Chronic Multimorbidity Research Articles

Understanding and improving the quality of primary care for people in prison: a mixed-methods study.

People in prison are generally in poorer health than their peers in the community, often living with chronic illness and multimorbidity. Healthcare research in prisons has largely focused on specific problems, such as substance use; less attention has been paid to conditions routinely managed in primary care, such as diabetes or hypertension. It is important to understand how primary care in prisons is currently delivered in the United Kingdom and how it can be improved, in order to reduce health inequalities. To understand the quality of primary care in prison, including gaps and variations in care, in order to recommend how quality of prison health care can be improved. A mixed-methods study with six interlinked work packages. Predominantly the North of England. Between August 2019 and June 2022, we undertook the following work packages: (1) International scoping review of prison healthcare quality indicators. (2) Stakeholder consensus process to identify United Kingdom focused prison healthcare quality indicators. (3) Qualitative interview study with 21 people who had been in prison and 22 prison healthcare staff. (4) Quantitative analysis of anonymised, routinely collected data derived from prison healthcare records (~ 25,000 records across 13 prisons). (5) Stakeholder deliberation process to identify interventions to improve prison health care. (6a) Secondary analysis of the qualitative data set, focusing on mental health and (6b) analysis of the quantitative data set, focusing on health care of three mental health subgroups. Our scoping review found predominantly only papers from the United States of America and of variable rigour with the main finding being that performance measurement is very challenging in the prison healthcare setting. In collaboration with stakeholders, we prioritised, refined and applied a suite of 30 quality indicators across several healthcare domains. We found considerable scope for improvement in several indicators and wide variations in indicator achievement that could not be attributed to differences in prison population characteristics. Examples of indicators with scope for improvement included: diabetes care, medicines reconciliation and epilepsy review and control. Longer length of stay in prison was generally associated with higher achievement than shorter stays. Indicator achievement was generally low compared to that of community general practice. We found some encouraging trends and relatively good performance for a minority of indicators. Our qualitative interviews found that quality of health care is related to factors that exist at several levels but is heavily influenced by organisational factors, such as understaffing, leading to a reactive and sometimes crisis-led service. Our stakeholder deliberations suggested opportunities for improvement, ideally drawing on data to assess and drive improvement. Our mental health work package found that coded mental illness had mixed associations with indicator achievement, while the interviews revealed that mental distress is viewed by many as an inevitable facet of imprisonment. Our analyses of indicator achievement were limited by the quality and coverage of available data. Most study findings are localised to England so international applicability may differ. Marked variations in the quality of primary care in prisons are likely to be attributable to the local organisation and conditions of care delivery. Routinely collected data may offer a credible driver for change. This study is registered at researchregistry.com (Ref: 5098). This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 17/05/26) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 46. See the NIHR Funding and Awards website for further award information.

Impacts of chronic diseases and multimorbidity on health-related quality of life among community-dwelling elderly individuals in economically developed China: evidence from cross-sectional survey across three urban centers

ObjectiveAs the ageing process in China further accelerates and the average life expectancy increases, chronic disease prevalence and multimorbidity rates are constantly rising, especially among elderly individuals. However, few previous studies have explored the impacts of chronic diseases and multimorbidity on health-related quality of life (HRQoL). This study aimed to investigate this association among community-dwelling elderly individuals in China.MethodsA cross-sectional study was conducted in communities in three cities (Suzhou, Qingdao, and Guangzhou). The basic characteristics, chronic diseases and HRQoL of participants were collected, and HRQoL was measured by the EuroQol 5-Dimensions 3-Level version (EQ-5D-3L). Logistic regression, Tobit regression and generalized linear models were used to assess the impacts of chronic diseases and multimorbidity on HRQoL.ResultsApproximately 83.2 percent of the 1,218 respondents had chronic conditions, with 30 percent having multimorbidity. After controlling for sociodemographic and health behaviour factors, patients with stroke were more likely to report problems in all five dimensions of the EQ-5D and had a lower EQ-5D utility index (UI) (b = -0.342) than patients with other chronic conditions. Patients with chronic pulmonary obstruction had a lower EuroQol Visual Analog Scale (EQ-VAS) (b = -11.169) than patients with other chronic conditions. Furthermore, patients with multimorbidity had worse HRQoL (P < 0.001).ConclusionsBoth chronic condition probability and multimorbidity rates were high among Chinese community-dwelling elderly individuals. Different disease types had varying degrees of impact on HRQoL, and patients with multimorbidity had worse HRQoL. This study proposes that the government enhance the quality of life of community-dwelling elderly individuals with multimorbidity by establishing long-term care insurance and expanding comprehensive community-based home health care services.

