Trends in Out-of-Pocket Costs for and Characteristics of Pharmacy-Dispensed Naloxone by Payer Type.

This study examines mean yearly out-of-pocket cost for naloxone dispensed from retail pharmacies by payer between 2018 and 2022 and by prescription characteristics and payer in 2022.

Effects of Georgia's Medicaid Family Planning Waiver on Pregnancy Characteristics and Birth Outcomes.

INTRODUCTION: Medicaid family planning waivers can increase access to health care services and have been associated with lower rates of unintended pregnancy, which is associated with a higher risk of negative birth outcomes such as preterm birth and low birthweight. The objective of this study was to test the effect of Georgia's Medicaid family planning waiver, Planning for Healthy Babies (P4HB), on pregnancy characteristics and birth outcomes. MATERIALS AND METHODS: We used the Pregnancy Risk Assessment Monitoring System (PRAMS) survey data in pre- (2008-2009) and two post-periods (2012-2013; 2017-2019). We identified those likely eligible for P4HB in Georgia (n = 1,967) and 10 comparison states (n = 13,449) and tested for effects using state and year fixed effects difference-in-differences modeling. RESULTS: P4HB was associated with a 13.3 percentage-point (pp) decrease in unintended pregnancy in the immediate post-period (p < .01) and an 11.4 pp decrease in the later post-period (p < .05). For the immediate post-period, P4HB was also associated with a 29.2 pp increase in the probability of prepregnancy contraception (p < .001) and a 1.1 pp decrease in the probability of a very low birthweight (VLBW) birth (p < .01). The reduction in VLBW birth was significant for non-Hispanic Black mothers (-3.9 pp; p < .05) but not for mothers of other races/ethnicities. DISCUSSION: Medicaid family planning waivers are an important structural policy intervention that can improve reproductive health care, particularly in states without Medicaid expansion. These waivers may also help address long-standing racial/ethnic disparities in access to reproductive health care and, potentially, adverse pregnancy and birth outcomes. However, the initial increase in pregnancies among people using contraception indicates that care must be taken to ensure that recipients have access to effective methods of contraception and receive counseling on effective use in order to avoid unintended consequences as more individuals try to prevent a pregnancy.

Trends in Out-of-Pocket Costs for and Characteristics of Pharmacy-Dispensed Buprenorphine Medications for Opioid Use Disorder Treatment by Type of Payer, 2015 to 2020.

Importance: Buprenorphine has been approved for opioid use disorder treatment, yet remains underutilized. Cost may present a barrier; little is known about how out-of-pocket costs vary. Objective: To determine if out-of-pocket costs and prescription characteristics for buprenorphine varied by type of payer. Design, Setting, and Participants: This cross-sectional study used all-payer data on retail pharmacy-dispensed buprenorphine prescriptions from January 1, 2015, through December 31, 2020, for adults (aged ≥18 years) in the US, excluding formulations primarily used to treat pain. Data were analyzed from July 2021 to June 2022. Exposures: Type of payer (private and commercial, self-pay, Medicaid, Medicare, assistance, and unknown) for dispensed prescription. Main Outcomes and Measures: All outcomes are prescription-level. Mean and median daily out-of-pocket costs were calculated overall and by payer type. Prescription characteristics (days supplied, patient age and sex, generic vs name brand formulations, and prescriber's location) were examined by payer type. Results: Although mean daily out-of-pocket costs decreased overall from $4.79 (95% CI, $4.79-$4.80) in 2015 (7 375 508 prescriptions) to $1.91 (95% CI, $1.90-$1.91) in 2020 (13 486 822 prescriptions), out-of-pocket costs continued to vary by payer in 2020. Medicaid had the lowest mean daily out-of-pocket cost across all years-$0.18 (95% CI, $0.18-$0.18) in 2015, and $0.10 (95% CI, $0.10-$0.10) in 2020. Private and commercial paid prescriptions fell from $4.80 (95% CI, $4.79-$4.81) per day in 2015 to $1.82 (95% CI, $1.82-$1.83) in 2020. Self-pay and assistance categories had the highest mean daily out-of-pocket costs across study years ($9.76 [95% CI, $9.74-$9.78] and $8.72 [95% CI, $8.71-$8.73], respectively, in 2015; $8.44 [95% CI, $8.43-$8.46] and $6.31 [95% CI, $6.30-$6.31], respectively, in 2020). Medicaid paid prescriptions had a mean supply of 15.59 days (95% CI, 15.58-15.59 days) and the lowest percentage of generic prescriptions (57.88%; 95% CI, 57.84%-57.92%). Out-of-pocket cost varied by prescriber location and patient characteristics; mean costs were highest for prescriptions written in the South ($2.91; 95% CI, $2.90-$2.91), metropolitan counties ($1.93; 95% CI, $1.93-$1.93), and for individuals aged 35 to 44 years ($2.10; 95% CI, $2.09-$2.10). Conclusions and Relevance: This cross-sectional study found that mean daily out-of-pocket costs for buprenorphine were lower in 2020 than in 2015, but variation by payer existed in all study years. Financial barriers to accessing and maintaining buprenorphine for opioid use disorder treatment may exist and differ by type of prescription coverage. Future research could monitor costs and identify potential barriers that may impact access and retention in care.

