Multiple chronic conditions among Medicare beneficiaries: state-level variations in prevalence, utilization, and cost, 2011

Generic and disease-specific caregiver contribution to self-care in a population with multiple chronic conditions: A comparative study

AIM

Describe and compare generic and disease-specific caregiver contribution (CC) to self-care behaviours in the dimensions of self-care maintenance, self-care monitoring and self-care management in multiple chronic conditions (MCCs).

DESIGN

Multicentre cross-sectional study.

METHODS

We enrolled caregivers of patients with MCC, from April 2017 to November 2022, if they were (a) 18 years of age or older and (b) identified by the patient as the principal unpaid informal caregiver. The Caregiver Contribution to Self-Care of Chronic Illness Inventory, Caregiver Contribution to Self-Care of Heart Failure Index, Caregiver Contribution to Self-Care of COPD Inventory and Caregiver Contribution to Self-care of Diabetes Inventory were used to measure generic and disease-specific contribution to patient self-care. Descriptive statistics, Student's t-tests and Pearson's correlation coefficients were used.

RESULTS

We found adequate generic CC for self-care monitoring but inadequate CC in self-care maintenance and management. All CC to disease-specific self-care maintenance, monitoring and management scales' scores were inadequate, except for caregivers of diabetic patients in which we observed an adequate score in the CC to self-care maintenance and self-care management scales in those practice insulin therapy.

CONCLUSION

Caregivers experience difficulties in performing behaviours of contribution to their patients affected by chronic conditions. Caregivers of patients with MCCs contribute more to self-care in aspects related to provider prescriptions and less to lifestyle changes.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Healthcare professionals have to know in which behaviours caregivers show gaps and reflect on the reasons for poor CC to self-care to develop interventions to enhance these behaviours.

IMPACT

This study underlines the importance of choosing the most appropriate instrument for measuring CC to self-care, considering the caregiver's characteristics.

REPORTING METHOD

We adhered to STROBE guidelines.

PATIENT OR PUBLIC CONTRIBUTION

Caregivers of patients affected by MCCs were enrolled.

Nationwide Prevalence and Geographic Variation of Idiopathic Intracranial Hypertension among Women in the United States

PURPOSE

To determine the nationwide prevalence and geographic distribution of idiopathic intracranial hypertension (IIH) among women in the United States.

DESIGN

Retrospective cross-sectional study using Medicaid claims and electronic health record data from the IRIS® Registry (Intelligent Research in Sight) and Sight Outcomes Research Collaborative (SOURCE).

PARTICIPANTS

Female Medicaid beneficiaries 18 to 55 years of age with IIH diagnoses and prescriptions for acetazolamide or methazolamide in 2018 were identified, excluding those with other causes of intracranial hypertension. We calculated the proportion of women with IIH in the United States who were insured by Medicaid by combining analyses from the IRIS Registry and SOURCE.

METHODS

To calculate the number of women with IIH in each state, we divided the number of Medicaid beneficiaries by the proportion of patients insured by Medicaid. We used census data from the 2018 American Community Survey to calculate prevalence.

MAIN OUTCOME MEASURES

We examined geographic variation in IIH prevalence using Moran's I statistic and compared it to obesity prevalence data from the 2018 Behavioral Risk Factor Surveillance System. In a validation study, we compared the calculated prevalence of IIH in Minnesota with similar data from the Rochester Epidemiology Project.

RESULTS

Of 13 959 female Medicaid beneficiaries with IIH, 6828 had a prescription for acetazolamide or methazolamide. In the IRIS Registry and SOURCE, 25% of women with IIH were insured by Medicaid (95% confidence interval [CI], 16%-33%), suggesting that 27 312 women 18 to 55 years of age with IIH were taking acetazolamide or methazolamide in 2018 (6828 / 0.25 = 27 312). Prevalence was 3.44 per 10 000 women (95% CI, 2.61-5.39 per 10 000 women), and significant geographic variation was found (Moran I statistic, 0.20; P = 0.03), with higher prevalence in states where obesity was more common. The calculated prevalence of IIH in Minnesota was statistically equivalent to that identified using Rochester Epidemiology Project data (P < 0.05 for equivalence test).

CONCLUSIONS

Idiopathic intracranial hypertension affects 3.44 per 10 000 women 18 to 55 years of age in the United States with significant geographic variation, some of which is explained by variation in obesity prevalence.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Transitioning to a guaranteed annual income and the impact on activities of daily living in older adults: Evidence from public pensions in Canada using the CLSA

OBJECTIVE

Statistically model the likelihood of changes in the activities of daily living (ADLs) over time for three groups of older adults: those on a pension at all time periods, those never on a pension, and those who transition onto a public pension.

METHODS

Our study used data from the Canadian Longitudinal Study on Aging (CLSA), a large national survey. We used data from baseline (2010-2015) and the first follow-up wave (2015-2018). We used logistic regression to model the likelihood of ADL changes in males and females by pension receipt status, controlling for several potential confounders and allowing for the impact of public pensions to be modified by baseline income.

RESULTS

The magnitudes of the estimates indicated that those who transition to a public pension are less likely to report ADL degradation and more likely to report ADL improvement compared to those with no public pension. In the lowest baseline income group, those who transitioned onto a pension at follow-up had a 15% (male) or 11% (female) lower likelihood of reporting degraded ADL scores compared to those not receiving a pension at follow-up. Those who transitioned onto a pension in the lowest income group were more likely to report an improved ADL score at follow-up.

CONCLUSION

Our results could provide evidence for the potential health benefits of more comprehensive guaranteed annual income programs beyond the pension program. The penalty of being low-income was mitigated by the stability of the pension income in terms of ADL improvement or degradation.

A pilot community-based Diabetes Prevention and Management Program for adults with diabetes and prediabetes

Background

West Virginia is a rural state with high rates of type 2 diabetes (T2DM) and prediabetes. The Diabetes Prevention and Management (DPM) program was a health coach (HC)-led, 12-month community-based lifestyle intervention.

Objective

The study examined the impact of the DPM program on changes in glycosylated hemoglobin (A1C) and weight over twelve months among rural adults with diabetes and prediabetes. Program feasibility and acceptability were also explored.

Methods

An explanatory sequential quantitative and qualitative one-group study design was used to gain insight into the pre- and 12-month changes to health behavior and clinical outcomes. Trained HCs delivered the educational sessions and provided weekly health coaching feedback. Assessments included demographics, clinical, anthropometric, and qualitative focus groups. Participants included 94 obese adults with diabetes (63%) and prediabetes (37%). Twenty-two participated in three focus groups.

Results

Average attendance was 13.7 ± 6.1 out of 22 sessions. Mean weight loss was 4.4 ± 11.5 lbs at twelve months and clinical improvement in A1C (0.4%) was noted among T2DM adults. Program retention (82%) was higher among older participants and those with poor glycemic control. While all participants connected to a trained HC, only 72% had regular weekly health coaching. Participants reported overall acceptability and satisfaction with the program and limited barriers to program engagement.

Conclusion

Our findings suggest that it is feasible to implement an HC-led DPM program in rural communities and improve A1C in T2DM adults. Trained HCs have the potential to be integrated with healthcare teams in rural regions of the United States.

Technologies for Managing the Health of Older Adults with Multiple Chronic Conditions: A Systematic Literature Review

Multimorbidity is defined as the presence of two or more chronic medical conditions in a person, whether physical, mental or long-term infectious diseases. This is especially common in older populations, affecting their quality of life and emotionally impacting their caregivers and family. Technology can allow for monitoring, managing, and motivating older adults in their self-care, as well as supporting their caregivers. However, when several conditions are present at once, it may be necessary to manage several types of technologies, or for technology to manage the interaction between conditions. This work aims to understand and describe the technologies that are used to support the management of multimorbidity for older adults. We conducted a systematic review of ten years of scientific literature from four online databases. We reviewed a corpus of 681 research papers, finally including 25 in our review. The technologies used most frequently by older adults with multimorbidity are mobile applications and websites, and they are mostly focused on communication and connectivity. We then propose opportunities for future research on addressing the challenges in the management of several simultaneous health conditions, potentially creating a better approach than managing each condition as if it were independent.

The influence of dyad sex combination on patient self-care and caregiver contribution to self-care in multiple chronic conditions: An observational study

INTRODUCTION

We know that patient and caregiver sex influence patient self-care and caregiver contribution to self-care in multiple chronic conditions. However, the role of dyad sex combination (e.g., male patient and female caregiver, female patient and male caregiver, male patient and caregiver, and female patient and caregiver) in influencing patient self-care and caregiver contribution to self-care remains unexplored. Our aim was to investigate the relationship between patient and caregiver sex combination and patient self-care and caregiver contribution to self-care in multiple chronic conditions.

DESIGN

Multicentre cross-sectional study.

