Colorectal Cancer Screening Among Individuals With a Substance Use Disorder: A Retrospective Cohort Study.

Introduction: There is limited evidence on colorectal cancer screening among individuals with a substance use disorder. This study aims to investigate the association between personal history of a substance use disorder and colorectal cancer colonoscopy screening completion rates. Methods: This retrospective cohort study analyzed 176,300 patients, of whom 171,973 had no substance use disorder and 4,327 had a substance use disorder diagnosis from electronic health record data (January 1, 2008-December 31, 2022) in a Midwestern healthcare system. Baseline was January 1, 2013, and a 10-year follow-up period ran through December 31, 2022. The outcome was receipt of colonoscopy in the 10-year follow-up period. Patients were aged 50-65 years at baseline, meaning that they were eligible for a colonoscopy through the entirety of the 10-year follow-up period. Covariates included demographics (age, race, and neighborhood SES), health services utilization, psychiatric and physical comorbidities, and prior colonoscopy or fecal occult blood testing. Entropy balancing was used to control for confounding in weighted log-binomial models calculating RR and 95% CIs. Results: Patients were on average aged 57.1 (±4.5) years, 58.2% were female, 81.0% were White, and 16.9% were of Black race. The most prevalent comorbidities were obesity (29.6%) and hypertension (29.4%), followed by smoking/nicotine dependence (21.0%). The most prevalent psychiatric comorbidity was depression (6.4%), followed by anxiety disorder (4.5%). During the 10-year follow-up period, 40.3% of eligible patients completed a colorectal cancer colonoscopy screening test, and individuals with a substance use disorder diagnosis were significantly less likely to receive a colorectal cancer colonoscopy screening test both prior to and after controlling for confounding (RR=0.73; 95% CI=0.70, 0.77 and RR=0.81; 95% CI=0.74, 0.89, respectively). Results were not modified by sex, race, psychiatric comorbidity, or neighborhood SES. Conclusions: Personal history of substance use disorder was independently associated with lower screening completion rates. Healthcare professionals should recognize unique barriers among individuals with substance use disorder and then address them individually as a multidisciplinary team in the outpatient setting to reduce this health disparity.

Characteristics of patients with non-cancer pain and long-term prescription opioid use who have used medical versus recreational marijuana.

OBJECTIVE: Marijuana use is increasingly common among patients with chronic non-cancer pain (CNCP) and long-term opioid therapy (LTOT). We determined if lifetime recreational and medical marijuana use were associated with more frequent and higher dose prescription opioid use. DESIGN: Cross-sectional SUBJECTS: Eligible patients (n=1,037), who had a new period of prescription opioid use lasting 30-90 days, were recruited from two midwestern health care systems to a study of long-term prescription opioid use and mental health outcomes. The present cross-sectional analyses uses baseline data from this on-going cohort study. METHODS: Primary exposures were participant reported lifetime recreational and medical marijuana use versus no lifetime marijuana use. Prescription opioid characteristics included daily versus non-daily opioid use and ≥50 morphine milligram equivalent (MME) dose per day vs. <50 MME. Multivariate, logistic regression models estimated the association between lifetime recreational and medical marijuana use vs. no use and odds of daily and higher dose prescription opioid use, before and after adjusting for confounding. RESULTS: The sample was an average of 54.9 (SD±11.3) years of age, 57.3% identified as female gender, 75.2% identified as White, and 22.5% identified as Black race. Among all participants, 44.4% were never marijuana users, 21.3% were recreational only, 7.7% medical only and 26.6% were both recreational and medical marijuana users. After controlling for all confounders, lifetime recreational marijuana use, as compared to no use, was significantly associated with increased odds of daily prescription opioid use (OR=1.61; 95%CI:1.02-2.54). There was no association between lifetime recreational or medical marijuana use and daily opioid dose. CONCLUSION: Lifetime medical marijuana use is not linked to current opioid dose, but lifetime recreational use is associated with more than a 60% odds of being a daily prescription opioid user. Screening for lifetime recreational marijuana use may identify patients with chronic pain who are vulnerable to daily opioid use which increases risk for adverse opioid outcomes. Prospective data is needed to determine how marijuana use influences the course of LTOT and vice versa.

