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

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.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 12022-12022
Author(s):  
Vikram Jairam ◽  
Daniel X. Yang ◽  
Saamir Pasha ◽  
Pamela R. Soulos ◽  
Cary Philip Gross ◽  
...  

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.


2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Tanya Libby ◽  
Paula Clogher ◽  
Elisha Wilson ◽  
Nadine Oosmanally ◽  
Michelle Boyle ◽  
...  

Abstract Background Shigella causes an estimated 500 000 enteric illnesses in the United States annually, but the association with socioeconomic factors is unclear. Methods We examined possible epidemiologic associations between shigellosis and poverty using 2004–2014 Foodborne Diseases Active Surveillance Network (FoodNet) data. Shigella cases (n = 21 246) were geocoded, linked to Census tract data from the American Community Survey, and categorized into 4 poverty and 4 crowding strata. For each stratum, we calculated incidence by sex, age, race/ethnicity, and FoodNet site. Using negative binomial regression, we estimated incidence rate ratios (IRRs) comparing the highest to lowest stratum. Results Annual FoodNet Shigella incidence per 100 000 population was higher among children &lt;5 years old (19.0), blacks (7.2), and Hispanics (5.6) and was associated with Census tract poverty (incidence rate ratio [IRR], 3.6; 95% confidence interval [CI], 3.5–3.8) and household crowding (IRR, 1.8; 95% CI, 1.7–1.9). The association with poverty was strongest among children and persisted regardless of sex, race/ethnicity, or geographic location. After controlling for demographic variables, the association between shigellosis and poverty remained significant (IRR, 2.3; 95% CI, 2.0–2.6). Conclusions In the United States, Shigella infections are epidemiologically associated with poverty, and increased incidence rates are observed among young children, blacks, and Hispanics.


2021 ◽  
Author(s):  
Andrew M. Watson ◽  
Kristin Haraldsdottir ◽  
Kevin Biese ◽  
Leslie Goodavish ◽  
Bethany Stevens ◽  
...  

ABSTRACT Context: As sports reinitiate around the country, the incidence of COVID-19 among youth soccer athletes remains unknown. Objective: To determine the incidence of COVID-19 among youth soccer athletes and the risk mitigation practices utilized by youth soccer organizations. Design: Retrospective cohort. Participants: Youth soccer club directors throughout the United States. Main Outcome Measures: Surveys were completed in late August 2020 regarding phase of return to soccer (individual only, group non-contact, group contact), date of reinitiation, number of players, cases of COVID-19, and risk reduction procedures being implemented. Case and incidence rates were compared to national pediatric data and county data from the prior 10 weeks. A negative binomial regression model was developed to predict club COVID-19 cases with local incidence rate and phase of return as covariates and the log of club player-days as an offset. Results: 124 respondents had reinitiated soccer, representing 91,007 players with a median duration of 73 days (IQR: 53-83 days) since restarting. Of the 119 that had progressed to group activities, 218 cases of COVID-19 were reported among 85,861 players. Youth soccer players had a lower case rate and incidence rate than children in the US (254 v. 477 cases per 100,000; incidence rate ratio [IRR]=0.511, 95% CI = [0.40-0.57], p&lt;0.001) and the general population from the counties where data was available (268 v. 864 cases per 100,000; IRR=0.202 [0.19–0.21], p&lt;0.001). After adjusting for local COVID-19 incidence, there was no relationship between club COVID-19 incidence and phase of return (non-contact: b=0.35±0.67, p=0.61; contact: b=0.18±0.67, p=0.79). Soccer clubs reported utilizing a median of 8 (IQR: 6-10) risk reduction procedures. Conclusions: The incidence of COVID-19 among youth soccer athletes is relatively low when compared to the background incidence among children in the United States in summer of 2020. No relationship was identified between club COVID-19 incidence and phase of return to soccer.


Author(s):  
Cushla M Coffey ◽  
Sarah A Collier ◽  
Michelle E Gleason ◽  
Jonathan S Yoder ◽  
Martyn D Kirk ◽  
...  

Abstract Background Giardiasis is the most common intestinal parasitic disease of humans identified in the United States (US) and an important waterborne disease. In the United States, giardiasis has been variably reportable since 1992 and was made a nationally notifiable disease in 2002. Our objective was to describe the epidemiology of US giardiasis cases from 1995 through 2016 using National Notifiable Diseases Surveillance System data. Methods Negative binomial regression models were used to compare incidence rates by age group (0–4, 5–9, 10–19, 20–29, 30–39, 40–49, 50–64, and ≥ 65 years) during 3 time periods (1995–2001, 2002–2010, and 2011–2016). Results During 1995–2016, the average number of reported cases was 19 781 per year (range, 14 623–27 778 cases). The annual incidence of reported giardiasis in the United States decreased across all age groups. This decrease differs by age group and sex and may reflect either changes in surveillance methods (eg, changes to case definitions or reporting practices) or changes in exposure. Incidence rates in males and older age groups did not decrease to the same extent as rates in females and children. Conclusions Trends suggest that differences in exposures by sex and age group are important to the epidemiology of giardiasis. Further investigation into the risk factors of populations with higher rates of giardiasis will support prevention and control efforts.


