Understanding the impact of non-alcoholic steatohepatitis with metabolic comorbidities on adults: a real-world qualitative study.

OBJECTIVE: Limited real-world evidence exists to better understand the patient experience of living with symptoms and impacts of non-alcoholic steatohepatitis (NASH). This study aimed to (1) describe patient-reported perspectives of NASH symptoms and impacts on patients' daily lives and (2) develop a patient-centered conceptual NASH model. METHODS: A cross-sectional study using semi-structured qualitative interviews was conducted among adults (≥18 years) in the United States living with NASH. Eligible participants were diagnosed with NASH, had mild to advanced fibrosis (F1-F3), and no other causes of liver disease. The interview guide was informed by a targeted literature review (TLR) to identify clinical signs, symptoms, impacts, and unmet treatment needs of NASH. Participants described their experiences and perspectives around NASH and the symptoms, symptom severity/bother, and impact of NASH on their daily activities. Interviews were audio-recorded and transcribed verbatim for coding and thematic analysis. RESULTS: Twenty participants (age: 42.4 years; female: 50.0%) were interviewed. Participants discussed their experience with NASH symptoms (most frequent: fatigue [75.0%]; weakness/lethargy [70.0%]) and impacts (most frequent: physical and psychological/emotional [70.0% each]; dietary [68.4%]). Participants considered most symptoms to be moderately severe or severe and moderately or highly bothersome. Findings from the TLR and qualitative interviews were incorporated into a conceptual model that describes patient-reported symptoms and impacts of NASH, clinical signs, risk factors, and unmet treatment needs. CONCLUSION: Our study provides insights into patients' perspectives of NASH symptoms and their impact on their daily lives. These findings may guide patient-physician conversations, supporting patient-centered treatment decisions and disease management.

Study findings help to address the gap in current literature about patients' perspectives on NASH and its symptoms as well as its impact on daily life.The study proposes a holistic conceptual model that describes patients' perspectives of living with NASH, including symptoms and their impact, the clinical signs and risk factors of NASH, and the unmet treatment needs of the disease.Healthcare providers can use study findings to inform patient-focused decisions around treatment strategies for NASH.

Clinical, economic, and health-related quality of life outcomes in patients with overweight or obesity in the United States: 2016-2018.

Objectives: This study aimed to estimate clinical, economic (including productivity), and health-related quality of life (HRQoL) outcomes and associated individual characteristics among adults with overweight (OW) or obesity in the United States. Methods: This study included adult respondents with body mass index (BMI) ≥18.5 kg/m2 in the 2017-2018 National Health and Nutrition Examination Survey (NHANES) and 2016 Medical Expenditure Panel Survey. Respondents were classified according to BMI. Individual characteristics were described by BMI categories. Multivariable regression models estimated the association between BMI categories and outcomes, adjusting for individual characteristics. Results: Nearly three-quarters (73.7%) of NHANES participants were OW or obese. Relative to Normal weight (NW), respondents with Class 3 obesity had more obesity-related complications (2.07 vs. 4.62, p < 0.001). Higher BMI was associated with significantly lower HRQoL, lower productivity, and higher healthcare expenditures as well as more frequent weight loss attempts in the previous 12 months. Weight loss surgery and prescription anti-obesity medications (AOMs) were used only by a very small proportion of individuals. Despite frequent weight loss attempts, most respondents did not achieve clinically meaningful weight loss. Conclusions: Adults with OW or obesity experienced worse clinical, economic and HRQoL outcomes than those with NW. Better use of evidence-based obesity treatments, including prescription AOMs, should be considered to achieve more clinically meaningful weight reduction and improved outcomes in individuals with OW or obesity.

EXIST: EXamining rIsk of excesS adiposiTy-Machine learning to predict obesity-related complications.

