Economic Report of General Inpatient Hospice in an Academic Medical Center

This study examined if there was difference in cost of care after implementation of scattered bed inpatient hospice, first implemented in October 2021 in an Academic Medical Center in Arkansas. This retrospective, cross-sectional study compared the cost of care during the pre-implementation phase (n = 121, July 2020-March 2021) to patients admitted to hospice care (n = 84, October 2021-June 2022). Hospice length of stay (LOS) was 4 times longer than the LOS after a Do Not Resuscitate order (DNR) was placed for patients in the pre-implementation period. The end of life costs after the implementation of inpatient hospice was 69% less than the end of life costs in the pre-implementation period.

Association of copayments with healthcare utilization and expenditures among Medicaid enrollees with a substance use disorder

BACKGROUND

The purpose of this study was to examine the association between copayments and healthcare utilization and expenditures among Medicaid enrollees with substance use disorders.

METHODS

This study used claims data (2020-2021) from a private insurer participating in Arkansas's Medicaid expansion. We compared service utilization and expenditures for enrollees in different Medicaid program structures with varying copayments. Enrollees with incomes above 100 % FPL (N = 10,240) had copayments for substance use treatment services while enrollees below 100 % FPL (N = 2478) did not. Demographic, diagnostic, utilization, and cost information came from claims and enrollment information. The study identified substance use and clinical comorbidities using claims from July through December 2020 and evaluated utilization and costs in 2021. Generalized linear models (GLM) estimated outcomes using single equation and two-part modeling. A gamma distribution and log link were used to model expenditures, and negative binomial models were used to model utilization. A falsification test comparing behavioral health telemedicine utilization, which had no cost sharing in either group, assessed whether differences in the groups may be responsible for observed findings.

RESULTS

Substance use enrollees with copayments were less likely to have a substance use or behavioral health outpatient (-0.04 PP adjusted; p = 0.001) or inpatient visit (-0.04 PP; p = 0.001) relative to their counterparts without copayments, equal to a 17 % reduction in substance use or behavioral health outpatient services and a nearly 50 % reduction in inpatient visits. The reduced utilization among enrollees with a copayment was associated with a significant reduction in total expenses ($954; p = 0.001) and expenses related to substance use or behavioral health services ($532; p = 0.001). For enrollees with at least one behavioral health visit, there were no differences in outpatient or inpatient utilization or expenditures between enrollees with and without copayments. Copayments had no association with non-behavioral health or telemedicine services where neither group had cost sharing.

CONCLUSION

Copayments serve as an initial barrier to substance use treatment, but are not associated with the amount of healthcare utilization conditional on using services. Policy makers and insurers should consider the role of copayments for treatment services among enrollees with substance use disorders in Medicaid programs.

Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model

OBJECTIVE

Previous machine learning approaches fail to consider race and ethnicity and social determinants of health (SDOH) to predict childhood asthma exacerbations. A predictive model for asthma exacerbations in children is developed to explore the importance of race and ethnicity, rural-urban commuting area (RUCA) codes, the Child Opportunity Index (COI), and other ICD-10 SDOH in predicting asthma outcomes.

METHODS

Insurance and coverage claims data from the Arkansas All-Payer Claims Database were used to capture risk factors. We identified a cohort of 22,631 children with asthma aged 5-18 years with 2 years of continuous Medicaid enrollment and at least one asthma diagnosis in 2018. The goal was to predict asthma-related hospitalizations and asthma-related emergency department (ED) visits in 2019. The analytic sample was 59% age 5-11 years, 39% White, 33% Black, and 6% Hispanic. Conditional random forest models were used to train the model.

RESULTS

The model yielded an area under the curve (AUC) of 72%, sensitivity of 55% and specificity of 78% in the OOB samples and AUC of 73%, sensitivity of 58% and specificity of 77% in the training samples. Consistent with previous literature, asthma-related hospitalization or ED visits in the previous year (2018) were the two most important variables in predicting hospital or ED use in the following year (2019), followed by the total number of reliever and controller medications.

CONCLUSIONS

Predictive models for asthma-related exacerbation achieved moderate accuracy, but race and ethnicity, ICD-10 SDOH, RUCA codes, and COI measures were not important in improving model accuracy.

Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children

OBJECTIVES

To determine the association between the asthma medication ratio (AMR) quality measure and adverse outcomes among Medicaid-enrolled children with asthma in Arkansas, given concerns regarding the utility of the AMR in evaluating pediatric risk of asthma-related adverse events (AAEs).

METHODS

We used the Arkansas All-Payer Claims Database to identify Medicaid-enrolled children with asthma using a nonrestrictive case definition and additionally using the standard Healthcare Effectiveness Data and Information Set (HEDIS) persistent asthma definition. We assessed the AMR using the traditional dichotomous HEDIS AMR categorization and across 4 expanded AMR categories. Regression models assessed associations between AMR and AAE including hospitalization and emergency department utilization, with models conducted overall and by race and ethnicity.

RESULTS

Of the 22 788 children in the analysis, 9.0% had an AAE (6.7% asthma-related emergency department visits; 3.0% asthma-related hospitalizations). We found poor correlation between AMR and AAE, with higher rates of AAE (10.5%) among children with AMR ≥0.5 compared with AMR <0.5 (8.5%; P < .001), and similar patterns stratified by racial and ethnic subgroups. Expanded AMR categorization revealed notable differences in associations between AMR and AAEs, compared with traditional dichotomous categorization, with worse performance in Black children.

CONCLUSIONS

The AMR performed poorly in identifying risk of adverse outcomes among Medicaid-enrolled children with asthma. These findings underscore concerns of the utility of the AMR in population health management and reliance on restrictive HEDIS definitions. New population health frameworks incorporating broader considerations that accurately identify at-risk children are needed to improve equity in asthma management and outcomes.

Cost-benefit analysis of home visiting to reduce infant mortality among preterm infants

PURPOSE

The Following Baby Back Home (FBBH) visiting program, which is provided by nurse and social worker teams, supports families of low-birthweight preterm infants after discharge from a neonatal intensive care unit. Enrollment in the FBBH program has been documented to reduce the likelihood of infant death. In this study, we conducted a cost-benefit analysis of the FBBH program.

DESIGN AND METHODS

Infants enrolled in the FBBH program (N = 416) were identified through administrative records. Infants in the FBBH program were propensity score matched with comparison infants to estimate the difference in healthcare costs in the first year of life.

RESULTS

Infants enrolled in the FBBH program incurred similar medical care costs compared to a comparison group. Avoided deaths, program costs, healthcare costs resulted in net economic benefits of the FBBH program to avoid infant death estimate at $83,020, cost per life saved at $3080, and benefit-to-cost ratio at 27.95.

CONCLUSIONS

The FBBH program's net economic benefits from avoided deaths suggest a substantial return on investment of resources, yielding benefits in excess of program and healthcare costs.

PRACTICE IMPLICATIONS

It is economically beneficial to provide home visiting services to families of low-birthweight babies by a team comprised of a registered nurse and social worker.

Rates Of Preterm Birth And Low Birthweight: An Analysis Of Racial And Ethnic Populations

Using National Center for Health Statistics data (2016-20), we evaluated variation in low birthweight and prematurity among racial and ethnic subcategories. Disparities as large as 2.3-fold among rates of low birthweight for "multiple race" subcategories underscore the need for granular data stratification and analysis by racial and ethnic subcategories to address the root causes of inequities in infant outcomes.

