Cohort Identification Using Semantic Web Technologies: Triplestores as Engines for Complex Computable Phenotyping

ABSTRACTBackgroundComputable phenotypes are increasingly important tools for patient cohort identification. As part of a study of risk of chronic opioid use after surgery, we used a Resource Description Framework (RDF) triplestore as our computable phenotyping platform, hypothesizing that the unique affordances of triplestores may aid in making complex computable phenotypes more interoperable and reproducible than traditional relational database queries.To identify and model risk for new chronic opioid users post-surgery, we loaded several heterogeneous data sources into a Blazegraph triplestore: (1) electronic health record data; (2) claims data; (3) American Community Survey data; and (4) Centers for Disease Control Social Vulnerability Index, opioid prescription rate, and drug poisoning rate data. We then ran a series of queries to execute each of the rules in our “new chronic opioid user” phenotype definition to ultimately arrive at our qualifying cohort.ResultsOf the 4,163 patients in the denominator, our computable phenotype identified 248 patients as new chronic opioid users after their index surgical procedure. After validation against charts, 228 of the 248 were revealed to be true positive cases, giving our phenotype a PPV of 0.92.ConclusionWe successfully used the triplestore to execute the new chronic opioid user phenotype logic, and in doing so noted some advantages of the triplestore in terms of schemalessness, interoperability, and reproducibility. Future work will use the triplestore to create the planned risk model and leverage the additional links with ontologies, and ontological reasoning.

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Long-term postoperative opioid prescription after cholecystectomy or gastric by-pass surgery: a retrospective observational study

Scandinavian Journal of Pain ◽

10.1515/sjpain-2020-0150 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Viktoria Larsson ◽

Cecilia Nordenson ◽

Pontus Karling

Keyword(s):

Observational Study ◽

Postoperative Period ◽

Medical Records ◽

Early Postoperative Period ◽

Retrospective Observational Study ◽

Opioid Use ◽

Opioid Prescription ◽

Post Surgery ◽

Gastric By Pass

Abstract Objectives Opioids are commonly prescribed post-surgery. We investigated the proportion of patients who were prescribed any opioids 6–12 months after two common surgeries – laparoscopic cholecystectomy and gastric by-pass (GBP) surgery. A secondary aim was to examine risk factors prior to surgery associated with the prescription of any opioids after surgery. Methods We performed a retrospective observational study on data from medical records from patients who underwent cholecystectomy (n=297) or GBP (n=93) in 2018 in the Region of Västerbotten, Sweden. Data on prescriptions for opioids and other drugs were collected from the patients` medical records. Results There were 109 patients (28%) who were prescribed opioids after discharge from surgery but only 20 patients (5%) who still received opioid prescriptions 6–12 months after surgery. All 20 of these patients had also been prescribed opioids within three months before surgery, most commonly for back and joint pain. Only 1 out of 56 patients who were prescribed opioids preoperatively due to gallbladder pain still received prescriptions for opioids 6–12 months after surgery. Although opioid use in the early postoperative period was more common among patients who underwent cholecystectomy, the patients who underwent GBP were more prone to be “long-term” users of opioids. In the patients who were prescribed opioids within three months prior to surgery, 8 out of 13 patients who underwent GBP and 12 of the 96 patients who underwent cholecystectomy were still prescribed opioids 6–12 months after surgery (OR 11.2; 95% CI 3.1–39.9, p=0,0002). Affective disorders were common among “long-term” users of opioids and prior benzodiazepine and amitriptyline use were significantly associated with “long-term” opioid use. Conclusions The proportion of patients that used opioids 6–12 months after cholecystectomy or GBP was low. Patients with preoperative opioid-use experienced a significantly higher risk of “long-term” opioid use when undergoing GBP compared to cholecystectomy. The indication for being prescribed opioids in the “long-term” were mostly unrelated to surgery. No patient who was naïve to opioids prior surgery was prescribed opioids 6–12 months after surgery. Although opioids are commonly prescribed in the preoperative and in the early postoperative period to patients with gallbladder disease, there is a low risk that these prescriptions will lead to long-term opioid use. The reasons for being prescribed opioids in the long-term are often due to causes not related to surgery.

