AB0354 STEPPING UP FOR INFLAMMATORY ARTHRITIS: A PILOT TRIAL TO TEST BEHAVIORAL ECONOMICS STRATEGY TO INCREASE PHYSICAL ACTIVITY IN INFLAMMATORY ARTHRITIS

Background:Regular physical activity may have benefits for patients with rheumatoid arthritis (RA) and psoriatic arthritis (PsA), but patients with active disease are often reluctant to increase activity. Principles from behavioral economics (BE), a field combining psychology and economics, have been applied to motivate increased physical activity in non-arthritis patients.1No published studies have examined the application of BE concepts in rheumatology to promote exercise.Objectives:To assess the feasibiility and efficacy of a loss aversion financial incentive for increasing step counts and improving disease symptoms in RA and PsA patients with active disease.Methods:A randomized controlled pilot trial was performed among patients with RA and PsA. Participants were required to have active disease defined by having at least one swollen joint and a Routine Assessment of Patient Index Data-3 (RAPID3) score>3 (range 0-30 with <3 indicating remission). The trial included two visits (baseline and 14-week) and weekly check-ins via virtual trial platforms, Way to Health and the ArthritisPower app. Patients were given a Fitbit Alta at baseline and completed a two-week run-in period to assess average step count. Patients were then prompted to select a step count goal and complete a commitment contract. After selection of a goal, participants randomized to the intervention arm received a financial loss aversion incentive (each month, patients started with $75 in their account and lost $2.50 for each day they did not reach their goal). Patients were blinded to the other study arm and investigators were blinded to assignment. All patients received weekly text message prompts providing feedback about their performance over the previous week, completed weekly PROs, and had the opportunity to report adverse events including flares of joint pain. After 12 weeks of the intervention (at week 14), the incentive was removed and patients were followed to 26 weeks to determine how long the effect persisted.Results:In the pilot trial, 71 patients were verbally consented for screening, 34 underwent screening (of these, two were ineligible), 27 were randomized, and 22 patients completed the 14-week study visit. Mean age of participants was 50 (SD 13), 85% were female, 17(63%) had PsA, mean BMI was 30.6 and mean swollen (0-66) and tender (0-68) joint counts were 6.2 (5.6) and 8.1 (9.1), respectively. Baseline RAPID3 was 10.5 (SD 4.6) and the mean step count at baseline was 5,962. By 28 days, 65% of patients increased their step count. Participants receiving the incentive had an average of 714 more steps per day over the first 14 weeks and a greater probability of reaching 10,000 steps per day during follow-up (30% v. 21%, p=0.41). Among patients who achieved their step count goals more than 50% of days, we observed more improvement in sleep quality, fatigue, and overall well-being (p<0.05) (Figure 1). After adjusting for baseline RAPID3, the 14-week RAPID3 scores were lower in the group that achieved their step goals 50% of the time [B: -3.91 (-11.8, 3.99); a difference that approximates the minimal clinically important difference (MCID) for the RAPID3 (3.6).Figure 1.Change in fatigue severity among those with greater adherence to step count goals.Conclusion:While financial incentives have worked well in patients without arthritis, the estimated effect of the financial incentive in this small study was more modest in patients with RA and PsA. Those that were able to increase their physical activity and meet their step goals had greater improvements in symptoms over the course of the study. These data support further study in this area to promote physical activity by leveraging concepts from behavioral economics.References:[1]Ogdie & Asch. Nat Rev Rheumatol. 2019Disclosure of Interests:Alexis Ogdie Grant/research support from: Pfizer, Novartis, Consultant of: Abbvie, Amgen, BMS, Celgene, Corrona, Janssen, Lilly, Pfizer, Novartis, Mitesh Patel Shareholder of: Owner, Catalyst Health LLC, Consultant of: Advisory Board Member for Healthmine Services, Life.io, Holistic Industries, Jeffrey Curtis Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB, Kelly Gavigan: None declared, W. Benjamin Nowell: None declared, Joshua Baker: None declared

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Race Differences in Physical Activity Uptake Within a Workplace Wellness Program: A Comparison of Black and White Employees

