Multimorbidity

Drug metabolizing enzymes pharmacogenetic variation-informed antidepressant therapy approach for common mental disorders: A systematic review and meta-analysis

IMPORTANCE

Currently, 30-50 % of individuals with depression and 40 % with anxiety-collectively referred to as common mental disorders (CMDs), exhibit inadequate responses to antidepressant treatments.

OBJECTIVE

To assess the effectiveness and safety of drug-metabolizing enzyme pharmacogenetic variation informed treatment (PGxIT) versus usual antidepressant treatment (UT) in patients with CMDs.

DATA SOURCES

A literature search was conducted in the MEDLINE, Scopus, and Cochrane Library databases from inception until January 30, 2024.

STUDY SELECTION

Studies were selected based on CMD diagnoses, reporting on the genetic variations of drug-metabolizing enzyme (DME) genes in relation to antidepressants, involving PGxIT and UT groups with human subjects, and published in English.

DATA EXTRACTION AND SYNTHESIS

Data extraction and quality assessment were performed independently by two authors. A pooled risk ratio (RR) with 95 % CI was estimated using both random and fixed-effect models, and heterogeneity was assessed using Cochran's Q test and the I2 statistic. The publication bias of eligible studies was assessed using post hoc Doi plots and the LFK index.

RESULTS

This systematic review included 18 studies (n = 7021). The PGxIT demonstrated greater efficacy in the remission of symptoms of depressive disorder at 8 weeks (RR 1.523 [95 % CI: 1.255-1.843]; I2 = 48 %) and 12 weeks (RR 1.631 [95 % CI: 1.001-2.657]; I2 = 86 %; p < 0.01), and symptoms of anxiety disorder compared to UT. Additionally, the risk of adverse drug events (ADEs) was significantly lower in the PGxIT group (RR = 0.65 [95 % CI: 0.52-0.82]; I2 = 0 %) than in the UT group. The certainty of evidence for both outcomes was moderate.

CONCLUSIONS AND RELEVANCE

This systematic review and meta-analysis suggest that pharmacogenetically guided antidepressant treatment, based on genetic variation in drug-metabolizing enzymes, is associated with superior efficacy in the remission of symptoms for patients with depressive disorders and a reduction in ADEs compared to usual treatment and the findings of the systematic review for remission in anxiety disorders indicate that, PGx guided treatment is also associated with increased remission of symptoms in anxiety disorders compared to usual treatment.

Comorbidity Patterns in Chronic Obstructive Pulmonary Disease and Their Associations with Service Utilization

BACKGROUND

The prevalence of combinations of comorbidities and their associations with inpatient service utilization and readmission among patients with chronic obstructive pulmonary disease (COPD) have not been extensively examined. To address this gap in knowledge, an observational prospective study was conducted using retrospective data.

AIMS

To identify patterns of comorbidities linked to length of hospital stay, daily expenses, and one-year readmission.

METHODS

The 30 most common comorbidities were identified in patients with secondary diagnoses using the association rule mining (ARM) method. Regression models were used to examine the relationships between combinations of comorbidities and service utilization, with adjustments for covariates.

RESULTS

The five most prevalent comorbidities were pulmonary heart disease (40.99%), ischemic heart disease (38.97%), heart failure (36.77%), hypertension (34.11%), and respiratory disorders (19.12%). Most combinations of comorbidities identified by ARM showed significant associations with an extended length of stay (>13 days), increased daily expenses (>930 CNY), and reduced readmission rates. Among these combinations, glycoprotein metabolism disorder had the strongest association with prolonged length of stay (adjusted odds ratio [aOR]): 1.89, 95% confidence interval [CI]: 1.82-1.95). Conversely, the combination of other brain diseases and respiratory failure was linked to higher daily expenses (aOR: 11.34, 95% CI: 10.58-12.15), and the presence of pulmonary heart disease was associated with elevated one-year readmission rates (aOR: 1.41, 95% CI: 1.37-1.46).

CONCLUSION

Common combinations of comorbidities among inpatients with COPD were identified from an extensive collection of discharge medical records. Furthermore, the associations between comorbidities, inpatient service usage, and readmission rates were determined.

An ethical assessment of professional opinions on concerns, chances, and limitations of the implementation of an artificial intelligence-based technology into the geriatric patient treatment and continuity of care

With the introduction of an artificial intelligence-based dashboard into the clinic, the project SURGE-Ahead responds to the importance of improving perioperative geriatric patient treatment and continuity of care. The use of artificial intelligence to process and analyze data automatically, aims at an evidence-based evaluation of the patient's health condition and recommending treatment options. However, its development and introduction raise ethical questions. To ascertain professional perspectives on the clinical use of the dashboard, we have conducted 19 semi-structured qualitative interviews with head physicians, computer scientists, jurists, and ethicists. The application of a qualitative content analysis and thematic analysis enabled the detection of main ethical concerns, chances, and limitations. These ethical considerations were categorized: changes of the patient-physician relationship and the current social reality are expected, causing de-skilling and an active participation of the artificial intelligence. The interviewees anticipated a redistribution of human resources, time, knowledge, and experiences as well as expenses and financing. Concerns of privacy, accuracy, transparency, and explainability were stated, and an insufficient data basis, an intensifying of existing inequalities and systematic discrimination considering a fair access emphasized. Concluding, the patient-physician relationship, social reality, redistribution of resources, fair access, as well as data-related aspects of the artificial intelligence-based system could conflict with the ethical principles of autonomy, non-maleficence, beneficence, and social justice. To respond to these ethical concerns, a responsible use of the dashboard and a critical verification of therapy suggestions is mandatory, and the application limited by questions at the end of life and taking life-changing decisions.

COVID-19 vaccination and long COVID among 50 years older and above European: The role of chronic multimorbidity

BACKGROUND AND AIMS

We aimed to explore the association between coronavirus disease-19 (COVID-19) vaccination and long COVID according to the status of chronic multimobidity.

METHODS

A total of 1913 participants were recruited in the cross-sectional study on the basis of the Survey of Health and Retirement in Europe. COVID-19 vaccination was defined as vaccination within the last 12 months. Chronic multimorbidity was defined as history of 2 + chronic disease. The study outcome was long COVID during the 12-month follow-up. Multivariable logistic models were performed to estimate the influence of chronic multimorbidity on the association of vaccination with long COVID. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated.

RESULTS

Chronic multimorbidity significantly modified the association of COVID-19 vaccination with long COVID (Pinteraction = 0.024). The rates of study outcome were significantly lower among vaccinated participants in the chronic multimorbidity subgroup, but not in the other subgroup. Multivariable odds ratios (95 % confidence intervals) of study outcome for unvaccination vs. vaccination were 1.494 (1.013-2.203) in those with multimorbidity and 0.915 (0.654-1.280) in those without multimorbidity, respectively. Adding COVID-19 vaccination to a model containing conventional risk factors significantly improved risk reclassification for study outcome among those with chronic multimobidity (continuous NRI was 25.39 % [P = 0.002] and IDI was 0.42 % [P = 0.075]) CONCLUSION: An inverse association of COVID-19 vaccination with long COVID was found among participants with chronic multimorbidity, but not among those without chronic multimorbidity. Chronic multimorbidity might expand the influence of unvaccination on developing long COVID among European aged ≥50 years.

PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis

OBJECTIVES

To address the need for interactive visualization tools and databases in characterizing multimorbidity patterns across different populations, we developed the Phenome-wide Multi-Institutional Multimorbidity Explorer (PheMIME). This tool leverages three large-scale EHR systems to facilitate efficient analysis and visualization of disease multimorbidity, aiming to reveal both robust and novel disease associations that are consistent across different systems and to provide insight for enhancing personalized healthcare strategies.

MATERIALS AND METHODS

PheMIME integrates summary statistics from phenome-wide analyses of disease multimorbidities, utilizing data from Vanderbilt University Medical Center, Mass General Brigham, and the UK Biobank. It offers interactive and multifaceted visualizations for exploring multimorbidity. Incorporating an enhanced version of associationSubgraphs, PheMIME also enables dynamic analysis and inference of disease clusters, promoting the discovery of complex multimorbidity patterns. A case study on schizophrenia demonstrates its capability for generating interactive visualizations of multimorbidity networks within and across multiple systems. Additionally, PheMIME supports diverse multimorbidity-based discoveries, detailed further in online case studies.

