Unraveling the multiple chronic conditions patterns among people with Alzheimer's disease and related dementia: A machine learning approach to incorporate synergistic interactions.

INTRODUCTION: Most people with Alzheimer's disease and related dementia (ADRD) also suffer from two or more chronic conditions, known as multiple chronic conditions (MCC). While many studies have investigated the MCC patterns, few studies have considered the synergistic interactions with other factors (called the syndemic factors) specifically for people with ADRD. METHODS: We included 40,290 visits and identified 18 MCC from the National Alzheimer's Coordinating Center. Then, we utilized a multi-label XGBoost model to predict developing MCC based on existing MCC patterns and individualized syndemic factors. RESULTS: Our model achieved an overall arithmetic mean of 0.710 AUROC (SD = 0.100) in predicting 18 developing MCC. While existing MCC patterns have enough predictive power, syndemic factors related to dementia, social behaviors, mental and physical health can improve model performance further. DISCUSSION: Our study demonstrated that the MCC patterns among people with ADRD can be learned using a machine-learning approach with syndemic framework adjustments. HIGHLIGHTS: Machine learning models can learn the MCC patterns for people with ADRD. The learned MCC patterns should be adjusted and individualized by syndemic factors. The model can predict which disease is developing based on existing MCC patterns. As a result, this model enables early specific MCC identification and prevention.

Prevalence and determinants of multiple chronic conditions (MCC) among young adults in Indian households: an analysis of NFHS-5.

BACKGROUND: Multiple chronic conditions (MCC) are defined as the presence of two or more chronic conditions, that significantly impact health status, functional capacity, quality of life, and overall healthcare management. Despite the significant evidence on chronic disease burden, the co-existence of MCC within a household in low- and middle-income countries (LMICs) is less studied. This study therefore estimates the prevalence of MCC and its determinants among adults in the Indian households. METHODS: Data used in this study were drawn from the fifth round of the National Family Health Survey (NFHS) conducted in 2019-21. Data sets of men (15-54 years) and women (15-49 years) were used for the study. The total sample size of adults for this analysis was N = 239,848. The outcome variable of this study was multiple chronic conditions (MCC) in adults which included a total of nine chronic conditions (hypertension, diabetes, chronic respiratory diseases, chronic kidney disorders, cancer, thyroid disorders, obesity, and heart diseases, consuming alcohol, chewing tobacco, and smoking) documented in NFHS-5. Descriptive statistics and binary logistic regression analysis were used to quantify the results. RESULTS: A prevalence of 5.5% of MCC in adults emerged from our study. Logistic regression analysis identified that younger age, males (AOR 0.36 (0.33-0.39)), urban areas (AOR 1.11 (1.02-1.17)) as the place of residence, and participants representing SC (AOR 0.89 (0.81-0.97)), and ST (AOR 1.30 (1.17-1.45)), had a higher risk of MCC irrespective of level of education, type of occupation, marital status, or wealth index, and states from any category of social progress. CONCLUSION: A 5% prevalence of MCC specifically obesity, substance use, and hypertension calls for integrated efforts aiming at behavior change, and regulatory efforts to prevent further increase of MCC among young adults in India.

Living on low-incomes with multiple long-term health conditions: A new method to explore the complex interaction between finance and health.

People on low-incomes in the UK develop multiple long-term health conditions over 10 years earlier than affluent individuals. Financial diaries -new to public health- are used to explore the lived experiences of financially-vulnerable individuals, diagnosed with at least one long-term condition, living in two inner-city London Boroughs. Findings show that the health status of these individuals is a key barrier to work opportunities, undermining their income. Their precarious and uncertain financial situation, sometimes combined with housing issues, increased stress and anxiety which, in turn, contributed to further deteriorate participants' health. Long-term health conditions limited the strategies to overcome moments of financial crisis and diarists frequently used credit to cope. Restrictions to access reliable services and timely support were connected to the progression of multiple long-term conditions. Models that integrate healthcare, public health, welfare and financial support are needed to slow down the progression from one to many long-term health conditions.

Lost in the System: Responsibilisation and Burden for Women With Multiple Long-Term Health Conditions During Pregnancy.

