BackgroundFew large cohort studies have examined the prevalence of diabetes mellitus (DM), hypertension (HTN), coronary artery disease (CAD), obesity, and smoking among middle-aged and older adults in the major Asian-American ethnic groups and Native Hawaiian/Pacific Islanders (PIs). The aim of this study was to evaluate how prevalence of these conditions and risk factors differs across Asian-American and PI ethnic groups and compares with an aggregated All Asian-American racial group.MethodsThis study used a cohort of 1.4 million adults aged 45 to 84 who were Kaiser Permanente Northern California health plan members during 2016. The cohort included approximately 274,910 Asian-Americans (Chinese, Filipino, Japanese, Korean, Southeast Asian, South Asian, other), 8450 PIs, 795,080 non-Hispanic whites, 107,200 blacks, and 210,050 Latinos. We used electronic health record data to produce age-standardized prevalence estimates of DM, HTN, CAD, obesity (using standard and Asian thresholds), and smoking for men and women in all racial/ethnic subgroups and compared these subgroups to an aggregated All Asian-American racial group and to whites, blacks, and Latinos.ResultsWe found large differences in health burden across Asian-American ethnic subgroups. For both sexes, there were 16 and > 22 percentage point differences between the lowest and highest prevalence of DM and HTN, respectively. Obesity prevalence among Asian subgroups (based on an Asian BMI ≥ 27.5 kg/m2 threshold) ranged from 14 to 39% among women and 21 to 45% among men. Prevalence of smoking ranged from 1 to 4% among women and 5 to 14% among men. Across all conditions and risk factors, prevalence estimates for Asian-American and PI ethnic groups significantly differed from those for the All Asian-American group. In general, Filipinos and PIs had greater health burden than All Asians, with prevalence estimates approaching those of blacks.ConclusionsIn a population of middle-aged and older adult Northern California health plan members, we found substantive differences in prevalence of chronic cardiovascular conditions, obesity, and smoking across Asian-American ethnic groups and between Asian-American ethnic groups and an aggregated All Asian racial group. Our study confirms that reporting statistics for an aggregated Asian-American racial group masks meaningful differences in Asian-American ethnic group health.
Physician satisfaction with the laboratory testing process is one indicator of the physician's perception of the quality of laboratory testing and the effectiveness of the communication of the laboratory results. This study compares the level of satisfaction of physicians reporting their experience with human immunodeficiency virus type 1 (HIV-1) testing with the satisfaction levels of those physicians reporting their experience with hepatitis B virus (HBV) testing. By mail, 6,570 licensed San Diego County physicians were surveyed. Among those who tested for HIV-1 or HBV, their satisfaction with four different HIV-1 or HBV testing parameters was assessed: 1) specimen submission process, 2) test accuracy, 3) clarity of test report, and 4) turnaround time. Overall, physician satisfaction with both HIV-1 and HBV testing was high, particularly for test accuracy (means of 2.79 and 2.84, respectively on a 3-point scale), although slightly lower for turnaround time (means of 2.40 and 2.43, respectively). Mean satisfaction with the specimen submission process and test accuracy were higher for physicians who ordered HBV tests than for those who ordered HIV-1 tests. Satisfaction with the four HIV-1 testing process parameters varied significantly by physician specialty, practice type, and type of laboratory used. For HBV testing, significant differences were observed only for turnaround time. For both HIV-1 and HBV testing, those who received a final interpretation of laboratory results were more satisfied with test report clarity than those who did not. Although physician satisfaction with HIV-1 and HBV testing is high, this study identifies the least satisfied groups and specific areas in the testing process than may need improvement.
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