Sensitivity of an AIDS case-finding algorithm: who are we missing?

Characteristics and Trends in HIV Testing Among Medicaid Enrollees Diagnosed as Having Schizophrenia

OBJECTIVE

People with schizophrenia have more HIV risk factors and higher rates of HIV infection than the general U.S. population. The authors aimed to examine HIV testing patterns in this population nationally and by demographic characteristics and presence of high-risk comorbid conditions.

METHODS

This retrospective longitudinal study compared HIV testing between Medicaid-only enrollees with schizophrenia and without schizophrenia during 2002-2012 (N=6,849,351). Interrupted time series were used to analyze the impacts of the 2006 federal policy change recommending expanded HIV testing. Among enrollees with schizophrenia, multivariable logistic regression was used to estimate associations between testing and both demographic characteristics and comorbid conditions. Sensitivity analyses were also conducted.

RESULTS

Enrollees diagnosed as having schizophrenia had consistently higher HIV testing rates than those without schizophrenia. When those with comorbid substance use disorders or sexually transmitted infections were excluded, testing was higher for individuals without schizophrenia (p<0.001). The federal policy change likely increased testing for both groups (p<0.001), but the net change was greater for those without schizophrenia (3.1 vs. 2.2 percentage points). Among enrollees with schizophrenia, testing rates doubled during 2002-2012 (3.9% to 7.2%), varied across states (range 17 percentage points), and tripled for those with at least one annual nonpsychiatric medical visit (vs. no visit; adjusted OR=3.10, 95% CI=2.99-3.22).

CONCLUSIONS

Nationally, <10% of enrollees with schizophrenia had annual HIV testing. Increases appear to be driven by high-risk comorbid conditions and nonpsychiatric encounters, rather than by efforts to target people with schizophrenia. Psychiatric guidelines for schizophrenia care should consider HIV testing alongside annual metabolic screening.

Optimizing Identification of People Living with HIV from Electronic Medical Records: Computable Phenotype Development and Validation

BACKGROUND

Electronic health record (EHR)-based computable phenotype algorithms allow researchers to efficiently identify a large virtual cohort of Human Immunodeficiency Virus (HIV) patients. Built upon existing algorithms, we refined, improved, and validated an HIV phenotype algorithm using data from the OneFlorida Data Trust, a repository of linked claims data and EHRs from its clinical partners, which provide care to over 15 million patients across all 67 counties in Florida.

METHODS

Our computable phenotype examined information from multiple EHR domains, including clinical encounters with diagnoses, prescription medications, and laboratory tests. To identify an HIV case, the algorithm requires the patient to have at least one diagnostic code for HIV and meet one of the following criteria: have 1+ positive HIV laboratory, have been prescribed with HIV medications, or have 3+ visits with HIV diagnostic codes. The computable phenotype was validated against a subset of clinical notes.

RESULTS

Among the 15+ million patients from OneFlorida, we identified 61,313 patients with confirmed HIV diagnosis. Among them, 8.05% met all four inclusion criteria, 69.7% met the 3+ HIV encounters criteria in addition to having HIV diagnostic code, and 8.1% met all criteria except for having positive laboratories. Our algorithm achieved higher sensitivity (98.9%) and comparable specificity (97.6%) relative to existing algorithms (77-83% sensitivity, 86-100% specificity). The mean age of the sample was 42.7 years, 58% male, and about half were Black African American. Patients' average follow-up period (the time between the first and last encounter in the EHRs) was approximately 4.6 years. The median number of all encounters and HIV-related encounters were 79 and 21, respectively.

CONCLUSION

By leveraging EHR data from multiple clinical partners and domains, with a considerably diverse population, our algorithm allows more flexible criteria for identifying patients with incomplete laboratory test results and medication prescribing history compared with prior studies.

Documentation of Screening for Firearm Access by Healthcare Providers in the Veterans Healthcare System: A Retrospective Study

INTRODUCTION

Presence of a firearm is associated with increased risk of violence and suicide. United States military veterans are at disproportionate risk of suicide. Routine healthcare provider screening of firearm access may prompt counseling on safe storage and handling of firearms. The objective of this study was to determine the frequency with which Veterans Health Administration (VHA) healthcare providers document firearm access in electronic health record (EHR) clinical notes, and whether this varied by patient characteristics.

METHODS

The study sample is a post-9-11 cohort of veterans in their first year of VHA care, with at least one outpatient care visit between 2012-2017 (N = 762,953). Demographic data, veteran military service characteristics, and clinical comorbidities were obtained from VHA EHR. We extracted clinical notes for outpatient visits to primary, urgent, or emergency clinics (total 105,316,004). Natural language processing and machine learning (ML) approaches were used to identify documentation of firearm access. A taxonomy of firearm terms was identified and manually annotated with text anchored by these terms, and then trained the ML algorithm. The random-forest algorithm achieved 81.9% accuracy in identifying documentation of firearm access.

RESULTS

The proportion of patients with EHR-documented access to one or more firearms during their first year of care in the VHA was relatively low and varied by patient characteristics. Men had significantly higher documentation of firearms than women (9.8% vs 7.1%; P < .001) and veterans >50 years old had the lowest (6.5%). Among veterans with any firearm term present, only 24.4% were classified as positive for access to a firearm (24.7% of men and 20.9% of women).

