Evidence map›Paper›PMID 33206241›Full record

ReviewCurrent diabetes reports2020

Implementation of Technology-Delivered Diabetes Self-care Interventions in Clinical Care: a Narrative Review.

Lyndsay A Nelson, Sarah E Williamson, Audriana Nigg, William Martinez

Abstract readReview
In one paragraph

Review in Current diabetes reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

4 authors.

Lyndsay A NelsonDepartment of Medicine, Vanderbilt University Medical Center, 2525 West End Ave. Suite 450, Nashville, TN, 37203, USA. lyndsay.a.nelson@vumc.org.ORCID 0000-0002-7304-5643
Sarah E WilliamsonDepartment of Medicine, Vanderbilt University Medical Center, 2525 West End Ave. Suite 450, Nashville, TN, 37203, USA.
Audriana NiggDepartment of Medicine, Vanderbilt University Medical Center, 2525 West End Ave. Suite 450, Nashville, TN, 37203, USA.
William MartinezDepartment of Medicine, Vanderbilt University Medical Center, 2525 West End Ave. Suite 450, Nashville, TN, 37203, USA.

Funding

Expanding Patient Engagement in Diabetes Care: Patient Portal InnovationR18DK123373 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MARTINEZ, WILLIAM · 2019 to 2023
$3.0M
Vanderbilt Scholars in T4 Translational Research (V-STTaR) ProgramK12HL137943 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KRIPALANI, SUNIL, ROUMIE, CHRISTIANNE L. · 2017 to 2021
$2.9M
Enhancing patient activation in diabetes care using social and goal-based comparisonsK23DK106511 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MARTINEZ, WILLIAM · 2015 to 2019
$869k
NHLBI NIH HHS K12 HL137943NIDDK NIH HHS K23 DK106511NIDDK NIH HHS R18 DK123373
6 · The paper itself

Abstract

purpose of reviewEvidence is growing for the positive effects of technology-delivered diabetes self-care interventions on behavioral and clinical outcomes. However, our understanding of how to effectively implement these interventions into routine clinical practice is limited. This article provides an overview of the methods and results of studies examining the implementation of technology-delivered diabetes self-care interventions into clinical care. We focus specifically on patient-facing behavioral interventions delivered with technology (e.g., text messaging, apps, websites). RECENT

findingsEleven articles were included in the review. Most studies (n = 9) examined barriers and facilitators to implementation, while about half (n = 5) integrated the intervention into clinical care and evaluated implementation and/or effectiveness. Only six studies applied a theory or framework. The most common determinants of implementation were time constraints for clinic staff, familiarity with technology, knowledge of the intervention, and perceived value. We found substantial variation in implementation outcomes, including which were reported, how they were assessed, and the results. In the four studies that evaluated effectiveness, hemoglobin A1c improved. Successful implementation of technology-delivered interventions has the potential to transform healthcare delivery and improve diabetes health on a population level. Promising strategies to address common determinants of implementation include appointing a clinic champion, developing staff training and educational materials, and adapting intervention processes to the clinic context. Future research should evaluate these implementation strategies to understand when and how they impact outcomes. Frameworks such as Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) can help ensure outcomes are systematically reported and allow for comparison across studies.

Indexed as

Diabetes MellitusSelf CareHumansTechnologyDiabetesImplementationInterventionsMobile healthSelf-managementTechnology

Identifiers

PMID33206241
PMCPMC8188808

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.