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Investigation of multimorbidity and prevalent disease combinations in older Irish adults using network analysis and association rules.

ABSTRACT: Multimorbidity (the presence of multiple medical conditions) is well known to increase with age. People with multimorbidities often have higher physical and functional decline as well as increased mortality. Despite growing evidence that integrated and collaborative care improves many undesirable outcomes of multimorbidity, the majority of health systems are based around treating individual diseases. A pattern analysis of comorbidities using network graphs and a novel use of association rules was conducted to investigate disease associations on 6101 Irish adults aged 50+. The complex network of morbidities and differences in the prevalence and interactions of these morbidities by sex was also assessed. Gender specific differences in disease prevalence was found for 22/31 medical conditions included in this study. Females had a more complex network of disease associations than males with strong associations found between arthritis, osteoporosis and thyroid issues among others. To assess the strength of these associations we provide probabilities of being diagnosed with a comorbid condition given the presence of an index morbidity for 639 pairwise combinations. This information can be used to guide clinicians in deciding which comorbidities should be incorporated into comprehensive assessments in addition to anticipating likely future morbidities and thus developing prevention strategies.

SUBMITTER: Hernandez B

PROVIDER: S-EPMC6787335 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Investigation of multimorbidity and prevalent disease combinations in older Irish adults using network analysis and association rules.

Hernández Belinda B Reilly Richard B RB Kenny Rose Anne RA

Scientific reports 20191010 1

Multimorbidity (the presence of multiple medical conditions) is well known to increase with age. People with multimorbidities often have higher physical and functional decline as well as increased mortality. Despite growing evidence that integrated and collaborative care improves many undesirable outcomes of multimorbidity, the majority of health systems are based around treating individual diseases. A pattern analysis of comorbidities using network graphs and a novel use of association rules wa ...[more]

PMID: 31601959

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Project description:BackgroundMultimorbidity (≥ 2 chronic diseases) is associated with greater disability and higher treatment burden, as well as difficulty coordinating self-management tasks for adults with complex multimorbidity patterns. Comparatively little work has focused on assessing multimorbidity patterns among patients seeking care in community health centers (CHCs).ObjectiveTo identify and characterize prevalent multimorbidity patterns in a multi-state network of CHCs over a 5-year period.DesignA cohort study of the 2014-2019 ADVANCE multi-state CHC clinical data network. We identified the most prevalent multimorbidity combination patterns and assessed the frequency of patterns throughout a 5-year period as well as the demographic characteristics of patient panels by prevalent patterns.ParticipantsThe study included data from 838,642 patients aged ≥ 45 years who were seen in 337 CHCs across 22 states between 2014 and 2019.Main measuresPrevalent multimorbidity patterns of somatic, mental health, and mental-somatic combinations of 22 chronic diseases based on the U.S. Department of Health and Human Services Multiple Chronic Conditions framework: anxiety, arthritis, asthma, autism, cancer, cardiac arrhythmia, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), congestive heart failure, coronary artery disease, dementia, depression, diabetes, hepatitis, human immunodeficiency virus (HIV), hyperlipidemia, hypertension, osteoporosis, post-traumatic stress disorder (PTSD), schizophrenia, substance use disorder, and stroke.Key resultsMultimorbidity is common among middle-aged and older patients seen in CHCs: 40% have somatic, 6% have mental health, and 24% have mental-somatic multimorbidity patterns. The most frequently occurring pattern across all years is hyperlipidemia-hypertension. The three most frequent patterns are various iterations of hyperlipidemia, hypertension, and diabetes and are consistent in rank of occurrence across all years. CKD-hyperlipidemia-hypertension and anxiety-depression are both more frequent in later study years.ConclusionsCHCs are increasingly seeing more complex multimorbidity patterns over time; these most often involve mental health morbidity and advanced cardiometabolic-renal morbidity.

Project description:Background/objectivesDue to the high costs and excess mortality associated with multimorbidity, there is a need to develop approaches for delaying its progression. High blood pressure (BP) is a common chronic condition and a risk factor for many additional chronic conditions, making it an ideal target for intervention. The purpose of this analysis was to determine the association between the level of sustained BP control and the progression of multimorbidity.DesignRetrospective cohort study.SettingAntihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT) linked to Medicare claims.ParticipantsA total of 6,591 ALLHAT participants with Medicare who had systolic BP (SBP) measurements at eight or more study visits.MeasurementsSBP control was categorized as lower than 140 mm Hg at less than 50%, 50% to less than 75%, 75% to less than 100%, and 100% of visits. Multimorbidity progression was defined by the number of incident chronic conditions, including arthritis, asthma, atrial fibrillation, cancer, chronic kidney disease, chronic obstructive pulmonary disease, coronary heart disease, dementia, depression, diabetes mellitus, heart failure, hyperlipidemia, osteoporosis, and stroke. Recurrent event survival analysis was used to calculate rate ratios (RRs) for the association of sustained SBP control with progression of multimorbidity.ResultsRates of incident conditions per 10 person-years (95% CIs) were 5.2 (5.1-5.4), 4.7 (4.5-4.8), 4.4 (4.2-4.5), and 4.0 (3.8-4.2) for participants with SBP control at less than 50%, 50% to less than 75%, 75% to less than 100%, and 100% of visits, respectively, over a median follow-up of 9.0 years. Compared with participants with SBP control at less than 50% of visits, adjusted RRs (95% CIs) for multimorbidity progression were 0.90 (0.86-0.95), 0.85 (0.81-0.89), and 0.77 (0.72-0.82) for those with SBP control at 50% to less than 75%, 75% to less than 100%, and 100% of visits, respectively.ConclusionsSustaining BP control may be an effective approach to slow multimorbidity progression and may reduce the population burden of multimorbidity.

