Reach, Uptake, and Satisfaction of Three Delivery Modes of FUEL Your Life.

Background. FUEL Your Life (FYL) is a worksite translation of the Diabetes Prevention Program (DPP). In a randomized controlled trial, participants in a phone coaching condition demonstrated greater weight loss compared to participants in a group coaching or self-study condition. The purpose of this article is to describe the differences in participant reach, intervention uptake, and participant satisfaction for each delivery mode. Method. Employees who were overweight, obese, or at high risk for diabetes were recruited from city-county governments. Process evaluation data were collected from health coach records, participant surveys, and research team records. Differences between groups were tested using Pearson chi-square test and one-way analysis of variance. Results. Employee reach of targeted enrollment was highest for the self-study condition. Overall, intervention uptake was highest in the phone coaching condition. Participants who received phone coaching had increased uptake of the participant manual and self-monitoring of food compared to participants who received group coaching or self-study. Discussion. FYL demonstrated that DPP could be effectively delivered in the worksite by three different modalities. When implemented in a self-study mode, reach is greater but intervention uptake is lower. Phone health coaching was associated with greater intervention exposure.

Implementation of a Statewide Policy Mandating School-Based Fitness Assessment Screening, Georgia: 2018.

Objectives. To evaluate the statewide implementation of childhood fitness assessment and reporting in Georgia.Methods. We collected survey data from 1683 (919 valid responses from a random-digit-dialed survey and 764 valid responses from a Qualtrics panel) parents of public school students in Georgia in 2018.Results. Most parents reported that their child participated in fitness assessments at school, yet only 31% reported receiving results. If a child was identified as needing improvement, parents were significantly more likely to change the diet and exercise of both the child and the family.Conclusions. A state-level mandatory fitness assessment for children may be successful in state-level surveillance of fitness levels; parental awareness of the policy, receipt of the fitness assessment information, and action on receiving the screening information require more efforts in implementation.

Law Accommodating Nonmotorized Road Users and Pedestrian Fatalities in Florida, 1975 to 2013.

OBJECTIVES: To examine the effect of Florida's adoption of Statute 335.065-a law requiring the routine accommodation of nonmotorized road users (i.e., a "Complete Streets" policy)-on pedestrian fatalities and to identify factors influencing its implementation. METHODS: We used a multimethod design (interrupted time-series quasi-experiment and interviews) to calculate Florida's pedestrian fatality rates from 1975 to 2013-39 quarters before and 117 quarters after adoption of the law. Using statistical models, we compared Florida with regional and national comparison groups. Semistructured interviews were conducted with 10 current and former Florida transportation professionals in 2015. RESULTS: Florida's pedestrian fatality rates decreased significantly-by at least 0.500% more each quarter-after Statute 335.065 was adopted, resulting in more than 3500 lives saved across 29 years. Interviewees described supports and challenges associated with implementing the law. CONCLUSIONS: Florida Statute 335.065 is associated with a 3-decade decrease in pedestrian fatalities. The study also reveals factors that influenced the implementation and effectiveness of the law. Public Health Implications. Transportation policies-particularly Complete Streets policies-can have significant, quantifiable impacts on population health. Multimethod designs are valuable approaches to policy evaluations.

The impact of nursing students on the health-related quality of life and perceived social support of a rural population in Ecuador: effects of a service-based learning course.

BACKGROUND: Students seeking degrees in healthcare in Ecuador participate in community improvement projects and provide free health services under the supervision of faculty health professionals. The aim of this study is to determine the impact of a community-based intervention delivered by nursing students on health-related quality of life (HRQoL) and perceived social support of a rural population in Ecuador. METHODS: A quasi-experimental non-equivalent control group design study was conducted in two rural communities in Tumbaco, Ecuador. Families from one rural community were invited to participate in the intervention, receiving 8 weekly home visits from nursing students. Families from a neighboring community were similarly recruited as wait-list controls. One member of each family was consented into the study; the final sample included 43 intervention participants and 55 control participants. HRQoL and perceived social support were assessed before and after the intervention in both groups. The SF-12 was used to measure HRQoL, including eight domain scores and two composite scores, and the Interpersonal Support Evaluation List was used as an indicator of perceived social support. Difference-in-differences (DD) analyses were conducted to mitigate the effects of any baseline differences in the non- equivalent control group design. RESULTS: When compared to the control group, the intervention group realized significant improvements in the physical component summary score of the SF-12 (4.20, p < 0.05) and the physical function domain of the SF-12 (4.92, p < 0.05). There were no statistically significant differences for any other components of the SF-12 or in the measure of perceived social support. CONCLUSIONS: Nursing students completing their rural service rotation have the potential to improve the health-related quality of life of rural residents in Ecuador. Future research should continue to examine the impact of service-based learning on recipient populations.

