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Relationships among medication adherence, lifestyle modification, and health-related quality of life in patients with acute myocardial infarction: a cross-sectional study.

ABSTRACT: The healthy adherer effect is a phenomenon in which patients who adhere to medical therapies tend to pursue health-seeking behaviors. Although the healthy adherer effect is supposed to affect health outcomes in patients with coronary artery disease, evaluation of its presence and extent is not easy. This study aimed to assess the relationship between medication adherence and lifestyle modifications and health-related quality of life among post-acute myocardial infarction (AMI) patients.A cross-sectional study was conducted in 417 post-AMI patients who underwent percutaneous coronary intervention (PCI). Patients were recruited from 11 university hospitals from December 2015 to March 2016 in South Korea. Details regarding socio-demographic factors, six health behaviors (low-salt intake, low-fat diet and/or weight-loss diet, regular exercise, stress reduction in daily life, drinking in moderation, and smoking cessation), medication adherence using the Modified Morisky Scale (MMS), and HRQoL using the Coronary Revascularization Outcome Questionnaire (CROQ) were surveyed in a one-on-one interview.In the univariate logistic analysis, sex (female), age (?70 years), MMS score (?5), and CROQ score were associated with adherence to lifestyle modification. In the multiple logistic analysis, a high MMS score (?5) was associated with adherence to lifestyle modification after adjusting for sex, age, marital status, education, and family income (adjusted odds ratio [OR]?=?11.7, 95% confidence interval [CI]?=?1.5-91.3). After further adjusting for the CROQ score, the association between high MMS score and adherence to lifestyle modification was significant (adjusted OR?=?11.5, 95% CI?=?1.4-93.3).Adherence to medication was associated with adherence to lifestyle modification, suggesting the possible presence of the healthy adherer effect in post-AMI patients. After further adjusting for HRQoL, the association remained. To improve health outcome in post-AMI patients, early detection of patients with poor adherence to medication and lifestyle modification and motivational education programs to improve adherence are important. In addition, the healthy adherer effect should be considered in clinical research, in particular, in studies evaluating the effects of therapies on health outcomes.

SUBMITTER: Lee YM

PROVIDER: S-EPMC5964665 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Relationships among medication adherence, lifestyle modification, and health-related quality of life in patients with acute myocardial infarction: a cross-sectional study.

Lee Yu-Mi YM Kim Rock Bum RB Lee Hey Jean HJ Kim Keonyeop K Shin Min-Ho MH Park Hyeung-Keun HK Ahn Soon-Ki SK Kim So Young SY Lee Young-Hoon YH Kim Byoung-Gwon BG Lee Heeyoung H Lee Won Kyung WK Lee Kun Sei KS Kim Mi-Ji MJ Park Ki-Soo KS

Health and quality of life outcomes 20180522 1

<h4>Background</h4>The healthy adherer effect is a phenomenon in which patients who adhere to medical therapies tend to pursue health-seeking behaviors. Although the healthy adherer effect is supposed to affect health outcomes in patients with coronary artery disease, evaluation of its presence and extent is not easy. This study aimed to assess the relationship between medication adherence and lifestyle modifications and health-related quality of life among post-acute myocardial infarction (AMI) ...[more]

PMID: 29788961

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Project description:Medication non-adherence is a major impediment to the management of cardiovascular disease risk factors. A better understanding of the modifying factors underlying medication non-adherence among individuals with known cardiovascular disease may inform approaches for addressing non-adherence.The purpose of this study was to identify demographic and patient characteristics, medical comorbidities, psychosocial factors, and health belief-related factors associated with medication non-adherence among patients with known cardiovascular disease.We performed secondary analysis of baseline data from a randomized trial.The study included 405 patients with a diagnosis of hypertension and history of acute myocardial infarction that was diagnosed within a three-year period prior to enrollment.Baseline demographics and patient characteristics, medical comorbidities, psychosocial factors, health belief-related factors, and patient-reported medication non-adherence were analyzed.Of 405 patients, 173 (42.7 %) reported medication non-adherence. Factors associated with non-adherence in bivariate analysis included younger age, non-white race, having less than 12 years of education, smoking, financial insecurity, identifying as nervous or tense, higher life chaos score, greater worry about having a myocardial infarction, and greater worry about having a stroke. Using multivariable modeling, we determined that age (OR 0.97 per additional year, 95 % CI, 0.95-0.99), life chaos (OR 1.06 per additional point, 95 % CI, 1.00-1.11), and worry about stroke (OR 1.12 per additional point, 95 % CI, 1.01-1.25) remained significantly associated with self-reported medication non-adherence.We found that worry about having a stroke, higher life chaos, and younger age were all significantly associated with self-reported medication non-adherence in patients with cardiovascular disease and a history of myocardial infarction. Further research exploring these factors as targets for intervention is needed, as is additional research examining modifiable causes of medication non-adherence among patients with cardiovascular disease.

