A Nationwide Emergency Department Data Analysis to Predict Beers List Medications Use Among Older Adults

BACKGROUND

The use of potentially inappropriate medications (PIMs) is considered an important quality indicator for older adults seen in the ambulatory care setting.

STUDY OBJECTIVES

To evaluate the pattern of potentially inappropriate medication (PIMs) use as specified in the Beers Criteria, for older adults during emergency department (ED) visits in the United States.

METHODS

Using data from the National Hospital Ambulatory Care Survey (NHAMCS) we identified older adults (age 65 or older) discharged home from an ED visit in 2019. We defined PIMs as those with an 'avoid' recommendation under the American Geriatrics Society (AGS) 2019 Beers Criteria in older adults. Logistic regression models were used to assess demographic, clinical, and hospital factors associated with the use of any PIMs upon ED discharge.

RESULTS

Overall, 5.9% of visits by older adults discharged from the ED included administration or prescriptions for PIMs. Among those who received any PIMs, 25.5% received benzodiazepines, 42.5 % received anticholinergics, 1.4% received nonbenzodiazepine hypnotics, and 0.5% received barbiturates. A multivariable model showed statistically significant associations for age 65 to 74 (OR 1.91, 95% CI 1.39-2.62 vs. age >=75), dementia (OR 0.45, 95% CI 0.21-0.95), lower immediacy (OR 2.45, 95% CI 1.56-3.84 vs. higher immediacy), and Northeastern rural region (OR 0.34, 95% CI 0.21-0.55 vs. Midwestern rural).

CONCLUSION

We found that younger age and lower immediacy were associated with increased prescriptions of PIMs for older adults seen, while dementia and Northeastern rural region was associated with reduced use of PIMs seen and discharged from EDs in United States.

Integrating 4 methods to evaluate physical function in patients with cancer (In4M): protocol for a prospective cohort study

INTRODUCTION

Accurate, patient-centred evaluation of physical function in patients with cancer can provide important information on the functional impacts experienced by patients both from the disease and its treatment. Increasingly, digital health technology is facilitating and providing new ways to measure symptoms and function. There is a need to characterise the longitudinal measurement characteristics of physical function assessments, including clinician-reported outcome, patient-reported ported outcome (PRO), performance outcome tests and wearable data, to inform regulatory and clinical decision-making in cancer clinical trials and oncology practice.

METHODS AND ANALYSIS

In this prospective study, we are enrolling 200 English-speaking and/or Spanish-speaking patients with breast cancer or lymphoma seen at Mayo Clinic or Yale University who will receive intravenous cytotoxic chemotherapy. Physical function assessments will be obtained longitudinally using multiple assessment modalities. Participants will be followed for 9 months using a patient-centred health data aggregating platform that consolidates study questionnaires, electronic health record data, and activity and sleep data from a wearable sensor. Data analysis will focus on understanding variability, sensitivity and meaningful changes across the included physical function assessments and evaluating their relationship to key clinical outcomes. Additionally, the feasibility of multimodal physical function data collection in real-world patients with breast cancer or lymphoma will be assessed, as will patient impressions of the usability and acceptability of the wearable sensor, data aggregation platform and PROs.

ETHICS AND DISSEMINATION

This study has received approval from IRBs at Mayo Clinic, Yale University and the US Food and Drug Administration. Results will be made available to participants, funders, the research community and the public.

TRIAL REGISTRATION NUMBER

NCT05214144; Pre-results.

Assessing the use of observational methods and real-world data to emulate ongoing randomized controlled trials

BACKGROUND/AIMS

There has been growing interest in better understanding the potential of observational research methods in medical product evaluation and regulatory decision-making. Previously, we used linked claims and electronic health record data to emulate two ongoing randomized controlled trials, characterizing the populations and results of each randomized controlled trial prior to publication of its results. Here, our objective was to compare the populations and results from the emulated trials with those of the now-published randomized controlled trials.

METHODS

This study compared participants' demographic and clinical characteristics and study results between the emulated trials, which used structured data from OptumLabs Data Warehouse, and the published PRONOUNCE and GRADE trials. First, we examined the feasibility of implementing the baseline participant characteristics included in the published PRONOUNCE and GRADE trials' using real-world data and classified each variable as ascertainable, partially ascertainable, or not ascertainable. Second, we compared the emulated trials and published randomized controlled trials for baseline patient characteristics (concordance determined using standardized mean differences <0.20) and results of the primary and secondary endpoints (concordance determined by direction of effect estimates and statistical significance).

RESULTS

The PRONOUNCE trial enrolled 544 participants, and the emulated trial included 2226 propensity score-matched participants. In the PRONOUNCE trial publication, one of the 32 baseline participant characteristics was listed as an exclusion criterion on ClinicalTrials.gov but was ultimately not used. Among the remaining 31 characteristics, 9 (29.0%) were ascertainable, 11 (35.5%) were partially ascertainable, and 10 (32.2%) were not ascertainable using structured data from OptumLabs. For one additional variable, the PRONOUNCE trial did not provide sufficient detail to allow its ascertainment. Of the nine variables that were ascertainable, values in the emulated trial and published randomized controlled trial were discordant for 6 (66.7%). The primary endpoint of time from randomization to the first major adverse cardiovascular event and secondary endpoints of nonfatal myocardial infarction and stroke were concordant between the emulated trial and published randomized controlled trial. The GRADE trial enrolled 5047 participants, and the emulated trial included 7540 participants. In the GRADE trial publication, 8 of 34 (23.5%) baseline participant characteristics were ascertainable, 14 (41.2%) were partially ascertainable, and 11 (32.4%) were not ascertainable using structured data from OptumLabs. For one variable, the GRADE trial did not provide sufficient detail to allow for ascertainment. Of the eight variables that were ascertainable, values in the emulated trial and published randomized controlled trial were discordant for 4 (50.0%). The primary endpoint of time to hemoglobin A1c ≥7.0% was mostly concordant between the emulated trial and the published randomized controlled trial.

CONCLUSION

Despite challenges, observational methods and real-world data can be leveraged in certain important situations for a more timely evaluation of drug effectiveness and safety in more diverse and representative patient populations.

National trends in emergency conditions through the Omicron COVID-19 wave in commercial and Medicare Advantage enrollees

Objective

To evaluate trends in emergency care sensitive conditions (ECSCs) from pre-COVID (March 2018-February 2020) through Omicron (December 2021-February 2022).

