Association between physician adoption of a new oral anti-diabetic medication and Medicare and Medicaid drug spending.

BACKGROUND: In the United States, there is well-documented regional variation in prescription drug spending. However, the specific role of physician adoption of brand name drugs on the variation in patient-level prescription drug spending is still being investigated across a multitude of drug classes. Our study aims to add to the literature by determining the association between physician adoption of a first-in-class anti-diabetic (AD) drug, sitagliptin, and AD drug spending in the Medicare and Medicaid populations in Pennsylvania. METHODS: We obtained physician-level data from QuintilesIMS Xponent™ database for Pennsylvania and constructed county-level measures of time to adoption and share of physicians adopting sitagliptin in its first year post-introduction. We additionally measured total AD drug spending for all Medicare fee-for-service and Part D enrollees (N = 125,264) and all Medicaid (N = 50,836) enrollees with type II diabetes in Pennsylvania for 2011. Finite mixture model regression, adjusting for patient socio-demographic/clinical characteristics, was used to examine the association between physician adoption of sitagliptin and AD drug spending. RESULTS: Physician adoption of sitagliptin varied from 44 to 99% across the state's 67 counties. Average per capita AD spending was $1340 (SD $1764) in Medicare and $1291 (SD $1881) in Medicaid. A 10% increase in the share of physicians adopting sitagliptin in a county was associated with a 3.5% (95% CI: 2.0-4.9) and 5.3% (95% CI: 0.3-10.3) increase in drug spending for the Medicare and Medicaid populations, respectively. CONCLUSIONS: In a medication market with many choices, county-level adoption of sitagliptin was positively associated with AD spending in Medicare and Medicaid, two programs with different approaches to formulary management.

Physician satisfaction with health plans: results from a national survey.

OBJECTIVES: Physician satisfaction is associated with patient satisfaction, adherence to treatment recommendations, and quality. However, burnout is prevalent, and physician experience with health plans is likely a key contributor. We explored physician satisfaction with health plans and assessed physician and plan characteristics associated with greater satisfaction. STUDY DESIGN: Cross-sectional analysis of physician satisfaction surveys for US health plans in 2016. METHODS: We assessed the association between health plan/physician characteristics and physician satisfaction domains using multivariable linear regression. The following satisfaction domains were outcomes of interest, measured by 5-point Likert scales: overall health plan rating, finance, utilization/quality management, network/care coordination, pharmacy, call center, provider relations, and recommendation of the plan to others' practices. RESULTS: We analyzed surveys from 3158 physicians on 74 health plans, representing a 12.6% response rate. We observed highest satisfaction in overall plan rating, finance, and call center domains (adjusted means = 3.25) and lowest satisfaction in the pharmacy domain (adjusted mean = 3.02). The largest and smallest plans and vertically integrated plans had the highest satisfaction; 76% and 66% of physicians recommended vertically integrated plans and non-vertically integrated plans, respectively, to others (P <.001). Solo practitioners rated overall plan rating, finance, utilization/quality management, and pharmacy domains more favorably than did physicians in larger practices, whereas primary care physicians rated overall plan rating, finance, and utilization/quality management more favorably than did specialists. CONCLUSIONS: Our findings demonstrate opportunity to improve physician satisfaction with health plans, specifically in pharmacy/formulary management. As provider satisfaction is increasingly recognized as a critical outcome, our findings highlight intervention targets.

Rheumatoid Arthritis Patients' Motivations for Accepting or Resisting Disease-Modifying Antirheumatic Drug Treatment Regimens.

OBJECTIVE: Patient refusal of and nonadherence to treatment with disease-modifying antirheumatic drugs (DMARDs) can adversely affect disease outcomes in rheumatoid arthritis (RA). This qualitative study describes how RA patients' feelings in response to experiences and information affected their decisions to accept (agree to adopt, initiate, and implement) or resist (refuse, avoid, and discontinue) DMARD treatment regimens. METHODS: A total of 48 RA patients were interviewed about their experiences making decisions about DMARDs. The interviews were transcribed, coded, and analyzed for themes related to their internal motivations for accepting or resisting treatment regimens, using a narrative analysis approach. RESULTS: In addition to feelings about the necessity and dangers of medications, patients' feelings towards their identity as an ill person, the act of taking medication, and the decision process itself were important drivers of patient's decisions. For patients' motivations to accept treatment regimens, 2 themes emerged: a desire to return to a normal life, and fear of future disability due to RA. For motivations to resist treatment regimens, 5 themes emerged: fear of medications, maintaining control over health, denial of sick identity, disappointment with treatment, and feeling overwhelmed by the cognitive burden of deciding. CONCLUSION: Feelings in response to experiences and information played a major role in how patients weighed the benefits and costs of treatment options, suggesting that addressing patients' feelings may be important when rheumatologists counsel about therapeutic options. Further research is needed to learn how best to address patients' feelings throughout the treatment decision-making process.

Differential response of serum amyloid A to different therapies in early rheumatoid arthritis and its potential value as a disease activity biomarker.

BACKGROUND: The aim was to compare the effect of etanercept (ETN) and conventional synthetic disease-modifying anti-rheumatic drug (DMARD) therapy on serum amyloid A (SAA) levels and to determine whether SAA reflects rheumatoid arthritis (RA) disease activity better than C-reactive protein (CRP). METHODS: We measured SAA and CRP at baseline, 24, 48, and 102 week follow-up visits in 594 patients participating in the Treatment of early RA (TEAR) study. We used Spearman correlation coefficients (rho) to evaluate the relationship between SAA and CRP and mixed effects models to determine whether ETN and methotrexate (MTX) treatment compared to triple DMARD therapy differentially lowered SAA. Akaike information criteria (AIC) were used to determine model fits. RESULTS: SAA levels were only moderately correlated with CRP levels (rho = 0.58, p < 0.0001). There were significant differences in SAA by both visit (p = 0.0197) and treatment arm (p = 0.0130). RA patients treated with ETN plus MTX had a larger reduction in SAA than patients treated with traditional DMARD therapy. Similar results were found for serum CRP by visit (p = 0.0254) and by treatment (p < 0.0001), with a more pronounced difference than for SAA. Across all patients and time points, models of the disease activity score of 28 joints (DAS28)-erythrocyte sedimentation rate (ESR) using SAA levels were better than models using CRP; the ΔAIC between the SAA and CRP models was 305. CONCLUSIONS: SAA may be a better biomarker of RA disease activity than CRP, especially during treatment with tumor necrosis factor (TNF) antagonists. This warrants additional studies in other cohorts of patients on treatment for RA. TRIAL REGISTRATION: (ClinicalTrials.gov identifier: NCT00259610 , Date of registration: 28 November 2005).