Variation in Time Between Testing Positive for COVID-19 and Hospital Admission by Race/Ethnicity and Insurance Status

Understanding the extent to which demographic and socioeconomic factors play a role in the disparities associated with duration between testing positive for COVID-19 and hospital admission will help in achieving equitable health outcomes. This project linked the statewide COVID-19 registry to administrative datasets to examine the variation in times between testing positive for COVID-19 and hospital admission by race/ethnicity and insurance. In 2020, there were 11,314 patients admitted for COVID-19 in Arkansas. Approximately 42.2% tested positive for COVID-19 on the same day as hospital admission. Black patients had 38% higher odds of hospitalization on the day of testing compared with White patients (p<.001). Medicaid and uninsured patients had 51% and 50% higher odds of admission on the day of testing compared with privately insured patients (both p<.001), respectively. This study highlights the implications of reduced access to testing with respect to equitable health outcomes.

Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial

Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and high cost of delivery. The artificial intelligence (AI) technique of reinforcement learning (RL) is an optimization solution that tracks outcomes associated with specific actions and, over time, learns which actions yield a desired outcome. RL is increasingly utilized to optimize medical treatments (e.g., chemotherapy dosages), and has very recently started to be utilized by behavioral treatments. For example, we previously demonstrated that RL successfully optimized BWL by dynamically choosing between treatments of varying cost/intensity each week for each participant based on automatic monitoring of digital data (e.g., weight change). In that preliminary work, participants randomized to the AI condition required one-third the amount of coaching contact as those randomized to the gold standard condition but had nearly identical weight losses. The current protocol extends our pilot work and will be the first full-scale randomized controlled trial of a RL system for weight control. The primary aim is to evaluate the hypothesis that a RL-based 12-month BWL program will produce non-inferior weight losses to standard BWL treatment, but at lower costs. Secondary aims include testing mechanistic targets (calorie intake, physical activity) and predictors (depression, binge eating). As such, adults with overweight/obesity (N = 336) will be randomized to either a gold standard condition (12 months of weekly BWL groups) or AI-optimized weekly interventions that represent a combination of expert-led group, expert-led call, paraprofessional-led call, and automated message). Participants will be assessed at 0, 1, 6 and 12 months.

Geographic variation in Medicare home health expenditures

OBJECTIVES

To quantify geographic variation in home health expenditures per Medicare home health beneficiary and investigate factors associated with this variation.

STUDY DESIGN

Retrospective study design analyzing US counties in which at least 1 home health agency served 11 or more beneficiaries in 2016. Several sources of 2016 national public data were used.

METHODS

The key variable is county-level Medicare home health expenditures per home health beneficiary. Counties were grouped into quintiles based on per-beneficiary expenditures. Analyses included calculation of coefficients of variation, computation of the ratio of 90th percentile to 10th percentile in expenditures, and linear regression predicting expenditure. The control variables included characteristics of patients, agencies, and communities.

RESULTS

Significant variation in home health expenditures was identified across county quintiles, with a 90th-to-10th-percentile expenditure ratio of 2.5. The percentage of for-profit agencies in the lowest quintile was 15.7 compared with 81.7 in the highest quintile of spending. Unadjusted spending differed by $3864 (95% CI, $3793-$3936), compared with $3611 (95% CI, $3514-$3708) in the adjusted model, between counties in spending quintiles 1 and 5. Although state fixed effects explained nearly 20% of the variation in home health expenditures, 42% of the variation remained unexplained.

CONCLUSIONS

Home health care exhibits considerable unwarranted variation in per-patient expenditures across counties, signifying inefficiency and waste. Given the expected growth in home health demand, strategies to reduce unwarranted geographic variation are needed.

Identification of racial/ethnic disparities associated with severe maternal morbidity using the Arkansas All-Payer Claims Database (2013-2017)

OBJECTIVE

To evaluate the effect of maternal characteristics on the odds of severe maternal morbidity (SMM) through 42 days postpartum.

STUDY DESIGN

We conducted a retrospective observational study of 77 172 births using birth certificate and insurance claims data from the Arkansas All Payers Claims Database, years 2013-2017, to identify racial disparities associated with SMM for births between April 1, 2014, and November 19, 2017.

METHODS

Multiple logistic regression was used to examine the effect of sociodemographic factors and clinical comorbidities on the odds of SMM among non-Hispanic white ("white"), non-Hispanic Black ("Black"), and Hispanic women.

RESULTS

The rate of SMM was 227.41 per 10 000 births, with Black women (330 per 10 000 births; 95% CI: 296.16-366.38), having a significantly higher rates than white women (197; 95% CI: 171.72-225.84) and Hispanic women (180; 95% CI: 155.86-207.54). After adjusting for maternal demographics, birth-related clinical variables, and comorbidities, SMM remained higher among Black women (aOR 1.37; 95% CI 1.11-1.70) relative to white women.

CONCLUSIONS

Comorbidities, socioeconomic factors, and other factors did not fully explain the Black-white disparities in SMM. Persistent disparities in the rates of SMM throughout 42 days postpartum among Black women relative to white women points to the need for higher quality, more equitable care for women of color in the fist months postpartum.

Association of the COVID-19 pandemic and dying at home due to ischemic heart disease

The coronavirus disease 2019 (COVID-19) pandemic has been associated with a declining volume of patients seen in the emergency department. Despite the need for seeking urgent care for conditions such as myocardial infarction, many people may not seek treatment. This study seeks to measure associations between the COVID-19 pandemic and location of death among individuals who died from ischemic heart disease (IHD). Data obtained from death certificates from the Arkansas Department of Health was used to conduct a difference-in-difference analysis to assess whether decedents of IHD were more likely to die at home during the pandemic (March 2020 through September 2020). The analysis compared location of death for decedents of IHD pre and during the pandemic to location of death for decedents from non-natural causes. Before the pandemic, 50.0% of decedents of IHD died at home compared to 57.9% dying at home during (through September 2020) the pandemic study period (p < .001). There was no difference in the proportion of decedents who died at home from non-natural causes before and during the pandemic study period (55.8% vs. 53.5%; p = .21). After controlling for confounders, there was a 48% increase in the odds of dying at home from IHD during the pandemic study period (p < .001) relative to the change in dying at home due to non-natural causes. During the study period, there was an increase in the proportion of decedents who died at home due to IHD. Despite the ongoing pandemic, practitioners should emphasize the need to seek urgent care during an emergency.

Understanding racial disparities in severe maternal morbidity using Bayesian network analysis

Previous studies have evaluated the marginal effect of various factors on the risk of severe maternal morbidity (SMM) using regression approaches. We add to this literature by utilizing a Bayesian network (BN) approach to understand the joint effects of clinical, demographic, and area-level factors. We conducted a retrospective observational study using linked birth certificate and insurance claims data from the Arkansas All-Payer Claims Database (APCD), for the years 2013 through 2017. We used various learning algorithms and measures of arc strength to choose the most robust network structure. We then performed various conditional probabilistic queries using Monte Carlo simulation to understand disparities in SMM. We found that anemia and hypertensive disorder of pregnancy may be important clinical comorbidities to target in order to reduce SMM overall as well as racial disparities in SMM.

Association of Health-Related Quality of Life with Overall Survival in Older Americans with Kidney Cancer: A Population-Based Cohort Study

Background: Our purpose was to evaluate associations between health-related quality of life (HRQoL) and overall survival (OS) in a population-based sample of kidney cancer (KC) patients in the US. Methods: We analyzed a longitudinal cohort (n = 188) using the Surveillance, Epidemiology, and End Results (SEER) database linked with the Medicare Health Outcomes Survey (MHOS; 1998–2014). We included KC patients aged ≥65 years, with a completed MHOS during baseline (pre-diagnosis) and another during follow-up (post-diagnosis). We reported HRQoL as physical component summary (PCS) and mental component summary (MCS) scores and OS as number of months from diagnosis to death/end-of-follow-up. Findings were reported as adjusted hazard ratios (aHRs (95% CI)) from Cox Proportional Hazard models. Results: The aHRs associated with a 3-point lower average (baseline and follow-up) or a 3-point within-patient decline (change) in HRQoL with OS were: (a) baseline: PCS (1.08 (1.01–1.16)) and MCS (1.09 (1.01–1.18)); (b) follow-up: PCS (1.21 (1.12–1.31)) and MCS (1.11 (1.04–1.19)); and (c) change: PCS (1.10 (1.02–1.18)) and MCS (1.02 (0.95–1.10)). Conclusions: Reduced HRQoL was associated with worse OS and this association was strongest for post-diagnosis PCS, followed by change in PCS and pre-diagnosis PCS. Findings highlight the prognostic value of HRQoL on OS, emphasize the importance of monitoring PCS in evaluating KC prognosis, and contribute additional evidence to support the implementation of patient-reported outcomes in clinical settings.