Methods

This cross-sectional analysis evaluated trends in ECSCs using claims (OptumLabs Data Warehouse) from commercial and Medicare Advantage enrollees. Emergency department (ED) visits for ECSCs (acute appendicitis, aortic aneurysm/dissection, cardiac arrest/severe arrhythmia, cerebral infarction, myocardial infarction, pulmonary embolism, opioid overdose, pre-eclampsia) were reported per 100,000 person months from March 2018 to February 2022 by pandemic wave. We calculated the percent change for each pandemic wave compared to the pre-pandemic period.

Results

There were 10,268,554 ED visits (March 2018-February 2022). The greatest increases in ECSCs were seen for pulmonary embolism, cardiac arrest/severe arrhythmia, myocardial infarction, and pre-eclampsia. For commercial enrollees, pulmonary embolism visit rates increased 22.7% (95% confidence interval [CI], 18.6%-26.9%) during Waves 2-3, 37.2% (95% CI, 29.1%-45.8%] during Delta, and 27.9% (95% CI, 20.3%-36.1%) during Omicron, relative to pre-pandemic rates. Cardiac arrest/severe arrhythmia visit rates increased 4.0% (95% CI, 0.2%-8.0%) during Waves 2-3; myocardial infarction rates increased 4.9% (95% CI, 2.1%-7.8%) during Waves 2-3. Similar patterns were seen in Medicare Advantage enrollees. Pre-eclampsia visit rates among reproductive-age female enrollees increased 31.1% (95% CI, 20.9%-42.2%), 23.7% (95% CI, 7.5%,-42.3%), and 34.7% (95% CI, 16.8%-55.2%) during Waves 2-3, Delta, and Omicron, respectively. ED visits for other ECSCs declined or exhibited smaller increases.

Conclusions

ED visit rates for acute cardiovascular conditions, pulmonary embolism and pre-eclampsia increased despite declines or stable rates for all-cause ED visits and ED visits for other conditions. Given the changing landscape of ECSCs, studies should identify drivers for these changes and interventions to mitigate them.

Association Between New 340B Program Participation and Commercial Insurance Spending on Outpatient Biologic Oncology Drugs

Importance

Previous studies have found that hospitals participating in the 340B Drug Pricing Program have higher Medicare Part B spending and expansion into affluent neighborhoods. Less is known about the association of 340B participation with spending by commercial insurance, where reimbursements are higher than Medicare.

Objective

To use the Affordable Care Act expansion of eligibility for the 340B Drug Pricing Program to study the association between participation and spending on outpatient-administered oncological drugs for commercially insured patients.

Design, Setting, and Participants

This cohort study included a balanced panel hospital cohort containing new and never 340B program participants between 2007 and 2019; more recent data were not included to avoid the effect of disruptions in care due to the COVID-19 pandemic. Descriptive analyses documented spending trends for patients receiving common outpatient-administered biologics used in cancer treatments (bevacizumab, filgrastim, pegfilgrastim, rituximab, and trastuzumab) at 340B (treated) and non-340B (control) hospitals. A difference-in-differences model assessed changes in episode drug spending. Analyses were conducted between December 2021 and June 2022.

Exposure

New 340B program participation between 2010 and 2016.

Main Outcome and Measures

Total drug episode spending, with control variables including total billed units, drug, calendar-year fixed effects, and hospital fixed effects.

Results

Of 95 127 included episodes (56 917 [59.8%] episodes in female patients) across 478 hospitals, patients seen in 340B and non-340B hospitals were similar in sex and drug used, and 340B hospital patients were older than non-340B patients (median [IQR] age for all patients, 61 [51-71] years). New 340B participating hospitals were more likely to be small (<50 beds) and more likely to be in rural settings. In the difference-in-differences analysis, total episode drug spending increased by $4074.69 (95% CI, $1592.84-$6556.70; P = .001) in the year following start of 340B program participation relative to nonparticipants. Heterogeneous group time effects were seen, with earlier participants less likely to have increased episode spending.

Conclusions and Relevance

In this cohort study, new 340B participation was associated with statistically significant higher oncological drug episode spending compared with nonparticipants after changes in 340B inclusion rules in 2010. These findings raise questions about unintended consequences of the 340B program on drug spending from the commercially insured population.

Provider barriers in uptake of biosimilars: case study on filgrastim

In this article, we used administrative claims data from the OptumLabs Data Warehouse and American Hospital Association Annual Survey data to examine associations between hospital characteristics and uptake of biosimilar granulocyte colony-stimulating factor treatments. We found that 340B-participating hospitals and non-rural referral center (RRC) hospitals that reported owning rural health clinics were less likely to administer the lower-cost biosimilars, whereas the opposite was true for hospitals that are RRCs. To our knowledge, our study offers a first look at an underappreciated source of disparities in access to lower-cost medications such as biosimilars. Results from our study reveal opportunities for targeted policies to encourage adoption of lower-cost treatments, particularly among hospitals that serve rural communities where patients often have fewer choices in care site.

Integrating 4 Measures to Evaluate Physical Function in Patients with Cancer (In4M): Protocol for a prospective study

Introduction

Accurate, patient-centered evaluation of physical function in patients with cancer can provide important information on the functional impacts experienced by patients both from the disease and its treatment. Increasingly, digital health technology is facilitating and providing new ways to measure symptoms and function. There is a need to characterize the longitudinal measurement characteristics of physical function assessments, including clinician-reported physical function (ClinRo), patient-reported physical function (PRO), performance outcome tests (PerfO) and wearable data, to inform regulatory and clinical decision-making in cancer clinical trials and oncology practice.

Methods and analysis

In this prospective study, we are enrolling 200 English- and/or Spanish-speaking patients with breast cancer or lymphoma seen at Mayo Clinic or Yale University who will receive standard of care intravenous cytotoxic chemotherapy. Physical function assessments will be obtained longitudinally using multiple assessment modalities. Participants will be followed for 9 months using a patient-centered health data aggregating platform that consolidates study questionnaires, electronic health record data, and activity and sleep data from a wearable sensor. Data analysis will focus on understanding variability, sensitivity, and meaningful changes across the included physical function assessments and evaluating their relationship to key clinical outcomes. Additionally, the feasibility of multi-modal physical function data collection in real-world patients with cancer will be assessed, as will patient impressions of the usability and acceptability of the wearable sensor, data aggregation platform, and PROs.

Ethics and dissemination

This study has received approval from IRBs at Mayo Clinic, Yale University, and the U.S. Food & Drug Administration. Results will be made available to participants, funders, the research community, and the public.

Registration Details

The trial registration number for this study is NCT05214144.