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The association between initial opioid type and long-term opioid use after hip fracture surgery in elderly opioid-naïve patients

Scandinavian Journal of Pain ◽

10.1515/sjpain-2019-0170 ◽

2020 ◽

Vol 20 (4) ◽

pp. 755-764

Author(s):

Amalie H. Simoni ◽

Lone Nikolajsen ◽

Anne E. Olesen ◽

Christian F. Christiansen ◽

Søren P. Johnsen ◽

...

Keyword(s):

Hip Fracture ◽

Pain Treatment ◽

Population Based ◽

Opioid Use ◽

Calendar Time ◽

Opioid Prescription ◽

Hip Fracture Surgery ◽

Opioid Users ◽

Fracture Surgery

AbstractObjectivesLong-term opioid use after hip fracture surgery has been demonstrated in previously opioid-naïve elderly patients. It is unknown if the opioid type redeemed after hip surgery is associated with long-term opioid use. The aim of this study was to examine the association between the opioid type redeemed within the first three months after hip fracture surgery and opioid use 3–12 months after the surgery.MethodsA nationwide population-based cohort study was conducted using data from Danish health registries (2005–2015). Previously opioid-naïve patients registered in the Danish Multidisciplinary Hip Fracture Registry, aged ≥65 years, who redeemed ≥1 opioid prescription within three months after the surgery, were included. Long-term opioid use was defined as ≥1 redeemed prescription within each of three three-month periods within the year after hip fracture surgery. The proportion with long-term opioid use after surgery, conditioned on nine-month survival, was calculated according to opioid types within three months after surgery. Adjusted odds ratios (aOR) for different opioid types were computed by logistic regression analyses with 95% confidence intervals (CI) using morphine as reference. Subgroup analyses were performed according to age, comorbidity and calendar time before and after 2010.ResultsThe study included 26,790 elderly, opioid-naïve patients with opioid use within three months after hip fracture surgery. Of these patients, 21% died within nine months after the surgery. Among the 21,255 patients alive nine months after surgery, 15% became long-term opioid users. Certain opioid types used within the first three months after surgery were associated with long-term opioid use compared to morphine (9%), including oxycodone (14%, aOR; 1.76, 95% CI 1.52–2.03), fentanyl (29%, aOR; 4.37, 95% CI 3.12–6.12), codeine (13%, aOR; 1.55, 95% CI 1.14–2.09), tramadol (13%, aOR; 1.56, 95% CI 1.35–1.80), buprenorphine (33%, aOR; 5.37, 95% CI 4.14–6.94), and >1 opioid type (27%, aOR; 3.83, 95% CI 3.31–4.44). The proportion of long-term opioid users decreased from 18% before 2010 to 13% after 2010.ConclusionsThe findings suggest that use of certain opioid types after hip fracture surgery is more associated with long-term opioid use than morphine and the proportion initiating long-term opioid use decreased after 2010. The findings suggest that some elderly, opioid-naïve patients appear to be presented with untreated pain conditions when seen in the hospital for a hip fracture surgery. Decisions regarding the opioid type prescribed after hospitalization for hip fracture surgery may be linked to different indication for pain treatment, emphasizing the likelihood of careful and conscientious opioid prescribing behavior.