INTRODUCTION: Over a fifth of pregnant women are living with multiple long-term health conditions, which is associated with increased risks of adverse outcomes for mothers and infants. While there are many examples of research exploring individuals' experiences and care pathways for pregnancy with a single health condition, evidence relating to multiple health conditions is limited. This study aimed to explore experiences and care of women with multiple long-term health conditions around the time of pregnancy. METHODS: Semistructured interviews were conducted between March 2022 and May 2023 with women with multiple long-term health conditions who were at least 28 weeks pregnant or had had a baby in the last 2 years, and healthcare professionals with experience of caring for these women. Participants were recruited from across the United Kingdom. Data were analysed using thematic analysis. RESULTS: Fifty-seven women and 51 healthcare professionals participated. Five themes were identified. Women with long-term health conditions and professionals recognised that it takes a team to avoid inconsistent care and communication, for example, medication management. Often, women were required to take a care navigation role to link up their healthcare providers. Women described mixed experiences regarding care for their multiple identities and the whole person. Postnatally, women and professionals recognised a downgrade in care, particularly for women's long-term health conditions. Some professionals detailed the importance of engaging with women's knowledge, and recognising their own professional boundaries of expertise. Many participants described difficulties in providing informational continuity and subsequent impacts on care. Specifically, the setup of care systems made it difficult for everyone to access necessary information, especially when care involved multiple sites. CONCLUSION: Pregnant women with long-term health conditions can experience a substantial burden of responsibility to maintain communication with their care team, often feeling vulnerable, patronised, and let down by a lack of acknowledgement of their expertise. These results will be used to inform the content of coproduction workshops aimed at developing a list of care recommendations for affected women. It will also inform future interventional studies aimed at improving outcomes for these women and their babies. PATIENT OR PUBLIC CONTRIBUTION: Our Patient and Public Involvement group were involved in the design of the study and the analysis and interpretation of the data, and a public study investigator was part of the author group.

Clustering by health and social care need in multple long-term conditions (MLTC): an exploratory qualitative study to understand the views of professionals and people living with MLTC about future interventions.

BACKGROUND: Around one in four people are living with multiple long-term conditions (MLTC). Integrated care to holistically manage both health and social needs could improve outcomes for people living with MLTC, including lower rates of hospitalisation and mortality. However, given the number of people with MLTC and increasing strain on health and social care, stratified approaches to identifying and addressing social care needs may be more efficient and cost-effective. We have developed data driven clusters that group people with similar health and social care needs, which could identify patients at the highest risk of poor outcomes related to social care need. AIM: To explore views about a future intervention based on these clusters. METHOD: We aim to plan a cluster-based intervention that engages people living with MLTC and health and social care professionals to consider social care needs (SCNs) when consulting in primary care. We have conducted 14 interviews with professionals to explore their priorities and concerns about care delivery by MLTC clusters and 19 remote interviews with people living with MLTC to find out how well they identify with the MLTC clusters we have defined. Data were analysed using reflexive thematic analysis. RESULTS: GPs are the 'starting point' for conversations about SCNs but need an efficient system to enable effective conversations. The cluster-based intervention could fill this gap. CONCLUSION: This research identifies key considerations needed for an intervention to engage people with MLTC and health and social care professionals to consider SCNs in primary care.

Experiences and challenges of people living with multiple long-term conditions in managing their care in primary care settings in Kerala, India: A qualitative study.

BACKGROUND: Multimorbidity or multiple long-term conditions (MLTCs), the coexistence of two or more chronic conditions within an individual, presents a growing concern for healthcare systems and individuals' well-being. However, we know little about the experiences of those living with MLTCs in low- and middle-income countries (LMICs) such as India. We explore how people living with MLTCs describe their illness, their engagements with healthcare services, and challenges they face within primary care settings in Kerala, India. METHODS: We designed a qualitative descriptive study and conducted in-depth, semi-structured interviews with 31 people (16 males and 15 females) from family health centres (FHCs) in Kerala. Interview data were recorded, transcribed, and thematic analysis using the Framework Method was undertaken. FINDINGS: Two main themes and three sub-themes each were identified; (1) Illness impacts on life (a)physical issues (b) psychological difficulties (c) challenges of self-management and (2) Care-coordination maze (a)fragmentation and poor continuity of care (b) medication management; an uphill battle and (c) primary care falling short. All participants reported physical and psychological challenges associated with their MLTCs. Younger participants reported difficulties in their professional lives, while older participants found household activities challenging. Emotional struggles encompassed feelings of hopelessness and fear rooted in concerns about chronic illness and physical limitations. Older participants, adhering to Kerala's familial support norms, often found themselves emotionally distressed by the notion of burdening their children. Challenges in self-management, such as dietary restrictions, medication adherence, and physical activity engagement, were common. The study highlighted difficulties in coordinating care, primarily related to traveling to multiple healthcare facilities, and patients' perceptions of FHCs as fit for diabetes and hypertension management rather than their multiple conditions. Additionally, participants struggled to manage the task of remembering and consistently taking multiple medications, which was compounded by confusion and memory-related issues. CONCLUSION: This study offers an in-depth view of the experiences of individuals living with MLTCs from Kerala, India. It emphasizes the need for tailored and patient-centred approaches that enhance continuity and coordination of care to manage complex MLTCs in India and similar LMICs.