Strengths & Limitations

This study addresses an important unmet need by characterizing the performance characteristics of multiple patient-centered physical function measures in patients with cancerPhysical function is an important and undermeasured clinical outcome. Scientifically rigorous capture and measurement of physical function constitutes a key component of cancer treatment tolerability assessment both from a regulatory and clinical perspective.This study will include patients with lymphoma or breast cancer receiving a broad range of cytotoxic chemotherapy regimens. While recruitment will occur at two academic sites, patients who ultimately receive treatment at local community sites will be included.A patient-centered health data aggregating platform facilitates the delivery of patient-reported outcome measures and collection of wearable data to researchers, while reducing patient burden compared to traditional patient-generated data collection and aggregation methodsHeterogeneity in patient willingness or comfort engaging with mobile products including smartphones and wearables, enrollment primarily at large academic centers, and the modest sample size are potential limitations to the external validity of the study.

Changes in opioid marketing practices after release of the CDC guidelines

OBJECTIVES

After the release of the CDC guidelines in March 2016, the rate of opioid prescriptions decreased. How or whether pharmaceutical companies changed their opioid marketing practices post release of the CDC guidelines is unknown. Our objectives were to (1) evaluate whether the release of the guidelines was associated with changes in total monthly marketing spending received per physician, monthly marketing encounter frequency per physician, and spending per encounter during opioid marketing; and (2) evaluate whether such changes in marketing differed between specialist physicians and primary care physicians (PCPs) and between urban and rural primary care service areas (PCSAs).

STUDY DESIGN

Retrospective observational cross-sectional study using opioid marketing spending data from the CMS Open Payments database between August 2013 and December 2017.

METHODS

Single-group and multiple-group interrupted time series analyses were used to evaluate differences in the immediate changes in level and trend over time in opioid marketing practices post release of the CDC guidelines.

RESULTS

Post release of the CDC guidelines, the monthly number of marketing encounters per physician and total monthly amount received per physician decreased. However, the amount spent at each marketing encounter increased. The release of the CDC guidelines was associated with an immediate increase in level of opioid marketing spending per encounter by $0.59 (95% CI, $0.51-$0.68; P < .001) and an over-time increase in rate of spending per encounter of $0.04 per month (95% CI, $0.03-$0.05; P < .001). These changes differed between specialists and PCPs and between urban and rural PCSAs.

CONCLUSIONS

It is important to continue ongoing education for physicians on changes in pharmaceutical opioid marketing practices.

PreScription DigitaL ThErapEutic for Patients with Insomnia (SLEEP-I a protocol for a pragmatic randomised controlled trial

INTRODUCTION

Cognitive behavioural therapy for insomnia (CBT-I) is effective at treating chronic insomnia, yet in-person CBT-I can often be challenging to access. Prior studies have used technology to bridge barriers but have been unable to extensively assess the impact of the digital therapeutic on real-world patient experience and multidimensional outcomes. Among patients with insomnia, our aim is to determine the impact of a prescription digital therapeutic (PDT) (PEAR-003b, FDA-authorised as Somryst; herein called PDT) that provides mobile-delivered CBT-I on patient-reported outcomes (PROs) and healthcare utilisation.

METHODS AND ANALYSIS

We are conducting a pragmatically designed, prospective, multicentre randomised controlled trial that leverages Hugo, a unique patient-centred health data-aggregating platform for data collection and patient follow-up from Hugo Health. A total of 100 participants with insomnia from two health centres will be enrolled onto the Hugo Health platform, provided with a linked Fitbit (Inspire 2) to track activity and then randomised 1:1 to receive (or not) the PDT for mobile-delivered CBT-I (Somryst). The primary outcome is a change in the insomnia severity index score from baseline to 9-week postrandomisation. Secondary outcomes include healthcare utilisation, health utility scores and clinical outcomes; change in sleep outcomes as measured with sleep diaries and a change in individual PROs including depressive symptoms, daytime sleepiness, health status, stress and anxiety. For those allocated to the PDT, we will also assess engagement with the PDT.

ETHICS AND DISSEMINATION

The Institutional Review Boards at Yale University and the Mayo Clinic have approved the trial protocol. This trial will provide important data to patients, clinicians and policymakers about the impact of the PDT device delivering CBT-I on PROs, clinical outcomes and healthcare utilisation. Findings will be disseminated to participants, presented at professional meetings and published in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT04909229.

Association of outpatient use of renin-angiotensin-aldosterone system blockers on outcomes of acute respiratory illness during the COVID-19 pandemic: a cohort study

OBJECTIVES

Evaluate the associations between patients taking ACE inhibitors and angiotensin receptor blockers (ARBs) and their clinical outcomes after an acute viral respiratory illness (AVRI) due to COVID-19.

DESIGN

Retrospective cohort.

SETTING

The USA; 2017-2018 influenza season, 2018-2019 influenza season, and 2019-2020 influenza/COVID-19 season.

PARTICIPANTS

People with hypertension (HTN) taking an ACEi, ARB or other HTN medications, and experiencing AVRI.

MAIN OUTCOME MEASURES

Change in hospital admission, intensive care unit (ICU) or coronary care unit (CCU), acute respiratory distress (ARD), ARD syndrome (ARDS) and all-cause mortality, comparing COVID-19 to pre-COVID-19 influenza seasons.

RESULTS

The cohort included 1 059 474 episodes of AVRI (653 797 filled an ACEi or ARB, and 405 677 other HTN medications). 58.6% were women and 72.9% with age ≥65. The ACEi/ARB cohort saw a larger increase in risk in the COVID-19 influenza season than the other HTN medication cohort for four out of five outcomes, with an additional 1.5 percentage point (pp) increase in risk of an inpatient stay (95% CI 1.2 to 1.9 pp) and of ICU/CCU use (95% CI 0.3 to 2.7 pp) as well as a 0.7 pp (0.1 to 1.2 pp) additional increase in risk of ARD and 0.9 pp (0.4 to 1.3 pp) additional increase in risk of ARDS. There was no statistically significant difference in the absolute risk of death (-0.2 pp, 95% CI -0.4 to 0.1 pp). However, the relative risk of death in 2019/2020 versus 2017/2018 for the ACEi/ARB group was larger (1.40 (1.36 to 1.44)) than for the other HTN medication cohort (1.24 (1.21 to 1.28)).

CONCLUSIONS

People with AVRI using ACEi/ARBs for HTN had a greater increase in poor outcomes during the COVID-19 pandemic than those using other medications to treat HTN. The small absolute magnitude of the differences likely does not support changes in clinical practice.

Acute pain pathways: protocol for a prospective cohort study

INTRODUCTION

Opioid analgesics are often used to treat moderate-to-severe acute non-cancer pain; however, there is little high-quality evidence to guide clinician prescribing. An essential element to developing evidence-based guidelines is a better understanding of pain management and pain control among individuals experiencing acute pain for various common diagnoses.

