Search

More than 20 percent of Affordable Care Act (ACA) exchange market (Marketplace) members insured by a large national insurer in 2015 and 2016 enrolled during a special enrollment period (SEP), defined as any enrollment outside the annual open enrollment period. These members were younger and had approximately 34 percent higher average monthly total costs than members who enrolled during open enrollment. SEP members had 69-114 percent higher inpatient costs and 11-19 percent higher emergency department costs than open enrollment members. Higher costs, especially among a slightly younger population, may suggest potential adverse selection among SEP members, which could contribute to increased premiums and insurer exit from ACA Marketplaces. Although SEP members had a shorter average enrollment length per calendar year, they were more likely than open enrollment members to stay insured through the end of the calendar year and to renew in a Marketplace plan offered by the insurer in the following year. However, renewing SEP and open enrollment members were older, sicker, and costlier than nonrenewing members of both enrollee types, which suggests that healthier members are switching carriers or leaving the market over time. Additional research is urgently needed to inform evidence-based policy regarding Marketplace risk adjustment and SEP eligibility rules and to improve outreach to people who are eligible for SEP enrollment.

Importance: Most people with commercial health insurance in the US have high-deductible plans, but the association of such plans with major health outcomes is unknown., Objective: To describe the association between enrollment in high-deductible health plans and the risk of major adverse cardiovascular outcomes., Design, Setting, and Participants: This cohort study examined matched groups before and after an insurance design change. Data were from a large national commercial (and Medicare Advantage) health insurance claims data set that included members enrolled between January 1, 2003, and December 31, 2014. The study group included 156 962 individuals with risk factors for cardiovascular disease who were continuously enrolled in low-deductible (≤$500) health plans during a baseline year followed by up to 4 years in high-deductible (≥$1000) plans with typical value-based features after an employer-mandated switch. The matched control group included 1 467 758 individuals with the same risk factors who were contemporaneously enrolled in low-deductible plans. Data were analyzed from December 2017 to March 2020., Exposures: Employer-mandated transition to a high-deductible health plan., Main Outcomes and Measures: Time to first major adverse cardiovascular event defined as myocardial infarction or stroke., Results: The study group included 156 962 individuals and the control group included 1 467 758 individuals; the mean age of members was 53 years (SD: high-deductible group, 6.7 years; control group, 6.9 years), 47% were female, and approximately 48% lived in low-income neighborhoods. First major adverse cardiovascular events among high-deductible health plan members did not differ relative to controls at follow-up vs baseline (adjusted hazard ratio, 1.00; 95% CI, 0.89-1.13). Findings were similar among subgroups with diabetes (adjusted hazard ratio, 0.93; 95% CI, 0.75-1.16) and with other cardiovascular risk factors (adjusted hazard ratio, 0.93; 95% CI, 0.81-1.07)., Conclusions and Relevance: Mandated enrollment in high-deductible health plans with typical value-based features was not associated with increased risk of major adverse cardiovascular events.

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.

Objectives: To determine the impact of high-deductible health plans (HDHPs) on health care use among individuals with bipolar disorder., Study Design: Interrupted time series with propensity score-matched control group design, using a national health insurer's claims data set with medical, pharmacy, and enrollment data., Methods: The intervention group was composed of 2862 members with bipolar disorder who were enrolled for 1 year in a low-deductible (≤$500) plan and then 1 year in an HDHP (≥$1000) after an employer-mandated switch. HDHP members were propensity score matched 1:3 to contemporaneous controls in low-deductible plans. The main outcomes included out-of-pocket spending per health care service, mental health-related outpatient visits (subclassified as visits to nonpsychiatrist mental health providers and to psychiatrists), emergency department (ED) visits, and hospitalizations., Results: Mean pre- to post-index date out-of-pocket spending per visit on all mental health office visits, nonpsychiatrist mental health provider visits, and psychiatrist visits increased by 21.9% (95% CI, 15.1%-28.6%), 33.8% (95% CI, 2.0%-65.5%), and 17.8% (95% CI, 12.2%-23.4%), respectively, among HDHP vs control members. The HDHP group experienced a -4.6% (95% CI, -11.7% to 2.5%) pre- to post change in mental health outpatient visits relative to controls, a -10.9% (95% CI, -20.6% to -1.3%) reduction in nonpsychiatrist mental health provider visits, and unchanged psychiatrist visits. ED visits and hospitalizations were also unchanged., Conclusions: After a mandated switch to HDHPs, members with bipolar disorder experienced an 11% decline in visits to nonpsychiatrist mental health providers but unchanged psychiatrist visits, ED visits, and hospitalizations. HDHPs do not appear to have a "blunt instrument" effect on health care use in bipolar disorder; rather, patients might make trade-offs to preserve important care.

Background Trends in noninvasive diagnostic imaging (NDI) utilization rates have predominantly been reported in Medicare enrollees. To the authors' knowledge, there has been no prior direct comparison of utilization rates between Medicare and commercially insured patients. Purpose To analyze trends in NDI utilization rates by modality, comparing Medicare fee-for-service and commercially insured enrollees. Materials and Methods This study was a retrospective trend analysis of NDI performed between 2003 and 2016 as reported in claims databases for all adults enrolled in fee-for-service Medicare and for roughly 9 million commercially insured patients per year. The commercially insured patients were divided into two populations: those aged 18-44 years and those aged 45-64 years. The same procedure code definitions for NDI were applied to both Medicare and commercial claims, rates were calculated per 1000 enrollees, and trends were reported over time in aggregate followed by modality (CT, MRI, nuclear imaging, echocardiography, US, radiography). Join-point regression was used to model annual rates and to identify statistically significant ( P < .05) changes in trends. Results In almost all instances, Medicare enrollees had the highest utilization rate for each modality, followed by commercially insured patients aged 45-64 years, then aged 18-44 years. All three populations showed utilization growth through the mid to late 2000s (images per 1000 enrollees per year for Medicare: 91 [95% confidence interval {CI}: 34, 148]; commercially insured patients aged 45-64 years: 158 [95% CI: 130, 186]; aged 18-44 years: 83 [95% CI: 69, 97]), followed by significant declining trends from the late 2000s through early 2010s (images per 1000 enrollees per year for Medicare: -301 [95% CI: -510, -92]; commercially insured patients aged 45-64 years: -54 [95% CI: -69, -39]; aged 18-44 years: -26 [95% CI: -31, -21]) coinciding with code-bundling events instituted by Medicare (CT, nuclear imaging, echocardiography). There were significant trend changes in modalities without code bundling (MRI, radiography, US), although flat trends mostly were exhibited. After the early 2010s, there were significant trend changes largely showing flat utilization growth. The notable exception was a significant trend change to renewed growth of CT imaging among commercially insured patients aged 45-64 years and Medicare enrollees after 2012, although at half the prior rate (images per 1000 enrollees per year for Medicare: 17 [95% CI: 6, 28]; commercially insured patients aged 45-64 years: 11 [95% CI: 2, 20]). Conclusion Noninvasive diagnostic imaging utilization trends among commercially insured individuals are similar to those in Medicare enrollees, although at lower rates. Earlier rapid growth has ceased and, except for CT, utilization has stabilized since the early 2010s. © RSNA, 2019 See also the editorial by Hentel and Wolk in this issue.

Importance: There are few nationwide studies comparing the risk of reintervention after contemporary bariatric procedures., Objective: To compare the risk of intervention after Roux-en-Y gastric bypass (RYGB) vs vertical sleeve gastrectomy (VSG)., Design, Setting, and Participants: This cohort study used a nationwide US commercial insurance claims database. Adults aged 18 to 64 years who underwent a first RYGB or VSG procedure between January 1, 2010, and June 30, 2017, were matched on US region, year of surgery, most recent presurgery body mass index (BMI) category (based on diagnosis codes), and baseline type 2 diabetes. The prematch pool included 4496 patients undergoing RYGB and 8627 patients undergoing VSG, and the final weighted matched sample included 4476 patients undergoing RYGB and 8551 patients undergoing VSG., Exposures: Bariatric surgery procedure type (RYGB vs VSG)., Main Outcomes and Measures: The primary outcome was any abdominal operative intervention after the index procedure. Secondary outcomes included the following subtypes of operative intervention: biliary procedures, abdominal wall hernia repair, bariatric conversion or revision, and other abdominal operations. Nonoperative outcomes included endoscopy and enteral access. Time to first event was compared using multivariable Cox proportional hazards regression modeling., Results: Among 13 027 patients, the mean (SD) age was 44.4 (10.3) years, and 74.1% were female; 13.7% had a preoperative BMI between 30 and 39.9, 45.8% had a preoperative BMI between 40 and 49.9, and 24.2% had a preoperative BMI of at least 50. Patients were followed up for up to 4 years after surgery (median, 1.6 years; interquartile range, 0.7-3.2 years), with 41.9% having at least 2 years of follow-up and 16.3% having at least 4 years of follow-up. Patients undergoing VSG were less likely to have any subsequent operative intervention than matched patients undergoing RYGB (adjusted hazard ratio [aHR], 0.80; 95% CI, 0.72-0.89) and similarly were less likely to undergo biliary procedures (aHR, 0.77; 95% CI, 0.67-0.90), abdominal wall hernia repair (aHR, 0.60; 95% CI, 0.47-0.75), other abdominal operations (aHR, 0.71; 95% CI, 0.61-0.82), and endoscopy (aHR, 0.54; 95% CI, 0.49-0.59) or have enteral access placed (aHR, 0.58; 95% CI, 0.39-0.86). Patients undergoing VSG were more likely to undergo bariatric conversion or revision (aHR, 1.83; 95% CI, 1.19-2.80)., Conclusions and Relevance: In this nationwide study, patients undergoing VSG appeared to be less likely than matched patients undergoing RYGB to experience subsequent abdominal operative interventions, except for bariatric conversion or revision procedures. Patients considering bariatric surgery should be aware of the increased risk of subsequent procedures associated with RYGB vs VSG as part of shared decision-making around procedure choice.