Baseline Characteristics From a New Longitudinal Cohort of Patients With Noncancer Pain and Chronic Opioid Use in the United States.

Retrospective cohort studies have consistently observed that long-term prescription opioid use is a risk factor for new major depressive episodes. However, prospective studies are needed to confirm these findings and establish evidence for causation. The Prescription Opioids and Depression Pathways cohort study is designed for this purpose. The present report describes the baseline sample and associations between participant characteristics and odds of daily versus nondaily opioid use. Second, we report associations between participant characteristics and odds of depression, dysthymia, anhedonia, and vital exhaustion. Patients with noncancer pain were eligible if they started a new period of prescription opioid use lasting 30 to 90 days. Participants were 54.8 (standard deviation ± 11.3) years of age, 57.3% female and 73% White race. Less than college education was more common among daily versus nondaily opioid users (32.4% vs 27.3%; P = .0008), as was back pain (64.2% vs 51.3%; P < .0001), any nonopioid substance use disorder (12.8% vs 4.8%; P < .0001), and current smoking (30.7% vs 18.4% P < .0001). High pain interference (50.9% vs 28.4%; P < .0001) was significantly associated with depression, as was having more pain sites (6.9 ± 3.6 vs 5.7 ± 3.6; P < .0001), and benzodiazepine comedication (38.2% vs 23.4%; P < .0001). High pain interference was significantly more common among those with anhedonia (46.8% vs 27.4%; P < .0001), and more pain sites (7.0 ± 3.7 vs 5.6 ± 3.6; P < .0001) were associated with anhedonia. Having more pain sites (7.9 ± 3.6 vs 5.5 ± 3.50; P < .0001) was associated with vital exhaustion, as was back pain (71.9% vs 56.8%; P = .0001) and benzodiazepine comedication (42.8% vs 22.8%; P < .0001). Patients using prescription opioids for noncancer pain have complex pain, psychiatric, and substance use disorder comorbidities. Longitudinal data will reveal whether long-term opioid therapy leads to depression or other mood disturbances such as anhedonia and vital exhaustion. PERSPECTIVE: This study reports baseline characteristics of a new prospective, noncancer pain cohort study. Risk factors for adverse opioid outcomes were most common in those with depression and vital exhaustion and less common in dysthymia and anhedonia. Baseline data highlight the complexity of patients receiving long-term opioid therapy for noncancer pain.

Factors Associated With Interest in Engaging in Psychological Interventions for Pain Management.

OBJECTIVE: Engagement in evidence-based psychological interventions for pain management is low. Identifying characteristics associated with interest in interventions can inform approaches to increase uptake and engagement. The purpose of this study was to examine factors associated with interest in psychological interventions among persons with chronic noncancer pain receiving prescription opioids. METHODS: Participants with chronic noncancer pain and a new 30 to 90 day opioid prescription were recruited from 2 health systems. Participants (N=845) completed measures regarding pain, opioid use, psychiatric symptoms, emotional support, and interest in psychological interventions for pain management. RESULTS: There were 245 (29.0%) participants who reported a high interest in psychological interventions for pain management. In bivariate analyses, variables associated with interest included younger age, female sex, greater pain severity, greater pain interference, greater number of pain sites, lower emotional support, depression, anxiety, and post-traumatic stress disorder ( P <0.05). In a multivariate model, greater pain severity (odds ratio [OR]=1.17; CI: 1.04-1.32), depression (OR=2.10; CI: 1.39-3.16), post-traumatic stress disorder (OR=1.85; CI: 1.19-2.95), and lower emotional support (OR=0.69; CI: 0.5-0.97) remained statistically significant. DISCUSSION: The rate of interest in psychological interventions for pain management was low, which may indicate that patients initiating opioid treatment of chronic noncancer pain have low interest in psychological interventions. Greater pain severity and psychiatric distress were related to interest, and patients with these characteristics may especially benefit from psychological interventions. Providers may want to refer to psychological interventions before or when opioids are initiated. Additional work is needed to determine whether this would reduce long-term opioid use.

