scholarly journals Temporal Trends in Opioid Prescribing Patterns Among Oncologists in the Medicare Population

2020 ◽  
Author(s):  
Vikram Jairam ◽  
Daniel X Yang ◽  
Saamir Pasha ◽  
Pamela R Soulos ◽  
Cary P Gross ◽  
...  
Keyword(s):  
Negative Binomial ◽  
Temporal Trends ◽  
State Level ◽  
Negative Binomial Regression ◽  
Time Frame ◽  
Prescribing Patterns ◽  
Annual Number ◽  
Medicare Beneficiaries ◽  
Care Providers ◽  
Opioid Prescribing

Abstract Background In the wake of the US opioid epidemic, there have been efforts to curb opioid prescribing. However, it is unknown whether these efforts have affected prescribing among oncologists, whose patients often require opioids for symptom management. We investigated temporal patterns in opioid prescribing for Medicare beneficiaries among oncologists and nononcologists. Methods We queried the Centers for Medicare and Medicaid Services Part D prescriber dataset for all physicians between January 1, 2013, and December 31, 2017. We used population-averaged multivariable negative binomial regression to estimate the association between time and per-provider opioid and gabapentinoid prescribing rate, defined as the annual number of drug claims (original prescriptions and refills) per beneficiary, among oncologists and nononcologists on a national and state level. Results From 2013 to 2017, the national opioid-prescribing rate declined by 20.7% (P < .001) among oncologists and 22.8% (P < .001) among non oncologists. During this time frame, prescribing of gabapentin increased by 5.9% (P < .001) and 23.1% (P < .001) among oncologists and nononcologists, respectively. Among palliative care providers, opioid prescribe increased by 15.3% (P < .001). During the 5-year period, 43 states experienced a decrease (P < .05) in opioid prescribing among oncologists, and in 5 states, opioid prescribing decreased more among oncologists than nononcologists (P < .05). Conclusions Between 2013 and 2017, the opioid-prescribing rate statistically significantly decreased nationwide among oncologists and nononcologists, respectively. Given similar declines in opioid prescribing among oncologists and nononcologists, there is concern that opioid-prescribing guidelines intended for the noncancer population are being applied inappropriately to patients with cancer and cancer survivors.

Temporal trends in opioid prescribing patterns among oncologists in the Medicare population.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 12022-12022
Author(s):  
Vikram Jairam ◽  
Daniel X. Yang ◽  
Saamir Pasha ◽  
Pamela R. Soulos ◽  
Cary Philip Gross ◽  
...  
Keyword(s):  
New York ◽  
Negative Binomial ◽  
Temporal Trends ◽  
Negative Binomial Regression ◽  
The United States ◽  
Prescribing Patterns ◽  
Part D ◽  
Opioid Prescribing ◽  
Provider Characteristics ◽  
Final Study

12022 Background: In the wake of the United States (U.S.) opioid epidemic, there have been significant governmental and societal efforts to curb opioid prescribing. However, it is unknown whether these efforts have affected prescribing among oncologists, whose patient population often requires narcotics for symptom management. We investigated temporal patterns in opioid prescribing for Medicare patients among oncologists. Methods: We queried the Centers for Medicare and Medicaid Services Part D prescriber dataset to identify independently practicing physicians between January 1, 2013 and December 31, 2017. We used population-averaged multivariable negative binomial regression to estimate the association between time and per-provider opioid prescribing rate, defined as number of opioid claims (original prescriptions and refills) per 100 patients, among oncologists and non-oncologists on both a national and statewide level. All models were adjusted for provider characteristics and annual total patient count per provider. Results: The final study sample included 20,513 oncologists and 711,636 non-oncologists. From 2013 to 2017, the national opioid prescribing rate declined by 19.3% (68.8 to 55.5 opioid prescriptions per 100 patients; P< 0.001) among oncologists and 20.4% (50.7 to 40.3 prescriptions per 100 patients; P< 0.001) among non-oncologists. During this timeframe, 40 U.S. states experienced a significant ( P< 0.05) decrease in opioid prescribing among oncologists, most notably in Vermont (-43.2%), Idaho (-34.5%), and Maine (-32.8%). In comparison, all 50 states exhibited a significant decline ( P< 0.05) in opioid prescribing among non-oncologists. In 5 states, opioid prescribing decreased more among oncologists than non-oncologists, including Oklahoma (-24.6% vs. -7.1%), Idaho (-34.5% vs. -17.8%), Utah (-31.7% vs. -18.7%), Texas (-19.9% vs. -14.7%), and New York (-24.0% vs. -19.7%) (all P< 0.05). Conclusions: Between 2013 and 2017, the opioid prescribing rate decreased by approximately 20% nationwide among both oncologists and non-oncologists. These findings raise concerns about whether opioid prescribing legislation and guidelines intended for the non-cancer population are being applied inappropriately to patients with cancer and survivors.

