Home Health Care Utilization in Children With Medicaid.

BACKGROUND: Although many children with medical complexity (CMC) use home health care (HHC), little is known about all pediatric HHC utilizers. Our objective was to assess characteristics of pediatric HHC recipients, providers, and payments. METHODS: We conducted a retrospective analysis of 5 209 525 children age 0-to-17 years enrolled Medicaid in the 2016 IBM Watson MarketScan Medicaid Database. HHC utilizers had ≥ 1 HHC claim. Healthcare Common Procedure Coding System (HCPCS) and Current Procedural Terminology (CPT) codes were reviewed to codify provider types when possible: registered nurse (RN), licensed practical nurse (LPN), home health aide (HHA), certified nursing assistant (CNA), or companion/personal attendant. Enrollee clinical characteristics, HHC provider type, and payments were assessed. Chronic conditions were evaluated with Agency for Healthcare Research and Quality's Chronic Condition Indicators and Feudtner's Complex Chronic Conditions. RESULTS: Of the 0.8% of children who used HHC, 43.8% were age <1 year, 25% had no chronic condition, 38.6% had a noncomplex chronic condition, 21.5% had a complex chronic condition without technology assistance, and 15.5% had technology assistance (eg, tracheostomy). HHC for children with technology assistance accounted for 72.6% of all HHC spending. Forty-five percent of HHC utilizers received RN/LPN-level care, 7.9% companion/personal attendant care, 5.9% HHA/CNA-level care, and 36% received care from an unspecified provider. For children with technology assistance, the majority (77.2%) received RN/LPN care, 17.5% companion/personal assistant care, and 13.8% HHA/CNA care. CONCLUSIONS: Children using HHC are a heterogeneous population who receive it from a variety of providers. Future investigations should explore the role of nonnurse caregivers, particularly with CMC.

Multimorbidity prediction using link prediction.

Multimorbidity, frequently associated with aging, can be operationally defined as the presence of two or more chronic conditions. Predicting the likelihood of a patient with multimorbidity to develop a further particular disease in the future is one of the key challenges in multimorbidity research. In this paper we are using a network-based approach to analyze multimorbidity data and develop methods for predicting diseases that a patient is likely to develop. The multimorbidity data is represented using a temporal bipartite network whose nodes represent patients and diseases and a link between these nodes indicates that the patient has been diagnosed with the disease. Disease prediction then is reduced to a problem of predicting those missing links in the network that are likely to appear in the future. We develop a novel link prediction method for static bipartite network and validate the performance of the method on benchmark datasets. By using a probabilistic framework, we then report on the development of a method for predicting future links in the network, where links are labelled with a time-stamp. We apply the proposed method to three different multimorbidity datasets and report its performance measured by different performance metrics including AUC, Precision, Recall, and F-Score.

Checklist for follow-up of adolescents with chronic illness. A monitoring tool to help prepare the transition from pediatric to adult care.

Adolescence can be a particularly challenging period for individuals with a chronic illness. To help the specialized healthcare teams, an expert panel drafted a checklist of topics to be addressed throughout adolescence that are often not covered in subspecialty clinic visits such as peers, coping, adherence, understanding of illness, sexuality, etc., since these topics apply to youth with special healthcare needs. Each member of the specialized team can discuss one of the themes according to their role with the adolescent as a doctor, educator, nurse, dietician, etc. The coherence of the team enables a comprehensive approach and will facilitate the transition to adult medical care.

Timing of Co-occurring Chronic Conditions in Children With Neurologic Impairment.

