Difference in rural and urban Medicare prescription pattern for Parkinson's disease in Hawai'i.

Background: Medical management of Parkinson's Disease (PD) is becoming complex. Increasing evidence suggests that patients have better outcomes when they are managed by neurologists. However, access to neurologists can be limited in rural areas. Analysis of prescription pattern can provide insight into access gap rural patients face. Methods: This retrospective observational study used National Medicare Provider Utilization and Payment Data: Part D Prescriber Public Use Files from 2013 to 2018. Query was made for levodopa, dopamine agonists and other antiparkinsonian medications. The data elements obtained included drug name, number of prescribers, prescriber specialty, number of claims, number of standardized 30-day Part D prescriptions, and number of Medicare beneficiaries in the state of Hawai'i. Individual prescribing providers were categorized as urban or rural based on their cities of practice. Prescription patterns of urban and rural providers in Hawai'i as well as difference in provider specialty were compared, using standardized 30-day prescriptions as the primary measure of utilization. Results: Practice patterns differed between rural and urban areas. In rural Hawai'i, Rytary, Rotigoitne and selegiline were rarely prescribed. Levodopa percentage was higher in urban Hawai'i. In urban Hawai'i, 74.4% of the prescriptions were provided by movement disorders and general neurologists. In rural Hawai'i, 25.1% of the prescriptions were written by neurologists and 74.9% by general practitioners. Conclusions: In the state of Hawai'i, there is an urban-rural access gap to neurologists as evidenced by Medicare prescription pattern. Further study is needed to understand the reasons for rural-urban differences in prescription patterns and their impact on outcomes.

Economic Evaluation: A Randomized Pragmatic Trial of a Primary Care-based Cognitive Behavioral Intervention for Adults Receiving Long-term Opioids for Chronic Pain.

BACKGROUND: Chronic pain is prevalent and costly; cost-effective nonpharmacological approaches that reduce pain and improve patient functioning are needed. OBJECTIVE: Report the incremental cost-effectiveness ratio (ICER), compared with usual care, of cognitive behavioral therapy aimed at improving functioning and pain among patients with chronic pain on long-term opioid treatment. DESIGN: Economic evaluation conducted alongside a pragmatic cluster randomized trial. SUBJECTS: Adults with chronic pain on long-term opioid treatment (N=814). INTERVENTION: A cognitive behavioral therapy intervention teaching pain self-management skills in 12 weekly, 90-minute groups delivered by an interdisciplinary team (behaviorists, nurses) with additional support from physical therapists, and pharmacists. OUTCOME MEASURES: Cost per quality adjusted life year (QALY) gained, and cost per additional responder (≥30% improvement on standard scale assessment of Pain, Enjoyment, General Activity, and Sleep). Costs were estimated as-delivered, and replication. RESULTS: Per patient intervention replication costs were $2145 ($2574 as-delivered). Those costs were completely offset by lower medical care costs; inclusive of the intervention, total medical care over follow-up was $1841 lower for intervention patients. Intervention group patients also had greater QALY and responder gains than did controls. Supplemental analyses using pain-related medical care costs revealed ICERs of $35,000, and $53,000 per QALY (for replication, and as-delivered intervention costs, respectively); the ICER when excluding patients with outlier follow-up costs was $106,000. LIMITATIONS: Limited to 1-year follow-up; identification of pain-related utilization potentially incomplete. CONCLUSION: The intervention was the optimal choice at commonly accepted levels of willingness-to-pay for QALY gains; this finding was robust to sensitivity analyses.

A Primary Care-Based Cognitive Behavioral Therapy Intervention for Long-Term Opioid Users With Chronic Pain : A Randomized Pragmatic Trial.