Background: Obesity is associated with an increased risk of multiple conditions, ranging from heart disease to cancer. However, there are few predictive models for these outcomes that have been developed specifically for people with overweight/obesity. Objective: To develop predictive models for obesity-related complications in patients with overweight and obesity. Methods: Electronic health record data of adults with body mass index 25-80 kg/m2 treated in primary care practices between 2000 and 2019 were utilized to develop and evaluate predictive models for nine long-term clinical outcomes using a) Lasso-Cox models and b) a machine-learning method random survival forests (RSF). Models were trained on a training dataset and evaluated on a test dataset over 100 replicates. Parsimonious models of <10 variables were also developed using Lasso-Cox. Results: Over a median follow-up of 5.6 years, study outcome incidence in the cohort of 433,272 patients ranged from 1.8% for knee replacement to 11.7% for atherosclerotic cardiovascular disease. Harrell C-index averaged over replicates ranged from 0.702 for liver outcomes to 0.896 for death for RSF, and from 0.694 for liver outcomes to 0.891 for death for Lasso-Cox. The Harrell C-index for parsimonious models ranged from 0.675 for liver outcomes to 0.850 for knee replacement. Conclusions: Predictive modeling can identify patients at high risk of obesity-related complications. Interpretable Cox models achieve results close to those of machine learning methods and could be helpful for population health management and clinical treatment decisions.

Impact of Weight Change on Glycemic Control and Metabolic Parameters in T2D: A Retrospective US Study Based on Real-World Data.

INTRODUCTION: Weight loss has been identified as a key strategy for improving glycemic and metabolic outcomes in people with type 2 diabetes (T2D). However, the long-term, real-world impact of weight loss on these outcomes remains unclear. This study aimed to investigate (1) the association between weight loss and glycemic control, (2) association between weight loss and metabolic parameters, and (3) predictors of weight loss and how weight change trajectory varies based on index body mass index (BMI). METHODS: A retrospective, longitudinal cohort study using the linked IQVIA Ambulatory electronic medical records and PharMetrics® Plus databases was performed from January 1, 2010 through December 31, 2019 in adults with T2D. Participants were categorized into 1-year and 5-year follow-up cohorts based on their observed weight change over time. Longitudinal values for vital signs and laboratory parameters, including BMI, weight, glycated hemoglobin (HbA1c), and metabolic parameters (liver enzymes and cholesterol), were reported at index date and every 6 months post index date. Multivariable logistic regression analysis was used to evaluate the factors associated with weight loss. RESULTS: Of 1,493,964 people evaluated, 1,061,354 (71%) and 308,320 (20.6%) were classified into the 1-year and 5-year follow-up cohorts. Average HbA1c reductions of 1.2% and 0.5% were observed among people who lost ≥ 15% of index weight in the 1-year and 5-year follow-up cohorts, respectively. Higher weight loss percentages were associated with numerically greater improvements in metabolic parameters. The presence of bariatric surgery and higher index BMIs were identified as the strongest predictors of ≥ 15% and ≥ 10% weight loss in both follow-up cohorts. CONCLUSION: Results from this study suggest that modest and sustained weight loss can lead to clinically meaningful improvements in glycemic and metabolic parameters among people with T2D. These findings highlight the importance of weight management in managing T2D and preventing its associated complications.

The roles of type 2 diabetes and obesity in disease activity and progression of non-alcoholic fatty liver disease/non-alcoholic steatohepatitis.

