Differences in health services utilization and costs between antihypertensive medication users versus nonusers in adults with diabetes and concomitant hypertension from Medical Expenditure Panel Survey pooled years 2006 to 2009

A National Catalog of Mapped Short-Form Six-Dimension Utility Scores for Chronic Conditions in the United States From 2010 to 2015

OBJECTIVES

This study examined health preference utility weights and utility decrements associated with different types of chronic conditions in the United States.

METHODS

We used the 2010-2015 Medical Expenditure Panel Survey data for persons aged ≥ 18 years with 12-Item Short-Form Survey Physical and Mental Component Summary scores. 12-Item Short-Form Survey scores were converted to Short-Form Six-Dimension (SF-6D) preference scores to measure utilities of different chronic diseases. We used the Clinical Classification Code to identify 30 chronic diseases from 12 categories, such as cardiovascular diseases, cerebrovascular diseases, hypertension, hyperlipidemia, obesity, cancers, musculoskeletal diseases, endocrine or metabolic diseases, oral diseases, respiratory diseases, and mental disorders. A generalized linear model was used to quantify the utility decrements for 30 chronic diseases, controlling for demographic characteristics.

RESULTS

We identified 132 737 adults (mean age 47.2 years, 52.2% female, 80% white); 73% had at least one identified chronic disease, and the mean SF-6D was 0.786. Among 30 chronic diseases, the unadjusted mean SF-6D scores of patients with cognitive disorder (0.607) were the lowest, followed by congestive heart failure (0.629), rheumatoid arthritis (0.654), and lung cancer (0.662). After controlling for demographic variables (ie, age, sex) and comorbidities, cognitive disorders (-0.116), mood disorders (-0.099), rheumatoid arthritis (-0.090), liver cancer (-0.078), and stroke (-0.063) showed the highest decrements in the SF-6D scores (P < .05).

CONCLUSIONS

This study provides a nationally representative catalog of utility weights for major chronic diseases in the US general population. The utility decrements will enable researchers to calculate the health utilities of patients with multiple comorbid diseases.

National trends in prescription proton pump inhibitor use and expenditure in the United States in 2002-2017

OBJECTIVES

In the United States, proton pump inhibitors (PPIs) are one of the most commonly prescribed classes of drugs, but contemporary data on national-level utilization patterns for PPI use are limited. This study examined the trends in prescription PPI use and expenditures, overall and by patient subgroups, and identified predictors of PPI use.

METHODS

Prescription PPI use was identified from the 2002-2017 Medical Expenditure Panel Survey data using the brand and generic names. Trends in PPI use were examined overall and by patients' sociodemographic characteristics and disease status. Trends in brand and generic PPI users and total and average PPI expenditures were also examined. A multivariable model was used to identify patient factors associated with PPI use.

RESULTS

The overall proportion of PPI users increased from 5.70% in 2002-2003 to 6.73% in 2016-2017 (P value = 0.011). Increased trends in PPI use were observed among U.S. adults aged 65 years and older, both males and females, non-Hispanic whites, non-Hispanic blacks, Hispanics, Asians, in all 4 geographic regions, with public health insurance, and those who were obese (all P value < 0.05). Whereas PPI use increased significantly, the average PPI expenditure per patient decreased significantly. Multivariable results found that participants who were aged 25 years or older, were female, were non-Hispanic whites, resided in the Northeast, had higher incomes, had public or private health insurance, were obese, were married had a higher likelihood of using PPIs.

CONCLUSION

Increased PPI use was observed among most of the patient subgroups. Understanding the utilization patterns of PPIs could help practitioners identify potential treatment disparities and monitor the safety of PPI use.

Analysis of Blood Glucose Distribution Characteristics and Its Risk Factors among a Health Examination Population in Wuhu (China)

Background: Diabetes mellitus (DM) and Impaired Fasting Glucose (IFG) represent serious threats to human health, and as a result, this study was aimed at understanding the blood glucose distribution characteristics and the risk factors among a large health examination population in China. Methods: An investigation with physical and biochemical examinations and questionnaires was conducted in the physical examination center from 2011 to 2014 and as a result 175,122 physical examination attendees were enrolled in this study. Multivariate logistic regression was used to explore the factors influencing blood sugar levels. Results: The rates of IFG and DM were 6.0% and 3.8%. Prevalence were 7.6%/5.1% in males and 5.1%/2.8% in females for IFG and DM, respectively. The prevalence of IFG and DM were thus higher in males than in females. In the normal group, except high density lipoprotein (HDL) that was significantly higher than in the IFG and DM group, the other indexes (age, body mass index (BMI), glucose (Glu), total cholesterol (TC) and total glycerides (TG) were lower than those in the IFG and DM group. The proportion of IFG and DM also increased with the increases in proportion of abnormal blood pressure, smoking and alcohol consumption. Multivariate logistic regression analysis showed that increasing age, high BMI, high TC, high TG and low HDL increased the risk of diabetes, while in males, in addition to the above factors, the smoking and drinking factors also increased the risk of diabetes. After the age of 65, the blood glucose level reached a peak in males, while in females, the increasing trends was on the rise. The inflexion age of the fast rise was younger in males than in females. Conclusion: The study population showed a high prevalence of DM and IFG among the adults. Regular physical examination for the early detection of diabetes is recommended in the high-risk population.