scholarly journals Discrepancies in Written Versus Calculated Durations in Opioid Prescriptions: Pre-Post Study (Preprint)

2019 ◽  
Author(s):  
Benjamin H Slovis ◽  
John Kairys ◽  
Bracken Babula ◽  
Melanie Girondo ◽  
Cara Martino ◽  
...  
Keyword(s):  
The United States ◽  
Opioid Use ◽  
Duration Of Treatment ◽  
Record System ◽  
Opioid Prescription ◽  
Increased Risk ◽  
The Us ◽  
Control And Prevention ◽  
Opioid Medications

BACKGROUND The United States is in the midst of an opioid epidemic. Long-term use of opioid medications is associated with an increased risk of dependence. The US Centers for Disease Control and Prevention makes specific recommendations regarding opioid prescribing, including that prescription quantities should not exceed the intended duration of treatment. OBJECTIVE The purpose of this study was to determine if opioid prescription quantities written at our institution exceed intended duration of treatment and whether enhancements to our electronic health record system improved any discrepancies. METHODS We examined the opioid prescriptions written at our institution for a 22-month period. We examined the duration of treatment documented in the prescription itself and calculated a duration based on the quantity of tablets and doses per day. We determined whether requiring documentation of the prescription duration affected these outcomes. RESULTS We reviewed 72,314 opioid prescriptions, of which 16.96% had a calculated duration that was greater than what was documented in the prescription. Making the duration a required field significantly reduced this discrepancy (17.95% vs 16.21%, <i>P</i>&lt;.001) but did not eliminate it. CONCLUSIONS Health information technology vendors should develop tools that, by default, accurately represent prescription durations and/or modify doses and quantities dispensed based on provider-entered durations. This would potentially reduce unintended prolonged opioid use and reduce the potential for long-term dependence.

scholarly journals Discrepancies in Written Versus Calculated Durations in Opioid Prescriptions: Pre-Post Study

10.2196/16199 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e16199
Author(s):  
Benjamin H Slovis ◽  
John Kairys ◽  
Bracken Babula ◽  
Melanie Girondo ◽  
Cara Martino ◽  
...  
Keyword(s):  
The United States ◽  
Opioid Use ◽  
Duration Of Treatment ◽  
Record System ◽  
Opioid Prescription ◽  
Increased Risk ◽  
The Us ◽  
Control And Prevention ◽  
Opioid Medications

Background The United States is in the midst of an opioid epidemic. Long-term use of opioid medications is associated with an increased risk of dependence. The US Centers for Disease Control and Prevention makes specific recommendations regarding opioid prescribing, including that prescription quantities should not exceed the intended duration of treatment. Objective The purpose of this study was to determine if opioid prescription quantities written at our institution exceed intended duration of treatment and whether enhancements to our electronic health record system improved any discrepancies. Methods We examined the opioid prescriptions written at our institution for a 22-month period. We examined the duration of treatment documented in the prescription itself and calculated a duration based on the quantity of tablets and doses per day. We determined whether requiring documentation of the prescription duration affected these outcomes. Results We reviewed 72,314 opioid prescriptions, of which 16.96% had a calculated duration that was greater than what was documented in the prescription. Making the duration a required field significantly reduced this discrepancy (17.95% vs 16.21%, P<.001) but did not eliminate it. Conclusions Health information technology vendors should develop tools that, by default, accurately represent prescription durations and/or modify doses and quantities dispensed based on provider-entered durations. This would potentially reduce unintended prolonged opioid use and reduce the potential for long-term dependence.

scholarly journals Long-Term Physical Health Outcomes of Resettled Refugee Populations in the United States: A Scoping Review

2021 ◽  
Author(s):  
Gayathri S. Kumar ◽  
Jenna A. Beeler ◽  
Emma E. Seagle ◽  
Emily S. Jentes
Keyword(s):  
Health Outcomes ◽  
Physical Health ◽  
Public Health Practice ◽  
The United States ◽  
Inclusion Criteria ◽  
Physical Health Outcomes ◽  
Increased Risk ◽  
The Us ◽  
Bhutanese Refugee

