Cost-effectiveness of the adherence with recommendations for clinical monitoring of patients with diabetes.

BACKGROUND AND AIMS: To validate a set of indicators for monitoring the quality of care of patients with diabetes in 'real-life' practice through its relationship with measurable clinical outcomes and healthcare costs. METHODS AND RESULTS: A population-based cohort study was carried out by including the 20,635 patients, residents in the Lombardy Region (Italy), who in the year 2012 were newly taken-in-care for diabetes. Adherence with clinical recommendations (i.e., controls for glycated haemoglobin, lipid profile, urine albumin excretion and serum creatinine) was recorded during the first year after the patient was taken-in-care, and categorized according whether he/she complied with none or almost none (0 or 1), just some (2) or all or almost all (3 or 4) the recommendations, respectively denoted as poor, intermediate and high adherence. Short- and long-term complications of diabetes, and healthcare cost incurred by the National Health Service, were assessed during follow-up. Compared with patients with poor adherence, those with intermediate and high adherence respectively showed (i) a delay in outcome occurrence of 13 days (95% CI, -2 to 27) and 23 days (9-38), and (ii) a lower healthcare cost of 54 € and 77 €. In average, a gain of 18 Euros and 15 Euros for each day free from diabetic complication by increasing adherence respectively from poor to intermediate and from poor to high were observed. CONCLUSION: Close control of patients with diabetes through regular clinical examinations must be considered the cornerstone of national guidance, national audits, and quality improvement incentive schemes.

Differences in health outcomes for high-need high-cost patients across high-income countries.

OBJECTIVE: This study explores variations in outcomes of care for two types of patient personas-an older frail person recovering from a hip fracture and a multimorbid older patient with congestive heart failure (CHF) and diabetes. DATA SOURCES: We used individual-level patient data from 11 health systems. STUDY DESIGN: We compared inpatient mortality, mortality, and readmission rates at 30, 90, and 365 days. For the hip fracture persona, we also calculated time to surgery. Outcomes were standardized by age and sex. DATA COLLECTION/EXTRACTION METHODS: Data was compiled by the International Collaborative on Costs, Outcomes and Needs in Care across 11 countries for the years 2016-2017 (or nearest): Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. PRINCIPAL FINDINGS: The hip sample across ranged from 1859 patients in Aragon, Spain, to 42,849 in France. Mean age ranged from 81.2 in Switzerland to 84.7 in Australia, and the majority of hip patients across countries were female. The congestive heart failure (CHF) sample ranged from 742 patients in England to 21,803 in the United States. Mean age ranged from 77.2 in the United States to 80.3 in Sweden, and the majority of CHF patients were males. Average in-hospital mortality across countries was 4.1%. for the hip persona and 6.3% for the CHF persona. At the year mark, the mean mortality across all countries was 25.3% for the hip persona and 32.7% for CHF persona. Across both patient types, England reported the highest mortality at 1 year followed by the United States. Readmission rates for all periods were higher for the CHF persona than the hip persona. At 30 days, the average readmission rate for the hip persona was 13.8% and 27.6% for the CHF persona. CONCLUSION: Across 11 countries, there are meaningful differences in health system outcomes for two types of patients.

Bariloche: contrastes ocultos en un paraíso alpino: desigualdades socio-sanitarias en el espacio urbano / Bariloche: hidden contrasts in an alpine paradise: socio-sanitary inequalities in the urban space

INTRODUCCIÓN. La mayor parte de las desigualdades en salud observadas están relacionadas con desigualdades de otros planos de la vida social. Estudios de pequeñas áreas nos permiten visibilizar estos gradientes al descender el análisis a escalas más pequeñas. El objetivo de este estudio es relacionar la distribución espacial de enfermedad cardiovascular según condiciones de vida y lugar de atención. MATERIALES Y MÉTODOS. Se caracterizó la ciudad de Bariloche en base a las condiciones de vida de sus vecindarios seleccionando indicadores mediante un análisis factorial. Se ubicó espacialmente a la población atendida por diabetes e hipertensión arterial en los centros de salud. Se relevaron los registros médicos de esta población para analizar sus problemas de salud. Se analizó la distribución de cada dimensión y se calcularon las proporciones de las personas atendidas según condiciones de vida y lugar de atención. RESULTADOS. Casi la mitad (47,6%) de la población vive en vecindarios con condiciones de vida deficitarias y críticas. El 63,2% de las personas atendidas en centros de salud viven en vecindarios con peores condiciones de vida. Y la identificación de un gradiente positivo: ante peores condiciones de vida, mayor es la proporción de enfermedad cardiovascular. DISCUSIÓN. En el espacio urbano se entrelazan condiciones de vida con problemas de salud, configurándose distintas posibilidades de desarrollarlos. Al interior de una ciudad, pertenecer a determinada área implica la posibilidad/imposibilidad de acceder a niveles relativos de satisfacción de necesidades y presentar determinados problemas de salud. Permite identificar grupos y zonas críticas podría ser un insumo para el diseño de políticas públicas.

