Multimorbidity and quality of life: Systematic literature review and meta-analysis

The co-occurrence of multimorbidity and polypharmacy among middle-aged and older adults in Canada: A cross-sectional study using the Canadian Longitudinal Study on Aging (CLSA) and the Canadian Primary Care Sentinel Surveillance Network (CPCSSN)

BACKGROUND

There is an increasing prevalence of multiple conditions (multimorbidity) and multiple medications (polypharmacy) across many populations. Previous literature has focused on the prevalence and impact of these health states separately, but there is a need to better understand their co-occurrence.

METHODS AND FINDINGS

This study reported on multimorbidity and polypharmacy among middle-aged and older adults in two national datasets: the Canadian Longitudinal Study on Aging (CLSA) and the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). Using consistent methodology, we conducted a cross-sectional analysis of CLSA participants and CPCSSN patients aged 45 to 85 years as of 2015. When multimorbidity was defined as two or more conditions, the prevalence was 66.7% and 52.0% in the CLSA and CPCSSN cohorts, respectively. The prevalence of polypharmacy was 14.9% in the CLSA cohort and 22.6% in the CPCSSN cohort when defined as five or more medications. Using the same cut-points, the co-occurrence of multimorbidity and polypharmacy was similar between the two cohorts (CLSA: 14.3%; CPCSSN: 13.5%). Approximately 20% of older adults (65 to 85 years) were living with both multimorbidity and polypharmacy (CLSA: 21.4%; CPCSSN: 18.3%), as compared to almost 10% of middle-aged adults (45 to 64 years) living with this co-occurrence (CLSA: 9.2%; CPCSSN: 9.9%). Across both cohorts and age groups, females had consistently higher estimates of multimorbidity, polypharmacy and the co-occurrence of multimorbidity and polypharmacy.

CONCLUSIONS

This study found that multimorbidity and polypharmacy are not interchangeable in understanding population health needs. Approximately one in five older adults in the CLSA and CPCSSN cohorts were living with both multimorbidity and polypharmacy, double the proportion in the younger cohorts. This has implications for future research, as well as health policy and clinical practice, that aim to reduce the occurrence and impact of multimorbidity and unnecessary polypharmacy to enhance the well-being of aging populations.

Classifying and Characterising Unmet Integrated Care Needs of Older Adults With Multimorbidity: A Latent Profile Analysis

AIMS

To classify the unmet integrated care needs of older adults with multimorbidity and to explore the factors associated with different categories of unmet integrated care needs among the target population.

DESIGN

A cross-sectional survey using the statistical method of latent profile analysis.

METHODS

From July 2022 to March 2023, 397 older adults with multimorbidity, aged 60 years or older, were recruited from one primary healthcare setting and from four secondary and tertiary hospitals to participate in face-to-face questionnaire surveys. The questionnaire used in this study to assess unmet integrated care needs among older adults with multimorbidity was self-designed through a series of steps, including a scoping review, expert consultation and cognitive interviews. Latent profile analysis was applied to uncover distinct profiles of unmet integrated care needs, and multinomial logistic regression was employed to explore whether the profiles were further distinguished by participants' sociodemographic and health-related covariates. The data were analysed using IBM SPSS v.29.0 and Mplus v.8.0.

RESULTS

The optimal solution was a four-profile model, characterised by high unmet integration needs, high unmet system integration needs, low unmet system integration needs and low unmet integration needs, respectively. Multinomial logistic regression results indicated that profile differences were associated with place of residence, number of coresidents and the presence or absence of complex multimorbidity.

CONCLUSION

The integrated care needs of older adults with multimorbidity have not yet been fully met. Classifying and characterising unmet integrated care needs profiles is a crucial step in the rational allocation of integrated care resources.

REPORTING METHOD

This study was reported based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) for cross-sectional studies.

PATIENT OR PUBLIC CONTRIBUTION

All participants were older adults with multimorbidity, and they were informed that they could withdraw from the study at any time.

Association between physical multimorbidity in middle adulthood and mortality: findings from two large cohort studies in Japan

BACKGROUND

While previous literature suggests that multimorbidity is linked to a higher risk of mortality, evidence is scarce among individuals in middle adulthood. We aimed to examine the association between physical multimorbidity and all-cause mortality among individuals aged 40-64 years at baseline in Japan.

METHODS

Data were obtained from two cohort studies, the Japan Public Health Center-based Prospective Study (JPHC) and the Japan Epidemiology Collaboration on Occupational Health Study (J-ECOH). The study participants were 144,774 individuals aged 40-64 years at baseline who were followed up for a maximum of 29 and 10 years in the JPHC and J-ECOH, respectively. Multimorbidity was defined as the presence of ≥ 2 of 10 morbidities or conditions based on self-reported information. A Cox proportional hazards model was used to examine the association in relation to all-cause mortality. We calculated pooled hazard ratios (HR) and corresponding 95% confidence intervals (CI) using a random-effects meta-analysis model. Cause-specific analysis was performed using the JPHC dataset, which provided a sufficient number of events for mortality due to physical disorders, mental disorders/suicide, and unintentional injuries.

RESULTS

During a follow-up of 2,304,375 person-years in the JPHC and 311,637 person-years in the J-ECOH, 23,611 and 275 deaths were recorded, respectively. Participants with vs. without physical multimorbidity at baseline were more likely to die prematurely in both cohorts with a pooled HR of 1.61 (95%CI = 1.29-2.01). Cause-specific analyses among the JPHC participants revealed that physical multimorbidity at baseline was linked with mortality due to physical disorders, mortality due to mental disorders/suicide, and mortality due to unintentional injuries.

CONCLUSIONS

Physical multimorbidity in middle adulthood is associated with an increased risk of all-cause mortality in Japan.

Multimorbidity clusters and their associations with health-related quality of life in two UK cohorts

BACKGROUND

Identifying clusters of multiple long-term conditions (MLTCs), also known as multimorbidity, and their associated burden may facilitate the development of effective and cost-effective targeted healthcare strategies. This study aimed to identify clusters of MLTCs and their associations with long-term health-related quality of life (HRQoL) in two UK population-based cohorts.

METHODS

Age-stratified clusters of MLTCs were identified at baseline in UK Biobank (n = 502,363, 54.6% female) and UKHLS (n = 49,186, 54.8% female) using latent class analysis (LCA). LCA was applied to people who self-reported ≥ 2 LTCs (from n = 43 LTCs [UK Biobank], n = 13 LTCs [UKHLS]) at baseline, across four age-strata: 18-36, 37-54, 55-73, and 74 + years. Associations between MLTC clusters and HRQoL were investigated using tobit regression and compared to associations between MLTC counts and HRQoL. For HRQoL, we extracted EQ-5D index data from UK Biobank. In UKHLS, SF-12 data were extracted and mapped to EQ-5D index scores using a standard preference-based algorithm. HRQoL data were collected at median 5 (UKHLS) and 10 (UK Biobank) years follow-up. Analyses were adjusted for available sociodemographic and lifestyle covariates.

RESULTS

LCA identified 9 MLTC clusters in UK Biobank and 15 MLTC clusters in UKHLS. Clusters centred around pulmonary and cardiometabolic LTCs were common across all age groups. Hypertension was prominent across clusters in all ages, while depression featured in younger groups and painful conditions/arthritis were common in clusters from middle-age onwards. MLTC clusters showed different associations with HRQoL. In UK Biobank, clusters with high prevalence of painful conditions were consistently associated with the largest deficits in HRQoL. In UKHLS, clusters of cardiometabolic disease had the lowest HRQoL. Notably, negative associations between MLTC clusters containing painful conditions and HRQoL remained significant even after adjusting for number of LTCs.

CONCLUSIONS

While higher LTC counts remain important, we have shown that MLTC cluster types also have an impact on HRQoL. Health service delivery planning and future intervention design and risk assessment of people with MLTCs should consider both LTC counts and MLTC clusters to better meet the needs of specific populations.

Weight-Adjusted Waist Index (WWI)-A Promising Anthropometric Indicator of Depressive Symptoms in Hospitalized Older Patients

OBJECTIVES

The aim of this study was to evaluate which anthropometric index, either body mass index (BMI) or weight-adjusted waist index (WWI), is more accurately associated with the prevalence of the most common chronic diseases and components of geriatric assessment in hospitalized older adults.

METHODS

The study included a total of 2945 hospitalized older adults (median age 82 years). The associations between the presence of chronic diseases and Comprehensive Geriatric Assessment (CGA) results were compared with WWI and BMI values.

RESULTS

The WWI was significantly higher in both sex groups suffering from hypertension, diabetes, osteoarthritis, and depression. In women, the parameter was increased among individuals with previous myocardial infarction, who presented heart failure symptoms or had chronic kidney disease diagnosed, whereas in men, among those with pulmonary diseases and osteoporosis, WWI was related to many CGA parameters oftentimes where BMI proved to fail. There was a positive correlation of WWI with the presence of depressive symptoms assessed with the geriatric depression scale (GDS) but no significant correlation with BMI. In multiple logistic regression models, WWI was a stronger predictor of depression as compared to waist circumference or the waist-to-height ratio.

CONCLUSIONS

There is an association between a higher WWI and depression diagnosis as well as the presence of depressive symptoms according to the GDS in hospitalized older adults, both women and men. There is no such correlation between depression and BMI. Both high BMI and high WWI values seem to identify older patients with cardiometabolic diseases such as hypertension and diabetes. According to this study, WWI seems to be a promising indicator of depression risk and, similarly to BMI, a useful parameter for the assessment of cardiometabolic risk in older hospitalized adults.

