WIT120 data mining technology based on internet of things.

In recent years, with the increasing aging of society, the number of patients with chronic heart disease, hypertension and diabetes has increased dramatically. It has guiding significance for the prevention and treatment by long-term monitoring of the physiological signs of patients with chronic diseases, scoring statistical data, and predicting the development trend of users' health. The work used the data collected by WIT120 system to analyze the pre-processed thick data based on adaptive k-means clustering method under the MapReduce framework, and the GM (1,1) grey model was used to predict the future health status of users. The simulation results have verified the effectiveness of the proposed algorithm.

Forecasting disability-adjusted life years for chronic diseases: reference and alternative scenarios of salt intake for 2017-2040 in Japan.

BACKGROUND: In Japan, a high-sodium diet is the most important dietary risk factor and is known to cause a range of health problems. This study aimed to forecast Japan's disability-adjusted life year (DALYs) for chronic diseases that would be associated with high-sodium diet in different future scenarios of salt intake. We modelled DALY forecast and alternative future scenarios of salt intake for cardiovascular diseases (CVDs), chronic kidney diseases (CKDs), and stomach cancer (SC) from 2017 to 2040. METHODS: We developed a three-component model of disease-specific DALYs: a component on the changes in major behavioural and metabolic risk predictors including salt intake; a component on the income per person, educational attainment, and total fertility rate under 25 years; and an autoregressive integrated moving average model to capture the unexplained component correlated over time. Data on risk predictors were obtained from Japan's National Health and Nutrition Surveys and from the Global Burden of Disease Study 2017. To generate a reference forecast of disease-specific DALY rates for 2017-2040, we modelled the three diseases using the data for 1990-2016. Additionally, we generated better, moderate, and worse scenarios to evaluate the impact of change in salt intake on the DALY rate for the diseases. RESULTS: In our reference forecast, the DALY rates across all ages were predicted to be stable for CVDs, continuously increasing for CKDs, and continuously decreasing for SC. Meanwhile, the age group-specific DALY rates for these three diseases were forecasted to decrease, with some exceptions. Except for the ≥70 age group, there were remarkable differences in DALY rates between scenarios, with the best scenario having the lowest DALY rates in 2040 for SC. This represents a wide scope of future trajectories by 2040 with a potential for tremendous decrease in SC burden. CONCLUSIONS: The gap between scenarios provides some quantification of the range of policy impacts on future trajectories of salt intake. Even though we do not yet know the policy mix used to achieve these scenarios, the result that there can be differences between scenarios means that policies today can have a significant impact on the future DALYs.

Racial-ethnic disparities in self-reported health status among US adults adjusted for sociodemographics and multimorbidities, National Health and Nutrition Examination Survey 2011-2014.

Objective: To investigate racial-ethnic disparities in self-reported health status adjusting for sociodemographic factors and multimorbidities.Design: A total of 9499 adult participants aged 20 years and older from the United States (US); reported by the National Health and Nutrition Examination Survey (NHANES), a cross-sectional survey - for years 2011-2014. The main outcome measure was self-reported health status categorized as excellent/very good, good (moderate), and fair/poor.Results: Of the NHANES participants, 40.7% reported excellent/very good health, 37.2% moderate health and 22.1% fair/poor health. There were 42.8% who were non-Hispanic whites, 20.2% were Hispanic, 23.8% were non-Hispanic blacks, and 13.2% were non-Hispanic Asians. Compared to non-Hispanic whites, Hispanics [Odds Ratio (OR) = 2.91, 95% Confidence Interval (CI) = 2.28-3.71] and non-Hispanic blacks [OR = 1.51, 95% CI = 1.26-1.83] were more likely to report fair/poor health, whereas, non-Hispanic Asians [OR = 1.42, 95% CI = 1.14-1.76] were more likely to report moderate health than excellent/very good health. Compared to those with no chronic conditions, participants with two or three chronic conditions [OR = 9.35, 95% CI = 7.26-12.00] and with four or more chronic conditions [OR = 38.10, 95% CI = 26.50-54.90] were more likely to report fair/poor health than excellent/very good health status.Conclusion: The racial-ethnic differences in self-reported health persisted even after adjusting for sociodemographics and number of multimorbidities. The findings highlight the potential importance of self-reported health status and the need to increase health awareness through health assessment and health-promotional programs among the vulnerable minority US adults.

Impact of a Multicomponent Digital Therapeutic Mobile App on Medication Adherence in Patients with Chronic Conditions: Retrospective Analysis.

