Out-of-pocket medical spending for care of chronic conditions

Multimorbidity in Early Childhood and Socioeconomic Disadvantage: Findings From a Large New Zealand Child Cohort

OBJECTIVE

In contrast with multimorbidity during adulthood, the relationship of childhood multimorbidity with socioeconomic position (SEP) is poorly understood. We aimed to describe early childhood multimorbidity and investigate the relationship of this with SEP.

METHODS

Within a diverse prospective child cohort study, we determined associations of SEP with multimorbidity (defined as the presence of 2 or more chronic conditions) at age 2 years. Maternal SEP was ranked into 5 categories using an index constructed from variables collected antenatally describing maternal education, employment, financial stress, beneficiary status, housing tenure, overcrowding, and residential mobility. Missing values were handled using multiple imputation with chained equations. Independent associations of SEP with multimorbidity were described using adjusted odds ratios (OR) and 95% confidence intervals (CI).

RESULTS

Of the 6822 women and 6853 children who were enrolled into the cohort study, 5737 (84%) mother-child dyads had complete antenatal data and were interviewed at age 2 years. Of these 5737, for 3826 (67%) dyads, there were complete data for all variables. Multimorbidity was present in 374/3838 (9.7%) of the cohort children. After multiple imputation and adjustment for maternal ethnicity, smoking, poor health, depressive symptoms, and child gender, the odds of multimorbidity being present were increased for children of mothers in the most (OR 1.74, 95% CI 1.16-2.59) and second most (OR 1.43, 95% CI 1.00-2.04) versus the least disadvantaged group.

CONCLUSION

The odds of multimorbidity are increased for children whose mothers have lower SEP. Cumulative socioeconomic disadvantage increases the potential for a chronic illness trajectory to develop in early childhood.

Chronic condition patterns in the US population and their association with health related quality of life

This study aims to identify chronic disease patterns and their relationship to health-related quality of life (HRQL) in the US population. This cross-sectional study used data from 86,745 participants aged 18 years and older of the Medical Expenditure Panel Survey (MEPS) 2010-2015, we employed latent class analysis (LCA) to identify subgroups of participants with different combinations of 23 chronic conditions which had medical utilization during the past 12 months. Derived chronic condition latent classes were used to predict the 12-Item Short Form Survey physical component score (PCS), mental component score (MCS) in addition to overall HRQL (SF-6D) while controlling for covariates. LCA identified five unique multi-morbidity groups: "healthy" (62.5%), "vascular risk" (18.9%), "anxiety" (12.2%), "heart disease" (2.9%), and "severely-impaired" (3.5%). Covariate-adjusted mean SF-6D scores varied significantly among classes: healthy (0.85), vascular risk (0.77), anxiety (0.67), heart disease group (0.65), and severely-impaired (0.56). The anxiety group, proportionately younger and female, had high PCS (46.3) but low MCS (41.9). The heart disease group, although older and in poor physical health (PCS = 33.2), had higher MCS scores (46.9). Our results demonstrate multi-morbidity significantly impacts HRQL. The relationship between physical and mental health functioning varied across different multi-morbidity groups, and the discordance was more pronounced in younger ages and females. Our research also identified an older age group that was mentally robust and maintained a strong HRQL. Findings can inform the development of targeted interventions to improve physical and mental health functioning in vulnerable populations.

Health, subjective financial situation and well-being: a longitudinal observational study

BACKGROUND

An individual's financial situation is a key contributor to their overall well-being. Existing research has examined the direct economic consequences of changes in health upon out-of-pocket healthcare expenditure, participation in the labour force and potential earnings. There is also research exploring an individual's concern about their subjective financial situation regardless of the level of their income or work status on their health. In contrast, this paper conducts a causal analysis of the effects of general and mental health on an individual's subjective evaluation of their financial situation controlling for their work status and income. This is of importance because current health policy in the United Kingdom (UK) stresses the role of health as an asset which can mediate the wider flourishing of individuals. Moreover, subjective financial situation comprises a key component of well-being now being measured and sought in social welfare policy.

METHODS

Fixed effects instrumental variable panel data regression analysis is applied to 25 years of longitudinal data, from 1991, drawn from the harmonised British Household Panel Survey (BHPS) and Understanding Society Survey (USS).

RESULTS

Improved general health and reduced mental illness both improve the subjective financial situation of males and females. However, these affects diminish across older cohorts of males and females.

CONCLUSIONS

Investing in and improving general and mental health can improve the subjective financial situation and hence well-being of individuals. The targeting of health also needs to take account of an individuals' life-stage.

Racial and health insurance disparities in pediatric acute kidney injury in the USA

BACKGROUND

Acute kidney injury (AKI) significantly increases morbidity and mortality for hospitalized children, yet sociodemographic risk factors for pediatric AKI are poorly described. We examined sociodemographic differences in pediatric AKI amongst a national cohort of hospitalized children.

METHODS

Secondary analysis of the most recent (2012) Kids' Inpatient Database (KID) from the Agency for Healthcare Research and Quality. Study sample weights were used to obtain national estimates of AKI (defined by administrative data). KID is a nationally representative sample of pediatric discharges throughout the USA. Linear risk regression models were used to assess the relationship between our primary exposures (race/ethnicity, health insurance, household urbanization, gender, and age) and the diagnosis of AKI, adjusting for comorbidities.

RESULTS

A total of 1,699,841 hospitalizations met our study criteria. In 2012, AKI occurred in approximately 12.3/1000 pediatric hospitalizations, which translates to almost 30,000 children nationally. Asian/Pacific Islander, African-American, and Hispanic children were at slightly increased risk for AKI compared to Caucasian children (adjusted risk difference (RD) 4.5 per 1000 hospitalizations, 95% confidence interval (CI) 2.9-6.0; 2.5/1000 hospitalizations, 95% CI 1.7-3.3; and 1.7/1000 hospitalizations, 95% CI 0.9-2.5, respectively). Uninsured children were more likely to suffer AKI compared to children with any health insurance (e.g., no insurance versus Medicaid: adjusted RD 14.4/1000 hospitalizations, 95% CI 12.7-16.2). Based on these national estimates, one episode of AKI might be prevented if 70 (95% CI 62-79) hospitalized children without insurance were provided with Medicaid.

CONCLUSIONS

Pediatric AKI occurs more frequently in racial minority and uninsured children, factors linked to lower socioeconomic status.

Medication Adherence, Health Care Utilization, and Spending Among Privately Insured Adults With Chronic Conditions in the United States, 2010-2016

BACKGROUND

Chronic conditions are common and costly for older Americans and for the health system. Adherence to daily maintenance medications may improve patient health and lead to lower health care spending.

METHODS

To identify predictors of adherence and to quantify associations with health care utilization and spending among older adults with chronic conditions, we conducted a longitudinal retrospective analysis using the OptumLabs Data Warehouse. This database of deidentified administrative claims includes medical and eligibility information for more than 200 million commercial and Medicare Advantage enrollees. We identified adults age 50+ years initiating treatment for atrial fibrillation (N = 33,472), chronic obstructive pulmonary disease (COPD; N = 44,130), diabetes (N =76,726), and hyperlipidemia (N= 249,391) between January 2010 and December 2014. We assessed adherence, health care utilization, and spending during the first 2 years of treatment.

RESULTS

During the first year of treatment, 13%-53% of each condition cohort was adherent (proportion of days covered ≥0.80). White race, Midwest residence, and having fewer comorbidities consistently and independently predicted adherence among enrollees initiating treatment for chronic obstructive pulmonary disease, diabetes, and hyperlipidemia. Male sex and higher net worth were also independently associated with adherence among commercial enrollees with these conditions. Patients in most condition cohorts who were adherent to treatment had significantly lower odds of hospitalization or emergency department use compared to patients who were not adherent. Additional spending on pharmacy claims by patients who were adherent was not consistently offset by lower spending on medical claims over a 2-year horizon.

