New chronic opioid use in Medicaid patients following cholecystectomy.
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ABSTRACT: Background
Commercial insurance data show that chronic opioid use in opioid-naive patients occurs in 1.5% to 8% of patients undergoing surgical procedures, but little is known about patients with Medicaid.Methods
Opioid prescription data and medical coding data from 4,788 Medicaid patients who underwent cholecystectomy were analyzed to determine opioid use patterns.Results
A total of 54.4% of patients received opioids prior to surgery, and 38.8% continued to fill opioid prescriptions chronically; 27.1% of opioid-naive patients continued to get opioids chronically. Patients who received ≥ 50 MME/d had nearly 8 times the odds of chronic opioid use. Each additional opioid prescription filled within 30 days was associated with increased odds of chronic use (odds ratio: 1.71).Conclusion
Opioid prescriptions are common prior to cholecystectomy in Medicaid patients, and 38.8% of patients continue to receive opioid prescriptions well after surgical recovery. Even 27.1% of opioid-naive patients continued to receive opioid prescriptions chronically.
SUBMITTER: Lockett MA
PROVIDER: S-EPMC9218552 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BACKGROUND:Although new persistent opioid use and high-risk prescribing have been recognized as important postoperative complications among younger patients (18-64 years of age), little is known about the incidence for postoperative opioid use among older patients (>65 years of age). METHODS:We analyzed a 20% national sample of Medicare Part D claims among beneficiaries >65 years of age who underwent a major or minor surgical procedure between January 1, 2009, and June 30, 2015. We identified patients without an opioid prescription fill in the year before surgery and examined their perioperative and 6-month postoperative opioid prescription fills to examine the incidence of new persistent opioid use and high-risk prescribing. RESULTS:We identified 81,839 opioid naïve patients who underwent surgery and filled an opioid prescription perioperatively. Overall, 9.8% developed new persistent opioid use. Risk factors for new persistent opioid use included major surgery (adjusted odds ratio [aOR] 1.24, 95% confidence interval [CI] 1.17-1.31), more comorbid conditions (aOR 1.71, 95% CI 1.58-1.84), mood disorders (aOR 1.16, 95% CI 1.09-1.24), suicide or self-harm (aOR 1.60, 95% CI 1.05-2.44), substance abuse disorders (aOR 1.38, 95% CI 1.20-1.59), filling an opioid prescription before surgery (aOR 1.67, 95% CI 1.58-1.77), higher amounts of opioids filled (aOR 1.44, 95% CI 1.37-1.52), black race (aOR 1.23, 95% CI 1.12-1.36), and Medicaid eligibility (aOR 1.45, 95% CI 1.35-1.55). CONCLUSION:About 10% of Medicare beneficiaries who were previously opioid naïve continue to fill opioids past 3 months after surgery. In addition to comorbidities and mental health conditions, new persistent opioid use is associated with surgery type, preoperative opioid fill, high-risk prescribing practices, and sociodemographic factors.
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Project description:BACKGROUND:Pain is more common among people living with HIV (PLWH) than their counterparts; however, it is unclear whether analgesic use differs by HIV status. METHODS:We analyzed Medicaid pharmacy claims from adults in 14 US states from 2001 to 2009 to identify opioid and non-opioid analgesic prescriptions and compared prescribing trends by HIV status. We accounted for clinical and demographic differences by using inverse probability weights and by restricting the sample to a subgroup with a common comorbidity, diabetes, chosen for its high prevalence and association with lifestyle and chronic pain. We estimated the incidence of chronic opioid therapy (COT) (≥90 consecutive days with an opioid prescription) among opioid-naïve individuals. RESULTS:Rates of opioid and non-opioid use increased approximately two-fold from 2001 to 2009. PLWH received approximately twice as many prescriptions as those without HIV. In an unadjusted Cox regression, PLWH were three times more likely to receive COT compared to those without HIV (hazard ratio (HR) = 3.06, 95% CI 2.76-3.39). When restricting to patients with diabetes and adjusting for age, sex, state, comorbidity score, depression, bipolar disorder, and schizophrenia, the HR decreased to 1.26 (95% CI 0.97-1.63). CONCLUSIONS:Higher opioid use among PLWH was largely a function of patients' demographic characteristics and health status. The high incidence of COT among PLWH underscores the importance of practice guidelines that minimize adverse events associated with opioid use.
