Caregiver Use of the Core Components of Technology-Enhanced Helping the Noncompliant Child: A Case Series Analysis of Low-Income Families

Children from low-income families are more likely to develop early-onset disruptive behavior disorders (DBDs) compared to their higher income counterparts. Low-income families of children with early-onset DBDs, however, are less likely to engage in the standard-of-care treatment, behavioral parent training (BPT), than families from other sociodemographic groups. Preliminary between-group findings suggested technology-enhanced BPT was associated with increased engagement and boosted treatment outcomes for low-income families relative to standard BPT. The current study used a case series design to take this research a step further by examining whether there was variability in use of, and reactions to, the smartphone enhancements within technology-enhanced BPT and the extent to which this variability paralleled treatment outcome. Findings provide a window into the uptake and use of technology-enhanced service delivery methods among low-income families, with implications for the broader field of children’s mental health

Helping the Noncompliant Child: An Assessment of Program Costs and Cost-Effectiveness

Disruptive behavior disorders (DBD) in children can lead to delinquency in adolescence and antisocial behavior in adulthood. Several evidence-based behavioral parent training (BPT) programs have been created to treat early onset DBD. This paper focuses on one such program, Helping the Noncompliant Child (HNC), and provides detailed cost estimates from a recently completed pilot study for the HNC program. The study also assesses the average cost-effectiveness of the HNC program by combining program cost estimates with data on improvements in child participants’ disruptive behavior. The cost and effectiveness estimates are based on implementation of HNC with low-income families. Investigators developed a Microsoft Excel-based costing instrument to collect data from therapists on their time spent delivering the HNC program. The instrument was designed using an activity-based costing approach, where each therapist reported program time by family, by date, and for each skill that the family was working to master. Combining labor and non-labor costs, it is estimated that delivering the HNC program costs an average of $501 per family from a payer perspective. It also costs an average of$13 to improve the Eyberg Child Behavior Inventory intensity score by 1 point for children whose families participated in the HNC pilot program. The cost of delivering the HNC program appears to compare favorably with the costs of similar BPT programs. These cost estimates are the first to be collected systematically and prospectively for HNC. Program managers may use these estimates to plan for the resources needed to fully implement HNC

Incorporating Mobile Phone Technologies to Expand Evidence-Based Care

Ownership of mobile phones is on the rise, a trend in uptake that transcends age, region, race, and ethnicity, as well as income. It is precisely the emerging ubiquity of mobile phones that has sparked enthusiasm regarding their capacity to increase the reach and impact of health care, including mental health care. Community-based clinicians charged with transporting evidence-based interventions beyond research and training clinics are in turn, ideally and uniquely situated to capitalize on mobile phone uptake and functionality to bridge the efficacy to effectiveness gap. As such, this article delineates key considerations to guide these frontline clinicians in mobile phone-enhanced clinical practice, including an overview of industry data on the uptake of and evolution in the functionality of mobile phone platforms, conceptual considerations relevant to the integration of mobile phones into practice, representative empirical illustrations of mobile-phone enhanced assessment and treatment, and practical considerations relevant to ensuring the feasibility and sustainability of such an approach

Technology-Enhanced Program for Child Disruptive Behavior Disorders: Development and Pilot Randomized Control Trial

Early onset Disruptive Behavior Disorders (DBDs) are overrepresented in low-income families; yet, these families are less likely to engage in Behavioral Parent Training (BPT) than other groups. This project aimed to develop and pilot test a technology-enhanced version of one evidence-based BPT program, Helping the Noncompliant Child (HNC). The aim was to increase engagement of low-income families and, in turn, child behavior outcomes, with potential cost-savings associated with greater treatment efficiency

Cost Effectiveness of Internet Interventions: Review and Recommendations

10.1007/s12160-009-9131-6Annals of Behavioral Medicine38140-45ABME

Costs of Chronic Diseases at the State Level: The Chronic Disease Cost Calculator