BACKGROUND: Chronic pain is common, disabling, and costly. Few clinical trials have examined cognitive behavioral therapy (CBT) interventions embedded in primary care settings to improve chronic pain among those receiving long-term opioid therapy. OBJECTIVE: To determine the effectiveness of a group-based CBT intervention for chronic pain. DESIGN: Pragmatic, cluster randomized controlled trial. (ClinicalTrials.gov: NCT02113592). SETTING: Kaiser Permanente health care systems in Georgia, Hawaii, and the Northwest. PARTICIPANTS: Adults (aged ≥18 years) with mixed chronic pain conditions receiving long-term opioid therapy. INTERVENTION: A CBT intervention teaching pain self-management skills in 12 weekly, 90-minute groups delivered by an interdisciplinary team (behaviorist, nurse, physical therapist, and pharmacist) versus usual care. MEASUREMENTS: Self-reported pain impact (primary outcome, as measured by the PEGS scale [pain intensity and interference with enjoyment of life, general activity, and sleep]) was assessed quarterly over 12 months. Pain-related disability, satisfaction with care, and opioid and benzodiazepine use based on electronic health care data were secondary outcomes. RESULTS: A total of 850 patients participated, representing 106 clusters of primary care providers (mean age, 60.3 years; 67.4% women); 816 (96.0%) completed follow-up assessments. Intervention patients sustained larger reductions on all self-reported outcomes from baseline to 12-month follow-up; the change in PEGS score was -0.434 point (95% CI, -0.690 to -0.178 point) for pain impact, and the change in pain-related disability was -0.060 point (CI, -0.084 to -0.035 point). At 6 months, intervention patients reported higher satisfaction with primary care (difference, 0.230 point [CI, 0.053 to 0.406 point]) and pain services (difference, 0.336 point [CI, 0.129 to 0.543 point]). Benzodiazepine use decreased more in the intervention group (absolute risk difference, -0.055 [CI, -0.099 to -0.011]), but opioid use did not differ significantly between groups. LIMITATION: The inclusion of only patients with insurance in large integrated health care systems limited generalizability, and the clinical effect of change in scores is unclear. CONCLUSION: Primary care-based CBT, using frontline clinicians, produced modest but sustained reductions in measures of pain and pain-related disability compared with usual care but did not reduce use of opioid medication. PRIMARY FUNDING SOURCE: National Institutes of Health.

Validation of an ICD-10-based algorithm to identify stillbirth in the Sentinel System.

PURPOSE: To develop and validate an International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM)-based algorithm to identify cases of stillbirth using electronic healthcare data. METHODS: We conducted a retrospective study using claims data from three Data Partners (healthcare systems and insurers) in the Sentinel Distributed Database. Algorithms were developed using ICD-10-CM diagnosis codes to identify potential stillbirths among females aged 12-55 years between July 2016 and June 2018. A random sample of medical charts (N = 169) was identified for chart abstraction and adjudication. Two physician adjudicators reviewed potential cases to determine whether a stillbirth event was definite/probable, the date of the event, and the gestational age at delivery. Positive predictive values (PPVs) were calculated for the algorithms. Among confirmed cases, agreement between the claims data and medical charts was determined for the outcome date and gestational age at stillbirth. RESULTS: Of the 110 potential cases identified, adjudicators determined that 54 were stillbirth events. Criteria for the algorithm with the highest PPV (82.5%; 95% CI, 70.9%-91.0%) included the presence of a diagnosis code indicating gestational age ≥20 weeks and occurrence of either >1 stillbirth-related code or no other pregnancy outcome code (i.e., livebirth, spontaneous abortion, induced abortion) recorded on the index date. We found ≥90% agreement within 7 days between the claims data and medical charts for both the outcome date and gestational age at stillbirth. CONCLUSIONS: Our results suggest that electronic healthcare data may be useful for signal detection of medical product exposures potentially associated with stillbirth.

A Randomized Encouragement Trial to Increase Mail Order Pharmacy Use and Medication Adherence in Patients with Diabetes.

