Dataset Information

A Comparative Effectiveness Trial of Three Walking Self-monitoring Strategies.

ABSTRACT: Walking programs improve health outcomes in adults at risk for cardiovascular disease and self-monitoring strategies can improve adherence to such programs. The objective of this study was to determine if a six-month internet-based walking program using web-enhanced pedometers results in more weight loss than walking programs based on time or simple pedometer-step count goals in adults with or at risk for cardiovascular disease (CVD).This was a multi-site, randomized controlled trial of 255 male Veterans who were ambulatory, insufficiently active, BMI ? 28, and who reported 1 ? CVD risk factors. Participants were randomized to one of three self-monitoring strategies to increase walking: (1) time-based walking goals; (2) simple pedometer-based walking goals; and (3) web-enhanced pedometer feedback goals with Internet-mediated feedback. All participants also attended five individual weight loss sessions with a dietitian. The main outcome measure was change in weight at six months (kg) and secondary outcomes were change in accelerometer-measured physical activity (min) and change in health-related quality of life at six months.The 255 participants had a mean age of 56.3 years (SD = 10.0), BMI=36.3 (SD = 5.3) with a mean of 5.2 (SD = 2.3) medical comorbidities. Dropouts were distributed evenly across the three groups and 72% of participants completed the program. At six months, participants in the web-enhanced pedometer arm lost significantly more weight (-1.9 kg, 95% CI=-2.7, -1.1) than those in the time-based group (-0.7 kg, 95% CI=-1.5, 0.0; p = 0.04) and simple pedometer group (-0.6 kg, 95% CI=-1.4, 0.2; p = 0.02).Internet-enhanced pedometers result in greater weight loss in Veterans than walking programs using time-based walking goals or simple pedometers.

SUBMITTER: Richardson CR

PROVIDER: S-EPMC5435380 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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A Comparative Effectiveness Trial of Three Walking Self-monitoring Strategies.

Richardson Caroline R CR Goodrich David E DE Larkin Angela R AR Ronis David D Holleman Robert G RG Damschroder Laura J LJ Lowery Julie C JC

Translational journal of the American College of Sports Medicine 20161101 15

<h4>Purpose</h4>Walking programs improve health outcomes in adults at risk for cardiovascular disease and self-monitoring strategies can improve adherence to such programs. The objective of this study was to determine if a six-month internet-based walking program using web-enhanced pedometers results in more weight loss than walking programs based on time or simple pedometer-step count goals in adults with or at risk for cardiovascular disease (CVD).<h4>Methods</h4>This was a multi-site, randomi ...[more]

PMID: 28529971

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Project description:Background: A self-monitoring approach utilizing fitness trackers that provide feedback regarding physical activities has been recently applied to rehabilitation patients to promote voluntary walking activities. Although this approach has been proven to increase physical activity, it is uncertain whether the intervention improves walking ability. Aim: This review investigated whether the additional self-monitoring approach using activity trackers would improve walking ability in any type of rehabilitation setting. Methods: A systematic search was performed in four databases [PubMed (MEDLINE), The Cochrane Library, SPORTDiscus, and Cumulative Index to Nursing and Allied Health Literature] to identify studies that examined the self-monitoring approach combined with rehabilitative intervention vs. the same rehabilitative intervention only in participants with any unhealthy conditions. Two review authors independently assessed the eligibility of all the retrieved English literature published from 2009 to 2019, then discussed the final inclusion. The risk of bias was assessed referring to the criteria of the Cochrane Risk of Bias tool. The key findings were synthesized using narrative synthesis. In addition, a quantitative synthesis was conducted when more than two studies investigating the same disease were identified. Results: Eleven randomized controlled trials satisfied the eligibility criteria, nine of which had a lower risk of bias. The types of diseases included stroke, chronic obstructive pulmonary disease (COPD), cancer, Parkinson's disease, hemophilia, peripheral artery disease, post-total knee arthroplasty, and geriatric rehabilitation. Eight studies reported measures of walking endurance and four reported measures of gait speed. In the quantitative synthesis of two studies investigating COPD, there was a significant between-group difference in terms of changes in the 6-min walking distance from the baseline, which was favorable to the additional self-monitoring intervention group (mean difference: 13.1 m; 95% confidence interval, 1.8-24.5; 2 studies, 124 participants; p = 0.02; I 2 = 0%). Other available data revealed no consistent evidence regarding effectiveness of the intervention. Conclusions: The findings indicate that there is little evidence suggesting the effectiveness of the self-monitoring approach in improving walking ability in rehabilitation settings. However, a weak recommendation for patients with stable COPD was implicated in the quantitative synthesis. Further research would be required to explore the best indications for this self-monitoring approach. Systematic Review Registration: CRD 42020157695.