Racial‒Ethnic Disparities of Buprenorphine and Vivitrol Receipt in Medicaid.

INTRODUCTION: Expanding access to medications for opioid use disorder is a cornerstone to addressing the opioid overdose epidemic. However, recent research suggests that the distribution of medications for opioid use disorder has been inequitable. This study analyzes the racial‒ethnic disparities in the receipt of medications for opioid use disorder among Medicaid patients diagnosed with opioid use disorder. METHODS: Medicaid claims data from the Transformed Medicaid Statistical Information System for the years 2017-2019 were used for the analysis. Logistic regression models estimated the odds of receiving buprenorphine and Vivitrol within 180 days after initial opioid use disorder diagnosis on the basis of race‒ethnicity. Analysis was conducted in 2022. RESULTS: Non-Hispanic Black people, non-Hispanic American Indian or Alaskan Native/Asian/Hawaiian/Pacific Islander people, and Hispanic people had 42%, 12%, and 22% lower odds of buprenorphine receipt and 47%, 12%, and 20% lower odds of Vivitrol receipt, respectively, than non-Hispanic White people, controlling for clinical and demographic patient variables. CONCLUSIONS: This study suggests that there are racial‒ethnic disparities in the receipt of buprenorphine and Vivitrol among Medicaid patients diagnosed with opioid use disorder after adjusting for demographic, geographic, and clinical characteristics. The potential strategies to address these disparities include expanding the workforce of providers who can prescribe medications for opioid use disorder in low-income communities and communities of color and allocating resources to address the stigma in medications for opioid use disorder treatment.

Evaluating opioid analgesic prescribing limits: A narrative review.

PURPOSE: In response to the opioid crisis, opioid analgesic guidelines and prescribing limits have proliferated. The purpose of this narrative review is to examine evidence from studies evaluating the patient or public health impact of federal and state opioid analgesic prescribing guidelines and laws, describe gaps and challenges in current research, and highlight opportunities for improving future research. METHODS: We focused on evidence from a literature review covering 2013 through 2019. We identified 30 studies evaluating opioid analgesic thresholds based on federal policies and guidelines, state laws, and Medicaid state plans that attempt to influence the course of patient care at or when the limit is exceeded (e.g., prior authorization). RESULTS: Most studies evaluated changes in prescribing or dispensing patterns of opioid analgesics, largely finding decreases in prescribing after policy enactment. Fewer studies evaluated patient or public health outcomes beyond changes in prescribing and dispensing patterns; results were infrequently stratified by potentially important sociodemographic and clinical factors. No studies assessed the potential for adverse patient outcomes for which we have emerging evidence of harms. CONCLUSIONS: We describe knowledge gaps and propose opportunities for future research to sufficiently assess the potential impact and unintended consequences of opioid analgesic prescribing laws, regulations, guidelines, and policies.

Trends in State-Level Pharmacy-Based Naloxone Dispensing Rates, 2012-2019.

