Once a vaccine for coronavirus disease 2019 becomes available, it will be important to maximize vaccine uptake and coverage. This national survey explores factors associated with vaccine hesitancy. The results suggest that multipronged efforts will be needed to increase acceptance of a coronavirus disease 2019 vaccine.
Study Objective-To compare drug adherence rates among patients with gout, hypercholesterolemia, hypertension, hypothyroidism, osteoporosis, seizure disorders, and type 2 diabetes mellitus by using a standardized approach. Design-Longitudinal study. Data Source-Health care claims data from 2001-2004.Patients-A total of 706,032 adults aged 18 years or older with at least one of the seven medical conditions and with incident use of drug therapy for that condition.Measurements and Main Results-Drug adherence was measured as the sum of the days' supply of drug therapy over the first year observed. Covariates were age, sex, geographic residence, type of health plan, and a comorbidity score calculated by using the Hierarchical Condition Categories risk adjuster. Bivariate statistics and stratification analyses were used to assess unadjusted means and frequency distributions. Sample sizes ranged from 4984 subjects for seizure disorders to 457,395 for hypertension. During the first year of drug therapy, 72.3% of individuals with hypertension achieved adherence rates of 80% or better compared with 68.4%, 65.4%, 60.8%, 54.6%, 51.2%, or 36.8% for those with hypothyroidism, type 2 diabetes, seizure disorders, hypercholesterolemia, osteoporosis, or gout, respectively. Age younger than 60 years was associated with lower adherence across all diseases except seizure disorders. Comorbidity burden and adherence varied by disease. As comorbidity increased, adherence among subjects with osteoporosis decreased, whereas adherence among those with hypertension, hypercholesterolemia, or gout increased. Addon drug therapies and previous experience with taking drugs for the condition increased adherence among subjects with hypertension, type 2 diabetes, hypothyroidism, or seizure disorders but not the other conditions. Our assessment of the published empiric evidence revealed few comparisons of drug nonadherence rates across medical conditions. Nearly all adherence studies have focused on a single disease, and comparisons across studies are difficult given the wide variety of methods used to calculate drug nonadherence rates. 4 The objective of our study was to apply a uniform method for comparing adherence rates across a range of chronic medical conditions that are commonly treated with long-term drug therapy. Conclusion-This Methods Study Population and Data SourcesThe study sample included approximately 1.3 million individuals aged 18 years or older who had a diagnosis of gout, hypercholesterolemia, hypertension, hypothyroidism, osteoporosis, seizure disorders, or type 2 diabetes during the study period of [2001][2002][2003][2004]. These conditions were selected because they are chronic, because they commonly occur in adults, and because regular and persistent drug therapy is recommended as treatment. In addition, the subjects must have started new drug therapy for their condition between January 1, 2002, and December 31, 2003. Table 1 lists the diagnostic codes and drug therapies for these disorders.Our analysis focused on rec...
Introduction Adherence to urate-lowering drugs (ULDs) has not been well evaluated among those with gout. Our aim was to assess the level and determinants of non-adherence with ULDs prescribed for gout.
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BACKGROUND: Improvements in cancer detection and treatment have resulted in increasing numbers of breast cancer survivors. Information regarding the use of mammography by breast cancer survivors is limited. METHODS: The use of surveillance mammography was examined over a 5-year period in a retrospective cohort of women age\u3eor=55 years who were diagnosed with incident primary breast cancer (1996-1997) while enrolled in 1 of 4 geographically diverse integrated health systems. RESULTS: Of the 797 women included in the study, 80% (n=636) underwent mammograms during the first year after treatment for breast cancer. The percentage of women having mammograms during each yearly period decreased significantly over time. In multivariable analyses, older women with comorbid illnesses or those with late-stage disease were less likely to undergo mammograms, whereas those who underwent breast-conserving therapy (adjusted odds ratio [OR] of 1.38 [95% confidence interval (95% CI), 1.09-1.75]) were more likely to have mammograms. Women who had outpatient visits with a gynecologist (adjusted OR of 3.49 [95% CI, 2.55-4.79]), or a primary care physician (adjusted OR of 2.21 [95% CI, 1.73-2.82]) during the year were more likely to undergo mammograms in that year. CONCLUSIONS: The use of mammography among breast cancer survivors declines over time. Efforts are needed to increase awareness among healthcare providers and breast cancer survivors of the value of follow-up mammography. The current findings highlight the importance of maintaining ongoing contact with primary care physicians and gynecologists
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