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1.
Article in English | MEDLINE | ID: mdl-38976502

ABSTRACT

Introduction: This study aimed to understand health care providers' experiences implementing the Oregon Back Pain Policy (OBPP) over time. The Medicaid OBPP expanded coverage of evidence-based nonpharmacological therapy (NPT) for back pain and restricted access to opioid therapy and interventional approaches. Methods: The study included six online, asynchronous focus groups with providers in February 2020 (Time 1) and August 2022 (Time 2). Analysis was conducted with a longitudinal, recurrent cross-sectional approach. Analysis occurred in three stages: (1) An immersion/crystallization approach was used to analyze Time 1 focus group data, (2) reflexive thematic analysis was used to analyze Time 2 data, and (3) longitudinal analysis was used to integrate the findings across time points. Results: At Time 1, 48 clinicians and 44 NPT providers participated in the study. Time 2 included 63 clinicians and 59 NPT providers. The longitudinal analysis of the focus group data resulted in four themes: (1) general awareness of the policy, (2) providers support the policy and perceive a benefit to their patients, (3) barriers to NPT accessibility, and (4) barriers to referring patients to NPT. Conclusion: The goal of the OBPP was to improve back pain care for Oregon Medicaid members by increasing access to evidence-based NPT and decreasing reliance on opioid medications. This study revealed that, although clinicians and NPT providers supported the policy, they faced persistent implementation challenges related to referrals, prior authorizations, coverage limitations, low reimbursement rates, and a reduced workforce for NPT providers. In some cases, implementation barriers were removed during the COVID-19 pandemic, but other challenges were more prominent during the pandemic.

2.
Article in English | MEDLINE | ID: mdl-39007182

ABSTRACT

Background and Purpose: Despite the lack of proven efficacy, opioids historically have been used for the treatment of noncancer back pain. A variety of other effective therapeutic options for pain management are becoming more available over time. In 2016, Oregon implemented a unique and novel policy to improve evidence-based back pain care and promote safer and more effective opioid prescribing through the state's Medicaid program, the Oregon Health Plan. This article examines the ways providers adapted to providing care for patients with back pain in the context of COVID-19 and to better understand the challenges faced by and adaptations made by providers. Methods: We conducted focus groups with clinicians and physical pain treatment modality practitioners (PPTMPs). In total, 129 providers participated in one of six focus groups, including 74 clinicians (54%) and 55 PPTMPs (42%). Reflexive thematic analysis was used to construct themes or units of meaning across data. Results: Focus groups revealed concerns about PPE shortages, telemedicine challenges, communication barriers, and profession-specific responses to COVID-19, which hindered patient care and referrals. Focus groups also highlighted some advantages related to increased insight into patients' lives, which enhanced treatment. Care during COVID-19 has resulted in continued patient interest in telehealth and telemedicine. Conclusion: Optimizing use of these technologies for health conditions, such as back pain, adds to treatment options for patients and gives providers a more holistic understanding of patients' lives, the challenges they may face, and how that impacts their treatment.