BACKGROUND: Strategies to improve medication adherence are widespread in the literature; however, their impact is limited in real practice. Few patients persistently engage long-term to improve health outcomes, even when they are aware of the consequences of poor adherence. Despite the potential of mobile phone apps as a tool to manage medication adherence, there is still limited evidence of the impact of these innovative interventions. Real-world evidence can assist in minimizing this evidence gap. OBJECTIVE: The objective of this study was to analyze the impact over time of a previously implemented digital therapeutic mobile app on medication adherence rates in adults with any chronic condition. METHODS: A retrospective observational study was performed to assess the adherence rates of patients with any chronic condition using Perx Health, a digital therapeutic that uses multiple components within a mobile health app to improve medication adherence. These components include gamification, dosage reminders, incentives, educational components, and social community components. Adherence was measured through mobile direct observation of therapy (MDOT) over 3-month and 6-month time periods. Implementation adherence, defined as the percentage of doses in which the correct dose of a medication was taken, was assessed across the study periods, in addition to timing adherence or percentage of doses taken at the appropriate time (±1 hour). The Friedman test was used to compare differences in adherence rates over time. RESULTS: We analyzed 243 and 130 patients who used the app for 3 months and 6 months, respectively. The average age of the 243 patients was 43.8 years (SD 15.5), and 156 (64.2%) were female. The most common medications prescribed were varenicline, rosuvastatin, and cholecalciferol. The median implementation adherence was 96.6% (IQR 82.1%-100%) over 3 months and 96.8% (IQR 87.1%-100%) over 6 months. Nonsignificant differences in adherence rates over time were observed in the 6-month analysis (Fr(2)=4.314, P=.505) and 3-month analysis (Fr(2)=0.635, P=.728). Similarly, the timing adherence analysis revealed stable trends with no significant changes over time. CONCLUSIONS: Retrospective analysis of users of a medication adherence management mobile app revealed a positive trend in maintaining optimal medication adherence over time. Mobile technology utilizing gamification, dosage reminders, incentives, education, and social community interventions appears to be a promising strategy to manage medication adherence in real practice.

Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study.

BACKGROUND: Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases. OBJECTIVE: The aim of this study was to understand the associations between different groups of chronic diseases and the use of different eHealth resources. METHODS: Data from the seventh survey of the Tromsø Study (Tromsø 7) were analyzed to determine how different diseases influence the use of different eHealth resources. Specifically, the eHealth resources considered were use of apps, search engines, video services, and social media. The analysis contained data from 21,083 participants in the age group older than 40 years. A total of 15,585 (15,585/21,083; 73.92%) participants reported to have suffered some disease, 10,604 (10,604/21,083; 50.29%) participants reported to have used some kind of eHealth resource in the last year, and 7854 (7854/21,083; 37.25%) participants reported to have used some kind of eHealth resource in the last year and suffered (or had suffered) from some kind of specified disease. Logistic regression was used to determine which diseases significantly predicted the use of each eHealth resource. RESULTS: The use of apps was increased among those individuals that (had) suffered from psychological problems (odds ratio [OR] 1.39, 95% CI 1.23-1.56) and cardiovascular diseases (OR 1.12, 95% CI 1.01-1.24) and those part-time workers that (had) suffered from any of the diseases classified as others (OR 2.08, 95% CI 1.35-3.32). The use of search engines for accessing health information increased among individuals who suffered from psychological problems (OR 1.39, 95% CI 1.25-1.55), cancer (OR 1.26, 95% CI 1.11-1.44), or any of the diseases classified as other diseases (OR 1.27, 95% CI 1.13-1.42). Regarding video services, their use for accessing health information was more likely when the participant was a man (OR 1.31, 95% CI 1.13-1.53), (had) suffered from psychological problems (OR 1.70, 95% CI 1.43-2.01), or (had) suffered from other diseases (OR 1.43, 95% CI 1.20-1.71). The factors associated with an increase in the use of social media for accessing health information were as follows: (had) suffered from psychological problems (OR 1.65, 95% CI 1.42-1.91), working part time (OR 1.35, 95% CI 0.62-2.63), receiving disability benefits (OR 1.42, 95% CI 1.14-1.76), having received an upper secondary school education (OR 1.20, 95% CI 1.03-1.38), being a man with a high household income (OR 1.67, 95% CI 1.07-2.60), suffering from cardiovascular diseases and having a high household income (OR 3.39, 95% CI 1.62-8.16), and suffering from respiratory diseases while being retired (OR 1.95, 95% CI 1.28-2.97). CONCLUSIONS: Our findings show that different diseases are currently associated with the use of different eHealth resources. This knowledge is useful for those who plan eHealth interventions as they can take into account which type of eHealth resource may be used for gaining the attention of the different user groups.

Chronic condition risk factor change over time in a remote Indigenous community.