Phenome-wide investigation of bidirectional causal relationships between major depressive disorder and common human diseases

The high comorbidity of major depressive disorder (MDD) with other diseases has been well-documented. However, the pairwise causal connections for MDD comorbid networks are poorly characterized. We performed Phenome-wide Mendelian randomization (MR) analyses to explore bidirectional causal associations between MDD (N = 807,553) and 877 common diseases from FinnGen datasets (N = 377,277). The inverse variance weighting method was the primary technique, and other methods (weighted median and MR-Egger) were used for sensitivity analyses. Our MR analyses showed that the genetic liability to MDD is causally associated with the risks of 324 disease phenotypes (average b: 0.339), including 46 psychiatric and behavioral disorders (average b: 0.618), 18 neurological diseases (average b: 0.348), 44 respiratory diseases (average b: 0.345), 40 digestive diseases (average b: 0.281), 18 circulatory diseases (average b: 0.237), 37 genitourinary diseases (average b: 0.271), 66 musculoskeletal and connective diseases (average b: 0.326), 22 endocrine diseases (average b: 0.302), and others. In a reverse analysis, a total of 51 genetic components predisposing to various diseases were causally associated with MDD risk (average b: 0.086), including 5 infectious diseases (average b: 0.056), 11 neurological diseases (average b: 0.106), 14 oncological diseases (average b: 0.108), and 5 psychiatric and behavioral disorders (average b: 0.114). Bidirectional causal associations were identified between MDD and 15 diseases. For most MR analyses, little evidence of heterogeneity and pleiotropy was detected. Our findings confirmed the extensive and significant causal role of genetic predisposition to MDD in contributing to human disease phenotypes, which were more pronounced than those seen in the reverse analysis of the causal influences of other diseases on MDD.

Social Determinants of Quality of Life in the Last Year of Life Among Community-Dwelling Older Adults with Multimorbidity

Quality of life (QOL) at the end of life often declines in relation to various determinants, yet the role of social determinants, including social capital, in end-of-life care is frequently overlooked. This study aims to examine the association between social determinants and QOL in the last year of life and to test the mediating role of social capital in the relationship between social determinants and QOL among older adults with multimorbidity (MM). We used secondary data from the National Health and Aging Trends Study (NHATS) in Rounds 10 and 11, involving 3,085 adults aged 65 and older. The final analysis comprised 230 participants. Multiple linear regression was conducted to assess the associations between social determinants and QOL, and path analysis was used to evaluate the mediating effect of social capital. The regression model showed that social capital was positively and significantly associated with QOL (β = 0.378, 95% CI [0.099, 0.657], SE = 0.139), as were mental conditions (β = 0.614, 95% CI [0.167, 1.062], SE = 0.194). The mediation analysis demonstrated that social capital functioned as a complementary mediator, partially mediating the relationship between mental conditions and QOL in the last year of life. These findings underscore the potential role of social capital in enhancing QOL at the end of life, particularly through its influence on mental health. The study highlights the need for healthcare practices and policies that promote social support systems and community-based care for older adults with MM. By addressing social capital, end-of-life care could be improved, resulting in better overall well-being for individuals facing the last stages of life.

The importance of including a mental health dimension in a multimorbidity indicator: an analysis of Belgian health survey data

BACKGROUND

Multimorbidity is a rising public health concern. Indicators that address these complex health conditions are often exclusively devoted to physical diseases. Because of their high disease burden, mental health disorders ought to be considered as well. This paper aims to measure the added value of including a mental health dimension in a population-based multimorbidity indicator and identify which mental health measures are most appropriate.

METHODS

Secondary analyses were conducted on data from the Belgian Health Interview Survey 2018. We compared the prevalence of different multimorbidity indicators (MIs) in relation to health impact measures, such as quality of life (EQ-5D score) and activity limitation (GALI). The MIs differed as to the health conditions involved: one was based on physical conditions only; the other three included mental health dimensions that were either self-reported or assessed by a scale (GAD-7, PHQ-9, and GHQ-12). We performed linear and logistic regressions to assess the association between the MIs and the health correlates and compared the goodness of fit of the different models.

RESULTS

MI prevalence was higher when including a mental health dimension assessed with the GHQ-12 (42.0%) and with the GAD-7 or the PHQ-9 (39.4%) as compared to physical conditions only (35.0%). Associations between the MI and health correlates were consistently stronger if the MI included a mental health dimension. The regression models with MI including the GAD-7 and PHQ-9 showed the strongest association between MI and the health correlates and also had the best goodness-of-fit measures.

CONCLUSIONS

MIs that only take physical conditions into account underestimate their impact on individuals' lives. Including mental ill-health in an MI is key to linking it to health correlates.

Depression in patients with anorectal fistulas and anal fissures: a propensity score-matched cohort study

PURPOSE

Anal fissures and anorectal fistulas are diseases often associated with significant pain and prolonged discomfort, resulting in a significantly reduced quality of life (QoL). They are not only a surgical problem but also have a profound psychosocial impact and influence on QoL. The aim of this study was to investigate the incidence of depression in patients with these pathologies and to highlight the need to address the psychosocial aspects of these diseases.

METHODS

Data from the Disease Analyzer database of approximately 3,000 general practitioners in Germany were retrospectively analyzed. The retrospective cohort study included patients aged ≥ 18 years diagnosed with anal fissure (n = 15,467) or anorectal fistula (n = 3,520) between January 2005 and December 2022 and propensity score matched individuals without these disorders (n = 94,935). The primary outcome was a diagnosis of depression within five years of the index date. Kaplan-Meier curves and Cox regression analyses were used to analyze the association between the two anorectal diseases and depression.

RESULTS

After 5 years of follow-up, 13.0% of patients with anal fissure and 12.3% of patients with anorectal fistula were diagnosed with depression, compared with 9.7-10.3% in the control group (p < 0.001). Cox regression analysis showed a significant association between both diseases and depression (anal fissure: HR: 1.31; 95% CI: 1.25-1.38; anorectal fistula: HR: 1.30; 95% CI: 1.17-1.44).

CONCLUSION

The results suggest that anal fissures or anorectal fistulas are significantly associated with a subsequent depression. This highlights the importance of multidisciplinary management that addresses both physical and psychosocial aspects to improve patient outcomes.

Relationship between pain severity and self-perceived health among United States adults: A cross-sectional, retrospective database study

Self-perceived health is related to outcomes such as morbidity and mortality. However, little is known about the relationship between pain severity and self-perceived health, which could be useful to know to help improve health. This study assessed the association of pain severity and other contributing factors with self-perceived health among United States adults. This cross-sectional, retrospective database study used 2019 Medical Expenditure Panel Survey data and included United States adults aged ≥18 years who responded to the pain item in the survey. The independent variable was self-reported pain severity, and the dependent variable was self-perceived health. Various potentially confounding variables were controlled for in the analysis. Adjusted logistic regression models were used to identify statistical associations between each variable and self-perceived health. The complex survey design was maintained, while nationally representative estimates were obtained. Among the sample of 17,261 United States adults, 88.1% (95% confidence interval, 87.4%-88.8%) reported excellent, very good, or good self-perceived health, while 11.9% (95% confidence interval, 11.2%-12.6%) reported fair or poor self-perceived health. In adjusted analyses, there were significant associations between fair or poor self-perceived health and any level of pain severity versus no pain, age 40 to 64 versus 18 to 39 years, male versus female, Hispanic versus non-Hispanic, high school diploma or less versus more than high school, unemployed versus employed, poor, near poor, or low versus middle or high income, fair or poor versus excellent, very good, or good mental health, exercising <5 times versus ≥5 times per week, smoker versus nonsmoker, and ≥2 versus <2 comorbid conditions. This study found that greater levels of pain severity (and several other variables) were associated with greater odds of reporting fair or poor self-perceived health. These associations provide greater insight into the variables associated with self-perceived health, which may be useful targets to improve health.

An eHealth Intervention to Improve Quality of Life, Socioemotional, and Health-Related Measures Among Older Adults With Multiple Chronic Conditions: Randomized Controlled Trial

BACKGROUND

In the United States, over 60% of adults aged 65 years or older have multiple chronic health conditions, with consequences that include reduced quality of life, increasingly complex but less person-centered treatment, and higher health care costs. A previous trial of ElderTree, an eHealth intervention for older adults, found socioemotional benefits for those with high rates of primary care use.

OBJECTIVE

This study tested the effectiveness of an ElderTree intervention designed specifically for older patients with multiple chronic conditions to determine whether combining it with primary care improved socioemotional and physical outcomes.

METHODS

In a nonblinded randomized controlled trial, 346 participants recruited from primary care clinics were assigned 1:1 to the ElderTree intervention or an attention control and were followed for 12 months. All participants were aged 65 years or older and had electronic health record diagnoses of at least three of 11 chronic conditions. Primary outcomes were mental and physical quality of life, psychological well-being (feelings of competence, connectedness, meaningfulness, and optimism), and loneliness. Tested mediators of the effects of the study arm (ElderTree vs active control) on changes in primary outcomes over time were 6-month changes in health coping, motivation, feelings of relatedness, depression, and anxiety. Tested moderators were sex, scheduled health care use, and number of chronic conditions. Data sources were surveys at baseline and 6 and 12 months comprising validated scales, and continuously collected ElderTree usage.

RESULTS

At 12 months, 76.1% (134/176) of ElderTree participants were still using the intervention. There was a significant effect of ElderTree (vs control) on improvements over 12 months in mental quality of life (arm × timepoint interaction: b=0.76, 95% CI 0.14-1.37; P=.02; 12-month ∆d=0.15) but no such effect on the other primary outcomes of physical quality of life, psychological well-being, or loneliness. Sex moderated the effects of the study arm over time on mental quality of life (b=1.33, 95% CI 0.09-2.58; P=.04) and psychological well-being (b=1.13, 95% CI 0.13-2.12; P=.03), with stronger effects for women than men. The effect of the study arm on mental quality of life was mediated by 6-month improvements in relatedness (α=1.25, P=.04; b=0.31, P<.001). Analyses of secondary and exploratory outcomes showed minimal effects of ElderTree.

CONCLUSIONS

Consistent with the previous iteration of ElderTree, the current iteration designed for older patients with multiple chronic conditions showed signs of improving socioemotional outcomes but no impact on physical outcomes. This may reflect the choice of chronic conditions for inclusion, which need not have impinged on patients' physical quality of life. Two ongoing trials are testing more specific versions of ElderTree targeting older patients coping with (1) chronic pain and (2) greater debilitation owing to at least 5 chronic conditions.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03387735; https://clinicaltrials.gov/study/NCT03387735.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/25175.