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Pre-operative opioid use in gynecologic oncology: a common comorbidity relevant to the peri-operative period

International Journal of Gynecological Cancer ◽

10.1136/ijgc-2019-000508 ◽

2019 ◽

Vol 29 (9) ◽

pp. 1411-1416

Author(s):

Megan Elizabeth Ross ◽

Lindsay J Wheeler ◽

Dina M Flink ◽

Carolyn Lefkowits

Keyword(s):

Length Of Stay ◽

Gynecologic Oncology ◽

Oral Morphine ◽

Opioid Use ◽

Oncology Patients ◽

Opioid Prescription ◽

Operative Outcomes ◽

Operative Planning ◽

Opioid Users ◽

The Relationship

ObjectivesPre-operative opioid use is common and should be considered a comorbidity among surgical candidates. Our objective was to describe the rate of pre-operative opioid use and patterns of post-operative outpatient opioid prescribing in a cohort of gynecologic oncology patients.MethodsA retrospective cohort study was conducted with 448 gynecologic oncology surgical patients undergoing surgery for a suspected or known cancer diagnosis from January 2016 to December 2016. Pre-operative opioid users (n=97) were identified. Patient and surgical characteristics were abstracted, as was post-operative opioid prescription (type of opioid, oral morphine equivalents amount) and length of stay. For pre-operative opioid users, the type of opioid prescribed post-operatively was compared with the type of pre-operative opioid. Pre-operative opioid users were compared with non-users, stratified by surgery type. Descriptive statistics were analyzed using χ2 statistic, and medians were compared using a Mann-Whitney U statistic.ResultsPre-operative opioid prescriptions were noted in 21% of patients, and 24% of these had two or more opioid prescriptions before surgery. The majority of pre-operative opioid users (51%) were maintained on the same agent post-operatively at the time of discharge, but 36% were switched to a different opioid and 7% were prescribed an additional opioid. Overall and in laparotomies, pre-operative opioid users received higher volume post-operative prescriptions than non-users. There was no difference in post-operative prescription volume for minimally invasive surgeries or in length of stay between pre-operative users and non-users.ConclusionsPre-operative opioid use is common in gynecologic oncology patients and should be considered during pre-operative planning. Pre-operative opioid use was associated with a higher volume and wider range of post-operative prescription. Over 40% of opioid users were discharged with either an additional opioid or a new opioid, highlighting a potential missed opportunity to optimize opioid safety. Further research is needed to characterize the relationship between pre-operative opioid use and peri-operative outcomes and to develop strategies to manage pain effectively in this population without compromising opioid safety.

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Extensor Mechanism Ruptures and Reruptures: Perioperative Opioid Management

The Journal of Knee Surgery ◽

10.1055/s-0040-1713777 ◽

2020 ◽

Author(s):

Lafi S. Khalil ◽

Toufic R. Jildeh ◽

Najib Ussef ◽

Tahsin Rahman ◽

Erika Carter ◽

...

Keyword(s):

Patellar Tendon ◽

Significant Risk ◽

Quadriceps Tendon ◽

Significant Risk Factor ◽

Extensor Mechanism ◽

Opioid Use ◽

Opioid Prescription ◽

Opioid Medications ◽

Clinical Records ◽

Opioid Users

AbstractThe purpose of this study was to determine (1) the correlation between preoperative and postoperative opioid use and (2) risk factors associated with rerupture in patients undergoing open extensor mechanism repair. A retrospective review of patients who underwent operative repair of quadriceps or patellar tendon rupture was performed. Patients were classified as opioid nonusers if they had not received any opioid medications in the 3 months before surgery, or as acute users or chronic users if they received at least one opioid prescription within 1 month or 3 months preceding surgery. Clinical records were reviewed for postoperative opioid use within a year after surgery as well as rerupture rates. A total of 144 quadriceps tendon and 15 patellar tendon repairs were performed at a mean age of 56.8 ± 15.1 years and body mass index of 33.2 ± 7.1. The overall rerupture rate was 6%. Diabetes was a significant risk factor for rerupture (56 vs. 19%, p = 0.023). Chronic preoperative opioid users were more likely to continue to use opioids beyond 1 month postoperatively (p < 0.001) as compared with acute or nonopioid users. Chronic preoperative opioid users (relative risk [RR]: 3.53, 95% confidence interval [CI]: 2.11–5.90) and patients with longer anesthesia time (RR: 1.39, 95% CI: 1.00–1.93) required more monthly opioid refills, whereas tourniquet use required fewer opioid refills each month (RR: 0.57, 95% CI: 0.37–0.88). Compared with patients without a rerupture, each additional prescription refill after the initial repair in the rerupture group was associated with a 22% higher risk of tendon rerupture (RR: 1.22, 95% CI: 1.07–1.39). The chronicity of preoperative opioid intake was found to have a significant effect on postoperative opioid use. This study suggests that there is a higher prevalence of rerupture in patients with prolonged opioid use postoperatively and among diabetics.

