Medication Use in Type 1 Diabetes and the Association with Socioeconomic Disadvantage: Analysis of a National Linked Dataset.

Introduction: Guidelines recommend specific classes of medications for secondary stroke prevention. In this analysis we are interested in whether the use of antiplatelet, anticoagulant, anti-hypertensive, and lipid lowering medications differs by race and region among participants who self-reported stroke or TIA in a national, general population sample. Methods: Data were derived from the REasons for Geographic And Racial Differences in Stroke (REGARDS) Study, a national cohort study of 30,239 black and white participants aged 45+ enrolled between 2003 and 2007 from the 48 contiguous states, with over-sampling in the southeast region known as the stroke belt and buckle.A centralized phone interview was used for medical history and in-home evaluation for medication inventory. All medications used in the previous two weeks were recorded and subsequently coded into drug classes. The dataset was restricted to those with self-reported stroke (1930) or TIA (1114) at baseline. Chi-square tests were used to determine racial and regional (non-belt, belt, buckle) differences in the use of each medication classification, though indication or contraindication for treatment is unknown. Separate univariate logistic regression models were fit to assess the association between each medication class and race and region. Incremental models (demographics, SES factors, health behaviors, and co-morbidities) were then fitted to determine the impact of adding groups of covariates on the associations. Odds ratios and 95% confidence intervals (CI) for the association between each of race and region, and each medication class, were computed. Results: The results from the univariate and fully-adjusted models are presented in Table 1. After multivariable adjustment, blacks were less likely than whites to report using antiplatelet and lipid-lowering medications, while the belt and buckle residents were more likely than non-belt residents to report antiplatelets. Table 1: Association between Medications and Race and Region, univariate and adjustment. (95% CI) Adjusted model includes demographics, SES, health behavior, and co-morbidities. Whites and non-belt region serve as reference for logistic regression models of race and region, respectively. Conclusions: These data indicate differential use of antiplatelet therapy by race and region, and lipid lowering therapy by race, in those self-reporting stroke/TIA, with differences in use of anticoagulant and antihypertensive medications accounted for by covariant adjustment. This suggests targeted interventions are needed following stroke/TIA.

BackgroundLow family socioeconomic position is a well-established determinant of poor health in youth. Much less is known about the social patterning of youth medication use, and the current evidence is...

BackgroundIt is unknown how use of newer glucose‐lowering drugs (GLDs) has changed in Australia following the publication of clinical trials demonstrating definitive clinical advantages for glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) and sodium‐glucose co‐transporter 2 inhibitors (SGLT2is), and whether this varies by socio‐economic disadvantage.MethodsWe included 1,064,645 people with type 2 diabetes registered on the National Diabetes Services Scheme. This cohort was linked to the Pharmaceutical Benefits Scheme database to evaluate trends in diabetes medication receipt and variation by socio‐economic disadvantage between 2013 and 2019.ResultsThe proportion of people with type 2 diabetes receiving ≥3 GLDs concurrently increased from 12% in 2013 to 25% in 2019. By 2019, 6% of people with diabetes were receiving a GLP‐1 RA and 21% an SGLT2i. Disparities in receipt of GLP‐1 RAs and SGLT2is by socio‐economic disadvantage decreased over time (ORs for most vs. least disadvantaged quintile were 0.80 [0.77–0.85] and 0.87 [0.82–0.94] in 2014 and 0.95 [0.92–0.98] and 1.07 [1.05–1.09] in 2019 for GLP‐1 RAs and SGLT2is, respectively). However, people in more disadvantaged areas were more likely to receive multiple GLDs. After stratifying by number of concurrent GLDs received, people in more disadvantaged areas were less likely to receive GLP‐1 RAs and SGLT2is in 2019 (ORs for most vs. least disadvantaged: 0.81 [0.78–0.84] and 0.90 [0.87–0.93] for people receiving ≥3 GLDs, respectively).ConclusionsAfter controlling for intensity of glucose‐lowering therapy, people in more disadvantaged areas were less likely to receive cardioprotective GLDs, although disparities decreased over time.