METHODS

We enrolled patients with multiple chronic conditions and caregiver dyads in outpatient and community settings from April 2017 to December 2019. We used the Self-Care of Chronic Illness Inventory and the Caregiver Contribution to Self-Care of Chronic Illness Inventory that measure, from the patient and caregiver perspective, self-care maintenance (i.e., behaviors to maintain illness stability), self-care monitoring (i.e., monitoring of illness signs and symptoms), and self-care management (i.e., behaviors to manage signs and symptoms). We used multivariate analysis of covariance to evaluate the association between sex and self-care and caregiver contribution to self-care.

RESULTS

We recruited 540 patient-caregiver dyads. Male patients cared by female caregivers performed higher self-care maintenance compared to female patients cared by female caregivers. Female caregivers caring for female patients performed higher caregiver contribution to self-care monitoring compared to male caregivers caring for female or male patients.

CONCLUSIONS

Clinicians should consider the influence of patient and caregiver sex combination on self-care and caregiver contribution to self-care in multiple chronic conditions to provide tailored interventions.

CLINICAL RELEVANCE

Healthcare professionals should consider the patient and caregiver sex combination in the dyad to tailor better interventions aimed at improving patient self-care and caregiver contribution to self-care in multiple chronic conditions.

Long-term air pollution exposure and diabetes risk in American older adults: A national secondary data-based cohort study

Type 2 diabetes is a major public health concern. Several studies have found an increased diabetes risk associated with long-term air pollution exposure. However, most current studies are limited in their generalizability, exposure assessment, or the ability to differentiate incidence and prevalence cases. We assessed the association between air pollution and first documented diabetes occurrence in a national U.S. cohort of older adults to estimate diabetes risk. We included all Medicare enrollees 65 years and older in the fee-for-service program, part A and part B, in the contiguous United States (2000-2016). Participants were followed annually until the first recorded diabetes diagnosis, end of enrollment, or death (264, 869, 458 person-years). We obtained annual estimates of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and warm-months ozone (O3) exposures from highly spatiotemporally resolved prediction models. We assessed the simultaneous effects of the pollutants on diabetes risk using survival analyses. We repeated the models in cohorts restricted to ZIP codes with air pollution levels not exceeding the national ambient air quality standards (NAAQS) during the study period. We identified 10, 024, 879 diabetes cases of 41, 780, 637 people (3.8% of person-years). The hazard ratio (HR) for first diabetes occurrence was 1.074 (95% CI 1.058; 1.089) for 5 μg/m3 increase in PM2.5, 1.055 (95% CI 1.050; 1.060) for 5 ppb increase in NO2, and 0.999 (95% CI 0.993; 1.004) for 5 ppb increase in O3. Both for NO2 and PM2.5 there was evidence of non-linear exposure-response curves with stronger associations at lower levels (NO2 ≤ 36 ppb, PM2.5 ≤ 8.2 μg/m3). Furthermore, associations remained in the restricted low-level cohorts. The O3-diabetes exposure-response relationship differed greatly between models and require further investigation. In conclusion, exposures to PM2.5 and NO2 are associated with increased diabetes risk, even when restricting the exposure to levels below the NAAQS set by the U.S. EPA.

Long-term air pollution exposure and diabetes risk in American older adults: A national secondary data-based cohort study

Type 2 diabetes is a major public health concern. Several studies have found an increased diabetes risk associated with long-term air pollution exposure. However, most current studies are limited in their generalizability, exposure assessment, or the ability to differentiate incidence and prevalence cases. We assessed the association between air pollution and first documented diabetes occurrence in a national U.S. cohort of older adults to estimate diabetes risk. We included all Medicare enrollees 65 years and older in the fee-for-service program, part A and part B, in the contiguous United States (2000-2016). Participants were followed annually until the first recorded diabetes diagnosis, end of enrollment, or death (264, 869, 458 person-years). We obtained annual estimates of fine particulate matter (PM_2.5), nitrogen dioxide (NO₂), and warm-months ozone (O₃) exposures from highly spatiotemporally resolved prediction models. We assessed the simultaneous effects of the pollutants on diabetes risk using survival analyses. We repeated the models in cohorts restricted to ZIP codes with air pollution levels not exceeding the national ambient air quality standards (NAAQS) during the study period. We identified 10, 024, 879 diabetes cases of 41, 780, 637 people (3.8% of person-years). The hazard ratio (HR) for first diabetes occurrence was 1.074 (95% CI 1.058; 1.089) for 5 μg/m³ increase in PM_2.5, 1.055 (95% CI 1.050; 1.060) for 5 ppb increase in NO₂, and 0.999 (95% CI 0.993; 1.004) for 5 ppb increase in O₃. Both for NO₂ and PM_2.5 there was evidence of non-linear exposure-response curves with stronger associations at lower levels (NO₂ ≤ 36 ppb, PM_2.5 ≤ 8.2 μg/m³). Furthermore, associations remained in the restricted low-level cohorts. The O₃-diabetes exposure-response relationship differed greatly between models and require further investigation. In conclusion, exposures to PM_2.5 and NO₂ are associated with increased diabetes risk, even when restricting the exposure to levels below the NAAQS set by the U.S. EPA.

Healthcare Costs and Health Status: Insights from the SHARE Survey

The substantial rise in hospital costs over recent years is associated with the rapid increase in the older age population. This study addresses an empirical gap in the literature concerning the determinants of high hospital costs in a group of older patients in Europe. The objective of the study is to examine the association of patient health status with in-hospital costs among older people across European countries. We used the data from the Survey of Health, Ageing and Retirement in Europe (SHARE) database. The analysis included 9671 patients from 18 European countries. We considered socio-demographic, lifestyle and clinical variables as possible factors influencing in-hospital costs. Univariate and multivariable logistic regression analyses were used to determine the determinants of in-hospital costs. To benchmark the hospital costs across European countries, we used the cost-outlier methodology. Rates of hospital cost outliers among older people varies from 5.80 to 12.65% across Europe. Factors associated with extremely high in-patient costs differ among European countries. In most countries, they include the length of stay in the hospital, comorbidities, functional mobility and physical activity. The treatment of older people reporting heart attack, diabetes, chronic lung disease and cancer are more often connected with cost outliers. The risk of being a cost outlier increased by 20% with each day spent in the hospital. We advocate that including patient characteristics in the reimbursement system could provide a relatively simple strategy for reducing hospitals' financial risk connected with exceptionally costly cases.

A Pilot to Implement Chronic Care Management Services at an Academic Medical Center

Objective: Chronic Care Management (CCM) for patients requires care coordination. Our aim was to describe a pilot to implement CCM services within our house call program. We aimed to identify processes and verify reimbursement. Design: Pilot study and retrospective review of patients participating in CCM. Setting and Participants: Non-face-to face delivery of CCM services at an academic center. Sixty-five and over with two or more chronic conditions expected to last at least 12 month or until the death of the patient from July 15th, 2019 to June 30, 2020. Methods: We identified patients using a registry. If consent given, a care plan was documented in the chart and shared with the patient. The nurse would then call the patient during the month to follow up on the care plan. Results: Twenty-three patients participated. Mean age was 82 years. Majority were white (67%). One thousand sixty-six dollars ($1,066) were collected for CCM. Co-pay for traditional MCR was $8.47. Most common chronic disease diagnoses were hypertension, congestive heart failure, chronic kidney disease, dementia with behavior and psychological disturbance, and type 2 diabetes mellitus. Conclusion and Implications: CCM services offer additional revenue source for practices that provide care coordination for chronic disease management.

Multiple Chronic Conditions among Seriously Ill Adults Receiving Palliative Care

The objective of this study was to characterize multiple chronic conditions (MCCs) among seriously ill adults receiving palliative care at the end of life. A latent class analysis was conducted to identify latent subgroups of seriously ill older adults based on a baseline Charlson comorbidity index (CCI) measurement, a measure of comorbidity burden, and mortality risk. The three latent subgroups were: (1) low to moderate CCI with MCC, (2) high CCI with MCC, and (3) high CCI and metastatic cancer. The "low to moderate CCI and MCC" subgroup included older adults with chronic obstructive pulmonary disease (COPD), cardiovascular disease, congestive heart failure, myocardial infarction, dementia, diabetes, and lymphoma. A "high CCI and MCC" subgroup included individuals with severe illness including liver or renal disease among other MCCs. A "high CCI and metastatic cancer" included all participants with metastatic cancer. This study sheds light on the MCC profile of seriously ill adults receiving palliative care.

Comparing the association between multiple chronic conditions, multimorbidity, frailty, and survival among older patients with cancer

INTRODUCTION

The high prevalence of multiple chronic conditions (MCC), multimorbidity, and frailty may affect treatment and outcomes for older adults with cancer. The goal of this study was to use three conceptually distinct measures of morbidity to examine the association between these measures and mortality.

MATERIALS AND METHODS

Using Medicare claims data linked with the 2012-2016 Ohio Cancer Incidence Surveillance System we identified older adults with incident primary cancer sites of breast, colorectal, lung, or prostate (n = 29,140). We used claims data to identify their Elixhauser comorbidities, Multimorbidity-Weighted Index (MWI), and Claims Frailty Index (CFI) as measures of MCC, multimorbidity, and frailty, respectively. We used Cox proportional hazard models to examine the association between these measures and survival time since diagnosis.