AbstractSeveral studies describe the health of recently resettled refugee populations in the US beyond the first 8 months after arrival. This review summarizes the results of these studies. Scientific articles from five databases published from January 2008 to March 2019 were reviewed. Articles were included if study subjects included any of the top five US resettlement populations during 2008–2018 and if data described long-term physical health outcomes beyond the first 8 months after arrival in the US. Thirty-three studies met the inclusion criteria (1.5%). Refugee adults had higher odds of having a chronic disease compared with non-refugee immigrant adults, and an increased risk for diabetes compared with US-born controls. The most commonly reported chronic diseases among Iraqi, Somali, and Bhutanese refugee adults included diabetes and hypertension. Clinicians should consider screening and evaluating for chronic conditions in the early resettlement period. Further evaluations can build a more comprehensive, long-term health profile of resettled refugees to inform public health practice.

scholarly journals Patterns of Long-Term Prescription Opioid Use Among Older Adults in the United States: A Study of Medicare Administrative Claims Data

2020 ◽  
Vol 1;24 (1;1) ◽  
pp. 31-40
Keyword(s):  
Older Adults ◽  
Claims Data ◽  
The United States ◽  
Prescription Opioid ◽  
Administrative Claims ◽  
Medicare Beneficiaries ◽  
Opioid Use ◽  
Opioid Prescription ◽  
Administrative Claims Data

BACKGROUND: Long-term opioid therapy was prescribed with increasing frequency over the past decade. However, factors surrounding long-term use of opioids in older adults remains poorly understood, probably because older people are not at the center stage of the national opioid crisis. OBJECTIVES: To estimate the annual utilization and trends in long-term opioid use among older adults in the United States. STUDY DESIGN: Retrospective cohort study. SETTING: Data from Medicare-enrolled older adults. METHODS: This study utilized a nationally representative sample of Medicare administrative claims data from the years 2012 to 2016 containing records of health care services for more than 2.3 million Medicare beneficiaries each year. Medicare beneficiaries who were 65 years of age or older and who were enrolled in Medicare Parts A, B, and D, but not Part C, for at least 10 months in a year were included in the study. We measured annual utilization and trends in new long-term opioid use episodes over 4 years (2013–2016). We examined claims records for the demographic characteristics of the eligible individuals and for the presence of chronic non-cancer pain (CNCP), cancer, and other comorbidities. RESULTS: From 2013 to 2016, administrative claims of approximately 2.3 million elderly Medicare beneficiaries were analyzed in each year with a majority of them being women (~56%) and white (~82%) with a mean age of approximately 75 years. The proportion of all eligible beneficiaries with at least one new opioid prescription increased from 6.64% in 2013, peaked at 10.32% in 2015, and then decreased to 8.14% in 2016. The proportion of individuals with long-term opioid use among those with a new opioid prescription was 12.40% in 2013 and 10.20% in 2016. Among new long-term opioid users, the proportion of beneficiaries with a cancer diagnosis during the study years increased from 13.30% in 2013 to 15.67% in 2016, and the proportion with CNCP decreased from 30.25% in 2013 to 27.36% in 2016. Across all years, long-term opioid use was consistently high in the Southern states followed by the Midwest region. LIMITATIONS: This study used Medicare fee-for-service administrative claims data to capture prescription fill patterns, which do not allow for the capture of individuals enrolled in Medicare Advantage plans, cash prescriptions, or for the evaluation of appropriateness of prescribing, or the actual use of medication. This study only examined long-term use episodes among patients who were defined as opioid-naive. Finally, estimates captured for 2016 could only utilize data from 9 months of the year to capture 90-day long-term-use episodes. CONCLUSIONS: Using a national sample of elderly Medicare beneficiaries, we observed that from 2013 to 2016 the use of new prescription opioids increased from 2013 to 2014 and peaked in 2015. The use of new long-term prescription opioids peaked in 2014 and started to decrease from 2015 and 2016. Future research needs to evaluate the impact of the changes in new and long-term prescription opioid use on population health outcomes. KEY WORDS: Long-term, opioids, older adults, trends, Medicare, chronic non-cancer pain, cancer, cohort study

scholarly journals Familial, Social, and Individual Factors Contributing to Risk for Adolescent Substance Use

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Mackenzie Whitesell ◽  
Annette Bachand ◽  
Jennifer Peel ◽  
Mark Brown
Keyword(s):  
Substance Use ◽  
The United States ◽  
Adolescent Substance Use ◽  
Physical And Mental Health ◽  
Long Term Effects ◽  
Adolescent Substance ◽  
Sexually Transmitted ◽  
Increased Risk ◽  
Control And Prevention