INTRODUCTION. Most of the observed health inequalities are related to inequalities in other contexts of social life. Local studies allow us to visualize these variations on a smaller scale. AIM. To examine spatial distribution of cardiovascular disease based on the living conditions and geographical location of health-care attention. Materials and Methods. Bariloche was characterized according to the living conditions of its neighborhoods by the selection of indicators through a factor analysis. The population treated for diabetes or hypertension in health-care centers was spatially distributed. Health problems were obtained from medical records. The distribution of each dimension was analyzed and the proportions of treated individuals according to living conditions and location of health-care attention were obtained. RESULTS. Almost half (47.6%) of the population lived in neighborhoods with deficient and cri-tical living conditions. Of those individuals treated for diabetes and/or hypertension, 63.2% lived in the neighborhoods with the worst living conditions. A positive gradient was identified: We identified a clear correlation between the overall quality of life and cardiovascular disease. DISCUSSION. In urban space, living conditions are closely related to health problems, establi-shing different possibilities to address the latter . In a city, residency in specific neighborhoods informs the possibilities / impossibilities to access to relative levels of needs satisfaction, and to develop certain outcomes. Identification of groups and critical zones could contribute to the development of specific public policies

[Medical expenses for diabetes care in Japan: Analysis of inter-prefecture differences].

Objectives　Medical expenses for diabetes differ between Japan's 47 prefectures. The medical care expenditure regulation plan aims to reduce regional differences in outpatient medical costs through prevention of severe diabetes, promotion of specific health checkups and specific health guidance, promotion of generic drugs, and proper use of medicines. To achieve this goal, we need to conduct an in-depth analysis of inter-prefecture differences in diabetes care expenses. This study analyzed regional differences in prescription fees for dipeptidyl peptidase-4 (DPP-4) inhibitors and the use of generic sulfonylureas (SUs), glinides, biguanides, α-glucosidase inhibitors (α-GIs), and thiazoline derivatives, using the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB). Furthermore, we analyzed regional differences in consultancy fees for dialysis prevention.Methods　We analyzed the 2nd NDB Open Data Japan website of the Ministry of Health, Labor, and Welfare. Pearson's correlation coefficient (r) was used to evaluate the relationship between the medical costs of diabetes and each factor. The correlation coefficient was analyzed with Student's t-test, and a P-value<0.05 was considered statistically significant.Results　Regarding oral hypoglycemic drugs, prefectures with a large number of DPP-4 inhibitors tended to have higher medical costs of diabetes (r=0.40, P=0.0048). Furthermore, such expenses tended to be low in prefectures where the use of generic SU drugs was high (r=-0.43, P=0.0023).Conclusions　In conclusion, the results revealed regional differences in the use of DPP-4 inhibitors and generic SU drugs, which may contribute to the regional differences in medical expenses for diabetes. This study suggests that NDB open data are useful for policy making to reduce regional differences in outpatient medical costs of diabetes.

Direct patient care services by community and ambulatory care pharmacists in Idaho.

Background Pharmacists are one of the most accessible but unoptimized healthcare providers in the community. They are medication experts and have authority to independently prescribe in Idaho. Through the provision of direct patient care services (i.e., those distinct from traditional prescription dispensing functions), pharmacists have a greater opportunity to impact chronic disease prevention and management across the state. This can be done by filling gaps in community care (e.g., prescribing recommended therapy) and directly managing and preventing chronic diseases. However, current practices surrounding pharmacist-provided direct patient care services are unknown. Objective To characterize direct patient care services provided by Idaho community and ambulatory care pharmacists as well as to assess individual pharmacists' and their work sites' capacity and barriers in providing and expanding services. Setting Community and ambulatory care pharmacists' work sites in Idaho. Method We administered a cross-sectional, electronic, 20-min survey to Idaho community and ambulatory care pharmacists. Main outcome measure The survey focused on collecting data on current practices, capacity, and barriers related to pharmacist-provided direct patient care services. Results The survey was completed by 280 eligible community and ambulatory care pharmacists with the majority of respondents (n = 250) offering pharmacist-provided direct patient care services. Pharmacists most often prescribed therapy for tobacco cessation (nicotine replacement, bupropion, varenicline), naloxone, and devices for patients with diabetes. Top barriers to individual pharmacists providing services were dispensing load and workload while top barriers to work sites (e.g., environment) were reimbursement/billing, number of available staff, and workflow. Conclusion Idaho community and ambulatory care pharmacists currently offer direct patient care services to patients across the state, but face barriers in providing and increasing services offered.

