Adherence to treatment and related factors among patients with chronic conditions in primary care: a cross-sectional study.

BACKGROUND: Adherence to treatment, a public health issue, is of particular importance in chronic disease therapies. Primary care practices offer ideal venues for the effective care and management of these conditions. The aim of this study is to assess adherence to treatment and related-factors among patients with chronic conditions in primary care settings. METHODS: A cross-sectional study was conducted among 299 adult patients with ≥1 chronic condition(s) and prescribed medication in primary healthcare centers of Spain. The Morisky-Green-Levine questionnaire was used to assess medication adherence via face-to-face interviews. Crude and adjusted multivariable logistic regression models were used to analyze factors associated with adherence using the Multidimensional Model proposed by the World Health Organization - social and economic, healthcare team and system-related, condition-related, therapy-related, and patient-related factors. RESULTS: The proportion of adherent patients to treatment was 55.5%. Older age (adjusted odds ratio 1.31 per 10-year increment, 95% CI 1.01-1.70), lower number of pharmacies used for medication refills (0.65, 95% CI 0.47-0.90), having received complete treatment information (3.89, 95% CI 2.09-7.21), having adequate knowledge about medication regimen (4.17, 95% CI 2.23-7.80), and self-perception of a good quality of life (2.17, 95% CI 1.18-4.02) were independent factors associated with adherence. CONCLUSIONS: Adherence to treatment for chronic conditions remained low in primary care. Optimal achievement of appropriate levels of adherence through tailored multifaceted interventions will require attention to the multidimensional factors found in this study, particularly those related to patients' education and their information needs.

Medication adherence and barriers among low-income, uninsured patients with multiple chronic conditions.

BACKGROUND: Poor adherence to long-term therapies is a public health concern that affects all populations. Little is known about the context of adherence in chronic diseases for the uninsured population in the United States. OBJECTIVE: To evaluate medication adherence and barriers among low-income, uninsured adults recently initiating new therapy for a chronic disease. METHODS: A cross-sectional study in two Community Health Centers located in Chatham County, Georgia, was performed between September and December 2015. Patients, randomly selected for inclusion in the study, were eligible if they had been prescribed medication for 2 or more chronic conditions and had recently started a new medication regimen. The Morisky-Green-Levine questionnaire was used to assess adherence. Potential barriers were analyzed using the Multidimensional Model proposed by the World Health Organization-social and economic, healthcare team and system-related, condition-related, therapy-related, and patient-related factors. Multivariate logistic regression models were used to analyze factors associated with non-adherence. RESULTS: A total of 150 participants were interviewed at 6 months after treatment initiation. Non-adherence was reported by 52% of the participants. Higher adjusted odds of non-adherence were observed in participants who did not receive information about their medications (adjusted odds ratio [AOR] = 2.40, 95% confidence interval [CI] = 1.01-5.74), did not regularly visit a primary health-care provider (AOR = 2.74, 95% CI = 1.09-6.88), and had changes in their treatment (AOR = 3.75, 95% CI = 1.62-8.70). Alternatively, adjusted odds of non-adherence were lower for patients who reported using pillboxes (AOR = 0.31, 95% CI = 0.10-0.95), having help from a caregiver (AOR = 0.15, 95% CI = 0.04-0.60), and integrating medication dosing into daily routines (AOR = 0.18, 95% CI = 0.06-0.59). CONCLUSIONS: Medication non-adherence was common among low-income, uninsured patients initiating therapy for chronic conditions. Several modifiable barriers highlight opportunities to address medication non-adherence through multidisciplinary interventions.

Contributions of cardiovascular mortality to Spanish life expectancy from 1980 to 2009.

INTRODUCTION AND OBJECTIVES: This article describes the contribution of the decrease in cardiovascular mortality to the increase in life expectancy at birth in Spain from 1980 to 2009. We explain the demographic factors underlying the decrease in mortality from cardiovascular diseases at older ages and the effect of this decrease on lifespan. METHODS: The contribution of these decreases to Spanish life expectancy at birth was calculated using decomposition methods for life expectancy. We calculated standardized mortality rates by sex and 3 causes of death (cerebrovascular disease, ischemic heart disease, and other heart disease) for 3 age groups: 65 to 79 years, 80 to 89 years, and ≥ 90 years. RESULTS: From 1980 to 2009, life expectancy at birth in Spain increased by more than 6 years for both sexes. The contribution of the decrease in cardiovascular mortality to the total increase in life expectancy at birth was 63% among women and 53% among men. Among the ≥ 65-year-old age group, this contribution was 93% among women and 87% among men. CONCLUSIONS: The decrease in cardiovascular mortality, mainly at older ages, has been the main contributor to increased Spanish life expectancy at birth during the last 3 decades.

Contribuciones de la mortalidad cardiovascular a la esperanza de vida de la población española de 1980 a 2009 / Contributions of cardiovascular mortality to spanish life expectancy from 1980 to 2009

Introducción y objetivos. Este trabajo expone las contribuciones que la mejora en la mortalidad cardiovascular ha tenido en el aumento de la esperanza de vida al nacimiento en España de 1980 a 2009. Se explican las razones demográficas del descenso de la mortalidad por enfermedades cardiovasculares en las edades avanzadas y su efecto en la duración de la vida. Métodos. Las contribuciones a la esperanza de vida se calculan mediante el método de descomposición de la mortalidad. Para explicarlo, se calculan tasas estandarizadas de mortalidad por sexo y tres causas de muerte (enfermedades cerebrovasculares, cardiopatía isquémica y otras enfermedades del corazón) para tres grupos etarios: 65-79, 80-89 y 90 o más años. Resultados. La esperanza de vida al nacimiento de la población española aumenta más de 6 años para ambos sexos de 1980 a 2009. El descenso de la mortalidad de las enfermedades cardiovasculares contribuye a ese aumento en un 63% entre las mujeres y un 53% entre los varones. En las edades ≥ 65 años, la contribución es del 93 y el 87% del total respectivamente. Conclusiones. El descenso de la mortalidad cardiovascular se torna el principal contribuyente a la esperanza de vida española en las últimas tres décadas, principalmente en las edades avanzadas (AU)

Introduction and objectives. This article describes the contribution of the decrease in cardiovascular mortality to the increase in life expectancy at birth in Spain from 1980 to 2009. We explain the demographic factors underlying the decrease in mortality from cardiovascular diseases at older ages and the effect of this decrease on lifespan. Methods. The contribution of these decreases to Spanish life expectancy at birth was calculated using decomposition methods for life expectancy. We calculated standardized mortality rates by sex and 3 causes of death (cerebrovascular disease, ischemic heart disease, and other heart disease) for 3 age groups: 65 to 79 years, 80 to 89 years, and >=90 years. Results. From 1980 to 2009, life expectancy at birth in Spain increased by more than 6 years for both sexes. The contribution of the decrease in cardiovascular mortality to the total increase in life expectancy at birth was 63% among women and 53% among men. Among the ≥65-year-old age group, this contribution was 93% among women and 87% among men. Conclusions. The decrease in cardiovascular mortality, mainly at older ages, has been the main contributor to increased Spanish life expectancy at birth during the last 3 decades (AU)