METHODS AND ANALYSIS

This multicentre prospective observational study will recruit 1550 opioid-naïve participants with acute pain seen in diverse clinical settings including primary/urgent care, emergency departments and dental clinics. Participants will be followed for 6 months with the aid of a patient-centred health data aggregating platform that consolidates data from study questionnaires, electronic health record data on healthcare services received, prescription fill data from pharmacies, and activity and sleep data from a Fitbit activity tracker. Participants will be enrolled to represent diverse races and ethnicities and pain conditions, as well as geographical diversity. Data analysis will focus on assessing patients' patterns of pain and opioid analgesic use, along with other pain treatments; associations between patient and condition characteristics and patient-centred outcomes including resolution of pain, satisfaction with care and long-term use of opioid analgesics; and descriptive analyses of patient management of leftover opioids.

ETHICS AND DISSEMINATION

This study has received approval from IRBs at each site. Results will be made available to participants, funders, the research community and the public.

TRIAL REGISTRATION NUMBER

NCT04509115.

Trends and Disparities in Access to Buprenorphine Treatment Following an Opioid-Related Emergency Department Visit Among an Insured Cohort, 2014-2020

This cross-sectional study examines trends in access to buprenorphine treatment following an opioid-related emergency department (ED) visit among adults with commercial or Medicare Advantage health insurance between 2014 and 2020.

Gender Differences in Time Spent on Documentation and the Electronic Health Record in a Large Ambulatory Network

This cross-sectional study assesses gender differences in time spent on documentation and electronic health records in a large ambulatory care network.

Association of opioid fills with centers for disease control and prevention opioid guidelines and payer coverage policies: physician, insurance and geographic factors

Background The Centers for Disease Control and Prevention (CDC) issued guidelines and certain healthcare payers have made pharmacy coverage changes (PCC) focusing on regulating prescription opioids. Aim We evaluated differences in the rate of first-time opioid fills at doses ≥ 50 morphine milligram equivalents (MME)/day and first-time opioid fills with benzodiazepine fill overlap following the CDC guidelines and following a PCC between provider types, geographic locations, and insurance types. Method We used OptumLabs® Data Warehouse claims data between 2014 and 2018. Subjects were opioid naïve non-cancer care patients, 18 years and older who had an identified chronic pain condition ICD diagnosis within 2 weeks prior to their first-time opioid fill. We used multiple treatment period segmented regression analysis with interaction terms to test the differences between primary care providers (PCPs) and specialist providers (SPs), urban and rural primary care service areas (PCSAs), and Medicare Advantage (MA) and commercially insured patients (CIPs) in their first-time opioid fill patterns. Results Prescribing first-time opioid fills at doses ≥ 50MME/day declined following the CDC guidelines and PCC, the decline was greater among SPs than PCPs and in rural PCSAs than urban PCSAs. Also, following the CDC guidelines, the decline was greater among MA patients however following the PCC the decline was greater among CIPs. There were no differences in rate of first-time opioid fill with benzodiazepine overlap between groups. Conclusion Responses to the CDC opioid guidelines and a PCC differed between PCPs and SPs, urban and rural PCSAs, and when prescribing to MA and CIPs. Understanding these differences is important to help inform future guidelines.

Trends in Testosterone Prescriptions for Older Men Enrolled in Commercial Insurance and Medicare Advantage

This cohort study of health claims data examines trends in testosterone prescriptions for older men in the US following 2014 changes to the US Food and Drug Administration’s stance on testosterone’s effects and safety risks.

Epidemiology of paediatric pain-related visits to emergency departments in the USA: a cross-sectional study

OBJECTIVE

To describe the epidemiology of paediatric pain-related visits to emergency departments (EDs) across the USA.

DESIGN

Cross-sectional study.

SETTING

A representative sample of US ED visits using data from the National Hospital Ambulatory Medical Care Survey (NHAMCS).

PARTICIPANTS

Paediatric (age ≤18 years) ED visits in the 2017 NHAMCS data set.

DATA ANALYSIS

Each visit was coded as pain-related or non-pain-related using the 'reason for visit' variable. Weighted proportions were calculated with 95% CIs. Logistic regression was used to compare odds of pain-related visits.

OUTCOME MEASURES

Prevalence of pain-related visits among paediatric ED visits.

RESULTS

There were an estimated 35 million paediatric ED visits in the USA in 2017, 55.6% (CI 53.3% to 57.8%) were pain related, which equates to 19.7 million annual visits. The prevalence of pain-related visits reached more than 50% of visits at age 6-7 and plateaued at relatively high proportions. Children of races other than white or black had lower odds of having a pain-related visit (OR 0.48, CI 0.29 to 0.81) than white children, as did children who were black, though the difference was not statistically significant (OR 0.88, CI 0.73 to 1.06). Relative to children covered by private insurance, children with Medicaid or CHIP (Children's Health Insurance Program) coverage had lower odds of a pain-related visit (OR 0.75, CI 0.60 to 0.93). Injuries represented 46.5% (CI 42.0% to 51.0%) of pain-related visits. Pain scores were reported in less than 50% of pain-related visits.

CONCLUSION

Pain is the reason for visit in 55.6% of paediatric ED visits across the USA. The prevalence of pain-related visits peak before adolescence and it continues relatively high until the age 18. Injury, racial disparities in pain and poor pain score reporting should remain major topics of study in the paediatric population.

Incidence and risk factors for prolonged postoperative opioid use following lumbar spine surgery: a cohort study

OBJECTIVE

Sustained postoperative opioid use after elective surgery is a matter of growing concern. Herein, the authors investigated incidence and predictors of long-term opioid use among patients undergoing elective lumbar spine surgery, especially as a function of opioid prescribing practices at postoperative discharge (dose in morphine milligram equivalents [MMEs] and type of opioid).

METHODS

The OptumLabs Data Warehouse (OLDW) was queried for postdischarge opioid prescriptions for patients undergoing elective lumbar decompression and discectomy (LDD) or posterior lumbar fusion (PLF) for degenerative spine disease. Only patients who received an opioid prescription at postoperative discharge and those who had a minimum of 180 days of insurance coverage prior to surgery and 180 days after surgery were included. Opioid-naive patients were defined as those who had no opioid fills in 180 days prior to surgery. The following patterns of long-term postoperative use were investigated: additional fills (at least one opioid fill 90-180 days after surgery), persistent fills (any span of opioid use starting in the 180 days after surgery and lasting at least 90 days), and Consortium to Study Opioid Risks and Trends (CONSORT) criteria for persistent use (episodes of opioid prescribing lasting longer than 90 days and 120 or more total days' supply or 10 or more prescriptions in 180 days after the index fill). Multivariable logistic regression was performed to identify predictors of long-term use.