BACKGROUND: Children with neurologic impairment (NI) are at risk for developing co-occurring chronic conditions, increasing their medical complexity and morbidity. We assessed the prevalence and timing of onset for those conditions in children with NI. METHODS: This longitudinal analysis included 6229 children born in 2009 and continuously enrolled in Medicaid through 2015 with a diagnosis of NI by age 3 in the IBM Watson Medicaid MarketScan Database. NI was defined with an existing diagnostic code set encompassing neurologic, genetic, and metabolic conditions that result in substantial functional impairments requiring subspecialty medical care. The prevalence and timing of co-occurring chronic conditions was assessed with the Agency for Healthcare Research and Quality Chronic Condition Indicator system. Mean cumulative function was used to measure age trends in multimorbidity. RESULTS: The most common type of NI was static (56.3%), with cerebral palsy (10.0%) being the most common NI diagnosis. Respiratory (86.5%) and digestive (49.4%) organ systems were most frequently affected by co-occurring chronic conditions. By ages 2, 4, and 6 years, the mean (95% confidence interval [CI]) numbers of co-occurring chronic conditions were 3.7 (95% CI 3.7-3.8), 4.6 (95% CI 4.5-4.7), and 5.1 (95% CI 5.1-5.2). An increasing percentage of children had ≥9 co-occurring chronic conditions as they aged: 5.3% by 2 years, 10.0% by 4 years, and 12.8% by 6 years. CONCLUSIONS: Children with NI enrolled in Medicaid have substantial multimorbidity that develops early in life. Increased attention to the timing and types of multimorbidity in children with NI may help optimize their preventive care and case management health services.

Factors associated with de-hospitalization of children and adolescents with complex chronic condition / Fatores associados à desospitalização de crianças e adolescentes com condição crônica complexa

ABSTRACT Objective: To assess the factors associated with the de-hospitalization of children and adolescents with complex chronic condition. Methods: This cross-sectional and retrospective study investigated a sample of children and adolescents admitted to the Dehospitalization Training Unit, from January 2012 to December 2017. Data were collected by consulting medical records and patient record books, from November 2018 to June 2019. The length of stay in the unit, de-hospitalization, readmissions, frequency and cause of death, age, sex, diagnosis, place of residence, number of caregivers and kinship, and use of devices were studied. The chi-square test was used to verify the association between the dependent variable (de-hospitalization) and the independent variables (age, sex, place of residence, use of devices, and clinical diagnosis). Results: A total of 93 patient records were analyzed, 37.6% aged between 7 months and 2 years old, 58.1% boys, 95.7% used tracheostomy, 92.5% gastrostomy, and 71% invasive mechanical ventilation. Hypoxic-ischemic encephalopathy was the diagnosis of 40.3% of the sample. Average hospitalization time was 288 ± 265 days; 60.2% were hospitalized between 31 days and one year, representing 50% of deaths. Of those de-hospitalized, 76.3% were discharged to the Ventilatory Assistance Homecare Program. De-hospitalization was associated with the child or adolescent's place of residence (p=0.027) and use of ventriculoperitoneal shunt (p=0.021). Conclusions: This study identified that de-hospitalization may be associated with the place of residence of the child or adolescent, with the highest number of discharges to the state capital, and non-dehospitalization when using ventricular-peritoneal shunt.

RESUMO Objetivo: Avaliar os fatores associados à desospitalização de crianças e adolescentes com condição crônica complexa. Métodos: Estudo transversal e retrospectivo, que investigou a população de crianças e adolescentes internados na Unidade de Treinamento para Desospitalização (UTD), de janeiro de 2012 a dezembro de 2017. Os dados foram coletados por meio da consulta aos prontuários e livros de registros, de novembro de 2018 a junho de 2019. Foram estudados o período de internamento na UTD, a desospitalização, as reinternações, a frequência e causa dos óbitos, a idade, o sexo, o diagnóstico, o local de residência, o número de cuidadores e parentesco e o uso de dispositivos. Utilizou-se o teste do qui-quadrado para verificar a associação entre a variável dependente (desospitalização) e as variáveis independentes (idade, sexo, local de residência, uso de dispositivos e diagnóstico clínico). Resultados: O total de 93 prontuários de pacientes foi analisado, 37,6% tinham idade entre sete meses e dois anos, 58,1% eram meninos, 95,7% usavam traqueostomia, 92,5% gastrostomia e 71% ventilação mecânica invasiva. Encefalopatia hipóxico-isquêmica foi o diagnóstico de 40,3% da população. O tempo médio de hospitalização foi 288±265 dias; 60,2% ficaram internados entre 31 dias e um ano, representando 50% dos óbitos. Dos desospitalizados, 76,3% receberam alta para o Programa de Assistência Ventilatória Domiciliar (PAVD). A desospitalização foi associada ao local de procedência (p=0,027) e ao uso de derivação ventriculoperitoneal (DVP) (p=0,021). Conclusões: Identificou-se que a desospitalização esteve associada ao local de residência da criança ou adolescente e ao uso de DVP, sendo o maior número de altas para a capital do estado.