Direct Medical Expenditures Associated with Eye Complications among Adults with Diabetes in the United States.

OBJECTIVES: National estimates of healthcare expenditures by types of services for adults with comorbid diabetes and eye complications (ECs) are scarce. Therefore, the first objective of this study is to estimate total healthcare expenditures and expenditures by types of services (inpatient, outpatient, prescription, and emergency) for adults with ECs. The second objective is to estimate the out-of-pocket spending burden among adults with ECs. Study Design. A cross-sectional study design using data from multiple panels (2009-2015) of the Medical Expenditure Panel Survey was employed. The sample included adults aged 21 years or older with diabetes (n = 8,420). Principal Findings. Of adults with diabetes, 18.9% had ECs. Adults ECs had significantly higher incremental total medical expenditures of $3,125. The highest incremental expenditures were associated with outpatient and prescription drugs. After controlling for sex, age, race, poverty level, insurance coverage, prescription coverage, perceived physical and mental health, the number of chronic physical and mental conditions, marital status, education, the region of residence, smoking status, exercise, and chronic kidney disease (CKD), there was no difference in the out-of-pocket spending burden between adults with and those without ECs. However, adults with comorbid diabetes and CKD were more likely to have the out-of-pocket spending burden than those without CKD. CONCLUSIONS: The study showed that ECs in individuals with diabetes are associated with high incremental direct medical and out-of-pocket expenditures. Therefore, it requires more health initiatives, interventions, strategies, and programs to address and minimize the risk involved in such affected individuals.

Diabetes Prevalence and Its Relationship With Education, Wealth, and BMI in 29 Low- and Middle-Income Countries.

OBJECTIVE: Diabetes is a rapidly growing health problem in low- and middle-income countries (LMICs), but empirical data on its prevalence and relationship to socioeconomic status are scarce. We estimated diabetes prevalence and the subset with undiagnosed diabetes in 29 LMICs and evaluated the relationship of education, household wealth, and BMI with diabetes risk. RESEARCH DESIGN AND METHODS: We pooled individual-level data from 29 nationally representative surveys conducted between 2008 and 2016, totaling 588,574 participants aged ≥25 years. Diabetes prevalence and the subset with undiagnosed diabetes was calculated overall and by country, World Bank income group (WBIG), and geographic region. Multivariable Poisson regression models were used to estimate relative risk (RR). RESULTS: Overall, prevalence of diabetes in 29 LMICs was 7.5% (95% CI 7.1-8.0) and of undiagnosed diabetes 4.9% (4.6-5.3). Diabetes prevalence increased with increasing WBIG: countries with low-income economies (LICs) 6.7% (5.5-8.1), lower-middle-income economies (LMIs) 7.1% (6.6-7.6), and upper-middle-income economies (UMIs) 8.2% (7.5-9.0). Compared with no formal education, greater educational attainment was associated with an increased risk of diabetes across WBIGs, after adjusting for BMI (LICs RR 1.47 [95% CI 1.22-1.78], LMIs 1.14 [1.06-1.23], and UMIs 1.28 [1.02-1.61]). CONCLUSIONS: Among 29 LMICs, diabetes prevalence was substantial and increased with increasing WBIG. In contrast to the association seen in high-income countries, diabetes risk was highest among those with greater educational attainment, independent of BMI. LMICs included in this analysis may be at an advanced stage in the nutrition transition but with no reversal in the socioeconomic gradient of diabetes risk.

Diabetes: What Challenges Lie Ahead for Vietnam?