RESULTS

The PheMIME is accessible at https://prod.tbilab.org/PheMIME/. A comprehensive tutorial and multiple case studies for demonstration are available at https://prod.tbilab.org/PheMIME_supplementary_materials/. The source code can be downloaded from https://github.com/tbilab/PheMIME.

DISCUSSION

PheMIME represents a significant advancement in medical informatics, offering an efficient solution for accessing, analyzing, and interpreting the complex and noisy real-world patient data in electronic health records.

CONCLUSION

PheMIME provides an extensive multimorbidity knowledge base that consolidates data from three EHR systems, and it is a novel interactive tool designed to analyze and visualize multimorbidities across multiple EHR datasets. It stands out as the first of its kind to offer extensive multimorbidity knowledge integration with substantial support for efficient online analysis and interactive visualization.

Clinically sound and person centred: streamlining clinical decision support guidance for multiple long-term condition care

The care of people with multiple long-term conditions (MLTCs) is complex and time-consuming, often denying them the agency to self-manage their conditions-or for the clinician they visit to provide streamlined, person-centred care. We reconfigured The Practical Approach to Care Kit, our established, evidence-based, policy-aligned clinical decision support tool for low-resource primary care settings, to provide consolidated clinical guidance for a patient journey through a primary care facility. This places the patient at the centre of that journey and shifts the screening, monitoring and health education activities of multimorbidity care more equitably among the members of the primary care team. This work forms part of a study called ENHANCE, exploring how best to streamline MLTC care in South Africa with its high burden of communicable, non-communicable and mental health conditions. This practice paper describes the four steps of codeveloping this clinical decision support tool for eleven common long-term conditions with local stakeholders (deciding the approach, constructing the content, clinical editing, and design and formatting) along with the features of the tool designed to facilitate its usability at point of care. The process highlighted tensions around prioritising one condition over another, curative over preventive treatment and pharmacological therapies over advice-giving, along with the challenges of balancing the large volume of content with a person-centred approach. If successful, the tool could augment the response to MLTC care in South Africa and other low-resource settings. In addition, our development process may contribute to scant literature around methodologies for clinical decision support development.

Association between healthy lifestyle on life course and multimorbidity in adults: results from two national prospective cohort studies

OBJECTIVES

To examine the correlation between healthy lifestyle patterns, their change trajectories, and the risk of multimorbidity in adults.

METHODS

Based on two representative national cohorts, the English Longitudinal Study of Aging (ELSA) and the Health and Retirement Study (HRS) including adults aged 50 years and over. We employed Cox regression, lifestyle change trajectories, and restricted mean survival times to explore the relationship between lifestyle (assessed by SCORE2, LE'8, and HLS scores) and multimorbidity. We also conducted mediation analysis to investigate the underlying mechanisms.

RESULTS

A healthy lifestyle (higher LE'8, higher HLS, or lower SCORE2) can reduce the risk of multimorbidity. 2-10% lower multimorbidity risk per one-point increase in LE'8 and HLS. The hazard ratio of multimorbidity for improvements in unhealthy lifestyles or deterioration in healthy lifestyles compared to always healthy lifestyles ranged from 1.598 to 5.602. Besides, for LE'8 and HLS, participants with higher scores had a slower decrease in survival probability in ELSA. Triglyceride, C-reaction protein, fibrinogen, and cystatin C partly mediate the association between lifestyle and multimorbidity.

CONCLUSIONS

Keeping a healthy lifestyle over time can help reduce the risk of multimorbidity.

Unlike other medical conditions, type 2 diabetes is a risk factor for new-onset major depression after COVID-19

OBJECTIVE

It is unclear whether pre-COVID medical conditions are risk factors for post-COVID major depressive episode (MDE). We aimed to determine which pre-COVID medical conditions are risk factors for post-COVID MDE after a hospitalization for COVID-19.

METHODS

We conducted a nested retrospective case-cohort study within a cohort of 650 patients evaluated six months after hospitalization for COVID-19 at Bicêtre hospital, France. Nine medical conditions present before COVID-19 (High blood pressure, obesity, type 2 diabetes, cardiac, respiratory and renal disease, immune deficiency, neoplasia and liver disease) were extracted from medical records. MDE was assessed using the Structured Clinical Interview for DSM-5 Disorders-Clinician Version (SCID-5-CV). Bivariate and multivariable analyses were performed to determine which pre-COVID medical conditions are independent risk factors for post-COVID new-onset MDE.

RESULTS

Patients mean age was 62.8 (15.8), 258 (39.7 %) were women; 301 (46.3 %) had high blood pressure, 205 (32.4 %) had obesity, and 186 (28.6 %) had type 2 diabetes. Thirty-six (5.5 %) patients were diagnosed with a new-onset MDE. In contrast to other medical conditions, type 2 diabetes was significantly associated with new-onset MDE (OR = 2.51 [1.19-5.29]).

CONCLUSION

Unlike other pre-COVID medical conditions, type 2 diabetes is a risk factor for post-COVID MDE. Patients with type 2 diabetes should be screened for MDE after a hospitalization for COVID-19.

Socioeconomic inequalities in health problems in the first two years of life: Pelotas (Brazil) birth cohort, 2015

Brazil is characterized by an unfinished agenda of health inequalities, which impact health problems in the childhood. This study aimed to evaluate the socioeconomic inequalities of health problems in the early childhood. This is a prospective study, using data from the birth cohort carried out in the city of Pelotas (Rio Grande do Sul State, Brazil) in 2015. The outcomes were health problems presented at 12 and 24 months: cough, breathing difficulty, diarrhea, ear pain, pneumonia, urinary infection, hospitalization, and other health problems. Socioeconomic inequalities were measured applying the slope index of inequality (SII) and the concentration index (CIX), with wealth index and maternal schooling being the socioeconomic variables. The inequalities in the number of health problems were evaluated by Poisson regression. The perinatal sample comprised 4,275 children. At 12 months approximately 74% of the children presented 1 or more health problems, while at 24 months, approximately 44% presented 2 or more health problems. For all period, the mean number of health problems was 2.9 (standard deviation = 2.0). Higher frequencies were observed for children belonging to the poorest income quintile and with lower maternal education, except for 1 or more health problems at 24 months. The greatest absolute and relative inequality was observed for 2 or more health problems at 12 months (SII: -0.23, 95%CI: -0.29; -0.18 and CIX: -0.19, 95%CI: -0.25; -0.14). There is an opposite dose-response relation for the risk of accumulation of health problems according to maternal schooling (1.07, 95%CI: 1.04; 1.09) and wealth categories (1.03, 95%CI: 1.01; 1.04), in the full adjusted models. The study confirms inequalities due to health problems in Brazilian children, especially in the first year of life.

Improving Efficiency in Healthcare: Lessons from Successful Health Policies in Chile

BACKGROUND

Chile has made significant progress in recent decades in implementing policies to improve the efficiency of its health system with an impact on population health.

AIM

To present five case studies of successful policies whose impact has been documented.

METHODS

Case study report.

RESULTS

First, we present a summary of the evidence supporting the policy that is changing the Chilean care model from a problem-based to a patient-centered care model. Second, we show how tele-nephrology and advanced renal care units have demonstrated significant impact on chronic kidney disease in Chile. This internationally recognized successful Chilean policy is contributing to address one of the conditions that explains the highest financial burden on the health system. Third, we present recent evidence on the effectiveness of teleoncology care in Chile. Fourth, we highlight the most recent system of epidemiological surveillance implemented in Chile, the EPIVIGILA system, which was essential to support decisions throughout the pandemic. Finally, we underline the health benefit plans implemented in recent decades to improve access to services and financial protection.

CONCLUSIONS

Chile has successfully implemented policies in its health system that have an impact on efficiency and population health. These experiences can be replicated in countries facing similar challenges, using the Chilean experience as a benchmark.

Estimated glucose disposal rate, high sensitivity C-reactive protein and cardiometabolic multimorbidity in middle-aged and older Chinese adults: A nationwide prospective cohort study

AIM

To explore the separate and joint association of estimated glucose disposal rate (eGDR) and high-sensitivity C-reactive protein (hsCRP) with cardiometabolic multimorbidity (CMM).

METHODS

A total of 6900 participants aged 45 years or older with available data on eGDR and hsCRP and without cardiometabolic diseases at baseline from the China Health and Retirement Longitudinal Study were included. CMM was defined as the coexistence of two or more cardiometabolic diseases, including heart diseases, stroke, and diabetes.

