Burden of Common Multiple-Morbidity Constellations on Out-of-Pocket Medical Expenditures Among Older Adults

Does Participating in New Rural Cooperative Medical Insurance Change Catastrophic Health Expenditure? Evidence from the China Household Income Project

A primary goal of the New Rural Cooperative Medical Insurance (NRCMI) is to provide financial protection against health care costs and alleviate the financial burdens of rural residents in China. This article examines whether NRCMI participation impacted the incidence of catastrophic health expenditure (CHE) among middle-aged and older adults (45 years old and above). The analysis utilized data from the 2007 China Household Income Project survey in rural areas and an instrumental variable estimation method in Anhui and Sichuan provinces, which exhibited heterogeneity in the NRCMI implementation schedule. The results show that NRCMI participation was not associated with changes in the CHE incidence among families. The finding is consistent with the prior literature using quasi-experimental study designs. This study provides empirical evidence for policymakers, highlighting that the impact of NRCMI participation on financial protections is limited despite its extensive population coverage. The limited effects are probably due to the low reimbursement rate and increased utilization of expensive health care services.

Healthcare Cost Burden and Self-Reported Frequency of Depressive/Anxious Feelings in Older Adults

Using the 2018-2021 National Health Interview Survey data, we examined the associations between healthcare cost burden and depressive/anxious feelings in older adults. Nearly12% reported healthcare cost burden and 18% daily/weekly depressive/anxious feelings. Healthcare cost burden was higher among women, racial/ethnic minorities, those with chronic illnesses, mobility impairment, and those with Medicare Part D, but lower among individuals with Medicare-Medicaid dual eligibility, Medicare Advantage, VA/military insurance, and private insurance. Daily/weekly depressive/anxious feelings was higher among healthcare cost burden reporters. The COVID-19 pandemic-related medical care access problems were also associated with a higher risk of reporting healthcare cost burden and depression/anxiety.

Analysis of inpatient cost burden and influencing factors of seniors' patients with mental illness in Dalian, China

BACKGROUND

As China's aging population continues to grow, the prevalence of mental illness among the seniors has been steadily increasing. The aim of this study is to reveal the changing trends and characteristics of economic burden among seniors patients with long-term hospitalization for mental illness, and to analyze the influencing factors.

METHODS

The data for this study were gathered from seniors' patients with mental illness who were hospitalized and aged 60 years or older. The patients were admitted to four specialized and general hospitals located in Dalian city between January 2018 and December 2020. The types of diseases include affective mental disorders (mood disorders), Schizophrenia, schizotypal, and delusional disorders, Organic (including symptomatic) mental disorders, Neurotic, stress-related and somatoform disorders, Mental retardation, Mental and behavioral disorders due to substance use. (Identify the main diagnosis at discharge using ICD-10 coding). This study analyzed the basic characteristics and disease-related information of seniors patients with long-term psychiatric disorders who were hospitalized, and explored the factors influencing hospitalization costs among patients with different illnesses.

RESULTS

Among the 3871 study subjects, the average length of hospital stay was 127.51 days. The average hospitalization expenses per case were 33,656.07 yuan. Seniors' patients with mental illness who receives treatment in specialized hospitals have higher hospitalization costs. Long-term hospitalization increases the total hospitalization costs. Age has an impact on hospitalization costs for patients with organic mental disorders. Patients with affective disorders (mood disorders) and neurotic, stress-related, and somatoform disorders who are covered by urban employee medical insurance have higher hospitalization costs.Patients with severe psychiatric disorders who have a 31-day readmission plan, as well as senior patients with somatoform disorders comorbid with other illnesses, incur higher hospitalization costs.

CONCLUSIONS

We should take corresponding measures to reduce the number of readmissions for patients with severe mental illnesses. The impact of treatment methods and differences in healthcare institutions on total hospitalization costs deserves further research. It is necessary to strengthen the prevention and diagnosis of comorbid physical illnesses in patients with mental disorders. The burden of mental illnesses in the seniors is significant, and medical insurance policies should be inclined towards providing support.

Racial differences in healthcare expenditures for prevalent multimorbidity combinations in the USA: a cross-sectional study

BACKGROUND

We aimed to model total charges for the most prevalent multimorbidity combinations in the USA and assess model accuracy across Asian/Pacific Islander, African American, Biracial, Caucasian, Hispanic, and Native American populations.

METHODS

We used Cerner HealthFacts data from 2016 to 2017 to model the cost of previously identified prevalent multimorbidity combinations among 38 major diagnostic categories for cohorts stratified by age (45-64 and 65 +). Examples of prevalent multimorbidity combinations include lipedema with hypertension or hypertension with diabetes. We applied generalized linear models (GLM) with gamma distribution and log link function to total charges for all cohorts and assessed model accuracy using residual analysis. In addition to 38 major diagnostic categories, our adjusted model incorporated demographic, BMI, hospital, and census division information.

RESULTS

The mean ages were 55 (45-64 cohort, N = 333,094) and 75 (65 + cohort, N = 327,260), respectively. We found actual total charges to be highest for African Americans (means $78,544 [45-64], $176,274 [65 +]) and lowest for Hispanics (means $29,597 [45-64], $66,911 [65 +]). African American race was strongly predictive of higher costs (p < 0.05 [45-64]; p < 0.05 [65 +]). Each total charge model had a good fit. With African American as the index race, only Asian/Pacific Islander and Biracial were non-significant in the 45-64 cohort and Biracial in the 65 + cohort. Mean residuals were lowest for Hispanics in both cohorts, highest in African Americans for the 45-64 cohort, and highest in Caucasians for the 65 + cohort. Model accuracy varied substantially by race when multimorbidity grouping was considered. For example, costs were markedly overestimated for 65 + Caucasians with multimorbidity combinations that included heart disease (e.g., hypertension + heart disease and lipidemia + hypertension + heart disease). Additionally, model residuals varied by age/obesity status. For instance, model estimates for Hispanic patients were highly underestimated for most multimorbidity combinations in the 65 + with obesity cohort compared with other age/obesity status groupings.

CONCLUSIONS

Our finding demonstrates the need for more robust models to ensure the healthcare system can better serve all populations. Future cost modeling efforts will likely benefit from factoring in multimorbidity type stratified by race/ethnicity and age/obesity status.

Veterans Health Administration Healthcare Coverage and Medical Financial Hardship in Low-Income Veterans

INTRODUCTION

The Veterans Health Administration (VA) provides low- to no-cost care to enrolled veterans with low incomes. This study assessed the associations between VA coverage and medical financial hardship among U.S. veterans with low incomes.

METHODS

Using 2015-2018 National Health Interview Survey data, veterans aged ≥18 years with incomes <200% of the Federal Poverty Level were identified (crude n=2,468, weighted n=3,872,252). Four types of medical financial hardship were assessed: objective, and subjective material, psychologic, and behavioral medical financial hardship. Survey-weighted proportions of veterans with medical financial hardship were calculated, and adjusted probabilities of medical financial hardship that accounted for Veteran characteristics, year-fixed effects, and survey sampling design were estimated. Analyses were conducted from August through December 2022.

RESULTS

Overall, 34.5% of veterans with low incomes had VA coverage. Among veterans without VA coverage, 38.7% had Medicare insurance, 18.2% had Medicaid insurance, 16.5% had private insurance, 13.5% had other public insurance, and 13.1% were uninsured. In adjusted analyses, veterans with VA coverage had lower probabilities of objective (-8.13 percentage point, p=0.008), subjective material (-6.55 percentage point, p=0.034), subjective psychologic (-10.33 percentage point, p=0.003), and subjective behavioral (-6.72 percentage point, p=0.031) medical financial hardship than veterans with Medicare and no VA coverage.

CONCLUSIONS

VA coverage was associated with protection against four types of medical financial hardship among veterans with low incomes, yet many are not enrolled. Research is needed to understand reasons these veterans lack VA coverage and to identify strategies to address medical financial hardship.

Exploring food insecurity and multimorbidity in Indian socially disadvantaged people: cross-sectional findings from LASI, 2017-18

OBJECTIVES

The present study aimed to examine the association of multimorbidity status with food insecurity among disadvantaged groups such as Scheduled Castes (SCs), Scheduled Tribes (STs), and Other Backward Class (OBCs) in India.

METHOD

The data for this study was derived from the first wave of the Longitudinal Ageing Study in India (LASI),2017-18, focusing on 46,953 individuals aged 45 years and over who belong to SCs, STs, and OBCs groups. Food insecurity was measured based on the set of five questions developed by the Food and Nutrition Technical Assistance Program (FANTA). Bivariate analysis was performed to examine the prevalence of food insecurity by multimorbidity status along with socio-demographic and health-related factors. Multivariable logistic regression analysis and interaction models were used.

