Evidence map›Paper›PMID 27401606›Full record

ArticleBMC medical informatics and decision making2016

Integrating data from an online diabetes prevention program into an electronic health record and clinical workflow, a design phase usability study.

Rebecca Grochow Mishuris, Jordan Yoder, Dan Wilson, Devin Mann

Registry-linked trialAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03529903 (MyLife), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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.

NCT03529903 nacompletednot on this mapstarted 2018, after this paper: background citation

MyLife: A Digital Health Coaching Program Encouraging Healthy Behaviors in Patients at Risk for Lifestyle-related Chronic Diseases

TypeinterventionalSponsorUniversity of California, Los AngelesRan2018 to 2021Enrolled100ConditionsLifestyle-related Condition, Obesity, Sedentary Lifestyle, PreDiabetesArmsHealth Coaching
3 · Its place in the literature

Who cites it

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

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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.

Rebecca Grochow MishurisBoston University School of Medicine, 801 Massachusetts Avenue, Crosstown 2nd floor, Boston, MA, 02118, USA. rgrochow@bu.edu.
Jordan YoderBoston University School of Medicine, 801 Massachusetts Avenue, Crosstown 2nd floor, Boston, MA, 02118, USA.
Dan WilsonMoxe Health, Madison, Wisconsin, USA.
Devin MannBoston University School of Medicine, 801 Massachusetts Avenue, Crosstown 2nd floor, Boston, MA, 02118, USA.

Funding

Building an interface integrating PCP's and an online diabetes prevention programR03DK098162 · NIDDK · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MANN, DEVIN M · 2013 to 2014
$164k
NIDDK NIH HHS R03 DK098162
6 · The paper itself

Abstract

backgroundHealth information is increasingly being digitally stored and exchanged. The public is regularly collecting and storing health-related data on their own electronic devices and in the cloud. Diabetes prevention is an increasingly important preventive health measure, and diet and exercise are key components of this. Patients are turning to online programs to help them lose weight. Despite primary care physicians being important in patients' weight loss success, there is no exchange of information between the primary care provider (PCP) and these online weight loss programs. There is an emerging opportunity to integrate this data directly into the electronic health record (EHR), but little is known about what information to share or how to share it most effectively. This study aims to characterize the preferences of providers concerning the integration of externally generated lifestyle modification data into a primary care EHR workflow.

methodsWe performed a qualitative study using two rounds of semi-structured interviews with primary care providers. We used an iterative design process involving primary care providers, health information technology software developers and health services researchers to develop the interface.

resultsUsing grounded-theory thematic analysis 4 themes emerged from the interviews: 1) barriers to establishing healthy lifestyles, 2) features of a lifestyle modification program, 3) reporting of outcomes to the primary care provider, and 4) integration with primary care. These themes guided the rapid-cycle agile design process of an interface of data from an online diabetes prevention program into the primary care EHR workflow.

conclusionsThe integration of external health-related data into the EHR must be embedded into the provider workflow in order to be useful to the provider and beneficial for the patient. Accomplishing this requires evaluation of that clinical workflow during software design. The development of this novel interface used rapid cycle iterative design, early involvement by providers, and usability testing methodology. This provides a framework for how to integrate external data into provider workflow in efficient and effective ways. There is now the potential to realize the importance of having this data available in the clinical setting for patient engagement and health outcomes.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsHealth PersonnelPrimary Health CareQualitative ResearchWorkflowDiabetes MellitusHumansClinical decision supporte-healthElectronic health recordPreventive medicineUsability testing

Identifiers

PMID27401606
PMCPMC4940704

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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.