Effectiveness of complex behaviour change interventions tested in randomised controlled trials for people with multiple long-term conditions (M-LTCs): systematic review with meta-analysis.

INTRODUCTION: The prevalence of multiple long-term conditions (M-LTCs) increases as adults age and impacts quality of life and health outcomes. To help people manage these conditions, complex behaviour change interventions are used, often based on research conducted in those with single LTCs. However, the needs of those with M-LTCs can differ due to complex health decision-making and engagement with multiple health and care teams. OBJECTIVES: The aim of this review is to identify whether current interventions are effective for people living with M-LTCs, and which outcomes are most appropriate to detect this change. METHODS: Five databases (MEDLINE, Embase, PsycINFO, CINAHL and Web of Science) were systematically searched, between January 1999 and January 2022, to identify randomised controlled trials evaluating effectiveness of behaviour change interventions in people with M-LTCs. Intervention characteristics, intervention effectiveness and outcome measures were meta-analysed and narratively synthesised. RESULTS: 53 eligible articles were included. Emotional well-being and psychological distress (depression and anxiety) outcomes were most amenable to change (emotional well-being: standardised mean difference (SMD) 0.31 (95% CI 0.04 to 0.58); depression psychological distress: SMD -0.45 (95% CI -0.73 to -0.16); anxiety psychological distress: SMD -0.14 (95% CI -0.28 to 0.00)), particularly for interventions with a collaborative care approach. Interventions targeting those with a physical and mental health condition and those with cognitive and/or behavioural activation approach saw larger reductions in psychological distress outcomes. Interventions that lasted for longer than 6 months significantly improved the widest variety of outcomes. CONCLUSION: Complex interventions can be successfully delivered to those with M-LTCs. These are most effective at reducing psychological distress in those with physical and mental LTCs. Further research is needed to identify the effective components of interventions for people with two or more physical LTCs and which outcome is most appropriate for detecting this change.

Service innovations for people with multiple long-term conditions: reflections of a rapid evaluation team.

Background: People living with multiple long-term conditions represent a significant concern for National Health Service policy and practice, and their care is a major theme in the 2019 National Health Service Long Term Plan. The Birmingham RAND and Cambridge Rapid Evaluation Centre team has undertaken a thematic synthesis of the 10 evaluations it has conducted from 2018 to 2023, exploring the needs, priorities and implications for people with multiple long-term conditions. Objectives: The aims for this overarching study were to: (1) build a body of learning about service innovations in primary and community settings for people of all ages with multiple long-term conditions, focused on questions that matter most to people with multimorbidity; and (2) develop methodological insights about how rapid evaluation can be used to inform the scoping, testing and implementation of service innovations for people with multiple long-term conditions. Design: The focus on multiple long-term conditions came from a Birmingham RAND and Cambridge Rapid Evaluation Centre prioritisation process undertaken in 2018 using James Lind Alliance methods. Cross-analysis of the findings from the 10 individual rapid evaluations was supplemented by (1) building aspects of multimorbidity into the design of later evaluations; (2) interviewing national and regional stakeholders (n=19) working in or alongside integrated care systems; (3) undertaking a rapid review of evidence on remote monitoring for people with multiple long-term conditions (19 papers included); and (4) testing overall insights with organisations representing patients and carers through a patient, public and professional engagement workshop with 10 participants plus members of the research team. Results: While living with multiple long-term conditions is common and is the norm for people over the age of 50 using health and care services, it is not often a focus of health service provision or innovation, nor of research and evaluation activity. We discuss six themes emerging from the totality of the study: (1) our health system is mainly organised around single conditions and not multiple long-term conditions; (2) research calls and studies usually focus on single conditions and associated services; (3) building opportunities for engaged, informed individuals and carers and improved self-management; (4) the importance of measures that matter for patients and carers; (5) barriers to developing and implementing service innovations for people with multiple long-term conditions; and (6) what is needed to make patients with multiple long-term conditions a priority in healthcare planning and delivery. Limitations: Care of people with multiple long-term conditions was not the principal focus of several of the rapid evaluations. While this was a finding in itself, it limited our learning about designing and implementing, as well as methodological approaches to evaluating, service innovations for people with multiple long-term conditions. Conclusions: Through a thematic analysis of the portfolio of evaluations, we have deduced a set of suggested implications for how the needs of people with multiple long-term conditions can be better embedded in policy, research and practice. Future work: Areas of uncertainty related to the care of people with multiple long-term conditions should be further explored, including developing and testing measures of patient experience of (un)co-ordinated care across settings, and interrogating the experience of health and care staff when working with people with multiple long-term conditions, to understand what works. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR134284) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 15. See the NIHR Funding and Awards website for further award information.