BACKGROUND: Mail order pharmacy (MOP) use has been linked to improved medication adherence and health outcomes among patients with diabetes. However, no large-scale intervention studies have assessed the effect of encouraging MOP use on medication adherence. OBJECTIVE: To assess an intervention to encourage MOP services to increase its use and medication adherence. DESIGN: Randomized encouragement trial. PATIENTS: 63,012 diabetes patients from three health care systems: Kaiser Permanente Northern California (KPNC), Kaiser Permanente Hawaii (KPHI), and Harvard Pilgrim Health Care (HPHC) who were poorly adherent to at least one class of cardiometabolic medications and had not used MOP in the prior 12 months. INTERVENTION: Patients were randomized to receive either usual care (control arm) or outreach encouraging MOP use consisting of a mailed letter, secure email message, and automated telephone call outlining the potential benefits of MOP use (intervention arm). HPHC intervention patients received the letter only. MEASUREMENTS: We compared the percentages of patients that began using MOP and that became adherent to cardiometabolic medication classes during a 12-month follow-up period. We also conducted a race/ethnicity-stratified analysis. RESULTS: During follow-up, 10.6% of intervention patients began using MOP vs. 9.3% of controls (p < 0.01); the percent of cardiometabolic medication delivered via mail was 42.1% vs. 39.8% (p < 0.01). Metformin adherence improved in the intervention arm relative to control at the two KP sites (52% vs. 49%, p < 0.01). Stratified analyses suggested a significant positive effect of the intervention in White (RR: 1.12, 95% CI: 1.03, 1.22) and Asian (RR: 1.30, 95% CI: 1.17, 1.45) patients. CONCLUSION: This pragmatic trial showed that simple outreach to encourage MOP modestly increased its use and improved adherence measured by refills to a key class of diabetes medications in some settings. Given its minimal cost, clinicians and health systems should consider outreach interventions to actively promote MOP use among diabetes patients. TRIAL REGISTRATION: ClinicalTrials.gov registration number: NCT02621476.

Organizational Health Literacy: Opportunities for Patient-Centered Care in the Wake of COVID-19.

BACKGROUND AND OBJECTIVES: The coronavirus disease-2019 (COVID-19) pandemic is transforming the health care sector. As health care organizations move from crisis mobilization to a new landscape of health and social needs, organizational health literacy offers practical building blocks to provide high-quality, efficient, and meaningful care to patients and their families. Organizational health literacy is defined by the Institute of Medicine as "the degree to which an organization implements policies, practices, and systems that make it easier for people to navigate, understand, and use information and services to take care of their health." METHODS: This article synthesizes insights from organizational health literacy in the context of current major health care challenges and toward the goal of innovation in patient-centered care. We first provide a brief overview of the origins and outlines of organizational health literacy research and practice. Second, using an established patient-centered innovation framework, we show how the existing work on organizational health literacy can offer a menu of effective, patient-centered innovative options for care delivery systems to improve systems and outcomes. Finally, we consider the high value of management focusing on organizational health literacy efforts, specifically for patients in health care transitions and in the rapid transformation of care into myriad distance modalities. RESULTS: This article provides practical guidance for systems and informs decisions around resource allocation and organizational priorities to best meet the needs of patient populations even in the face of financial and workforce disruption. CONCLUSIONS: Organizational health literacy principles and guidelines provide a road map for promoting patient-centered care even in this time of crisis, change, and transformation. Health system leaders seeking innovative approaches can have access to well-established tool kits, guiding models, and materials toward many organizational health literacy goals across treatment, diagnosis, prevention, education, research, and outreach.

Adding Social Determinants in the Electronic Health Record in Clinical Care in Hawai'i: Supporting Community-Clinical Linkages in Patient Care.

Social and behavioral determinants of health, such as poverty, homelessness, and limited social support, account for an estimated 40% of health burdens and predict critical health outcomes. Many clinical-community linkages specifically focus on addressing such challenges. Given its distinctive history, culture, and location, Hawai'i has unique social factors impacting population health. Local health systems are striving to address these issues to meet their patients' health needs. Yet the evidence on precisely how health care systems and communities may work together to achieve these goals are limited both generally and specifically in the Hawai'i context. This article describes real-world efforts by 3 local health care delivery systems that integrate the identification of social needs into clinical care using the electronic health record (EHR). One health care system collects and assesses social challenges and interpersonal needs to improve the care for its frail seniors (aged 65 and older). Another system added key data fields around social support and inpatient mobility in the EHR to identify whether patients needed additional help during hospitalization and post-discharge. A third added a social needs screening tool (eg, housing instability, food insecurity, transportation needs) to its EHR to ensure that patient-specific needs can be appropriately addressed by the care team. Successful integration of this information into the EHR can identify, direct, and support clinical-community linkages and integrate such relationships into the care team. Many lessons can be learned from the implementation of these programs, including the importance of clinical relevance and ensuring capacity for social work liaisons trained for this work to address identified needs.