INTRODUCTION: Improving access to naloxone is an important public health strategy in the U.S. This study examines the state-level trends in naloxone dispensing from 2012 to 2019 for all 50 states and the District of Columbia. METHODS: Data from IQVIA Xponent were used to examine the trends and geographic inequality in annual naloxone dispensing rates and the number of naloxone prescriptions dispensed per high-dose opioid prescription from 2012 to 2019 and from 2016 to 2019 to correspond with the Centers for Disease Control and Prevention Guideline for Prescribing Opioids for Chronic Pain release. Annual percentage change was estimated using linear regression. Analyses were conducted in 2020. RESULTS: Naloxone dispensing rates and the number of naloxone prescriptions per 100 high-dose opioid prescriptions increased from 2012 to 2019 across all states and the District of Columbia. Average state-level naloxone dispensing rates increased from 0.55 per 100,000 population in 2012 to 45.60 in 2016 and 292.31 in 2019. Similarly, the average number of naloxone prescriptions per 100 high-dose opioid prescriptions increased from 0.002 in 2012 to 0.24 in 2016 and 3.04 in 2019. Across both measures of naloxone dispensing, the geographic inequality gap increased during the study period. In 2019, the number of naloxone prescriptions dispensed per 100 high-dose opioid prescriptions ranged from 1.04 to 16.64 across states. CONCLUSIONS: Despite increases in naloxone dispensing across all states, dispensing rates remain low, with substantial variation and increasing disparities over time at the state level. This information may be helpful in efforts to improve naloxone access and in designing state-specific intervention programs.

Changes in Initial Opioid Prescribing Practices After the 2016 Release of the CDC Guideline for Prescribing Opioids for Chronic Pain.

Importance: The Centers for Disease Control and Prevention (CDC) released the "Guideline For Prescribing Opioids For Chronic Pain" (hereafter, CDC guideline) in 2016, but its association with prescribing practices for patients who are opioid naive is unknown. Objective: To estimate changes in initial prescribing rates, duration, and dosage practices to patients who are opioid naive after the release of the CDC guideline. Design, Setting, and Participants: This cohort study used 6 sequential cohorts to estimate preguideline trends in prescribing among patients who were opioid naive, project that trend forward, and compare it with postguideline prescribing practices. Participants included commercially insured adults without current cancer or hospice care diagnoses and with no past-year opioid claims in the US from 2011 to 2017. All adjusted models were controlled for patient demographics and state-fixed effects. Data were analyzed from January 2020 to May 2021. Exposures: The release of the CDC guideline. Main Outcomes and Measures: Indicators of any opioid prescription fills during a 9-month period, the number of days' supply of the initial prescription, and the binary indicator of whether the initial prescription was for 50 or more morphine milligram equivalents (MMEs) per day. Results: There were 12 870 612 eligible unique patients across cohorts (mean [SD] age in 2016, 51.2 [18.7] years; 6 553 458 [50.9%] women); and the mean (SD) age of the cohorts increased annually, from 48.7 (17.9) years in the April 2011 to December 2012 cohort to 51.9 (19.2) years in the April 2016 to December 2017 cohort. The postguideline prescribing prevalence was 532 962 of 5 834 088 individuals (9.1%), which exceeded that projected from the preguideline trend, estimated at 9.0% (95% CI, 9.0%-9.1%). Among patients receiving prescriptions during follow-up, adjusted mean days' supply was 4.7% (95% CI, 4.3%-5.1%) lower in the first year after release of the guideline and 9.8% (95% CI, 9.3%-10.3%) lower in the second year after release, compared with the expected rate from the preguideline trend. The adjusted odds of receiving a high-dose (ie, ≥50 MME/d) initial prescription were lower in the first year (odds ratio, 0.97; 95% CI, 0.96-0.98) and in the second year (odds ratio, 0.94; 95% CI, 0.93-0.96) after the release of the CDC guideline compared with the odds expected from the preguideline trend. Conclusions and Relevance: This cohort study found that patients who were opioid naive continued to initiate opioid therapy after the release of opioid prescribing guidelines by the CDC, but trends in prescribing duration reversed and decreased, after increasing in each of 4 preguideline cohorts examined. High-dose prescribing rates were already decreasing, but those trends accelerated after the CDC guideline release. These results suggest that nonmandatory, evidence-based guidelines from trusted sources were associated with prescribing practices. Guideline-concordant care has potential to improve pain management and reduce opioid-related harms.