Implementing a Statewide Safe to Sleep Hospital Initiative: Lessons Learned.

Sleep-related infant deaths continue to be a major, largely preventable cause of infant mortality, especially in Georgia. The Georgia Department of Public Health (DPH), as part of a multi-pronged safe infant sleep campaign, implemented a hospital initiative to (1) provide accurate safe infant sleep information to hospital personnel; (2) support hospitals in implementing and modeling safe sleep practices; and (3) provide guidance on addressing caregiver safe sleep concerns. A process evaluation was conducted to determine progress toward four goals set out by DPH: (1) all birthing hospitals have a safe infant sleep policy; (2) all safe infant sleep policies reference the AAP 2011 recommendations; (3) all safe infant sleep policies specify the type and/or content of patient safe sleep education; and (4) all hospitals require regular staff training on safe sleep recommendations. Data were collected via structured interviews and document review of crib audit data and safe sleep policies. All 79 birthing hospitals in the state participated in the statewide campaign. Prior to the initiative, 44.3% of hospitals had a safe sleep policy in place; currently, 87.3% have a policy in place. The majority (91.4%) of hospitals have provided safe sleep training to their staff at this time. Important lessons include: (1) Engagement is vital to success; (2) A comprehensive implementation guide is critical; (3) Piloting the program provides opportunities for refinement; (4) Ongoing support addresses barriers; and (5) Senior leadership facilitates success.

The Protecting Strong African American Families Program: a Randomized Controlled Trial with Rural African American Couples.

This study presents results from a randomized controlled trial of the Protecting Strong African American Families (ProSAAF) program, a family-centered intervention designed to promote strong couple, coparenting, and parent-child relationships in two-parent African American families. A total of 346 African American couples with an early adolescent child participated; all families lived in rural, low-income communities in the southern USA. Intent-to-treat growth curve analyses involving three waves and spanning 17 months indicated that ProSAAF participants, compared with control participants, reported greater improvements in relationship communication, confidence, satisfaction, partner support, coparenting, and parenting. More than 80% of the couples attended all six of the in-home, facilitator-led sessions; costs to implement the program averaged $1739 per family. The findings inform the ongoing debate surrounding prevention programs for low-income and ethnic minority couples.

Economic analysis of a multi-site prevention program: assessment of program costs and characterizing site-level variability.

Programmatic cost analyses of preventive interventions commonly have a number of methodological difficulties. To determine the mean total costs and properly characterize variability, one often has to deal with small sample sizes, skewed distributions, and especially missing data. Standard approaches for dealing with missing data such as multiple imputation may suffer from a small sample size, a lack of appropriate covariates, or too few details around the method used to handle the missing data. In this study, we estimate total programmatic costs for a prevention trial evaluating the Strong African American Families-Teen program. This intervention focuses on the prevention of substance abuse and risky sexual behavior. To account for missing data in the assessment of programmatic costs we compare multiple imputation to probabilistic sensitivity analysis. The latter approach uses collected cost data to create a distribution around each input parameter. We found that with the multiple imputation approach, the mean (95 % confidence interval) incremental difference was $2,149 ($397, $3,901). With the probabilistic sensitivity analysis approach, the incremental difference was $2,583 ($778, $4,346). Although the true cost of the program is unknown, probabilistic sensitivity analysis may be a more viable alternative for capturing variability in estimates of programmatic costs when dealing with missing data, particularly with small sample sizes and the lack of strong predictor variables. Further, the larger standard errors produced by the probabilistic sensitivity analysis method may signal its ability to capture more of the variability in the data, thus better informing policymakers on the potentially true cost of the intervention.

