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Multimorbidity patterns in a primary care population aged 55 years and over.

ABSTRACT: To support the management of multimorbid patients in primary care, evidence is needed on prevalent multimorbidity patterns.To identify the common and distinctive multimorbidity patterns.Clinical data of 120480 patients (?55 years) were extracted from 158 general practices in 2002-11. Prevalence rates of multimorbidity were analyzed (overall, and for 24 chronic diseases), adjusted for practice, number of diseases and patients' registration period; differentiated between patients 55-69 and ?70 years. To investigate multimorbidity patterns, prevalence ratios (prevalence rate index-disease group divided by that in the non-index-disease group) were calculated for patients with heart failure, diabetes mellitus, migraine or dementia.Multiple membership multilevel models showed that the overall adjusted multimorbidity rate was 86% in patients with ?1 chronic condition, varying from 70% (migraine) to 98% (heart failure), 38% had ?4 chronic diseases. In patients 55-69 years, 83% had multimorbidity. Numerous significant prevalence ratios were found for disease patterns in heart failure patients, ranging from 1.2 to 7.7, highest ratio for chronic obstructive pulmonary disease-cardiac dysrhythmia. For diabetes mellitus, dementia or migraine patients highest ratios were for heart failure-visual disorder (2.1), heart failure-depression (3.9) and depression-back/neck disorder (2.1), respectively (all P-values<0.001).Multimorbidity management in general practice can be reinforced by knowledge on the clinical implications of the presence of the comprehensive disease patterns among the elderly patients, and those between 55 and 69 years. Guideline developers should be aware of the complexity of multimorbidity. As a consequence of this complexity, it is even more important to focus on what matters to a patient with multimorbidity in general practice.

SUBMITTER: Sinnige J

PROVIDER: S-EPMC4576758 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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Multimorbidity patterns in a primary care population aged 55 years and over.

Sinnige Judith J Korevaar Joke C JC Westert Gert P GP Spreeuwenberg Peter P Schellevis François G FG Braspenning Jozé C JC

Family practice 20150603 5

<h4>Background</h4>To support the management of multimorbid patients in primary care, evidence is needed on prevalent multimorbidity patterns.<h4>Objective</h4>To identify the common and distinctive multimorbidity patterns.<h4>Methods</h4>Clinical data of 120480 patients (≥55 years) were extracted from 158 general practices in 2002-11. Prevalence rates of multimorbidity were analyzed (overall, and for 24 chronic diseases), adjusted for practice, number of diseases and patients' registration peri ...[more]

PMID: 26040310

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Project description:ObjectivesMultimorbidity (MM, co-occurrence of two or more chronic conditions) and complex multimorbidity (CMM, three or more chronic conditions affecting three or more different body systems) are used in the assessment of complex healthcare needs and their impact on health outcomes. However, little is known about the impacts of MM and CMM on mortality in Australia.DesignCommunity-based prospective cohort study.SettingNew South Wales, Australia.ParticipantsPeople aged 45 years and over who completed the baseline survey of the 45 and Up Study.MeasuresBaseline survey data from the 45 and Up Study were linked with deaths registry data. Deaths that occurred within 8 years from the baseline survey date were the study outcome. Eleven self-reported chronic conditions (cancer, heart disease, diabetes, stroke, Parkinson's disease, depression/anxiety, asthma, allergic rhinitis, hypertension, thrombosis and musculoskeletal conditions) from the baseline survey were included in the MM and CMM classifications. Cox proportional hazard models were used to estimate adjusted and unadjusted 8-year mortality hazard ratios (HRs).ResultsOf 251 689 people (53% female and 54% aged ≥60 years) in the cohort, 111 084 (44.1%) were classified as having MM and 39 478 (15.7%) as having CMM. During the 8-year follow-up, there were 25 891 deaths. Cancer (34.7%) was the most prevalent chronic condition and the cardiovascular system (50.9%) was the body system most affected by a chronic condition. MM and CMM were associated with a 37% (adjusted HR 1.36, 95% CI 1.32 to 1.40) and a 22% (adjusted HR 1.22, 95% CI 1.18 to 1.25) increased risk of death, respectively. The relative impact of MM and CMM on mortality decreased as age increased.ConclusionMM and CMM were common in older Australian adults; and MM was a better predictor of all-cause mortality risk than CMM. Higher mortality risk in those aged 45-59 years indicates tailored, person-centred integrated care interventions and better access to holistic healthcare are needed for this age group.