Project description:Background Evidence-based medication adherence rates after a myocardial infarction are low. We hypothesized that 90-day prescriptions are underused and may lead to higher evidence-based medication adherence compared with 30-day fills. Methods and Results We examined patients with myocardial infarction treated with percutaneous coronary intervention between 2011 and 2015 in the National Cardiovascular Data Registry. Linking to Symphony Health pharmacy data, we described the prevalence of patients filling 30-day versus 90-day prescriptions of statins, β-blockers, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, and P2Y12 inhibitors after discharge. We compared 12-month medication adherence rates by evidence-based medication class and prescription days' supply and rates of medication switches and dosing changes. Among 353 259 patients with myocardial infarction treated with percutaneous coronary intervention, 90-day evidence-based medication fill rates were low: 13.0% (statins), 12.3% (β-blockers), 14.6% (angiotensin-converting enzyme inhibitors/angiotensin receptor blockers), and 9.7% (P2Y12 inhibitors). Patients filling 90-day prescriptions were more likely older (median 69 versus 62 years) with a history of prior myocardial infarction (25.0% versus 17.9%) or percutaneous coronary intervention (30.3% versus 19.5%; P<0.01 for all) than patients filling 30-day prescriptions. The 12-month adherence rates were higher for patients who filled 90-day versus 30-day supplies: statins, 83.1% versus 75.3%; β-blockers, 72.7% versus 62.9%; angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, 71.1% versus 60.9%; and P2Y12 inhibitors, 78.5% versus 66.6% (P<0.01 for all). Medication switches and dosing changes within 12 months were infrequent for patients filling 30-day prescriptions-14.7% and 0.3% for 30-day P2Y12 inhibitor fills versus 6.3% and 0.2% for 90-day fills, respectively. Conclusions Patients who filled 90-day prescriptions had higher adherence and infrequent medication changes within 1 year after discharge. Ninety-day prescription strategies should be encouraged to improve post-myocardial infarction medication adherence.

Project description:BackgroundThe benefits of chronic polytherapy in reducing readmissions and death after myocardial infarction (MI) have been clearly shown. However, real-world evidence shows poor medication adherence and large geographic variation, suggesting critical issues in access to optimal care. Our objectives were to measure adherence to polytherapy, to compare the amount of variation attributable to hospitals of discharge and to community-based providers, and to identify determinants of adherence to medications.MethodsThis is a population-based study. Data were obtained from the information systems of the Lazio and Tuscany Regions, Italy (9.5 million inhabitants). Patients hospitalized with incident MI in 2010-2014 were analyzed. The outcome measure was medication adherence, defined as a Medication Possession Ratio (MPR) ≥ 0.75 for at least 3 of the following drugs: antiplatelets, β-blockers, ACEI/ARBs, statins. A 2-year cohort-study was performed. Cross-classified multilevel models were applied to analyze geographic variation. The variance components attributable to hospitals of discharge and community-based providers were expressed as Median Odds Ratio (MOR).ResultsA total of 32,962 patients were enrolled. About 63% of patients in the Lazio cohort and 59% of the Tuscan cohort were adherent to chronic polytherapy. Women and patients aged 85 years and over were most at risk of non-adherence. In both regions, adherence was higher for patients discharged from cardiology wards (Lazio: OR = 1.58, p < 0.001, Tuscany: OR = 1.59, p < 0.001) and for patients with a percutaneous coronary intervention during the index admission. Relevant variation between community-based providers was observed, though when the hospital of discharge was included as a cross-classified level, in both Lazio and Tuscany regions the variation attributable to hospitals of discharge was the only significant component (Lazio: MOR = 1.30, p = 0.001; Tuscany: MOR = 1.31, p = 0.001).ConclusionAdherence to best practice treatments after MI is not consistent with clinical guidelines, and varies between patient groups as well as within and between regions. The variation attributable to providers is affected by the hospital of discharge, up to two years from the acute episode. This variation is likely to be attributable to hospital discharge processes, and could be reduced through appropriate policy levers.

Project description:This study used untargeted proteomics to compare blood proteomic profiles in two groups of adults that differed widely in lifestyle habits. The goal was to identify a core list of proteins that were either upregulated or downregulated based on adherence to recommended lifestyle habits in adults. A total of 52 subjects in the lifestyle group (LIFE) (28 males, 24 females) and 52 in the control group (CON) (27 males, 25 females) participated in this cross-sectional study. Age, education level, marital status, and height did not differ significantly between LIFE and CON groups. The LIFE and CON groups differed markedly in body composition and fat mass-related anthropometric measurements including waist circumference, body mass index (BMI), sagittal abdominal diameter (SAD), and body composition (body fat percentage and fat mass index or FMI) (p<0.001). LIFE and CON groups were also widely disparate in physical activity patterns and maximal aerobic fitness, dietary intake patterns, disease risk factor prevalence, blood measures of inflammation, triglycerides, HDL-cholesterol, glucose, and insulin, weight-adjusted leg/back and handgrip strength, and mood states. The proteomics analysis showed strong group differences for 39 of 725 proteins identified in the dried blood spot samples. Of these, 18 were downregulated in the LIFE group and collectively indicated a lower innate immune activation signature. A total of 21 proteins were upregulated in the LIFE group and supported greater lipoprotein metabolism and HDL remodeling. Lifestyle-related habits and biomarkers were probed and the variance (>50%) in downregulated and upregulated proteins was best explained by group contrasts in indicators of body composition and visceral fat including FMI and SAD. This cross-sectional study established that a relatively small number of upregulated and downregulated proteins are associated with good lifestyle habits. A targeted “lifestyle” proteomic panel based on these data could be used in future studies to determine the efficacy of various prevention and treatment strategies.

Dataset Information

Relationships among medication adherence, lifestyle modification, and health-related quality of life in patients with acute myocardial infarction: a cross-sectional study.

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Relationships among medication adherence, lifestyle modification, and health-related quality of life in patients with acute myocardial infarction: a cross-sectional study.

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