RESULTS

During a median follow-up of 9.0 years, 464 (6.7 %) participants developed CMM. Low eGDR and high hsCRP separately and jointly increased the risk of CMM. The adjusted hazard ratio (HR) was 1.67 (95 % confidence interval [CI] 1.33-2.09) for low eGDR versus high eGDR, 1.43 (95 % CI 1.12-1.82) for high hsCRP versus low hsCRP) and 2.40 (95 % CI 1.77-3.27) for low eGDR plus high hsCRP versus high eGDR plus low hsCRP. The C-statistic, discriminatory power and risk reclassification significantly improved with the addition of combined eGDR and hsCRP for CMM (P < 0.001).

CONCLUSIONS

Low eGDR and high hsCRP were individually and jointly associated with increased risk of incident CMM. The findings highlighted the importance of joint evaluation of eGDR and hsCRP for primary prevention of CMM.

Association between chronic disease status and transitions in depressive symptoms among middle-aged and older Chinese population: Insights from a Markov model-based cohort study

BACKGROUND

The relationship between chronic disease status (CDS) and transitions in depressive symptoms (DS) remains unclear. This study explores the association between CDS and DS transitions.

METHODS

This cohort study analyzed data from 8175 participants aged 45+, sourced from China Family Panel Studies (2016, 2018, 2020). DS were assessed using a brief version of Center for Epidemiologic Studies Depression Scale (CES-D). CDS was categorized into healthy, single disease, and multimorbidity. Markov models were used to estimate state transition intensities, mean sojourn times and hazard ratios (HRs).

RESULTS

DS transitions occurred between adjacent and non-adjacent states, but transition intensity between adjacent states was higher than among non-adjacent states. Self-transition intensities of severe-DS, mild-DS, and non-DS progressively increased, with average durations of 1.365, 1.482, and 7.854 years, respectively. Both single disease and multimorbidity were significantly associated with an increased risk of transitioning from non-DS to mild-DS, with multimorbidity showing a stronger association. In contrast, HRs for single diseases transitioning from mild-DS to severe-DS were significantly lower than 1. Furthermore, their HRs were almost <1 in recovery transitions but not statistically significant.

LIMITATIONS

Specific chronic diseases and their combinations were not analyzed.

CONCLUSIONS

The progression of DS exhibits various pathways. CDS is associated with DS transitions, but the roles of single disease and multimorbidity may differ across different DS progression stages. Both conditions were significantly linked to the risk of new-onset DS, with multimorbidity posing a greater association. However, this relationship is not observed in other progression stages. These findings could provide insights for early prevention and intervention for DS.

Cross-cultural adaptation of the Quebecois Patient-Centered Coordination by a Care Team Questionnaire for use in France

BACKGROUND

The prevalence of chronic disease and multimorbidity is increasing and the associated disease and treatment burden is particularly heavy. Coordinated multidisciplinary, patient-centered care is particularly important for people living with chronic disease or multimorbidity. There was no valid tool to measure the quality of coordinated patient-centered care from the patient's perspective until the Patient-Centered Coordination by a Care Team (PCCCT) questionnaire was recently developed in Canada (Quebec/Ontario). The Quebecois version has been validated but is not directly transferable to France due to linguistic, cultural and health system differences between the two countries. To perform a cross-cultural adaptation of the Quebecois PCCCT questionnaire is therefore necessary to obtain a questionnaire's new version adapted for use in France, ensuring item and semantic equivalence.

METHODS

The adaptation process consisted of two stages, both of which were supervised by a scientific committee made up of five healthcare professionals. The first stage was a Delphi consensus involving a multidisciplinary healthcare professional panel to evaluate and harmonize the clarity and appropriateness of the questionnaire for patients in the French health system. During the second stage, adult patients with one or more chronic diseases, from various age, sex, socio-occupational categories, assessed the comprehensibility and conformity of the adapted version of the questionnaire resulting from stage 1 and improved it if necessary. This was achieved using cognitive interviews.

RESULTS

During Stage 1, two rounds were undertaken with 10 professional experts resulting in consensual reformulation of 10 out of the 14 items. These newly formulated items and the 4 remaining items were submitted to patients in Stage 2. Cognitive interviews were undertaken with 14 patients, testing 3 successively adapted versions of the questionnaire, until three consecutive patients did not find any ambiguity or misunderstanding. The final version resulting from the cross-cultural adaptation process aimed at being used in France, has item and semantic equivalence to the original Quebecois version.

CONCLUSIONS

Measurement equivalence will be addressed in a future study. This French version is intended to be a useful resource for the health system reforms aimed at promoting more integrated and patient-centered care pathways.

Fisetin as a senotherapeutic agent: Evidence and perspectives for age-related diseases

Fisetin, a flavonoid naturally occurring in plants, fruits, and vegetables, has recently gained attention for its potential role as a senotherapeutic agent for the treatment of age-related chronic diseases. Senotherapeutics target senescent cells, which accumulate with age and disease, in both circulating immune cell populations and solid organs and tissues. Senescent cells contribute to development of many chronic diseases, primarily by eliciting systemic chronic inflammation through their senescence-associated secretory phenotype. Here, we explore whether fisetin as a senotherapeutic can eliminate senescent cells, and thereby alleviate chronic diseases, by examining current evidence from in vitro studies and animal models that investigate fisetin's impact on age-related diseases, as well as from phase I/II trials in various patient populations. We discuss the application of fisetin in humans, including challenges and future directions. Our review of available data suggests that targeting senescent cells with fisetin offers a promising strategy for managing multiple chronic diseases, potentially transforming future healthcare for older and multimorbid patients. However, further studies are needed to establish the safety, pharmacokinetics, and efficacy of fisetin as a senotherapeutic, identify relevant and reliable outcome measures in human trials, optimize dosing, and better understand the possible limitations of fisetin as a senotherapeutic agent.

Person-Centered Care Planning for People Living With or at Risk for Multiple Chronic Conditions

Importance

The US has a growing population of people living with multiple chronic conditions (MCC), yet the health system is ill designed to meet their needs. Person-centered care planning (PCCP) is an approach to provide comprehensive care that is responsive to the individual to improve health outcomes and increase value.

Objective

To examine strategies used to provide PCCP for people living with or at risk for MCC, as well as facilitators and barriers to implementation.

Design, Setting, and Participants

This qualitative study uses thematic analysis of responses from a Request for Information (RFI) published in the Federal Register soliciting input on PCCP, posted by the Agency for Healthcare Research and Quality (AHRQ) in 2022. The RFI was available for public comment from September 16, 2022, to November 15, 2022. Responses were analyzed between January 2023 and February 2024. Respondents were individuals and organizations who identify as, provide care for, or seek to improve care for individuals living with or at risk for MCC. Some responses represent multiple individuals.

Main Outcomes and Measures

Qualitative themes and subthemes of the RFI responses, developed using thematic analysis through inductive and deductive coding of the open-text responses.

Results

There were a total of 58 respondents, including clinicians, researchers, patients, caregivers, and representatives from health care payer, practitioner, health system, advocacy, professional, and supporting nonprofit and industry organizations. Researchers identified 9 themes: (1) suboptimal quality of care; (2) person-centered, goal-concordant care; (3) multidisciplinary team-based care and care coordination; (4) prevention across the life course; (5) digital health solutions; (6) workflow; (7) education and self-management support; (8) payment; and (9) achieving community, health system, and payer goals.

Conclusions and Relevance

In this qualitative study of PCCP for people living with or at risk for MCC, challenges to widescale adoption of PCCP were identified along with strategies to address these challenges, including the alignment of payment, policy support, culture change, adoption of meaningful measures, and the need for evidence on strategies to scale and spread PCCP. Insights gained from this analysis can inform research priorities and implementation efforts to advance PCCP as an integral component of routine care.

Editorial: Disordered eating and irritable bowel syndrome-Do maladaptive eating and weight control behaviours increase risk of a maladaptive gut?

This article is linked to Yang et al paper. To view this article, visit https://doi.org/10.1111/apt.18197

Social media use and mental health among older adults with multimorbidity: the role of self-care efficacy

OBJECTIVES

To describe the prevalence and trends in the use of social media over time and explore whether social media use is related to better self-care efficacy and thus related to better mental health among United States older adults with multimorbidity.