Congruence of opioid prescriptions and dispensing using electronic records and claims data.

OBJECTIVE: To quantify discrepancies between opioid prescribing and dispensing via the percentage of patients with Electronic Medical Record (EMR) prescriptions who subsequently filled the prescription within 90 days, defined as congruence, and compared opioid congruence with related medications. DATA SOURCES: Deidentified data from the IBM MarketScan Explorys Claims-EMR Dataset. STUDY DESIGN: In this retrospective, observational study, we examined congruence for commonly prescribed controlled substances-opioids, stimulants, and benzodiazepines. Congruence was stratified by age group and sex. DATA COLLECTION/EXTRACTION METHODS: Continuously enrolled adults aged 18-64 years with an EMR encounter (excluding inpatient settings) and ≥ 1 prescription for selected classes between 1/1/2016 and 10/2/2017. PRINCIPAL FINDINGS: During the study period, 1,353,478 adults had ≥1 EMR encounter. Patients with stimulants prescriptions had the highest congruence (83%) corresponding to 7151 claims for 8,635 EMR prescriptions, followed by opioids (66%; 62,766/95,690) and benzodiazepines (64%; 30,181/47,408). Chi-square testing showed congruence differed by age group within opioids (P < .0001) and benzodiazepines (P < .0001) and was higher among females within benzodiazepines (P < .0001). CONCLUSIONS: These findings demonstrate that relying on claims data alone for opioid prescribing measures might underestimate actual prescribing magnitude by as much as one-third in these data. Combined EMR and claims data can help future research better understand characteristics associated with congruence or incongruence between prescribing and dispensing.

Association between county-level sociodemographic characteristics and county-level differences in opioid dispensing.

BACKGROUND: While overall opioid prescribing has been decreasing in the United States, the rates of prescribing at the county level have been variable. Previous studies show that social determinants of health (the social and economic conditions in which we live) may play a role in opioid prescribing; however, researchers have not examined this relationship across US counties. This cross-sectional study seeks to determine whether county-level sociodemographic characteristics (e.g., economic, housing, social environment, healthcare environment, and population characteristics) are associated with county level differences in opioid dispensing. METHODS: Data from 2,881 counties in the United States from 2017 to 2018 were used for this study. Opioid dispensing was measured using morphine milligram equivalents (MME) per capita. Spatial error models were used to measure the association between county-level sociodemographic characteristics and MME per capita while adjusting for spatial correlation between neighboring counties. RESULTS: In the adjusted model, counties with a higher percentage of people below the poverty line, with less than a 4-year college degree, and without health insurance were associated with higher MME dispensed per capita, as were counties with higher percentages of families headed by a single parent, persons separated or divorced, and those with disabilities. Conversely, minority race/ethnicity and rural population were associated with lower opioid dispensing. CONCLUSIONS: County-level sociodemographics can differ in their association with opioid dispensing, hence examining which county-level factors help in improving opioid prescribing, and implementing overdose prevention strategies that tackle these factors is important.

Association Between State Policies on Improving Opioid Prescribing in 2 States and Opioid Overdose Rates Among Reproductive-aged Women.

BACKGROUND: The opioid overdose epidemic has been declared a public health emergency. Women are more likely than men to be prescribed opioid medications. Some states have adopted policies to improve opioid prescribing, including prescription drug monitoring programs (PDMPs) and pain clinic laws. OBJECTIVE: Among reproductive-aged women, we examined the association of mandatory use laws for PDMPs in Kentucky (concurrent with a pain clinic law) and New York with overdose involving prescription opioids or heroin and opioid use disorder (OUD). STUDY DESIGN, SUBJECTS, AND OUTCOME MEASURES: We conducted interrupted time series analyses estimating outcome changes after policy implementation in Kentucky and New York, compared with geographically close states without these policies (comparison states), using 2010-2014 State Inpatient and State Emergency Department Databases. Outcomes included rates of inpatient discharges and emergency department visits for overdoses involving prescription opioids or heroin and OUD among reproductive-aged women. RESULTS: Relative to comparison states, following Kentucky's policy change, we found an immediate postpolicy decrease and a decreasing trend in the rate of overdoses involving prescription opioids, an immediate postpolicy increase in the rate of overdoses involving heroin, and a decreasing trend in the OUD rate (P<0.01); New York's policy change was not associated with the assessed outcomes. CONCLUSIONS: PDMPs and pain clinic laws, such as those implemented in Kentucky, may be promising strategies to reduce the adverse impacts of high-risk opioid prescribing among reproductive-aged women. As states continue efforts to improve inappropriate opioid prescribing, similar strategies as those adopted in Kentucky merit consideration.

