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Adhiyaman A, Jay M, Chung UYR, Gronda AN, Tseng CH, Wylie-Rosett J, Wittleder S, Wali S, Ladapo JA, Orstad SL. Low-Income Participants' Preference Between Financial Incentives for Behavioral Goals vs Weight Loss Targets and Associations With Behavioral Goal Adherence. Am J Health Promot 2024:8901171241254366. [PMID: 38748662 DOI: 10.1177/08901171241254366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2024]
Abstract
PURPOSE Examine associations between whether participants' were matched to their preferred financial incentive design and behavioral goal adherence in a weight management intervention. DESIGN Secondary quantitative analysis incorporating qualitative survey data. SETTING Primary care clinics in socioeconomically disadvantaged communities in New York City and Los Angeles. SUBJECTS 668 participants (mean age 47.7 years, 81.0% female, 72.6% Hispanic) with obesity were enrolled in the Financial Incentives foR Weight Reduction (FIReWoRk) intervention. MEASURES We explored qualitatively participant's reasons for hypothetically choosing a behavioral goal-directed vs a weight loss outcome-based financial incentive program. Additionally, behavioral adherence to different goals was collected at the 6-month timepoint, categorized by match to preferred financial incentive design. ANALYSIS Logistic regression was used to examine if participants with certain demographic and higher psychosocial factors were more likely to choose goal-directed over outcome-based incentives. Additionally, logistic regression was used to test for associations between preference and behavioral adherence, using incentive type as an interaction term. RESULTS 60.2% of participants preferred the goal-directed incentive, with the majority stating that it was more structured. Married participants were more likely to prefer goal-directed incentives (OR = 1.57, CI = 1.06-2.33, P = .025). Moderation analysis revealed that participants who preferred goal-directed and were matched to goal-directed had greater rates of behavioral adherence for program attendance and self-weighing, but not dietary tracking and physical activity tracking, compared to those who preferred outcome-based and were matched to outcome-based. CONCLUSION Receiving one's preferred incentive design may not play a strong role in behavioral goal adherence during financially incentivized weight loss interventions.
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Affiliation(s)
- Akshitha Adhiyaman
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, NY, USA
| | - Melanie Jay
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, NY, USA
| | - Un Young Rebecca Chung
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Andres N Gronda
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, NY, USA
| | - Chi-Hong Tseng
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Judith Wylie-Rosett
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sandra Wittleder
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, NY, USA
| | - Soma Wali
- Department of Medicine, Olive View-UCLA Medical Center, Sylmar, California
| | - Joseph A Ladapo
- Department of Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Stephanie L Orstad
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, NY, USA
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Teo V, Weinman J, Yap KZ. Systematic Review Examining the Behavior Change Techniques in Medication Adherence Intervention Studies Among People With Type 2 Diabetes. Ann Behav Med 2024; 58:229-241. [PMID: 38334280 DOI: 10.1093/abm/kaae001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Although previous systematic reviews have studied medication adherence interventions among people with Type 2 diabetes (PwT2D), no intervention has been found to improve medication adherence consistently. Furthermore, inconsistent and poor reporting of intervention description has made understanding, replication, and evaluation of intervention challenging. PURPOSE We aimed to identify the behavior change techniques (BCTs) and characteristics of successful medication adherence interventions among PwT2D. METHODS A systematic search was conducted on Medline, Embase, CINAHL, PsycINFO, Cochrane Central Register of Controlled Trials, Web of Science, and Scopus. Studies were included if they were randomized controlled trials with BCT-codable interventions designed to influence adherence to anti-diabetic medication for PwT2D aged 18 years old and above and have medication adherence measure as an outcome. RESULTS Fifty-five studies were included. Successful interventions tend to target medication adherence only, involve pharmacists as the interventionist, contain "Credible source" (BCT 9.1), "Instruction on how to perform the behaviour" (BCT 4.1), "Social support (practical)" (BCT 3.2), "Action planning" (BCT 1.4), and/ or "Information about health consequences" (BCT 5.1). Very few interventions described its context, used theory, examined adherence outcomes during the follow-up period after an intervention has ended, or were tailored to address specific barriers of medication adherence. CONCLUSION We identified specific BCTs and characteristics that are commonly reported in successful medication adherence interventions, which can facilitate the development of future interventions. Our review highlighted the need to consider and clearly describe different dimensions of context, theory, fidelity, and tailoring in an intervention.