Objective: Innovative mobile health technologies (mHealth) may facilitate self-management of blood glucose. This study evaluates uptake, use, and predictors of uptake and long-term use of a diabetes mHealth intervention, which comprises an FDA-approved mobile glucometer and nurse coaching, in a real-world setting., Methods: n = 4438 commercially-insured adults with diabetes were recruited from 2014 to 2015 via an opt-in, phone-based process. In this post-only study, we obtained data on recruitment, glucometer use, demographics, and insurance and employer characteristics. We calculated percent uptake and reasons for unsuccessful recruitment. We used logistic regression to model predictors of uptake and survival analysis to examine duration of testing and predictors of discontinuation., Results: Of the recruited members, 556 (12.5%) signed up for the mHealth program and 324 (7.3%) began testing. Of those who did not sign up, the majority (70.6%) were unable to be reached by phone. Male (OR = 1.60, 95% CI: 1.25, 2.03) and Spanish-speaking (OR = 8.34, 95% CI: 5.40, 12.88) members were more likely to start testing. Two-thirds (66.2%) of those who started testing had a first test value that indicated hyperglycemia; 97% tested more than once and the median time between first and last test was 407 days. Older age was the only significant predictor of long-term use., Conclusions: Although uptake of the mHealth program was low, most members who started testing had initial glucose values that indicated a need for better glucose management and the majority of patients engaged with the program for over a year. Male and Spanish-speaking members were more likely to initiate the program., (Copyright © 2019 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.)

Background: Hepatitis B virus (HBV) screening during pregnancy is standard of care to prevent vertical transmission to infants, yet the mothers themselves may not receive appropriate follow-up., Goals: Using a national database, we sought to determine rates of maternal peripartum follow-up with a HBV specialist and identify factors associated with a lack of follow-up., Materials and Methods: We identified women who delivered in 2000 to 2012 and were diagnosed with HBV according to International Classification of Diseases-9 codes using a national database (Optum) derived from commercial insurance claims with ∼46 million members ages 0 to 64 in all 50 states. Our primary outcome was follow-up during or after pregnancy with a HBV specialist (gastroenterology/infectious diseases)., Results: The prevalence of HBV was 0.27% (2558/959,747 pregnancies), and median follow-up was 45 months. Only 21% of women had peripartum HBV specialist follow-up. On multivariable regression, predictors of peripartum follow-up at 1-year included younger age [odds ratio (OR), 0.97/y; 95% confidence interval (CI), 0.94, 0.99], Asian race/ethnicity (OR, 1.56 vs. white; 95% CI, 1.13, 2.17), and residing in the Northeast (OR, 1.70; 95% CI, 1.09, 2.66) and Midwest (OR, 1.73; 95% CI, 1.07, 2.81) versus West. Predictors of testing for HBV DNA and alanine aminotransferase at 1 year included Asian race (OR, 1.72; 95% CI, 1.23, 2.41), a primary care physician visit within 2 years of delivery (OR, 1.63; 95% CI, 1.19, 2.22), and peripartum HBV specialist follow-up within 1 year (OR, 15.68; 95% CI, 11.38, 21.60)., Conclusions: Maternal HBV specialist follow-up rates were extremely low in this large, diverse cohort representing all United States regions. Referral to a HBV specialist was the strongest predictor of appropriate postpartum HBV laboratory testing. Follow-up rates may be even lower in uninsured populations.

Background: Medication non-adherence is a major contributor to poor outcomes in diabetes. Previous research has shown an association between use of mail order pharmacy delivery and better medication adherence, but little is known about the barriers and facilitators to mail order pharmacy use in diabetes patients. This qualitative study examined factors related to mail order pharmacy use versus traditional "brick and mortar" pharmacies to refill prescriptions., Methods: We conducted four 90-min focus groups in 2016 among 28 diabetes patients in the Hawaii and Northern California regions of Kaiser Permanente, a large integrated health care delivery system. We queried participants on their preferred mode for refilling prescriptions and perceived barriers and facilitators of mail order pharmacy use. One researcher independently coded each focus group transcript, with two of these transcripts double-coded by a second researcher to promote reliability. We employed thematic analysis guided by the Capability, Opportunity, Motivation, and Behavior (COM-B) framework using NVivo 11 software., Results: A total of 28 diabetes patients participated. Participants' average age was 64.1 years; 57% were female; and racial/ethnic backgrounds included Asian/Native Hawaiian/Pacific Islander (36%), Black/African-American (21%) Hispanic/Latino (7%), and non-Hispanic White (36%). Analysis uncovered 26 themes related to the decision to use mail order pharmacy, with each theme representing a barrier or facilitator mapped to the COM-B framework. Most themes (20/26) fell into the COM-B category of 'Opportunity.' Opportunity barriers to mail order pharmacy use included unpredictability of medication delivery date, concerns about mail security, and difficulty coordinating refill orders for multiple prescriptions. In contrast, facilitators included greater access and convenience (e.g., no need to wait in line or arrange transportation) compared to traditional pharmacies. Motivational facilitators to mail order pharmacy use included receiving a pharmacy benefit plan incentive of a free one-month supply of prescriptions., Conclusions: This study found that while patients with diabetes may benefit from mail order pharmacy use, they perceive numerous barriers to using the service. These findings will inform the design of interventions and quality improvement initiatives to increase mail order pharmacy use, which in turn may improve medication adherence and outcomes in diabetes patients, across health care systems.

Objectives: To describe recent trends in advanced imaging and hospitalization of emergency department (ED) syncope patients, both considered "low-value", and examine trend changes before and after the publication of American College Emergency Physician (ACEP) syncope guidelines in 2007, compared to conditions that had no changes in guideline recommendations., Methods: We analyzed 2002-2015 National Hospital Ambulatory Medical Care Survey data using an interrupted-time series with comparison series design. The primary outcomes were advanced imaging among ED visits with principal diagnosis of syncope and headache and hospitalization for ED visits with principal diagnosis of syncope, chest pain, dysrhythmia, and pneumonia. We adjusted annual imaging and hospitalization rates using survey-weighted multivariable logistic regression, controlling for demographic and visit characteristics. Using adjusted outcomes as datapoints, we compared linear trends and trend changes of annual imaging and hospitalization rates before and after 2007 with aggregate-level multivariable linear regression., Results: From 2002 to 2007, advanced imaging rates for syncope increased from 27.2% to 42.1% but had no significant trend after 2007 (trend change: -3.1%; 95%CI -4.7, -1.6). Hospitalization rates remained at approximately 37% from 2002 to 2007 but declined to 25.7% by 2015 (trend change: -2.2%; 95%CI -3.0, -1.4). Similar trend changes occurred among control conditions versus syncope, including advanced imaging for headache (difference in trend change: -0.6%; 95%CI -2.8, 1.6) and hospitalizations for chest pain, dysrhythmia, and pneumonia (differences in trend changes: 0.1% [95%CI -1.9, 2.0]; -0.9% [95%CI -3.1, 1.3]; and -1.2% [95%CI -5.3, 2.9], respectively)., Conclusions: Before and after the release of 2007 ACEP syncope guidelines, trends in advanced imaging and hospitalization for ED syncope visits had similar changes compared to control conditions. Changes in syncope care may, therefore, reflect broader practice shifts rather than a direct association with the 2007 ACEP guideline. Moreover, utilization of advanced imaging remains prevalent. To reduce low-value care, policymakers should augment society guidelines with additional policy changes such as reportable quality measures., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Public and private insurers increasingly use quality payment programs as a tool to improve quality of care in primary care settings. However, little is known about primary care providers' perspectives on whether and how quality payment programs improve diabetes quality of care. In this qualitative study, the authors conducted semi-structured interviews and focus groups with 23 providers from March to June 2015. Transcripts were analyzed to identify key themes using the immersion-crystallization method. Almost all of the providers believed that insurers play a meaningful role in improving quality of care for diabetes patients. Most thought that insurers' efforts are more effective when channeled through providers and delivery systems rather than directed at patients. Providers generally believed that quality payment programs have had a positive impact on quality of diabetes care, although provider views were not evidence based. Providers in practices in which quality payment programs were believed to have had a positive impact stated that the programs provided financial incentives and resources for improved population health management systems and additional staff. Conversely, most providers did not believe that quality payment programs have had any impact via direct financial incentives to individual physicians. A few providers were skeptical about the impact of quality payment programs and noted negative consequences that they had observed. Providers recommended strategies to improve quality payment programs (eg, refine quality measures, provide regular feedback on quality and costs) and additional strategies that insurers could consider to address provider- and patient-level barriers to high-quality diabetes care.

