Associations Between the Specialty of Opioid Prescribers and Opioid Addiction, Misuse, and Overdose Outcomes.

OBJECTIVE: To examine associations between opioid prescriber specialty and patient likelihood of opioid use disorder (OUD), opioid misuse, and opioid overdose. DESIGN: Longitudinal retrospective study using Pennsylvania Medicaid data (2007-2015). METHODS: We constructed an incident cohort of 432,110 enrollees initiating prescription opioid use without a history of OUD or overdose six months before opioid initiation. We attributed patients to one of 10 specialties using the first opioid prescriber's specialty or, alternatively, the specialty of the dominant prescriber writing the majority of the patient's opioid prescriptions. We estimated adjusted rates for OUD, misuse, and overdose, adjusting for demographic variables and medical (including pain) and psychiatric comorbidities. RESULTS: The unadjusted incidence rates of OUD, misuse, and overdose were 7.13, 4.73, and 0.69 per 100,000 person-days, respectively. Patients initiating a new episode of opioid treatment with Pain Medicine/Anesthesiology (6.7 events, 95% confidence interval [CI] = 5.5 to 8.2) or Physical Medicine and Rehabilitation (PM&R; 6.1 events, 95% CI = 5.1 to 7.2) had higher adjusted rates for OUD per 100,000 person-days compared with Primary Care practitioners (PCPs; 4.4 events, 95% CI = 4.1 to 4.7). Patients with index prescriptions from Pain Medicine/Anesthesiology (15.9 events, 95% CI = 13.2 to 19.3) or PM&R (15.8 events, 95% CI = 13.5 to 18.4) had higher adjusted rates for misuse per 100,000 person-days compared with PCPs (9.6 events, 95% CI = 8.8 to 10.6). Findings were largely similar when patients were attributed to specialty based on dominant prescriber. CONCLUSIONS: Differences in opioid-related risks by specialty of opioid prescriber may arise from differences in patient risk factors, provider behavior, or both. Our findings inform targeting of opioid risk mitigation strategies to specific practitioner specialties.

Use of Complementary and Alternative Medicine in Fibromyalgia: Results of an Online Survey.

BACKGROUND: Fibromyalgia is a chronic condition which may negatively impact various aspects of patients' lives. Many people with fibromyalgia look to complementary and alternative medicine treatments for symptom relief. AIMS: The three main objectives of this study were to examine self-reported complementary and alternative medicine use in patients with fibromyalgia, to determine associations between the use of complementary and alternative medicine treatments and patients' self-reported quality of live and self-reported pain levels. DESIGN: Cross-sectional survey. SETTING: Web-based. PARTICIPANTS/SUBJECTS: Adults over the age of 18 years who had been diagnosed with fibromyalgia. METHODS: Patients with fibromyalgia responded to an online questionnaire regarding the following: treatments (complementary and alternative medicine, prescription and over-the-counter medications), quality of life (Quality of Life Scale-16), assessment of current pain (visual analog scale), and demographic information. RESULTS: Approximately 66% of the respondents used complementary and alternative treatments. Vitamins, massage therapy, and meditation were the most commonly used complementary and alternative therapies. Results indicated respondents using a combination of complementary and alternative medicine and pharmacologic treatments (prescription or over-the-counter) had significantly higher quality of life versus those using pharmacologic treatments alone, p = .011. Similarly, respondents using only complementary and alternative medicine treatment reported significantly lower pain levels versus those using pharmacologic treatment alone, p = .046. CONCLUSIONS: The study suggests that a large proportion of fibromyalgia patients use complementary and alternative medicine, and these treatments may offer beneficial effects to these patients. Integration of complementary and alternative medicine into conventional treatment regimens may provide opportunities for a holistic treatment approach and greater symptom relief for fibromyalgia patients. This approach is timely, as controlled substances are increasingly difficult for patients with fibromyalgia to access.

An Examination of Claims-based Predictors of Overdose from a Large Medicaid Program.