A patient-centred care model for patients with complicated multimorbidity: Protocol for a pilot cluster randomised trial in general practice, municipalities, and hospitals

INTRODUCTION

Current care is inadequate for patients with complicated multimorbidity, and frequently results in fragmented care. There is no widely agreed-upon optimal organisation of healthcare services for this patient group. By drawing upon existing literature and prior studies, we developed a patient-centred complex intervention for multimorbidity (CIM) and subsequently refined it into CIM version 2 (CIM2). This paper describes the study protocol for a pilot cluster randomised control trail (RCT) evaluating the effectiveness of a general practice-based intervention.

METHODS

CIM2 aims to support integrated care for patients with complicated multimorbidity. CIM2 comprises five elements: 1) Training healthcare professionals, 2) an extended overview consultation in general practice, 3) a nurse care coordinator in general practice supporting the planning of the patient trajectory, 4) follow-up care services in general practice, and 5) improving the integration of care between general practice, municipality, and hospital. The pilot cluster RCT involve 350 patients with complicated multimorbidity across 14 general practices in Region Zealand and The Capital Region of Denmark. Patients are randomly assigned to either the intervention group or the usual care group. The primary outcome measure is the patients experience of quality of care measured by the Patient Assessment Chronic Illness Care Questionnaire (PACIC). Secondary outcomes include the patient's health-related quality of life, measured by the EuroQol-5 Domain questionnaire (EQ-5D-5L) and the treatment burden measured by the Multimorbidity Treatment Burden Questionnaire (MTBQ). Data on chronic conditions, healthcare utilization, and demographic information such as sex, age, and educational attainment will be collected from national registries. The outcome measures will be recorded before, during, and after implementing the intervention. Qualitative evaluation will include semi-structured interviews with healthcare professionals across various sectors as well as patients. The cost-effectiveness and Incremental Cost Effectiveness Ratio (ICER) of the CIM2 will be assessed using Diagnose Related Group rates.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT05406193. https://clinicaltrials.gov/study/NCT05406193.

The Mediating Role of Depressive Symptoms and Treatment Burden on Health-Related Quality of Life Among Multimorbid Patients With Hypertension: A Multi-Group Analysis

Multimorbidity negatively affects health-related quality of life (HRQoL), though the underlying mechanism remained unclear. This study aims to investigate the mediating role of depressive symptoms and multimorbidity treatment burden (MTB) in the association between disease burden and HRQoL in multimorbid patients with hypertension and to determine differences in mediating effects between and within age groups (< 60 years vs. 60 and above). Disease burden, depressive symptoms, MTB, and HRQoL were assessed by self-reported questionnaires. We conducted path analysis with all subjects and multi-group path analyses with two age groups. Results from the path analysis with all subjects (n = 498) showed a significant direct effect of disease burden on HRQoL and a significant indirect effect via depressive symptoms and MTB. No significant differences in mediating effects were found between age groups. However, in the older patients, depressive symptoms had a greater indirect effect than MTB. Our results underscore the importance of addressing both depressive symptoms and MTB in interventions tailored to the patient's age.

Integrated approach to reducing polypharmacy in older people: exploring the role of oxidative stress and antioxidant potential therapy

Increased life expectancy, attributed to improved access to healthcare and drug development, has led to an increase in multimorbidity, a key contributor to polypharmacy. Polypharmacy is characterised by its association with a variety of adverse events in the older persons. The mechanisms involved in the development of age-related chronic diseases are largely unknown; however, altered redox homeostasis due to ageing is one of the main theories. In this context, the present review explores the development and interaction between different age-related diseases, mainly linked by oxidative stress. In addition, drug interactions in the treatment of various diseases are described, emphasising that the holistic management of older people and their pathologies should prevail over the individual treatment of each condition.

Making Community-Based Palliative Care Eligibility Determinations: Palliative Care Team Member Perspectives on Access to Information and Algorithm Use

BACKGROUND

Seriously ill older adults have high risk of mortality, symptom burden, and compromised functional status, and may benefit from community-based palliative care ("palliative care"). However, identifying potentially eligible individuals is challenging.

OBJECTIVES

Identify how a palliative care team makes eligibility determinations, including the use of a mortality risk algorithm.

DESIGN

Semi-structured focus groups were conducted with palliative care providers to understand how health information is used to assess Medicare Advantage plan patients' eligibility for palliative care. Transcripts were analyzed to identify categories related to how participants used health information in making eligibility determinations.

SETTING/PARTICIPANTS

All outreach and care management team members and nurse practitioners (n = 7) working for a palliative care program at a not-for-profit health care agency.

RESULTS

The palliative care team used information on symptoms, diagnoses, and acute care utilization when making eligibility determinations. The algorithm generated lists of potentially eligible patients but was deemed not useful because it provided limited information about current health status and was not well integrated into existing health record systems. Participants would like information to be current, detailed, and presented in one location.

CONCLUSIONS

Palliative care team members used a variety of indicators of unmet care needs to make eligibility determinations. A mortality risk algorithm to identify potentially eligible patients was insufficiently detailed to be useful in final eligibility determinations. These findings provide insights into how health data can be presented to better integrate health information from mortality risk algorithms into existing workflows to support palliative care eligibility decision making.

Association of cardiovascular-kidney-metabolic health and social connection with the risk of depression and anxiety

BACKGROUND

To explore the association of cardiovascular-kidney-metabolic (CKM) health with the risk of depression and anxiety and to investigate the joint association of CKM health and social connection with depression and anxiety.

METHODS

This prospective cohort study included 344 956 participants from the UK Biobank. CKM syndrome was identified as a medical condition with the presence of metabolic risk factors, cardiovascular disease, and chronic kidney disease, and was classified into five stages (stage 0-4) in this study. Loneliness and social isolation status were determined by self-reported questionnaires. Cox proportional hazards models were applied for analyses.

RESULTS

Compared with participants in stage 0, the HRs for depression were 1.17 (95% CI 1.10-1.25), 1.40 (95% CI 1.33-1.48), and 2.14 (95% CI 1.98-2.31) for participants in stage 1, 2-3, and 4, respectively. Similarly, participants in stage 2-3 (HR = 1.20, 95% CI 1.14-1.26) and stage 4 (HR = 1.63, 95% CI 1.51-1.75) had greater risks of incident anxiety. We found additive interactions between loneliness and CKM health on the risk of depression and anxiety. Participants simultaneously reported being lonely and in stage 4 had the greatest risk of depression (HR = 4.44, 95% CI 3.89-5.07) and anxiety (HR = 2.58, 95% CI 2.21-3.01) compared with those without loneliness and in stage 0. We also observed an additive interaction between social isolation and CKM health on the risk of depression.

CONCLUSIONS

Our findings suggest the importance of comprehensive interventions to improve CKM health and social connection to reduce the disease burden of depression and anxiety.

Research on Integrated Management Path of Comorbidity Based on Grounded Theory

BACKGROUND

This study seeks to thoroughly investigate the generation mechanism of the integrated management pathway for comorbidities, as well as its implementation and execution in practical settings. The findings aim to offer insights for the development of an integrated mechanism for comorbidity services.

METHOD

The collected raw data was coded and analyzed in depth by utilizing grounded theory as the research methodology, in conjunction with NVivo 14.0 software for qualitative analysis, and by adhering to domestic and international guidelines and consensus on comorbidity management.

RESULT

Following the three-level coding process, a total of 49 initial categories, 14 main categories, and 4 core categories (supply-type, demand-type, collaboration-type, and environment-type) were identified. Subsequently, a four-dimensional comprehensive comorbidities management pathway model, referred to as the "Derivative driving force-management pathway-main body network-operation mechanism," was developed.

CONCLUSION

The model integrates the four paths of supply-type, demand-type, collaboration-type, and environment-type with the derived dynamics, subject network, and operation mechanism of comorbidities management. This not only enhances the comprehensiveness and continuity of comorbidities management but also establishes clear direction and evaluation indices for future empirical research.

Recommendations and quality of multimorbidity guidelines: A systematic review

BACKGROUND

As the population is aging, multimorbidity has become an increasingly important global health challenge. Clinical practice guidelines are essential references to guide daily practice for health care providers. This systematic review aims to assess whether existing multimorbidity guidelines adhered to the principles outlined in a previously developed framework for multimorbidity management recommendations, Ariadne, and evaluate their methodological and reporting quality.

METHODS

We systematically searched six literature databases and nine guideline platforms from their inception until September 30, 2024. We included guidelines and guideline-like documents on multimorbidity and polypharmacy. Language was limited to English and Chinese. We extracted data related to basic information and guideline development methodology, and categorized guideline recommendations based on the Ariadne framework. We used the Appraisal of Guidelines, Research and Evaluation II (AGREE II) instrument and Reporting Items for practice Guidelines in HealThcare (RIGHT) checklist to evaluate the methodological and reporting quality of the guidelines, respectively.

RESULT

Our systematic review identified 20 eligible guidelines, of which 10 focused on multimorbidity, eight on polypharmacy, and two covered both topics. The mean overall AGREE II score was 27.9 % and the mean compliance rate to the RIGHT reporting checklist 35.1 %. Individualized management was the most frequently addressed of the five steps of the Ariadne framework (n=18 guidelines, 90.0 %), followed by interaction assessment (n=17, 85.0 %).

CONCLUSION

The methodological and reporting quality of multimorbidity guidelines were suboptimal. The recommendations of these guidelines covered primarily the management process of multimorbid patients. Future guidelines should pay more attention to the scientific quality of the development methodology and the feasibility of implementing the guidelines in practice.

FUNDING

Research Unit of Evidence-Based Evaluation and Guidelines (2021RU017), Chinese Academy of Medical Sciences, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China.