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

BackgroundThe 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.MethodsThe 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.ResultsDuring 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.ConclusionsMeasurement 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.

From Fetus to Eight: the CHILD Cohort Study.

The CHILD Cohort Study is an active multi-center longitudinal, prospective, population pregnancy cohort study following Canadian infants from fetal life until adulthood. We hypothesized that early life physical and psychosocial environments interact with biological factors (e.g. immunologic, genetic, physiologic, and metabolic) influencing burdensome non-communicable disease outcomes, including asthma and allergic disorders, growth and development, cardio-metabolic health, and neurodevelopmental outcomes that manifest during the life-course. Detailed clinical and physiologic phenotyping at strategic intervals was complemented by environmental sampling, actigraphy and global positioning system measures, biological sampling including gut, breastmilk and nasal microbiome, nutritional studies, genetics, and epigenetic profiling. Of 3,454 families recruited from 2008 to 2012, study retention was 96.0% at 1-year, 93.2% at 5-years and 90.7% at 8-years. Data collection during the SARS-2 COVID-19 pandemic was partially completed via virtual visits. A sub-cohort was implemented, capturing detailed information on the prevalence and predictors of SARS-CoV-2 infection and the health and psychosocial impact of the pandemic on Canadian families. The 13-year clinical assessment launched in 2022 will be completed in 2025. Ultimately, the CHILD Cohort Study provides a data science platform designed to enable a deep understanding of early life factors associated with the development of chronic non-communicable diseases and multimorbidity.

The Association Between Inflammatory Dietary Pattern and Risk of Cognitive Impairment Among Older Adults with Chronic Diseases and Its Multimorbidity: A Cross-Sectional Study.

The present study aimed to explore the association between the inflammatory potential of diet, assessed by energy-adjusted dietary inflammatory index (E-DII) and reduced rank regression (RRR)-derived inflammatory dietary pattern, and the risk for cognitive impairment (CI) in community-dwelling older adults, especially in older adults with chronic diseases and multimorbidity. A total of 549 older adults from Taiyuan city were included in the present cross-sectional study. The Chinese Version of the Mini-Mental State Examination (CMMSE) was used for the evaluation of cognitive function. E-DII score was calculated based on semi-quantitative food frequency questionnaire (FFQ). Blood samples, including interleukin (IL)-1β, interleukin (IL)-18, tumor necrosis factor-α (TNF-α) and C-reactive protein (CRP), were tested for calculating RRR-derived inflammatory dietary pattern. Logistic regression was used to assess the association between inflammatory dietary pattern and risk of CI. In addition, patients with diabetes, hypertension, hyperlipidemia and multimorbidity were screened for further analysis among 549 older adults. In those 549 older adults, adjusting for demographic characteristics and chronic disease status, there was no association between E-DII score tertile (OR T3VST1 : 1.357, 95%CI:0.813~2.265, P trend = 0.267), RRR-derived inflammatory dietary pattern score tertile (OR T3VST1 : 1.092, 95%CI:0.679~ 1.758, P trend = 0.737) and risk of CI. However, in older adults with diabetes and multimorbidity, the score tertile of E-DII and RRR-derived inflammatory dietary pattern were positively correlated with risk of CI in a dose-responsive manner (All P trend < 0.05). There is insufficient evidence to reach similar conclusion in patients with hypertension and hyperlipidemia (All P trend > 0.05). In the present study, pro-inflammatory diet contributed to the increased risk of CI in older adults with diabetes and multimorbidity. These results supplemented vital evidence for the prevention and treatment of CI in older adults with chronic diseases.