Project description:BACKGROUND:Multimorbidity is a global health issue, particularly for older adults in the primary care setting. An adequate portrayal of its epidemiology is essential to properly identify and understand the health care needs of this population. This study aimed to compare the differences in the prevalence of selected chronic conditions and multimorbidity, including its associated characteristics, using health survey/self-reported (SR) information only, administrative (Adm) data only and the combined (either) sources. METHODS:This was a secondary analysis of survey data from the first cycle of the Longitudinal Survey on Senior's Health and Health Services Use linked to health-Adm data. The analytical sample consisted of 1625 community-dwelling older adults (≥65 years) recruited in the waiting rooms of primary health clinics in a selected administrative region of the province of Quebec. Seventeen chronic conditions were assessed according to two different data sources. We examined the differences in the observed prevalence of chronic conditions and multimorbidity and the agreement between data sources. RESULTS:The prevalence of each of the 17 chronic conditions ranged from 1.2 to 68.7% depending on the data source. The agreement between different data sources was highly variable, with kappa coefficients (κ) ranging from 0.05 to 0.73. Multimorbidity was very high in this population, with an estimated prevalence of up to 95.9%. In addition, we found that the association between sociodemographic and behavioural factors and the presence of multimorbidity varied according to the different data sources and thresholds. CONCLUSIONS:This is the first study to simultaneously investigate chronic conditions and multimorbidity prevalence among primary care older adults using combined SR and health-Adm data. Our results call attention to (1) the possibility of underestimating cases when using a single data source and (2) the potential benefits of integrating information from different data sources to increase case identification. This is an important aspect of characterizing the health care needs of this fast-growing population.

Project description:BackgroundMultimorbidity has been associated with adverse health outcomes, such as reduced physical function, poor quality-of-life (QoL), poor self-rated health.ObjectiveThe association between quality of life, social support, sense of loneliness and sex and age in older adult patients affected by two or more chronic diseases (multimorbidity) was evaluated.MethodsPatients n. 162 with multimorbidity and living with family members.TestsMMSE-Mini-Mental-State-Examination; ADL-Activities of Daily Living; Social Schedule: demographic variables; Loneliness Scale -de Jong Gierveld; Quality-of-Life-FACT-G; WHOQOL-BRIEF Social relationships.Statistical analysisMultivariate Regression Analysis.ResultsThe patients with three or more diseases have worse dimensions of FACT-G total score (p = 0.029), QoL Physical-well-being (p = 0.003), Social well-being (p = 0.003), Emotional-well-being (p = 0.012), Functional-well-being (p < 0.001), than those with two. Multiple linear regression QoL: FACT_G total score, PWB, SWB, EWB, FWB as dependent variables. In the presence of multimorbidity with an increase in the patient's age FACT-G total score (B = -0.004, p = 0.482), PWB (B = -0.024, p = 0.014), SWB (B = -0.022, p = 0.051), EWB (B = -0.001, p = 0.939), FWB (B = -0.023, p = 0.013) decrease by an average of 0.1, and as the sense of solitude increases FACT-G total score (B = -0.285, p < 0.000), PWB (B = -0.435, p < 0.000), SWB(B = -0.401, p < 0.000), EWB(B = -0.494, p < 0.000), FWB(B = -0.429, p < 0.000) decrease by 0.4.ConclusionsA sense of loneliness and advancing age are associated with bad quality-of life in self-sufficient elderly patients with multimorbidity.Implications for practiceDemonstrating that loneliness, as well as in the presence of interpersonal relations, is predictive of worse quality of life in patients with multimorbidity helps identify people most at risk for common symptoms and lays the groundwork for research concerning both diagnosis and treatment.

Project description:BackgroundHealth and social care systems were designed to be used primarily by people with single and acute diseases. However, a growing number of older adults are diagnosed with multiple long-term conditions (LTCs). The process of navigating the intricacies of health and social care systems to receive appropriate care presents significant challenges for older people living with multiple LTCs, which in turn can negatively influence their well-being and quality of life.ObjectiveThe long-term goal of this work is to design technology to assist people with LTCs in navigating health and social care systems. To do so, we must first understand how older people living with LTCs currently engage with and navigate their care networks. No published research describes and analyses the structure of formal and informal care networks of older adults with multiple LTCs, the frequency of interactions with each type of care service, and the problems that typically arise in these interactions.MethodsWe conducted a mixed-methods study and recruited 62 participants aged ?55 years who were living in England, had ?2 LTCs, and had completed a social network analysis questionnaire. Semistructured interviews were conducted with roughly a 10% subsample of the questionnaire sample: 4 women and 3 men. On average, interviewees aged 70 years and had 4 LTCs.ResultsPersonal care networks were complex and adapted to each individual. The task of building and subsequently navigating one's personal care network rested mainly on patients' shoulders. It was frequently the patients' task to bridge and connect the different parts of the system. The major factor leading to a satisfying navigation experience was found to be patients' assertive, determined, and proactive approaches. Furthermore, smooth communication and interaction between different parts of the care system led to more satisfying navigation experiences.ConclusionsTechnology to support care navigation for older adults with multiple LTCs needs to support patients in managing complex health and social care systems by effectively integrating the management of multiple conditions and facilitating communication among multiple stakeholders, while also offering flexibility to adapt to individual situations. Quality of care seems to be dependent on the determination and ability of patients. Those with less determination and fewer organization skills experience worse care. Thus, technology must aim to fulfill these coordination functions to ensure care is equitable across those who need it.

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Investigation of multimorbidity and prevalent disease combinations in older Irish adults using network analysis and association rules.

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Investigation of multimorbidity and prevalent disease combinations in older Irish adults using network analysis and association rules.

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