INTRODUCTION: This study sought to determine change in chronic condition risk factors in a remote Indigenous community following a 3-year period of community-led health promotion initiatives. METHODS: Data were compared between two cross-sectional surveys of Indigenous Australian community residents before and after health promotion activities, and longitudinal analysis of participants present at both surveys using multilevel mixed-effects regression. RESULTS: At baseline, 294 (53% women; mean age 35 years) participated and 218 attended the second survey (56% women, mean age 40 years), and 87 attended both. Body composition, blood pressure and urinary albumin-to-creatinine ratio remained stable between baseline and follow-up. After adjusting for age and sex, haemoglobin A1c significantly increased (from 57 to 63 mmol/mol (7.5% to 8.1%), p=0.021) for those with diabetes. Increases were also observed for total cholesterol (from 4.4 to 4.6 mmol/L, p=0.006) and triglycerides (from 1.5 to 1.6 mmol/L, p=0.019), and high-density lipoprotein cholesterol levels improved (from 0.98 to 1.02 mmol/L, p=0.018). Self-reported smoking prevalence was high but stable between baseline (57%) and follow-up (56%). Similar results were observed in the longitudinal analysis to the cross-sectional survey comparison. CONCLUSION: Community-led health promotion initiatives may have had some benefits on chronic condition risk factors, including stabilisation of body composition, in this remote Indigenous community. Given that less favourable trends were observed for diabetes and total cholesterol over a short time period and smoking prevalence remained high, policy initiatives that address social and economic disadvantage are needed alongside community-led health promotion initiatives.

Food Insecurity and Chronic Disease in US Young Adults: Findings from the National Longitudinal Study of Adolescent to Adult Health.

BACKGROUND: Food insecurity, or the limited or uncertain access to food resulting from inadequate financial resources, is associated with a higher prevalence of chronic disease in adulthood. Little is known about these relationships specifically in young adulthood, an important time for the development of chronic disease. OBJECTIVE: To determine the association between food insecurity and chronic disease including diabetes, hypertension, obesity, and obstructive airway disease in a nationally representative sample of US young adults. DESIGN: Cross-sectional nationally representative data collected from Wave IV (2008) of the National Longitudinal Study of Adolescent to Adult Health was analyzed using multiple logistic regression models. PARTICIPANTS: US young adults ages 24-32 years old MAIN MEASURES: Food insecurity and general health; self-reported diabetes, hypertension, hyperlipidemia, "very overweight," and obstructive airway disease; measured obesity derived from body mass index; and inadequate disease control (hemoglobin A1c ≥ 7.0%, blood pressure ≥ 140/90 mmHg) among those with reported diabetes and hypertension. KEY RESULTS: Of the 14,786 young adults in the sample, 11% were food insecure. Food-insecure young adults had greater odds of self-reported poor health (2.63, 95% confidence interval (CI) 1.63-4.24), diabetes (1.67, 95% CI 1.18-2.37), hypertension (1.40, 95% CI 1.14-1.72), being "very overweight" (1.30, 95% CI 1.08-1.57), and obstructive airway disease (1.48, 95% CI 1.22-1.80) in adjusted models compared with young adults who were food secure. Food insecurity was not associated with inadequate disease control among those with diabetes or hypertension. CONCLUSIONS: Food insecurity is associated with several self-reported chronic diseases and obesity in young adulthood. Health care providers should screen for food insecurity in young adults and provide referrals when appropriate. Future research should evaluate the impact of early interventions to combat food insecurity on the prevention of downstream health effects in later adulthood.

Subgroups of High-Cost Medicare Advantage Patients: an Observational Study.

BACKGROUND: There is a growing focus on improving the quality and value of health care delivery for high-cost patients. Compared to fee-for-service Medicare, less is known about the clinical composition of high-cost Medicare Advantage populations. OBJECTIVE: To describe a high-cost Medicare Advantage population and identify clinically and operationally significant subgroups of patients. DESIGN: We used a density-based clustering algorithm to group high-cost patients (top 10% of spending) according to 161 distinct demographic, clinical, and claims-based variables. We then examined rates of utilization, spending, and mortality among subgroups. PARTICIPANTS: Sixty-one thousand five hundred forty-six Medicare Advantage beneficiaries. MAIN MEASURES: Spending, utilization, and mortality. KEY RESULTS: High-cost patients (n = 6154) accounted for 55% of total spending. High-cost patients were more likely to be younger, male, and have higher rates of comorbid illnesses. We identified ten subgroups of high-cost patients: acute exacerbations of chronic disease (mixed); end-stage renal disease (ESRD); recurrent gastrointestinal bleed (GIB); orthopedic trauma (trauma); vascular disease (vascular); surgical infections and other complications (complications); cirrhosis with hepatitis C (liver); ESRD with increased medical and behavioral comorbidity (ESRD+); cancer with high-cost imaging and radiation therapy (oncology); and neurologic disorders (neurologic). The average number of inpatient days ranged from 3.25 (oncology) to 26.09 (trauma). Preventable spending (as a percentage of total spending) ranged from 0.8% (oncology) to 9.5% (complications) and the percentage of spending attributable to prescription medications ranged from 7.9% (trauma and oncology) to 77.0% (liver). The percentage of patients who were persistently high-cost ranged from 11.8% (trauma) to 100.0% (ESRD+). One-year mortality ranged from 0.0% (liver) to 25.8% (ESRD+). CONCLUSIONS: We identified clinically distinct subgroups of patients within a heterogeneous high-cost Medicare Advantage population using cluster analysis. These subgroups, defined by condition-specific profiles and illness trajectories, had markedly different patterns of utilization, spending, and mortality, holding important implications for clinical strategy.