RESULTS

The overall prevalence of multimorbidity was about 16% of the study sample. The prevalence of food insecurity was higher among people with multimorbidity compared to those without multimorbidity. Unadjusted and adjusted models suggested that people with multimorbidity were more likely to be food insecure than people without multimorbidity. While middle-aged adults with multimorbidity and men with multimorbidity had a higher risk of food insecurity.

CONCLUSION

The findings of this study suggest an association between multimorbidity and food insecurity among socially disadvantaged people in India. Middle-aged adults experiencing food insecurity tend to reduce the quality of their diet and consume a few low-cost, nutritionally deficient meals to maintain caloric intake, putting them again at risk for several negative health outcomes. Therefore, strengthening disease management could reduce food insecurity in those facing multimorbidity.

The role of financial security in loneliness or sadness among Medicare-enrolled cancer survivors during the COVID-19 pandemic

INTRODUCTION

This study aims to estimate the relative decreased rate of financial security and increased rate of loneliness or sadness during the COVID-19 pandemic and investigate the association between financial security and loneliness or sadness among Medicare beneficiaries with a cancer history.

MATERIAL AND METHODS

We examined population-based, cross-sectional data from the Medicare Current Beneficiary Survey COVID-19 Winter 2021 survey. The study cohort included 1,632 Medicare beneficiaries (aged ≥65 years) with self-reported cancer history. The outcome was feelings of loneliness or sadness, and the independent variable was financial security during the 2020-2021 winter surge of COVID-19. We conducted weighted descriptive statistics, a cross-tabulation analysis, and multivariable logistic regression analyses.

RESULTS

Overall, 18.8% of cancer survivors reported increased feelings of loneliness or sadness and 11.2% reported decreased financial security during the 2020-2021 winter surge of COVID-19. Cancer survivors who reported decreased financial security had 93% higher odds of increased feelings of loneliness or sadness compared to those who reported feeling more or about the same financial security (Adjusted odds ratio [AOR] = 1.93; 95% Confidence Interval [CI] 1.25-3.01; p <0.004).

DISCUSSION

Decreased financial security and increased feelings of loneliness or sadness were prevalent among cancer survivors. Additional screenings and interventions beyond what are currently available are needed to ease the socioeconomic vulnerabilities experienced by cancer survivors.

Estimating health spending associated with chronic multimorbidity in 2018: An observational study among adults in the United States

BACKGROUND

The rise in health spending in the United States and the prevalence of multimorbidity-having more than one chronic condition-are interlinked but not well understood. Multimorbidity is believed to have an impact on an individual's health spending, but how having one specific additional condition impacts spending is not well established. Moreover, most studies estimating spending for single diseases rarely adjust for multimorbidity. Having more accurate estimates of spending associated with each disease and different combinations could aid policymakers in designing prevention policies to more effectively reduce national health spending. This study explores the relationship between multimorbidity and spending from two distinct perspectives: (1) quantifying spending on different disease combinations; and (2) assessing how spending on a single diseases changes when we consider the contribution of multimorbidity (i.e., additional/reduced spending that could be attributed in the presence of other chronic conditions).

METHODS AND FINDINGS

We used data on private claims from Truven Health MarketScan Research Database, with 16,288,894 unique enrollees ages 18 to 64 from the US, and their annual inpatient and outpatient diagnoses and spending from 2018. We selected conditions that have an average duration of greater than one year among all Global Burden of Disease causes. We used penalized linear regression with stochastic gradient descent approach to assess relationship between spending and multimorbidity, including all possible disease combinations with two or three different conditions (dyads and triads) and for each condition after multimorbidity adjustment. We decomposed the change in multimorbidity-adjusted spending by the type of combination (single, dyads, and triads) and multimorbidity disease category. We defined 63 chronic conditions and observed that 56.2% of the study population had at least two chronic conditions. Approximately 60.1% of disease combinations had super-additive spending (e.g., spending for the combination was significantly greater than the sum of the individual diseases), 15.7% had additive spending, and 23.6% had sub-additive spending (e.g., spending for the combination was significantly less than the sum of the individual diseases). Relatively frequent disease combinations (higher observed prevalence) with high estimated spending were combinations that included endocrine, metabolic, blood, and immune disorders (EMBI disorders), chronic kidney disease, anemias, and blood cancers. When looking at multimorbidity-adjusted spending for single diseases, the following had the highest spending per treated patient and were among those with high observed prevalence: chronic kidney disease ($14,376 [12,291,16,670]), cirrhosis ($6,465 [6,090,6,930]), ischemic heart disease (IHD)-related heart conditions ($6,029 [5,529,6,529]), and inflammatory bowel disease ($4,697 [4,594,4,813]). Relative to unadjusted single-disease spending estimates, 50 conditions had higher spending after adjusting for multimorbidity, 7 had less than 5% difference, and 6 had lower spending after adjustment.

CONCLUSIONS

We consistently found chronic kidney disease and IHD to be associated with high spending per treated case, high observed prevalence, and contributing the most to spending when in combination with other chronic conditions. In the midst of a surging health spending globally, and especially in the US, pinpointing high-prevalence, high-spending conditions and disease combinations, as especially conditions that are associated with larger super-additive spending, could help policymakers, insurers, and providers prioritize and design interventions to improve treatment effectiveness and reduce spending.

Multimorbidity, healthcare utilization, and quality of life for older patients undergoing surgery: A prospective study

Multimorbidity (≥2 chronic illnesses) is a worldwide healthcare challenge. Patients with multimorbidity have a reduced quality of life and higher mortality than healthy patients and use healthcare resources more intensively. This study investigated the prevalence of multimorbidity; examined the effects of multimorbidity on healthcare utilization; healthcare costs of multimorbidity; and compared the associations between the health-related quality of life (HRQoL) of older patients undergoing surgery and multimorbidity, the Charlson Comorbidity Index (CCI), the Simple Frailty Questionnaire (FRAIL), and the American Society of Anesthesiologists (ASA) physical status classifications. This prospective cohort study enrolled 360 patients aged > 65 years scheduled for surgery at a university hospital. Data were collected on their demographics, preoperative medical profiles, healthcare costs, and healthcare utilization (the quantification or description of the use of services, such as the number of preoperative visits, multiple-department consultations, surgery waiting time, and hospital length of stay). Preoperative-assessment data were collected via the CCI, FRAIL questionnaire, and ASA classification. HRQoL was derived using the EQ-5D-5L questionnaire. The 360 patients had a mean age of 73.9 ± 6.6 years, and 37.8% were men. Multimorbidity was found in 285 (79%) patients. The presence of multimorbidity had a significant effect on healthcare utilization (≥2 preoperative visits and consultations with ≥2 departments). However, there was no significant difference in healthcare costs between patients with and without multimorbidity. At the 3-month postoperative, patients without multimorbidity had significantly higher scores for HRQoL compared to those with multimorbidity (HRQoL = 1.00 vs 0.96; P < .007). While, patients with ASA Class > 2 had a significantly lower median HRQoL than patients with ASA Class ≤2 at postoperative day 5 (HRQoL = 0.76; P = .018), 1-month (HRQoL = 0.90; P = .001), and 3-months (HRQoL = 0.96; P < .001) postoperatively. Multimorbidity was associated with a significant increase in the healthcare utilization of the number of preoperative visits and a greater need for multiple-department consultations. In addition, multimorbidity resulted in a reduced HRQoL during hospital admission and 3-months postoperatively. In particular, the ASA classification > 2 apparently reduced postoperative HRQoL at day 5, 1-month, and 3-months lower than the ASA classification ≤2.

Relationship between the Prevalence of Metabolic Disease and Impaired Mobility, Diet, Physical Activity, and Socio-Demographic Characteristics in the Polish Elderly-A Cross-Sectional Study

Maintaining good health for as long as possible presents a great challenge for the elderly. As the elderly population is growing, there is an ongoing need to identify health risk factors affecting older individuals. The study aimed to explore relationships between sociodemographic characteristics, diet, physical activity, and prevalence of metabolic diseases and impaired mobility in the Polish elderly. A cross-sectional study was carried out on 417 elderlies in May-July 2021. Cluster analysis was applied to separate four homogeneous clusters based on the prevalence of metabolic disease and impaired mobility. Logistic regression analysis was used to verify associations between variables. Being overweight or having obesity, as well as following a diet, increased the probability of being affected by metabolic disease. Being well educated, having a better financial situation, positive perception of own health, and having at least moderate physical activity decreased the probability of suffering from mobility impairments. Eating behaviors were not found to be predictors of the disease. However, they differentiated the selected clusters. The results confirmed the heterogeneity of factors that may impact healthy aging. Thus, they should be taken into account by public health authorities to develop health promotion actions adjusted to the needs of specific subgroups.