Project description:BackgroundThere is an urgent need to elucidate the epidemiology of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) and characterize its potential impact. Investing in characterising the SARS-CoV2 will help plan and improve the response to the pandemic. Furthermore, it will help identify the most efficient ways of managing the pandemic, avoiding public health policies and interventions that may be unduly restrictive of normal activity or unnecessarily costly. This paper describes the design and reports findings of a population based epidemiological study undertaken to characterise SARS-CoV2 in Qatar using limited resources in a timely manner.MethodsAsymptomatic individuals ≥10 years registered with Qatar's publicly funded primary health provider were eligible. A stratified random sampling technique was utilized to identify the study sample. Participants were invited to an appointment where they completed a questionnaire and provided samples for polymerase chain reaction and Immunoglobulin M and G immunoassay tests. Data collected were analyzed to calculate point and period prevalence by sociodemographic, lifestyle and clinical characteristics.ResultsOf 18,918 individuals invited for the study, 2084 participated (response rate 10.8%). The overall point prevalence and period prevalence were estimated to be 1.6% (95% CI 1.1-2.2) and 14.6% (95% CI 13.1-16.2) respectively. Period prevalence of SARS-CoV2 infection was not considerably different across age groups (9.7-19.8%). It was higher in males compared to females (16.2 and 12.7% respectively). A significant variation was observed by nationality (7.1 to 22.2%) and municipalities (6.9-35.3%).ConclusionsThe study provides an example of a methodologically robust approach that can be undertaken in a timely manner with limited resources. It reports much-needed epidemiological data about the spread of SARS-CoV2. Given the low prevalence rates, majority of the population in Qatar remains susceptible. Enhanced surveillance must continue to be in place, particularly due to the large number of asymptomatic cases observed. Robust contact tracing and social distancing measures are key to prevent future outbreaks.

Project description:IntroductionMultimorbid chronic diseases are usually considered separately in trials. Here, we aimed to describe overall multimorbidity patterns in adults aged 55 years or older and assess their effect on health-related quality of life (HRQoL).MethodsWe used data for 5,647 participants included in the SUpplémentation en VItamines et Minéraux AntioXydants 2 (SU.VI.MAX 2) population-based trial. HRQoL was assessed by the French versions of the Medical Outcome Study Short Form 36 and the Duke Health Profile. An exploratory factor analysis was used to determine multimorbidity patterns, and a multimorbidity score for each resulting pattern was calculated. Adjusted multiple linear regression was used to examine the association between the identified multimorbidity and HRQoL scores by gender and for each age group (55-59, 60-64, 65-69, ? 70 years).ResultsMore than 63% of the sample reported two or more chronic conditions (from 55.8% for those 55-59 years to 74.4% for those ? 70 years). Multimorbidity was more common among women than men (67.3% vs 60%). Two different multimorbidity patterns were identified. Pattern A was represented mainly by mental illness and bone impairments. Pattern B was represented mainly by cardiovascular and metabolic disorders. After adjusting for covariates, a high pattern A score was associated with reduced HRQoL for the physical and mental components of each HRQoL questionnaire, and a high pattern B score was associated with reduced HRQoL for only the physical component of each questionnaire. These multimorbidity scores affected HRQoL differently by age group.ConclusionOur study used a novel methodological approach to account for multimorbidity patterns in determining the link with chronic conditions. These multimorbidity scores (counted and weighted) can be used in clinical research to control for the effect of multimorbidity on patients' HRQoL and may be useful for clinical practice.Clinical trial registrationClinicaltrial.gov (number NCT00272428).