3.
JAMA Netw Open ; 7(7): e2423954, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-39037812

ABSTRACT

Importance: Hospitalizations related to opioid use disorder (OUD) represent an opportunity to initiate medication for OUD (MOUD). Objective: To assess whether starting MOUD after a hospitalization or emergency department (ED) visit is associated with the odds of fatal and nonfatal opioid overdose at 6 and 12 months. Design, Setting, and Participants: This population-based cohort study used data from the Oregon Comprehensive Opioid Risk Registry, which links all payer claims data to other administrative health datasets, for individuals aged 18 years or older who had diagnosis codes related to OUD recorded at an index ED visit or hospitalization from January 2017 to December 2019. Data were analyzed between May 2023 and January 2024. Exposures: Receipt of MOUD within the 7 days after an OUD-related hospital visit. Main Outcomes and Measures: The primary outcome was fatal or nonfatal overdose at 6 and 12 months after discharge. Sample characteristics, including age, sex, insurance plan, number of comorbidities, and opioid-related overdose events, were stratified by receipt or nonreceipt of MOUD within 7 days after an OUD-related hospital visit. A logistic regression model was used to investigate the association between receipt of MOUD and having an opioid overdose event. Results: The study included 22 235 patients (53.1% female; 25.0% aged 25-39 years) who had an OUD-related hospital visit during the study period. Overall, 1184 patients (5.3%) received MOUD within 7 days of their ED visit or hospitalization. Of these patients, 683 (57.7%) received buprenorphine, 463 (39.1%) received methadone, and 46 (3.9%) received long-acting injectable naltrexone. Patients who received MOUD within 7 days after discharge had lower adjusted odds of fatal or nonfatal overdose at 6 months compared with those who did not (adjusted odds ratio [AOR], 0.63; 95% CI, 0.41-0.97). At 12 months, there was no difference in adjusted odds of fatal or nonfatal overdose between these groups (AOR, 0.79; 95% CI, 0.58-1.08). Patients had a lower risk of fatal or nonfatal overdose at 6 months associated with buprenorphine use (AOR, 0.50; 95% CI, 0.27-0.95) but not with methadone use (AOR, 0.57; 95% CI, 0.28-1.17). Conclusions and Relevance: In this cohort study of individuals with an OUD-related hospital visit, initiation of MOUD was associated with reduced odds of opioid-related overdose at 6 months. Hospitals should consider implementing programs and protocols to offer initiation of MOUD to patients with OUD who present for care.


Subject(s)
Buprenorphine , Emergency Service, Hospital , Hospitalization , Opiate Overdose , Opioid-Related Disorders , Humans , Male , Female , Opioid-Related Disorders/drug therapy , Adult , Hospitalization/statistics & numerical data , Emergency Service, Hospital/statistics & numerical data , Opiate Overdose/drug therapy , Opiate Overdose/epidemiology , Middle Aged , Buprenorphine/therapeutic use , Oregon , Cohort Studies , Analgesics, Opioid/therapeutic use , Opiate Substitution Treatment/statistics & numerical data , Opiate Substitution Treatment/methods , Young Adult , Methadone/therapeutic use , Adolescent
4.
PLoS One ; 17(4): e0266561, 2022.
Article in English | MEDLINE | ID: mdl-35381052

ABSTRACT

BACKGROUND: Hydrocodone and oxycodone are prescribed commonly to treat pain. However, differences in risk of opioid-related adverse outcomes after an initial prescription are unknown. This study aims to determine the risk of opioid-related adverse events, defined as either chronic use or opioid overdose, following a first prescription of hydrocodone or oxycodone to opioid naïve patients. METHODS: A retrospective analysis of multiple linked public health datasets in the state of Oregon. Adult patients ages 18 and older who a) received an initial prescription for oxycodone or hydrocodone between 2015-2017 and b) had no opioid prescriptions or opioid-related hospitalizations or emergency department visits in the year preceding the prescription were followed through the end of 2018. First-year chronic opioid use was defined as ≥6 opioid prescriptions (including index) and average ≤30 days uncovered between prescriptions. Fatal or non-fatal opioid overdose was indicated from insurance claims, hospital discharge data or vital records. RESULTS: After index prescription, 2.8% (n = 14,458) of individuals developed chronic use and 0.3% (n = 1,480) experienced overdose. After adjustment for patient and index prescription characteristics, patients receiving oxycodone had lower odds of developing chronic use relative to patients receiving hydrocodone (adjusted odds ratio = 0.95, 95% confidence interval (CI) 0.91-1.00) but a higher risk of overdose (adjusted hazard ratio (aHR) = 1.65, 95% CI 1.45-1.87). Oxycodone monotherapy appears to greatly increase the hazard of opioid overdose (aHR 2.18, 95% CI 1.86-2.57) compared with hydrocodone with acetaminophen. Oxycodone combined with acetaminophen also shows a significant increase (aHR 1.26, 95% CI 1.06-1.50), but not to the same extent. CONCLUSIONS: Among previously opioid-naïve patients, the risk of developing chronic use was slightly higher with hydrocodone, whereas the risk of overdose was higher after oxycodone, in combination with acetaminophen or monotherapy. With a goal of reducing overdose-related deaths, hydrocodone may be the favorable agent.


