Health care expenditures for adults with multiple treated chronic conditions: estimates from the Medical Expenditure Panel Survey, 2009

Associations of Co-Occurring Chronic Conditions With Use of Rehabilitation Services in Older Adults With Back Pain: A Population-Based Cohort Study

OBJECTIVE

The objective was to examine the associations of number and type of chronic conditions with the use of rehabilitation services among older adults with bothersome back pain.

METHODS

We conducted a cohort study using the National Health and Aging Trends Study, a longitudinal survey of Medicare beneficiaries ≥65 years. We included community-dwelling older adults with bothersome back pain in 2015. We assessed 12 self-reported chronic conditions, including arthritis, depression, and anxiety. We used 2016 data to ascertain self-reported use of any rehabilitation services in the prior year. We used weighted, logistic regression to examine the association of conditions with rehabilitation use.

RESULTS

The sample size was 2443. A majority were age ≥75 years (59%); female (62%); and White, non-Hispanic (71%). The median number of chronic conditions was 3 (interquartile range, 2-4). Arthritis was the most common chronic condition (73%); 14% had anxiety; and 16% had depression. For every additional chronic condition, adjusted odds of any rehabilitation use increased 21% (Odds Ratio = 1.21, 95% CI = 1.11-1.31). Those with ≥4 chronic conditions had 2.13 times higher odds (95% CI = 1.36-3.34) of any rehabilitation use in the next year versus those with 0-1 condition. Participants with arthritis had 1.96 times higher odds (95% CI = 1.41-2.72) of any rehabilitation use versus those without arthritis. Anxiety and depression were not significantly associated with rehabilitation use.

CONCLUSIONS

Among older adults with back pain, a greater number of chronic conditions and arthritis were associated with higher use of rehabilitation services. Those with anxiety or depression had no difference in their use of rehabilitation care versus those without these conditions.

IMPACT

This pattern suggests appropriate use of rehabilitation for patients with back pain and multiple chronic conditions based on greater need, but there may be potential underuse for those with back pain and psychological conditions.

Exploration of the Determinants of Subjective Health and Depression Using Korean Longitudinal Study of Aging Data

Aging is an imperative issue in Korean society, and a healthy life is important for a better quality of life for older adults. Therefore, the purpose of this research was to investigate the determinants of subjective health and depression in middle-aged and elderly Korean individuals. This study used three attributes as the determinants of subjective health and depression, including the curve linear effect of medical expenses and eating-out expenses and the linear impact of regular exercise. We utilized the Korean Longitudinal Study of Aging (KLOSA) to determine the associations between five attributes: subjective health, depression, medical expenses, eating-out expenses, and regular exercise. Research panel data were employed as the data source. The study period was between 2018 and 2020. This research implemented various multiple linear panel regression econometric analysis instruments: ordinary least squares, random effects, and fixed effects. The mean age of survey participants was 72.10 years, and 35 percent of participants were female. The number of observations for data analysis was 7197. The results revealed that medical and eating-out expenses had a curved linear effect on subjective health and depression. Moreover, regular exercise positively affected subjective health and resulted in less depression. These findings may inform policy decisions that promote regular exercise and manage medical and eating-out expenses, thereby enhancing subjective health and mitigating depression.

Remnant cholesterol and risk of incident hypertension: a population-based prospective cohort study

Remnant cholesterol (RC) has been associated with atherosclerotic cardiovascular disease, but its relationship with hypertension remains unclear. This prospective cohort study aimed to investigate the association between RC and subsequent hypertension risk. Data from the UK Biobank, comprising 295,062 participants initially free of hypertension, were analyzed. Cox proportional hazards regression assessed the association between RC quartiles and hypertension risk. Discordance analysis evaluated the risk of hypertension in discordant/concordant groups of RC and low-density lipoprotein cholesterol (LDL-C) using the difference in percentile units (>10 units). Restricted cubic spline curves were used to model the relationship between RC and hypertension risk. The mean ± SD age of participants was 55.1 ± 8.1 years, with 40.6% being men and 94.7% White. During a median follow-up of 12.8 years, 39,038 participants developed hypertension. Comparing extreme quartiles of RC, the hazard ratio (HR) for incident hypertension was 1.20 (95% CI: 1.17-1.24). After adjusting for traditional risk factors, each 1 mmol/L increase in RC levels was associated with a 27% higher risk of incident hypertension (HR: 1.27; 95% CI: 1.23-1.31). The discordant group with high RC/low LDL-C exhibited a higher risk of incident hypertension compared to the concordant group (HR: 1.06; 95% CI: 1.03-1.09). Spline curves further demonstrated a positive association between RC and the risk of incident hypertension. We concluded that elevated RC emerged as an independent risk factor of incident hypertension, extending beyond traditional risk factors. Monitoring RC levels and implementing interventions to lower RC may have potential benefits in preventing hypertension.

Healthcare on the brink: navigating the challenges of an aging society in the United States

The US healthcare system is at a crossroads. With an aging population requiring more care and a strained system facing workforce shortages, capacity issues, and fragmentation, innovative solutions and policy reforms are needed. This paper aims to spark dialogue and collaboration among healthcare stakeholders and inspire action to meet the needs of the aging population. Through a comprehensive analysis of the impact of an aging society, this work highlights the urgency of addressing this issue and the importance of restructuring the healthcare system to be more efficient, equitable, and responsive.

Socioeconomic Status and Chronic Health Conditions in Asian Survivors of Adolescent and Young Adult Cancers

Purpose: While there are known disparities in socioeconomic status (SES) and health outcomes among racially and ethnically minoritized adolescent and young adult (AYA; ages 15-39 years at diagnosis) cancer survivors compared with White survivors, outcomes in the Asian survivor population are understudied. To better understand the association of an AYA cancer diagnosis with SES and health outcomes within a minoritized population, the current study makes comparisons between individuals of the same race or ethnicity with and without a history of AYA cancer. Methods: Non-Hispanic, Asian AYA cancer survivors and non-Hispanic, Asian age- and sex-matched controls were identified from self-reported data in the National Health Interview Survey (2009-2020). Prevalence of chronic health conditions and socioeconomic factors were compared between groups using chi-square tests. Odds of chronic conditions by SES factors were determined within and between survivors and controls using logistic regression methods. Results: One hundred and thirty-one survivors and 1310 controls were included. Survivors were less likely to be married compared with controls; however, there were no differences in other SES factors examined. Survivors had higher odds of at least one chronic condition diagnosis (odds ratio = 4.17, p < 0.001) compared with controls. Of the chronic conditions assessed, survivors had higher odds of arthritis, pulmonary disease, and hypertension compared with controls. Conclusions: Asian AYA cancer survivors are at increased risk of chronic health conditions compared with Asian individuals without a cancer history. Culturally adapted targeted interventions are needed to improve health outcomes for this population.

Using the Functional Comorbidity Index with administrative workers' compensation data: Utility, validity, and caveats

BACKGROUND

Chronic health conditions impact worker outcomes but are challenging to measure using administrative workers' compensation (WC) data. The Functional Comorbidity Index (FCI) was developed to predict functional outcomes in community-based adult populations, but has not been validated for WC settings. We assessed a WC-based FCI (additive index of 18 conditions) for identifying chronic conditions and predicting work outcomes.

METHODS

WC data were linked to a prospective survey in Ohio (N = 512) and Washington (N = 2,839). Workers were interviewed 6 weeks and 6 months after work-related injury. Observed prevalence and concordance were calculated; survey data provided the reference standard for WC data. Predictive validity and utility for control of confounding were assessed using 6-month work-related outcomes.