Severity of posttraumatic stress disorder, type 2 diabetes outcomes and all-cause mortality: A retrospective cohort study.

BACKGROUND: Some evidence suggests patients with comorbid PTSD and type 2 diabetes (T2D) have worse T2D outcomes than those with T2D alone. However, there is no evidence regarding PTSD severity and risk for starting insulin, hyperglycemia, microvascular complications, and all-cause mortality. METHODS: In this retrospective cohort study, Veterans Health Affairs (VHA) medical record data from fiscal year (FY) 2012 to FY2022 were used to identify eligible patients (n = 23,161) who had a PTSD diagnosis, ≥1 PTSD Checklist score, controlled T2D (HbA1c ≤ 7.5) without microvascular complications at baseline. PTSD Checklist for DSM-5 (PCL-5) scores defined mild, moderate, and severe PTSD. Competing risk and survival models estimated the association between PTSD severity and T2D outcomes before and after controlling for confounding. RESULTS: Most (70%) patients were ≥ 50 years of age, 88% were male, 64.2% were of white race and 17.1% had mild, 67.4% moderate and 15.5% severe PTSD. After control for confounding, as compared to mild PTSD, moderate (HR = 1.05; 95% CI:1.01-1.11) and severe PTSD (HR = 1.15; 95%CI:1.07-1.23) were significantly associated with increased risk for microvascular complication. Hyperarousal was associated with a 42% lower risk of starting insulin. Negative mood was associated with a 16% increased risk for any microvascular complication. Severe PTSD was associated with a lower risk for all-cause mortality (HR = 0.76; 95%CI:0.63-0.91). CONCLUSIONS: Patients with comorbid PTSD and T2D have an increased risk for microvascular complications. However, they have lower mortality risk perhaps due to more health care use and earlier chronic disease detection. PTSD screening among patients with T2D may be warranted.

Differences Between General Internal Medicine and Family Medicine Physicians' Initiation of Pre-Exposure Prophylaxis.

OBJECTIVE: Preexposure Prophylaxis (PrEP) is under-utilized in primary care. Given differences in treatment approaches for other conditions between family medicine (FM) and general internal medicine (GIM), this study compared PrEP-prescribing between FM and GIM physicians. METHODS: De-identified electronic health record data from a multi-state health care system was used in this retrospective observational study. The time period from 1/1/13 to 9/30/21 was used to identify PrEP eligible patients using measures of current sexually transmitted disease and condomless sex at the time of eligibility. Receipt of PrEP was measured in the 12 months after PrEP eligibility. The odds of receiving PrEP in GIM as compared to FM was computed before and after adjusting for demographics and physical and psychiatric comorbidities. RESULTS: The majority of eligible patients were 18 to 39 years of age, 60.9% were female and 71.6% were White race. Among PrEP eligible patients, 1.1% received PrEP in the first year after index date. Receiving PrEP was significantly more likely among patients treated in GIM versus FM (OR = 2.30; 95% CI:1.63-3.25). After adjusting for covariates, this association remained statistically significant (OR = 2.02; 95% CI:1.41-2.89). CONCLUSIONS: PrEP is grossly under-utilized in primary care. The majority of Americans enter the health care system through primary care and not through HIV providers or other specialties. Therefore, educational interventions are needed to increase confidence and knowledge and to encourage PrEP prescribing by FM and GIM physicians.

Validating opioid use disorder diagnoses in administrative data: a commentary on existing evidence and future directions.