Labor market participation and productivity costs for female caregivers of minor male children with Duchenne and Becker muscular dystrophies

INTRODUCTION/AIMS

Duchenne and Becker muscular dystrophies (DBMD) are X-linked neuromuscular disorders characterized by progressive muscle weakness, leading to decreased mobility and multisystem complications. We estimate productivity costs attributable to time spent by a parent caring for a male child under the age of 18 y with DBMD, with particular focus on female caregivers of boys with Duchenne muscular dystrophy (DMD) who have already lost ambulation.

METHODS

Primary caregivers of males with DBMD in the Muscular Dystrophy Surveillance and Research Tracking Network (MD STARnet) were surveyed during 2011-2012 on family quality of life measures, including labor market outcomes. Of 211 respondents, 96 female caregivers of boys with DBMD were matched on state, year of survey, respondent's age, child's age, and number of minor children with controls constructed from Current Population Survey extracts. Regression analysis was used to estimate labor market outcomes and productivity costs.

RESULTS

Caregivers of boys with DBMD worked 296 h less per year on average than caregivers of unaffected children, translating to a $8816 earnings loss in 2020 U.S. dollars. Caregivers of boys with DMD with ≥4 y of ambulation loss had a predicted loss in annualized earnings of $23,995, whereas caregivers of boys with DBMD of the same ages who remained ambulatory had no loss of earnings.

DISCUSSION

Female caregivers of non-ambulatory boys with DMD face additional household budget constraints through income loss. Failure to include informal care costs in economic studies could understate the societal cost-effectiveness of strategies for managing DMD that might prolong ambulation.

Improving quality of life assessments for high-need adult Medicaid service users with mental health conditions

PURPOSE

There is a lack of consensus on how to evaluate health and social service programs for people with mental health (MH) conditions. Having service users be the primary decision makers in selecting outcome measures can inform a meaningful evaluation strategy. We sought to identify the quality of life (QoL) survey preferences of high-need adult service users with MH conditions.

METHODS

A systematic review identified generic, self-reported QoL surveys with evidence of validity in MH populations of interest. An advisory panel selected the most promising surveys to assess the success of programs like Medicaid for MH service users. Three groups of high-need, adult service users with MH conditions and one group of direct care staff ranked the surveys from the advisory panel, and generated and ranked characteristics that were desirable or undesirable in a QoL survey.

RESULTS

Twenty-two surveys met the inclusion criteria. Of the six surveys selected by the advisory panel, groups of service users and direct care staff most preferred the Warwick-Edinburg Mental Well-being Scale (WEMWBS). The WEMWBS best embodied the features prioritized by the groups: to have a user-friendly format and positive focus, to be clearly worded and brief, and to avoid presumptive or unrealistic items. Service user groups appreciated survey topics most amenable to self-report, such as satisfaction with relationships.

CONCLUSION

Using QoL surveys that service users prefer can reduce the chance that deteriorating QoL is going unchecked, and increase the chance that decisions based on survey findings are meaningful to service users.

Changes in health-related quality of life outcomes in older patients with kidney cancer: A longitudinal cohort analysis with matched controls

BACKGROUND

Current evidence regarding health-related quality of life (HRQoL) changes among patients with kidney cancer (KC) is limited. We characterized HRQoL changes from before (baseline) to after (follow-up) diagnosis of KC in older Americans relative to matched controls, and identified sociodemographic and clinical factors associated with HRQoL changes in older patients with KC.

MATERIALS AND METHODS

This longitudinal, population-based, retrospective cohort study used data from Surveillance, Epidemiology and End Results linked with Medicare Health Outcomes Survey, 1998-2013. Participants aged ≥65 years with baseline and follow-up survey data were identified. Those with primary KC (n = 186) were matched to adults without cancer (n = 558). HRQoL (physical component summary and mental component summary [MCS]) changes in KC patients were compared using generalized linear mixed-effects models to those of controls. Regression models were used to identify baseline factors associated with HRQoL changes.

RESULTS

The adjusted least squares mean (95% confidence interval) reduction in physical component summary from baseline to follow-up was greater in KC patients vs. controls (-4.1 [-5.6, -2.7] vs. -2.3 [-3.1, -1.4], P = 0.025). While the reduction in MCS was similar in both groups (-2.4 [-3.9, -0.8] vs. -1.5 [-2.4, -0.6], P = 0.338). Lower income and distant stage KC predicted greater declines in MCS among KC patients.

CONCLUSION

KC significantly affects overall general health in older patients, with sociodemographic factors and distant KC predicting greater reductions in HRQoL. Findings may help clinicians set patient expectations about their HRQoL post-diagnosis and increase clinician awareness of risk factors for HRQoL deterioration.

Financial Performance of Hospitals in the Appalachian Region Under the Hospital Readmissions Reduction Program and Hospital Value-Based Purchasing Program

PURPOSE

The Hospital Readmission and Reduction Program (HRRP) and Hospital Value-Based Purchasing Program (HVBP) propose to improve quality of patient care by either rewarding or penalizing hospitals through inpatient reimbursement. This study analyzes the effect of both programs on profitability of hospitals located in the Appalachian Region (AR) compared to hospitals in Appalachian states and the rest of the United States.

METHODS

This study used a retrospective research design with a longitudinal unbalanced panel dataset from 2008 to 2015. Hospitals participating in both HRRP and HVBP during this time frame were included in the study. A difference-in-difference model with hospital-level fixed effects, controlling for hospital and market characteristics, was used to determine effects of both programs on profitability of hospitals serving the AR, Appalachian states, and the rest of the United States.

FINDINGS

After implementation of HRRP and HVBP, only hospitals located in Appalachian states experienced a significant decrease in operating margin (-1.14 percentage points). Unexpectedly, during the same time period, total margin increased significantly for hospitals located in the AR (1.05 percentage points), Appalachian states (1.71 percentage points), and the rest of the United States (2.38 percentage points).

CONCLUSIONS

HRRP and HVBP financially incentivize hospitals to focus efforts on improving patient care. The programs may not have the anticipated results. Increases in total margin for all hospitals during the study period indicate access to nonpatient revenues, offsetting the financial penalties from both programs. This revenue source may undermine the program's objectives of delivering value and achieving quality outcomes.

Quality Performance of Rural and Urban Home Health Agencies: Implications for Rural Add-On Payment Policies

PURPOSE

To examine the differences in quality performance among agencies in urban areas and those in high utilization, low population density, and all other rural areas, defined in the Bipartisan Budget Act (BBA).

METHODS

We conducted a retrospective study using 2015 data: the Home Health Compare, the Home Health Agency Utilization and Payment Use, the Provider of Services, and the Area Health Resources Files, and a file with rural categories in BBA. The quality measures included (1) hospitalizations, (2) emergency visits, (3) patient experience, (4) composite scores for improvement in activities of daily living (ADL), (5) improvement in pain and treating symptoms, (6) preventing harm, and (7) treating wounds and preventing pressure sores. We applied weighted least squares regression.

