Adoption, reach and effectiveness of computer-based, practitioner delivered and combined smoking interventions in general medical practices: A three-arm cluster randomized trial

Meyer, Christian; Ulbricht, Sabina; Groß, Beatrice; Kästel, Lissy; Wittrien, Sabine; Klein, Gudrun; Skoeries, Britta A.; Rumpf, Hans‐Jürgen; John, Ulrich

doi:10.1016/j.drugalcdep.2011.08.019

Cited by 24 publications

(15 citation statements)

References 39 publications

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“…In support of this, the participants who completed the coaching sessions were not only more satisfied with the program, but had significantly higher retention, higher adherence, and spent a significantly longer time on the website. This is in line with past research, demonstrating that personal contact in a Web-based intervention improves engagement [46,47]. However, it is possible that the coaching sessions are only effective in some people, and that the coaching sessions in this study may have retained a subsample of participants who were frequent Web users and therefore familiar with video-calling software or were more motivated to begin with.…”

Section: Discussionsupporting

confidence: 85%

Web-Based Video-Coaching to Assist an Automated Computer-Tailored Physical Activity Intervention for Inactive Adults: A Randomized Controlled Trial

Alley¹,

Jennings²,

Plotnikoff³

et al. 2016

J Med Internet Res

111

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BackgroundWeb-based physical activity interventions that apply computer tailoring have shown to improve engagement and behavioral outcomes but provide limited accountability and social support for participants. It is unknown how video calls with a behavioral expert in a Web-based intervention will be received and whether they improve the effectiveness of computer-tailored advice.ObjectiveThe purpose of this study was to determine the feasibility and effectiveness of brief video-based coaching in addition to fully automated computer-tailored advice in a Web-based physical activity intervention for inactive adults.MethodsParticipants were assigned to one of the three groups: (1) tailoring + video-coaching where participants received an 8-week computer-tailored Web-based physical activity intervention (“My Activity Coach”) including 4 10-minute coaching sessions with a behavioral expert using a Web-based video-calling program (eg, Skype; n=52); (2) tailoring-only where participants received the same intervention without the coaching sessions (n=54); and (3) a waitlist control group (n=45). Demographics were measured at baseline, intervention satisfaction at week 9, and physical activity at baseline, week 9, and 6 months by Web-based self-report surveys. Feasibility was analyzed by comparing intervention groups on retention, adherence, engagement, and satisfaction using t tests and chi-square tests. Effectiveness was assessed using linear mixed models to compare physical activity changes between groups.ResultsA total of 23 tailoring + video-coaching participants, 30 tailoring-only participants, and 30 control participants completed the postintervention survey (83/151, 55.0% retention). A low percentage of tailoring + video-coaching completers participated in the coaching calls (11/23, 48%). However, the majority of those who participated in the video calls were satisfied with them (5/8, 71%) and had improved intervention adherence (9/11, 82% completed 3 or 4 modules vs 18/42, 43%, P=.01) and engagement (110 minutes spent on the website vs 78 minutes, P=.02) compared with other participants. There were no overall retention, adherence, engagement, and satisfaction differences between tailoring + video-coaching and tailoring-only participants. At 9 weeks, physical activity increased from baseline to postintervention in all groups (tailoring + video-coaching: +150 minutes/week; tailoring only: +123 minutes/week; waitlist control: +34 minutes/week). The increase was significantly higher in the tailoring + video-coaching group compared with the control group (P=.01). No significant difference was found between intervention groups and no significant between-group differences were found for physical activity change at 6 months.ConclusionsOnly small improvements were observed when video-coaching was added to computer-tailored advice in a Web-based physical activity intervention. However, combined Web-based video-coaching and computer-tailored advice was effective in comparison with a control group. More research is needed to ...

