Prevalence of Immunosuppressive Drug Use Among Commercially Insured US Adults, 2018-2019.
Ontology highlight
ABSTRACT:
SUBMITTER: Wallace BI
PROVIDER: S-EPMC8138687 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Background/objectivesBenzodiazepines (BZDs) are widely prescribed to older adults. Although prescribing has declined in the U.S. Department of Veterans Affairs (VA), Medicare introduced BZD coverage in 2013. It is unknown whether declines in the VA have been widespread among older adults in the United States.DesignObservational study in traditional fee-for-service Medicare, commercial insurance, and the VA.SettingUnited States, 2013-2017.ParticipantsAdults aged 55 and older in traditional Medicare (234,290,693 person-months), commercial insurance (337,827,125 person-months), and the VA (256,590,369 person-months).Measurements(1) Change in BZD and BZD-opioid co-prescribing modeled by Poisson regression over time; and (2) standardized ratios of BZD and BZD-opioid co-prescribing, using Medicare as the reference.ResultsFrom April 2013 to December 2017, the monthly percentage of adults aged 55 and older who received BZDs fell from 10.4% to 9.3% in Medicare, 6.6% to 6.5% in commercial insurance, and 5.7% to 3.0% in the VA. Monthly BZD-opioid co-prescribing over the same time fell from 4.0% to 3.0% in Medicare, 2.3% to 2.0% in commercial, and 2.2% to .6% for the VA. Age- and sex-adjusted rates of decline for BZD and BZD-opioid co-prescribing were statistically significant for all systems. Annual BZD rate reductions were .98 (Medicare), .99 (commercial), and .87 (VA; P < .001 for all); co-prescribing rate reductions were .95, .99, and .75 (P < .001 for all). Using standardized ratios accounting for demographic and clinical characteristics, both prescribing and co-prescribing were lowest for the VA relative to Medicare (standardized BZD ratio = .40; 95% confidence interval [CI] = .39-.40; standardized BZD-opioid co-prescribing ratio = .35; 95% CI = .35-.35). Prescribing in commercial insurance was also lower (BZD = .65; 95% CI = .65-.65; BZD-opioid co-prescribing = .65; 95% CI = .65-.65).ConclusionBZD prescribing has declined much more to older adults receiving care through the VA than Medicare or commercial insurance. Other systems may learn from strategies implemented in the VA.
| S-EPMC7856043 | biostudies-literature
Project description:BackgroundLiver cirrhosis is a chronic disease that is known as a "silent killer" and its true prevalence is difficult to describe. It is imperative to accurately characterize the prevalence of cirrhosis because of its increasing healthcare burden.MethodsIn this retrospective cohort study, trends in cirrhosis prevalence were evaluated using administrative data from one of the largest national health insurance providers in the US. (2011-2018). Enrolled adult (≥18-years-old) patients with cirrhosis defined by ICD-9 and ICD-10 were included in the study. The primary outcome measured in the study was the prevalence of cirrhosis 2011-2018.ResultsAmong the 371,482 patients with cirrhosis, the mean age was 62.2 (±13.7) years; 53.3% had commercial insurance and 46.4% had Medicare Advantage. The most frequent cirrhosis etiologies were alcohol-related (26.0%), NASH (20.9%) and HCV (20.0%). Mean time of follow-up was 725 (±732.3) days. The observed cirrhosis prevalence was 0.71% in 2018, a 2-fold increase from 2012 (0.34%). The highest prevalence observed was among patients with Medicare Advantage insurance (1.67%) in 2018. Prevalence increased in each US. state, with Southern states having the most rapid rise (2.3-fold). The most significant increases were observed in patients with NASH (3.9-fold) and alcohol-related (2-fold) cirrhosis.ConclusionBetween 2012-2018, the prevalence of liver cirrhosis doubled among insured patients. Alcohol-related and NASH cirrhosis were the most significant contributors to this increase. Patients living in the South, and those insured by Medicare Advantage also have disproportionately higher prevalence of cirrhosis. Public health interventions are important to mitigate this concerning trajectory of strain to the health system.
| S-EPMC10896513 | biostudies-literature
Project description:To describe trends in retail clinic use among commercially insured patients and to identify which patient characteristics predict retail clinic use.Retrospective cohort analysis of commercial insurance claims sampled from a population of 13.3 million patients in 22 markets in 2007 to 2009.We identified 11 simple acute conditions that can be managed at a retail clinic and described trends in retail clinic utilization for these conditions. We used multiple logistic regressions to identify predictors of retail clinic versus another care site for these conditions and assessed whether those predictors changed over time.Retail clinic use increased 10-fold from 2007 to 2009. By 2009, 6.9% of all visits for the 11 conditions were to a retail clinic. Proximity to a retail clinic was the strongest predictor of use. Patients living within 1 mile of a retail clinic were 7.5% more likely to use one than those living 10 to 20 miles away (P <.001). Women (+0.9%, P <.001), young adults (+1.6%, P <.001), patients without a chronic condition (+0.9%, P <.001), and patients with high incomes (+2.6%, P <.001) were more likely to use retail clinics. All these associations became stronger over time. There was no association between primary care physician availability and retail clinic use.If these trends continue, health plans will see a dramatic increase in retail clinic utilization. While use is increasing on average, it is particularly increasing among young, healthy, and higher income patients living close to retail clinics.