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Affiliation(s)
- Vivien Teo
- Institute of Pharmaceutical Sciences, King's College London (KCL), London, UK
- Department of Pharmacy, National University of Singapore (NUS), Singapore
| | - John Weinman
- Institute of Pharmaceutical Sciences, King's College London (KCL), London, UK
| | - Kai Zhen Yap
- Department of Pharmacy, National University of Singapore (NUS), Singapore
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Edney S, Goh CM, Chua XH, Low A, Chia J, S Koek D, Cheong K, van Dam R, Tan CS, Müller-Riemenschneider F. Evaluating the Effects of Rewards and Schedule Length on Response Rates to Ecological Momentary Assessment Surveys: Randomized Controlled Trials. J Med Internet Res 2023; 25:e45764. [PMID: 37856188 PMCID: PMC10623229 DOI: 10.2196/45764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 05/31/2023] [Accepted: 07/28/2023] [Indexed: 10/20/2023] Open
Abstract
BACKGROUND Ecological momentary assessments (EMAs) are short, repeated surveys designed to collect information on experiences in real-time, real-life contexts. Embedding periodic bursts of EMAs within cohort studies enables the study of experiences on multiple timescales and could greatly enhance the accuracy of self-reported information. However, the burden on participants may be high and should be minimized to optimize EMA response rates. OBJECTIVE We aimed to evaluate the effects of study design features on EMA response rates. METHODS Embedded within an ongoing cohort study (Health@NUS), 3 bursts of EMAs were implemented over a 7-month period (April to October 2021). The response rate (percentage of completed EMA surveys from all sent EMA surveys; 30-42 individual EMA surveys sent/burst) for each burst was examined. Following a low response rate in burst 1, changes were made to the subsequent implementation strategy (SMS text message announcements instead of emails). In addition, 2 consecutive randomized controlled trials were conducted to evaluate the efficacy of 4 different reward structures (with fixed and bonus components) and 2 different schedule lengths (7 or 14 d) on changes to the EMA response rate. Analyses were conducted from 2021 to 2022 using ANOVA and analysis of covariance to examine group differences and mixed models to assess changes across all 3 bursts. RESULTS Participants (N=384) were university students (n=232, 60.4% female; mean age 23, SD 1.3 y) in Singapore. Changing the reward structure did not significantly change the response rate (F3,380=1.75; P=.16). Changing the schedule length did significantly change the response rate (F1,382=6.23; P=.01); the response rate was higher for the longer schedule (14 d; mean 48.34%, SD 33.17%) than the shorter schedule (7 d; mean 38.52%, SD 33.44%). The average response rate was higher in burst 2 and burst 3 (mean 50.56, SD 33.61 and mean 48.34, SD 33.17, respectively) than in burst 1 (mean 25.78, SD 30.12), and the difference was statistically significant (F2,766=93.83; P<.001). CONCLUSIONS Small changes to the implementation strategy (SMS text messages instead of emails) may have contributed to increasing the response rate over time. Changing the available rewards did not lead to a significant difference in the response rate, whereas changing the schedule length did lead to a significant difference in the response rate. Our study provides novel insights on how to implement EMA surveys in ongoing cohort studies. This knowledge is essential for conducting high-quality studies using EMA surveys. TRIAL REGISTRATION ClinicalTrials.gov NCT05154227; https://clinicaltrials.gov/ct2/show/NCT05154227.
