Multiple Chronic Condition Emergency Department Visits Among U.S. Adults: Disparities at the Intersection of Intellectual and Developmental Disabilities Status and Race or Ethnicity.

Background: The study aims to examine the risk of multiple chronic condition (MCC)-related emergency department (ED) visits, MCC-related hospitalization following the ED visit, and mortality after MCC-related ED visits among adults with intellectual and developmental disabilities (IDD), adults compared with nondisabled adults by race and ethnicity, using the 2020 Healthcare Cost and Utilization Project Nationwide Emergency Department Sample. Methods: We identified IDD adults using ICD-10-CM codes, extracting 296,394 nondisabled adults and 99,538 IDD adults, of which 67,771 are white, 19,164 are black, 10,667 are Latinx, and 1936 are other race or multiple race. The control group of nondisabled adults was age-matched and sex-matched in a 1:3 case-control ratio. We conducted multilevel Poisson regression models for the binary-dependent variables and adjusted for covariates, including sociodemographic and hospital characteristics. Results: The results show that across all racial/ethnic groups, individuals with IDD have significantly higher rates of MCC-related ED visits, hospitalizations, and deaths compared with nondisabled. Moreover, the disparities are more pronounced for individuals from racial/ethnic minority groups. Black and Latinx individuals with IDD have significantly higher rates of MCC-related ED visits and poor outcomes than their white counterparts with and without IDD. Conclusions: The findings from this study highlight significant racial and ethnic disparities in the risk of MCC-related ED visits, hospitalization following the ED visit, and mortality through the ED among IDD adults. This underscores the importance of adopting a multifaceted approach that addresses the social determinants of health, enhances access to health care, improves quality of care, and enhances care coordination.

Predictive analytics support for complex chronic medical conditions: An experience-based co-design study of physician managers' needs and preferences.

PURPOSE: The literature suggests predictive technology applications in health care would benefit from physician and manager input during design and development. The aim was to explore the needs and preferences of physician managers regarding the role of predictive analytics in decision support for patients with the highly complex yet common combination of multiple chronic conditions of cardiovascular (Heart) and kidney (Nephrology) diseases and diabetes (HND). METHODS: This qualitative study employed an experience-based co-design model comprised of three data gathering phases: 1. Patient mapping through non-participant observations informed by process mining of electronic health records data, 2. Semi-structured experience-based interviews, and 3. A co-design workshop. Data collection was conducted with physician managers working at or collaborating with the HND center, Danderyd University Hospital (DSAB), in Stockholm, Sweden. HND center is an integrated practice unit offering comprehensive person-centered multidisciplinary care to stabilize disease progression, reduce visits, and develop treatment strategies that enables a transition to primary care. RESULTS: Interview and workshop data described a complex challenge due to the interaction of underlying pathophysiologies and the subsequent need for multiple care givers that hindered care continuity. The HND center partly met this challenge by coordinating care through multiple interprofessional and interdisciplinary shared decision-making interfaces. The large patient datasets were difficult to operationalize in daily practice due to data entry and retrieval issues. Predictive analytics was seen as a potentially effective approach to support decision-making, calculate risks, and improve resource utilization, especially in the context of complex chronic care, and the HND center a good place for pilot testing and development. Simplicity of visual interfaces, a better understanding of the algorithms by the health care professionals, and the need to address professional concerns, were identified as key factors to increase adoption and facilitate implementation. CONCLUSIONS: The HND center serves as a comprehensive integrated practice unit that integrates different medical disciplinary perspectives in a person-centered care process to address the needs of patients with multiple complex comorbidities. Therefore, piloting predictive technologies at the same time with a high potential for improving care represents an extreme, demanding, and complex case. The study findings show that health care professionals' involvement in the design of predictive technologies right from the outset can facilitate the implementation and adoption of such technologies, as well as enhance their predictive effectiveness and performance. Simplicity in the design of predictive technologies and better understanding of the concept and interpretation of the algorithms may result in implementation of predictive technologies in health care. Institutional efforts are needed to enhance collaboration among the health care professionals and IT professionals for effective development, implementation, and adoption of predictive analytics in health care.

Healthcare service use for children with chronic complex diseases: A longitudinal six-year follow-up study.

