Evidence map›Paper›PMID 31378074›Full record

Trial reportJournal of diabetes science and technology2020

Benefit of Digital Tools Used for Integrated Personalized Diabetes Management: Results From the PDM-ProValue Study Program.

Lutz Heinemann, Wendelin Schramm, Helena Koenig, Annette Moritz, Iris Vesper, Joerg Weissmann, Bernhard Kulzer

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of diabetes science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Digital Health Technology in Diabetes Management in the Asia-Pacific Region: A Narrative Review of the Current Scenario and Future Outlook.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

7 authors.

Lutz HeinemannScience Consulting in Diabetes GmbH, Neuss, Germany.ORCID 0000-0003-2493-1304
Wendelin SchrammGECKO Institut, Hochschule Heilbronn, Germany.
Helena KoenigRoche Diabetes Care GmbH, Mannheim, Germany.
Annette MoritzRoche Diabetes Care Deutschland GmbH, Mannheim, Germany.
Iris VesperRoche Diabetes Care GmbH, Mannheim, Germany.
Joerg WeissmannRoche Diabetes Care Deutschland GmbH, Mannheim, Germany.
Bernhard KulzerFIDAM (Forschungsinstitut Diabetes Akademie Bad Mergentheim), Bad Mergentheim, Germany.ORCID 0000-0001-9120-4479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntegrated personalized diabetes management (iPDM) is a digitally supported therapeutic concept to improve patient-physician interaction to overcome the aspects of clinical inertia. Integrated personalized diabetes management can support decision making and improve therapeutic outcomes of suboptimally controlled persons with insulin-treated type 2 diabetes (T2D). In this paper, we report the results of an analysis of the PDM-ProValue study program on the effectiveness and perceived benefit of this approach, with a focus on how physicians used and assessed the digital tools provided for the iPDM process. MATERIALS AND

methodsThe study program included two 12-month, prospective, controlled, cluster-randomized multicenter trials. A total of 101 practices participated with 907 patients. Practices were cluster-randomized to an intervention group and a control group. Digital tools for data visualization and analysis applied were used. HCP were asked to assess the use, relevance, and usefulness of the tools.

resultsA clear preference was stated for the visual overview over more statistically complex analyses. A total of 83% of the participants rated a high relevance of the "daily profile," 81% of the "total profile," and 68% the "risk illustrated by traffic light symbols" for the therapy decision. The overall iPDM process was very favorably rated with respect to structuredness and potential for personalized treatment and well accepted among health care professionals (HCP).

conclusionsEmbedding digital tools in a structured process (iPDM) were proved to provide a benefit for insulin-treated T2D patients and their physicians. These results offer insight for further development and improvement of the tools and add information on how to overcome clinical inertia.

Indexed as

Diabetes Mellitus, Type 2AdultAgedDecision Making, SharedDigital TechnologyDrug Delivery SystemsFemaleGermanyGlycemic ControlHumansMaleMiddle AgedPhysician-Patient RelationsPractice Patterns, Physicians'Precision MedicineRetrospective Studiesdigital toolsinsulin therapy regimenpersonalized diabetes managementprocess improvementtype 2 diabetes

Identifiers

PMID31378074
PMCPMC7196877

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Registered trials

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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.