FINDINGS

Among all quality measures, differences in emergency visits of the 3 rural categories from urban agencies were the largest. The adjusted mean emergency visit for urban agencies was 12.42%, with agencies in rural areas having 1.01-1.96 percentage points higher rates than urban agencies (95% CI: 0.72-1.29 for high utilization areas, 95% CI: 0.51-3.42 for low population areas, and 95% CI: 1.28-1.78 for all other areas).

CONCLUSIONS

The differences in the quality of care among agencies in 3 categories of rural areas were small, except for emergency visits. Given policies to reduce rural add-on payments for home health services, continued monitoring of the services provided and the quality of care by home health agencies in rural areas is recommended.

Reply to "Risk adjustment in Home Health Care CAHPS"

The authors of "CMS HCC Risk Scores and Home Health Patient Experience Measures" respond to a letter to the editor.

Association of State Medicaid Expansion Status With Low Birth Weight and Preterm Birth

IMPORTANCE

Low birth weight and preterm birth are associated with adverse consequences including increased risk of infant mortality and chronic health conditions. Black infants are more likely than white infants to be born prematurely, which has been associated with disparities in infant mortality and other chronic conditions.

OBJECTIVE

To evaluate whether Medicaid expansion was associated with changes in rates of low birth weight and preterm birth outcomes, both overall and by race/ethnicity.

DESIGN, SETTING, AND PARTICIPANTS

Using US population-based data from the National Center for Health Statistics Birth Data Files (2011-2016), difference-in-differences (DID) and difference-in-difference-in-differences (DDD) models were estimated using multivariable linear probability regressions to compare birth outcomes among infants in Medicaid expansion states relative to non-Medicaid expansion states and changes in relative disparities among racial/ethnic minorities for singleton live births to women aged 19 years and older.

EXPOSURES

State Medicaid expansion status and racial/ethnic category.

MAIN OUTCOMES AND MEASURES

Preterm birth (<37 weeks' gestation), very preterm birth (<32 weeks' gestation), low birth weight (<2500 g), and very low birth weight (<1500 g).

RESULTS

The final sample of 15 631 174 births (white infants: 8 244 924, black infants: 2 201 658, and Hispanic infants: 3 944 665) came from the District of Columbia and 18 states that expanded Medicaid (n = 8 530 751) and 17 states that did not (n = 7 100 423). In the DID analyses, there were no significant changes in preterm birth in expansion relative to nonexpansion states (preexpansion to postexpansion period, 6.80% to 6.67% [difference: -0.12] vs 7.86% to 7.78% [difference: -0.08]; adjusted DID: 0.00 percentage points [95% CI, -0.14 to 0.15], P = .98), very preterm birth (0.87% to 0.83% [difference: -0.04] vs 1.02% to 1.03% [difference: 0.01]; adjusted DID: -0.02 percentage points [95% CI, -0.05 to 0.02], P = .37), low birth weight (5.41% to 5.36% [difference: -0.05] vs 6.06% to 6.18% [difference: 0.11]; adjusted DID: -0.08 percentage points [95% CI, -0.20 to 0.04], P = .20), or very low birth weight (0.76% to 0.72% [difference: -0.03] vs 0.88% to 0.90% [difference: 0.02]; adjusted DID: -0.03 percentage points [95% CI, -0.06 to 0.01], P = .14). Disparities for black infants relative to white infants in Medicaid expansion states compared with nonexpansion states declined for all 4 outcomes, indicated by a negative DDD coefficient for preterm birth (-0.43 percentage points [95% CI, -0.84 to -0.02], P = .05), very preterm birth (-0.14 percentage points [95% CI, -0.26 to -0.02], P = .03), low birth weight (-0.53 percentage points [95% CI, -0.96 to -0.10], P = .02), and very low birth weight (-0.13 percentage points [95% CI, -0.25 to -0.01], P = .04). There were no changes in relative disparities for Hispanic infants.

CONCLUSIONS AND RELEVANCE

Based on data from 2011-2016, state Medicaid expansion was not significantly associated with differences in rates of low birth weight or preterm birth outcomes overall, although there were significant improvements in relative disparities for black infants compared with white infants in states that expanded Medicaid vs those that did not.

Measuring Health Spillover Effects in Caregivers of Children with Autism Spectrum Disorder: A Comparison of the EQ-5D-3L and SF-6D

BACKGROUND AND OBJECTIVE

Healthcare interventions that improve the health of children with autism spectrum disorder (ASD) have the potential to affect the health of caregivers. This study compares the three-level EuroQoL-5 Dimension (EQ-5D-3L) and the Short Form-6 Dimension (SF-6D) in their ability to value such spillover effects in caregivers.

METHODS

Clinical data collected from two Autism Treatment Network (ATN) sites was combined with survey data of caregivers of children diagnosed with ASD. Caregivers completed instruments by proxy describing child health and completed the EQ-5D-3L and SF-6D preference-weighted instruments to describe their own health.

RESULTS

There was a strong correlation between the health utility scores of the two preference-weighted instruments (ρ = 0.6172, p < 0.001) measuring caregiver health-related quality of life. There was a similar correlation between both the SF-6D and EQ-5D-3L scores with a previously validated care-related quality of life measure (Care-related Quality of Life instrument [CarerQol-7D]) (ρ = 0.569, p < 0.001 and ρ = 0.541, p < 0.001, respectively). The mean SF-6D scores for caregivers differed significantly in relation to four of the five child health or behavior measures whereas the EQ-5D-3L differed for only two of them.

CONCLUSIONS

Health utility values of caregivers for children with ASD vary by the health characteristics of the child, suggesting significant potential for spillover effects. The comparison of the EQ-5D-3L and SF-6D demonstrated that both instruments can be used to estimate spillover effects of interventions to improve child health, but the SF-6D exhibited greater sensitivity to child health among children with ASD.

Quantifying Family Spillover Effects in Economic Evaluations: Measurement and Valuation of Informal Care Time

Spillover effects on the welfare of family members may refer to caregiver health effects, informal care time costs, or both. This review focuses on methods that have been used to measure and value informal care time and makes suggestions for their appropriate use in cost-of-illness and cost-effectiveness analyses. It highlights the importance of methods to value informal care time that are independent of caregiver health effects in order to minimize double counting of spillover effects. Although the concept of including caregiver time costs in economic evaluations is not new, relatively few societal perspective cost-effectiveness analyses have included informal care, with the exception of dementia. This is due in part to challenges in measuring and valuing time costs. Analysts can collect information on time spent in informal care or can assess its impact in displacing other time use, notably time in paid employment. A key challenge is to ensure appropriate comparison groups that do not require informal care to be able to correctly estimate attributable informal care time or foregone market work. To value informal care time, analysts can use estimates of hourly earnings in either opportunity cost or replacement cost approaches. Researchers have used widely varying estimates of hourly earnings. Alternatively, stated-preference methods (i.e. contingent valuation, conjoint analysis) can be used to value the effect of informal care on utility, but this can entail double counting with health effects. Lack of consensus and standardization of methods makes it difficult to compare estimates of informal care costs.

CMS HCC risk scores and home health patient experience measures

OBJECTIVES

To understand the association between agency-level CMS Hierarchical Condition Categories (HCC) risk scores and patient experience measures for home health.

STUDY DESIGN

This was a cross-sectional study.

METHODS

We extracted variables from the 2014 Medicare Provider Utilization and Payment Data for Home Health Agencies and Home Health Compare file. We applied fixed-effects models for the analyses. Our dependent variables included both global and composite patient experience measures. The 2 global patient experience measures were the patient's overall rating of care provided by the agency (rating) and the patient's willingness to recommend the home health agency to others (recommendation). The 3 composite patient experience measures were how often the patient felt the provider gave care in a professional way (professional way), how well the home health team communicated with the patient (communication), and whether the home health team discussed medicines, pain, and home safety with the patient (discussion).