RESULTS

The WC-based FCI had high specificity but low sensitivity and was weakly associated with work-related outcomes. The survey-based FCI suggested more comorbidity in the Ohio sample (Ohio mean = 1.38; Washington mean = 1.14), whereas the WC-based FCI suggested more comorbidity in the Washington sample (Ohio mean = 0.10; Washington mean = 0.33). In the confounding assessment, adding the survey-based FCI to the base model moved the state effect estimates slightly toward null (<1% change). However, substituting the WC-based FCI moved the estimate away from null (8.95% change).

CONCLUSIONS

The WC-based FCI may be useful for identifying specific subsets of workers with chronic conditions, but less useful for chronic condition prevalence. Using the WC-based FCI cross-state appeared to introduce substantial confounding. We strongly advise caution-including state-specific analyses with a reliable reference standard-before using a WC-based FCI in studies involving multiple states.

The association between chronic conditions, COVID-19 infection, and food insecurity among the older US adults: findings from the 2020-2021 National Health Interview Survey

BACKGROUND

This study aims to examine how the presence of chronic conditions or positive COVID-19 infection (as exposures) is related to food insecurity (as an outcome) in the older population and whether there is a dose-response relationship between the number of chronic conditions and the severity of food insecurity.

METHODS

Cross-sectional data of 17,977 older adults (≥ 65 years) from the 2020-2021 National Health Interview Survey were analyzed. Chronic conditions included physical health conditions (i.e., arthritis, coronary heart diseases, hypertension, stroke, prediabetes, diabetes, asthma, chronic obstructive pulmonary disease, and disability) and mental health conditions (i.e., anxiety and depression disorder). COVID-19 infection status was determined by a self-reported diagnosis of COVID-19. Household food insecurity was measured using the 10-item US Department of Agriculture (USDA) Food Security Survey Module with a 30-day look-back window. Multinomial logistic regression models were used to examine the association between health conditions and food insecurity controlling for socio-demographic factors.

RESULTS

Our results indicated that 4.0% of the older adults lived in food-insecure households. The presence of chronic conditions was significantly associated with higher odds of being food insecure independent of socio-demographic factors (AOR ranged from 1.17 to 3.58, all p < 0.0001). Compared with participants with 0-1 chronic condition, the odds of being (low or very low) food insecure was 1.09 to 4.07 times higher for those with 2, or ≥ 3 chronic conditions (all p < 0.0001). The severity of food insecurity significantly increased as the number of chronic conditions increased (p for trend < 0.0001). Besides, COVID-infected participants were 82% more likely to be very low food secure than the non-infected participants (AOR = 1.82, 95% CI: 1.80, 1.84).

CONCLUSIONS

The presence of chronic conditions or positive COVID-infection is independently associated with household food insecurity. Clinical health professionals may help identify and assist individuals at risk of food insecurity. Management and improvement of health conditions may help reduce the prevalence and severity of food insecurity in the older population.

Effect of continuity of care on emergency department and hospital visits for obesity-associated chronic conditions: A federated cohort meta-analysis

BACKGROUND

Obesity-associated chronic conditions (OCC) are prevalent in medically underserved areas of the Southern US. Continuity of care with a primary care provider is associated with reduced preventable healthcare utilization, yet little is known regarding the impact of continuity of care among populations with OCC. This study aimed to examine whether continuity of care protects patients living with OCC and the subgroup with type 2 diabetes (OCC+T2D) from emergency department (ED) and hospitalizations, and whether these effects are modified by race and patient residence in health professional shortage areas (HPSA) METHODS: We conducted a retrospective federated cohort meta-analysis of 2015-2018 data from four large practice-based research networks in the Southern U.S. among adult patients with obesity and one more more additional diagnosed OCC. The outcomes included overall and preventable ED visits and hospitalizations. Continuity of care was assessed at the clinic-level using the Bice-Boxerman Continuity of Care Index RESULTS: A total of 111,437 patients with OCC and 47,071 patients with OCC+T2D from the four large practice-based research networks in the South were included in the meta-analysis. Continuity of Care index varied among sites from a mean (SD) of 0.6 (0.4) to 0.9 (0.2). Meta-analysis demonstrated that, regardless of race or residence in HPSA, continuity of care significantly protected OCC patients from preventable ED visits (IRR:0.95; CI:0.92-0.98) and protected OCC+T2D patients from overall ED visits (IRR:0.92; CI:0.85-0.99), preventable ED visits (IRR:0.95; CI:0.91-0.99), and overall hospitalizations (IRR:0.96; CI:0.93-0.98) CONCLUSION: Improving continuity of care may reduce ED and hospital use for patients with OCC and particularly those with OCC+T2D.

The importance of chronic conditions for potentially avoidable hospitalizations among non-Hispanic Black and non-Hispanic White older adults in the US: a cross-sectional observational study

Background

Non-Hispanic (NH) Black older adults experience substantially higher rates of potentially avoidable hospitalization compared to NH White older adults. This study explores the top three chronic conditions preceding hospitalization and potentially avoidable hospitalization among NH White and NH Black Medicare beneficiaries in the United States.

Methods

Data on 4993 individuals (4,420 NH White and 573 NH Black individuals) aged ≥ 65 years from 2014 Medicare claims were linked with sociodemographic data from previous rounds of the Health and Retirement Study. Conditional inference random forests were used to rank the importance of chronic conditions in predicting hospitalization and potentially avoidable hospitalization separately for NH White and NH Black beneficiaries. Multivariable logistic regression with the top three chronic diseases for each outcome adjusted for sociodemographic characteristics were conducted to quantify the associations.

Results

In total, 22.1% of NH White and 24.9% of NH Black beneficiaries had at least one hospitalization during 2014. Among those with hospitalization, 21.3% of NH White and 29.6% of NH Black beneficiaries experienced at least one potentially avoidable hospitalization. For hospitalizations, chronic kidney disease, heart failure, and atrial fibrillation were the top three contributors among NH White beneficiaries and acute myocardial infarction, chronic obstructive pulmonary disease (COPD), and chronic kidney disease were the top three contributors among NH Black beneficiaries. These chronic conditions were associated with increased odds of hospitalization for both groups. For potentially avoidable hospitalizations, asthma, COPD, and heart failure were the top three contributors among NH White beneficiaries and fibromyalgia/chronic pain/fatigue, COPD, and asthma were the top three contributors among NH Black beneficiaries. COPD and heart failure were associated with increased odds of potentially avoidable hospitalization among NH White beneficiaries, whereas only COPD was associated with increased odds of potentially avoidable hospitalizations among NH Black beneficiaries.

Conclusion

Having at least one hospitalization and at least one potentially avoidable hospitalization was more prevalent among NH Black than NH White Medicare beneficiaries. This suggests greater opportunity for increasing prevention efforts among NH Black beneficiaries. The importance of COPD for potentially avoidable hospitalizations further highlights the need to focus on prevention of exacerbations for patients with COPD, possibly through greater access to primary care and continuity of care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07849-y.

Analysis of multiple chronic disease characteristics in South Koreans by age groups using association rules analysis

The prevalence of MCD (multiple chronic disease) is increasing due to increased life expectancies and aging populations. Individual and socioeconomic burdens of MCD are also increasing. To reduce these burdens, it is necessary to establish policies to prevent MCD; therefore, it is important to understand the characteristics of MCD in the current population. In this study, the combinations of MCD that affect hypertension, which has the highest prevalence, were examined according to different age groups. The combinations of diseases were identified utilizing association rules analysis, using the Community Health Survey as the raw data. Two association rules were determined in young adult group, 18 in the middle-aged group, and 30 in the senior group, showing that the number of rules increases with age. Association rules of this study mean that combined chronic diseases are highly associated with hypertension. Then logistic regression analysis was performed on the MCD combinations with highest lift value in each age group to identify relationships between health behavior and MCD combinations. Especially, alcohol consumption was found to be a common factor affecting MCD prevalence in three combinations. On the contrary, sleep habit did not have a statistically significant influence on any combination.

