Cost-related Medication Nonadherence and Its Risk Factors Among Medicare Beneficiaries.

BACKGROUND: Unaffordability of medications is a barrier to effective treatment. Cost-related nonadherence (CRN) is a crucial, widely used measure of medications access. OBJECTIVES: Our study examines the current national prevalence of and risk factors for CRN (eg, not filling, skipping or reducing doses) and companion measures in the US Medicare population. RESEARCH DESIGN: Survey-weighted analyses included logistic regression and trends 2006-2016. SUBJECTS: Main analyses used the 2016 Medicare Current Beneficiary Survey. Our study sample of 12,625 represented 56 million community-dwelling beneficiaries. MEASURES: Additional outcome measures were spending less on other necessities in order to pay for medicines and use of drug cost reduction strategies such as requesting generics. RESULTS: In 2016, 34.5% of enrollees under 65 years with disability and 14.4% of those 65 years and older did not take their medications as prescribed due to high costs; 19.4% and 4.7%, respectively, experienced going without other essentials to pay for medicines. Near-poor older beneficiaries with incomes $15-25K had 50% higher odds of CRN (vs. >$50K), but beneficiaries with incomes <$15K, more likely to be eligible for the Part D Low-Income Subsidy, did not have significantly higher risk. Three indicators of worse health (general health status, functional limits, and count of conditions) were all independently associated with higher risk of CRN. CONCLUSIONS: Changes in the risk profile for CRN since Part D reflect the effectiveness of targeted policies. The persistent prevalence of CRN and associated risks for sicker people in Medicare demonstrate the consequences of high cost-sharing for prescription fills.

Reduced Cost-sharing for Preventive Drugs Preferentially Benefits Low-income Patients With Diabetes in High Deductible Health Plans With Health Savings Accounts.

BACKGROUND: High deductible health plans linked to Health Savings Accounts (HSA-HDHPs) must include all care under the deductible except for select preventive services. Some employers and insurers have adopted Preventive Drug Lists (PDLs) that exempt specific classes of medications from deductibles. OBJECTIVE: The objective of this study was to examine the association between shifts to PDL coverage and medication utilization among patients with diabetes in HSA-HDHPs. RESEARCH DESIGN: A natural experiment comparing pre-post changes in monthly and annual outcomes in matched study groups. SUBJECTS: The intervention group included 1744 commercially-insured HSA-HDHP patients with diabetes age 12-64 years switched by employers to PDL coverage; the control group included 3349 propensity-matched HSA-HDHP patients whose employers offered no PDL. MEASURES: Outcomes were out-of-pocket (OOP) costs for medications and the number of pharmacy fills converted to 30-day equivalents. RESULTS: Transition to the PDL was associated with a relative pre-post decrease of $612 (-35%, P<0.001) per member OOP medication expenditures; OOP reductions were higher for key classes of antidiabetic and cardiovascular medicines listed on the PDL; the policy did not affect unlisted classes. The PDL group experienced relative increases in medication use of 6.0 30-day fills per person during the year (+11.2%, P<0.001); the increase was more than twice as large for lower-income (+6.6 fills, +12.6%, P<0.001) than higher-income (+3.0 fills, +5.1%, P=0.024) patients. CONCLUSION: Transition to a PDL which covers important classes of medication to manage diabetes and cardiovascular conditions is associated with substantial annual OOP cost savings for patients with diabetes and increased utilization of important classes of medications, especially for lower-income patients.

Counter-Point: Early Warning Systems Are Imperfect, but Essential.

Sequential analysis can be used as an early warning system about potential unintended consequences of health policy decisions, generating follow-up investigations, but it should not be used as causal evidence.

Counter-Point: Staying Honest When Policy Changes Backfire.