Data from the National Institute on Drug Abuse (NIDA) and the Centers for Disease Control and Prevention (CDC) reveal high numbers of adolescent substance use in the United States. Substance use among adolescents can lead to increased risk of transmission of sexually transmitted infections, vehicular fatalities, juvenile delinquency, and other problems associated with physical and mental health. Adolescents are particularly susceptible to involvement in substance use due to the underdeveloped state of the adolescent brain, which can lead to reduced decision-making ability and increased long-term effects of drugs and alcohol. Understanding the causes of adolescent substance use is vital for successful prevention and intervention programs.

scholarly journals Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study

10.2196/24360 ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. e24360
Author(s):  
Benjamin Heritier Slovis ◽  
Jeffrey M Riggio ◽  
Melanie Girondo ◽  
Cara Martino ◽  
Bracken Babula ◽  
...  
Keyword(s):  
The United States ◽  
Prescribing Patterns ◽  
Duration Of Treatment ◽  
Opioid Prescription ◽  
Hospital System ◽  
Opioid Prescribing ◽  
Before And After ◽  
Control And Prevention ◽  
Prescribing Practice ◽  
Quasi Experimental

Background The United States is in an opioid epidemic. Passive decision support in the electronic health record (EHR) through opioid prescription presets may aid in curbing opioid dependence. Objective The objective of this study is to determine whether modification of opioid prescribing presets in the EHR could change prescribing patterns for an entire hospital system. Methods We performed a quasi-experimental retrospective pre–post analysis of a 24-month period before and after modifications to our EHR’s opioid prescription presets to match Centers for Disease Control and Prevention guidelines. We included all opioid prescriptions prescribed at our institution for nonchronic pain. Our modifications to the EHR include (1) making duration of treatment for an opioid prescription mandatory, (2) adding a quick button for 3 days’ duration while removing others, and (3) setting the default quantity of all oral opioid formulations to 10 tablets. We examined the quantity in tablets, duration in days, and proportion of prescriptions greater than 90 morphine milligram equivalents/day for our hospital system, and compared these values before and after our intervention for effect. Results There were 78,246 prescriptions included in our study written on 30,975 unique patients. There was a significant reduction for all opioid prescriptions pre versus post in (1) the overall median quantity of tablets dispensed (54 [IQR 40-120] vs 42 [IQR 18-90]; P<.001), (2) median duration of treatment (10.5 days [IQR 5.0-30] vs 7.5 days [IQR 3.0-30]; P<.001), and (3) proportion of prescriptions greater than 90 morphine milligram equivalents/day (27.46% [10,704/38,976; 95% CI 27.02%-27.91%] vs 22.86% [8979/39,270; 95% CI 22.45%-23.28%]; P<.001). Conclusions Modifications of opioid prescribing presets in the EHR can improve prescribing practice patterns. Reducing duration and quantity of opioid prescriptions could reduce the risk of dependence and overdose.

scholarly journals High-dose opioid utilization and mortality among individuals initiating hemodialysis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Matthew Daubresse ◽  
G. Caleb Alexander ◽  
Deidra C. Crews ◽  
Dorry L. Segev ◽  
Krista L. Lentine ◽  
...  
Keyword(s):  
United States ◽  
Cumulative Incidence ◽  
The United States ◽  
High Dose ◽  
Opioid Use ◽  
Opioid Prescription ◽  
Average Percentage ◽  
Risk Of Death ◽  
Risk Of Mortality ◽  
Increased Risk