scholarly journals Opioid Use Among Rural Medicare Beneficiaries

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 335-335
Author(s):  
Yvonne Jonk ◽  
Heidi O'Connor ◽  
Karen Pearson ◽  
Zachariah Croll ◽  
John Gale
Keyword(s):  
Primary Care ◽  
Rural Areas ◽  
Urban Areas ◽  
Primary Care Providers ◽  
Community Dwelling ◽  
Prescribing Patterns ◽  
Medicare Beneficiaries ◽  
Care Providers ◽  
Opioid Prescription ◽  
Opioid Prescribing

Abstract This study examines differences in opioid prescribing rates among a nationally representative sample of Medicare beneficiaries across rural and urban areas, as well as among beneficiaries with chronic overlapping pain conditions (COPCs). We assess whether prescribing patterns exceed the Centers for Disease Control and Prevention guidelines for dose and duration, and identify socioeconomic and health risk factors associated with opioid prescribing using logistic regression analyses. Data were from the 2010-2017 Medicare Current Beneficiary Survey files. Rural-Urban Commuting Area codes were used to identify patients’ residential location. The Area Health Resource Files were used to identify market characteristics such as primary care and mental health shortage areas. With the exception of 2010, over years 2011-2017, higher percentages of community-dwelling rural beneficiaries received opioid prescriptions (21.8-25.4%) compared to their urban counterparts (19.1-23.7%). During the same time period, facility-dwelling rural beneficiaries were more likely to receive opioid prescriptions (39.8-47.2%) compared to their urban counterparts (28.8-35.0%). Higher percentages (18.8%) of the community dwelling population in rural had COPCs compared to urban (15.2%), and a higher percentage of rural beneficiaries with COPCs (31.4%) received an opioid prescription than their urban counterparts (22.2%). Previous research points to other factors contributing to a lack of alternatives to opioids for pain management in rural areas, including greater reliance on primary care providers, lack of access to chronic pain specialists and alternative therapies, and travel barriers. Improving the capacity of rural primary care to deal with COPCs and expanding access to specialists via telehealth warrants further attention from policymakers.

scholarly journals Trends in Opioid Prescribing Among Hemodialysis Patients, 2007–2014

2018 ◽  
Vol 49 (1) ◽  
pp. 20-31 ◽  
Author(s):  
Matthew Daubresse ◽  
G. Caleb Alexander ◽  
Deidra C. Crews ◽  
Dorry L. Segev ◽  
Mara A. McAdams-DeMarco
Keyword(s):  
Low Income ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
The United States ◽  
Incidence Rates ◽  
Opioid Prescription ◽  
Opioid Prescribing ◽  
Hispanic Patients ◽  
Estimate Annual Incidence ◽  
National Trends

Background: Hemodialysis (HD) patients frequently experience pain. Previous studies of HD patients suggest increased opioid prescribing through 2010. It remains unclear if this trend continued after 2010 or declined with national trends. Methods: Longitudinal cohort study of 484,745 HD patients in the United States Renal Data System/Medicare data. We used Poisson/negative binomial regression to estimate annual incidence rates of opioid prescribing between 2007 and 2014. We compared prescribing rates with the general US population using IQVIA’s National Prescription Audit data. Outcomes included the following: percent of HD patients receiving an opioid prescription, rate of opioid prescriptions, quantity, days supply, morphine milligram equivalents (MME) dispensed per 100 person-days, and prescriptions per person. Results: In 2007, 62.4% of HD patients received an opioid prescription. This increased to 63.2% in 2010 then declined to 53.7% by 2014. Opioid quantity peaked in 2011 at 73.5 pills per 100 person-days and declined to 62.6 pills per 100 person-days in 2014. MME peaked between 2010 and 2012 then declined through 2014. In 2014, MME rates were 1.8-fold higher among non-Hispanic patients and 1.6-fold higher among low-income patients. HD patients received 3.2-fold more opioid prescriptions per person compared to the general US population and were primarily prescribed oxycodone and hydrocodone. Between 2012 and 2014, HD patients experienced greater declines in opioid prescriptions per person (18.2%) compared to the general US population (7.1%). Conclusion: Opioid prescribing among HD patients declined between 2012 and 2014. However, HD patients continue receiving substantially more opioids than the general US population.