Opportunities to encourage mail order pharmacy delivery service use for diabetes prescriptions: a qualitative study.

BACKGROUND: Medication non-adherence is a major contributor to poor outcomes in diabetes. Previous research has shown an association between use of mail order pharmacy delivery and better medication adherence, but little is known about the barriers and facilitators to mail order pharmacy use in diabetes patients. This qualitative study examined factors related to mail order pharmacy use versus traditional "brick and mortar" pharmacies to refill prescriptions. METHODS: We conducted four 90-min focus groups in 2016 among 28 diabetes patients in the Hawaii and Northern California regions of Kaiser Permanente, a large integrated health care delivery system. We queried participants on their preferred mode for refilling prescriptions and perceived barriers and facilitators of mail order pharmacy use. One researcher independently coded each focus group transcript, with two of these transcripts double-coded by a second researcher to promote reliability. We employed thematic analysis guided by the Capability, Opportunity, Motivation, and Behavior (COM-B) framework using NVivo 11 software. RESULTS: A total of 28 diabetes patients participated. Participants' average age was 64.1 years; 57% were female; and racial/ethnic backgrounds included Asian/Native Hawaiian/Pacific Islander (36%), Black/African-American (21%) Hispanic/Latino (7%), and non-Hispanic White (36%). Analysis uncovered 26 themes related to the decision to use mail order pharmacy, with each theme representing a barrier or facilitator mapped to the COM-B framework. Most themes (20/26) fell into the COM-B category of 'Opportunity.' Opportunity barriers to mail order pharmacy use included unpredictability of medication delivery date, concerns about mail security, and difficulty coordinating refill orders for multiple prescriptions. In contrast, facilitators included greater access and convenience (e.g., no need to wait in line or arrange transportation) compared to traditional pharmacies. Motivational facilitators to mail order pharmacy use included receiving a pharmacy benefit plan incentive of a free one-month supply of prescriptions. CONCLUSIONS: This study found that while patients with diabetes may benefit from mail order pharmacy use, they perceive numerous barriers to using the service. These findings will inform the design of interventions and quality improvement initiatives to increase mail order pharmacy use, which in turn may improve medication adherence and outcomes in diabetes patients, across health care systems.

Fall Ascertainment and Development of a Risk Prediction Model Using Electronic Medical Records.

OBJECTIVES: To examine the use of electronic medical record (EMR) data to ascertain falls and develop a fall risk prediction model in an older population. DESIGN: Retrospective longitudinal study using 10 years of EMR data (2004-2014). A series of 3-year cohorts included members continuously enrolled for a minimum of 3 years, requiring 2 years pre-fall (no previous record of a fall) and a 1-year fall risk period. SETTING: Kaiser Permanente Hawaii, an ambulatory setting. PARTICIPANTS: A total of 57 678 adults, age 60 years and older. MEASUREMENTS: Initial EMR searches were guided by current literature and geriatricians to understand coding sources of falls as our outcome. Falls were captured by two coding sources: International Classification of Diseases, Ninth Revision (ICD-9) codes (E880-889) and/or a fall listed as a "primary reason for visit." A comprehensive list of EMR predictors of falls were included into prediction models enabling statistical subset selection from many variables and modeling by logistic regression. RESULTS: Although 72% of falls in the training data set were coded as "primary reason for visit," 22% of falls were coded as ICD-9 and 6% coded as both. About 80% were reported in face-to-face encounters (eg, emergency department). A total of 2164 individuals had a fall in the risk period. Using the 13 key predictors (age, comorbidities, female sex, other mental disorder, walking issues, Parkinson's disease, urinary incontinence, depression, polypharmacy, psychotropic and anticonvulsant medications, osteoarthritis, osteoporosis) identified through LASSO regression, the final model had a sensitivity of 67%, specificity of 69%, positive predictive value of 8%, negative predictive value of 98%, and area under the curve of .74. CONCLUSION: This study demonstrated how the EMR can be used to ascertain falls and develop a fall risk prediction model with moderate sensitivity/specificity. Concurrent work with clinical providers to enhance fall documentation will improve the ability of the EMR to capture falls and consequently may improve the model to predict fall risk.