Benefits and costs of a free community-based primary care clinic.

This study estimates the benefits and costs of a free clinic providing primary care services. Using matched data from a free clinic and its corresponding regional hospital on a sample of newly enrolled clinic patients, patients' non-urgent emergency department (ED) and inpatient hospital costs in the year prior to clinic enrollment were compared to those in the year following enrollment to obtain financial benefits. We compare these to annual estimates of the costs associated with the delivery of primary care to these patients. For our sample (n = 207), the annual non-urgent ED and inpatient costs at the hospital fell by $170 per patient after clinic enrollment. However, the cost associated with delivering primary care in the first year after clinic enrollment cost $505 per patient. The presence of a free primary care clinic reduces hospital costs associated with non-urgent ED use and inpatient care. These reductions in costs need to be sustained for at least 3 years to offset the costs associated with the initially high diagnostic and treatment costs involved in the delivery of primary care to an uninsured population.

Online-Delivered Over Staff-Delivered Parenting Intervention for Young Children With Disruptive Behavior Problems: Cost-Minimization Analysis.

BACKGROUND: High-prevalence childhood mental health problems like early-onset disruptive behavior problems (DBPs) pose a significant public health challenge and necessitate interventions with adequate population reach. The treatment approach of choice for childhood DBPs, namely evidence-based parenting intervention, has not been sufficiently disseminated when relying solely on staff-delivered services. Online-delivered parenting intervention is a promising strategy, but the cost minimization of this delivery model for reducing child DBPs is unknown compared with the more traditional staff-delivered modality. OBJECTIVE: This study aimed to examine the cost-minimization of an online parenting intervention for childhood disruptive behavior problems compared with the staff-delivered version of the same content. This objective, pursued in the context of a randomized trial, made use of cost data collected from parents and service providers. METHODS: A cost-minimization analysis (CMA) was conducted comparing the online and staff-delivered parenting interventions. Families (N=334) with children 3-7 years old, who exhibited clinically elevated disruptive behavior problems, were randomly assigned to the two parenting interventions. Participants, delivery staff, and administrators provided data for the CMA concerning family participation time and expenses, program delivery time (direct and nondirect), and nonpersonnel resources (eg, space, materials, and access fee). The CMA was conducted using both intent-to-treat and per-protocol analytic approaches. RESULTS: For the intent-to-treat analyses, the online parenting intervention reflected significantly lower program costs (t168=23.2; P<.001), family costs (t185=9.2; P<.001), and total costs (t171=19.1; P<.001) compared to the staff-delivered intervention. The mean incremental cost difference between the interventions was $1164 total costs per case. The same pattern of significant differences was confirmed in the per-protocol analysis based on the families who completed their respective intervention, with a mean incremental cost difference of $1483 per case. All costs were valued or adjusted in 2017 US dollars. CONCLUSIONS: The online-delivered parenting intervention in this randomized study produced substantial cost minimization compared with the staff-delivered intervention providing the same content. Cost minimization was driven primarily by personnel time and, to a lesser extent, by facilities costs and family travel time. The CMA was accomplished with three critical conditions in place: (1) the two intervention delivery modalities (ie, online and staff) held intervention content constant; (2) families were randomized to the two parenting interventions; and (3) the online-delivered intervention was previously confirmed to be non-inferior to the staff-delivered intervention in significantly reducing the primary outcome, child disruptive behavior problems. Given those conditions, cost minimization for the online parenting intervention was unequivocal. TRIAL REGISTRATION: ClinicalTrials.gov NCT02121431; https://clinicaltrials.gov/ct2/show/NCT02121431.

Benefits of preventing a death associated with child maltreatment: evidence from willingness-to-pay survey data.

Although assessing the costs of an intervention to prevent child maltreatment is straightforward, placing a monetary value on benefits is challenging. Respondents participating in a statewide random-digit-dialed survey were asked how much they would be willing to pay to prevent a death caused by child maltreatment. Our results suggested that society may value preventing a death from child maltreatment at $15 million. If a child maltreatment intervention is effective enough to save even 1 life, then in many cases, its benefits will outweigh its costs.

There's no such thing as a free TB diagnosis: Catastrophic TB costs in Urban Uganda.