CONCLUSION

Natural language processing can identify documentation of access to firearms in clinical notes with acceptable accuracy, but there is a need for investigation into facilitators and barriers for providers and veterans to improve a systemwide process of firearm access screening. Screening, regardless of race/ethnicity, gender, and age, provides additional opportunities to protect veterans from self-harm and violence.

Incident Musculoskeletal Conditions Among Men and Women Veterans Returning From Deployment

BACKGROUND

Military service confers an increased risk for musculoskeletal (MSK) injury among women and men Veterans.

OBJECTIVE

The objective of this study was to determine the prevalence of MSK conditions at first visit to Veterans Affairs (VA), and the incidence rates of new MSK conditions in women and men Veterans with and without a baseline MSK condition.

DESIGN

A cohort study including Veterans whose end of last deployment was between October 1, 2001 and October 1, 2015.

SUBJECTS

A total of 765,465 Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn Veterans.

MAIN OUTCOME MEASURES

Prevalent and incident MSK conditions identified through the International Classification of Diseases, ninth Revision, Clinical Modification diagnostic codes.

RESULTS

Twenty-six percent of women and 29% of men present to the VA with a MSK condition. In those without an MSK diagnosis at baseline, the unadjusted rate of developing at least 1 MSK condition was 168 and 180 per 1000 person-year [hazard ratio (HR)=0.94; 95% confidence interval (CI)=0.92-0.95] in women and men. Women were more likely to develop newly diagnosed MSK conditions of the hip (HR=1.9; 95% CI=1.83-1.98) or the ankle/foot (HR=1.17; 95% CI=1.15-1.20) and less likely to develop MSK conditions of the upper extremity (HR=0.75; 95% CI=0.73-0.78), knee (HR=0.87; 95% CI=0.86-0.89), and spine (HR=0.94; 95% CI=0.93-0.96). In those with prevalent MSK conditions at baseline, the rate of developing a second MSK condition was higher in women than men (151 and 133/1000 person-year; HR=1.13; 95% CI=1.11-1.15).

CONCLUSIONS

A high proportion of Veterans present to the VA with MSK conditions. Women are less likely to develop conditions related to the upper extremities, spine or knee, and more likely to have conditions of the hip or ankle/foot.

The architecture of co-morbidity networks of physical and mental health conditions in military veterans

Co-morbidity between medical and psychiatric conditions is commonly considered between individual pairs of conditions. However, an important alternative is to consider all conditions as part of a co-morbidity network, which encompasses all interactions between patients and a healthcare system. Analysis of co-morbidity networks could detect and quantify general tendencies not observed by smaller-scale studies. Here, we investigate the co-morbidity network derived from longitudinal healthcare records from approximately 1 million United States military veterans, a population disproportionately impacted by psychiatric morbidity and psychological trauma. Network analyses revealed marked and heterogenous patterns of co-morbidity, including a multi-scale community structure composed of groups of commonly co-morbid conditions. Psychiatric conditions including posttraumatic stress disorder were strong predictors of future medical morbidity. Neurological conditions and conditions associated with chronic pain were particularly highly co-morbid with psychiatric conditions. Across conditions, the degree of co-morbidity was positively associated with mortality. Co-morbidity was modified by biological sex and could be used to predict future diagnostic status, with out-of-sample prediction accuracy of 90-92%. Understanding complex patterns of disease co-morbidity has the potential to lead to improved designs of systems of care and the development of targeted interventions that consider the broader context of mental and physical health.

Validation of an Optimized Algorithm for Identifying Persons Living With Diagnosed HIV From New York State Medicaid Data, 2006-2014

Algorithms are regularly used to identify persons living with diagnosed human immunodeficiency virus (HIV) (PLWDH) in Medicaid data. To our knowledge, there are no published reports of an HIV algorithm from Medicaid claims codes that have been compared with an HIV surveillance system to assess its sensitivity, specificity, positive predictive value, and negative predictive value in identifying PLWDH. Therefore, our aims in this study were to 1) develop an algorithm that could identify PLWDH in New York State Medicaid data from 2006-2014 and 2) validate this algorithm using the New York State HIV surveillance system. Classification and regression tree analysis identified 16 nodes that we combined to create a case-finding algorithm with 5 criteria. This algorithm identified 86,930 presumed PLWDH, 88.0% of which were verified by matching to the surveillance system. The algorithm yielded a sensitivity of 94.5%, a specificity of 94.4%, a positive predictive value of 88.0%, and a negative predictive value of 97.6%. This validated algorithm has the potential to improve the utility of Medicaid data for assessing health outcomes and programmatic interventions.

Posttraumatic Stress Disorder and Risk for Early Incident Atrial Fibrillation: A Prospective Cohort Study of 1.1 Million Young Adults

Background Acute psychological stress and negative emotions are known risk factors for atrial fibrillation (AF). Whether exposure to chronic stress syndromes, such as posttraumatic stress disorder (PTSD), also increases susceptibility to AF is unknown. Methods and Results We prospectively assessed the incidence of AF over a 13-year period among 988 090 young and middle-aged veterans (mean age, 30.29±9.19 years; 87.8% men, 64.5% white) who first accessed care through the Veterans Health Administration from October 2001 to November 2014 and were free of AF, atrial flutter, or atrial tachycardia at baseline. Time-varying, multivariate Cox proportional hazard models were used to examine the independent contribution of PTSD to new AF. We also tested for effect modification by sex and controlled for healthcare use. During a mean follow-up of 4.8 years, 2491 patients were diagnosed with AF. Patients with PTSD had a higher overall incidence of AF (P<0.0001) and were more likely to develop AF at a younger age than those without PTSD (P=0.004). PTSD was significantly associated with incident AF in unadjusted models (hazard ratio, 1.31; 95% CI, 1.19-1.43) and models that adjusted for demographics, lifestyle factors, cardiovascular risk factors, and depression (hazard ratio, 1.13; 95% CI, 1.02-1.24). The interaction with sex was nonsignificant (P=0.93). Conclusions PTSD was associated increased risk for early incident AF after adjustment for established AF risk factors and depression in this cohort of young and middle-aged veterans. Findings from this study require validation in more diverse populations to determine their generalizability.

