms, diagnosis, cognitive trajectories, activities of daily living, behavioural and psychological symptoms, falls, resource utilisation, caregiver burden, quality of life, needs of people with dementia and their caregivers, mobility, use of media and sources of information will be assessed. The project will implement a digital web-based platform for data collection. Data will be collected by means of standardised online or face-to-face interviews. ETHICS AND DISSEMINATION: The study obtained ethical approval from the Ethics Committee of the Medical Faculty of Friedrich-Alexander-University Erlangen-Nürnberg (FAU) (application number: 253_20 B). Findings will be used for evidence-based decision-making for health decision-makers in order to optimise dementia healthcare in the state of Bavaria. Specific analyses will be conducted for the participating research partners. Results of the study will be published in peer-reviewed journals.

Indexed as

Activities of Daily LivingDementiaCaregiversHumansMulticenter Studies as TopicProspective StudiesQuality of LifeRegistriesdementianeurologypublic health

Identifiers

PMID33558357
PMCPMC7871684
OpenAlexW3129095554

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.