American Journal of Health Promotion ◽

10.1177/0890117119833341 ◽

2019 ◽

Vol 33 (6) ◽

pp. 886-893 ◽

Cited By ~ 3

Author(s):

Samantha M. Meints ◽

Heidi Y. Yang ◽

Jamie E. Collins ◽

Jeffrey N. Katz ◽

Elena Losina

Keyword(s):

Physical Activity ◽

Financial Incentives ◽

Financial Incentive ◽

Medical Center ◽

Academic Medical Center ◽

Analysis Of Covariance ◽

White Female ◽

Black And White ◽

Steps Per Day ◽

Black Employees

Purpose: To examine differences in physical activity (PA) uptake between black and white employees during a financial incentive-based workplace intervention. Design: Prospective cohort study from July 2014 to June 2015 (NCT02850094). Setting: Tertiary academic medical center. Participants: Forty-three black and 182 white nonclinical employees. Intervention: Participants self-selected or were assigned to teams. Participants completed a 24-week intervention receiving rewards for meeting weekly PA goals (increasing moderate-to-vigorous PA [MVPA] by 10% from previous week or meeting Guidelines threshold of 150 minutes of MVPA). Measures: Outcomes included weekly MVPA in minutes, average daily step counts, number of weeks meeting personal goals and the Guidelines, and Fitbit adherence in days and weeks. Analysis: We performed an analysis of covariance for each outcome, with race as the primary independent variable of interest, adjusting for demographic and health-related covariates. Results: During the intervention, blacks walked 9128 steps per day while whites walked 7826 steps per day, a difference of approximately 1300 steps ( P < .05). Blacks also demonstrated a greater uptake in both steps and MVPA from baseline than did whites, resulting in similar MVPA throughout the intervention. Conclusions: Findings suggest that workplace PA interventions using financial incentives may result in similar engagement in MVPA among white and black employees, while black employees walk more steps during the intervention. Limitations include a primarily white female sample which may not generalize.

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Adding team-based financial incentives to the Carrot Rewards physical activity app increases daily step count on a population scale: a 24-week matched case control study

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-020-01043-1 ◽

2020 ◽

Vol 17 (1) ◽

Author(s):

Emma Pearson ◽

Harry Prapavessis ◽

Christopher Higgins ◽

Robert Petrella ◽

Lauren White ◽

...

Keyword(s):

Physical Activity ◽

Financial Incentives ◽

Step Count ◽

Daily Step ◽

Individual Level ◽

Significant Difference ◽

Daily Step Count ◽

Steps Per Day ◽

The Impact ◽

Experimental Group

Abstract Background Mobile health applications (mHealth apps) targeting physical inactivity have increased in popularity yet are usually limited by low engagement. This study examined the impact of adding team-based incentives (Step Together Challenges, STCs) to an existing mHealth app (Carrot Rewards) that rewarded individual physical activity achievements. Methods A 24-week quasi-experimental study (retrospective matched pairs design) was conducted in three Canadian provinces (pre-intervention: weeks 1–12; intervention: weeks 13–24). Participants who used Carrot Rewards and STCs (experimental group) were matched with those who used Carrot Rewards only (controls) on age, gender, province and baseline mean daily step count (±500 steps/d). Carrot Rewards users earned individual-level incentives (worth $0.04 CAD) each day they reached a personalized daily step goal. With a single partner, STC users could earn team incentives ($0.40 CAD) for collaboratively reaching individual daily step goals 10 times in seven days (e.g., Partner A completes four goals and Partner B completes six goals in a week). Results The main analysis included 61,170 users (mean age = 32 yrs.; % female = 64). Controlling for pre-intervention mean daily step count, a significant difference in intervention mean daily step count favoured the experimental group (p < 0.0001; ηp2 = 0.024). The estimated marginal mean group difference was 537 steps per day, or 3759 steps per week (about 40 walking min/wk). Linear regression suggested a dose-response relationship between the number of STCs completed (app engagement) and intervention mean daily step count (adjusted R2 = 0.699) with each new STC corresponding to approximately 200 more steps per day. Conclusion Despite an explosion of physical activity app interest, low engagement leading to small or no effects remains an industry hallmark. In this paper, we found that adding modest team-based incentives to the Carrot Rewards app increased mean daily step count, and importantly, app engagement moderated this effect. Others should consider novel small-teams based approaches to boost engagement and effects.