RESULTS

Lung cancer patients had the highest levels of MCC, multimorbidity, and frailty. There was a positive association between all three measures and a greater hazard of death after adjusting for age, sex (colorectal and lung only), and stage. Breast cancer patients with 5+ comorbidities had an adjusted hazard ratio (aHR) of 1.63 (95% confidence interval [CI]: 1.38, 1.93), and those with mild frailty had an aHR of 3.38 (95% CI; 2.12, 5.41). The C statistics for breast cancer were 0.79, 0.78, and 0.79 for the MCC, MWI, and CFI respectively. Similarly, lung cancer patients who were moderately or severely frail had an aHR of 1.82 (95% CI: 1.53, 2.18) while prostate cancer patients had an aHR of 3.39 (95% CI: 2.12, 5.41) and colorectal cancer patients had an aHR of 4.51 (95% CI: 3.23, 6.29). Model performance was nearly identical across the MCC, multimorbidity, and frailty models within cancer type. The models performed best for prostate and breast cancer, and notably worse for lung cancer. The frailty models showed the greatest separation in unadjusted survival curves.

DISCUSSION

The MCC, multimorbidity, and frailty indices performed similarly well in predicting mortality among a large cohort of older cancer patients. However, there were notable differences by cancer type. This work highlights that although model performance is similar, frailty may serve as a clearer indicator in risk stratification of geriatric oncology patients than simple MCCs or multimorbidity.

Screening for Social Risk Factors in the ICU During the Pandemic

Due to limitations in data collected through electronic health records, the social risk factors (SRFs) that predate severe illness and restrict access to critical care services are poorly understood.

OBJECTIVES

This study explored the feasibility and utility of directly eliciting SRFs in the ICU by implementing a screening program.

DESIGN SETTING AND PARTICIPANTS

Five hundred sixty-six critically ill patients at the medical ICU of Robert Wood Johnson University Hospital from July 1, 2019, to September 31, 2021, were interviewed for SRFs using an adapted version of the American Academy of Family Physicians' Social Needs Screening Tool.

MAIN OUTCOMES AND MEASURES

For each SRFs, we compared basic demographic factors, proxies of socioeconomic status, and severity score between those with and without the SRFs through chi-square tests and Wilcoxon rank-sum tests. Furthermore, we determined the prevalence of SRFs overall, before, and during the COVID-19 pandemic.

RESULTS

Of critically ill patients, 39.58% reported at least one SRF. Age, zip-code matched median household income, and insurance type differed depending on the SRFs. Notably, patients with SRFs were admitted with a lower average severity score, indicating reduced risk in mortality. Since March 2020, the prevalence of SRFs in the ICU overall fell from 54.47% to 35.44%. Conversely, the proportion of patients unable to afford healthcare increased statistically significantly from 7.32% to 18.06%.

CONCLUSIONS AND RELEVANCE

Screening for SRFs in the ICU detected the presence of disproportionally low-risk patients whose access to critical care services became restricted throughout the pandemic.

Association between multimorbidity and hospitalization in older adults: systematic review and meta-analysis

Background

Multimorbidity is defined as the presence of multiple chronic conditions in the same individual. Multimorbidity is more prevalent in older adults and can lead to several adverse health outcomes.

Methods

We systematically reviewed evidence from observational studies to verify the association between multimorbidity and hospitalization in older adults. Furthermore, we also aimed to identify whether it changes according to gender, advanced age, institutionalization, and wealth of the country of residence. We searched the PubMed, Embase and Scopus databases from December 2020 to April 2021. The analysed outcomes were as follows: hospitalization, length of stay and hospital readmission.

Results

Of the 6,948 studies identified in the databases, 33 were included in this review. From the meta-analysis results, it was found that multimorbidity, regardless of the country’s wealth, was linked to hospitalization in older adults (OR = 2.52, CI 95% = 1.87–3.38). Both definitions of multimorbidity, ≥2 (OR = 2.35, 95% CI = 1.34–4.12) and ≥3 morbidities (OR = 2.52, 95% CI = 1.87–3.38), were associated with hospitalization. Regardless of gender, multimorbidity was associated with hospitalization (OR = 1.98, 95% CI = 1.67–2.34) and with readmission (OR = 1.07, 95% CI = 1.04–1.09). However, it was not possible to verify the association between multimorbidity and length of stay.

Conclusions

Multimorbidity was linked to a higher hospitalization risk, and this risk was not affected by the country’s wealth and patient’s gender. Multimorbidity was also linked to a higher hospital readmission rate in older adults. PROSPERO Registration (Registration number: CRD42021229328).

Comparing ascertainment of chronic condition status with problem lists versus encounter diagnoses from electronic health records

OBJECTIVE

To assess and compare electronic health record (EHR) documentation of chronic disease in problem lists and encounter diagnosis records among Community Health Center (CHC) patients.

MATERIALS AND METHODS

We assessed patient EHR data in a large clinical research network during 2012-2019. We included CHCs who provided outpatient, older adult primary care to patients age ≥45 years, with ≥2 office visits during the study. Our study sample included 1 180 290 patients from 545 CHCs across 22 states. We used diagnosis codes from 39 Chronic Condition Warehouse algorithms to identify chronic conditions from encounter diagnoses only and compared against problem list records. We measured correspondence including agreement, kappa, prevalence index, bias index, and prevalence-adjusted bias-adjusted kappa.

RESULTS

Overlap of encounter diagnosis and problem list ascertainment was 59.4% among chronic conditions identified, with 12.2% of conditions identified only in encounters and 28.4% identified only in problem lists. Rates of coidentification varied by condition from 7.1% to 84.4%. Greatest agreement was found in diabetes (84.4%), HIV (78.1%), and hypertension (74.7%). Sixteen conditions had <50% agreement, including cancers and substance use disorders. Overlap for mental health conditions ranged from 47.4% for anxiety to 59.8% for depression.

DISCUSSION

Agreement between the 2 sources varied substantially. Conditions requiring regular management in primary care settings may have a higher agreement than those diagnosed and treated in specialty care.

CONCLUSION

Relying on EHR encounter data to identify chronic conditions without reference to patient problem lists may under-capture conditions among CHC patients in the United States.

Assessment of Hypothetical Out-of-Pocket Costs of Guideline-Recommended Medications for the Treatment of Older Adults With Multiple Chronic Conditions, 2009 and 2019

IMPORTANCE

Most adults 65 years or older have multiple chronic conditions. Managing these conditions with prescription drugs can be costly, particularly for older adults with limited incomes.

OBJECTIVE

To estimate hypothetical out-of-pocket costs associated with guideline-recommended outpatient medications for the initial treatment of 8 common chronic diseases among older adults with Medicare prescription drug plans (PDPs).

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cross-sectional study used 2009 and 2019 Medicare prescription drug plan formulary files to estimate annual out-of-pocket costs among hypothetical patients enrolled in Medicare Advantage or stand-alone Medicare Part D plans. A total of 3599 PDPs in 2009 and 3618 PDPs in 2019 were included after inclusion and exclusion criteria were applied. Costs associated with guideline-recommended medications for 8 of the most common chronic diseases (atrial fibrillation, chronic obstructive pulmonary disease [COPD], heart failure with reduced ejection fraction, hypercholesterolemia, hypertension, osteoarthritis, osteoporosis, and type 2 diabetes), alone and in 2 clusters of commonly comorbid conditions, were examined.

MAIN OUTCOMES AND MEASURES

Annual out-of-pocket costs for each chronic condition, inflation adjusted to 2019 dollars.

RESULTS

Among 3599 Medicare PDPs in 2009, 1998 were Medicare Advantage plans and 1601 were stand-alone plans; among 3618 Medicare PDPs in 2019, 2719 were Medicare Advantage plans and 899 were stand-alone plans. For an older adult enrolled in any Medicare PDP in 2019, the median annual out-of-pocket costs for individual conditions varied, from a minimum of $32 (IQR, $6-$48) for guideline-recommended management of osteoporosis (a decrease from $128 [IQR, $102-$183] in 2009) to a maximum of $1579 (IQR, $1524-$2229) for guideline-recommended management of atrial fibrillation (an increase from $91 [IQR, $73-$124] in 2009). For an older adult with a cluster of 5 commonly comorbid conditions (COPD, hypertension, osteoarthritis, osteoporosis, and type 2 diabetes) enrolled in any PDP, the median out-of-pocket cost in 2019 was $1999 (IQR, $1630-$2564), a 12% decrease from $2284 (IQR, $1920-$3107) in 2009. For an older adult with all 8 chronic conditions (atrial fibrillation, COPD, diabetes, hypercholesterolemia, heart failure, hypertension, osteoarthritis, and osteoporosis) enrolled in any PDP, the median out-of-pocket cost in 2019 was $3630 (IQR, $3234-$5197), a 41% increase from $2571 (IQR, $2185-$3719) in 2009.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, out-of-pocket costs for guideline-recommended outpatient medications for the initial treatment of 8 common chronic diseases varied by condition. Although costs generally decreased between 2009 and 2019, particularly with regard to conditions for which generic drugs were available, out-of-pocket costs remained high and may have presented a substantial financial burden for Medicare beneficiaries, especially older adults with conditions for which brand-name drugs were guideline recommended.