OBJECTIVE: We examined the roles of type 2 diabetes (T2D) and obesity in disease activity and fibrosis progression/regression in patients with non-alcoholic fatty liver disease/non-alcoholic steatohepatitis (NAFLD/NASH). METHODS: This multi-center, retrospective study included patients with suspected or histologically proven NAFLD/NASH from the NASH Clinical Research Network. Outcomes included disease activity and rate of fibrosis, assessed using liver-biopsy driven measures (NAFLD activity score [NAS] and fibrosis score [FS]). Logistic regression and doubly robu estimation of causal effects tested relationships among T2D, obesity, and NAFLD/NASH. RESULTS: The analytical sample included 870 adult patients with baseline biopsy data and 157 patients with multiple biopsy data. Patients with NAFLD/NASH and T2D had significantly higher baseline average NAS (4.52 vs. 4.13; p = 0.009) and FS (2.17 vs. 1.56; p < 0.0001); those with T2D had a significantly greater reduction in average NAS over time (-0.77/year vs. -0.17/year; p = 0.0008). Change in FS over time did not differ significantly by T2D status (-0.23/year vs. -0.04/year; p = 0.34). Baseline NAS, baseline FS, and change in average NAS over time did not differ significantly by obesity status (4.17 vs. 4.47; p = 0.16; 1.73 vs.1.92; p = 0.31; -0.40/year vs. -0.59/year; p = 0.62, respectively). Patients with obesity had a slight increase in FS but those without obesity had a reduction in average FS over time (0.07/year vs. -0.27/year; p = 0.008). CONCLUSIONS: Patients with NAFLD/NASH and T2D had greater baseline disease activity versus those without T2D, but there was greater regression of disease activity over time among those with T2D. Patients with NAFLD/NASH and obesity had worsening of fibrosis versus those without obesity. NCT00063622.

Cancer pattern in Varanasi district from Uttar Pradesh state of India, a foundation for cancer control based on the first report of the population-based cancer registry.

Background: The cancer registry provides reliable data from the population. In this article, we provide cancer burden and its patterns from the Varanasi district. Methods: The method adopted by the Varanasi cancer registry is community interaction along with regular visits to more than 60 sources to collect data on cancer patients. The cancer registry was established by the Tata Memorial Centre, Mumbai, in 2017 covering 4 million population (57% rural and 43% urban population). Results: The registry has recorded 1,907 incidence cases (1,058 male and 849 female). The age-adjusted incidence rate per 100,000 population in male and female of Varanasi district is 59.2 and 52.1, respectively. One in 15 male and one in 17 female are at risk of developing the disease. Mouth and tongue cancers are the predominant cancers in male, whereas breast, cervix uteri, and gallbladder are the leading cancer sites among the female. In female, cervix uteri cancer is significantly higher (double) in rural areas when compared with urban areas (rate ratio [RR] 0.5, 95% confidence interval [CI; 0.36, 0.72]), whereas in male, mouth cancer is higher in urban areas when compared with rural areas (RR 1.4, 95% CI [1.11, 1.72]). More than 50% of cancer cases in male are due to tobacco consumption. There may be underreporting of the cases. Conclusion: The results of the registry warrant policies and activities related to early detection services for the mouth, cervix uteri, and breast cancers. The Varanasi cancer registry is the foundation for cancer control and will play an important role in the evaluation of the interventions.

The Benefits of Safely Achieving Near Normoglycemia from the Perspective of People with Type 2 Diabetes: A Quantitative Survey Study.

Purpose: To understand the perspectives of people with type 2 diabetes (T2D) on safely reaching near normoglycemia, defined as a glycated hemoglobin A1c (HbA1c) value of <6%. HbA1c indicates the average blood sugar level over the past few months. Patients and Methods: This cross-sectional online quantitative survey of people with T2D asked about the current impacts of T2D, the anticipated benefits of safely achieving near normoglycemia among participants with a current HbA1c ≥6%, or the actual benefits of safely achieving near normoglycemia among participants who had an HbA1c <6%. Participants reported on specific areas of psychological/emotional impact of T2D and the psychological/emotional benefits of achieving near normoglycemia. Results: Participants (N = 1000; United States = 500 and United Kingdom = 500) were 53.1% male and had a mean age of 62.9 years (SD = 13.3). The majority reported that the current HbA1c ≥6% (81.2%) and 49.2% had been diagnosed more than 10 years ago. The vast majority of participants (>90%) indicated that achieving near normoglycemia was meaningful, with 95% of the participants indicating that achieving near normoglycemia would be of somewhat or extreme importance to them. In total, 93.8% of participants with a current HbA1c ≥6% and 80.3% of those with a current HbA1c <6% anticipated/reported having experienced improvements as a result of achieving near normoglycemia. Among those who experienced or anticipated positive psychological/emotional impacts (n = 247), the most commonly reported impacts included less worry about future diabetes-related complications (79.8%), feeling in control over one's life (72.9%), and overall health-related quality of life (59.9%). Conclusion: Achieving near normoglycemia is both meaningful and important to the majority of people with T2D, including both those who have and those who have not experienced reaching near normoglycemia. A wide range of specific impacts, including psychological/emotional concepts, are experienced by people with T2D, many of which may be improved through achieving near normoglycemia.