Background:Socioeconomic status (SES) influences disease outcomes in rheumatoid arthritis (RA) patients. (1, 2) Differences in medication use could partly explain this association. (3) A scoping review was used to identify research conducted on this topic and determine what knowledge gaps remain.Objectives:To determine what research has been conducted on this topic, how this research has defined SES and medication use, and establish what knowledge gaps remain.Methods:MEDLINE, EMBASE and PsychInfo were searched from their inception until May 2019 for studies which assessed SES and medication use as outcome variables. Studies were included if they measured medication use and incorporated an SES measure as a comparator variable.SES was defined using any of the “PROGRESS” framework variables (4) including patients’ stated gender, age, educational attainment, employment, occupational class, personal income, marital status, health insurance coverage, area- (neighbourhood) level SES, or patients’ stated race and/or ethnicity. Medication use was broadly defined as either prescription or dispensation of a medicine, medication adherence, or delays in treatment. Data was extracted on studies’ primary objectives, measurement of specific SES measures, patients’ medication use, and whether studies assessed for differences in patients’ medication use according to SES variables.Results:1464 studies were identified by this search from which 74 studies were selected for inclusion, including 52 published articles. Studies’ publication year ranged from 1994-2019, and originated from 20 countries; most commonly from the USA.Studies measured a median of 4 SES variables (IQR 3-6), with educational achievement, area level SES and race/ethnicity the most frequently recorded.Likelihood of disease modifying antirheumatic drug (DMARD) prescription was the most frequent primary objective recorded.96% of studies reported on patients’ use of DMARDs, with glucocorticoids and analgesics being reported in fewer studies (51% and 23% respectively.)Most included studies found at least one SES measure to be significantly associated with differences in patients’ medication use. In some studies, however, this result was not necessarily drawn from the primary outcome and therefore may not have been adjusted for covariates.70% of published studies measuring patients’ income (n=14 of 20) and 58% of those that measured race/ethnicity (n=14 of 24) documented significant differences in patients’ medication use according to these SES variables, although the direction of this effect – whether it led to ‘greater’ or ‘lesser’ medication use – varied between studies.Conclusion:Multiple definitions of SES are used in studies of medication use in RA patients. Despite this, most identified studies found evidence of a difference in medication use by patient groups that differed by an SES variable, although how medication use differed was found to vary between studies. This latter observation may relate to contextual factors pertaining to differences in countries’ healthcare systems. Further prospective studies with clearly defined SES and medication use measures may help confirm the apparent association between SES and differences in medication use.

There is conflicting evidence for gender differences in smoking cessation, and there has been little research on gender differences in smoking cessation medication (SCM) use and effectiveness. Using longitudinal data from the International Tobacco Control Four Country Surveys (ITC-4) conducted in the United Kingdom, the United States, Canada, and Australia, we examined gender differences in the incidence of quit attempts, reasons for quitting, use of SCMs, reasons for discontinuing use of SCMs, and rates of smoking cessation. Data were analyzed from adult smokers participating in the ITC-4, annual waves 2006-2011 (n = 7,825), as well as a subsample of smokers (n = 1,079) who made quit attempts within 2 months of survey. Adjusted modeling utilized generalized estimating equations. There were no gender differences in the likelihood of desire to quit, plans to quit, or quit attempts between survey waves. Among quit attempters, women had 31% lower odds of successfully quitting (OR = 0.69; 95% CI = 0.51, 0.94). Stratified by medication use, quit success was lower among women who did not use any SCMs (OR = 0.59; 95% CI = 0.39, 0.90), and it was no different from men when medications were used (OR = 0.73; 95% CI = 0.46, 1.16). In particular, self-selected use of nicotine patch and varenicline contributed to successful quitting among women. Women may have more difficulty quitting than men, and SCMs use may help attenuate this difference.

