Introduction Osteoarthritis (OA) is a complex disease, and prior studies have documented the health and economic burdens of patients with OA compared to those without OA. Our goal was to use two strategies to further stratify OA patients based on both pain and treatment intensity to examine healthcare utilization and costs using electronic records from 2001 to 2018 at a large integrated health system. Methods Adult patients with ≥1 pain numerical rating scale (NRS) and diagnosis of OA were included. Pain episodes of ≥90 days were defined as mild (0–3), moderate (4–6), or severe (7–10) based on initial NRS. Patients were initially classified as mild and moved to moderate-severe OA if any of eight treatment-based criteria were met. Outpatient visits (OP), emergency department visits (ED), inpatient days, and healthcare costs (both all-cause and OA-specific) were compared among pain levels and OA severity levels as frequencies and per-member-per-year rates, using generalized linear regression models adjusting for age, sex, and body mass index, with contrasts of p < 0.05 considered significant. Results We identified 127,656 patients, 92,576 with pain scores. Moderate and severe pain were associated with significantly higher rates of OA-related utilization and costs, and all-cause ED visits and pharmacy costs. Moderate-severe OA patients had significantly higher OA-related utilization and costs, and all-cause OP, ED and pharmacy costs. Conclusions Pain and treatment intensity were both strongly associated with OA-related utilization but not consistently with all-cause utilization. Our results provide promising evidence of better criteria and approaches for predicting disease burden and costs in the future. Supplementary Information The online version contains supplementary material available at 10.1007/s40744-022-00448-7.

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ObjectivesAs understanding of the pathogenesis and treatment strategies for osteoarthritis (OA) evolves, it is important to understand how patient factors are also changing. Our goal was to examine demographics and known risk factors of patients with OA over time.DesignOpen-cohort retrospective study using electronic health records.SettingLarge US integrated health system with 7 hospitals, 2.6 million outpatient clinic visits and 97 300 hospital admissions annually in a mostly rural geographic region.ParticipantsAdult patients with at least two encounters and a diagnosis of OA or OA-relevant surgery between 2001 and 2018. Because of geographic region, over 96% of participants were white/Caucasian.InterventionsNone.Primary and secondary outcome measuresDescriptive statistics were used to examine age, sex, body mass index (BMI), Charlson Comorbidity Index, major comorbidities and OA-relevant prescribing over time.ResultsWe identified 290 897 patients with OA. Prevalence of OA increased significantly from 6.7% to 33.5% and incidence increased 37% (from 3772 to 5142 new cases per 100 000 patients per year) (p<0.0001). Percentage of females declined from 65.3% to 60.8%, and percentage of patients with OA in the youngest age bracket (18–45 years) increased significantly (6.2% to 22.7%, p<0.0001). The percentage of patients with OA with BMI ≥30 remained above 50% over the time period. Patients had low comorbidity overall, but anxiety, depression and gastro-oesophageal reflux disease showed the largest increases in prevalence. Opioid use (tramadol and non-tramadol) showed peaks followed by declines, while most other medications increased slightly in use or remained steady.ConclusionsWe observe increasing OA prevalence and a greater proportion of younger patients over time. With better understanding of how characteristics of patients with OA are changing over time, we can develop better approaches for managing disease burden in the future.