BACKGROUND: Health systems may play an important role in identification of patients at-risk of opioid medication overdose. However, standard measures for identifying overdose risk in administrative data do not exist. OBJECTIVE: Examine the association between opioid medication overdose and 2 validated measures of nonmedical use of prescription opioids within claims data. RESEARCH DESIGN: A longitudinal retrospective cohort study that estimated associations between overdose and nonmedical use. SUBJECTS: Adult Pennsylvania Medicaid program 2007-2012 patients initiating opioid treatment who were: nondual eligible, without cancer diagnosis, and not in long-term care facilities or receiving hospice. MEASURES: Overdose (International Classification of Disease, ninth edition, prescription opioid poisonings codes), opioid abuse (opioid use disorder diagnosis while possessing an opioid prescription), opioid misuse (a composite indicator of number of opioid prescribers, number of pharmacies, and days supplied), and dose exposure during opioid treatment episodes. RESULTS: A total of 372,347 Medicaid enrollees with 583,013 new opioid treatment episodes were included in the cohort. Opioid overdose was higher among those with abuse (1.5%) compared with those without (0.2%, P<0.001). Overdose was higher among those with probable (1.8%) and possible (0.9%) misuse compared with those without (0.2%, P<0.001). Abuse [adjusted rate ratio (ARR), 1.52; 95% confidence interval (CI), 1.10-2.10), probable misuse (ARR, 1.98; 95% CI, 1.46-2.67), and possible misuse (ARR, 1.76; 95% CI, 1.48-2.09) were associated with significantly more events of opioid medication overdose compared with those without. CONCLUSIONS: Claims-based measures can be used by health systems to identify individuals at-risk of overdose who can be targeted for restrictions on opioid prescribing, dispensing, or referral to treatment.

The Clinical and Economic Impact of Employees Who Are Care Partners of Patients with Multiple Sclerosis by Disease Severity.

Background: Research on employee care partners of patients with multiple sclerosis (MS) is limited. Objectives: The clinical and economic impact on employee care partners was evaluated by MS disease severity. Methods: Employees with spouses/domestic partners with MS from the Workpartners database (Jan. 1, 2010-Dec. 31, 2019) were eligible if: spouse/partner had at least 3 MS-related (ICD-9-CM/ICD-10-CM:340.xx/G35) inpatient/outpatient/disease-modifying therapy claims within 1 year (latest claim = index date); 6-month pre-index/1-year post-index enrollment; and age 18 to 64 years. Employee care partners' demographic/clinical characteristics and direct/indirect costs were compared across predetermined MS severity categories. Logistic and generalized linear regression modeled the costs. Results: Among 1041 employee care partners of patients with MS, 358 (34.4%) patients had mild MS, 491 (47.2%) moderate, and 192 (18.4%) severe. Mean (standard error [SE]) employee care partner age was 49.0 (0.5) for patients with mild disease, 50.5 (0.4) for moderate, 51.7 (0.6) for severe; percent female care partners was 24.6% [2.3%] mild, 19.8% [1.8%] moderate, 27.6% [3.2%] severe; and mean care partner Charlson Comorbidity Index scores 0.28 (0.05) mild, 0.30 (0.04) moderate, 0.27 (0.06) severe. More care partners of patients with moderate/severe vs mild MS had hyperlipidemia (32.6%/31.8% vs 21.2%), hypertension (29.5%/29.7% vs 19.3%), gastrointestinal disease (20.8%/22.9% vs 13.1%), depression (9.2%/10.9% vs 3.9%), and anxiety 10.6%/8.9% vs 4.2%). Adjusted mean medical costs were greater for employee care partners of patients with moderate vs mild/severe disease (P<.001). Pharmacy costs (SE) were lower for employee care partners of mild vs severe/moderate patients (P<.005). Sick leave costs (SE) were greater for employee care partners of mild/severe vs moderate patients (P<.05). Discussion: Employee care partners of patients with moderate/severe vs mild MS had more comorbidities (ie, hypertension, gastrointestinal disease, depression, and anxiety) and higher pharmacy costs. Employee care partners of patients with moderate vs mild/severe MS had higher medical and lower sick leave costs. Treatment strategies that improve patient outcomes may reduce employee care partner burden and lower costs for employers in some instances. Conclusions: Comorbidities and direct/indirect costs of employees whose spouses/partners have MS were considerable and varied with MS severity.

Patterns of Comorbidity and Multimorbidity Among Patients With Multiple Sclerosis in a Large US Commercially Insured and Medicare Advantage Population.