BACKGROUND: A valid opioid use disorder (OUD) identification algorithm for use in administrative medical record data would enhance investigators' ability to study consequences of OUD, OUD treatment seeking and treatment outcomes. MAIN BODY: Existing studies indicate ICD-9 and ICD-10 codes for opioid abuse and dependence do not accurately measure OUD. However, critical appraisal of existing literature suggests alternative validation methods would improve the validity of OUD identification algorithms in administrative data. Chart abstraction may not be sufficient to validate OUD, and primary data collection via structured diagnostic interviews might be an ideal gold standard. CONCLUSION AND COMMENTARY: Generating valid OUD identification algorithms is critical for OUD research and quality measurement in real world health care settings.

Anxiety disorders, benzodiazepine prescription, and incident dementia.

BACKGROUND: Prescribing benzodiazepines to older patients is controversial. Anxiety disorders and benzodiazepines have been associated with dementia, but literature is inconsistent. It is unknown if anxiety treated with a benzodiazepine, compared to anxiety disorder alone is associated with dementia risk. METHODS: A retrospective cohort study (n = 72,496) was conducted using electronic health data from 2014 to 2021. Entropy balancing controlled for bias by indication and other confounding factors. PARTICIPANTS: Eligible patients were ≥65 years old, had clinic encounters before and after index date and were free of dementia for 2 years prior to index date. Of the 72,496 eligible patients, 85.6% were White and 59.9% were female. Mean age was 74.1 (SD ± 7.1) years. EXPOSURE: Anxiety disorder was a composite of generalized anxiety disorder, anxiety not otherwise specified, panic disorder, and social phobia. Sustained benzodiazepine use was defined as at least two separate prescription orders in any 6-month period. MAIN OUTCOME AND MEASURES: ICD-9 or ICD-10 dementia diagnoses. RESULTS: Six percent of eligible patients had an anxiety diagnosis and 3.6% received sustained benzodiazepine prescriptions. There were 6640 (9.2%) incident dementia events. After controlling for confounders, both sustained benzodiazepine use (HR 1.28, 95% CI: 1.11-1.47) and a diagnosis of anxiety (HR 1.19, 95% CI: 1.06-1.33) were associated with incident dementia in patients aged 65-75. Anxiety disorder with sustained benzodiazepine, compared to anxiety disorder alone, was not associated with incident dementia (HR 1.18, 95% CI: 0.92-1.51) after controlling for confounding. Results were not significant when limiting the sample to those ≥75 years of age. CONCLUSIONS: Benzodiazepines and anxiety disorders are associated with increased risk for dementia. In patients with anxiety disorders, benzodiazepines were not associated with additional dementia risk. Further research is warranted to determine if benzodiazepines are associated with a reduced or increased risk for dementia compared to other anxiolytic medications in patients with anxiety disorders.

Erectile dysfunction associated with undiagnosed prediabetes and type 2 diabetes in young adult males: A retrospective cohort study.

Erectile dysfunction (ED) is a common comorbidity in type 2 diabetes (T2D). ED has been studied as an outcome in diabetes, but it is not known if ED is a risk factor for T2D. We determined if patients with ED have an increased risk for prediabetes and/or T2D and measured the duration between ED and prediabetes/T2D diagnosis. Retrospective cohort study using de-identified medical record data from a large mid-western health care system to measure ED, T2D and potential confounding factors. Patients were 18 to 40 years of age because we were interested in early onset pre-diabetes/T2D. Eligible patients had ED and were free of prediabetes, hyperglycemia and T2D at index. Entropy balancing controlled for confounding. Modified Poisson regression models with robust error variances calculated relative risk (RR) and 95% confidence intervals for the association of ED and pre-diabetes/T2D. Patients' mean age was 28.3 (±7.0) years, 81.7% were White and 14.0% were Black. After controlling for confounding, ED was associated with increased risk for prediabetes/T2D (RR = 1.34; 95%CI:1.16-1.55). This association was similar to that between ED and T2D alone (RR = 1.38; 95% CI: 1.10-1.74). About 30% had ED and prediabetes/T2D diagnosed on the same day and nearly 75% were diagnosed within a year of ED. ED is a marker for undiagnosed prediabetes/T2D and a risk factor for near term onset of prediabetes/T2D. ED may offer the opportunity for earlier detection and diagnoses of T2D, particularly in younger men. Younger patients presenting with ED should be screened for hyperglycemia.