Background: Economic development and social environment changes influence disease patterns ranging from infectious diseases to noncommunicable diseases, and diabetes is one of the seven causes leading to death and disability in Vietnam. Objectives: The purpose of this research is to present an overview of the challenges related to diabetes prevention in Vietnam and to find effective ways for the prevention and control of diabetes, as well as to improve the quality of life among diabetes patients. Methods: The literature review was conducted using a variety of databases, such as PubMed, Google Scholar, Science Direct, Vietnamese data sources, and papers published in the Vietnamese language. For the searches, we used keywords such as "Diabetes," "Prevention," and "Prevalence of Diabetes." Findings and Conclusions: With the increasing prevalence of diabetes, there are approximately 5.76 million people with diabetes currently living in Vietnam. The age-adjusted comparative prevalence of diabetes in the population of Vietnam was approximately 6% in 2017. This review suggests that the government needs to establish social security and policy programs aimed at reducing social risk factors and the burden of healthcare costs for diabetes treatment in older people. In addition, attention should be paid to the management and control of diabetes-related diseases, with an emphasis on new techniques for early diagnosis and treatment. Simultaneously, the health system should ensure that diabetes patients living in rural areas and belonging to ethnic minorities can access better healthcare services to improve their health and decrease their risk for chronic disease and death.

Cost-benefit Analysis in Health Care: The Case of Bariatric Surgery Compared With Diet.

PURPOSE: The aim of the present study was to assess, by using a cost-benefit analysis, the net monetary benefit (NMB) of bariatric surgery compared with diet (including physical exercise) for obese patients, from both an Italian payer perspective and the broader societal perspective. METHODS: The study considered the following groups of patients: (1) patients with a body mass index (BMI) ≥40 kg/m2 without complications + patients with BMI ≥35 kg/m2 with complications; (2) patients with BMI ≥35 kg/m2 and diabetes; and (3) patients with BMI ranging from 30 to 35 kg/m2 and diabetes. A Markov model was developed to project the lifetime health outcomes (life years and quality-adjusted life years [QALYs]) and costs associated with bariatric surgery and diet for the considered groups of patients. The clinical effectiveness of each strategy was based on the likelihood of experiencing cardiovascular events or events related to the presence of diabetes. Data on clinical effectiveness, quality of life, productivity losses, and out-of-pocket costs were mainly derived from the literature; direct costs were obtained from official tariffs or the literature. Different scenarios were considered for the analyses in addition to the base case. According to both perspectives considered, the NMB was calculated by first assuming a willingness-to-pay threshold (30,000€ per QALY), then converting health benefits (QALYs) into the common monetary metric (ie, the euro). NMB was calculated as follows: (incremental benefit × willingness-to-pay - incremental cost). FINDINGS: For all the scenarios and groups of patients considered, the NMB of bariatric surgery versus diet, on a lifetime horizon, from the payer perspective was positive and ranged from 54,647€ to 122,960€; it varied between 141,192€ and 380,286€ from the societal perspective. In the former case, the NMB turns positive after 3-4 years, indicating that bariatric surgery may be a worthy investment also in the short run for the National Health Service; in the latter case, for a time horizon longer than 2-3 years, the surgical option begins to show advantages for the whole society. IMPLICATIONS: Despite its defined cost-effectiveness, bariatric surgery is under-diffused because the initial investment for the technology is often considered a barrier. The cost-benefit analysis showed that bariatric surgery, compared with diet, may be a worthwhile technology for obese patients in Italy from both a payer perspective and the broader societal perspective.

Cost-effectiveness of Interventions to Manage Diabetes: Has the Evidence Changed Since 2008?