Psychological distress, multimorbidity and health services among older adults in rural South Australia

OBJECTIVE

Psychological distress may relate to higher health services use. However, data on psychological distress and health services use among rural older adults are limited. This study investigates psychological distress in older adults (aged ≥60) and evaluates the relationship between psychological distress, multimorbidity and health services utilization.

DESIGN

A cross-sectional design was adopted using data on older adults (≥60) (n = 5920) from the South Australia's 2013-2017 population health survey. The Modified Monash Model MM2-7 was used to designate rural areas. The dataset provides information on reported physical health conditions, psychological distress, and patterns of health services use. The Kessler Psychological Distress Scale (K10) was used to compute scores for reported mental health disorders in this population.

RESULTS

The mean (SD) age of the study participants was 72.1 (8.1) years. Women constituted 58.8% of the sample. The mean (SD) score for psychological distress was 12.5 (3.6). One-fourth (33.7%) report one-chronic condition, 20.4% reported 2 chronic conditions and 13% had more than 3 chronic conditions. High psychological distress was associated with female gender (χ² = 14.4, p < 0.001), <80 years (χ² = 11.7, p = 0.019), lower education (χ² = 10.9, p = 0.027). Similarly, multimorbidity was associated with female gender (χ² = 51.1, p < 001), increasing age (χ² = 173.6, p < 0.001) and lower education (χ² = 28.8 p < 0.001). Psychological distress and multimorbidity were independently associated with health service use. High psychological distress was associated with general practitioner (GP) visit (odds ratio 3.6 (95% CI 2.6-5.1), p < 0.001), emergency department (ED) visit (odds ratio 2.5 (95% CI 1.2-5.0), p < 0.001) and hospital admission (odds ratio 2.3 (95% CI 1.3-4.3), p < 0.001). Multimorbidity was associated with general practitioner (GP) visit (odds ratio 6.8 (95% CI 5.6-8.3), p < 0.001), emergency department (ED) visit (odds ratio 2.5 (95% CI 1.4-4.3), p < 0.001) and hospital admission (odds ratio 3.1 (95% CI 1.9-5.1), p < 0.001). Model included age, gender, education, number of chronic condition and psychological distress.

CONCLUSION/IMPLICATION

Psychological distress and multimorbidity were independently associated with health services use. Thus, psychological distress, particularly in the presence of multimorbidity, presents an opportunity for intervention by clinicians that may reduce the demand on rural health services.

Multimorbidity and mortality: A data science perspective

Background

With multimorbidity becoming the norm rather than the exception, the management of multiple chronic diseases is a major challenge facing healthcare systems worldwide.

Methods

Using a large, nationally representative database of electronic medical records from the United Kingdom spanning the years 2005–2016 and consisting over 4.5 million patients, we apply statistical methods and network analysis to identify comorbid pairs and triads of diseases and identify clusters of chronic conditions across different demographic groups. Unlike many previous studies, which generally adopt cross-sectional designs based on single snapshots of closed cohorts, we adopt a longitudinal approach to examine temporal changes in the patterns of multimorbidity. In addition, we perform survival analysis to examine the impact of multimorbidity on mortality.

Results

The proportion of the population with multimorbidity has increased by approximately 2.5 percentage points over the last decade, with more than 17% having at least two chronic morbidities. We find that the prevalence and the severity of multimorbidity, as quantified by the number of co-occurring chronic conditions, increase progressively with age. Stratifying by socioeconomic status, we find that people living in more deprived areas are more likely to be multimorbid compared to those living in more affluent areas at all ages. The same trend holds consistently for all years in our data. In general, hypertension, diabetes, and respiratory-related diseases demonstrate high in-degree centrality and eigencentrality, while cardiac disorders show high out-degree centrality.

Conclusions

We use data-driven methods to characterize multimorbidity patterns in different demographic groups and their evolution over the past decade. In addition to a number of strongly associated comorbid pairs (e.g., cardiac-vascular and cardiac-metabolic disorders), we identify three principal clusters: a respiratory cluster, a cardiovascular cluster, and a mixed cardiovascular-renal-metabolic cluster. These are supported by established pathophysiological mechanisms and shared risk factors, and largely confirm and expand on the results of existing studies in the medical literature. Our findings contribute to a more quantitative understanding of the epidemiology of multimorbidity, an important pre-requisite for developing more effective medical care and policy for multimorbid patients.

Out-of-pocket expenses related to aging in place for frail older people: a scoping review

Objective:

The objective of this scoping review was to map and describe the available evidence reporting out-of-pocket expenses related to aging in place for older people with frailty and their caregivers.

Introduction:

As the global population ages, there has been increasing attention on supporting older people to live at home in the community as they experience health and functional changes. Older people with frailty often require a variety of supports and services to live in the community, yet the out-of-pockets costs associated with these resources are often not accounted for in health and social care literature.

Inclusion criteria:

Sources that reported on the financial expenses incurred by older people (60 years or older) with frailty living in the community, or on the expenses incurred by their family and friend caregivers, were eligible for inclusion in the review.

Methods:

We searched for published and unpublished (ie, policy papers, theses, and dissertations) studies written in English or French between 2001 and 2019. The following databases were searched: CINAHL, MEDLINE, Scopus, Embase, PsycINFO, Sociological Abstracts, and Public Affairs Index. We also searched for gray literature in a selection of websites and digital repositories. JBI scoping review methodology was used, and we consulted with a patient and family advisory group to support the relevance of the review.

Results:

A total of 42 sources were included in the review, including two policy papers and 40 research papers. The majority of the papers were from the United States (n = 18), with others from Canada (n = 6), the United Kingdom (n = 3), Japan (n = 2), and one each from Australia, Brazil, China, Denmark, Israel, Italy, The Netherlands, Poland, Portugal, Singapore, South Korea, Taiwan, and Turkey. The included research studies used various research designs, including cross-sectional (n = 18), qualitative (n = 15), randomized controlled trials (n = 2), longitudinal (n = 2), cost effectiveness (n = 1), quasi-experimental (n = 1), and mixed methods (n = 1). The included sources used the term “frailty” inconsistently and used various methods to demonstrate frailty. Categories of out-of-pocket expenses found in the literature included home care, medication, cleaning and laundry, food, transportation, medical equipment, respite, assistive devices, home modifications, and insurance. Five sources reported on out-of-pocket expenses associated with people who were frail and had dementia, and seven reported on the out-of-pocket expenses for caregivers of people with frailty. While seven articles reported on specific programs, there was very little consistency in how out-of-pocket expenses were used as outcome measures. Several studies used measures of combined out-of-pocket expenses, but there was no standard approach to reporting aggregate out-of-pocket expenses.

Conclusions:

Contextual factors are important to the experiences of out-of-pocket spending for older people with frailty. There is a need to develop a standardized approach to measuring out-of-pocket expenses in order to support further synthesis of the literature. We suggest a measure of out-of-pocket spending as a percentage of family income. The review supports education for health care providers to assess the out-of-pocket spending of community-dwelling older people with frailty and their caregivers. Health care providers should also be aware of the local policies and resources that are available to help older people with frailty address their out-of-pocket spending.

Theories of self-care and self-management of long-term conditions by community-dwelling older adults: A systematic review and meta-ethnography

RATIONALE

The proportion of older adults living with long-term conditions (LTCs) is increasing. Self-care and self-management approaches are seen as valuable in helping older people with LTCs to manage their health and care, yet the theoretical overlaps and divergences are not always clear.

OBJECTIVES

The objectives of this review were to: (1) systematically identify and appraise studies of self-care or self-management of LTCs by community-dwelling older adults (aged ≥60 years) either informed by, applying, creating, or testing theory; (2) explore similarities or points of convergence between the identified theories; and (3) use a meta-ethnographic approach to synthesise the theories and group related concepts into core constructs.

METHODS

We conducted a systematic theory synthesis, searching six electronic databases. Three reviewers independently screened titles and abstracts followed by full texts and two reviewers appraised study quality. Theoretical data were synthesised within and across individual theories using meta-ethnographic line-of-argument synthesis.

RESULTS

A total of 141 articles (138 studies) and 76 theories were included in the review. Seven core constructs were developed: (1) temporal and spatial context; (2) stressors; (3) personal resources; (4) informal social resources; (5) formal social resources; (6) behavioural adaptations; and (7) quality of life outcomes. A line of argument was developed that conceptualised older adults' self-care and self-management as a dynamic process of behavioural adaptation, enabled by personal resources and informal and formal social resources, aimed at alleviating the impacts of stressors and maintaining quality of life.