Does global drug innovation correspond to burden of disease? The neglected diseases in developed and developing countries.

Although it is commonly argued that there is a mismatch between drug innovation and disease burden, there is little evidence on the magnitude and direction of such disparities. In this paper, we measure inequality in innovation, by comparing research and development activity with population health and gross domestic product data across 493 therapeutic indications to globally measure: (a) drug innovation, (b) disease burden, and (c) market size. We use concentration curves and indices to assess inequality at two levels: (a) broad disease groups and (b) disease subcategories for both 1990 and 2010. For some top burden disease subcategories (i.e., cardiovascular and circulatory diseases, neoplasms, and musculoskeletal disorders), innovation is disproportionately concentrated in diseases with high disease burden and large market size, whereas for others (i.e., mental and behavioral disorders, neonatal disorders, and neglected tropical diseases) innovation is disproportionately concentrated in low burden diseases. These inequalities persisted over time, suggesting inertia in pharmaceutical research and development in tackling the global health challenges. Our results confirm quantitatively assertions about the mismatch between disease burden and pharmaceutical innovation in both developed and developing countries and highlight the disease areas for which morbidity and mortality remain unaddressed.

Care trajectories of chronically ill older adult patients discharged from hospital: a quantitative cross-sectional study using health insurance claims data.

BACKGROUND: For older adults, a good transition from hospital to the primary or long-term care setting can decrease readmissions. This paper presents the 6-month post-discharge healthcare utilization of older adults and describes the numbers of readmissions and deaths for the most frequently occurring aftercare arrangements as a starting point in optimizing the post-discharge healthcare organization. METHODS: This cross-sectional study included older adults insured with the largest Dutch insurance company. We described the utilization of healthcare within 180 days after discharge from their first hospital admission of 2015 and the most frequently occurring combinations of aftercare in the form of geriatric rehabilitation, community nursing, long-term care, and short stay during the first 90 days after discharge. We calculated the proportion of older adults that was readmitted or had died in the 90-180 days after discharge for the six most frequent combinations. We performed all analyses in the total group of older adults and in a sub-group of older adults who had been hospitalized due to a hip fracture. RESULTS: A total of 31.7% of all older adults and 11.4% of the older adults with a hip fracture did not receive aftercare. Almost half of all older adults received care of a community nurse, whereas less than 5% received long-term home care. Up to 18% received care in a nursing home during the 6 months after discharge. Readmissions were lowest for older adults with a short stay and highest in the group geriatric rehabilitation + community nursing. Mortality was lowest in the total group of older aldults and subgroup with hip fracture without aftercare. CONCLUSIONS: The organization of post-discharge healthcare for older adults may not be organized sufficiently to guarantee appropriate care to restore functional activity. Although receiving aftercare is not a clear predictor of readmissions in our study, the results do seem to indicate that older adults receiving community nursing in the first 90 days less often die compared to older adults with other types of aftercare or no aftercare. Future research is necessary to examine predictors of readmissions and mortality in both older adult patients discharged from hospital.

Association between nighttime-daytime sleep patterns and chronic diseases in Chinese elderly population: a community-based cross-sectional study.