Patients with acute myocardial infarction (MI) and nonobstructive coronary artery disease (CAD) have an elevated cardiac event rate, suggesting that these patients may benefit from cardiac medication. We evaluated the rates of cardiac medication use 3 months before angiography and 3 months following clinically indicated angiography for MI in patients with no CAD, nonobstructive CAD, and obstructive CAD. We also examined the sex differences in cardiac medication use 3 months following angiography in patients by extent of angiographic CAD. We studied patients ≥20 years old with MI undergoing coronary angiography in British Columbia, Canada, from January 1, 2008, to March 31, 2010 (n = 3,841). No CAD, nonobstructive CAD, and obstructive CAD were defined as 0%, 1% to 49%, and ≥50% luminal narrowing in any epicardial coronary artery, respectively. Medication use, 3 months before and 3 months following angiography, was obtained through British Columbia PharmaNet for angiotensin-converting enzyme inhibitors (ACE-Is), angiotensin receptor blockers (ARBs), calcium channel blockers (CCBs), beta-blockers, statins, and antiplatelet agents. Optimal medical therapy (OMT) was defined as filled prescriptions for all three: ACE-Is/ARBs, beta-blockers, and statins. Following angiography, in all medication categories except CCBs, patients with no CAD and nonobstructive CAD had significantly lower rates of prescriptions filled than patients with obstructive CAD (all p < 0.001). After adjusting for age and prior medication use, patients with nonobstructive CAD were still less likely to receive these medications than patients with obstructive CAD, including OMT with an odds ratio = 0.25 (95% confidence interval: 0.18-0.36). There were no significant sex differences in medication use 3 months postangiography. In post-MI patients, medication use following angiography is significantly lower in nonobstructive CAD than obstructive CAD at 3 months. While sex was not an independent predictor of medication use 3 months post-catheterization, future studies should explore methods of improving medication use in both females and males with nonobstructive CAD post-MI.

Asthma is an important healthcare problem affecting millions in the United States. Additionally, a large proportion of patients with asthma suffer from obesity. These patients exhibit poor asthma control and reduced therapy response, increasing utilization of healthcare resources. Pulmonary symptoms improve after bariatric surgery (BS), and we hypothesized that asthma medication usage would decrease following BS. A retrospective data analysis was performed in adult patients from a single institution's database. Patients with obesity using at least one asthma medication pre-operatively who underwent BS were studied for up to 3-years post-operation. Poisson generalized linear mixed models for repeated measures were used to evaluate the effects of time and procedure type on the number of asthma medication. Bariatric patients with at least one prescribed asthma medication (mean 1.4 ± 0.6) were included (n = 751). The mean age at time of operation was 46.8 ± 11.6years, mean weight was 295.9 ± 57lbs, and mean body mass index (BMI) was 49 ± 8.2kg/m2; 87.7% were female, 33.4% had diabetes, 44.2% used gastroesophageal reflux disease (GERD) medication, and 64.4% used hypertension medication. The most common procedure was Roux-en-Y gastric bypass (79%), followed by sleeve gastrectomy (10.7%), adjustable gastric banding (8.1%), and duodenal switch (2.3%). The mean number of prescribed asthma medications among all procedures decreased by 27% at 30days post-operation (p < 0.0001), 37% at 6months (p < 0.0001), 44% at 1year (p < 0.0001), and 46% at 3years (p < 0.0001) after adjusting for risk factors. No significant differences in medication use over time between procedure types were observed. In the adjusted analysis, the mean number of asthma medications was 12% higher in patients using at least one GERD medication (p = 0.015) and 8% higher with 10-unit increase in pre-operative BMI (p = 0.006). BS significantly decreases asthma medication use starting 30days post-operation with a sustained reduction for up to 3years.