CONCLUSION

This synthesis provides an overview of theories used in research on older adults' LTC self-care and self-management. Our synthesis describes the complex interplay of intrinsic and extrinsic factors influencing self-care and self-management behaviours and provides considerations for future research, intervention design, and implementation. The utility of the constructs in research and practice requires further attention and empirical validation.

Medical costs and out-of-pocket expenditures associated with multimorbidity in China: quantile regression analysis

Objective

Multimorbidity is a growing challenge in low-income and middle-income countries. This study investigates the effects of multimorbidity on annual medical costs and the out-of-pocket expenditures (OOPEs) along the cost distribution.

Methods

Data from the nationally representative China Health and Retirement Longitudinal Study (CHARLS 2015), including 10 592 participants aged ≥45 years and 15 physical and mental chronic diseases, were used for this nationally representative cross-sectional study. Quantile multivariable regressions were employed to understand variations in the association of chronic disease multimorbidity with medical cost and OOPE.

Results

Overall, 69.5% of middle-aged and elderly Chinese had multimorbidity in 2015. Increased number of chronic diseases was significantly associated with greater health expenditures across every cost quantile groups. The effect of chronic diseases on total medical cost was found to be larger among the upper tail than those in the lower tail of the cost distributions (coefficients 12, 95% CI 6 to 17 for 10th percentile; coefficients 296, 95% CI 71 to 522 for 90th percentile). Annual OOPE also increased with chronic diseases from the 10th percentile to the 90th percentile. Multimorbidity had larger effects on OOPE and was more pronounced at the upper tail of the health expenditure distribution (regression coefficients of 8 and 84 at the 10th percentile and 75th percentile, respectively).

Conclusion

Multimorbidity is associated with escalating healthcare costs in China. Further research is required to understand the impact of multimorbidity across different population groups.

Prevalence of suicide ideation, planning and attempts among Supplemental Nutrition Assistance Program participants in the United States

BACKGROUND

Suicide represents a substantial public health problem in the U.S. Programs like the Supplemental Nutrition Assistance Program (SNAP)-which provides services for U.S. adults who are food insecure-could be an appropriate venue for suicide prevention strategies targeting high-risk individuals.

METHODS

This cross-sectional study used multiple logistic regression to determine odds ratios (ORs) and 95% confidence intervals (CIs) for suicide ideation, planning and attempt among those who participated in SNAP vs. nonparticipants. The National Survey of Drug Use and Health provided a representative sample of U.S. adults for 2012-2018 (n = 288,730).

RESULTS

SNAP participants were more likely than nonparticipants to have serious suicidal thoughts (crude OR=1.89; 95% CI=1.79-1.99), to have a plan for suicide (crude OR=2.35; 95% CI=2.16-2.56) or to attempt suicide (crude OR=2.89; 95% CI=2.54-3.29). Associations remained for those aged <50 in age-stratified analyses that accounted for survey year, demographics, socioeconomic status, self-rated health and mental health service use.

LIMITATIONS

SNAP was assessed at the household level; thus, those who reported suicidal thoughts and/or behaviors may not personally interact with SNAP.

CONCLUSION

Using a large, nationally-representative sample of U.S. adults, this study documented greater prevalence of suicide-related outcomes among those who participate in SNAP. Suicide prevention among SNAP participants may provide a unique means to reach individuals who are often hard to engage in other health services.

Out-of-pocket health spending among Medicare beneficiaries: Which chronic diseases are most costly?

Background

Little is known about the impact of different types of chronic diseases on older adults’ out-of-pocket healthcare spending and whether certain diseases trigger higher spending needs than others.

Methods

We use data from the 2014 Health and Retirement Study representing a weighted population of 35,939,270 Medicare beneficiaries aged 65+. Generalized linear models are applied to estimate the effect of different chronic diseases on total out-of-pocket expenditure, adjusted for demographics, socio-economic status, physical health, and other factors. We also decompose total spending by expenditure categories (inpatient, non-inpatient, and prescription drug spending). Sensitivity analysis is performed using a younger sample of older adults aged 50–64.

Results

Cardiovascular disease, diabetes, hypertension and cancer, induce significantly higher adjusted out-of-pocket spending among older adults than other conditions. These results hold regardless how the spending differences are assessed (absolute or percentage terms). For Medicare beneficiaries, cardiovascular disease is associated with an excess out-of-pocket spending of $317 per year, followed by diabetes ($237), hypertension ($150), and cancer ($144). Prescription drug spending is singularly the most important driver of additional expenses for cardiovascular disease, diabetes and hypertension, while non-inpatient services spending accounts for the bulk of increased spending among those with cancer.

Conclusions

Our finding that major noncommunicable diseases impact individuals’ out-of-pocket medical spending differentially–and that service drivers of increased spending may be heterogeneous across disease types–suggest that health professionals and policymakers should recognize that certain chronic diseases exert greater financial toll on the elderly. Interventions to promote more cost efficient healthcare services and consumer choices can help older adults better cope with these expensive long-lasting conditions and reduce the overall burden of noncommunicable diseases.

Prevalence of depressive symptoms among older adults who reported medical cost as a barrier to seeking health care: findings from a nationally representative sample

BACKGROUND

Older adults aged 65 and over will make up more than 20% of U.S. residents by 2030, and in 2050, this population will reach 83.7 million. Depression among older adults is a major public health concern projected to be the second leading cause of disease burden. Despite having Medicare, and other employer supplements, the burden of out of pocket healthcare expenses may be an important predictor of depression. The current study aims to investigate whether delay in seeing a doctor when needed but could not because of medical cost is significantly associated with symptoms of current depression in older adults.

METHODS

Cross-sectional data from the 2011 Behavioral Risk Factor Surveillance System (BFRSS) from 12 states and Puerto Rico were used for this study (n = 24,018).

RESULTS

The prevalence of symptoms of current depression among older adults who reported medical cost as a barrier to seeking health care was significantly higher (17.8%) when compared to older adults who reported medical cost not being a barrier to seeking health care (5.5%). Older adults who reported medical cost as a barrier to seeking health care were more likely to report current depressive symptoms compared to their counterparts [Adjusted Odds Ratio (AOR): 2.2 [95% CI: 1.5-3.3]).

CONCLUSIONS

Older adults (≥ 65 years of age) who experience the burden of medical cost for health care are significantly more likely to report symptoms of depression. Health care professionals and policymakers should consider effective interventions to improve access to health care among older adults.

Longitudinal associations of multimorbidity, disability and out-of-pocket health expenditures in households with older adults in Mexico: The study on global AGEing and adult health (SAGE)

BACKGROUND

Empirical evidence suggests that multimorbidity and disability are each significantly associated with out-of-pocket (OOP) health expenditures; however few efforts have been made to explore their joint association with OOP health expenditures.

OBJECTIVES

To estimate the association of multimorbidity and disability with OOP health expenditures in households with older adults in Mexico, as well as the potential interaction effects of multimorbidity and disability on OOP health expenditures.

METHODS

Longitudinal study based on data collected as part of the Study on global AGEing and adult health Wave 1 (2009) and Wave 2 (2014), a nationally representative study in Mexico with a sample of older adults aged 50 and older. The dependent variable was OOP health expenditures, and main exposure variables were multimorbidity and disability. Two-Part regression models were used to analyze the relation between multimorbidity, disability and OOP health expenditures.

RESULTS

Multimorbidity was associated with the probability of incurring OOP health expenditures (OR = 1.28, CI_95% 1.11-1.48), and also the tertiles of disability (2nd tertile: OR = 1.45, CI_95% 1.23-1.70; 3rd tertile: OR = 2.19, CI_95% 1.81-2.66). The presence of multimorbidity was associated with an increase of 13% in average OOP health costs (β = 0.13, CI_95% 0.01-0.25), and 16% for the 3rd tertile of disability (β = 0.16, CI_95% 0.01-0.31). We did not find significant interaction effects of multimorbidity and disability.

CONCLUSIONS

Multimorbidity and disability appear to be important determinants of OOP health expenditures. The economic implications for the households and the health system should be highlighted, particularly in low- and middle-income countries because of the rapid growth of their aging populations.

Multimorbidity and lifestyle factors among adults with intellectual disabilities: a cross-sectional analysis of a UK cohort

BACKGROUND

Multimorbidity [two or more conditions in addition to intellectual disability (ID)] is known to be more common among people with ID. However, the relationship between multimorbidity and lifestyle factors is currently unknown. The aim of this study was to determine the prevalence of multimorbidity in a population of adults with ID. We also aimed to identify risk factors, including lifestyle factors, for multimorbidity in this population.