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Cutoff Points for Step Count to Predict 1-year All-Cause Mortality in Patients with Idiopathic Pulmonary Fibrosis

Respiration ◽

10.1159/000517030 ◽

2021 ◽

pp. 1-7

Author(s):

Kazuya Shingai ◽

Toshiaki Matsuda ◽

Yasuhiro Kondoh ◽

Tomoki Kimura ◽

Kensuke Kataoka ◽

...

Keyword(s):

Physical Activity ◽

Idiopathic Pulmonary Fibrosis ◽

Pulmonary Fibrosis ◽

Step Count ◽

Cutoff Point ◽

Daily Step ◽

All Cause Mortality ◽

Cutoff Points ◽

Daily Step Count ◽

Steps Per Day

Background: Although physical activity is associated with mortality in patients with idiopathic pulmonary fibrosis (IPF), reference values to interpret levels of physical activity are lacking. Objectives: This study aimed to investigate the prognostic significance of physical activity assessed by step count and its cutoff points for all-cause mortality. Methods: We measured physical activity (steps per day) using an accelerometer in patients with IPF at the time of diagnosis. Relationships among physical activity and mortality, as well as cutoff points of daily step count to predict all-cause mortality were examined. Results: Eighty-seven patients (73 males) were enrolled. Forty-four patients (50.1%) died during the follow-up (median 54 months). In analysis adjusting for Gender-Age-Physiology stage and 6-min walk distance, daily step count was an independent predictor of all-cause mortality (hazard ratio (HR) = 0.820, 95% confidence interval (CI) = 0.694–0.968, p = 0.019). The optimal cutoff point (receiving operating characteristic analysis) for 1-year mortality was 3,473 steps per day (sensitivity = 0.818 and specificity = 0.724). Mortality was significantly lower in patients with a daily step count exceeding 3,473 steps than in those whose count was 3,473 or less (HR = 0.395, 95% CI = 0.218–0.715, p = 0.002). Conclusions: Step count, an easily interpretable measurement, was a significant predictor of all-cause mortality in patients with IPF. At the time of diagnosis, a count that exceeded the cutoff point of 3,473 steps/day more than halved mortality. These findings highlight the importance of assessing physical activity in this patient population.

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Adding Team-Based Financial Incentives to the Carrot Rewards App Increases Daily Step Count on a Population Scale: A 24-Week Matched Pairs Study

10.21203/rs.3.rs-54028/v1 ◽

2020 ◽

Author(s):

Emma Pearson ◽

Harry Prapavessis ◽

Christopher Higgins ◽

Robert Petrella ◽

Lauren White ◽

...

Keyword(s):

Physical Activity ◽

Financial Incentives ◽

Step Count ◽

Matched Pairs ◽

Daily Step ◽

Significant Difference ◽

Daily Step Count ◽

Steps Per Day ◽

The Impact ◽

Experimental Group

Abstract Background Mobile health applications (mHealth apps) targeting physical inactivity have increased in popularity yet are usually limited by low engagement. This study examined the impact of adding team-based incentives (Step Together Challenges, STCs) to an existing mHealth app (Carrot Rewards) that rewarded individual physical activity achievements. Methods A 24-week quasi-experimental study (retrospective matched pairs design) was conducted in three Canadian provinces (pre-intervention: weeks 1–12; intervention: weeks 13–24). Participants who used Carrot Rewards and STCs (experimental group) were matched with those who used Carrot Rewards only (controls) on age, gender, province and baseline mean daily step count (± 500 steps/d). Carrot Rewards users earned individual-level incentives (worth $0.04 CAD) each day they reached a personalized daily step goal. With a single partner, STC users could earn team incentives ($0.40 CAD) for collaboratively reaching individual daily step goals 10 times in seven days (e.g., Partner A completes four goals and Partner B completes six goals in a week). Results The main analysis included 61,170 users (mean age = 32yrs; % female = 64). Controlling for pre-intervention mean daily step count, a significant difference in intervention mean daily step count favoured the experimental group (p < 0.0001; ηp2 = 0.024). The estimated marginal mean group difference was 537 steps per day, or 3759 steps per week (about 40 walking min/wk). Linear regression suggested a dose-response relationship between the number of STCs completed (app engagement) and intervention mean daily step count (adjusted R2 = 0.699) with each new STC corresponding to approximately 200 more steps per day. Conclusion Despite an explosion of physical activity app interest (100,000 + published apps), low engagement leading to small or no effects remains an industry hallmark. In this paper, we found that adding modest team-based incentives to the Carrot Rewards app increased mean daily step count, and importantly, app engagement moderated this effect. Others should consider novel small-teams based approaches to boost engagement and effects.