The disease burden of multimorbidity and its interaction with educational level.

INTRODUCTION: Policies to adequately respond to the rise in multimorbidity have top-priority. To understand the actual burden of multimorbidity, this study aimed to: 1) estimate the trend in prevalence of multimorbidity in the Netherlands, 2) study the association between multimorbidity and physical and mental health outcomes and healthcare cost, and 3) investigate how the association between multimorbidity and health outcomes interacts with socio-economic status (SES). METHODS: Prevalence estimates were obtained from a nationally representative pharmacy database over 2007-2016. Impact on costs was estimated in a fixed effect regression model on claims data over 2009-2015. Data on physical and mental health and SES were obtained from the National Health Survey in 2017, in which the Katz-10 was used to measure limitations in activities of daily living (ADL) and the Mental Health Inventory (MHI) to measure mental health. SES was approximated by the level of education. Generalized linear models (2-part models for ADL) were used to analyze the health data. In all models an indicator variable for the presence or absence of multimorbidity was included or a categorical variable for the number of chronic conditions. Interactions terms of multimorbidity and educational level were added into the previously mentioned models. RESULTS: Over the past ten years, there was an increase of 1.6%-point in the percentage of people with multimorbidity. The percentage of people with three or more conditions increased with +2.1%-point. People with multimorbidity had considerably worse physical and mental health outcomes than people without multimorbidity. For the ADL, the impact of multimorbidity was three times greater in the lowest educational level than in the highest educational level. For the MHI, the impact of multimorbidity was two times greater in the lowest than in the highest educational level. Each additional chronic condition was associated with a greater worsening in health outcomes. Similarly, for costs, where there was no evidence of a diminishing impact of additional conditions either. In patients with multimorbidity total healthcare costs were on average €874 higher than in patients with a single morbidity. CONCLUSION: The impact of multimorbidity on health and costs seems to be greater in the sicker and lower educated population.

Effect of COVID-19 lockdown on patients with chronic diseases.

BACKGROUND AND AIMS: We sought to measure the effect of lockdown, implemented to contain COVID-19 infection, on routine living and health of patients with chronic diseases and challenges faced by them. METHODS: A semi-structured online questionnaire was generated using "Google forms" and sent to the patients with chronic diseases using WhatsApp. Data were retrieved and analyzed using SPSS. RESULTS: Out of 181 participants, 98% reported effect of lockdown on their routine living while 45% reported an effect on their health. The key challenges due to lockdown were to do daily exercise, missed routine checkup/lab testing and daily health care. CONCLUSION: It is important to strategize the plan for patients with chronic diseases during pandemic or lockdown.

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.

The Impact Of The COVID-19 Pandemic On Hospital Admissions In The United States.

Hospital admissions in the US fell dramatically with the onset of the coronavirus disease 2019 (COVID-19) pandemic. However, little is known about differences in admissions patterns among patient groups or the extent of the rebound. In this study of approximately one million medical admissions from a large, nationally representative hospitalist group, we found that declines in non-COVID-19 admissions from February to April 2020 were generally similar across patient demographic subgroups and exceeded 20 percent for all primary admission diagnoses. By late June/early July 2020, overall non-COVID-19 admissions had rebounded to 16 percent below prepandemic baseline volume (8 percent including COVID-19 admissions). Non-COVID-19 admissions were substantially lower for patients residing in majority-Hispanic neighborhoods (32 percent below baseline) and remained well below baseline for patients with pneumonia (-44 percent), chronic obstructive pulmonary disease/asthma (-40 percent), sepsis (-25 percent), urinary tract infection (-24 percent), and acute ST-elevation myocardial infarction (-22 percent). Health system leaders and public health authorities should focus on efforts to ensure that patients with acute medical illnesses can obtain hospital care as needed during the pandemic to avoid adverse outcomes.

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.

National Trends in Potentially Preventable Hospitalizations of Older Adults with Dementia.

