Do coverage expansion and patient-centeredness care delivery improve patient health outcomes and care quality?

Although correlated, improvement of patient health outcomes and quality of care is a result of health care delivery, performance, and healthcare policies that intend to impact health outcomes (Porter, 2010; AHRQ, 2015). This dissertation focuses on a special model of care delivery (Patient-Centered Medical Homes (PCMH)) and two programs (Addiction and Recovery Treatment Services (ARTS) and Medicaid expansion) to examine the correlation and impact of these programs on cardiovascular-related preventive care, healthcare expenditures, and health behavior hospitalizations as patient outcomes

Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans

Early prediction of Alzheimer's disease (AD) is crucial for timely intervention and treatment. This study aims to use machine learning approaches to analyze longitudinal electronic health records (EHRs) of patients with AD and identify signs and symptoms that can predict AD onset earlier. We used a case-control design with longitudinal EHRs from the U.S. Department of Veterans Affairs Veterans Health Administration (VHA) from 2004 to 2021. Cases were VHA patients with AD diagnosed after 1/1/2016 based on ICD-10-CM codes, matched 1:9 with controls by age, sex and clinical utilization with replacement. We used a panel of AD-related keywords and their occurrences over time in a patient's longitudinal EHRs as predictors for AD prediction with four machine learning models. We performed subgroup analyses by age, sex, and race/ethnicity, and validated the model in a hold-out and "unseen" VHA stations group. Model discrimination, calibration, and other relevant metrics were reported for predictions up to ten years before ICD-based diagnosis. The study population included 16,701 cases and 39,097 matched controls. The average number of AD-related keywords (e.g., "concentration", "speaking") per year increased rapidly for cases as diagnosis approached, from around 10 to over 40, while remaining flat at 10 for controls. The best model achieved high discriminative accuracy (ROCAUC 0.997) for predictions using data from at least ten years before ICD-based diagnoses. The model was well-calibrated (Hosmer-Lemeshow goodness-of-fit p-value = 0.99) and consistent across subgroups of age, sex and race/ethnicity, except for patients younger than 65 (ROCAUC 0.746). Machine learning models using AD-related keywords identified from EHR notes can predict future AD diagnoses, suggesting its potential use for identifying AD risk using EHR notes, offering an affordable way for early screening on large population.Comment: 24 page

Utilization of mental health services among urban youth with emotional and behavioral disorders: racial/ethnic differences in emergency department and outpatient visits

Rising rates of pediatric emergency department (ED) visits for psychiatric reasons pose a significant burden for healthcare systems in the United States. Utilization of outpatient mental health treatment by youth and their families may prevent some behavioral health crises requiring emergency services, as well as non-urgent ED visits where emergency care is not necessary. This study utilized de-identified electronic health records to examine seasonal and secular patterns in both psychiatric ED presentation and outpatient mental health care utilization among youth, as well as the association of outpatient mental health care with psychiatric ED visits. Racial/ethnic differences in service utilization were also examined. The study sample consisted of 25,545 school-aged youth who were diagnosed with an emotional or behavioral disorder and received services at Boston Medical Center (BMC) between 2009 and 2018. Results indicate significant seasonal patterns in both psychiatric ED visits and outpatient mental healthcare that parallel the school calendar, with more youth receiving services during the school year than in the summer. Mental healthcare among youth of color was more closely aligned with the school calendar than among White youth, suggesting that schools may be more instrumental for the referral of youth of color into mental healthcare than for White youth. In addition, youth who accessed outpatient care were at decreased risk for psychiatric ED presentation as compared to youth who had not accessed outpatient services. Longer duration of outpatient treatment and a greater number of visits were associated with increased risk for ED presentation, whereas greater frequency of visits was associated with decreased risk for ED presentation. Findings suggest that preventive outreach for youth and families may be particularly helpful in late summer and early winter, prior to significant increases in both psychiatric ED visits and outpatient service use

Reviving Full-Service Family Practice in British Columbia

Describes innovative operational reforms made in the province's fee-for-service system to improve quality of care and reduce costs, including incentive payments for chronic disease management and enhanced training. Outlines lessons learned and challenges

Mental health conditions in older multimorbid patients presenting to the emergency department for acute cardiac symptoms: Cross‐sectional findings from the EMASPOT study

Background: This study aimed to (1) examine the proportion of patients presenting to an emergency department (ED) for acute cardiac symptoms with comorbid mental health conditions (MHCs) comprising current depression, generalized anxiety disorder, and panic disorder; (2) compare cardiac patients with and without MHCs regarding sociodemographic, medical, and psychological characteristics; and (3) examine recognition and treatment rates of MHCs. Methods: Multimorbid patients, aged ≥50 years, presenting to an inner-city ED with acute cardiac symptoms including chest pain, dyspnea, and palpitations, completed validated self-report instruments assessing MHCs and a questionnaire collecting psychosocial and medical information. In addition, routine medical data were extracted from the electronic health record. Results: A total of 641 patients were included in the study. Mean (±SD) age was 68.8 (±10.8) years and 41.7% were female. Based on screening instruments, 28.4% of patients were affected with comorbid MHCs. Patients reported clinically significant symptoms of depression (23.3% PHQ-9 ≥10), generalized anxiety disorder (12.2% GAD-7 ≥10), and panic disorder (4.7% PHQ-PD). Patients with MHCs were more likely to be younger, female, lower educated, and unemployed. The presence of MHCs was associated with higher cardiac symptom burden and subjective treatment urgency as well as more psychosocial distress (PHQ-stress) and impaired quality of life (SF-12v2). Of all patients, 15.6% were identified with new or unrecognized MHCs. Conclusions: MHCs are prevalent in nearly one-third of patients presenting with cardinal cardiac symptoms. Thus, the ED visit offers an opportunity to identify and refer patients with MHCs to appropriate and timely care after exclusion of life-threatening conditions

Development and Validation of eRADAR: A Tool Using EHR Data to Detect Unrecognized Dementia.