Weight Change and the Association with Adherence and Persistence to Diabetes Therapy: A Narrative Review.

PURPOSE: Type 2 diabetes (T2D) medication adherence is poor and is impacted by individual drug characteristics. Treatment-associated weight change can affect medication-taking behavior. This review aimed to explore weight change on T2D therapy and consider its impact on adherence and discontinuation. METHODS: Searches were conducted in MEDLINE and EMBASE (2005 to September 2020), and among recent congress abstract books for studies providing data on medication adherence or discontinuation and weight change in people with T2D (PwD). RESULTS: Nine studies meeting the inclusion criteria were identified from 9188 bibliographic records. All three studies exploring weight change and discontinuation reported weight loss to be associated with higher persistence. Seven studies of varying design explored weight change and adherence. Four reported absolute weight change (kg) and adherence: one pooled data from different diabetes medications and demonstrated that self-reported adherence was significantly associated with weight loss; however, three studies found that weight change in adherent PwD was in the direction of the known weight profile (loss/gain) of the evaluated drug. Categorical weight loss (≥3%) and adherence were reported in two studies: one reported that numerically more adherent versus non-adherent PwD lost ≥3% weight regardless of the drug's weight profile, the other showed that early weight loss with a glucagon-like peptide-1 agonist was significantly associated with better adherence. One study reported adherence by categorical weight change; as weight loss increased, adherence scores improved, regardless of drug type. CONCLUSION: Findings suggest that discontinuation rates may be lower in PwD who lose as compared to those who gain weight on T2D treatment. The evidence base on adherence and weight change is more challenging to interpret due to the range of study designs. Given the importance of weight control in T2D, further research exploring the individual's treatment, weight journey, and behaviors over time should be undertaken.

Antiobesity Medication Use Among Overweight and Obese Adults in the United States: 2015-2018.

OBJECTIVE: To estimate the utilization of U.S. Food and Drug Administration- approved prescription antiobesity medications (AOMs) and to identify factors associated with AOM use in the United States. METHODS: Respondents aged ≥18 years meeting AOM eligibility criteria in the 2015-2016 and 2017-2018 National Health and Nutrition Examination Survey and the 2016 Medical Expenditure Panel Survey were included in the study. AOM eligibility was defined as having a body mass index (BMI) of ≥30 kg/m2 or having a BMI between 27 and 29.9 kg/m2 and at least 1 obesity-related comorbidity. Demographic, socioeconomic, and clinical characteristics, economic outcomes, and health-related quality of life were summarized and compared between AOM users and nonusers. Multivariable logistic regression was used to identify factors that were associated with AOM use. RESULTS: Only 0.80% of eligible adults reported using AOMs in the past 30 days in 2015-2016 and 2017-2018 National Health and Nutrition Examination Survey. A greater proportion of current AOM users previously tried dietary changes compared with nonusers. They also reported an average weight loss of 3.1 kg over the previous year compared with a 1.5-kg gain among the nonusers. The total health care costs trended higher among AOM users, driven mostly by higher outpatient service costs. A BMI of ≥30 kg/m2, depression, dyslipidemia, and infertility predicted AOM use, whereas Medicare and being at risk of sleep apnea were associated with lower odds of AOM use. CONCLUSION: Despite the availability of newer AOMs and their inclusion in medical treatment guidelines, the utilization of AOMs remains low. This may reflect under-prescribing of and/or restricted patient access to approved evidence-based pharmacotherapy for obesity.