Cultivating informatics capacity for multimorbidity: A learning health systems use case

Background

The aim of this study was to characterize patterns of multimorbidity across patients and identify opportunities to strengthen the informatics capacity of learning health systems that are used to characterize multimorbidity across patients.

Methods

Electronic health record (EHR) data on 225,710 multimorbidity patients were extracted from the Arkansas Clinical Data Repository as a use case. Hierarchical cluster analysis identified the most frequently occurring combinations of chronic conditions within the learning health system's captured data.

Results

Results revealed multimorbidity was highest among patients ages 60 to 74, Caucasians, females, and Medicare payors. The largest numbers of chronic conditions occurred in the smallest numbers of patients (i.e., 70,262 (31%) patients with two conditions, two (<1%) patients with 22 chronic conditions). The results revealed urgent needs to improve EHR systems and processes that collect and manage multimorbidity data (e.g., creating new, multimorbidity-centric data elements in EHR systems, detailed longitudinal tracking of compounding disease diagnoses).

Conclusions

Without additional capacity to collect and aggregate large-scale data, multimorbidity patients cannot benefit from the recent advancements in informatics (i.e., clinical data registries, emerging data standards) that are abundantly working to improve the outcomes of patients with single chronic conditions. Additionally, robust socio-technical system studies of clinical workflows are needed to assess the feasibility of integrating the collection of risk factor data elements (i.e., psycho-social, cultural, ethnic, and socioeconomic attributes of populations) into primary care encounters. These approaches to advancing learning health systems for multimorbidity could substantially reduce the constraints of current technologies, data, and data-capturing processes.

Associations of Multiple Chronic Conditions With Physical Performance and Falls Among Older Adults With Back Pain: A Longitudinal, Population-based Study

OBJECTIVE

To determine the association of chronic conditions measured at baseline with physical performance and falls over time among older adults with back pain. We examined both number and type (depression, anxiety, arthritis) of chronic conditions.

DESIGN

Retrospective cohort study.

SETTING

National Health and Aging Trends Study.

PARTICIPANTS

A total of 2438 community-dwelling Medicare beneficiaries aged ≥65 years with bothersome back pain (N=2438). The sample was mostly female (62%; 95% confidence interval [CI], 59%-64%) and aged 65-74 years (56%; 95% CI, 53%-58%).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Short Physical Performance Battery (SPPB) (range, 0-12, lower indicates worse function) and recurrent falls measured annually over 6 years.

RESULTS

Multiple chronic conditions were highly prevalent (82%; 95% CI, 79%-84%) among those reporting back pain. Adjusted regressions using survey weights with Taylor series linearization method and containing interaction terms for comorbidity and time showed having 2-3 chronic conditions vs 0-1 was associated with lower SPPB scores, and differences grew over time (for example 0.61 points lower [95% CI, -0.88 to -0.34] and 1.22 points lower [95% CI, -1.76 to -0.67] in rounds 3 and 6, respectively). Having ≥4 chronic conditions was associated with lower SPPB scores at all time points vs 0-1 (point estimate range, -1.72 to -2.31). Arthritis alone; the combination of arthritis with depression; and the triad of arthritis, depression, and anxiety were associated with lower SPPB scores at all time points. Logistic regression models showed presence of 2-3 and ≥4 chronic conditions was associated with increased odds of recurrent falls in any given year (odds ratio, 1.91; 95% CI, 1.35-2.69 and odds ratio, 3.92; 95% CI, 2.81-5.46, respectively). Those with the triad of arthritis, depression, and anxiety had greater odds of recurrent falls vs none or 1 condition.

CONCLUSIONS

Among older adults with back pain, those with multiple chronic conditions, including co-occurrence of arthritis, depression, and anxiety, have greater risk for poor physical functioning and falls over time.

Subgroups of High-Risk Veterans Affairs Patients Based on Social Determinants of Health Predict Risk of Future Hospitalization

OBJECTIVE

Population segmentation has been recognized as a foundational step to help tailor interventions. Prior studies have predominantly identified subgroups based on diagnoses. In this study, we identify clinically coherent subgroups using social determinants of health (SDH) measures collected from Veterans at high risk of hospitalization or death.

STUDY DESIGN AND SETTING

SDH measures were obtained for 4684 Veterans at high risk of hospitalization through mail survey. Eleven self-report measures known to impact hospitalization and amenable to intervention were chosen a priori by the study team to identify subgroups through latent class analysis. Associations between subgroups and demographic and comorbidity characteristics were calculated through multinomial logistic regression. Odds of 180-day hospitalization were compared across subgroups through logistic regression.

RESULTS

Five subgroups of high-risk patients emerged-those with: minimal SDH vulnerabilities (8% hospitalized), poor/fair health with few SDH vulnerabilities (12% hospitalized), social isolation (10% hospitalized), multiple SDH vulnerabilities (12% hospitalized), and multiple SDH vulnerabilities without food or medication insecurity (10% hospitalized). In logistic regression, the "multiple SDH vulnerabilities" subgroup had greater odds of 180-day hospitalization than did the "minimal SDH vulnerabilities" reference subgroup (odds ratio: 1.53, 95% confidence interval: 1.09-2.14).

CONCLUSION

Self-reported SDH measures can identify meaningful subgroups that may be used to offer tailored interventions to reduce their risk of hospitalization and other adverse events.

Development and Testing of Compatible Diagnosis Code Lists for the Functional Comorbidity Index: International Classification of Diseases, Ninth Revision, Clinical Modification and International Classification of Diseases, 10th Revision, Clinical Modification

BACKGROUND

The Functional Comorbidity Index (FCI) was developed for community-based adult populations, with function as the outcome. The original FCI was a survey tool, but several International Classification of Diseases (ICD) code lists-for calculating the FCI using administrative data-have been published. However, compatible International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and ICD-10-CM versions have not been available.

OBJECTIVE

We developed ICD-9-CM and ICD-10-CM diagnosis code lists to optimize FCI concordance across ICD lexicons.

RESEARCH DESIGN

We assessed concordance and frequency distributions across ICD lexicons for the FCI and individual comorbidities. We used length of stay and discharge disposition to assess continuity of FCI criterion validity across lexicons.

SUBJECTS

State Inpatient Databases from Arizona, Colorado, Michigan, New Jersey, New York, Utah, and Washington State (calendar year 2015) were obtained from the Healthcare Cost and Utilization Project. State Inpatient Databases contained ICD-9-CM diagnoses for the first 3 calendar quarters of 2015 and ICD-10-CM diagnoses for the fourth quarter of 2015. Inpatients under 18 years old were excluded.

MEASURES

Length of stay and discharge disposition outcomes were assessed in separate regression models. Covariates included age, sex, state, ICD lexicon, and FCI/lexicon interaction.

RESULTS

The FCI demonstrated stability across lexicons, despite small discrepancies in prevalence for individual comorbidities. Under ICD-9-CM, each additional comorbidity was associated with an 8.9% increase in mean length of stay and an 18.5% decrease in the odds of a routine discharge, compared with an 8.4% increase and 17.4% decrease, respectively, under ICD-10-CM.

CONCLUSION

This study provides compatible ICD-9-CM and ICD-10-CM diagnosis code lists for the FCI.

Factors Contributing to the Rising National Cost of Glucose-Lowering Medicines for Diabetes During 2005-2007 and 2015-2017

OBJECTIVE

We examined changes in glucose-lowering medication spending and quantified the magnitude of factors that are contributing to these changes.