Combined healthy lifestyle factors and psychosocial outcomes among cancer survivors: a systematic review and meta-analysis

PURPOSE

This systematic review aims to summarize the associations between combined healthy lifestyles and psychosocial outcomes (health-related quality of life (HRQOL), depression, anxiety, psychological distress (PD), and posttraumatic stress disorder (PTSD)) among cancer survivors.

METHODS

PubMed, Web of Science, Cochrane Library, and EMBASE were searched for observational and interventional studies examining healthy lifestyle scores (HLS, calculated by a combination of at least three lifestyles) and psychosocial outcomes among cancer survivors from inception to April 2024. A minimum of two studies with the same study design were pooled using random effects models.

RESULTS

Twenty-one studies (44,812 survivors) were included. Of all studies, 16 of which were included in meta-analysis. The pooling of cross-sectional evidence shows significant association between HLS and overall, physical, and psychosocial HRQOL. Significance was only observed for overall and physical HRQOL but not for psychosocial HRQOL in cohort studies. The estimations and 95% confidence interval (CI) with 1-point increase in HLS were 1.47 (0.83-2.12) and 1.42 (0.19-2.65) for overall and physical HRQOL, respectively. The evidence from interventional studies also indicated that interventions on multiple lifestyles have positive effects on the physical but not psychosocial HRQOL. Despite the limited number of studies, significant associations were found between HLS and depression, anxiety, PD, and PTSD.

CONCLUSIONS

Although evidence is limited, we found that the combination of multiple healthier lifestyles is associated with better psychosocial outcomes in cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

This review underscores the potential for adhering to multiple healthy lifestyles to improve psychosocial outcomes and enhance HRQOL for cancer survivors.

Aging Well? Exploring Self-Reported Quality of Life in the Older Austrian Population Based on Repeated Cross-Sectional Data

Increase in life expectancy around the world puts aging societies with all their challenges on the Global Public Health agenda. In Austria, additional years of life gained are not spent in good health, as healthy life expectancy is far below the European average. Using repeated cross-sectional data from three waves of the Austrian Health Interview Survey (2006, 2014 and 2019), including a total of 10,056 participants aged 65 years and above, this study examined the change in self-reported quality-of-life (QoL) over time and explored associated factors. QoL, estimated by domain scores of the WHOQOL-BREF questionnaire, increased over time but decreased with age in all survey waves. Observed mean scores were significantly higher in males than in females in all QoL domains except the social domain but sex differences disappeared in most domains in the multivariable regression analyses. Instead, factors associated with significantly higher QoL scores included younger age, higher socioeconomic status, living in Western Austria and having no chronic conditions. Statistically significant observed sex differences in QoL in the older-aged Austrian population disappeared when adjusting for income and education. Strategies and measures to increase financial capabilities may have a significant impact on QoL and well-being in this age group.

The Impact of Transcatheter Aortic Valve Implantation on Health Care Costs and Clinical Outcomes Based on Frailty Risk: A Nationwide Cohort Analysis

BACKGROUND

Transcatheter aortic valve implantation (TAVI) is preferred for treating severe aortic stenosis in older, frail populations, yet the impact of frailty on economic and clinical outcomes of TAVI is not well studied.

METHODS

This retrospective cohort study included 2175 TAVI patients from 2015 to 2019, using Korea's National Health Insurance Service database, stratifying patients into low, intermediate, and high-frailty groups, using the Hospital Frailty Risk Score (HFRS). Health care costs, admissions, and total length of hospitalization were analyzed using Wilcoxon-rank test 12 months pre- and post-TAVI. Composite endpoint of death, stroke, and major bleeding, with individual outcomes, were compared using χ2 tests and Kaplan-Meier analysis.

RESULTS

Mean age was 80.2 years, and 47.3% were male; 747 (34.3%) were low frailty, 1159 (53.3%) were moderate frailty, and 269 (12.4%) were high frailty. After TAVI, medical costs decreased in the intermediate- (pre-TAVI: 2,269,000 KRW [$1668 USD], post-TAVI: 1,607,000 KRW [$1181 USD]; P < 0.001) and high-frailty groups (pre-TAVI: 3,949,000 KRW [$2904 USD], post-TAVI: 2,188,000 KRW [$1609 USD]; P < 0.001). All frailty groups had shorter length of hospital stay post-TAVI (26 to 21 days in the low-frailty, 44 to 31 days in the intermediate-frailty, and 65 to 41 days in the high-frailty group; all P <0.001). The composite outcome was higher in the frailer groups (27.8% in the low-frailty vs 31.5% in the intermediate-frailty vs 37.9% in the high-frailty group; P = 0.008). All groups showed comparable rates of cardiovascular death, stroke, or bleeding.

CONCLUSIONS

TAVI is clinically viable and cost-saving treatment option for frail patients with severe aortic stenosis.

The association of a low-inflammatory diet with the trajectory of multimorbidity: a large community-based longitudinal study

BACKGROUND

A proinflammatory diet has been associated with a risk of individual chronic diseases, however, evidence on the association between inflammatory dietary patterns and the trajectory of chronic disease multimorbidity is sparse.

OBJECTIVES

We aimed to investigate the associations of a low-inflammatory diet with the multimorbidity trajectory.

METHODS

Within the UK Biobank, 102,424 chronic disease-free participants (mean age 54.7 ± 7.9 y, 54.8% female) were followed up to detect multimorbidity trajectory (annual change in the number of 59 chronic diseases). Baseline inflammatory diet index (IDI) and empirical dietary inflammatory pattern (EDIP) were separately calculated from the weighted sum of 32 posteriori-derived (15 anti-inflammatory) and 18 prior-defined (9 anti-inflammatory) food groups, and tertiled as low-, moderate-, and high-inflammatory diet. Data were analyzed using linear mixed effects model, Cox model, and Laplace regression with adjustment for potential confounders.

RESULTS

During the follow-up (median 10.23 y), 15,672 and 35,801 participants developed 1 and 2+ chronic conditions, respectively. Adherence to a low-inflammatory diet was associated with decreased multimorbidity risk (hazard ratio [HRIDI] = 0.84, 95% confidence interval [CI]: 0.81, 0.86; HREDIP = 0.91, 95% CI: 0.89, 0.94) and a slower multimorbidity accumulation (βIDI = -0.033, 95% CI: -0.036, -0.029; βEDIP = -0.006, 95% CI: -0.010, -0.003) compared with a high-inflammatory diet, especially in participants aged > 60 y (βIDI = -0.051, 95% CI: -0.059, -0.042; βEDIP = -0.020, 95% CI: -0.029, -0.012; both P-interactions < 0.05). The 50th percentile difference (95% CI) of chronic disease-free survival time was prolonged by 0.81 (0.64, 0.97) and 0.49 (0.34, 0.64) y for participants with a low IDI and EDIP, respectively. Higher IDI and EDIP were associated with the development of 4 and 3 multimorbidity clusters (especially for cardiometabolic diseases), respectively.

CONCLUSIONS

A low-inflammatory diet is associated with a lower risk and slower accumulation of multimorbidity (especially in participants aged > 60 y). A low-inflammatory diet may prolong chronic disease-free survival time.

Self-Care of Older Patients Affected by at Least Two Chronic Conditions Between Heart Failure, Diabetes Mellitus and Chronic Obstructive Pulmonary Disease: A Comparative Study

AIMS

This study aims to describe disease-specific self-care behaviours in patients with heart failure (HF), diabetes mellitus (DM) and chronic obstructive pulmonary disease (COPD) in various combinations; to compare these self-care behaviours within patient groups; and to evaluate differences across these groups.

DESIGN

Cross-sectional study.

METHODS

A total sample of 1079 older patients was recruited from outpatient clinics and home settings. Eligible patients were aged ≥ 65 years and had a diagnosis of HF and/or DM, and/or COPD, along with at least one additional chronic condition. Data were collected using validated tools: the Self-Care of Heart Failure Index, Self-Care of Diabetes Inventory and Self-Care of Chronic Obstructive Pulmonary Disease Inventory. Descriptive statistics were used to analyse disease-specific self-care behaviours. Group comparisons were performed using Student's t-test and univariate, followed by multivariate analyses of variance.

RESULTS

The analysis focused on a subset of 223 patients who had a combination of at least two chronic conditions between HF, DM and/or COPD. The mean age of participants was 77.3 (SD 7.5) years, with a majority being female (53.4%). Self-care maintenance, monitoring and management for HF and COPD were found to be inadequate across all patient groups. Adequate self-care was only observed in DM management among those with HF and DM and in DM maintenance for those with DM and COPD treated with insulin. Significant differences in all self-care dimensions were observed across groups, particularly in patients managing all three conditions (HF, DM and COPD).

CONCLUSIONS

The findings provide valuable insights into the complexities of self-care in patients with multiple chronic conditions, underscoring the need for tailored, integrated and patient-centred interventions. Healthcare strategies should focus on enhancing patient education and developing personalised approaches to improve health outcomes and quality of life in this population.

REPORTING METHOD

All the authors have adhered to the EQUATOR guidelines STROBE Statement.

PATIENT OR PUBLIC CONTRIBUTION

A convenience sample of patients was recruited in outpatient clinics and their homes. Data were collected between March 2017 and August 2022, by face-to-face during routine outpatient visits or directly at the patient's home.

Face and content validity of the EMPOWER-UP questionnaire: a generic measure of empowerment in relational decision-making and problem-solving

BACKGROUND

Decision-making and problem-solving processes are powerful activities occurring daily across all healthcare settings. Their empowering potential is seldom fully exploited, and they may even be perceived as disempowering. We developed the EMPOWER-UP questionnaire to enable assessment of healthcare users' perception of empowerment across health conditions, healthcare settings, and healthcare providers' professional backgrounds. This article reports the initial development of EMPOWER-UP, including face and content validation.

METHODS

Four grounded theories explaining barriers and enablers to empowerment in relational decision-making and problem-solving were reviewed to generate a preliminary item pool, which was subsequently reduced using constant comparison. Preliminary items were evaluated for face and content validity using an expert panel of seven researchers and cognitive interviews in Danish and English with 29 adults diagnosed with diabetes, cancer, or schizophrenia.