ObjectivesEarly recognition of dementia would allow patients and their families to receive care earlier in the disease process, potentially improving care management and patient outcomes, yet nearly half of patients with dementia are undiagnosed. Our aim was to develop and validate an electronic health record (EHR)-based tool to help detect patients with unrecognized dementia (EHR Risk of Alzheimer's and Dementia Assessment Rule [eRADAR]).DesignRetrospective cohort study.SettingKaiser Permanente Washington (KPWA), an integrated healthcare delivery system.ParticipantsA total of 16 665 visits among 4330 participants in the Adult Changes in Thought (ACT) study, who undergo a comprehensive process to detect and diagnose dementia every 2 years and have linked KPWA EHR data, divided into development (70%) and validation (30%) samples.MeasurementsEHR predictors included demographics, medical diagnoses, vital signs, healthcare utilization, and medications within the previous 2 years. Unrecognized dementia was defined as detection in ACT before documentation in the KPWA EHR (ie, lack of dementia or memory loss diagnosis codes or dementia medication fills).ResultsOverall, 1015 ACT visits resulted in a diagnosis of incident dementia, of which 498 (49%) were unrecognized in the KPWA EHR. The final 31-predictor model included markers of dementia-related symptoms (eg, psychosis diagnoses, antidepressant fills), healthcare utilization pattern (eg, emergency department visits), and dementia risk factors (eg, cerebrovascular disease, diabetes). Discrimination was good in the development (C statistic = .78; 95% confidence interval [CI] = .76-.81) and validation (C statistic = .81; 95% CI = .78-.84) samples, and calibration was good based on plots of predicted vs observed risk. If patients with scores in the top 5% were flagged for additional evaluation, we estimate that 1 in 6 would have dementia.ConclusionThe eRADAR tool uses existing EHR data to detect patients with good accuracy who may have unrecognized dementia. J Am Geriatr Soc 68:103-111, 2019

Costs and outcomes of increasing access to bariatric surgery for obesity: cohort study and cost-effectiveness analysis using electronic health records

Background: Bariatric surgery is known to be an effective treatment for extreme obesity but access to these procedures is currently limited. Objective: This study aimed to evaluate the costs and outcomes of increasing access to bariatric surgery for severe and morbid obesity. Design and methods: Primary care electronic health records from the UK Clinical Practice Research: Datalink were analysed for 3045 participants who received bariatric surgery and 247,537 general population controls. The cost-effectiveness of bariatric surgery was evaluated in severe and morbid obesity through a probabilistic Markov model populated with empirical data from electronic health records. Results: In participants who did not undergo bariatric surgery, the probability of participants with morbid obesity attaining normal body weight was 1 in 1290 annually for men and 1 in 677 for women. Costs of health-care utilisation increased with body mass index category but obesity-related physical and psychological comorbidities were the main drivers of health-care costs. In a cohort of 3045 adult obese patients with first bariatric surgery procedures between 2002 and 2014, bariatric surgery procedure rates were greatest among those aged 35–54 years, with a peak of 37 procedures per 100,000 population per year in women and 10 per 100,000 per year in men. During 7 years of follow-up, the incidence of diabetes diagnosis was 28.2 [95% confidence interval (CI) 24.4 to 32.7] per 1000 person-years in controls and 5.7 (95% CI 4.2 to 7.8) per 1000 person-years in bariatric surgery patients (adjusted hazard ratio was 0.20, 95% CI 0.13 to 0.30; p<0.0001). In 826 obese participants with type 2 diabetes mellitus who received bariatric surgery, the relative rate of diabetes remission, compared with controls, was 5.97 (95% CI 4.86 to 7.33; p<0.001). There was a slight reduction in depression in the first 3 years following bariatric surgery that was not maintained. Incremental lifetime costs associated with bariatric surgery were £15,258 (95% CI £15,184 to £15,330), including costs associated with bariatric surgical procedures of £9164 per participant. Incremental quality-adjusted life-years (QALYs) were 2.142 (95% CI 2.031 to 2.256) per participant. The estimated cost per QALY gained was £7129 (95% CI £6775 to £7506). Estimates were similar across gender, age and deprivation subgroups. Limitations: Intervention effects were derived from a randomised trial with generally short follow-up and non-randomised studies of longer duration. Conclusions: Bariatric surgery is associated with increased immediate and long-term health-care costs but these are exceeded by expected health benefits to obese individuals with reduced onset of new diabetes, remission of existing diabetes and lower mortality. Diverse obese individuals have clear capacity to benefit from bariatric surgery at acceptable cost. Future work: Future research should evaluate longer-term outcomes of currently used procedures, and ways of delivering these more efficiently and safely