RESULTS

A total of 25,587 patients were included, of whom 52.7% underwent PLF (n = 13,486) and 32.5% (n = 8312) were opioid-naive prior to surgery. The rates of additional fills, persistent fills, and CONSORT use were 47%, 30%, and 23%, respectively, after PLF and 35.4%, 19%, and 14.2%, respectively, after LDD. The rates among opioid-naive patients were 18.9%, 5.6%, and 2.5% respectively, after PLF and 13.3%, 2.0%, and 0.8%, respectively, after LDD. Using multivariable logistic regression, the following were identified to be significantly associated with higher risk of long-term opioid use following PLF: discharge opioid prescription ≥ 500 MMEs, prescription of a long-acting opioid, female sex, multilevel surgery, and comorbidities such as depression and drug abuse (all p < 0.05). Elderly (age ≥ 65 years) and opioid-naive patients were found to be at lower risk (all p < 0.05). Similar results were obtained on analysis for LDD with the following significant additional risk factors identified: discharge opioid prescription ≥ 400 MMEs, prescription of tramadol alone at discharge, and inpatient surgery (all p < 0.05).

CONCLUSIONS

In an analysis of pharmacy claims from a national insurance database, the authors identified incidence and predictors of long-term opioid use after elective lumbar spine surgery.

Site of care potentially limits cost savings from biosimilars

OBJECTIVES

The first FDA-approved biosimilar was launched in 2015: filgrastim-sndz (Zarxio), a biosimilar for the reference drug filgrastim (Neupogen). Filgrastim is a granulocyte colony-stimulating factor used to prevent and treat neutropenia. In this study, we examined the association between site of care and drug cost across reference filgrastim, tbo-filgrastim (Granix; a version of filgrastim approved as a biosimilar in Europe and as a new drug in the United States), and biosimilar filgrastim administrations among the commercially insured.

STUDY DESIGN

Retrospective study using administrative claims data.

METHODS

We used OptumLabs Data Warehouse to identify the site of care of each short-acting filgrastim administration among commercial enrollees between January 1, 2014, and December 31, 2019.

RESULTS

For each filgrastim product, model-adjusted median drug costs were higher in the outpatient hospital setting than for the same drug administered in the office setting. Comparing drug costs within the same setting, in the office setting, costs of biosimilar and tbo-filgrastim were $103.61 and $94.07 lower than reference filgrastim, respectively (P < .001 for each comparison). In the outpatient hospital setting, adjusted median costs for tbo-filgrastim were lower than those for reference filgrastim (-$132.90; P < .001), but adjusted median costs of the biosimilar were slightly higher ($20.50; P = .025).

CONCLUSIONS

Although previous work has found lower costs for biosimilar filgrastim compared with reference filgrastim, here we found that site of care can change this calculus, reducing savings. After adjusting for patient characteristics and geography, we found that drug cost savings for biosimilar filgrastim were limited to the office setting, with no savings in the outpatient hospital setting.

Association of outpatient ACE inhibitors and angiotensin receptor blockers and outcomes of acute respiratory illness: a retrospective cohort study

OBJECTIVES

Evaluate associations between ACE inhibitors (ACEis) and angiotensin receptor blockers (ARBs) and clinical outcomes in acute viral respiratory illness (AVRI).

DESIGN

Retrospective cohort analysis of claims data.

SETTING

The USA; 2018-2019 influenza season.

PARTICIPANTS

Main cohort: people with hypertension (HTN) taking an ACEi, ARB or other HTN medications, and experiencing AVRI. Falsification cohort: parallel cohort receiving elective knee or hip replacement.

MAIN OUTCOME MEASURES

Main cohort: hospital admission, intensive care unit, acute respiratory distress (ARD), ARD syndrome and all-cause mortality. Falsification cohort: complications after surgery and all-cause mortality.

RESULTS

The main cohort included 236 843 episodes of AVRI contributed by 202 629 unique individuals. Most episodes were in women (58.9%), 81.4% in people with Medicare Advantage and 40.3% in people aged 75+ years. Odds of mortality were lower in the ACEi (0.78 (0.74 to 0.83)) and ARB (0.64 (0.61 to 0.68)) cohorts compared with other HTN medications. On all other outcomes, people taking ARBs (but not ACEis) had a >10% reduction in odds of inpatient stays compared with other HTN medications.In the falsification analysis (N=103 353), both ACEis (0.89 (0.80 to 0.98)) and ARBs (0.82 (0.74 to 0.91)) were associated with decreased odds of complications compared with other HTN medications; ARBs (0.64 (0.47 to 0.87)) but not ACEis (0.79 (0.60 to 1.05)) were associated with lower odds of death compared with other HTN medications.

CONCLUSIONS

Outpatient use of ARBs was associated with better outcomes with AVRI compared with other medications for HTN. ACEis were associated with reduced risk of death, but with minimal or no reduction in risk of other complications. A falsification analysis conducted to provide context on the possible causal implications of these findings did not provide a clear answer. Further analysis using observational data will benefit from additional approaches to assess causal relationships between these drugs and outcomes in AVRI.

Physician variation in the de-adoption of ineffective statin and fibrate therapy

OBJECTIVE

To describe physicians' variation in de-adopting concurrent statin and fibrate therapy for type 2 diabetic patients following a reversal in clinical evidence.

DATA SOURCES

We analyzed 2007-2015 claims data from OptumLabs^® Data Warehouse, a longitudinal, real-world data asset with de-identified administrative claims and electronic health record data.

STUDY DESIGN

We modeled fibrate use among Medicare Advantage and commercially insured type 2 diabetic statin users before and after the publication of the ACCORD lipid trial, which found statins and fibrates were no more effective than statins alone in reducing cardiovascular events among type 2 diabetic patients. We modeled fibrate use trends with physician random effects and physician characteristics such as age and specialty.

DATA EXTRACTION

We identified patient-year-quarters with one year of continuous insurance enrollment, type 2 diabetes diagnoses, and fibrate use. We designated the physician most responsible for patients' diabetes care based on evaluation and management visits and prescriptions of glucose-lowering drugs.

PRINCIPAL FINDINGS

Fibrate use increased by 0.12 percentage points per quarter among commercial patients (95% CI, 0.10 to 0.14) and 0.17 percentage points per quarter among Medicare Advantage patients (95% CI, 0.13 to 0.20) before the trial and then decreased by 0.16 percentage points per quarter among commercial patients (95% CI, -0.18 to -0.15) and 0.05 percentage points per quarter among Medicare Advantage patients (95% CI, -0.06 to -0.03) after the trial. However, 45% of physicians treating commercial patients and 48% of physicians treating Medicare Advantage patients had positive trends in prescribing following the trial. Physicians' characteristics did not explain their variation (pseudo R²  = 0.000).