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Project description:ImportanceState Medicaid programs have implemented initiatives to expand treatment coverage for opioid use disorder (OUD); however, some Medicaid programs still require prior authorizations (PAs) for filling buprenorphine prescriptions.ObjectiveTo evaluate the changes in buprenorphine use for OUD among Medicaid enrollees in states that completely removed buprenorphine PA requirements.Design setting and participantsThis retrospective cross-sectional study analyzed the immediate and trend changes on buprenorphine use during 2013 to 2020 associated with removal of PA requirements using a controlled interrupted time series analysis to account for autocorrelation. Data were collected from Medicaid State Drug Utilization Data for 2 states (California and Illinois) that completely removed a buprenorphine PA during the study period, and buprenorphine prescriptions for OUD treatment were identified among Medicaid enrollees.Main outcomes and measuresQuarterly total number of buprenorphine prescriptions for each state was calculated, and stratification analyses were conducted by dosage form (films and tablets).ResultsAmong the 2 state Medicaid programs (California and Illinois) that removed buprenorphine PAs, there was a total of 702 643 and 415 115 eligible buprenorphine prescription claims, respectively. After removing PA requirements for buprenorphine, there was an immediate increase that was not statistically significant (rate ratio [RR], 1.11; 95% CI, 0.76-1.61) in the number of all buprenorphine prescriptions in California and a statistically significant increase (RR, 6.99; 95% CI, 4.67-10.47) in the number of all buprenorphine prescriptions in Illinois relative to the change in the control states (Alabama, Florida, Idaho, Kansas, Mississippi, Nevada, South Dakota, and Wyoming). Additionally, there was a statistically significant decreasing trend in the number of all buprenorphine prescriptions in California (RR, 0.88; 95% CI, 0.82-0.94) and a statistically significant increasing trend in Illinois (RR, 1.11; 95% CI, 1.05-1.19) relative to the trend in control states.Conclusions and relevanceIn this cross-sectional study, removal of buprenorphine PA requirements was associated with a statistically significant increase in the number of buprenorphine prescription fills among Medicaid populations in 1 of the 2 included states.
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Project description:BackgroundOpioids used for postoperative pain control after surgery have been associated with an increased risk of chronic opioid use. Hysterectomy is the most common major gynecological procedure in the United States; however, we lack a data-driven definition of new persistent opioid use specific to hysterectomy.ObjectiveThe objectives of the study were as follows: (1) determine a data-driven definition of new persistent opioid use among opioid naïve women undergoing hysterectomy and (2) determine the prevalence of and risk factors for new persistent opioid use.Study designWe used data from Optum Clinformatics that include both medical and pharmacy data from a single national private health insurer. Hysterectomies performed from Jan. 1, 2011, to Dec. 31, 2014, were identified using current procedural terminology and International Classification of Diseases, ninth revision, codes. Inclusion criteria included the following: age ≤63 years at hysterectomy, no opioid fills for 8 months preceding (excluding the 30 days immediately prior), and no additional surgical procedures within 6 months after hysterectomy. The perioperative period was defined as 30 days prior to 14 days after hysterectomy. Number of opioid prescription fills, days supplied, and total oral morphine equivalents were analyzed to determine the distribution of opioid use in the perioperative and postoperative periods. We obtained demographics including age, race, educational level, and division of the country according to the US Census Bureau and used International Classification of Diseases, ninth revision, diagnosis codes to identify