Treatment cost and access to care: experiences of young women diagnosed with breast cancer.

PURPOSE: Breast cancer is the leading cause of cancer-related deaths in women younger than 40 years. We aim to evaluate cost as a barrier to care among female breast cancer patients diagnosed between 18 to 39 years. METHODS: In early 2017, we distributed a survey to women diagnosed with breast cancer between the ages of 18 and 39 years, as identified by the central cancer registries of California, Georgia, North Carolina, and Florida. We used multivariable statistics to explore cost-related barriers to receiving breast cancer care for the 830 women that completed the survey. RESULTS: About half of the women (47.4%) reported spending more on breast cancer care than expected, and almost two-thirds (65.3%) had not discussed costs with their care team. A third of the patients (31.8%) indicated forgoing care due to cost. Factors associated with not receiving anticipated care due to cost included age less than35 years at diagnosis, self-insurance, comorbid conditions, and late-stage diagnosis. CONCLUSION: Previous studies using breast cancer registry data have not included detailed insurance information and care received by young women. Young women with breast cancer frequently forgo breast cancer care due to cost. Our results highlight the potential for policies that facilitate optimal care for young breast cancer patients which could include the provision of comprehensive insurance coverage.

Opioid dispensing among adult Medicaid enrollees by diabetes status.

OBJECTIVE: Diabetes disproportionately affects low-income individuals, many of whom are covered by Medicaid. Comorbidities and complications of diabetes can lead to chronic pain; however, little is known about opioid use patterns among Medicaid enrollees with diabetes. This study examined opioid dispensing among Medicaid enrollees by diabetes status. METHODS: Medicaid claims data from 2014 were used to examine opioid dispensing by diabetes status among 622,992 adult enrollees aged 19-64 years. A logistic model adjusting for demographics and comorbidities was used to examine the association between diabetes and opioid dispensing among enrollees. Analyses were completed in 2019. RESULTS: Overall, 61.6% of enrollees with diabetes filled at least one opioid prescription compared to 31.8% of enrollees without diabetes. A higher proportion of enrollees with diabetes had long-term opioid prescriptions (>90 days' supply) (with diabetes: 51.0% vs. without: 32.1%, p < .001). Characteristics of individual prescriptions, including daily morphine milligram equivalents (45.9 vs. 49.4), formulation (percent short-acting: 91.5% vs. 90.7%), and type of opioids (i.e. percent hydrocodone: 46.7 vs. 45.3), were similar for those with and without diabetes. After adjustment, enrollees with diabetes were 1.43 times more likely to receive an opioid prescription compared to those without (95% CI, 1.40-1.46). CONCLUSIONS: Medicaid enrollees with diabetes were prescribed opioids more frequently and were more likely to have longer opioid supply than enrollees without diabetes. For practitioners who care for patients with diabetes, aligning pain management approaches with evidence-based resources, like the CDC Guideline for Prescribing Opioids for Chronic Pain, can encourage safer opioid prescribing practices.

Insurance Coverage, Employment Status, and Financial Well-Being of Young Women Diagnosed with Breast Cancer.