Subject(s)
Hydrocodone , Opiate Overdose , Acetaminophen , Adolescent , Adult , Analgesics, Opioid/therapeutic use , Humans , Hydrocodone/adverse effects , Oxycodone/therapeutic use , Prescriptions , Retrospective Studies
5.
JAMA Netw Open ; 5(1): e2145691, 2022 01 04.
Article in English | MEDLINE | ID: mdl-35089351

ABSTRACT

Importance: The opioid epidemic continues to be a public health crisis in the US. Objective: To assess the patient factors and early time-varying prescription-related factors associated with opioid-related fatal or nonfatal overdose. Design, Setting, and Participants: This cohort study evaluated opioid-naive adult patients in Oregon using data from the Oregon Comprehensive Opioid Risk Registry, which links all payer claims data to other health data sets in the state of Oregon. The observational, population-based sample filled a first (index) opioid prescription in 2015 and was followed up until December 31, 2018. Data analyses were performed from March 1, 2020, to June 15, 2021. Exposures: Overdose after the index opioid prescription. Main Outcomes and Measures: The outcome was an overdose event. The sample was followed up to identify fatal or nonfatal opioid overdoses. Patient and prescription characteristics were identified. Prescription characteristics in the first 6 months after the index prescription were modeled as cumulative, time-dependent measures that were updated monthly through the sixth month of follow-up. A time-dependent Cox proportional hazards regression model was used to assess patient and prescription characteristics that were associated with an increased risk for overdose events. Results: The cohort comprised 236 921 patients (133 839 women [56.5%]), of whom 667 (0.3%) experienced opioid overdose. Risk of overdose was highest among individuals 75 years or older (adjusted hazard ratio [aHR], 3.22; 95% CI, 1.94-5.36) compared with those aged 35 to 44 years; men (aHR, 1.29; 95% CI, 1.10-1.51); those who were dually eligible for Medicaid and Medicare Advantage (aHR, 4.37; 95% CI, 3.09-6.18), had Medicaid (aHR, 3.77; 95% CI, 2.97-4.80), or had Medicare Advantage (aHR, 2.18; 95% CI, 1.44-3.31) compared with those with commercial insurance; those with comorbid substance use disorder (aHR, 2.74; 95% CI, 2.15-3.50), with depression (aHR, 1.26; 95% CI, 1.03-1.55), or with 1 to 2 comorbidities (aHR, 1.32; 95% CI, 1.08-1.62) or 3 or more comorbidities (aHR, 1.90; 95% CI, 1.42-2.53) compared with none. Patients were at an increased overdose risk if they filled oxycodone (aHR, 1.70; 95% CI, 1.04-2.77) or tramadol (aHR, 2.80; 95% CI, 1.34-5.84) compared with codeine; used benzodiazepines (aHR, 1.06; 95% CI, 1.01-1.11); used concurrent opioids and benzodiazepines (aHR, 2.11; 95% CI, 1.70-2.62); or filled opioids from 3 or more pharmacies over 6 months (aHR, 1.38; 95% CI, 1.09-1.75). Conclusions and Relevance: This cohort study used a comprehensive data set to identify patient and prescription-related risk factors that were associated with opioid overdose. These findings may guide opioid counseling and monitoring, the development of clinical decision-making tools, and opioid prevention and treatment resources for individuals who are at greatest risk for opioid overdose.


Subject(s)
Analgesics, Opioid/therapeutic use , Drug Prescriptions/statistics & numerical data , Opiate Overdose/etiology , Adult , Aged , Female , Humans , Male , Middle Aged , Oregon , Proportional Hazards Models , Registries , Risk Factors
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