Reach and Weight Loss Among Comparison Group Participants Who Enrolled in the Active Intervention After a Diabetes Prevention Trial.

We examined participation rates, engagement, and weight-loss outcomes of comparison group participants in a diabetes prevention trial who enrolled in a digitally delivered diabetes prevention program (ie, an active intervention) after the original trial ended. We evaluated these outcomes by using the Wilcoxon signed-rank test and 1-sample z test. We found a high participation rate (73%) among comparison group participants and comparable weight-loss outcomes at 12 months (6.8 lb) after initiating participation in the active intervention relative to intervention group participants during the original trial. Findings support providing evidence-based interventions for comparison or control group participants post-trial. Findings also support examining the cost-effectiveness of post-trial interventions, regardless of the limitations of acquiring post-trial data on weight in an uncontrolled setting.

Reasons for E-cigarette Use, Vaping Patterns, and Cessation Behaviors Among US Adolescents.

INTRODUCTION: This study sought to examine reasons for youth e-cigarette use in association with vaping patterns and cessation behaviors. AIMS AND METHODS: A national representative sample of current (past 30-day) e-cigarette users in grades 6-12 was analyzed using the National Youth Tobacco Survey (NYTS), conducted from January to March 2020. An exploratory oblique factor analysis using a rotated pattern matrix to select salient variable-factor relationships yielded four subscales related to reasons for youth e-cigarette use. Multivariate logistic regressions were performed to assess the associations of each subscale with vaping patterns (frequent e-cigarette use, dual use of e-cigarettes and other tobacco products) and vaping cessation behaviors (intention to quit vaping and past-year quit attempts). RESULTS: The 2020 NYTS sampled 180 schools with 1769 current e-cigarette users. Four main reasons for vaping were identified through factor analysis, including (1) replacing cigarettes, (2) product characteristics [eg, flavors, concealability, and vape tricks], (3) family/friend use, and (4) curiosity. Curiosity was associated with lower odds of frequent e-cigarette use (adjusted odds ratio [AOR] = 0.5, p < .0001) and dual use of e-cigarettes and other tobacco products (AOR = 0.6, p = .01) but higher odds of intention to quit (AOR = 1.2, p = .26) and past year quit attempts (AOR =1.5, p = .01). Vaping due to product characteristics was associated with higher odds of frequent e-cigarette use (AOR = 1.7, p < .0001) and lower odds of intention to quit (AOR = 0.3, p < .0001) and past year quit attempts (AOR = 0.9, p = .01). CONCLUSIONS: Adolescents vape for various reasons that follow distinct patterns and user characteristics. Overall, interventions tailored to address heterogeneous reasons for vaping may help optimize the reduction in youth e-cigarette use. IMPLICATIONS: E-cigarettes have surpassed cigarettes and become the most commonly used tobacco product by US youths. Adolescents choose to vape for different reasons. This study examined reasons for youth e-cigarette use and their associations with vaping patterns and cessation behaviors. The product characteristics factor (eg, flavors, concealability, and vape tricks) was associated with more frequent e-cigarette use and lower odds of cessation behaviors, suggesting a need for flavor bans and product design regulation.

Racial Discrimination, Mental Health and Behavioral Health During the COVID-19 Pandemic: a National Survey in the United States.