Interdisciplinary team-based care for patients with chronic pain on long-term opioid treatment in primary care (PPACT) - Protocol for a pragmatic cluster randomized trial.

BACKGROUND: Chronic pain is one of the most common, disabling, and expensive public health problems in the United States. Interdisciplinary pain management treatments that employ behavioral approaches have been successful in helping patients with chronic pain reduce symptoms and regain functioning. However, most patients lack access to such treatments. We are conducting a pragmatic clinical trial to test the hypothesis that patients who receive an interdisciplinary biopsychosocial intervention, the Pain Program for Active Coping and Training (PPACT), at their primary care clinic will have a greater reduction in pain impact in the year following than patients receiving usual care. METHODS/DESIGN: This is an effectiveness-implementation hybrid pragmatic clinical trial in which we randomize clusters of primary care providers and their patients with chronic pain who are on long-term opioid therapy to 1) receive an interdisciplinary behavioral intervention in conjunction with their current health care or 2) continue with current health care services. Our primary outcome is pain impact (a composite of pain intensity and pain-related interference) measured using the PEG, a validated three-item assessment. Secondary outcomes include pain-related disability, patient satisfaction, opioids dispensed and health care utilization. An economic evaluation assesses the resources and costs necessary to deliver the intervention and its cost-effectiveness compared with usual care. A formative evaluation employs mixed methods to understand the context for implementation in the participating health care systems. DISCUSSION: This trial will inform the feasibility of implementing interdisciplinary behavioral approaches to pain management in the primary care setting, potentially providing a more effective, safer, and more satisfactory alternative to opioid-based chronic pain treatment. Clinical Trials Registration Number: NCT02113592.

Treatment Initiation for New Episodes of Depression in Primary Care Settings.

BACKGROUND: Depression is prevalent and costly, but despite effective treatments, is often untreated. Recent efforts to improve depression care have focused on primary care settings. Disparities in treatment initiation for depression have been reported, with fewer minority and older individuals starting treatment. OBJECTIVE: To describe patient characteristics associated with depression treatment initiation and treatment choice (antidepressant medications or psychotherapy) among patients newly diagnosed with depression in primary care settings. DESIGN: A retrospective observational design was used to analyze electronic health record data. PATIENTS: A total of 241,251 adults newly diagnosed with depression in primary care settings among five health care systems from 2010 to 2013. MAIN MEASURES: ICD-9 codes for depression, following a 365-day period with no depression diagnosis or treatment, were used to identify new depression episodes. Treatment initiation was defined as a completed psychotherapy visit or a filled prescription for antidepressant medication within 90 days of diagnosis. Depression severity was measured with Patient Health Questionnaire (PHQ-9) scores on the day of diagnosis. KEY RESULTS: Overall, 35.7% of patients with newly diagnosed depression initiated treatment. The odds of treatment initiation among Asians, non-Hispanic blacks, and Hispanics were at least 30% lower than among non-Hispanic whites, controlling for all other variables. The odds of patients aged ≥ 60 years starting treatment were half those of patients age 44 years and under. Treatment initiation increased with depression severity, but was only 53% among patients with a PHQ-9 score of ≥ 10. Among minority patients, psychotherapy was initiated significantly more often than medication. CONCLUSIONS: Screening for depression in primary care is a positive step towards improving detection, treatment, and outcomes for depression. However, study results indicate that treatment initiation remains suboptimal, and disparities persist. A better understanding of patient factors, and particularly system-level factors, that influence treatment initiation is needed to inform efforts by heath care systems to improve depression treatment engagement and to reduce disparities.

The Predictive Value of International Classification of Disease Codes for Chronic Hepatitis C Virus Infection Surveillance: The Utility and Limitations of Electronic Health Records.