hysterectomy indications, surgical route, chronic pain disorders, depression/anxiety, and substance abuse. Bivariate analyses were used to compare persistent with nonpersistent opioid users. A hierarchical logistic regression model controlling for regional variation was used to determine factors associated with new persistent opioid use following hysterectomy.ResultsA total of 24,331 women were included in the analysis. New persistent opioid use was defined as follows: ≥2 opioid fills within 6 months of hysterectomy with ≥1 fill every 3 months and either total oral morphine equivalent ≥1150 or days supplied ≥39. Based on this definition, the prevalence of new persistent opioid use was 0.5% (n = 122). Median perioperative oral morphine equivalents prescribed to those who became new persistent users was 437.5 mg (interquartile range, 200-750) compared with 225 mg (interquartile range, 150-300) for nonpersistent users (P < .0001). Factors independently associated with new persistent opioid use included the following: increasing age (adjusted odds ratio, 1.04, 95% confidence interval, 1.01-1.06, P = .006), African-American race (reference: white, adjusted odds ratio, 1.61 95% confidence interval, 1.02-2.55, P = .04), gynecological malignancy (adjusted odds ratio, 7.61, 95% confidence interval, 3.35-17.27, P < .0001), abdominal route (adjusted odds ratio, 3.61, 95% confidence interval, 2.03-6.43, P < .0001), depression/anxiety (adjusted odds ratio, 2.62, 95% confidence interval, 1.71-4.02, P < .0001), and preoperative opioid fill (adjusted odds ratio, 2.76, 95% confidence interval, 1.87-4.07, P < .0001). The C-statistic for this model is 0.74.ConclusionBased on our definition, the prevalence of new persistent opioid use among opioid-naïve women undergoing hysterectomy is low; however, 2 potentially modifiable risk factors are preoperative opioid prescription and abdominal route of surgery.
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Project description:BACKGROUND:Opioids are commonly prescribed in the hospital; yet, little is known about which patients will progress to chronic opioid therapy (COT) following discharge. We defined COT as receipt of ??90-day supply of opioids with <?30-day gap in supply over a 180-day period or receipt of ??10 opioid prescriptions over 1 year. Predictive tools to identify hospitalized patients at risk for future chronic opioid use could have clinical utility to improve pain management strategies and patient education during hospitalization and discharge. OBJECTIVE:The objective of this study was to identify a parsimonious statistical model for predicting future COT among hospitalized patients not on COT before hospitalization. DESIGN:Retrospective analysis electronic health record (EHR) data from 2008 to 2014 using logistic regression. PATIENTS:Hospitalized patients at an urban, safety net hospital. MAIN MEASUREMENTS:Independent variables included medical and mental health diagnoses, substance and tobacco use disorder, chronic or acute pain, surgical intervention during hospitalization, past year receipt of opioid or non-opioid analgesics or benzodiazepines, opioid receipt at hospital discharge, milligrams of morphine equivalents prescribed per hospital day, and others. KEY RESULTS:Model prediction performance was estimated using area under the receiver operator curve, accuracy, sensitivity, and specificity. A model with 13 covariates was chosen using stepwise logistic regression on a randomly down-sampled subset of the data. Sensitivity and specificity were optimized using the Youden's index. This model predicted correctly COT in 79% of the patients and no COT correctly in 78% of the patients. CONCLUSIONS:Our model accessed EHR data to predict 79% of the future COT among hospitalized patients. Application of such a predictive model within the EHR could identify patients at high risk for future chronic opioid use to allow clinicians to provide early patient education about pain management strategies and, when able, to wean opioids prior to discharge while incorporating alternative therapies for pain into discharge planning.