BACKGROUND: While hate crimes rose during the COVID-19 pandemic, few studies examined whether this pandemic-time racial discrimination has led to negative health consequences at the population level. OBJECTIVE: We examined whether experienced and perceived racial discrimination were associated with mental or behavioral health outcomes during the pandemic. DESIGN: In October 2020, we conducted a national survey with minorities oversampled that covered respondents' sociodemographic background and health-related information. PARTICIPANTS: A total of 2709 participants responded to the survey (response rate: 4.2%). MAIN MEASURES: The exposure variables included (1) experienced and encountered racial discrimination, (2) experienced racial and ethnic cyberbullying, and (3) perceived racial bias. Mental health outcomes were measured by psychological distress and self-rated happiness. Measures for behavioral health included sleep quality, change in cigarette smoking, and change in alcohol consumption. Weighted logistic regressions were performed to estimate the associations between the exposure variables and the outcomes, controlling for age, gender, race and ethnicity, educational attainment, household income, eligibility to vote, political party, COVID-19 infection, and geographic region. Separate regressions were performed in the six racial and ethnic subgroups: non-Hispanic White, non-Hispanic Black, Hispanic, East Asian, South Asian, and Southeast Asian respondents. KEY RESULTS: Experienced racial discrimination was associated with higher likelihood of psychological distress (adjusted odds ratio [AOR] = 2.18, 95% confidence interval [95% CI]: 1.34-3.55). Experienced racial discrimination (AOR = 2.31, 95% CI: 1.34-3.99) and perceived racial bias (AOR = 1.05, 95% CI: 1.00-1.09) were both associated with increased cigarette smoking. The associations between racial discrimination and mental distress and substance use were most salient among Black, East Asian, South Asian, and Hispanic respondents. CONCLUSIONS: Racial discrimination may be associated with higher likelihood of distress, and cigarette smoking among racial and ethnic minorities. Addressing racial discrimination is important for mitigating negative mental and behavioral health ramifications of the pandemic.

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.

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.

Urban American Indian Community Health Beliefs Associated with Addressing Cancer in the Northern Plains Region.

American Indians residing in the Northern Plains region of the Indian Health Service experience some of the most severe cancer-related health disparities. We investigated ways in which the community climate among an American Indian population in an urban community in the Northern Plains region influences community readiness to address cancer. A Community Readiness Assessment, following the Community Readiness Model, conducted semi-structured interviews with eight educators, eight students, and eight community leaders from the American Indian community in Omaha's urban American Indian population and established the Northern Plains region community at a low level of readiness to address cancer. This study reports on a subsequent qualitative study that analyzed all 24 interview transcriptions for emergent themes to help understand the prevailing attitude of the community toward cancer. A synthesis of six emergent themes revealed that the community's perceptions of high levels of severity and barriers, paired with perceptions of low levels of susceptibility and benefits, lead to low levels of self-efficacy, all of which are reflected in minimal cues to action and little effort to address cancer. These findings, interpreted through the lens of the Health Belief Model, can inform the development of more community-based, comprehensive, and culturally appropriate approaches to address the multilevel determinants of health behaviors in relation to cancer among American Indians in the Northern Plains region.

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.

"Time Traveling Is Just Too Dangerous" but Some Methods Are Worth Revisiting: The Advantages of Expected Loss Curves Over Cost-Effectiveness Acceptability Curves and Frontier.

BACKGROUND: Cost-effectiveness acceptability curves (CEACs) and the cost-effectiveness acceptability frontier (CEAF) are the recommended graphical representations of uncertainty in a cost-effectiveness analysis (CEA). Nevertheless, many limitations of CEACs and the CEAF have been recognized by others. Expected loss curves (ELCs) overcome these limitations by displaying the expected foregone benefits of choosing one strategy over others, the optimal strategy in expectation, and the value of potential future research all in a single figure. OBJECTIVES: To revisit ELCs, illustrate their benefits using a case study, and promote their adoption by providing open-source code. METHODS: We used a probabilistic sensitivity analysis of a CEA comparing 6 cerebrospinal fluid biomarker test-and-treat strategies in patients with mild cognitive impairment. We showed how to calculate ELCs for a set of decision alternatives. We used the probabilistic sensitivity analysis of the case study to illustrate the limitations of currently recommended methods for communicating uncertainty and then demonstrated how ELCs can address these issues. RESULTS: ELCs combine the probability that each strategy is not cost-effective on the basis of current information and the expected foregone benefits resulting from choosing that strategy (ie, how much is lost if we recommended a strategy with a higher expected loss). ELCs display how the optimal strategy switches across willingness-to-pay thresholds and enables comparison between different strategies in terms of the expected loss. CONCLUSIONS: ELCs provide a more comprehensive representation of uncertainty and overcome current limitations of CEACs and the CEAF. Communication of uncertainty in CEA would benefit from greater adoption of ELCs as a complementary method to CEACs, the CEAF, and the expected value of perfect information.

