Evidence map›Paper›PMID 37782539›Full record

ArticleJournal of medical Internet research2023

Evaluation of a Digital Decision Support System to Integrate Type 2 Diabetes Mellitus and Periodontitis Care: Case-Vignette Study in Simulated Environments.

Olivier Kalmus, Kirsten Smits, Max Seitz, Christian Haux, Bernt-Peter Robra, Stefan Listl

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 2 countries.

Olivier KalmusSection for Translational Health Economics, Heidelberg University Hospital, Department of Conservative Dentistry, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-7255-6484
Kirsten SmitsDepartment of Dentistry, Quality and Safety of Oral Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands.ORCID 0000-0003-4327-1997
Max SeitzInstitute of Medical Informatics, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-4036-8809
Christian HauxInstitute of Medical Informatics, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-7369-3413
Bernt-Peter RobraInstitute of Social Medicine and Health Systems Research, Otto-von-Guericke-University, Magdeburg, Germany.ORCID 0000-0002-4373-339X
Stefan Listl *Section for Translational Health Economics, Heidelberg University Hospital, Department of Conservative Dentistry, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-8176-3397
Heidelberg University · DERadboud University Nijmegen · NLOtto-von-Guericke-Universität Magdeburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs highlighted by the recent World Health Organization Oral Health Resolution, there is an urgent need to better integrate primary and oral health care. Despite evidence and guidelines substantiating the relevance of integrating type 2 diabetes mellitus (T2DM) and periodontitis care, the fragmentation of primary and oral health care persists.

objectiveThis paper reports on the evaluation of a prototype digital decision support system (DSS) that was developed to enhance the integration of T2DM and periodontitis care.

methodsThe effects of the prototype DSS were assessed in web-based simulated environments, using 2 different sets of case vignettes in combination with evaluation surveys among 202 general dental practitioners (GDPs) and 206 general practitioners (GPs). Each participant evaluated 3 vignettes, one of which, chosen at random, was assisted by the DSS. Logistic regression analyses were conducted at the participant and case levels.

resultsUnder DSS assistance, GPs had 8.3 (95% CI 4.32-16.03) times higher odds of recommending a GDP visit. There was no significant impact of DSS assistance on GP advice about common risk factors for T2DM and periodontal disease. GDPs had 4.3 (95% CI 2.08-9.04) times higher odds of recommending a GP visit, 1.6 (95% CI 1.03-2.33) times higher odds of giving advice on disease correlations, and 3.2 (95% CI 1.63-6.35) times higher odds of asking patients about their glycated hemoglobin value.

conclusionsThe findings of this study provide a proof of concept for a digital DSS to integrate T2DM and periodontal care. Future updating and testing is warranted to continuously enhance the functionalities of the DSS in terms of interoperability with various types of data sources and diagnostic devices; incorporation of other (oral) health dimensions; application in various settings, including via telemedicine; and further customization of end-user interfaces.

Indexed as

Diabetes Mellitus, Type 2PeriodontitisDentistsHumansProfessional RoleRisk Factorsdecision supportdiabetesdiagnostic devicedigital healthevaluationhemoglobinintegrated careoral careoral healthperiodontitissurveytelemedicinetype 2 diabetes

Identifiers

PMID37782539
PMCPMC10580131
OpenAlexW4387241585

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.