Many people in England live with two or more physical and/or mental health conditions that are expected to last for years. Estimates vary, but it is likely that a majority of National Health Service services are serving people living with two or more long-term conditions. We wanted to find out how well the needs of this group are taken into account when new types of health care are introduced, or existing services are reorganised. To do this, we went back to all 10 of the health service innovations that had been studied by our Birmingham RAND and Cambridge Evaluation Centre from 2018 to 2023. We did some extra research, including discussions with patient representatives and interviews with National Health Service policy-makers and managers at national and regional levels. We also looked at what new research had been published about one example of a new healthcare technology that is intended to help people who have several long-term health conditions: monitors that can be used by health service staff to measure patients' symptoms when they are in their own home. Our main finding was that most National Health Service attention is given to organising care for single conditions, often treating them in isolation. Patients' many treatments and needs are not routinely considered all at the same time by healthcare staff, nor by researchers. Care for one condition is too often not co-ordinated with care for other health problems that a patient may have. Although the situation of people living with several long-term health conditions is in principle understood by healthcare staff, managers and researchers, relatively little is done in practice to meet their needs. We conclude by suggesting ways that policy-makers, healthcare staff and researchers could improve how they help people living with multiple long-term conditions.

Managing Multiple Chronic Conditions during COVID-19 Among Patients with Social Health Risks.

BACKGROUND: Optimal care for persons with multiple chronic conditions (MCC) requires primary and specialty care continuity, access to multiple providers, social risk assessment, and self-management support. The COVID-19 pandemic abruptly changed primary care delivery to increase reliance on telehealth and virtual care. We report on the experiences of individuals with MCC and their family caregivers on managing their health and receiving health care during the initial pandemic. METHODS: Semistructured qualitative interviews with 30 patients (19 English speaking, 11 Spanish speaking) plus 9 accompanying care partners, who had 2+ primary care encounters between March 1, 2020, and November 30, 2020, 2+ chronic conditions, and 1 or more self-reported social risks. Questions focused on access to and experiences with care, roles for care partners, and self-management during the first 6 months of the pandemic. RESULTS: Participants experienced substantial changes in care delivery. The most commonly reported changes were a shift to more virtual relative to in-person care and shifting roles for care partners. Changes fostered new perspectives on self-management and an appreciation of personal resilience and self-reliance. Virtual care was an acceptable complement to in-person care, though not a substitute for periodic in-person visits. It was more acceptable for English speakers and with a usual provider. CONCLUSION: New models of care delivery that recognize patient and family resilience and resourcefulness, emphasize provider continuity, and combine virtual and in-person care may support self-management for individuals with MCC and social needs.

Predictors of basic and instrumental activities of daily living among older adults with multiple chronic conditions.