Despite the good intentions of the Food and Drug Administration (FDA), many drug warnings are ineffective or have unintended consequences, particularly if the media exaggerates the messages and scares the public. The controversial 2003 to 2004 FDA warnings on youth suicidality associated with antidepressant use are a case in point. In a 10-year interrupted time series (ITS) analysis in 11 health plans, we found that the warnings and hyped media coverage led to substantial reductions in antidepressant use (declines in antidepressant use and overall care corroborated in several studies), and small, visible increases in emergency room and inpatient poisonings with psychotropic drugs. In a gross misunderstanding of the method, Dr Stone calls ITS, "an intuition based upon false analogies, fallacious assumptions and analytical error." We demonstrate visually using published studies that the ITS method is one of the oldest (hundreds of years) and strongest quasi-experimental study designs, and that the alternative data analyses proposed by Dr Stone do not have rates (denominators), nor baselines, so the measures of change are invalid.

Near Real-time Surveillance for Consequences of Health Policies Using Sequential Analysis.

BACKGROUND: New health policies may have intended and unintended consequences. Active surveillance of population-level data may provide initial signals of policy effects for further rigorous evaluation soon after policy implementation. OBJECTIVE: This study evaluated the utility of sequential analysis for prospectively assessing signals of health policy impacts. As a policy example, we studied the consequences of the widely publicized Food and Drug Administration's warnings cautioning that antidepressant use could increase suicidal risk in youth. METHOD: This was a retrospective, longitudinal study, modeling prospective surveillance, using the maximized sequential probability ratio test. We used historical data (2000-2010) from 11 health systems in the US Mental Health Research Network. The study cohort included adolescents (ages 10-17 y) and young adults (ages 18-29 y), who were targeted by the warnings, and adults (ages 30-64 y) as a comparison group. Outcome measures were observed and expected events of 2 possible unintended policy outcomes: psychotropic drug poisonings (as a proxy for suicide attempts) and completed suicides. RESULTS: We detected statistically significant (P<0.05) signals of excess risk for suicidal behavior in adolescents and young adults within 5-7 quarters of the warnings. The excess risk in psychotropic drug poisonings was consistent with results from a previous, more rigorous interrupted time series analysis but use of the maximized sequential probability ratio test method allows timely detection. While we also detected signals of increased risk of completed suicide in these younger age groups, on its own it should not be taken as conclusive evidence that the policy caused the signal. A statistical signal indicates the need for further scrutiny using rigorous quasi-experimental studies to investigate the possibility of a cause-and-effect relationship. CONCLUSIONS: This was a proof-of-concept study. Prospective, periodic evaluation of administrative health care data using sequential analysis can provide timely population-based signals of effects of health policies. This method may be useful to use as new policies are introduced.

False Dichotomies and Health Policy Research Designs: Randomized Trials Are Not Always the Answer.

Some medical scientists argue that only data from randomized controlled trials (RCTs) are trustworthy. They claim data from natural experiments and administrative data sets are always spurious and cannot be used to evaluate health policies and other population-wide phenomena in the real world. While many acknowledge biases caused by poor study designs, in this article we argue that several valid designs using administrative data can produce strong findings, particularly the interrupted time series (ITS) design. Many policy studies neither permit nor require an RCT for cause-and-effect inference. Framing our arguments using Campbell and Stanley's classic research design monograph, we show that several "quasi-experimental" designs, especially interrupted time series (ITS), can estimate valid effects (or non-effects) of health interventions and policies as diverse as public insurance coverage, speed limits, hospital safety programs, drug abuse regulation and withdrawal of drugs from the market. We further note the recent rapid uptake of ITS and argue for expanded training in quasi-experimental designs in medical and graduate schools and in post-doctoral curricula.

Effects of Transitioning to Medicare Part D on Access to Drugs for Medical Conditions among Dual Enrollees with Cancer.