Dual Use of a Patient Portal and Clinical Video Telehealth by Veterans with Mental Health Diagnoses: Retrospective, Cross-Sectional Analysis

Background

Access to mental health care is challenging. The Veterans Health Administration (VHA) has been addressing these challenges through technological innovations including the implementation of Clinical Video Telehealth, two-way interactive and synchronous videoconferencing between a provider and a patient, and an electronic patient portal and personal health record, My HealtheVet.

Objective

This study aimed to describe early adoption and use of My HealtheVet and Clinical Video Telehealth among VHA users with mental health diagnoses.

Methods

We conducted a retrospective, cross-sectional analysis of early My HealtheVet adoption and Clinical Video Telehealth engagement among veterans with one or more mental health diagnoses who were VHA users from 2007 to 2012. We categorized veterans into four electronic health (eHealth) technology use groups: My HealtheVet only, Clinical Video Telehealth only, dual users who used both, and nonusers of either. We examined demographic characteristics and mental health diagnoses by group. We explored My HealtheVet feature use among My HealtheVet adopters. We then explored predictors of My HealtheVet adoption, Clinical Video Telehealth engagement, and dual use using multivariate logistic regression.

Results

Among 2.17 million veterans with one or more mental health diagnoses, 1.51% (32,723/2,171,325) were dual users, and 71.72% (1,557,218/2,171,325) were nonusers of both My HealtheVet and Clinical Video Telehealth. African American and Latino patients were significantly less likely to engage in Clinical Video Telehealth or use My HealtheVet compared with white patients. Low-income patients who met the criteria for free care were significantly less likely to be My HealtheVet or dual users than those who did not. The odds of Clinical Video Telehealth engagement and dual use decreased with increasing age. Women were more likely than men to be My HealtheVet or dual users but less likely than men to be Clinical Video Telehealth users. Patients with schizophrenia or schizoaffective disorder were significantly less likely to be My HealtheVet or dual users than those with other mental health diagnoses (odds ratio, OR 0.50, CI 0.47-0.53 and OR 0.75, CI 0.69-0.80, respectively). Dual users were younger (53.08 years, SD 13.7, vs 60.11 years, SD 15.83), more likely to be white, and less likely to be low-income than the overall cohort. Although rural patients had 17% lower odds of My HealtheVet adoption compared with urban patients (OR 0.83, 95% CI 0.80-0.87), they were substantially more likely than their urban counterparts to engage in Clinical Video Telehealth and dual use (OR 2.45, 95% CI 1.95-3.09 for Clinical Video Telehealth and OR 2.11, 95% CI 1.81-2.47 for dual use).

Conclusions

During this study (2007-2012), use of these technologies was low, leaving much potential for growth. There were sociodemographic disparities in access to My HealtheVet and Clinical Video Telehealth and in dual use of these technologies. There was also variation based on types of mental health diagnosis. More research is needed to ensure that these and other patient-facing eHealth technologies are accessible and effectively used by all vulnerable patients.

Posttraumatic stress disorder diagnosis and gender are associated with accelerated weight gain trajectories in veterans during the post-deployment period

BACKGROUND

Veterans are disproportionately affected by overweight/obesity and growing evidence suggests that post-deployment is a critical period of accelerated weight gain.

OBJECTIVE

We explored the relationship between posttraumatic stress disorder (PTSD) diagnosis, gender, and post-deployment weight trajectories among U.S. Operations Iraqi Freedom, Enduring Freedom, and New Dawn veterans.

DESIGN

We used Veterans Affairs electronic health record data from 248,089 veterans (87% men) who, after their last deployment, had at least one medical visit between October 2001 and January 2009 and more than one BMI recorded through September 2010. We analyzed repeated BMI measurements using linear mixed models, with demographics, PTSD and other relevant psychiatric diagnoses as predictors.

RESULTS

At the first recorded BMI, veterans' median age was 29, and 59% of women and 77% of men were overweight/obese. They had a median of 6 BMI measurements during a median follow-up of 2.4 years. Controlling for potential confounders, women with a PTSD diagnosis had a yearly BMI growth rate of 0.11 kg/m² (95% CI 0.09 to 0.13, p < 0.001) higher than women without PTSD. For men, the corresponding PTSD effect was also significant, but slightly lower: 0.07 kg/m² ((95% CI 0.05 to 0.09, p < 0.001); women-men difference: 0.03 (95% CI 0.01 to 0.06) kg/m², p = 0.006).

CONCLUSIONS

The post-deployment period is critical for weight gain, particularly for veterans diagnosed with PTSD and women veterans with PTSD. Efforts are needed to engage post-deployment veterans in weight management services, and to determine whether tailored recruitment/treatment interventions will reduce disparities for veterans with PTSD.