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Adding team-based financial incentives to the Carrot Rewards physical activity app increases daily step count on a population scale: A 24-week matched case control study

10.21203/rs.3.rs-54028/v3 ◽

2020 ◽

Author(s):

Emma Pearson ◽

Harry Prapavessis ◽

Christopher Higgins ◽

Robert Petrella ◽

Lauren White ◽

...

Keyword(s):

Physical Activity ◽

Financial Incentives ◽

Step Count ◽

Daily Step ◽

Individual Level ◽

Significant Difference ◽

Daily Step Count ◽

Steps Per Day ◽

The Impact ◽

Experimental Group

Abstract Background: Mobile health applications (mHealth apps) targeting physical inactivity have increased in popularity yet are usually limited by low engagement. This study examined the impact of adding team-based incentives (Step Together Challenges, STCs) to an existing mHealth app (Carrot Rewards) that rewarded individual physical activity achievements.Methods: A 24-week quasi-experimental study (retrospective matched pairs design) was conducted in three Canadian provinces (pre-intervention: weeks 1-12; intervention: weeks 13-24). Participants who used Carrot Rewards and STCs (experimental group) were matched with those who used Carrot Rewards only (controls) on age, gender, province and baseline mean daily step count (±500 steps/d). Carrot Rewards users earned individual-level incentives (worth $0.04 CAD) each day they reached a personalized daily step goal. With a single partner, STC users could earn team incentives ($0.40 CAD) for collaboratively reaching individual daily step goals 10 times in seven days (e.g., Partner A completes four goals and Partner B completes six goals in a week).Results: The main analysis included 61,170 users (mean age=32yrs; % female=64). Controlling for pre-intervention mean daily step count, a significant difference in intervention mean daily step count favoured the experimental group (p<0.0001; ηp2=0.024). The estimated marginal mean group difference was 537 steps per day, or 3759 steps per week (about 40 walking min/wk). Linear regression suggested a dose-response relationship between the number of STCs completed (app engagement) and intervention mean daily step count (adjusted R2=0.699) with each new STC corresponding to approximately 200 more steps per day.Conclusion: Despite an explosion of physical activity app interest, low engagement leading to small or no effects remains an industry hallmark. In this paper, we found that adding modest team-based incentives to the Carrot Rewards app increased mean daily step count, and importantly, app engagement moderated this effect. Others should consider novel small-teams based approaches to boost engagement and effects.

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AB1320-HPR THE ASSOCIATION BETWEEN PHYSICAL ACTIVITY AND CARDIORESPIRATORY FITNESS IN PATIENTS WITH RHEUMATOID ARTHRITIS AND HIGH CARDIOVASCULAR RISK

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2020-eular.4766 ◽

2020 ◽

Vol 79 (Suppl 1) ◽

pp. 1949.2-1950

Author(s):

J. Van den Hoek ◽

M. Van der Leeden ◽

G. Metsios ◽

G. Kitas ◽

H. Jorstad ◽

...