MATERIALS AND METHODS

Respondents aged 65 years+ and having 2 or more chronic conditions from the 2017-2020 Health Information National Trends Survey were analyzed (N = 3341) using weighted descriptive and logistic regression analyses.

RESULTS

Overall, 48% (n = 1674) of older adults with multimorbidity used social media and there was a linear trend in use over time, increasing from 41.1% in 2017 to 46.5% in 2018, and then further up to 51.7% in 2019, and 54.0% in 2020. Users were often younger, married/partnered, and non-Hispanic White with high education and income. Social media use was associated with better self-care efficacy that was further related to better mental health, indicating a significant mediation effect of self-care efficacy in the relationship between social media use and mental health.

DISCUSSION

Although older adults with multimorbidity are a fast-growing population using social media for health, significant demographic disparities exist. While social media use is promising in improving self-care efficacy and thus mental health, relying on social media for the management of multimorbidity might be potentially harmful to those who are not only affected by multimorbidity but also socially disadvantaged (eg, non-White with lower education).

CONCLUSION

Great effort is needed to address the demographic disparity and ensure health equity when using social media for patient care.

Independent and joint associations of cardiometabolic multimorbidity and depression on cognitive function: findings from multi-regional cohorts and generalisation from community to clinic

Background

Cardiometabolic multimorbidity (CMM) and depression are often co-occurring in older adults and associated with neurodegenerative outcomes. The present study aimed to estimate the independent and joint associations of CMM and depression on cognitive function in multi-regional cohorts, and to validate the generalizability of the findings in additional settings, including clinical.

Methods

Data harmonization was performed across 14 longitudinal cohort studies within the Cohort Studies of Memory in an International Consortium (COSMIC) group, spanning North America, South America, Europe, Africa, Asia, and Australia. Three external validation studies with distinct settings were employed for generalization. Participants were eligible for inclusion if they had data for CMM and were free of dementia at baseline. Baseline CMM was defined as: 1) CMM 5, ≥2 among hypertension, hyperlipidemia, diabetes, stroke, and heart disease and 2) CMM 3 (aligned with previous studies), ≥2 among diabetes, stroke, and heart disease. Baseline depression was primarily characterized by binary classification of depressive symptom measurements, employing the Geriatric Depression Scale and the Center for Epidemiological Studies-Depression scale. Global cognition was standardized as z-scores through harmonizing multiple cognitive measures. Longitudinal cognition was calculated as changes in global cognitive z-scores. A pooled individual participant data (IPD) analysis was utilized to estimate the independent and joint associations of CMM and depression on cognitive outcomes in COSMIC studies, both cross-sectionally and longitudinally. Repeated analyses were performed in three external validation studies.

Findings

Of the 32,931 older adults in the 14 COSMIC cohorts, we included 30,382 participants with complete data on baseline CMM, depression, and cognitive assessments for cross-sectional analyses. Among them, 22,599 who had at least 1 follow-up cognitive assessment were included in the longitudinal analyses. The three external studies for validation had 1964 participants from 3 multi-ethnic Asian older adult cohorts in different settings (community-based, memory clinic, and post-stroke study). In COSMIC studies, each of CMM and depression was independently associated with cross-sectional and longitudinal cognitive function, without significant interactions between them (Ps > 0.05). Participants with both CMM and depression had lower cross-sectional cognitive performance (e.g. β = -0.207, 95% CI = (-0.255, -0.159) for CMM5 (+)/depression (+)) and a faster rate of cognitive decline (e.g. β = -0.040, 95% CI = (-0.047, -0.034) for CMM5 (+)/depression (+)), compared with those without either condition. These associations remained consistent after additional adjustment for APOE genotype and were robust in two-step random-effects IPD analyses. The findings regarding the joint association of CMM and depression on cognitive function were reproduced in the three external validation studies.

Interpretation

Our findings highlighted the importance of investigating age-related co-morbidities in a multi-dimensional perspective. Targeting both cardiometabolic and psychological conditions to prevent cognitive decline could enhance effectiveness.

Funding

Natural Science Foundation of China and National Institute on Aging/National Institutes of Health.

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.

Association between Multimorbidity and Risk of Falls and Fear of Falling among Older Adults: The Mediation Effect of Physical Function, Use of Sleeping Pills, and Pain Relievers

OBJECTIVE

Falls and fear of falling (FoF) are relevant contributors to disability and institutionalization among older adults. The aim was to examine the association between multimorbidity and falls/FoF among community-dwelling older adults, exploring the mediating effect of physical function and the use of sleeping pills and pain relievers.

DESING

Longitudinal analyses.

SETTING AND PARTICIPANTS

A total of 1824 adults aged ≥65 years from the Seniors-ENRICA II cohort (Spain).

METHODS

Multimorbidity was defined as having ≥2 diseases from a predefined list of 13 chronic conditions extracted from clinical records. Falls were self-reported and FoF was estimated using the Short Falls Efficacy Scale International. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated for the association between multimorbidity/duration of multimorbidity and incident falls/FoF using logistic regression models. The mediating effects of physical function, the use of sleeping pills, and pain relievers were explored using the Karlson Holm Breen method.

RESULTS

Multimorbidity was associated with a higher risk of falls (OR, 1.44; 95% CI, 1.14-1.82) and FoF (OR, 1.88; 95% CI, 1.48-2.39). Positive dose-response associations were found between the duration of multimorbidity and the risk of falls (P-trend = .003) and FoF (P-trend = .001). Physical function mediated 5.67% and 5.25% of these associations, respectively, and the use of sleeping pills explained a larger proportion of the associations (9.27% and 11.61%). Last, the mediation effect of pain relievers on the association between multimorbidity and falls was 3.05% and 9.31% in the multimorbidity-FoF association.

CONCLUSIONS AND IMPLICATIONS

Multimorbidity was associated with a higher risk of falls/FoF among Spanish community-dwelling older adults. Use of sleeping pills was a relevant mediator, suggesting that interventions on sleep problems have the potential to reduce the burden of falls/FoF and their consequences among older adults with multimorbidity.

The impact of place on multimorbidity: A systematic scoping review

Multimorbidity, commonly defined as the co-existence of two or more long-term conditions, is a major global public health challenge with significant impacts for health and social care systems. There is a substantial body of work identifying different individual- and household-level determinants of multimorbidity, yet the role of place-based characteristics in affecting multimorbidity remains limited. This systematic scoping review identifies place-based risk factors for multimorbidity and further synthesises the potential pathways explaining these relationships using longitudinal evidence. By systematically searching seven major databases, such as Medline, Embase, and Web of Science, using relevant search terms (e.g., MeSH) relating to place-based risk factors and multimorbidity, 76 out of 7761 studies were included for evidence synthesis. We include studies exploring the relationship between place-based risk factors and multimorbidity among the general population older than 18 years old in the setting of community-dwelling, primary, and secondary care. We identified 12 types of place-based risk factors, with the impacts of area-level deprivation/SES, pollution, and urban/rurality on multimorbidity being most frequently considered and with the most consistent findings, with people living in more deprived/low SES, highly polluted, or more urbanised areas having increased risks of multimorbidity. Further, the impact of these place-based risk factors on multimorbidity varied according to the operationalisation of the multimorbidity measure. We also identified that the impacts of other types of place-based factors on multimorbidity remain underexplored, such as social cohesion and greenspace. Finally, using these longitudinal findings, we propose a conceptual framework linking place and multimorbidity. We suggest that future studies explore a wider range of place-level environmental exposures and use more precise measures, exploit electronic health records to implement more consistent and reproducible measurements of multimorbidity, moreover, make greater use of longitudinal study designs or analytical approaches better suited to identifying causal processes.

The association between lower urinary tract symptoms secondary to benign prostatic hyperplasia and multimorbidity among Chinese middle-aged and elderly males: evidence based on propensity score matching

Background

With the aging population, patients with lower urinary tract symptoms/benign prostatic hyperplasia (LUTS/BPH) often face multiple chronic conditions (multimorbidity), significantly impacting their quality of life. This study aims to determine the relationship between LUTS/BPH, multimorbidity, and various chronic diseases in middle-aged and elderly Chinese populations.