PURPOSE: The objective was analysed the patterns use of healthcare services of this population and the influence of their clinical and sociodemographic characteristics. DESIGN AND METHODS: A six-year longitudinal follow-up study was performed to evaluate the annual healthcare resources use and clinical data among children with complex chronic diseases in Spain between 2015 and 2021. The sample trends in healthcare usage and the associated factors were analysed using ANCOVA and multivariable linear regression models. RESULTS: Patients had high attendance during the follow-up period, with >15 episodes year. This trend decreased over time, especially in children with oncological diseases compared with other diseases (F (16.75; 825.4) = 32.457; p < 0.001). A multivariable model showed that children with a greater number of comorbidities (ß = 0.17), shorter survival time (ß = -0.23), who had contact with the palliative care unit (ß = 0.16), and whose mothers had a higher professional occupation (ß = 0.14), had a greater use of the healthcare system. CONCLUSIONS: Children with a higher number of comorbidities and the use of medical devices made a greater frequentation of health services, showing a trend of decreasing use over time. Socioeconomic factors such as mothers' occupational status determine healthcare frequentation. These results suggest the existence of persistent gaps in care coordination sustained over time. PRACTICAL IMPLICATIONS: Systematized and coordinated models of care for this population should consider the presence of inequalities in health care use.

Maternal-fetal outcomes in patients with immune-mediated inflammatory diseases, with consideration of comorbidities: a retrospective cohort study in a large U.S. healthcare system.

Background: Immune-mediated inflammatory diseases (IMIDs) are likely to complicate maternal health. However, literature on patients with IMIDs undergoing pregnancy is scarce and often overlooks the presence of comorbidities. We aimed to evaluate the impact of IMIDs on adverse pregnancy outcomes after assessing and addressing any discrepancies in the distribution of covariates associated with adverse pregnancy outcomes between patients with and without IMIDs. Methods: We conducted a retrospective cohort study using data from an integrated U.S. community healthcare system that provides care across Alaska, California, Montana, Oregon, New Mexico, Texas, and Washington. We used a database containing all structured data from electronic health record (EHRs) and analyzed the cohort of pregnant people who had live births from January 1, 2013, through December 31, 2022. We investigated 12 selected IMIDs: psoriasis, inflammatory bowel disease, rheumatoid arthritis, spondyloarthritis, multiple sclerosis, systemic lupus erythematosus, psoriatic arthritis, antiphospholipid syndrome, Sjögren's syndrome, vasculitides, sarcoidosis, and systemic sclerosis. We characterized patients with IMIDs prior to pregnancy (IMIDs group) based on pregnancy/maternal characteristics, comorbidities, and pre-pregnancy/prenatal immunomodulatory medications (IMMs) prescription patterns. We 1:1 propensity score matched the IMIDs cohort with people who had no IMID diagnoses prior to pregnancy (non-IMIDs cohort). Outcome measures were preterm birth (PTB), low birth weight (LBW), small for gestational age (SGA), and caesarean section. Findings: Our analytic cohort had 365,075 people, of which 5784 were in the IMIDs group and 359,291 were in the non-IMIDs group. The prevalence rate of pregnancy of at least 20 weeks duration in people with a previous IMID diagnosis has doubled in the past ten years. 17% of the IMIDs group had at least one prenatal IMM prescription. Depending on the type of IMM, 48%-70% of the patients taking IMMs before pregnancy continued them throughout pregnancy. Overall, patients with one or more of these 12 IMIDs had increased risk of PTB (Relative risk (RR) = 1.1 [1.0, 1.3]; p = 0.08), LBW (RR = 1.2 [1.0, 1.4]; p = 0.02), SGA (RR = 1.1 [1.0, 1.2]; p = 0.03), and caesarean section (RR = 1.1 [1.1, 1.2], p < 0.0001) compared to a matched cohort of people without IMIDs. When adjusted for comorbidities, patients with rheumatoid arthritis (PTB RR = 1.2, p = 0.5; LBW RR = 1.1, p = 0.6) and/or inflammatory bowel disease (PTB RR = 1.2, p = 0.3; LBW RR = 1.0, p = 0.8) did not have significantly increased risk for PTB and LBW. Interpretation: For patients who have been pregnant for 20 weeks or greater, the association between IMIDs and adverse pregnancy outcomes depends on both the nature of the IMID and the presence of comorbidities. Because this study was limited to pregnancies resulting in live births, results must be interpreted together with other studies on early pregnancy loss and stillbirth in patient with IMIDs. Funding: National Institutes of Health.

Storylines of family medicine VIII: clinical approaches.

