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Record W4415292312 · doi:10.2196/73199

Access to a Newly Adapted Diabetes-Specific Multimodal Cross-Sectoral and Interdisciplinary Psychotherapeutic Care Option for a High-Risk Group of Patients With Diabetes Mellitus and Distress: Protocol for the minDBe Pilot Study

2025· article· en· W4415292312 on OpenAlexvenueno aff
Sandra Zara, Johannes Kruse, Hanna Kampling

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsnot available
Fundersnot available
KeywordsProtocol (science)Diabetes mellitusHealth careFocus groupMEDLINEGroup (periodic table)Research designAlternative medicine

Abstract

fetched live from OpenAlex

Background Diabetes is a chronic disease requiring daily self-management to regulate physiological parameters like glycemic control. Despite extensive training being available, most patients with diabetes do not meet their target blood sugar levels. Moreover, diabetes-related emotional distress and psychological burden in the form of depressive and anxiety symptoms are very common. Patients with these challenges represent a high-risk group in terms of increased morbidity, mortality, and health care costs as well as decreased quality of life. Hence, in addition to somatically focused standard care, this patient group requires specific treatment options that also address psychosocial aspects. However, these treatments are often not available in routine care. Psychosomatic outpatient clinics (PsIAs) could address this gap by offering multimodal and integrative treatment. However, the indication for treatment in PsIAs and the referral pathways for patients with diabetes from practices or diabetes clinics to PsIAs remain complicated. Moreover, specific treatment options must be adapted. Objective This study aims to assess the needs for referral pathways to PsIAs from the patient and service provider perspectives and to adapt the already effective psychosomatic intervention psy-PAD for a group setting (psy-PADGroup), fitting the multimodal PsIA structures. Methods This pilot study comprises an explorative qualitative design based on a multilevel approach, using 2 work packages: work package 1 assesses the patient perspective (n=40) using focus groups, as well as the service provider perspective with interviews (n=30). Work package 2 comprises an expert workshop with clinicians and patient representatives (n=10) to adapt the psy-PADGroup manual for the modalities of PsIAs. We will audio-record the patient focus groups and service provider interviews. The audio recordings will be transcribed and analyzed using content analysis within the framework of interpretative text evaluations with MAXQDA. Results Outcomes will be (1) the needs regarding referral pathways, (2) short questionnaires to economically assess the acceptance and feasibility of the referral pathways in preparation for the minDBe main study, and (3) the adapted psy-PADGroup intervention for an interdisciplinary multimodal treatment option to be implemented in the structures of PsIAs. Conclusions The minDBe pilot study will lay the foundation for the minDBe main study, which aims to evaluate the psy-PADGroup as part of an interdisciplinary multimodal psychotherapeutic treatment program in a randomized controlled trial. International Registered Report Identifier (IRRID) DERR1-10.2196/73199

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.043
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.012
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0430.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.147
GPT teacher head0.517
Teacher spread0.370 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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