Surveillance of chronic hepatitis C virus (HCV) cases faces limitations that result in delays and under-reporting. With increasing use of electronic health records (EHRs), the authors evaluated the predictive value of using International Classification of Diseases, Ninth Revision (ICD-9) codes to identify chronic HCV cases from EHR data. Longitudinal EHR data from 4 health care systems during 2006-2012 were evaluated. Using chart abstraction and review to confirm chronic HCV cases ("gold standard" definition), the authors calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 2 case definitions: (1) ≥2 ICD-9 codes separated by ≥6 months and (2) ≥1 positive HCV RNA (ribonucleic acid) test. Among 2,718,995 patients, 20,779 (0.8%) with ICD-9 codes indicating a likely diagnosis of chronic HCV infection were identified; 13,595 (65.4%) of these were randomly selected for review. Case definition 1 (≥2 ICD-9 codes separated by ≥6 months) had 70.3% sensitivity, 91.9% PPV, 99.9% specificity, and 99.9% NPV while case definition 2 (≥1 positive HCV RNA test) had 74.1% sensitivity, 97.4% PPV, 99.9% specificity, and 99.9% NPV. The predictive values of these alternate EHR-derived ICD-9 code-based case definitions suggest that these measures may be useful in capturing the burden of diagnosed chronic HCV infections. Their use can augment current chronic HCV case surveillance efforts; however, their accuracy may vary by length of observation and completeness of EHR data.

A Point System to Forecast Hepatocellular Carcinoma Risk Before and After Treatment Among Persons with Chronic Hepatitis C.

BACKGROUND: Risk of hepatocellular carcinoma (HCC) may be difficult to determine in the clinical setting. AIM: Develop a scoring system to forecast HCC risk among patients with chronic hepatitis C. METHODS: Using data from the Chronic Hepatitis Cohort Study collected during 2005-2014, we derived HCC risk scores for males and females using an extended Cox model with aspartate aminotransferase-to-platelet ratio index (APRI) as a time-dependent variables and mean Kaplan-Meier survival functions from patient data at two study sites, and used data collected at two separate sites for external validation. For model calibration, we used the Greenwood-Nam-D'Agostino goodness-of-fit statistic to examine differences between predicted and observed risk. RESULTS: Of 12,469 patients (1628 with a history of sustained viral response [SVR]), 504 developed HCC; median follow-up was 6 years. Final predictors in the model included age, alcohol abuse, interferon-based treatment response, and APRI. Point values, ranging from -3 to 14 (males) and -3 to 12 (females), were established using hazard ratios of the predictors aligned with 1-, 3-, and 5-year Kaplan-Meier survival probabilities of HCC. Discriminatory capacity was high (c-index 0.82 males and 0.84 females) and external calibration demonstrated no differences between predicted and observed HCC risk for 1-, 3-, and 5-year forecasts among males (all p values >0.97) and for 3- and 5-year risk among females (all p values >0.87). CONCLUSION: This scoring system, based on age, alcohol abuse history, treatment response, and APRI, can be used to forecast up to a 5-year risk of HCC among hepatitis C patients before and after SVR.

Comparison of ICD-9 Codes for Depression and Alcohol Misuse to Survey Instruments Suggests These Codes Should Be Used with Caution.

BACKGROUND: Research suggests depression and alcohol misuse are highly prevalent among chronic hepatitis C (CHC) patients, which is of clinical concern. AIMS: To compare ICD-9 codes for depression and alcohol misuse to validated survey instruments. METHODS: Among CHC patients, we assessed how well electronic ICD-9 codes for depression and alcohol misuse predicted these disorders using validated instruments. RESULTS: Of 4874 patients surveyed, 56% were male and 52% had a history of injection drug use. Based on the PHQ-8, the prevalence of depression was 30% compared to 14% based on ICD-9 codes within 12 months of survey, 37% from ICD-9 codes any time before or within 12 months after survey, and 48% from ICD-9 codes any time before or within 24 months after survey. ICD-9 codes predicting PHQ-8 depression had a sensitivity ranging from 59 to 88% and a specificity ranging from 33 to 65%. Based on the AUDIT-C, the prevalence of alcohol misuse was 21% compared to 3-23% using ICD-9 codes. The sensitivity of ICD-9 codes to predict AUDIT-C score ranged from 9 to 35% and specificity from 80 to 98%. Overall 39% of patients reported ever binge drinking, with a sensitivity of ICD-9 to predict binge drinking ranging from 7 to 33% and a specificity from 84 to 98%. More than half of patients had either an ICD-9 code for depression, a survey score indicating depression, or both (59%); more than one-third had the same patterns for alcohol misuse (36%). CONCLUSIONS: ICD-9 codes were limited in predicting current depression and alcohol misuse, suggesting that caution should be exercised when using ICD-9 codes to assess depression or alcohol misuse among CHC patients.