Abstract Background Individuals undergoing hemodialysis in the United States frequently report pain and receive three-fold more opioid prescriptions than the general population. While opioid use is appropriate for select patients, high-dose utilization may contribute to an increased risk of death due to possible accumulation of opioid metabolites. Methods We studied high-dose opioid utilization (≥120 morphine milligram equivalents [MME] per day) among adults initiating hemodialysis in the United States between 2007 and 2014 using national registry data. We calculated the cumulative incidence (%) of high-dose utilization and depicted trends in the average percentage of days individuals were exposed to opioids. We used adjusted Cox proportional hazards models to identify which opioid doses were associated with mortality. Results Among 327,344 adults undergoing hemodialysis, the cumulative incidence of high-dose utilization was 14.9% at 2 years after initiating hemodialysis. Among patients with ≥1 opioid prescription during follow-up, the average percentage of days exposed to high-dose utilization increased from 13.9% in 2007 to 26.1% in 2014. Compared to 0MME per day, doses < 60MME were not associated with an increased risk of mortality, but high-dose utilization was associated with a 1.63-fold (95% CI, 1.57, 1.69) increased risk of mortality. The risk of mortality associated with opioid dose was highest in the first year after hemodialysis initiation. Conclusions The risk of mortality associated with opioid utilization among individuals on hemodialysis increases as doses exceed 60MME per day and is greatest during periods of high-dose utilization. Patients and clinicians should carefully weigh the risks and benefits of opioid doses exceeding 60MME per day.

scholarly journals Reduction in Hospital System Opioid Prescribing for Acute Pain Through Default Prescription Preference Settings: Pre–Post Study (Preprint)

2020 ◽  
Author(s):  
Benjamin Heritier Slovis ◽  
Jeffrey M Riggio ◽  
Melanie Girondo ◽  
Cara Martino ◽  
Bracken Babula ◽  
...  
Keyword(s):  
The United States ◽  
Prescribing Patterns ◽  
Duration Of Treatment ◽  
Opioid Prescription ◽  
Hospital System ◽  
Opioid Prescribing ◽  
Before And After ◽  
Control And Prevention ◽  
Prescribing Practice ◽  
Quasi Experimental

BACKGROUND The United States is in an opioid epidemic. Passive decision support in the electronic health record (EHR) through opioid prescription presets may aid in curbing opioid dependence. OBJECTIVE The objective of this study is to determine whether modification of opioid prescribing presets in the EHR could change prescribing patterns for an entire hospital system. METHODS We performed a quasi-experimental retrospective pre–post analysis of a 24-month period before and after modifications to our EHR’s opioid prescription presets to match Centers for Disease Control and Prevention guidelines. We included all opioid prescriptions prescribed at our institution for nonchronic pain. Our modifications to the EHR include (1) making duration of treatment for an opioid prescription mandatory, (2) adding a quick button for 3 days’ duration while removing others, and (3) setting the default quantity of all oral opioid formulations to 10 tablets. We examined the quantity in tablets, duration in days, and proportion of prescriptions greater than 90 morphine milligram equivalents/day for our hospital system, and compared these values before and after our intervention for effect. RESULTS There were 78,246 prescriptions included in our study written on 30,975 unique patients. There was a significant reduction for all opioid prescriptions pre versus post in (1) the overall median quantity of tablets dispensed (54 [IQR 40-120] vs 42 [IQR 18-90]; <i>P</i>&lt;.001), (2) median duration of treatment (10.5 days [IQR 5.0-30] vs 7.5 days [IQR 3.0-30]; <i>P</i>&lt;.001), and (3) proportion of prescriptions greater than 90 morphine milligram equivalents/day (27.46% [10,704/38,976; 95% CI 27.02%-27.91%] vs 22.86% [8979/39,270; 95% CI 22.45%-23.28%]; <i>P</i>&lt;.001). CONCLUSIONS Modifications of opioid prescribing presets in the EHR can improve prescribing practice patterns. Reducing duration and quantity of opioid prescriptions could reduce the risk of dependence and overdose.

A Biofeedback Enhanced Adaptive Virtual Reality Environment for Managing Surgical Pain and Anxiety

2020 ◽  
Vol 14 (03) ◽  
pp. 375-393
Author(s):  
Vishnunarayan Girishan Prabhu ◽  
Laura Stanley ◽  
Robert Morgan
Keyword(s):  
Virtual Reality ◽  
Pain Management ◽  
Postoperative Pain ◽  
Low Frequency ◽  
Preoperative Anxiety ◽  
Opioid Use ◽  
Opioid Prescription ◽  
Attention Restoration ◽  
Increased Risk