RESEARCH DESIGN AND METHODS

Using the Medical Expenditure Panel Survey, we estimated the change in spending on glucose-lowering medications during 2005-2007 and 2015-2017 among adults aged ≥18 years with diabetes. We decomposed the increase in total spending by medication groups: for insulin, by human and analog; and for noninsulin, by metformin, older, newer, and combination medications. For each group, we quantified the contributions by the number of users and cost-per-user. Costs were in 2017 U.S. dollars.

RESULTS

National spending on glucose-lowering medications increased by $40.6 billion (240%), of which insulin and noninsulin medications contributed $28.6 billion (169%) and $12.0 billion (71%), respectively. For insulin, the increase was mainly associated with higher expenditures from analogs (156%). For noninsulin, the increase was a net effect of higher cost for newer medications (+88%) and decreased cost for older medications (-34%). Most of the increase in insulin spending came from the increase in cost-per-user. However, the increase in the number of users contributed more than cost-per-user in the rise of most noninsulin groups.

CONCLUSIONS

The increase in national spending on glucose-lowering medications during the past decade was mostly associated with the increased costs for insulin, analogs in particular, and newer noninsulin medicines, and cost-per-user had a larger effect than the number of users. Understanding the factors contributing to the increase helps identify ways to curb the growth in costs.

Continuity of Care for Patients with Obesity-Associated Chronic Conditions: Protocol for a Multisite Retrospective Cohort Study

BACKGROUND

Obesity affects nearly half of adults in the United States and is contributing substantially to a pandemic of obesity-associated chronic conditions such as type 2 diabetes, hypertension, and arthritis. The obesity-associated chronic condition pandemic is particularly severe in low-income, medically underserved, predominantly African-American areas in the southern United States. Little is known regarding the impact of geographic, income, and racial disparities in continuity of care on major health outcomes for patients with obesity-associated chronic conditions.

OBJECTIVE

The aim of this study is to assess, among patients with obesity-associated chronic conditions, and within this group, patients with type 2 diabetes, (1) whether continuity of care is associated with lower overall and potentially preventable emergency department and hospital utilization, (2) the effect of geographic, income, and racial disparities on continuity of care and on health care utilization, (3) whether continuity of care particularly protects individuals at risk for disparities from adverse health outcomes, and (4) whether characteristics of health systems are associated with higher continuity of care and better outcomes.

METHODS

Using 2015-2018 data from 4 practice-based research networks participating in the Southern Obesity and Diabetes Coalition, we will conduct a retrospective cohort analysis and distributed meta-analysis. Patients with obesity-associated chronic conditions and with type 2 diabetes will be assessed within each health system, following a standardized study protocol. The primary study outcomes are overall and preventable emergency department visits and hospitalizations. Continuity of care will be calculated at the facility level using a modified version of the Bice-Boxerman continuity of care index. Race will be assessed using electronic medical record data. Residence in a low-income area or a health professional shortage area respectively will be assessed by linking patient residence ZIP codes to the Centers for Medicare & Medicaid Services database.

RESULTS

In 4 regional health systems across Tennessee, Mississippi, Louisiana, and Arkansas, a total of 53 adult hospitals were included in the study. A total of 147,889 patients with obesity-associated chronic conditions who met study criteria were identified in these health systems, of which 45,453 patients met the type 2 diabetes criteria for inclusion. Results are expected by the end of 2020.

CONCLUSIONS

This study should reveal whether health system efforts to increase continuity of care for patients with obesity and diabetes have potential to improve outcomes and reduce costs. Analyzing disparities in continuity of care and their effect on major health outcomes can help demonstrate how to improve care and use of health care resources for vulnerable patients with obesity-associated chronic conditions, and within this group, patients with type 2 diabetes. Better understanding of the association between continuity and health care utilization for these vulnerable populations will contribute to the development of higher-value health systems in the southern United States.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/20788.

Enhanced care planning and clinical-community linkages versus usual care to address basic needs of patients with multiple chronic conditions: a clinician-level randomized controlled trial

Background

Many patients with poorly controlled multiple chronic conditions (MCC) also have unhealthy behaviors, mental health challenges, and unmet social needs. Medical management of MCC may have limited benefit if patients are struggling to address their basic life needs. Health systems and communities increasingly recognize the need to address these issues and are experimenting with and investing in new models for connecting patients with needed services. Yet primary care clinicians, whose regular contact with patients makes them more familiar with patients’ needs, are often not included in these systems.

Methods

We are starting a clinician-level cluster-randomized controlled trial to evaluate how primary care clinicians can participate in these community and hospital solutions and whether doing so is effective in controlling MCC. Sixty clinicians in the Virginia Ambulatory Care Outcomes Research Network will be matched by age and sex and randomized to usual care (control condition) or enhanced care planning with clinical-community linkage support (intervention). From the electronic health record we will identify all patients with MCC, including cardiovascular disease or risks, diabetes, obesity, or depression. A baseline assessment will be mailed to up to 50 randomly selected patients for each clinician (3000 total). Ten respondents per clinician (600 patients total) with uncontrolled MCC will be randomly selected for study inclusion, with oversampling of minorities. The intervention includes two components. First, we will use an enhanced care planning tool, My Own Health Report (MOHR), to screen patients for health behavior, mental health, and social needs. Patients will be supported by a patient navigator, who will help patients prioritize needs, create care plans, and write a personal narrative to guide the care team. Patients will update care plans every 1 to 2 weeks. Second, we will create community-clinical linkage to help address patients’ needs. The linkage will include community resource registries, personnel to span settings (patient navigators and a community health worker), and care team coordination across team members through MOHR.

Discussion

This study will help inform efforts by primary care clinicians to help address unhealthy behaviors, mental health needs, and social risks as a strategy to better control MCC.

Trial registration

ClinicalTrials.gov: NCT03885401. Registered on 19 September 2019.

Prevalence of Multimorbidity among Asian Indian, Chinese, and Non-Hispanic White Adults in the United States

Asian Americans are the fastest-growing minority group in the United States, yet little is known about their multimorbidity. This study examined the association of Asian Indians, Chinese and non-Hispanic whites (NHWs) to multimorbidity, defined as the concurrent presence of two or more chronic conditions in the same individual. We used a cross-sectional design with data from the National Health Interview Survey (2012–2017) of Asian Indians, Chinese, and NHWs (N = 132,666). Logistic regressions were used to examine the adjusted association of race/ethnicity to multimorbidity. There were 1.9% Asian Indians, 1.8% Chinese, and 96.3% NHWs. In unadjusted analyses (p < 0.001), 17.1% Asian Indians, 17.9% Chinese, and 39.0% NHWs had multimorbidity. Among the dyads, high cholesterol and hypertension were the most common combination of chronic conditions among Asian Indians (32.4%), Chinese (41.0%), and NHWs (20.6%). Asian Indians (AOR = 0.73, 95% CI = (0.61, 0.89)) and Chinese (AOR = 0.63, 95% CI = (0.53, 0.75)) were less likely to have multimorbidity compared to NHWs, after controlling for age, sex, and other risk factors. However, Asian Indians and Chinese were more likely to have high cholesterol and hypertension, risk factors for diabetes and heart disease.

Prevalence of multiple chronic conditions by U.S. state and territory, 2017

Having multiple (two or more) chronic conditions (MCC) is associated with an increased risk of mortality and functional decline, health resource utilization, and healthcare expenditures. As a result, understanding the prevalence of MCC is increasingly being recognized as a public health imperative. This research describes the prevalence and distribution of adults with MCC across the United States using 2017 data from the Behavioral Risk Factors Surveillance System (BRFSS). Prevalence of MCC was calculated for each U.S. state and territory overall, by sex and by age. Additionally, the most common condition dyads (two condition combinations) and triads (three condition combinations) were assessed for each state. Prevalence of MCC ranged from 37.9% in the District of Columbia to 64.4% in West Virginia. Females had a higher prevalence than males in 47 of 53 states and territories, and MCC prevalence increased with age in every state and territory. Overall prevalence estimates were higher than estimates using data from the National Health Interview Survey (NHIS), especially in the younger population (aged 18–44), due partly to the inclusion of high cholesterol, obesity, and depression as chronic conditions. Analysis of the most prevalent dyads and triads revealed the greatest state-by-state variability in the 18-44-year-old population. Multiple states’ most prevalent dyads and triads for this population included obesity and depression. These findings build an accurate picture of the prevalence of multiple chronic conditions across the United States and will aid public health officials in creating programs targeted to their region.