RESULTS

Increased agency-level CMS HCC risk scores were negatively associated with all patient experience measures: rating (-2.04; P ≤.001), recommendation (-2.75; P <.001), professional way (-1.56; P <.001), communication (-1.67; P <.001), and discussion (-1.69; P ≤.001). Several covariates, including the percentage of racial/ethnic minority beneficiaries, ownership of the agency, and number of tenured years with the Medicare program, were significantly associated with patient experience measures.

CONCLUSIONS

A negative association exists between CMS HCC risk scores and patient experience measures. To avoid unintended consequences, patient experience measures need further risk adjustment under the CMS 5-star patient survey rating system and the Home Health Value-Based Purchasing pilot program.

Understanding factors associated with readmission disparities among Delta region, Delta state, and other hospitals

OBJECTIVES

To understand the factors that potentially account for differences in 30-day readmission ratios for pneumonia, heart failure, and acute myocardial infarction (AMI) among hospitals in the Mississippi Delta region (Delta region), in Delta states excluding the hospitals in the Delta region (Delta state), and in the rest of the nation (other).

STUDY DESIGN

A longitudinal study design from 2013 to 2016.

METHODS

The dependent variables were 30-day readmission ratios for AMI, heart failure, and pneumonia. The key independent variables were 2 hospital categories (Delta region and Delta state), year dummies for 2014-2016, and the interactions among hospital categories and year dummies. We conducted 2 analyses for each study condition by estimating models with and without controls for hospital and community characteristics.

RESULTS

The coefficients for the interactions among year dummies and Delta region and Delta state hospitals were negative, indicating that Delta region and Delta state hospitals had higher reductions in readmissions than did other hospitals. After controlling for hospital and community characteristics, the disparities in readmissions for pneumonia and AMI in 2013 between Delta region and other hospitals were weakened (P >.05). Major teaching hospitals and percentage of black population were positively associated with readmissions for all study conditions (P values ranged from <.05 to <.001).

CONCLUSIONS

Disparities in 30-day readmissions for the study conditions among Delta region, Delta state, and other hospitals were reduced under the Hospital Readmissions Reduction Program (HRRP). However, community factors that are not currently used for adjustment in HRRP were associated with readmission ratios. Revisions of HRRP should consider including community characteristics in risk adjustment models.

Do Insurance Mandates Affect Racial Disparities in Outcomes for Children with Autism?

Objective The study investigated whether state mandates for private insurers to provide services for children with autism influence racial disparities in outcomes. Methods The study used 2005/2006 and 2009/2010 waves of the National Survey of Children with Special Health Care Needs. Children with a current diagnosis of autism were included in the sample. Children residing in 14 states and the District of Columbia that were not covered by the mandate in the 2005/2006 survey, but were covered in the 2009/2010 survey, served as the mandate group. Children residing in 32 states that were not covered by a mandate in either wave served as the comparison group. Outcome measures assessed included care quality, family economics, and child health. A difference-in-difference-in-differences (DDD) approach was used to assess the impact of the mandates on racial disparities in outcomes. Results Non-white children had less access to family-centered care compared to white children in both waves of data, but this difference was not apparent across mandate and comparison states as only the comparison states had significant differences. Parents of non-white children reported paying less in annual out-of-pocket expenses compared to parents of white children across waves and groups. DDD estimates did not provide evidence that the mandates had statistically significant effects on improving or worsening racial disparities for any outcome measure. Conclusions This study did not find evidence that state mandates on private insurers affected racial disparities in outcomes for children with autism.

Improved Health and Insurance Status Among Cigarette Smokers After Medicaid Expansion, 2011-2016

OBJECTIVES

The high concentration of smokers among subgroups targeted by the Affordable Care Act and the historically worse health and lower access to health care among smokers warrants an evaluation of how Medicaid expansion affects smokers. We evaluated the impact of Medicaid expansion on smoking behavior, access to health care, and health of low-income adults, and we compared outcomes of all low-income people with outcomes of low-income current smokers by states' Medicaid expansion status.

METHODS

We obtained data from the Behavioral Risk Factor Surveillance System (2011-2016) for low-income adults aged 18-64. We estimated multivariable linear ordinary least squares probability models using a quasi-experimental difference-in-difference approach to compare smoking behavior, access to health care, and health between people in expansion states and nonexpansion states and, specifically, on low-income adults and the subgroup of low-income current smokers.

RESULTS

Compared with low-income smokers in nonexpansion states, low-income smokers in expansion states were 7.6 percentage points (95% confidence interval [CI], 5.7-9.6; P < .001) more likely to have health insurance, 3.2 percentage points (95% CI, 1.3-5.2; P = .001) more likely to report good or better health, and 2.0 percentage points (95% CI, -3.9 to -0.1; P = .044) less likely to have cost-related barriers to care. Health and insurance gains among current smokers in expansion states were larger relative to health gains (1.6 percentage points; 95% CI, 0.5-2.7; P = .003) and insurance gains (4.6 percentage points; 95% CI, 3.5-5.8; P < .001) of all low-income adults in these states.

CONCLUSIONS

Greater improvements among low-income smokers in Medicaid expansion states compared with nonexpansion states could influence future smoking behaviors and warrant longer-term monitoring. Additionally, health and insurance gains among low-income smokers in expansion states suggest the potential for Medicaid expansion to improve health among smokers compared with nonsmokers.

Insurance coverage mandates: Impact of physician utilization in moderating colorectal cancer screening rates

Precision public health requires research that supports innovative systems and health delivery approaches, programs, and policies that are part of this vision. This study estimated the effects of health insurance mandate (HiM) variations and the effects of physician utilization on moderating colorectal cancer (CRC) screening rates. A time-series analysis using a difference-in-difference-in-differences (DDD) approach was conducted on CRC screenings (1997-2014) using a multivariate logistic framework. Key variables of interest were HiM, CRC screening status, and physician utilization. The adjusted average marginal effects from the DDD model indicate that physician utilization increased the probability of being "up-to-date" vs. non-compliance by 9.9% points (p = 0.007), suggesting that an estimated 8.85 million additional age-eligible persons would receive a CRC screening with HiM and routine physician visits. Routine physician visits and mandates that lower out-of-pocket expenses constitute an effective approach to increasing CRC screenings for persons ready to take advantage of such policies.

Parent-Reported Use of Interventions by Toddlers and Preschoolers With Autism Spectrum Disorder

OBJECTIVE

This study examined services used by young children with autism spectrum disorder (ASD) and factors associated with use.

METHODS

A retrospective observational study was conducted with baseline data for toddlers (under age three) and preschoolers (three to less than six years) with ASD enrolled in the Autism Speaks Autism Treatment Network registry from 2008 to 2013 (N=2,804). Parents' reports at enrollment of services received by children were documented. Factors associated with service use and with hours per week of services used were identified by multiple regression analyses.

RESULTS

At baseline, 79% of children had received at least one service; 28% had received behavioral services. In the sample, less than 30% of children who received at least one service spent more than ten hours per week in any service use. Children who received services were more likely to be of white race and to have had an ASD diagnosis prior to registry enrollment. Age, previous ASD diagnosis, maternal education, and child's IQ were significantly associated with the use of behavioral services; IQ was negatively associated with use. A consistent trend toward greater use of behavioral services was found over the study period. Factors associated with hours of any services used per week included age, gender, race, maternal education, and clinical characteristics. The predicted average weekly service hours for children with ASD across registry sites ranged from 3.1±1.0 to 9.5±2.1.

CONCLUSIONS

Service use varied according to child, family, and system characteristics. More efforts should be focused on early intervention and on children with ASD who have low socioeconomic status and cognitive disability.

Effectiveness of SmartMoms, a Novel eHealth Intervention for Management of Gestational Weight Gain: Randomized Controlled Pilot Trial

BACKGROUND

Two-thirds of pregnant women exceed gestational weight gain (GWG) recommendations. Because excess GWG is associated with adverse outcomes for mother and child, development of scalable and cost-effective approaches to deliver intensive lifestyle programs during pregnancy is urgent.