Background: Decades-long efforts to require parity between behavioral and physical health insurance coverage culminated in the comprehensive federal Mental Health Parity and Addiction Equity Act., Objectives: To determine the association between federal parity and changes in mental health care utilization and spending, particularly among high utilizers., Research Design: Difference-in-differences analyses compared changes before and after exposure to federal parity versus a comparison group., Subjects: Commercially insured enrollees aged 18-64 with a mental health disorder drawn from 24 states where self-insured employers were newly subject to federal parity in 2010 (exposure group), but small employers were exempt before-and-after parity (comparison group). A total of 11,226 exposure group members were propensity score matched (1:1) to comparison group members, all of whom were continuously enrolled from 1 year prepolicy to 1-2 years postpolicy., Measures: Mental health outpatient visits, out-of-pocket spending for these visits, emergency department visits, and hospitalizations., Results: Relative to comparison group members, mean out-of-pocket spending per outpatient mental health visit declined among exposure enrollees by $0.74 (1.40, 0.07) and $2.03 (3.17, 0.89) in years 1 and 2 after the policy, respectively. Corresponding annual mental health visits increased by 0.31 (0.12, 0.51) and 0.59 (0.37, 0.81) per enrollee. Difference-in-difference changes were larger for the highest baseline quartile mental health care utilizers [year 2: 0.76 visits per enrollee (0.14, 1.38); relative increase 10.07%] and spenders [year 2: $-2.28 (-3.76, -0.79); relative reduction 5.91%]. There were no significant difference-in-differences changes in emergency department visits or hospitalizations., Conclusions: In 24 states, commercially insured high utilizers of mental health services experienced modest increases in outpatient mental health visits 2 years postparity.

The effects of high-deductible health plans (HDHPs) on breast cancer diagnosis and treatment among vulnerable populations are unknown. We examined time to first breast cancer diagnostic testing, diagnosis, and chemotherapy among a group of women whose employers switched their insurance coverage from health plans with low deductibles ($500 or less) to plans with high deductibles ($1,000 or more) between 2004 and 2014. Primary subgroups of interest comprised 54,403 low-income and 76,776 high-income women continuously enrolled in low-deductible plans for a year and then up to four years in HDHPs. Matched controls had contemporaneous low-deductible enrollment. Low-income women in HDHPs experienced relative delays of 1.6 months to first breast imaging, 2.7 months to first biopsy, 6.6 months to incident early-stage breast cancer diagnosis, and 8.7 months to first chemotherapy. High-income HDHP members had shorter delays that did not differ significantly from those of their low-income counterparts. HDHP members living in metropolitan, nonmetropolitan, predominantly white, and predominantly nonwhite areas also experienced delayed breast cancer care. Policies may be needed to reduce out-of-pocket spending obligations for breast cancer care.

Background . Health insurers are well-positioned to address low HPV vaccination coverage in the US through initiatives such as provider assessment and feedback. However, little is known about the feasibility of using administrative claims data to assess provider performance on vaccine delivery. Methods . We used administrative claims data from a regional health plan to estimate provider performance on the 2013-2015 Healthcare Effectiveness Data and Information Set (HEDIS) measure for HPV vaccine. This measure required that a girl receive three doses of HPV vaccine by age 13. Providers who administered ≥1 dose in a HEDIS-consistent series received credit for meeting the goal. Results . From January 2008-April 2015, 1,975 (8.5%) of 11-12 year-old girls in our sample received a HEDIS-consistent HPV vaccine series. Our sample of providers consisted of 1,236 who had ≥10 well-visits with different female patients, and 94% of these were pediatricians. A substantial minority of providers (39.4%) did not administer any HEDIS-consistent HPV vaccine doses. Only 5.5% of providers administered HPV vaccine doses that were part of a HEDIS-consistent series to at least one-quarter of their patients. These estimates did not vary by provider sex or age. Doses in a HEDIS-consistent vaccine series were often attributed to multiple providers. Conclusions . In a regional health plan, only 5.5% of providers in our sample administered doses that were part of a complete, three-dose HPV vaccine series to at least one-quarter of their 11-12 year-old female patients.

Background: Little is known about the long-term effects of high-deductible insurance on care for chronic medical conditions., Objective: To determine whether a transition from low-deductible to high-deductible insurance is associated with delayed medical care for macrovascular complications of diabetes., Design: Observational longitudinal comparison of matched groups., Setting: A large national health insurer during 2003 to 2012., Participants: The intervention group comprised 33 957 persons with diabetes who were continuously enrolled in low-deductible (≤$500) insurance plans during a baseline year followed by up to 4 years in high-deductible (≥$1000) plans. The control group included 294 942 persons with diabetes who were enrolled in low-deductible plans contemporaneously with matched intervention group members., Intervention: Employer-mandated transition to a high-deductible plan., Measurements: The number of months it took for persons in each study group to seek care for their first major macrovascular symptom, have their first major diagnostic test for macrovascular disease, and have their first major procedure-based treatment was determined. Between-group differences in time to reach a midpoint event rate were then calculated., Results: No baseline differences were found between groups. During follow-up, the delay for the high-deductible group was 1.5 months (95% CI, 0.8 to 2.3 months) for seeking care for the first major symptom, 1.9 months (CI, 1.4 to 2.3 months) for the first diagnostic test, and 3.1 months (CI, 0.5 to 5.8 months) for the first procedure-based treatment., Limitation: Health outcomes were not examined., Conclusion: Among persons with diabetes, mandated enrollment in a high-deductible insurance plan was associated with delays in seeking care for the first major symptoms of macrovascular disease, the first diagnostic test, and the first procedure-based treatment., Primary Funding Source: National Institute of Diabetes and Digestive and Kidney Diseases.

Purpose: High-deductible health plan (HDHP) enrollment is expanding rapidly and might substantially increase out-of-pocket (OOP) payment burden. We examined trends in total and OOP health service expenditures overall and by insurance coverage type among women with metastatic breast cancer., Methods: We used a longitudinal time series design to examine measures among 5364 women with metastatic breast cancer insured by a large US health insurer from 2004 to 2011. We measured outcomes during the 12 months after a first identified metastatic breast cancer diagnosis and required women to have at least 6 months of prior enrollment. We plotted enrollment measures and adjusted total and OOP spending. We fit trend lines using linear autoregressive models., Results: Between 2004 and 2011, the percentage of women with metastatic breast cancer enrolled in employer-mandated HDHPs increased from 8 to 23% while the percentage enrolled in employer-mandated low-deductible plans (LDHPs) decreased from 69 to 37%. Over the same time period, estimated annual inflation-adjusted total health service spending among women with metastatic breast cancer whose employers only offered HDHPs or LDHPS increased from $96,899 to $104,688 (increase of $1197 per year; 95% confidence interval [CI]: $47,$2,348). Corresponding OOP spending values among these women with employer-mandated deductible levels were $4,496 and $5,151 ($91 per year trend; 95% CI -$13,$195). From 2004-2011, women in HDHPs and LDHPs had unchanged annual OOP spending, estimated at of $6642 (95% CI $6,268,$7016) and $4,247 (95% CI $3956,$4538), respectively. Thus, women in HDHPs experienced 55% (44%, 66%) more OOP spending than women in LDHP., Conclusions: OOP spending among women with metastatic breast cancer and employer-mandated deductible levels was 55% higher among HDHP than LDHP members, and employer-mandated HDHP enrollment increased substantially from 2004 to 2011. Stakeholders and policymakers should design health plans that protect financially vulnerable cancer patients from high OOP costs.