Project description:BackgroundSelf-monitoring of dietary intake is a valuable component of behavioral weight loss treatment; however, it declines quickly, thereby resulting in suboptimal treatment outcomes.ObjectiveThis study aimed to examine a novel behavioral weight loss intervention that aims to attenuate the decline in dietary self-monitoring engagement.MethodsGoalTracker was an automated randomized controlled trial. Participants were adults with overweight or obesity (n=105; aged 21-65 years; body mass index, BMI, 25-45 kg/m2) and were randomized to a 12-week stand-alone weight loss intervention using the MyFitnessPal smartphone app for daily self-monitoring of either (1) both weight and diet, with weekly lessons, action plans, and feedback (Simultaneous); (2) weight through week 4, then added diet, with the same behavioral components (Sequential); or (3) only diet (App-Only). All groups received a goal to lose 5% of initial weight by 12 weeks, a tailored calorie goal, and automated in-app reminders. Participants were recruited via online and offline methods. Weight was collected in-person at baseline, 1 month, and 3 months using calibrated scales and via self-report at 6 months. We retrieved objective self-monitoring engagement data from MyFitnessPal using an application programming interface. Engagement was defined as the number of days per week in which tracking occurred, with diet entries counted if ≥800 kcal per day. Other assessment data were collected in-person via online self-report questionnaires.ResultsAt baseline, participants (84/100 female) had a mean age (SD) of 42.7 (11.7) years and a BMI of 31.9 (SD 4.5) kg/m2. One-third (33/100) were from racial or ethnic minority groups. During the trial, 5 participants became ineligible. Of the remaining 100 participants, 84% (84/100) and 76% (76/100) completed the 1-month and 3-month visits, respectively. In intent-to-treat analyses, there was no difference in weight change at 3 months between the Sequential arm (mean -2.7 kg, 95% CI -3.9 to -1.5) and either the App-Only arm (-2.4 kg, -3.7 to -1.2; P=.78) or the Simultaneous arm (-2.8 kg, -4.0 to -1.5; P=.72). The median number of days of self-monitoring diet per week was 1.9 (interquartile range [IQR] 0.3-5.5) in Sequential (once began), 5.3 (IQR 1.8-6.7) in Simultaneous, and 2.9 (IQR 1.2-5.2) in App-Only. Weight was tracked 4.8 (IQR 1.9-6.3) days per week in Sequential and 5.1 (IQR 1.8-6.3) days per week in Simultaneous. Engagement in neither diet nor weight tracking differed between arms.ConclusionsRegardless of the order in which diet is tracked, using tailored goals and a commercial mobile app can produce clinically significant weight loss. Stand-alone digital health treatments may be a viable option for those looking for a lower intensity approach.Trial registrationClinicalTrials.gov NCT03254953; https://clinicaltrials.gov/ct2/show/NCT03254953 (Archived by WebCite at http://www.webcitation.org/72PyQrFjn).