BACKGROUND: This study aimed to assess the relationship between specific nighttime-daytime sleep patterns and prevalence of different chronic diseases in an elderly population. METHODS: We conducted a community-based cross-sectional study in 4150 elderly Chinese, with an average age of 74 years. Sleep-related variables (nighttime sleep duration, daytime napping and duration) and chronic disease status, including diabetes, cardiovascular diseases (CVD), dyslipidemia cancer and arthritis were collected for the study. Multivariable logistic regression models were used to analyze the relationship between nighttime-daytime sleep patterns and prevalence of chronic diseases. RESULTS: Overall prevalence of any of chronic diseases was 83.8%. Nighttime-daytime sleep patterns were defined according to nighttime sleep duration and habitual nappers/non-nappers. Taking the nighttime-daytime sleep pattern "short nighttime sleep with daytime napping" as reference, those with "long nighttime sleep without daytime napping" had higher prevalence of diabetes [OR and 95% CI, 1.35 (1.01-1.80)] and lower prevalence of arthritis [OR and 95% CI, 0.46 (0.33-0.63)]. And those with "long nighttime sleep with daytime napping" had higher prevalence of diabetes [OR and 95% CI, 1.36 (1.05-1.78)] while lower prevalence of cancer [OR and 95% CI, 0.48 (0.26-0.85)] and arthritis [OR and 95% CI, 0.67 (0.51-0.86)]. Further, in habitual nappers, subjects were classified according to duration of nighttime sleep and daytime naps. Compared to "short nighttime sleep with long daytime napping", individuals with "long nighttime sleep with short daytime napping" had significantly positive association with diabetes prevalence [OR and 95% CI, 1.73 (1.15-2.68)] while border-significantly and significantly negative association with cancer [OR and 95% CI, 0.49 (0.23-1.07)] and arthritis [OR and 95% CI, 0.64 (0.44-0.94)], respectively. CONCLUSIONS: Elderly individuals with chronic diseases had different nighttime-daytime sleep patterns, and understanding these relationships may help to guide the management of chronic diseases.

Socioeconomic inequality in non-communicable diseases in Europe between 2004 and 2015: evidence from the SHARE survey.

Background: The scope of this work was to investigate socioeconomic inequalities among European adults aged 50 or older in chronic diseases and behavioural risk factors for these diseases, namely, smoking habits, obesity and physical inactivity, between 2004 and 2015. Methods: Data for this study were drawn from the Survey of Health, Ageing and Retirement (SHARE) in Europe, which is a panel database of microdata on health, socioeconomic status and social and family networks of people aged 50 years or older, covering most of the European Union. The predicted number of non-communicable diseases (NCDs) was used to estimate the concentration index and to find the contributions of determinants to socioeconomic inequalities in chronic diseases. Results: The inequality disfavoured the poor in both years, but the effect was stable from 2004 (C = -0.071) to 2015 (C = -0.081). Inequality was shown to be attributed mostly to physical inactivity and obesity and this contribution increased during the study period. Among socioeconomic status (SES) determinants, education and marital status were the most concentrated in both years, while physical inactivity and obesity were the most concentrated behavioural risk factors in both years. Conclusions: To prevent chronic diseases, health policy should aim not only to improve individual health behaviours in the population, but also to reduce socioeconomic inequality. Our study suggests promoting a healthy lifestyle in the most disadvantaged socioeconomic classes as a strategy to improve the health conditions of the whole population.

Can integration reduce inequity in healthcare utilization? Evidence and hurdles in China.

BACKGROUND: Integration of medical insurance schemes has been prioritized as one of the key strategies to address inequity in China's health system. The first pilot attempt to integrate started in 2003 and later expanded nationwide. This study aims to assess its intended impact on inequity in inpatient service utilization and identify the main determinants contributing to its ineffectiveness. METHODS: A total of 49,365 respondents in the pilot integrated area and 77,165 respondents in the non-integration area were extracted from the Fifth National Health Services Survey. A comparative analysis was conducted between two types of areas. We calculate a concentration index (CI) and horizontal inequity index (HI) in inpatient service utilization and decompose the two indices. RESULTS: Insurance integration played a positive role in reducing inequality in inpatient service utilization to some extent. A 13.23% lower in HI, a decrease in unmet inpatient care and financial barriers to inpatient care in the pilot integrated area compared with the non-integration area; decomposition analysis showed that the Urban-Rural Residents Basic Medical Insurance, a type of integrated insurance, contributed 37.49% to reducing inequality in inpatient service utilization. However, it still could not offset the strong negative effect of income and other insurance schemes that have increased inequality. CONCLUSIONS: The earlier pilot attempt for integrating medical insurance was not enough to counteract the influence of factors which increased the inequality in inpatient service utilization. Further efforts to address the inequality should focus on widening access to financing, upgrading the risk pool, reducing gaps within and between insurance schemes, and providing broader chronic disease benefit packages. Social policies that target the needs of the poor with coordinated efforts from various levels and agencies of the government are urgently needed.

Using the Technology Acceptance Model to Explore User Experience, Intent to Use, and Use Behavior of a Patient Portal Among Older Adults With Multiple Chronic Conditions: Descriptive Qualitative Study.