Objective: High-deductible health plans (HDHPs) have become the predominant commercial health insurance arrangement in the US. HDHPs require substantial out-of-pocket (OOP) costs for most services but often exempt medications from high cost sharing. We examined effects of HDHPs on OOP costs and utilization of adjuvant hormonal therapy (AHT), which are fundamental care for patients with breast cancer., Methods: This controlled quasi-experimental study used claims data (2003-2012) from a large national health insurer. We included 986 women with incident early-stage breast cancer, age 25-64 years, insured by employers that mandated a transition from low-deductible (≤ $500/year) to high-deductible (≥ $1000/year) coverage, and 3479 propensity score-matched controls whose employers offered only low-deductible plans. We examined AHT utilization and OOP costs per person-year before and after the HDHP switch., Results: At baseline, the OOP costs for AHT were $40.41 and $36.55 per person-year among the HDHP and control groups. After the HDHP switch, the OOP costs for AHT were $91.76 and $72.98 per person-year among the HDHP and control groups, respectively. AHT OOP costs increased among HDHP members relative to controls but the change was not significant (relative change 13.72% [95% CI - 9.25, 36.70%]). AHT use among HDHP members did not change compared to controls (relative change of 2.73% [95% CI - 14.01, 19.48%]); the change in aromatase inhibitor use was - 11.94% (95% CI - 32.76, 8.88%) and the change in tamoxifen use was 20.65% (95% CI - 8.01, 49.32%)., Conclusion: We did not detect significant changes in AHT use after the HDHP switch. Findings might be related to modest increases in overall AHT OOP costs, the availability of low-cost generic tamoxifen, and patient awareness that AHT can prolong life and health. Minimizing OOP cost increases for essential medications might represent a feasible approach for maintaining medication adherence among HDHP members with incident breast cancer.

State prescription drug monitoring programs (PDMPs) aim to reduce risky controlled-substance prescribing, but early programs had limited impact. Several states implemented robust features in 2012-13, such as mandates that prescribers register with the program and regularly check its registry database. Some states allow prescribers to fulfill the latter requirement by designating delegates to check the registry. The effects of robust PDMP features have not been fully assessed. We used commercial claims data to examine the effects of implementing robust PDMPs in four states on overall and high-risk opioid prescribing, comparing those results to trends in similar states without robust PDMPs. By the end of 2014 the absolute mean morphine-equivalent dosages that providers dispensed declined in a range of 6-77 mg per person per quarter in the four states, relative to comparison states. Only in one of the four states, Kentucky, did the percentage of people who filled opioid prescriptions decline versus its comparator state, with an absolute reduction of 1.6 percent by the end of 2014. Robust PDMPs may be able to significantly reduce opioid dosages dispensed, percentages of patients receiving opioids, and high-risk prescribing.

Objective: High-deductible health plans (HDHPs) are now the predominant commercial health insurance benefit in the U.S. We sought to determine the effects of HDHPs on emergency department and hospital care, adverse outcomes, and total health care expenditures among patients with diabetes., Research Design and Methods: We applied a controlled interrupted time-series design to study 23,493 HDHP members with diabetes, aged 12-64, insured through a large national health insurer from 2003 to 2012. HDHP members were enrolled for 1 year in a low-deductible (≤$500) plan, followed by 1 year in an HDHP (≥$1,000 deductible) after an employer-mandated switch. Patients transitioning to HDHPs were matched to 192,842 contemporaneous patients whose employers offered only low-deductible coverage. HDHP members from low-income neighborhoods ( n = 8,453) were a subgroup of interest. Utilization measures included emergency department visits, hospitalizations, and total (health plan plus member out-of-pocket) health care expenditures. Proxy health outcome measures comprised high-severity emergency department visit expenditures and high-severity hospitalization days., Results: After the HDHP transition, emergency department visits declined by 4.0% (95% CI -7.8, -0.1), hospitalizations fell by 5.6% (-10.8, -0.5), direct (nonemergency department-based) hospitalizations declined by 11.1% (-16.6, -5.6), and total health care expenditures dropped by 3.8% (-4.3, -3.4). Adverse outcomes did not change in the overall HDHP cohort, but members from low-income neighborhoods experienced 23.5% higher (18.3, 28.7) high-severity emergency department visit expenditures and 27.4% higher (15.5, 39.2) high-severity hospitalization days., Conclusions: After an HDHP switch, direct hospitalizations declined by 11.1% among patients with diabetes, likely driving 3.8% lower total health care expenditures. Proxy adverse outcomes were unchanged in the overall HDHP population with diabetes, but members from low-income neighborhoods experienced large, concerning increases in high-severity emergency department visit expenditures and hospitalization days., (© 2018 by the American Diabetes Association.)

Purpose High-deductible health plans (HDHPs) require substantial out-of-pocket spending and might delay crucial health services. Breast cancer treatment delays of as little as 2 months are associated with adverse outcomes. Methods We used a controlled prepost design with survival analysis to assess timing of breast cancer care events among 273,499 women age 25 to 64 years without evidence of breast cancer before inclusion. Women were included if continuously enrolled for 1 year in a low-deductible ($0 to $500) plan followed by up to 4 years in a HDHP (at least $1,000 deductible) after an employer-mandated switch. Study inclusion was on a rolling basis, and members were followed between 2003 and 2012. The comparison group comprised 2.4 million contemporaneously matched women whose employers offered only low-deductible plans. Measures were times to first diagnostic breast imaging (diagnostic mammogram, breast ultrasound, or breast magnetic resonance imaging), breast biopsy, incident early-stage breast cancer diagnosis, and breast cancer chemotherapy. Outcomes were analyzed by using Cox models and adjusted for age-group, morbidity score, poverty level, US region, index date, and employer size. Results After the index date, HDHP members experienced delays in receipt of diagnostic imaging (adjusted hazard ratio [aHR], 0.95; 95% CI, 0.94 to 0.96), biopsy (aHR, 0.92; 95% CI, 0.89 to 0.95), early-stage breast cancer diagnosis (aHR, 0.83; 0.78 to 0.90), and chemotherapy initiation (aHR, 0.79; 95% CI, 0.72 to 0.86) compared with the control group. Conclusion Women switched to HDHPs experienced delays in diagnostic breast imaging, breast biopsy, early-stage breast cancer diagnosis, and chemotherapy initiation. Additional research should determine whether such delays cause adverse health outcomes, and policymakers should consider selectively reducing out-of-pocket costs for key breast cancer services.

Purpose of Review: Diabetes incidence is rising among vulnerable population subgroups including minorities and individuals with limited education. Many diabetes-related programs and public policies are unevaluated while others are analyzed with research designs highly susceptible to bias which can result in flawed conclusions. The Natural Experiments for Translation in Diabetes 2.0 (NEXT-D2) Network includes eight research centers and three funding agencies using rigorous methods to evaluate natural experiments in health policy and program delivery., Recent Findings: NEXT-D2 research studies use quasi-experimental methods to assess three major areas as they relate to diabetes: health insurance expansion; healthcare financing and payment models; and innovations in care coordination. The studies will report on preventive processes, achievement of diabetes care goals, and incidence of complications. Some studies assess healthcare utilization while others focus on patient-reported outcomes. NEXT-D2 examines the effect of public and private policies on diabetes care and prevention at a critical time, given ongoing and rapid shifts in the US health policy landscape.

Background: The 2012 Health and Social Care Act (HSCA) in England led to among the largest healthcare reforms in the history of the National Health Service (NHS). It gave control of £67 billion of the NHS budget for secondary care to general practitioner (GP) led Clinical Commissioning Groups (CCGs). An expected outcome was that patient care would shift away from expensive hospital and specialist settings, towards less expensive community-based models. However, there is little evidence for the effectiveness of this approach. In this study, we aimed to assess the association between the NHS reforms and hospital admissions and outpatient specialist visits., Methods and Findings: We conducted a controlled interrupted time series analysis to examine rates of outpatient specialist visits and inpatient hospitalisations before and after the implementation of the HSCA. We used national routine hospital administrative data (Hospital Episode Statistics) on all NHS outpatient specialist visits and inpatient hospital admissions in England between 2007 and 2015 (with a mean of 26.8 million new outpatient visits and 14.9 million inpatient admissions per year). As a control series, we used equivalent data on hospital attendances in Scotland. Primary outcomes were: total, elective, and emergency hospitalisations, and total and GP-referred specialist visits. Both countries had stable trends in all outcomes at baseline. In England, after the policy, there was a 1.1% (95% CI 0.7%-1.5%; p < 0.001) increase in total specialist visits per quarter and a 1.6% increase in GP-referred specialist visits (95% CI 1.2%-2.0%; p < 0.001) per quarter, equivalent to 12.7% (647,000 over the 5,105,000 expected) and 19.1% (507,000 over the 2,658,000 expected) more visits per quarter by the end of 2015, respectively. In Scotland, there was no change in specialist visits. Neither country experienced a change in trends in hospitalisations: change in slope for total, elective, and emergency hospitalisations were -0.2% (95% CI -0.6%-0.2%; p = 0.257), -0.2% (95% CI -0.6%-0.1%; p = 0.235), and 0.0% (95% CI -0.5%-0.4%; p = 0.866) per quarter in England. We are unable to exclude confounding due to other events occurring around the time of the policy. However, we limited the likelihood of such confounding by including relevant control series, in which no changes were seen., Conclusions: Our findings suggest that giving control of healthcare budgets to GP-led CCGs was not associated with a reduction in overall hospitalisations and was associated with an increase in specialist visits.