METHODS

This was a cross-sectional analysis using data from a diabetes screening study of 920 adults aged 18-74 years with ID living in Leicestershire, UK. We described comorbidities and the prevalence of multimorbidity in this population. We explored the relationship between multimorbidity and age, gender, ethnicity, severity of ID, socio-economic status, physical activity, sedentary behaviour, fruit and vegetable consumption and smoking status using multiple logistic regression.

RESULTS

The prevalence of multimorbidity was 61.2% (95% CI 57.7-64.7). Multimorbidity was independently associated with being female (P < 0.001) and severe/profound ID (P = 0.004). Increasing age was of borderline significance (P = 0.06). Individuals who were physically inactive or sedentary were more likely to be multimorbid, independent of ability to walk, age, gender, severity of ID, ethnicity and socio-economic status (adjusted OR = 1.91; 95% CI 1.23-2.97; P = 0.004 and OR = 1.98; 95% CI 1.42-2.77; P < 0.001). After excluding probable life-long conditions (autism spectrum conditions, attention deficit hyperactivity disorders, epilepsy, cerebral palsy and other paralytic syndromes) as contributing comorbidities, the effect of sedentary behaviour, but not physical activity, remained (P = 0.004). We did not observe a relationship between multimorbidity, fruit and vegetable consumption and smoking status.

CONCLUSIONS

Multimorbidity presents a significant burden to people with ID. Individuals who were physically inactive or sedentary were more likely to be multimorbid, but further work is recommended to explore the relationship between multimorbidity and lifestyle factors using standardised objective measures.

Pill for this and a pill for that: A cross-sectional survey of use and understanding of medication among adults with multimorbidity

OBJECTIVE

To understand the challenges managing medication use and knowledge of people living with multimorbidity.

METHODS

A cross-sectional survey of 234 adults with multimorbidity, identified using retrospective hospital discharge data. Participants were recruited from two primary health organisations in New Zealand.

RESULTS

Three quarters of participants (75%) were prescribed four or more medications, and one in four (27%) were prescribed eight or more medications. Participants reported knowing what their medications were for (88%, 95% CI 81.4-93.8) and when to take them (99%, 95% CI 97.5-99.9). However, over a fifth (22%, 95% CI 13.7-30.4) reported some problems managing multiple medications, and 40% (95% CI 30.2-50.2) reported a problem with side effects.

CONCLUSION

The results highlight the need to consider how prescribing can be adapted for people with multimorbidity and move beyond the application of multiple disease-specific guidelines.

Health Care Expenditures and Utilization Among Older Mexican Adults

Objectives: Examine differences in health care utilization and out-of-pocket (OOP) expenditures among older Mexican adults in 2001 and 2012, and identify individual characteristics associated with utilization and expenditures in both years. Method: Data from the 2001 and 2012 cross-sections of the Mexican Health and Aging Study were utilized. Outcomes included nights spent in the hospital, medical/outpatient procedures, and OOP expenditures with these services. Covariates included demographics and comorbidities. Two-part regression models were used to identify covariates associated with utilization and expenditures in each year. Results: The proportion of those who spent at least one night in the hospital or had at least one medical/outpatient visit was higher in 2012 than in 2001, while the proportion of individuals with OOP expenditures decreased between the years. Those with more comorbidities had the highest OOP expenditures in both years. Discussion: Although the population paying for health care services OOP was lower in 2012, there is persistent inequality in expenditures across population groups.

The association of multimorbidity with healthcare expenditure among the elderly patients in Beijing, China

OBJECTIVES

To add evidence to the relationship between multimorbidity and healthcare expenditure.

METHODS

The study population comprised patients aged ≥60 in Beijing, covered by the Urban Employee Basic Medical Insurance (UEBMI) (N = 30,774). Multimorbidity was measured with 33 chronic conditions confirmed by doctors. Multivariate linear regression was performed.

RESULTS

The prevalence of multimorbidity was 82% among elderly patients in Beijing and was higher in older and female patients. About 95% of the healthcare expenditure on the 33 conditions was spent on multimorbid patients. In the multivariate analysis, after inclusion of demographic characteristics, disease severity, and health facility level, the expenditure increased significantly with the number of chronic conditions. After further including condition types, the coefficients of the number of conditions were much lower than those in previous models. The expenditure on patients with two and three conditions was 3.4 times (95% CI: 3.2-3.7) and 5.3 times (95% CI: 4.7-6.0) higher than that on patients with a single condition, respectively; however, the expenditure did not significantly increase after three conditions.

CONCLUSIONS

Multimorbidity is common among elderly patients in Beijing and consumes the majority of the healthcare resources. The health delivery system in China and other low- and middle-income countries needs to pay more attention to multimorbidity.

Chronic disease burden predicts food insecurity among older adults

OBJECTIVE

Increased out-of-pocket health-care expenditures may exert budget pressure on low-income households that leads to food insecurity. The objective of the present study was to examine whether older adults with higher chronic disease burden are at increased risk of food insecurity.

DESIGN

Secondary analysis of the 2013 Health and Retirement Study (HRS) Health Care and Nutrition Study (HCNS) linked to the 2012 nationally representative HRS.

SETTING

USA.

SUBJECTS

Respondents of the 2013 HRS HCNS with household incomes <300 % of the federal poverty line (n 3552). Chronic disease burden was categorized by number of concurrent chronic conditions (0-1, 2-4, ≥5 conditions), with multiple chronic conditions (MCC) defined as ≥2 conditions.

RESULTS

The prevalence of food insecurity was 27·8 %. Compared with those having 0-1 conditions, respondents with MCC were significantly more likely to report food insecurity, with the adjusted odds ratio for those with 2-4 conditions being 2·12 (95 % CI 1·45, 3·09) and for those with ≥5 conditions being 3·64 (95 % CI 2·47, 5·37).

CONCLUSIONS

A heavy chronic disease burden likely exerts substantial pressure on the household budgets of older adults, creating an increased risk for food insecurity. Given the high prevalence of food insecurity among older adults, screening those with MCC for food insecurity in the clinical setting may be warranted in order to refer to community food resources.

A Systematic Review of Cost-of-Illness Studies of Multimorbidity

OBJECTIVES

The economic burden of multimorbidity is considerable. This review analyzed the methods of cost-of-illness (COI) studies and summarized the economic outcomes of multimorbidity.

METHODS

A systematic review (2000-2016) was performed, which was registered with Prospero, reported according to PRISMA, and used a quality checklist adapted for COI studies. The inclusion criteria were peer-reviewed COI studies on multimorbidity, whereas the exclusion criterion was studies focusing on an index disease. Extracted data included the definition, measure, and prevalence of multimorbidity; the number of included health conditions; the age of study population; the variables used in the COI methodology; the percentage of multimorbidity vs. total costs; and the average costs per capita.

RESULTS

Among the 26 included articles, 14 defined multimorbidity as a simple count of 2 or more conditions. Methodologies used to derive the costs were markedly different. Given different healthcare systems, OOP payments of multimorbidity varied across countries. In the 17 and 12 studies with cut-offs of ≥2 and ≥3 conditions, respectively, the ratios of multimorbidity to non-multimorbidity costs ranged from 2-16 to 2-10. Among the ten studies that provided cost breakdowns, studies with and without a societal perspective attributed the largest percentage of multimorbidity costs to social care and inpatient care/medicine, respectively.

CONCLUSION

Multimorbidity was associated with considerable economic burden. Synthesising the cost of multimorbidity was challenging due to multiple definitions of multimorbidity and heterogeneity in COI methods. Count method was most popular to define multimorbidity. There is consistent evidence that multimorbidity was associated with higher costs.

Self-Management of Multiple Chronic Conditions by Community-Dwelling Older Adults: A Concept Analysis

The proportion of the aging population living with multiple chronic conditions (MCC) is increasing. Self-management is valuable in helping individuals manage MCC. The purpose of this study was to conduct a concept analysis of self-management in community-dwelling older adults with MCC using Walker and Avant's method. The review included 30 articles published between 2000 and 2017. The following attributes were identified: (a) using financial resources for chronic disease management, (b) acquiring health- and disease-related education, (c) making use of ongoing social supports, (d) responding positively to health changes, (e) ongoing engagement with the health system, and (f) actively participating in sustained disease management. Self-management is a complex process; the presence of these attributes increases the likelihood that an older adult will be successful in managing the symptoms of MCC.

Development of a research tool to document self-reported chronic conditions in primary care

BACKGROUND

Researchers interested in multimorbidity often find themselves in the dilemma of identifying or creating an operational definition in order to generate data. Our team was invited to propose a tool for documenting the presence of chronic conditions in participants recruited for different research studies.

OBJECTIVE

To describe the development of such a tool.