BACKGROUND: Patient portals offer modern digital tools for older adults with multiple chronic conditions (MCC) to engage in their health management. However, there are barriers to portal adoption among older adults. Understanding portal user interface and user experience (UI and UX) preferences of older adults with MCC may improve the accessibility, acceptability, and adoption of patient portals. OBJECTIVE: The aim of this study was to use the Technology Acceptance Model (TAM) as a framework for qualitatively describing the UI and UX, intent to use, and use behaviors among older patients with MCC. METHODS: We carried out a qualitative descriptive study of Kaiser Permanente Colorado's established patient portal, My Health Manager. Older patients (N=24; mean 78.41 (SD 5.4) years) with MCC participated in focus groups. Stratified random sampling was used to maximize age and experience with the portal among participants. The semistructured focus groups used a combination of discussion and think-aloud strategies. A total of 2 coders led the theoretically driven analysis based on the TAM to determine themes related to use behavior, portal usefulness and ease of use, and intent to use. RESULTS: Portal users commonly used email, pharmacy, and lab results sections of the portal. Although, generally, the portal was seen to be easy to use, simple, and quick, challenges related to log-ins, UI design (color and font), and specific features were identified. Such challenges inhibited participants' intent to use the portal entirely or specific features. Participants indicated that the portal improved patient-provider communication, saved time and money, and provided relevant health information. Participants intended to use features that were beneficial to their health management and easy to use. CONCLUSIONS: Older adults are interested in using patient portals and are already taking advantage of the features available to them. We have the opportunity to better engage older adults in portal use but need to pay close attention to key considerations promoting usefulness and ease of use.

Temporal patterns in the risk of chronic health conditions in survivors of childhood cancer diagnosed 1970-99: a report from the Childhood Cancer Survivor Study cohort.

BACKGROUND: Treatments for childhood cancer have evolved over the past 50 years, with the goal of maximising the proportion of patients who achieve long-term survival, while minimising the adverse effects of therapy. We aimed to assess incidence patterns of serious chronic health conditions in long-term survivors of childhood cancer across three decades of diagnosis and treatment. METHODS: We used data from the Childhood Cancer Survivor Study, a retrospective cohort with longitudinal follow-up of 5-year survivors of common childhood cancers (leukaemia, tumours of the CNS, Hodgkin lymphoma, non-Hodgkin lymphoma, Wilms tumour, neuroblastoma, soft tissue sarcoma, or bone tumours) who were diagnosed before the age of 21 years and from 1970 to 1999 in North America. We examined the cumulative incidence of severe to fatal chronic health conditions occurring up to 20 years post-diagnosis among survivors, compared by diagnosis decade. We used multivariable regression models to estimate hazard ratios per diagnosis decade, and we added treatment variables to assess whether treatment changes attenuated associations between diagnosis decade and chronic disease risk. FINDINGS: Among 23 601 survivors with a median follow-up of 21 years (IQR 15-25), the 20-year cumulative incidence of at least one grade 3-5 chronic condition decreased significantly from 33·2% (95% CI 32·0-34·3) in those diagnosed 1970-79 to 29·3% (28·4-30·2; p<0·0001) in 1980-89, and 27·5% (26·4-28·6; p=0·012 vs 1980-89) in 1990-99. By comparison, the 20-year cumulative incidence of at least one grade 3-5 condition in 5051 siblings was 4·6% (95% CI 3·9-5·2). The 15-year cumulative incidence of at least one grade 3-5 condition was lower for survivors diagnosed 1990-99 compared with those diagnosed 1970-79 for Hodgkin lymphoma (17·7% [95% CI 15·0-20·5] vs 26·4% [23·8-29·1]; p<0·0001), non-Hodgkin lymphoma (16·9% [14·0-19·7] vs 23·8% [19·9-27·7]; p=0.0053), astrocytoma (30·5% [27·8-33·2] vs 47·3% [42·9-51·7]; p<0·0001), Wilms tumour (11·9% [9·5-14·3] vs 17·6% [14·3-20·8]; p=0·034), soft tissue sarcoma (28·3% [23·5-33·1] vs 36·5% [31·5-41·4]; p=0·021), and osteosarcoma (65·6% [60·6-70·6] vs 87·5% [84·1-91·0]; p<0·0001). By contrast, the 15-year cumulative incidence of at least one grade 3-5 condition was higher (1990-99 vs 1970-79) for medulloblastoma or primitive neuroectodermal tumour (58·9% [54·4-63·3] vs 42·9% [34·9-50·9]; p=0·00060), and neuroblastoma (25·0% [21·8-28·2] vs 18·0% [14·5-21·6]; p=0·0045). Results were consistent with changes in treatment as a significant mediator of the association between diagnosis decade and risk of grade 3-5 chronic conditions for astrocytoma (HR per decade without treatment in the model = 0·77, 95% CI 0·64-0·92; HR with treatment in the model=0·89, 95% CI 0·72-1·11; pmediation=0·0085) and Hodgkin lymphoma (HR without treatment=0·75, 95% CI 0·65-0·85; HR with treatment=0·91, 95% CI 0·73-1·12; pmediation=0·024). Temporal decreases in 15-year cumulative incidence comparing survivors diagnosed 1970-79 to survivors diagnosed 1990-99 were noted for endocrinopathies (5·9% [5·3-6·4] vs 2·8% [2·5-3·2]; p<0·0001), subsequent malignant neoplasms (2·7% [2·3-3·1] vs 1·9% [1·6-2·2]; p=0·0033), musculoskeletal conditions (5·8% [5·2-6·4] vs 3·3% [2·9-3·6]; p<0·0001), and gastrointestinal conditions (2·3% [2·0-2·7] vs 1·5% [1·3-1·8]; p=0·00037), while hearing loss increased (3·0% [2·6-3·5] vs 5·7% [5·2-6·1]; p<0·0001). INTERPRETATION: Our results suggest that more recently treated survivors of childhood cancer had improvements in health outcomes, consistent with efforts over the same time period to modify childhood cancer treatment regimens to maximise overall survival, while reducing risk of long-term adverse events. Continuing advances in cancer therapy offer promise of further reducing the risk of long-term adverse events in childhood cancer survivors. However, achieving long-term survival for childhood cancer continues to come at a cost for many survivors, emphasising the importance of long-term follow-up care for this population. FUNDING: National Cancer Institute and the American Lebanese-Syrian Associated Charities.