RESULTS

A preliminary pool of 139 items was reduced to 46. Independent feedback from expert panel members resulted in further item reduction and modifications supporting content validity and strengthening the potential for generic use. Forty-one preliminary items were evaluated through 29 cognitive interviews, resulting in a 36-item draft questionnaire deemed to have good face and content validity and generic potential.

CONCLUSIONS

Face and content validation using an expert panel and cognitive interviews resulted in a 36-item draft questionnaire with a potential for evaluating empowerment in user-provider interactions regardless of health conditions, healthcare settings, and healthcare providers' professional backgrounds.

Neonatal multimorbidity and the phenotype of premature aging in preterm infants

Multimorbidity is the co-occurrence of multiple chronic health problems, associated with aging, frailty, and poor functioning. Children born preterm experience more multimorbid conditions in early life compared to term-born peers. Though neonatal multimorbidity is linked to poor health-related quality of life, functional outcomes, and peer group participation, gaps in our theoretical understanding and conceptualization remain. Drawing from life course epidemiology and the Developmental Origins of Heath and Disease models, we offer a framework that neonatal multimorbidity reflects maturational vulnerability posed by preterm birth. The impact of such vulnerability on health and development may be further amplified by adverse exposures and interventions within the environment of the neonatal intensive care unit. This can be exacerbated by disadvantaged home or community contexts after discharge. Uncovering the physiologic and social antecedents of multiple morbid conditions in the neonatal period and their biological underpinnings will allow for more accurate risk-prediction, counseling, and care planning for preterm infants and their families. According to this framework, the maturational vulnerability to multimorbidity imparted by preterm birth and its negative effects on health and development are not predetermined or static. Elucidating pathways of early biologic and physical aging will lead to improvements in care and outcomes. IMPACT: Multimorbidity is associated with significant frailty and dysfunction among older adults and is indicative of early physiologic aging. Preterm infants commonly experience multimorbidities in the newborn period, an underrecognized threat to long-term health and development. We offer a novel framework incorporating multimorbidity, early cellular aging, and life course health development to innovate risk-prediction, care-planning, and therapeutics.

Phenotyping Adherence Through Technology-Enabled Reports and Navigation (the PATTERN Study): Qualitative Study for Intervention Adaptation Using the Exploration, Preparation, Implementation, and Sustainment Framework

BACKGROUND

Older adults with multiple chronic conditions (MCC) and polypharmacy often face challenges with medication adherence. Nonadherence can lead to suboptimal treatment outcomes, adverse drug events, and poor quality of life.

OBJECTIVE

To facilitate medication adherence among older adults with MCC and polypharmacy in primary care, we are adapting a technology-enabled intervention previously implemented in a specialty clinic. The objective of this study was to obtain multilevel feedback to inform the adaptation of the proposed intervention (Phenotyping Adherence Through Technology-Enabled Reports and Navigation [PATTERN]).

METHODS

We conducted a formative qualitative study among patients, clinicians, and clinic administrators affiliated with a large academic health center in Chicago, Illinois. Patient eligibility included being aged 65 years or older, living with MCC, and contending with polypharmacy. Eligibility criteria for clinicians and administrators included being employed by any primary care clinic affiliated with the participating health center. Individual semistructured interviews were conducted remotely by a trained member of the study team using interview guides informed by the Exploration, Preparation, Implementation, and Sustainment Framework. Thematic analysis of interview audio recordings drew from the Rapid Identification of Themes from Audio Recordings procedures.

RESULTS

In total, we conducted 25 interviews, including 12 with clinicians and administrators, and 13 with patients. Thematic analysis revealed participants largely found the idea of technology-based medication adherence monitoring to be acceptable and appropriate for the target population in primary care, although several concerns were raised; we discuss these in detail.

CONCLUSIONS

Our medication adherence monitoring intervention, adapted from specialty care, will be implemented in primary care. Formative interviews, informed by the Exploration, Preparation, Implementation, and Sustainment Framework and conducted among patients, clinicians, and administrators, have identified intervention adaptation needs. Results from this study could inform other interventions using the patient portal with older adults.

Priorities for multimorbidity management and research in cancer: a Delphi study of Australian cancer survivors, clinicians, and researchers

PURPOSE

Multimorbidity is common in people with cancer and associated with increased complexity of care, symptoms, mortality, and costs. This study aimed to identify priorities for care and research for cancer survivors with multimorbidity.

METHODS

A Delphi consensus process was conducted. Elements of care and research were based on Australia's National Strategic Framework for Chronic Conditions, a literature review, and expert input. In Round 1, health professionals, cancer survivors, and researchers rated the importance of 18 principles, 9 enablers, and 4 objectives. In Round 2, new elements were rated and all elements were ranked.

RESULTS

In Round 1, all elements reached consensus for care delivery; three principles and one enabler did not reach consensus for research and were eliminated. One principle and two enablers were added, reaching consensus. In the final list, 19 principles, 10 enablers, and 4 objectives were included under care delivery; 14 principles, 9 enablers, and 4 objectives were included under research. For care delivery, principles of 'survivorship' and 'self-management' were ranked highest, and 'peer support' and 'technology' were the most important enablers. For research, 'survivorship' and 'coordinated care' were the highest-ranked principles, with 'peer support' and 'education' the most important enablers.

CONCLUSION

Most elements apply to the general population and cancer survivors; however, additional elements relevant to survivorship need consideration when managing multimorbidity in cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

Chronic disease frameworks should be more inclusive of issues prioritised by people with, managing, or researching cancer through interdisciplinary approaches including acute and primary care.

Experiences of older people with multimorbidity regarding self-management of diseases: A systematic review and qualitative meta-synthesis

AIM

This qualitative systematic review aimed to consolidate existing evidence on the self-management experience of older patients with multimorbidity worldwide.

METHODS

Nine databases were searched, for papers published from database inception to April 2023. The systematic review was conducted according to the systematic review method of qualitative evidence by the Joanna Briggs Institute (JBI).

RESULTS

Seven studies were included. Finally, four themes and 12 subthemes were formed: (1) physical level: reduced physical function and lack of coordinated care; (2) psychological level: mental state of anxiety and positive attitude towards life; (3) social level: technical support, support from family, support from healthcare workers and support from others; and (4) practical level: economic burden, lifestyle changes, self-care in daily life and compliance was much lower than expected.

CONCLUSIONS

To improve self-management in older people with multimorbidity, nurses should provide more guidance to patients to improve their self-management skills, and clinicians should recommend effective self-management behaviours.

Reporting of pre-existing multiple long-term conditions in physical rehabilitation for long COVID: a scoping review

BACKGROUND

Physical rehabilitation may improve health and wellbeing outcomes for some adults living with long COVID. However, individuals living with pre-existing multiple long-term conditions (MLTCs) and long COVID may have additional rehabilitation challenges. This scoping review aims to identify the available evidence describing physical rehabilitation interventions for adults living with long COVID, to systematically map the reporting of pre-existing MLTCs, and to describe the characteristics of physical rehabilitation interventions used in adults with both pre-existing long-term conditions (LTCs) and long COVID.

METHODS

MEDLINE, CINAHL, Scopus, APA PsycInfo, medRxiv, OpenGrey and MedNar were searched from January 2020 to July 2023. Eligibility criteria included adults with long COVID, rehabilitation interventions including a physical component in any setting and any study design investigating interventions or intervention content except case series/reports.

RESULTS

Of 5326 unique records, 50 articles met the inclusion criteria, of which 25 (50%) made reference to pre-existing LTCs. These articles included four protocols and one consensus statement. Four of the remaining 20 studies (20%) reported the number of pre-existing LTCs, enabling the differentiation of individuals with MLTCs. One study reported outcomes of individuals with MLTCs separately to those without. The interventions described (k=24) typically consisted of combined aerobic and strength exercises (k=17 (71%)) in an outpatient setting (k=13 (54%)).

CONCLUSIONS

There is limited and inconsistent reporting of the presence of MLTCs in studies of physical rehabilitation for adults with long COVID. Clarity and consistency of reporting of MLTCs is required to enable evaluation and adaptation of interventions to improve health and wellbeing for this population.

Adherence to a Mediterranean-style diet and severity of menopausal symptoms in perimenopausal and menopausal women from Australia: a cross-sectional analysis

PURPOSE

To explore the independent associations between adherence to a Mediterranean-style diet and severity of menopausal symptoms in perimenopausal and menopausal women living in Australia.

METHODS

Dietary adherence was assessed using the Mediterranean Diet Adherence Screener (MEDAS), the Menopause Rating Scale (MRS) was used to assess the severity of menopausal symptoms, and the 36-item short form survey instrument (SF-36) was used to assess health-related quality of life (HRQoL).

RESULTS

A total of n = 207 participants (50.7 ± 4.3 years; BMI: 28.0 ± 7.4 kg/m2) were included in the final analyses. Participants reported low-moderate adherence to a Mediterranean-style diet (5.2 ± 1.8; range: 1-11). Adherence was not associated with severity of menopausal symptoms. However, low consumption of sugar-sweetened beverages was inversely associated with joint and muscle complaints, independent of all covariates (β = -0.149; CI: -0.118, -0.022; P = 0.042). Adherence to a Mediterranean-style diet was positively associated with the physical function subscale of HRQoL (β = 0.173, CI: 0.001, 0.029; P = 0.031) and a low intake of red and processed meat was positively associated with the general health subscale (β = 0.296, CI: 0.005, 0.014; P = < 0.001).

CONCLUSION

Diet quality may be related to severity of menopausal symptoms and HRQoL in perimenopausal and menopausal women. However, exploration of these findings using longitudinal analyses and robust clinical trials are needed to better elucidate these findings.

Care manager role for older multimorbid heart failure patients' needs in relation to psychological distress and quality of life: a cross-sectional study

Background

There are few studies investigating patients' needs in healthcare focusing on disease severity and psychological characteristics of elderly heart failure (HF) patients with multimorbidity, specifically addressed by a care manager (CM).