Importance: Clinicians who order unnecessary radiographic imaging may cause financial harm to patients who have increasing levels of cost sharing. Clinician predictors of low-value imaging are largely unknown., Objective: To characterize clinician predictors of low-value imaging for acute uncomplicated back pain and headache, including clinicians who saw both conditions., Design, Setting, and Participants: Multivariate logistic regression modeling of imaging rates after acute uncomplicated back pain and headache visits as indicated by January 2010 to December 2014 commercial insurance claims and demographic data from a large US health insurer. Participants included 100 977 clinicians (primary care physicians, specialist physicians, and chiropractors)., Main Outcomes and Measures: Imaging after acute uncomplicated back pain and headache visits was recorded. We identified whether the clinician's prior patient received imaging, whether the clinician was an owner of imaging equipment, and the varying impact by clinician specialty. We then used high rates of low-value back imaging as a predictor for low-value headache imaging., Results: Clinicians conducted 1 007 392 visits for 878 720 adults ages 18 to 64 years with acute uncomplicated back pain; 52 876 primary care physicians conducted visits for 492 805 adults ages 18 to 64 years with acute uncomplicated headache; 34 190 primary care clinicians conducted 405 721 visits for 344 991 adults ages 18 to 64 years with headache and had also conducted at least 4 visits from patients with back pain. If a primary care physician's prior patient received low-value back imaging, the patient had 1.81 higher odds of low-value imaging (95% CI, 1.77-1.85). This practice effect was larger for chiropractors (odds ratio [OR], 2.80; 95% CI, 2.74-2.86) and specialists (OR, 2.98; 95% CI, 2.88-3.07). For headache, a prior low-value head image predicted 2.00 higher odds of a subsequent head imaging order (95% CI, 1.95-2.06). Clinician ownership of imaging equipment was a consistent independent predictor of low-value imaging (OR, 1.65-7.76) across clinician type and imaging scenario. Primary care physicians with the highest rates of low-value back imaging also had 1.53 (95% CI, 1.45-1.61) higher odds of ordering low-value headache imaging., Conclusions and Relevance: Clinician characteristics such as ordering low-value imaging on a prior patient, high rates of low-value imaging in another clinical scenario, and ownership of imaging equipment are strong predictors of low-value back and headache imaging. Findings should inform policies that target potentially unnecessary and financially burdensome care.

Importance: Opioid use disorder (OUD) frequently begins in adolescence and young adulthood. Intervening early with pharmacotherapy is recommended by major professional organizations. No prior national studies have examined the extent to which adolescents and young adults (collectively termed youth) with OUD receive pharmacotherapy., Objective: To identify time trends and disparities in receipt of buprenorphine and naltrexone among youth with OUD in the United States., Design, Setting, and Participants: A retrospective cohort study was conducted using deidentified data from a national commercial insurance database. Enrollment and complete health insurance claims of 9.7 million youth, aged 13 to 25 years were analyzed, identifying individuals who received a diagnosis of OUD between January 1, 2001, and June 30, 2014, with final follow-up date December 31, 2014. Analysis was conducted from April 25 to December 31, 2016. Time trends were identified and multivariable logistic regression was used to determine sociodemographic factors associated with medication receipt., Exposures: Sex, age, race/ethnicity, neighborhood education and poverty levels, geographic region, census region, and year of diagnosis., Main Outcomes and Measures: Dispensing of a medication (buprenorphine or naltrexone) within 6 months of first receiving an OUD diagnosis., Results: Among 20 822 youth diagnosed with OUD (0.2% of the 9.7 million sample), 13 698 (65.8%) were male and 17 119 (82.2%) were non-Hispanic white. Mean (SD) age was 21.0 (2.5) years at the first observed diagnosis. The diagnosis rate of OUD increased nearly 6-fold from 2001 to 2014 (from 0.26 per 100 000 person-years to 1.51 per 100 000 person-years). Overall, 5580 (26.8%) youth were dispensed a medication within 6 months of diagnosis, with 4976 (89.2%) of medication-treated youth receiving buprenorphine and 604 (10.8%) receiving naltrexone. Medication receipt increased more than 10-fold, from 3.0% in 2002 (when buprenorphine was introduced) to 31.8% in 2009, but declined in subsequent years (27.5% in 2014). In multivariable analyses, younger individuals were less likely to receive medications, with adjusted probability for age 13 to 15 years, 1.4% (95% CI, 0.4%-2.3%); 16 to 17 years, 9.7% (95% CI, 8.4%-11.1%); 18 to 20 years, 22.0% (95% CI, 21.0%-23.0%); and 21 to 25 years, 30.5% (95% CI, 30.0%-31.5%) (P < .001 for difference). Females (7124 [20.3%]) were less likely than males (13 698 [24.4%]) to receive medications (P < .001), as were non-Hispanic black (105 [14.8%]) and Hispanic (1165 [20.0%]) youth compared with non-Hispanic white (17 119 [23.1%]) youth (P < .001)., Conclusions and Relevance: In this first national study of buprenorphine and naltrexone receipt among youth, dispensing increased over time. Nonetheless, only 1 in 4 commercially insured youth with OUD received pharmacotherapy, and disparities based on sex, age, and race/ethnicity were observed.

Choosing Wisely was launched by the American Board of Internal Medicine in April 2012 as a patient- and clinician-targeted campaign to reduce potentially unnecessary "low-value" medical services. The campaign's impact on low- and high-value care beyond its first year is unknown; furthermore, it is unknown whether some patients such as members of consumer-directed health plans and people residing in different US regions have responded more than others. To evaluate the impact of Choosing Wisely, we used commercial insurance claims to track changes in the use of low-value imaging (x-ray, computed tomography, and magnetic resonance imaging) for back pain before and after the campaign began, a period running from 2010 to 2014. We selected back pain imaging because it is a prominent target of Choosing Wisely, which considers it low value except in a minority of cases, because of its relatively high out-of-pocket expense, and the large volume of low back pain visits nationally. We found only a 4 percent relative reduction in low-value back imaging 2.5 years after the start of the campaign and some differences in regional trends, but no differences associated with enrollment in consumer-directed health plans. Our findings highlight the ongoing challenge of reducing unnecessary medical care, even when patients have "skin in the game" under consumer-directed health plans., (Project HOPE—The People-to-People Health Foundation, Inc.)

Importance: High-deductible health plans (HDHPs) have expanded under the Affordable Care Act and are expected to play a major role in the future of US health policy. The effects of modern HDHPs on chronically ill patients and adverse outcomes are unknown., Objective: To determine the association of HDHP with high-priority diabetes outpatient care and preventable acute complications., Design, Setting, and Participants: Controlled interrupted-time-series study using a large national health insurer database from January 1, 2003, to December 31, 2012. A total of 12 084 HDHP members with diabetes, aged 12 to 64 years, who were enrolled for 1 year in a low-deductible (≤$500) plan followed by 2 years in an HDHP (≥$1000) after an employer-mandated switch were included. Patients transitioning to HDHPs were propensity-score matched with contemporaneous patients whose employers offered only low-deductible coverage. Low-income (n = 4121) and health savings account (HSA)-eligible (n = 1899) patients with diabetes were subgroups of interest. Data analysis was performed from February 23, 2015, to September 11, 2016., Exposures: Employer-mandated HDHP transition., Main Outcomes and Measures: High-priority outpatient visits, disease monitoring tests, and outpatient and emergency department visits for preventable acute diabetes complications., Results: In the 12 084 HDHP members included after the propensity score match, the mean (SD) age was 50.4 (10.0) years; 5410 of the group (44.8%) were women. The overall, low-income, and HSA-eligible diabetes HDHP groups experienced increases in out-of-pocket medical expenditures of 49.4% (95% CI, 40.3% to 58.4%), 51.7% (95% CI, 38.6% to 64.7%), and 67.8% (95% CI, 47.9% to 87.8%), respectively, compared with controls in the year after transitioning to HDHPs. High-priority primary care visits and disease monitoring tests did not change significantly in the overall HDHP cohort; however, high-priority specialist visits declined by 5.5% (95% CI, -9.6% to -1.5%) in follow-up year 1 and 7.1% (95% CI, -11.5% to -2.7%) in follow-up year 2 vs baseline. Outpatient acute diabetes complication visits were delayed in the overall and low-income HDHP cohorts at follow-up (adjusted hazard ratios, 0.94 [95% CI, 0.88 to 0.99] for the overall cohort and 0.89 [95% CI, 0.81 to 0.98] for the low-income cohort). Annual emergency department acute complication visits among HDHP members increased by 8.0% (95% CI, 4.6% to 11.4%) in the overall group, 21.7% (95% CI, 14.5% to 28.9%) in the low-income group, and 15.5% (95% CI, 10.5% to 20.6%) in the HSA-eligible group., Conclusions and Relevance: Patients with diabetes experienced minimal changes in outpatient visits and disease monitoring after an HDHP switch, but low-income and HSA-eligible HDHP members experienced major increases in emergency department visits for preventable acute diabetes complications.