In recent years, several new medications for the treatment of type 2 diabetes have been released and some evidence indicates sociodemographic disparity in their utilisation. We sought to investigate sociodemographic disparities in receipt of diabetes medications across Australia. This study included 1,203,317 people with type 2 diabetes registered on the Australian National Diabetes Services Scheme (NDSS) followed from 2007 to 2015. The NDSS was linked to the Australian pharmaceutical claims database. We investigated trends in diabetes medication dispensing and variation in dispensing by sociodemographic strata. Compared with individuals in the least disadvantaged areas, those in the most disadvantaged quintile were less likely to receive dipeptidyl peptidase-4 inhibitors (DPP4is), glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is) in the first year of availability (OR [95% CI] for most vs least disadvantaged: 0.78 [0.75, 0.82], 0.65 [0.60, 0.71] and 0.89 [0.84, 0.95], respectively). These disparities dissipated over time for DPP4is and SGLT2is but remained significant for GLP-1RAs. The OR (95% CI) of receiving DPP4is, GLP-1RAs and SGLT2is in the first year of availability for people in remote areas vs major cities was 0.46 (0.39, 0.54), 0.46 (0.35, 0.61) and 0.71 (0.59, 0.84), respectively. These disparities remained significant through to 2015. People with diabetes in more disadvantaged areas are less likely to receive newer diabetes medications, although this effect decreased over time. However, there are considerable and persistent differences in receipt of newer diabetes medications between major cities and remote areas of Australia. Graphical abstract.

Access to appropriate prescription medications, use of inappropriate or ineffective treatments, and adverse drug events are public health concerns among US children and adolescents. To evaluate trends in use of prescription medications among US children and adolescents. US children and adolescents aged 0 to 19 years in the 1999-2014 National Health and Nutrition Examination Survey (NHANES)-serial cross-sectional, nationally representative surveys of the civilian noninstitutionalized population. Sex, age, race and Hispanic origin, household income and education, insurance status, current health status. Use of any prescription medications or 2 or more prescription medications taken in the past 30 days; use of medications by therapeutic class; trends in medication use across 4-year periods from 1999-2002 to 2011-2014. Data were collected though in-home interview and direct observation of the prescription container. Data on prescription medication use were available for 38 277 children and adolescents (mean age, 10 years; 49% girls). Overall, use of any prescription medication in the past 30 days decreased from 24.6% (95% CI, 22.6% to 26.6%) in 1999-2002 to 21.9% (95% CI, 20.3% to 23.6%) in 2011-2014 (β = -0.41 percentage points every 2 years [95% CI, -0.79 to -0.03]; P = .04), but there was no linear trend in the use of 2 or more prescription medications (8.5% [95% CI, 7.6% to 9.4%] in 2011-2014). In 2011-2014, the most commonly used medication classes were asthma medications (6.1% [95% CI, 5.4% to 6.8%]), antibiotics (4.5% [95% CI, 3.7% to 5.5%]), attention-deficit/hyperactivity disorder (ADHD) medications (3.5% [95% CI, 2.9% to 4.2%]), topical agents (eg, dermatologic agents, nasal steroids) (3.5% [95% CI, 3.0% to 4.1%]), and antihistamines (2.0% [95% CI, 1.7% to 2.5%]). There were significant linear trends in 14 of 39 therapeutic classes or subclasses, or in individual medications, with 8 showing increases, including asthma and ADHD medications and contraceptives, and 6 showing decreases, including antibiotics, antihistamines, and upper respiratory combination medications. In this study of US children and adolescents based on a nationally representative survey, estimates of prescription medication use showed an overall decrease in use of any medication from 1999-2014. The prevalence of asthma medication, ADHD medication, and contraceptive use increased among certain age groups, whereas use of antibiotics, antihistamines, and upper respiratory combination medications decreased.