Aims

To explore the role of a CM dealing with elderly multimorbid HF patients' needs/preferences according to NYHA class, ejection fraction, psychological/psychosomatic distress and quality of life (QoL), utilizing a Blended Collaborative Care (BCC) approach (ESCAPE; Grant agreement No 945377).

Methods

Cue cards, self-reported questionnaires, and a semi-structured interview were used to collect data.

Results

Twenty-five Italian patients (mean age ± SD = 77.5 ± 6.68) were enrolled between June 2021 and March 2022. The most relevant patients' needs to be addressed by a CM were: education (e.g., on medical comorbidities), individual treatment tailoring (e.g., higher number of appointments with cardiologists) and symptom monitoring.

Conclusion

The study highlights the importance of targeting HF patients' needs according to psychological characteristics, whose healthcare requires person-centered care with CM assistance. In view of ESCAPE BCC intervention, a CM should consider specific patients' needs of elderly multimorbid HF patients with psychological, psychosomatic distress, particularly somatization, and lower QoL to achieve a more personalized health care pathway.

Study registration

The «Evaluation of a patient-centred biopsychosocial blended collaborative care pathway for the treatment of multi-morbid elderly patients» (ESCAPE) study has been registered at the University of Göttingen Medical Centre (UMG Reg. No 02853) and the German Clinical Trials Register (DRKS00025120).

Association between chronic conditions, multimorbidity, and dependence levels in Chinese community-dwelling older adults with functional dependence: a cross-sectional study in south-central China

Background

The rising prevalence of multimorbidity and functional dependence in community-dwelling older adults contribute to the demand for home care services. Evidence on how chronic conditions, especially multimorbidity, affect dependence levels among older adults with functional dependence in a socio-cultural context is much needed to inform policy, workforce, aged care service development to meet the care needs of this population.

Objectives

This study aimed to determine the association between chronic conditions, multimorbidity and dependence levels among Chinese community-dwelling older adults with functional dependence.

Methods

A cross-sectional study was conducted with 1,235 community-dwelling older adults with functional dependence in Hunan province, China, from June to October 2018. Data on socio-demographic factors, cognitive function, vision and hearing conditions, activities of daily living (ADLs), and health conditions were collected, and binary logistic regression analyses were used to determine the association between chronic conditions, multimorbidity and dependence levels, with adjustments for relevant covariates.

Results

Among the participants, 62.9% had multimorbidity. Parkinson's disease, stroke, COPD, hypertension, mood and psychotic disorders (Anx/Sch/Dep) were significantly associated with high levels of functional dependence. After adjusting for demographic variables, cognitive function, vision, and hearing conditions, we observed a significant relationship between multimorbidity and higher functional dependence, but this association became insignificant when including certain chronic diseases closely associated with high-level dependence. Study revealed that Parkinson's disease and stroke notably increase dependency risk across seven ADL domains, demonstrating their extensive impact on daily functioning.

Conclusion

The prevalence of multimorbidity among Chinese community-dwelling older adults with functional dependence is very high. The association of multimorbidity with functional dependence is mediated by specific chronic conditions. These findings highlight the necessity of adopting an integrated care model that combines medical and social care, with a particular emphasis on managing multimorbidity and critical chronic conditions that lead to severe functional dependence to preventing and diminish the onset of disabilities.

Health-related quality of life assessed by EQ-5D-5L and its determinants among Chinese adults

Background

Due to the rising standard of living and advances in public health and medical care in recent years in China, the health-related quality of life (HRQoL) has been increasingly acknowledged as an important part of health management of adults. This study aimed to analyze the HRQoL of Chinese adults and identify the influencing factors, proposing specific recommendations for improvement.

Methods

A cross-sectional study was conducted among 1,291 selected adults from four provinces spanning different regions in China aged ≥18 years from July 2021 and January 2022. The EuroQol-5D-5L (EQ-5D-5L) was used to conduct the HRQoL survey, and a general questionnaire was administered to collect demographic characteristics, general information, and health behaviors of participants. The health utility value was measured, and one-way analysis of variance was performed. The Tobit regression model was employed to analyze the factors influencing the HRQoL of Chinese adults.

Results

The mean health utility values and visual analog scale scores for adults were 0.9400 ± 0.1197 and 84.09 ± 14.392, respectively. Notably, 60.3% of respondents reported no difficulties in any of the five dimensions of EQ-5D. However, a substantial proportion faced challenges in anxiety/depression (27%) and pain/discomfort (26.2%). Tobit regression model revealed that age, marital status, educational level, diet, sleep, mental state, mood, and chronic diseases significantly impact the HRQoL of Chinese adults.

Conclusion

The HRQoL among Chinese adults is generally satisfactory, but pay particular attention on areas such as pain, psychological anxiety, chronic diseases, and negative emotions is needed. The factors such as stress associated with marriage and the demands of high-skilled occupations might influence the overall health of the population. According to our findings, public health strategies to improve HRQoL should be developed to promote relatively healthy environments and lifestyles for older adults. Moreover, proactive measures are crucial for mitigating the potential health impacts associated with marital stress and high-skilled employment.

Mediterranean Diet and Ultra-Processed Food Intake in Older Australian Adults-Associations with Frailty and Cardiometabolic Conditions

Dietary patterns contribute to overall health and diseases of ageing but are understudied in older adults. As such, we first aimed to develop dietary indices to quantify Mediterranean Diet Score (MDS) utilisation and Ultra-processed Food (UPF) intake in a well-characterised cohort of relatively healthy community-dwelling older Australian adults. Second, we aimed to understand the relationship between these scores and the association of these scores with prevalent cardiometabolic disease and frailty. Our major findings are that in this population of older adults, (a) pre-frailty and frailty are associated with reduced MDS and increased UPF intake; (b) adherence to MDS eating patterns does not preclude relatively high intake of UPF (and vice versa); and (c) high utilisation of an MDS eating pattern does not prevent an increased risk of frailty with higher UPF intakes. As such, the Mediterranean Diet pattern should be encouraged in older adults to potentially reduce the risk of frailty, while the impact of UPF intake should be further explored given the convenience these foods provide to a population whose access to unprocessed food may be limited due to socioeconomic, health, and lifestyle factors.

Socioeconomic determinants and self-rated health among hotel housekeepers in the Balearic Islands (Spain)

Background

Hotel housekeepers constitute an important occupational group in the Balearic Islands (Spain). Housekeeping is considered low-skilled and precarious and typically involves high physical demands and time pressure. The aim of this study is to analyze the association between the socioeconomic determinants of health and hotel housekeepers' self-rated health.

Methods

This is a cross-sectional study conducted in Primary Health Care in the Balearic Islands (November 2018-February 2019). Hotel housekeepers over 18 years of age with free access to the Balearic Public Health System who had been employed during 2018 were eligible.

Results

We enrolled 1,043 hotel housekeepers; the mean score of health perceived status was 72.4/100 (SD 19.0). Those with a lower self-perceived health were statistically significant older, had Spanish nationality, lower level of studies, permanent or recurring seasonal contract, financial difficulties, a higher level of occupational stress, an external locus of control, reported work-life balance difficulties, were former smokers, insufficiently physical active and obese. We found lower scores in self-perceived health status score of -7.159 (CI95% -10.20- -4.12) among hotel housekeepers with osteoarthritis; -6.858 (CI95% -11.89- -1.82) among those with chronic depression; -3.697 (CI95% -6.08- -1.31) among those who reported difficulties in work-life balance; -2.414 (CI95% -4.69- -0.13) among participants who performed insufficient physical activity; -2.107 (CI% -4.44- -0.23) among those who reported financial strain. Lower self-rated health was also associated to a higher perceived stress, -1.440 (CI95% -2.09- -0.79); BMI (kg/m2), -0.299 (CI95% -0.53- -0.07); and longer time working as HH -0.177 (CI95% -0.33- -0.03).

Conclusion

Our results underscore the importance of psychosocial (such as difficulties in work-life balance and occupational stress) and material factors (such as financial difficulties) when explaining differences in self-perceived health. Public health interventions aimed at improving health status must consider inequalities in material and working conditions.

The association between primary ovarian insufficiency and increased multimorbidity in a large prospective cohort (Canadian Longitudinal Study on Aging)

OBJECTIVE

To describe the prevalence of multimorbidity among individuals with primary ovarian insufficiency (POI) and early menopause compared with those with the average age of menopause.

DESIGN

Prospective cohort.

SETTING

Outpatient communities across ten provinces across Canada, available from the Canadian Longitudinal Study on Aging.

PATIENT(S)

This prospective cohort encompassed female postmenopausal individuals from the Canadian Longitudinal Study on Aging. The Canadian Longitudinal Study on Aging collected cross-sectional data from 50,000 community-dwelling Canadians aged 45-85 years between 2010 and 2015.

INTERVENTION(S)

The primary exposure was POI (defined by onset of menopause at the age of <40 years). Comparators included average age of menopause (age, 46-55 years), early menopause (40-45 years), and late-onset menopause (56-65 years) and those who underwent hysterectomy.

MAIN OUTCOME MEASURE(S)

The primary outcome was multimorbidity, which was defined as two or more chronic conditions. The secondary outcomes were severe multimorbidity (defined as 3 or more chronic conditions) and frequencies of specific chronic conditions among a comprehensive list of 15 individual conditions. We assessed the association between multimorbidity and age at menopause using logistic regression and odds ratios (ORs), with confidence intervals (CIs) set at 95%. The ORs were adjusted for known predictors of multimorbidity, including age, menopausal hormone therapy, education, ethnicity, self-reported loneliness, living alone, body mass index, smoking habits, nutritional risk, social participation, and physical activity.