Identifying and reducing TB-related costs is necessary for achieving the End TB Strategy's goal that no family is burdened with catastrophic costs. This study explores costs during the pre-diagnosis period and assesses the potential for using coping costs as a proxy indicator for catastrophic costs when comprehensive surveys are not feasible. Detailed interviews about TB-related costs and productivity losses were conducted with 196 pulmonary TB patients in Kampala, Uganda. The threshold for catastrophic costs was defined as 20% of household income. Multivariable regression analyses were used to assess the influence of patient characteristics on economic burden, and the positive predictive value (PPV) of coping costs was estimated. Over 40% of patients experienced catastrophic costs, with average (median) pre-diagnosis costs making up 30.6% (14.1%) of household income. Low-income status (AOR = 2.91, 95% CI = 1.29, 6.72), hospitalisation (AOR = 8.66, 95% CI = 2.60; 39.54), and coping costs (AOR = 3.84, 95% CI = 1.81; 8.40) were significantly associated with the experience of catastrophic costs. The PPV of coping costs as an indicator for catastrophic costs was estimated to be 73% (95% CI = 58%, 84%). TB patients endure a substantial economic burden during the pre-diagnosis period, and identifying households that experience coping costs may be a useful proxy measure for identifying catastrophic costs.

Cost-effectiveness of couples' voluntary HIV counselling and testing in six African countries: a modelling study guided by an HIV prevention cascade framework.

INTRODUCTION: Couples' voluntary HIV counselling and testing (CVCT) is a high-impact HIV prevention intervention in Rwanda and Zambia. Our objective was to model the cost-per-HIV infection averted by CVCT in six African countries guided by an HIV prevention cascade framework. The HIV prevention cascade as yet to be applied to evaluating CVCT effectiveness or cost-effectiveness. METHODS: We defined a priority population for CVCT in Africa as heterosexual adults in stable couples. Based on our previous experience nationalizing CVCT in Rwanda and scaling-up CVCT in 73 clinics in Zambia, we estimated HIV prevention cascade domains of motivation for use, access and effectiveness of CVCT as model parameters. Costs-per-couple tested were also estimated based on our previous studies. We used these parameters as well as country-specific inputs to model the impact of CVCT over a five-year time horizon in a previously developed and tested deterministic compartmental model. We consider six countries across Africa with varied HIV epidemics (South Africa, Zimbabwe, Kenya, Tanzania, Ivory Coast and Sierra Leone). Outcomes of interest were the proportion of HIV infections averted by CVCT, nationwide CVCT implementation costs and costs-per-HIV infection averted by CVCT. We applied 3%/year discounting to costs and outcomes. Univariate and Monte Carlo multivariate sensitivity analyses were conducted. RESULTS: We estimated that CVCT could avert between 54% (Sierra Leone) and 62% (South Africa) of adult HIV infections. Average costs-per-HIV infection averted were lowest in Zimbabwe ($550) and highest in South Africa ($1272). Nationwide implementations would cost between 7% (Kenya) and 21% (Ivory Coast) of a country's President's Emergency Plan for AIDS Relief (PEPFAR) budget over five years. In sensitivity analyses, model outputs were most sensitive to estimates of cost-per-couple tested; the proportion of adults in heterosexual couples and HIV prevention cascade domains of CVCT motivation and access. CONCLUSIONS: Our model indicates that nationalized CVCT could prevent over half of adult HIV infections for 7% to 21% of the modelled countries' five-year PEPFAR budgets. While other studies have indicated that CVCT motivation is high given locally relevant promotional and educational efforts, without required indicators, targets and dedicated budgets, access remains low.

Health-related quality of life among adults who experienced maltreatment during childhood.

