Effectiveness of incentives to improve the reach of health promotion programs- a systematic review and meta-analysis.

The reach (i.e., enrollment, engagement, and retention) of health promotion evidence-based programs (EBPs) at the participant level has been challenging. Incentives based on behavioral economics may be used to improve EBP reach. We aimed to systematically review and synthesize the evidence of the effectiveness of incentives as a dissemination strategy to increase EBP reach. We conducted a literature search in PubMed, SCOPUS, EMBASE, Cochrane Review and Cochrane CENTRAL for articles published between January 2000 and March 2020 to identify incentive strategies used to increase program reach among health promotion EBPs. Inclusion criteria included studies published in English, experimental or quasi-experimental designs, comparison of incentive to non-incentive or control strategies, and reported on reach (n = 35 health promotion studies). Monetary incentives using cash and a fixed schedule of reinforcement were the most used incentive schemes (71%). Incentives alone or combined with other strategies as a multicomponent approach were effective in improving program enrollment, engagement, and retention. Specifically, incentive strategies were associated with higher odds of program enrollment (odds ratio [OR], 2.78; 95% confidence interval [CI], 1.82-4.24; n = 10) and retention (OR, 2.54, 95% CI, 1.34-4.85; n = 9) with considerable heterogeneity (I2 = 94% and 91%, respectively). Incentives are a promising individual-level dissemination strategy to improve the reach of health promotion EBPs. However, understanding the optimal amount, type, frequency, and target of incentives, and how incentives fit in a multicomponent approach in different contexts requires further research.

Hierarchical Analysis of Disparities in Suicidal Outcomes With Intersection of Sexual Minority and Gender Among U.S. Youth, 2017.

Sexual minority youth have a higher risk of suicidal behaviors than their straight peers. Despite this alarming trend, there is limited information on how health-risk factors are systematically associated with suicidal outcomes in relation to the intersection of sex and sexual orientation identity. Data from the 2017 Youth Risk Behavior Survey (Grades 9-12, N = 14,108) were analyzed to examine three distinct suicidal outcomes (i.e., suicidal ideation, suicide planning, and suicide attempt). Separate hierarchical logistic regression models were performed to gradually adjust for influencing factors in examining the association between suicidal outcomes and sexual orientation identity (i.e., heterosexual, gay/lesbian, bisexual, and unsure), stratified by self-reported sex. There exist significant differences in youth suicidal behaviors based on sexual orientation identity and sex: lesbians (adjusted odds ratio [AOR] = 2.7, 95% CI [1.5, 5.0]), bisexual girls (AOR = 1.9, 95% CI [1.3, 2.6]) and bisexual boys (AOR = 2.6, 95% CI [1.3, 5.2]) had higher odds of suicide attempts than their straight peers. Unsure boys and girls also reported higher risks of suicidal ideation and suicide plan as compared with their straight peers. Having a very short sleep duration, reporting ever use of illicit drugs, being bullied, and feeling sad/hopeless were associated with elevated risks of suicidality across males and females. This study identified potential disparities in suicidal outcomes by sexual orientation identity as well as factors that attenuate or strengthen this relationship in a representative sample of adolescents across the United States. An improved understanding of the differences in suicidal outcomes will serve as an opportunity to ameliorate any potential inequalities and improve sexual minority youth' health outcomes.

Assessing the Impact of Telemonitoring-Facilitated Lifestyle Modifications on Diabetes Outcomes: A Systematic Review and Meta-Analysis.