Mental illness in bariatric surgery: A cohort study from the PORTAL network.

OBJECTIVE: To compare bariatric surgery outcomes according to preoperative mental illness category. METHODS: Electronic health record data from several US healthcare systems were used to compare outcomes of four groups of patients who underwent bariatric surgery in 2012 and 2013. These included the following: people with (1) no mental illness, (2) mild-to-moderate depression or anxiety, (3) severe depression or anxiety, and (4) bipolar, psychosis, or schizophrenia spectrum disorders. Groups were compared on weight loss trajectory using generalized estimating equations using B-spline bases and on all-cause emergency department visits and hospital days using zero-inflated Poisson and negative binomial regression up to 2 years after surgery. Models were adjusted for demographic and health covariates, including baseline healthcare use. RESULTS: Among 8,192 patients, mean age was 44.3 (10.7) years, 79.9% were female, and 45.6% were white. Fifty-seven percent had preoperative mental illness. There were no differences between groups for weight loss, but patients with preoperative severe depression or anxiety or bipolar, psychosis, or schizophrenia spectrum disorders had higher follow-up levels of emergency department visits and hospital days compared to those with no mental illness. CONCLUSIONS: In this multicenter study, mental illness was not associated with differential weight loss after bariatric surgery, but additional research could focus on reducing acute care use among these patients.

Frequency of and Factors Associated with Receipt of Liver-Related Specialty Care Among Patients with Hepatitis C in the Chronic Hepatitis Cohort Study.

BACKGROUND: Linking persons with hepatitis C virus (HCV) to care and treatment is critical to reduction in disease burden; typically, this entailed referral to a specialist. However, data regarding the frequency and factors associated with referral among patients in healthcare organizations (HCOs) are lacking. METHODS: Among persons in four US HCOs with newly diagnosed HCV during 2006-2011, we determined the frequency of liver-related specialist care after diagnosis. We also identified sociodemographic and clinical characteristics associated with such care by multivariate analysis, adjusted for all variables. RESULTS: Among 3592 patients with newly diagnosed HCV, 57 % (range among sites 45-90 %) received specialist care; of these, 57 % received care within 90 days of diagnosis. Patient characteristics associated with receipt of specialist care included: affiliation with one of the study sites [adjusted odds ratio (aOR) 4.8 vs. the referent site); having Medicare plus private insurance (aOR 1.6 vs. Medicaid); and having elevated alanine aminotransferase (ALT) (aOR 1.6 vs. normal ALT) or lower platelet values (aOR 1.4 vs. normal platelet level). Specialist care within 90 days of diagnosis was associated with private insurance (aOR 1.5 vs. Medicaid), elevated ALT levels (aOR 1.3-2.3 vs. normal), and having ≥2 comorbid conditions (aOR 1.4 vs. no comorbid conditions). Compared to patients not referred, those referred were more likely to be treated (aOR 3.5). CONCLUSIONS: Receipt of specialist care among persons with newly diagnosed HCV varied among HCOs. Clinical evidence of liver disease and having private insurance were associated with prompt receipt of specialist care and HCV treatment.

Infrequent Clinical Assessment of Chronic Hepatitis B Patients in United States General Healthcare Settings.

Among 2338 chronic hepatitis B patients followed during 2006-2013 in the Chronic Hepatitis Cohort Study, 78% had ≥1 alanine aminotransferase and 37% had ≥1 hepatitis B virus DNA level assessed annually. Among cirrhotic patients, 46% never had hepatic imaging. Patients in this cohort were insufficiently monitored for disease activity and hepatocellular carcinoma.

Prevalence of Renal Impairment and Associated Conditions Among HCV-Infected Persons in the Chronic Hepatitis Cohort Study (CHeCS).