The impact of multimorbidity on QoL in inflammatory myopathies: COVAD cluster analysis.

The presence of comorbidities can substantially affect patients' quality of life, but data regarding their impact on idiopathic inflammatory myopathies (IIMs) are limited. We examined the prevalence of comorbidities in IIM patients, other autoimmune rheumatic diseases (oAIRDs), and healthy controls (HCs), using data from the self-reported COVAD-2 survey. We defined Basic Multimorbidity (BM) as the presence of ≥ 2 non-rheumatic chronic conditions and Complex Multimorbidity (CM) as the presence of ≥ 3 non-rheumatic chronic conditions affecting ≥3 organ systems. Hierarchical Clustering on Principal Components was performed for grouping. Among the COVAD respondents, 1558 IIMs, 4591 oAIRDs, and 3652 HCs were analysed. IIMs exhibited a high burden of comorbidities (OR: 1.62 vs oAIRDs and 2.95 vs HCs, p< 0.01), BM (OR 1.66 vs oAIRDs and 3.52 vs HCs, p< 0.01), CM (OR: 1.69 vs AIRDs and 6.23 vs HCs, p< 0.01), and mental health disorders (MHDs) (OR 1.33 vs oAIRDs and 2.63 vs HCs, p< 0.01). Among the IIM patients, those with comorbidities or MHDs had lower PROMIS Global Physical (PGP), PROMIS Global Mental (PGM), and PROMIS Physical Function (SF10) scores, and higher fatigue (F4a) scores (all p< 0.001). PGP, PGM, SF10a and F4a were influenced by age, active disease, BM, and MHDs. Four distinct clusters were identified among the IIMs according to comorbidities and PROMIS scores. Patients with IIMs have a higher burden of comorbidities that influence physical and mental health, identifiable as clinical clusters for optimized and holistic management approaches.

Using machine learning to gain insights into chronic disease multimorbidity: trends and patterns in British Columbia, Canada

ObjectiveThe goal of this project is to explore novel ways to assess chronic disease multimorbidity (co-occurrence of two or more conditions) trends and patterns in the population of British Columbia (BC), Canada. ApproachThis study included linked data from the BC population (~5M individuals) from 2001/02 to 2019/20. We analysed 25 chronic conditions, including 7 primary cancer subtypes. We report multimorbidity (MM) incidence, prevalence, and most common disease combinations. Further we explore temporal MM disease patterns using directed network analyses and extracted data-driven disease clusters with an unsupervised machine learning algorithm. ResultsThe age-standardized incidence of MM stayed relatively stable over the study period for males and decreased for females, while prevalence increased to approximately 1 in 4 individuals in BC in 2019/20 (from 19% to 27% of females, from 15% to 22% of males). Disease networks and clusters varied significantly by sex and age group, this presentation will highlight select disease network and cluster findings and discuss their implications for chronic disease surveillance. ConclusionsThe prevalence of multimorbidity continues to rise in BC. Using advanced analytics to understand disease co-occurrence patterns provides new insights above and beyond traditional epidemiological metrics to support health system planning and prevention efforts. ImplicationsChronic disease surveillance and research have historically operated with a single disease focus, which is not patient-centered and does not adequately account for the reality of multimorbidity for many people. This project is laying the foundation for enhanced chronic disease surveillance and monitoring in BC.