OBJECTIVES: To evaluate the impact of transitioning from Medicaid to Medicare Part D drug coverage on the use of noncancer treatments among dual enrollees with cancer. METHODS: We leveraged a representative 5% national sample of all fee-for-service dual enrollees in the United States (2004-2007) to evaluate the impact of the removal of caps on the number of reimbursable prescriptions per month (drug caps) under Part D on 1) prevalence and 2) average days' supply dispensed for antidepressants, antihypertensives, and lipid-lowering agents overall and by race (white and black). RESULTS: The removal of drug caps was associated with increased use of lipid-lowering medications (days' supply 3.63; 95% confidence interval [CI] 1.57-5.70). Among blacks in capped states, we observed increased use of lipid-lowering therapy (any use 0.08 percentage points; 95% CI 0.05-0.10; and days' supply 4.01; 95% CI 2.92-5.09) and antidepressants (days' supply 2.20; 95% CI 0.61-3.78) and increasing trends in antihypertensive use (any use 0.01 percentage points; 95% CI 0.004-0.01; and days' supply 1.83; 95% CI 1.25-2.41). The white-black gap in the use of lipid-lowering medications was immediately reduced (-0.09 percentage points; 95% CI -0.15 to -0.04). We also observed a reversal in trends toward widening white-black differences in antihypertensive use (level -0.08 percentage points; 95% CI -0.12 to -0.05; and trend -0.01 percentage points; 95% CI -0.02 to -0.01) and antidepressant use (-0.004 percentage points; 95% CI -0.01 to -0.0004). CONCLUSIONS: Our findings suggest that the removal of drug caps under Part D had a modest impact on the treatment of hypercholesterolemia overall and may have reduced white-black gaps in the use of lipid-lowering and antidepressant therapies.

The Effects of the Transition From Medicaid to Medicare on Health Care Use for Adults With Mental Illness.

BACKGROUND: The transition from Medicaid-only to dual Medicare/Medicaid coverage has the potential to reduce financial barriers to health care for patients with serious mental illness through increased coverage or expanded access to clinicians as their reimbursement increases. AIMS: To estimate the effect of dual coverage after Medicaid enrollment during the required waiting period among adults with serious mental illness on health care use, overall and related to mental health and substance use disorders (MHSUD). METHODS: Data include enrollment and claims from Medicaid and Medicare in Missouri and South Carolina, from January 2004 to December 2007. We used an interrupted time-series design to estimate the effect of dual coverage on average use of outpatient, emergency department (ED), and inpatient care/month. RESULTS: After 12 months of dual coverage, the probability of outpatient care use increased in both states from 4% to 9%. In Missouri, the mean probability and frequency of ED visits, total and MHSUD related, increased by 21%-32%; the probability of all-cause and MHSUD-related inpatient admissions increased by 10% and 19%, respectively. In South Carolina, the mean probability of any inpatient admission increased by 27% and of any MHSUD-related inpatient admission by 42%. DISCUSSION: The increase in use of outpatient care is consistent with the expected increase in coverage of, and payment for, outpatient services under dual coverage relative to Medicaid-only. Sustained increases in ED and inpatient admissions raise questions regarding the complexity of obtaining care under 2 programs, pent-up demand among beneficiaries pretransition, and the complementarity of outpatient and inpatient service use.

Did Medicare Part D Affect National Trends in Health Outcomes or Hospitalizations? A Time-Series Analysis.

BACKGROUND: Medicare Part D increased economic access to medications, but its effect on population-level health outcomes and use of other medical services remains unclear. OBJECTIVE: To examine changes in health outcomes and medical services in the Medicare population after implementation of Part D. DESIGN: Population-level longitudinal time-series analysis with generalized linear models. SETTING: Community. PATIENTS: Nationally representative sample of Medicare beneficiaries (n = 56,293 [unweighted and unique]) from 2000 to 2010. MEASUREMENTS: Changes in self-reported health status, limitations in activities of daily living (ADLs) (ADLs and instrumental ADLs), emergency department visits and hospital admissions (prevalence, counts, and spending), and mortality. Medicare claims data were used for confirmatory analyses. RESULTS: Five years after Part D implementation, no clinically or statistically significant reductions in the prevalence of fair or poor health status or limitations in ADLs or instrumental ADLs, relative to historical trends, were detected. Compared with trends before Part D, no changes in emergency department visits, hospital admissions or days, inpatient costs, or mortality after Part D were seen. Confirmatory analyses were consistent. LIMITATIONS: Only total population-level outcomes were studied. Self-reported measures may lack sensitivity. CONCLUSION: Five years after implementation, and contrary to previous reports, no evidence was found of Part D's effect on a range of population-level health indicators among Medicare enrollees. Further, there was no clear evidence of gains in medical care efficiencies.