Incident Cardiovascular Risk Factors Among Men and Women Veterans After Return From Deployment

BACKGROUND

Stressors associated with military service and reintegration may impact psychologic well-being and behaviors that result in increased incidence rates for cardiovascular (CV) risk factors.

OBJECTIVE

Using electronic health record data from the Veterans Health Administration we sought to measure the incidence of newly diagnosed CV risk factors and how these incident risks were moderated by race and mental health conditions.

DESIGN

A cohort study including Veterans whose end of last deployment was between October 1, 2001 and July 31, 2014.

SUBJECTS

A total of 267,305 Operations Iraqi Freedom, Enduring Freedom, and New Dawn Veterans were present.

MAIN OUTCOME MEASURES

Incident risk factors (hypertension, obesity, dyslipidemia, diabetes, or coronary artery disease), identified through new International Classification of Diseases, 9th Revision, Clinical Modification diagnostic codes or measurement recordings at primary care visits.

RESULTS

The rate of developing at least 1 risk factor or coronary artery disease was 240 and 151 per 1000 person-years in men and women, respectively. Except for obesity, women were significantly less likely to develop any other CV risk factor compared with men (Crude hazard ratios ranging from 0.44 to 0.82). The impact of sex on hypertension (P<0.001) and obesity (P<0.001) was modified by race and the impact of sex on the combined event of any risk factor (P=0.007) and obesity (P<0.001) was modified by depression.

CONCLUSIONS

Compared with men, women Veterans were more likely to become obese after return from deployment, but less likely to develop any other risk . For black women, the protective effect of female sex on the combined event (any risk factor), and hypertension was lessened compared with white women. The increased risk of obesity for women was greater in black women, and those with depression.

Association Between Mental Health Burden and Coronary Artery Disease in U.S. Women Veterans Over 45: A National Cross-Sectional Study

BACKGROUND

The women Veteran population accessing Veterans Health Administration (VA) care has grown rapidly. Women Veterans exhibit high rates of mental health conditions that increase coronary artery disease (CAD) risk; however, the relationship between specific conditions and increasing mental health burden to CAD in this population is unknown.

MATERIALS AND METHODS

Using VA National Patient Care Data for 2009, we identified women Veterans over 45 (N = 157,195). Logistic regression models examined different mental health diagnoses and increasing mental health burden (number of diagnostic clusters) as predictors of CAD.

RESULTS

CAD prevalence was 4.16%, and 36% of women Veterans were current smokers. Depression exhibited the strongest association with CAD (odds ratio [OR] 1.60, 95% confidence interval [CI] [1.50-1.71]), similar to that of current smoking (OR 1.68 [1.58-1.78]). Controlling for demographic variables, smoking, diabetes, and obesity, each additional mental health diagnosis increased the odds of CAD by 44%.

CONCLUSIONS

Women Veterans over age 45 accessing VA care exhibited a high degree of mental health burden, which is associated with elevated odds of CAD; those with depression alone had 60% higher odds of CAD. For women Veterans using VA, mental health diagnoses may act as CAD risk factors that are potentially modifiable. Novel interventions in primary care and mental health are needed to address heart disease in this growing and aging population.

Risk for Incident Hypertension Associated With Posttraumatic Stress Disorder in Military Veterans and the Effect of Posttraumatic Stress Disorder Treatment

OBJECTIVE

Posttraumatic stress disorder (PTSD) increases cardiovascular disease and cardiovascular mortality risk. Neither the prospective relationship of PTSD to incident hypertension risk nor the effect of PTSD treatment on hypertension risk has been established.

METHODS

Data from a nationally representative sample of 194,319 veterans were drawn from the Veterans Administration (VA) roster of United States service men and women. This included veterans whose end of last deployment was from September 2001 to July 2010 and whose first VA medical visit was from October 1, 2001 to January 1, 2009. Incident hypertension was modeled as 3 events: (1) a new diagnosis of hypertension and/or (2) a new prescription for antihypertensive medication, and/or (3) a clinic blood pressure reading in the hypertensive range (≥140/90 mm Hg, systolic/diastolic). Posttraumatic stress disorder diagnosis was the main predictor. Posttraumatic stress disorder treatment was defined as (1) at least 8 individual psychotherapy sessions of 50 minutes or longer during any consecutive 6 months and/or (2) a prescription for selective serotonin reuptake inhibitor medication.

RESULTS

Over a median 2.4-year follow-up, the incident hypertension risk independently associated with PTSD ranged from hazard ratio (HR), 1.12 (95% confidence interval [CI], 1.08-1.17; p < .0001) to HR, 1.30 (95% CI, 1.26-1.34; p < .0001). The interaction of PTSD and treatment revealed that treatment reduced the PTSD-associated hypertension risk (e.g., from HR, 1.44 [95% CI, 1.38-1.50; p < .0001] for those untreated, to HR, 1.20 [95% CI, 1.15-1.25; p < .0001] for those treated).

CONCLUSIONS

These results indicate that reducing the long-term health impact of PTSD and the associated costs may require very early surveillance and treatment.

Validity of Primary Immunodeficiency Disease Diagnoses in United States Medicaid Data

PURPOSE

Primary immunodeficiency diseases (PID) are a rare group of disorders with a wide array of clinical presentations. The absence of validated methods to identify these diseases in electronic databases has limited understanding of their epidemiology and the impact of drug therapies on outcomes. We measured the positive predictive values (PPVs) of ICD-9 diagnoses for identifying PID within US Medicaid.

