Dataset Information

Persistent Opioid Use After Hysterectomy in the United States, 2005-2015.

ABSTRACT:

Objective

To assess variables associated with opioid prescriptions filled perioperatively after hysterectomy and the risk of prolonged opioid use through 1 year after hysterectomy.

Methods

In this retrospective cohort study, we used the 2005-2015 IBM MarketScan databases to identify women aged at least 18 years who underwent hysterectomy. For opioid use, we identified filled prescriptions for opioid medications. We excluded women with prevalent opioid use, defined as an opioid prescription filled 180 to 30 days preoperatively or at least two prescriptions filled in the 30 days before surgery. We defined perioperative opioid use as any opioid prescription filled within 30 days before or 7 days after surgery. We used log-binomial regression to identify independent predictors of perioperative opioid prescription fill. To assess the risk of long-term opioid use, we estimated the proportion of women with ongoing monthly opioid prescriptions through 12 months after surgery and the proportion of women with any opioid prescription 3-6 months after surgery, mimicking published estimates.

Results

Among 569,634 women who underwent hysterectomy during the study period, 176,537 (30.9%) were excluded owing to prevalent opioid use. We found that 331,322 (84.3%) women filled a perioperative opioid prescription, with median quantity of 30 pills (interquartile range 25-40), and that younger (adjusted risk ratio [adjRR]18-24 0.91) and older (adjRR65-74 0.84; adjRR75+ 0.70) patients were less likely to receive a perioperative prescription compared with women aged 45-54. The proportion of women with continuous monthly fills of opioids through 2, 3, 6, and 12 months after surgery was 1.40%, 0.34%, 0.06%, and 0.02%, respectively.

Conclusion

Most women who underwent hysterectomy in the United States from 2005 to 2015 filled a perioperative opioid prescription with a median quantity of 30 pills. The risk of prolonged opioid use through 6 months is quite low, at 0.06% or 1 in 1,547.

SUBMITTER: Young JC

PROVIDER: S-EPMC7236400 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Persistent Opioid Use After Hysterectomy in the United States, 2005-2015.

Young Jessica C JC Wu Jennifer M JM Willis-Gray Marcella M Pate Virginia V Jonsson Funk Michele M

Obstetrics and gynecology 20200101 1

<h4>Objective</h4>To assess variables associated with opioid prescriptions filled perioperatively after hysterectomy and the risk of prolonged opioid use through 1 year after hysterectomy.<h4>Methods</h4>In this retrospective cohort study, we used the 2005-2015 IBM MarketScan databases to identify women aged at least 18 years who underwent hysterectomy. For opioid use, we identified filled prescriptions for opioid medications. We excluded women with prevalent opioid use, defined as an opioid pre ...[more]