Diabetes Management Through Remote Patient Monitoring: The Importance of Patient Activation and Engagement with the Technology.

Background: The documented efficacy and promise of telemedicine in diabetes management does not necessarily mean that it can be easily translated into clinical practice. An important barrier concerns patient activation and engagement with telemedicine technology. Objective: To assess the importance of patient activation and engagement with remote patient monitoring technology in diabetes management among patients with type 2 diabetes. Methods: Ordinary least squares and logistic regression analyses were used to examine how patient activation and engagement with remote patient monitoring technology were related to changes in hemoglobin A1c (HbA1c) for 1,354 patients with type 2 diabetes monitored remotely for 3 months between 2015 and 2017. Results: Patients with more frequent and regular participation in remote monitoring had lower HbA1c levels at the end of the program. Compared to patients who uploaded their biometric data every 2 days or less frequently, patients who maintained an average frequency of one upload per day were less likely to have a postmonitoring HbA1c > 9% after adjusting for selected covariates on baseline demographics and health conditions. Conclusions: Higher levels of patient activation and engagement with remote patient monitoring technology were associated with better glycemic control outcomes. Developing targeted interventions for different groups of patients to promote their activation and engagement levels would be important to improve the effectiveness of remote patient monitoring in diabetes management.

Awareness of HPV and Cervical Cancer Prevention Among University Health Sciences Students in Cyprus.

Cervical cancer is preventable; however, despite the existence of primary and secondary means of prevention, its incidence is still higher in certain socioeconomic groups and countries, suggesting gaps in cervical cancer prevention. The objective of this study was to evaluate the knowledge and awareness of health sciences university students in Cyprus regarding HPV and cervical cancer in order to better guide the future development of educational programs to improve cervical cancer prevention. This was a cross-sectional study of 178 university health sciences students in Cyprus using a validated questionnaire on HPV and cervical cancer prevention. Analysis of the completed questionnaires revealed moderate levels of knowledge and awareness with an overall mean score of 23.32 out of 33 on HPV and 8.12 out of 13 on cervical cancer, a score of 9.25 out of 14 on HPV vaccines, and a score of 5.93 out of 9 on cervical cancer screening. Older students achieved higher scores compared to younger students (mean score of 6.76 for 18-22 years old, 9.44 for 23-28 years old, and 10.25 for 29-38 years old; p < 0.001). The study found several gaps in the students' knowledge and awareness on cervical cancer prevention. We suggest the design of education programs targeting this population possibly by incorporation of cervical cancer prevention education within students' curriculum to increase knowledge such that the spread of the virus is minimized and these health sciences students are prepared to educate their communities as part of their future practice in health professions.

An Examination of Multilevel Factors Influencing Colorectal Cancer Screening in Primary Care Accountable Care Organization Settings: A Mixed-Methods Study.