BACKGROUND: Understanding the predictors of functional status can be useful for improving modifiable predictors or identifying at-risk populations. Researchers have examined the predictors of functional status in older adults, but there has not been sufficient study in this field in older adults with multiple chronic conditions, especially in Iran. Consequently, the results of this body of research may not be generalizable to Iran. Therefore, this study was conducted to determine the predictors of functional status in Iranian older adults with multiple chronic conditions. METHODS: In this cross-sectional study, 118 Iranian older adults with multiple chronic conditions were recruited from December 2022 to September 2023. They were invited to respond to questionnaires inquiring about their demographic and health information, basic activities of daily living (BADL) and instrumental activities of daily living (IADL), depression and cognitive status. The predictors included age, gender, marital status, education, number of chronic conditions, and depression. Descriptive and analytical statistical tests (univariate and multiple regression analysis) were used to analyze the data. RESULTS: The majority of participants were married (63.9%) and women (59.3%). Based on the results of the multiple regression analysis, age (B=-0.04, P = 0.04), depression (B=-0.12, P = 0.04), and IADL (B = 0.46, P < 0.001) were significant predictors for functional status in terms of BADL. Also, marital status (B=-0.51, P = 0.05), numbers of chronic conditions (B=-0.61, P = 0.002), and BADL (B = 0.46, P < 0.001) were significant predictors for functional status in terms of IADL. CONCLUSION: The findings support the predictive ability of age, marital status, number of chronic diseases, and depression for the functional status. Older adults with multiple chronic conditions who are older, single, depressed and with more chronic conditions number are more likely to have limitations in functional status. Therefore, nurses and other health care providers can benefit from the results of this study and identify and pay more attention to the high risk older adult population.

Trends in the Prevalence of Multiple Chronic Conditions Among US Adults With Hypertension From 1999-2000 Through 2017-2020.

BACKGROUND: The prevalence of many chronic conditions has increased among US adults. Many adults with hypertension have other chronic conditions. METHODS: We estimated changes in the age-adjusted prevalence of multiple (≥3) chronic conditions, not including hypertension, using data from the National Health and Nutrition Examination Survey, from 1999-2000 to 2017-2020, among US adults with (n = 24,851) and without (n = 24,337 hypertension. Hypertension included systolic blood pressure (BP) ≥130 mm Hg, diastolic BP ≥80 mm Hg, or antihypertensive medication use. We studied 14 chronic conditions: arthritis, asthma, cancer, coronary heart disease, chronic kidney disease, depression, diabetes, dyslipidemia, hepatitis B, hepatitis C, heart failure, lung disease, obesity, and stroke. RESULTS: From 1999-2000 to 2017-2020, the age-adjusted mean number of chronic conditions increased more among US adults with vs. without hypertension (2.2 to 2.8 vs. 1.7 to 2.0; P-interaction <0.001). Also, the age-adjusted prevalence of multiple chronic conditions increased from 39.0% to 52.0% among US adults with hypertension and from 26.0% to 30.0% among US adults without hypertension (P-interaction = 0.022). In 2017-2020, after age, gender, and race/ethnicity adjustment, US adults with hypertension were 1.94 (95% confidence interval: 1.72-2.18) times as likely to have multiple chronic conditions compared to those without hypertension. In 2017-2020, dyslipidemia, obesity, and arthritis were the most common 3 co-occurring chronic conditions among US adults with and without hypertension (age-adjusted prevalence 16.5% and 3.1%, respectively). CONCLUSIONS: In 2017-2020, more than half of US adults with hypertension had ≥3 additional chronic conditions, a substantial increase from 20 years ago.

An expanded chronic care management approach to multiple chronic conditions in Hispanics using community health workers as community extenders in the Rio Grande Valley of Texas.

INTRODUCTION: The synergistic negative effects of type 2 diabetes (T2DM) and hypertension increases all-cause mortality and the medical complexity of management, which disproportionately impact Hispanics who face barriers to healthcare access. The Salud y Vida intervention was delivered to Hispanic adults living along the Texas-Mexico Border with comorbid poorly controlled T2DM and hypertension. The Salud y Vida multicomponent intervention incorporated community health workers (CHWs) into an expanded chronic care management model to deliver home-based follow-up visits and provided community-based diabetes self-management education. METHODS: We conducted multivariable longitudinal analysis to examine the longitudinal intervention effect on reducing systolic and diastolic blood pressure among 3806 participants enrolled between 2013 and 2019. Participants were compared according to their program participation as either higher (≥ 10 combined educational classes and CHW visits) or lower engagement (<10 encounters). Data was collected between 2013 and 2020. RESULTS: Baseline mean systolic and diastolic blood pressure were 138 and 81 mmHg respectively. There were overall improvements in systolic (-6.49; 95% CI = [-7.13, -5.85]; p < 0.001) and diastolic blood pressure (-3.97; 95% CI = [-4.37, -3.56]; p < 0.001). The higher engagement group had greater systolic blood pressure reduction at 3 months (adjusted mean difference = -1.8 mmHg; 95% CI = [-3.2, -0.3]; p = 0.016) and at 15 month follow-up (adjusted mean difference = -2.3 mmHg; 95% CI = [-4.2, -0.39]; p = 0.0225) compared to the lower engagement group. CONCLUSION: This intervention, tested and delivered in a real-world setting, provides an example of how CHW integration into an expanded chronic care model can improve blood pressure outcomes for individuals with co-morbidities.

