Age-specific differences in patient reported outcomes among adults with atherosclerotic cardiovascular disease: Medical expenditure panel survey 2006-2015

Number of comorbidities and the risk of delay in seeking treatment for coronary heart disease: a longitudinal study in Bogor City, Indonesia

BACKGROUND

The aim of this study was to investigate the relationship between the number of patient comorbidities and the delays in seeking treatment for coronary heart disease (CHD).

METHODS

This longitudinal study utilized secondary data from the Non-Communicable Disease Risk Factor (NCDRF) cohort study conducted in Bogor City. Individuals who participated in the NCDRF cohort study and were diagnosed with CHD within the 6-year study period met the inclusion criteria. Respondents who were not continuously monitored up to the 6th year were excluded. The final sample included data from respondents with CHD who participated in the NCDRF cohort study and were monitored for the full 6-year duration. The final logistic regression analysis was conducted on data collected from 812 participants.

RESULTS

Among the participants with CHD, 702 out of 812 exhibited a delay in seeking treatment. The risk of a delay in seeking treatment was significantly higher among individuals without comorbidities, with an odds ratio (OR) of 3.5 (95% confidence interval [CI], 1.735-7.036; p<0.001). Among those with a single comorbidity, the risk of delay in seeking treatment was still notable (OR, 2.6; 95% CI, 1.259-5.418; p=0.010) when compared to those with 2 or more comorbidities. These odds were adjusted for age, sex, education level, and health insurance status.

CONCLUSION

The proportion of patients with CHD who delayed seeking treatment was high, particularly among individuals with no comorbidities. Low levels of comorbidity also appeared to correlate with a greater tendency to delay in seeking treatment.

Adherence of those With Self-Reported Glaucoma in the United States to Eye Examination Visits

PRCIS

The adherence of American patients with self-reported glaucoma to the follow-up recommendations is extremely low. Estimated adherence rate is lower than that obtained by previous studies that did not use a US nationally representative sample.

PURPOSE

To evaluate adherence to ophthalmic outpatient follow-up visits and vision examinations in the American population aged 40 years or above.

METHODS

The percentage of American patients aged≥40 years who adhered to glaucoma treatment guidelines was estimated using 2015-2019 Medical Expenditure Panel Survey (MEPS) data. Adherence was defined according to the International Council of Ophthalmology guidelines. We also compared individuals with and without self-reported glaucoma who have made at least one ophthalmic outpatient visit and at least 1 vision examination visit within a year. Differences in means and percentages were estimated to account for the covariance due to the complex sampling design.

RESULTS

Approximately 4.4 million people aged or above 40 years had self-reported glaucoma in 2019 (3.21%). The rate of prevalence significantly differed with race, with Black people having the highest prevalence in all studied years. Only 7.1% (95% CI: 0.049-0.102) and 2.67% (95% CI: 0.0137-0.0519) of this population underwent at least 1 ophthalmic outpatient examination or 1 vision examination per year. Older age, never married status, higher education, eye conditions, and diabetes were significantly associated with a higher probability of ophthalmic health care use.

CONCLUSIONS

Adherence to follow-up among patients with self-reported glaucoma in this population-level study was lower than that in previously reported American, non-nationally representative studies. Barriers to adherence at the population level should be assessed to inform the design of future policy or program interventions.

Income disparity and utilization of cardiovascular preventive care services among U.S. adults

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Low income individuals are less likely to receive smoking cessation counseling.

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Low income individuals are less likely to have their blood pressure checked.

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Low income individuals are less likely to be receive exercise counseling.

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Low income individuals are less likely to receive dietary counseling.

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Low income individuals are less likely to have their cholesterol levels checked.

Objective

: Associations between income disparity and utilization of cardiovascular disease (CVD) preventive care services, such as receipt of lifestyle advice and screening for CVD risk factors in populations with and without CVD, are not well understood. The purpose of this study was to evaluate associations between income and utilization of CVD-preventive services among U.S. adults.

Methods

: We included adults ≥18 years with and without CVD from the 2006 to 2015 Medical Expenditure Panel Survey. We categorized participants as high-income (>400% of federal poverty level [FPL]), middle income (200–400% of FPL), low-income (125–200% of FPL) and very low (VL)-income (<125% of FPL). We used logistic regression to compare the likelihood of receiving CVD-preventive services by income strata, adjusting for sociodemographic factors and comorbidities.

Results

: The study included 185,081 participants (representing 194.6 million U.S. adults) without CVD, and 32,862 participants (representing 37 million U.S. adults) with CVD. VL-income adults without CVD were less likely than high-income adults to have blood pressure measured within past 2 years [odds ratio [OR] 0.41 (95% confidence interval [CI] 0.37–0.45)] or cholesterol levels checked within past 5 years [0.36 (0.33–0.38)] or receive counseling about diet modifications [0.77 (0.74–0.81)], exercise [0.81 (0.77–0.85)], or smoking cessation [0.71 (0.63–0.79)] within past year. VL-income adults with CVD were also less likely to have blood pressure [0.32 (0.22–0.46)] or cholesterol [0.33 (0.26–0.42)] checked and receive counseling about exercise [0.84 (0.76–0.93)] or smoking cessation [0.78 (0.61–0.99)]. Additional subgroup analyses restricted to participants who had seen a healthcare provider within the preceding 12 months, as well as secondary analyses stratified by sex, race and ethnicity, showed similar disparities between high-income and VL-income participants.

Conclusions

: VL-income adults were less likely to be screened for CVD risk factors or receive CVD-prevention counseling than high-income adults, regardless of CVD status. More work must be done to reduce disparities in access to and utilization of CVD-preventive services among adults in different income groups.