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Project description:BACKGROUND:After decades of increased opioid pain reliever prescribing, providers are rapidly reducing prescribing. We hypothesized that reduced access to prescribed opioid pain relievers among patients previously reliant upon opioid pain relievers would result in increased illicit opioid use. METHODS AND FINDINGS:We conducted a retrospective cohort study among 602 publicly insured primary care patients who had been prescribed opioids for chronic non-cancer pain for at least three consecutive months in San Francisco, recruited through convenience sampling. We conducted a historical reconstruction interview and medical chart abstraction focused on illicit substance use and opioid pain reliever prescriptions, respectively, from 2012 through the interview date in 2017-2018. We used a nested-cohort design, in which patients were classified, based on opioid pain reliever dose change, into a series of nested cohorts starting with each follow-up quarter. Using continuation-ratio models, we estimated associations between opioid prescription discontinuation or 30% increase or decrease in dose, relative to no change, and subsequent frequency of heroin and non-prescribed opioid pain reliever use, separately. Models controlled for demographics, clinical and behavioral characteristics, and past use of heroin or non-prescribed opioid pain relievers. A total of 56,372 and 56,484 participant-quarter observations were included from the 597 and 598 participants available for analyses of heroin and non-prescribed opioid pain reliever outcomes, respectively. Participants discontinued from prescribed opioids were more likely to use heroin (Adjusted Odds Ratio (AOR) = 1.57, 95% CI: 1.25-1.97) and non-prescribed opioid pain relievers (AOR = 1.75, 1.45-2.11) more frequently in subsequent quarters compared to participants with unchanged opioid prescriptions. Participants whose opioid pain reliever dose increased were more likely to use heroin more frequently (AOR = 1.67, 1.32-2.12). Results held throughout sensitivity analyses. The main limitations were the observational nature of results and limited generalizability beyond safety-net settings. CONCLUSIONS:Discontinuation of prescribed opioid pain relievers was associated with more frequent non-prescribed opioid pain reliever and heroin use; increased dose was also associated with more frequent heroin use. Clinicians should be aware of these risks in determining pain management approaches.
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Project description:BackgroundSince early 2016, an increasing number of states passed legislations that limit the duration and/or dosage of initial opioid prescriptions or opioids for acute pain.ObjectiveThe objective of this study was to assess changes in the number of opioid prescriptions covered by Medicaid and received by Medicaid patients associated with state implementation of legislative limits on initial opioid prescriptions.Research designWe explored the natural experiment resulting from the staggered implementation of state legislative limits. The analysis adopted a Difference-in-Differences framework and controlled for other major state policies bearing implications for prescription opioid use. The main analysis included 26 states that implemented limits from early 2016 to late 2018. A secondary analysis included all 50 states and the District of Columbia.MeasuresPopulation-adjusted state-quarter level counts of Schedule II and III opioid prescriptions received by Medicaid patients, based on data from the Medicaid State Drug Utilization Data and state Medicaid enrollment reports for 2013-2018.ResultsImplementation of legislative limits on initial opioid prescriptions was associated with a 7% reduction in the number of opioid prescriptions per 100 Medicaid enrollees. Such reduction was largely attributable to a reduction in Schedule II opioid prescriptions. Secondary analysis by including all jurisdictions and sensitivity checks supported the robustness of results.ConclusionThe recent implementation of state legislative limits on initial opioid prescriptions was associated with meaningful reductions in the volume of Schedule II opioid prescriptions received by Medicaid patients.
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Project description:INTRODUCTION:Millions of Americans are affected by acute or chronic pain every year. This study investigates opioid prescription patterns for acute and chronic pain management among U.S. Medicaid patients. METHODS:The study used medical and pharmacy claims data obtained from the multistate Truven MarketScan Medicaid Database from 2013 to 2015 for Medicaid patients receiving health care. Medicaid beneficiaries who utilized an outpatient healthcare facility for back pain, neck pain (cervicalgia), joint pain (osteoarthritis and rheumatoid arthritis), orthopedics (simple/closed fractures and muscle strains/sprains), headache (cluster headaches and migraines), dental conditions, or otorhinolaryngologic (otalgia) diagnoses, based on the International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes, and received an opioid prescription within 14 days of diagnosis were included in this study. RESULTS:There were 5,051,288 patients with 1 of the 7 diagnostic groupings; 18.8% had an opioid prescription filled within 14 days of diagnosis. Orthopedic pain (34.8%) was the primary reason for an opioid prescription, followed by dental conditions (17.3%), back pain (14.0%), and headache (12.9%). Patients receiving an opioid for conditions associated with acute pain management, such as otorhinolaryngologic (OR=1.93, 95% CI=1.85, 2.0), dental (OR=1.50, 95% CI=1.48, 1.53), or orthopedic conditions (OR=1.31, 95% CI=1.29, 1.32), were more likely to receive the prescription from an emergency department provider versus a general practitioner. However, compared with general practitioners, other providers were more likely to prescribe opioids for conditions associated with chronic pain management. CONCLUSIONS:More than half of Medicaid beneficiaries receiving an opioid for pain management do so for orthopedic- and dental-related reasons, with emergency department providers more likely to prescribe opioids. Modifications to the guidelines addressing temporary acute pain management practices with opioids would be likely to benefit emergency department providers the most.