Methods

This cross-sectional study utilizes data from the China Health and Retirement Longitudinal Study (CHARLS), involving 6,645 residents aged 45 and above. Data on 14 chronic diseases were collected, with multimorbidity defined based on the presence of 2-5 chronic conditions. The number of chronic conditions was further categorized into five groups. Propensity score matching (PSM) was used to control for 11 confounding factors. Linear regression was employed to analyze the relationship between LUTS/BPH and the number of chronic conditions in middle-aged and elderly Chinese men before and after PSM. Both univariate and multivariate logistic regression analyses were used to explore the association between LUTS/BPH and multimorbidity as well as each chronic disease.

Results

The prevalence of multimorbidity was significantly higher among middle-aged and elderly individuals with LUTS/BPH compared to those without. Before PSM, LUTS/BPH was positively correlated with the number of chronic diseases (β=0.175, P<0.001), and the risk of multimorbidity significantly increased, showing a dose-response relationship. The risk of having at least two chronic diseases in patients with LUTS/BPH was 2.39 times higher than in those without LUTS/BPH [odds ratio (OR) =2.39, 95% confidence interval (CI): 2.04-2.80], and the risk of having five chronic diseases was 3.97 times higher (OR =3.97, 95% CI: 3.14-4.99). After PSM, 819 pairs were successfully matched. The positive correlation between LUTS/BPH and multimorbidity still existed, with the risks of having at least two and five chronic diseases being 2.37 times (OR =2.37, 95% CI: 1.94-2.90) and 3.69 times (OR =3.69, 95% CI: 2.62-5.29) higher, respectively. Among them, the risk of emotional/nervous/psychiatric problems was the highest in LUTS/BPH patients (OR =6.58, 95% CI: 2.22-28.13), while the risk of arthritis/rheumatism was the lowest (OR =1.60, 95% CI: 1.30-1.98).

Conclusions

In the Chinese population, LUTS/BPH is closely associated with multimorbidity and each of the 14 chronic diseases examined, with a dose-response relationship based on the number of chronic diseases defined within multimorbidity. It is imperative to incorporate LUTS/BPH into multimorbidity research and management. We recommend that clinicians and policymakers consider the increased risk of multimorbidity and various chronic diseases among male LUTS/BPH patients.

Social Deprivation and Multimorbidity Among Community-Based Health Center Patients in the United States

Introduction

Multimorbidity - having 2 or more chronic diseases - is a national public health concern that entails burdensome and costly care for patients, their families, and public health programs. Adults residing in socially deprived areas often have limited access to social and material resources. They also experience a greater multimorbidity burden.

Methods

We conducted a retrospective cohort analysis of electronic health record (EHR) data from 678 community-based health centers (CHCs) in 27 states from the Accelerating Data Value Across a National Community Health Center (ADVANCE) Network, a clinical research network, from 2012-2019. We used mixed-effects Poisson regression to examine the relationship of area-level social deprivation (eg, educational attainment, household income, unemployment) to chronic disease accumulation among a sample of patients aged 45 years or older (N = 816,921) residing across 9,362 zip code tabulation areas and receiving care in safety-net health organizations.

Results

We observed high rates of chronic disease among this national sample. Prevalence of multimorbidity varied considerably by geographic location, both within and between states. People in more socially deprived areas with Social Deprivation Index (SDI) scores in quartiles 2, 3, and 4 had greater initial chronic disease counts - 17.1%, 17.7%, and 18.0%, respectively - but a slower rate of accumulation compared with people in the least-deprived quartile. Our findings were consistent for models of the composite SDI and those evaluating disaggregated measures of area-level educational attainment, household income, and unemployment.

Conclusion

Social factors play an important role in the development and progression of multimorbidity, which suggests that an assessment and understanding of area-level social deprivation is necessary for developing public health strategies to address multimorbidity.

In Pursuit of a Person-Centered Approach to Care Delivery: A Qualitative Descriptive Study of the Patient Experience of a Long-Term Conditions Clinic in General Practice

Innovative ways of working are emerging in health care to meet the complex needs of people living with multiple long-term conditions. While these initiatives are often measured for their health and economic outcomes, few studies prioritize the patient experience. This qualitative descriptive study is one of a few studies exploring the patient experience of attending a dedicated long-term conditions annual review clinic in a primary care setting in England. The service model aims to provide a person-centered, holistic approach to the management and support of people living with multiple long-term conditions. The study presents findings from in-depth interviews with 12 participants. Data analyzed through framework analysis revealed four themes relating to the patient experience: the clinic as a place, continuity, staying healthy, and partnership opportunities. Results highlight the challenges to providing personalized care. We found that attendance at the clinic prompted self-care behaviors, however, patients wanted a more holistic, integrated, and consistent service that provided continuity of therapeutic relationships that involved them in decision-making and care planning. We conclude that the experience of patients in this study suggests this service model can enable patients to manage their health and improve well-being, however, while a person-centered philosophy may underpin service models, our research shows that ensuring this philosophy is born out in service delivery and recognized by patients is problematic. Therefore, service providers need to recognize the values and perspectives of patients, aligning these with the design and delivery of services.

Influence of social determinants of health on quality of life in patients with multimorbidity and polypharmacy

BACKGROUND

Multimorbidity is one of the biggest challenges faced by modern medicine, especially when managing older patients who are also often taking multiple medications. Multimorbidity is influenced by social determinants of health, giving rise to health inequalities in the population. Here, we sought to determine the influence of social determinants of health on quality of life in patients with multimorbidity and polypharmacy.

METHODS AND MATERIALS

This cross-sectional observational study included 573 patients aged 65-74 with multimorbidity (≥3 diseases) and polypharmacy (≥5 drugs). Corresponding data was taken drawn from the Spanish MULTIPAP study, and included social and demographic variables, and data on health-related quality of life and overall self-perceived health status, assessed using the 5-level version of the EuroQol 5-dimensional questionnaire (EQ-5D-5L). Descriptive, bivariate and multivariate analyses with logistic regression models were performed.

RESULTS

Mean patient age was 69.7 years, 55.8% of patients were female, 59.7% belonged to low social classes (V, VI), a monthly income of €1051-€1850 predominated, and the median number of diseases in the same patient was 6. Factors associated with higher quality of life were (odds ratio, OR) male gender (OR = 1.599, p = 0.013), a higher educational level (OR = 1.991, p = 0.036), an absence of urban vulnerability (OR = 1.605, p = 0.017), and the presence of medium social support (OR = 1.689, p = 0.017). Having a higher number of diseases was associated with poorer quality of life (OR = 0.912, p = 0.017).

CONCLUSIONS

Our findings describe associations between social determinants of health and quality of life in patients aged 65-74 years with multimorbidity and polypharmacy. More illnesses, female gender, a lower education level, urban vulnerability, and less social support are associated with poorer quality of life, underscoring the need for a biopsychosocial approach in patient care.

Registered nurse case managers' work experiences with a person-centered collaborative healthcare model: an interview study

BACKGROUND

Multimorbidity is increasingly acknowledged as a significant health concern, particularly among older individuals. It is associated with a decline in quality of life and psychosocial well-being as well as an increased risk of being referred to multiple healthcare providers, including more frequent admissions to emergency departments. Person-centered care interventions tailored to individuals with multimorbidity have shown promising results in improving patient outcomes. Research is needed to explore how work practices within integrated care models are experienced from Registered Nurse Case Managers' (RNCMs) perspective to identify areas of improvement. Therefore, the aim of this study was to describe RNCMs' work experience with a person-centered collaborative healthcare model (PCCHCM).

METHODS

This study used an inductive design. The data were collected through individual interviews with 11 RNCMs and analyzed using qualitative content analysis.

RESULTS

Data analysis resulted in four generic categories: 'Being a detective, 'Being a mediator', 'Being a partner', and 'Being a facilitator of development' which formed the basis of the main category 'Tailoring healthcare, and social services to safeguard the patient's best.' The findings showed that RNCMs strive to investigate, identify, and assess older persons' needs for coordinated care. They worked closely with patients and their relatives to engage them in informed decision-making and to implement those decisions in a personalized agreement that served as the foundation for the care and social services provided. Additionally, the RNCMs acted as facilitators of the development of the PCCHCM, improving collaboration with other healthcare professionals and enhancing the possibility of securing the best care for the patient.