OBJECTIVE: To synthesize updated evidence on the cost-effectiveness (CE) of interventions to manage diabetes, its complications, and comorbidities. RESEARCH DESIGN AND METHODS: We conducted a systematic literature review of studies from high-income countries evaluating the CE of diabetes management interventions recommended by the American Diabetes Association (ADA) and published in English between June 2008 and July 2017. We also incorporated studies from a previous CE review from the period 1985-2008. We classified the interventions based on their strength of evidence (strong, supportive, or uncertain) and levels of CE: cost-saving (more health benefit at a lower cost), very cost-effective (≤$25,000 per life year gained [LYG] or quality-adjusted life year [QALY]), cost-effective ($25,001-$50,000 per LYG or QALY), marginally cost-effective ($50,001-$100,000 per LYG or QALY), or not cost-effective (>$100,000 per LYG or QALY). Costs were measured in 2017 U.S. dollars. RESULTS: Seventy-three new studies met our inclusion criteria. These were combined with 49 studies from the previous review to yield 122 studies over the period 1985-2017. A large majority of the ADA-recommended interventions remain cost-effective. Specifically, we found strong evidence that the following ADA-recommended interventions are cost-saving or very cost-effective: In the cost-saving category are 1) ACE inhibitor (ACEI)/angiotensin receptor blocker (ARB) therapy for intensive hypertension management compared with standard hypertension management, 2) ACEI/ARB therapy to prevent chronic kidney disease and/or end-stage renal disease in people with albuminuria compared with no ACEI/ARB therapy, 3) comprehensive foot care and patient education to prevent and treat foot ulcers among those at moderate/high risk of developing foot ulcers, 4) telemedicine for diabetic retinopathy screening compared with office screening, and 5) bariatric surgery compared with no surgery for individuals with type 2 diabetes (T2D) and obesity (BMI ≥30 kg/m2). In the very cost-effective category are 1) intensive glycemic management (targeting A1C <7%) compared with conventional glycemic management (targeting an A1C level of 8-10%) for individuals with newly diagnosed T2D, 2) multicomponent interventions (involving behavior change/education and pharmacological therapy targeting hyperglycemia, hypertension, dyslipidemia, microalbuminuria, nephropathy/retinopathy, secondary prevention of cardiovascular disease with aspirin) compared with usual care, 3) statin therapy compared with no statin therapy for individuals with T2D and history of cardiovascular disease, 4) diabetes self-management education and support compared with usual care, 5) T2D screening every 3 years starting at age 45 years compared with no screening, 6) integrated, patient-centered care compared with usual care, 7) smoking cessation compared with no smoking cessation, 8) daily aspirin use as primary prevention for cardiovascular complications compared with usual care, 9) self-monitoring of blood glucose three times per day compared with once per day among those using insulin, 10) intensive glycemic management compared with conventional insulin therapy for T2D among adults aged ≥50 years, and 11) collaborative care for depression compared with usual care. CONCLUSIONS: Complementing professional treatment recommendations, our systematic review provides an updated understanding of the potential value of interventions to manage diabetes and its complications and can assist clinicians and payers in prioritizing interventions and health care resources.

Does Diabetes Increase the Risk of Contracting COVID-19? A Population-Based Study in Korea.

BACKGROUND: This study aimed to determine the infection risk of coronavirus disease 2019 (COVID-19) in patients with diabetes (according to treatment method). METHODS: Claimed subjects to the Korean National Health Insurance claims database diagnosed with COVID-19 were included. Ten thousand sixty-nine patients with COVID-19 between January 28 and April 5, 2020, were included. Stratified random sampling of 1:5 was used to select the control group of COVID-19 patients. In total 50,587 subjects were selected as the control group. After deleting the missing values, 60,656 subjects were included. RESULTS: Adjusted odds ratio (OR) indicated that diabetic insulin users had a higher risk of COVID-19 than subjects without diabetes (OR, 1.25; 95% confidence interval [CI], 1.03 to 1.53; P=0.0278). In the subgroup analysis, infection risk was higher among diabetes male insulin users (OR, 1.42; 95% CI, 1.07 to 1.89), those between 40 and 59 years (OR, 1.66; 95% CI, 1.13 to 2.44). The infection risk was higher in diabetic insulin users with 2 to 4 years of morbidity (OR, 1.744; 95% CI, 1.003 to 3.044). CONCLUSION: Some diabetic patients with certain conditions would be associated with a higher risk of acquiring COVID-19, highlighting their need for special attention. Efforts are warranted to ensure that diabetic patients have minimal exposure to the virus. It is important to establish proactive care and screening tests for diabetic patients suspected with COVID-19 for timely disease diagnosis and management.

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

BACKGROUND: Little is known about the impact of different types of chronic diseases on older adults' out-of-pocket healthcare spending and whether certain diseases trigger higher spending needs than others. METHODS: We use data from the 2014 Health and Retirement Study representing a weighted population of 35,939,270 Medicare beneficiaries aged 65+. Generalized linear models are applied to estimate the effect of different chronic diseases on total out-of-pocket expenditure, adjusted for demographics, socio-economic status, physical health, and other factors. We also decompose total spending by expenditure categories (inpatient, non-inpatient, and prescription drug spending). Sensitivity analysis is performed using a younger sample of older adults aged 50-64. RESULTS: Cardiovascular disease, diabetes, hypertension and cancer, induce significantly higher adjusted out-of-pocket spending among older adults than other conditions. These results hold regardless how the spending differences are assessed (absolute or percentage terms). For Medicare beneficiaries, cardiovascular disease is associated with an excess out-of-pocket spending of $317 per year, followed by diabetes ($237), hypertension ($150), and cancer ($144). Prescription drug spending is singularly the most important driver of additional expenses for cardiovascular disease, diabetes and hypertension, while non-inpatient services spending accounts for the bulk of increased spending among those with cancer. CONCLUSIONS: Our finding that major noncommunicable diseases impact individuals' out-of-pocket medical spending differentially-and that service drivers of increased spending may be heterogeneous across disease types-suggest that health professionals and policymakers should recognize that certain chronic diseases exert greater financial toll on the elderly. Interventions to promote more cost efficient healthcare services and consumer choices can help older adults better cope with these expensive long-lasting conditions and reduce the overall burden of noncommunicable diseases.