RESULT(S)

A total of 12,339 postmenopausal participants were included, of whom 374 (3.0%) experienced POI and 1,396 (11.3%) experienced early menopause. The prevalence rates of multimorbidity were 64.8% and 51.1% among those with POI and early menopause, respectively. In contrast, only 43.9% of individuals with average age of menopause (age, 46-55 years) had multimorbidity. The OR for multimorbidity in the POI population was 2.5 (95% CI, 2.0-3.1) compared with that in individuals who had the average age of menopause. This relationship was maintained after adjustment for confounders (adjusted OR [aOR], 2.0; 95% CI, 1.5-2.5). The prevalence of severe multimorbidity was also double in the POI group compared with that in the average age group (39.2% vs. 21.1%). There were significantly increased risks of ischemic heart disease (aOR, 2.8; 95% CI, 1.7-4.7), gastric ulcers (aOR, 1.6; 95% CI, 1.1-2.3), and osteoporosis (aOR, 1.6; 95% CI, 1.2-2.1) in the POI group.

CONCLUSION(S)

Individuals with POI and early menopause experience increased multimorbidity compared with those undergoing menopause at an average age. This trend persists even after adjusting for significant multimorbidity risk factors.

Neighborhood environment and quality of life of older adults in eastern Nepal: findings from a cross-sectional study

INTRODUCTION

Quality of life (QoL) is a subjective measure reflecting individuals' evaluations based on their personal goals and values. While global research shows the role of neighborhood factors like ethnic diversity and socio-cultural dynamics on QoL, these are unexplored in the Nepali context. Therefore, this study examined the relationship between neighborhood environment and QoL among Nepali older adults in eastern Nepal.

METHODS

This cross-sectional study involved 847 non-institutionalized older adults (aged ≥ 60 years) from two districts in eastern Nepal. QoL was evaluated using the 13-item brief Older People's Quality of Life questionnaire, where a mean score of < 3 indicated low/poor QoL. The neighborhood environment, conceptualized across three domains (demographic, socio-cultural, and built environment), included ethnic diversity, connections with family, friends, and neighbors, cultural ties, residential stability, and rurality. Their association with QoL was examined using multivariable logistic regression.

RESULTS

Around 20% of older adults reported poor QoL. Higher ethnic diversity (adjusted Odds Ratio [aOR] = 0.12, 95% confidence interval [CI]: 0.04-0.36), moderate contact with family and relatives (aOR = 0.26, CI: 0.11-0.61), and high contact with neighbors (aOR = 0.09, CI: 0.03-0.21) were associated with lower odds of poor QoL. Conversely, high contact with friends (aOR = 2.29, CI: 1.30-4.04) and unstable residence (OR = 6.25, CI: 2.03-19.23) increased the odds of poor QoL. Additionally, among the covariates, chronic disease, tobacco use, unemployment, and lack of education were also significantly associated with poor QoL.

CONCLUSION

Overall, the demographic environment, socio-cultural factors, and the built environment of the neighborhood influence QoL. Therefore, diversifying the neighborhood's ethnic composition, promoting social connections such as frequent contact with family, relatives, and neighbors, and ensuring residential stability can enhance the QoL of older adults.

Health-related quality of life in patients with neovascular age-related macular degeneration: a prospective cohort study

BACKGROUND

Neovascular age-related macular degeneration (nAMD) is a common cause of visual impairment and blindness in the elderly with globally increasing prevalence. Vascular endothelial growth factor inhibitor (anti-VEGF) treatment has improved visual prognosis of nAMD, but continuous treatment may cause anxiety and stress, although increase in visual acuity (VA) may also have positive effects on patients' quality of life. The health care burden due to frequent treatment and monitoring is apparent, but the effect of anti-VEGF treatment on patients' quality of life is not fully understood. We evaluated the overall impact of nAMD and its treatment on newly diagnosed patients' health-related quality of life (HRQoL) in real-world setting.

METHODS

The present prospective cohort study included newly diagnosed nAMD patients treated with anti-VEGF injections at Oulu University Hospital during 2019-2020. Data included parameters from comprehensive ophthalmic examination and fundus imaging, age at diagnosis, sex, comorbidities, visual acuity, and frequency of anti-VEGF injections. HRQoL was assessed by 15D questionnaire at diagnosis, 6 months, and 12 months.

RESULTS

95 nAMD patients were included. They were 78 ± 8 years old, 56 (59%) were female, and 74 (78%) had more than one comorbidity. The patients received 8 ± 3 anti-VEGF-injections. Visual acuity (VA) improved from 56 ± 18 to 61 ± 24 Early treatment diabetic retinopathy study (ETDRS) letters in 12 months. VA improved > 5 ETDRS letters in 45 (47%), remained stable in 30 (32%) and decreased > 5 letters in 17 (18%) eyes. The mean total 15D score reflecting overall HRQoL decreased from 0.850 ± 0.104 to 0.834 ± 0.103 in 12 months. Decreased HRQoL was associated with baseline best-corrected VA (BCVA) ≥ 70 ETDRS letters (p = 0.023) and more than one comorbidity (p = 0.034). HRQoL regarding visual function increased from 0.765 ± 0.194 to 0.789 ± 0.184 during the 12-month follow-up.

CONCLUSIONS

In real world setting, HRQoL regarding visual function improved in anti-VEGF-treated nAMD patients during the first 12 months after the diagnosis and treatment initiation. Good baseline VA or several comorbidities were associated with decreased overall HRQoL during the follow-up. Despite the effectiveness of anti-VEGF treatment on visual function, several other aspects affecting elderly patients' everyday life should be considered when nAMD treatment is implemented.

Chronic health conditions and disability are prevalent among community users of a digital mental health service: a scoping survey

Objectives: Digital interventions can offer accessible and scalable treatment for chronic conditions, though often focus separately on physical or mental health. People accessing digital health services may live with multiple conditions or experience overlapping symptoms. This study aimed to describe the breadth and characteristics of chronic health conditions and self-reported disability among routine users of a digital mental health service, and to examine related motivations to engage with digital mental health interventions.

Methods: A cross-sectional survey of adults registered with a digital mental health service in the Australian community (THIS WAY UP) was conducted. Participant demography, chronic health conditions, self-reported disability and motivations for accessing digital treatment were collected and analyzed descriptively.

Results: 366 participants responded (77% female, mean age 50 ± 15 years). 71.6% of participants (242/338) reported ≥1 chronic health condition and one-third reported multimorbidity (112/338, 33.1%). Chronic pain, musculoskeletal and connective tissue disorders were most common. 26.9% of respondents (90/334) reported a disability, most commonly physical disabilities. 95% of those with chronic conditions reported negative mental health effects and 46% reported heightened interest in digital mental health treatments because of their condition. Primary motivations for digital service use were receiving a recommendation from a health professional and service accessibility.

Discussion: People who access digital mental health services in routine care report high rates of heterogenous chronic illness and related disability. There is interest in accessible digital treatments to support mental health at scale among people who live with varied chronic conditions and disabilities.

The Effectiveness of Collaborative Care Interventions for the Management of Patients With Multimorbidity: Protocol for a Systematic Review, Meta-Analysis, and Meta-Regression Analysis

BACKGROUND

Collaborative care interventions have been proposed as a promising strategy to support patients with multimorbidity. Despite this, the effectiveness of collaborative care interventions requires further evaluation. Existing systematic reviews describing the effectiveness of collaborative care interventions in multimorbidity management tend to focus on specific interventions, patient subgroups, and settings. This necessitates a comprehensive review that will provide an overview of the effectiveness of collaborative care interventions for adult patients with multimorbidity.

OBJECTIVE

This systematic review aims to systematically assess the effectiveness of collaborative care interventions in comparison to usual care concerning health-related quality of life (HRQoL), mental health, and mortality among adult patients with multimorbidity.

METHODS

Randomized controlled trials evaluating collaborative care interventions designed for adult patients (18 years and older) with multimorbidity compared with usual care will be considered for inclusion in this review. HRQoL will be the primary outcome. Mortality and mental health outcomes such as rating scales for anxiety and depression will serve as secondary outcomes. The systematic search will be conducted in the CENTRAL, PubMed, CINAHL, and Embase databases. Additional reference and citation searches will be performed in Google Scholar, Web of Science, and Scopus. Data extraction will be comprehensive and include information about participant characteristics, study design, intervention details, and main outcomes. Included studies will be assessed for limitations according to the Cochrane Risk of Bias tool. Meta-analysis will be conducted to estimate the pooled effect size. Meta-regression or subgroup analysis will be undertaken to explore if certain factors can explain the variation in effect between studies, if feasible. The certainty of evidence will be evaluated using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach.

RESULTS

The preliminary literature search was performed on February 16, 2024, and yielded 5255 unique records. A follow-up search will be performed across all databases before submission. The findings will be presented in forest plots, a summary of findings table, and in narrative format. This systematic review is expected to be completed by late 2024.

CONCLUSIONS

This review will provide an overview of pooled estimates of treatment effects across HRQoL, mental health, and mortality from randomized controlled trials evaluating collaborative care interventions for adults with multimorbidity. Furthermore, the intention is to clarify the participant, intervention, or study characteristics that may influence the effect of the interventions. This review is expected to provide valuable insights for researchers, clinicians, and other decision-makers about the effectiveness of collaborative care interventions targeting adult patients with multimorbidity.

TRIAL REGISTRATION

International Prospective Register of Systematic Reviews (PROSPERO) CRD42024512554; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=512554.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/58296.

The Dietary Inflammatory Index and Its Associations with Biomarkers of Nutrients with Antioxidant Potential, a Biomarker of Inflammation and Multiple Long-Term Conditions

We aimed to validate the Dietary Inflammatory Index (DII®) and assess the cross-sectional associations between the DII® and multiple long-term conditions (MLTCs) and biomarker concentrations and MLTCs using data from the European Prospective Investigation into Cancer (EPIC-Norfolk) study (11,113 men and 13,408 women). The development of MLTCs is associated with low-grade chronic inflammation, and ten self-reported conditions were selected for our MLTC score. Data from a validated FFQ were used to calculate energy-adjusted DII® scores. High-sensitivity C-reactive protein (hs-CRP) and circulating vitamins A, C, E, β-carotene and magnesium were available. Micronutrient biomarker concentrations were significantly lower as the diet became more pro-inflammatory (p-trend < 0.001), and hs-CRP concentrations were significantly higher in men (p-trend = 0.006). A lower DII® (anti-inflammatory) score was associated with 12-40% higher odds of MLTCs. Lower concentrations of vitamin C and higher concentrations of hs-CRP were associated with higher odds of MLTCs. The majority of the associations in our study between MLTCs, nutritional biomarkers, hs-CRP and the DII® were as expected, indicating that the DII® score has criterion validity. Despite this, a more anti-inflammatory diet was associated with higher odds of MLTCs, which was unexpected. Future studies are required to better understand the associations between MLTCs and the DII®.