METHODS

We identified Medicaid patients from California, Florida, New York, Ohio, and Pennsylvania with PID ICD-9 diagnoses (common variable immunodeficiency [279.06], X-linked agammaglobulinemia [279.04], hyper-immunoglobulin M syndrome [279.05], Wiskott Aldrich Syndrome [279.12]) recorded at least twice from 1999 to 2007. Outpatient records were reviewed by a clinical immunologist to adjudicate diagnoses. PPVs with 95% confidence intervals (CIs) for confirmed outcomes were determined for individual ICD-9 diagnoses and combinations of diagnoses and Current Procedural Terminology codes for a quantitative immunoglobulin test (82784) or immunoglobulin infusion (96365).

RESULTS

Among 83 patients with PID ICD-9 diagnoses, 16 were adjudicated as having the condition (PPV, 19.3%; 95% CI, 11.4-29.4%). Individual ICD-9 diagnoses had low PPVs (range, 16.7-33.3%). Requiring procedural codes for quantitative immunoglobulins or intravenous immunoglobulin did not increase PPVs of these diagnoses (range, 11.1-41.7%). An X-linked agammaglobulinemia diagnosis plus intravenous immunoglobulin had the highest PPV among the algorithms evaluated (PPV, 41.7%; 95% CI, 15.1-72.3%).

CONCLUSIONS

Algorithms comprising PID ICD-9 diagnoses and procedures for quantitative immunoglobulin tests and immunoglobulin infusion had low PPVs for adjudicated diagnoses in Medicaid. Alternative data sources should be evaluated to study the epidemiology of these diseases.

STI diagnosis and HIV testing among OEF/OIF/OND veterans

IMPORTANCE

Patients with sexually transmitted infection (STI) diagnosis should be tested for human immunodeficiency virus (HIV), regardless of previous HIV test results.

OBJECTIVE

Estimate HIV testing rates among recent service Veterans with an STI diagnosis and variation in testing rates by patient characteristics.

DESIGN, SETTING, AND PARTICIPANTS

The sample comprised 243,843 Veterans who initiated Veterans Health Administration (VHA) services within 1 year after military separation. Participants were followed for 2 years to determine STI diagnoses and HIV testing rates. We used relative risks regression to examine variation in testing rates.

MAIN OUTCOMES AND MEASURES

We used VHA administrative data to identify STI diagnoses and HIV testing and results.

RESULTS

Veterans with an STI diagnosis (n = 1815) had higher HIV testing rates than those without (34.9% vs. 7.3%, P<0.0001), but were not more likely to have a positive test result (1.1% vs. 1.4%, P = 0.53). Among Veterans with an STI diagnosis, testing increased from 25% to 45% over the observation period; older age was associated with a lower rate of testing, whereas race and ethnicity, multiple deployments, posttraumatic stress disorder, and substance abuse disorders were associated with a higher rate.

CONCLUSIONS AND RELEVANCE

Since VHA implemented routine HIV testing, overall rates of testing have increased. However, among Veterans at significant risk for HIV because of an STI diagnosis, only 45% had an HIV test in the most recent year of observation. Other patient characteristics such as alcohol and drug abuse were associated with being tested for HIV. Providers should be reminded that an STI is a sufficient reason to test for HIV.

Personal health record reach in the Veterans Health Administration: a cross-sectional analysis

BACKGROUND

My HealtheVet (MHV) is the personal health record and patient portal developed by the United States Veterans Health Administration (VA). While millions of American veterans have registered for MHV, little is known about how a patient's health status may affect adoption and use of the personal health record.

OBJECTIVE

Our aim was to characterize the reach of the VA personal health record by clinical condition.

METHODS

This was a cross-sectional analysis of all veterans nationwide with at least one inpatient admission or two outpatient visits between April 2010 and March 2012. We compared adoption (registration, authentication, opt-in to use secure messaging) and use (prescription refill and secure messaging) of MHV in April 2012 across 18 specific clinical conditions prevalent in and of high priority to the VA. We calculated predicted probabilities of adoption by condition using multivariable logistic regression models adjusting for sociodemographics, comorbidities, and clustering of patients within facilities.

RESULTS

Among 6,012,875 veterans, 6.20% were women, 61.45% were Caucasian, and 26.31% resided in rural areas. The mean age was 63.3 years. Nationwide, 18.64% had registered for MHV, 11.06% refilled prescriptions via MHV, and 1.91% used secure messaging with their clinical providers. Results from the multivariable regression suggest that patients with HIV, hyperlipidemia, and spinal cord injury had the highest predicted probabilities of adoption, whereas those with schizophrenia/schizoaffective disorder, alcohol or drug abuse, and stroke had the lowest. Variation was observed across diagnoses in actual (unadjusted) adoption and use, with registration rates ranging from 29.19% of patients with traumatic brain injury to 14.18% of those with schizophrenia/schizoaffective disorder. Some of the variation in actual reach can be explained by facility-level differences in MHV adoption and by differences in patients' sociodemographic characteristics (eg, age, race, income) by diagnosis.

CONCLUSIONS

In this phase of early adoption, opportunities are being missed for those with specific medical conditions that require intensive treatment and self-management, which could be greatly supported by functions of a tethered personal health record.