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A Two-Year Prospective Multicenter Study of Opioid Therapy for Chronic Noncancer Pain: Prescription Trends and Predictors

Pain Medicine ◽

10.1093/pm/pny275 ◽

2018 ◽

Vol 20 (11) ◽

pp. 2166-2178 ◽

Cited By ~ 1

Author(s):

Dalila R Veiga ◽

Liliane Mendonça ◽

Rute Sampaio ◽

José M Castro-Lopes ◽

Luís F Azevedo

Keyword(s):

Chronic Pain ◽

Clinical Outcomes ◽

Opioid Therapy ◽

Opioid Use ◽

Opioid Prescription ◽

Chronic Noncancer Pain ◽

Noncancer Pain ◽

Opioid Users

Abstract Objectives Opioid use in chronic pain has increased worldwide in recent years. The aims of this study were to describe the trends and patterns of opioid therapy over two years of follow-up in a cohort of chronic noncancer pain (CNCP) patients and to assess predictors of long-term opioid use and clinical outcomes. Methods A prospective cohort study with two years of follow-up was undertaken in four multidisciplinary chronic pain clinics. Demographic data, pain characteristics, and opioid prescriptions were recorded at baseline, three, six, 12, and 24 months. Results Six hundred seventy-four CNCP patients were recruited. The prevalence of opioid prescriptions at baseline was 59.6% (N = 402), and 13% (N = 86) were strong opioid prescriptions. At 24 months, opioid prescription prevalence was as high as 74.3% (N = 501), and strong opioid prescription was 31% (N = 207). Most opioid users (71%, N = 479) maintained their prescription during the two years of follow-up. Our opioid discontinuation was very low (1%, N = 5). Opioid users reported higher severity and interference pain scores, both at baseline and after two years of follow-up. Opioid use was independently associated with continuous pain, pain location in the lower limbs, and higher pain interference scores. Conclusions This study describes a pattern of increasing opioid prescription in chronic pain patients. Despite the limited improvement of clinical outcomes, most patients keep their long-term opioid prescriptions. Our results underscore the need for changes in clinical practice and further research into the effectiveness and safety of chronic opioid therapy for CNPC.

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EPR19-069: Opioid Use Among Cancer Patients Undergoing Surgery and Their Associated Risk of Re-admissions and Emergency Department Visits in the 1-Year Postsurgical Period

Journal of the National Comprehensive Cancer Network ◽

10.6004/jnccn.2018.7231 ◽

2019 ◽

Vol 17 (3.5) ◽

pp. EPR19-069 ◽

Cited By ~ 1

Author(s):

Siyana Kurteva ◽

Robyn Tamblyn ◽

Ari Meguerditchian

Keyword(s):