DESIGN

A scoping review in which we identified relevant studies, selected studies, charted the data, and collated and summarized the results. The criteria considered for selecting chronic conditions were: (1) their relevance to primary care services; (2) the impact on affected patients; (3) their prevalence among the primary care users; and (4) how often the conditions were present among the lists retrieved from the scoping review.

RESULTS

Taking into account the predefined criteria, we developed a list of 20 chronic conditions/categories of conditions that could be self-reported. A questionnaire was built using simple instructions and a table including the list of chronic conditions/categories of conditions.

CONCLUSIONS

We developed a questionnaire to document 20 self-reported chronic conditions/categories of conditions intended to be used for research purposes in primary care. Guided by previous literature, the purpose of this questionnaire is to evaluate the self-reported burden of multimorbidity by participants and to encourage comparability among research studies using the same measurement.

Cross-Sectional and longitudinal associations of objectively-measured physical activity on blood pressure: evaluation in 37 countries

Background: We examined the cross-sectional and longitudinal associations of objectively-measured physical activity (step counts) and blood pressure (BP) among adults spanning 37 countries.

Methods: Across 37 countries, we used data from a pool of 9238 adult owners of Withings’ Pulse activity trackers, which measures steps taken each day, and Wireless Blood Pressure Monitor, which measures BP. Analyses were adjusted on age, sex, number of days where the tracker was worn, and number of BP measurements. Data was collected from 2009 to 2013.

Results: Subjects had a mean ± standard deviation (SD) age of 51.6 ± 11.3 years and a body mass index (BMI) of 28.7±5.5 kg/m². A 1-month increase of more than 3000 steps per day was associated with a decrease of systolic BP (SBP) and diastolic BP (DBP) among the obese (1.57mm Hg and 1.29 mm Hg respectively, both P<0.001) and the overweight population (0.79 mm Hg and 0.84 mm Hg respectively, both P≤0.001), but not in the normal weight population (P=0.60 and P=0.36 respectively).

Conclusion: One-month increases in daily step counts was associated with a decrease of SBP and DBP in a large obese and overweight free living population.

Musculoskeletal Health Conditions Represent a Global Threat to Healthy Aging: A Report for the 2015 World Health Organization World Report on Ageing and Health

Persistent pain, impaired mobility and function, and reduced quality of life and mental well-being are the most common experiences associated with musculoskeletal conditions, of which there are more than 150 types. The prevalence and impact of musculoskeletal conditions increase with aging. A profound burden of musculoskeletal disease exists in developed and developing nations. Notably, this burden far exceeds service capacity. Population growth, aging, and sedentary lifestyles, particularly in developing countries, will create a crisis for population health that requires a multisystem response with musculoskeletal health services as a critical component. Globally, there is an emphasis on maintaining an active lifestyle to reduce the impacts of obesity, cardiovascular conditions, cancer, osteoporosis, and diabetes in older people. Painful musculoskeletal conditions, however, profoundly limit the ability of people to make these lifestyle changes. A strong relationship exists between painful musculoskeletal conditions and a reduced capacity to engage in physical activity resulting in functional decline, frailty, reduced well-being, and loss of independence. Multilevel strategies and approaches to care that adopt a whole person approach are needed to address the impact of impaired musculoskeletal health and its sequelae. Effective strategies are available to address the impact of musculoskeletal conditions; some are of low cost (e.g., primary care-based interventions) but others are expensive and, as such, are usually only feasible for developed nations. In developing nations, it is crucial that any reform or development initiatives, including research, must adhere to the principles of development effectiveness to avoid doing harm to the health systems in these settings.

Multimorbidity in chronic disease: impact on health care resources and costs

Effective and resource-efficient long-term management of multimorbidity is one of the greatest health-related challenges facing patients, health professionals, and society more broadly. The purpose of this review was to provide a synthesis of literature examining multimorbidity and resource utilization, including implications for cost-effectiveness estimates and resource allocation decision making. In summary, previous literature has reported substantially greater, near exponential, increases in health care costs and resource utilization when additional chronic comorbid conditions are present. Increased health care costs have been linked to elevated rates of primary care and specialist physician occasions of service, medication use, emergency department presentations, and hospital admissions (both frequency of admissions and bed days occupied). There is currently a paucity of cost-effectiveness information for chronic disease interventions originating from patient samples with multimorbidity. The scarcity of robust economic evaluations in the field represents a considerable challenge for resource allocation decision making intended to reduce the burden of multimorbidity in resource-constrained health care systems. Nonetheless, the few cost-effectiveness studies that are available provide valuable insight into the potential positive and cost-effective impact that interventions may have among patients with multiple comorbidities. These studies also highlight some of the pragmatic and methodological challenges underlying the conduct of economic evaluations among people who may have advanced age, frailty, and disadvantageous socioeconomic circumstances, and where long-term follow-up may be required to directly observe sustained and measurable health and quality of life benefits. Research in the field has indicated that the impact of multimorbidity on health care costs and resources will likely differ across health systems, regions, disease combinations, and person-specific factors (including social disadvantage and age), which represent important considerations for health service planning. Important priorities for research include economic evaluations of interventions, services, or health system approaches that can remediate the burden of multimorbidity in safe and cost-effective ways.

Catastrophic Health Care Expenditure among Older People with Chronic Diseases in 15 European Countries

INTRODUCTION

It is well-known that the prevalence of chronic diseases is high among older people, especially those who are poor. Moreover, chronic diseases can result in catastrophic health expenditure. The relationship between chronic diseases and their financial burden on households is thus double-sided, as financial difficulties can give rise to, and result from, chronic diseases. Our aim was to examine the levels of catastrophic health expenditure imposed by private out-of-pocket payments among older people diagnosed with diabetes mellitus, cardiovascular diseases and cancer in 15 European countries.

METHODS

The SHARE dataset for individuals aged 50+ and their households, collected in 2010-2012 was used. The total number of participants included in this study was N = 51,661. The sample consisted of 43.8% male and 56.2% female participants. The average age was 67 years. We applied an instrumental variable approach for binary instrumented variables known as a treatment-effect model.

RESULTS

We found that being diagnosed with diabetes mellitus and cardiovascular diseases was associated with catastrophic health expenditure among older people even in comparatively wealthy countries with developed risk-pooling mechanisms. When compared to the Netherlands (the country with the lowest share of out-of-pocket payments as a percentage of total health expenditure in our study), older people diagnosed with diabetes mellitus in Portugal, Poland, Denmark, Italy, Switzerland, Belgium, the Czech Republic and Hungary were more likely to experience catastrophic health expenditure. Similar results were observed for diagnosed cardiovascular diseases. In contrast, cancer was not associated with catastrophic health expenditure.

DISCUSSION

Our study shows that older people with diagnosed chronic diseases face catastrophic health expenditure even in some of the wealthiest countries in Europe. The effect differs across chronic diseases and countries. This may be due to different socio-economic contexts, but also due to the specific characteristics of the different health systems. In view of the ageing of European populations, it will be crucial to strengthen the mechanisms for financial protection for older people with chronic diseases.

The impact of comorbidity on cancer and its treatment

Answer questions and earn CME/CNE Comorbidity is common among cancer patients and, with an aging population, is becoming more so. Comorbidity potentially affects the development, stage at diagnosis, treatment, and outcomes of people with cancer. Despite the intimate relationship between comorbidity and cancer, there is limited consensus on how to record, interpret, or manage comorbidity in the context of cancer, with the result that patients who have comorbidity are less likely to receive treatment with curative intent. Evidence in this area is lacking because of the frequent exclusion of patients with comorbidity from randomized controlled trials. There is evidence that some patients with comorbidity have potentially curative treatment unnecessarily modified, compromising optimal care. Patients with comorbidity have poorer survival, poorer quality of life, and higher health care costs. Strategies to address these issues include improving the evidence base for patients with comorbidity, further development of clinical tools to assist decision making, improved integration and coordination of care, and skill development for clinicians. CA Cancer J Clin 2016;66:337-350. © 2016 American Cancer Society.

Multiple chronic conditions and healthcare costs among adults

The prevalence of multiple chronic conditions (MCC) is increasing among individuals of all ages. MCC are associated with poor health outcomes. The presence of MCC has profound healthcare utilization and cost implications for public and private insurance payers, individuals, and families. Investigators have used a variety of definitions for MCC to evaluate costs associated with MCC. The objective of this article is to examine the current literature in estimating excess costs associated with MCC among adults. The discussion highlights some of the theoretical and technical merits of various MCC definitions and models used to estimate the excess costs associated with MCC.