Keyword(s):

Physical Activity ◽

Cardiovascular Disease ◽

Cardiorespiratory Fitness ◽

Vigorous Physical Activity ◽

Step Count ◽

Activity Levels ◽

Daily Step ◽

Research Support ◽

Daily Step Count ◽

The Mean

Background:Rheumatoid arthritis (RA) is associated with increased risk of cardiovascular disease (CVD) disease and CV mortality1. High values of cardiorespiratory fitness (CRF) are protective against CVD and CV mortality2. Physical activity levels in patients with RA are low. Knowledge on whether physical activity is associated with CRF in patients with RA and high CV risk is scarce. This knowledge is important because improving the level of physical activity could improve CRF and lower CV risk in this group of patients with RA and high CV risk. However, it is unclear whether physical activity is associated with CRF in this group of patients. This study presents the preliminary results at baseline of the association of physical activity with CRF from an ongoing pilot study aimed at improving CRF through exercise therapy in patients with RA and high CV risk.Objectives:To determine (i) the level of physical activity in patients with RA and high CV risk and (ii) whether physical activity is associated with CRF in patients with RA and high CV risk.Methods:Patients with RA and high CV risk participated in this pilot study. Increased 10-year risk of CV mortality was determined by using the Dutch SCORE-table. Anthropometrics and disease characteristics were collected. Physical activity was assessed with an Actigraph accelerometer to determine the number of steps and intensity of physical activity expressed in terms of sedentary, light, and moderate-to-vigorous time per day. Participants wore the accelerometer for seven days. A minimum of four measurement days with a wear time of at least 10 hours was required. The VO2max measured with a graded maximal exercise test was used to determine the CRF. Pearson correlation coefficients were calculated for the associations between the different measures of physical activity and VO2max. For the variables that were associated, linear regression analysis was carried out, with pain and disease activity as possible confounders.Results:Thirteen females and five males were included in the study. The mean age was 66.5 (± 15.0) years. Only 22% of the patients met public health physical activity guidelines for the minimal amount of 150 minutes a week. The mean step count was 6237 (± 2297) steps per day and mean moderate-to-vigorous physical activity time was 16.50 (± 23.56) minutes per day. The median VO2max was 16.23 [4.63] ml·kg-1·min-1, which is under the standard. Pearson correlations showed a significant positive association for step count with VO2max. No associations were found for sedentary, light, and moderate-to-vigorous physical activity with VO2max. The significant association between step count and VO2max(p = 0.01) was not confounded by disease severity and pain.Discussion:Since better CRF protects against CVD, increasing daily step count may be a simple way to reduce the risk of CVD in patients with RA and high CV risk. However, these results need to be confirmed in a larger study group. Future research should investigate if improving daily step count will lead to better CRF levels and ultimately will lead to a reduction in CV risk in patients with RA and high CV risk.Conclusion:Physical activity levels of patients with RA and high CV risk do not meet public health requirements for physical activity criteria and the VO2max was under the standard. Step count is positively associated with CRF.References:[1]Agca et al. Atherosclerotic cardiovascular disease in patients with chronic inflammatory joint disorders. Heart. 2016;102(10):790-795.[2]Lemes et al. Cardiorespiratory fitness and risk of all-cause, cardiovascular disease, and cancer mortality in men with musculoskeletal conditions. J Phys Act Health. 2019;16;134-140.Disclosure of Interests:Joëlle van den Hoek: None declared, Marike van der Leeden: None declared, George Metsios: None declared, Georeg Kitas: None declared, Harald Jorstad: None declared, WIllem Lems Grant/research support from: Pfizer, Consultant of: Lilly, Pfizer, Michael Nurmohamed Grant/research support from: Not related to this research, Consultant of: Not related to this research, Speakers bureau: Not related to this research, Martin van der Esch: None declared

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A Randomized, Controlled Trial of Lottery-Based Financial Incentives to Increase Physical Activity Among Overweight and Obese Adults

American Journal of Health Promotion ◽

10.1177/0890117118758932 ◽

2018 ◽

Vol 32 (7) ◽

pp. 1568-1575 ◽

Cited By ~ 23

Author(s):

Mitesh S. Patel ◽

Kevin G. Volpp ◽

Roy Rosin ◽

Scarlett L. Bellamy ◽

Dylan S. Small ◽

...

