Dataset Information

Predictors of Transitioning to Incident Chronic Opioid Therapy Among Working-Age Adults in the United States.

ABSTRACT: Background:Opioids have been prescribed and used for chronic noncancer pain at prolific rates in the United States during the past 2 decades. Patients who transition to incident chronic opioid therapy are at increased risk for significant negative health consequences, including cardiovascular risk, endocrine disorders, opioid use disorder, and death. Objective:To identify the leading predictors associated with transitioning to incident chronic opioid therapy among working-age adults without cancer. Method:This retrospective observational cohort study is based on medical and pharmacy claims of a nationally representative sample of adults enrolled in commercial health insurance plans. Standard parametric (logistic regressions) and nonparametric methods based on a decision tree were used for prediction. To facilitate comparison with the available published literature, we also present adjusted odds ratios (AORs) and 95% confidence intervals (CIs). The 10% random sample of 491,442 patients included in the study who were working-age adults (age, 28-63 years) were insured in a commercial health plan, did not have cancer, and initiated opioid therapy between January 2007 and May 2015. Transition to incident chronic opioid therapy was defined as having claims for at least a 90-day supply of opioids within 120 days after the index date (ie, initiation of opioid therapy). Predictive models used for the analysis comprised a comprehensive list of factors available in the claims data, including opioid regimen characteristics, pain conditions, physical and mental health conditions, concomitant medications use (ie, benzodiazepine, stimulants, nonopioid analgesics, and polypharmacy), patient characteristics, and health insurance type. Results:In our sample, the transition to incident chronic opioid therapy was 1.3% and pain-specific diagnoses were documented for only one-third (31.7%) of patients. The 4 leading predictors of chronic opioid therapy were opioid duration of action (AOR, 12.28; 95% CI, 8.06-18.72), the parent opioid compound (eg, tramadol vs codeine; AOR, 7.26; 95% CI, 5.20-10.13), the presence of conditions that are very likely to cause chronic pain (AOR, 5.47; 95% CI, 3.89-7.68), and drug use disorders (AOR, 4.02; 95% CI, 2.53-6.40). Conclusion:The initial opioid regimen's characteristics are powerful predictors of chronic opioid therapy. Predictive algorithms created from readily available claims data can be used to develop real-time predictions of the future risk for a patient's transition to chronic opioid use.

SUBMITTER: Thornton JD

PROVIDER: S-EPMC5902762 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Predictors of Transitioning to Incident Chronic Opioid Therapy Among Working-Age Adults in the United States.

Thornton J Douglas JD Dwibedi Nilanjana N Scott Virginia V Ponte Charles D CD Ziedonis Douglas D Sambamoorthi Nethra N Sambamoorthi Usha U

American health & drug benefits 20180201 1

<h4>Background</h4>Opioids have been prescribed and used for chronic noncancer pain at prolific rates in the United States during the past 2 decades. Patients who transition to incident chronic opioid therapy are at increased risk for significant negative health consequences, including cardiovascular risk, endocrine disorders, opioid use disorder, and death.<h4>Objective</h4>To identify the leading predictors associated with transitioning to incident chronic opioid therapy among working-age adul ...[more]

PMID: 29692877

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Project description:Employers play a vital role in promoting and supporting tobacco use cessation among tobacco-using workers. Cigarette smoking during pregnancy is a preventable cause of complications in pregnancy and adverse infant health outcomes.To estimate cigarette smoking prevalence and attempts to quit among working women of reproductive age in different industries and occupations using a nationally representative survey.The 2009-2013 National Health Interview Survey data for women of reproductive age (18-49 years) who were working in the week prior to the interview (n = 30855) were analyzed. Data were adjusted for nonresponse and weighted to produce nationally representative estimates.During 2009-2013, among working women of reproductive age, an estimated 17.3% (95% confidence interval [CI]: 16.7-17.8) and 12.9% (95% CI: 12.4-13.4) were current and former cigarette smokers, respectively. Of women who smoke daily, 44.5% (95% CI: 42.5-46.5) had made a quit attempt for more than 1 day in the year before the interview. Cigarette smoking prevalence was highest among women working in the construction industry (29.2%; 95% CI: 22.8-35.7) and in construction and extraction occupations (34.6%; 95% CI: 23.4-45.9). Among working women who were pregnant at the time of the interview, 6.8% (95% CI: 4.4-9.2) and 20.4% (95% CI: 16.9-24.0) were current and former cigarette smokers, respectively.Cigarette smoking prevalence varies by industry and occupation. Intensifying tobacco control efforts in high prevalence industries and occupations could result in higher cessation rates and improvements in health among women of reproductive age.This study identified discrepancies in cigarette smoking among women of reproductive age across industries and occupations. In the absence of smoke-free local and state laws, employer-established smoke-free policies and workplace cessation programs are important for achieving reduction of tobacco use among women and for protecting other workers' health. Results in this report may assist in developing educational campaigns targeting women in industries and occupations with high prevalence of cigarette smoking and low percentage of ever-smokers who had quit.