An Adaptive, Contextual, Technology-Aided Support (ACTS) System for Chronic Illness Self-Management

Policy Points Fundamental changes are needed in how complex chronic illness conditions are conceptualized and managed. Health management plans for chronic illness need to be integrated, adaptive, contextual, technology aided, patient driven, and designed to address the multilevel social environment of patients' lives. Such primary care-based health management plans are feasible today but will be even more effective and sustainable if supported by systems thinking, technological advances, and policies that create and reinforce home, work, and health care collaborations.

CONTEXT

The current health care system is failing patients with chronic illness, especially those with complex comorbid conditions and social determinants of health challenges. The current system combined with unsustainable health care costs, lack of support for primary care in the United States, and aging demographics create a frightening probable future.

METHODS

Recent developments, including integrated behavioral health, community resources to address social determinants, population health infrastructure, patient-centered digital-health self-management support, and complexity science have the potential to help address these alarming trends. This article describes, first, the opportunity to integrate these trends and, second, a proposal for an integrated, patient-directed, adaptive, contextual, and technology-aided support (ACTS) system, based on a patient's life context and home/primary care/work-setting "support triangle."

FINDINGS

None of these encouraging trends is a panacea, and although most have been described previously, they have not been integrated. Here we discuss an example of integration using these components and how our proposed model (termed My Own Health Report) can be applied, along with its strengths, limitations, implications, and opportunities for practice, policy, and research.

CONCLUSIONS

This ACTS system builds on and extends the current chronic illness management approaches. It is feasible today and can produce even more dramatic improvements in the future.

Identifying Preferences for Everyday Living in Home Health Care: Recommendations From an Expert Panel

Research needs to further understand care preferences in home health care. The present quality improvement (QI) study convened an expert panel with key stakeholders. Methods included a modified Delphi card sort to (1) rank the Preferences for Everyday Living Inventory (PELI) categories from most to least important, and (2) select one PELI item from each category most relevant to the setting. The purpose was to determine which items from the Preferences for Everyday Living Inventory nursing home residents (PELI-NH) were most salient to home health care. Categories selected as most important were Health Care Decision Making and Who Delivers Care. Differences were seen across item and preference categories based on stakeholder groups. Results highlight the potential for incorporating the PELI into home health care practice, and the need for additional research.

Prevalence of multiple chronic conditions in New York State, 2011-2016

Introduction

To design effective policy and interventions, public health officials must have an accurate and granular picture of the state of multiple chronic conditions (MCC) in their region. The objective of this research is to describe the prevalence and distribution of MCC in New York State.

Methods

We performed a secondary data analysis of the Behavioral Risk Factor Surveillance System (BRFSS) from 2011 through 2016 for New York adults (n = 76,186). We analyzed the self-reported prevalence of individuals having 0, 1, 2, or ≥ 3 chronic conditions by sex, race/ethnicity, age, health insurance type, annual household income, and whether respondents lived in New York City. We also examined the most common condition dyads and triads. Finally, we assessed the prevalence of MCC (2 or more chronic conditions) by county across New York State, and neighborhood within New York City.

Results

During 2011–2016, 25.2% of adults in New York State had zero chronic conditions, 24.1% had 1 condition, 18.4% had 2 conditions, and 32.4% had 3 or more. The most prevalent dyad was hypertension and high cholesterol in 17.0% of individuals. The most prevalent triad was hypertension, high cholesterol, and arthritis in 4.5% of individuals. County prevalence of MCC ranged from 42.6% in Westchester County to 66.1% in Oneida County. The prevalence of MCC in New York City neighborhoods ranged from 33.5% in Gramercy Park—Murray Hill to 60.6% in High Bridge—Morrisania.

Conclusion

This research contributes to the field’s understanding of multiple chronic conditions and allows policy and public health leaders in New York to better understand the prevalence and distribution of MCC.

Patient-centered medical home care access among adults with chronic conditions: National Estimates from the medical expenditure panel survey

BACKGROUND

The Patient-Centered Medical Home (PCMH) model is a coordinated-care model that has served as a means to improve several chronic disease outcomes and reduce management costs. However, access to PCMH has not been explored among adults suffering from chronic conditions in the United States. Therefore, the aim of this study was to describe the changes in receiving PCMH among adults suffering from chronic conditions that occurred from 2010 through 2015 and to identify predisposing, enabling, and need factors associated with receiving a PCMH.

METHODS

A cross-sectional analysis was conducted for adults with chronic conditions, using data from the 2010-2015 Medical Expenditure Panel Surveys (MEPS). Most common chronic conditions in the United States were identified by using the most recent data published by the Agency for Healthcare Research and Quality (AHRQ). The definition established by the AHRQ was used as the basis to determine whether respondents had access to PCMH. Multivariate logistic regression analyses were conducted to detect the association between the different variables and access to PCMH care.

RESULTS

A total of 20,403 patients with chronic conditions were identified, representing 213.7 million U.S. lives. Approximately 19.7% of the patients were categorized as the PCMH group at baseline who met all the PCMH criteria defined in this paper. Overall, the percentage of adults with chronic conditions who received a PCMH decreased from 22.3% in 2010 to 17.8% in 2015. The multivariate analyses revealed that several subgroups, including individuals aged 66 and older, separated, insured by public insurance or uninsured, from low-income families, residing in the South or the West, and with poor health, were less likely to have access to PCMH.

CONCLUSION

Our findings showed strong insufficiencies in access to a PCMH between 2010 and 2015, potentially driven by many factors. Thus, more resources and efforts need to be devoted to reducing the barriers to PCMH care which may improve the overall health of Americans with chronic conditions.

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.

Comorbidity Status and Annual Total Medical Expenditures in U.S. Hypertensive Adults

INTRODUCTION

The purpose of this study is to investigate comorbidity status and its impact on total medical expenditures in non-institutionalized hypertensive adults in the U.S.

METHODS

Data from the 2011-2014 Medical Expenditure Panel Survey were used. Patients were included if they had a diagnosis code for hypertension, were aged ≥18 years, and were not pregnant during the study period (N=26,049). The Elixhauser Comorbidity Index was modified to add hypertension-related comorbidities. The outcome variable was annual total medical expenditures, and a generalized linear model regression (gamma distribution with a log link function) was used. All costs were adjusted to 2014 U.S. dollars.

RESULTS

Based on the modified Elixhauser Comorbidity Index, 14.0% of patients did not have any comorbidities, 23.0% had one, 24.4% had two, and 38.7% had three or more. The five most frequent comorbidities were hyperlipidemia, diabetes, rheumatoid arthritis, depression, and chronic pulmonary disease. Estimated mean annual total medical expenditures were $3,914 (95% CI=$3,456, $4,372) for those without any comorbidity; $5,798 (95% CI=$5,384, $6,213) for those with one comorbidity; $8,333 (95% CI=$7,821, $8,844) for those with two comorbidities; and $13,920 (95% CI=$13,166, $14,674) for those with three or more comorbidities. Of the 15 most frequent comorbidities, the condition with the largest impact on expenditures for an individual person was congestive heart failure ($7,380). Hypertensive adults with stroke, coronary heart disease, diabetes, renal diseases, and hyperlipidemia had expenditures that were $6,069, $6,046, $5,039, $4,974, and $4,851 higher, respectively, than those without these conditions.