CONCLUSIONS

Although many patient factors are strongly associated with medication adherence, the problem of non-adherence is common across all groups and may increase risk of adverse health outcomes.

Association of Early Treatment With Chronicity and Hazard of Hospitalization After New Adjustment Disorder

OBJECTIVE

This study aimed to examine the effect of early treatment with psychotherapy or psychoactive medications on later hospitalizations for patients with a new diagnosis of adjustment disorder.

METHODS

Commercial claims data from Truven Health MarketScan were used. Patient-level propensity score matching was performed, and the authors fit an inverse probability of treatment weighting to a Cox proportional hazard model.

RESULTS

Early receipt of psychoactive medication instead of psychotherapy was associated with an increased hazard of later psychiatric hospitalization (hazard ratio [HR]=2.61, 95% confidence interval [CI]=2.07-3.28) and overall hospitalization (HR=1.12, 95% CI=1.04-1.21). Specifically, benzodiazepines were associated with increased hazard of later psychiatric hospitalization (HR=1.59, 95% CI=1.02-2.51), which did not differ from medications overall. In contrast, early receipt of psychotherapy was associated with a small decrease in the hazard of later psychiatric hospitalization (HR=0.85, 95 % CI=0.73-0.99) but had no effect on overall hospitalizations.

CONCLUSIONS

Early medication treatment for adjustment disorder was associated with greater overall and psychiatric hospitalization compared with no early medication treatment. This study suggests that an observed provider preference to use medications to treat patients who have comorbid physical illness may have deleterious long-term effects.

Does affordability matter? Examining the trends and patterns in health care expenditure in India

BACKGROUND

Absence of better financing mechanism results in higher out of pocket expenditure and catastrophe, which leads to impoverishment and poverty especially among low- and middle-income countries like India. This paper examines the major characteristics associated with the higher out of pocket expenditure and provides an insight from Andersen's behavioural model that how predisposing, enabling and need factors influence the level and pattern of out of pocket expenditure in India.

METHODS

Data has been extracted from three rounds of nationally representative consumer expenditure surveys, i.e. 1993-1994, 2004-2005 and 2011-2012 conducted by the Government of India. States were categorized based on regional classification, and adult equivalent scale was used to adjust the household size. Multiple Generalized-Linear-Regression-Model was employed to explore the relative effect of various socio-economic covariates on the level of out of pocket expenditure.

RESULTS

The gap has widened between advantaged and disadvantaged segment of the population along with noticeable regional disparities among Indian states. Generalized-Linear-Regression-Model indicates that the most influential predisposing and enabling factor determining the level of out of pocket expenditure were age composition, religion, social-group, household type, residence, economic status, sources of cooking and lighting arrangements among the households.

CONCLUSIONS

Present study suggests the need for strengthening the affordability mechanism of the households to cope with the excessive burden of health care payments. Furthermore, special consideration is required to accommodate the needs of the elderly, rural, backward states and impoverishment segment of population to reduce the unjust burden of out of pocket expenditure in India.

Type of Anemia, Chronic Non-cardiovascular Illnesses, and Outcomes of Patients with ST-segment Elevation Myocardial Infarction

OBJECTIVES

To assess the impact of different types of anemia and of concomitant non-cardiovascular chronic illnesses on outcomes of patients with ST-segment elevation myocardial infarction (STEMI) and baseline anemia admitted to the Intensive Cardiac Care Unit.

METHODS

Based on the mean corpuscular volume, anemia was stratified into: microcytic (<80 fL), normocytic (≥80, <96 fL), and macrocytic (≥96 fL). Data on concomitant chronic non-cardiovascular illnesses including malignancies were carefully collected. Endpoints included in-hospital bleeding as well as all-cause mortality at long-term follow-up.

RESULTS

Of 1,390 patients with STEMI, 294 patients had baseline anemia (21.2%), in whom normocytic, microcytic, and macrocytic anemia was present in 77.2%, 17.0%, and 5.8% patients, respectively. In-hospital bleeding occurred in 25 (8.5%) of the study population without significant differences between the three groups. At a mean follow-up of 5.5±3.5 years, 104 patients (35.4%) had died. Mortality was the highest in patients with macrocytic anemia, followed by patients with normocytic anemia and microcytic anemia (58.8%, 37.0%, and 20.0%, respectively; P=0.009). Chronic non-cardiovascular condition was identified as an independent predictor of both in-hospital bleeding (odds ratio=2.57, P=0.01) and long-term mortality (hazard ratio [HR] 1.54, P=0.019). Performance of coronary angiography within index hospitalization was associated with lower long-term mortality (HR 0.38, P=0.001). Mean corpuscular volume did not predict either in-hospital bleeding or mortality.

CONCLUSIONS

Chronic non-cardiovascular illnesses are highly prevalent among patients with STEMI and baseline anemia, and are strongly associated with higher in-hospital bleeding and long-term mortality. Type of anemia is not related to prognosis post-STEMI.

US Health Care Spending by Payer and Health Condition, 1996-2016

IMPORTANCE

US health care spending has continued to increase and now accounts for 18% of the US economy, although little is known about how spending on each health condition varies by payer, and how these amounts have changed over time.

OBJECTIVE

To estimate US spending on health care according to 3 types of payers (public insurance [including Medicare, Medicaid, and other government programs], private insurance, or out-of-pocket payments) and by health condition, age group, sex, and type of care for 1996 through 2016.

DESIGN AND SETTING

Government budgets, insurance claims, facility records, household surveys, and official US records from 1996 through 2016 were collected to estimate spending for 154 health conditions. Spending growth rates (standardized by population size and age group) were calculated for each type of payer and health condition.

EXPOSURES

Ambulatory care, inpatient care, nursing care facility stay, emergency department care, dental care, and purchase of prescribed pharmaceuticals in a retail setting.

MAIN OUTCOMES AND MEASURES

National spending estimates stratified by health condition, age group, sex, type of care, and type of payer and modeled for each year from 1996 through 2016.

RESULTS

Total health care spending increased from an estimated $1.4 trillion in 1996 (13.3% of gross domestic product [GDP]; $5259 per person) to an estimated $3.1 trillion in 2016 (17.9% of GDP; $9655 per person); 85.2% of that spending was included in this study. In 2016, an estimated 48.0% (95% CI, 48.0%-48.0%) of health care spending was paid by private insurance, 42.6% (95% CI, 42.5%-42.6%) by public insurance, and 9.4% (95% CI, 9.4%-9.4%) by out-of-pocket payments. In 2016, among the 154 conditions, low back and neck pain had the highest amount of health care spending with an estimated $134.5 billion (95% CI, $122.4-$146.9 billion) in spending, of which 57.2% (95% CI, 52.2%-61.2%) was paid by private insurance, 33.7% (95% CI, 30.0%-38.4%) by public insurance, and 9.2% (95% CI, 8.3%-10.4%) by out-of-pocket payments. Other musculoskeletal disorders accounted for the second highest amount of health care spending (estimated at $129.8 billion [95% CI, $116.3-$149.7 billion]) and most had private insurance (56.4% [95% CI, 52.6%-59.3%]). Diabetes accounted for the third highest amount of the health care spending (estimated at $111.2 billion [95% CI, $105.7-$115.9 billion]) and most had public insurance (49.8% [95% CI, 44.4%-56.0%]). Other conditions estimated to have substantial health care spending in 2016 were ischemic heart disease ($89.3 billion [95% CI, $81.1-$95.5 billion]), falls ($87.4 billion [95% CI, $75.0-$100.1 billion]), urinary diseases ($86.0 billion [95% CI, $76.3-$95.9 billion]), skin and subcutaneous diseases ($85.0 billion [95% CI, $80.5-$90.2 billion]), osteoarthritis ($80.0 billion [95% CI, $72.2-$86.1 billion]), dementias ($79.2 billion [95% CI, $67.6-$90.8 billion]), and hypertension ($79.0 billion [95% CI, $72.6-$86.8 billion]). The conditions with the highest spending varied by type of payer, age, sex, type of care, and year. After adjusting for changes in inflation, population size, and age groups, public insurance spending was estimated to have increased at an annualized rate of 2.9% (95% CI, 2.9%-2.9%); private insurance, 2.6% (95% CI, 2.6%-2.6%); and out-of-pocket payments, 1.1% (95% CI, 1.0%-1.1%).