Storylines of Family Medicine is a 12-part series of thematically linked mini-essays with accompanying illustrations that explore the many dimensions of family medicine as interpreted by individual family physicians and medical educators in the USA and elsewhere around the world. In 'VIII: clinical approaches', authors address the following themes: 'Evaluation, diagnosis and management I-toward a working diagnosis', 'Evaluation, diagnosis and management II-process steps', 'Interweaving integrative medicine and family medicine', 'Halfway-the art of clinical judgment', 'Seamless integration in family medicine-team-based care', 'Technology-uncovering stories from noise' and 'Caring for patients with multiple long-term conditions'. May readers recognise in these essays the uniqueness of a family medicine approach to care.

The influence of health literacy, anxiety and education on shared decision making and decisional conflict in older adults, and the mediating role of patient participation: A video observational study.

OBJECTIVE: To explore the relationship between personal characteristics of older adults with multiple chronic conditions (MCCs) and perceived shared decision making (SDM) resp. decisional conflict. METHODS: In a video-observational study (N = 213) data were collected on personal characteristics. The main outcomes were perceived level of SDM and decisional conflict. The mediating variable was participation in the SDM process. A twostep mixed effect multilinear regression and a mediation analysis were performed to analyze the data. RESULTS: The mean age of the patients was 77.3 years and 56.3% were female. Health literacy (ß.01, p < .001) was significantly associated with participation in the SDM process. Education (ß = -2.43, p = .05) and anxiety (ß = -.26, p = .058) had a marginally significant direct effect on the patients' perceived level of SDM. Education (ß = 12.12, p = .002), health literacy (ß = -.70, p = .005) and anxiety (ß = 1.19, p = .004) had a significant direct effect on decisional conflict. The effect of health literacy on decisional conflict was mediated by participation in SDM. CONCLUSION: Health literacy, anxiety and education are associated with decisional conflict. Participation in SDM during consultations plays a mediating role in the relationship between health literacy and decisional conflict. PRACTICE IMPLICATIONS: Tailoring SDM communication to health literacy levels is important for high quality SDM.

Experience-based Modifications of the Bed Band ReAlised through Co-dEsign (EMBRACE).

BACKGROUND: Upper body limitations are a common disability in neurological conditions including stroke and multiple sclerosis. Care of patients with upper body limitations while in bed involves positioning techniques to maximise comfort and independence. The Bed Band is a nurse-led innovation to support people with limited mobility to maintain a comfortable position in bed, thereby promoting comfort and independence with activities of daily living. AIM: To co-design and implement adaptations to the Bed Band prototype with recommendations for user instructions towards enhanced product design and future development. METHODS: A co-design approach involving collaboration between academic and industry partners. Expert stakeholders provided feedback on the Bed Band via an online focus group before healthy volunteers tested the product in a healthcare simulation suite. Data were thematically analysed and findings sense checked by expert stakeholders who then prioritised adaptations to the Bed Band using a modified Delphi technique. RESULTS: Three themes resulted from the analysis: (1) reaction to the Bed Band; (2) potential risks and mitigation; and (3) product adaptations. Simplicity was a strength of the innovation which easily enabled positional support. Adaptations to the Bed Band informed the development of an enhanced prototype for testing in future studies. CONCLUSION: Co-design of the Bed Band prototype involving experts and healthy volunteers enabled early identification of potential risks with recommendations to mitigate them and priority adaptations. Further studies are required in hospital patients and community populations with upper mobility issues to determine the efficacy of the Bed Band and optimal duration of use.

The Australian Traumatic Brain Injury Initiative: Systematic Review and Consensus Process to Determine the Predictive Value of Pre-existing Health Conditions for People with Moderate-Severe Traumatic Brain Injury.

The first aim of the Australian Traumatic Brain Injury Initiative (AUS-TBI) encompasses development of a set of measures that comprehensively predict outcomes for people with moderate-severe TBI across Australia. This process engaged diverse stakeholders and information sources across six areas: social, health, and clinical factors; biological markers; treatments; and longer-term outcomes. Here, we report the systematic review of pre-existing health conditions as predictors of outcome for people with moderate-severe TBI. Standardized searches were implemented across databases until March 31, 2022. English-language reports of studies evaluating association between pre-existing health conditions and clinical outcome in at least 10 patients with moderate-severe TBI were included. A predefined algorithm was used to assign a judgement of predictive value to each observed association. The list of identified pre-existing health conditions was then discussed with key stakeholders during a consensus meeting to determine the feasibility of incorporating them into standard care. The searches retrieved 22,217 records, of which 47 articles were included. The process led to identification of 88 unique health predictors (homologized to 21 predictor categories) of 55 outcomes (homologized to 19 outcome categories). Only pre-existing health conditions with high and moderate predictive values were discussed during the consensus meeting. Following the consensus meeting, 5 out of 11 were included (migraine, mental health conditions, ≥4 pre-existing health conditions, osteoporosis, and body mass index [BMI]) as common data elements in the AUS-TBI data dictionary. Upon further discussion, 3 additional pre-existing health conditions were included. These are pre-existing heart disease, frailty score, and previous incidence of TBI.