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Affiliation(s)
- Sarah Edney
- Physical Activity and Nutrition Determinants in Asia Programme, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Claire Marie Goh
- Physical Activity and Nutrition Determinants in Asia Programme, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Xin Hui Chua
- Physical Activity and Nutrition Determinants in Asia Programme, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Alicia Low
- Singapore Health Promotion Board, Singapore Government, Singapore, Singapore
| | - Janelle Chia
- Singapore Health Promotion Board, Singapore Government, Singapore, Singapore
| | - Daphne S Koek
- Singapore Health Promotion Board, Singapore Government, Singapore, Singapore
| | - Karen Cheong
- Singapore Health Promotion Board, Singapore Government, Singapore, Singapore
| | - Rob van Dam
- Physical Activity and Nutrition Determinants in Asia Programme, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Exercise and Nutrition Sciences and Epidemiology, Milken Institute of Public Health, The George Washington University, Washington DC, VA, United States
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Falk Müller-Riemenschneider
- Physical Activity and Nutrition Determinants in Asia Programme, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Digital Health Center, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Stecher C, Cloonan S, Linnemayr S, Huberty J. Combining Behavioral Economics-Based Incentives With the Anchoring Strategy: Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2023; 12:e39930. [PMID: 37115610 PMCID: PMC10182474 DOI: 10.2196/39930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 02/20/2023] [Accepted: 03/16/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Chronic (ie, long-term) elevated stress is associated with a number of mental and physical health conditions. Mindfulness meditation mobile apps are a promising tool for stress self-management that can overcome several barriers associated with in-person interventions; however, to date, poor app-based intervention adherence has limited the efficacy of these mobile health tools. Anchoring, or pairing, a new behavior with an existing routine has been shown to effectively establish habits that are maintained over time, but this strategy typically only works for those with high initial motivation and has yet to be tested for maintaining meditation with a mobile app. OBJECTIVE This study will test novel combinations of behavioral economics-based incentives with the anchoring strategy for establishing and maintaining adherence to an effective dose of meditation with a mobile app. METHODS This 16-week study will use a 5-arm, parallel, partially blinded (participants only), randomized controlled design. We will implement a fractional factorial study design that varies the use of self-monitoring messages and financial incentives to support participants' use of their personalized anchoring strategy for maintaining adherence to a ≥10 minute-per-day meditation prescription during an 8-week intervention period, followed by an 8-week postintervention observation period. Specifically, we will vary the use of self-monitoring messages of either the target behavior (ie, meditation tracking) or the outcome associated with the target behavior (ie, mood symptom tracking). We will also vary the use of financial incentives conditional on either meditation at any time of day or meditation performed at approximately the same time of day as participants' personalized anchors. RESULTS Continuous meditation app use data will be used to measure weekly meditation adherence over the 16-week study period as a binary variable equal to 1 if participants complete ≥10 minutes of meditation for ≥4 days per week and 0 otherwise. We will measure weekly anchoring plan adherence as a binary variable equal to 1 if participants complete ≥10 minutes of meditation within +1 or -1 hour of the timing of their chosen anchor on ≥4 days per week and 0 otherwise. In addition to these primary measures of meditation and anchoring plan adherence, we will also assess the secondary measures of stress, anxiety, posttraumatic stress disorder, sleep disturbance, and meditation app habit strength at baseline, week 8, and week 16. CONCLUSIONS This study will fill an important gap in the mobile health literature by testing novel intervention approaches for establishing and maintaining adherence to app-based mindfulness meditation. If successful, this study will identify an accessible and scalable stress self-management intervention that can help combat stress in the United States. TRIAL REGISTRATION ClinicalTrials.gov NCT05217602; https://clinicaltrials.gov/ct2/show/NCT05217602. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/39930.
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Affiliation(s)
- Chad Stecher
- Arizona State University, Phoenix, AZ, United States
| | - Sara Cloonan
- Arizona State University, Phoenix, AZ, United States
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Ladapo JA, Orstad SL, Wali S, Wylie-Rosett J, Tseng CH, Chung UYR, Cuevas MA, Hernandez C, Parraga S, Ponce R, Sweat V, Wittleder S, Wallach AB, Shu SB, Goldstein NJ, Jay M. Effectiveness of Goal-Directed and Outcome-Based Financial Incentives for Weight Loss in Primary Care Patients With Obesity Living in Socioeconomically Disadvantaged Neighborhoods: A Randomized Clinical Trial. JAMA Intern Med 2023; 183:61-69. [PMID: 36469353 PMCID: PMC9857219 DOI: 10.1001/jamainternmed.2022.5618] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 10/16/2022] [Indexed: 12/12/2022]
Abstract
