Evidence map›Paper›PMID 22269066›Full record

ArticleImplementation science : IS2012

Increasing efficacy of primary care-based counseling for diabetes prevention: rationale and design of the ADAPT (Avoiding Diabetes Thru Action Plan Targeting) trial.

Devin M Mann, Jenny J Lin

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Implementation science : IS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01473654 (Avoiding Diabetes Thru Action Plan Targeting), which is not on this map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 12% of its field
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.

NCT01473654 nacompletednot on this map

Avoiding Diabetes Thru Action Plan Targeting (ADAPT): A Pilot Randomized Control Trial of an Electronic Medical Record Embedded Prediabetes Shared Goal Setting Tool in Primary Care

TypeinterventionalSponsorBoston UniversityRan2011 to 2014Enrolled60ConditionsPrediabetesArmsADAPT tool
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2017
    Pooled it
  3. An appraisal of published usability evaluations of electronic health records via systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
    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

2 authors at 2 institutions in 1 country.

Devin M MannDepartment of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA. dmann@bu.edu
Jenny J Lin
Boston University · USIcahn School of Medicine at Mount Sinai · US

Funding

Diabetes Risk Communication Tool to Improve Lifestyle BehaviorsK23DK081665 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MANN, DEVIN M · 2009 to 2013
$875k
NIDDK NIH HHS 5K23DK081665
6 · The paper itself

Abstract

backgroundStudies have shown that lifestyle behavior changes are most effective to prevent onset of diabetes in high-risk patients. Primary care providers are charged with encouraging behavior change among their patients at risk for diabetes, yet the practice environment and training in primary care often do not support effective provider counseling. The goal of this study is to develop an electronic health record-embedded tool to facilitate shared patient-provider goal setting to promote behavioral change and prevent diabetes.

methodsThe ADAPT (Avoiding Diabetes Thru Action Plan Targeting) trial leverages an innovative system that integrates evidence-based interventions for behavioral change with already-existing technology to enhance primary care providers' effectiveness to counsel about lifestyle behavior changes. Using principles of behavior change theory, the multidisciplinary design team utilized in-depth interviews and in vivo usability testing to produce a prototype diabetes prevention counseling system embedded in the electronic health record.

resultsThe core element of the tool is a streamlined, shared goal-setting module within the electronic health record system. The team then conducted a series of innovative, "near-live" usability testing simulations to refine the tool and enhance workflow integration. The system also incorporates a pre-encounter survey to elicit patients' behavior-change goals to help tailor patient-provider goal setting during the clinical encounter and to encourage shared decision making. Lastly, the patients interact with a website that collects their longitudinal behavior data and allows them to visualize their progress over time and compare their progress with other study members. The finalized ADAPT system is now being piloted in a small randomized control trial of providers using the system with prediabetes patients over a six-month period.

conclusionsThe ADAPT system combines the influential powers of shared goal setting and feedback, tailoring, modeling, contracting, reminders, and social comparisons to integrate evidence-based behavior-change principles into the electronic health record to maximize provider counseling efficacy during routine primary care clinical encounters. If successful, the ADAPT system may represent an adaptable and scalable technology-enabled behavior-change tool for all primary care providers.

trial registrationClinicalTrials.gov Identifier NCT01473654.

Indexed as

Randomized Controlled Trials as TopicResearch DesignCounselingDiabetes MellitusElectronic Health RecordsHealth BehaviorHealth PromotionHumansLife StyleObesityPrimary Health CareRisk Reduction BehaviorTreatment Outcome

Identifiers

PMID22269066
PMCPMC3274467
OpenAlexW2121788992

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.