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Association between perceived life chaos and medication adherence in a postmyocardial infarction population
Leah L Zullig1, Ryan J Shaw, Matthew J Crowley
1Center for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC.
Insights
Life chaos significantly impacts medication adherence in cardiovascular disease patients. Screening for life chaos can help identify individuals at risk of not taking their medications as prescribed.
Area of Science:
- Cardiology
- Psychiatry
- Public Health
Background:
- Cardiovascular disease (CVD) management relies on medication adherence, yet nonadherence is prevalent.
- The impact of life chaos on medication adherence remains largely unexplored.
- This study investigates the association between life chaos and nonadherence to CVD medications.
Purpose of the Study:
- To assess the relationship between life chaos and nonadherence to cardiovascular disease medications.
- To identify patient factors associated with life chaos.
- To evaluate an instrument designed to measure life chaos in relation to CVD medication adherence.
Main Methods:
- Utilized baseline data from a randomized trial for post-myocardial infarction (MI) management (n=406).
- Employed multivariable logistic regression to analyze the association between life chaos and CVD-medication nonadherence.
- Assessed factors including sex, race, education, health literacy, and financial status.
Main Results:
- Nearly 43% of patients reported CVD-medication nonadherence in the past month.
- Higher life chaos was associated with medication nonadherence, female sex, minority race, lower education, low health literacy, and inadequate financial status.
- A 1-unit increase in life chaos was linked to a 7% increase in the odds of medication nonadherence (OR, 1.07; 95% CI [1.02-1.12]).
Conclusions:
- Life chaos emerges as a significant determinant of medication adherence in CVD patients.
- Implementing life chaos screenings may effectively identify patients at risk for medication nonadherence.
- Addressing life chaos could be a novel strategy to improve CVD management.
Background:
The benefits of medication adherence to control cardiovascular disease (CVD) are well defined, yet multiple studies have identified poor adherence. The influence of life chaos on medication adherence is unknown. Because this is a novel application of an instrument, our preliminary objective was to understand patient factors associated with chaos. The main objective was to evaluate the extent to which an instrument designed to measure life chaos is associated with CVD-medication nonadherence.
Methods And Results:
Using baseline data from an ongoing randomized trial to improve postmyocardial infarction (MI) management, multivariable logistic regression identified the association between life chaos and CVD-medication nonadherence. Patients had hypertension and a myocardial infarction in the past 3 years (n=406). Nearly 43% reported CVD-medication nonadherence in the past month. In simple linear regression, the following were associated with higher life chaos: medication nonadherence (β=1.86; 95% confidence interval [CI], 0.96-2.76), female sex (β=1.22; 95% CI [0.22-2.24]), minority race (β=1.72; 95% CI [0.78-2.66]), having less than high school education (β=2.05; 95% CI [0.71-3.39]), low health literacy (β=2.06; 95% CI [0.86-3.26]), and inadequate financial status (β=1.93; 95% CI [0.87-3.00]). Being married (β=-2.09, 95% CI [-3.03 to -1.15]) was associated with lower life chaos. As chaos quartile increased, patients exhibited more nonadherence. In logistic regression, adjusting for sex, race, marital status, employment, education, health literacy, and financial status, a 1-unit life chaos increase was associated with a 7% increase (odds ratio, 1.07; 95% CI [1.02-1.12]) in odds of reporting medication nonadherence.
Conclusions:
Our results suggest that life chaos may be an important determinant of medication adherence. Life chaos screenings could identify those at risk for nonadherence.
Clinical Trial Registration:
URL: http://www.clinicaltrials.gov. Unique identifier: NCT000901277.
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