Lower risk for COVID-19 hospitalization among patients in the United States with past vaccinations for herpes zoster and tetanus, diphtheria and pertussis.

Influenza, tetanus, diphtheria, and herpes zoster (HZ) vaccination received within 10 years of the COVID-19 pandemic have been associated with less severe COVID-19 infection. We expanded on this evidence to determine if a receiving two different vaccinations (i.e., HZ and tetanus, diphtheria, and pertussis (Tdap)) was associated with a lower risk for COVID-19 hospitalization. De-identified medical record data from a large mid-western health care system was used to determine if, compared to those with neither HZ or Tdap vaccination, patients with either HZ or Tdap and patients with both HZ and Tdap vaccination had lower risk for COVID-19 hospitalization between 4/1/2020 and 12/31/2020. Confounding was controlled using entropy balancing. Patients (n = 363,293) were 71.5 (±8.4) years of age, 57.8% female and 89.2% White race. Prior to controlling for confounding, as compared to patients without either vaccination, those that had either HZ or Tdap were significantly less likely to have a COVID-19 hospitalization (RR = 0.85; 95 %CI: 0.75-0.95). The risk for hospitalization decreased further among those with both HZ and Tdap vaccination (RR = 0.45; 95 %CI:0.28-0.71). After controlling for confounding, including healthy patient bias, receiving both vs. neither vaccinations remained significantly associated with a lower risk of COVID-19 hospitalization (RR = 0.48; 95 %CI: 0.26-0.90). Receiving both Tdap and HZ vaccination is associated with lower risk for COVID-19 hospitalization. Whether there is any benefit of past vaccination exposure in COVID-19 vaccinated patients should be investigated.

Predicting opioid use disorder before and after the opioid prescribing peak in the United States: A machine learning tool using electronic healthcare records.

Existing predictive models of opioid use disorder (OUD) may change as the rate of opioid prescribing decreases. Using Veterans Administration's EHR data, we developed machine-learning predictive models of new OUD diagnoses and ranked the importance of patient features based on their ability to predict a new OUD diagnosis in 2000-2012 and 2013-2021. Using patient characteristics, the three separate machine learning techniques were comparable in predicting OUD, achieving an accuracy of >80%. Using the random forest classifier, opioid prescription features such as early refills and length of prescription consistently ranked among the top five factors that predict new OUD. Younger age was positively associated with new OUD, and older age inversely associated with new OUD. Age stratification revealed prior substance abuse and alcohol dependency as more impactful in predicting OUD for younger patients. There was no significant difference in the set of factors associated with new OUD in 2000-2012 compared to 2013-2021. Characteristics of opioid prescriptions are the most impactful variables that predict new OUD both before and after the peak in opioid prescribing rates. Predictive models should be tailored to age groups. Further research is warranted to determine if machine learning models perform better when tailored to other patient subgroups.

Temporal Location of Changes in the US Suicide Rate by Age, Ethnicity, and Race: A Joinpoint Analysis 1999-2020.