Effect of nonpayment for preventable infections in U.S. hospitals.

BACKGROUND: In October 2008, the Centers for Medicare and Medicaid Services (CMS) discontinued additional payments for certain hospital-acquired conditions that were deemed preventable. The effect of this policy on rates of health care-associated infections is unknown. METHODS: Using a quasi-experimental design with interrupted time series with comparison series, we examined changes in trends of two health care-associated infections that were targeted by the CMS policy (central catheter-associated bloodstream infections and catheter-associated urinary tract infections) as compared with an outcome that was not targeted by the policy (ventilator-associated pneumonia). Hospitals participating in the National Healthcare Safety Network and reporting data on at least one health care-associated infection before the onset of the policy were eligible to participate. Data from January 2006 through March 2011 were included. We used regression models to measure the effect of the policy on changes in infection rates, adjusting for baseline trends. RESULTS: A total of 398 hospitals or health systems contributed 14,817 to 28,339 hospital unit-months, depending on the type of infection. We observed decreasing secular trends for both targeted and nontargeted infections long before the policy was implemented. There were no significant changes in quarterly rates of central catheter-associated bloodstream infections (incidence-rate ratio in the postimplementation vs. preimplementation period, 1.00; P=0.97), catheter-associated urinary tract infections (incidence-rate ratio, 1.03; P=0.08), or ventilator-associated pneumonia (incidence-rate ratio, 0.99; P=0.52) after the policy implementation. Our findings did not differ for hospitals in states without mandatory reporting, nor did it differ according to the quartile of percentage of Medicare admissions or hospital size, type of ownership, or teaching status. CONCLUSIONS: We found no evidence that the 2008 CMS policy to reduce payments for central catheter-associated bloodstream infections and catheter-associated urinary tract infections had any measurable effect on infection rates in U.S. hospitals. (Funded by the Agency for Healthcare Research and Quality.).

Potential bias of instrumental variable analyses for observational comparative effectiveness research.

Instrumental variable analysis is an increasingly popular method in comparative effectiveness research (CER). In theory, the instrument controls for unobserved and observed patient characteristics that affect the outcome. However, the results of instrumental variable analyses in observational settings may be biased if the instrument and outcome are related through an unadjusted third variable: an "instrument-outcome confounder." The authors identified published CER studies that used instrumental variable analysis and searched the literature for potential confounders of the most common instrument-outcome pairs. Of the 187 studies identified, 114 used 1 or more of the 4 most common instrument categories: distance to facility, regional variation, facility variation, and physician variation. Of these, 65 used mortality as an outcome. Potential unadjusted instrument-outcome confounders were observed in all studies, including patient race, socioeconomic status, clinical risk factors, health status, and urban or rural residency; facility and procedure volume; and co-occurring treatments. Only 4 (6%) instrumental variable CER studies considered potential instrument-outcome confounders outside the study data. Many effect estimates may be biased by the failure to adjust for instrument-outcome confounding. The authors caution against overreliance on instrumental variable studies for CER.

Impact of a high-deductible health plan on outpatient visits and associated diagnostic tests.