CONCLUSIONS

The results of this study demonstrated that RNCMs tailor healthcare and social services to provide care in various situations, adhering to person-centered care principles and continuity of care. The findings underline the importance of implementing integrated care models that consider the unique characteristics of each care context and adapt different case managers' roles based on the patient's individual needs as well as on the specific needs of the local setting. More research is needed from the patients' and their relatives' perspectives to deepen the understanding of the PCCHCM concerning its ability to provide involvement, security, and coordination of care.

The extent and burden of high multimorbidity on older adults in the US: a descriptive analysis of Medicare beneficiaries

BACKGROUND

The impact of multimorbidity (≥ 2 chronic diseases) on the well-being of older adults is substantial but variable. The burden of multimorbidity varies by the number and kinds of conditions, and timing of onset. The impact varies by age, race, ethnicity, socioeconomic status, and health indicators. Large scale longitudinal surveys linked to medical claims provide unique opportunities to characterize this variability.

METHODS

We analyzed Medicare-linked Health and Retirement Study data for respondents 65 and older with 3 or more years of fee-for-service coverage (n = 17,199; 2000-2016). We applied standardized claims algorithms for operationalizing 21 chronic diseases. We compared multimorbidity levels, demographics, and outcomes at baseline and over time and escalation to high multimorbidity levels (≥ 5 conditions).

RESULTS

At baseline, 51.2% had no multimorbidity, 36.5% had multimorbidity, and 12.4% had high multimorbidity. Loss of function, cognitive decline, and higher healthcare utilization were up to ten times more prevalent in the high multimorbidity group. Greater rates of high multimorbidity were seen among non-Hispanic Black and Hispanic groups, those with lower wealth, younger birth cohorts, and adults with obesity. Rates of transition to high multimorbidity varied greatly and was highest among Hispanic and respondents with lower education.

CONCLUSIONS

The development and progression of multimorbidity in old age is influenced by many factors. Higher levels of multimorbidity are associated with sociodemographic characteristics, suggesting possible mitigation strategies.

Chronic disease incidence explained by stepwise models and co-occurrence among them

Multimorbidity (MM) is the co-occurrence of two or more chronic diseases. We provided a dynamic approach revealing the MM complexity constructing a multistep incidence-age model for all patients with MM between 2014 and 2021 in the Basque Health System, Spain. The multistep model, with eight steps for males and nine for females, is a very well-fitting representation of MM. To gain insight into the MM components, we modeled the 19 diseases used to calculate the Charlson Comorbidity Index (CCI). We observed that the CCI diseases formed a complex interaction network. Hierarchical clustering of the incidence-age profiles clustered the CCI diseases into low- and high-risk of dying pathologies. Diseases with a higher number of steps are better represented by a multistep model. Anatomically, diseases associated with the central nervous system have the highest number of steps, followed by those associated with the kidney, heart, peripheral vasulature, pancreas, joints, cerebral vasculature, lung, stomach, and liver.

Has multimorbidity and frailty in adult hospital admissions changed over the last 15 years? A retrospective study of 107 million admissions in England

BACKGROUND

Few studies have quantified multimorbidity and frailty trends within hospital settings, with even fewer reporting how much is attributable to the ageing population and individual patient factors. Studies to date have tended to focus on people over 65, rarely capturing older people or stratifying findings by planned and unplanned activity. As the UK's national health service (NHS) backlog worsens, and debates about productivity dominate, it is essential to understand these hospital trends so health services can meet them.

METHODS

Hospital Episode Statistics inpatient admission records were extracted for adults between 2006 and 2021. Multimorbidity and frailty was measured using Elixhauser Comorbidity Index and Soong Frailty Scores. Yearly proportions of people with Elixhauser conditions (0, 1, 2, 3 +) or frailty syndromes (0, 1, 2 +) were reported, and the prevalence between 2006 and 2021 compared. Logistic regression models measured how much patient factors impacted the likelihood of having three or more Elixhauser conditions or two or more frailty syndromes. Results were stratified by age groups (18-44, 45-64 and 65 +) and admission type (emergency or elective).

RESULTS

The study included 107 million adult inpatient hospital episodes. Overall, the proportion of admissions with one or more Elixhauser conditions rose for acute and elective admissions, with the trend becoming more prominent as age increased. This was most striking among acute admissions for people aged 65 and over, who saw a 35.2% absolute increase in the proportion of admissions who had three or more Elixhauser conditions. This means there were 915,221 extra hospital episodes in the last 12 months of the study, by people who had at least three Elixhauser conditions compared with 15 years ago. The findings were similar for people who had one or more frailty syndromes. Overall, year, age and socioeconomic deprivation were found to be strongly and positively associated with having three or more Elixhauser conditions or two or more frailty syndromes, with socioeconomic deprivation showing a strong dose-response relationship.

CONCLUSIONS

Overall, the proportion of hospital admissions with multiple conditions or frailty syndromes has risen over the last 15 years. This matches smaller-scale and anecdotal reports from hospitals and can inform how hospitals are reimbursed.

Household economic burden of type-2 diabetes and hypertension comorbidity care in urban-poor Ghana: a mixed methods study

BACKGROUND

Non-communicable diseases (NCDs) predispose households to exorbitant healthcare expenditures in health systems where there is no access to effective financial protection for healthcare. This study assessed the economic burden associated with the rising burden of type-2 diabetes (T2D) and hypertension comorbidity management, and its implications for healthcare seeking in urban Accra.

METHODS

A convergent parallel mixed-methods study design was used. Quantitative sociodemographic and cost data were collected through survey from a random community-based sample of 120 adults aged 25 years and older and living with comorbid T2D and hypertension in Ga Mashie, Accra, Ghana in November and December 2022. The monthly economic cost of T2D and hypertension comorbidity care was estimated using a descriptive cost-of-illness analysis technique from the perspective of patients. Thirteen focus group discussions (FGDs) were conducted among community members with and without comorbid T2D and hypertension. The FGDs were analysed using deductive and inductive thematic approaches. Findings from the survey and qualitative study were integrated in the discussion.

RESULTS

Out of a total of 120 respondents who self-reported comorbid T2D and hypertension, 23 (19.2%) provided complete healthcare cost data. The direct cost of managing T2D and hypertension comorbidity constituted almost 94% of the monthly economic cost of care, and the median direct cost of care was US$19.30 (IQR:10.55-118.88). Almost a quarter of the respondents pay for their healthcare through co-payment and insurance jointly, and 42.9% pay out-of-pocket (OOP). Patients with lower socioeconomic status incurred a higher direct cost burden compared to those in the higher socioeconomic bracket. The implications of the high economic burden resulting from self-funding of healthcare were found from the qualitative study to be: 1) poor access to quality healthcare; (2) poor medication adherence; (3) aggravated direct non-medical and indirect cost; and (4) psychosocial support to help cope with the cost burden.

CONCLUSION

The economic burden associated with healthcare in instances of comorbid T2D and hypertension can significantly impact household budget and cause financial difficulty or impoverishment. Policies targeted at effectively managing NCDs should focus on strengthening a comprehensive and reliable National Health Insurance Scheme coverage for care of chronic conditions.

The digital cumulative complexity model: a framework for improving engagement in digital mental health interventions

Mental health disorders affect a substantial portion of the global population. Despite preferences for psychotherapy, access remains limited due to various barriers. Digital mental health interventions (DMHIs) have emerged to increase accessibility, yet engagement and treatment completion rates are concerning. Evidence across healthcare where some degree of self-management is required show that treatment engagement is negatively influenced by contextual complexity. This article examines the non-random factors influencing patient engagement in digital and face-to-face psychological therapies. It reviews established models and introduces an adapted version of the Cumulative Complexity Model (CuCoM) as a framework for understanding engagement in the context of digital mental health. Theoretical models like the Fogg Behavior Model, Persuasive System Design, Self-Determination Theory, and Supportive Accountability aim to explain disengagement. However, none adequately consider these broader contextual factors and their complex interactions with personal characteristics, intervention requirements and technology features. We expand on these models by proposing an application of CuCoM's application in mental health and digital contexts (known as DiCuCoM), focusing on the interplay between patient burden, personal capacity, and treatment demands. Standardized DMHIs often fail to consider individual variations in burden and capacity, leading to engagement variation. DiCuCoM highlights the need for balancing patient workload with capacity to improve engagement. Factors such as life demands, burden of treatment, and personal capacity are examined for their influence on treatment adherence. The article proposes a person-centered approach to treatment, informed by models like CuCoM and Minimally Disruptive Medicine, emphasizing the need for mental healthcare systems to acknowledge and address the unique burdens and capacities of individuals. Strategies for enhancing engagement include assessing personal capacity, reducing treatment burden, and utilizing technology to predict and respond to disengagement. New interventions informed by such models could lead to better engagement and ultimately better outcomes.