Obesity and glycemic control among people with type 2 diabetes in the United States: A retrospective cohort study using insurance claims data.

AIMS: To examine body mass index (BMI) and HbA1c for individuals with type 2 diabetes (T2D) in the United States. METHODS: The retrospective study utilized data from IBM® MarketScan® Explorys® Claims-EMR Data for the years 2012-2019. Individuals with T2D and a recorded HbA1c laboratory result and BMI were included. The relationship between BMI and HbA1c was assessed descriptively and logistic regressions examined the relationship between benchmark BMI and the probability of having HbA1c above targets of 7% or 8% in the 1year post-period. RESULTS: In our sample of 44,723 patients, results indicated that compared to individuals of normal weight, those classified as obese class I or obese class II were 24% more likely to have a last HbA1c≥7% (Odds Ratio [OR]=1.24; 95% Confidence Interval [CI] 1.14-1.35 for both obese class I and obese class II), while those classified as obese class III were 16% more likely (OR=1.16; 95% CI 1.06-1.27). Results were similar when using a HbA1c threshold of 8%. CONCLUSIONS: Given the importance of glycemic control for people with T2D, these results suggest that treatments which reduce rates of obesity may help to improve health outcomes.

Trends in HbA1c and Body Mass Index Among Individuals with Type 2 Diabetes: Evidence from a US Database 2012-2019.

INTRODUCTION: Given the high rates of obesity and poor glycemic control among individuals with type 2 diabetes (T2D), this study examines current trends in HbA1c and body mass index (BMI) as well as the association between HbA1c and BMI among adults with T2D. METHODS: Data from the IBM® MarketScan® Explorys® Claims-EMR Data were used to construct eight annual cohorts for the years 2012-2019. Each annual cohort included adults identified with T2D who had at least one recorded HbA1c laboratory result and BMI value in the year of interest. Given these cohorts, trends in HbA1c and BMI were described over time using generalized estimating equation (GEE) tests. RESULTS: Results indicate that, over the study period from 2012-2019, average BMI increased significantly and there was a decrease in the percentage of adults with T2D who achieved glycemic control. In addition, for all years, higher BMI classification was associated with higher HbA1c values. When examining results for patients in different age groups, the findings were generally consistent with the overall population. In each age group, but most notably the age 18-44 group, the mean BMI increased over time and higher BMI was associated with higher HbA1c. CONCLUSION: Given the increase in BMI and decreasing percentage of individuals achieving glycemic control among adults with T2D found over the study period, therapies which decrease BMI as well as HbA1c can potentially have a significant impact on the management of T2D. The growing proportion of the younger age group with higher mean BMI may remain a key subgroup of interest.

The Burden of Type 2 Diabetes and the Value of Achieving Near Normoglycemia from the Patient Perspective.

INTRODUCTION: Type 2 diabetes (T2D) is extremely burdensome to people with T2D and associated with impaired health-related quality of life. This study explores the impact of T2D and potentially relevant outcomes for new therapies using a unique approach to in-depth qualitative interviews where people with T2D are asked to think about their future with T2D. METHODS: A cross-sectional qualitative interview study among people with T2D from the USA and UK. Interviews explored their treatment journey, perceptions of their future with T2D, and the value of achieving normoglycemia (explored through presentation of two vignettes with hypothetical medications that reduced hemoglobin A1c [HbA1c] levels < 7% and < 5.7%). RESULTS: Patients with T2D (N = 50; US n = 25; UK n = 25) were 66.0% male, had a mean body mass index (BMI) of 30.8 ± 6.3 kg/m2, and had a mean of 13.0 ± 10.0 years since diagnosis. Current diabetes treatments included diet and exercise only (8.0%), oral medications only (62.0%), oral plus injections (24.0%), and insulin only (6.0%). Despite being treated, participants reported over 25 different unmet needs related to their T2D across a broad range of domains. The most common concerns were diet, diabetes-related complications, weight changes, and psychological and emotional issues. A large majority of participants indicated that achieving lower HbA1c values would change their life. When reflecting on the value of improved glycemic control, patients primarily anticipated physical improvements and improved psychological well-being. When presented with two hypothetical treatments, about 70% of participants preferred the < 5.7% treatment option over the < 7% HbA1c treatment option. CONCLUSIONS: People with T2D have a high disease burden, a broad range of unmet needs, and extremely varied experiences and expectations on the impacts of T2D on their lives and future. Many patients indicated that achieving near normoglycemia would substantially change their lives primarily in terms of their physical and emotional health.