BACKGROUND: By shifting a greater share of out-of-pocket medical costs to consumers, high-deductible health plans (HDHP) might discourage use of essential outpatient services. OBJECTIVE: The objective of the study was to examine the impact of an HDHP on outpatient visits and associated laboratory and radiology tests. RESEARCH DESIGN/SUBJECTS: We used a pre-post with comparison group study design to examine the differential change in outpatient service utilization among 7953 adults who were switched from a traditional Health Maintenance Organization plan to an HDHP compared with 7953 adults remaining in traditional plans. HDHP members had full coverage of preventive laboratory tests and modest copayments for outpatient visits, similar to controls, but faced full cost sharing under the deductible for radiology tests and laboratory tests not classified as preventive. RESULTS: Compared with controls, the HDHP group experienced moderate relative decreases in overall office visits (incidence rate ratios = 0.91, or a 9% relative reduction; 95% confidence interval: 0.88, 0.94) and visits for higher-priority (0.91; 0.85, 0.97) and lower-priority (0.89; 0.81, 0.99) chronic conditions. There were no significant differences in changes in visit rates for acute higher-priority or lower-priority conditions (both 0.93; 0.86, 1.01) or preventive laboratory tests (0.97; 0.93, 1.02). HDHP members showed moderate relative reductions in the use of general laboratory tests (0.91; 0.86, 0.97) but not radiology tests (0.97; 0.91, 1.03). CONCLUSIONS: Chronic outpatient visits declined among HDHP members, although preventive laboratory tests and acute visits remained unchanged. HDHP patients with chronic illnesses who have more contact with the health care system might be more likely to reduce utilization because of increased exposure to costs associated with ambulatory visits.

Persistent medication affordability problems among disabled Medicare beneficiaries after Part D, 2006-2011.

BACKGROUND: Disabled Americans who qualify for Medicare coverage typically have multiple chronic conditions, are highly dependent on effective drug therapy, and have limited financial resources, putting them at risk for cost-related medication nonadherence (CRN). Since 2006, the Part D benefit has helped Medicare beneficiaries afford medications. OBJECTIVE: To investigate recent national trends in medication affordability among this vulnerable population, stratified by morbidity burden. DESIGN AND SUBJECTS: We estimated annual rates of medication affordability among nonelderly disabled participants in a nationally representative survey (2006-2011, n=14,091 person-years) using multivariate logistic regression analyses. MEASURE: Survey-reported CRN and spending less on other basic needs to afford medicines. RESULTS: In the 6 years following Part D implementation, the proportion of disabled Medicare beneficiaries reporting CRN ranged from 31.6% to 35.6%, while the reported prevalence of spending less on other basic needs to afford medicines ranged from 17.7% to 21.8%. Across study years, those with multiple chronic conditions had consistently worse affordability problems. In 2011, the prevalence of CRN was 37.3% among disabled beneficiaries with ≥ 3 morbidities as compared with 28.1% among those with fewer morbidities; for spending less on basic needs, the prevalence was 25.4% versus 15.7%, respectively. There were no statistically detectable changes in either measure when comparing 2011 with 2007. CONCLUSIONS: Disabled Medicare beneficiaries continue to struggle to afford prescription medications. There is an urgent need for focused policy attention on this vulnerable population, which has inadequate financial access to drug treatments, despite having drug coverage under Medicare Part D.

Changes in use of lipid-lowering medications among black and white dual enrollees with diabetes transitioning from Medicaid to Medicare Part D drug coverage.

BACKGROUND: The use of lipid-lowering agents is suboptimal among dual enrollees, particularly blacks. OBJECTIVES: To determine whether the removal of restrictive drug caps under Medicare Part D reduced racial differences among dual enrollees with diabetes. RESEARCH DESIGN: An interrupted time series with comparison series design (ITS) cohort study. SUBJECTS: A total of 8895 black and white diabetes patients aged 18 years and older drawn from a nationally representative sample of fee-for-service dual enrollees (January 2004-December 2007) in states with and without drug caps before Part D. MEASURES: We examined the monthly (1) proportion of patients with any use of lipid-lowering therapies; and (2) intensity of use. Stratification measures included age (less than 65, 65 y and older), race (white vs. black), and sex. RESULTS: At baseline, lipid-lowering drug use was higher in no drug cap states (drug cap: 54.0% vs. nondrug cap: 66.8%) and among whites versus blacks (drug cap: 58.5% vs. 44.9%, no drug cap: 68.4% vs. 61.9%). In strict drug cap states only, Part D was associated with an increase in the proportion with any use [nonelderly: +0.07 absolute percentage points (95% confidence interval, 0.06-0.09), P<0.001; elderly: +0.08 (0.06-0.10), P<0.001] regardless of race. However, we found no evidence of a change in the white-black gap in the proportion of users despite the removal of a significant financial barrier. CONCLUSIONS: Medicare Part D was associated with increased use of lipid-lowering drugs, but racial gaps persisted. Understanding non-coverage-related barriers is critical in maximizing the potential benefits of coverage expansions for disparities reduction.