Effects of intervention stage completion in an integrated behavioral health and primary care randomized pragmatic intervention trial.

Purpose: A pragmatic, cluster-randomized controlled trial of a comprehensive practice-level, multi-staged practice transformation intervention aimed to increase behavioral health integration in primary care practices and improve patient outcomes. We examined association between the completion of intervention stages and patient outcomes across a heterogenous national sample of primary care practices. Methods: Forty-two primary care practices across the U.S. with co-located behavioral health and 2,426 patients with multiple chronic medical and behavioral health conditions completed surveys at baseline, midpoint and two year follow-up. Effects of the intervention on patient health and primary care integration outcomes were examined using multilevel mixed-effects models, while controlling for baseline outcome measurements. Results: No differences were found associated with the number of intervention stages completed in patient health outcomes were found for depression, anxiety, fatigue, sleep disturbance, pain, pain interference, social function, patient satisfaction with care or medication adherence. The completion of each intervention stage was associated with increases in Practice Integration Profile (PIP) domain scores and were confirmed with modeling using multiple imputation for: Workflow 3.5 (95% CI: 0.9-6.1), Integration Methods 4.6 (95% CI: 1.5-7.6), Patient Identification 2.9 (95% CI: 0.9-5.0), and Total Integration 2.7 (95% CI: 0.7-4.7). Conclusion: A practice-centric flexible practice transformation intervention improved integration of behavioral health in primary care across heterogenous primary care practices treating patients with multiple chronic conditions. Interventions that allow practices to flexibly improve care have potential to help complex patient populations. Future research is needed to determine how to best target patient health outcomes at a population level.

Healthy lifestyle decreases the risk of the first incidence of non-communicable chronic disease and its progression to multimorbidity and its mediating roles of metabolic components: a prospective cohort study in China.

OBJECTIVES: To identify the influence of healthy lifestyles on the incidence of the first NCD (FNCD), multiple chronic conditions (MCCs), and the progression from FNCD to MCCs. DESIGN: cohort study. SETTING: Zhejiang, China PARTICIPANTS: 10566 subjects (55.5 ± 13.5 years, 43.1% male) free of NCDs at baseline from the Zhejiang Metabolic Syndrome prospective cohort. MEASUREMENTS: Healthy lifestyle score (HLS) was developed by 6 common healthy lifestyle factors as smoking, alcohol drinking, physical activity, body mass index (BMI) and waist-to-hip ratio (WHR). Healthy lifestyle data and metabolic biomarkers collected via a face-to-face questionnaire-based interview, clinical health examination and routine biochemical determination. Biochemical variables were determined using biochemical auto-analyzer. Participants were stratified into four group based on the levels of HLS as ≤2, 3, 4 and ≥5. Multiple Cox proportional hazards model was applied to examine the relationship between HLS and the risk of FNCD, MCCs and the progression from FNCD to MCCs. The population-attributable fractions (PAF) were used to assess the attributable role of HLS. Mediating effect was examined by mediation package in R. RESULTS: After a median of 9.92 years of follow-up, 1572 participants (14.9%) developed FNCD, and 149 (1.4%) developed MCCs. In the fully adjusted model, the higher HLS group (≥5) was associated with lower risk of FNCD (HR = 0.68 and 95% CI: 0.56-0.82), MCCs (HR = 0.31 and 95%CI: 0.14-0.69); and the progression from FNCD to MCCs (HR = 0.39 and 95%CI: 0.18-0.85). Metabolic components (TC, TG, HDL-C, LDC-C, FPG, and UA) played the mediating roles with the proportion ranging from 5.02% to 22.2% for FNCD and 5.94% to 20.1% for MCCs. PAFs (95%CI) for poor adherence to the overall healthy lifestyle (HLS ≤ 3) were 17.5% (11.2%, 23.7%) for FNCD, 42.9% (23.4%, 61.0%) for MCCs, and 37.0% (15.5%, 56.3%) for the progression from FNCD to MCCs. CONCLUSIONS: High HLS decreases the risk of FNCD, MCCs, and the progression from FNCD to MCCs. These effects are partially mediated by metabolic components. Maintaining healthy lifestyles might reduce the disease burden of common chronic diseases.

A Laplacian regularized graph neural network for predictive modeling of multiple chronic conditions.