CONCLUSION

On average, physicians decreased fibrate prescribing following the ACCORD lipid trial. However, many physicians increased prescribing following the trial. Observable physician characteristics did not explain variations in prescribing. Future research should examine whether physicians vary similarly in other de-adoption settings.

Trends in Pain Medication Initiation Among Patients With Newly Diagnosed Diabetic Peripheral Neuropathy, 2014-2018

This cohort study assesses trends in the rates of initiation of pain medication among patients with newly diagnosed diabetic peripheral neuropathy and the types of pain medication prescribed from 2014 to 2018.

Biosimilar Filgrastim Uptake And Costs Among Commercially Insured, Medicare Advantage

In 2015 the Food and Drug Administration approved filgrastim-sndz (Zarxio), the first US biosimilar. Following rapid uptake, by March 2018 filgrastim-sndz accounted for 47 percent of filgrastim administrations among commercially insured and 42 percent among Medicare Advantage beneficiaries. The initial cost difference between the originator and biosimilar was 31 percent in the former population but negligible in the latter.

Patient and provider-level factors associated with changes in utilization of treatments in response to evidence on ineffectiveness or harm

High-quality health care not only includes timely access to effective new therapies but timely abandonment of therapies when they are found to be ineffective or unsafe. Little is known about changes in use of medications after they are shown to be ineffective or unsafe. In this study, we examine changes in use of two medications: fenofibrate, which was found to be ineffective when used with statins among patients with Type 2 diabetes (ACCORD lipid trial); and dronedarone, which was found to be unsafe in patients with permanent atrial fibrillation (PALLAS trial). We examine the patient and provider characteristics associated with a decline in use of these medications. Using Medicare fee-for-service claims from 2008 to 2013, we identified two cohorts: patients with Type 2 diabetes using statins (7 million patient-quarters), and patients with permanent atrial fibrillation (83 thousand patient-quarters). We used interrupted time-series regression models to identify the patient- and provider-level characteristics associated with changes in medication use after new evidence emerged for each case. After new evidence of ineffectiveness emerged, fenofibrate use declined by 0.01 percentage points per quarter (95% CI - 0.02 to - 0.01) from a baseline of 6.9 percent of all diabetes patients receiving fenofibrate; dronedarone use declined by 0.13 percentage points per quarter (95% CI - 0.15 to - 0.10) from a baseline of 3.8 percent of permanent atrial fibrillation patients receiving dronedarone. For dronedarone, use declined more quickly among patients dually-enrolled in Medicare and Medicaid compared to Medicare-only patients (P < 0.001), among patients seen by male providers compared to female providers (P = 0.01), and among patients seen by cardiologists compared to primary care providers (P < 0.001).

Place, poverty and prescriptions: a cross-sectional study using Area Deprivation Index to assess opioid use and drug-poisoning mortality in the USA from 2012 to 2017

OBJECTIVE

To identify the relationships between county-level area deprivation and patterns of both opioid prescriptions and drug-poisoning mortality.

DESIGN, SETTING AND PARTICIPANTS

For this retrospective cross-sectional study, we used the IQVIA Xponent data to capture opioid prescriptions and Centres for Disease Control and Prevention National Vital Statistics System to assess drug-poisoning mortality. The Area Deprivation Index (ADI) is a composite measure of social determinants of health comprised of 17 US census indicators, spanning four socioeconomic domains. For all US counties with available opioid prescription (2712 counties) and drug-poisoning mortality (3133 counties) data between 2012 and 2017, we used negative binomial regression to examine the association between quintiles of county-level ADI and the rates of opioid prescriptions and drug-poisoning mortality adjusted for year, age, race and sex.

PRIMARY OUTCOME MEASURES

County-level opioid prescription fills and drug-poisoning mortality.

RESULTS

Between 2012 and 2017, overall rates of opioid prescriptions decreased from 96.6 to 72.2 per 100 people, while the rates of drug-poisoning mortality increased from 14.3 to 22.8 per 100 000 people. Opioid prescription and drug-poisoning mortality rates were consistently higher with greater levels of deprivation. The risk of filling an opioid prescription was 72% higher, and the risk of drug-poisoning mortality was 36% higher, for most deprived compared with the least deprived counties (both p<0.001).

DISCUSSION

Counties with greater area-level deprivation have higher rates of filled opioid prescriptions and drug-poisoning mortality. Although opioid prescription rates declined across all ADI quintiles, the rates of drug-poisoning mortality continued to rise proportionately in each ADI quintile. This underscores the need for individualised and targeted interventions that consider the deprivation of communities where people live.

Use of Potentially Nephrotoxic Medications by U.S. Adults with Chronic Kidney Disease: NHANES, 2011-2016

BACKGROUND

People with chronic kidney disease (CKD) are at risk for adverse events and/or CKD progression with use of renally eliminated or nephrotoxic medications.

OBJECTIVE

To examine the prevalence of potentially inappropriate medication (PIM) use by U.S. adults by CKD stage and self-reported CKD awareness.

DESIGN

Cross-sectional analysis of National Health and Nutrition Examination Surveys, 2011-2016 PARTICIPANTS: Non-pregnant adults with stages 3a (eGFR 45-59 mL/min/1.73 m2), 3b (eGFR 30-44), or 4-5 (eGFR < 30) CKD, stratified as CKD-aware/unaware.

MAIN MEASURES

PIMs were identified on the basis of KDIGO guidelines, label information, and literature review. We calculated proportions using any and individual PIMs, assessing for differences over CKD awareness within each CKD stage. Analyses were adjusted for age, sex, race/ethnicity, education, comorbidities, and insurance type.

KEY RESULTS

Adjusted proportions of U.S. adults taking any PIM(s) exceeded 50% for all CKD stages and awareness categories, and were highest among CKD-unaware patients with stages 4-5 CKD: 66.6% (95% CI, 55.5-77.8). Proton pump inhibitors, opioids, metformin, sulfonylureas, and non-steroidal anti-inflammatory drugs (NSAIDs) were all used frequently across CKD stages. NSAIDs were used less frequently when CKD-aware by patients with stage 3a CKD (2.2% [95% CI, - 0.3 to 4.7] vs. 10.7% [95% CI, 7.6 to 13.8]) and stages 4-5 CKD (0.8% [95% CI, - 0.9 to 2.5] vs. 16.5% [95% CI, 4.0 to 29.0]). Metformin was used less frequently when CKD-aware by patients with stage 3b CKD (8.1% [95% CI, 0.3-15.9] vs. 26.5% [95% CI, 17.4-35.7]) and stages 4-5 CKD (none vs. 20.8% [95% CI, 1.8-39.8]). The impact of CKD awareness was statistically significant after correction for multiple comparisons only for NSAIDs in stage 3a CKD.