OBJECTIVE

The aim of this study was to decrease the proportion of women who exceed the Institute of Medicine (IOM) 2009 GWG guidelines.

METHODS

In a parallel-arm randomized controlled trial, 54 pregnant women (age 18-40 years) who were overweight (n=25) or obese (n=29) were enrolled to test whether an intensive lifestyle intervention (called SmartMoms) decreased the proportion of women with excess GWG, defined as exceeding the 2009 IOM guidelines, compared to no intervention (usual care group). The SmartMoms intervention was delivered through mobile phone (remote group) or in a traditional in-person, clinic-based setting (in-person group), and included a personalized dietary intake prescription, self-monitoring weight against a personalized weight graph, activity tracking with a pedometer, receipt of health information, and continuous personalized feedback from counselors.

RESULTS

A significantly smaller proportion of women exceeded the IOM 2009 GWG guidelines in the SmartMoms intervention groups (in-person: 56%, 10/18; remote: 58%, 11/19) compared to usual care (85%, 11/13; P=.02). The remote intervention was a lower cost to participants (mean US $97, SD $6 vs mean US $347, SD $40 per participant; P<.001) and clinics (US $215 vs US $419 per participant) and with increased intervention adherence (76.5% vs 60.8%; P=.049).

CONCLUSIONS

An intensive lifestyle intervention for GWG can be effectively delivered via a mobile phone, which is both cost-effective and scalable.

TRIAL REGISTRATION

Clinicaltrials.gov NCT01610752; https://clinicaltrials.gov/ct2/show/NCT01610752 (Archived by WebCite at http://www.webcitation.org/6sarNB4iW).

Comparison of Office-Based Versus Outsourced Immunization Recall Services

OBJECTIVE

Given poor use of recall in primary care practices, we compared outsourced versus office-based recall systems.

STUDY DESIGN

From 2011 to 2013, we enrolled 87 individual Arkansas providers in distinct practices treating their own patients <24 months of age which were randomized to usual care (A), office-based (B), or outsourced (C) recall groups.

RESULTS

At the end of study, recall activity was 19.4%, 55.0%, and 92.6% for Groups A, B, and C, respectively (B and C vs A: P < .001). Only 68 Group B patients were identified as needing immunizations versus 826 in Group C. The majority of successful contacts were made through mobile phone (41.3%) or text message (32.6%). The total cost per practice per week was significantly lower for Group C versus Group B ($39.50 and $53.00, respectively; P = .004).

CONCLUSIONS

With limited electronic health record use, an outsourced recall system is more sustainable and less costly than an office-based system.

Retrospective Assessment of Cost Savings From Prevention: Folic Acid Fortification and Spina Bifida in the U.S

INTRODUCTION

Although fortification of food with folic acid has been calculated to be cost saving in the U.S., updated estimates are needed. This analysis calculates new estimates from the societal perspective of net cost savings per year associated with mandatory folic acid fortification of enriched cereal grain products in the U.S. that was implemented during 1997-1998.

METHODS

Estimates of annual numbers of live-born spina bifida cases in 1995-1996 relative to 1999-2011 based on birth defects surveillance data were combined during 2015 with published estimates of the present value of lifetime direct costs updated in 2014 U.S. dollars for a live-born infant with spina bifida to estimate avoided direct costs and net cost savings.

RESULTS

The fortification mandate is estimated to have reduced the annual number of U.S. live-born spina bifida cases by 767, with a lower-bound estimate of 614. The present value of mean direct lifetime cost per infant with spina bifida is estimated to be $791,900, or $577,000 excluding caregiving costs. Using a best estimate of numbers of avoided live-born spina bifida cases, fortification is estimated to reduce the present value of total direct costs for each year's birth cohort by $603 million more than the cost of fortification. A lower-bound estimate of cost savings using conservative assumptions, including the upper-bound estimate of fortification cost, is $299 million.

CONCLUSIONS

The estimates of cost savings are larger than previously reported, even using conservative assumptions. The analysis can also inform assessments of folic acid fortification in other countries.

National Database for Autism Research (NDAR): Big Data Opportunities for Health Services Research and Health Technology Assessment

The National Database for Autism Research (NDAR) is a US National Institutes of Health (NIH)-funded research data repository created by integrating heterogeneous datasets through data sharing agreements between autism researchers and the NIH. To date, NDAR is considered the largest neuroscience and genomic data repository for autism research. In addition to biomedical data, NDAR contains a large collection of clinical and behavioral assessments and health outcomes from novel interventions. Importantly, NDAR has a global unique patient identifier that can be linked to aggregated individual-level data for hypothesis generation and testing, and for replicating research findings. As such, NDAR promotes collaboration and maximizes public investment in the original data collection. As screening and diagnostic technologies as well as interventions for children with autism are expensive, health services research (HSR) and health technology assessment (HTA) are needed to generate more evidence to facilitate implementation when warranted. This article describes NDAR and explains its value to health services researchers and decision scientists interested in autism and other mental health conditions. We provide a description of the scope and structure of NDAR and illustrate how data are likely to grow over time and become available for HSR and HTA.

Value-based insurance designs in the treatment of mental health disorders

OBJECTIVES

To explore the feasibility of applying value-based insurance designs (V-BIDs) to the treatment of mental health disorders and address any additional challenges posed.

STUDY DESIGN

Literature review.

METHODS

This study consisted of 3 steps. First, we reviewed the historical literature on V-BIDs and challenges revealed by various programs. Second, we reviewed the literature on the cost, scope, and various treatment options for mental health disorders. Third, we analyzed potential challenges in applying V-BIDs to mental health disorders.

RESULTS

Many challenges exist in applying V-BID to the management and treatment of physical and mental health disorders, such as getting buy-in from insurance companies and from large employers, and adherence issues for those with diminished capabilities to comprehend program benefits and those lacking family support. Additional challenges specific to mental health disorders include: a) privacy (ie, sensitivity issues) in implementing the program in certain settings; and b) sociodemographic variables, along with perceptions of mental disorder severity and need that currently affect the take-up of mental health services.

CONCLUSIONS

Research projects focused on applying V-BID to mental health disorders that address these challenges and demonstrate cost savings will be needed (ie, comparative effectiveness research studies), along with additional information on changes in disability-adjusted life-years, and on-demand responses across different mental health services, populations, and care settings.

Can The EQ-5D Detect Meaningful Change? A Systematic Review

BACKGROUND

The EQ-5D is one of the most frequently used, generic, preference-based instruments for measuring the health utilities of patients in economic evaluations. It is recommended for health technology assessment by the National Institute for Health and Clinical Excellence. Because the EQ-5D plays such an important role in economic evaluations, useful information on its responsiveness to detect meaningful change in health status is required.

OBJECTIVE

This study systematically reviewed and synthesized evidence on the responsiveness of the EQ-5D to detect meaningful change in health status for clinical research and economic evaluations.

METHODS

We searched the EuroQol website, PubMed, PsychINFO, and EconLit databases to identify studies published in English from the inception of the EQ-5D until August 15, 2014 using keywords that were related to responsiveness. Studies that used only the EQ-VAS were excluded from the final analysis. Narrative synthesis was conducted to summarize evidence on the responsiveness of the EQ-5D by conditions or physiological functions.

RESULTS

Of 1401 studies, 145 were included in the narrative synthesis and categorized into 19 categories for 56 conditions. The EQ-5D was found to be responsive in 25 conditions (45 %) with the magnitude of responsiveness varying from small to large depending on the condition. There was mixed evidence of responsiveness in 27 conditions (48 %). Only four conditions (7 %) (i.e., alcohol dependency, schizophrenia, limb reconstruction, and hearing impairment) were identified where the EQ-5D was not responsive.