High-need beneficiary enrollment patterns in Medicare Advantage and traditional Medicare.

OBJECTIVES: High-need Medicare beneficiaries require elevated levels of care and coordination to manage their conditions. We evaluated the extent to which high-need beneficiaries enrolled in Medicare Advantage (MA) or traditional Medicare (TM) accountable care organizations (ACOs) relative to TM non-ACOs. STUDY DESIGN: Using Medicare claims and MA encounter data, we identified 3 groups of high-need beneficiaries: (1) individuals younger than 65 years with a disability or end-stage kidney disease, (2) frail individuals, and (3) older individuals with major complex or multiple noncomplex chronic conditions. For comparison, we included non-high-need beneficiaries in the analysis, including those with minor complex chronic conditions. METHODS: Descriptive analysis of Medicare enrollment patterns and beneficiary characteristics of high-need and other beneficiaries between 2016 and 2019. RESULTS: In 2019, high-need beneficiaries accounted for 18 million or 32% of enrollees in TM and MA, an increase of approximately 1 million since 2016, driven by growth in MA. A larger share of beneficiaries in TM ACOs was high need (38%) compared with MA (24%). Although the total count of high-need beneficiaries in TM remained stable from 2016 to 2019, ACOs saw an increase of almost 1.5 million high-need beneficiaries (39% increase), and TM non-ACOs saw a decrease of 1.9 million (23% decrease). CONCLUSIONS: We found that high-need beneficiaries were more likely to be in TM non-ACOs than in MA through 2019. However, an increasing number of these beneficiaries are enrolling in MA or aligned with a TM ACO. A projected increase in the population of older adults will increase the economic burden of caring for high-need individuals.

The Nudging Effect of a Reminder Letter to Reduce Duplicated Medications: A Randomized Controlled Trial.

BACKGROUND: The increasing trend of multiple chronic conditions across the world has worsened the problem of medication duplication in health care systems without gatekeeping or referral requirement. Thus, to overcome this problem, a reminder letter has been developed in Taiwan to nudge patients to engage in medication management. OBJECTIVE: To evaluate the effect of reminder letter on reducing duplicated medications. RESEARCH DESIGN: A 2-arm randomized controlled trial design. SUBJECTS: Patients with duplicated medications in the first quarter of 2019. MEASURES: The Taiwanese single-payer National Health Insurance Administration identified the eligible patients for this study. A postal reminder letter regarding medication duplication was mailed to the patients in the study group, and no information was provided to the comparison group. Generalized estimation equation models with a difference-in-differences analysis were used to estimate the effects of the reminder letters. RESULTS: Each group included 11,000 patients. Those who had received the reminder letter were less likely to receive duplicated medications in the subsequent 2 quarters (postintervention 1: odds ratio [OR]=0.95, 95% CI=0.87-1.03; postintervention_2: OR=0.99, 95% CI=0.90-1.08) and had fewer days of duplicated medications (postintervention 1: ß=-0.115, P =0.015; postintervention 2 (ß=-0.091, P =0.089) than those who had not received the reminder letter, showing marginal but significant differences. CONCLUSIONS: A one-off reminder letter nudge could mildly decrease the occurrence of duplicated medications. Multiple nudges or nudges incorporating behavioral science insights may be further considered to improve medication safety in health systems without gatekeeping.

Coordinated Care Experiences Among Middle-Aged and Older Adults With Multiple Chronic Conditions: Characteristics, Correlates, and Consequences for Health and Healthcare Utilization.