Innovative quality-assurance strategies for tuberculosis surveillance in the United States

Introduction. The Centers for Disease Control and Prevention (CDC)'s National Tuberculosis Surveillance System (NTSS) is the national repository of tuberculosis (TB) data in the United States. Jurisdictions report to NTSS through the Report of Verified Case of Tuberculosis (RVCT) form that transitioned to a web-based system in 2009. Materials and Methods. To improve RVCT data quality, CDC conducted a quality assurance (QA) needs assessment to develop QA strategies. These include QA components (case detection, data accuracy, completeness, timeliness, data security, and confidentiality); sample tools such as National TB Indicators Project (NTIP) to identify TB case reporting discrepancies; comprehensive training course; resource guide and toolkit. Results and Discussion. During July–September 2011, 73 staff from 34 (57%) of 60 reporting jurisdictions participated in QA training. Participants stated usefulness of sharing jurisdictions' QA methods; 66 (93%) wrote that the QA tools will be effective for their activities. Several jurisdictions reported implementation of QA tools pertinent to their programs. Data showed >8% increase in NTSS and NTIP enrollment through Secure Access Management Services, which monitors system usage, from August 2011–February 2012. Conclusions. Despite challenges imposed by web-based surveillance systems, QA strategies can be developed with innovation and collaboration. These strategies can also be used by other disease programs to ensure high data quality.

Use of Medicaid data to explore community characteristics associated with HIV prevalence among beneficiaries with schizophrenia

OBJECTIVES

People with severe mental illness (SMI) may be at increased risk for several adverse health conditions, including HIV/AIDS. This disproportionate disease burden has been studied primarily at the individual rather than community level, in part due to the rarity of data sources linking individual information on medical and mental health characteristics with community-level data. We demonstrated the potential of Medicaid data to address this gap.

METHODS

We analyzed data on Medicaid beneficiaries with schizophrenia from eight states that account for 66% of cumulative AIDS cases nationally.

RESULTS

Across 44 metropolitan statistical areas (MSAs), the treated prevalence of HIV among adult Medicaid beneficiaries diagnosed with schizophrenia was 1.56% (standard deviation = 1.31%). To explore possible causes of variation, we linked claims files with a range of MSA social and contextual variables including local AIDS prevalence rates, area-based economic measures, crime rates, substance abuse treatment resources, and estimates of injection drug users (IDUs) and HIV infection among IDUs, which strongly predicted community infection rates among people with schizophrenia.

CONCLUSIONS

Effective strategies for HIV prevention among people with SMI may include targeting prevention efforts to areas where risk is greatest; examining social network links between IDU and SMI groups; and implementing harm reduction, drug treatment, and other interventions to reduce HIV spread among IDUs. Our findings also suggest the need for research on HIV among people with SMI that examines geographical variation and demonstrates the potential use of health-care claims data to provide epidemiologic insights into small-area variations and trends in physical health among those with SMI.

Antidepressant treatment and adherence to antiretroviral medications among privately insured persons with HIV/AIDS

In order to examine relationships between depression treatments (antidepressant and/or psychotherapy utilization) and adherence to antiretroviral therapy (ART), we conducted a retrospective analysis of medical and pharmacy insurance claims for privately insured persons living with HIV/AIDS (PLWHA) diagnosed with depression (n = 1,150). Participants were enrolled in 80 insurance plans from all 50 states. Adherence was suboptimal. Depression treatment initiators were significantly more likely to be adherent to ART than the untreated. We did not observe an association between psychotherapy utilization and ART adherence, yet given the limitations of the data (e.g., there is no information on types of psychological treatment and its targets), the lack of association should not be interpreted as lack of efficacy.

Validation of case-finding algorithms derived from administrative data for identifying adults living with human immunodeficiency virus infection

Objective

We sought to validate a case-finding algorithm for human immunodeficiency virus (HIV) infection using administrative health databases in Ontario, Canada.

Methods

We constructed 48 case-finding algorithms using combinations of physician billing claims, hospital and emergency room separations and prescription drug claims. We determined the test characteristics of each algorithm over various time frames for identifying HIV infection, using data abstracted from the charts of 2,040 randomly selected patients receiving care at two medical practices in Toronto, Ontario as the reference standard.

Results

With the exception of algorithms using only a single physician claim, the specificity of all algorithms exceeded 99%. An algorithm consisting of three physician claims over a three year period had a sensitivity and specificity of 96.2% (95% CI 95.2%–97.9%) and 99.6% (95% CI 99.1%–99.8%), respectively. Application of the algorithm to the province of Ontario identified 12,179 HIV-infected patients in care for the period spanning April 1, 2007 to March 31, 2009.

Conclusions

Case-finding algorithms generated from administrative data can accurately identify adults living with HIV. A relatively simple “3 claims in 3 years” definition can be used for assembling a population-based cohort and facilitating future research examining trends in health service use and outcomes among HIV-infected adults in Ontario.

Validity of diagnostic codes and liver-related laboratory abnormalities to identify hepatic decompensation events in the Veterans Aging Cohort Study

PURPOSE

The absence of validated methods to identify hepatic decompensation in cohort studies has prevented a full understanding of the natural history of chronic liver diseases and impact of medications on this outcome. We determined the ability of diagnostic codes and liver-related laboratory abnormalities to identify hepatic decompensation events within the Veterans Aging Cohort Study (VACS).