Project description:BackgroundAutomated measurement of blood pressure (BP) in designated BP kiosks have in recent years been introduced in primary care. If kiosk blood pressure (BP) monitoring provides results equivalent to in-office BP or daytime ambulatory BP monitoring (ABPM), follow-up of adult patients could be managed primarily by self-checks. We therefore designed a comparative trial and evaluated the diagnostic performance of kiosk- and office-based BP (nurse- versus physician-measured) compared with daytime ABPM.MethodsA trial of automated BP monitoring in three settings: a designated BP kiosk, by nurses and physicians in clinic, and by ABPM. The primary outcome was systolic and diastolic BP, with respective diagnostic thresholds of ≥135 mmHg and/or ≥ 85 mmHg for daytime ABPM and kiosk BP and ≥ 140 mmHg and/or ≥ 90 mmHg for office BP (nurse- and physician-measured).ResultsCompared with daytime ABPM, mean systolic kiosk BP was higher by 6.2 mmHg (95% confidence interval [CI] 3.8-8.6) and diastolic by 7.9 mmHg (95% CI 6.2-9.6; p < 0.001). Mean systolic BP taken by nurses was similar to daytime ABPM values (+ 2.0 mmHg; 95% CI - 0.2-4.2; p = 0.071), but nurse-measured diastolic values were higher, by 7.2 mmHg (95% CI 5.9-9.6; p < 0.001). Mean systolic and diastolic physician-measured BPs were higher compared with daytime ABPM (systolic, by 7.6 mmHg [95% CI 4.5-10.2] and diastolic by 5.8 mmHg [95% CI 4.1-7.6]; p < 0.001). Receiver operating characteristic curves of BP monitoring across pairs of systolic/diastolic cut-off levels among the three settings, with daytime ABPM as reference, demonstrated overall similar diagnostic performance between kiosk and nurse-measured values and over the curve performance for physician-measured BP. Accuracy with nurse-measured BP was 69.2% (95% CI 60.0-77.4%), compared with 65.8% (95% CI 56.5-74.3%) for kiosk BP.ConclusionsIn this study kiosk BP monitoring was not comparable to daytime ABPM but could be an alternative to in-office BP monitoring by trained nurses. The diagnostic performance of kiosk and nurse-measured BP monitoring was similar and better than that of physician-measured BP.Trial registrationClinicalTrials.gov (NCT04488289) 27/07/2020.

Project description:Colorectal cancer (CRC) is the 2nd leading cause of cancer death in the US, though CRC death can be reduced by screening. However, there is uncertainty as to which screening strategy is most clinically and cost-effective from a population perspective where the aim is to optimize completion of the entire screening process continuum. Modeling studies suggest benefits and harms of colonoscopy and stool blood test strategies are similar, but generally assume 100% participation and subsequent clinically appropriate follow up--something never achieved in clinical practice. Comparative effectiveness studies of testing strategies, including comparisons of specific tests and approaches to optimizing effective test use, are necessary. Safety-net health systems care for populations at increased risk for adverse CRC outcomes, such as the uninsured and minorities, and have more limited resources. Therefore, safety-nets must resolve the uncertainty regarding the most effective screening strategy. The investigators will conduct a system-level, randomized comparative effectiveness trial of the benefits, harms, and costs of 3 screening strategies over 3 years, among 6000 patients age 50-64 years, who are not up-to-date with CRC screening, served by a large safety net health system. The three strategies studied will be: 1) Fecal immunochemical testing, with annual mailed invitation outreach (including a test kit), and a centralized process to promote participation and complete clinical follow up (FIT); 2) Colonoscopy, with annual mailed invitation outreach, and a centralized process to promote participation and complete clinical follow up (Colo); 3) Usual Care, with no mailed invitation outreach, and screening offered at primary care visits. The primary measure of benefit will be an outcome measure that summarizes patient-specific effective screening successes. The primary measure of harm will be screening non-participation. The primary measure of cost will be cost per-patient effectively screened. Our specific aims are to: 1) Compare benefits, harms, and costs of a FIT strategy versus a Colo strategy for CRC screening among patients not up-to-date with screening, and 2) Compare benefits, harms, and costs of a) the FIT strategy vs. Usual Care and b) the Colo strategy vs. Usual Care for CRC screening.

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Dataset Information

A Comparative Effectiveness Trial of Three Walking Self-monitoring Strategies.

Publications

A Comparative Effectiveness Trial of Three Walking Self-monitoring Strategies.

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