PMID: 31809429

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Project description:BackgroundDespite substantial reductions in the past decade, prescription opioids continue to cause widespread morbidity and mortality in the United States. Little is known regarding patterns and predictors of opioid use among women undergoing benign hysterectomy.ObjectiveThis study aimed to identify the incidence and predictors of new persistent opioid use after benign hysterectomy among opioid-naïve women from a set of demographic, operative, and opioid prescription characteristics of patients.Study designIn this retrospective cohort study, we identified women undergoing benign hysterectomy from 2011 to 2016 using a validated national insurance claims database (IBM MarketScan Commercial Database). After excluding women with prevalent opioid use (from 365 to 31 days preoperatively), we identified patients who received a perioperative opioid prescription (30 days before to 14 days after hysterectomy) and evaluated them for new persistent opioid use, defined as at least 1 prescription from 15 to 90 days and at least 1 prescription from 91 to 365 days postoperatively. Multivariate logistic regression was used to examine demographic, clinical, operative, and opioid prescription-related factors associated with new persistent use. International Classification of Diseases, Ninth and Tenth Revisions, and Clinical Classification Software codes were used to identify hysterectomies, preoperative pain and psychiatric diagnoses, surgical indications, and surgical complications included as covariates.ResultsWe identified 114,260 women who underwent benign hysterectomy and were not prevalent opioid users, of which 93,906 (82.2%) received at least 1 perioperative opioid prescription. Of 93,906 women, 4334 (4.6%) developed new persistent opioid use. Logistic regression demonstrated that new persistent use odds is significantly increased by younger age (18-34 years; adjusted odds ratio, 1.97; 95% confidence interval, 1.69-2.30), southern geographic location (adjusted odds ratio, 2.03; 95% confidence interval, 1.79-2.27), preoperative psychiatric and pain disorders (anxiety: adjusted odds ratio, 1.20 [95% confidence interval, 1.09-1.33]; arthritis: adjusted odds ratio, 1.30 [95% confidence interval, 1.21-1.40]), >1 perioperative prescription (adjusted odds ratio, 1.53; 95% confidence interval, 1.24-1.88), mood disorder medication use (adjusted odds ratio, 1.51; 95% confidence interval, 1.40-1.64), tobacco smoking (adjusted odds ratio, 1.65; 95% confidence interval, 1.45-1.89), and surgical complications (adjusted odds ratio, 1.84; 95% confidence interval, 1.69-2.00). Although statistically nonsignificant, total morphine milligram equivalent of ≥300 in the first perioperative prescription increased persistent use likelihood by 9% (95% confidence interval, 1.01-1.17). Dispensing of a first perioperative prescription before the surgery, as opposed to after, increased new persistent use odds by 61% (95% confidence interval, 1.50-1.72). Each additional perioperative day covered by a prescription increased the likelihood of persistent use by 2% (95% confidence interval, 1.02-1.03). In contrast, minimally invasive hysterectomy (laparoscopic: adjusted odds ratio, 0.89 [95% confidence interval, 0.71-0.88]; vaginal: adjusted odds ratio, 0.82 [95% confidence interval, 0.72-0.93]) and a more recent surgery year (2016 vs reference 2011: adjusted odds ratio 0.58; 95% confidence interval, 0.51-0.65) significantly decreased its likelihood.ConclusionNew persistent opioid use after hysterectomy was associated with several patient, operative, and opioid prescription-related factors. Considering these factors may be beneficial in counseling patients and shared decision-making about perioperative prescription to decrease the risk of persistent opioid use.

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.

Project description:ImportanceAlthough overall rates of opioid use have been plateauing, coprescriptions of benzodiazepines and opioids have increased greatly in recent years. It is unknown whether this combination is an independent risk factor for all-cause mortality as opposed to being more frequently used by persons with a baseline elevated risk of death.ObjectiveTo evaluate whether benzodiazepine use, with or without opioid use, is associated with increased all-cause mortality relative to the use of low-risk antidepressants.Design, setting, and participantsThis retrospective cohort study used a large, nationally representative US data set (the National Health and Nutrition Examination Surveys [NHANES]) from 1999 to 2015. Eight cycles of NHANES data were used, spanning 37 610 person-years of follow-up time among 5212 individuals. Statistical analysis was performed from August 24, 2019, through May 23, 2020.ExposuresThe primary exposure variable was benzodiazepine and opioid coprescriptions. Individuals taking selective serotonin reuptake inhibitors (SSRIs) served as an active comparator reference group.Main outcomes and measuresAll-cause mortality was obtained via linkage of NHANES to the National Death Index. Propensity scores were calculated from covariates associated with sociodemographic factors, comorbidities, and medication use for more than 1000 prescription types. Propensity score-weighted mortality hazards were calculated from Cox proportional hazards regression models.ResultsOf 5212 participants aged 20 years or older (1993 men [38.2%]; mean [SD] age, 54.8 [16.9] years) followed up for a median of 6.7 years (range, 0.2-16.8 years), 101 deaths (33.0 per 1000 person-years) occurred among those receiving cotreatment, 236 deaths (26.5 per 1000 person-years) occurred among those receiving only benzodiazepines, and 227 deaths (20.2 per 1000 person-years) occurred among SSRI recipients taking neither opioids nor benzodiazepines. After propensity score weighting, a significant increase in all-cause mortality was associated with benzodiazepine and opioid cotreatment (hazard ratio, 2.04 [95% CI, 1.65-2.52]) and benzodiazepines without opioids (hazard ratio, 1.60 [95% CI, 1.33-1.92]). Subgroup analyses revealed an increased risk of mortality for individuals receiving cotreatment who were 65 years or younger but not for those older than 65 years; similar findings were observed for those receiving benzodiazepines without opioids.Conclusions and relevanceThis study found a significant increase in all-cause mortality associated with benzodiazepine use with or without opioid use in comparison with SSRI use. Benzodiazepine and opioid cotreatment, in particular, was associated with a 2-fold increase in all-cause mortality even after taking into account medical comorbidities and polypharmacy burden.

