The Health of Older Americans: A Primer on Medicare and a Local Perspective

Seniors don't use Medicare.Gov: how do eligible beneficiaries obtain information about Medicare Advantage Plans in the United States?

BACKGROUND

Managed care programs in the US are becoming a preferred alternative among low-income individuals in the US. Every year during open enrollment, seniors can enroll in Medicare Advantage (MA) or switch MA plans. However, there is very limited information about how seniors obtain information to help them make their choices. While the Centers for Medicaid and Medicare offer online resources that are designed to enable potential beneficiaries to make informed coverage decisions, there is no information as to whether seniors use these resources, and therefore whether these resources are effective compared to other information retrieval methods.

METHODS

The purpose of the present study was to qualitatively explore how seniors obtain information about insurance plans in MA. We conducted semi-structured interviews with 26 MA beneficiaries from Rhode Island.

RESULTS

We found that most seniors have strong preferences for obtaining information in-person regarding benefits, cost and other plan information. Some seniors relied heavily on insurance brokers or representatives, and considered the information provided to them without questioning the potential for bias. Others consulted with family and/or friends for guidance, or to compare costs and benefits. Only a few of these seniors used the available internet resources, and in fact most of them mentioned that they did not have a computer/smart device with internet capabilities. However, among those who used and appeared to be comfortable with navigating the internet, www.medicare.gov was not discussed as a useful resource for making decisions regarding health insurance.

CONCLUSIONS

This study suggests that existing online medical resource usage and effects among senior citizens in the United States may need supplementing with in-person communication among influential agents.

Association between age and readmission after percutaneous coronary intervention for acute myocardial infarction

OBJECTIVE

This study aimed to investigate the association between age and the risk of 30-day unplanned readmission among adult patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI).

METHODS

This retrospective analysis included patients from the Nationwide Readmissions Database with AMI who underwent PCI during 2013-2014. We used multivariable logistic regression model to calculate adjusted odds ratios (AORs) for risk of readmission. To examine potential non-linear association, we performed logistic regression with restricted cubic splines (RCS).

RESULTS

Of the 492 550 patients with AMI aged above 18 years undergoing PCI during the index hospitalisation, 48 630 (9.87%) were readmitted within 30 days. Although the crude readmission rate of younger patients (aged 18-54 years) was the lowest (7.27%), younger patients had higher risk of readmission compared with patients aged 55-64 years for all-causes (AOR 1.06 (1.01 to 1.11), p=0.0129) and specific causes, such as AMI and chest pain (both cardiac and non-specific) after adjusted for covariates. Patients aged 65-74 years were at lower risk of all-cause readmission. Older patients (age ≥75 years) had higher risk of readmission for heart failure (AOR 1.50 (1.29 to 1.74)) and infection (AOR 1.44 (1.16 to 1.79)), but lower risk for chest pain. RCS analyses showed a U-shaped relationship between age and readmission risk.

CONCLUSIONS

Our results suggest higher risk of readmission in younger patients for all-cause unplanned readmission after adjusted for covariates. The trends of readmission risk along with age were different for specific causes. Age-targeted initiatives are warranted to reduce preventable readmissions in patients with AMI undergoing PCI.

Cost-Related Medication Nonadherence Among Older Adults: Findings From a Nationally Representative Sample

OBJECTIVES

To estimate the rate of and risk factors associated with cost-related medication nonadherence among older adults.

DESIGN

Cross-sectional analysis of the 2017 National Health Interview Survey (NHIS).

SETTING

Nationally representative health interview survey in the United States.

PARTICIPANTS

Survey respondents, aged 65 years or older (n = 5701 unweighted) in the 2017 wave of the NHIS.

MEASUREMENTS

Self-reported, cost-related medication nonadherence (due to cost: skip dose, reduce dose, or delay or not fill a prescription) and actions taken due to cost-related medication nonadherence (ask for lower-cost prescription, use alternative therapy, or buy medications from another country) were quantified. We used a series of multivariable logistic regression analyses to identify factors associated with cost-related medication nonadherence. We also reported analyses by chronic disease subgroups.

RESULTS

In 2017, 408 (6.8%) of 5901 older adults, representative of 2.7 million older adults nationally, reported cost-related medication nonadherence. Among those with cost-related medication nonadherence, 44.2% asked a physician for lower-cost medications, 11.5% used alternative therapies, and 5.3% bought prescription drugs outside the United States to save money. Correlates independently associated with a higher likelihood of cost-related medication nonadherence included: younger age, female sex, lower socioeconomic levels (eg, low income and uninsured), mental distress, functional limitations, multimorbidities, and obesity (P < .05 for all). Similar patterns were found in subgroup analyses.

CONCLUSION

Cost-related medication nonadherence among older adults is increasingly common, with several potentially modifiable risk factors identified. Interventions, such as medication therapy management, may be needed to reduce cost-related medication nonadherence in older adults. J Am Geriatr Soc 67:2463-2473, 2019.

Age trends in 30 day hospital readmissions: US national retrospective analysis

OBJECTIVE

To assess trends in and risk factors for readmission to hospital across the age continuum.

DESIGN

Retrospective analysis.

SETTING AND PARTICIPANTS

31 729 762 index hospital admissions for all conditions in 2013 from the US Agency for Healthcare Research and Quality Nationwide Readmissions Database.

MAIN OUTCOME MEASURE

30 day, all cause, unplanned hospital readmissions. Odds of readmission were compared by patients' age in one year epochs with logistic regression, accounting for sex, payer, length of stay, discharge disposition, number of chronic conditions, reason for and severity of admission, and data clustering by hospital. The middle (45 years) of the age range (0-90+ years) was selected as the age reference group.

RESULTS

The 30 day unplanned readmission rate following all US index admissions was 11.6% (n=3 678 018). Referenced by patients aged 45 years, the adjusted odds ratio for readmission increased between ages 16 and 20 years (from 0.70 (95% confidence interval 0.68 to 0.71) to 1.04 (1.02 to 1.06)), remained elevated between ages 21 and 44 years (range 1.02 (1.00 to 1.03) to 1.12 (1.10 to 1.14)), steadily decreased between ages 46 and 64 years (range 1.02 (1.00 to 1.04) to 0.91 (0.90 to 0.93)), and decreased abruptly at age 65 years (0.78 (0.77 to 0.79)), after which the odds remained relatively constant with advancing age. Across all ages, multiple chronic conditions were associated with the highest adjusted odds of readmission (for example, 3.67 (3.64 to 3.69) for six or more versus no chronic conditions). Among children, young adults, and middle aged adults, mental health was one of the most common reasons for index admissions that had high adjusted readmission rates (≥75th centile).

CONCLUSIONS

The likelihood of readmission was elevated for children transitioning to adulthood, children and younger adults with mental health disorders, and patients of all ages with multiple chronic conditions. Further attention to the measurement and causes of readmission and opportunities for its reduction in these groups is warranted.