A cluster-based approach for integrating clinical management of Medicare beneficiaries with multiple chronic conditions.

BACKGROUND: Approximately 28% of adults have ≥3 chronic conditions (CCs), accounting for two-thirds of U.S. healthcare costs, and often having suboptimal outcomes. Despite Institute of Medicine recommendations in 2001 to integrate guidelines for multiple CCs, progress is minimal. The vast number of unique combinations of CCs may limit progress. METHODS AND FINDINGS: To determine whether major CCs segregate differentially in limited groups, electronic health record and Medicare paid claims data were examined in one accountable care organization with 44,645 Medicare beneficiaries continuously enrolled throughout 2015. CCs predicting clinical outcomes were obtained from diagnostic codes. Agglomerative hierarchical clustering defined 13 groups having similar within group patterns of CCs and named for the most common CC. Two groups, congestive heart failure (CHF) and kidney disease (CKD), included 23% of beneficiaries with a very high CC burden (10.5 and 8.1 CCs/beneficiary, respectively). Five groups with 54% of beneficiaries had a high CC burden ranging from 7.1 to 5.9 (descending order: neurological, diabetes, cancer, cardiovascular, chronic pulmonary). Six groups with 23% of beneficiaries had an intermediate-low CC burden ranging from 4.7 to 0.4 (behavioral health, obesity, osteoarthritis, hypertension, hyperlipidemia, 'other'). Hypertension and hyperlipidemia were common across groups, whereas 80% of CHF segregated to the CHF group, 85% of CKD to CKD and CHF groups, 82% of cancer to Cancer, CHF, and CKD groups, and 85% of neurological disorders to Neuro, CHF, and CKD groups. Behavioral health diagnoses were common only in groups with a high CC burden. The number of CCs/beneficiary explained 36% of the variance (R2 = 0.36) in claims paid/beneficiary. CONCLUSIONS: Identifying a limited number of groups with high burdens of CCs that disproportionately drive costs may help inform a practical number of integrated guidelines and resources required for comprehensive management. Cluster informed guideline integration may improve care quality and outcomes, while reducing costs.

A population-level comparison of cancer-related and non-cancer-related health care costs using publicly available provincial administrative data.

Introduction: Costs associated with cancer care are increasing. Cancer costs in the context of other common non-cancer diagnoses have not been extensively studied at the population level. Knowledge from such analyses can inform health care resource allocation and highlight strategies to reduce overall costs. Methods: Using cross-sectional data from publicly available population-level administrative data sources (health insurance claims, physician billing, and hospital discharge abstracts), we calculated incidence-adjusted health care costs (in 2014 Canadian dollars) for cancers and common non-cancer diagnoses in the adult population in a large Canadian province. Subgroup analyses were also performed for various provincial health administrative regions. Results: Total costs related to cancer care amounted to $495 million for the province, of which at least $67 million (14%) was attributable to radiation and chemotherapy. Of the various cancer subtypes, hematologic malignancies were most costly at $70 million, accounting for 14% of the total cancer budget. Colon cancer followed at $51 million (10%), and lung cancer, at $44 million (9%). Cancer costs (with and without costs for radiation and chemotherapy) exceeded those for cardiovascular disease, diabetes mellitus, mental health, and trauma (p < 0.001). In addition, the costs of specific cancer subtypes varied by region, but hematologic and lung cancers were typically the most costly no matter the health region. Conclusions: Using provincial administrative data to establish cost trends can help to inform health care allocation and budget decisions, and can facilitate comparisons between provinces.

Diabetic Foot Syndrome in the Twenty-First Century.