Pain and anxiety are common accompaniments of surgery, and opioids have been the mainstay of pain management for decades, with about 80% of the surgical population leaving the hospital with an opioid prescription. Moreover, patients receiving an opioid prescription after short-stay surgeries have a 44% increased risk of long-term opioid use, and about one in 16 surgical patients becomes a long-term user. Current opioid abuse and addiction now place the US in an “opioid epidemic,” and calls for alternative pain management mechanisms. To mitigate the preoperative anxiety and postoperative pain, we developed a virtual reality (VR) experience based on Attention Restoration Theory (ART) and integrated the user’s heart rate variability (HRV) biofeedback to create an adaptive environment. A randomized control trial among 16 Total Knee Arthroplasty (TKA) patients undergoing surgery at Patewood Memorial Hospital, Greenville, SC demonstrated that patients experiencing the adaptive VR environment reported a significant decrease in preoperative anxiety ([Formula: see text]) and postoperative pain ([Formula: see text]) after the VR intervention. These results were also supported by the physiological measures where there was a significant increase in RR Interval (RRI) ([Formula: see text]) and a significant decrease in the low frequency (LF)/high frequency (HF) ratio ([Formula: see text]) and respiration rate (RR) ([Formula: see text]).

scholarly journals Increased risk of new persistent opioid use in pediatric and young adult patients with kidney stones

2020 ◽  
Vol 14 (8) ◽  
Author(s):  
Gregory Hosier ◽  
Thomas McGregor ◽  
Darren Beiko ◽  
Gregory E. Tasian ◽  
Christopher Booth ◽  
...  
Keyword(s):  
Young Adult ◽  
Kidney Stones ◽  
Renal Colic ◽  
Adult Patients ◽  
Opioid Overdose ◽  
Family Practitioner ◽  
Opioid Use ◽  
Opioid Prescription ◽  
Increased Risk

Introduction: Adolescents and young adults are a vulnerable patient population for development of substance use disorder. However, the long-term impact of opioid prescribing in young adult patients with renal colic is not known. Our objective was to describe rates of opioid prescription and identify risk factors for persistent opioid use in patients age 25 years or younger with renal colic from kidney stones. Methods: Using previously validated linked administrative databases, we performed a population-based retrospective cohort study of opioid-naïve patients age 25 years or younger with renal colic between July 1, 2013 and September 30, 2017 in Ontario. All family practitioner, urgent care, and specialist visits in the province were captured. Our primary outcome was persistent opioid use defined as filling a prescription for an opioid between 91 and 180 days after initial visit. Ontario utilizes a narcotic monitoring system, which captures all opioids dispensed in the province. Results: Of the 6962 patients identified, 56% were prescribed an opioid at presentation and 34% of those were dispensed more than 200 oral morphine equivalents. There was persistent opioid use in 313 (8.1%) patients who filled an initial opioid prescription. In adjusted analysis, those prescribed an opioid initially had a significantly higher risk of persistent opioid use (odds ratio [OR] 1.85, 95% confidence interval [CI] 1.50–2.29) and opioid overdose (OR 3.45, 1.08- 11.04). There was a dose-dependent increase in risk of persistent opioid use with escalating initial opioid dose. History of mental illness (OR 1.32, 1.02- 1.71), and need for surgery (OR 1.71, 1.24- 2.34) were also associated with persistent opioid use. Conclusions: Among patients with kidney stones age 25 years or younger, filling an opioid prescription after presentation is associated with an increased risk of persistent opioid use 3-6 months later and a higher risk of serious long-term complications such as opioid overdose.

From Start-Up to Scale-Up

2018 ◽  
Author(s):  
Gilles Duruflé ◽  
Thomas Hellmann ◽  
Karen Wilson
Keyword(s):  
United States ◽  
Conceptual Framework ◽  
Public Policies ◽  
Scale Up ◽  
The United States ◽  
Smart Money ◽  
Start Up ◽  
The Us ◽  
The Creation

This chapter examines the challenge for entrepreneurial companies of going beyond the start-up phase and growing into large successful companies. We examine the long-term financing of these so-called scale-up companies, focusing on the United States, Europe, and Canada. The chapter first provides a conceptual framework for understanding the challenges of financing scale-ups. It emphasizes the need for investors with deep pockets, for smart money, for investor networks, and for patient money. It then shows some data about the various aspects of financing scale-ups in the United States, Europe, and Canada, showing how Europe and Canada are lagging behind the US relatively more at the scale-up than the start-up stage. Finally, the chapter raises the question of long-term public policies for supporting the creation of a better scale-up environment.

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