Impact of Practice Facilitation in Primary Care on Chronic Disease Care Processes and Outcomes: a Systematic Review.

BACKGROUND: More than 100 million individuals in the USA have been diagnosed with a chronic disease, yet chronic disease care has remained fragmented and of inconsistent quality. Improving chronic disease management has been challenging for primary care and internal medicine practitioners. Practice facilitation provides a comprehensive approach to chronic disease care. The objective is to evaluate the impact of practice facilitation on chronic disease outcomes in the primary care setting. METHODS: This systematic review examined North American studies from PubMed, EMBASE, and Web of Science (database inception to August 2017). Investigators independently extracted and assessed the quality of the data on chronic disease process and clinical outcome measures. Studies implemented practice facilitation and reported quantifiable care processes and patient outcomes for chronic disease. Each study and their evidence were assessed for risk of bias and quality according to the Cochrane Collaboration and the Grade Collaboration tool. RESULTS: This systematic review included 25 studies: 12 randomized control trials and 13 prospective cohort studies. Across all studies, practices and their clinicians were aware of the implementation of practice facilitation. Improvements were observed in most studies for chronic diseases including asthma, cancer (breast, cervical, and colorectal), cardiovascular disease (cerebrovascular disease, coronary artery disease, dyslipidemia, hypertension, myocardial infarction, and peripheral vascular disease), and type 2 diabetes. Mixed results were observed for chronic kidney disease and chronic illness care. DISCUSSION: Overall, the results suggest that practice facilitation may improve chronic disease care measures. Across all studies, practices were aware of practice facilitation. These findings lend support for the potential expansion of practice facilitation in primary care. Future work will need to investigate potential opportunities for practice facilitation to improve chronic disease outcomes in other health care settings (e.g., specialty and multi-specialty practices) with standardized measures.

Racial and Ethnic Disparities in Diagnosis of Chronic Medical Conditions in the USA.

BACKGROUND: There exist racial and ethnic disparities in the prevalence of chronic medical illnesses. However, it is unclear if the disparities arise from patients' self-reported estimates on these diseases and whether there is an association between healthcare utilization and diagnosis. OBJECTIVE: To estimate national racial/ethnic prevalence of undiagnosed hypertension, diabetes, high cholesterol, and kidney disease and identify characteristics associated with undiagnosed diseases. DESIGN: Retrospective analysis of multi-year survey data. PARTICIPANTS: Adults 18 years and older who participated in the National Health and Nutrition Examination Survey during 2011-2014 (n = 10,403). MAIN OUTCOMES: Undiagnosed hypertension (SBP ≥ 140 or DBP ≥ 90 on physical examination with no history of hypertension), undiagnosed diabetes (hgba1c ≥ 6.5% with no history of diabetes), undiagnosed high cholesterol (LDL ≥ 160 mg/dL with no history of high cholesterol), and undiagnosed kidney disease (eGFR ≤ 30 with no history of kidney disease). RESULTS: The study sample was categorized into Whites, Blacks, Hispanics, Asians, and Other. After adjusting for sociodemographic characteristics, Asians had increased odds of undiagnosed hypertension (OR = 1.41 [1.06-1.86]) and diabetes (OR = 6.16 [3.76-10.08]) compared to Whites. Blacks (OR = 2.53 [1.71-3.73]) and Hispanics (OR = 1.88 [1.19-2.99]) had increased odds of undiagnosed diabetes compared to Whites. Multivariate logistic regression analysis indicated that not having any health insurance was associated with increased odds of undiagnosed diabetes and hyperlipidemia (OR = 1.56 [1.00-2.44] and OR = 2.08 [1.44-3.00], respectively). A recent healthcare visit was associated with a lower likelihood of having undiagnosed hypertension (OR = 0.58 [0.41-0.83]) and diabetes (OR = 0.35 [0.18-0.69]). CONCLUSIONS: In a nationally representative cohort, Asians had higher rates of undiagnosed hypertension and diabetes, and all minorities were more likely to have undiagnosed diabetes compared to Whites. Healthcare utilization was associated with undiagnosed medical conditions. Our study showed that reliance on self-reported data may systemically underestimate the prevalence of chronic illnesses among minorities and further research is needed to understand the significance of healthcare utilization in health outcomes.