BACKGROUND/OBJECTIVES: Dementia is associated with higher healthcare expenditures, in large part due to increased hospitalization rates relative to patients without dementia. Data on contemporary trends in the incidence and outcomes of potentially preventable hospitalizations of patients with dementia are lacking. DESIGN: Retrospective cohort study using the National Inpatient Sample from 2012 to 2016. SETTING: U.S. acute care hospitals. PARTICIPANTS: A total of 1,843,632 unique hospitalizations of older adults (aged ≥65 years) with diagnosed dementia. MEASUREMENTS: Annual trends in the incidence of hospitalizations for all causes and for potentially preventable conditions including acute ambulatory care sensitive conditions (ACSCs), chronic ACSCs, and injuries. In-hospital outcomes including mortality, discharge disposition, and hospital costs. RESULTS: The survey weighted sample represented an estimated 9.27 million hospitalizations for patients with diagnosed dementia (mean [standard deviation] age = 82.6 [6.7] years; 61.4% female). In total, 3.72 million hospitalizations were for potentially preventable conditions (40.1%), 2.07 million for acute ACSCs, .76 million for chronic ACSCs, and .89 million for injuries. Between 2012 and 2016, the incidence of all-cause hospitalizations declined from 1.87 million to 1.85 million per year (P = .04) while the incidence of potentially preventable hospitalizations increased from .75 million to .87 million per year (P < .001), driven by an increased number of hospitalizations of community-dwelling older adults. Among patients with dementia hospitalized for potentially preventable conditions, inpatient mortality declined from 6.4% to 6.1% (P < .001), inflation-adjusted median costs increased from $7,319 to $7,543 (P < .001), and total annual costs increased from $7.4 to $9.3 billion. Although 86.0% of hospitalized patients were admitted from the community, only 32.7% were discharged to the community. CONCLUSION: The number of potentially preventable hospitalizations of older adults with dementia is increasing, driven by hospitalizations of community-dwelling older adults. Improved strategies for early detection and goal-directed treatment of potentially preventable conditions in patients with dementia are urgently needed. J Am Geriatr Soc 68:2240-2248, 2020.

Trends in Selected Chronic Conditions and Related Risk Factors Among Women of Reproductive Age: Behavioral Risk Factor Surveillance System, 2011-2017.

Introduction: Chronic diseases in the United States are the leading drivers of disability, death, and health care costs. In women of reproductive age (WRA), chronic disease and related risk factors can also affect fertility and reproductive health outcomes. This analysis of trends from 2011 to 2017 adds additional indicators and updates an analysis covering 2001-2009. Methods: Data from the 2011-2017 Behavioral Risk Factor Surveillance System were analyzed for 265,544 WRA (18-44 years). To assess trends in 12 chronic conditions and related risk factors, we calculated annual prevalence estimates and adjusted prevalence ratios (APRs) with predicted marginals accounting for age, race, Hispanic ethnicity, education, and health care coverage. Results: From 2011 to 2017, prevalence decreased for current smoking (20.7%-15.9%; p < 0.001), gestational diabetes (3.1%-2.7%; p = 0.003), and high cholesterol (19.0%-16.7%; p < 0.001); prevalence increased for depression (20.4%-24.9%; p < 0.001) and obesity (24.6%-27.6%; p < 0.001). After adjustment, in 2017 WRA were more likely to report asthma (APR = 1.06; 95% confidence interval [CI] = 1.01-1.11), physical inactivity (APR = 1.08; 95% CI = 1.04-1.12), obesity (APR = 1.15; 95% CI = 1.11-1.19), and depression (APR = 1.29; 95% CI = 1.25-1.34) compared with 2011. They were less likely to report high cholesterol (APR = 0.89; 95% CI = 0.85-0.94) in 2015 compared with 2011, and current smoking (APR = 0.86; 95% CI = 0.82-0.89) and gestational diabetes (APR = 0.84; 95% CI = 0.75-0.94) in 2017 compared with 2011. Conclusions: Some chronic conditions and related risk factors improved, whereas others worsened over time. Research clarifying reasons for these trends may support the development of targeted interventions to promote improvements, potentially preventing adverse reproductive outcomes and promoting long-term health.