[Multimorbidity and utilization of health services in the city of São Paulo, Brazil: prevalence and associated factors]

The scope of this paper was to estimate the prevalence of multimorbidity in the city of São Paulo and to verify the factors associated with the utilization of the health services. It involved a population based cross-sectional study based on data from the Health Survey in the city of São Paulo, in which descriptive analysis was conducted, and logistic regression models were developed using multimorbidity and sociodemographic independent variables, living conditions and use of health services as the outcome. A total of 3,184 individuals aged 20 years or older participated, with a mean age of 43.8 years. The prevalence of multimorbidity was 50.7% among women, 62.5% among those who reported some health problem and 55.1% among those who had recourse to health services in the last 2 weeks. A higher prevalence was identified among those who used the health service due to a mental health problem (66.1%), and in those who reported higher health expenditures in the preceding month (55.4%). Multimorbidity was more frequently associated with aging, in the population with a higher economic status, with worse self-rated health, who frequented health services for 6 months or less, who reported a health problem, or who had a health plan and opted for polypharmacy.

Predicting future medical needs and mortality risk in geriatric long-term care patients : Development and validation of the Nascher score and revised Nascher score

BACKGROUND

Choosing the right intensity of medical care is a huge challenge particularly in long-term geriatric care. The Nascher score was developed to assess future medical care needs. The aim of this study was to determine whether the Nascher score and a revised version can predict future medical needs.

METHODS

In this retrospective cohort study, 396 residents in long-term care hospitals, who were admitted over a period of two years and followed up to two and a half yeare, were analysed. Outcome parameters were: (1) number of medication changes, (2) number of ward doctor documentations and (3) number of acute illnesses treated with antibiotics, and mortality risk. Based on the first results, an alternative scoring of the Nascher score with 12 instead of 26 items was developed, called the revised Nascher score.

RESULTS

The Nascher score significantly correlated with the number of medication changes, the number of ward doctor documentations, and the number of acute ilnesses treated with antibiotics with Spearman correlation coefficients of 0.30, 0.26, and 0.15, respectively. The revised Nascher score showed a higher correlation with correlation coefficients of 0.36, 0.26, and 0.21, respectively. Residents with a Nascher score in the highest quartile had a significantly higher mortality risk than residents in the lowest quartile (hazard ratio, HR 2.97, 95% confidence interval, CI 1.80-4.34). The corresponding values for the revised Nascher score were HR 3.03, 95% CI 2.03-4.54 in the highest and HR 1.80, 95% CI 1.24-2.60 in the middle quartiles.

CONCLUSION

The Nascher score and even more so the revised Nascher score are well suited to predicting the various parameters of future medical needs and mortality risk.

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.

Cost effectiveness of a GP delivered medication review to reduce polypharmacy and potentially inappropriate prescribing in older patients with multimorbidity in Irish primary care: the SPPiRE cluster randomised controlled trial

BACKGROUND

Evidence on the cost effectiveness of deprescribing in multimorbidity is limited.

OBJECTIVE

To investigate the cost effectiveness of a general practitioner (GP) delivered, individualised medication review to reduce polypharmacy and potentially inappropriate prescribing in older patients with multimorbidity in Irish primary care.

METHODS

Within trial economic evaluation, from a healthcare perspective and based on a cluster randomised controlled trial with a 6 month follow up and 403 patients (208 Intervention and 195 Control) recruited between April 2017 and December 2019. Intervention GPs used the SPPiRE website which contained educational materials and a template to support a web-based individualised medication review. Control GPs delivered usual care. Incremental costs, quality adjusted life years (QALYs) generated using the EQ-5D-5L instrument, and expected cost effectiveness were estimated using multilevel modelling and multiple imputation techniques. Uncertainty was explored using parametric, deterministic and probabilistic methods.

RESULTS

On average, the SPPiRE intervention was dominant over usual care, with non-statistically significant mean cost savings of €410 (95% confidence interval (CI): - 2211, 1409) and mean health gains of 0.014 QALYs (95% CI - 0.011, 0.039). At cost effectiveness threshold values of €20,000 and €45,000 per QALY, the probability of SPPiRE being cost effective was 0.993 and 0.988. Results were sensitive to missing data and data collection period.

CONCLUSIONS

The study observed a pattern towards dominance for the SPPiRE intervention, with high expected cost effectiveness. Notably, observed differences in costs and outcomes were consistent with chance, and missing data and related uncertainty was non trivial. The cost effectiveness evidence may be considered promising but equivocal.

TRIAL REGISTRATION

ISRCTN: 12752680, 20th October 2016.

Assessing the Association of Healthcare Resource Utilization and Patient-Reported Outcomes on Shared Decision-Making among Multimorbid Individuals

Shared decision-making (SDM) is an essential component of patient-centered healthcare and disease management. However, the association of SDM with healthcare resource utilization and patient-reported outcomes among multimorbid individuals is not well understood. This study sought to evaluate the association of SDM with healthcare resource utilization and patient-reported outcomes among United States (US) adults with multimorbidity. Data were collected from the 2020 Medical Expenditure Panel Survey (MEPS) for this cross-sectional study. Eligible participants were US adults with two or more comorbidities. The predictor variable was SDM (optimal versus not optimal). The outcome variables were healthcare resource utilization and patient-reported outcomes. Logistic regression models, adjusted for demographic characteristics, assessed associations with SDM for each healthcare resource utilization and patient-reported outcome variable. The analysis maintained the complex survey data and was weighted to produce nationally representative estimates. Individuals who reported optimal SDM in adjusted analyses utilized more healthcare resources compared to those who reported not optimal SDM. Individuals with optimal SDM had more than one outpatient visit (odds ratio OR = 1.23, 95% CI = 1.03-1.47), emergency room visit (OR = 1.55, 95% CI = 1.17-2.06), and inpatient discharge (OR = 1.44, 95% CI = 1.05-1.96). Additionally, these individuals had higher odds of reporting limitations in their ability to work or engage in other activities due to their physical health in the past four weeks (OR = 1.27, 95% CI = 1.01-1.60). This study indicated evidence of increased healthcare resource utilization among patients who participate in SDM with their providers, which should be explored in future studies.

Assessment of multi-professional primary healthcare center quality by patients with multimorbidity

BACKGROUND

The main aim of this study was to build an item bank for assessing the care quality of multi-professional healthcare centers (MPHCC) from the perspective of patients with multimorbidity. This study was part of the QUALSOPRIM (QUALité des SOins PRIMaires; primary healthcare quality) research project to create a psychometrically robust self-administered questionnaire to assess healthcare quality.

METHODS

First, twelve experts built an item bank using data from a previous qualitative work and a systematic literature review. Second, the validity of each item was assessed in a sample of patients. Adult patients with multimorbidity were recruited from six French MPHCC. Items were assessed based on ceiling effects, the level of missing or neutral responses and patient feedback. Patient feedback was recorded after the item bank completion. Based on results, items were validated, improved, or removed during expert meetings. In case of disagreement the Delphi method was used to reach consensus.

RESULTS

The study sample included 209 outpatients. The most frequent medical conditions were cardiovascular risk factors, cardiovascular diseases and rheumatological conditions. In total, a bank of 109 items classified in nine domains was built. The validity assessment led to the removal of 34 items. Retained items explored a variety of topics related to care quality: availability, accessibility, premises' layout and building, technical care, expertise, organization, relationships with caregivers and communication, involvement and personal relationships.

CONCLUSIONS

This study allowed cross-validation of a bank of 75 items, leading to a complete picture of the patient perception of care quality items. Overall, patients were generally satisfied with their care at the MPHCC. Nonetheless, there were still numerous items on subjects for which patients' satisfaction could be improved.

Core outcome sets for trials of interventions to prevent and to treat multimorbidity in adults in low and middle-income countries: the COSMOS study

INTRODUCTION

The burden of multimorbidity is recognised increasingly in low- and middle-income countries (LMICs), creating a strong emphasis on the need for effective evidence-based interventions. Core outcome sets (COS) appropriate for the study of multimorbidity in LMICs do not presently exist. These are required to standardise reporting and contribute to a consistent and cohesive evidence-base to inform policy and practice. We describe the development of two COS for intervention trials aimed at preventing and treating multimorbidity in adults in LMICs.

