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Item type:Publication, The impact of lumbar scoliosis on pain, function and health-related quality of life in postmenopausal women(2011) ;Julio Urrutia ;Julio Espinosa ;Claudio Diaz-LedezmaCarlos Cabello1Scopus© Citations 13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Health-related quality of life by household income in Chile: a concentration index decomposition analysis(2022) ;Rodrigo Severino ;Manuel Espinoza<jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Health inequities have a profound impact on all dimensions of people’s lives, with invariably worse results among the most disadvantaged, transforming them into a more fragile and vulnerable population. These unfair inequalities also affect dimensions focused on subjectivity, such as health-related quality of life (HRQoL), which has been positioned, in recent decades, as an important outcome in health decision-making. The main objective of this study is to estimate socioeconomic inequality in HRQoL of Chilean by household income. </jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Secondary analysis of the National Health Survey (ENS 2016–2017, Chile). This survey includes a nationally representative, stratified, and multistage household sample of people aged 15 and above. Socioeconomic inequality in HRQoL (EQ5D) is estimated by the concentration index (CI) ranked by household income. Decomposition analysis is conducted to examine potential explanatory sociodemographic factors. </jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>The CI for household income inequality in HRQoL was -0.063. The lower the household income, the worse the HRQoL reported by in Chile. The decomposition analysis revealed that socioeconomic position contributes 75,7% to inequality in the quality of life, followed by educational level (21.8%), female gender (17.3%), and type of Health Insurance (15%), age (-19.7%) and residence (-10.8%). Less than 1% corresponds to the unexplained residual component.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Our findings suggest the existence of a disproportionate concentration of worse HRQoL in the most disadvantaged socioeconomic groups in Chile. This inequality is largely, yet not completely, associated with household income. Other significant factors associated with this inequality are education, gender, and healthcare insurance. These results suggest the need of strengthening efforts to reducing socioeconomic gaps in health outcomes in Chile, as a means to achieve social justice and equity in health and healthcare.</jats:p> </jats:sec>3Scopus© Citations 7 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Quality of life in chronic musculoskeletal symptomatic Chilean population: secondary analysis of National Health Survey 2009–2010(2020) ;Maria Jesus Mena-Iturriaga; ;Phillip S. Sizer<jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Health-related quality of life (HRQoL) is defined as the patient’s perception of their health status. HRQoL can be modified by illnesses, treatments or social and health policies. Chronic musculoskeletal pain is a modifying factor of HRQoL that leads to lower quality of life, elevated suffering and disability. Knowing HRQoL in subjects reporting chronic musculoskeletal symptoms (cMSS), like pain, discomfort or swollenness lasting more than 3 months, will provide information to health teams and organizations engaged in the Chilean health system. This study aim was to determine the relationship between HRQoL and musculoskeletal symptoms measured in three different Chilean groups: [1] without symptoms; [2] with acute symptoms; and [3] with cMSS.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>A secondary analysis of the 2009–10 Chilean National Health Survey (NHS) was executed to determine the relationship between HRQoL (measured with SF-12) in three MSS groups. The Chilean NHS considered a national, probabilistic, stratified and multistage sample of 5293 participants aged 15 and older; it was representative at the national, urban-rural and regional levels. A multivariate logistic regression model studied the relationship between cMSS and HRQoL, adjusted for age, sex, educational level and residence area as control variables (<jats:italic>p</jats:italic> < 0.05).</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Out of 5293 participants in the NHS 2009–10, 5276 subjects were included for analysis. The median age was 46 years (IQR 31–60), 59.4% women, a median of 10 years formal education (IQR 7–12) and an urban residence in 85.2% of the population of the NHS 2009–10. The observed population prevalence of people with cMSS was 42.6% (95% CI 40.4–44.9). Presence of cMSS is a risk factor for low HRQoL, exhibited both in the physical (OR 3.1 95% CI 2.7–3.5) and mental (OR 1.9 95% CI 1.6–2,) HRQoL dimensions, independent of control variables.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Physical and mental HRQoL are affected in people with cMSS, low educational level and advanced age. This is especially seen in women. This information will facilitate assessment and treatment of cMSS as a prevalent and multidimensional health problem.</jats:p> </jats:sec>Scopus© Citations 7 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 10