Racial disparities in breast cancer mortality persist and are likely related to multiple factors. Over the past decade, progress has been made in treating metastatic breast cancer, particularly in younger women. Whether disparities exist in this population is unknown. Using administrative claims data between 2000 and 2011 (OptumInsight, Eden Prairie, MN) of members insured through a large national US health insurer, we identified women aged 25-64 years diagnosed with incident metastatic breast cancer diagnosed between November 1, 2000, and December 31, 2008. We examined time from diagnosis to death, with up to 3 years of follow-up. We stratified analyses by geocoded race and socio-economic status, age-at-diagnosis, morbidity score, US region of residence, urban/non-urban, and years of diagnosis. We constructed Kaplan-Meier survival plots and analyzed all-cause mortality using multivariate Cox proportional hazard models. Among 6694 women with incident metastatic breast cancer (78 % Caucasian, 4 % African American, and 18 % other), we found higher mortality rates among women residing in predominantly African American versus Caucasian neighborhoods (hazard ratio (HR) 1.84; 95 % confidence interval, CI 1.39-2.45), women with high versus lower morbidity (HR 1.30 [1.12-1.51]), and women whose incident metastatic diagnosis was during 2000-2004 versus 2005-2008 (HR 1.60 [1.39-1.83]). Caucasian (HR 0.61 [0.52-0.71]) but not African American women (HR not significant) experienced improved mortality in 2005-2008 versus 2000-2004. Despite insured status, African American women and women with multi-morbidity had poorer survival. Only Caucasian women had improved mortality over time. Modifiable risk factors for increased mortality need to be addressed in order to reduce disparities.

Objective: To assess patterns and predictors of postpartum diabetes screening in a commercially insured, geographically and sociodemographically diverse sample of women with gestational diabetes mellitus., Methods: Using commercial insurance claims (2000-2012) from all 50 states, we conducted a retrospective cohort study in 447,556 women with at least one delivery and continuous enrollment 1 year before and after delivery. We identified women with a gestational diabetes mellitus pregnancy and examined postpartum diabetes screening type and timing and performed logistic regression to identify screening predictors., Results: Gestational diabetes mellitus was diagnosed in 32,253 (7.2%) women during the study timeframe. Three fourths received no screening within 1 year postpartum. Rates of recommended 75-g oral glucose tolerance testing within 6-12 weeks were low but increased over time (27 [2%] in 2001 compared with 249 [7%] in 2011, adjusted odds ratio [OR] 3.1, 95% confidence interval [CI] 2.0-47). Among women screened, those in the Northeast (19%) and South (18%) were least likely to receive a 75-g oral glucose tolerance test within 0-12 weeks (adjusted OR 0.4 for each, CI 0.4-0.5) compared with the West (36%). Asian women were most likely to receive any screening (18%; adjusted OR 1.5, CI 1.3-1.6) compared with white women (12%). Black women were most likely to receive hemoglobin A1c (21%; adjusted OR 2.0, CI 1.3-3.2) compared with white women (11%). Antepartum antiglycemic medication (21%; adjusted OR 2.1, CI 2.0-2.3) or visit to a nutritionist-diabetes educator (19%; adjusted OR 1.6, CI 1.4-1.7) or endocrinologist (23%; adjusted OR 1.7, CI 1.6-1.9) predicted screening within 12 weeks postpartum., Conclusion: Postpartum diabetes screening remains widely underused among commercially insured women with gestational diabetes mellitus. Differences in screening by geography, race, and antepartum care can inform health system and public health interventions to increase diabetes detection in this high-risk population.

Background: Little is known about the effect of the Affordable Care Act's (ACA) elimination of out-of-pocket costs for preventive services. This policy likely reduced out-of-pocket colonoscopy costs most for high-deductible health plan (HDHP) members., Objectives: Determine the ACA's impact on colorectal cancer screening among HDHP members., Research Design: Pre-post with comparison group, constructed before and after the ACA., Subjects: We studied 2003-2012 administrative claims data of a large national health insurer. HDHP members had 1 year of low-deductible (≤$500) plan enrollment followed by 1 year of HDHP (≥$1000) enrollment after an employer-mandated switch; HDHP enrollment occurred fully after the ACA for 21,605 members and fully before the ACA for 106,609 members. We propensity score-matched contemporaneous low-deductible (≤$500) control group members to both the before-ACA and after-ACA HDHP groups. We examined the 1-year impact of the HDHP switch separately in the before-ACA and after-ACA study cohorts, then compared these changes to estimate ACA effects., Measures: Overall colorectal cancer screening, colonoscopy, and fecal-occult blood testing annual rates., Results: Before the ACA, colorectal cancer screening tests declined by 37/10,000 (-71, -4) among HDHP members versus controls; after the ACA, HDHP members experienced a nonsignificant increase in screening [+52/10,000 (-19,124)]. Corresponding changes in colonoscopy were -55/10,000 (-81, -29) before and +20/10,000 (-38, 78) after the ACA. Thus, the ACA was associated with increased colorectal cancer screening rates [+89/10,000 (11, 168); relative: +9.1% (0.5-17.8)] and screening colonoscopies [+75/10,000 (12-139); relative: +16.4% (2.5-30.3)] among HDHP members., Conclusion: The ACA was associated with improved colorectal cancer screening among HDHP members.

Objective: To evaluate the association between employer-mandated enrollment into high-deductible health plans (HDHPs) and contraception and birth rates among reproductive-age women., Data Sources/study Setting: Using data from 2002 to 2008, we examined 1,559 women continuously enrolled in a Massachusetts health plan for 1 year before and after an employer-mandated switch from an HMO to a HDHP, compared with 2,793 matched women contemporaneously enrolled in an HMO., Study Design: We used an individual-level interrupted time series with comparison series design to examine level and trend changes in clinician-provided contraceptives and a differences-in-differences design to assess annual birth rates., Data Collection/extraction Methods: Employer, plan, and member characteristics were obtained from enrollment files. Contraception and childbirth information were extracted from pharmacy and medical claims., Principal Findings: Monthly contraception rates were 19.0-24.0 percent at baseline. Level and trend changes did not differ between groups (p = .92 and p = .36, respectively). Annual birth rates declined from 57.1/1,000 to 32.7/1,000 among HDHP members and from 61.9/1,000 to 56.2/1,000 among HMO controls, a 40 percent relative reduction in odds of childbirth (odds ratio = 0.60; p = .02)., Conclusions: Women who switched to HDHPs experienced a lower birth rate, which might reflect strategies to avoid childbirth-related out-of-pocket costs under HDHPs., (© Health Research and Educational Trust.)

Mobile and smartphone (mHealth) technologies have the potential to improve diabetes care and self-management, but little is known about their effectiveness and how patients, providers, and payers currently interact with them. We conducted a systematic review and found only 20 peer-reviewed articles, published since 2010, with robust evidence about the effectiveness of mHealth interventions for diabetes. The majority of these interventions showed improvement on primary endpoints, such as HbA1c; mHealth technologies that interacted with both patients and providers were more likely to be effective. There was little evidence about persistent use by patients, use by a patient's health care provider, or long-term effectiveness. None of the studies discussed regulatory oversight of mHealth technologies or payer reimbursement for them. No robust studies evaluated the more than 1100 publicly available smartphone apps for diabetes. More research with valid study designs and longer follow-up is needed to evaluate the impact of mHealth technologies for diabetes care and self-management.