CONCLUSIONS

Comorbidities are highly prevalent among hypertensive adults, and this study shows that each comorbidity significantly increases annual total medical expenditures.

Added Value from Secondary Use of Person Generated Health Data in Consumer Health Informatics

Introduction: Various health-related data, subsequently called Person Generated Health Data (PGHD), is being collected by patients or presumably healthy individuals as well as about them as much as they become available as measurable properties in their work, home, and other environments. Despite that such data was originally just collected and used for dedicated predefined purposes, more recently it is regarded as untapped resources that call for secondary use. Method: Since the secondary use of PGHD is still at its early evolving stage, we have chosen, in this paper, to produce an outline of best practices, as opposed to a systematic review. To this end, we identified key directions of secondary use and invited protagonists of each of these directions to present their takes on the primary and secondary use of PGHD in their sub-fields. We then put secondary use in a wider perspective of overarching themes such as privacy, interpretability, interoperability, utility, and ethics. Results: We present the primary and secondary use of PGHD in four focus areas: (1) making sense of PGHD in augmented Shared Care Plans for care coordination across multiple conditions; (2) making sense of PGHD from patient-held sensors to inform cancer care; (3) fitting situational use of PGHD to evaluate personal informatics tools in adaptive concurrent trials; (4) making sense of environment risk exposure data in an integrated context with clinical and omics-data for biomedical research. Discussion: Fast technological progress in all the four focus areas calls for a societal debate and decision-making process on a multitude of challenges: how emerging or foreseeable results transform privacy; how new data modalities can be interpreted in light of clinical data and vice versa; how the sheer mass and partially abstract mathematical properties of the achieved insights can be interpreted to a broad public and can consequently facilitate the development of patient-centered services; and how the remaining risks and uncertainties can be evaluated against new benefits. This paper is an initial summary of the status quo of the challenges and proposals that address these issues. The opportunities and barriers identified can serve as action items individuals can bring to their organizations when facing challenges to add value from the secondary use of patient-generated health data.

Differences Between Younger and Older US Adults With Multiple Chronic Conditions

INTRODUCTION

Adults with multiple (≥2) chronic conditions (MCCs) account for a large portion of US health care costs. Despite the increase in MCC rates with age, most people with MCCs are working age. The study objective was to compare adults with MCCs who were younger than 65 years with those aged 65 years or older on selected measures to better understand the differences between groups and inform interventions that could lower health care costs.

METHODS

Data from respondents to the 2015 Behavioral Risk Factor Surveillance System data (N = 201,711) were used to compare adults aged 65 or older with MCCs with those younger than 65 with MCCs in unadjusted and adjusted analyses on chronic conditions, quality of life measures, disability status, access to health care, and modifiable risk factors. MCCs were based on up to 12 chronic conditions (heart disease, stroke, asthma, arthritis, chronic obstructive pulmonary disease, high cholesterol, cognitive impairment, diabetes, depression, chronic kidney disease, cancer other than skin, and hypertension).

RESULTS

Consistent with 80% of all adults being younger than 65, more than 60% of adults with MCCs were younger than 65 years. Compared with adults aged 65 or older with MCCs, those younger than 65 were more likely to report asthma, cognitive impairment, depression, smoking, obesity, poorer access to health care, disability, and worse quality of life in both unadjusted and adjusted analysis.

CONCLUSION

To decrease the burden of chronic diseases, adults younger than 65 with MCCs should get the treatment they need to reduce the chance of developing more chronic conditions as they age. The ultimate goal is to improve health status and reduce health care costs for everyone with MCCs.

Racial disparity in life expectancies and life years lost associated with multiple obesity-related chronic conditions

OBJECTIVE

This study investigated racial disparity in life expectancies (LEs) and life years lost (LYL) associated with multiple obesity-related chronic conditions (OCCs).

METHODS

Data from the Medical Expenditure Panel Survey, 2008-2012, were used. Four OCCs were studied: diabetes, hypertension, coronary heart disease (CHD), and stroke. LE for each subpopulation was simulated by Markov modelling. LYL associated with a disease for a subpopulation was computed by taking the difference between LEs for members of that subpopulation without disease and LEs for members of that subpopulation who had that disease. Racial disparities were measured in the absolute differences in LE and LYL between black women/men and white women/men.

RESULTS

Black individuals had higher risks of developing diabetes, hypertension, and stroke. This disparity in LE between white and black participants was largest in men age 40 to 49 with at least stroke: black men lived 3.12 years shorter than white men. The disparity in LYL between white and black participants was largest in women age 70 to 79 with at least CHD: black women had 1.98 years more LYL than white women.

CONCLUSIONS

Racial disparity exists in incident disease and mortality risks, LEs, and LYL associated with multiple OCCs. Efforts targeting subpopulations with large disparities are required to reduce disparities in the burden of multiple OCCs.

Dementia and co-occurring chronic conditions: a systematic literature review to identify what is known and where are the gaps in the evidence?

OBJECTIVE

The challenges posed by people living with multiple chronic conditions are unique for people with dementia and other significant cognitive impairment. There have been recent calls to action to review the existing literature on co-occurring chronic conditions and dementia in order to better understand the effect of cognitive impairment on disease management, mobility, and mortality.

METHODS

This systematic literature review searched PubMed databases through 2011 (updated in 2016) using key constructs of older adults, moderate-to-severe cognitive impairment (both diagnosed and undiagnosed dementia), and chronic conditions. Reviewers assessed papers for eligibility and extracted key data from each included manuscript. An independent expert panel rated the strength and quality of evidence and prioritized gaps for future study.

RESULTS

Four thousand thirty-three articles were identified, of which 147 met criteria for review. We found that moderate-to-severe cognitive impairment increased risks of mortality, was associated with prolonged institutional stays, and decreased function in persons with multiple chronic conditions. There was no relationship between significant cognitive impairment and use of cardiovascular or hypertensive medications for persons with these comorbidities. Prioritized areas for future research include hospitalizations, disease-specific outcomes, diabetes, chronic pain, cardiovascular disease, depression, falls, stroke, and multiple chronic conditions.

CONCLUSIONS

This review summarizes that living with significant cognitive impairment or dementia negatively impacts mortality, institutionalization, and functional outcomes for people living with multiple chronic conditions. Our findings suggest that chronic-disease management interventions will need to address co-occurring cognitive impairment. Copyright © 2017 John Wiley & Sons, Ltd.

Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach

BACKGROUND

Multimorbidity affects the majority of elderly adults and is associated with higher health costs and utilization, but how specific patterns of morbidity influence resource use is less understood.

OBJECTIVE

The objective was to identify specific combinations of chronic conditions, functional limitations, and geriatric syndromes associated with direct medical costs and inpatient utilization.

DESIGN

Retrospective cohort study using the Health and Retirement Study (2008-2010) linked to Medicare claims. Analysis used machine-learning techniques: classification and regression trees and random forest.

SUBJECTS

A population-based sample of 5771 Medicare-enrolled adults aged 65 and older in the United States.

MEASURES

Main covariates: self-reported chronic conditions (measured as none, mild, or severe), geriatric syndromes, and functional limitations. Secondary covariates: demographic, social, economic, behavioral, and health status measures.

OUTCOMES

Medicare expenditures in the top quartile and inpatient utilization.

RESULTS

Median annual expenditures were $4354, and 41% were hospitalized within 2 years. The tree model shows some notable combinations: 64% of those with self-rated poor health plus activities of daily living and instrumental activities of daily living disabilities had expenditures in the top quartile. Inpatient utilization was highest (70%) in those aged 77-83 with mild to severe heart disease plus mild to severe diabetes. Functional limitations were more important than many chronic diseases in explaining resource use.

