Evidence map›Paper›PMID 35450906›Full record

ArticleBMJ open2022

Diabetes Rescue, Engagement and Management (D-REM): rationale and design of a pragmatic clinical trial of a community paramedicine programme to improve diabetes care.

Michael B Juntunen, Chad P Liedl, Peter N Carlson, Lucas A Myers, Zachary R Stickler, Jill A Ryan Schultz, Angela K Meilander, Emma Behnken, Michelle A Lampman, M Carson Rogerson and 2 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04385758 (Community Paramedicine Program to Improve Diabetes Care Quality, Equity, and Outcomes), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT04385758 nacompletednot on this map

Community Paramedicine Program to Improve Diabetes Care Quality, Equity, and Outcomes

TypeinterventionalSponsorMayo ClinicRan2020 to 2022Enrolled86ConditionsDiabetes, Diabetes MellitusArmsDiabetes-REM Program
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Michael B JuntunenMayo Clinic Ambulance, Mayo Clinic, Rochester, Minnesota, USA.
Chad P LiedlMayo Clinic Ambulance, Mayo Clinic, Rochester, Minnesota, USA.
Peter N CarlsonMayo Clinic Ambulance, Mayo Clinic, Rochester, Minnesota, USA.
Lucas A MyersMayo Clinic Ambulance, Mayo Clinic, Rochester, Minnesota, USA.
Zachary R SticklerMayo Clinic Ambulance, Mayo Clinic, Rochester, Minnesota, USA.
Jill A Ryan SchultzMayo Clinic Ambulance, Mayo Clinic, Rochester, Minnesota, USA.
Angela K MeilanderOffice of Clinical Trials, Mayo Clinic, Rochester, Minnesota, USA.
Emma BehnkenKnowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota, USA.
Michelle A LampmanRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.
M Carson RogersonMayo Clinic Ambulance, Mayo Clinic, Rochester, Minnesota, USA.
Karen M FischerDivision of Clinical Trials and Biostatistics, Department of Qualitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Rozalina G McCoyMayo Clinic Ambulance, Mayo Clinic, Rochester, Minnesota, USA mccoy.rozalina@mayo.edu.ORCID 0000-0002-2289-3183

Funding

Predicting the Risk of Severe Hypoglycemic and Hyperglycemic Events in Adults with DiabetesK23DK114497 · NIDDK · MAYO CLINIC ROCHESTER · PI MCCOY, ROZALINA GRUBINA · 2017 to 2021
$846k
NIDDK NIH HHS K23 DK114497
6 · The paper itself

Abstract

introductionDiabetes is one of the most common serious chronic health conditions in the USA. People living with diabetes face multiple barriers to optimal diabetes care, including gaps in access to medical care and self-management education, diabetes distress, and high burden of treatment. Community paramedics (CPs) are uniquely positioned to support multidisciplinary care for patients with diabetes by delivering focused diabetes self-management education and support and bridging the gaps between patients and the clinical and community resources they need to live well with their disease. METHODS AND ANALYSIS: We will conduct a pragmatic single-arm prospective trial of a CP-led Diabetes Rescue, Engagement and Management (D-REM) programme that seeks to reduce diabetes distress. We will enrol 70 adults (≥18 years) with diabetes who have haemoglobin A1c (HbA1c)≥9.0%, experienced an emergency department (ED) visit or hospitalisation for any cause within the prior 6 months, and reside in areas with available CP support in Southeast Minnesota (Olmsted, Freeborn and Mower counties) and Northwest Wisconsin (Barron, Rusk and Dunn counties). Participants will be identified using Mayo Clinic electronic health records, contacted for consent and enrolled into the D-REM programme. Visit frequency will be individualised for each patient, but will be an average of four CP visits over the course of approximately 1 month. Outcomes will be change in diabetes distress (primary outcome), confidence in diabetes self-management, health-related quality of life, self-reported hypoglycaemia and hyperglycaemia, HbA1c, ED visits and hospitalisations. Outcomes will be assessed on enrolment, programme completion and 3 months after programme completion. ETHICS AND DISSEMINATION: The study was approved by Mayo Clinic Institutional Review Board. Findings will be disseminated through peer-reviewed publications and presentations. If demonstrated to be successful, this model of care can be implemented across diverse settings and populations to support patients living with diabetes. TRIAL REGISTRATION NUMBER: NCT04385758.

Indexed as

Diabetes MellitusSelf-ManagementAdultGlycated HemoglobinHumansPragmatic Clinical Trials as TopicProspective StudiesQuality of LifeGlycated HemoglobinDiabetes & endocrinologyGeneral diabetesOrganisation of health services

Identifiers

PMID35450906
PMCPMC9024266

What OpenQuestion holds

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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.