Emergency Department ◽

Cancer Patients ◽

Healthcare System ◽

Emergency Department Visits ◽

Administrative Claims ◽

Opioid Use ◽

Opioid Prescription ◽

Ed Visits ◽

Opioid Users ◽

The Impact

Background: Prescription opioid use and overdose has steadily increased over the past years, resulting in a dramatic increase in opioid-related emergency department (ED) visits and hospitalizations. Methods: This study used a prospective cohort of cancer patients having undergone surgery in Montreal (Quebec) to describe their post-discharge opioid use and identify potential patterns of unplanned health service use (ED visits, hospitalizations). Provincial health administrative claims were used to measure opioid dispensation as well as hospital re-admissions and ED visits. The hospital warehouse, patient chart and patient interview will be used to further describe patient’s medical profile. Marginal structural models will be used to model the association between use of opioids and risk of ED visits and hospitalizations. Inverse probability of treatment and censoring weights will be constructed to properly adjust for confounders that may be unbalanced between the opioid and non–opioid users as well as to account for competing risk due to mortality. Reasons for the re-admissions will also be presented as part of the analyses. Covariates will include patient comorbidities, medication history, and healthcare system characteristics such as nurse-to-patient and attending physician-to-patient ratios. Results (interim): A total of 821 were included in the study; of these, 73% (n=597) were admitted for a cancer procedure. At postoperative discharge, 605 (74%) of patients had at least one opioid dispensation, of which the majority (67%) were oxycodone with hydromorphone being the second most prescribed (28%). Among those who filled a prescription, mean age was 66 (13.4), 68% had no previous history of opioid use, and 10% have had 3 or more dispensing pharmacies in the year prior to admission, compared to less than 1% for the non–opioid users. Overall, 343 people refilled their opioid prescription at least once and 128 at least twice during the 1-year postoperative period. Among cancer patients who were opioid users, 214 ED visits occurred in the 1 year after surgery compared to only 40 for the non-cancer opioid users. Conclusion: This study will help to identify the risk profile of cancer patients who are most likely to continue using opioids for prolonged periods following surgical procedures as well as quantify the impact of opioid use and its associated burden on the healthcare system in order to identify areas for possible interventions.

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Effect of Preoperative Opioid Use on Adverse Outcomes, Medical Spending, and Persistent Opioid Use Following Elective Total Joint Arthroplasty in the United States: A Large Retrospective Cohort Study of Administrative Claims Data

Pain Medicine ◽

10.1093/pm/pnz083 ◽

2019 ◽

Vol 21 (3) ◽

pp. 521-531 ◽

Cited By ~ 20

Author(s):

Meridith Blevins Peratikos ◽

Hannah L Weeks ◽

Andrew J B Pisansky ◽

R Jason Yong ◽

Elizabeth Ann Stringer

Keyword(s):

Length Of Stay ◽

Claims Data ◽

The United States ◽

Adverse Outcomes ◽

Unplanned Readmission ◽

Administrative Claims ◽

Opioid Use ◽

Opioid Prescription ◽

Opioid Dose ◽

Opioid Users

Abstract Objective Between 17% and 40% of patients undergoing elective arthroplasty are preoperative opioid users. This US study analyzed patients in this population to illustrate the relationship between preoperative opioid use and adverse surgical outcomes. Design Retrospective study of administrative medical and pharmaceutical claims data. Subjects Adults (aged 18+) who received elective total knee, hip, or shoulder replacement in 2014–2015. Methods A patient was a preoperative opioid user if opioid prescription fills occurred in two periods: 1–30 and 31–90 days presurgery. Zero-truncated Poisson (incidence rate ratio [IRR]), logistic (odds ratio [OR]), Cox (hazard ratio [HR]), and quantile regressions modeled the effects of preoperative opioid use and opioid dose, adjusted for demographics, comorbidities, and utilization. Results Among 34,792 patients (38% hip, 58% knee, 4% shoulder), 6,043 (17.4%) were preoperative opioid users with a median morphine equivalent daily dose of 32 mg. Preoperative opioid users had increased length of stay (IRR = 1.03, 95% CI = 1.02 to 1.05), nonhome discharge (OR = 1.10, 95% CI = 1.00 to 1.21), and 30-day unplanned readmission (OR = 1.43, 95% CI = 1.17 to 1.74); experienced 35% higher surgical site infection (HR = 1.35, 95% CI = 1.14 to 1.59) and 44% higher surgical revision (HR = 1.44, 95% CI = 1.21 to 1.71); had a median $1,084 (95% CI = $833 to $1334) increase in medical spend during the 365 days after discharge; and had a 64% lower rate of opioid cessation (HR = 0.34, 95% CI = 0.33 to 0.35) compared with patients not filling two or more prescriptions across periods. Conclusions Preoperative opioid users had longer length of stay, increased revision rates, higher spend, and persistent opioid use, which worsened with dose. Adverse outcomes after elective joint replacement may be reduced if preoperative opioid risk is managed through increased monitoring or opioid cessation.