Little is known about the use of allergy and asthma medications in older adults. This study aimed to assess the prevalence of use of these medications in older adults and evaluate predictors of their use. Cross-sectional study using data from the National Social Life, Health, and Aging Project (NSHAP), a nationally representative sample of community-dwelling, U.S. adults 57 to 85 years (n = 2976) collected in 2005-2006. We determined prevalence of medication use and used logistic regression to evaluate sociodemographic and health factors associated with their use. Overall prevalence of allergy medication usage was 8.4% (most commonly antihistamines), and prevalence of asthma medication usage was 8.0% (most commonly bronchodilators). Allergy medication use was significantly associated with history of asthma (odds ratio [OR] 2.37; 95% confidence interval [CI], 1.52 to 3.69), chronic obstructive pulmonary disease (COPD) (OR 2.35; 95% CI, 1.58 to 3.51), or nasal surgery (OR 1.97; 95% CI, 1.00 to 3.86). Older age was associated with decreased allergy medication use (per decade, OR 0.80; 95% CI, 0.66 to 0.98). Although increased education was associated with increased overall allergy medication use, it was associated with decreased use of allergy medications generally contraindicated in the elderly. In contrast, the only significant predictors of asthma medication use were history of asthma (OR 19.66; 95% CI, 3.18 to 121.70) or COPD (OR 4.25; 95% CI, 0.88 to 20.44). Allergy and asthma medication use is prevalent among older adults and driven mostly by history of asthma or COPD. Additional sociodemographic factors predict allergy (but not asthma) medication use. Further studies are needed to evaluate efficacy of these drugs in the elderly.

It is critically important to protect the health of the oldest-old people, as their hospitalization and death rates are high. The objective of this study was to analyze the prevalence of potentially inappropriate medication use among the community-dwelling oldest-old people and its association with their demographic characteristics. Data were collected from real-world settings using the observational method for this descriptive study. An older adult aged ≥ 85 years old was defined as the oldest-old. The participants were visited in their homes. The generic names of the medications used, and the age, sex, and province of residence were recorded. The medications were analyzed according to the 2019 Beers criteria, and their prevalence of use among the oldest-old people was determined. Data were collected from 549 of the oldest-old people. The median age of the participants was 88.0 years (88.8 ± 3.5; min = 85.0, max = 102), and 61.3% (n = 336) of them were female. The study findings showed that 65.0% of the community-dwelling oldest-old people used potentially inappropriate medications, with a median number of 1 (min = 0, max = 6). The prevalence of potentially inappropriate medication use increased linearly with the number of drugs used (p = 0.001). The median number of medications was significantly higher in the potentially inappropriate medication user group (5 vs. 2, p = 0.001). Diuretics, proton pump inhibitors, and nonsteroidal antiinflammatory drugs were the most frequently used potentially inappropriate medications. The prevalence of potentially inappropriate medication use was high among the oldest-old people in Turkiye. There were no differences in frequency of use according to age, sex, or geographical region. It is important to prevent the use of potentially inappropriate medications that should be avoided and to monitor the oldest-old group that uses potentially inappropriate medications that should be used with caution.