METHODS

Medical records of patients with hepatic decompensation codes and/or laboratory abnormalities of liver dysfunction (total bilirubin ≥ 5.0 g/dL, albumin ≤ 2.0 g/dL, INR ≥ 1.7) recorded 1 year before through 6 months after VACS entry were reviewed to identify decompensation events (i.e., ascites, spontaneous bacterial peritonitis, variceal hemorrhage, hepatic encephalopathy, hepatocellular carcinoma) at VACS enrollment. Positive predictive values (PPVs) of diagnostic codes, laboratory abnormalities, and their combinations for confirmed outcomes were determined.

RESULTS

Among 137 patients with a hepatic decompensation code and 197 with a laboratory abnormality, the diagnosis was confirmed in 57 (PPV, 42%; 95%CI, 33%-50%) and 56 (PPV, 28%; 95%CI, 22%-35%) patients, respectively. The combination of any code plus laboratory abnormality increased PPV (64%; 95%CI, 47%-79%). One inpatient or ≥2 outpatient diagnostic codes for ascites, spontaneous bacterial peritonitis, or variceal hemorrhage had high PPV (91%; 95%CI, 77%-98%) for confirmed hepatic decompensation events.

CONCLUSION

An algorithm of 1 inpatient or ≥ 2 outpatient codes for ascites, peritonitis, or variceal hemorrhage has sufficiently high PPV for hepatic decompensation to enable its use for epidemiologic research in VACS. This algorithm may be applicable to other cohorts.

The burden of illness in the first year home: do male and female VA users differ in health conditions and healthcare utilization

BACKGROUND

we sought to describe gender differences in medical and mental health conditions and health care utilization among veterans who used Veterans Health Administration (VA) services in the first year after combat in Iraq and Afghanistan.

METHODS

this is an observational study, using VA administrative and clinical data bases, of 163,812 Operation Enduring Freedom/Operation Iraqi Freedom veterans who had enrolled in VA and who had at least one visit within 1 year of last deployment.

RESULTS

female veterans were slightly younger (mean age, 30 years vs. 32 for men; p <.0001), twice as likely to be African American (30% vs. 15%; p <.0001), and less likely to be married (32% vs. 49%; p < .0001). Women had more visits to primary care (2.6 vs. 2.0; p < .001) and mental health (4.0 vs. 3.6; p < .001) clinics and higher use of community care outside the VA (14% vs. 10%; p < .001). After adjustment for significant demographic differences, women were more likely to have musculoskeletal and skin disorders, mild depression, major depression, and adjustment disorders, whereas men were more likely to have ear disorders and posttraumatic stress disorder. Thirteen percent of women sought care for gynecologic examination, 10% for contraceptive counseling, and 7% for menstrual disorders.

CONCLUSION

female veterans had similar rates of physical conditions, but higher rates of some mental health disorders and additionally, used the VA for reproductive health needs. They also had slightly greater rates of health care service use. These findings highlight the complexity of female Veteran health care and support the development of enhanced comprehensive women's health services within the VA.

Pregnancy and mental health among women veterans returning from Iraq and Afghanistan

BACKGROUND

Veterans of Operations Enduring Freedom and Iraqi Freedom (OEF/OIF) may experience significant stress during military service that can have lingering effects. Little is known about mental health problems or treatment among pregnant OEF/OIF women veterans. The aim of this study was to determine the prevalence of mental health problems among veterans who received pregnancy-related care in the Veterans Health Administration (VHA) system.

METHODS

Data from the Defense Manpower Data Center (DMDC) deployment roster of military discharges from October 1, 2001, through April 30, 2008, were used to assemble an administrative cohort of female OEF/OIF veterans enrolled in care at the VHA (n = 43,078). Pregnancy and mental health conditions were quantified according to ICD-9-CM codes and specifications. Mental healthcare use and prenatal care were assessed by analyzing VHA stop codes.

RESULTS

During the study period, 2966 (7%) women received at least one episode of pregnancy-related care, and 32% of veterans with a pregnancy and 21% without a pregnancy received one or more mental health diagnoses (p < 0.0001). Veterans with a pregnancy were twice as likely to have a diagnosis of depression, anxiety, posttraumatic stress disorder (PTSD), bipolar disorder, or schizophrenia as those without a pregnancy.

CONCLUSIONS

Women OEF/OIF veterans commonly experience mental health problems after military service. The burden of mental health conditions is higher among women with an identified instance of pregnancy than among those without. Because women do not receive pregnancy care at the VHA, however, little is known about ongoing concomitant prenatal and mental healthcare or about pregnancy outcomes among these women veterans.

Prevalence of diagnosed HIV disease among medicaid beneficiaries with schizophrenia in U.S. metropolitan areas

Numerous reports suggest HIV may be elevated among those with severe mental illnesses such as schizophrenia or bipolar illness, but this has been studied in only a limited number of sites. Medicaid claim's files from 2002 to 2003 were examined for metropolitan statistical areas (MSAs) in 8 states, focusing on schizophrenia. Across 102 MSAs, 1.81% of beneficiaries with schizophrenia had received diagnoses of HIV/AIDS. MSA rates ranged widely, from 5.2% in Newark, NJ, to no cases in 16 of the MSAs.

Pain among Veterans of Operations Enduring Freedom and Iraqi Freedom: do women and men differ?

OBJECTIVE

To evaluate sex differences in the prevalence of overall pain, moderate-severe pain, and persistent pain among Veterans of Operations Enduring Freedom and Iraqi Freedom seen at VA outpatient clinics, and to evaluate sex differences in pain assessment.