CONCLUSION

The EQ-5D is an appropriate measure for economic evaluation and health technology assessment in conditions where it has demonstrated evidence of responsiveness. In conditions with mixed evidence of responsiveness, researchers should consider using the EQ-5D with other condition-specific measures to ensure appropriate estimates of effectiveness. These conditions should be a main focus for future research using the new EQ-5D version with five response levels.

Computer-assisted behavioral therapy and contingency management for cannabis use disorder

Computer-assisted behavioral treatments hold promise for enhancing access to and reducing costs of treatments for substance use disorders. This study assessed the efficacy of a computer-assisted version of an efficacious, multicomponent treatment for cannabis use disorders (CUD), that is, motivational enhancement therapy, cognitive-behavioral therapy, and abstinence-based contingency-management (MET/CBT/CM). An initial cost comparison was also performed. Seventy-five adult participants, 59% Black, seeking treatment for CUD received either, MET only (BRIEF), therapist-delivered MET/CBT/CM (THERAPIST), or computer-delivered MET/CBT/CM (COMPUTER). During treatment, the THERAPIST and COMPUTER conditions engendered longer durations of continuous cannabis abstinence than BRIEF (p < .05), but did not differ from each other. Abstinence rates and reduction in days of use over time were maintained in COMPUTER at least as well as in THERAPIST. COMPUTER averaged approximately $130 (p < .05) less per case than THERAPIST in therapist costs, which offset most of the costs of CM. Results add to promising findings that illustrate potential for computer-assisted delivery methods to enhance access to evidence-based care, reduce costs, and possibly improve outcomes. The observed maintenance effects and the cost findings require replication in larger clinical trials.

Impact of Economic Constraints on Public Health Delivery Systems Structures

OBJECTIVES

We estimated the effect of economic constraints on public health delivery systems (PHDS) density and centrality during 3 time periods, 1998, 2006, and 2012.

METHODS

We obtained data from the 1998, 2006, and 2012 National Longitudinal Study of Public Health Agencies; the 1993, 1997, 2005, and 2010 National Association for County and City Health Officials Profile Study; and the 1997, 2008, and 2011 Area Resource Files. We used multivariate regression models for panel data to estimate the impact of economic constraints on PHDS density and centrality.

RESULTS

Findings indicate that economic constraints did not have a significant impact on PHDS density and centrality over time but population is a significant predictor of PHDS density, and the presence of a board of health (BOH) is a significant predictor of PHDS density and centrality. Specifically, a 1% increase in population results in a significant 1.71% increase in PHDS density. The presence of a BOH is associated with a 10.2% increase in PHDS centrality, after controlling for other factors.

CONCLUSIONS

These findings suggest that other noneconomic factors influence PHDS density centrality.

Financial and employment impact of intellectual disability on families of children with autism

Families of children with autism spectrum disorder (ASD) endure significant financial and employment burden because of their children's numerous needed services. The study objective is to describe additional impact on families of children with intellectual disability (ID) in addition to ASD. The study is a secondary data analysis of the 2009-2010 National Survey of Children with Special Health Care Needs. Children whose parents answered "yes" when asked whether their child had ASD or ID were classified as having ASD alone (unweighted n = 2,406), ID alone (unweighted n = 1,363), or both ASD/ID (unweighted n = 620). Bivariate and multivariate analyses compared study outcomes of family financial and caregiver burden using ASD as the reference group. All analyses were weighted using person-level estimates. Of children with ASD, 24% also had ID. More than half of caregivers of children with ASD/ID reported financial difficulty (52%) and having to stop work to care for their child (51%). Compared with ASD alone, caregivers of children with both ASD/ID were more likely to report financial difficulty (aOR 1.65, 95% CI 1.10-2.46), cutting work hours (aOR 1.43, 95% CI .98-2.08), and stop working (aOR 2.32, 95% CI 1.57-3.43). No differences were found between caregivers of children with ASD only and ID only. We conclude that having ID in addition to ASD may be associated with greater negative impact on family financial and employment burden. Recognition of ID in addition to ASD is important to tailor the clinical approach and sufficiently support families.

Progress in measuring family spillover effects for economic evaluations

Despite considerable progress in measuring family spillover effects for economic evaluations, much work remains. This editorial describes recent advances in the field and identifies areas for future research. In particular, we point out the need to clarify the potential for double-counting from including spillover effects related to caregiver time and spillover effects related to family quality of life outcomes in Reference Case analyses. We believe that research on family spillover effects has the potential to increase interest in the field of economic evaluation and its use as a tool for decision making.

The WORD (Wholeness, Oneness, Righteousness, Deliverance): design of a randomized controlled trial testing the effectiveness of an evidence-based weight loss and maintenance intervention translated for a faith-based, rural, African American population using a community-based participatory approach

BACKGROUND

The positive effects of weight loss on obesity-related risk factors diminish unless weight loss is maintained. Yet little work has focused on the translation of evidence-based weight loss interventions with the aim of sustaining weight loss in underserved populations. Using a community-based participatory approach (CBPR) that engages the strong faith-based social infrastructure characteristic of rural African American communities is a promising way to sustain weight loss in African Americans, who bear a disproportionate burden of the obesity epidemic.

OBJECTIVES

Led by a collaborative community-academic partnership, The WORD aims to change dietary and physical activity behaviors to produce and maintain weight loss in rural, African American adults of faith.

DESIGN

The WORD is a randomized controlled trial with 450 participants nested within 30 churches. All churches will receive a 16-session core weight loss intervention. Half of the churches will be randomized to receive an additional 12-session maintenance component.

METHODS

The WORD is a cultural adaptation of the Diabetes Prevention Program, whereby small groups will be led by trained church members. Participants will be assessed at baseline, 6, 12, and 18 months. A detailed cost-effectiveness and process evaluation will be included.

SUMMARY

The WORD aims to sustain weight loss in rural African Americans. The utilization of a CBPR approach and the engagement of the faith-based social infrastructure of African American communities will maximize the intervention's sustainability. Unique aspects of this trial include the focus on weight loss maintenance and the use of a faith-based CBPR approach in translating evidence-based obesity interventions.

Caring for a child with autism spectrum disorder and parents' quality of life: application of the CarerQol

This study describes the impact of caregiving on parents of children with autism spectrum disorders (ASDs). Secondly, we investigate construct validation of the care-related quality of life instrument (CarerQol) measuring impact of caregiving. Primary caregivers of children with ASDs were included. Many parents experienced considerable problems combining daily activities with care, had financial problems or suffered from depressive mood. Validity tests showed that a higher impact of caring on the CarerQol was positively associated with higher subjective burden and lower family quality of life. Most of the associations between CarerQol scores and background characteristics confirmed previous research. The CarerQol validly measures the impact of caregiving for children with ASDs on caregivers in our sample. The CarerQol may therefore be useful for including parent outcomes in research on ASDs.

Predicting health utilities for children with autism spectrum disorders

Comparative effectiveness of interventions for children with autism spectrum disorders (ASDs) that incorporates costs is lacking due to the scarcity of information on health utility scores or preference-weighted outcomes typically used for calculating quality-adjusted life years (QALYs). This study created algorithms for mapping clinical and behavioral measures for children with ASDs to health utility scores. The algorithms could be useful for estimating the value of different interventions and treatments used in the care of children with ASDs. Participants were recruited from two Autism Treatment Network sites. Health utility data based on the Health Utilities Index Mark 3 (HUI3) for the child were obtained from the primary caregiver (proxy-reported) through a survey (N = 224). During the initial clinic visit, proxy-reported measures of the Child Behavior Checklist, Vineland II Adaptive Behavior Scales, and the Pediatric Quality of Life Inventory 4.0 (start measures) were obtained and then merged with the survey data. Nine mapping algorithms were developed using the HUI3 scores as dependent variables in ordinary least squares regressions along with the start measures, the Autism Diagnostic Observation Schedule, to measure severity, child age, and cognitive ability as independent predictors. In-sample cross-validation was conducted to evaluate predictive accuracy. Multiple imputation techniques were used for missing data. The average age for children with ASDs in this study was 8.4 (standard deviation = 3.5) years. Almost half of the children (47%) had cognitive impairment (IQ ≤ 70). Total scores for all of the outcome measures were significantly associated with the HUI3 score. The algorithms can be applied to clinical studies containing start measures of children with ASDs to predict QALYs gained from interventions.