Leveraging survey and claims data to identify high-need Medicare beneficiaries in the National Health and Aging Trends Study

BACKGROUND

Multiple algorithms have been developed to identify and characterize the high-need (HN) Medicare population. However, they vary in components and yield different populations, and were developed for varying purposes. We compared the performance of existing survey and claims-based definitions in identifying HN beneficiaries and predicting poor outcomes among a community-dwelling population.

METHODS

A retrospective cohort study using Round 5 (2015) of the National Health and Aging Trends Study (NHATS) linked with Medicare claims. We applied HN definitions from previous studies to our cohort of community-dwelling, fee-for-service beneficiaries (n = 4201) using sampling weights to obtain nationally representative estimates. The Bélanger et al. (2019) definition defines HN as individuals with complex conditions, multi-morbidity, acute and post-acute healthcare utilization, dependency in activities of daily living, and frailty. The Hayes et al. (2016) definition defines HN as individuals with 3+ chronic conditions and a functional limitation. We applied each definition to survey and claims data. Outcomes were hospitalization or mortality in the subsequent year.

RESULTS

The proportion of NHATS respondents classified as HN varied greatly across definitions, ranging from 3.1% using the claims-based Hayes definition to 32.9% using the survey-based Bélanger definition. HN respondents had significantly higher mortality and hospitalization rates in 2016. Although all definitions had good specificity, none were able to predict outcomes in the following year with good accuracy.

CONCLUSIONS

While mortality and hospitalization rates were significantly higher among respondents classified as HN, existing claims and survey-based HN definitions were not able to accurately predict future outcomes in a community-dwelling, nationally representative sample measured by the area under the curve.

Multimorbidity measures from health administrative data using ICD system codes: A systematic review

BACKGROUND

We aimed to identify and characterize adult population-based multimorbidity measures using health administrative data and the International Classification of Diseases (ICD) codes for disease identification.

METHODS

We performed a narrative systematic review of studies using or describing development or validation of multimorbidity measures. We compared the number of diseases included in the measures, the process of data extraction (case definition) and the validation process. We assessed the methodological robustness using eight criteria, five based on general criteria for indicators (AIRE instrument) and three multimorbidity-specific criteria.

RESULTS

Twenty-two multimorbidity measures were identified. The number of diseases they included ranged from 5 to 84 (median = 20), with 19 measures including both physical and mental conditions. Diseases were identified using ICD codes extracted from inpatient and outpatient data (18/22) and sometimes including drug claims (10/22). The validation process relied mainly on the capacity of the measures to predict health outcome (5/22), or on the validation of each individual disease against a gold standard (8/22). Six multimorbidity measures met at least six of the eight robustness criteria assessed.

CONCLUSION

There is significant heterogeneity among the measures used to assess multimorbidity in administrative databases, and about a third are of low to moderate quality. A more consensual approach to the number of diseases or groups of diseases included in multimorbidity measures may improve comparison between regions, and potentially provide better control for multimorbidity-related confounding in studies.

Emerging models of care for individuals with multiple chronic conditions

OBJECTIVE

To characterize emerging and current practice models to more effectively treat and support patients with multiple chronic conditions (MCC).

DATA SOURCES/STUDY SETTING

We conducted a rapid literature scoping augmented by key informant interviews with clinicians knowledgeable about MCC care from a broad spectrum of US delivery systems and feedback from multidisciplinary experts at two virtual meetings.

STUDY DESIGN

Literature findings were triangulated with data from semi-structured interviews with clinical experts. Reflections on early results were obtained from policy, research, clinical, advocacy, and patient representatives at two virtual meetings sponsored by the Agency for Healthcare Research and Quality. Emergent themes addressed were as follows: (1) more timely strategies for MCC care; and (2) trends not previously represented in the peer-reviewed literature.

DATA COLLECTION/EXTRACTION METHODS

The rapid literature scoping relied on Ovid MEDLINE(R) and Epub Ahead of Print databases for the most recent 5-year period. Qualitative interviews were conducted by telephone. Virtual meetings provided oral and written (chat) captured inputs.

PRINCIPAL FINDINGS

Although the literature scoping did not identify a specific set of evidence-based care models, key informant discussions identified eight themes reflecting emerging approaches to population-based MCC care. For example, addressing the needs of individuals with MCC through a complexity lens by assessing and addressing social risk factors; extending the care continuum with home-based care; understanding how to address ongoing patient and caregiver supports outside of clinical encounters; and engaging available community resources.

CONCLUSIONS

Integrating care for MCC patient populations requires processes for determining different subpopulation needs in various settings and lived experiences. Innovation should be anchored at the nexus of payment systems, social risks, medical needs, and community-based resources. Our learnings suggest a need for an ongoing MCC care research agenda to inform new approaches to care delivery incorporating innovations in technology and home-based supports for patients and caregivers.

Characteristics of dyadic care types among patients living with multiple chronic conditions and their informal caregivers

AIMS

To examine the distribution of dyadic care types in multiple chronic conditions, compare self-care and caregiver contributions to patients' self-care in each care type and identify the patient and caregiver characteristics associated with each care type.

DESIGN

Secondary analysis of a multicentre, cross-sectional study.

METHODS

Patient-caregiver dyads were enrolled from outpatient clinics and community settings. The Dyadic Symptom Management Type Scale was used to categorize dyads by type. Self-care, self-efficacy, comorbidities and cognitive impairment were measured in patients, whereas caregiver contributions to patient self-care, self-efficacy, caregiver burden and hours of caregiving were measured in caregivers. Sociodemographic characteristics perceived social support and mutuality were measured in both patients and caregivers. Univariate and multivariate analyses were performed.

RESULTS

A sample of 541 patient-caregiver dyads was examined. The most frequent dyadic care type was the collaborative-oriented (63%). In the patient-oriented type, patients scored higher on self-care compared with caregivers; in the caregiver-oriented and collaborative types, caregivers scored higher than patients supporting the typology. The patient-oriented type was associated with younger, healthier male patients with better cognitive status, who scored higher for mutuality and whose caregivers scored lower for burden. The caregiver-oriented type was associated with older, less educated patients, with caregivers experiencing higher burden and unemployment. The collaborative type was associated with sicker patients, with the caregiver more probably to be female and employed, with higher perceived social support, mutuality and burden. The incongruent dyadic care type was associated with lower caregiver mutuality.

IMPACT

In the context of multiple chronic conditions, clinicians should consider targeting any educational interventions aimed at improving patient self-care and caregiver contributions to self-care by dyadic care types.

Addressing Diabetes Distress in Self-Management Programs: Results of a Randomized Feasibility Study

BACKGROUND

West Virginia ranks 1st nationally in the prevalence of hypertension (HTN; 43.8%) and diabetes (16.2%). Patients with type 2 diabetes mellitus (T2DM) are distressed over physical and psychological burden of disease self-management.

METHODS

This study investigated the effectiveness of an intervention to reduce diabetes distress and outcomes [glycemic control, blood pressure (BP)] among T2DM adults with comorbid HTN. Participants were randomized to a 12-week diabetes and hypertension self-management program versus a 3-month wait-listed control group. Trained health coaches and experts implemented the lifestyle program in a faith-based setting using an adapted evidence-based curriculum. Twenty adults with T2DM and HTN (n=10 per group) completed baseline and 12-week assessments. Diabetes distress was measured by using a validated Diabetes Distress Survey (17-item Likert scale; four sub-scales of emotional burden, physician related burden, regimen related burden, and interpersonal distress). Baseline and post-intervention changes in diabetes distress were compared for both groups; reduction in distress in the intervention groups are depicted using waterfall plots. The mean age, HbA1c and BMI were 55 ± 9.6 years, 7.8 ± 2.24 and 36.4 ± 8.8, respectively. Diabetes distress (total; mean) was 1.84±0.71.

RESULTS

Participants reported higher diabetes distress related to emotional burden (2.1±0.94) and regimen-related distress (2.0 ± 0.74); physician-related distress was the lowest (1.18±0.64). In general, diabetes distress reduced among intervention participants and was especially significant among those with HbA1c ≤ 8% (r=0.28, p=0.4), and systolic/diastolic BP ≤140/80 mm Hg (r=0.045, P=0.18).

IMPLICATIONS

Findings suggest that lifestyle self-management programs have the potential to reduce diabetes distress.

Impact of medication therapy management service on selected clinical and humanistic outcomes in the ambulatory diabetes patients of Tikur Anbessa Specialist Hospital, Addis Ababa, Ethiopia

BACKGROUND

Diabetes mellitus (DM) patients are at increased risk of developing drug therapy problems (DTPs). The patients had a variety of comorbidities and complications, and they were given multiple medications. Medication therapy management (MTM) is a distinct service or group of services that optimize therapeutic outcomes for individual patients. The study assessed the impact of provision of MTM service on selected clinical and humanistic outcomes of diabetes patients at the diabetes mellitus clinic of Tikur Anbessa Specialized Hospital (TASH).