CONCLUSIONS AND RELEVANCE

Estimates of US spending on health care showed substantial increases from 1996 through 2016, with the highest increases in population-adjusted spending by public insurance. Although spending on low back and neck pain, other musculoskeletal disorders, and diabetes accounted for the highest amounts of spending, the payers and the rates of change in annual spending growth rates varied considerably.

Association of elderly age and chronic illnesses: Role of gender as a risk factor

BACKGROUND AND AIMS

Chronic diseases are the leading cause of death as well as disability worldwide. There is a little information about the prevalence of these diseases among Saudi elderly population. The aim of the study was to assess the role of gender as risk factor for chronic diseases among elderly patients seen at primary health care centers and identify the most common chronic comorbidities among the elderly.

METHODS

A cross-sectional study was conducted by reviewing charts of elderly patients having chronic illnesses seeking consultation between January to December 2016. Based on WHO classification data for 19 chronic diseases were extracted using electronic charts of the patients. Chi-square test and logistic regression was used to access the gender as predictor for chronic illnesses with statistical significance was set at P < 0.05.

RESULTS

The total number 319 elderly patients were included in the study after random sampling with a mean age of 75 ± 7 years. Around 83 (26%) of patients were severely obese (BMI >35) with a mean BMI of 30 ± 6.7. The most common chronic illnesses were cardiovascular diseases 229 (71.8%), dyslipidemia 183 (57.4%) and diabetes 179 (56.1%). The chronic respiratory and endocrine diseases were common among the elderly females (P value 0.004, P value < 0.001). The most significant problem among males was disease of genitourinary system. There was significant positive correlation of multimorbidity with number of times of consultation in a year (r = 0.442, P value < 0.001).

CONCLUSION

The study concludes that females are more likely to have chronic diseases at elder age than males. However, disease of the genitourinary system was significantly higher among male elderly. Multimorbidity significantly increased the need for frequent visits to the hospital.

Systematic Review of Technology-Based Interventions Targeting Chronically Ill Adults and Their Caregivers

The purpose of this systematic review is to synthesize the study design features as well as the attributes and outcomes of technology-based health interventions targeting chronically ill adults and their family caregivers. Twenty papers representing 19 studies met the inclusion criteria. Various theoretical foundations or approaches guided the interventions in 11 studies. Interventions either aimed to support patient self-management and improve patient outcomes or enhance shared illness management and improve patient and caregiver outcomes. The interventions included educational, behavioral, and support components and were delivered using various technologies ranging from text messaging to using the Internet. Overall, patients and caregivers expressed improvements in self-management outcomes (or support) and quality of life. Interventions with a dyadic focus reported on interpersonal outcomes, with improvements noted mostly in patients. This review captures an emerging area of science, and findings should be interpreted in light of the methodological limitations of the included studies.

The Invested in Diabetes Study Protocol: a cluster randomized pragmatic trial comparing standardized and patient-driven diabetes shared medical appointments

Background

Shared medical appointments (SMAs) have been shown to be an efficient and effective strategy for providing diabetes self-management education and self-management support. SMA features vary and it is not known which features are most effective for different patients and practice settings. The Invested in Diabetes study tests the comparative effectiveness of SMAs with and without multidisciplinary care teams and patient topic choice for improving patient-centered and clinical outcomes related to diabetes.

Methods

This study compares the effectiveness of two SMA approaches using the Targeted Training for Illness Management (TTIM) curriculum. Standardized SMAs are led by a health educator with a set order of TTIM topics. Patient-driven SMAs are delivered collaboratively by a multidisciplinary care team (health educator, medical provider, behavioral health provider, and a peer mentor); patients select the order and emphasis on TTIM topics. Invested in Diabetes is a cluster randomized pragmatic trial involving approximately 1440 adult patients with type 2 diabetes. Twenty primary care practices will be randomly assigned to either standardized or patient-driven SMAs. A mixed-methods evaluation will include quantitative (practice- and patient-level data) and qualitative (practice and patient interviews, observation) components. The primary patient-centered outcome is diabetes distress. Secondary outcomes include autonomy support, self-management behaviors, clinical outcomes, patient reach, and practice-level value and sustainability.

Discussion

Practice and patient stakeholder input guided protocol development for this pragmatic trial comparing SMA approaches. Implementation strategies from the enhanced Replicating Effective Programs framework will help ensure practices maintain fidelity to intervention protocols while tailoring workflows to their settings. Invested in Diabetes will contribute to the literature on chronic illness management and implementation science using the RE-AIM model.

Trial registration

ClinicalTrials.gov, NCT03590041. Registered on 5 July 2018.

Private expenditures on healthcare: determinants, patterns and progressivity aspects

BACKGROUND

The mixture of public vs. private financing of the healthcare system has important fiscal and economic welfare implications. The consequences of this mixture for access to health services and for equity have become highly debated policy issues. In the first decade of 2000s, Israel experienced a continuous upward trend in the proportion of private financing, reaching a peak of 37-38%, which has subsequently leveled off. The 38% level is significantly higher than the 26% average across the Organization for Economic Co-operation and Development (OECD) countries.

MAIN TEXT

A recent paper by Tur-Sinai et al. in this journal shows that private spending by Israelis on health care is positively related to the income of individuals and to the socioeconomic status of their place of residence. This commentary draws attention to studies that integrate into one model both demand-side and supply-side determinants of private expenditures on healthcare. It also discusses inequity.

CONCLUSIONS

Overall, the financing of national health expenditures in Israel is slightly regressive, but the progressivity of public financing is almost enough to offset the regressive effect of out-of-pocket payments and payments for voluntary complementary insurance.

Financial Burdens and Barriers to Care Among Nonelderly Adults With Heart Disease: 2010-2015

Background We examined the prevalence of high burdens and barriers to care among adults with heart disease treatment. Methods and Results The participants were aged 18 to 64 years from the Medical Expenditure Panel Survey-Household Component (MEPS-HC) for 2010-2015. High burden is out-of-pocket spending on care and insurance premiums >20% of income. Barriers to care are forgoing and delaying care for financial reasons. Logistic regressions were used to estimate the odds of having high burdens and barriers. Adults treated for heart disease have odds ratios (ORs) of 2.18 (95% CI, 1.91-2.50) for having high burden, 2.51 (95% CI, 2.23-2.83) for forgoing care, and 3.57 (95% CI, 3.8-4.13) for delaying care compared with adults without any chronic condition. Among adults treated for heart disease compared with adults with private group coverage, ORs for having high burdens were significantly lower among those with public insurance (OR: 0.17; 95% CI, 0.10-0.26) or the uninsured (OR: 0.58; 95% CI, 0.36-0.92) and higher among those with private nongroup insurance (OR: 5.30; 95% CI, 3.26-8.61). Compared with adults with private group coverage, ORs for delaying care were 2.07 (95% CI, 1.37-3.12) for those with public insurance, 2.64; 95% CI, 1.70-4.10) for those without insurance, and 2.16 (95% CI, 1.24-3.76) for those with private nongroup insurance. Conclusions Public insurance provides protection against high burdens but not against forgoing or delaying care. Future research should investigate whether and to what extent barriers to care are associated with worse health outcomes and higher costs in the long term.

Trends and socio-economic disparities in catastrophic health expenditure and health impoverishment in China: 2010 to 2016

OBJECTIVES

To investigate trends and socio-economic disparities in the catastrophic health expenditure (CHE) and health impoverishment in China after major reform of the health system and to examine the impacts of the chronic disease on CHE and impoverishment.