Sequential Patterns of Health Conditions and Financial Outcomes in Late Life: Evidence From the Health and Retirement Study

The cost and prevalence of chronic health conditions increase in late life and can negatively impact accumulated wealth. Based on the financial challenges midaged and older adults face, we sought to understand the evolution of distinctive sequences of chronic health conditions and how these sequences affect retirement savings. We used 10 waves of the Health and Retirement Study and tracked the health states and changes in wealth of 5,540 individuals. We identified five typical sequences of chronic health conditions, which are defined as follows: Multimorbidity, Comorbidity, Mild Disease, Late Event, and No Disease. Wealth accumulation differed across the five sequences. Multimorbidity and Comorbidity were the most costly sequences. Individuals with these health patterns, respectively, had $91,205 and $95,140, less net worth than respondents identified with No Disease. Our findings suggest policy makers consider sequential disease patterns when planning for the health-care needs and expenditures of older Americans.

The influence of socioeconomic deprivation on multimorbidity at different ages: a cross-sectional study

Background

Multimorbidity occurs at a younger age in individuals in areas of high socioeconomic deprivation but little is known about the ‘typology’ of multimorbidity in different age groups and its association with socioeconomic status.

Aim

To characterise multimorbidity type and most common conditions in a large nationally representative primary care dataset in terms of age and deprivation.

Design and setting

Cross-sectional analysis of 1 272 685 adults in Scotland.

Method

Multimorbidity type of participants (physical-only, mental-only, mixed physical, and mental) and most common conditions were analysed according to age and deprivation.

Results

Multimorbidity increased with age, ranging from 8.1% in those aged 25–34 to 76.1% for those aged ≥75 years. Physical-only (56% of all multimorbidity) was the most common type of multimorbidity in those aged ≥55 years, and did not vary substantially with deprivation. Mental-only was uncommon (4% of all multimorbidity), whereas mixed physical and mental (40% of all multimorbidity) was the most common type of multimorbidity in those aged <55 years and was two- to threefold more common in the most deprived compared with the least deprived in most age groups. Ten conditions (seven physical and three mental) accounted for the top five most common conditions in people with multimorbidity in all age groups. Depression and pain featured in the top five conditions across all age groups. Deprivation was associated with a higher prevalence of depression, drugs misuse, anxiety, dyspepsia, pain, coronary heart disease, and diabetes in multimorbid patients at different ages.

Conclusion

Mixed physical and mental multimorbidity is common across the life-span and is exacerbated by deprivation from early adulthood onwards.

Prevalence and Associated Cost and Utilization of Multiple Chronic Conditions in the Outpatient Setting among Adult Members of an Employer-Based Health Plan

Patients with multiple chronic conditions (MCCs) are a significant concern for the US health care system. MCC patients represent an increasing proportion of the US population and are associated with increased health care cost and utilization, and poor quality of care. Research that has been conducted on MCC patients to date has been at the national level using large data sets, such as Medicare and Medicaid claims and the National Inpatient Sample. These studies have produced research evidence that may be of little utility to individual employer-based health plans given the inherent differences in the patient populations they serve. This study analyzed evaluation and management claims for patients ages 18 years and older (n=632,477) from the Beaumont Employee Health Plan (BEHP), a regional health insurance provider serving Beaumont Health System employees and their families across Southeastern Michigan. The study found that individuals with MCCs are associated with increased cost and visits, and decreased time between appointments in the outpatient setting. Despite decreasing prevalence of MCCs over the study period, substantial increases in cost and visits, and a decrease in time between appointments was observed for MCC patients. Asthma and chronic back pain were uniquely identified as additional primary targets for disease management programs for employer-based health plans. These findings speak to the value of studying MCCs at the employer-based health plan level, where population-specific MCCs can be identified for meaningful intervention and management. Significant opportunity exists for employer-based health plans to study, prevent, and manage MCCs among adult patients.

Time spent on health-related activities by senior Australians with chronic diseases: what is the role of multimorbidity and comorbidity?

OBJECTIVE

To examine the effect of various morbidity clusters of chronic diseases on health-related time use and to explore factors associated with heavy time burden (more than 30 hours/month) of health-related activities.

METHODS

Using a national survey, data were collected from 2,540 senior Australians. Natural clusters were identified using cluster analysis and clinical clusters using clinical expert opinion. We undertook a set of linear regressions to model people's time use, and logistic regressions to model heavy time burden.

RESULTS

Time use increases with the number of chronic diseases. Six of the 12 diseases are significantly associated with higher time use, with the highest effect for diabetes followed by depression; 18% reported a heavy time burden, with diabetes again being the most significant disease. Clusters and dominant comorbid groupings do not contribute to predicting time use or time burden.

CONCLUSIONS

Total number of diseases and specific diseases are useful determinants of time use and heavy time burden. Dominant groupings and disease clusters do not predict time use.

IMPLICATIONS

In considering time demands on patients and the need for care co-ordination, care providers need to be aware of how many and what specific diseases the patient faces.

Multiple conditions: exploring literature from the consumer perspective in Australia

BACKGROUND

Following a workshop with people with multiple conditions, the Chronic Illness Alliance undertook a literature review to explore current literature about multiple conditions.

METHODS

The literature search was performed using Medline, CINAHL, Google Scholar and Cochrane Library employing an extensive list of search terms and limited to English language journals between 1999 and 2009. Inclusion criteria for articles were those articles focussing on issues identified by consumers with more than one chronic illness and the health services working with them.

RESULTS

The results reported in this article are definitions of multiple conditions, safety and quality of services, risks and benefits of treatments for multiple and rare conditions and coordination of services.

DISCUSSION

The impact of multiple conditions or multimorbidities on health services has been researched internationally and identifies the barriers to good health care when multiple conditions are not recognized. While the issues for consumers with more than one condition are not well recognized, the barriers identified by the literature are of great importance to consumers.

CONCLUSIONS

This review demonstrates that services and policies in Australia require specific reforms to better meet the needs of people with multiple conditions.

Living arrangements, chronic diseases, and prescription drug expenditures among Korean elderly: vulnerability to potential medication underuse

Background

Insufficient social security combined with family structure changes has resulted in a poverty of the elderly. The objective of this study was to examine an association of living arrangements of the elderly with chronic disease prevalence and prescription drug use.

Methods

2008 Korea Health Panel Survey (KHPS) data were used in this study. Information on living arrangements, socio-demographics, health behaviors, chronic disease prevalence and healthcare expenditures including out-of-pocket (OOP) prescription drug expenditures for elderly aged 65 or older were collected from self-reported diaries and receipts. OOP prescription drug expenditure as a total cost that subject paid to a pharmacy for prescription drugs was examined. Logistic regression was used to identify differences in major chronic disease prevalence by living arrangements. The association of living arrangements with prescription drug use was analyzed using generalized linear model with a log link and a gamma variance distribution.

Results

Proportions of elderly living alone, elderly living with a spouse only, and elderly living with adults aged 20–64 were 14.5%, 48.3%, and 37.2%, respectively. Elderly living alone showed 2.43 odds ratio (OR) (95% confidence interval (CI) = 1.66-3.56) for having major chronic diseases prevalence compared to elderly living with adults. Despite a higher major chronic disease prevalence, elderly living alone showed lower OOP prescription drug expenditures (Cost Ratio = 0.80, 95% CI = 0.67-0.97) after adjusting for the number of major chronic diseases. Total OOP prescription drug expenditures were significantly lower in patients with a low income level versus high income level.

Conclusions

Even though elderly living alone had a higher risk of chronic disease, they spent less on OOP prescription drug expenditures. Optimal drug use is important for elderly with chronic diseases to achieve good health outcomes and quality of life. Public health policies should be supplemented to optimize medical treatment for vulnerable elderly living alone.

The effectiveness of interventions to reduce the household economic burden of illness and injury: a systematic review

Objective

To determine the nature, scope and effectiveness of interventions to reduce the household economic burden of illness or injury.

Methods

We systematically reviewed reports published on or before 31 January 2014 that we found in the CENTRAL, CINAHL, Econlit, Embase, MEDLINE, PreMEDLINE and PsycINFO databases. We extracted data from prospective controlled trials and assessed the risk of bias. We narratively synthesized evidence.

Findings

Nine of the 4330 studies checked met our inclusion criteria – seven had evaluated changes to existing health-insurance programmes and two had evaluated different modes of delivering information. The only interventions found to reduce out-of-pocket expenditure significantly were those that eliminated or substantially reduced co-payments for a given patient population. However, the reductions only represented marginal changes in the total expenditures of patients. We found no studies that had been effective in addressing broader household economic impacts – such as catastrophic health expenditure – in the disease populations investigated.