BACKGROUND: The economic cost of breast cancer is a major personal and public health problem in the United States. This study aims to evaluate the insurance, employment, and financial experiences of young female breast cancer survivors and to assess factors associated with financial decline. METHODS: We recruited 830 women under 40 years of age diagnosed with breast cancer between January 2013 and December 2014. The study population was identified through California, Florida, Georgia, and North Carolina population-based cancer registries. The cross-sectional survey was fielded in 2017 and included questions on demographics, insurance, employment, out-of-pocket costs, and financial well-being. We present descriptive statistics and multivariate analysis to assess factors associated with financial decline. RESULTS: Although 92.5% of the respondents were continuously insured over the past 12 months, 9.5% paid a "higher price than expected" for coverage. Common concerns among the 73.4% of respondents who were employed at diagnosis included increased paid (55.1%) or unpaid (47.3%) time off, suffering job performance (23.2%), and staying at (30.2%) or avoiding changing (23.5%) jobs for health insurance purposes. Overall, 47.0% experienced financial decline due to treatment-related costs. Patients with some college education, multiple comorbidities, late stage diagnoses, and self-funded insurance were most vulnerable. CONCLUSIONS: The breast cancer diagnosis created financial hardship for half the respondents and led to myriad challenges in maintaining employment. Employment decisions were heavily influenced by the need to maintain health insurance coverage. IMPACT: This study finds that a breast cancer diagnosis in young women can result in employment disruption and financial decline.

Variation in Adult Outpatient Opioid Prescription Dispensing by Age and Sex - United States, 2008-2018.

In 2017, prescription opioids were involved in 36% of opioid-involved overdose deaths in the United States (1). Prescription opioids can be obtained by prescription or through diversion (the channeling of regulated drugs from legal to illegal sources) (2). Among new heroin users, 66%-83% reported that their opioid use began with the misuse of a prescription opioid (3). "Misuse" is generally defined as drugs taken for a purpose other than that directed by the prescribing physician, in greater amounts, more often, or for a longer duration than prescribed (2). Exposure to prescription opioids can be lessened by ensuring recommended prescribing, thereby potentially reducing the risk for misuse, opioid use disorder, and overdose (4). Sex and age groups with high exposure to prescription opioids are not well defined. Using a retail pharmaceutical database from IQVIA,* nationwide trends in opioid prescription fill rates for adult outpatients by age and sex were examined during 2008-2018. Opioid prescription fill rates were disproportionately higher among men and women aged ≥65 years and women of all ages. For reasons not well understood, these disparities persisted over 11 years even as the opioid fill rate declined for each age group and sex. Interventions to improve prescribing practices by following evidence-based guidelines that include weighing the benefits and risks for using prescription opioids for each patient and adopting a multimodal approach to pain management could improve patient safety while ameliorating pain. These efforts might need to consider the unique needs of women and older adults, who have the highest opioid prescription fill rates.

Association of Indoor Tanning Regulations With Health and Economic Outcomes in North America and Europe.

Importance: UV radiation emissions from indoor tanning devices are carcinogenic. Regulatory actions may be associated with reduced exposure of UV radiation at a population level. Objective: To estimate the long-term health and economic consequences of banning indoor tanning devices or prohibiting their use by minors only in North America and Europe compared with ongoing current levels of use. Design, Setting, and Participants: This economic analysis modeled data for individuals 12 to 35 years old in North America and Europe, who commonly engage in indoor tanning. A Markov cohort model was used with outcomes projected during the cohort's remaining life-years. Models were populated by extracting data from high-quality systematic reviews and meta-analyses, epidemiologic reports, and cancer registrations. Main Outcomes and Measures: Main outcomes were numbers of melanomas and deaths from melanoma, numbers of keratinocyte carcinomas, life-years, and health care and productivity costs. Extensive sensitivity analyses were performed to assess the stability of results. Results: In an estimated population of 110 932 523 in the United States and Canada and 141 970 492 in Europe, for the next generation of youths and young adults during their remaining lifespans, regulatory actions that ban indoor tanning devices could be expected to gain 423 000 life-years, avert 240 000 melanomas (-8.2%), and avert 7.3 million keratinocyte carcinomas (-7.8%) in North America and gain 460 000 life-years, avert 204 000 melanomas (-4.9%), and avert 2.4 million keratinocyte carcinomas (-4.4%) in Europe compared with ongoing current levels of use. Economic cost savings of US $31.1 billion in North America and €21.1 billion (US $15.9 billion) in Europe could occur. Skin cancers averted and cost savings after prohibiting indoor tanning by minors may be associated with one-third of the corresponding benefits of a total ban. Conclusions and Relevance: Banning indoor tanning may be associated with reduced skin cancer burden and health care costs. Corresponding gains from prohibiting indoor tanning by minors only may be smaller.