Effects of falls on self-rated health and anxiety in Chinese older persons with chronic multimorbidity : moderating role of psychological resilience

IntroductionThis study investigated the effects of falls on self-rated health and anxiety symptoms and the moderating role of psychological resilience in Chinese older persons with chronic multimorbidity.MethodsData were taken from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS). We used a linear regression model to evaluate the associations among falls and self-rated health and anxiety symptoms, the moderating role of psychological resilience was verified by moderation analysis, and we also used a replacement model to test robustness. Finally, the results of the study were further verified via heterogeneity analysis through subgroup regression.ResultsA total of 2933 people aged 60 years or older with chronic multimorbidity were included in our study. The linear regression results revealed that falls were significantly negatively correlated with the self-rated health symptoms of older Chinese people with chronic multimorbidity (β = -0.1703, p < 0.01) and significantly positively correlated with anxiety symptoms (β = 0.5590, p < 0.01). Among the moderating effects, we found that psychological resilience played a moderating role between falls and anxiety symptoms (β = − 0.151 [-0.217, -0.084], p < 0.01). Finally, we found heterogeneity in the study results by sex, residence and number of chronic diseases.ConclusionFalls are associated with poorer self-rated health and higher anxiety levels among older persons with chronic multimorbidity in China. High levels of psychological resilience have a moderating effect on the development of anxiety symptoms.

Sex Differences in the Associations Between Chronic Diseases and Insomnia Symptoms Among Older Adults in India.

Sleep problems are a critical issue in the aging population, affecting quality of life, cognitive efficiency, and contributing to adverse health outcomes. The coexistence of multiple diseases is common among older adults, particularly women. This study examines the associations between specific chronic diseases, multimorbidity, and insomnia symptoms among older Indian men and women, with a focus on the interaction of sex in these associations. Data were drawn from 31,464 individuals aged 60 and older in the Longitudinal Ageing Study in India, Wave-1 (2017-18). Insomnia symptoms were assessed using four questions adapted from the Jenkins Sleep Scale (JSS-4), covering difficulty falling asleep, waking up, waking too early, and feeling unrested during the day. Multivariable logistic regression models, stratified by sex, were used to analyze the associations between chronic diseases and insomnia symptoms. Older women had a higher prevalence of insomnia symptoms than men (44.73% vs 37.15%). Hypertension was associated with higher odds of insomnia in both men (AOR: 1.20) and women (AOR: 1.36). Women with diabetes had lower odds of insomnia (AOR: 0.80), while this association was not significant in men. Neurological or psychiatric disorders, stroke, and bone and joint diseases were linked to higher odds of insomnia in both sexes. Chronic lung disease was associated with insomnia in men (AOR: 1.65), but not in women. Additionally, having three or more chronic diseases significantly increased the odds of insomnia in both men (AOR: 2.43) and women (AOR: 2.01). Hypertension, bone and joint diseases, lung diseases, stroke, neurological or psychiatric disorders, and multimorbidity are linked to insomnia symptoms in older Indian adults. Disease-specific management and routine insomnia screening are crucial for promoting healthy aging in this vulnerable population.

Exploring the Sociodemographic and Health-Related Determinants of Telehealth Use Among a Cohort of Older Australians During the COVID-19 Pandemic: Repeated Cross-Sectional Study.

During the COVID-19 pandemic, there was a rapid adoption of telehealth care services as a public health strategy to maintain access to essential health care. In Australia, there has been increasing optimism for the expansion of telehealth services. However, little is known about the patterns and determinants of telehealth adoption among older adults, with concerns that an expansion of telehealth services may only be of benefit to those who already have better access to health care. Leveraging data collected by The Sax Institute's 45 and Up COVID Insights study between November 2020 and April 2022, the objective of this study was to identify and describe the sociodemographic and health-related determinants of telehealth adoption and use among a cohort of older Australians. We hypothesized that health-related factors would be key determinants of telehealth adoption for Australians aged ≥65 years during the COVID-19 pandemic. A repeated cross-sectional design was used. The relationships between telehealth use (classified as low, moderate, or high) and selected sociodemographic and health-related characteristics were assessed using logistic regression techniques. Variable selection and findings were situated within the Technology Acceptance Model, the Unified Theory of Acceptance, and the Use of Technology theoretical frameworks. Of the 21,830 participants aged ≥65 years, the proportion who indicated adopting telehealth ranged from 50.77% (11,082/21,830) at survey 1 in 2020 to 39.4% (7401/18,782) at survey 5 in 2022. High levels of telehealth use were associated with being female, aged <85 years, living in a major city, cohabiting with others, and being from the most socioeconomically disadvantaged areas (deciles 1-3). Individuals with a disability, chronic disease, multimorbidity, and lower perceived quality of life and those experiencing missed or delayed care were significantly more likely to use telehealth across all levels (P<.001). A temporal association was observed, whereby participants who engaged with telehealth services before or early in the pandemic (as assessed in survey 1) were more likely to continue telehealth use when assessed in survey 5 in 2022 (P<.001). This research contributes to the broader understanding of telehealth adoption and use among older adults. As telehealth models of care expand, there is an opportunity to tailor these services to the needs of older adults, particularly those living with chronic diseases and multimorbidity, by using targeted strategies that overcome barriers to accessing specialized health care services.