METHODS

A pre-post interventional study design was carried out at DM clinic from July 2018 to April 2019. The intervention package included identifying and resolving drug therapy problems, counseling patients in person at the clinic or through telephone calls, and providing educational materials for six months. This was followed by four months of post-intervention assessment of clinical outcomes, DTPs, and treatment satisfaction. The interventions were provided by pharmacist in collaboration with physician and nurse. The study included all adult patients who had been diagnosed for diabetes (both type I & II) and had been taking anti-diabetes medications for at least three months. Patients with gestational diabetes, those who decided to change their follow-up clinic, and those who refused to participate in the study were excluded. Data were analyzed using Statistical Package for the Social Sciences (SPSS). Descriptive statistics, t-test, and logistic regressions were performed for data analyses.

RESULTS

Of the 423 enrolled patients, 409 fulfilled the criteria and included in the final data analysis. The intervention showed a decrease in average hemoglobin A1c (HbA1c), fasting blood sugar (FBS), and systolic blood pressure (SBP) by 0.92%, 25.04 mg/dl, and 6.62 mmHg, respectively (p<0.05). The prevalence of DTPs in the pre- and post-intervention of MTM services was found to be 72.9% and 26.2%, respectively (p<0.001). The overall mean score of treatment satisfaction was 90.1(SD, 11.04). Diabetes patients of age below 40 years (92.84 (SD, 9.54)), type-I DM (93.04 (SD, 9.75)) & being on one medication regimen (93.13(SD, 9.17)) had higher satisfaction score (p<0.05).

CONCLUSION

Provision of MTM service had a potential to reduce DTPs, improve the clinical parameters, and treatment satisfaction in the post-intervention compared to the pre-intervention phase.

Sex differences in multimorbidity and polypharmacy trends: A repeated cross-sectional study of older adults in Ontario, Canada

Background

Multimorbidity is increasing among older adults, but the impact of these recent trends on the extent and complexity of polypharmacy and possible variation by sex remains unknown. We examined sex differences in multimorbidity, polypharmacy (5+ medications) and hyper-polypharmacy (10+ medications) in 2003 vs 2016, and the interactive associations between age, multimorbidity level, and time on polypharmacy measures.

Methods and findings

We employed a repeated cross-sectional study design with linked health administrative databases for all persons aged ≥66 years eligible for health insurance in Ontario, Canada at the two index dates. Descriptive analyses and multivariable logistic regression models were conducted; models included interaction terms between age, multimorbidity level, and time period to estimate polypharmacy and hyper-polypharmacy probabilities, risk differences and risk ratios for 2016 vs 2003. Multimorbidity, polypharmacy and hyper-polypharmacy increased significantly over the 13 years. At both index dates prevalence estimates for all three were higher in women, but a greater absolute increase in polypharmacy over time was observed in men (6.6% [from 55.7% to 62.3%] vs 0.9% [64.2%-65.1%] for women) though absolute increases in multimorbidity were similar for men and women (6.9% [72.5%-79.4%] vs 6.2% [75.9%-82.1%], respectively). Model findings showed that polypharmacy decreased over time among women aged < 90 years (especially for younger ages and those with fewer conditions), whereas it increased among men at all ages and multimorbidity levels (with larger absolute increases typically at older ages and among those with 4 or fewer conditions).

Conclusions

There are sex and age differences in the impact of increasing chronic disease burden on changes in measures of multiple medication use among older adults. Though the drivers and health consequences of these trends warrant further investigation, the findings support the heterogeneity and complexity in the evolving association between multimorbidity and polypharmacy measures in older populations.

Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review

BACKGROUND

Multimorbidity presents a key challenge to healthcare systems globally. However, heterogeneity in the definition of multimorbidity and design of epidemiological studies results in difficulty in comparing multimorbidity studies. This scoping review aimed to describe multimorbidity prevalence in studies using large datasets and report the differences in multimorbidity definition and study design.

METHODS

We conducted a systematic search of MEDLINE, EMBASE, and CINAHL databases to identify large epidemiological studies on multimorbidity. We used the Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews (PRISMA-ScR) protocol for reporting the results.

RESULTS

Twenty articles were identified. We found two key definitions of multimorbidity: at least two (MM2+) or at least three (MM3+) chronic conditions. The prevalence of multimorbidity MM2+ ranged from 15.3% to 93.1%, and 11.8% to 89.7% in MM3+. The number of chronic conditions used by the articles ranged from 15 to 147, which were organized into 21 body system categories. There were seventeen cross-sectional studies and three retrospective cohort studies, and four diagnosis coding systems were used.

CONCLUSIONS

We found a wide range in reported prevalence, definition, and conduct of multimorbidity studies. Obtaining consensus in these areas will facilitate better understanding of the magnitude and epidemiology of multimorbidity.

A model exploring the relationship between nutrition knowledge, behavior, diabetes self-management and outcomes from the dining with diabetes program

To examine the relationship between changes in participant's knowledge, beliefs, dietary behavior, diabetes self-management and program outcomes in West Virginia Dinning with Diabetes (DWD) program. We used a longitudinal pre-test and post-test study design and data from 2745 individuals with diabetes who participated from 2007 to 2012. The DWD was offered in community-based settings across the state as an educational program (five classes over a 3-month period). Associations between changes in the variables were examined by structural equation modeling using a path model in which changes in nutritional knowledge, beliefs and depression predicted changes in dietary behaviors and diabetes self-management which subsequently predicted program outcomes (e.g., follow-up with healthcare providers for diabetes care and education). Standardized regression weights are presented. Participant's mean age and duration of diabetes was 63 ± 11.5 and 7.2 ± 8.0 years, respectively. The majority were females, Whites and with less than high school education. Improvements in nutrition knowledge and belief predicted improvements in dietary behavior (β = 0.60, p < .001 and β = 0.11, p < .001, respectively) and diabetes self-management (β = 0.61, p < .001 and β = 0.10, p < .001, respectively) which in turn predicted improvements in program outcome (β = 0.41, p < .001). Diabetes self-management mediated the relationship between knowledge, dietary behavior and program outcomes. The indexes of fit for the tested model indicated a good fit [TLI =0.99, CFI = 0.95, and Root Mean Square Error of Approximation (RMSEA) =0.05]. Results indicate DWD group sessions can be effective in supporting individuals with diabetes to change knowledge, dietary behaviors, adherence to self-management and follow-up provider visits for diabetes care.

The Association of Advance Care Planning Documentation and End-of-Life Healthcare Use Among Patients With Multimorbidity

PURPOSE

Multimorbidity is associated with increased intensity of end-of-life healthcare. This association has been examined by number but not type of conditions. Our purpose was to understand how intensity of care is influenced by multimorbidity within specific chronic conditions to provide guidance for interventions to improve end-of-life care for these patients.

METHODS

We identified adults cared for in a multihospital healthcare system who died between 2010-2017. We categorized patients by 4 primary chronic conditions: heart failure, pulmonary disease, renal disease, or dementia. Within each condition, we examined the effect of multimorbidity (presence of 4 or more chronic conditions) on hospital and ICU admission in the last 30 days of life, in-hospital death, and advance care planning (ACP) documentation >30 days before death. We performed logistic regression to estimate associations between multimorbidity and end-of-life care utilization, stratified by the presence or absence of ACP documentation.

RESULTS

ACP documentation >30 days before death was associated with lower odds of in-hospital death for all 4 conditions both in patients with and without multimorbidity. With the exception of patients with renal disease without multimorbidity, we observed lower odds of hospitalization and ICU admission for all patients with ACP >30 days before death.

CONCLUSIONS

Patients with dementia and multimorbidity had the highest odds of high-intensity end-of-life care. For patients with dementia, heart failure, or pulmonary disease, ACP documentation >30 days before death was associated with lower likelihood of in-hospital death, hospitalization, and ICU use at end-of-life, regardless of multimorbidity.

Impact of an 8-Year Intensive Lifestyle Intervention on an Index of Multimorbidity

BACKGROUND/OBJECTIVES

Type 2 diabetes mellitus and obesity are sometimes described as conditions that accelerate aging. Multidomain lifestyle interventions have shown promise to slow the accumulation of age-related diseases, a hallmark of aging. However, they have not been assessed among at-risk individuals with these two conditions. We examined the relative impact of 8 years of a multidomain lifestyle intervention on an index of multimorbidity.

DESIGN

Randomized controlled clinical trial comparing an intensive lifestyle intervention (ILI) that targeted weight loss through caloric restriction and increased physical activity with a control condition of diabetes support and education (DSE).

SETTING

Sixteen U.S. academic centers.

PARTICIPANTS

A total of 5,145 volunteers, aged 45 to 76, with established type 2 diabetes mellitus and overweight or obesity who met eligibility criteria for a randomized controlled clinical trial.

MEASUREMENTS

A multimorbidity index that included nine age-related chronic diseases and death was tracked over 8 years of intervention delivery.