Project description:BackgroundGuidelines recommend most benzodiazepine (BZD) treatment be short-term, though chronic BZD use is increasing.ObjectiveDetermine the rate of BZD discontinuation among chronic users and identify patient- and provider-level factors associated with discontinuation.Design, setting, and participantsA retrospective cohort study using nationwide insurance claims data from 2014 to 2016 of US adults ≥ 18 years old with chronic BZD use (i.e., > 120 days) during the baseline year.Main outcomes and measuresThe primary outcome was BZD discontinuation among chronic users after 1 year of follow-up. A series of multilevel logistic regression models examined the association of BZD discontinuation with patient and provider characteristics. Covariates included patient sociodemographics, medical and psychiatric comorbidity, co-prescribed opioids and other psychotropics, and characteristics of the prescribed BZD.Key resultsOf 141,008 chronic BZD users, 13.4% discontinued use after 1 year. Females had lower odds of discontinuation (AOR 0.83, 99% CI 0.79-0.87), while African-American patients had higher odds (AOR 1.12, 99% CI 1.03-1.22). Those prescribed a high-potency BZD had lower odds of discontinuation (AOR 0.51, 99% CI 0.47-0.54), as did those prescribed an opioid (AOR 0.94, 99% CI 0.89-0.99). After adjusting for patient- and provider-level factors, differences between providers accounted for 5.8% of variation in BZD discontinuation (p < 0.001). The median odds ratio for provider was 1.54, an association with discontinuation larger than almost all patient-level clinical variables.ConclusionsA small minority of patients prescribed chronic BZD in a given year are no longer prescribed BZDs 1 year later. There is significant variation in the likelihood of discontinuation accounted for by non-clinical factors such as race, geography, and a patient's provider, which had a stronger association with the odds of discontinuation than almost every other patient-level variable. Provider-facing elements of interventions to reduce BZD prescribing may be critical.

Project description:Objective:To examine the incidence of screening, diagnosis, and treatment of hypogonadism among men treated with opioids in the United States. Patients and Methods:Using one of the nation's largest commercial insurance databases, we identified 53,888 men aged 20 years or older who had 90 or more days of opioid prescriptions in a single 12-month period between January 1, 2010, and December 31, 2017, with no history of hypogonadism or testosterone therapy in the preceding 12 months. We matched this cohort to 53,888 men with 14 or fewer days of opioid prescriptions based on age, opioid initiation date, opioid indication, and comparable exclusion criteria. We assessed whether men, 14 or fewer days after initiation of opioid treatment, received a serum testosterone test, a diagnosis of hypogonadism, or a prescription for testosterone therapy. All men were followed up until they lost coverage from the commercial insurance plan, experienced one of the study outcomes, or the end of study (December 31, 2017). Results:In the multivariable analyses-adjusting for age, year of opioid initiation, region, comorbid disease, glucocorticoid use, and health care utilization-the 53,888 prolonged opioid users, in comparison with 53,888 short-term users, had an increased incidence of serum testosterone screening (5991 [17.15%; 95% CI, 16.70%-17.61%] vs 3514 [11.55%; 95% CI, 11.11%-12.01%] at 5 years; hazard ratio [HR], 1.46; 95% CI, 1.38-1.55), hypogonadism diagnosis (3125 [9.44%; 95% CI, 9.09%-9.80%] vs 1421 [4.85%; 95% CI, 4.55%-5.16%; HR, 1.74; 95% CI, 1.60-1.90]), and receipt of testosterone therapy (1919 [5.76%; 95% CI, 5.49%-6.05%] vs 631 [2.21%; 95% CI, 2.04%-2.43%; HR, 2.41; 95% CI, 2.13-2.74]). Each of these findings persisted across multiple sensitivity analyses. Conclusion:Prolonged opioid exposure was associated with increased rates of screening, diagnosis, and treatment for opioid-induced hypogonadism, but these rates were much lower than expected based on previous serum-based studies.

Project description:BackgroundGiven the controversy around the effectiveness of opioid treatment for chronic pain and the lack of detailed guidance for prescribing opioids in older adults, the objectives of this study were to estimate the trajectories and predictors of opioid use in older adults.MethodsData were extracted from the National Alzheimer's Coordinating Center (2005-2017). Group-based trajectory modeling was used to identify the patterns of opioid use (any or strong) among participants age 65+. We used multivariable logistic regression with backward selection to evaluate demographics and comorbidities as potential predictors of trajectory membership.ResultsAmong 13,059 participants, four trajectories were identified for the use of both any opioids and strong opioids (minimal-users, incident chronic-users, discontinuing-users, and prevalent chronic-users). For any opioids, female sex (adjusted odds ratio = 1.23; 95% confidence interval = 1.03-1.46), black vs. white (1.47; 1.18-1.82), year of education (0.96; 0.94-0.99), type of residence (independent group vs. private: 1.77; 1.38-2.26, care facility vs. private: 1.89; 1.20-2.97), hypertension (1.44; 1.20-1.72), cardiovascular disease (1.30; 1.09-1.55), urinary incontinence (1.45; 1.19-1.78), dementia (0.73; 0.57-0.92), number of medications (1 to 4 vs. none: 0.48; 0.36-0.64, 5 or more vs. none: 0.67; 0.50-0.88), and antidepressant agent (1.38; 1.14-1.67) were associated with incident chronic-use vs. non-use. For strong opioids, female sex (1.27; 1.04-1.56), type of residence (independent group vs. private: 1.90; 1.43-2.53, care facility vs. private: 2.37; 1.44-3.90), current smoking (1.68; 1.09-2.60), hypertension (1.49; 1.21-1.83), urinary incontinence (1.45; 1.14-1.84), dementia (0.73; 0.55-0.97), number of medications (1 to 4 vs. none: 0.46; 0.32-0.65, 5 or more vs. none: 0.59; 0.42-0.83), and antidepressant agent (1.55; 1.24-1.93) were associated with incident chronic-use vs. non-use.ConclusionGiven that chronic opioid use was more prevalent in participants who were more vulnerable (i.e., older age, with multiple comorbidities, and polypharmacy), further studies should evaluate the safety and efficacy of using opioids in this population.

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Dataset Information

Predictors of Transitioning to Incident Chronic Opioid Therapy Among Working-Age Adults in the United States.

Publications

Predictors of Transitioning to Incident Chronic Opioid Therapy Among Working-Age Adults in the United States.

Similar Datasets

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