51 Background: Inequities in cancer care delivery can profoundly affect access to high-quality treatments and patient outcomes. Supportive care medication use is important for preserving quality of life in older adults with metastatic pancreatic ductal adenocarcinoma (PDAC). Whether there are differences in supportive care medication use by race and sex is unknown. Our objectives were to assess the racial/ethnic and biological sex inequities in use of treatments for pain, depression, and pancreatic insufficiency-related treatments (PERT) among older adults with PDAC. Methods: We used the Surveillance, Epidemiology, and End Results-Medicare linked database, to identify Medicare beneficiaries aged 65 and older diagnosed with metastatic PDAC from January 2008 to December 2019. We included those continuously enrolled in Medicare prescription drug benefits in the 6 months before and month of diagnosis. Any use of opioid pain medications, antidepressants, and PERT was identified from diagnosis to the end of the study period (at death, disenrollment, or 12 months). Multivariable regression was used to compare supportive care medications use by racial/ethnic and biological sex groups. Results: There were 29,509 individuals in our sample, with12.9% Black patients, 3.9% Hispanic patients, and 83.2% White patients. The mean age was 76.5 (SD: 7.4) years. Mean follow-up time was 135.4 (SD:117.7) days overall, with the shortest follow-up among Black patients 124 (SD:111.1) days and longest for White patients 137.5 (SD: 118.8) days. Antidepressants were used by 23.8%, opioids by 60.3%, and PERT by 12.4% overall. Within race groups there were limited differences in medication use by sex. However, we observed differences in supportive care treatment use by race and ethnicity. Specifically, relative to White individuals, those who identified as Black were 20% less likely (adjusted risk ratio [aRR]: 0.8, 95% CI:0.74-0.85) to receive antidepressants, 14% less likely to receive opioids (aRR: 0.86, 95% CI:0.84-0.89), and 41% less likely to receive PERT (aRR: 0.59, 95% CI:0.53-0.65). Similar patterns were observed for patients of Hispanic ethnicity, with those individuals being 12% less likely (adjusted risk ratio[aRR]: 0.88, 95% CI:0.89-0.98) to receive antidepressants, 9% less likely to receive opioids (aRR: 0.91, 95% CI:0.87-0.96), and 42% less likely to receive PERT (aRR: 0.58, 95% CI:0.47-0.70). Conclusions: Our preliminary data showed differences in the uptake of supportive care drugs among Black and Hispanic patients relative to White patients. Specifically, these individuals were less likely to start opioid pain medications, antidepressants, and pancreatic enzyme replacement therapy compared to their White counterparts. These findings highlight potential gaps in treatment use that may better support patients facing life-limiting illnesses.

Background: Proton pump inhibitors (PPIs) are drugs that reduce the production of acid in the stomach. Recently, the use of PPI has been increasing among communities, whether with or without prescription. As a part of the healthcare team, the pharmacist should not only dispense medications but also ensure the appropriate use of these medications. Studies conducted within 16 countries showed substantial variation in the appropriateness of the use of PPI drugs. Aim: To evaluate the appropriateness of PPIs use in Sharjah, UAE based on surveys answered by pharmacists, physicians, and patients. Methods: A cross-sectional survey study was conducted on December 2017 at Sharjah, UAE as an example of information obtained from the Middle East. Two different surveys were conducted on physicians and pharmacists. Both Physicians and Pharmacists were chosen randomly from Yellow Pages. The results obtained from both studies were used to develop a patient’s survey, which was distributed among University of Sharjah students, their families and random people at Shopping Malls and Clinics. Results: The results obtained from the patients’ survey showed that ~39% of PPI users from the region of Sharjah are 25 - 44 years old. Approximately 79% are using PPI according to physicians’ prescriptions. Prescriptions’ duration is varied between 1 month (39%) and 6 months (22%), where 52% of PPI users ask their physicians to prescribe PPIs when needed. Suggested reasons for the use of PPI included inappropriate food habits (52%), use of other medications (16%) or bacterial infection (13%). Around 52% of the patients did not receive any recommendations regarding the deprescribing of PPIs. According to the pharmacists’ surveys, an average sale of 5 - 10 PPI packages is reported per day, and around 50% are sold without a prescription. Most pharmacists were not fully aware of the health conditions and side effects of PPI drugs. On the other hand, physicians’ surveys showed that PPIs were mainly prescribed in the case of GERD and ulcer and for a maximum of 2 - 4 weeks. Approximately 75% of physicians recommend changing regimen by reducing the dose and stopping in case of chronic use of PPIs. Conclusion: The results from this survey study indicated that even though most PPI consumers at Sharjah, UAE are well aware of the use of PPI drugs and they follow the instructions given by the Physicians’, there is some discrepancy in the information obtained by the physicians, pharmacists, and patients. The reason for this discrepancy may be attributed to the missing role of the pharmacists which is currently just dispensing the medications without appropriate counseling. Thus the appropriate role of the pharmacists should be implemented according to the known international guidelines.