Project description:ImportanceRecent US health care reforms incentivize improved population health outcomes and primary care functions. It remains unclear how much improving primary care physician supply can improve population health, independent of other health care and socioeconomic factors.ObjectivesTo identify primary care physician supply changes across US counties from 2005-2015 and associations between such changes and population mortality.Design, setting, and participantsThis epidemiological study evaluated US population data and individual-level claims data linked to mortality from 2005 to 2015 against changes in primary care and specialist physician supply from 2005 to 2015. Data from 3142 US counties, 7144 primary care service areas, and 306 hospital referral regions were used to investigate the association of primary care physician supply with changes in life expectancy and cause-specific mortality after adjustment for health care, demographic, socioeconomic, and behavioral covariates. Analysis was performed from March to July 2018.Main outcomes and measuresAge-standardized life expectancy, cause-specific mortality, and restricted mean survival time.ResultsPrimary care physician supply increased from 196 014 physicians in 2005 to 204 419 in 2015. Owing to disproportionate losses of primary care physicians in some counties and population increases, the mean (SD) density of primary care physicians relative to population size decreased from 46.6 per 100 000 population (95% CI, 0.0-114.6 per 100 000 population) to 41.4 per 100 000 population (95% CI, 0.0-108.6 per 100 000 population), with greater losses in rural areas. In adjusted mixed-effects regressions, every 10 additional primary care physicians per 100 000 population was associated with a 51.5-day increase in life expectancy (95% CI, 29.5-73.5 days; 0.2% increase), whereas an increase in 10 specialist physicians per 100 000 population corresponded to a 19.2-day increase (95% CI, 7.0-31.3 days). A total of 10 additional primary care physicians per 100 000 population was associated with reduced cardiovascular, cancer, and respiratory mortality by 0.9% to 1.4%. Analyses at different geographic levels, using instrumental variable regressions, or at the individual level found similar benefits associated with primary care supply.Conclusions and relevanceGreater primary care physician supply was associated with lower mortality, but per capita supply decreased between 2005 and 2015. Programs to explicitly direct more resources to primary care physician supply may be important for population health.

Project description:BackgroundFor patients with cancer, marijuana may be an alternative to prescription opioid analgesics. This study analyzed self-reported marijuana and prescription opioid use among people with cancer over a 10-year time period.MethodsPopulation-based data sets from the US National Health and Nutrition Examination Survey between 2005 and 2014 were compiled for respondents aged 20 to 60 years. Respondents with cancer and respondents without cancer were propensity score-matched (1:2) by demographics to compare substance use. Outcomes included current marijuana and prescription opioid use (ie, within the past 30 days). Pearson chi-square tests and logistic regressions were performed; a 2-tailed P value < .05 was significant.ResultsThere were 19,604 respondents, and 826 people with cancer were matched to 1652 controls. Among the respondents with cancer, 40.3% used marijuana within the past year, and 8.7% used it currently. Respondents with cancer were significantly more likely to use prescription opioids (odds ratio [OR], 2.43; 95% CI, 1.68-3.57; P < .001). Cancer was not associated with current marijuana use in a multivariable conditional logistic regression but was associated with current opioid use (OR, 1.82; 95% CI, 1.17-2.82; P = .008). Among all survey respondents, the odds of marijuana use significantly increased over time (OR, 1.05; 95% CI, 1.01-1.10; P = .012), whereas the odds of opioid use did not significantly change. There were no significant differences in the longitudinal odds of marijuana or opioid use over time between respondents with a cancer diagnosis and those without one.ConclusionsThis population-based analysis revealed a considerable proportion of respondents with cancer self-reporting marijuana use (40.3%) and a significantly higher prevalence of opioid use among respondents with cancer. In the midst of an opioid epidemic, an evolving political landscape, and new developments in oncology, quantifying the prevalence of opioid and marijuana use in the US population, especially among patients with cancer, is particularly relevant. Although opioid use did not significantly change from 2005 to 2014 among all respondents, marijuana use did increase, likely reflecting increased availability and legislative changes. A cancer diagnosis did not significantly affect longitudinal opioid or marijuana use.

Dataset Information

Persistent Opioid Use After Hysterectomy in the United States, 2005-2015.

Objective

Methods

Results

Conclusion

Publications

Persistent Opioid Use After Hysterectomy in the United States, 2005-2015.

Similar Datasets

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