Diabetes mellitus is an international epidemic. In the United States, the prevalence of diabetes has increased from estimates in 1990 when 6.5% of the population was affected and 6.2 million people had diabetes compared with the estimates in 2017 with 24.7 million people with diabetes or accounting 9.6% of the adult population. The diabetic foot syndrome manifests as a combination of diabetes-related diseases including diabetic sensory neuropathy, limited joint mobility, immunopathy, peripheral arterial disease, foot ulceration, and Charcot arthropathy. The culmination of these provides an ideal environment for unrecognized tissue injury that leads to ulceration, infection, infection, and amputation.

Economic burden of incident interstitial lung disease (ILD) and the impact of comorbidity on costs of care.

INTRODUCTION: Evidence about the economic burden related to interstitial lung diseases (ILDs) and the cost-driving factors is sparse. In the knowledge that distinct comorbidities affect the clinical course of ILDs, our study investigates their impact on costs of care within first year after diagnosis. METHODS: Using claims data of individuals diagnosed with Idiopathic Interstitial Pneumonia (IIP) (n = 14 453) or sarcoidosis (n = 9106) between 2010 and 2013, we calculated total and ILD-associated mean annual per capita costs adjusted by age, sex and comorbidity burden via Generalized Linear Gamma models. Then, we assessed the cost impact of chronic obstructive pulmonary disease (COPD), diabetes, coronary artery disease, depression, gastro-esophageal reflux disease, pulmonary hypertension (PH), obstructive sleep apnoea syndrome (OSAS) and lung cancer using the model-based parameter estimates. RESULTS: Total mean annual per capita costs were €11 131 in the pooled cohort, €12 111 in IIP and €8793 in sarcoidosis, each with a 1/3 share of ILD-associated cost. Most comorbidities had a significant cost-driving effect, which was most pronounced for lung cancer in total (1.989 pooled, 2.491 sarcoidosis, 1.696 IIP) and for PH in ILD-associated costs (2.606 pooled, 2.347 IIP, 3.648 sarcoidosis). The lung-associated comorbidities COPD, PH, OSAS more strongly affected ILD-associated than total costs. CONCLUSION: Comorbidities increase the already substantial costs of care in ILDs. To support patient-centred ILD care, not only highly cost-driving conditions that are inherent with high mortality themselves require systematic management. Moreover, conditions that are more rather restricting the patient's activities of daily living should be addressed - despite a low-cost impact.

The macroeconomic burden of noncommunicable diseases associated with air pollution in China.

BACKGROUND: While a few studies have tried to estimate the economic burden of noncommunicable diseases (NCDs) associated with air pollution, most previous studies have methodological limitations. For example, neither the cost of illness approach nor the value of a statistical life approach accounts for economic adjustment mechanisms (i.e., they do not include substitution of labor lost due to an illness with capital or other workers), and neither approach considers disease impact on physical and human capital. Furthermore, since new evidence shows that air pollution is also linked to diabetes, previous studies did not estimate the economic costs of diabetes associated with air pollution. The total economic costs of NCDs associated with air pollution under a comprehensive framework therefore remained unexplored. OBJECTIVES: This study uses a human capital-augmented production function framework to analyze and estimate the macroeconomic impact of NCDs associated with air pollution in China in 1990-2030 and in 2015-2030. It makes several contributions-beyond those of the extant literature-to understanding the economic burden of NCDs associated with air pollution. It does this by accounting for economic adjustment mechanisms and by incorporating human capital into the model. METHODS: In our framework, aggregate output is produced according to a human capital-augmented production function that accounts for the effects of projected disease prevalence. NCDs associated with air pollution affect the aggregate output through three pathways: 1) Mortality effect-when working-age individuals die from a disease, aggregate output decreases because physical capital is an imperfect substitute for the loss of human capital in the production process. 2) Morbidity effect-when working-age individuals suffer from a disease but do not die from it, their contribution to overall output also decreases depending on disease severity; for example, they might work fewer hours or with lower productivity, or they might retire earlier. We also incorporate age-specific human capital to account for education-related productivity differences between members of different cohorts who are differentially affected by NCDs. 3) Treatment cost effect-when households in which members suffer from a disease use part of their savings to cover the out-of-pocket share of their treatment costs, physical capital accumulation diminishes. Our estimates are based on the recently updated Global Burden of Disease epidemiology data, which identify four pathways through which air pollution affects health: cardiovascular diseases, respiratory diseases, cancer, and diabetes. RESULTS: Total losses from NCDs associated with air pollution in China in 1990-2030 are estimated to be $1,137 billion (constant 2010 USD) and in 2015-2030 are estimated to be $499 billion (constant 2010 USD). Cardiovascular diseases account for the highest burden, followed by chronic respiratory diseases, diabetes, and cancer. Treatment costs account for nearly 30% of the total economic burden of NCDs associated with air pollution. We also find that the share of economic burden associated with treatment costs is highest for diabetes. This is mainly driven by the fact that, on a per case basis, diabetes has a lower health burden than other diseases associated with air pollution. DISCUSSION: The NCDs associated with air pollution impose a large economic burden on China.