METHODS

We obtained data from four rounds of the China Family Panel Studies 2010-2016, with a sample size of 14 960 households. We defined CHE as the point at which annual household health payments exceeded 40% of annual capacity to pay. Impoverishment is measured by the $1.90 per day poverty line. Multivariate logistic regression models were performed to identify impacts of the family member with chronic disease on CHE and impoverishment.

RESULTS

Between 2010 and 2016, the incidence of CHE in China decreased from 19.37% to 15.11% and from 7.39% to 5.14% for health impoverishment; however, the decrease in level of impoverishment was less in rural areas (from 6.16% down to 3.03%) than in urban areas (from 8.46% down to 7.81%). The gap between impoverishment rates across the income quartiles is growing. Multivariable analysis showed that households with two or more members suffering chronic diseases were significantly more likely to incur CHE (aOR: 2.46, 95% CI: 1.93-3.13) and impoverishment (aOR: 2.66, 95% CI: 1.87-3.78) than households with no members suffering chronic diseases, after adjusting for sociodemographic covariates.

CONCLUSIONS

Important advances have been made in achieving greater financial protection for Chinese citizens. Nevertheless, greater attention to the poor households with chronic disease members is needed. Policymakers in China should focus on optimising integrated rural-urban health insurance by expanding the current benefit packages and strengthening poverty alleviation efforts.

Self-Report Tools for Assessing Physical Activity in Community-Living Older Adults with Multiple Chronic Conditions: A Systematic Review of Psychometric Properties and Feasibility

Identifier l'outil d'autodéclaration de l'activité physique (AP) le plus adapté pour l'évaluation de l'AP chez les personnes âgées vivant dans la communauté qui sont atteintes de multiples maladies chroniques (MMC). L'AP peut avoir une influence positive sur la santé physique et psychologique de cette population. Bien qu'il existe des outils d'auto-évaluation de l'AP, les propriétés psychométriques et la faisabilité de l'utilisation de ces outils chez les personnes âgées avec MMC sont peu connues. Une revue systématique des études publiées entre 2000 et 2018 portant sur les propriétés psychométriques et la faisabilité de 18 outils d'auto-évaluation élaborés pour les personnes âgées vivant en communauté (≥ 65 ans) a été réalisée en vue de déterminer leur pertinence pour les personnes âgées atteintes de MMC. L'évaluation des données disponibles sur les propriétés psychométriques et la faisabilité des 18 outils d'auto-évaluation de l'activité physique a permis d'établir que l'Échelle d'évaluation de l'activité physique chez les personnes âgées (Physical Activity Assessment Scale for the Elderly; PASE) est l'outil d'auto-évaluation le plus adapté, qui devrait être recommandé pour la population de personnes âgées avec MMC.

The purpose of this study was to identify the self-report physical activity (PA) tool best suited for assessment of PA in community-dwelling older adults with multiple chronic conditions (MCC). PA can positively influence physical and psychological health in this population. Although self-report PA tools exist, little is known about the psychometric properties and feasibility of using these tools in older adults with MCC. A systematic literature review from 2000 to 2018 was conducted of studies reporting on the psychometric properties and feasibility of 18 self-report PA tools for community-dwelling older adults (≥ 65 years) to determine the suitability of these tools for use in older adults with MCC. Based on an assessment of the available evidence for the psychometric properties and feasibility of 18 different self-report PA tools, the Physical Activity Assessment Scale for the Elderly (PASE) is recommended as the best-suited self-report PA tool for older adults with MCC.

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.

Mortality and Hospitalization Risk Following Oral Androgen Signaling Inhibitors Among Men with Advanced Prostate Cancer by Pre-existing Cardiovascular Comorbidities

BACKGROUND

Elderly patients (≥65yr) with advanced prostate cancer and cardiovascular disease (CVD) conditions are often excluded from clinical trials of abiraterone acetate (AA) or enzalutamide (ENZ). Consequently, little is known about the effects of these medications on these vulnerable patients.

OBJECTIVE

To assess the short-term outcomes of AA and ENZ in patients with pre-existing CVDs.

DESIGN, SETTING, AND PARTICIPANTS

A population-based retrospective study. The Surveillance, Epidemiology, and End Results-Medicare-linked database was used to identify prostate cancer patients using AA or ENZ.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

The primary endpoint was 6-mo all-cause mortality, analyzed using modified Poisson regression modeling of relative risk (RR) adjusted for confounders and comorbidities.

RESULTS AND LIMITATIONS

Among eligible patients (2845 with AA and 1031 with ENZ), 67% had at least one pre-existing CVD. Compared with those without pre-existing CVDs, having one to two pre-existing CVDs was associated with 16% higher 6-mo mortality (RR=1.16, 95% confidence interval [CI]: 1.00-1.36), and the risk increased further among those having three or more CVDs (RR=1.56, 95% CI: 1.29-1.88). Most of the differences in survival of patients with pre-existing CVD condition occurred within the first 6mo of treatment.

CONCLUSIONS

After treatment with AA or ENZ, elderly prostate cancer patients with pre-existing CVDs experienced higher short-term mortality than otherwise similar patients without CVDs. Mortality associated with CVDs did not depend on having received AA versus ENZ.

PATIENT SUMMARY

Patients with pre-existing cardiovascular diseases (CVDs) experienced higher short-term mortality after abiraterone acetate or enzalutamide than those without pre-existing CVDs. It is recommended that a multidisciplinary team, including a cardiologist, evaluate patients having pre-existing CVDs in the process of making treatment decisions and monitoring potential side effects.

Trends in Out-of-Pocket Burden in United States Adults with Kidney Disease: 2002-2011

BACKGROUND

High out-of-pocket (OOP) cost is a barrier to healthcare access and treatment compliance. Our study examined high OOP healthcare cost and burden trends in adults with kidney disease (KD).

METHODS

Using Medical Expenditure Survey 2002-2011 data, we examined the proportion of people greater than 17 years old with KD whose OOP burden was high. Trends by insurance status (private, public or none) and trends by income level (poor, low, middle or high income) were also examined in this study.

RESULTS

Approximately 16% of people with KD faced high OOP burden in 2011. The proportion of adults with high OOP burden between 2002 and 2011 fell by 9.7 percentage points. The proportion of privately insured adults facing high OOP burden decreased by 4.7, those who were publicly insured 22.4, and those who were uninsured, 3.1 percentage points. The proportion of those facing high OOP burden who were poor/near poor fell by 26.5, those who had low income 13.4, and those who had middle income, 9 percentage points.

CONCLUSIONS

Though high OOP burden declined between 2002 and 2011 in the US population with KD, most of the decline was among the publicly insured, so the uninsured populations with KD remain vulnerable. Providers and policy makers should be aware of the vulnerability of uninsured individuals with KD to high OOP burden.

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.

Mental Illness Among Youth With Chronic Physical Conditions

BACKGROUND AND OBJECTIVES

Youth with chronic physical conditions (CPCs) may be at greater risk for developing chronic mental health conditions (MHCs), and limitations in the ability to engage in developmentally appropriate activities may contribute to the risk of MHCs among youth with CPCs. We compared the risk of incident MHCs in youth with and without CPCs and explored whether activity limitations contribute to any such association.

METHODS

The 2003-2014 Medical Expenditure Panel Survey provided a nationally representative cohort of 48 572 US youth aged 6 to 25 years. We calculated the 2-year cumulative incidence of MHCs overall and by baseline CPC status. Cox proportional hazard models were used to estimate the association between CPCs and incident MHCs, adjusting for sociodemographic characteristics. Stepwise models and the Sobel test evaluated activity limitations as a mediator of this relationship.