| S-EPMC3548599 | biostudies-literature
Project description: Not available
| S-EPMC7516600 | biostudies-literature
Project description:PurposeHealth plan disenrollment occurs frequently in commercial insurance claims databases. If individuals who disenroll are different from those who remain enrolled, informative censoring may bias descriptive statistics as well as estimates of causal effect. We explored whether patterns of disenrollment varied by patient or health plan characteristics.MethodsIn a large cohort of commercially insured adults (2007-2013), we examined two primary outcomes: (a) within-year disenrollment between January 1 and December 30, which was considered to occur due to patient disenrollment from the health plan, and (b) end-of-year disenrollment on December 31, which was considered to occur due to either patient disenrollment from the health plan or withdrawal of the entire health plan from the commercial insurance database. In yearly cohorts, we identified factors independently associated with disenrollment by using log-binomial regression models to estimate risk ratios (RR) and 95% confidence intervals (CI).ResultsAmong 2 053 100 unique patient years, the annual proportion of within-year disenrollment remained steady across years (range, 13% to 14%) whereas the annual proportion of end-of-year disenrollment varied widely (range, 8% to 26%). Independent predictors of within-year disenrollment were related to health status, including age, comorbidities, frailty, hospitalization, emergency room visits, use of durable medical equipment, use of preventive care, and use of prescription medications. In contrast, independent predictors of end-of-year disenrollment were related to health plan characteristics including insurance plan type and geographic characteristics.ConclusionsDifferential risk of disenrollment suggests that analytic approaches to address selection bias should be considered in studies using commercial insurance databases.
| S-EPMC6497556 | biostudies-literature
Project description:BackgroundThe objective of this study is to describe age-related patterns of outpatient healthcare utilization in youth and young adults with mental health disorders.MethodWe used the IBM® MarketScan® Commercial Database to identify 359,413 youth and young adults (12-27 years) with a mental health disorder continuously enrolled in private health insurance in 2018. Exploratory analysis was used to describe patterns of outpatient healthcare use (e.g., primary, reproductive, mental health care) and therapeutic management (e.g., medication prescriptions, psychotherapy) by age. Period prevalence and median number of visits are reported. Additional analysis explored utilization patterns by mental health disorder.ResultsThe prevalence of outpatient mental health care and primary care decreased with age, with a larger drop in primary care utilization. While 74.0-78.4% of those aged 12-17 years used both outpatient mental health care and primary care, 53.1-59.7% of those aged 18-27 years did. Most 18-19-year-olds had a visit with an internal medicine or family medicine specialist, a minority had a pediatrician visit. The prevalence of medication management increased with age, while the prevalence of psychotherapy decreased.ConclusionsTaken together, this descriptive study illustrates age-related differences in outpatient healthcare utilization among those with mental health disorders. Additionally, those with the most severe mental health disorders seem to be least connected to outpatient care. This knowledge can inform efforts to improve utilization of healthcare across the transition to adulthood.
| S-EPMC9323879 | biostudies-literature
Project description:ObjectiveTo determine the impact of telemental health (TMH) use on total healthcare costs and mental health (MH)-related costs paid by a third party among adults with mental health conditions (MHC).MethodThis study employed a pre-post design with a non-equivalent control group. The cohort comprised adults with MHCs identified using diagnosis codes from de-identified claims data of the Optum Clinformatics DataMart (2010 January 01 to 2017 June 30). We identified mental health (MH) service users and TMH users (N = 348) based on procedure codes. Non-users (N = 238,595) were defined as those who only used in-person MH services. A Difference-in-Differences (DID) analysis was performed within a multivariable two-part model (TPM) framework to examine the impact of TMH use on adjusted standardized costs (2018 US $) of all healthcare services and MH services. Patient-level and state-level factors were adjusted in TPM.ResultsTMH use was associated with significantly higher MH-related costs [Marginal effect = $461.3, 95% confidence interval: $142.4-$780.2] and an excess of $370 increase in MH-related costs at follow-up as compared to baseline. However, TMH use was not associated with an increase in total third-party healthcare costs nor with changes in total costs from baseline to follow-up.ConclusionsDespite having a higher likelihood of MH services use and MH-related costs, TMH users did not have higher total costs as compared to adults using only in-person MH services. Our findings suggest that TMH can increase access to MH care without increasing total healthcare costs among adults with MHC. Future studies exploring whether TMH use can lead to cost-savings over a longer period are warranted.