CONCLUSIONS

PIMs are frequently used by people with CKD, with some impact of CKD awareness on NSAID and metformin use. This may lead to adverse outcomes or hasten CKD progression, reinforcing the need for improved medication management among people with CKD.

Assessment of Potentially Inappropriate Prescribing of Opioid Analgesics Requiring Prior Opioid Tolerance

IMPORTANCE

Opioid-tolerant only (OTO) medications, such as transmucosal immediate-release fentanyl products and certain extended-release opioid analgesics, require prior opioid tolerance for safe use, as patients without tolerance may be at increased risk of overdose. Studies using insurance claims have found that many patients initiating these medications do not appear to be opioid tolerant.

OBJECTIVES

To measure prevalence of opioid tolerance in patients initiating OTO medications and to determine whether linked electronic health record (EHR) data contribute evidence of opioid tolerance not found in insurance claims data.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used a national database of deidentified longitudinal health information, including medical and pharmacy claims, insurance enrollment, and EHR data, from January 1, 2007, to December 31, 2016. Data included 131 756 US residents with at least 183 days of continuous enrollment in commercial or Medicare Advantage insurance (including medical and pharmacy benefits) who had received an OTO medication and who had no inpatient stays in the 30 days prior to starting an OTO medication; of these, 20 044 individuals had linked EHR data within the prior 183 days. Data were analyzed from July 1, 2017, to August 31, 2018.

EXPOSURES

Initiating an OTO medication.

MAIN OUTCOMES AND MEASURES

Prior opioid tolerance demonstrated through pharmacy fills or EHR data on prescriptions written.

RESULTS

Among 153 385 OTO use episodes identified, 89 029 (58.0%) occurred among women, 62 900 (41.0%) occurred among patients with Medicare Advantage insurance, 39 394 (25.7%) occurred in the Midwest, 17 366 (11.3%) occurred in the Northeast, 73 316 (47.8%) occurred in the South, and 23 309 (15.2%) occurred in the West. Less than half of use episodes (73 117 episodes [47.7%]) involved patients with evidence in claims data of opioid tolerance prior to initiating therapy with an OTO medication, including 31 392 of 101 676 episodes (30.9%) involving transdermal fentanyl, 1561 of 2440 episodes (64.0%) involving transmucosal fentanyl, 36 596 of 43 559 episodes (84.0%) involving extended-release oxycodone, and 3568 of 5710 episodes (62.5%) involving extended-release hydromorphone. Among 20 044 OTO use episodes with linked EHR and claims data, less than 1% of OTO episodes identified in claims had evidence of opioid tolerance in structured EHR data that was not present in claims data (108 episodes [0.5%]). After limiting the sample to OTO episodes identified in claims with a matching OTO prescription within 14 days in the structured EHR data, only 40 of 939 episodes (4.0%) occurred among patients with evidence of tolerance that was not present in claims data.

CONCLUSIONS AND RELEVANCE

This cohort study found that most patients initiating OTO medications did not have evidence of prior opioid tolerance, suggesting they were at increased risk of opioid-related harms, including fatal overdose. Data from EHRs did not contribute substantial additional evidence of opioid tolerance beyond the data found in prescription claims. Future research is needed to understand the clinical rationale behind these observed prescribing patterns and to quantify the risk of harm to patients associated with potentially inappropriate prescribing.

User-centred clinical decision support to implement emergency department-initiated buprenorphine for opioid use disorder: protocol for the pragmatic group randomised EMBED trial

INTRODUCTION

The goal of this trial is to determine whether implementation of a user-centred clinical decision support (CDS) system can increase adoption of initiation of buprenorphine (BUP) into the routine emergency care of individuals with opioid use disorder (OUD).

METHODS

A pragmatic cluster randomised trial is planned to be carried out in 20 emergency departments (EDs) across five healthcare systems over 18 months. The intervention consists of a user-centred CDS integrated into ED clinician electronic workflow and available for guidance to: (1) determine whether patients presenting to the ED meet criteria for OUD, (2) assess withdrawal symptoms and (3) ascertain and motivate patient willingness to initiate treatment. The CDS guides the ED clinician to initiate BUP and facilitate follow-up. The primary outcome is the rate of BUP initiated in the ED. Secondary outcomes are: (1) rates of receiving a referral, (2) fidelity with the CDS and (3) rates of clinicians providing any ED-initiated BUP, referral for ongoing treatment and receiving Drug Addiction Act of 2000 training. Primary and secondary outcomes will be analysed using generalised linear mixed models, with fixed effects for intervention status (CDS vs usual care), prespecified site and patient characteristics, and random effects for study site.

ETHICS AND DISSEMINATION

The protocol has been approved by the Western Institutional Review Board. No identifiable private information will be collected from patients. A waiver of informed consent was obtained for the collection of data for clinician prescribing and other activities. As a minimal risk implementation study of established best practices, an Independent Study Monitor will be utilised in place of a Data Safety Monitoring Board. Results will be reported in ClinicalTrials.gov and published in open-access, peer-reviewed journals, presented at national meetings and shared with the clinicians at participating sites via a broadcast email notification of publications.

TRIAL REGISTRATION NUMBER

NCT03658642; Pre-results.

Trends in opioid use in commercially insured and Medicare Advantage populations in 2007-16: retrospective cohort study

OBJECTIVE

To describe trends in the rate and daily dose of opioids used among commercial and Medicare Advantage beneficiaries from 2007 to 2016.

DESIGN

Retrospective cohort study of administrative claims data.

SETTING

National database of medical and pharmacy claims for commercially insured and Medicare Advantage beneficiaries in the United States.

PARTICIPANTS

48 million individuals with any period of insurance coverage between 1 January 2007 and 31 December 2016, including commercial beneficiaries, Medicare Advantage beneficiaries aged 65 years and over, and Medicare Advantage beneficiaries under age 65 years (eligible owing to permanent disability).

MAIN ENDPOINTS

Proportion of beneficiaries with any opioid prescription per quarter, average daily dose in milligram morphine equivalents (MME), and proportion of opioid use episodes that represented long term use.