Determinants of completion of cancer directed treatment: an experience from a rural cancer centre, Sangrur, Punjab state, India.

In low and middle-income countries, access to cancer diagnosis and treatment is suboptimal. Further, compliance to cancer treatment is a major issue due to various reasons including financial barriers, lack of family support and fear of treatment. This article discusses the determinants of treatment completion in cancer patients of a government-run hospital, in a rural part of Punjab in India. The Sangrur hospital-based cancer registry data for the year 2018 have been used. We have registered 2,969 cancer cases, out of which 2,528 (85%) cases were eligible for the analysis. Of the total 2,528 cases, 1,362 (54%) cases completed the cancer directed treatment and 1,166 (46%) did not. The data have been collected from the electronic medical record (EMR) department and entered into CanReg5 software. The bivariate and multivariate binary logistic regression analysis was performed to see the effect of variables on the treatment completion. The results indicate that the elderly age group (>60 years) (odds ratio (OR): 0.52, (95% confidence interval (CI): 0.31-0.86)), distance from hospital (OR: 0.67, (95% CI: 0.50-0.89)) and access to government health schemes (OR: 0.13, (95% CI: 0.10-0.19)] have direct correlation with the treatment completion. The educated patients (OR: 1.49, (95% CI: 1.13-1.96)) and patients who received curative treatment (OR: 2.7, (95% CI: 1.88-3.88)) have shown 58% and 84% compliance to treatment completion, respectively. The other variables like the clinical extent of disease, religion, gender and income do not have any significant effect on the treatment completion. Determinants like age (young), education, distance from the hospital, curative treatment and availability of government health schemes for financial support have shown positive effects on treatment completion. These factors have to be considered by the cancer hospitals, health departments and policymakers while planning for cancer care or control in India.

Treatment Persistence and Healthcare Costs Among Patients with Rheumatoid Arthritis After a Change in Targeted Therapy.

BACKGROUND: Targeted disease-modifying antirheumatic drug (DMARD) options for rheumatoid arthritis (RA) include tumor necrosis factor (TNF) inhibitors (adalimumab, certolizumab, etanercept, golimumab, infliximab) or alternative mechanisms of action (MOAs), such as a T-cell co-stimulation modulator (abatacept), Janus kinase inhibitor (tofacitinib), or interleukin-6 inhibitor (tocilizumab). OBJECTIVE: To examine treatment persistence and healthcare costs in patients with RA who changed therapy by cycling therapy (ie, switching within the same drug class), or switching between, the TNF inhibitors and alternative MOA medication classes. METHODS: We analyzed medical and pharmacy claims for commercially insured patients who cycled or switched between targeted DMARD agents between January 1, 2010, and September 30, 2014 (ie, the index date), to determine treatment patterns (ie, treatment switching, discontinuation, restarting after a gap ≥60 days, or persistence) and costs (plan- and patient-paid) for 1 year postindex. The cost per persistent patient was the total healthcare cost divided by the number of treatment-persistent patients. RESULTS: The analysis included 6203 patients who cycled between TNF inhibitors, 2640 patients who switched from TNF inhibitors to alternative MOA agents, 699 patients who cycled between alternative MOA agents, and 687 patients who switched from alternative MOA agents to TNF inhibitors. The 1-year treatment persistence rates (with P values vs TNF inhibitor cyclers) were 45.2% for TNF inhibitor cyclers, 50.3% for TNF inhibitor-alternative MOA switchers (P <.001), 51.4% for alternative MOA agent cyclers (P = .002), and 46.1% for alternative MOA-TNF inhibitor switchers (P = .63). Compared with TNF inhibitor cyclers, the cost per persistent patient was lower for TNF inhibitor-alternative MOA switchers (-$16,853 RA-related; -$19,280 targeted DMARDs), alternative MOA agent cyclers (-$21,662 RA-related; -$25,153 targeted DMARDs), and alternative MOA-TNF inhibitor cyclers (-$7206 RA-related; -$7919 targeted DMARDs). CONCLUSION: Among patients with RA, patients who switched from a TNF inhibitor to an alternative MOA agent and those who cycled between alternative MOA agents had significantly higher treatment persistence rates and a substantially lower cost per persistent patient than those who cycled between TNF inhibitors. These findings support the evaluation of switching medication classes for patients with RA when a targeted therapy fails.