ABSTRACT: Suicide rates differ over time. Our objective was to determine when significant changes occurred by age, race, and ethnicity in the United States between 1999 and 2020. National Center for Health Statistics WONDER data were used in joinpoint regression. The annual percent change in suicide rate increased for all race, ethnic, and age groups, except for those 65 years and older. For American Indian/Alaska Natives, the largest increase occurred between 2010 and 2020 for those with ages 25 to 34 years. For Asian/Pacific Islander, the largest increase occurred among those 15 to 24 years old between 2011 and 2016. For Black/African-Americans, the largest increases occurred between 2010 and 2020 among 15- to 34-year-olds. For Whites, the largest increase occurred between 2014 and 2017 among 15- to 24-year-olds. Between 2018 and 2020, suicide rates significantly declined among Whites 45 to 64 years of age. Among Hispanics, significant increases in suicide rate occurred between 2012 and 2020 among those with ages 15 to 44 years. Between 1999 and 2020, the contour of suicide burden varied by age groups, race, and ethnicity.

Achievement of glycemic control and antidepressant medication use in comorbid depression and type 2 diabetes.

BACKGROUND: Existing studies designed to determine if depression treatment in patients with type 2 diabetes (T2D) is associated with improved glycemic control have produced inconsistent results. The present study investigated the link between acute phase antidepressant medication treatment and achievement of glycemic control in patients with T2D using nationally distributed electronic health record data. METHODS: A retrospective cohort study (n = 7332) was conducted using nationally distributed Optum® de-identified electronic health record data from 2010 to 2018. Eligible patients were 18-64 years old and had T2D, depression, and poor glycemic control. Antidepressant medication treatment was categorized into acute phase treatment (≥12 weeks), less than acute phase (<12 weeks) or no treatment. Glycemic control was defined as HbA1c < 7.0 % (53 mmol/mol). Propensity scores (PS) and inverse probability of treatment weighting (IPTW) controlled for confounding. Extended Cox models measured the association between duration of antidepressant medication treatment and glycemic control at 0 to 36 months, 36 to 72 months and ≥72 months. RESULTS: After controlling for confounding, compared to no treatment, acute phase treatment was significantly associated with achieving glycemic control within 36 months (HR 1.17, 95 % CI 1.02-1.34). No association was observed beyond 36 months. There was no association between acute vs. less than acute phase treatment and glycemic control. LIMITATIONS: We were unable to measure decreased depression severity which could contribute to glycemic control. CONCLUSIONS: For patients with T2D and hyperglycemia, acute phase antidepressant medication may enable glycemic control. Further research is needed to establish mechanisms for this association.

A Preliminary Study of Stress, Mental Health, and Pain Related to the COVID-19 Pandemic and Odds of Persistent Prescription Opioid Use.

BACKGROUND: The COVID-19 pandemic has been associated with increased opioid prescribing. It is not known if perceived COVID-19 related stress is associated with increased odds of long-term opioid use. OBJECTIVE: To determine if greater COVID-19-related stress and worsening pain attributed to the pandemic was associated with LTOT over a 6-month observation period. DESIGN: Longitudinal cohort. PARTICIPANTS: Patients (n=477) from two midwestern health care systems, with any acute or chronic non-cancer pain, starting a new period of 30-90-day prescription opioid use, were invited to participate in the Prescription Opioids and Depression Pathways Cohort Study, a longitudinal survey study of pain, opioid use, and mental health outcomes. MAIN MEASURES: Baseline and 6-month follow-up assessments were used to measure the association between perceived COVID-19 stressors, the perception that pain was made worse by the pandemic and the odds of persistent opioid use, i.e., remaining a prescription opioid user at 6-month follow-up. Multivariate models controlled for demographics, opioid dose, and change in pain characteristics, mental health measures, and social support. KEY RESULTS: Participants were, on average, 53.9 (±11.4) years of age, 67.1% White race, and 70.9% female. The most frequently endorsed COVID-19 stressor was "worry about health of self/others" (85.7% endorsed) and the least endorsed was "worsened pain due to pandemic" (26.2%). After adjusting for all covariates, "worsened pain due to pandemic" (OR=2.88; 95%CI: 1.33-6.22), change in pain interference (OR=1.20; 95%CI: 1.04-1.38), and change in vital exhaustion (OR=0.90; 95%CI: 0.82-0.99) remained significantly associated with persistent opioid use. CONCLUSIONS: Patients who attribute worsening pain to the COVID-19 pandemic are more likely to be persistent opioid users. Further research is warranted to identify mechanisms underlying this association. Clinicians may consider discussing pain in the context of the pandemic to identify patients at high risk for persistent opioid use.