RESULTS

Among individuals assigned to DSE, the multimorbidity index scores increased by an average of .98 (95% confidence interval [CI] = .94-1.02) over 8 years, compared with .89 (95% CI = .85-.93) among those in the multidomain ILI, which was a 9% difference (P = .003). Relative intervention effects were similar among individuals grouped by baseline body mass index, age, and sex, and they were greater for those with lower levels of multimorbidity index scores at baseline.

CONCLUSIONS

Increases in multimorbidity over time among adults with overweight or obesity and type 2 diabetes mellitus may be slowed by multidomain ILI. J Am Geriatr Soc 68:2249-2256, 2020.

Association of Multimorbidity with Cardiovascular Endpoints and Treatment Effectiveness in Patients 75 Years and Older with Atrial Fibrillation

BACKGROUND

The burden imposed by multimorbidity on outcomes and on the effectiveness of atrial fibrillation therapies in elderly adults with atrial fibrillation is unknown.

METHODS

Patients with nonvalvular atrial fibrillation ages ≥75 years in the MarketScan Medicare Supplemental database from 2007-2015. Prevalence of 14 chronic conditions at the time of atrial fibrillation diagnosis were obtained and classified as cardiometabolic or noncardiometabolic. Cox regression estimated the associations of the number and type of conditions with stroke, severe bleeding, and heart failure hospitalizations. Tests for interaction were assessed between atrial fibrillation treatments and multimorbidity.

RESULTS

Among 275,617 patients with atrial fibrillation (mean age 83 years, 51% women), the mean (SD) number of conditions per participant was 3.0 (2.1). Over a mean follow-up of 23 months, 7814 strokes, 13,622 severe bleeds, and 19,252 heart failure events occurred. After adjustment, an increase in the number of cardiometabolic conditions was associated with greater risk of stroke (hazard ratio [HR] 1.07; 95% confidence interval [CI], 1.05-1.10), severe bleeding (HR 1.09; 95% CI, 1.07-1.11), and heart failure (HR 1.19, 95% CI, 1.18-1.20). In contrast, number of noncardiometabolic conditions had weak or null associations with risk of cardiovascular endpoints. Overall, the effectiveness of atrial fibrillation treatment on stroke and heart failure were similar across multimorbidity status, but bleeding risk associated with atrial fibrillation treatments was higher in patients with overall and subgroup multimorbidity.

CONCLUSION

Cardiometabolic multimorbidity was associated with worse outcomes and modified bleeding risk in atrial fibrillation patients. These findings underscore the impact of cardiometabolic conditions on atrial fibrillation outcomes and highlights the need to incorporate multimorbidity management in atrial fibrillation treatment guidelines.

Use of Chronic Care Management Among Primary Care Clinicians

The Centers for Medicare and Medicade Services (CMS) initiated chronic care management (CCM) codes to reimburse clinicians for coordination activities, but little is known about uptake over time. We find that primary care clinicians drove increasing use over 4 years-a trend that may reflect either new coordination activities or new reimbursements for existing activities. That 5% of chronic care management was denied by Medicare underscores the need for future work evaluating facilitators and barriers to use. Such insight is especially vital given the large number of eligible beneficiaries that have not received chronic care management to date, as well as the limited number of clinicians who currently deliver these services.

Interventions to Support Family Caregivers in Pain Management: A Systematic Review

CONTEXT

Family caregivers encounter many challenges when managing pain for their loved ones. There is a lack of clear recommendations on how to prepare caregivers in pain management.

OBJECTIVES

To evaluate existing interventions that support family caregivers in providing pain management to patients with all disease types.

METHODS

Four electronic databases were systematically searched (PubMed, Cumulative Index for Nursing Allied Health Literature, PsycINFO, and Scopus) using index and keyword methods for articles published before December 2019. The Mixed Methods Appraisal Tool was used to assess the quality.

RESULTS

The search identified 6851 studies, and 25 studies met the inclusion criteria. Only two studies exclusively focused on noncancer populations (8%). Three types of interventions were identified in this review: educational interventions, cognitive-behavioral interventions, and technology-based interventions. Both educational and cognitive-behavioral interventions improved family caregiver and patient outcomes, but the content and intensity of these interventions in these studies varied widely, and there was a limited number of randomized clinical trials (68%). Hence, it is unclear what strategies are most effective to prepare family caregivers in pain management. Technology-based interventions were feasible to support family caregivers in providing pain management.

CONCLUSION

Providing adequate pain management training can improve patient and family caregiver outcomes. However, the most effective interventions for family caregivers are still unclear. More rigorous and replicable clinical trials are needed to examine the effects of educational interventions, cognitive-behavioral interventions, and technology-based interventions. Also, more studies are needed in patients with a noncancer diagnosis or multimorbidity.

Role of Interprofessional primary care teams in preventing avoidable hospitalizations and hospital readmissions in Ontario, Canada: a retrospective cohort study

BACKGROUND

Improving health system value and efficiency are considered major policy priorities internationally. Ontario has undergone a primary care reform that included introduction of interprofessional teams. The purpose of this study was to investigate the relationship between receiving care from interprofessional versus non-interprofessional primary care teams and ambulatory care sensitive condition (ACSC) hospitalizations and hospital readmissions.

METHODS

Population-based administrative databases were linked to form data extractions of interest between the years of 2003-2005 and 2015-2017 in Ontario, Canada. The data sources were available through ICES. The study design was a retrospective longitudinal cohort. We used a "difference-in-differences" approach for evaluating changes in ACSC hospitalizations and hospital readmissions before and after the introduction of interprofessional team-based primary care while adjusting for physician group, physician and patient characteristics.

RESULTS

As of March 31st, 2017, there were a total of 778 physician groups, of which 465 were blended capitation Family Health Organization (FHOs); 177 FHOs (22.8%) were also interprofessional teams and 288 (37%) were more conventional group practices ("non-interprofessional teams"). In this period, there were a total of 13,480 primary care physicians in Ontario of whom 4848 (36%) were affiliated with FHOs-2311 (17.1%) practicing in interprofessional teams and 2537 (18.8%) practicing in non-interprofessional teams. During that same period, there were 475,611 and 618,363 multi-morbid patients in interprofessional teams and non-interprofessional teams respectively out of a total of 2,920,990 multi-morbid adult patients in Ontario. There was no difference in change over time in ACSC admissions between interprofessional and non-interprofessional teams between the pre- and post intervention periods. There were no statistically significant changes in all cause hospital readmission s between the post- and pre-intervention periods for interprofessional and non-interprofessional teams.

CONCLUSIONS

Our study findings indicate that the introduction of interprofessional team-based primary care was not associated with changes in ACSC hospitalization or hospital readmissions. The findings point for the need to couple interprofessional team-based care with other enablers of a strong primary care system to improve health services utilization efficiency.

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.

County-Level Concentration of Selected Chronic Conditions Among Medicare Fee-for-Service Beneficiaries and Its Association with Medicare Spending in the United States, 2017

Multiple chronic conditions (MCC) reduce quality of life and are associated with high per capita health care spending. One potential way to reduce Medicare spending for MCC is to identify counties whose populations have high levels of spending compared to level of disease burden. Using a nationally representative sample of Medicare Fee-for-Service beneficiaries, this paper presents a method to measure the collective burden of several chronic conditions in a population, which the authors have termed the concentration of chronic conditions (CCC). The authors observed a significantly positive linear relationship between the CCC measure and county-level per capita Medicare spending. This area-level measure can be operationalized to identify counties that might benefit from targeted efforts designed to optimally manage and prevent chronic illness.

Patient and caregiver contributions to self-care in multiple chronic conditions: A multilevel modelling analysis

BACKGROUND

Multiple chronic conditions (MCC) are highly prevalent worldwide, especially among older populations. Patient self-care and care partner (or caregiver) contributions to self-care are recommended to reduce the impact of MCC and improve patients' outcomes.

OBJECTIVES

To describe patient self-care and care partner contributions to self-care and to identify determinants of patient self-care and care partner contributions to self-care at the patient and care partner level.

DESIGN

Multicentre cross-sectional study.

SETTING

Outpatient and community settings in Italy.

PARTICIPANTS

A sample of 340 patients with MCC and care partner dyads was recruited between 2017 and 2018.

METHODS

We measured patient's self-care and care partner contributions to self-care in dyads using the Self-care of Chronic Illness Inventory and the Caregiver Contribution to Self-care of Chronic Illness Inventory. To control for dyadic interdependence, we performed a multilevel modelling analysis.

RESULTS

Patients' and care partners' mean ages were 76.65 (± 7.27) and 54.32 (± 15.25), respectively. Most care partners were female and adult children or grandchildren. The most prevalent chronic conditions in patients were diabetes (74%) and heart failure (34%). Patients and care partners reported higher levels of self-care monitoring than self-care maintenance and management behaviours. Important patient clinical determinants of self-care included cognitive status, number of medications and type of chronic condition. Care partner determinants of self-care contributions included age, gender, education, perceived income, care partner burden, caregiving hours per week and the presence of a secondary care partner.

CONCLUSIONS

Our findings support the importance of taking a dyadic approach when focusing on patients with MCC and their care partners. More dyadic longitudinal research is recommended to reveal the modifiable determinants of self-care and the complex relationships between patients and care partners in the context of MCC.