Exploring physical activity experiences of community-dwelling oldest-old adults with chronic multimorbidity: A qualitative study.

To explore the physical activity experiences of community-dwelling oldest-old adults with chronic multimorbidity. Descriptive qualitative study. Data collection was conducted through semi-structured interviews with 19 community-dwelling oldest-old adults with chronic multimorbidity. The study was conducted between December 2022 and May 2023. ATLAS.ti software was used for data analysis. Three main themes with their respective sub-themes and units of meaning were developed from the data analysis: (1) motivational factors for engaging in physical activity; (2) fear of getting hurt during physical activity and (3) confidence in being physically active. Motivation, kinesiophobia and confidence are three core elements that influence the experience of physical activity in oldest-old adults with chronic multimorbidity. Interventions tailored to meet the needs of the oldest-old adults are important for promotion and development of active ageing. Nurses and other healthcare professionals should design, implement and evaluate interventions that aim to increase oldest-old adults' motivation and confidence, while decreasing their fear to engage in physical activity. This study provides insights into the way community-dwelling oldest-old adults with chronic multimorbidity experience physical activity in their daily lives. Our findings suggest that motivation, kinesiophobia and confidence are key factors for oldest-old adults to engage in physical activity. These findings could contribute to the design and implementation of interventions that specifically aim at raising the physical activity levels of community-dwelling oldest-old adults with chronic multimorbidity. The study findings are reported according to the COREQ guidelines. No patient or public contribution.

Research status and recommendation on chronic diseases multimorbidity in the elderly in China

As Chinas population ages, the management of multimorbidity in the elderly has become a significant public health issue. Understanding the current state of research on chronic disease multimorbidity among elderly Chinese is now an urgent priority. This review addresses the growing problem of multimorbidity in elderly Chinese, focusing on prevalence, disease patterns, risk factors, and demographic characteristics. Current research highlights the significant impact of lifestyle habits and socioeconomic factors on multimorbidity. It also explores the negative effects on health-related quality of life (HRQoL), longevity, depression, and catastrophic health expenditure (CHE). This study provides valuable insights for public health governance and the development of targeted interventions for managing chronic disease multimorbidity in elderly Chinese. However, existing studies lack unified standards and definitions in disease classification and multimorbidity, and differences in study design and statistical methods may also affect the generalizability of the results. Therefore, future research should pay more attention to the important area of multimorbidity in the elderly and should focus on prevention and comprehensive management policies.