The Affordable Care Act and suicide incidence among adults with cancer.

BACKGROUND: Patients with cancer are at an increased suicide risk, and socioeconomic deprivation may further exacerbate that risk. The Affordable Care Act (ACA) expanded insurance coverage options for low-income individuals and mandated coverage of mental health care. Our objective was to quantify associations of the ACA with suicide incidence among patients with cancer. METHODS: We identified US patients with cancer aged 18-74 years diagnosed with cancer from 2011 to 2016 from the Surveillance, Epidemiology, and End Results database. The primary outcome was the 1-year incidence of suicide based on cumulative incidence analyses. Difference-in-differences (DID) analyses compared changes in suicide incidence from 2011-2013 (pre-ACA) to 2014-2016 (post-ACA) in Medicaid expansion relative to non-expansion states. We conducted falsification tests with 65-74-year-old patients with cancer, who are Medicare-eligible and not expected to benefit from ACA provisions. RESULTS: We identified 1,263,717 patients with cancer, 812 of whom died by suicide. In DID analyses, there was no change in suicide incidence after 2014 in Medicaid expansion vs. non-expansion states for nonelderly (18-64 years) patients with cancer (p = .41), but there was a decrease in suicide incidence among young adults (18-39 years) (- 64.36 per 100,000, 95% CI = - 125.96 to - 2.76, p = .041). There were no ACA-associated changes in suicide incidence among 65-74-year-old patients with cancer. CONCLUSIONS: We found an ACA-associated decrease in the incidence of suicide for some nonelderly patients with cancer, particularly young adults in Medicaid expansion vs. non-expansion states. Expanding access to health care may decrease the risk of suicide among cancer survivors.

Demographic factors, psychiatric and physical comorbidities associated with starting preexposure prophylaxis in a nationally distributed cohort.

Due to a large number of small studies and limited control for confounding, existing evidence regarding patient characteristics associated with PrEP initiation is inconsistent. We used a large electronic health record cohort to determine which demographic, physical morbidity and psychiatric conditions are associated with PrEP initiation. Eligible adult (≥18 years) patients were selected from the Optum® de-identified Electronic Health Record dataset (2010-2018). Non-HIV sexually transmitted diseases and high risk sexual behavior was used to identify patients eligible for PrEP. A fully adjusted Poisson regression model estimated the association between age, gender, race, insurance status, comorbidity index, depression, anxiety, dysthymia, severe mental illness, substance use disorder and nicotine dependence/smoking and rate of PrEP initiation. The cohort (n = 30,909) was mostly under 40 years of age (64.3%), 67.6% were female and 58.2% were White. The cumulative incidence of PrEP initiation was 1.3% (n = 408). Patients ≥60 years of age, compared to 18-29 year olds and Black compared to White patients had significantly lower rates of PrEP initiation. Anxiety disorder was significantly associated with higher rate of PrEP initiation (RR = 1.67; 95%CI:1.20-2.33) and nicotine dependence/smoking with a lower rate (RR = 0.73; 95%CI:0.54-0.97). PrEP is underutilized, and a race disparity exists in PrEP initiation. In the context of existing research, nicotine dependence/smoking is the patient characteristic most consistently associated lower rates of starting PrEP. Given the high prevalence of smoking in PrEP eligible patients, physicians may want to integrate discussions of smoking cessation in patient-provider decisions to start PrEP.

Characteristics of Patients with Non-Cancer Pain and Perceived Severity of COVID-19 Related Stress.