Persistence of High-Need Status Over Time Among Fee-for-Service Medicare Beneficiaries

Although administrative claims data can be used to identify high-need (HN) Medicare beneficiaries, persistence in HN status among beneficiaries and subsequent variation in outcomes are unknown. We use national-level claims data to classify Fee-for-Service (FFS) Medicare beneficiaries as HN annually among beneficiaries continuously enrolled between 2013 and 2015. To examine persistence of HN status over time, we categorize longitudinal patterns in HN status into being never, newly, transiently, and persistently HN and examine differences in patients' demographic characteristics and outcomes. Among survivors, 23% of beneficiaries were HN at any time-4% persistently HN, 13% transiently HN, and 6% newly HN. While beneficiaries who were persistently HN had higher mortality, utilization, and expenditures, classification as HN at any time was associated with poor outcomes. These findings demonstrate longitudinal variability of HN status among FFS beneficiaries and reveal the pervasiveness of poor outcomes associated with even transitory HN status over time.

Local Area Variation in Morbidity Among Low-Income, Older Adults in the United States: A Cross-sectional Study

Background

Recent studies have reported that low-income adults living in more affluent areas of the United States have longer life expectancies. Less is known about the relationship between the affluence of a geographic area and morbidity of the low-income population.

Objective

To evaluate the association between the prevalence of chronic conditions among low-income, older adults and the economic affluence of a local area.

Design

Cross-sectional association study.

Setting

Medicare in 2015.

Participants

6 363 097 Medicare beneficiaries aged 66 to 100 years with a history of low-income support under Medicare Part D.

Measurements

Adjusted prevalence of 48 chronic conditions was computed for 736 commuting zones (CZs). Factor analysis was used to assess spatial covariation of condition prevalence and to construct a composite condition prevalence index for each CZ. The association between morbidity and area affluence was measured by comparing the average of condition prevalence index across deciles of median CZ house values.

Results

The mean age of study participants was 77.7 years (SD, 8.2); 67% were women, and 61% were white. The crude prevalence of 48 chronic conditions ranged from 72.5 per 100 for hypertension to 0.6 per 100 for posttraumatic stress disorder. The prevalence of these 48 chronic conditions was highly spatially correlated. Composite condition prevalence was on average substantially lower in more affluent CZs.

Limitation

Low-income status measured on the basis of receipt of Medicare Part D low-income subsidies and not capturing persons not enrolled in Medicare Part D.

Conclusion

Low-income, older adults living in more affluent areas of the country are healthier, and areas with poor health in the low-income, older adult population tend to have a high prevalence of most chronic conditions.

Primary Funding Source

National Institute on Aging.

Differences in Function and Comorbidities Between Older Adult Users and Nonusers of Chiropractic and Osteopathic Manipulation: A Cross-sectional Analysis of the 2012 National Health Interview Survey

OBJECTIVE

The purpose of this cross-sectional study was to compare functional limitations and comorbidity prevalence between older adult users and nonusers of chiropractic and osteopathic (DC/DO) manipulation to inform provider training.

METHODS

We conducted a secondary analysis of the 2012 National Health Interview Survey data. Adults age 65 or older who responded to the survey were included. Descriptive statistics are reported for adults who used DC/DO manipulation (vs nonusers) regarding function, comorbidities, musculoskeletal complaints, and medical services. Weighted percentages were derived using SAS and compared with χ² tests.

RESULTS

The DC/DO users were more often female, overweight or obese, and of white race than nonusers. More DC/DO users reported arthritis (55.3% vs 47.0%, <0.01) or asthma (15.0% vs 10.0%, P < .01) than nonusers; hypertension (61.9% vs 55.5%, P = .02) and diabetes (20.3% vs 15.7%, P = .02) were more prevalent in nonusers; and other comorbidities were comparable. The DC/DO users reported more joint pain/stiffness (55.7% vs 44.8%), chronic pain (19.8% vs 14.2%), low back pain (27.8% vs 18.4%), low back with leg pain (18.8% vs 10.6%), and neck pain (24.2% vs 13.1%) than nonusers (all P < .01). Functional limitations affected two-thirds overall, but DC/DO users reported more difficulties stooping and bending; other limitations were comparable. One in 9 reported activities of daily living or instrumental activities of daily living limitations; nonusers were more affected. Surgery was more common among DC/DO users (26.1% vs 19.3%, <0.01); emergency room visits were comparable.

CONCLUSION

Differences existed between older adult manipulation users and nonusers, especially surgical utilization, musculoskeletal complaints, and comorbidities; functional differences were modest. Our findings highlight areas for provider training and awareness regarding comorbidity burden and management needs in older patients who may simultaneously use manipulation and medical care for musculoskeletal complaints.

Effects of glucagon-like peptide 1 receptor agonists on comorbidities in older patients with diabetes mellitus

Elderly patients with diabetes are at high risk of polypharmacy because of multiple coexisting diseases and syndromes. Polypharmacy increases the risk of drug–drug and drug–disease interactions in these patients, who may already have age-related sensory and cognitive deficits; such deficits may delay timely communication of early symptoms of adverse drug events. Several glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have been approved for diabetes: liraglutide, exenatide, lixisenatide, dulagluatide, semaglutide, and albiglutide. Some are also approved for treatment of obesity. The current review of literature along with clinical case discussion provides evidence supporting GLP-1 RAs as diabetes medications for polypharmacy reduction in older diabetes patients because of their multiple pleiotropic effects on comorbidities (e.g. hyperlipidemia, hypertension, and fatty liver) and syndromes (e.g. osteoporosis and sleep apnea) that commonly co-occur with diabetes. Using one medication (in this case, GLP-1 RAs) to address multiple conditions may help reduce costs, medication burden, adverse drug events, and medication nonadherence.

A Platform and Clinical Model to Enable Medicare's Chronic Care Management Program

In 2015, the Centers for Medicare & Medicaid Services (CMS) implemented a new benefit called chronic care management (CCM). A recent CMS-commissioned study of the program showed that CCM is effective in increasing advance care planning and decreasing overall costs. Despite positive effects on care planning, utilization, and cost, the CCM program remains underutilized. The authors sought to develop a platform to enable scale of the CCM program, and to report outcomes associated with its use. A technology and integrated clinical staff platform was built to enable a scalable, evidence-based implementation of the Medicare CCM program. The model created care management data elements that were used to flag clinical and utilization risks such as falls, mortality, hospitalization and polypharmacy. In 2018, CCM support was provided for 26,500 patients. Logistic regression analyses were used to identify risk factors associated with hospitalization. The cohort experienced 2679 hospitalizations (184 admissions per 1000 patient months per year). Among patients residing in non-nursing home settings, a higher Gagne mortality risk was associated with a 32 times greater chance of being hospitalized. Other positive predictors of hospitalization included being a nursing home resident and being ambulatory without assistance. Negative predictors of hospitalization included being flagged as having a high hospitalization risk, and scoring in the low-risk category for falls or polypharmacy. This CCM model is a scalable method of supporting care management for people with multiple chronic conditions, and can help identify risk factors for hospitalization.

Self-Reported Pain Interference and Analgesic Characteristics in Rural Older Adults

BACKGROUND

Pain impacts the lives of millions of community-dwelling older adults. An important characteristic of pain is "pain interference" which describes the influence of pain on function. A description of pain interference is limited in rural settings where the number of older adults is expected to increase, and health disparities exist.

AIMS

The purpose of this study was to describe pain interference and analgesic medication use, highlighting those that may be potentially inappropriate in a sample of rural community-dwelling older adults.

DESIGN

This secondary analysis was from a cross sectional study.

SAMPLE AND SETTINGS

Data were analyzed from a sample of 138 rural community-dwelling older adults.

METHODS

Statistical analyses were performed on demographics, health characteristics, pain interference, and potentially inappropriate analgesic medication data.

RESULTS

Pain interference with work activity was reported by 76% of older adults overall, with 23% reporting moderate and 4% extreme interference, and 41% reported sleep difficulty due to pain. Higher pain interference was significantly associated with higher body mass index, more health providers, and the daily use of non-steroidal anti-inflammatory drugs (NSAIDs). Older women experienced more sleep difficulties due to pain. Over-the-counter analgesics were used most frequently by rural older adults to manage pain. Of most risk was the daily use of NSAIDs, in which only 30% used medications to protect the gastrointestinal system.

CONCLUSIONS

Older adults in rural settings experience pain interference and participate in independent-medicating behaviors that may impact safety.

Measuring the burden of multimorbidity among Medicare beneficiaries via condition counts and cumulative duration

OBJECTIVE

The study's purpose was to describe the cumulative duration of 19 chronic conditions among Medicare fee-for-service (FFS) beneficiaries and examine variation in total expenditures explained by cumulative duration and condition counts.