Importance Financial incentives for weight management may increase use of evidence-based strategies while addressing obesity-related economic disparities in low-income populations. Objective To examine the effects of 2 financial incentive strategies developed using behavioral economic theory when added to provision of weight management resources. Design, Setting, and Participants Three-group, randomized clinical trial conducted from November 2017 to May 2021 at 3 hospital-based clinics in New York City, New York, and Los Angeles, California. A total of 1280 adults with obesity living in low-income neighborhoods were invited to participate, and 668 were enrolled. Interventions Participants were randomly assigned to goal-directed incentives, outcome-based incentives, or a resources-only group. The resources-only group participants were given a 1-year commercial weight-loss program membership, self-monitoring tools (digital scale, food journal, and physical activity monitor), health education, and monthly one-on-one check-in visits. The goal-directed group included resources and linked financial incentives to evidence-based weight-loss behaviors. The outcome-based arm included resources and linked financial incentives to percentage of weight loss. Participants in the incentive groups could earn up to $750. Main Outcomes and Measures Proportion of patients achieving 5% or greater weight loss at 6 months. Results The mean (SD) age of the 668 participants enrolled was 47.7 (12.4) years; 541 (81.0%) were women, 485 (72.6%) were Hispanic, and 99 (14.8%) were Black. The mean (SD) weight at enrollment was 98.96 (20.54) kg, and the mean body mass index (calculated as weight in kilograms divided by height in meters squared) was 37.95 (6.55). At 6 months, the adjusted proportion of patients who lost at least 5% of baseline weight was 22.1% in the resources-only group, 39.0% in the goal-directed group, and 49.1% in the outcome-based incentive group (difference, 10.08 percentage points [95% CI, 1.31-18.85] for outcome based vs goal directed; difference, 27.03 percentage points [95% CI, 18.20-35.86] and 16.95 percentage points [95% CI, 8.18-25.72] for outcome based or goal directed vs resources only, respectively). However, mean percentage of weight loss was similar in the incentive arms. Mean earned incentives was $440.44 in the goal-directed group and $303.56 in the outcome-based group, but incentives did not improve financial well-being. Conclusions and Relevance In this randomized clinical trial, outcome-based and goal-directed financial incentives were similarly effective, and both strategies were more effective than providing resources only for clinically significant weight loss in low-income populations with obesity. Future studies should evaluate cost-effectiveness and long-term outcomes. Trial Registration ClinicalTrials.gov Identifier: NCT03157713.
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Affiliation(s)
- Joseph A. Ladapo
- Department of Medicine, University of Florida College of Medicine, Gainesville
| | - Stephanie L. Orstad
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, New York
| | - Soma Wali
- Department of Medicine, Olive View–UCLA Medical Center, Sylmar, California
| | - Judith Wylie-Rosett
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Chi-Hong Tseng
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Un Young Rebecca Chung
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Miguel A. Cuevas
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Christina Hernandez
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, New York
| | - Susan Parraga
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, New York
| | - Robert Ponce
- Department of Medicine, Olive View–UCLA Medical Center, Sylmar, California
| | - Victoria Sweat
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, New York
| | - Sandra Wittleder
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, New York
| | - Andrew B. Wallach
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, New York
- Bellevue Hospital Center, New York, New York
| | - Suzanne B. Shu
- Cornell Dyson School of Applied Economics and Management, Ithaca, New York
| | | | - Melanie Jay
- Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, New York
- New York Harbor Veterans Health Affairs, New York, New York
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Lee YS, Chia M, Komar J. A Systematic Review of Physical Activity Intervention Programs in ASEAN Countries: Efficacy and Future Directions. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19095357. [PMID: 35564751 PMCID: PMC9103551 DOI: 10.3390/ijerph19095357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 04/24/2022] [Accepted: 04/26/2022] [Indexed: 12/10/2022]
Abstract
A systematic review was conducted on the efficacy of interventions to improve physical activity. PubMed, Scopus and Web of Science were scanned for eligible studies published from 1978 to August 2021, resulting in a total of 52 relevant studies for review. The Downs and Black checklist was used as a quality assessment ool for a risk of bias assessment. The 52 studies were then broadly categorised into three major approach types: informational, behavioural and/or social, as well as direct. Within each major approach, studies were further sub-categorised into more specific intervention types before being assessed for their efficacy and applicability. Overall, the intervention types that seemed to be the most efficacious in increasing physical activity levels were those that involved home-based information provision, community-wide campaigns, incentivised change, individually adapted health behaviour programs, family-based social support interventions and the provision of self-monitoring tools. However, the results must be interpreted holistically, as many of the successful interventions included more than one approach type and success is likely contingent on effectively addressing several concurrent facets. The systematic review is registered on PROSPERO. Registration number: 282752.
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