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Association between initial opioid prescription diagnosis type and subsequent chronic prescription opioid use in Rhode Island: a population-based cohort study

BMJ Open ◽

10.1136/bmjopen-2021-050540 ◽

2022 ◽

Vol 12 (1) ◽

pp. e050540

Author(s):

Benjamin D Hallowell ◽

Laura C Chambers ◽

Luke Barre ◽

Nancy Diao ◽

Collette Onyejekwe ◽

...

Keyword(s):

Cohort Study ◽

Rhode Island ◽

Population Based ◽

Primary Outcome Measure ◽

Prescription Opioid ◽

Opioid Use ◽

Opioid Prescription ◽

Management Approaches ◽

Opioid Users ◽

Prescription Opioid Use

ObjectiveTo identify initial diagnoses associated with elevated risk of chronic prescription opioid use.DesignPopulation-based, retrospective cohort study.SettingState of Rhode Island.ParticipantsRhode Island residents with an initial opioid prescription dispensed between 1 April 2019 and 31 March 2020.Primary outcome measureSubsequent chronic prescription opioid use, defined as receiving 60 or more days’ supply of opioids in the 90 days following an initial opioid prescription.ResultsAmong the 87 055 patients with an initial opioid prescription, 3199 (3.7%) subsequently became chronic users. Patients who become chronic users tended to receive a longer days’ supply, greater quantity dispensed, but a lower morphine milligram equivalents on the initial opioid prescription. Patients prescribed an initial opioid prescription for diseases of the musculoskeletal system and connective tissue (adjusted OR (aOR): 5.9, 95% CI: 4.7 to 7.6), diseases of the nervous system (aOR: 6.3, 95% CI: 4.9 to 8.0) and neoplasms (aOR: 5.6, 95% CI: 4.2 to 7.5) had higher odds of subsequent chronic prescription opioid use, compared with a referent group that included all diagnosis types with fewer than 15 chronic opioid users, after adjusting for confounders.ConclusionsBy focusing interventions and prescribing guidelines on specific types of diagnoses that carry a high risk of chronic prescription opioid use and diagnoses that would benefit equally or more from alternative management approaches, states and healthcare organisations may more efficiently decrease inappropriate opioid prescribing while improving the quality of patient care.

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Implementation of a restrictive opioid prescription protocol after minimally invasive gynecologic oncology surgery

International Journal of Gynecological Cancer ◽

10.1136/ijgc-2021-002968 ◽

2021 ◽

pp. ijgc-2021-002968

Author(s):

Soyoun Rachel Kim ◽

Stephane Laframboise ◽

Gregg Nelson ◽

Stuart A McCluskey ◽

Lisa Avery ◽

...

Keyword(s):