Treatment Persistence and Healthcare Costs Among Patients with Rheumatoid Arthritis Changing Biologics in the USA.

INTRODUCTION: After a patient with rheumatoid arthritis (RA) fails tumor necrosis factor inhibitor (TNFi) treatment, clinical guidelines support either cycling to another TNFi or switching to a different mechanism of action (MOA), but payers often require TNFi cycling before they reimburse switching MOA. This study examined treatment persistence, cost, and cost per persistent patient among MOA switchers versus TNFi cyclers. METHODS: This study of Commercial and Medicare Advantage claims data from the Optum Research Database included patients with RA and at least one claim for a TNFi (adalimumab, certolizumab pegol, etanercept, golimumab, or infliximab) between January 2012 and September 2015 who changed to another TNFi or a different MOA therapy (abatacept, tocilizumab, or tofacitinib) within 1 year. The index date was the date of the change in therapy. Treatment persistence was defined as no subsequent switch or 60-day gap in therapy for 1 year post-index. RA-related costs included plan-paid and patient-paid amounts for inpatient, outpatient, and pharmacy claims. Medication costs included index and post-index costs of TNFi and different MOA therapies. RESULTS: There were 581 (38.3%) MOA switchers and 935 (61.7%) TNFi cyclers. The treatment persistence rate was significantly higher for MOA switchers versus TNFi cyclers (47.7% versus 40.2%, P = 0.004). Mean 1-year healthcare costs were significantly lower among MOA switchers versus TNFi cyclers for total RA-related costs ($37,804 versus $42,116; P < 0.001) and medication costs ($29,001 versus $34,917; P < 0.001). When costs were divided by treatment persistence, costs per persistent patient were lower among MOA switchers versus TNFi cyclers: $25,436 lower total RA-related cost and $25,999 lower medication costs. CONCLUSION: MOA switching is associated with higher treatment persistence and lower healthcare costs than TNFi cycling. Reimbursement policies that require patients to cycle TNFi before switching MOA may result in suboptimal outcomes for both patients and payers. FUNDING: Sanofi and Regeneron Pharmaceuticals.

Pharmacogenomics: assessing educational exposure, confidence in knowledge and training elements of pharmacists.

AIM: This study assessed pharmacist's knowledge and confidence in pharmacogenomics (PGx)-related concepts, and determined their needs with regard to education and training in PGx. METHODS: A cross-sectional survey instrument was sent via postal mail to pharmacists (n = 319) who were randomly selected from the New York State database of licensed pharmacists. Descriptive and bivariate statistics were performed. RESULTS: The response rate was 32% (n = 102). The majority (83%) of respondents had been exposed to basic concepts in genetics, while PGx was not an integral part of their education. Most respondents indicated being somewhat confident in their knowledge of PGx-related concepts. In addition, 64% of respondents reported being interested in attending 1-10 h of continuing education programs in PGx, and 42% of respondents indicated being interested in obtaining a certificate in PGx. CONCLUSION: Educational program development in the format of continuing education or certificate is needed to improve pharmacists' education, confidence and training needs in PGx.