scholarly journals Reproductive history of the Danish multiple sclerosis population: A register-based study

2019 ◽  
Vol 26 (8) ◽  
pp. 902-911 ◽  
Author(s):  
Julie Yoon Moberg ◽  
Bjarne Laursen ◽  
Lau Caspar Thygesen ◽  
Melinda Magyari
Keyword(s):  
Multiple Sclerosis ◽  
Regression Model ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Annual Number ◽  
Negative Binomial Regression Model ◽  
Live Births ◽  
Multiple Sclerosis Population ◽  
History Of ◽  
Ectopic Pregnancies

Background: A diagnosis of multiple sclerosis (MS) may impact the choice of parenthood. Objective: To investigate the number of live births, abortions and ectopic pregnancies among persons with MS. Methods: From the Danish Multiple Sclerosis Registry, we extracted data from all persons diagnosed with MS from 1960 to 1996 and matched each MS person with four reference persons. We used a negative binomial regression model for the live births and Poisson regression model for abortions and ectopic pregnancies. The total fertility rate (TFR) during 1960–2016 and the annual number of live births in the MS population were analysed. Results: Persons with MS had fewer children than reference persons. Fewer women with MS had elective abortions after diagnosis (incidence rate ratio (IRR) = 0.88; 95% confidence interval (CI) = 0.78–1.00) than reference persons. There was no difference regarding the number of elective abortions, spontaneous abortions or ectopic pregnancies after onset. The TFR was lower for women with MS than for reference persons, and the number of annual live births by MS persons increased during 1960–2016. Conclusion: MS seems to considerably impact reproductive choices, especially after clinical diagnosis, resulting in the MS population having fewer children than the general population.

scholarly journals Smoke-free legislation and paediatric hospitalisations for acute respiratory tract infections: national quasi-experimental study with unexpected findings and important methodological implications

2017 ◽  
Vol 27 (e2) ◽  
pp. e160-e166 ◽  
Author(s):  
Jasper V Been ◽  
Daniel F Mackay ◽  
Christopher Millett ◽  
Ireneous Soyiri ◽  
Constant P van Schayck ◽  
...  
Keyword(s):  
Respiratory Tract ◽  
Respiratory Tract Infections ◽  
Negative Binomial ◽  
Temporal Trends ◽  
Pneumococcal Vaccination ◽  
Negative Binomial Regression ◽  
Break Point ◽  
Negative Binomial Regression Model ◽  
Published Evidence ◽  
Tract Infections

ObjectivesWe investigated whether Scottish implementation of smoke-free legislation was associated with a reduction in unplanned hospitalisations or deaths (‘events’) due to respiratory tract infections (RTIs) among children.DesignInterrupted time series (ITS).Setting/participantsChildren aged 0–12 years living in Scotland during 1996–2012.InterventionNational comprehensive smoke-free legislation (March 2006).Main outcome measureAcute RTI events in the Scottish Morbidity Record-01 and/or National Records of Scotland Death Records.Results135 134 RTI events were observed over 155 million patient-months. In our prespecified negative binomial regression model accounting for underlying temporal trends, seasonality, sex, age group, region, urbanisation level, socioeconomic status and seven-valent pneumococcal vaccination status, smoke-free legislation was associated with an immediate rise in RTI events (incidence rate ratio (IRR)=1.24, 95% CI 1.20 to 1.28) and an additional gradual increase (IRR=1.05/year, 95% CI 1.05 to 1.06). Given this unanticipated finding, we conducted a number of post hoc exploratory analyses. Among these, automatic break point detection indicated that the rise in RTI events actually preceded the smoke-free law by 16 months. When accounting for this break point, smoke-free legislation was associated with a gradual decrease in acute RTI events: IRR=0.91/year, 95% CI 0.87 to 0.96.ConclusionsOur prespecified ITS approach suggested that implementation of smoke-free legislation in Scotland was associated with an increase in paediatric RTI events. We were concerned that this result, which contradicted published evidence, was spurious. The association was indeed reversed when accounting for an unanticipated antecedent break point in the temporal trend, suggesting that the legislation may in fact be protective. ITS analyses should be subjected to comprehensive robustness checks to assess consistency.

