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      Survival in relation to multimorbidity patterns in older adults in primary care in Barcelona, Spain (2010–2014): a longitudinal study based on electronic health records

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          Abstract

          Background

          Several studies have analysed the characteristics of multimorbidity patterns but none have evaluated the relationship with survival. The purpose of this study was to compare survival across older adults with different chronic multimorbidity patterns (CMPs).

          Methods

          Prospective longitudinal observational study using electronic health records for 190 108 people aged ≥65 years in Barcelona, Spain (2009–2014). CMPs were identified by cluster analysis. Mortality rates were estimated using the Catalan population structure and individual time at risk. Survival according to CMP (Cox regression) was analysed using hazard ratios (HRs) and 95% confidence intervals (CIs) with stratification by sex and age group (65–79, 80–94) and adjustment for age at onset, deprivation index, number of chronic conditions and invoiced drugs.

          Results

          The highest mortality rates were observed in men, adults aged 80–94 years, socially disadvantaged quintiles and people prescribed more drugs and with fewer conditions. Using the musculoskeletal pattern as the reference category, men with the digestive-respiratory pattern had a higher risk of death, with adjusted HRs of 6.16 (95% CI 5.37 to 7.06) in the 65–79 age group and 2.62 (95% CI 2.31 to 2.97) in the 80–94 age group. In women, the cardiovascular pattern was associated with the highest risk, with adjusted HRs of 6.34 (95% CI 5.28 to 7.61) in the 65–79 age group and 3.05 (95% CI 2.73 to 3.41) in the 80–94 age group. These patterns were also associated with the highest mortality rates.

          Conclusions

          Mortality and survival vary according to CMPs in older adults stratified by sex and age. Our findings are useful for guiding the design and implementation of clinical management strategies.

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          Most cited references15

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          Monitoring and surveillance of chronic non-communicable diseases: progress and capacity in high-burden countries.

          The burden of chronic, non-communicable diseases in low-income and middle-income countries is increasing. We outline a framework for monitoring of such diseases and review the mortality burden and the capacity of countries to respond to them. We show data from WHO data sources and published work for prevalence of tobacco use, overweight, and cause-specific mortality in 23 low-income and middle-income countries with a high burden of non-communicable disease. Data for national capacity for chronic disease prevention and control were generated from a global assessment that was done in WHO member states in 2009-10. Although reliable data for cause-specific mortality are scarce, non-communicable diseases were estimated to be responsible for 23·4 million (or 64% of the total) deaths in the 23 countries that we analysed, with 47% occurring in people who were younger than 70 years. Tobacco use and overweight are common in most of the countries and populations we examined, but coverage of cost-effective interventions to reduce these risk factors is low. Capacity for prevention and control of non-communicable diseases, including monitoring and surveillance operations nationally, is inadequate. A surveillance framework, including a minimum set of indicators covering exposures and outcomes, is essential for policy development and assessment and for monitoring of trends in disease. Technical, human, and fiscal resource constraints are major impediments to the establishment of effective prevention and control programmes. Despite increasing awareness and commitment to address chronic disease, concrete actions by global partners to plan and implement cost-effective interventions are inadequate. Copyright © 2010 Elsevier Ltd. All rights reserved.
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            Multimorbidity and the inequalities of global ageing: a cross-sectional study of 28 countries using the World Health Surveys

            Background Multimorbidity defined as the “the coexistence of two or more chronic diseases” in one individual, is increasing in prevalence globally. The aim of this study is to compare the prevalence of multimorbidity across low and middle-income countries (LMICs), and to investigate patterns by age and education, as a proxy for socio-economic status (SES). Methods Chronic disease data from 28 countries of the World Health Survey (2003) were extracted and inter-country socio-economic differences were examined by gross domestic product (GDP). Regression analyses were applied to examine associations of education with multimorbidity by region adjusted for age and sex distributions. Results The mean world standardized multimorbidity prevalence for LMICs was 7.8 % (95 % CI, 7.79 % - 7.83 %). In all countries, multimorbidity increased significantly with age. A positive but non–linear relationship was found between country GDP and multimorbidity prevalence. Trend analyses of multimorbidity by education suggest that there are intergenerational differences, with a more inverse education gradient for younger adults compared to older adults. Higher education was significantly associated with a decreased risk of multimorbidity in the all-region analyses. Conclusions Multimorbidity is a global phenomenon, not just affecting older adults in HICs. Policy makers worldwide need to address these health inequalities, and support the complex service needs of a growing multimorbid population. Electronic supplementary material The online version of this article (doi:10.1186/s12889-015-2008-7) contains supplementary material, which is available to authorized users.
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              Defining chronic conditions for primary care with ICPC-2.

              With the increasing prevalence of chronic conditions, there is need for a standardized definition of chronicity for use in research, to evaluate the population prevalence and general practice management of chronic conditions. Our aims were to determine the characteristics required to define chronicity, apply them to a primary care classification and provide a defined codeset of chronic conditions. A literature review evaluated characteristics used to define chronic conditions. The final set of characteristics was applied to the International Classification of Primary Care-Version 2 (ICPC-2) through more specific terms available in ICPC-2 PLUS, an extended terminology classified to ICPC-2. A set of ICPC-2 rubrics was delineated as representing chronic conditions. Factors found to be relevant to a definition of chronic conditions for research were: duration; prognosis; pattern; and sequelae. Within ICPC-2, 129 rubrics were described as 'chronic', and another 20 rubrics had elements of chronicity. Duration was the criterion most frequently satisfied (98.4% of chronic rubrics), while 88.2% of rubrics met at least three of the four criteria. Monitoring the prevalence and management of chronic conditions is of increasing importance. This study provided evidence for multifaceted definitions of chronicity. While all characteristics examined could be used by those interested in chronicity, the list has been designed to identify chronic conditions managed in Australian general practice, and is therefore not a nomenclature of all chronic conditions. Subsequent analysis of chronic conditions using pre-existing data sets will provide a baseline measure of chronic condition prevalence and management in general practice.
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                Author and article information

                Journal
                Journal of Epidemiology and Community Health
                J Epidemiol Community Health
                BMJ
                0143-005X
                1470-2738
                February 12 2018
                March 2018
                March 2018
                January 12 2018
                : 72
                : 3
                : 185-192
                Article
                10.1136/jech-2017-209984
                29330165
                64219158-2de3-4111-9e9f-797bd060387a
                © 2018
                History

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