Residential mobility and chronic disease among World Trade Center Health Registry enrollees, 2004-2016.

Residential mobility is hypothesized to impact health through changes to the built environment and disruptions in social networks, and may vary by neighborhood deprivation exposure. However, there are few longitudinal investigations of residential mobility in relation to health outcomes. This study examined enrollees from the World Trade Center Health Registry, a longitudinal cohort of first responders and community members in lower Manhattan on September 11, 2001. Enrollees who completed ≥2 health surveys between 2004 and 2016 and did not have diabetes (N = 44,089) or hypertension (N = 35,065) at baseline (i.e., 2004) were included. Using geocoded annual home addresses, residential mobility was examined using two indicators: moving frequency and displacement. Moving frequency was defined as the number of times someone was recorded as living in a different neighborhood; displacement as any moving to a more disadvantaged neighborhood. We fit adjusted Cox proportional hazards models with time-dependent exposures (moving frequency and displacement) and covariates to evaluate associations with incident diabetes and hypertension. From 2004 to 2016, the majority of enrollees never moved (54.5%); 6.5% moved ≥3 times. Those who moved ≥3 times had a similar hazard of diabetes (hazard ratio (HR) = 0.78; 95% Confidence Interval (CI): 0.40, 1.53) and hypertension (HR = 0.99; 95% CI: 0.68, 1.43) compared with those who never moved. Similarly, displacement was not associated with diabetes or hypertension. Residential mobility was not associated with diabetes or hypertension among a cohort of primarily urban-dwelling adults.

Trends in prevalence of comorbidities in heart failure clinical trials.

AIMS: The primary objective of this systematic review was to estimate the prevalence and temporal changes in chronic comorbid conditions reported in heart failure (HF) clinical trials. METHODS AND RESULTS: We searched MEDLINE for HF trials enrolling more than 400 patients published between 2001 and 2016.Trials were divided into HF with reduced ejection fraction (HFrEF), HF with preserved ejection fraction (HFpEF), or trials enrolling regardless of ejection fraction. The prevalence of baseline chronic comorbid conditions was categorized according to the algorithm proposed by the Chronic Conditions Data Warehouse, which is used to analyse Medicare data. To test for a trend in the prevalence of comorbid conditions, linear regression models were used to evaluate temporal trends in prevalence of comorbidities. Overall, 118 clinical trials enrolling a cumulative total of 215 508 patients were included. Across all comorbidities examined, data were reported in a mean of 35% of trials, without significant improvement during the study period. Reporting of comorbidities was more common in HFrEF trials (51%) compared with HFpEF trials (27%). Among trials reporting data, hypertension (63%), ischaemic heart disease (44%), hyperlipidaemia (48%), diabetes (33%), chronic kidney disease (25%) and atrial fibrillation (25%) were the major comorbidities. The prevalence of comorbidities including hypertension, atrial fibrillation and chronic kidney disease increased over time while the prevalence of smoking decreased in HFrEF trials. CONCLUSION: Many HF trials do not report baseline comorbidities. A more rigorous, systematic, and standardized framework needs to be adopted for future clinical trials to ensure adequate comorbidity reporting and improve recruitment of multi-morbid HF patients.

Nurse as an integrator in healthcare management of children with chronic condition.

OBJECTIVES: to understand the practice of the nurse in healthcare management of children with chronic condition in the hospital setting. METHODS: analytical study of qualitative approach with theoretical and methodological reference of institutional ethnography. Developed in the pediatric unit of a university hospital, in a municipality in Northeastern Brazil. Data collections techniques were: participant observation, documentary analysis and semi-structured interview. Participants of the study totaled twenty professionals, including nurses, social workers, psychologists, pharmacists, nutritionists, physiotherapists, and doctors. For data analysis, it was used the Bardin's Content Analysis with interface of the Atlas.ti software. RESULTS: categories of analysis were "Nurse as mediator of healthcare management"; "Nursing process as a mechanism of healthcare management". FINAL: considerations: the nurse proved to be essential for healthcare management of the child with chronic condition, acting as mediator of the relationship between the doctor, the members of the health team, the user and their family.