Keyword(s):

Physical Activity ◽

Randomized Controlled Trial ◽

Financial Incentives ◽

Financial Incentive ◽

Controlled Trial ◽

University Of Pennsylvania ◽

Obese Adults ◽

Randomized Controlled ◽

Steps Per Day

Purpose: To evaluate the effect of lottery-based financial incentives in increasing physical activity. Design: Randomized, controlled trial. Setting: University of Pennsylvania Employees. Participants: A total of 209 adults with body mass index ≥27. Interventions: All participants used smartphones to track activity, were given a goal of 7000 steps per day, and received daily feedback on performance for 26 weeks. Participants randomly assigned to 1 of the 3 intervention arms received a financial incentive for 13 weeks and then were followed for 13 weeks without incentives. Daily lottery incentives were designed as a “higher frequency, smaller reward” (1 in 4 chance of winning $5), “jackpot” (1 in 400 chance of winning $500), or “combined lottery” (18% chance of $5 and 1% chance of $50). Measures: Mean proportion of participant days step goals were achieved. Analysis: Multivariate regression. Results: During the intervention, the unadjusted mean proportion of participant days that goal was achieved was 0.26 in the control arm, 0.32 in the higher frequency, smaller reward lottery arm, 0.29 in the jackpot arm, and 0.38 in the combined lottery arm. In adjusted models, only the combined lottery arm was significantly greater than control ( P = .01). The jackpot arm had a significant decline of 0.13 ( P < .001) compared to control. There were no significant differences during follow-up. Conclusions: Combined lottery incentives were most effective in increasing physical activity.

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Physical Activity Counseling for Adults with Hypertension: A Randomized Controlled Pilot Trial

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17176076 ◽

2020 ◽

Vol 17 (17) ◽

pp. 6076

Author(s):

Altieres E. Sousa Junior ◽

Geovani A. D. Macêdo ◽

Daniel Schwade ◽

Júlio Sócrates ◽

José W. Alves ◽

...

Keyword(s):

Physical Activity ◽

Body Composition ◽

Metabolic Profile ◽

Pilot Trial ◽

Activity Level ◽

Sitting Time ◽

Control Group ◽

Physical Activity Counseling ◽

Activity Counseling ◽

Steps Per Day

The effect of physical activity counseling (PAC) in hypertensive adults is unclear. This study investigated the effect of PAC on blood pressure (BP), physical activity level, sitting time, metabolic profile, and body composition in hypertensive adults. Twenty-two hypertensive adults (48.8 ± 7.3 years) participated in this pilot trial. The 12-week PAC was based on the 5 A’s model considering the FITT principle (Frequency, Intensity, Time, and Type) of physical activity. The control group received instructions about FITT in one face-to-face meeting at baseline. Pedometer-measured physical activity, sitting time, resting and ambulatory BP, metabolic profile (cholesterol, triglycerides, fasting glucose), and body composition (fat mass, abdominal fat, fat free mass) were assessed. The PAC group showed higher steps per day (5839 ± 992 vs. 5028 ± 902; p = 0.044) and a trend for lower sitting time (5.6 ± 1.3 vs. 8.0 ± 4.0 h/day; p = 0.059) than the control group. No changes were observed in BP, metabolic profile, and body composition (p > 0.05). In conclusion, 12 weeks of a PAC program based on the 5 A’s model resulted in a modest increase of ~800 steps per day and a trend to decrease ~2 h/day in sitting time, but there were no associated reduction in BP and improvements in metabolic and body composition.

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Feasibility of Wearable Physical Activity Monitors in Patients With Cancer

JCO Clinical Cancer Informatics ◽

10.1200/cci.17.00152 ◽

2018 ◽

pp. 1-10 ◽

Cited By ~ 10

Author(s):

Arjun Gupta ◽

Tyler Stewart ◽

Nizar Bhulani ◽

Ying Dong ◽

Zain Rahimi ◽

...