OBJECTIVE: To identify patient, provider, and delivery system-level factors associated with colorectal cancer (CRC) screening and validate findings across multiple data sets. DESIGN: A concurrent mixed-methods design using electronic health records, provider survey, and provider interview. SETTING: Eight primary care accountable care organization clinics in Nebraska. MEASURES: Patients' demographic/social characteristics, health utilization behaviors, and perceptions toward CRC screening; provider demographics and practice patterns; and clinics' delivery systems (eg, reminder system). ANALYSIS: Quantitative (frequencies, logistic regression, and t tests) and qualitative analyses (thematic coding). RESULTS: At the patient level, being 65 years of age and older (odds ratio [OR] = 1.34, P < .001), being non-Hispanic white (OR = 1.93, P < .001), having insurance (OR = 1.90, P = .01), having an annual physical examination (OR = 2.36, P < .001), and having chronic conditions (OR = 1.65 for 1-2 conditions, P < .001) were associated positively with screening, compared with their counterparts. The top 5 patient-level barriers included discomfort/pain of the procedure (60.3%), finance/cost (57.4%), other priority health issues (39.7%), lack of awareness (36.8%), and health literacy (26.5%). At the provider level, being female (OR = 1.88, P < .001), having medical doctor credentials (OR = 3.05, P < .001), and having a daily patient load less than 15 (OR = 1.50, P = .01) were positively related to CRC screening. None of the delivery system factors were significant except the reminder system. Interview data provided in-depth information on how these factors help or hinder CRC screening. Discrepancies in findings were observed in chronic condition, colonoscopy performed by primary doctors, and the clinic-level system factors. CONCLUSIONS: This study informs practitioners and policy makers on the effective multilevel strategies to promote CRC screening in primary care accountable care organization or equivalent settings. Some inconsistent findings between data sources require additional prospective cohort studies to validate those identified factors in question. The strategies may include (1) developing programs targeting relatively younger age groups or racial/ethnic minorities, (2) adapting multilevel/multicomponent interventions to address low demands and access of local population, (3) promoting annual physical examination as a cost-effective strategy, and (4) supporting organizational capacity and infrastructure (eg, IT system) to facilitate implementation of evidence-based interventions.

Relationship of systemic IL-10 levels with proinflammatory cytokine responsiveness and lung function in agriculture workers.

BACKGROUND: Agriculture workers are exposed to microbial component- and particulate matter-enriched organic dust aerosols. Whereas it is clear that exposure to these aerosols can lead to lung inflammation, it is not known how inflammatory responses are resolved in some individuals while others develop chronic lung disease. Interleukin (IL)-10 is an immunomodulatory cytokine that is recognized as a potent anti-inflammatory and pro-resolving factor. The objective of this study was to determine whether there is a relationship of systemic IL-10 and proinflammatory responses and/or respiratory health effects in humans with prior agriculture exposure. METHODS: This is a cross sectional study of 625 veterans with > 2 years of farming experience. Whole blood was stimulated with or without organic dust and measured for IL-6, TNFα and IL-10. Participants underwent spirometry and respiratory symptoms were assessed by questionnaire. RESULTS: We found that baseline IL-10 concentration from the whole blood assay was inversely associated with ΔTNF-α (r = - 0.63) and ΔIL-6 (r = - 0.37) levels. Results remained highly significant in the linear regression model after adjusting for age, sex, BMI, race, education, smoking status, and white blood cell count (ΔTNF-α, p < 0.0001; ΔIL-6, p < 0.0001). We found no association between chronic cough (p = 0.18), chronic phlegm (p = 0.31) and chronic bronchitis (p = 0.06) and baseline IL-10 levels using univariate logistic regression models. However, we did find that higher FEV1/FVC was significantly associated with increased baseline IL-10 concentration. CONCLUSIONS: Collectively, these studies support a potential role for IL-10 in modulating an inflammatory response and lung function in agriculture-exposed persons.

COSTS OF HOME-BASED TELEMEDICINE PROGRAMS: A SYSTEMATIC REVIEW.

OBJECTIVES: The aim of this study was to systematically investigate existing literature on the costs of home-based telemedicine programs, and to further summarize how the costs of these telemedicine programs vary by equipment and services provided. METHODS: We undertook a systematic review of related literature by searching electronic bibliographic databases and identifying studies published from January 1, 2000, to November 30, 2017. The search was restricted to studies published in English, results from adult patients, and evaluation of home telemedicine programs implemented in the United States. Summarized telemedicine costs per unit of outcome measures were reported. RESULTS: Twelve studies were eligible for our review. The overall annual cost of providing home-based telemedicine varied substantially depending on specific chronic conditions, ranging from USD1,352 for heart failure to USD206,718 for congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and diabetes as a whole. The estimated cost per-patient-visit ranged from USD24 for cancer to USD39 for CHF, COPD, or chronic wound care. CONCLUSIONS: The costs of home-based telemedicine programs varied substantially by program components, disease type, equipment used, and services provided. All the selected studies indicated that home telemedicine programs reduced care costs, although detailed cost data were either incomplete or not presented in detail. A comprehensive analysis of the cost of home-based telemedicine programs and their determinants is still required before the cost efficiency of these programs can be better understood, which becomes crucial for these programs to be more widely adopted and reimbursed.