Autism spectrum disorders: a review of measures for clinical, health services and cost-effectiveness applications

Autism spectrum disorders (ASDs) are characterized by impairments in social interaction, communication and behavioral functioning that can affect the health-related quality-of-life outcomes of the affected child and the family. ASDs have increased in prevalence, leading to a demand for improved understanding of the comparative effectiveness of different pharmacologic, behavioral, medical and alternative treatments for children as well as systems for providing services. This review describes outcome instruments that can be used for clinical, health services and cost-effectiveness applications. There is a pressing need to identify the most appropriate instruments for measuring health-related quality-of-life outcomes in this population. Studies evaluating the cost-effectiveness of interventions or treatments for children with ASDs using the cost per quality-adjusted life year metric are lacking. Researchers have the potential to contribute greatly to the field of autism by quantifying outcomes that can inform optimal treatment strategies.

Preference-based health-related quality-of-life outcomes in children with autism spectrum disorders: a comparison of generic instruments

BACKGROUND

Cost-effectiveness analysis of pharmaceutical and other treatments for children with autism spectrum disorders (ASDs) has the potential to improve access to services by demonstrating the value of treatment to public and private payers, but methods for measuring QALYs in children are under-studied. No cost-effectiveness analyses have been undertaken in this population using the cost-per-QALY metric.

OBJECTIVE

This study describes health-related quality-of-life (HR-QOL) outcomes in children with ASDs and compares the sensitivity of two generic preference-based instruments relative to ASD-related conditions and symptoms.

METHODS

The study design was cross-sectional with prospectively collected outcome data that were correlated with retrospectively assessed clinical information. Subjects were recruited from two sites of the Autism Treatment Network (ATN) in the US: a developmental centre in Little Rock, Arkansas, and an outpatient psychiatric clinic at Columbia University Medical Center in New York. Children that met Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for an ASD by a multidisciplinary team evaluation were asked to participate in a clinical registry. Families of children with an ASD that agreed to be contacted about participation in future research studies as part of the ATN formed the sampling frame for the study. Families were included if the child with the ASD was between 4 and 17 years of age and the family caregiver spoke English. Eligible families were contacted by mail to see if they would be interested in participating in the study with 150 completing surveys. HR-QOL outcomes were described using the Health Utilities Index (HUI) 3 and the Quality of Well-Being Self-Administered (QWB-SA) scale obtained by proxy via the family caregiver.

RESULTS

Children were diagnosed as having autistic disorder (76%), pervasive developmental disorder-not otherwise specified [PDD-NOS] (15%), and Asperger's disorder (9%). Average HUI3 and QWB-SA scores were 0.68 (SD 0.21, range 0.07-1) and 0.59 (SD 0.16, range 0.18-1), respectively. The HUI3 score was significantly correlated with clinical variables including adaptive behaviour (ρ = 0.52; p < 0.001) and cognitive functioning (ρ = 0.36; p < 0.001). The QWB-SA score had weak correlation with adaptive behaviour (ρ = 0.25; p < 0.001) and cognitive functioning (ρ = 0.17; p < 0.005). Change scores for the HUI3 were larger than the QWB-SA for all clinical measures. Scores for the HUI3 increased 0.21 points (95% CI 0.14, 0.29) across the first to the third quartile of the cognitive functioning measure compared with 0.05 (95% CI -0.01, 0.11) for the QWB-SA. Adjusted R2 values also were higher for the HUI3 compared with the QWB-SA across all clinical measures.

CONCLUSIONS

The HUI3 was more sensitive to clinical measures used to characterize children with autism compared with the QWB-SA score. The findings provide a benchmark to compare scores obtained by alternative methods and instruments. Researchers should consider incorporating the HUI3 in clinical trials and other longitudinal research studies to build the evidence base for describing the cost effectiveness of services provided to this important population.

Comparing behavioral weight loss modalities: incremental cost-effectiveness of an internet-based versus an in-person condition

The objective of this study was to assess the costs associated with a group behavioral weight loss intervention and compare cost-effectiveness based on treatment delivery modality (in-person vs. Internet). A randomized controlled trial examined efficacy of a group behavioral obesity intervention across in-person and Internet treatment modalities. Participants (N = 323, 93% women, mean BMI = 35.8) from two centers were randomized to treatment modality, and contact time was matched between conditions. Primary outcome was weight loss. Cost-effectiveness measures calculated life years gained (LYG) from changes in weight at 6 months, based on excess years of life lost (YLL) algorithm and the cost of the two modalities. In-person participants had significantly greater weight losses (-8.0 ± 6.1 kg) than Internet participants (-5.5 ± 5.6 kg), whereas differences in LYG were insignificant. Estimated LYG was 0.58 (95% confidence interval: 0.45, 0.71) and 0.47 (95% confidence interval: 0.34, 0.60) for the in-person and Internet condition, respectively. Total cost of conducting the in-person condition was $706 per person and the Internet condition was $372 per person with the difference mainly due to increased travel cost of $158 per person. The incremental cost-effectiveness ratio was $2,160 per (discounted) LYG for the Internet modality relative to no intervention/no weight loss and $7,177 per (discounted) LYG for the in-person modality relative to the Internet modality. Participant time costs are recognized as an important cost of medical and behavioral interventions. When participant time costs are included in an economic evaluation of a behavioral weight loss intervention, Internet-based weight loss delivery may be a more cost-effective approach to obesity treatment.

Measuring health and well-being effects in family caregivers of children with craniofacial malformations

PURPOSE

This research explores the sensitivity of three generic instruments for preference-weighting health states of family caregivers of children with craniofacial malformations (CFM). We also examine the construct validity of the new CarerQol instrument measuring caregiver burden and general quality of life.

METHODS

Caregivers of children born with CFM were identified through the Arkansas Reproductive Health Monitoring System. A mailed survey included the HUI3, the SF-6D, the QWB-SA to measure health-related quality of life; the CES-D measuring depressive symptoms as well as the SRB scale, and the CarerQol. The HUI3, the SF-6D, and the QWB-SA were examined in relation to the CES-D the SRB, the CarerQol, and each other.

RESULTS

A total of 65 (63%) parents of children (≤17 years) responded. The mean SF-6D, HUI3, and QWB-SA scores were 0.81 (SD = 0.13), 0.84 (SD = 0.23), and 0.67 (SD = 0.14), respectively. The mean CES-D score was 13.3 (SD = 13.4) and 28.6% of the sample met a threshold for depressive symptoms (CES-D ≥ 16). The mean CarerQol-VAS and SRB scores were 7.5 (SD = 2.3) and 15.1 (SD = 23.5), respectively. The Spearman correlations (ρ) of the HUI3 and the SF-6D with the CES-D were similar (-0.81 and -0.76) while the ρ was lower (-0.57) for the QWB-SA. Preference-weighted scores of caregivers with CES-D scores ≥ 16 differed significantly for both the SF-6D and the HUI3, but not the QWB-SA. All three generic instruments showed moderate to strong relationships with the CarerQol.

CONCLUSIONS

The HUI3 and SF-6D were more sensitive predictors of depressive symptoms in this caregiver sample than was the QWB-SA. The CarerQol showed good construct validity and may be useful for measuring well-being effects associated with caregiving.