Minimally Invasive ◽

Pain Control ◽

Gynecologic Oncology ◽

Cancer Center ◽

Provider Education ◽

Opioid Use ◽

Post Intervention ◽

Opioid Prescription ◽

Post Surgery ◽

The Impact

ObjectivesOpioids are routinely prescribed after minimally invasive gynecologic oncology surgery, with minimal data to inform the ideal dose. The aim of this study was to evaluate the impact of a restrictive opioid prescription protocol on the median morphine milligram equivalents prescribed and pain control in patients undergoing minimally invasive surgery.MethodsA restrictive opioid prescription protocol was implemented from January through December 2020 at a single tertiary cancer center in Ontario, Canada. Consecutive patients undergoing minimally invasive hysterectomy for suspected malignancy were included. Simultaneously, we implemented use of multimodal analgesia, patient and provider education, pre-printed standardized prescriptions, and tracking of opioid prescriptions. Total median morphine milligram equivalents prescribed were compared between pre- and post-intervention cohorts. Patients were surveyed regarding opioid use and pain control at 30 days post-surgery.ResultsA total of 101 women in the post-intervention cohort were compared with 92 consecutive pre-intervention controls. Following protocol implementation, median morphine milligram equivalents prescribed decreased from 50 (range 9–100) to 25 (range 8–75) (p<0.001). In the post-intervention cohort, 75% (76/101) used 10 median morphine milligram equivalents or less and 55 patients (54%) used 0 median morphine milligram equivalent. There was no additional increase in opioid refill requests after implementation of our strategy. Overall, patients reported a median pain score of 3/10 at 30 days post-surgery; the highest pain scores and most of the pain occurred in the first week after surgery.ConclusionsImplementation of a restrictive opioid prescription protocol led to a significant reduction in opioid use after minimally invasive gynecologic oncology surgery, with over 50% of patients requiring no opioids postoperatively.

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O18 National variation and factors associated with long-term opioid use for non-cancer pain in the first year of use

Rheumatology ◽

10.1093/rheumatology/keaa110.017 ◽

2020 ◽

Vol 59 (Supplement_2) ◽

Author(s):

Meghna Jani ◽

Belay Birlie-Yimer ◽

Therese Sheppard ◽

Mark Lunt ◽

William G Dixon

Keyword(s):

High Risk ◽

Case Mix ◽

First Year ◽

Opioid Use ◽

Opioid Prescription ◽

Factors Associated ◽

Opioid Prescribing ◽

Population Average ◽

Opioid Users

Abstract Background Physician prescribing behaviour has been described as a key driver of rising opioid prescriptions and long-term opioid use. However, the effect of prescribers requires interpretation within context. No studies have investigated the extent to which regions, practices, prescribers, vary in opioid prescribing by considering this hierarchy together, whilst accounting for case-mix. Objectives: (i)quantify and identify risk factors for the transition from new-users to long-term opioid users (ii) quantify variation of long-term use attributed to region, practice, prescriber, accounting for patient mix and chance variation. Methods We conducted a retrospective observational study between 2006-2017 using Clinical Practice Research Datalink. New users of opioids, ≥18 years, without cancer were identified. Long-term opioid use was defined as ≥ 3 opioid prescriptions within a 90-day period from index date, or ≥ 1 opioid prescription lasting at least 90-days in the first year. A multi-level random-effects logistic regression model was used to examine the association of patient characteristics with the odds of becoming a long-term opioid-user. To examine variation in opioid use among prescribers, GP-practices and region after adjusting for case-mix, we used a nested random-effect structure. A ‘high-risk’ region, prescriber or practice was defined as those where the entire adjusted 95% CI lay above population average. Results 1,968,742 new opioid users were included; 14.6% transitioned to long-term use. In the fully-adjusted model, factors associated with higher-odds of long-term use included high morphine-milligram equivalents (MME)/day at first prescription, older-age, deprivation, fibromyalgia, rheumatological conditions and prior surgery (Table 1). After adjustment for case-mix, the North-West, Yorkshire and South-West were found to be high-risk regions for long-term use. 103 practices (25.6%) and 540 prescribers (3.5%) were associated with a significantly higher risk of long-term use. The odds of becoming a long-term user for patients belonging to these prescribers reached up to > 3.5 times than the population average. Conclusion Prescribing factors, age, deprivation and conditions including fibromyalgia and rheumatological conditions were associated with higher odds of long-term opioid use. In the first UK study evaluating long-term opioid prescribing with patient-level characteristics adjustment, variation in regions, especially practices and prescribers were observed. Our findings support greater calls for action to reduce practice/prescriber variation by promoting safe practice in opioid-prescribing. Disclosures M. Jani: None. B. Birlie-Yimer: None. T. Sheppard: None. M. Lunt: None. W.G. Dixon: None.

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