Breast Cancer Screening for Patients of Rural Accountable Care Organization Clinics: A Multi-Level Analysis of Barriers and Facilitators.

Not all women 50-74 years received biennial mammography and the situation is worse in rural areas. Accountable care organizations (ACO) emphasize coordinated care, use of electronic health system, and preventive quality measures and these practices may improve their patients' breast cancer screening rate. Using medical record data of 8,347 women patients aged 50-74 years from eight rural ACO clinics in Nebraska, this study examined patient-, provider-, and county-level barriers and facilitators for breast cancer screening. A generalized estimating equations model was used to account for the correlation among patients from the same provider and county. The multi-level logistic regression results suggest that uninsured non-Hispanic Black patients were less likely to meet the biennial mammography screening guideline. Patients whose preferred language being English, having a preventive visit in the past 12 months, having one or more chronic conditions were more likely to meet the biennial mammography screening guideline. Patients with a primary care provider (PCP) that was male, without a medical doctor degree were less likely to screen biennially. Patients with a PCP that reviewed performance report quarterly, or manually checked patients' mammography screening status during visits were more likely to screen biennially. Interestingly, patients whose PCP reported being reminded by a care coordination team were less likely to screen biennially. Patients living in counties with more PCPs were also more likely to screen biennially. The study findings suggest that efforts targeting individual and practice-level barriers could be most effective in improving mammography screening for these rural ACO patients.

Cost effectiveness and return on investment of a scalable community weight loss intervention.

This study assessed the lifetime health and economic consequences of an efficacious scalable community weight loss program for overweight and obese adults. We applied a state-transition Markov model to project lifetime economic outcome (US dollar) and the degree of disease averted as a result of a weight loss intervention, compared with no intervention, from a payer perspective. Effect sizes of the intervention on weight loss, by sex, race and ethnicity, and body mass index (BMI) of participants, were derived from a 12-month community program. Relative risk of diseases across BMI levels and other parameters were informed by the literature. A return on investment (ROI) analysis was conducted to present the overall cost-benefit of the program. Simulation results showed that among 33,656 participants and at a cost of $2.88 million, the program was predicted to avert (with a corresponding estimated medical costs saved of) 78 cases of coronary heart disease ($28 million), 9 cases of strokes ($971,832), 92 cases of type 2 diabetes ($24 million), 1 case of colorectal cancer ($357,022), and 3 cases of breast cancer ($483,259) over the participant lifetime. The estimated medical costs saved per participant was $1403 ($1077 of African American men and $1532 of Hispanic men), and the ROI was $16.7 ($12.8 for African American men and $18.3 for Hispanic men) for every $1 invested. We concluded that a scalable efficacious community weight loss program provides a cost-effective approach with significant ROI, which will assist informed decisions for future adoption and dissemination.

Dependence Stage and Pharmacoeconomic Outcomes in Patients With Alzheimer Disease.

The level of assistance patients with Alzheimer disease (AD) require in their care may be an important predictor of resource use, costs of care, and quality of life. The Dependence Scale (DS), a measure of care-assistance required, was used to estimate costs of care and quality of life of patients with AD categorized into 6 dependence stages based upon the summated item scores of the DS. Data were derived from a 3-year, noninterventional study of 132 patients with probable AD (ages, 50 to 85 y) and caregiver dyads. We investigated the association between DS scores and health care costs, health-related quality of life (HRQoL), caregiver burden and estimated annual costs and HRQoL for 6 dependence stages in adjusted models. DS scores were significant predictors of health care costs, HRQoL, and caregiver burden. The estimated annual health care costs and a measure of HRQoL (EuroQoL-5D) ranged from $11,418 and 1.00 for those at very mild dependence stage to $101,715 and 0.26 for those at very severe dependence stage. DS scores classified into 6 dependence stages provides a useful method to estimate unique levels of care-associated costs and health utilities for pharmacoeconomic evaluations of new treatments for AD.