Synopsis Patients with non-cancer pain reported increased pain and pain interference during the first months of the COVID-19 pandemic. We determined if pain, prescription opioid use, and comorbidities were associated with perceived COVID-19-related stress as the pandemic peaked. Analysis of survey data revealed that depression/anxiety, pain severity, and pain interference were most strongly and consistently associated with greater stress due to COVID-19 related changes in lifestyle, worsening of emotional/mental health and worsening pain. Identifying specific stressful experiences that most impacted patients with non-cancer pain may help target public health and treatment interventions. Background: During the first months of the COVID-19 pandemic, patients with chronic pain reported increased pain severity and interference. This study measured the association between pain, prescription opioid use, and comorbidities with perceived COVID-19-related stress as the pandemic peaked in the United States. Methods: From 9/2020 to 3/2021, the first 149 subjects from a prospective cohort study of non-cancer pain, completed a survey which contained the Complementary and Integrative Research (CAIR) Pandemic Impact Questionnaire (C-PIQ). Respondents also reported whether the pandemic has contributed to their pain or opioid use. Bivariate comparisons explored patient characteristics with each CAIR domain. Results: Respondents mean age was 54.6 (±11.3) years, 69.8% were female, 64.6% were White. Respondent characteristics were not associated with reading/watching/thinking about the pandemic or with worry about health. Depression/anxiety (p=0.003), using any prescription opioid in the prior three months (p=0.009), higher morphine milligram equivalent used (p=0.005), higher pain severity (p=0.011), and higher pain interference (p=0.0004) were all positively and significantly associated with moderate to severe stress due to COVID-19 related lifestyle changes. Depression/anxiety, pain severity, and pain interference were positively associated with COVID-19-related worsening emotional/mental health. Depression/anxiety were significantly (p<0.0001) associated with reporting that the pandemic made their pain worse. Conclusion: Depression, anxiety, pain severity, and pain interference were most strongly and consistently associated with COVID-19 changes in way of life, worsening of emotional/mental health, and worsening pain. Identifying specific stressful experiences that most impacted patients with noncancer pain may inform public health and treatment interventions.

Disparities Exist in Physical Therapy Utilization and Time to Utilization Between Black and White Patients With Musculoskeletal Pain.

OBJECTIVE: Black patients are less likely than White patients to receive physical therapy for musculoskeletal pain conditions. Current evidence, however, is limited to self-reported conditions and health services use. The purpose of this study was to use a large electronic health record database to determine whether a race disparity existed in use of physical therapy within 90 days of a new musculoskeletal diagnosis. METHODS: Eligible patients (n = 52,384) were sampled from an Optum deidentified electronic health record database of 5 million adults distributed throughout the United States. In this database, patients were designated as "Black" and "White." Patients were eligible if they had a new diagnosis for musculoskeletal neck, shoulder, back, or knee pain between January 1, 2012, and December 31, 2017. Logistic regression and Cox proportional hazard models were computed before and after adjusting for covariates to estimate the association between race and receipt of physical therapy services within 90 days of musculoskeletal pain diagnoses. RESULTS: Patients were on average 47.5 (SD = 14.9) years of age, 12.8% were Black, 87.2% were White, and 52.7% were female. Ten percent of Black patients and 15.5% of White patients received physical therapy services within 90 days of musculoskeletal pain diagnoses. After adjusting for covariates, White patients were 57% more likely (odds ratio = 1.57; 95% CI = 1.44-1.71) to receive physical therapy compared with Black patients and had significantly shorter time to physical therapy than Black patients (hazard ratio = 1.53; 95% CI = 1.42-1.66). CONCLUSIONS: In a nationally distributed cohort, Black patients were less likely than White patients to utilize physical therapy and had a longer time to utilization of physical therapy for musculoskeletal pain. IMPACT: These findings highlight the need to determine the mechanisms underlying the observed disparities and how these disparities influence health outcomes.