Conclusion

In general, interventions designed to reduce the complex household economic burden of illness and injury appear to have had little impact on household economies. We only found a few relevant studies using rigorous study designs that were conducted in defined patient populations. The studies were limited in the range of interventions tested and they evaluated only a narrow range of household economic outcomes. There is a need for method development to advance the measurement of the household economic consequences of illness and injury and facilitate the development of innovative interventions to supplement the strategies based on health insurance.

The association between multimorbidity and poor adherence with cardiovascular medications

Multimorbidity, defined as the presence of two or more chronic conditions, leads to a substantial public health burden. This study evaluated its association with adherence with cardiovascular medications in a Chinese population. A proportional stratified sampling was adopted to draw a representative sample of residents living in Henan Province, China. Interviewer-administered surveys were conducted by trained researchers. The outcomes included the number of chronic medical conditions, adherence with long-term medications (MMAS-8), and depressive symptoms (CESD-20). Binary logistic regression analysis was conducted to evaluate if medication adherence was associated with the presence of multimorbidity. From a total of 3866 completed surveys, the proportion of subjects having 0, 1 and ≥2 chronic conditions was 62.6%, 23.8% and 13.5%, respectively. Among 27.6% who were taking chronic medications, 66.6% had poor medication adherence (MMAS-8 score≤6). From binary logistic regression analysis, subjects with poor medication adherence were significantly associated with multimorbidity (adjusted odds ratio [AOR]: 1.35, 95% C.I. 1.02-1.78, p=0.037). Other associated factors included older age (AOR=1.04, 95% C.I. 1.03-1.05, p<0.001), smoking (AOR=1.63, 95% C.I. 1.16-2.30, p=0.005), family history of hypertension (AOR=1.51, 95% C.I. 1.19-1.93, p=0.001), and fair to poor self-perceived health status (AOR=2.15, 95% C.I. 1.69-2.74, p<0.001). Using medication adherence as the outcome variable, multimorbidity was significantly associated with poor drug adherence (AOR=1.34, 95% C.I. 1.02-1.77, p=0.037). Multimorbidity was associated with poorer medication adherence. This implies the need for closer monitoring of the medication taking behavior among those with multiple chronic conditions.

Factors associated with multimorbidity and its link with poor blood pressure control among 223,286 hypertensive patients

Multimorbidity has become the norm worldwide as populations age. It remains, however, infrequently researched. This study evaluated factors associated with multimorbidity in a predominantly Chinese hypertensive population. We included all adult patients prescribed their first antihypertensive agents in the entire public sector in Hong Kong from a validated database. Multimorbidity was defined as having one or more medical conditions (cardiovascular diseases; respiratory diseases; diabetes or impaired fasting glucose; renal disease) in addition to hypertension. We studied the prevalence of multimorbidity and performed multinomial regression analyses to evaluate factors independently associated with multimorbidity. 223,286 hypertensive patients (average age of 59.9 years, SD 17.6) were included. The prevalence of having 0, 1 and ≥ 2 additional conditions was 59.6%, 32.8% and 7.5%, respectively. The most common conditions were cardiovascular disease (24.2%) and diabetes (23.0%), followed by respiratory disorders (14.6%) and renal disease (10.9%). Older age (>50 years), male sex, lower household income, receipt of social security allowance and suboptimal blood pressure control (>140 mmHg or >90 mmHg; >130 mmHg or >80 mmHg for diabetes patients; AOR = 3.38-4.49) were significantly associated with multimorbidity. There exists a synergistic effect among these variables as older (≥ 70 years), male patients receiving security allowance had substantially higher prevalence of multimorbidity (19.9% vs 7.5% among all patients). Multimorbidity is very common in hypertensive patients and its prevalence increased markedly with the presence of risk factors identified in this study. Hypertensive patients with multimorbidities should receive more meticulous clinical care as their blood pressure control tends to be poorer.

Out-of-pocket expenditure by Australian seniors with chronic disease: the effect of specific diseases and morbidity clusters

BACKGROUND

Out of pocket expenditure (OOPE) on healthcare is related to the burden of illness and the number of chronic conditions a patient experiences, but the relationship of these costs to particular conditions and groups of conditions is less studied. This study examines the effect on OOPE of various morbidity groupings, and explores the factors associated with a 'heavy financial burden of OOPE' defined by an expenditure of over 10% of equivalised household income on healthcare.

METHODS

Data were collected from 4,574 senior Australians using a stratified sampling procedure by age, rurality and state of residence. Natural clusters of chronic conditions were identified using cluster analysis and clinically relevant clusters based on expert opinion. We undertook logistic regression to model the probability of incurring OOPE, and a heavy financial burden; linear regression to explore the significant factors of OOPE; and two-part models to estimate the marginal effect of factors on OOPE.

RESULTS

The mean OOPE in the previous three months was AU$353; and 14% of respondents experienced a heavy financial burden. Medication and medical service expenses were the major costs. Those who experienced cancer, high blood pressure, diabetes or depression were likely to report higher OOPE. Patients with cancer or diabetes were more likely than others to face a heavy burden of OOPE relative to income. Total number of conditions and some specific conditions predict OOPE but neither the clusters nor pairs of conditions were good predictors of OOPE.

CONCLUSIONS

Total number of conditions and some specific conditions predict both OOPE and heavy financial burden but particular comorbid groupings are not useful in predicting OOPE. Low-income patients pay a higher proportion of income than the well-off as OOPE for healthcare. Interventions targeting those who are likely to face severe financial burdens due to their health could address some of these differences.

ANEMIC PATIENT AT GP’S OFFICE

In contemporary medicine anemia is not just a decrease of hemoglobin level, but risk factor for worse outcome in vascular patients. At the same time anemia usually is not stated in the diagnosis and is not registered in statistic reports. Anemia – is always a complication that is why it always requires diagnostic algorithm to explore the underlying reason. Low hemoglobin level must be always marked by general physician. However in practice this happens just in 25% cases. Due to time deficiency at outpatient visits there is a demand for algorithm to provide GP with. This article concerns such algorithms to investigate the patients with found low hemoglobin level.

Comorbidity and healthcare expenditure in women with osteoporosis living in the basque country (Spain)

Objectives. This study aimed to establish the prevalence of multimorbidity in women diagnosed with osteoporosis and to report it by deprivation index. The characteristics of comorbidity in osteoporotic women are compared to the general female chronic population, and the impact on healthcare expenditure of this population group is estimated. Methods. A cross-sectional analysis that included all Basque Country women aged 45 years and over (N = 579,575) was performed. Sociodemographic, diagnostic, and healthcare cost data were extracted from electronic databases for a one-year period. Chronic conditions were identified from their diagnoses and prescriptions. The existence of two or more chronic diseases out of a list of 47 was defined as multimorbidity. Results. 9.12% of women presented osteoporosis and 85.04% of them were multimorbid. Although multimorbidity in osteoporosis increased with age and deprivation level, prevalence was higher in the better-off groups. Women with osteoporosis had greater risk of having other musculoskeletal disorders but less risk of having diabetes (RR = 0.65) than chronic patients without osteoporosis. People with poorer socioeconomic status had higher healthcare cost. Conclusions. Most women with osteoporosis have multimorbidity. The variety of conditions emphasises the complexity of clinical management in this group and the importance of maintaining a generalist and multidisciplinary approach to their clinical care.

Multiple chronic conditions and limitations in activities of daily living in a community-based sample of older adults in New York City, 2009

Introduction

Nationally, 60% to 75% of older adults have multiple (2 or more) chronic conditions (MCCs), and the burden is even higher among low-income, racial/ethnic minority populations. MCCs limit activities of daily living (ADLs), yet this association is not well characterized outside of clinical populations. We examined the association of MCCs with ADLs in a racially/ethnically diverse population of low-income older adults living in New York City public housing.

Methods

A representative sample of 1,036 New York City Housing Authority residents aged 65 or older completed a telephone survey in June 2009. We examined the association of up to 5 chronic conditions with basic ADL (BADL) limitations, adjusting for potential confounders by using logistic regression.

Results

Of respondents, 28.7% had at least 1 BADL limitation; 92.9% had at least 1 chronic condition, and 79.0% had MCCs. We observed a graded association between at least 1 BADL limitation and number of chronic conditions (using 0 or 1 condition as the reference group): adjusted odds ratio (AOR) for 3 conditions was 2.2 (95% confidence interval [CI], 1.3–3.9); AOR for 4 conditions, 4.3 (95% CI, 2.5–7.6); and AOR for 5 conditions, 9.2 (95% CI, 4.3–19.5).

Conclusion

Prevalence of BADL limitations is high among low-income older adults and increases with number of chronic conditions. Initiating prevention of additional conditions and treating disease constellations earlier to decrease BADL limitations may improve aging outcomes in this population.