BACKGROUND AND OBJECTIVES: Although coordinated care (CC) seeks to improve patient experiences and ultimately health outcomes, evidence from empirical research on the impacts of CC is mixed. This study examined the relationship between CC and healthcare outcomes over a 4-year period among older adults with multiple chronic conditions. RESEARCH DESIGN AND METHODS: This observational cohort study is based on data from the 2016-2020 Health and Retirement Study. Analysis is limited to respondents with 2+ chronic conditions who completed an experimental module on CC in 2016 (n = 906). Three domains of CC were assessed: perceptions, informal (family/friends) and formal (healthcare staff) tangible support, and technical support (using a "patient portal"). The longitudinal relationship between CC and health (e.g., pain, functioning, and self-rated health [SRH]) and healthcare (e.g., doctor visits, hospitalization, and care satisfaction) outcomes was investigated using mixed-effects models. RESULTS: Better perceptions of CC were associated with lower odds of ADL limitations (Odds ratio [OR] = 0.91; 95% CI = 0.84-0.99) and greater satisfaction with care (B = 0.04, 95% CI = 0.02-0.06). Receipt of more informal tangible support was associated with 1.34 higher odds of ADL limitations (95% CI = 1.19-1.51) and 1.74 higher odds of hospitalization (95% CI = 1.07-1.21). Use of technical support was associated with better SRH and greater satisfaction with care. DISCUSSION AND IMPLICATIONS: The longitudinal relationship between CC and health is multifaceted. Although positive perceptions and more technical support have beneficial effects on health outcomes, higher utilization of tangible support may reflect a higher demand among older adults with more complex healthcare needs.

Health-related risk behaviors among U.S. childhood cancer survivors: a nationwide estimate.

BACKGROUND: Childhood cancer survivors (CCS) are subject to a substantial burden of treatment-related morbidity. Engaging in health protective behaviors and eliminating risk behaviors are critical to preventing chronic diseases and premature deaths. This study is aimed to provide updated information on currently smoking, physical inactivity, binge drinking patterns and associated factors among CCS using a nationwide dataset. METHODS: We constructed a sample of CCS (cancer diagnosis at ages < 21y) and healthy controls (matched on age, sex, residency, race/ethnicity) using 2020 Behavioral Risk Factor Surveillance System. We used Chi-square tests and Wilcoxon rank-sum test to examine differences in sociodemographics and clinical characteristics between two groups. Logistic, ordinal regression and multivariable models (conditional models for matching) were used to determine factors associated with risk behaviors. RESULTS: The final sample (18-80y) included 372 CCS and 1107 controls. Compared to controls, CCS had a similar proportion of binge drinking (~ 18%) but higher prevalence of currently smoking (26.6% vs. 14.4%, p < 0.001), physical inactivity (23.7% vs. 17.7%, p = 0.012), and of having 2-or-3 risk behaviors (17.2% vs. 8.1%, p < 0.001). Younger age, lower educational attainment, and having multiple chronic health conditions were associated with engaging in more risk behaviors among CCS. Females, compared to male counterparts, had lower odds of binge drinking (adjusted odds ratio (aOR) = 0.30, 95% confidence interval (CI): 0.16-0.57) among CCS but not in all sample. Having multiple chronic health conditions increased odds of both currently smoking (aOR = 3.52 95%CI: 1.76-7.02) and binge drinking (aOR = 2.13 95%CI: 1.11-4.08) among CCS while it only increased odds of currently smoking in all sample. DISCUSSION: Our study provided risk behavior information for wide age-range CCS, which is currently lacking. Every one in four CCS was currently smoking. Interventions targeting risk behavior reduction should focus on CCS with multiple chronic health conditions.

Effect of Discharge Readiness on 30-Day Readmissions Among Older Adults Living With Multiple Chronic Conditions.