RESULTS

The 2-year cumulative incidence of MHCs was 7.8% overall, 11.5% in youth with CPCs (14.7% of sample), and 7.1% in those without. The adjusted risk of incident MHCs was 51% greater (adjusted hazard ratio 1.51; 95% confidence interval 1.30-1.74) in youth with CPCs compared with those without. Activity limitations mediated 13.5% of this relationship (P < .001).

CONCLUSIONS

This nationally representative cohort study supports the hypotheses that youth with CPCs have increased risk for MHCs and that activity limitations may play a role in MHC development. Youth with CPCs may benefit from services to bolster their ability to participate in developmentally important activities and to detect and treat new onset MHCs.

Nonsymptomatic Factors More Strongly Associated with High-Quality End-of-Life Care than Symptomatic Factors for Community-Dwelling Older Adults with Multiple Chronic Conditions

Background: Information about end-of-life goals and preferences of older adults with multiple chronic conditions (MCCs) is scarce, but necessary for prioritizing resources to care for this population. Objective: The aim of this study was to determine which end-of-life quality domains are associated with excellent overall end-of-life care quality for older adults with MCCs. Design: This study involved retrospective cross-sectional cohort analysis of secondary data derived from the National Health and Aging Trends Study (NHATS), Last Month of Life Interview. Measurements: Weighted bivariable analyses determined unadjusted relationships between overall care quality and end-of-life care quality. Weighted unadjusted and adjusted multiple logistic regression tested the association of ratings of overall care quality with the perception of quality. Results: The final analytic sample included 477 NHATS participants (weighted: 1,123,887 participants). For older adults with MCC, the rating of overall care quality was positively associated with coordination (adjusted odds ratio [aOR] 4.49; 95% confidence interval [CI]: 1.85-10.86), shared decision making (aOR 1.97; 95% CI: 1.12-3.47), respect (aOR 6.36; 95% CI: 3.23-12.52), and spiritual and emotional support (aOR 2.02; 95% CI: 1.23-3.30). We found no significant association between the rating of overall care quality and symptom management (aOR 1.49; 95% CI: 0.81-2.71). Conclusion: Given that nonsymptomatic domains (coordination, shared decision making, respect, and spiritual and emotional support) were most associated with high-quality end-of-life care for older adults with MCC as rated by their proxies, increased attention is needed to strengthen these aspects of care. Symptom management was unrelated to the overall quality rating, and further research is needed to illuminate the meaning of this finding.

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.

'Managing scarcity'- a qualitative study on volunteer-based healthcare for chronically ill, uninsured migrants in Berlin, Germany

OBJECTIVES

In Germany, healthcare for people lacking legal residency status and European Union citizens without health insurance is often provided by non-governmental organisations. Scientific studies assessing the situation of the patients with chronic diseases in this context are scarce. We aimed to characterise medical care for chronically ill migrants without health insurance and outline its possibilities and limitations from the treating physicians' perspective.

DESIGN

Qualitative semi-structured interviews; qualitative content analysis.

SETTING

Organisations and facilities providing healthcare for uninsured migrants: free clinics, medical practices and public health services.

PARTICIPANTS

14 physicians working regularly in healthcare for uninsured migrants.

RESULTS

Delayed contact to the healthcare system was frequently addressed in the interviews. Care was described as constrained by a scarcity of resources that often impedes adequate treatment for many conditions, most pronounced in the case of oncological diseases or chronic viral infections (HIV, hepatitis). For other chronic conditions such as cardiovascular diseases or diabetes, some diagnostics and basic medications were described as partially available, while management of complications or rehabilitative measures are frequently unfeasible. For the patients with mental health problems, attainability of psychotherapeutic treatment is reported as severely limited. Care is predominantly described as fragmented with limitations to information flow and continuity. Which level of care a patient receives appears to depend markedly on the respective non-governmental organisation and the individual commitment, subjective decisions and personal connections of the treating physician.

CONCLUSIONS

Restrictions in medical care for uninsured migrants have even more impact on chronically ill patients. Volunteer-based care often constitutes an inadequate compensation for regular access to the healthcare system, as it is strongly influenced by the limitation of its resources and its arbitrariness.

The Affordable Care Act's Marketplaces Expanded Insurance Coverage For Adults With Chronic Health Conditions

The Affordable Care Act (ACA) made private nongroup health insurance more accessible to nonelderly adults with chronic conditions, with enrollment growth occurring through the federal and state-based Marketplaces. During the July through December reference period in 2014-15, 45 percent of Marketplace enrollees ages 18-64 were treated for chronic conditions, compared with 35 percent of non-Marketplace nongroup enrollees and 38 percent of adults with employer-sponsored insurance. Marketplace enrollees also had higher service use than other privately insured adults did, which likely contributed to rising premiums in the nongroup market. As repeal of the ACA individual mandate takes effect in 2019, protecting coverage gains for adults with chronic conditions while stabilizing nongroup premiums may depend on state-level efforts to spread the risk of Marketplace enrollees' health care costs across a balanced insurance pool.

Insurance Mandates and Out-of-Pocket Spending for Children With Autism Spectrum Disorder

BACKGROUND

The health care costs associated with treating autism spectrum disorder (ASD) in children can be substantial. State-level mandates that require insurers to cover ASD-specific services may lessen the financial burden families face by shifting health care spending to insurers.

METHODS

We estimated the effects of ASD mandates on out-of-pocket spending, insurer spending, and the share of total spending paid out of pocket for ASD-specific services. We used administrative claims data from 2008 to 2012 from 3 commercial insurers, and took a difference-in-differences approach in which children who were subject to mandates were compared with children who were not. Because mandates have heterogeneous effects based on the extent of children's service use, we performed subsample analyses by calculating quintiles based on average monthly total spending on ASD-specific services. The sample included 106 977 children with ASD across 50 states.

RESULTS

Mandates increased out-of-pocket spending but decreased the share of spending paid out of pocket for ASD-specific services on average. The effects were driven largely by children in the highest-spending quintile, who experienced an average increase of $35 per month in out-of-pocket spending (P < .001) and a 4 percentage point decline in the share of spending paid out of pocket (P < .001).

CONCLUSIONS

ASD mandates shifted health care spending for ASD-specific services from families to insurers. However, families in the highest-spending quintile still spent an average of >$200 per month out of pocket on these services. To help ease their financial burden, policies in which children with higher service use are targeted may be warranted.

Effectiveness of a case management model for the comprehensive provision of health services to multi-pathological people

AIM

To determine the effectiveness of a case management model for approaching multi-pathological people in a health promoting entity of the contributory healthcare scheme in Bogotá, Colombia between 2018 - .

DESIGN

Mixed methods research.

METHOD

The study contemplates two components: a quantitative component using a quasi-experimental analytical design before and after longitudinal intervention to determine the effectiveness of the case management model and a qualitative descriptive design to understand the experience of the participants about the model. The Administrative Department of Science, Technology and Innovation of Colombia (Colciencias) funded this project by means of call 777-November 2017, under the financing agreement No. 848-December 2017.

DISCUSSION

Addressing problems deriving from the structure of the Colombian healthcare system is crucial for implementing case management models. Furthermore, the effectiveness of such models may be affected by power relations and market failures, but the proved potential of a model may represent a generalized benefit for the Colombian health system.

IMPACT

In Colombia, considering complications and management of chronic non-communicable diseases as isolated cases is considered as the highest cost events in healthcare provision, since an average of 12.8 million pesos is invested in each patient. This has led to rethink the management in these patients by means of a comprehensive model that guarantees the effectiveness of healthcare delivery, in the framework of a healthcare system heavily affected by payment capacity, where the market has a strong predominance, such as the case of Colombia.

TRIAL REGISTRATION NUMBER

RPCEC00000293.

