Evidence map›Paper›PMID 34722861›Full record

ArticleJournal of technology in behavioral science2021

Primary care clinicians' perspectives on clinical decision support to enhance outcomes of online obesity treatment in primary care: A qualitative formative evaluation.

Hallie M Espel-Huynh, Carly M Goldstein, Olivia L Finnegan, A Rani Elwy, Rena R Wing, J Graham Thomas

Open access · greenAbstract read
In one paragraph

Article in Journal of technology in behavioral science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 22% 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.

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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Hallie M Espel-HuynhWeight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI, USA.
Carly M GoldsteinWeight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI, USA.
Olivia L FinneganWeight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI, USA.
A Rani ElwyDepartment of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
Rena R WingWeight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI, USA.
J Graham ThomasWeight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI, USA.
Brown University · USUniversity of Rhode Island · US

Funding

Training in Behavioral & Preventive MedicineT32HL076134 · NHLBI · MIRIAM HOSPITAL · PI John Graham Thomas · 2006 to 2026
$5.7M
Pragmatic Trial of Technology-Supported Behavioral Obesity Treatment in the Primary Care Setting: A Multiphase Effectiveness and Implementation Hybrid DesignR18DK114715 · NIDDK · MIRIAM HOSPITAL · PI THOMAS, JOHN GRAHAM, WING, RENA R · 2017 to 2020
$2.6M
Optimization and Evaluation of a Tailored Behavioral eHealth/mHealth Weight Loss Intervention for Cardiac Rehabilitation Patients Using the Multiphase Optimization StrategyK23HL136845 · NHLBI · MIRIAM HOSPITAL · PI GOLDSTEIN, CARLY MICHELLE · 2018 to 2022
$930k
NHLBI NIH HHS K23 HL136845NHLBI NIH HHS T32 HL076134NIDDK NIH HHS R18 DK114715
6 · The paper itself

Abstract

objectiveOnline behavioral treatment for obesity produces clinically-meaningful weight losses among many primary care patients. However, some patients experience poor outcomes (i.e., failure to enroll post-referral, poor weight loss, or premature disengagement). This study sought to understand primary care clinicians' perceived utility of a clinical decision support system (CDSS) that would alert clinicians to patients' risk for poor outcome and guide clinician-delivered rescue interventions to reduce risk.

methodsQualitative formative evaluation was conducted in the context of an ongoing pragmatic clinical trial implementing online obesity treatment in primary care. Interviews were conducted with 14 nurse care managers (NCMs) overseeing patients' online obesity treatment. Interviews inquired about the potential utility of CDSS in primary care, desired alert frequency/format, and priorities for alert types (non-enrollment, poor weight loss, and/or early disengagement). We used matrix analysis to generate common themes across interviews.

resultsNearly all NCMs viewed CDSS as potentially helpful in clinical practice. Alerts for patients at risk for disengagement were of highest priority, though all alert types were generally viewed as desirable. Regarding frequency and delivery mode of patient alerts, NCMs wanted to balance the need for prompt patient intervention with minimizing clinician burden. Concerns about CDSS emerged, including insufficient time to respond promptly and adequately to alerts and the need to involve other support staff for patients requiring ongoing rescue intervention.

conclusionsNCMs view CDSS for online obesity treatment as potentially feasible and clinically useful. For optimal implementation in primary care, CDSS must minimize clinician burden and facilitate collaborative care.

Indexed as

decision support systems—clinicalobesityprimary health careweight loss

Identifiers

PMID34722861
PMCPMC8555757
OpenAlexW3152995229

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.