2017 ◽  
Vol 4 (1) ◽  
pp. 16
Author(s):  
William Milczarski ◽  
Peter Tuckel ◽  
Richard Maisel

Purpose: To provide an updated and comparative analysis of injury-related falls from bicycles, skateboards, roller skates and non-motorized scooters.Methods: The study uses two national databases – the Nationwide Emergency Department Sample and the Nationwide Inpatient Sample  – and subnational databases for New York, California, and Maryland.  Univariate and multivariate analyses (negative binomial regression) are performed to identify effects of age, gender, racial-ethnic background, and region on the incidence of injury-related falls from each of the four devices.Results: The rate of injuries due to falls from bicycles far surpasses the rates due to falls from the other devices.  When a measure of “exposure” is taken into consideration, however, the rate of injuries from skateboards outstrips the rates from bicycles or roller skates.  The profile of patients who are injured from falls from each of the four devices is distinctive.  Asian-Americans are greatly underrepresented among those who suffer a fall-related injury from any of the four devices.  The incidence of injuries attributable to falls varies considerably by geographic region.Conclusions: Public health officials need to be mindful that while certain activities such as scootering might be gaining in popularity, the number of injuries sustained from bicycles still dwarfs the number attributable to falls from skateboards, roller skates, and scooters combined.  Thus special attention needs to be paid to both prevent falls from bicycles and specific treatment modalities.  It is important for public health officials to gather injury data at the local level to allocate prevention and treatment resources more efficiently.


2014 ◽  
Vol 56 (6) ◽  
pp. 533-539 ◽  
Author(s):  
Tiegang Li ◽  
Zhicong Yang ◽  
Xiangyi Liu ◽  
Yan Kang ◽  
Ming Wang

Hand-foot-and-mouth disease (HFMD) is becoming one of the extremely common airborne and contact transmission diseases in Guangzhou, southern China, leading public health authorities to be concerned about its increased incidence. In this study, it was used an ecological study plus the negative binomial regression to identify the epidemic status of HFMD and its relationship with meteorological variables. During 2008-2012, a total of 173,524 HFMD confirmed cases were reported, 12 cases of death, yielding a fatality rate of 0.69 per 10,000. The annual incidence rates from 2008 to 2012 were 60.56, 132.44, 311.40, 402.76, and 468.59 (per 100,000), respectively, showing a rapid increasing trend. Each 1 °C rise in temperature corresponded to an increase of 9.47% (95% CI 9.36% to 9.58%) in the weekly number of HFMD cases, while a one hPa rise in atmospheric pressure corresponded to a decrease in the number of cases by 7.53% (95% CI -7.60% to -7.45%). Similarly, each one percent rise in relative humidity corresponded to an increase of 1.48% or 3.3%, and a one meter per hour rise in wind speed corresponded to an increase of 2.18% or 4.57%, in the weekly number of HFMD cases, depending on the variables considered in the model. These findings revealed that epidemic status of HFMD in Guangzhou is characterized by high morbidity but low fatality. Weather factors had a significant influence on the incidence of HFMD.