scholarly journals Retracted: Analysis of the Strength of Legal Firearms Restrictions for Perpetrators of Domestic Violence and Their Associations With Intimate Partner Homicide

2017 ◽  
Vol 187 (7) ◽  
pp. 1449-1455 ◽  
Author(s):  
April M Zeoli ◽  
Alexander McCourt ◽  
Shani Buggs ◽  
Shannon Frattaroli ◽  
David Lilley ◽  
...  
Keyword(s):  
Domestic Violence ◽  
Fixed Effects ◽  
Negative Binomial ◽  
State Level ◽  
Negative Binomial Regression ◽  
Intimate Partner ◽  
Restraining Order ◽  
Level Data ◽  
Binomial Regression ◽  
Firearms Restrictions

Abstract In this research, we estimate the association of firearm restrictions for domestic violence offenders with intimate partner homicides (IPHs) on the basis of the strength of the policies. We posit that the association of firearm laws with IPHs depends on the following characteristics of the laws: 1) breadth of coverage of high-risk individuals and situations restricted; 2) power to compel firearm surrender or removal from persons prohibited from having firearms; and 3) systems of accountability that prevent those prohibited from doing so from obtaining guns. We conducted a quantitative policy evaluation using annual state-level data from 1980 through 2013 for 45 US states. Based on the results of a series of robust, negative binomial regression models with state fixed effects, domestic violence restraining order firearm-prohibition laws are associated with 10% reductions in IPH. Statistically significant protective associations were evident only when restraining order prohibitions covered dating partners (−11%) and ex parte orders (−12%). Laws prohibiting access to those convicted of nonspecific violent misdemeanors were associated with a 24% reduction in IPH rates; there was no association when prohibitions were limited to domestic violence. Permit-to-purchase laws were associated with 10% reductions in IPHs. These findings should inform policymakers considering laws to maximize protections against IPH.

scholarly journals Suicide by pesticide poisoning in India: a review of pesticide regulations and their impact on suicide trends

2019 ◽  
Author(s):  
Toby Bonvoisin ◽  
Leah Utyasheva ◽  
Duleeka Knipe ◽  
David Gunnell ◽  
Michael Eddleston
Keyword(s):  
Negative Binomial ◽  
Public Health Problem ◽  
State Level ◽  
Negative Binomial Regression ◽  
World Health ◽  
State Governments ◽  
Suicide Rates ◽  
Level Data ◽  
Agricultural Yield ◽  
Health Organization

Abstract Background Pesticide self-poisoning is a common means of suicide in India. Banning highly hazardous pesticides (HHPs) from agricultural use has been successful in reducing suicides in several Asian countries without affecting agricultural output. Here, we describe national and state-level regulation of HHPs and explore how they might relate to suicide rates across India.Methods Information on pesticide regulation was collated from agriculture departments of the central and state governments. National and state-level data on suicides from 1995 to 2015 were obtained from the National Crime Records Bureau (NCRB). We used joinpoint analysis and negative binomial regression to investigate any effects on trends in suicide rates nationally and in Kerala.Results As of October 2019, 318 pesticides were registered for use in India, of which 18 were extremely (Class Ia) or highly (Class Ib) hazardous according to World Health Organization criteria. Despite many HHPs still being available, several bans have been implemented during the period studied. In our quantitative analyses we focused on the permanent bans in Kerala in 2005 (of endosulfan) and 2011 (of 14 other pesticides); and nationally in 2011 (of endosulfan). NCRB data indicate that pesticides were used in 441,918 reported suicides in India from 1995-2015, 90.3% of which occurred in 11 of the 29 states. There was statistical evidence of lower than expected rates of pesticide suicides (rate ratio [RR] 0.52, 95% CI 0.49-0.54) and total suicides nationally by 2014 (0.90, 0.87-0.93) after the 2011 endosulfan ban. In Kerala, there was a lower than expected pesticide suicide rate (0.45, 0.42-0.49), but no change to the already decreasing trend in total suicides after the 2011 ban of 14 pesticides. The 2005 ban on endosulfan showed a similar effect. Agricultural outputs continued growing following the bans.Discussion Highly hazardous pesticides continue to be used in India and pesticide suicide remains a serious public health problem. However, some pesticide bans do appear to have impacted previous trends in the rates of both pesticide suicides and all suicides. Comprehensive national bans of HHPs could lead to a reduction in suicides across India, in addition to reduced occupational poisoning, with minimal effects on agricultural yield.