Association of latent class analysis-derived multimorbidity clusters with adverse health outcomes in patients with multiple long-term conditions: comparative results across three UK cohorts

Background

It remains unclear how to meaningfully classify people living with multimorbidity (multiple long-term conditions (MLTCs)), beyond counting the number of conditions. This paper aims to identify clusters of MLTCs in different age groups and associated risks of adverse health outcomes and service use.

Methods

Latent class analysis was used to identify MLTCs clusters in different age groups in three cohorts: Secure Anonymised Information Linkage Databank (SAIL) (n = 1,825,289), UK Biobank (n = 502,363), and the UK Household Longitudinal Study (UKHLS) (n = 49,186). Incidence rate ratios (IRR) for MLTC clusters were computed for: all-cause mortality, hospitalisations, and general practice (GP) use over 10 years, using <2 MLTCs as reference. Information on health outcomes and service use were extracted for a ten year follow up period (between 01st Jan 2010 and 31st Dec 2019 for UK Biobank and UKHLS, and between 01st Jan 2011 and 31st Dec 2020 for SAIL).

Findings

Clustering MLTCs produced largely similar results across different age groups and cohorts. MLTC clusters had distinct associations with health outcomes and service use after accounting for LTC counts, in fully adjusted models. The largest associations with mortality, hospitalisations and GP use in SAIL were observed for the "Pain+" cluster in the age-group 18-36 years (mortality IRR = 4.47, hospitalisation IRR = 1.84; GP use IRR = 2.87) and the "Hypertension, Diabetes & Heart disease" cluster in the age-group 37-54 years (mortality IRR = 4.52, hospitalisation IRR = 1.53, GP use IRR = 2.36). In UK Biobank, the "Cancer, Thyroid disease & Rheumatoid arthritis" cluster in the age group 37-54 years had the largest association with mortality (IRR = 2.47). Cardiometabolic clusters across all age groups, pain/mental health clusters in younger groups, and cancer and pulmonary related clusters in older age groups had higher risk for all outcomes. In UKHLS, MLTC clusters were not significantly associated with higher risk of adverse outcomes, except for the hospitalisation in the age-group 18-36 years.

Interpretation

Personalising care around MLTC clusters that have higher risk of adverse outcomes may have important implications for practice (in relation to secondary prevention), policy (with allocation of health care resources), and research (intervention development and targeting), for people living with MLTCs.

Funding

This study was funded by the National Institute for Health and Care Research (NIHR; Personalised Exercise-Rehabilitation FOR people with Multiple long-term conditions (multimorbidity)-NIHR202020).

Younger but sicker? Cohort trends in disease accumulation among middle-aged and older adults in Scotland using health-linked data from the Scottish Longitudinal Study

BACKGROUND

In the United Kingdom, rising prevalence of multimorbidity-the co-occurrence of two or more chronic conditions- is coinciding with stagnation in life expectancy. We investigate patterns of disease accumulation and how they vary by birth cohort, social and environmental inequalities in Scotland, a country which has long suffered from excess mortality and poorer health outcomes relative to its neighbours.

METHODS

Using a dataset which links census data from 1991, 2001 and 2011 to disease registers and hospitalization data, we follow cohorts of adults aged 30-69 years for 18 years. We model physical and mental disease accumulation using linear mixed-effects models.

RESULTS

Recent cohorts experience higher levels of chronic disease accumulation compared to their predecessors at the same ages. Moreover, in more recently born cohorts we observe socioeconomic status disparities emerging earlier in the life course, which widen over time and with every successive cohort. Patterns of chronic conditions are also changing, and the most common diseases suffered by later born cohorts are cancer, hypertension, asthma, drug and alcohol problems and depression.

CONCLUSION

We recommend policies which target prevention of chronic disease in working age adults, considering how and why certain conditions are becoming more prevalent across time and space.

A call for caution when using network methods to study multimorbidity: an illustration using data from the Canadian Longitudinal Study on Aging

OBJECTIVES

To examine the impact of two key choices when conducting a network analysis (clustering methods and measure of association) on the number and type of multimorbidity clusters.

STUDY DESIGN AND SETTING

Using cross-sectional self-reported data on 24 diseases from 30,097 community-living adults aged 45-85 from the Canadian Longitudinal Study on Aging, we conducted network analyses using 5 clustering methods and 11 association measures commonly used in multimorbidity studies. We compared the similarity among clusters using the adjusted Rand index (ARI); an ARI of 0 is equivalent to the diseases being randomly assigned to clusters, and 1 indicates perfect agreement. We compared the network analysis results to disease clusters independently identified by two clinicians.

RESULTS

Results differed greatly across combinations of association measures and cluster algorithms. The number of clusters identified ranged from 1 to 24, with a low similarity of conditions within clusters. Compared to clinician-derived clusters, ARIs ranged from -0.02 to 0.24, indicating little similarity.

CONCLUSION

These analyses demonstrate the need for a systematic evaluation of the performance of network analysis methods on binary clustered data like diseases. Moreover, in individual older adults, diseases may not cluster predictably, highlighting the need for a personalized approach to their care.

Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives

Disease trajectories, defined as sequential, directional disease associations, have become an intense research field driven by the availability of electronic population-wide healthcare data and sufficient computational power. Here, we provide an overview of disease trajectory studies with a focus on European work, including ontologies used as well as computational methodologies for the construction of disease trajectories. We also discuss different applications of disease trajectories from descriptive risk identification to disease progression, patient stratification, and personalized predictions using machine learning. We describe challenges and opportunities in the area that eventually will benefit from initiatives such as the European Health Data Space, which, with time, will make it possible to analyze data from cohorts comprising hundreds of millions of patients.

Measures of nutrition status and health for weight-inclusive patient care: A narrative review

In healthcare, weight is often equated to and used as a marker for health. In examining nutrition and health status, there are many more effective markers independent of weight. In this article, we review practical and emerging clinical applications of technologies and tools used to collect non-weight-related data in nutrition assessment, monitoring, and evaluation in the outpatient setting. The aim is to provide clinicians with new ideas about various types of data to evaluate and track in nutrition care.

Multimorbidity patterns and associated factors in a megacity: a cross-sectional study

OBJECTIVE

To identify empirical patterns of multimorbidity and quantify their associations with socioeconomic, behavioral characteristics, and health outcomes in the megacity of São Paulo.

METHODS

This was a cross-sectional study conducted through household interviews with residents aged 20 years or older in urban areas (n = 3,184). Latent class analysis was used to identify patterns among the co-existence of 22 health conditions. Age-adjusted prevalence ratios were estimated using Poisson regression.

RESULTS

The analysis of latent classes showed 4 patterns of multimorbidity, whereas 58.6% of individuals were classified in the low disease probability group, followed by participants presenting cardiovascular conditions (15.9%), respiratory conditions (12.8%), and rheumatic, musculoskeletal, and emotional conditions (12.8%). Older individuals, with lower schooling and lower household income, presented higher multimorbidity prevalence in cardiovascular, respiratory, rheumatic, musculoskeletal, and emotional conditions patterns compared with the low disease probability pattern.

CONCLUSION

The results showed four distinct patterns of multimorbidity in the megacity population, and these patterns are clinically recognizable and theoretically plausible. The identification of trends between patterns would make it feasible to estimate the magnitude of the challenge for the organization of health care policies.

Interactions between patterns of multimorbidity and functional status among hospitalized older patients: a novel approach using cluster analysis and association rule mining

BACKGROUND

Multimorbidity (MM) is generally defined as the presence of 2 or more chronic diseases in the same patient and seems to be frequently associated with frailty and poor quality of life. However, the complex interplay between MM and functional status in hospitalized older patients has not been fully elucidated so far. Here, we implemented a 2-step approach, combining cluster analysis and association rule mining to explore how patterns of MM and disease associations change as a function of disability.

METHODS

This retrospective cohort study included 3366 hospitalized older patients discharged from acute care units of Ancona and Cosenza sites of Italian National Institute on Aging (INRCA-IRCCS) between 2011 and 2017. Cluster analysis and association rule mining (ARM) were used to explore patterns of MM and disease associations in the whole population and after stratifying by dependency in activities of daily living (ADL) at discharge. Sensitivity analyses in men and women were conducted to test for robustness of study findings.

RESULTS

Out of 3366 included patients, 78% were multimorbid. According to functional status, 22.2% of patients had no disability in ADL (functionally independent group), 22.7% had 1 ADL dependency (mildly dependent group), and 57.4% 2 or more ADL impaired (moderately-severely dependent group). Two main MM clusters were identified in the whole general population and in single ADL groups. ARM revealed interesting within-cluster disease associations, characterized by high lift and confidence. Specifically, in the functionally independent group, the most significant ones involved atrial fibrillation (AF)-anemia and chronic kidney disease (CKD) (lift = 2.32), followed by coronary artery disease (CAD)-AF and heart failure (HF) (lift = 2.29); in patients with moderate-severe ADL disability, the most significant ARM involved CAD-HF and AF (lift = 1.97), thyroid dysfunction and AF (lift = 1.75), cerebrovascular disease (CVD)-CAD and AF (lift = 1.55), and hypertension-anemia and CKD (lift = 1.43).

CONCLUSIONS

Hospitalized older patients have high rates of MM and functional impairment. Combining cluster analysis to ARM may assist physicians in discovering unexpected disease associations in patients with different ADL status. This could be relevant in the view of individuating personalized diagnostic and therapeutic approaches, according to the modern principles of precision medicine.