| S-EPMC7535072 | biostudies-literature
Project description:ObjectivesWe examined the proportion of patients initiating extended-release (ER) opioids who become long-term users and describe how pain-related diagnoses before initiation of opioid therapy vary between drugs and over time.MethodsUsing MarketScan (2006-2015), a US national commercial insurance database, we examined pain-related diagnoses in the 182-day baseline period before initiation of ER opioid therapy to characterize indications for opioid initiation. We report the proportion who became long-term users, the median length of opioid therapy, and the proportion with cancer and other noncancer chronic pain, by active ingredient.ResultsAmong 1,077,566 adults initiating ER opioids, 31% became long-term users, with a median length of use of 209 days. The most common ER opioids prescribed were oxycodone (26%) and fentanyl (23%), and the most common noncancer pain diagnoses were back pain (65%) and arthritis (48%). Among all long-term users, 16% had a diagnosis of cancer. We found notable variation by drug. Eighteen percent of patients initiating drugs approved by the Food and Drug Administration >10 years ago had evidence of cancer during baseline compared with only 8% of patients who received newer drugs.ConclusionsIn a national sample of adults with private insurance, back pain was the most common diagnosis preceding initiation of opioid therapy. Opioids that have been approved within the last 10 years were more frequently associated with musculoskeletal pains and less frequently associated with cancer. Amid increasing concerns regarding long-term opioid therapy, our findings provide context regarding the conditions for which long-term opioid therapy is prescribed.
| S-EPMC7534397 | biostudies-literature
Project description:BackgroundSince 2010, heroin-related overdoses have risen sharply, coinciding with policies to restrict access to prescription opioids. It is unknown if patients tapered or discontinued off prescription opioids transitioned to riskier heroin use. This study examined opioid prescribing, including long-term opioid therapy (LTOT) and discontinuation, prior to heroin overdose.MethodsWe used retrospective longitudinal data from a national claims database to identify adults with an emergency or inpatient claim for heroin overdose between January 2010 and June 2017. Receipt of opioid prescription, LTOT episodes, and discontinuation of LTOT were measured for the period of one year prior to heroin overdose.ResultsWe identified 3183 individuals (53.2% age 18-25; 70.0% male) with a heroin overdose (incidence rate 4.20 per 100k person years). Nearly half (42.3%) received an opioid prescription in the prior 12 months, and 10.9% had an active opioid prescription in the week prior to overdose. LTOT at any time in the 12 months prior to overdose was uncommon (12.8%) among those with heroin overdoses, especially among individuals 18-25 years old (3.5%, P < 0.001). LTOT discontinuation prior to overdose was also relatively uncommon, experienced by 6.7% of individuals aged 46 and over and 2.5% of individuals aged 18-25 years (P < 0.001).ConclusionsPrior to heroin overdose, prescription opioid use was common, but LTOT discontinuation was uncommon and observed primarily in older individuals with the lowest heroin overdose rates. Further study is needed to determine if these prescribing patterns are associated with increased heroin overdose.
| S-EPMC7768819 | biostudies-literature
Project description:Objective The increased use of opioids to treat chronic pain in the past 20 years has led to a drastic increase in opioid prescribing in the United States. The Centers for Disease Control and Prevention's (CDC's) Guideline for Prescribing Opioids for Chronic Pain recommends the use of nonopioid therapy as the preferred treatment for chronic pain. This study analyzes the prevalence of nonopioid prescribing among commercially insured patients with chronic pain. Design Data from the 2014 IBM® MarketScan® databases representing claims for commercially insured patients were used. International Classification of Diseases, Ninth Revision, codes were used to identify patients with chronic pain. Nonopioid prescriptions included nonsteroidal anti-inflammatory drugs (NSAIDs), analgesics/antipyretics (e.g., acetaminophen), anticonvulsants, and antidepressant medications. The prevalence of nonopioid and opioid prescriptions was calculated by age, sex, insurance plan type, presence of a depressive or seizure disorder, and region. Results In 2014, among patients with chronic pain, 16% filled only an opioid, 17% filled only a nonopioid prescription, and 28% filled both a nonopioid and an opioid. NSAIDs and antidepressants were the most commonly prescribed nonopioids among patients with chronic pain. Having prescriptions for only nonopioids was more common among patients aged 50-64 years and among female patients. Conclusions This study provides a baseline snapshot of nonopioid prescriptions before the release of the CDC Guideline and can be used to examine the impact of the CDC Guideline and other evidence-based guidelines on nonopioid use among commercially insured patients with chronic pain.
| S-EPMC6536362 | biostudies-literature