DESIGN, SETTING, STUDY DESIGN, AND DATA EXTRACTION

In a retrospective cohort of FFS beneficiaries age ≥68, 2015 Medicare enrollment and claims data (N = 20 124 230) were used to identify the presence or absence of 19 diagnosed chronic conditions, and to construct MCC categories (0-1, 2-3, 4-5, 6+) and cumulative duration of each of 19 conditions from the date of first possible occurrence in claims (1/1/1999) to the end of follow-up (date of death or 12/31/2015). Total Medicare expenditures were estimated using linear models adjusted for demographic characteristics.

PRINCIPAL FINDINGS

Multimorbidity was common (71.7 percent with 2+ conditions). The mean cumulative duration of all 19 conditions was 23.6 person-years, which varied greatly by age and number of conditions. Condition counts were more predictive of Medicare expenditures than cumulative duration (R-squared for continuous measures = 0.461 vs 0.272; R-squared for quartiles = 0.408 vs 0.266).

CONCLUSIONS

The cumulative duration of chronic conditions varied widely for Medicare beneficiaries, especially for those with 6+ conditions, but was less predictive of total expenditures than condition counts.

Measuring the burden of multimorbidity among Medicare beneficiaries via condition counts and cumulative duration

OBJECTIVE

The study's purpose was to describe the cumulative duration of 19 chronic conditions among Medicare fee-for-service (FFS) beneficiaries and examine variation in total expenditures explained by cumulative duration and condition counts.

DESIGN, SETTING, STUDY DESIGN, AND DATA EXTRACTION

In a retrospective cohort of FFS beneficiaries age ≥68, 2015 Medicare enrollment and claims data (N = 20 124 230) were used to identify the presence or absence of 19 diagnosed chronic conditions, and to construct MCC categories (0-1, 2-3, 4-5, 6+) and cumulative duration of each of 19 conditions from the date of first possible occurrence in claims (1/1/1999) to the end of follow-up (date of death or 12/31/2015). Total Medicare expenditures were estimated using linear models adjusted for demographic characteristics.

PRINCIPAL FINDINGS

Multimorbidity was common (71.7 percent with 2+ conditions). The mean cumulative duration of all 19 conditions was 23.6 person-years, which varied greatly by age and number of conditions. Condition counts were more predictive of Medicare expenditures than cumulative duration (R-squared for continuous measures = 0.461 vs 0.272; R-squared for quartiles = 0.408 vs 0.266).

CONCLUSIONS

The cumulative duration of chronic conditions varied widely for Medicare beneficiaries, especially for those with 6+ conditions, but was less predictive of total expenditures than condition counts.

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.

The Association between Chronic Obstructive Pulmonary Disease and Coronary Artery Disease in Patients Undergoing Coronary Angiography

Chronic obstructive pulmonary disease (COPD) and coronary artery disease (CAD) are leading causes of morbidity and mortality. There are conflicting results regarding the association between COPD and CAD. We sought to measure the association between COPD and angiographically diagnosed CAD in a population-based cohort. We performed a retrospective analysis using data from the Alberta Provincial Project for Outcomes Assessment in Coronary Heart Disease (APPROACH), a prospectively collected registry capturing all patients undergoing coronary angiography in Alberta, Canada, since 1995. We included adult patients who had undergone coronary angiogram between April 1, 2007 and March 31, 2014. CAD was present if at least one coronary artery had a significant stenosis ≥50%. COPD was present if the patient had a documented COPD history and was prescribed bronchodilators or inhaled steroids. We evaluated the association between COPD and CAD using univariable and multivariable logistic regression. There were 26,137 patients included with a mean age of 63.3 ± 12.2 years, and 19,542 (74.8%) were male. The crude odds ratio (OR) of having CAD was 0.83 (95% CI 0.74-0.92) for patients with COPD compared to those without COPD. The adjusted OR was 0.75 (95% CI 0.67-0.84) after controlling for age, sex, smoking history, body mass index, hypertension, diabetes, hyperlipidemia, peripheral artery disease and cardiac family history. In patients undergoing coronary angiography, COPD was negatively associated with CAD with and without the adjustment for classic risk factors. COPD patients should be properly examined for heart disease to reduce premature mortality.

Estimating State-Level Health Burden of Diabetes: Diabetes-Attributable Fractions for Diabetes Complications

INTRODUCTION

Limited information is available on the health burden of diabetes at the state level. This study estimated state-specific attributable fractions and the number of cases attributable to diabetes for diabetes-related complications.

METHODS

For each state, diabetes-attributable fractions for nine diabetes complications were estimated: three self-reported complications from the 2013 Behavioral Risk Factor Surveillance System, hospitalizations with three complications from 2011 to 2014 State Inpatient Databases, and three complications from 2013 Medicare data. Attributable fractions were calculated using RR and diabetes prevalence and the total number of cases using attributable fractions and total number of complications. Adjusted RR of each complication for people with and without diabetes by age and sex was estimated using a generalized linear model. Analyses were conducted in 2015-2016.

RESULTS

Median state-level diabetes-attributable fractions for self-reported complications were 0.14 (range, 0.10-0.19) for mobility limitations; 0.13 (range, 0.04-0.21) for limitations in instrumental activities of daily living; and 0.12 (range, 0.06-0.20) for severe visual impairment or blindness. Median state-level diabetes-attributable fractions for diabetes-associated hospitalizations were 0.19 (range, 0.08-0.24) for congestive heart failure; 0.08 (range, 0.02-0.16) for myocardial infarction; and 0.62 (range, 0.46-0.73) for lower extremity amputations. Median state-level diabetes-attributable fractions for complications among Medicare beneficiaries were 0.17 (range, 0.14-0.23) for coronary heart disease; 0.28 (range, 0.24-0.33) for chronic kidney disease; and 0.22 (range, 0.08-0.32) for peripheral vascular disease.

CONCLUSIONS

Diabetes carries a significant health burden, and results vary across states. Efforts to prevent or delay diabetes or to improve diabetes management could reduce the health burden because of diabetes.

State-level prevalence, health service use, and spending vary widely among Medicare beneficiaries with Parkinson disease

State-level variations in disease, healthcare utilization, and spending influence healthcare planning at federal and state levels and should be examined to understand national disparities in health outcomes. This descriptive study examined state-level variations in Parkinson disease (PD) prevalence, patient characteristics, Medicare spending, out-of-pocket costs, and health service utilization using data on 27.5 million Medicare beneficiaries in the US in 2014. We found that 45.8% (n = 179,496) of Medicare beneficiaries diagnosed with PD were women; 26.1% (n = 102,205) were aged 85+. The District of Columbia, New York, Illinois, Connecticut, and Florida had the highest age-, race-, and sex-adjusted prevalence of Parkinson disease among Medicare beneficiaries in the US. Women comprised over 48.5% of PD patient populations in West Virginia, Kentucky, Mississippi, Louisiana, and Arkansas. More than 31% of the PD populations in Connecticut, Pennsylvania, Hawaii, and Rhode Island were aged 85+. PD patients who were "dual-eligible"-receiving both Medicare and Medicaid benefits-also varied by state, from <10% to >25%. Hospitalizations varied from 304 to 653 stays per 1000 PD patients and accounted for 26.5% of the 7.9 billion United States Dollars (USD) paid by the Medicare program for healthcare services delivered to our sample. A diagnosis of PD was associated with greater healthcare use and spending. This study provides initial evidence of substantial geographic variation in PD patient characteristics, health service use, and spending. Further study is necessary to inform the development of state- and federal-level health policies that are cost-efficient and support desired outcomes for PD patients.

Impact of diffuse large B-cell lymphoma on visits to different provider specialties among elderly Medicare beneficiaries: challenges for care coordination

Newly diagnosed diffuse large B-cell lymphoma (DLBCL) can pose significant challenges to care coordination. We utilized a social-ecological model to understand the impact of DLBCL diagnosis on visits to primary care providers (PCPs) and specialists, a key component of care coordination, over a 3-year period of cancer diagnosis and treatment. We used hurdle models and multivariable logistic regression with the Surveillance Epidemiology and End Result-Medicare linked dataset to analyze visits to PCPs and specialists by DLBCL patients (n = 5,455) compared with noncancer patients (n = 14,770). DLBCL patients were more likely to visit PCPs (adjusted odds ratio, AOR [95% confidence interval, CI]: 1.25 [1.18, 1.31]) and had greater number of visits to PCPs (β, SE: 0.384, -0.014) than noncancer patients. Further, DLBCL patients were more likely to have any visit to cardiologists (AOR [95% CI]: 1.40 [1.32, 1.47]), endocrinologists (1.43, [1.21, 1.70]), and pulmonologists (1.51 [1.36, 1.67]) than noncancer patients. Among DLBCL patients, the number of PCP visits markedly increased during the treatment period compared with the baseline period (β, SE: 0.491, -0.028) and then decreased to baseline levels (-0.464, -0.022). Visits to PCPs and specialists were much more frequent for DLBCL patients than noncancer patients, which drastically increased during the DLBCL treatment period for chronic care. More chronic conditions, treatment side effects, and frequent testing may have increased visits to PCPs and specialists. Interventions to improve care coordination may need to target the DLBCL treatment period, when patients are most vulnerable to poor care coordination.