The relationship between emergency department use and cost-related medication nonadherence among Medicare beneficiaries.

STUDY OBJECTIVE: The objective of this study was to evaluate the relationship between self-reported cost-related nonadherence to prescription medications and emergency department (ED) utilization among Medicare beneficiaries. We hypothesized that persons who report cost-related medication nonadherence would have subsequent higher ED use. METHODS: We conducted a retrospective cohort study of continuously enrolled Medicare beneficiaries in 2006 and 2007. We used multivariate logistic regression to evaluate the relationship between ED use and cost-related medication nonadherence. Our principal dependent variable was any ED visit within a 364-day period after an interview assessing cost-related medication nonadherence. Our principal independent variables both denoted cost-related medication nonadherence: mild cost-related medication nonadherence, defined as a reduction in dose or a delay in filling medications because of cost; and severe cost-related medication nonadherence, defined as not filling a medication at all because of cost. RESULTS: Our sample consisted of 7,177 Medicare Current Beneficiary Survey respondents. Approximately 7.5% of respondents reported mild cost-related medication nonadherence only (n=541) and another 8.2% reported severe cost-related medication nonadherence (n=581). Disabled Medicare beneficiaries with severe cost-related medication nonadherence were more likely to have at least 1 ED visit (1.53; 95% confidence interval 1.03 to 2.26) compared with both disabled Medicare beneficiaries without cost-related medication nonadherence and elderly Medicare beneficiaries in all cost-related medication nonadherence categories. CONCLUSION: Our results show an association between severe cost-related medication nonadherence and ED use. Disabled beneficiaries younger than 65 years who report severe cost-related medication nonadherence were more likely to have at least 1 ED visit, even when adjusting for other factors that affect utilization.

Health care payments in the Asia Pacific: validation of five survey measures of economic burden.

INTRODUCTION: Many low and middle-income countries rely on out-of-pocket payments to help finance health care. These payments can pose financial hardships for households; valid measurement of this type of economic burden is therefore critical. This study examines the validity of five survey measures of economic burden caused by health care payments. METHODS: We analyzed 2002/03 World Health Survey household-level data from four Asia Pacific countries to assess the construct validity of five measures of economic burden due to health care payments: any health expenditure, health expenditure amount, catastrophic health expenditure, indebtedness, and impoverishment. We used generalized linear models to assess the correlations between these measures and other constructs with which they have expected associations, such as health care need, wealth, and risk protection. RESULTS: Measures of impoverishment and indebtedness most often correlated with health care need, wealth, and risk protection as expected. Having any health expenditure, a large health expenditure, or even a catastrophic health expenditure did not consistently predict degree of economic burden. CONCLUSIONS: Studies that examine economic burden attributable to health care payments should include measures of impoverishment and indebtedness.

A critical review of methods to evaluate the impact of FDA regulatory actions.

