Evidence map›Paper›PMID 33949954›Full record

ArticleJMIR formative research2021

Counselor Efficiency at Providing Feedback in a Technology-Based Behavioral Weight Loss Intervention: Longitudinal Analysis.

Margaret C Fahey, Robert C Klesges, Mehmet Kocak, Leslie A Gladney, Gerald W Talcott, Rebecca A Krukowski

Registry-linked trialAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02063178 (Dissemination of the Look Ahead Weight Management Treatment in the Military), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT02063178 nacompletednot on this map

Dissemination of the Look Ahead Weight Management Treatment in the Military

TypeinterventionalSponsorUniversity of TennesseeRan2014 to 2018Enrolled248ConditionsOverweight, ObesityArmsPhone-based sessions (28 total) on a structured schedule, Phone-based sessions upon request, Weight self-monitoring, Dietary and physical activity self-monitoring, Scheduled tailored interventionist feedback
3 · Its place in the literature

Who cites it

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

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

Margaret C FaheyPsychology Department, The University of Memphis, Memphis, TN, United States.ORCID https://orcid.org/0000-0002-8672-8785
Robert C KlesgesSchool of Medicine, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0003-1314-5092
Mehmet KocakDepartment of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID https://orcid.org/0000-0002-3386-1734
Leslie A GladneySchool of Medicine, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0001-9006-4902
Gerald W TalcottSchool of Medicine, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-5954-4921
Rebecca A KrukowskiDepartment of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.ORCID https://orcid.org/0000-0001-9193-2783

Funding

Dissemination of the Look Ahead Weight Management Treatment in the MilitaryR01DK097158 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI KRUKOWSKI, REBECCA A. · 2012 to 2016
$2.9M
NIDDK NIH HHS R01 DK097158
6 · The paper itself

Abstract

backgroundFeedback for participants' self-monitoring is a crucial and costly component of technology-based weight loss interventions. Detailed examination of interventionist time when reviewing and providing feedback for online self-monitoring data is lacking.

objectiveThe aim of this study was to longitudinally examine the time counselors spent providing feedback on participant self-monitoring data (ie, diet, physical activity, weight) in a 12-month technology-based weight loss intervention. We hypothesized that counselors would compose feedback for participants more quickly over time.

methodsThe time the lay counselors (N=10) spent reviewing self-monitoring records and providing feedback to participants via email was longitudinally examined for all counselors across the three years of study implementation. Descriptives were observed for counselor feedback duration across counselors by 12 annual quarters (ie, 3-month periods). Differences in overall duration times by each consecutive annual quarter were analyzed using Wilcoxon-Mann-Whitney tests.

resultsThere was a decrease in counselor feedback duration from the first to second quarter (mean 53 to 46 minutes; P<.001), and from the second to third (mean 46 to 30 minutes; P<.001). A trend suggested a decrease from the third to fourth quarter (mean 30 to 26 minutes; P=.053), but no changes were found in subsequent quarters. Consistent with the hypothesis, counselors may be increasing their efficiency in providing feedback; across 12 months, counselors spent less time reviewing participant self-monitoring and composing feedback (decreasing from mean 53 to 26 minutes).

conclusionsCounselors used increasingly less time to review online self-monitoring data and compose feedback after the initial 9 months of study implementation. Results inform counselor costs for future technology-based behavioral weight loss interventions. For example, regardless of increasing counselor efficiency, 25-30 minutes per feedback message is a high cost for interventions. One possibility for reducing costs would be generating computer-automated feedback.

trial registrationClinicalTrials.gov NCT02063178; https://clinicaltrials.gov/ct2/show/NCT02063178.

Indexed as

counselorcounselor communicationcounselor feedbacklifestyletechnology-based interventionweight losswellness

Identifiers

PMID33949954
PMCPMC8135027

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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.