PurposeAsthma has been positively associated with irregular menses and infertility in some studies, but data are limited on the relation between asthma medication use and fecundability (i.e., average per-cycle probability of conception among non-contracepting couples). This study examines the extent to which a history of asthma, asthma medication use, and age at first asthma diagnosis are associated with fecundability among female pregnancy planners.Participants and MethodsPregnancy Study Online (PRESTO) is an ongoing, web-based preconception cohort study of couples aged 21–45 years from North America. Between July 2013 and July 2019, a total of 10,436 participants enrolled in PRESTO, and 8286 were included in the present analysis. At study enrollment, women reported whether they had ever been diagnosed with asthma and, if so, the year they were first diagnosed. Women who reported ever being diagnosed with asthma were asked about medication use, including medication type and frequency of use. Participants completed follow-up questionnaires every 8 weeks for up to 12 months or until pregnancy. Proportional probabilities regression models were used to estimate fecundability ratios (FRs) and 95% confidence intervals (CIs), adjusting for potential confounders. Fecundability ratios below 1.00 indicate reduced probability of conception.ResultsThere was little association between a history of asthma diagnosis or asthma medication use and fecundability. Compared with no history of asthma, the FR for ever-diagnosis of asthma with medication use was 1.02 (95% CI: 0.91–1.15) and for ever-diagnosis of asthma without medication use was 1.00 (95% CI: 0.91–1.09). Highest intensity asthma medication use (daily plus extra dosing for symptoms), combination inhaled corticosteroid and long-acting beta-agonist inhaler use, and a first diagnosis of asthma after age 17 years were associated with small reductions in fecundability.ConclusionThe present study provides little evidence that asthma or asthma medication use is adversely associated with fecundability.

Clinical trial participation should theoretically reduce barriers to care by ensuring medication and healthcare access. We aimed to evaluate disparities in achieving diabetes treatment targets by race/ethnicity and educational attainment within the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial (ClinicalTrials.gov NCT00000620). The ACCORD trial included three interventions of varying participant burden: glycaemic (high burden), blood pressure (medium burden) and triglyceride-lowering (low burden). We examined adjusted odds ratios (aORs) for achievement of glycaemic targets, blood pressure targets and a ≥25% reduction in triglyceride levels (a proxy for adherence to fenofibrate therapy) in the first year, and for hypoglycaemia requiring medical assistance at any time, by treatment arm, race/ethnicity and educational attainment using multivariable models adjusted for demographics and clinical characteristics. We explored whether disparities in glycaemic goal achievement were mediated by hypoglycaemia, medication use, change in BMI or number of study visits attended. Compared with White participants, participants who identified as Black, Hispanic and Other race/ethnicity were less likely to achieve glycaemic targets (aOR [95% CI]) 0.63 [0.55,0.71], 0.73 [0.61, 0.88], 0.82 [0.71, 0.96], respectively); Black participants but not Hispanic and Other race/ethnicity participants were less likely to achieve blood pressure targets (aOR [95% CI] 0.77 [0.65, 0.90], 1.01 [0.78, 1.32], 1.01 [0.81, 1.26], respectively); and Black, Hispanic and Other race/ethnicity participants were equally or more likely to achieve triglyceride reduction (aOR [95% CI] 1.77 [1.38, 2.28], 1.34 [0.98, 1.84], 1.43 [1.10, 1.85], respectively). Differences in goal achievement by educational attainment were generally not significant after adjusting for baseline characteristics. Rates of hypoglycaemia requiring medical assistance were highest among Black individuals and those with lower educational attainment. Associations between race/ethnicity and glycaemic control were partially mediated by differences in insulin dosing and oral medication use. Racially/ethnically minoritised participants in the ACCORD trial were less likely to achieve high-burden (glycaemic) treatment goals but were generally similarly likely to achieve goals of less intensive interventions. Differences in glycaemic treatment goal achievement were partially mediated by differences in medication use but not mediated by hypoglycaemia, change in BMI or study visit attendance.