Context: Prior research suggests that mammography declined from 2000 to 2005 and that socioeconomic disparities remained wide., Objective: To assess national trends and disparities in mammography among commercially insured women from 2001 to 2010., Design, Setting, Participants: This study used a longitudinal time series design to examine mammography rates among 5.4 million US women aged 40 to 64 years from 2001 to 2010. Adjusted annual rates stratified by age group (40-49 years/50-64 years) and neighborhood-level socioeconomic characteristics including poverty and race/ethnicity were plotted. Mammography disparities were defined as the absolute percentage difference in adjusted screening rates between population subgroups in a given year. Trends in 2001-2010 screening rates and socioeconomic disparities were fitted as annual percentage changes (APCs) using join point analysis, which can determine changes in trends., Main Outcome Measure: Annual and biennial mammogram., Results: Adjusted annual mammography rates among women aged 40 to 49 years increased from 38.5% to 45.5% (0.78% APC, P < .001) over the decade. Among women aged 50 to 64 years, 2001-2004 rates decreased from 49.7% to 47.4% (-0.78% APC, P = .035) and then increased to 51.8% by 2010 (APC of 0.80%, P < .001). Women aged 40 to 49 years had an unchanged high-low neighborhood poverty screening disparity of 11.0% over the decade (APC -0.05%, P = .508). The estimated white-black disparity decreased from 9.6% to 7.7% from 2001 to 2010 (-0.21% APC, P = .042). The white-Hispanic disparity decreased from 9.6% to 6.2% between 2001 and 2003 (APC -1.69%, P = .143) and then to 5.3% by 2010 (APC -0.14%, P = .343). Among women aged 50 to 64 years, estimated high-low poverty and white-black disparities declined (11.0%-9.5% [-0.16% APC, P = .026] and 8.6%-6.3% [-0.26% APC, P = .008], respectively) while the white-Hispanic disparity decreased from 14.9% to 5.4% between 2001 and 2003 (-4.77% APC, P = .023) and was 6.5% by 2010., Conclusions: Mammography increased among women aged 40 to 49 years from 2001 to 2010 and after 2004 among women aged 50 to 64 years. Women from black and Hispanic neighborhoods experienced reduced disparities, but disparities by poverty level changed little.

Importance: There is conflicting evidence about how different bariatric procedures impact health care use., Objective: To compare the impact of laparoscopic adjustable gastric banding (AGB) and laparoscopic Roux-en-Y gastric bypass (RYGB) on health care use and costs., Design, Setting, and Participants: Retrospective interrupted time series with comparison series study using a national claims data set. The data analysis was initiated in September 2011 and completed in January 2015. We identified bariatric surgery patients aged 18 to 64 years who underwent a first AGB or RYGB between 2005 and 2011. We propensity score matched 4935 AGB to 4935 RYGB patients according to baseline age group, sex, race/ethnicity, socioeconomic variables, comorbidities, year of procedure and baseline costs, emergency department (ED) visits, and hospital days. Median postoperative follow-up time was 2.5 years., Main Outcomes and Measures: Quarterly and yearly total health care costs, ED visits, hospital days, and prescription drug costs. We used segmented regression to compare pre-to-post changes in level and trend of these measures in the AGB vs the RYGB groups and difference-in-differences analysis to estimate the magnitude of difference by year., Results: Both AGB and RYGB were associated with downward trends in costs; however, by year 3, AGB patients had total annual costs that were 16% higher than RYGB patients (P < .001; absolute change: $818; 95% CI, $278 to $1357). In postoperative years 1 and 2, AGB was associated with 27% to 29% fewer ED visits than RYGB (P < .001; absolute changes: -0.6; 95% CI, -0.9 to -0.4 and -0.4; 95% CI, -0.6 to -0.1 visits/person, respectively); however, by year 3, there were no detectable differences. Postoperative annual hospital days were not significantly different between the groups. Although both procedures lowered prescription costs, annual postoperative prescription costs were 17% to 32% higher for AGB patients than RYGB patients (P < .001)., Conclusions and Relevance: Both laparoscopic AGB and RYGB were associated with flattened total health care cost trajectories but RYGB patients experienced lower total and prescription costs by 3 years postsurgery. On the other hand, RYGB was associated with increased ED visits in the 2 years after surgery. Clinicians and policymakers should weigh such differences in use and costs when making recommendations or shaping regulatory guidance about these procedures.

Purpose: Characterize trends in opioid prescribing and co-prescribing of sedative hypnotics at acute and chronic musculoskeletal pain visits from 2001 to 2010., Methods: We conducted a repeated cross-sectional analysis of 15 344 visits for acute pain and 19 958 visits for chronic pain in the National Ambulatory Medical Care Survey/National Hospital Ambulatory Medical Care Survey from 2001 to 2010. The primary outcome was receipt of an opioid, and secondary outcomes were co-prescribing of a benzodiazepine or sedative hypnotic (benzodiazepine, muscle relaxant, or insomnia medications). We used multivariable logistic regression to assess temporal trends., Results: Between 2001 and 2010, opioid prescribing at acute and chronic musculoskeletal pain visits increased by 50% (10.4% [95%CI 7.9-12.9%] to 15.6% [95%CI 12.5-18.6%]) and 79% (12.9% [95%CI 9.7-16.0%] to 23.1% [95%CI 18.3-27.9%]), respectively. For chronic pain visits, opioid prescribing plateaued between 2006 and 2010, and spline analysis detected a possible 2007 peak at 28.2% (95%CI 21.4-34.9%) of visits. Benzodiazepines were co-prescribed with opioids at 8.1% (95%CI 6.0-10.1%) of acute pain visits and 15.5% (95%CI 12.8-18.2%) of chronic pain visits. Sedative hypnotics were co-prescribed at 32.7% (95%CI 28.9-36.5%) of acute pain visits and 36.1% (95%CI 32.5-39.8%) of chronic pain visits. We found no evidence for decreased co-prescribing of opioids and sedative hypnotics by any of our measures., Conclusions: Opioid prescribing for acute and chronic musculoskeletal pain increased from 2001 to 2010, plateauing from 2006 to 2010 for chronic pain visits. Co-prescribing of opioids and sedative hypnotics is common and may represent a target for interventions to improve the safety of opioid prescribing., (Copyright © 2015 John Wiley & Sons, Ltd.)

The high prevalence and costs of type 2 diabetes makes it a rapidly evolving focus of policy action. Health systems, employers, community organizations, and public agencies have increasingly looked to translate the benefits of promising research interventions into innovative policies intended to prevent or control diabetes. Though guided by research, these health policies provide no guarantee of effectiveness and may have opportunity costs or unintended consequences. Natural experiments use pragmatic and available data sources to compare specific policies to other policy alternatives or predictions of what would likely have happened in the absence of any intervention. The Natural Experiments for Translation in Diabetes (NEXT-D) Study is a network of academic, community, industry, and policy partners, collaborating to advance the methods and practice of natural experimental research, with a shared aim of identifying and prioritizing the best policies to prevent and control diabetes. This manuscript describes the NEXT-D Study group's multi-sector natural experiments in areas of diabetes prevention or control as case examples to illustrate the selection, design, analysis, and challenges inherent to natural experimental study approaches to inform development or evaluation of health policies., (Copyright © 2015 American Journal of Preventive Medicine. All rights reserved.)

Importance: In the second half of 2010, abuse-deterrent extended-release oxycodone hydrochloride (OxyContin; Purdue Pharma) was introduced and propoxyphene was withdrawn from the US market. The effect of these pharmaceutical market changes on opioid dispensing and overdose rates is unknown., Objective: To evaluate the association between 2 temporally proximate changes in the opioid market and opioid dispensing and overdose rates., Design, Setting, and Participants: Claims from a large national US health insurer were analyzed, using an interrupted time series study design. Participants included an open cohort of 31.3 million commercially insured members aged 18 to 64 years between January 1, 2003, and December 31, 2012, with median follow-up of 20 months (last follow-up, December 31, 2012)., Exposures: Introduction of abuse-deterrent OxyContin (resistant to crushing or dissolving) on August 9, 2010, and market withdrawal of propoxyphene on November 19, 2010., Main Outcomes and Measures: Standardized opioid dispensing rates and prescription opioid and heroin overdose rates were the primary outcomes. We used segmented regression to analyze changes in outcomes from 30 quarters before to 8 quarters after the 2 interventions., Results: Two years after the opioid market changes, total opioid dispensing decreased by 19% from the expected rate (absolute change, -32.2 mg morphine-equivalent dose per member per quarter [95% CI, -38.1 to -26.3]). By opioid subtype, the absolute change in dispensing by milligrams of morphine-equivalent dose per member per quarter at 2 years was -11.3 (95% CI, -12.4 to -10.1) for extended-release oxycodone, 3.26 (95% CI, 1.40 to 5.12) for other long-acting opioids, -8.19 (95% CI, -9.30 to -7.08) for propoxyphene, and -16.2 (95% CI, -18.8 to -13.5) for other immediate-release opioids. Two years after the market changes, the estimated overdose rate attributed to prescription opioids decreased by 20% (absolute change, -1.10 per 100,000 members per quarter [95% CI, -1.47 to -0.74]), but heroin overdose increased by 23% (absolute change, 0.26 per 100,000 members per quarter [95% CI, -0.01 to 0.53])., Conclusions and Relevance: Opioid dispensing and prescription opioid overdoses decreased substantially after 2 major changes in the pharmaceutical market in late 2010. Pharmaceutical market interventions may have value in combatting the prescription opioid overdose epidemic, but heroin overdose rates continue to increase. Complementary strategies to identify and treat opioid abuse and addiction are urgently needed.