Background: Comorbidities are common in patients with multiple sclerosis (MS), thus increasing the complexity of disease management and economic burden and worsening their prognosis and quality of life. Real-world evidence comparing comorbidities and multimorbidity patterns of commercially insured vs Medicare enrollees with MS is lacking. Objective: To evaluate the patterns of comorbidity and multimorbidity among patients with MS in a US commercially insured and Medicare Advantage population. Methods: This retrospective observational cohort study was conducted using Aetna health claims data from January 1, 2015, to October 31, 2019. Eligibility criteria were (1) at least 3 MS-related inpatient/outpatient (ICD-10-CM: G35), or disease-modifying therapy claims within 1 year (date of first claim = index date); (2) Aetna commercial health plan or Medicare Advantage medical and pharmacy benefits at least 12 months pre-/post-index; and (3) age 18 and older. Commercially insured patients, Medicare Advantage patients younger than 65 years of age, and Medicare Advantage patients 65 years and older were compared. Results: Among 5000 patients (mean [SD] age, 52.6 [12.9]; 75.2% female), 53% had commercial insurance and 47% had Medicare Advantage (59.2% disabled age <65). Medicare Advantage patients were older (age <65: 53.3 [7.9]; age ≥65: 70.8 [5.2]) vs commercial (age, 45.7 [10.2]), had greater comorbidity burden (Charlson Comorbidity Index; age <65: 1.17 [1.64], age ≥65: 1.65 [1.95]) vs commercial (0.53 [1.02]) (all P < .0001). Symptoms specific to MS (ie, malaise, fatigue, depression, spasms, fibromyalgia, convulsions) were more common among patients younger than 65 (all P < .0001). Age-related and other comorbidities (ie, hypertension, hyperlipidemia, dyspepsia, osteoarthritis, osteoporosis, glaucoma, diabetes, cerebrovascular, cancer) were more common among patients 65 years and older Medicare Advantage (all P < .0001). Multiple comorbidities were highly prevalent (median, 4 comorbidities), particularly among Medicare Advantage patients younger than 65 (median, 6) and Medicare Advantage patients 65 and older (median, 7). Conclusions: Comorbidities and multimorbidity patterns differed between patients with MS with commercial insurance and patients with Medicare Advantage. Multimorbidity was highly prevalent among patients with MS and should be considered in the context of clinical decision making to ensure comprehensive MS management and improve outcomes.

An Explorative Study of Common Themes of Patient Experiences With Migraine.

Objective: To explore important themes in patient experiences with migraine and to understand the relationship of these themes with external factors such as the health care system and societal influences.Methods: This qualitative study was part of a larger online survey (conducted for a period of 2 months from March 1, 2013, to April 30, 2013) that recruited participants with migraine through nonprobability-based sampling techniques. Respondents were asked an open-ended question to describe their experience with migraine. A codebook was developed based on existing literature and new categories that emerged from the responses. Deductive and inductive content analysis was conducted followed by axial coding of the themes based on the codebook.Results: The open-ended question resulted in 154 eligible responses. The final codebook contained 28 categories. The categories were combined into 6 distinct themes. The 6 themes included quality of life and health status, disease condition, societal response to disease, health care and medications, support, and patient response to disease. The most frequently occurring categories were pain and quality of life (QoL) (work functioning). The least frequent themes were cognitive symptoms, QoL economic functioning, and caregiver burden. Axial coding of the themes showed that QoL was the central theme. Aspects of the disease condition and negative societal responses were found to substantially affect QoL, leading to caregiver burden and absence/presence of social support.Conclusions: The findings demonstrate that pain and QoL are central to patient experience with migraine. Attention should be paid to improve the treatment and social support provided to patients and reduce stigma and invalidation.

Prescription Opioid Quality Measures Applied Among Pennsylvania Medicaid Enrollees.

BACKGROUND: The Pharmacy Quality Alliance (PQA) recently developed 3 quality measures for prescribing opioids: high dosages, multiple providers and pharmacies, and concurrent use of opioids and benzodiazepines. OBJECTIVE: To examine the prevalence of the PQA measures and identify the patient demographic and health characteristics associated with the measures. METHODS: We conducted a cross-sectional analysis using Pennsylvania Medicaid data (2013-2015). We limited our analyses to noncancer patients who were aged 18-64 years and not dual-eligible for Medicare/Medicaid. Per PQA specifications, patients were required to possess ≥ 2 opioid prescriptions for ≥ 15 days annual supply each year. Outcome measures included (a) high dosages, defined as > 120 morphine milligram equivalents for ≥ 90 consecutive days; (b) multiple providers/pharmacies, defined as receiving opioid prescriptions from ≥ 4 providers and ≥ 4 pharmacies; and (c) concurrent use of opioids and benzodiazepines, defined as ≥ 30 cumulative days of overlapping opioids and benzodiazepines among individuals having ≥ 2 opioid and ≥ 2 benzodiazepine fills. Patient characteristics assessed included demographics; other medication use; and physical, mental, and behavioral health comorbidities. We present descriptive and multivariable statistical analyses of the data to describe trends in quality measure prevalence and associations with enrollee health characteristics. RESULTS: Numbers of enrollees meeting inclusion criteria ranged from 73,082 in 2013 to 85,710 in 2015. From 2013 to 2015, high dosage prevalence increased from 5.1% to 5.5%; the use of multiple providers/pharmacies decreased from 7.1% to 5.0%; and concurrent use of opioids and benzodiazepines decreased from 29.1% to 28.4% (all P < 0.05). A substantial portion of patients with > 1 PQA measure from 2013 to 2015 was eligible for Medicaid because of disability (41.8%-81.9%). Enrollees with opioid use disorder were more likely to have high dosages (adjusted odds ratio [AOR] = 2.01, 95% CI = 1.83-2.21). Enrollees with anxiety and mood disorders were more likely to have multiple providers/pharmacies (anxiety: AOR = 1.54, 95% CI = 1.43-1.65; mood: AOR = 1.15, 95% CI = 1.06-1.25) and concurrent use of opioids and benzodiazepines (anxiety: AOR = 3.50, 95% CI = 3.38-3.63; mood: AOR = 1.42, 95% CI = 1.36-1.48). CONCLUSIONS: Given high levels of eligibility based on disability and the prevalence of mood, anxiety, and opioid use disorders among those identified by the quality measures, providers may require additional support to care for this patient population. DISCLOSURES: This project was supported by a grant from the Centers for Disease Control and Prevention and was also supported by an intergovernmental agreement between the Pennsylvania Department of Human Services and the University of Pittsburgh. Lo-Ciganic was supported by the University of Arizona Health Sciences Career Development Award. The other authors have nothing to disclose. The conclusions, findings, and opinions expressed by authors contributing to this article do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the Commonwealth of Pennsylvania. A portion of these results was presented at the Association for Medical Education and Research in Substance Abuse 41st National Conference; November 2-4, 2017; Washington, DC.