OBJECTIVES: We sought to assess the difference in a preference-based measure of health among adults reporting maltreatment as a child versus those reporting no maltreatment. METHODS: Using data from a study of adults who reported adverse childhood experiences and current health status, we matched adults who reported childhood maltreatment (n = 2812) to those who reported no childhood maltreatment (n = 3356). Propensity score methods were used to compare the 2 groups. Health-related quality-of-life data (or "utilities") were imputed from the Medical Outcomes Study 36-Item Short Form Health Survey using the Short Form-6D preference-based scoring algorithm. RESULTS: The combined strata-level effects of maltreatment on Short Form-6D utility was a reduction of 0.028 per year (95% confidence interval=0.022, 0.034; P<.001). All utility losses for the childhood-maltreatment versus no-childhood-maltreatment groups by age group were significantly different: 18-39 years, 0.042; 40-49 years, 0.038; 50-59 years, 0.023; 60-69 years, 0.016; 70 or more years, 0.025. CONCLUSIONS: Persons who experienced childhood maltreatment had significant and sustained losses in health-related quality of life in adulthood relative to persons who did not experience maltreatment. These data are useful for assessing the cost-effectiveness of interventions designed to prevent child maltreatment in terms of cost per quality-adjusted life years saved.

Propensity for intimate partner abuse and workplace productivity: why employers should care.

It has been demonstrated that intimate partner violence (IPV) victimization is costly to employers, but little is known about the economic consequences associated with employing perpetrators. This study investigated propensity for partner abuse as a predictor of missed work time and on-the-job decreases in productivity among a small sample of male employees at a state agency (N=61). Results suggest that greater propensity for abusiveness is positively associated with missing work and experiencing worse productivity on the job, controlling for level of education, income, marital status, age, and part-time versus full-time employment status. Additional research could clarify whether IPV perpetration is a predictor of decreased productivity among larger samples and a wider variety of workplace settings. Employers and IPV advocates should consider responding to potential IPV perpetrators through the workplace in addition to developing victim-oriented policies and prevention initiatives.

Benefit-Cost Analysis of Undergraduate Education Programs: An Example Analysis of the Freshman Research Initiative.

Institutions and administrators regularly have to make difficult choices about how best to invest resources to serve students. Yet economic evaluation, or the systematic analysis of the relationship between costs and outcomes of a program or policy, is relatively uncommon in higher education. This type of evaluation can be an important tool for decision makers considering questions of resource allocation. Our purpose with this essay is to describe methods for conducting one type of economic evaluation, a benefit-cost analysis (BCA), using an example of an existing undergraduate education program, the Freshman Research Initiative (FRI) at the University of Texas Austin. Our aim is twofold: to demonstrate how to apply BCA methodologies to evaluate an education program and to conduct an economic evaluation of FRI in particular. We explain the steps of BCA, including assessment of costs and benefits, estimation of the benefit-cost ratio, and analysis of uncertainty. We conclude that the university's investment in FRI generates a positive return for students in the form of increased future earning potential.

Cost Effectiveness of a Weight Management Program Implemented in the Worksite: Translation of Fuel Your Life.

OBJECTIVE: Conduct a cost-effectiveness analysis of the Fuel Your Life (FYL) program dissemination. METHODS: Employees were recruited from three workplaces randomly assigned to one of the conditions: telephone coaching, small group coaching, and self-study. Costs were collected prospectively during the efficacy trial. The main outcome measures of interest were weight loss and quality-adjusted life years (QALYs). RESULTS: The phone condition was most costly ($601 to $589/employee) and the self-study condition was least costly ($145 to $143/employee). For weight loss, delivering FYL through the small group condition was no more effective, yet more expensive, than the self-study delivery. For QALYs, the group delivery of FYL was in an acceptable cost-effectiveness range ($22,400/QALY) relative to self-study (95% confidence interval [CI]: $10,600/QALY-dominated). CONCLUSIONS: Prevention programs require adaptation at the local level and significantly affect the cost, effectiveness, and cost-effectiveness of the program.

Child maltreatment, youth violence, and intimate partner violence: developmental relationships.