Purpose: In November 2009, the US Preventive Services Task Force (USPSTF) changed its mammography recommendations from every 1 to 2 years among women age ≥ 40 years to personalized screening decisions for women age 40 to 49 years and screening every 2 years for women age 50 to 74 years., Methods: We studied mammography trends among 5.5 million women age 40 to 64 years enrolled in a large national health insurer. We used 2005 to 2009 mammography trends to predict 2012 rates. Our primary measure was the estimated difference between observed and predicted 2012 annual and biennial mammography rates. We stratified results by age group and race/ethnicity., Results: Among women age 40 to 49 years, 2012 mammography rates declined by 9.9% (95% CI, -10.4% to -9.3%) relative to the predicted 2012 rate. Decreases were lowest among black women (-2.3%; 95% CI, -6.3% to 1.8%) and highest among Asian women (-17.4; 95% CI, -20.0 to -14.8). Annual mammography rates among women age 50 to 64 years declined by 6.1% (95% CI, -6.5% to -5.7%) by 2012. Regarding biennial mammography rates, women age 40 to 49 years experienced a 9.0% relative reduction (95% CI, -9.6% to -8.4%). White, Hispanic, and Asian women age 40 to 49 years demonstrated similar relative reductions of approximately 9% to 11%, whereas black women had no detectable changes (0.1%; 95% CI, -4.0% to 4.3%). Women age 50 to 64 years had a 6.2% relative reduction (95% CI, -6.6% to -5.7%) in biennial mammography that was similar among white, Hispanic, and Asian women. Black women age 50 to 64 years did not have changes in biennial mammography (0.4%; 95% CI, -2.6% to 3.5%)., Conclusion: Three years after publication of the 2009 USPSTF guidelines, mammography rates declined by 6% to 17% among white, Hispanic, and Asian women but not among black women. Small reductions in biennial mammography might be an unintended consequence of the updated guidelines., (© 2015 by American Society of Clinical Oncology.)

Objective: To determine whether Massachusetts Health Reform improved health outcomes in uninsured patients with hyperlipidemia, diabetes, or hypertension., Data Source: Partners HealthCare Research Patient Data Registry (RPDR)., Study Design: We examined 1,463 patients with hyperlipidemia, diabetes, or hypertension who were uninsured in the 3 years before the 2006 Massachusetts Health Reform implementation. We assessed mean quarterly total cholesterol, glycosylated hemoglobin, and systolic blood pressure in the respective cohorts for five follow-up years compared with 3,448 propensity score-matched controls who remained insured for the full 8-year study period. We used person-level interrupted time series analysis to estimate changes in outcomes adjusting for sex, age, race, estimated household income, and comorbidity. We also analyzed the subgroups of uninsured patients with poorly controlled disease at baseline, no evidence of established primary care in the baseline period, and those who received insurance in the first follow-up year., Principal Findings: In 5 years after Massachusetts Health Reform, patients who were uninsured at baseline did not experience detectable trend changes in total cholesterol (-0.39 mg/dl per quarter, 95 percent confidence interval [-1.11 to 0.33]), glycosylated hemoglobin (-0.02 percent per quarter [-0.06 to 0.03]), or systolic blood pressure (-0.06 mmHg per quarter [-0.29 to 0.18]). Analyses of uninsured patients with poorly controlled disease, no evidence of established primary care in the baseline period, and those who received insurance in the first follow-up year yielded similar findings., Conclusions: Massachusetts Health Reform was not associated with improvements in hyperlipidemia, diabetes, or hypertension control after 5 years. Interventions beyond insurance coverage might be needed to improve the health of chronically ill uninsured persons., (© Health Research and Educational Trust.)

Background: Previous surveys reported declining cervical cancer screening rates from 2000 to 2010, but trends by key demographic and age groups are less clear., Methods: We examined 3-year Papanicolaou (Pap) test rates among 4.2 million women enrolled in a large national health plan during 2001 to 2010. We calculated and plotted adjusted 3-year rates stratified by age and key neighborhood-level socioeconomic characteristics including poverty level and race/ethnicity (white, black, Hispanic, and mixed ethnicity neighborhood). We fitted trends in 2001-2010 screening rates and socioeconomic disparities as annual percentage changes (APC) using joinpoint analysis., Results: Women ages 21 to 29 years had estimated 3-year Pap testing rates of 81.3% to 81.4% over the decade. Estimated disparities by low-high poverty level were 3.1% and 2.0% in 2001-2003 and 2008-2010, respectively, a nonsignificant decline. Initial white-black disparities were 4.0% and declined significantly from 2005-2007 to 2008-2010 to 2.8% at an APC of -0.65% (P = 0.021). White-Hispanic disparities declined from 4.3% to 0.8% over the decade, a -0.50% APC (P = 0.024). Among women ages 30 to 64 years, estimated 3-year Pap testing rates trended down from 76.1% to 71.8% over the decade [-0.94% APC (P < 0.001) until 2005-2007]. This pattern was similar among women from most categories of poverty and race/ethnicity., Conclusions: Among commercially insured women ages 21 to 29 years, 3-year Pap testing rates remained stable at 81% over the decade; disparities were small and improved for Hispanic women to a greater degree than for black women. Among women ages 30 to 64 years, 3-year Pap testing rates declined from 2001 to 2010., Impact: Cervical cancer screening should be promoted to achieve Healthy People 2020 goals., (©2014 American Association for Cancer Research.)

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.

Background: Prior studies show that men are more likely than women to defer essential care. Enrollment in high-deductible health plans (HDHPs) could exacerbate this tendency, but sex-specific responses to HDHPs have not been assessed. We measured the impact of an HDHP separately for men and women., Methods: Controlled longitudinal difference-in-differences analysis of low, intermediate, and high severity emergency department (ED) visits and hospitalizations among 6007 men and 6530 women for 1 year before and up to 2 years after their employers mandated a switch from a traditional health maintenance organization plan to an HDHP, compared with contemporaneous controls (18,433 men and 19,178 women) who remained in an health maintenance organization plan., Results: In the year following transition to an HDHP, men substantially reduced ED visits at all severity levels relative to controls (changes in low, intermediate, and high severity visits of -21.5% [-37.9 to -5.2], -21.6% [-37.4 to -5.7], and -34.4% [-62.1 to -6.7], respectively). Female HDHP members selectively reduced low severity emergency visits (-26.9% [-40.8 to -13.0]) while preserving intermediate and high severity visits. Male HDHP members also experienced a 24.2% [-45.3 to -3.1] relative decline in hospitalizations in year 1, followed by a 30.1% [2.1 to 58.1] relative increase in hospitalizations between years 1 and 2., Conclusions: Initial across-the-board reductions in ED and hospital care followed by increased hospitalizations imply that men may have foregone needed care following an HDHP transition. Clinicians caring for patients with HDHPs should be aware of sex differences in response to benefit design.

One-third of US workers now have high-deductible health plans, and those numbers are expected to grow in 2014 as implementation of the Affordable Care Act continues. There is concern that high-deductible health plans might cause enrollees of low socioeconomic status to forgo emergency care as a result of burdensome out-of-pocket costs. We analyzed emergency department (ED) visits and hospitalizations over two years among enrollees insured in high-deductible plans through small employers in Massachusetts. We found that plan members of low socioeconomic status experienced 25-30 percent reductions in high-severity ED visits over both years, while hospitalizations declined by 23 percent in year 1 but rose again in year 2. Similar trends were not found among high-deductible plan members of high socioeconomic status. Our findings suggest that plan members of low socioeconomic status at small firms responded inappropriately to high-deductible plans and that initial reductions in high-severity ED visits might have increased the need for subsequent hospitalizations. Policy makers and employers should consider proactive strategies to educate high-deductible plan members about their benefit structures or identify members at higher risk of avoiding needed care. They should also consider implementing means-based deductibles.