2019 ◽  
Vol 3 (22;3) ◽  
pp. 229-240 ◽  
Author(s):  
Yola Moride

Background: Canada and the United States have the highest levels of prescription opioid consumption in the world. In an attempt to curb the opioid epidemic, a variety of interventions have been implemented. Thus far, evidence regarding their effectiveness has not been consolidated. Objectives: The objectives of this study were to: 1) identify interventions that target opioid prescribing; 2) assess and compare the effectiveness of interventions on opioid prescription and related harms; 3) determine the methodological quality of evaluation studies. Study Design: The study involved a systematic review of the literature including bibliographical databases and gray literature sources. Setting: Systematic review including bibliographical databases and gray literature sources. Methods: We searched MEDLINE, Embase, and LILACS databases from January 1, 2005 to September 23, 2016 for any intervention that targeted the prescription of opioids. We also examined websites of relevant organizations and scanned bibliographies of included articles and reviews for additional references. The target population was that of all health care providers (HCPs) or users of opioids with no restriction on indication. Endpoints were those related to process (implementation), outcomes (effectiveness), or impact. Sources were screened independently by 2 reviewers using pre-defined eligibility criteria. Synthesis of findings was qualitative; no pooling of results was conducted. Results: Literature search yielded 12,278 unique sources. Of these, 142 were retained. During full-text review, 75 were further excluded. Searches of the gray literature and bibliographies yielded 49 additional sources. Thus, a total of 95 distinct interventions were identified. Over half consisted of prescription monitoring programs (PMPs) and mainly targeted HCPs. Evaluation studies addressed mainly opioid prescription rate (30.6%), opioid use (19.4%), or doctor shopping or diversion (9.7%). Fewer studies considered overdose death (9.7%), abuse (9.7%), misuse (4.2%), or diversion (5.6%). Study designs consisted of cross-sectional surveys (23.3%), pre-post intervention (26.7%), or time series without a comparison group (13.3%), which limit the robustness of the evidence. Although PMPs and policies have been associated with a reduction in opioid prescription, their impact on appropriateness of use according to clinical guidelines and restriction of access to patients in need is inconsistent. Continuing medical education (CME) and pain management programs were found effective in improving chronic pain management, but studies were conducted in specific settings. The impact of interventions on abuse and overdose-death is conflicting. Limitations: Due to the very large number of publications and programs found, it was difficult to compare interventions owing to the heterogeneity of the programs and to the methodologies of evaluation studies. No assessment of publication bias was done in the review. Conclusions: Evidence of effectiveness of interventions targeting the prescription of opioids is scarce in the literature. Although PMPs have been associated with a reduction in the overall prescription rates of Schedule II opioids, their impact on the appropriateness of use taking into consideration benefits, misuse, legal and illegal use remains elusive. Our review suggests that existing interventions have not addressed all determinants of inappropriate opioid prescribing and usage. A well-described theoretical framework would be the backdrop against which targeted interventions or policies may be developed. Key words: Opioid, prescription, abuse, misuse, diversion, interventions, prescription monitoring programs


Author(s):  
Erica N. Spotswood ◽  
Matthew Benjamin ◽  
Lauren Stoneburner ◽  
Megan M. Wheeler ◽  
Erin E. Beller ◽  
...  

AbstractUrban nature—such as greenness and parks—can alleviate distress and provide space for safe recreation during the COVID-19 pandemic. However, nature is often less available in low-income populations and communities of colour—the same communities hardest hit by COVID-19. In analyses of two datasets, we quantified inequity in greenness and park proximity across all urbanized areas in the United States and linked greenness and park access to COVID-19 case rates for ZIP codes in 17 states. Areas with majority persons of colour had both higher case rates and less greenness. Furthermore, when controlling for sociodemographic variables, an increase of 0.1 in the Normalized Difference Vegetation Index was associated with a 4.1% decrease in COVID-19 incidence rates (95% confidence interval: 0.9–6.8%). Across the United States, block groups with lower income and majority persons of colour are less green and have fewer parks. Our results demonstrate that the communities most impacted by COVID-19 also have the least nature nearby. Given that urban nature is associated with both human health and biodiversity, these results have far-reaching implications both during and beyond the pandemic.


Author(s):  
Vikram Jairam ◽  
Daniel X Yang ◽  
Saamir Pasha ◽  
Pamela R Soulos ◽  
Cary P Gross ◽  
...  

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 &lt; .001) among oncologists and 22.8% (P &lt; .001) among non oncologists. During this time frame, prescribing of gabapentin increased by 5.9% (P &lt; .001) and 23.1% (P &lt; .001) among oncologists and nononcologists, respectively. Among palliative care providers, opioid prescribe increased by 15.3% (P &lt; .001). During the 5-year period, 43 states experienced a decrease (P &lt; .05) in opioid prescribing among oncologists, and in 5 states, opioid prescribing decreased more among oncologists than nononcologists (P &lt; .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.


Author(s):  
Jennifer Ish ◽  
Elaine Symanski ◽  
Kristina Whitworth

Background: This study explores sociodemographic disparities in residential proximity to unconventional gas development (UGD) among pregnant women. Methods: We conducted a secondary analysis using data from a retrospective birth cohort of 164,658 women with a live birth or fetal death from November 2010 to 2012 in the 24-county area comprising the Barnett Shale play, in North Texas. We considered both individual- and census tract-level indicators of sociodemographic status and computed Indexes of Concentration at the Extremes (ICE) to quantify relative neighborhood-level privilege/disadvantage. We used negative binomial regression to investigate the relation between these variables and the count of active UGD wells within 0.8 km of the home during gestation. We calculated count ratios (CR) and 95% confidence intervals (CI) to describe associations. Results: There were fewer wells located near homes of women of color living in low-income areas compared to non-Hispanic white women living in more privileged neighborhoods (ICE race/ethnicity + income: CR = 0.51, 95% CI = 0.48–0.55). Conclusions: While these results highlight a potential disparity in residential proximity to UGD in the Barnett Shale, they do not provide evidence of an environmental justice (EJ) issue nor negate findings of environmental injustice in other regions.


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