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Section: Discussionsupporting

confidence: 85%

Web-Based Video-Coaching to Assist an Automated Computer-Tailored Physical Activity Intervention for Inactive Adults: A Randomized Controlled Trial

Alley¹,

Jennings²,

Plotnikoff³

et al. 2016

J Med Internet Res

111

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“…Future research should examine the ability of similar technology to screen for and address one or more of a broad range of behavioral targets, particularly in a sequential manner throughout healthcare settings. Future research should also carefully evaluate the relative strengths and weaknesses of e-SBI vs. traditional SBI, in terms of effectiveness and cost as well as reach (see Meyer et al, 2012 for an excellent example of reach analysis). Analysis of all three of these key outcomes can facilitate the all-important goal of population-wide decreases in drug use in the perinatal period.…”

Section: Discussionmentioning

confidence: 99%

Computer-delivered screening and brief intervention (e-SBI) for postpartum drug use: A randomized trial

Ondersma

Svikis

Thacker

et al. 2014

Journal of Substance Abuse Treatment

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Electronic screening and brief intervention (e-SBI) approaches for substance use have shown early promise. This trial was designed to replicate previous findings from a single 20-minute e-SBI for drug use among postpartum women. A total of 143 postpartum, primarily low-income African-American women meeting criteria for drug use, were randomly assigned to either a tailored e-SBI or a time-matched control condition. Blinded follow-up evaluation 3- and 6-months following childbirth revealed strong effects for confirmed illicit drug use abstinence at the 3-month observation (OR = 3.3, p = .01), as did hair analysis at 6 months (OR = 4.8, p = .018). Additional primary outcomes suggested small to moderate effect sizes in favor of the e-SBI, but did not reach significance. This result replicates previous findings but fails to show durable effects. Assessment reactivity, e-SBI design, and possible extension of e-SBI via tailored messaging all merit careful consideration.

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“…One way to improve cost–benefit ratio is the use of a systematic proactive screening approach aiming at multiple health risk factors. Especially when combined with computer‐based counseling systems, which provide an effective and timesaving alternative to face‐to‐face counseling by physicians (Krebs, Prochaska, & Rossi, ; Meyer et al, ), it may ease implementation into routine care. Screening and intervention on multiple health risk factors is highly adequate because the majority of the adult population reports multiple health risk factors (Fine, Philogene, Gramling, Coups, & Sinha, ; John, Hanke, & Freyer‐Adam, ).…”

Section: Introductionmentioning

confidence: 99%

Proactive multipurpose health risk screening in health care settings: Methods, design, and reach

Guertler

Moehring

Krause

et al. 2019

Int J Methods Psych Res

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Objectives Real world implementation of proactive screening and brief intervention in health care is threatened by high cost. Using e‐health interventions and screening for multiple health risk factors may provide more efficiency. We describe methodological details of a proactive multipurpose health risk screening in health care settings and report on participation rates, participants' characteristics, and participation factors. Methods Patients between 18 and 64 years from ambulatory practices and hospitals were proactively approached by study assistants at three sites for a computerized screening on harmful alcohol and tobacco consumption, depressive symptoms, insufficient fruit/vegetable consumption, physical inactivity and overweight. On the basis of their health risk pattern, a computerized algorithm allocated patients to one of five studies each of them addressing a psychiatric research question. Results Among all eligible patients, 13,763 (86.5%) were screened. Younger age and being female predicted screening participation. Of those with complete data (n = 12,828), 82.9% reported at least two health risks and 34.0% were eligible for a study. Study participation ranged between 35.2% and 50.8%, and was associated with socio‐demographics and problem severity. Conclusions This study supports the use of systematic proactive screening for multiple health risks in health care settings as it is more resource‐saving than single focused screening.

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Adoption, reach and effectiveness of computer-based, practitioner delivered and combined smoking interventions in general medical practices: A three-arm cluster randomized trial

Cited by 24 publications

References 39 publications

Web-Based Video-Coaching to Assist an Automated Computer-Tailored Physical Activity Intervention for Inactive Adults: A Randomized Controlled Trial

Web-Based Video-Coaching to Assist an Automated Computer-Tailored Physical Activity Intervention for Inactive Adults: A Randomized Controlled Trial

Computer-delivered screening and brief intervention (e-SBI) for postpartum drug use: A randomized trial

Proactive multipurpose health risk screening in health care settings: Methods, design, and reach

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