BACKGROUND AND GOALS: One of the biggest difficulties facing healthcare systems today is the prevalence of multiple chronic diseases (MCC). Mortality and the development of new chronic illnesses are more likely in those with MCC. Pre-existing diseases and risk factors specific to the patient have an impact on the complex stochastic process that guides the evolution of MCC. This study's goal is to use a brand-new Graph Neural Network (GNN) model to examine the connections between specific chronic illnesses, patient-level risk factors, and pre-existing conditions. METHODS: We propose a graph neural network model to analyze the relationship between five chronic conditions (diabetes, obesity, cognitive impairment, hyperlipidemia, and hypertension). The proposed model adds a graph Laplacian regularization term to the loss function, which aims to improve the parameter learning process and accuracy of the GNN based on the graph structure. For validation, we used historical data from the Cameron County Hispanic Cohort (CCHC). RESULTS: Evaluating the Laplacian regularized GNN on data from 600 patients, we expanded our analysis from two chronic conditions to five chronic conditions. The proposed model consistently surpassed a baseline GNN model, achieving an average accuracy of ≥89% across all combinations. In contrast, the performance of the standard model declined more markedly with the addition of more chronic conditions. The Laplacian regularization provided consistent predictions for adjacent nodes, beneficial in cases with shared attributes among nodes. CONCLUSIONS: The incorporation of Laplacian regularization in our GNN model is essential, resulting in enhanced node categorization and better predictive performance by harnessing the graph structure. This study underscores the significance of considering graph structure when designing neural networks for graph data. Future research might further explore and refine this regularization method for various tasks using graph-structured data.

Multimorbidity and frailty are associated with poorer SARS-CoV-2-related outcomes: systematic review of population-based studies.

BACKGROUND: Estimating the risks and impacts of COVID-19 for different health groups at the population level is essential for orienting public health measures. Adopting a population-based approach, we conducted a systematic review to explore: (1) the etiological role of multimorbidity and frailty in developing SARS-CoV-2 infection and COVID-19-related short-term outcomes; and (2) the prognostic role of multimorbidity and frailty in developing short- and long-term outcomes. This review presents the state of the evidence in the early years of the pandemic. It was conducted within the European Union Horizon 2020 program (No: 101018317); Prospero registration: CRD42021249444. METHODS: PubMed, Embase, World Health Organisation COVID-19 Global literature on coronavirus disease, and PsycINFO were searched between January 2020 and 7 April 2021 for multimorbidity and 1 February 2022 for frailty. Quantitative peer-reviewed studies published in English with population-representative samples and validated multimorbidity and frailty tools were considered. RESULTS: Overall, 9,701 records were screened by title/abstract and 267 with full text. Finally, 14 studies were retained for multimorbidity (etiological role, n = 2; prognostic, n = 13) and 5 for frailty (etiological role, n = 2; prognostic, n = 4). Only short-term outcomes, mainly mortality, were identified. An elevated likelihood of poorer outcomes was associated with an increasing number of diseases, a higher Charlson Comorbidity Index, different disease combinations, and an increasing frailty level. DISCUSSION: Future studies, which include the effects of recent virus variants, repeated exposure and vaccination, will be useful for comparing the possible evolution of the associations observed in the earlier waves.

Multimorbidity Patterns, Hospital Uses and Mortality by Race and Ethnicity Among Oldest-Old Patients.

BACKGROUNDS: Adults aged 85 years and older ("oldest-old") are perceived as survivors resilient to age-related risk factors. Although considerable heterogeneity has been often observed in this population, less is known about the unmet needs in health and healthcare service utilization for diverse patients in healthcare systems. We examined racial-ethnic variation in patterns of multimorbidity associated with emergency department (ED), clinic visits, and mortality among the oldest-old patients with multimorbidity. METHODS: Administrative and clinical data from an integrated healthcare system for five years included 25,801 oldest-old patients with two or more chronic conditions. Hierarchical cluster analysis identified patterns of multimorbidity by four racial-ethnic groups (White, Black, Hispanic, & Other). Clusters associated with ED and clinic visits, and mortality were analyzed using generalized estimation equations and proportional hazards survival model, respectively. RESULTS: Hypothyroidism, Alzheimer's disease and related dementia, bone & joint conditions, metabolism syndrome, and pulmonary-vascular clusters were commonly observed across the groups. While most clusters were significantly associated with ED and clinic visits among White patients, bone & joint conditions cluster was the most significantly associated with ED and clinic visits among Black (RR = 1.32, p <.01 for ED; RR = 1.67, p <.0001 for clinic) and Hispanic patients (RR = 1.36, p <.0001 for ED; RR = 1.39, p <.0001 for clinic). Similar patterns were observed in the relationship between multimorbidity clusters and mortality. CONCLUSIONS: Patterns of multimorbidity and its significant association with the uses of ambulatory and emergency care varied by race-ethnicity. More studies are needed to explore barriers when minoritized patients are faced with the use of hospital services.