Multimorbidity patterns and the risk of falls among older adults: a community-based study in China

BackgroundDue to the high prevalence of multimorbidity and realistic health service demands for fall prevention, there is growing interest in the association between multimorbidity and falls. Our study aimed to identify multimorbidity patterns among Chinese older adults and explore the association between multimorbidity patterns and falls.MethodsData from 4,579 Chinese community-dwelling older adults was included in this analysis. Information regarding falls and 10 chronic conditions was collected. An exploratory factor analysis was performed to determine multimorbidity patterns. Regression models were fitted to explore the associations of individual chronic disease or multimorbidity patterns with falls.ResultsAmong 4,579 participants, 368 (8.0%) were defined as fallers, including 92 (2.0%) frequent fallers, and multimorbidity affected 2,503 (54.7%) participants. Older adults with multimorbidity were more likely to be fallers [odds ratio (OR) = 1.3, P = 0.02] and frequent fallers (OR = 1.7, P = 0.04). Three multimorbidity patterns were identified (i.e., cardiovascular-metabolic diseases, psycho-cognitive diseases and organic diseases), and the associations between psycho-cognitive diseases/organic diseases and prevalent falls or frequent falls were found to be significant.ConclusionsThe psycho-cognitive disease pattern and organic disease pattern are significantly associated with falls. Therefore, more attention should be paid to patients with psycho-cognitive diseases and timely, targeted diagnostic and treatment services should be provided in fall prevention.

Changes in patterns of multimorbidity and associated with medical costs among Chinese middle-aged and older adults from 2013 to 2023: an analysis of repeated cross-sectional surveys in Xiangyang, China.

Multimorbidity has become a major public health problem among Chinese middle-aged and older adults, and the most costly to the health care system. However, most previous population-based studies of multimorbidity have focused on a limited number of chronic diseases, and diagnosis was based on participants' self-report, which may oversimplify the problem. At the same time, there were few reports on the relationship between multimorbidity patterns and health care costs. This study analyzed the multimorbidity patterns and changes among middle-aged and older people in China over the past decade, and their association with medical costs, based on representative hospital electronic medical record data. Two cross-sectional surveys based on representative hospital data were used to obtain adults aged 45 years and older in Xiangyang in 2013 (n = 20,218) and 2023 (n = 63,517). Latent Class Analysis was used to analyze changes in the patterns of multimorbidity, gray correlation analysis and ordered logistics model were used to assess the association of multimorbidity patterns with medical expenses. The diagnosis and classification of chronic diseases were based on the International Classification of Diseases, Tenth Revision codes (ICD-10). The detection rate of chronic disease multimorbidity has increased (70.74 vs. 76.63%, p < 0.001), and multimorbidity patterns have increased from 6 to 9 (2013: Malignant tumors pattern, non-specific multimorbidity pattern, ischemic heart disease + hypertension pattern, cerebral infarction + hypertension pattern, kidney disease + hypertension pattern, lens disease + hypertension pattern; new in 2023: Nutritional metabolism disorders + hypertension pattern, chronic lower respiratory diseases + malignant tumors pattern, and gastrointestinal diseases pattern) in China. The medical cost of all multimorbidity patients have been reduced between 2013 and 2023 (RMB: 8216.74 vs. 7247.96, IQR: 5802.28-15,737 vs. 5014.63-15434.06). The top three specific multimorbidity patterns in both surveys were malignancy tumor pattern, ischemic heart disease + hypertension pattern, and cerebral infarction + hypertension pattern. Hypertension and type 2 diabetes are important components of multimorbidity patterns. Compared with patients with a single disease, only lens disorders + hypertension pattern were at risk of higher medical costs in 2013 (aOR:1.23, 95% CI: 1.03, 1.47), whereas all multimorbidity patterns were significantly associated with increased medical costs in 2023, except for lens disorders + hypertension (aOR:0.35, 95% CI: 0.32, 0.39). Moreover, the odds of higher medical costs were not consistent across multimorbidity patterns. Among them, ischemic heart disease + hypertension pattern [adjusted odds ratio (aOR):4.66, 95%CI: 4.31, 5.05] and cerebral infarction + hypertension pattern (aOR: 3.63, 95% CI: 3.35, 3.92) were the two patterns with the highest risk. Meanwhile, men (aOR:1.12, 95CI:1.09, 1.16), no spouse (aOR:1.09, 95CI: 1.03, 1.16) had a positive effect on medical costs, while patients with total self-pay (aOR: 0.45, 95CI: 0.29, 0.70), no surgery (aOR: 0.05, 95CI: 0.05, 0.05), rural residence (aOR: 0.92, 95CI: 0.89, 0.95), hospitalization days 1-5 (aOR: 0.04, 95CI: 0.04, 0.04), and hospitalization days 6-9 (aOR: 0.15, 95CI: 0.15, 0.16) had a negative impact on medical costs. Multimorbidity patterns among middle-aged and older adults in China have diversified over the past decade and are associated with rising health care costs in China. Smart, decisive and comprehensive policy and care interventions are needed to effectively manage NCDS and their risk factors and to reduce the economic burden of multimorbidity on patients and the country.