Medicaid prior authorization and opioid medication abuse and overdose.

OBJECTIVES: The US opioid medication epidemic has resulted in serious health consequences for patients. Formulary management tools adopted by payers, specifically prior authorization (PA) policies, may lower the rates of opioid medication abuse and overdose. We compared rates of opioid abuse and overdose among enrollees in plans that varied in their use of PA from "High PA" (ie, required PA for 17 to 74 opioids), with "Low PA" (ie, required PA for 1 opioid), and "No PA" policies for opioid medications. STUDY DESIGN: Retrospective cohort study of patients initiating opioid treatment in Pennsylvania Medicaid from 2010 to 2012. METHODS: Generalized linear models with generalized estimating equations were employed to assess the relationships between the presence of PA policies and opioid medication abuse and overdose, as measured in Medicaid claims data, adjusting for demographics, comorbid health conditions, benzodiazepine/muscle relaxant use, and emergency department use. RESULTS: The study cohort included 297,634 enrollees with a total of 382,828 opioid treatment episodes. Compared with plans with No PA, enrollees in High PA (adjusted rate ratio [ARR], 0.89; 95% confidence interval [CI], 0.85-0.93; P <.001) and Low PA plans (ARR, 0.93; 95% CI, 0.87-1.00; P = .04) had lower rates of abuse. Enrollees in the Low PA plan had a lower rate of overdose than those within plans with No PA (ARR, 0.75; 95% CI, 0.59-0.95; P = .02). High PA plan enrollees were also less likely than No PA enrollees to experience an overdose, but this association was not statistically significant (ARR, 0.88; 95% CI, 0.76-1.02; P = .08). CONCLUSIONS: Enrollees within Medicaid plans that utilize PA policies appear to have lower rates of abuse and overdose following initiation of opioid medication treatment.

Impact of invalidation and trust in physicians on health outcomes in fibromyalgia patients.

INTRODUCTION: Patients with fibromyalgia have reported experiencing discouragement, rejection, suspicion, and stigma during their encounters with health care professionals. The impact of these experiences on health outcomes has not been extensively examined. The aim of this study was to assess fibromyalgia patients' self-reported quality of life (QoL) and pain based on the following: perceptions of physician attitudes, trust in physicians, perceptions of medical professionals, type of treatment, and various demographic variables. METHOD: An online survey was advertised in the electronic newsletter of the National Fibromyalgia and Chronic Pain Association and data were collected in February 2013. A new scale was developed to measure patient perceptions of physician attitudes. Patients' trust in physicians, patients' perceptions of medical professionals, and QoL were measured using the following standardized scales: Trust in Physician Scale, Illness Invalidation Inventory (3*I), and Quality of Life Scale-16 (QOLS-16). RESULTS: The survey resulted in 670 usable responses. The Patient Perceptions of Physician Attitudes Scale showed high internal consistency and convergent validity (Cronbach α = 0.91). Factor analysis of the Trust in Physician scale, 3*I, and QOLS-16 showed a 1-dimensional structure. Invalidation, use of complementary and alternative medicine, income, age, and marital status were significant predictors of QoL (P < .001). Trust in physician, income, education, and number of referrals to health care providers were significant predictors of pain (P < .001). CONCLUSIONS: Invalidation, trust in physician, and use of complementary medicine can have significant impact on QoL and pain in fibromyalgia. Further research in more representative fibromyalgia samples may help confirm findings.