BACKGROUND: Guidelines for the treatment of HCV-infected persons were updated in August 2015 with new recommendations for patients with renal impairment. Treatment is imperative for patients with severe, renal-associated extrahepatic manifestations of HCV infection. AIMS: We sought to describe the prevalence of these conditions among current HCV-infected patients in a population-based prospective, observational cohort study at four large US health systems. METHODS: Data from cohort patients with chronic HCV infection during 2012 were analyzed for the period from 2006 to 2013. We determined the prevalence of mild to moderately impaired renal function defined as having the most recent estimated glomerular filtration rate [eGFR] ≤ 80 ml/min/1.73 m(2), with severe impairment defined as eGFR < 30 ml/min/1.73 m(2), based on the treatment guidelines. Prevalence of extrahepatic conditions was ascertained using ICD9-codes. RESULTS: Among 5772 persons, the prevalence of eGFR ≤ 80 was 33 % and eGFR < 30 was 2 %, including among patients with hepatic fibrosis. Diagnosed extrahepatic renal manifestations were rare: vasculitis- 0.2 %, nephrotic syndrome- 0.3 %, and cryoglobulinemia- 0.9 %. CONCLUSIONS: While the prevalence of severe renal impairment and diagnosed extrahepatic manifestations was low, mild-to-moderate renal impairment was common in HCV patients, including those with advanced liver fibrosis for whom the need for treatment is urgent.

Racial-Ethnic Differences in Psychiatric Diagnoses and Treatment Across 11 Health Care Systems in the Mental Health Research Network.

OBJECTIVE: The objective of this study was to characterize racial-ethnic variation in diagnoses and treatment of mental disorders in large not-for-profit health care systems. METHODS: Participating systems were 11 private, not-for-profit health care organizations constituting the Mental Health Research Network, with a combined 7,523,956 patients age 18 or older who received care during 2011. Rates of diagnoses, prescription of psychotropic medications, and total formal psychotherapy sessions received were obtained from insurance claims and electronic medical record databases across all health care settings. RESULTS: Of the 7.5 million patients in the study, 1.2 million (15.6%) received a psychiatric diagnosis in 2011. This varied significantly by race-ethnicity, with Native American/Alaskan Native patients having the highest rates of any diagnosis (20.6%) and Asians having the lowest rates (7.5%). Among patients with a psychiatric diagnosis, 73% (N=850,585) received a psychotropic medication. Non-Hispanic white patients were significantly more likely (77.8%) than other racial-ethnic groups (odds ratio [OR] range .48-.81) to receive medication. In contrast, only 34% of patients with a psychiatric diagnosis (N=548,837) received formal psychotherapy. Racial-ethnic differences were most pronounced for depression and schizophrenia; compared with whites, non-Hispanic blacks were more likely to receive formal psychotherapy for their depression (OR=1.20) or for their schizophrenia (OR=2.64). CONCLUSIONS: There were significant racial-ethnic differences in diagnosis and treatment of psychiatric conditions across 11 U.S. health care systems. Further study is needed to understand underlying causes of these observed differences and whether processes and outcomes of care are equitable across these diverse patient populations.

Hepatitis C treatment failure is associated with increased risk of hepatocellular carcinoma.

Sustained virological response (SVR) to antiviral therapy for hepatitis C (HCV) reduces risk of hepatocellular carcinoma (HCC), but there is little information regarding how treatment failure (TF) compares to lack of treatment. We evaluated the impact of treatment status on risk of HCC using data from the Chronic Hepatitis Cohort Study (CHeCS-an observational study based in four large US health systems, with up to 7 years of follow-up on patients). Multivariable analyses were used to adjust for bias in treatment selection, as well as other covariates, followed by sensitivity analyses. Among 10 091 HCV patients, 3681 (36%) received treatment, 2099 (57%) experienced treatment failure (TF), and 1582 (43%) of these achieved sustained virological response (SVR). TF patients demonstrated almost twice the risk of HCC than untreated patients [adjusted hazard ratio (aHR) = 1.95, 95% confidence interval (CI) 1.50-2.53]; this risk persisted across all stages of fibrosis. Several sensitivity analyses validated these results. Although African Americans were at increased risk of treatment failure, they were at lower risk for HCC and all-cause mortality compared to White patients. SVR patients had lower risk of HCC than TF patients (aHR = 0.48, CI 0.31-0.73), whereas treatment - regardless of outcome - reduced all-cause mortality (aHR = 0.45, CI 0.34-0.60 for SVR patients; aHR = 0.78, CI 0.65-0.93 for TF patients).