BACKGROUND: Understanding the cycle of violence, from victimization to perpetration across the life span, is critical for designing successful prevention interventions. This study uses a nationally representative sample to examine the developmental relationships among three forms of child maltreatment, youth violence perpetration or victimization, and young adult intimate partner violence (IPV) perpetration or victimization. METHODS: Data describing self-reported youth violence perpetration (or victimization) from Wave I of the National Longitudinal Study of Adolescent Health (1994-1995) were matched with self-reported IPV perpetration (or victimization) in young adult sexual relationships and retrospective reports of child maltreatment collected during Wave III (2001-2002). Bivariate probit regression models were used to analyze the developmental relationships between child maltreatment, youth violence, and IPV. Analyses were completed in September 2006. RESULTS: Compared to nonvictims of child maltreatment, victims of child maltreatment are more likely to perpetrate youth violence (a likelihood increase ranging from -1.2% to 6.6% for females and 3.7% to 11.9% for males) and young adult IPV (an increase from 8.7% to 10.4% for females and from 1.3% to 17.2% for males), although the direct and indirect effects vary by type of child maltreatment experienced. Gender differences exist in the links between child maltreatment, youth violence and IPV, and in the effects of socioeconomic factors on youth violence and IPV. CONCLUSIONS: Results suggest that it may be important to account for gender differences when designing violence prevention programs, and an integrative approach is critical for stopping the developmental trajectory of violence.

Medical costs and productivity losses due to interpersonal and self-directed violence in the United States.

BACKGROUND: Violence-related injuries, including suicide, adversely affect the health and welfare of all Americans through premature death, disability, medical costs, and lost productivity. Estimating the magnitude of the economic burden of violence is critical for understanding the potential amount of resources that can be saved if cost-effective violence prevention efforts can be broadly applied. From 2003 to 2005, the lifetime medical costs and productivity losses associated with medically treated injuries due to interpersonal and self-directed violence occurring in the United States in 2000 were assessed. METHODS: Several nationally representative data sets were combined to estimate the incidence of fatal and nonfatal injuries due to violence. Unit medical and productivity costs were computed and then multiplied by corresponding incidence estimates to yield total lifetime costs of violence-related injuries occurring in 2000. RESULTS: The total costs associated with nonfatal injuries and deaths due to violence in 2000 were more than $64.8 [corrected] billion. Most of this cost ($64.4 billion or 92%) was due to lost productivity. However, an estimated $5.6 billion was spent on medical care for the more than 2.5 million injuries due to interpersonal and self-directed violence. CONCLUSIONS: The burden estimates reported here provide evidence of the large health and economic burden of violence-related injuries in the U.S. But the true burden is likely far greater and the need for more research on violence surveillance and prevention are discussed.

Measuring health-related quality of life for child maltreatment: a systematic literature review.

BACKGROUND: Child maltreatment causes substantial morbidity and mortality in the U.S. Morbidity associated with child maltreatment can reduce health-related quality of life. Accurately measuring the reduction in quality of life associated with child maltreatment is essential to the economic evaluation of educational programs and interventions to reduce the incidence of child maltreatment. The objective of this study was to review the literature for existing approaches and instruments for measuring quality-of-life for child maltreatment outcomes. METHODS: We reviewed the current literature to identify current approaches to valuing child maltreatment outcomes for economic evaluations. We also reviewed available preference-based generic QOL instruments (EQ-5D, HUI, QWB, SF-6D) for appropriateness in measuring change in quality of life due to child maltreatment. RESULTS: We did not identify any studies that directly evaluated quality-of-life in maltreated children. We identified 4 studies that evaluated quality of life for adult survivors of child maltreatment and 8 studies that measured quality-of-life for pediatric injury not related to child maltreatment. No study reported quality-of-life values for children younger than age 3. Currently available preference-based QOL instruments (EQ-5D, HUI, QWB, SF-6D) have been developed primarily for adults with the exception of the Health Utilities Index. These instruments do not include many of the domains identified as being important in capturing changes in quality of life for child maltreatment, such as potential for growth and development or psychological sequelae specific to maltreatment. CONCLUSION: Recommendations for valuing preference-based quality-of-life for child maltreatment will vary by developmental level and type of maltreatment. In the short-term, available multi-attribute utility instruments should be considered in the context of the type of child maltreatment being measured. However, if relevant domains are not included in existing instruments or if valuing health for children less than 6 years of age, direct valuation with a proxy respondent is recommended. The choice of a proxy respondent is not clear in the case of child maltreatment since the parent may not be a suitable proxy. Adult survivors should be considered as appropriate proxies. Longer-term research should focus on identifying the key domains for measuring child health and the development of preference-based quality-of-life instruments that are appropriate for valuing child maltreatment outcomes.