RESULTS

Across all years of the study, annual opioid use prevalence was 14% for commercial beneficiaries, 26% for aged Medicare beneficiaries, and 52% for disabled Medicare beneficiaries. In the commercial beneficiary group, quarterly prevalence of opioid use changed little, starting and ending the study period at 6%; the average daily dose of 17 MME remained unchanged since 2011. For aged Medicare beneficiaries, quarterly use prevalence was also relatively stable, ranging from 11% at the beginning of the study period to 14% at the end. Disabled Medicare beneficiaries had the highest rates of opioid use, the highest rate of long term use, and the largest average daily doses. In this group, both quarterly use rates (39%) and average daily dose (56 MME) were higher at the end of 2016 than the low points observed in 2007 for each endpoint (26% prevalence and 53 MME).

CONCLUSIONS

Opioid use rates were high during the study period of 2007-16, with the highest rates in disabled Medicare beneficiaries versus aged Medicare beneficiaries and commercial beneficiaries. Opioid use and average daily dose have not substantially declined from their peaks, despite increased attention to opioid abuse and awareness of their risks.

Factors Associated with Emergency Department Utilization and Admission in Patients with Colorectal Cancer

PURPOSE

We assessed emergency department (ED) utilization in patients with colorectal cancer to identify factors associated with ED visits and subsequent admission, as well as identify a high-risk subset of patients that could be targeted to reduce ED visits.

METHODS

Data from Optum Labs Data Warehouse, a national administrative claims database, was retrospectively analyzed to identify patients with colorectal cancer from 2008 to 2014. Multivariable logistic regression was used to identify factors associated with ED visits and ED "super-users" (3+ visits). Repeated measures analysis was used to model ED visits resulting in hospitalization as a logistic regression based on treatments 30 days prior to ED visit.

RESULTS

Of 13,466 patients with colorectal cancer, 7440 (55.2%) had at least one ED visit within 12 months of diagnosis. Factors associated with having an ED visit included non-white race, advancing age, increased comorbidities, and receipt of chemotherapy or radiation. 69.2% of patients who visited the ED were admitted to the hospital. A group of 1834 "super-users" comprised 13.6% of our population yet accounted for 52.1% of the total number of ED visits and 32.3% of admissions.

CONCLUSIONS

Over half of privately insured patients undergoing treatment for colorectal cancer will visit the ED within 12 months of diagnosis. Within this group, we identify common factors for a high-risk subset of patients with three or more ED visits who account for over half of all ED visits and a third of all admissions. These patients could potentially be targeted with alternative management strategies in the outpatient setting.

Health Care Service Use Among Elderly Seasonal Migrators

Elderly seasonal migrators share time between homes in different states, presenting challenges for care coordination and patient attribution methods. Medicare has prioritized alternative payment models, putting health care providers at risk for quality and value of services delivered to their attributed patients, regardless of the location of care. Little research is available to guide providers and payers on the service use of seasonal migrators. The authors use claims data on fee-for-service (FFS) Medicare beneficiaries' locations throughout the year to (1) identify seasonal migrators and (2) describe the care they receive in each seasonal home, focusing on primary care and emergency department (ED) visits and the relationships between the two. In all, 5.5% of the Medicare aged FFS population were identified as seasonal migrators, with 4.1% following the traditional snowbird pattern of migration, spending warm months in the north and cold months in the south. Migrators had higher rates of ED visits and primary care treatable (PCT) ED visits than the nonmigratory groups, controlling for location, age, race, sex, Medicaid status, season, and comorbidities. They also had more visits with specialist physicians, more days with outpatient services, and more days seeing a physician in any setting. Having local primary care strongly reduced rates of both PCT ED visits and total ED visits for all migration categories, with the greatest reduction seen in PCT ED visits by migrators (local primary care was associated with a 58% reduction in PCT ED visits by snowbirds and a 65% reduction in PCT ED visits by other migrators).

Validation of an algorithm to determine the primary care treatability of emergency department visits

OBJECTIVES

We propose a new claims-computable measure of the primary care treatability of emergency department (ED) visits and validate it using a nationally representative sample of Medicare data.

STUDY DESIGN AND SETTING

This is a validation study using 2011-2012 Medicare claims data for a nationally representative 5% sample of fee-for-service beneficiaries to compare the new measure's performance to the Ballard variant of the Billings algorithm in predicting hospitalisation and death following an ED visit.

OUTCOMES

Hospitalisation within 1 day or 1 week of an ED visit; death within 1 week or 1 month of an ED visit.

RESULTS

The Minnesota algorithm is a strong predictor of hospitalisations and deaths, with performance similar to or better than the most commonly used existing algorithm to assess the severity of ED visits. The Billings/Ballard algorithm is a better predictor of death within 1 week of an ED visit; this finding is entirely driven by a small number of ED visits where patients appear to have been dead on arrival.

CONCLUSIONS

The procedure-based approach of the Minnesota algorithm allows researchers to use the clinical judgement of the ED physician, who saw the patient to determine the likely severity of each visit. The Minnesota algorithm may thus provide a useful tool for investigating ED use in Medicare beneficiaries.

Closing the quality gap: revisiting the state of the science (vol. 7: quality improvement measurement of outcomes for people with disabilities)

OBJECTIVE

To examine how health care outcomes for general medical care have been assessed for people with disabilities within the rubrics of care coordination and quality improvement.

DATA SOURCES

MEDLINE®, PsychINFO, ERIC, and CIRRIE through March 27, 2012; hand searches of references from relevant literature and journals. A search of high-quality gray literature sources was also conducted.

REVIEW METHODS

We included all forms of disability except severe and persistent mental illness for all age groups in outpatient and community settings. We focused on outcomes, patient experience, and care coordination process measures. We looked for generic outcome measures rather than disability-condition-specific measures. We also looked for examples of outcomes used in the context of disability as a complicating condition for a set of basic service needs relevant to the general population, and secondary conditions common to disability populations. Two independent reviewers screened all articles; disagreements were resolved through consensus. Included articles were abstracted to evidence tables and quality-checked by a second reviewer. Data synthesis was qualitative.

RESULTS

A total of 15,513 articles were screened; 15 articles were included for general outcome measures and 44 studies for care coordination. A large number of outcome measures have been critically assessed and mapped to the International Classification of Functioning, Disability and Health. We found no eligible studies of basic medical needs or secondary conditions that examined mixed populations of disabled and nondisabled participants for disability as a complicating condition. Care coordination literature for people with disabilities is relatively new and focuses on initial implementation of interventions rather than assessing the quality of the implementation.

CONCLUSIONS

We found very few direct examples of work conducted from the perspective of disability as a complicating condition. The sparse literature indicates the early stages of research development. Capturing the disability perspective will require collaboration and coordination of measurement efforts across medical interventions, rehabilitation, and social support provision.