Introduction: Lifestyle modification to promote regular physical activity and healthy eating is a key element of diabetes management. We aimed at evaluating randomized controlled trials that assess the impact of telemonitoring on diabetes outcomes with the inclusion of lifestyle change components. Methods: A systematic review search in relevant databases was conducted for studies published from January 2000 to October 2018. The search was restricted to studies published in English and included adult patients with type 2 diabetes. Study selection criteria included telehealth programs with remote monitoring of physiological data and feedback features. We further performed meta-analyses to summarize the pooled effect size (presented by the mean difference [MD]) of hemoglobin A1c (HbA1c) and weight loss outcomes. Results: Seventeen studies were included in the data synthesis (15 of them were included in the meta-analysis), with the sample size ranging from 18 to 484 and the study period ranging from 3 to 12 months. Telemonitoring achieved a significant but modest reduction in HbA1c (MD = -0.30%; 95% confidence interval [CI]: -0.31% to -0.29%) and weight loss (kg) outcomes (MD = -0.62; 95% CI: -0.78 to -0.45) compared with usual care. In the subgroup analyses, it was suggested that telemonitoring with automatic mobile transmission or with real-time feedback modality led to a greater improvement in HbA1c outcomes (MD = -0.61% and -0.77%, respectively) when compared with telemonitoring without these features. Conclusions: Telemonitoring has a great potential to further enhance diabetes management with the inclusion of a system approach for supporting patients' lifestyle changes. Features such as automatic mobile transmission and real-time feedback show promise to boost effectiveness of telemonitoring in diabetes management in the future.

Racial Disparities in Diabetes Management Outcomes: Evidence from a Remote Patient Monitoring Program for Type 2 Diabetic Patients.

Introduction: Despite growing documentation of the efficacy of telemedicine in diabetes management, racial disparities in telemedicine-facilitated diabetes management remain underexplored. This study examined disparities in diabetes management outcomes between black and white patients with type 2 diabetes (T2D) in a remote monitoring program. Methods: The analysis sample included 914 white T2D patients and 365 black T2D patients in Nebraska who completed a 3-month remote patient monitoring and coaching after hospital discharge from 2014 to 2017. Ordinary least squares regression was estimated to examine racial differences in hemoglobin A1c (HbA1c), and logistic regression was used to determine the odds of HbA1c > 9% at the end of the program, controlling for demographics, baseline health conditions, and patient activation and engagement with the program. Results: The proportion of white patients with HbA1c > 9% was reduced from 16% at the baseline to 7% at program completion, and the corresponding reduction among black patients was from 30% to 18%. After adjusting for the effects of baseline HbA1c and other covariates, the average HbA1c among black patients at the end of the program was 0.23 points higher than that among white patients (p < 0.01), and the adjusted odds of black patients having HbA1c > 9% was 1.68 times that of white patients (95% confidence interval [1.07-2.63]). Discussion: The remote patient monitoring and coaching program reduced the absolute gap between black and white T2D patients. However, substantial racial disparities in HbA1c still remained at the end of the program and warranted further research.

Association Between Weight Loss and Glycemic Outcomes: A Post Hoc Analysis of a Remote Patient Monitoring Program for Diabetes Management.

Background: Evidence-based guidelines for the management of type 2 diabetes (T2D) consist of blood glucose monitoring, medication adherence, and lifestyle modifications that may particularly benefit from reminders, consultation, education, and behavioral reinforcements through remote patient monitoring (RPM). Objectives: To identify predictors of weight loss and to examine the association between weight loss and hemoglobin A1C (HbA1C) outcomes for T2D patients who were enrolled in an RPM program for diabetes management. Materials and Methods: The study applied logistic and ordinary least-squares regression models to examine the relationship between baseline characteristics and the likelihood of weight loss during the RPM, and how the magnitude of weight loss was related to changes in HbA1C outcomes for 1,103 T2D patients who went through 3 months of RPM from 2014 to 2017. Results: Older patients were 3% more likely to have weight loss (odds ratio [OR], 1.03; 95% confidence interval [CI], 1.02-1.05), whereas patients with higher baseline HbA1C had 9% reduced odds (OR, 0.91; 95% CI, 0.85-0.97) of experiencing weight loss. For every pound of weight lost, there was a 0.02-point (95% CI, 0.01-0.03) reduction on the HbA1C measured at the end of the RPM. Moreover, compared with those who had weight loss of ≤3%, participants who had lost 5-7%, or >7% of their baseline weight had a 0.37- and 0.58-point reduction in HbA1C, respectively. Conclusions: This study revealed a notable relationship between weight loss and positive HbA1C outcomes for T2D patients in an RPM-facilitated diabetes management program, which pointed to the potential of integrating evidence-based lifestyle modification programs into future telemedicine programs to improve diabetes management outcomes.