The global burden of multiple chronic conditions: A narrative review

Globally, approximately one in three of all adults suffer from multiple chronic conditions (MCCs). This review provides a comprehensive overview of the resulting epidemiological, economic and patient burden. There is no agreed taxonomy for MCCs, with several terms used interchangeably and no agreed definition, resulting in up to three-fold variation in prevalence rates: from 16% to 58% in UK studies, 26% in US studies and 9.4% in Urban South Asians. Certain conditions cluster together more frequently than expected, with associations of up to three-fold, e.g. depression associated with stroke and with Alzheimer's disease, and communicable conditions such as TB and HIV/AIDS associated with diabetes and CVD, respectively. Clusters are important as they may be highly amenable to large improvements in health and cost outcomes through relatively simple shifts in healthcare delivery. Healthcare expenditures greatly increase, sometimes exponentially, with each additional chronic condition with greater specialist physician access, emergency department presentations and hospital admissions. The patient burden includes a deterioration of quality of life, out of pocket expenses, medication adherence, inability to work, symptom control and a high toll on carers. This high burden from MCCs is further projected to increase. Recommendations for interventions include reaching consensus on the taxonomy of MCC, greater emphasis on MCCs research, primary prevention to achieve compression of morbidity, a shift of health systems and policies towards a multiple-condition framework, changes in healthcare payment mechanisms to facilitate this change and shifts in health and epidemiological databases to include MCCs.

Patient attribution: why the method matters

OBJECTIVES

To assess the impact of 5 commonly used patient attribution methods on measured healthcare cost, quality, and utilization metrics within an integrated healthcare delivery system.

STUDY DESIGN

Cross-sectional analysis of administrative data of all patients attributed (by any of 5 methods) and/or paneled to a primary care provider (PCP) at Mayo Clinic Rochester (MCR) in 2011.

METHODS

We retrospectively applied 5 attribution methods to MCR administrative data from January 1, 2010, to December 31, 2011. MCR is an integrated healthcare delivery system serving primary care and referral populations. The referral practice is geographically colocated but otherwise distinct from 6 primary care practice sites that include pediatric, internal medicine, and family medicine groups. Patients attributed by each method were compared on their concordance with PCP empanelment, quality measures, healthcare utilization, and total costs of care.

RESULTS

The 5 methods attributed between 61,813 (42%) and 106,152 (72%) of paneled patients to a PCP at MCR, although not necessarily to the paneled PCP. There was marked variation in care utilization and total costs of care, but not quality measures, among patients attributed by the different methods and between those paneled versus not paneled. Patients with more primary care visits were more likely to be attributed by all methods.

CONCLUSIONS

Reliable identification of the physician-patient relationship is necessary for accurate evaluation of healthcare processes, efficiencies, and outcomes. Optimization and standardization of attribution methods are therefore essential as health systems, payers, and policy makers seek to evaluate and improve the value of delivered care.

Defining Multiple Chronic Conditions for Quality Measurement

BACKGROUND/OBJECTIVE

Patients with multiple chronic conditions (MCCs) are a critical but undefined group for quality measurement. We present a generally applicable systematic approach to defining an MCC cohort of Medicare fee-for-service beneficiaries that we developed for a national quality measure, risk-standardized rates of unplanned admissions for Accountable Care Organizations.

RESEARCH DESIGN

To define the MCC cohort we: (1) identified potential chronic conditions; (2) set criteria for cohort conditions based on MCC framework and measure concept; (3) applied the criteria informed by empirical analysis, experts, and the public; (4) described "broader" and "narrower" cohorts; and (5) selected final cohort with stakeholder input.

SUBJECTS

Subjects were patients with chronic conditions. Participants included 21.8 million Medicare fee-for-service beneficiaries in 2012 aged 65 years and above with ≥1 of 27 Medicare Chronic Condition Warehouse condition(s).

RESULTS

In total, 10 chronic conditions were identified based on our criteria; 8 of these 10 were associated with notably increased admission risk when co-occurring. A broader cohort (2+ of the 8 conditions) included 4.9 million beneficiaries (23% of total cohort) with an admission rate of 70 per 100 person-years. It captured 53% of total admissions. The narrower cohort (3+ conditions) had 2.2 million beneficiaries (10%) with 100 admissions per 100 person-years and captured 32% of admissions. Most stakeholders viewed the broader cohort as best aligned with the measure concept.

CONCLUSIONS

By systematically narrowing chronic conditions to those most relevant to the outcome and incorporating stakeholder input, we defined an MCC admission measure cohort supported by stakeholders. This approach can be used as a model for other MCC outcome measures.

Have out-of-pocket health care payments risen under free health care policy? The case of Sri Lanka

Compared to its neighbors, Sri Lanka performs well in terms of health. Health care is provided for free in the public sector, yet households' out-of-pocket health expenditures are steadily increasing. We explore whether this increase can be explained by supply shortages and insufficient public health care financing or whether it is rather the result of an income-induced demand for supplementary and higher quality services from the private sector. We focus on total health care expenditures and health care expenditures for specific services such as expenses on private outpatient treatments and expenses on laboratory and other diagnostic services. Overall, we find little indication that limited supply of public health care per se pushes patients into the private sector. Yet income is identified as one key driver of rising health care expenditures, ie, as households get richer, they spend an increasing amount on private services suggesting a dissatisfaction with the quality offered by the public sector. Hence, quality improvements in the public sector seem to be necessary to ensure sustainability of the public health care sector. If the rich and the middle class increasingly opt out of public health care, the willingness to pay taxes to finance the free health care policy will certainly shrink.

At the intersection of chronic disease, disability and health services research: A scoping literature review

BACKGROUND

There is a concerted effort underway to evaluate and reform our nation's approach to the health of people with ongoing or elevated needs for care, particularly persons with chronic conditions and/or disabilities.

OBJECTIVE

This literature review characterizes the current state of knowledge on the measurement of chronic disease and disability in population-based health services research on working age adults (age 18-64).

METHODS

Scoping review methods were used to scan the health services research literature published since the year 2000, including medline, psycINFO and manual searches. The guiding question was: "How are chronic conditions and disability defined and measured in studies of healthcare access, quality, utilization or cost?"

RESULTS

Fifty-five studies met the stated inclusion criteria. Chronic conditions were variously defined by brief lists of conditions, broader criteria-based lists, two or more (multiple) chronic conditions, or other constructs. Disability was generally assessed through ADLs/IADLs, functional limitations, activity limitations or program eligibility. A smaller subset of studies used information from both domains to identify a study population or to stratify it by subgroup.

CONCLUSIONS

There remains a divide in this literature between studies that rely upon diagnostically-oriented measures and studies that instead rely on functional, activity or other constructs of disability to identify the population of interest. This leads to wide ranging differences in population prevalence and outcome estimates. However, there is also a growing effort to develop methods that account for the overlap between chronic disease and disability and to "segment" this heterogeneous population into policy or practice relevant subgroups.

Self-Report of Aerobic Activity among Older African Americans with Multiple Chronic Conditions

Physical inactivity among older adults around the world is a growing concern. In the United States, older African Americans report high levels of physical inactivity, especially older African Americans with chronic conditions. This study examined the influence of chronic conditions on aerobic activity among a sample of community-dwelling, older African Americans with a self-reported diagnosis of type 2 diabetes and other chronic conditions, such as hypertension and arthritis. Findings indicate that regardless of age, the number of chronic conditions was a significant influence in self-report of aerobic activity. Successful self-management of type 2 diabetes and other chronic conditions may promote physical activity among sedentary older African Americans with multiple chronic conditions. Furthermore, research that considers a life course epidemiological approach are needed to enhance our understanding about the cumulative effects of MCC on physical activity among sedentary, older African Americans with MCC.

Multimorbidity and out-of-pocket expenditure on medicines: a systematic review

Background

Multimorbidity, the presence of two or more non-communicable diseases (NCD), is a costly and complex challenge for health systems globally. Patients with NCDs incur high levels of out-of-pocket expenditure (OOPE), often on medicines, but the literature on the association between OOPE on medicines and multimorbidity has not been examined systematically.