Use of Chronic Care Management Codes for Medicare Beneficiaries: a Missed Opportunity?

BACKGROUND: Physicians spend significant time outside of regular office visits caring for complex patients, and this work is often uncompensated. In 2015, the Centers for Medicare & Medicaid Services (CMS) introduced a billing code for care coordination between office visits for beneficiaries with multiple chronic conditions. OBJECTIVE: Characterize use of the Chronic Care Management (CCM) code in New England in 2015. DESIGN: Retrospective observational analysis. PARTICIPANTS: All Medicare fee-for-service beneficiaries in New England continuously enrolled in Parts A and B in 2015. INTERVENTION: None. MAIN MEASURES: The primary outcome was the number of beneficiaries with a CCM claim per 1000 eligible beneficiaries. Secondary outcomes included the total number of CCM claims, total reimbursement, mean number of claims per beneficiary, and beneficiary characteristics independently associated with receiving CCM services. KEY RESULTS: Of the more than two million Medicare fee-for-service beneficiaries in New England, almost 1.7 million were potentially eligible for CCM services. Among eligible beneficiaries, 10,951 (0.65%) had a CCM claim in 2015. Massachusetts had the highest penetration of CCM use (9.40 claims per 1000 eligible beneficiaries); Vermont had the lowest (0.54 claims per 1000 eligible beneficiaries). Mean reimbursement per physician was $1745.98. Age, race/ethnicity, dual-eligible status, income, number of chronic conditions, and state of residence were associated with receiving CCM services in an adjusted model. CONCLUSIONS: The CCM code is likely underutilized in New England; the program may therefore not be achieving its intended goal of encouraging consistent, team-based chronic care management for Medicare's most complex beneficiaries. Or practices may be foregoing reimbursement for care coordination that they are already providing. Recently implemented revisions may improve uptake of CCM services; it will be important to compare our results with future utilization.

Secular trends in the prevalence of major and subthreshold depression among 55-64-year olds over 20 years.

BACKGROUND: Studying secular trends in the exposure to risk and protective factors of depression and whether these trends are associated with secular trends in the prevalence of depression is important to estimate future healthcare demands and to identify targets for prevention. METHODS: Three birth cohorts of 55-64-year olds from the population-based Longitudinal Aging Study Amsterdam were examined using identical methods in 1992 (n = 944), 2002 (n = 964) and 2012 (n = 957). A two-stage screening design was used to identify subthreshold depression (SUBD) and major depressive disorder (MDD). Multinomial logistic regression analyses were used to identify secular trends in depression prevalence and to identify factors from the biopsychosocial domains of functioning that were associated with these trends. RESULTS: Compared with 1992, MDD became more prevalent in 2002 (OR 1.90, 95% CI 1.10-3.28, p = 0.022) and 2012 (OR 1.80, 95% CI 1.03-3.14, p = 0.039). This was largely attributable to an increase in the prevalence of chronic diseases and functional limitations. Socioeconomic and psychosocial improvements, including an increase in labor market participation, social support and mastery, hampered MDD rates to rise more and were also associated with a 32% decline of SUBD-rates in 2012 as compared with 2002 (OR 0.68, 95% CI 0.48-0.96, p = 0.03). CONCLUSIONS: Among late middle-aged adults, there is a substantial net increase of MDD, which is associated with deteriorating physical health. If morbidity and disability continue to increase, a further expansion of MDD rates may be expected. Improving socioeconomic and psychosocial conditions may benefit public health, as these factors were protective against a higher prevalence of both MDD and SUBD.