IntroductionMany studies have estimated national chronic disease costs, but state-level estimates are limited. The Centers for Disease Control and Prevention developed the Chronic Disease Cost Calculator (CDCC), which estimates state-level costs for arthritis, asthma, cancer, congestive heart failure, coronary heart disease, hypertension, stroke, other heart diseases, depression, and diabetes.MethodsUsing publicly available and restricted secondary data from multiple national data sets from 2004 through 2008, disease-attributable annual per-person medical and absenteeism costs were estimated. Total state medical and absenteeism costs were derived by multiplying per person costs from regressions by the number of people in the state treated for each disease. Medical costs were estimated for all payers and separately for Medicaid, Medicare, and private insurers. Projected medical costs for all payers (2010 through 2020) were calculated using medical costs and projected state population counts.ResultsMedian state-specific medical costs ranged from $410 million (asthma) to$1.8 billion (diabetes); median absenteeism costs ranged from $5 million (congestive heart failure) to$217 million (arthritis).ConclusionCDCC provides methodologically rigorous chronic disease cost estimates. These estimates highlight possible areas of cost savings achievable through targeted prevention efforts or research into new interventions and treatments

Obesity in French Inmates: Gender Differences and Relationship with Mood, Eating Behavior and Physical Activity

CONTEXT: Inmates, notably women, are at greater risk for obesity and metabolic complications than the general population according to several studies from high income countries. Data regarding French correctional institutions are lacking so far. To fill this gap, we have assessed in a sample from a French prison (33 females and 18 males) the gender-specific effect of incarceration on weight and body mass index (BMI) and examined their current metabolic status. Furthermore, to reveal the possible determinants of increased obesity, we analyzed emotional vulnerability, eating behavior and physical activity using self-reported questionnaires. RESULTS: In this sample, obesity (BMI≥30 kg/m2) was already frequent in women (18.2%) but rather scarce for men (11%) at prison entry. Incarceration worsened the rate of obesity in both genders (21.2% and 16.7% respectively). At the time of study, abdominal obesity estimated through waist circumference was particularly prevalent in women (69.7%) versus men (27.8%) and metabolic syndrome was detected in 33% of female against none in male inmates. Abdominal obesity was associated with female sex (p<0.03), low physical activity (p<0.05) and eating disorder (p = 0.07) in univariate analyses. Low physical activity remained significant as an explanatory factor of higher abdominal obesity in multivariate analysis. A marked difference between genders was found for practice of physical activity with a higher proportion of women compared to men being inactive (37.9% vs. 11.8%) and fewer women being very active (17.2% vs. 41.2%). CONCLUSION: This study revealed that a significant proportion of women of this correctional institution combined established obesity, a metabolic syndrome and very little practice of physical activity which put them at high risk of cardiovascular disease. Thus, obesity should be better surveyed and treated in prison, especially for female inmates. Increased physical activity, adapted to obese women, would be the first mean to decrease obesity and gender differences

One-year changes in glucose and heart disease risk factors among participants in the WISEWOMAN programme

Background: WISEWOMAN provides chronic disease risk factor screening, referrals and lifestyle interventions to low-income, uninsured women, to reduce their heart disease and stroke risk. Participants learn behaviour-changing skills tailored to low-income populations, such as collaborative goal setting, the need to take small steps and other empowerment techniques. Aim: To quantify the baseline prevalence of pre-diabetes (fasting blood glucose 5.5–6.9 mmol/l) and diabetes among WISEWOMAN participants and assess one year changes in glucose levels and other diabetes risk factors. Methods: We used 1998–2005 baseline and one-year follow-up data from WISEWOMAN participants. Using a multilevel regression model, we assessed one-year changes in glucose, blood pressure (BP), total cholesterol and 10-year risk of coronary heart disease (CHD) among participants with baseline pre-diabetes (n=688) or diabetes (n=338). Results: At baseline, 15% of participants had pre-diabetes and 10% had diabetes. Of those with diabetes, 26% were unaware of their condition before baseline screening. During the one-year follow-up period, participants with pre-diabetes experienced statistically significant improvements in glucose (2.9%) and cholesterol (2.1%) levels and 10-year CHD risk (4.3%). Participants with newly diagnosed diabetes experienced statistically significant improvements in glucose (11.5%), BP (3.1%–3.5%) and cholesterol (6.4%) levels. Participants with previously diagnosed diabetes experienced significant improvements in BP (1.9–3.4%), cholesterol level (3.8%), and 10-year CHD risk (8.5%). Conclusions: Implementing patient-centered, comprehensive and multilevel interventions and demonstrating their effectiveness will likely lead to the adoption of this approach on a much broader scale