PURPOSE: To conduct a synthesis of the literature on methods to evaluate the impacts of FDA regulatory actions and identify best practices for future evaluations. METHODS: We searched MEDLINE for manuscripts published between January 1948 and August 2011 that included terms related to FDA, regulatory actions, and empirical evaluation; the review additionally included FDA-identified literature. We used a modified Delphi method to identify preferred methodologies. We included studies with explicit methods to address threats to validity and identified designs and analytic methods with strong internal validity that have been applied to other policy evaluations. RESULTS: We included 18 studies out of 243 abstracts and papers screened. Overall, analytic rigor in prior evaluations of FDA regulatory actions varied considerably; less than a quarter of studies (22%) included control groups. Only 56% assessed changes in the use of substitute products/services, and 11% examined patient health outcomes. Among studies meeting minimal criteria of rigor, 50% found no impact or weak/modest impacts of FDA actions and 33% detected unintended consequences. Among those studies finding significant intended effects of FDA actions, all cited the importance of intensive communication efforts. There are preferred methods with strong internal validity that have yet to be applied to evaluations of FDA regulatory actions. CONCLUSIONS: Rigorous evaluations of the impact of FDA regulatory actions have been limited and infrequent. Several methods with strong internal validity are available to improve trustworthiness of future evaluations of FDA policies.

Ayres Sensory Integration Therapy for a Child With Rett Syndrome: A Case Report.

Rett syndrome (RTT) is a neurodevelopmental disorder characterized by severe dyspraxia, hand stereotypies, and sensory processing issues for which there is no known treatment. This case describes a child with classic RTT and the child's responses to an Ayres Sensory Integration (ASI) treatment intervention (36 one-hour sessions, 3 per week). We coded and analyzed 36 detailed treatment notes to answer the following questions: What strategies and factors facilitated or interfered with participation in the intervention? What critical elements of treatment documentation might detect small changes in praxis and participation? How do patterns of motor or praxis milestones that emerge over time relate to this child's level of participation? We observed an increase in participation when the therapist incorporated elements of neurodevelopmental treatment (NDT) and motor learning theory- treatment strategies commonly used with children who have neuromotor conditions. This increase in participation in the ASI intervention emerged at approximately the same time that the therapist documented acquisition of new motor and praxis skills. We observed the importance of using: lateral movement activities to develop weight-shifting and bilateral coordination, rotary play to increase trunk rotation and improve postural transitions, and rhythm to promote continuing or initiating actions. The documentation of the specific amounts of assistance and prompting needed during treatment sessions was an important tool for tracking small yet meaningful responses to treatment. This case illustrates a novel use of ASI intervention supplemented with strategies that developed foundational skills, and the emergence of praxis and participation in the therapeutic intervention. We suggest further research is needed to determine efficacy of ASI for other children with this rare disorder.

Delayed and forgone care for families with chronic conditions in high-deductible health plans.

BACKGROUND: High-deductible health plans (HDHPs) are an increasingly common strategy to contain health care costs. Individuals with chronic conditions are at particular risk for increased out-of-pocket costs in HDHPs and resulting cost-related underuse of essential health care. OBJECTIVE: To evaluate whether families with chronic conditions in HDHPs have higher rates of delayed or forgone care due to cost, compared with those in traditional health insurance plans. DESIGN: This mail and phone survey used multiple logistic regression to compare family-level rates of reporting delayed/forgone care in HDHPs vs. traditional plans. PARTICIPANTS: We selected families with children that had at least one member with a chronic condition. Families had employer-sponsored insurance in a Massachusetts health plan and >12 months of enrollment in an HDHP or a traditional plan. MAIN MEASURES: The primary outcome was report of any delayed or forgone care due to cost (acute care, emergency department visits, chronic care, checkups, or tests) for adults or children during the prior 12 months. RESULTS: Respondents included 208 families in HDHPs and 370 in traditional plans. Membership in an HDHP and lower income were each independently associated with higher probability of delayed/forgone care due to cost. For adult family members, the predicted probability of delayed/forgone care due to cost was higher in HDHPs than in traditional plans [40.0% vs 15.1% among families with incomes <400% of the federal poverty level (FPL) and 16.0% vs 4.8% among those with incomes ≥400% FPL]. Similar associations were observed for children. CONCLUSIONS: Among families with chronic conditions, reporting of delayed/forgone care due to cost is higher for both adults and children in HDHPs than in traditional plans. Families with lower incomes are also at higher risk for delayed/forgone care.