Background:Osteoarthritis (OA) is a common disease that varies in severity among patients. A standardized definition to classify patients into different severity levels is lacking, however, due to the disease’s complex pathogenesis and presentation. Prior studies have shown associations between pain severity and higher healthcare resource utilization (HRU) and costs. We investigated an association between pain severity and higher healthcare resource utilization by examining the use of specific OA-related treatments across pain intensity levels in a large, integrated health system’s OA population over an 18-year period.Objectives:Our aim was to compare use of medications and other treatments among OA patients experiencing mild, moderate, or severe pain.Methods:This was a retrospective study of electronic health records from 2001 to 2018 at Geisinger, an integrated health system in Pennsylvania. Patients were included with a diagnosis code for OA (ICD-9: 715.*, ICD-10 M15-19) on a problem list or encounter or an OA-specific procedure (hip or knee replacement, arthroscopy or injection). We examined pain scores (0-10 scale, with 10 being worst pain) taken after the first OA diagnosis date and defined pain episodes starting on the pain score’s date and lasting for 90 days. If a new pain score was measured before 90 days elapsed, the episode was extended for an additional 90 days, with this process repeated as necessary. Each episode was categorized as mild (pain score 0-3), moderate (4-6), or severe (7-10) based on initial score, and patients could contribute multiple episodes to the analysis. Descriptive statistics were used to quantify treatment utilization during each patients’ mild, moderate and severe episodes. Percentages of patients who had any use of 10 medication types (tramadol, non-tramadol opioids, nonsteroidal anti-inflammatory drugs (NSAIDs), injectable corticosteroids, acetaminophen, salicylates, duloxetine, homeopathic medications, other topical medications, and other over-the-counter (OTC) medications were compared across pain episode types. Percentages of patients with knee or hip surgeries, spine or joint imaging procedures (x-ray, computed tomography or magnetic resonance) and consults to OA-related care (pain management, orthopedics or physical medicine and rehabilitation) were also compared. All analyses used logistic regression with p-values <0.05 considered significant.Results:We identified 290,897 patients with OA, representing 34% of the health system population in 2018; 58% were female with mean age of 49 years and mean BMI of 30.5 kg/m2. A total of 801,144 pain episodes were defined, with 75% of patients having at least one pain score. The two most frequently occurring pain scores were 0 (17%) and 5 (13%), and pain episodes were classified as 43% mild, 32% moderate and 25% severe. Significantly higher percentages of patients used certain medication types (NSAIDs, injectable corticosteroids, non-tramadol opioid, duloxetine) in both moderate and severe pain episodes as compared to mild episodes, but other medication types were less likely to be used as pain severity increased (acetaminophen, salicylates, homeopathic medications, other OTC medications). Knee or hip surgeries, imaging, and consults to OA-related specialists were all consistently significantly more likely to occur in patients during moderate or severe pain episodes versus mild episodes (relative risk ratios of 1.76, 1.25 and 1.35 for moderate vs mild, respectively, and 2.00, 1.44 and 1.46 for severe vs mild, all p-values <0.05).Conclusion:While pain is generally recognized to be a subjective measure that could be influenced by other unmeasured factors and can be confounded with treatment effectiveness, it is nevertheless the primary symptom of OA. It is important to understand the relationship between pain intensity and treatment utilization, and our results support an overall association between pain and utilization but provide new details on the extent to which it depends on specific utilization type.Acknowledgements:Pfizer and Eli Lilly and Company for sponsoring this study.Disclosure of Interests:Jove Graham Grant/research support from: I am an employee of Geisinger which received financial support from Pfizer and Eli Lilly and Company in connection with the development of this abstract, Tonia Novosat Grant/research support from: I am an employee of Geisinger which received financial support from Pfizer and Eli Lilly and Company in connection with the development of this abstract, Haiyan Sun Grant/research support from: I am an employee of Geisinger which received financial support from Pfizer and Eli Lilly and Company in connection with the development of this abstract, Brian Piper Grant/research support from: I am an employee of Geisinger which received financial support from Pfizer and Eli Lilly and Company in connection with the development of this abstract, Joseph Boscarino Grant/research support from: I am an employee of Geisinger which received financial support from Pfizer and Eli Lilly and Company in connection with the development of this abstract, Vanessa Duboski Grant/research support from: I am an employee of Geisinger which received financial support from Pfizer and Eli Lilly and Company in connection with the development of this abstract, Melissa Kern Grant/research support from: I am an employee of Geisinger which received financial support from Pfizer and Eli Lilly and Company in connection with the development of this abstract, Eric Wright Grant/research support from: I am an employee of Geisinger which received financial support from Pfizer and Eli Lilly and Company in connection with the development of this abstract, Rebecca Robinson Shareholder of: Eli Lilly & Co., Employee of: Eli Lilly & Co., Edward Casey Shareholder of: Pfizer, Inc., Paid instructor for: As an employee of Pfizer, Inc. this is part of my role., Employee of: Pfizer, Inc., Craig Beck Shareholder of: Pfizer, Inc., Employee of: Pfizer, Inc., Jerry Hall Shareholder of: Eli Lilly & Co., Employee of: Eli Lilly & Co., Patricia Schepman Shareholder of: Pfizer, Inc., Employee of: Pfizer, Inc.

BackgroundOsteoarthritis (OA) is a complex disease, and prior studies have documented the health and economic burdens of patients with OA compared to those without OA. Our goal was to use two strategies to further stratify OA patients based on both pain and treatment intensity to examine healthcare utilization and costs using electronic records from 2001-2018 at a large integrated health system. Methods Adult patients with ≥1 pain numerical rating score (NRS) and diagnosis of OA were included. Pain episodes of ≥90 days were defined as mild (0-3), moderate (4-6) or severe (7-10) based on initial NRS. Patients were initially classified as mild and moved to moderate-severe OA if any of eight treatment-based criteria were met. Outpatient visits (OP), emergency department visits (ED), inpatient days, and healthcare costs (both all-cause and OA-specific) were compared among pain levels and OA severity levels as frequencies and per-member-per-year rates, using generalized linear regression models adjusting for age, sex and body mass index, with contrasts of p<0.05 considered significant. ResultsWe identified 127,656 patients, 92,576 with pain scores. Moderate and severe pain were associated with significantly higher rates of OA-related utilization and costs, and all-cause ED visits and pharmacy costs. Moderate-severe OA patients had significantly higher OA-related utilization and costs, and all-cause OP, ED and pharmacy costs. ConclusionsPain and treatment intensity were both strongly associated with OA-related resource utilization but not consistently with all-cause utilization. With better understanding of how OA patients intensify services, thus increasing costs, we can deploy targeted preventative strategies aimed at halting progression into more costly phases of the disease.