METHODS

To generate a comprehensive list of relevant prevention and treatment outcomes, we conducted a systematic review and qualitative interviews with people with multimorbidity and their caregivers living in LMICs. We then used a modified two-round Delphi process to identify outcomes most important to four stakeholder groups (people with multimorbidity/caregivers, multimorbidity researchers, healthcare professionals and policymakers) with representation from 33 countries. Consensus meetings were used to reach agreement on the two final COS.

REGISTRATION

https://www.comet-initiative.org/Studies/Details/1580.

RESULTS

The systematic review and qualitative interviews identified 24 outcomes for prevention and 49 for treatment of multimorbidity. An additional 12 prevention and 6 treatment outcomes were added from Delphi round 1. Delphi round 2 surveys were completed by 95 of 132 round 1 participants (72.0%) for prevention and 95 of 133 (71.4%) participants for treatment outcomes. Consensus meetings agreed four outcomes for the prevention COS: (1) adverse events, (2) development of new comorbidity, (3) health risk behaviour and (4) quality of life; and four for the treatment COS: (1) adherence to treatment, (2) adverse events, (3) out-of-pocket expenditure and (4) quality of life.

CONCLUSION

Following established guidelines, we developed two COS for trials of interventions for multimorbidity prevention and treatment, specific to adults in LMIC contexts. We recommend their inclusion in future trials to meaningfully advance the field of multimorbidity research in LMICs.

PROSPERO REGISTRATION NUMBER

CRD42020197293.

Investigating the impact of extreme weather events and related indicators on cardiometabolic multimorbidity

BACKGROUND

The impact of weather on human health has been proven, but the impact of extreme weather events on cardiometabolic multimorbidity (CMM) needs to be urgently explored.

OBJECTIVES

Investigating the impact of extreme temperature, relative humidity (RH), and laboratory testing parameters at admission on adverse events in CMM hospitalizations.

DESIGNS

Time-stratified case-crossover design.

METHODS

A distributional lag nonlinear model with a time-stratified case-crossover design was used to explore the nonlinear lagged association between environmental factors and CMM. Subsequently, unbalanced data were processed by 1:2 propensity score matching (PSM) and conditional logistic regression was employed to analyze the association between laboratory indicators and unplanned readmissions for CMM. Finally, the previously identified environmental factors and relevant laboratory indicators were incorporated into different machine learning models to predict the risk of unplanned readmission for CMM.

RESULTS

There are nonlinear associations and hysteresis effects between temperature, RH and hospital admissions for a variety of CMM. In addition, the risk of admission is higher under low temperature and high RH conditions with the addition of particulate matter (PM, PM2.5 and PM10) and O3_8h. The risk is greater for females and adults aged 65 and older. Compared with first quartile (Q1), the fourth quartile (Q4) had a higher association between serum calcium (HR = 1.3632, 95% CI: 1.0732 ~ 1.7334), serum creatinine (HR = 1.7987, 95% CI: 1.3528 ~ 2.3958), fasting plasma glucose (HR = 1.2579, 95% CI: 1.0839 ~ 1.4770), aspartate aminotransferase/ alanine aminotransferase ratio (HR = 2.3131, 95% CI: 1.9844 ~ 2.6418), alanine aminotransferase (HR = 1.7687, 95% CI: 1.2388 ~ 2.2986), and gamma-glutamyltransferase (HR = 1.4951, 95% CI: 1.2551 ~ 1.7351) were independently and positively associated with unplanned readmission for CMM. However, serum total bilirubin and High-Density Lipoprotein (HDL) showed negative correlations. After incorporating environmental factors and their lagged terms, eXtreme Gradient Boosting (XGBoost) demonstrated a more prominent predictive performance for unplanned readmission of CMM patients, with an average area under the receiver operating characteristic curve (AUC) of 0.767 (95% CI:0.7486 ~ 0.7854).

CONCLUSIONS

Extreme cold or wet weather is linked to worsened adverse health effects in female patients with CMM and in individuals aged 65 years and older. Moreover, meteorologic factors and environmental pollutants may elevate the likelihood of unplanned readmissions for CMM.

Using clustering of genetic variants in Mendelian randomization to interrogate the causal pathways underlying multimorbidity from a common risk factor

Mendelian randomization (MR) is an epidemiological approach that utilizes genetic variants as instrumental variables to estimate the causal effect of an exposure on a health outcome. This paper investigates an MR scenario in which genetic variants aggregate into clusters that identify heterogeneous causal effects. Such variant clusters are likely to emerge if they affect the exposure and outcome via distinct biological pathways. In the multi-outcome MR framework, where a shared exposure causally impacts several disease outcomes simultaneously, these variant clusters can provide insights into the common disease-causing mechanisms underpinning the co-occurrence of multiple long-term conditions, a phenomenon known as multimorbidity. To identify such variant clusters, we adapt the general method of agglomerative hierarchical clustering to multi-sample summary-data MR setup, enabling cluster detection based on variant-specific ratio estimates. Particularly, we tailor the method for multi-outcome MR to aid in elucidating the causal pathways through which a common risk factor contributes to multiple morbidities. We show in simulations that our "MR-AHC" method detects clusters with high accuracy, outperforming the existing methods. We apply the method to investigate the causal effects of high body fat percentage on type 2 diabetes and osteoarthritis, uncovering interconnected cellular processes underlying this multimorbid disease pair.

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.

Association of coffee consumption with cardiometabolic multimorbidity: A prospective cohort study in the UK biobank

BACKGROUND AND AIMS

Previous observational studies have investigated the association between coffee consumption and single cardiometabolic disease. Yet, the extent to which coffee might confer health advantages to individuals with a singular cardiometabolic disease remains unclear. This study aimed to further investigate the association of coffee consumption and the onset and progression from single cardiometabolic disease to cardiometabolic multimorbidity (CMM).

METHODS AND RESULTS

This prospective cohort study included 185,112 participants from the UK Biobank who were enrolled between 2006 and 2010 and followed up until 2020. Coffee consumption was collected using a 24-h dietary questionnaire. CMM was defined as the coexistence of at least two cardiometabolic diseases, including type 2 diabetes (T2D), coronary heart disease (CHD) and stroke. Cox proportional hazards and multi-state models estimated the associations between coffee consumption and CMM. During a median follow-up of 11.4 years, 1585 participants developed CMM. Compared with nonconsumers, coffee consumers had lower risks for the transitions from baseline to single cardiometabolic disease, with the respective lowest hazard ratios and 95% confidence intervals (CIs) for the transitions from baseline to T2D, CHD and stroke after multivariable adjustment being 0.79 (CI, 0.72-0.87), 0.91 (CI, 0.86-0.97) and 0.87 (CI, 0.78-0.96). Coffee consumption resulted in a significant reduction in the risk of the transitions from CHD and stroke to CMM, with the lowest estimates were 0.56 (CI, 0.43-0.73) and 0.60 (CI, 0.43-0.83). Similar associations were observed in unsweetened coffee. Sugar-sweetened coffee was associated with some transitions at low levels of consumption. The associations between artificially sweetened coffee and CMM were less consistent.

CONCLUSIONS

Coffee consumption was associated with lower risk for almost all transition phases of CMM development and consistent findings were observed with unsweetened coffee.

Cardiovascular Risk in Patients with Inflammatory Bowel Diseases-The Role of Endothelial Dysfunction

Inflammatory bowel disease (IBD) is associated with an increased risk of cardiovascular disease (CVD). Cardiovascular pathology in people with IBD has not been well studied to date, and a direct link between cardiovascular events and IBD has not been established. The mechanisms underlying this association include the parallel and dynamic interaction of inflammation, modulation of the composition of the gut microbiota, endothelial dysfunction, thrombogenicity, and increased endothelial and epithelial permeability. Endothelial dysfunction is a common aspect of the pathogenesis of IBD and atherosclerotic CVD and can be considered one of the most important factors leading to the development and progression of cardiovascular pathology in patients with IBD. The purpose of this literature review is to describe the mechanisms underlying the development of endothelial dysfunction and disorders of the structure and function of the gut-vascular barrier in the pathogenesis of the cardiovascular manifestation of IBD.