Utilization and Cost of Mammography Screening Among Commercially Insured Women 50 to 64 Years of Age in the United States, 2012-2016.

Background: In recent years, most insurance plans eliminated cost-sharing for breast cancer screening and recommended screening intervals changed, and newer modalities-digital mammography and breast tomosynthesis-became more widely available. The objectives of this study are to examine how these changes affected utilization, frequency, and costs of breast cancer screening among commercially insured women, and to understand factors associated with utilization and frequency of screening. Materials and Methods: This study used commercial insurance claims data for women 50 to 64 years of age, continuously enrolled in commercial insurance plans during 2012-2016. Results: Of the 685,737 eligible women, 20% were not screened, 40% received annual screening, 24% received biennial screening, and 16% were screened less frequently than recommended during the time period examined. Sociodemographic factors such as age <60 years, rurality, and fee-for-service insurance were associated with low screening utilization. Patients who received annual screening incurred ∼1.78 times higher costs compared to those who received biennial screening during the study period. Digital mammography was the most costly and commonly used modality along with computer-aided detection. Conclusions: Evidence-based interventions to promote screening among women who are screened less frequently are needed along with interventions to move toward biennial screening rather than annual screening. Increasing provider awareness regarding breast cancer screening rates and frequency among various sociodemographic groups is essential to guide provider recommendations and shared decision making. The results of this study can guide targeted public health interventions to reduce barriers to screening, and can also serve as inputs for economic analyses of screening interventions and programs.

An Examination of Concurrent Opioid and Benzodiazepine Prescribing in 9 States, 2015.

INTRODUCTION: Concurrent prescribing of opioids and benzodiazepines is discouraged by evidence-based clinical guidelines because of the known risks of taking these medications in combination. METHODS: This study analyzed concurrent opioid and benzodiazepine prescribing in 9 states using the 2015 Prescription Behavior Surveillance System, a multistate database of de-identified prescription drug monitoring program data. Concurrent prescribing rates were examined among individuals with both an opioid and a benzodiazepine prescription. Among patients with concurrent prescribing, total days of opioid supply, daily dosage of opioids, and total days of concurrent prescriptions were examined. Analyses were stratified by whether concurrent prescribing was from a single prescriber or multiple prescribers. Opioid prescribing and concurrent opioid and benzodiazepine prescribing rates were examined by age and sex. Analyses were conducted in 2018. RESULTS: Among 19,977,642 patients that were prescribed an opioid, 21.6% (4,324,092) were also prescribed a benzodiazepine, of which 54.9% (2,375,219) had concurrent prescriptions. More than half of patients with concurrent opioids and benzodiazepines received prescriptions from 2 or more distinct prescribers. Mean total opioid days, daily opioid dosage, and days of concurrent prescribing were higher among patients when multiple prescribers were involved compared with concurrent prescriptions from the same prescriber. Concurrent prescribing was more common among adults aged ≥50 years and female patients. CONCLUSIONS: Public health interventions are needed to reduce concurrent prescribing of opioids and benzodiazepines. Evidence-based guidelines can help reduce concurrent prescribing when one prescriber is involved, and utilization of prescription drug monitoring programs and improved care coordination could help address concurrent prescribing when multiple prescribers are involved.

The high costs of cheap tanning: pricing and promotional practices of indoor tanning facilities in six cities in the United States.

Few studies have investigated pricing and promotional practices used by the indoor tanning industry, despite their potential to promote indoor UV tanning-a well-established risk factor for melanoma skin cancer. Posing as potential customers, we telephoned 94 indoor tanning businesses in six United States (U.S.) cities and requested pricing information. The price of a single tanning session ranged from $0 to $23, and was lower at facilities that offered indoor tanning as a secondary service (mean $4.82 and free in 35%) than at tanning salons (mean $16.45). Session prices in salons could be as low as $1.50 with daily use of an unlimited monthly plan. Free indoor tanning, monthly packages, and memberships encourage increased use. Policies that limit free indoor tanning or that restrict pricing and advertising for indoor tanning exist in several places in the U.S. and Europe. Future research should evaluate whether those policies are effective in reducing indoor tanning.