Multimorbidity clusters in adults 50 years or older with and without a history of cancer: National Health Interview Survey, 2018.

BACKGROUND: Multimorbidity is increasing among adults in the United States. Yet limited research has examined multimorbidity clusters in persons aged 50 years and older with and without a history of cancer. An increased understanding of multimorbidity clusters may improve the cancer survivorship experience for survivors with multimorbidity. METHODS: We identified 7580 adults aged 50 years and older with 2 or more diseases-including 811 adults with a history of primary breast, colorectal, cervical, prostate, or lung cancer-from the 2018 National Health Interview Survey. Exploratory factor analysis identified clusters of multimorbidity among cancer survivors and individuals without a history of cancer (controls). Frequency tables and chi-square tests were performed to determine overall differences in sociodemographic characteristics, health-related characteristics, and multimorbidity between groups. RESULTS: Cancer survivors reported a higher prevalence of having 4 or more diseases compared to controls (57% and 38%, respectively). Our analysis identified 6 clusters for cancer survivors and 4 clusters for controls. Three clusters (pulmonary, cardiac, and liver) included the same diseases for cancer survivors and controls. CONCLUSIONS: Diseases clustered differently across adults ≥ 50 years of age with and without a history of cancer. Findings from this study may be used to inform clinical care, increase the development and dissemination of multilevel public health interventions, escalate system improvements, and initiate innovative policy reform.

Characterizing the impact of multiple chronic conditions on return to participation in chronic stroke survivors.

BACKGROUND: Each year, 795,000 Americans experience a stroke. As stroke mortality declines, more individuals are in the chronic phase of recovery (>6 months post-stroke). Over 80% of stroke survivors have multiple, chronic health conditions (MCC). While the relationship between MCC and mortality and function during acute recovery has been explored, less is known about how MCC burden affects participation in chronic stroke survivors. OBJECTIVE: This study investigated whether MCC burden is related to participation in those with chronic stroke. METHODS: Two hundred and sixty-six participants with chronic (≥6 months) stroke were included in this cross-sectional and retrospective analysis. Participants had a mean age of 62.2 ± 12.8 years, and time since stroke (TSS) of 36.0 ± 44.6 months (114F/152 M). Participants completed the 6-minute Walk Test (6MWT), Activities-Specific Balance Confidence Scale (ABC), Modified Cumulative Illness Rating Scale (MCIR) to quantify the presence and severity of chronic illness across 14 body systems, and the Stroke Impact Scale - Participation subscale (SIS-P). Participation (SIS-P) was the dependent variable. Independent variables were entered into a sequential regression model in three blocks: demographic variables, physical capacity (6MWT distance) and balance self-efficacy (ABC), and MCC burden (MCIR). RESULTS: After adjusting for age, sex, and time since stroke, physical capacity and balance self-efficacy explained 31.4% (p < 0.001), and the MCC burden explained 2.0% (p = 0.004). Higher participation was related to lower MCC burden. CONCLUSIONS: MCC burden is a significant contributor to variance in participation in chronic stroke survivors, above and beyond demographics, physical capacity, and self-efficacy, and therefore should be considered when creating rehabilitation programs to improve participation.

Urban-rural differences in associations among perceived stress, resilience and self-care in Chinese older adults with multiple chronic conditions.