Methods

A systematic review was conducted via searching medical and economics databases including Ovid Medline, EMBASE, EconLit, Cochrane Library and the WHO Global Health Library from year 2000 to 2016. Study quality was assessed using Newcastle-Ottawa Scale. PROSPERO: CRD42016053538.

Findings

14 articles met inclusion criteria. Findings indicated that multimorbidity was associated with higher OOPE on medicines. When number of NCDs increased from 0 to 1, 2 and ≥3, annual OOPE on medicines increased by an average of 2.7 times, 5.2 times and 10.1 times, respectively. When number of NCDs increased from 0 to 1, 2, ≥2 and ≥3, individuals spent a median of 0.36% (IQR 0.15%–0.51%), 1.15% (IQR 0.62%–1.64%), 1.41% (IQR 0.86%–2.15%), 2.42% (IQR 2.05%–2.64%) and 2.63% (IQR 1.56%–4.13%) of mean annual household net adjusted disposable income per capita, respectively, on annual OOPE on medicines. More multimorbidities were associated with higher OOPE on medicines as a proportion of total healthcare expenditures by patients. Some evidence suggested that the elderly and low-income groups were most vulnerable to higher OOPE on medicines. With the same number of NCDs, certain combinations of NCDs yielded higher medicine OOPE. Non-adherence to medicines was a coping strategy for OOPE on medicines.

Conclusion

Multimorbidity of NCDs is increasingly costly to healthcare systems and OOPE on medicines can severely compromise financial protection and universal health coverage. It is crucial to recognise the need for better equity and financial protection, and policymakers should consider health system financial options, cost sharing policies and service patterns for those with NCD multimorbidities.

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.

Costs associated with Barrett's esophagus screening in the community: an economic analysis of a prospective randomized controlled trial of sedated versus hospital unsedated versus mobile community unsedated endoscopy

BACKGROUND AND AIMS

Data on the economic impact associated with screening for Barrett's esophagus (BE) are limited. As part of a comparative effectiveness randomized trial of unsedated transnasal endoscopy (uTNE) and sedated EGD (sEGD), we assessed costs associated with BE screening.

METHODS

Patients were randomly allocated to 3 techniques: sEGD or uTNE in a hospital setting (huTNE) versus uTNE in a mobile research van (muTNE). Patients were called 1 and 30 days after screening to assess loss of work (because of the screening procedure) and medical care sought after procedure. Direct medical costs were extracted from billing claims databases. Indirect costs (loss of work for subject and caregiver) were estimated using patient reported data. Statistical analyses including multivariable analysis accounting for comorbidities were conducted to compare costs.

RESULTS

Two hundred nine patients were screened (61 sEGD, 72 huTNE, and 76 muTNE). Thirty-day direct medical costs and indirect costs were significantly higher in the sEGD than the huTNE and muTNE groups. Total costs (direct medical + indirect costs) were also significantly higher in the sEGD than in the uTNE group. The muTNE group had significantly lower costs than the huTNE group. Adjustment for age, sex, and comorbidities on multivariable analysis did not change this conclusion.

CONCLUSIONS

Short-term direct, indirect, and total costs of screening are significantly lower with uTNE compared with sEGD. Mobile uTNE costs were lower than huTNE costs, raising the possibility of mobile screening as a novel method of screening for BE and esophageal adenocarcinoma.

The association between objective income and subjective financial need and depressive symptoms in South Koreans aged 60 and older

AIM

This study aimed to investigate the effect of the gap between objective income and subjective financial need on depressive symptoms in individuals aged 60 and older.

METHODS

Data from the 2011 and 2013 Korean Retirement and Income Study were used. A total of 4891 individuals aged 60 and older were included at baseline. The Generalized Estimating Equation model was used to examine the association between the gap in objective income and subjective financial need and the presence of depressive symptoms, which were measured using the Center for Epidemiological Studies Depression Scale.

RESULTS

Compared to individuals in the middle objective income-middle subjective financial need group, individuals in the low-low category (odds ratio (OR): 1.30, 95% confidence interval (CI): 1.04-1.61) and the low-middle category (OR: 1.26, 95%CI: 1.09-1.45) showed a statistically significant higher likelihood of having depressive symptoms. In contrast, participants in the middle-low (OR: 0.74, 95%CI: 0.54-0.99), high-low (OR: 0.50, 95%CI: 0.34-0.73), high-middle (OR: 0.74, 95%CI: 0.63-0.87), and high-high categories (OR: 0.74, 95%CI: 0.55-0.99) were less likely to exhibit depressive symptoms. Additionally, the lower likelihood of depressive symptoms found in middle- and high-income groups with lower levels of subjective financial need was strong among individuals with chronic disease.

CONCLUSIONS

Differences in the prevalence of depressive symptoms generally exist between individuals of the same income category depending on perceived income adequacy. Therefore, it is important to consider discrepancies in objective income and subjective financial need when assessing risk factors for depressive symptoms in older populations.

Longitudinal Heart Failure Medication Use and Adherence Following Left Ventricular Assist Device Implantation in Privately Insured Patients

BACKGROUND

There are few data describing the longitudinal use of and adherence to heart failure medications following left ventricular assist device (LVAD) implantation.

METHODS AND RESULTS

Using a large US commercial insurance database, patients who received an LVAD (International Classification of Diseases, 9th Revision, Clinical Modification code 37.66) and survived to hospital discharge without heart transplantation between January 1, 2006, and March 31, 2015, were identified. Heart failure medication use from 3 months before 1-year post-LVAD was examined using linked pharmacy claims. Differences in the proportion of patients taking heart failure medications post LVAD compared with pre LVAD were examined using McNemar test. Predictors of post-LVAD medication use and poor medication adherence (proportion of days covered <0.8) were identified via logistic regression. Among 362 patients (mean age, 57.4 years; 75.1% men), compared with pre LVAD, the proportion of patients taking anticoagulants and antiarrhythmics following LVAD increased; mineralocorticoid receptor antagonists, thiazide diuretics, and digoxin decreased; and β-blockers, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, and loop diuretics did not change. Pre-LVAD medication use was associated with post-LVAD use across all medication classes. The proportion of patients with poor medication adherence was 28.8%, 39.0%, and 36.0% for β-blockers, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, and anticoagulants, respectively. Many patients with poor adherence completely discontinued use of the medication.

CONCLUSIONS

Neurohormonal antagonist use after LVAD was inconsistent, perhaps reflecting uncertainty of therapeutic benefit in this population. Medication adherence post-LVAD was poor in many patients. Further work is needed to delineate the reasons for nonadherence after LVAD.

Complementary health insurance, out- of- pocket expenditures, and health services utilization: A population- based survey

Background: Studies have shown that people using complementary health insurances have more access to health services than others. In the present study, we aimed at finding the differences between out- of- pocket payments and health service utilizations in complementary health insurances (CHIs) users and nonusers. Methods: Propensity score matching was used to compare the 2 groups. First, confounder variables were identified, and then propensity score matching was used to compare out- of- pocket expenditures with dental, general physician, hospital inpatient, emergency services, nursing, midwifery, laboratory services, specialists and rehabilitation services utilization. Results: Our results revealed no significant differences between the 2 groups in out- of- pocket health expenditures. Also, the specialist visits, inpatient services at the hospital, and dental services were higher in people who used CHIs compared to nonusers. Conclusion: People did not change their budget share for health care services after using CHIs. The payments were equal for people who were not CHIs users due to the increase in the quantity of the services.

Predictors of Return Visits Among Insured Emergency Department Mental Health and Substance Abuse Patients, 2005-2013

INTRODUCTION

Our goal was to describe the pattern and identify risk factors of early-return ED visits or inpatient admissions following an index mental health and substance abuse (MHSA)-related ED visit in the United States.

METHODS

We performed a retrospective cohort study using Optum Labs Data Warehouse, a nationally representative database containing administrative claims data on privately insured and Medicare Advantage enrollees. Authors identified patients presenting to an ED with a primary diagnosis of MHSA between 2005 and 2013 who were discharged home. Study inclusion required continuous insurance enrollment for the 12 months preceding and the 31 days following the index ED visit. During the study period we included only the first ED visit for each patient.