| S-EPMC6713282 | biostudies-literature
Project description:INTRODUCTION:In response to the US opioid crisis, interventions are being implemented to lower opioid prescribing to reduce opioid misuse and overdose. As opioid prescribing falls, opioid misuse may shift from prescriptions to other, possibly illicit, sources. We examined how the percentage of patients with an opioid use disorder (OUD) diagnosis in a given year without a current opioid prescription changed over a decade among commercially insured enrollees and Medicaid beneficiaries. We also examined how the percentages differed by enrollee demographic factors. METHODS:We used commercial and Medicaid claims from the IBM MarketScan® databases from 2005 to 2015 to identify enrollees with and without current opioid prescriptions who have been diagnosed with OUD. We measured the percentage of enrollees with OUD without a current opioid prescription by year and demographic factors. RESULTS:We identified 99,396 enrollee-years with OUD covered by commercial insurance and 60,492 enrollee-years with OUD covered by Medicaid. Among enrollees with OUD, the percentage without a current opioid prescription increased from 37% in 2005 to 49% in 2012 before falling back to 39% in 2015 in the commercial population, and increased from 32% in 2005 to 38% in 2015 in the Medicaid population. Differences in percentages were observed by age, sex, race, and region, particularly among young people where 70 to 89% had OUD without a current prescription. CONCLUSIONS:Most enrollees with OUD in the data had current opioid prescriptions, suggesting that continuing efforts to reduce misuse of prescribed opioids among patients with prescriptions may be effective. However, a substantial percentage of enrollees with OUD may be obtaining opioids via other, likely illegitimate, channels, particularly younger people, which suggests an opportunity for targeted efforts to reduce opioid diversion.
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Project description:BackgroundMedicaid presently insures about one-fourth of the US population and disproportionately insures about 38 % of non-elderly adults with an opioid use disorder (OUD). Owing to Medicaid's prominent role insuring persons with an OUD and that Medicaid coverage includes pharmaceutical benefits, there has been considerable interest in studying potential prescription opioid misuse among Medicaid beneficiaries and identifying subpopulations at higher risk for misuse and possible progression to an OUD.MethodsThe study goals were to explore the associations among prescription opioid misuse, OUD, and co-occurring mental health and other substance use disorders (SUD). We analyzed Illinois Medicaid 2018 claims data for 1102479 adult beneficiaries 18 to 64 years of age. Using algorithms based on previous studies, we first determined either the presence or absence of nine SUDS (including OUD), nine mental health disorders and likely prescription opioid misuse. Then, we subdivided the beneficiary sample into five groups: those who were prescribed opioids and evidenced either no, possible, or probable misuse; those evidencing an OUD; and those evidencing no opioid use or misuse.ResultsBivariate analyses, upset plots, and multinomial logistic regressions were used to compare the five subgroups on the prevalence of co-occurring SUDS and mental health disorders. Those with an OUD or with probable prescription opioid misuse had the highest prevalence of most co-occurring conditions with beneficiaries with an OUD the most likely to evidence co-occurring SUDS, particularly tobacco use disorder, whereas those with probable misuse had elevated prevalence rates of co-occurring mental health disorders comparable to those with an OUD.ConclusionThe medical complexity of persons with an OUD or misusing prescription opioids are considered in light of recent attempts to expand buprenorphine provision as a medication for OUD among Medicaid beneficiaries. Additionally, we consider the possibility of gender, co-occurring mental health disorders, and tobacco use disorder as important risk factors for progressing to prescription opioid misuse and an OUD.
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