BACKGROUND: Social determinants of health (SDH) are mainly comprised of structural and intermediary domains. Emerging evidence suggests that the burden of multiple chronic conditions (MCCs) in older adults is exacerbated by structural determinants (e.g. low income and low education). However, less attention was paid to the intermediary determinants (i.e. material circumstances, psychosocial factors and behavioural factors) of MCCs. OBJECTIVES: To investigate the associations among perceived stress, resilience and self-care in Chinese older adults with MCCs by comparing urban and rural groups. METHODS: A convenience sample (125 and 115 participants from urban and rural settings, respectively) of Chinese older adults with MCCs was enrolled between January and April 2022. Hierarchical multiple regression analyses and propensity score weights were used to determine the associations among perceived stress, resilience and self-care. RESULTS: Hypothesis 1 regarding the negative associations between perceived stress and self-care was fully supported in the rural group. However, for the urban group, the negative association was only supported for the relationship between MCCs-related perceived stress and self-care maintenance. Hypothesis 2 was fully supported regarding the positive associations between resilience and the three components of self-care in both groups, although the relationship between resilience and self-care monitoring was marginally significant in the urban group. Hypothesis 3 regarding the moderating effect of resilience was only supported in the relationship between general perceived stress and self-care monitoring in the rural group. After adding the propensity score weights, the moderating effect was no longer statistically significant in the rural group. CONCLUSIONS: The urban-rural disparities in the Chinese context might largely be attributed to the complex interactions of the structural determinants and intermediary determinants. Findings can inform the development of culturally tailored interventions to promote self-care and reduce urban-rural disparities for Chinese older adults with MCCs. IMPLICATIONS FOR PRACTICE: With the increasing number of older adults in China who are living with multiple chronic conditions and the call for effective interventions to improve their health outcomes, current findings can inform the development and implementation of nurse-led culturally tailored interventions to promote self-care and reduce urban-rural disparities for Chinese older adults with MCCs.

Patterns of multiple chronic conditions in pregnancy: Population-based study using latent class analysis.

BACKGROUND: Adults with multiple chronic conditions (MCC) are a heterogeneous population with elevated risk of future adverse health outcomes. Yet, despite the increasing prevalence of MCC globally, data about MCC in pregnancy are scarce. OBJECTIVES: To estimate the population prevalence of MCC in pregnancy and determine whether certain types of chronic conditions cluster together among pregnant women with MCC. METHODS: We conducted a population-based cohort study in Ontario, Canada, of all 15-55-year-old women with a recognised pregnancy, from 2007 to 2020. MCC was assessed from a list of 22 conditions, identified using validated algorithms. We estimated the prevalence of MCC. Next, we used latent class analysis to identify classes of co-occurring chronic conditions in women with MCC, with model selection based on parsimony, clinical interpretability and statistical fit. RESULTS: Among 2,014,508 pregnancies, 324,735 had MCC (161.2 per 1000, 95% confidence interval [CI] 160.6, 161.8). Latent class analysis resulted in a five-class solution. In four classes, mood and anxiety disorders were prominent and clustered with one additional condition, as follows: Class 1 (22.4% of women with MCC), osteoarthritis; Class 2 (23.7%), obesity; Class 3 (15.8%), substance use disorders; and Class 4 (22.1%), asthma. In Class 5 (16.1%), four physical conditions clustered together: obesity, asthma, chronic hypertension and diabetes mellitus. CONCLUSIONS: MCC is common in pregnancy, with sub-types dominated by co-occurring mental and physical health conditions. These data show the importance of preconception and perinatal interventions, particularly integrated care strategies, to optimise treatment and stabilisation of chronic conditions in women with MCC.

The Phenomenon and Determinants of Healthcare Service Utilization for Older Adults With Multimorbidity in China: An Explanatory, Mixed-Method Study.

OBJECTIVES: The objective of this study was to explore the phenomenon and determinants of healthcare service utilization in Chinese older adults with multimorbidity. METHODS: We adopted a mixed-methods explanatory design from July 2022 to May 2023. The quantitative research was a social network analysis to explore the phenomenon of healthcare service utilization in target participants. The quantitative results were further interpreted as the participant's propensity for healthcare services and the potential for information sharing between healthcare providers through shared patients. Logistic regression was conducted to identify individual determinants for healthcare service utilization. The quantitative research was followed by qualitative interviews with stakeholders to deeply understand the phenomenon of interest from the individual, healthcare system, and societal perspectives. RESULTS: We recruited 321 participants for the quantitative study. They preferred using medication services from primary healthcare providers, pharmacists at private pharmacies, and hospital specialists, and preferred using other services from hospital specialists. Dense relationships arose from shared patients among healthcare providers across various professions and settings, making it possible to share patient information. Primary healthcare providers were particularly important in the process, as they were closely related to others through patient sharing. Health status was identified through logistic regression and qualitative interviews as an individual determinant for healthcare service utilization. More determinants were explored in qualitative interviews with 30 stakeholders, including trust, resource allocation, healthcare accessibility, medical treatment process, and healthcare awareness. DISCUSSION: Strategies should be proposed to intervene with patients' nonoptimal propensity toward healthcare services and promote information sharing among healthcare providers.

Self-identified culturally related stressors that influence self-care in older adults with multiple chronic conditions: A qualitative study.