Biomarker Assessment of Nicotine Exposure Among Adolescent E-Cigarette Users: 2018-2019.

BACKGROUND: Despite the increasing prevalence of vaping e-cigarettes among adolescents, there remains a lack of population-level assessments regarding the objective measurement of nicotine exposure. METHODS: This study analyzed a nationally representative sample of adolescents aged 13 to 17 years from Wave 5 of the Population Assessment of Tobacco and Health Study conducted between 2018 and 2019. Urinary nicotine metabolites, including cotinine and trans-3'-hydroxycotinine (3-HC), were assessed among exclusive nonnicotine e-cigarette users (n = 56), exclusive nicotine e-cigarette users (n = 200), and nonusers (n = 1059). We further examined nicotine exposure by past 30-day vaping frequency (ie, occasional [1-5 days], intermittent [6-19 days], and frequent [20+ days]) and flavor types among nicotine e-cigarette users. Multivariable linear regressions tested pairwise group effects, and biomarkers were normalized by the log transformation. RESULTS: Compared with nonusers, both nonnicotine and nicotine e-cigarette users exhibited higher levels of cotinine and 3-HC. Nicotine e-cigarette users had mean cotinine concentrations (61.3; 95% confidence interval, 23.8-158.0, ng/mg creatinine) approximately 146 times higher (P < .0001) than nonusers (0.4; 0.3-0.5), whereas nonnicotine users (4.9; 1.0-23.2) exhibited cotinine concentrations ∼12 times higher (P = .02). Among nicotine e-cigarette users, the levels of cotinine and 3-HC increased by vaping frequency, with cotinine increasing from 10.1 (2.5-40.1) among occasional users to 73.6 (31.8-170.6) among intermittent users and 949.1 (482.5-1866.9) among frequent users. Nicotine exposure was not significantly different by flavor type. CONCLUSIONS: E-cigarette use poses health-related risks resulting from nicotine exposure among adolescents. Comprehensive regulations of e-cigarette products and marketing, vaping prevention, cessation, and public policies are needed to prevent youth from developing nicotine addiction.

Cost analysis of a remote patient monitoring programme for post-discharge patients with type 2 diabetes.

INTRODUCTION: Assessing costs of an evidence-based health promotion programme is crucial to understand the economic feasibility of adopting or sustaining the programme. This study conducted a cost analysis of a remote patient monitoring (RPM) programme to enhance the post-discharge management of type 2 diabetes. METHODS: Using retrospective data collected during RPM implementation from September 2014 to February 2018, we estimated the costs of implementing an RPM in the primary care setting. Measures included total and average annual costs, costs per participant who was enrolled or completed the programme, and costs per person-day. We further conducted sensitivity and scenario analyses to examine variations in estimated programme costs associated with varying programme efficiencies and alternative personnel compositions of the RPM team. RESULTS: The total RPM implementation costs were estimated at US$4,374,544 with an average annual programme costs of US$1,249,870, which translated to US$3207 per participant (n = 1364) completing the three-month programme. The per person-day cost was averaged at US$24 (182,932 person-days). Sensitivity and scenario analyses results indicate that the sustainment costs were approximately US$1.6 million annually and the per-person-day costs were between US$21 and US$29 with each nurse coach on average serving a panel of 62-93 patients. CONCLUSION: The implementation and sustainment costs of an RPM programme, estimated under various assumptions of programme efficiency and care team compositions, as exemplified in this study, will help healthcare organizations make informed decisions in budgeting for and sustaining telehealth programmes to enhance diabetes management.