scholarly journals Temporal trends and socioeconomic differences in acute respiratory infection hospitalisations in children: an intercountry comparison of birth cohort studies in Western Australia, England and Scotland

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e028710 ◽  
Author(s):  
Hannah C Moore ◽  
Nicholas de Klerk ◽  
Christopher C Blyth ◽  
Ruth Gilbert ◽  
Parveen Fathima ◽  
...  
Keyword(s):  
Cohort Studies ◽  
Western Australia ◽  
Negative Binomial ◽  
Respiratory Infections ◽  
Temporal Trends ◽  
Admission Rate ◽  
Negative Binomial Regression ◽  
Socioeconomic Disparities ◽  
Birth Cohorts ◽  
Common Diagnosis

ObjectivesAcute respiratory infections (ARIs) are a global cause of childhood morbidity. We compared temporal trends and socioeconomic disparities for ARI hospitalisations in young children across Western Australia, England and Scotland.DesignRetrospective population-based cohort studies using linked birth, death and hospitalisation data.Setting and participantsPopulation birth cohorts spanning 2000–2012 (Western Australia and Scotland) and 2003–2012 (England).Outcome measuresARI hospitalisations in infants (<12 months) and children (1–4 years) were identified through International Classification of Diseases, 10th edition diagnosis codes. We calculated admission rates per 1000 child-years by diagnosis and jurisdiction-specific socioeconomic deprivation and used negative binomial regression to assess temporal trends.ResultsThe overall infant ARI admission rate was 44.3/1000 child-years in Western Australia, 40.7/1000 in Scotland and 40.1/1000 in England. Equivalent rates in children aged 1–4 years were 9.0, 7.6 and 7.6. Bronchiolitis was the most common diagnosis. Compared with the least socioeconomically deprived, those most deprived had higher ARI hospitalisation risk (incidence rate ratio 3.9 (95% CI 3.5 to 4.2) for Western Australia; 1.9 (1.7 to 2.1) for England; 1.3 (1.1 to 1.4) for Scotland. ARI admissions in infants were stable in Western Australia but increased annually in England (5%) and Scotland (3%) after adjusting for non-ARI admissions, sex and deprivation.ConclusionsAdmissions for ARI were higher in Western Australia and displayed greater socioeconomic disparities than England and Scotland, where ARI rates are increasing. Prevention programmes focusing on disadvantaged populations in all three countries are likely to translate into real improvements in the burden of ARI in children.

scholarly journals Statewide Interventions and Covid-19 Mortality in the United States: An Observational Study

2020 ◽  
Author(s):  
Nadir Yehya ◽  
Atheendar Venkataramani ◽  
Michael O Harhay
Keyword(s):  
United States ◽  
Negative Binomial ◽  
State Level ◽  
Negative Binomial Regression ◽  
The United States ◽  
School Closure ◽  
Sensitivity Analyses ◽  
Test Model ◽  
School Closures ◽  
Social Distancing

ABSTRACT Background Social distancing is encouraged to mitigate viral spreading during outbreaks. However, the association between distancing and patient-centered outcomes in Covid-19 has not been demonstrated. In the United States social distancing orders are implemented at the state level with variable timing of onset. Emergency declarations and school closures were two early statewide interventions. Methods To determine whether later distancing interventions were associated with higher mortality, we performed a state-level analysis in 55,146 Covid-19 non-survivors. We tested the association between timing of emergency declarations and school closures with 28-day mortality using multivariable negative binomial regression. Day 1 for each state was set to when they recorded ≥ 10 deaths. We performed sensitivity analyses to test model assumptions. Results At time of analysis, 37 of 50 states had ≥ 10 deaths and 28 follow-up days. Both later emergency declaration (adjusted mortality rate ratio [aMRR] 1.05 per day delay, 95% CI 1.00 to 1.09, p=0.040) and later school closure (aMRR 1.05, 95% CI 1.01 to 1.09, p=0.008) were associated with more deaths. When assessing all 50 states and setting day 1 to the day a state recorded its first death, delays in declaring an emergency (aMRR 1.05, 95% CI 1.01 to 1.09, p=0.020) or closing schools (aMRR 1.06, 95% CI 1.03 to 1.09, p&lt;0.001) were associated with more deaths. Results were unchanged when excluding New York and New Jersey. Conclusions Later statewide emergency declarations and school closure were associated with higher Covid-19 mortality. Each day of delay increased mortality risk 5 to 6%.

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