Care models for individuals with chronic multimorbidity: lessons for low- and middle-income countries

BackgroundPatients with multiple long-term conditions requires understanding the existing care models to address their complex and multifaceted health needs. However, current literature lacks a comprehensive overview of the essential components, impacts, challenges, and facilitators of these care models, prompting this scoping review.MethodsA scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-analysis Extension for Scoping Reviews guideline. Our search encompassed articles from PubMed, Web of Science, EMBASE, SCOPUS, and Google Scholar. The World Health Organization’s health system framework was utilized to synthesis the findings. This framework comprises six building blocks (service delivery, health workforce, health information systems, access to essential medicines, financing, and leadership/governance) and eight key characteristics of good service delivery models (access, coverage, quality, safety, improved health, responsiveness, social and financial risk protection, and improved efficiency). Findings were synthesized qualitatively to identify components, impacts, barriers, and facilitators of care models.ResultsA care model represents various collective interventions in the healthcare delivery aimed at achieving desired outcomes. The names of these care models are derived from core activities or major responsibilities, involved healthcare teams, diseases conditions, eligible clients, purposes, and care settings. Notable care models include the Integrated, Collaborative, Integrated-Collaborative, Guided, Nurse-led, Geriatric, and Chronic care models, as well as All-inclusive Care Model for the Elderly, IMPACT clinic, and Geriatric Patient-Aligned Care Teams (GeriPACT). Other care models (include Care Management Plus, Value Stream Mapping, Preventive Home Visits, Transition Care, Self-Management, and Care Coordination) have supplemented the main ones. Care models improved quality of care (such as access, patient-centeredness, timeliness, safety, efficiency), cost of care, and quality of life for patients that were facilitated by presence of shared mission, system and function integration, availability of resources, and supportive tools.ConclusionsCare models were implemented for the purpose of enhancing quality of care, health outcomes, cost efficiency, and patient satisfaction by considering careful recruitment of eligible clients, appropriate selection of service delivery settings, and robust organizational arrangements involving leadership roles, healthcare teams, financial support, and health information systems. The distinct team compositions and their roles in service provision processes differentiate care models.

Association Between Multimorbidity and Presence of Diagnosed Vision Problems Among the Middle-Aged and Older Population in India

ABSTRACT Purpose The aim of the study was to estimate the prevalence of diagnosed vision problems and to examine the association of single and multiple chronic conditions with vision problems among middle-aged and older adults in India. Methods The study utilized data from the Longitudinal Ageing Study in India (LASI) Wave 1, (2017–18). Descriptive statistics along with bivariate and multivariable analyses were conducted to achieve the study objectives. Results The prevalence of diagnosed vision problems in the sampled population was 48.2%. The older adults (60+ years) (55.3%) had shown a greater prevalence of vision problems than the middle-aged individuals (41%). Among chronic conditions, hypertension, diabetes, chronic lung diseases, chronic heart diseases, bone related diseases, psychiatric disorders, and high cholesterol were significantly associated with vision problems in the case of both middle-aged and older adults. Furthermore, odds of experiencing vision problems according to the presence of multimorbidity were higher in the middle-aged population [adjusted odds ratio (AOR) = 1.986; confidence interval (CI):1.855–2.126] than in the older population [AOR = 1.746; CI:1.644–1.854]. Conclusions Middle-aged and older adults with chronic illnesses and multimorbidity were at greater risk of vision problems. Due to the high prevalence of vision problem, interventions aimed at prevention or early detection are warranted.