CONCLUSIONS

The multimorbid population is heterogeneous and there is considerable variation in how specific combinations of morbidity influence resource use. Modeling the conjoint effects of chronic conditions, functional limitations, and geriatric syndromes can advance understanding of groups at greatest risk and inform targeted tailored interventions aimed at cost containment.

Prevalence of Chronic Conditions and Multimorbidities in a Geographically Defined Geriatric Population With Diverse Races and Ethnicities

OBJECTIVE

The objective of this study is to examine racial/ethnic differences in prevalence of chronic conditions and multimorbidities in the geriatric population of a state with diverse races/ethnicities.

METHOD

Fifteen chronic conditions and their dyads and triads were investigated using Hawaii Medicare 2012 data. For each condition, a multivariable logistic regression model was used to investigate differences in race/ethnicity, adjusting for subject characteristics.

RESULTS

Of the 84,212 beneficiaries, 27.8% were Whites, 54.6% Asians, and 5.2% Hispanics. Racial/ethnic disparities were prevalent for most conditions. Compared with Whites, Asians, Hispanics, and Others showed significantly higher prevalence rates in hypertension, hyperlipidemia, diabetes, and most dyads or triads of the chronic conditions. However, Whites had higher prevalence rates in arthritis and dementia.

DISCUSSION

Race/ethnicity may need to be considered when making clinical decisions and developing health care programs to reduce health disparities and improve quality of life for older individuals with chronic conditions.

Cost-Effectiveness of a Care Transition Intervention Among Multimorbid Patients

The purpose of this pilot study was to assess the cost-effectiveness of four different doses (based on patients’ level of cognition and activation) of a home-based care transitions intervention compared with usual care at 2 and 6 months after hospital discharge to home for 126 adult patients with three or more chronic diseases. Health care utilization was measured, and a cost-effectiveness analysis was used to estimate incremental costs and quality-adjusted life-years associated with each intervention arm. At 6 months, results from this pilot study are very promising and support cost-effectiveness for Group 2-low cognition/high activation, Group 3-normal cognition/low activation, and Group 4-normal cognition/high activation patients. However, Group 1-low cognition/low activation needs a more intensive treatment than what was provided in the intervention, because of their low cognition and activation levels. Our intervention strategies provided to the groups would be scalable to a larger patient population and across different facilities.

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.

Secondary analysis of large databases for hepatology research

Secondary analysis of large datasets involves the utilization of existing data that has typically been collected for other purposes to advance scientific knowledge. This is an established methodology applied in health services research with the unique advantage of efficiently identifying relationships between predictor and outcome variables but which has been underutilized for hepatology research. Our review of 1431 abstracts published in the 2013 European Association for the Study of Liver (EASL) abstract book showed that less than 0.5% of published abstracts utilized secondary analysis of large database methodologies. This review paper describes existing large datasets that can be exploited for secondary analyses in liver disease research. It also suggests potential questions that could be addressed using these data warehouses and highlights the strengths and limitations of each dataset as described by authors that have previously used them. The overall goal is to bring these datasets to the attention of readers and ultimately encourage the consideration of secondary analysis of large database methodologies for the advancement of hepatology.

Characteristics of Newly Enrolled Members of an Integrated Delivery System after the Affordable Care Act

Of 89,289 newly enrolled non-Medicare members, 25.3% completed the Brief Health Questionnaire between 1/1/2014, and 8/31/2014. Of these, 3593 respondents were insured through Medicaid, 9434 through the individual health exchange, and 9521 through primarily commercial plans. Of Medicaid, exchange, and commercial members, 19.5%, 7.1%, and 5.3%, respectively, self-reported fair or poor health; 12.9%, 2.0%, and 3.3% of each group self-reported 2 or more Emergency Department visits during the previous year; and 8.1%, 4.3%, and 4.4% self-reported an inpatient admission during the previous year.

Health-enhancing multibehavior and medical multimorbidity

OBJECTIVE

To examine the association of multibehavior on multimorbidity.

PATIENTS AND METHODS

Data from the 2005-2006 National Health and Nutrition Examination Survey were used. The study duration was from October 20, 2013, through December 16, 2014. A multimorbidity index variable was created that indicated the number of 14 morbidities that each patient had. A multibehavior index variable was created that indicated the number of 4 health-enhancing behaviors each participant had; physical activity was assessed via accelerometry, dietary behavior was assessed via an interview, smoking was determined via cotinine levels, and sleep duration was self-reported.

RESULTS

For the entire sample of 2048 participants, those with 1, 2, 3, and 4 health behaviors, compared with 0 health behaviors, had a 35% (odds ratio [OR], 0.65; 95% CI, 0.47-0.90; P=.01), 44% (OR, 0.56; 95% CI, 0.38-0.82; P=.006), 63% (OR, 0.37; 95% CI, 0.26-0.51; P<.001), and 69% (OR, 0.31; 95% CI, 0.19-0.52; P<.001) reduced odds of being multimorbid, respectively. Only physical activity (β=-.46) and sleep (β=-.23) were independently associated with multimorbidity, and only 2 health behavior combinations were associated with multimorbidity: physical activity and sleep (β=-.17) and physical activity and nonsmoking (β=-.16).

CONCLUSIONS

Americans engaging in more health behaviors were less likely to be multimorbid. Physical activity was independently, as well is in combination with other health behaviors, associated with multimorbidity. Implications for developing a multibehavior-multimorbidity framework to treat the patients' holistic needs is discussed.

[A way of helping "Mr. Minotaur" and "Ms. Ariadne" to exit from the multiple morbidity labyrinth: the "master problems"]

Multiple morbidity seems to be "infinite" and so is not easy to make useful decisions. A new concept is introduced: the "master problems", as a qualitative method to facilitate the exit from this maze of multiple morbidity. Metaphors from the art world have been used to teach this concept. These "master problems" generally remain hidden and can only "unravel" between the interstices of multiple morbidity, when the details of the system that defines the problem are explained. A problem with "energy" or a "master problem" is complex, multiple and dramatic or theatrical--everything in the clinical history history make us look into that particular question. It is what gives us a blow to the stomach, which causes our hearts to beat faster, that moves us on many levels, which has a high "density of emotions", human elements, social symbols, and opens solutions in a patient.

Risk of developing multimorbidity across all ages in an historical cohort study: differences by sex and ethnicity

OBJECTIVE

To study the incidence of de novo multimorbidity across all ages in a geographically defined population with an emphasis on sex and ethnic differences.

DESIGN

Historical cohort study.

SETTING

All persons residing in Olmsted County, Minnesota, USA on 1 January 2000 who had granted permission for their records to be used for research (n=123 716).

PARTICIPANTS

We used the Rochester Epidemiology Project medical records-linkage system to identify all of the county residents. We identified and removed from the cohort all persons who had developed multimorbidity before 1 January 2000 (baseline date), and we followed the cohort over 14 years (1 January 2000 through 31 December 2013).

MAIN OUTCOME MEASURES

Incident multimorbidity was defined as the development of the second of 2 conditions (dyads) from among the 20 chronic conditions selected by the US Department of Health and Human Services. We also studied the incidence of the third of 3 conditions (triads) from among the 20 chronic conditions.

RESULTS

The incidence of multimorbidity increased steeply with older age; however, the number of people with incident multimorbidity was substantially greater in people younger than 65 years compared to people age 65 years or older (28 378 vs 6214). The overall risk was similar in men and women; however, the combinations of conditions (dyads and triads) differed extensively by age and by sex. Compared to Whites, the incidence of multimorbidity was higher in Blacks and lower in Asians.