Economic Impact of Diabetes in Japan.

PURPOSE OF REVIEW: The economic burden of diabetes in Japan is already serious and will become greater in the future. We review the economic impact of diabetes in Japan to examine viable options for mitigating its effects. RECENT FINDINGS: Medical costs for diabetes have been increasing by US $1 million annually, reaching US $11 million in 2009, of which US $7 million was accounted for by people aged 65 years or older. The quality of treatment of diabetes in Japan is higher than in other regions in the world. This can be more effective for achieving glycemic control, but is also more expensive compared with conventional treatment. Because of the high cost of diabetes in Japan, a coordinated response is needed. Intervention trials for people with prediabetes aimed at preventing the occurrence of diabetes seem to be the most cost-effective method for lowering the medical costs of diabetes, rather than the use of new, expensive antidiabetic drugs in patients with established diabetes.

Health system costs for individual and comorbid noncommunicable diseases: An analysis of publicly funded health events from New Zealand.

BACKGROUND: There is little systematic assessment of how total health expenditure is distributed across diseases and comorbidities. The objective of this study was to use statistical methods to disaggregate all publicly funded health expenditure by disease and comorbidities in order to answer three research questions: (1) What is health expenditure by disease phase for noncommunicable diseases (NCDs) in New Zealand? (2) Is the cost of having two NCDs more or less than that expected given the independent costs of each NCD? (3) How is total health spending disaggregated by NCDs across age and by sex? METHODS AND FINDINGS: We used linked data for all adult New Zealanders for publicly funded events, including hospitalisation, outpatient, pharmaceutical, laboratory testing, and primary care from 1 July 2007 to 30 June 2014. These data include 18.9 million person-years and $26.4 billion in spending (US$ 2016). We used case definition algorithms to identify if a person had any of six NCDs (cancer, cardiovascular disease [CVD], diabetes, musculoskeletal, neurological, and a chronic lung/liver/kidney [LLK] disease). Indicator variables were used to identify the presence of any of the 15 possible comorbidity pairings of these six NCDs. Regression was used to estimate excess annual health expenditure per person. Cause deletion methods were used to estimate total population expenditure by disease. A majority (59%) of health expenditure was attributable to NCDs. Expenditure due to diseases was generally highest in the year of diagnosis and year of death. A person having two diseases simultaneously generally had greater health expenditure than the expected sum of having the diseases separately, for all 15 comorbidity pairs except the CVD-cancer pair. For example, a 60-64-year-old female with none of the six NCDs had $633 per annum expenditure. If she had both CVD and chronic LLK, additional expenditure for CVD separately was $6,443/$839/$9,225 for the first year of diagnosis/prevalent years/last year of life if dying of CVD; additional expenditure for chronic LLK separately was $6,443/$1,291/$9,051; and the additional comorbidity expenditure of having both CVD and LLK was $2,456 (95% confidence interval [CI] $2,238-$2,674). The pattern was similar for males (e.g., additional comorbidity expenditure for a 60-64-year-old male with CVD and chronic LLK was $2,498 [95% CI $2,264-$2,632]). In addition to this, the excess comorbidity costs for a person with two diseases was greater at younger ages, e.g., excess expenditure for 45-49-year-old males with CVD and chronic LLK was 10 times higher than for 75-79-year-old males and six times higher for females. At the population level, 23.8% of total health expenditure was attributable to higher costs of having one of the 15 comorbidity pairs over and above the six NCDs separately; of the remaining expenditure, CVD accounted for 18.7%, followed by musculoskeletal (16.2%), neurological (14.4%), cancer (14.1%), chronic LLK disease (7.4%), and diabetes (5.5%). Major limitations included incomplete linkage to all costed events (although these were largely non-NCD events) and missing private expenditure. CONCLUSIONS: The costs of having two NCDs simultaneously is typically superadditive, and more so for younger adults. Neurological and musculoskeletal diseases contributed the largest health system costs, in accord with burden of disease studies finding that they contribute large morbidity. Just as burden of disease methodology has advanced the understanding of disease burden, there is a need to create disease-based costing studies that facilitate the disaggregation of health budgets at a national level.