BACKGROUND: Despite decreases in readmissions among Medicare beneficiaries after the implementation of the Hospital Readmissions Reduction Program, older adults living with multiple chronic conditions (MCCs) continue to experience higher readmission rates. Few strategies leverage nursing to identify patients at risk for readmission. OBJECTIVES: Examine the effect of nurse assessments of discharge readiness on 30-day readmissions. RESEARCH DESIGN: Cross-sectional study linking 3 secondary data sources (ie, nurse survey, hospital survey, and Medicare claims data) representing 424 hospitals. SUBJECTS: A total of 188,806 Medicare surgical patients with MCCs. MEASURES: Discharge readiness was derived from the 2016 RN4CAST-US survey. Medicare claims data was used to determine the MCC count. The outcome was 30-day readmissions across the MCC count. RESULTS: The average discharge readiness score was 0.45 (range=0-0.86) indicating that, in the average hospital, <50% of nurses were confident their patient or caregiver could manage their care after discharge. Nearly 8% of patients were readmitted within 30 days of discharge; the highest rates of readmissions were among individuals with ≥5 MCCs (4293, 13.50%). For each 10% increase in the proportion of nurses in a hospital who were confident in their patients' discharge readiness, the odds of 30-day readmission decreased by 2% (95% CI: 0.96-1.00; P =0.028) for patients with 2-4 MCCs and 3% (95% CI: 0.94-0.99; P =0.015) for patients with ≥5 MCCs, relative to patients with 0-1 MCCs. CONCLUSIONS: Nurse assessments of discharge readiness may be a useful signal for hospitals to reduce readmissions and examine factors interfering with discharge processes.

Longitudinal Associations Between Multimorbidities and Patient-Reported Quality of Life.

OBJECTIVES: The global prevalence of multimorbidity is increasing as the population ages. As individuals get older, they are likely to develop multiple chronic conditions, and nearly two-thirds of older adults in the United States are estimated to experience 2 or more chronic conditions. The present preregistered study examined whether multimorbidity was associated with longitudinal changes in health-related quality of life (i.e., anxiety, depression, and physical function) and whether these associations were moderated by sociodemographic factors (i.e., sex, race, marital status, income, insurance, and education). METHODS: Data come from the Health Literacy and Cognitive Function Among Older Adults Longitudinal Study (LitCog), a prospective cohort study of English-speaking older adults (N = 900). At each measurement occasion, participants reported anxiety, depression, and physical function using the Patient Reported Outcomes Information System, chronic conditions, and sociodemographic characteristics. We employed multilevel growth models to estimate changes in health-related quality of life, with multimorbidities as a predictor and sociodemographics as covariates. RESULTS: Results indicated that individuals with multiple chronic conditions reported persistently high levels of anxiety and depression, and worse physical function. We found evidence for racial health disparities, such that individuals who identified as non-White experienced worse health-related quality of life as multimorbidities increased, relative to White participants. DISCUSSION: These results contribute to the current conversation about the long-term impacts of structural and systemic barriers experienced by minoritized groups. We further discuss the public health implications of multimorbidity in older adulthood.

Cohort profile: The ENTWINE iCohort study, a multinational longitudinal web-based study of informal care.

Informal care is a key pillar of long-term care provision across Europe and will likely play an even greater role in the future. Thus, research that enhances our understanding of caregiving experiences becomes increasingly relevant. The ENTWINE iCohort Study examines the personal, psychological, social, economic, and geographic factors that shape caregiving experiences. Here, we present the baseline cohort of the study and describe its design, recruitment methods, data collection procedures, measures, and early baseline findings. The study was conducted in nine countries: Germany, Greece, Ireland, Israel, Italy, the Netherlands, Poland, Sweden, and the United Kingdom. The study comprised a web-based longitudinal survey (baseline + 6-month follow-up) and optional weekly diary assessments conducted separately with caregivers and care recipients. From 14 August 2020 to 31 August 2021, 1872 caregivers and 402 care recipients were enrolled at baseline. Participants were recruited via Facebook and, to a lesser extent, via the study website or caregiver/patient organisations. Caregiver participants were predominantly female (87%) and primary caregivers (82%), with a median age of 55 years. A large proportion (80%) held at least post-secondary education, and two-thirds were married/partnered. Over half of the caregivers were employed (53%) and caring for a person with multiple chronic conditions (56%), and nearly three-quarters were caring for either a parent (42%) or a spouse/partner (32%). About three-quarters of care recipient participants were female (77%), not employed (74%), and had at least post-secondary education (77%), with a median age of 55 years. Over half of the care recipients were married/partnered (59%), receiving care primarily from their spouses/partners (61%), and diagnosed with multiple chronic conditions (57%). This study examining numerous potential influences on caregiving experiences provides an opportunity to better understand the multidimensional nature of these experiences. Such data could have implications for developing caregiving services and policies, and for future informal care research.