Keyword(s):

Physical Activity ◽

Systemic Therapy ◽

Performance Status ◽

Pilot Trial ◽

Eastern Cooperative Oncology Group ◽

Activity Monitors ◽

Patients With Cancer ◽

Steps Per Day ◽

Physical Activity Monitors ◽

Ecog Ps

Purpose The feasibility of using physical activity monitors (PAMs) to measure functional status in patients with cancer is unclear. We aimed to determine the feasibility of using PAMs to longitudinally assess physical activity and performance status (PS) in patients with cancer. Methods Patients with cancer who had Eastern Cooperative Oncology Group (ECOG) PS of 0 to 2 and were receiving systemic therapy were enrolled in a prospective pilot trial of PAM use. Feasibility was defined as patients using the PAM for > 50% of the observation period. We correlated PAM-reported measures with scores from ECOG PS and quality-of-life tools (Functional Assessment of Cancer Therapy–General [FACT-G], Quick Inventory of Depressive Symptoms–Self-Rated 16 [QIDS-SR16], and Brief Fatigue Inventory [BFI]) using Pearson’s correlation test. Patients were surveyed regarding their experience with PAMs at study completion. Results In all, 24 patients were enrolled; mean age was 54 years, 16 (67%) were women, and 19 (79%) were white. Twenty-three patients (96%) met the primary end point of feasibility. The median duration of follow-up was 69 days. Mean PAM-measured steps for ECOG PS of 0, 1, and 2 were 5,911, 1,890, and 845 steps per day, respectively ( P = .002). Minimum steps per day correlated with BFI ( r = –0.53; P < .01), FACT-G ( r = 0.45; P = .02), and QIDS-SR16 ( r = –0.57; P < .01). Eighteen patients (75%) reported a positive experience with the PAM. Conclusion PAMs are a feasible tool for measuring long-term physical activity in patients with cancer who are receiving systemic therapy. PAM-derived measures correlated with clinician-assessed PS.

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Adding team-based financial incentives to the Carrot Rewards physical activity app increases daily step count on a population scale: A 24-week matched case control study

10.21203/rs.3.rs-54028/v2 ◽

2020 ◽

Author(s):

Emma Pearson ◽

Harry Prapavessis ◽

Christopher Higgins ◽

Robert Petrella ◽

Lauren White ◽

...

Keyword(s):

Physical Activity ◽

Financial Incentives ◽

Step Count ◽

Daily Step ◽

Individual Level ◽

Significant Difference ◽

Daily Step Count ◽

Steps Per Day ◽

The Impact ◽

Experimental Group

Abstract Background: Mobile health applications (mHealth apps) targeting physical inactivity have increased in popularity yet are usually limited by low engagement. This study examined the impact of adding team-based incentives (Step Together Challenges, STCs) to an existing mHealth app (Carrot Rewards) that rewarded individual physical activity achievements. Methods: A 24-week quasi-experimental study (retrospective matched pairs design) was conducted in three Canadian provinces (pre-intervention: weeks 1-12; intervention: weeks 13-24). Participants who used Carrot Rewards and STCs (experimental group) were matched with those who used Carrot Rewards only (controls) on age, gender, province and baseline mean daily step count (±500 steps/d). Carrot Rewards users earned individual-level incentives (worth $0.04 CAD) each day they reached a personalized daily step goal. With a single partner, STC users could earn team incentives ($0.40 CAD) for collaboratively reaching individual daily step goals 10 times in seven days (e.g., Partner A completes four goals and Partner B completes six goals in a week). Results: The main analysis included 61,170 users (mean age=32yrs; % female=64). Controlling for pre-intervention mean daily step count, a significant difference in intervention mean daily step count favoured the experimental group (p<0.0001; ηp2=0.024). The estimated marginal mean group difference was 537 steps per day, or 3759 steps per week (about 40 walking min/wk). Linear regression suggested a dose-response relationship between the number of STCs completed (app engagement) and intervention mean daily step count (adjusted R2=0.699) with each new STC corresponding to approximately 200 more steps per day. Conclusion: Despite an explosion of physical activity app interest, low engagement leading to small or no effects remains an industry hallmark. In this paper, we found that adding modest team-based incentives to the Carrot Rewards app increased mean daily step count, and importantly, app engagement moderated this effect. Others should consider novel small-teams based approaches to boost engagement and effects.

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