RESULTS

A total of 49,672 (14.2%) had a return visit to the ED or had a hospitalization within 30 days following discharge. Mean time to the next ED visit or inpatient admission was 11.7 days. An increased age (age 65+ vs. age <18 years; OR 1.65, 95% CI [1.57 to 1.74]), chronic medical comorbidities (Hwang comorbidity 5+ vs 0; OR 1.31, 95% CI [1.27 to 1.35]), prior ED and inpatient utilization (4+ visits vs 0 visits; OR 5.59, 95% CI [5.41 to 5.78]) were associated with return visits within 30 days following discharge.

CONCLUSION

In an analysis of nearly 350,000 ED visits for MHSA, 14.2 % of patients returned to the ED or hospital within 30 days. This study identified a number of factors associated with return visits for acute care.

The Relationship Between Traumatic Injury in Children and Long-Term Use of Health and Social Services by Children and Their Families

To increase understanding of relationships between general traumatic injury in children and long-term use of resources in the health care and social services (HSS) sectors by these children and their families 8-10 years after traumatic injury. This study was a cross-sectional retrospective cohort study of prognosis from 2001 to 2003 that quantified recent expenditures on and use of HSS by children and also by their parents. Forty-eight cases of children were selected from the Hamilton Health Sciences pediatric trauma database in the period from January 2001 to December 2003 after incurring a traumatic injury with Injury Severity Score greater than 12. The average total cost to the HSS system per child's family was $4,326.62 during the preceding 6 months. During the same period, average use of HSS was 7 visits. Total service costs incurred by caregivers of injured children increased with severity of the traumatic injury (p= .009). Caregiver HSS use was higher when the injury was caused by a motor vehicle accident than by other types of accidents (p< .001) and increased with the injury severity (p< .001). HSS use by children was related to gender (p< .001), injury mechanism (p< .001), age at accident (p< .001), and time since accident (p= .012), among other factors. Pediatric trauma appears to have long-term effects on expenditures on and use of HSS by the affected children and their families. The findings emphasize the need for long-term assessment and possible delivery of services to the families of the injured children.

Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods

BACKGROUND AND OBJECTIVES

Labeling instances by domain experts for classification is often time consuming and expensive. To reduce such labeling efforts, we had proposed the application of active learning (AL) methods, introduced our CAESAR-ALE framework for classifying the severity of clinical conditions, and shown its significant reduction of labeling efforts. The use of any of three AL methods (one well known [SVM-Margin], and two that we introduced [Exploitation and Combination_XA]) significantly reduced (by 48% to 64%) condition labeling efforts, compared to standard passive (random instance-selection) SVM learning. Furthermore, our new AL methods achieved maximal accuracy using 12% fewer labeled cases than the SVM-Margin AL method. However, because labelers have varying levels of expertise, a major issue associated with learning methods, and AL methods in particular, is how to best to use the labeling provided by a committee of labelers. First, we wanted to know, based on the labelers' learning curves, whether using AL methods (versus standard passive learning methods) has an effect on the Intra-labeler variability (within the learning curve of each labeler) and inter-labeler variability (among the learning curves of different labelers). Then, we wanted to examine the effect of learning (either passively or actively) from the labels created by the majority consensus of a group of labelers.

METHODS

We used our CAESAR-ALE framework for classifying the severity of clinical conditions, the three AL methods and the passive learning method, as mentioned above, to induce the classifications models. We used a dataset of 516 clinical conditions and their severity labeling, represented by features aggregated from the medical records of 1.9 million patients treated at Columbia University Medical Center. We analyzed the variance of the classification performance within (intra-labeler), and especially among (inter-labeler) the classification models that were induced by using the labels provided by seven labelers. We also compared the performance of the passive and active learning models when using the consensus label.

RESULTS

The AL methods: produced, for the models induced from each labeler, smoother Intra-labeler learning curves during the training phase, compared to the models produced when using the passive learning method. The mean standard deviation of the learning curves of the three AL methods over all labelers (mean: 0.0379; range: [0.0182 to 0.0496]), was significantly lower (p=0.049) than the Intra-labeler standard deviation when using the passive learning method (mean: 0.0484; range: [0.0275-0.0724). Using the AL methods resulted in a lower mean Inter-labeler AUC standard deviation among the AUC values of the labelers' different models during the training phase, compared to the variance of the induced models' AUC values when using passive learning. The Inter-labeler AUC standard deviation, using the passive learning method (0.039), was almost twice as high as the Inter-labeler standard deviation using our two new AL methods (0.02 and 0.019, respectively). The SVM-Margin AL method resulted in an Inter-labeler standard deviation (0.029) that was higher by almost 50% than that of our two AL methods The difference in the inter-labeler standard deviation between the passive learning method and the SVM-Margin learning method was significant (p=0.042). The difference between the SVM-Margin and Exploitation method was insignificant (p=0.29), as was the difference between the Combination_XA and Exploitation methods (p=0.67). Finally, using the consensus label led to a learning curve that had a higher mean intra-labeler variance, but resulted eventually in an AUC that was at least as high as the AUC achieved using the gold standard label and that was always higher than the expected mean AUC of a randomly selected labeler, regardless of the choice of learning method (including a passive learning method). Using a paired t-test, the difference between the intra-labeler AUC standard deviation when using the consensus label, versus that value when using the other two labeling strategies, was significant only when using the passive learning method (p=0.014), but not when using any of the three AL methods.

CONCLUSIONS

The use of AL methods, (a) reduces intra-labeler variability in the performance of the induced models during the training phase, and thus reduces the risk of halting the process at a local minimum that is significantly different in performance from the rest of the learned models; and (b) reduces Inter-labeler performance variance, and thus reduces the dependence on the use of a particular labeler. In addition, the use of a consensus label, agreed upon by a rather uneven group of labelers, might be at least as good as using the gold standard labeler, who might not be available, and certainly better than randomly selecting one of the group's individual labelers. Finally, using the AL methods: when provided by the consensus label reduced the intra-labeler AUC variance during the learning phase, compared to using passive learning.

Burden of chronic illness and associated disabilities in Bangladesh: Evidence from the Household Income and Expenditure Survey

OBJECTIVE

The purpose of this study was to investigate the distribution of chronic illness and associated disability, out-of-pocket payment (OOPP), and other related factors using survey data from Bangladesh.

METHODS

This study analyzed Bangladesh Household Income and Expenditure Survey data that include socio-economic and demographic data, such as consumption, expenditures, and assets, along with information regarding chronic illness and disability. Multiple linear regression models were used to identify factors significantly associated with OOPP. Furthermore, a binary Logistic regression model was employed to assess the association of the explanatory variables with disability status.

RESULTS

A higher prevalence of chronic illness was found for those with chronic gastritis (18.70%), and 41.92% of the population had at least one side disability. The average OOPP healthcare expenditure for chronic illness was estimated to be US$7.59. Higher OOPP was found among the upper 2 wealth quintiles. Overall OOPP health expenditure was significantly higher among individuals with an associated disability (P < 0.001). The likelihood of having an associated disability was higher among those individuals with a lower education level (OR = 2.36, 95% CI: 1.95-4.06), those who not earning an income (OR = 2.85, 95% CI: 2.53-3.21), those who did not seek care (OR = 1.73, 95% CI: 1.57-1.90), those who sought care from a pharmacy (OR = 8.91, 95% CI: 7.38-10.74), and those in the lowest wealth quintile (OR = 7.21, 95% CI: 6.41-8.12).

CONCLUSIONS

The high OOPP illustrates the necessity of financial risk protection for the population at low socio-economic status. Therefore, we recommend that the government strengthen the healthcare system with appropriate support directed to the rural and elderly populations.