Evidence map›Paper›PMID 35582891›Full record

Trial reportJournal of the American Medical Informatics Association : JAMIA2022

Electronic blood glucose monitoring impacts on provider and patient behavior.

Allyson Root, Christopher Connolly, Season Majors, Hassan Ahmed, Mattie Toma

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Allyson RootAmazon, Seattle, Washington, USA.
Christopher ConnollyInova Health System, Falls Church, Virginia, USA.
Season MajorsInova Health System, Falls Church, Virginia, USA.
Hassan AhmedInova Health System, Falls Church, Virginia, USA.
Mattie TomaDepartment of Economics, Office of Evaluation Sciences and Harvard University, Washington, District of Columbia and Cambridge, Massachusetts, USA.ORCID 0000-0002-0408-4040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRecent technological development along with the constraints imposed by the coronavirus disease 2019 (COVID-19) pandemic have led to increased availability of patient-generated health data. However, it is not well understood how to effectively integrate this new technology into large health systems. This article seeks to identify interventions to increase utilization of electronic blood glucose monitoring for patients with diabetes. MATERIALS AND

methodsA large randomized controlled trial tested the impact of multiple interventions to promote use of electronic blood glucose tracking. The total study sample consisted of 7052 patients with diabetes across 68 providers at 20 selected primary care offices. The design included 2 stages: First, primary care practices were randomly assigned to have their providers receive education regarding blood glucose flowsheet orders. Then, patients in the treated practices were assigned to 1 of 4 reminder interventions.

resultsProvider education successfully increased provider take-up of an online blood glucose monitoring tool by 64 percentage points, while a comparison of reminder interventions revealed that emphasizing accountability to the provider encouraged patients to track their blood glucose online. An assessment of downstream outcomes revealed impacts of the interventions on prescribing behavior and A1c testing frequency. DISCUSSION: It is important to understand how health systems can practically promote take-up and awareness of emerging digital health alternatives or those with persistently low utilization in clinical settings.

conclusionThese results indicate that provider training and support are critical first steps to promote utilization of patient-generated health data, and that patient communications can provide further motivation.

Indexed as

COVID-19Diabetes MellitusBlood GlucoseBlood Glucose Self-MonitoringElectronicsHumansBlood Glucosebehavioral sciences (D001525)diabetes mellitus (D003920)informatics (D048088)randomized controlled trials (D016032)

Identifiers

PMID35582891
PMCPMC9277631

What OpenQuestion holds

Textmetadata
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.