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

BackgroundA 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. ObjectivesWe aimed to investigate the associations of a low-inflammatory diet with the multimorbidity trajectory. MethodsWithin 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. ResultsDuring 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. ConclusionsA 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.

Sociodemographic and Clinical Characteristics of Older Adults With Suicide-Related Emergency Department Presentations.

To identify characteristics of older adult emergency department (ED) patients aged ≥65 with suicidal ideation and/or behavior. A single center retrospective chart review analyzed 392 patients (≥65) with suicidal ideation and/or behavior (2013-2019). Comprehensive full-text searches were used. Subgroup analyses for age and gender were conducted. Depressive disorder was documented in 50% of cases. Notably, 54% of all women were prescribed antidepressants, compared to only 31% of men. Most patients had general medical conditions (74.5%) and chronic multimorbidity (71.2%). Social stress affected 40.1%; 35.7% were intoxicated upon presentation. Alcohol abuse was more common in the 65-74 age group, while dementia impacted 20% of those ≥75. Men had a six-fold higher 30-day post-discharge mortality. Older ED patients with suicidal ideation and/or behavior exhibit typical characteristics. The dementia prevalence suggests tailored care for those ≥75, and the heightened post-discharge mortality rate in older men requires further research.

A Multi-State Model Study of the Disability-Free Life Expectancy Among Older Adults with Chronic Multimorbidity Based on CHARLS - China, 2011-2020.

Chronic disease multimorbidity is prevalent among older Chinese people, seriously affecting their well-being and quality of life. This study estimated the impact of multimorbidity on the risk of health state transitions and health expectancy among older adults in China. It used population-representative, long-term longitudinal data and multi-state Markov modeling along with microsimulation methods. The study results suggest that the Chinese government should strengthen the prevention and management of multimorbidity and accelerate the transition from chronic disease management to multimorbidity management.

Multimorbidity and patient experience with general practice: A national cross-sectional survey in Norway

BackgroundPatient experience is an important indicator of the quality of healthcare. Patients with multimorbidity often face adverse health outcomes and increased healthcare utilisation. General practitioners play a crucial role in managing these patients. The main aim of our study was to perform an in-depth assessment of differences in patient-reported experience with general practice between patients living with chronic conditions and multimorbidity, and those with no chronic conditions.MethodsWe performed secondary analyses of a national survey of patient experience with general practice in 2021 (response rate 41.9%, n = 7,912). We described the characteristics of all survey respondents with no, one, two, and three or more self-reported chronic conditions. We assessed patient experience using four scales from the Norwegian patient experience with GP questionnaire (PEQ-GP). These scales were used as dependent variables in bivariate and multivariate analyses and for testing the measurement model, including confirmatory factor analysis and a multigroup CFA to assess measurement invariance. Sentiment and content analysis of free-text comments was also performed.ResultsPatients with chronic conditions consistently reported lower scores on the GP and GP practice experience scales, compared to those without chronic conditions. This pattern persisted even after adjustment for patient background variables. The strongest associations were found for the scale of “Enablement”, followed by the scales of “GP” and “Practice”. The subscale “Accessibility” did not correlate statistically significantly with any number of chronic conditions. The analysis of free-text comments echoed the quantitative results. Patients with multimorbidity stressed the importance of time spent on consultations, meeting the same GP, follow-up and relationship more often than patients with no chronic conditions. Our study also confirmed measurement invariance across patients with no chronic conditions and patients with multimorbidity, indicating that the observed differences in patient experience were a result of true differences, rather than artifacts of measurement bias.ConclusionsThe findings highlight the need for the healthcare system to provide customised support for patients with chronic conditions and multimorbidity. Addressing the specific needs of patients with multimorbidity is a critical step towards enhancing patient experience and the quality of care in general practice.