Evidence map›Paper›PMID 22842775›Full record

Trial reportJournal of medical Internet research2012

Use of email and telephone prompts to increase self-monitoring in a Web-based intervention: randomized controlled trial.

Mary L Greaney, Kim Sprunck-Harrild, Gary G Bennett, Elaine Puleo, Jess Haines, K Vish Viswanath, Karen M Emmons

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01415492 (Multiple Risk Behavior Intervention in Health Care Settings), which is not on this map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
7.8field-weighted citation impact, top 3% 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.

NCT01415492 nacompletednot on this map

Multiple Risk Behavior Intervention in Health Care Settings

TypeinterventionalSponsorDana-Farber Cancer InstituteRan2009 to 2012Enrolled2,440ConditionsHealth Behavior, Risk Reduction BehaviorArmsHD2, HD2+
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  5. Exploring the "active ingredients" of an online smoking intervention: a randomized factorial trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2014
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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

7 authors at 4 institutions in 2 countries.

Mary L GreaneyCenter for Community-Based Research, Dana-Farber Cancer Institute, Boston, MA, United States. mary_greaney@dfci.harvard.edu
Kim Sprunck-Harrild
Gary G Bennett
Elaine Puleo
Jess Haines
K Vish Viswanath
Karen M Emmons
Dana-Farber Cancer Institute · USDuke University · USUniversity of Guelph · CAUniversity of Massachusetts Amherst · US

Funding

Multiple Risk Behavior Intervention in Health Care SettingsR01CA123228 · NCI · DANA-FARBER CANCER INST · PI EMMONS, KAREN M. · 2007 to 2011
$3.3M
Dissemination Research to Reduce Cancer DisparitiesK05CA124415 · NCI · DANA-FARBER CANCER INST · PI EMMONS, KAREN M. · 2007 to 2011
$810k
NCI NIH HHS 1K05CA124415NCI NIH HHS K05 CA124415NCI NIH HHS R01 CA123228
6 · The paper itself

Abstract

backgroundSelf-monitoring is a key behavior change mechanism associated with sustained health behavior change. Although Web-based interventions can offer user-friendly approaches for self-monitoring, engagement with these tools is suboptimal. Increased use could encourage, promote, and sustain behavior change.

objectiveTo determine whether email prompts or email plus telephone prompts increase self-monitoring of behaviors on a website created for a multiple cancer risk reduction program.

methodsWe recruited and enrolled participants (N = 100) in a Web-based intervention during a primary care well visit at an urban primary care health center. The frequency of daily self-monitoring was tracked on the study website. Participants who tracked at least one behavior 3 or more times during week 1 were classified as meeting the tracking threshold and were assigned to the observation-only group (OO, n = 14). This group was followed but did not receive prompts. Participants who did not meet the threshold during week 1 were randomly assigned to one of 2 prompting conditions: automated assistance (AA, n = 36) or automated assistance + calls (AAC, n = 50). During prompting periods (weeks 2-3), participants in the AA and AAC conditions received daily automated emails that encouraged tracking and two tailored self-monitoring reports (end of week 2, end of week 3) that provided feedback on tracking frequency. Individuals in the AAC condition also received two technical assistance calls from trained study staff. Frequency of self-monitoring was tracked from week 2 through week 17.

resultsSelf-monitoring rates increased in both intervention conditions during prompting and declined when prompting ceased. Over the 16 weeks of observation, there was a significant between-group difference in the percentage who met the self-monitoring threshold each week, with better maintenance in the AAC than in the AA condition (P < .001). Self-monitoring rates were greater in the OO group than in either the AA or AAC condition (P < .001).

conclusionsPrompting can increase self-monitoring rates. The decrease in self-monitoring after the promoting period suggests that additional reminder prompts would be useful. The use of technical assistance calls appeared to have a greater effect in promoting self-monitoring at a therapeutic threshold than email reminders and the tailored self-monitoring reports alone.

trial registrationClinicalTrials.gov NCT01415492; http://clinicaltrials.gov/ct2/show/NCT01415492 (Archived by WebCite at http://www.webcitation.org/68LOXOMe2).

Indexed as

Health BehaviorInternetSelf CareAdultAgedAged, 80 and overBostonElectronic MailFemaleHumansMaleMiddle AgedNeoplasmsRisk Reduction BehaviorTelephoneYoung Adult

Identifiers

PMID22842775
PMCPMC3415265
OpenAlexW2060363541

What OpenQuestion holds

Textmetadata
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.