AIM: To identify culturally related stressors that influence self-care in Chinese older adults with multiple chronic conditions. BACKGROUND: Effective self-care can improve health outcomes for chronic conditions, but implementing self-care is challenging. Individuals with multiple chronic conditions face even more self-care complexity than those with single chronic conditions, generating additional stressors. Although stressors have been found to negatively influence self-care in multiple chronic conditions, the role of culture in generating stressors has been neglected. DESIGN: This paper reports on the qualitative component of a larger mixed-methods study. Two free-response items in a survey were used to identify culturally related stressors that influence self-care. This report adhered to the SRQR guideline checklist. METHODS: Data were collected between January and April 2022. One hundred and thirty-eight free text responses asking participants to identify stressors that influenced their self-care effectiveness were analysed sequentially using deductive content analysis and thematic analysis. RESULTS: Findings from deductive content analysis largely confirmed published work in Western literature on stressors complicating self-care, including symptom burdens, financial strains, social disconnection, caregiving responsibilities and major life events. Findings from reflexive thematic analysis extended current literature by identifying three culturally relevant stressors: intergenerational obligations and commitments, ambivalence about receiving care and worries about potential problems. CONCLUSION: Chinese older adults with multiple chronic conditions identified a wide range of stressors that impacted their day-to-day self-care. This study provided valuable insights into culturally related stressors in older adults with multiple chronic conditions. Findings deepened our knowledge of cultural influences on the success of self-care in older adults with multiple chronic conditions, suggesting the potential for reaching populations across different cultures and regions. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Stressors that might influence self-care ability are important for nurses to assess in people with multiple chronic conditions. The design of self-care interventions should take a culturally tailored intergenerational family-centred approach to help mitigate the impact of stressors and ultimately improve patient outcomes. IMPACT: What problem did the study address? Stressors documented in older adults with MCCs have all been generated from research with Western populations. China is now home to the largest population of older people in the world. Understanding the influence of culturally relevant stressors on self-care in Chinese older adults with MCCs is lacking. What were the main findings? Findings from deductive content analysis largely confirmed published work in Western literature on stressors that complicated self-care, including symptom burdens, financial strains, social disconnection, caregiving responsibilities and major life events. Findings from reflexive thematic analysis extended current literature by identifying three culturally relevant stressors in older adults with MCCs in China: intergenerational obligations and commitments, ambivalence about receiving care and worries about potential problems. Where and on whom will the research have an impact? The research will have an impact on guiding nurses' assessment of culturally relevant stressors' impact on self-care for older adults with MCCs. In addition, findings could inform research and policy development to aim at mitigating the impact of culturally based stressors on self-care. REPORTING METHOD: This study adhered to the Standards for Reporting Qualitative Research (SRQR) guideline checklist. PATIENT OR PUBLIC CONTRIBUTION: During the member-checking process, the validation of findings for accuracy was carried out by 10 participants, who also found resonance between these findings and their own experiences.

Transitional care model for older adults with multiple chronic conditions: An evaluation of benefits utilising an umbrella review.

AIMS: To synthesise and describe the combined evidence from systematic reviews of interventions using elements from the Transitional Care Model, on the content and timeframe of the interventions and the related improvement of outcomes for older patients with multiple chronic conditions. BACKGROUND: The population of older patients with multiple chronic conditions is increasing worldwide and trajectories are often complicated by risk factors. The Transitional Care Model may contain elements to support transitions between hospital and home. DESIGN: An umbrella review. REVIEW METHODS: A comprehensive search in five electronic databases was performed in April 2021 based on the search terms: 'Patients ≥60 years,' 'multi-morbidity,' 'Transitional care model,' 'Transitional care,' and 'Systematic review.' PRISMA guidelines was used. RESULTS: Five systematic reviews published from 2011 to 2020 comprising 62 intervention studies (59 randomised controlled trials and three quasi-experimental trials) were included in the review. The synthesis predominantly revealed significant improvements in decreasing re-admissions and financial costs and increasing patients' quality of life and satisfaction during discharge. CONCLUSION: The results of the review indicate that multiple elements from the Transitional Care Model have achieved significant improvements in older patients' transitions from hospital to home. Especially a combination of coordination, communication, collaboration and continuity of care in transitions, organised information and education for patients and pre-arranged structured post-discharge follow-ups. IMPACT: The transition from hospital to home is a complex process for older patients with multiple chronic conditions. A specific focus on coordination, continuity, and patient education should be implemented in the discharge process. Nurses with specialised knowledge in transitional care are needed to ensure safe transitions. PATIENT AND PUBLIC CONTRIBUTION: The umbrella review is part of a larger research program which involved a patient expert advisory board, which participated in discussing the relevance of the elements within the umbrella review.