Project description:BACKGROUND:Diet is a key risk factor for chronic disease, and an increasing concern among older adults. We aim to examine the changes in dietary patterns using principal component analysis and a diet quality index among older adults and examine the predictors of dietary change over a 4 year period. METHODS:Data was obtained via a postal survey in a prospective cohort, the Wellbeing Eating and Exercise for a Long Life (WELL) study. Australian adults aged 55 years and over (n = 1005 men and n = 1106 women) completed a food frequency at three time points and provided self-reported personal characteristics. Principal component analysis was used to assess dietary patterns and diet quality was assessed using the 2013 Revised Dietary Guideline Index. The relationships between predictors and change in dietary patterns were assessed by multiple linear regression. RESULTS:Two dietary patterns were consistently identified in men and women at three time points over 4 years. One was characterised by vegetables, fruit and white meat, and the other was characterised by red and processed meat and processed foods. Reduced consumption of key food groups within the principal component analysis-determined dietary patterns was observed. An increase in diet quality over 4 years was observed in men only. Reported higher education levels and favourable lifestyle characteristics, including not smoking and physical activity, at baseline predicted an increase in healthier dietary patterns over 4 years. CONCLUSIONS:There was stability in the main dietary patterns identified over time, however participants reported an overall decrease in the frequency of consumption of key food groups. Compliance with the Australian Dietary Guidelines remained poor and therefore targeting this population in nutritional initiatives is important. Design of nutrition promotion for older adults need to consider those with lower socioeconomic status, as having a lower level of education was a predictor of poorer dietary patterns. It is important to consider how nutrition behaviours can be targeted alongside other lifestyle behaviours, such as smoking and inadequate physical activity to improve health.

Project description:IntroductionMultimorbidity, the co-occurrence of two or more chronic conditions, is common among older adults and is associated with decreased quality of life, greater disability, and increased mortality. Yet, the association of multimorbidity with pain, another significant contributor to decreased quality of life, has not been widely studied. This is especially understudied among very old (aged ≥ 80) Mexican Americans, a fast-growing segment of the United States (US) population.ObjectiveTo assess the association of multimorbidity with pain in very old Mexican Americans, over six years of follow-up.MethodsWe used data from Waves 7 (2010/2011) to 9 (2015/2016) of the Hispanic Established Populations for the Epidemiologic Study of the Elderly, a longitudinal study of older Mexican Americans residing in the Southwestern US. Multimorbidity was defined as reporting two or more chronic health conditions. Pain was defined as (1) pain on weight-bearing, (2) pain in back, hips, knees, ankles/feet, legs, entire body, or two or more locations, and (3) pain that limits daily activities. We use generalized estimation equations to estimate the odds ratio of pain as a function of multimorbidity over 6 years.ResultsAt baseline (n = 841), 77.3% of participants had multimorbidity. Those with multimorbidity had greater odds [2.27, 95% confidence interval (CI): 1.74, 2.95] of reporting pain on weight-bearing over time, compared to those without multimorbidity. Also, those with multimorbidity had 2.12 times the odds of reporting pain that limited their daily activities (95% CI: 1.61, 2.78) compared to those without multimorbidity. Lastly, those with multimorbidity had higher odds of reporting pain in their back, knee, ankles/feet, legs, hips, entire body, or two or more locations, compared to those without multimorbidity.ConclusionsThose with multimorbidity consistently had higher odds of all types of pain, highlighting the need for early management of pain among those with multiple chronic conditions and complex health needs. This is especially important among very old Mexican Americans, who have a high burden of chronic health conditions.

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Multimorbidity patterns in a primary care population aged 55 years and over.

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Multimorbidity patterns in a primary care population aged 55 years and over.

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