CONCLUSIONS

The risk of developing de novo multimorbidity increases steeply with older age, varies by ethnicity and is similar in men and women overall. However, as expected, the combinations of conditions vary extensively by age and sex. These data represent an important first step toward identifying the causes and the consequences of multimorbidity.

Chronic condition combinations and health care expenditures and out-of-pocket spending burden among adults, Medical Expenditure Panel Survey, 2009 and 2011

INTRODUCTION

Little is known about how combinations of chronic conditions in adults affect total health care expenditures. Our objective was to estimate the annual average total expenditures and out-of-pocket spending burden among US adults by combinations of conditions.

METHODS

We conducted a cross-sectional study using 2009 and 2011 data from the Medical Expenditure Panel Survey. The sample consisted of 9,296 adults aged 21 years or older with at least 2 of the following 4 highly prevalent chronic conditions: arthritis, diabetes mellitus, heart disease, and hypertension. Unadjusted and adjusted regression techniques were used to examine the association between chronic condition combinations and log-transformed total expenditures. Logistic regressions were used to analyze the relationship between chronic condition combinations and high out-of-pocket spending burden.

RESULTS

Among adults with chronic conditions, adults with all 4 conditions had the highest average total expenditures ($20,016), whereas adults with diabetes/hypertension had the lowest annual total expenditures ($7,116). In adjusted models, adults with diabetes/hypertension and hypertension/arthritis had lower health care expenditures than adults with diabetes/heart disease (P < .001). In adjusted models, adults with all 4 conditions had higher expenditures compared with those with diabetes and heart disease. However, the difference was only marginally significant (P = .04).

CONCLUSION

Among adults with arthritis, diabetes, heart disease, and hypertension, total health care expenditures differed by type of chronic condition combinations. For individuals with multiple chronic conditions, such as heart disease and diabetes, new models of care management are needed to reduce the cost burden on the payers.

Barriers and facilitators to managing multiple chronic conditions: a systematic literature review

The prevalence of multiple chronic conditions (MCC) is increasing, creating challenges for patients, families, and the health care system. A systematic literature search was conducted to locate studies describing patient's perceptions of facilitators and barriers to management of MCC. Thirteen articles met study inclusion criteria. Patients reported nine categories of barriers including financial constraints, logistical challenges, physical limitations, lifestyle changes, emotional impact, inadequate family and social support, and the complexity of managing multiple conditions, medications, and communicating with health care providers. Four facilitators were found, including health system support, individualized care education and knowledge, informal support from family and social systems, and having personal mental and emotional strength. Existing research on management of MCC from the patient's perspective is limited. Interventions are needed to improve management practices with particular attention to the knowledge and skills required by this unique population.

Prevention of chronic disease in the 21st century: elimination of the leading preventable causes of premature death and disability in the USA

With non-communicable conditions accounting for nearly two-thirds of deaths worldwide, the emergence of chronic diseases as the predominant challenge to global health is undisputed. In the USA, chronic diseases are the main causes of poor health, disability, and death, and account for most of health-care expenditures. The chronic disease burden in the USA largely results from a short list of risk factors--including tobacco use, poor diet and physical inactivity (both strongly associated with obesity), excessive alcohol consumption, uncontrolled high blood pressure, and hyperlipidaemia--that can be effectively addressed for individuals and populations. Increases in the burden of chronic diseases are attributable to incidence and prevalence of leading chronic conditions and risk factors (which occur individually and in combination), and population demographics, including ageing and health disparities. To effectively and equitably address the chronic disease burden, public health and health-care systems need to deploy integrated approaches that bundle strategies and interventions, address many risk factors and conditions simultaneously, create population-wide changes, help the population subgroups most affected, and rely on implementation by many sectors, including public-private partnerships and involvement from all stakeholders. To help to meet the chronic disease burden, the US Centers for Disease Control and Prevention (CDC) uses four cross-cutting strategies: (1) epidemiology and surveillance to monitor trends and inform programmes; (2) environmental approaches that promote health and support healthy behaviours; (3) health system interventions to improve the effective use of clinical and other preventive services; and (4) community resources linked to clinical services that sustain improved management of chronic conditions. Establishment of community conditions to support healthy behaviours and promote effective management of chronic conditions will deliver healthier students to schools, healthier workers to employers and businesses, and a healthier population to the health-care system. Collectively, these four strategies will prevent the occurrence of chronic diseases, foster early detection and slow disease progression in people with chronic conditions, reduce complications, support an improved quality of life, and reduce demand on the health-care system. Of crucial importance, with strengthened collaboration between the public health and health-care sectors, the health-care system better uses prevention and early detection services, and population health is improved and sustained by solidifying collaborations between communities and health-care providers. This collaborative approach will improve health equity by building communities that promote health rather than disease, have more accessible and direct care, and focus the health-care system on improving population health.

Understanding the context of health for persons with multiple chronic conditions: moving from what is the matter to what matters

PURPOSE

An isolated focus on 1 disease at a time is insufficient to generate the scientific evidence needed to improve the health of persons living with more than 1 chronic condition. This article explores how to bring context into research efforts to improve the health of persons living with multiple chronic conditions (MCC).

METHODS

Forty-five experts, including persons with MCC, family and friend caregivers, researchers, policy makers, funders, and clinicians met to critically consider 4 aspects of incorporating context into research on MCC: key contextual factors, needed research, essential research methods for understanding important contextual factors, and necessary partnerships for catalyzing collaborative action in conducting and applying research.

RESULTS

Key contextual factors involve complementary perspectives across multiple levels: public policy, community, health care systems, family, and person, as well as the cellular and molecular levels where most research currently is focused. Needed research involves moving from a disease focus toward a person-driven, goal-directed research agenda. Relevant research methods are participatory, flexible, multilevel, quantitative and qualitative, conducive to longitudinal dynamic measurement from diverse data sources, sufficiently detailed to consider what works for whom in which situation, and generative of ongoing communities of learning, living and practice. Important partnerships for collaborative action include cooperation among members of the research enterprise, health care providers, community-based support, persons with MCC and their family and friend caregivers, policy makers, and payers, including government, public health, philanthropic organizations, and the business community.

CONCLUSION

Consistent attention to contextual factors is needed to enhance health research for persons with MCC. Rigorous, integrated, participatory, multimethod approaches to generate new knowledge and diverse partnerships can be used to increase the relevance of research to make health care more sustainable, safe, equitable and effective, to reduce suffering, and to improve quality of life.

The HHS Strategic Framework on multiple chronic conditions: genesis and focus on research

Among the 21st century's major emerging health issues, one of the most critical is the increasing prevalence of individuals with comorbidities, or multiple chronic conditions (MCCs), and the myriad challenges this poses for public health, healthcare, social services, and other sectors. Given the increasing prevalence of individuals with MCCs and the paramount role of MCCs as a healthcare cost driver, in 2008 the U.S. Department of Health and Human Services (HHS) launched an initiative to strengthen efforts by the HHS to address the effects of MCCs on health status, quality of life, and cost. In this paper, we first provide an overview of the HHS initiative with a particular focus on the approach used in developing the initiative's centerpiece, the HHS Strategic Framework on Multiple Chronic Conditions; we next describe progress in implementing one of the framework's four major goal areas (Goal 4) on facilitating research to fill knowledge gaps about, and interventions and systems to benefit, individuals with MCCs; and we conclude by suggesting additional potential priorities for research on MCCs. Although considerable research on MCCs has been reported over the past decade, the HHS Strategic Framework's goal on research provides a set of priority areas and a plan for systematically strengthening the evidence and information foundation necessary to address the challenges of MCCs in the USA. More broadly, the Strategic Framework provides a roadmap to help improve coordination between HHS operating divisions and enhance collaboration with external stakeholders to improve the quality of life for those with MCCs. Journal of Comorbidity 2013;3:22-29.