DESIGN

The observational cohort consisted of Veterans discharged from the U.S. military from October 1, 2001 to November 30, 2007 that enrolled for Veterans Administration (VA) services or received VA care before January 1, 2008. We limited the sample to the 153,212 Veterans (18,481 female, 134,731 male) who had 1 year of observation after their last deployment.

RESULTS

Pain was assessed in 59.7% (n = 91,414) of Veterans in this sample. Among those assessed, 43.3% (n = 39,591) reported any pain, 63.2% (n = 25,028) of whom reported moderate-severe pain. Over 20% (n = 3,427) of Veterans with repeated pain measures reported persistent pain. We found no significant difference in the probability of pain assessment by sex (RR = 0.98, 95% CI 0.96, 1.00). Female Veterans were less likely to report any pain (RR 0.89, 95% CI 0.86, 0.92). Among those with any pain, female Veterans were more likely to report moderate-severe pain (RR 1.05, 95% CI 1.01, 1.09) and less likely to report persistent pain (RR 0.90, 95% CI 0.81, 0.99).

CONCLUSIONS

As the VA plans care for the increasing numbers of female Veterans returning from Iraq and Afghanistan, a better understanding of the prevalence of pain, as well as sex-specific variations in the experience and treatment of pain, is important for policy makers and providers who seek to improve identification and management of diverse pain disorders.

Racial, gender and geographic disparities of antiretroviral treatment among US Medicaid enrolees in 1998

BACKGROUND

In 1998, highly active antiretroviral therapy (HAART) was widespread, but the diffusion of these life-saving treatments was not uniform. As half of all AIDS patients in the USA have Medicaid coverage, this study of a multistate Medicaid claims dataset was undertaken to assess disparities in the rates of HAART.

METHODS

Data came from 1998 Medicaid claims files from five states with varying HIV prevalence. ICD-9 codes were used to identify people with a diagnosis of HIV/AIDS or AIDS-defining illness. Multivariate analyses assessed associations between age, gender, race and state of residence for antiretroviral regimens consistent with HAART, as defined by 1998 Centers for Disease Control and Prevention (CDC) guidelines.

RESULTS

Among 7202 Medicaid enrolees with a diagnosis of HIV/AIDS or AIDS, 62% received HAART and 25% received no antiretroviral therapy. Multivariate analyses showed that age, race, gender and state were all significant predictors of receiving HAART: white, non-Hispanic patients were most likely to receive HAART (68.3%), with lower rates in Hispanic and black, non-Hispanic segments of the population (59.3% and 57.5%, respectively, p<0.001). Women were less likely to receive HAART than men (51.8% vs 69.3%, p<0.001).

CONCLUSION

Despite similar insurance coverage and drug benefits, life-saving treatments for HIV/AIDS diffused at widely varying rates in different segments of the Medicaid population. Research is needed to determine the extent to which racial, gender, interstate and region disparities currently correspond to barriers to such care.

Studying prescription drug use and outcomes with medicaid claims data: strengths, limitations, and strategies

Medicaid claims and eligibility data, particularly when linked to other sources of patient-level and contextual information, represent a powerful and under-used resource for health services research on the use and outcomes of prescription drugs. However, their effective use poses many methodological and inferential challenges. This article reviews strengths, limitations, challenges, and recommended strategies in using Medicaid data for research on the initiation, continuation, and outcomes of prescription drug therapies. Drawing from published research using Medicaid data by the investigators and other groups, we review several key validity and methodological issues. We discuss strategies for claims-based identification of diagnostic subgroups and procedures, measuring and modeling initiation and persistence of regimens, analysis of treatment disparities, and examination of comorbidity patterns. Based on this review, we discuss "best practices" for appropriate data use and validity checking, approaches to statistical modeling of longitudinal patterns in the presence of typical challenges, and strategies for strengthening the power and potential of Medicaid datasets. Finally, we discuss policy implications, including the potential for the research use of Medicare Part D data and the need for further initiatives to systematically develop and optimally use research datasets that link Medicaid and other sources of clinical and outcome information.

Multiple sclerosis in Latter Day Saints (Mormons)

BACKGROUND

Compliant members of the Church of Jesus Christ of Latter Day Saints (LDS, Mormons) have a low incidence of heart and lung disease that may relate to their healthy life style. We wished to determine whether multiple sclerosis (MS) was less frequent in this religious body.

METHODS

To ascertain this, diagnostic and treatment coding records were accessed from the Deseret Mutual Benefit Administrators (DMBA) for the 6 year period 1997-2002. DMBA is a medical insurance company that provides medical insurance to all employees of LDS Church in the US. This information was combined with prescribing records for disease modifying treatment, principally beta-interferon and Copaxone which are medications specific to MS.

RESULTS

Using various search strategies we derived an approximate MS prevalence of 45-64/100,000.

CONCLUSION

Comparison with MS rates from Utah and other states of comparable latitude suggest that strict LDS have an MS prevalence that is lower than expected and may reflect their healthy life style.

Hepatocellular Carcinoma and Non-Hodgkin's Lymphoma: The Roles of HIV, Hepatitis C Infection, and Alcohol Abuse

Purpose

To explore the relationship of HIV, hepatitis C (HCV), and alcohol abuse/dependence to risk for hepatocellular carcinoma and non-Hodgkin's lymphoma (NHL).

Patients and Methods

Male veterans (n = 14,018) with a first HIV diagnosis in the Veterans Affairs Healthcare System from October 1997 to September 2004; and 28,036 age-, race-, sex-, and location-matched HIV-negative veterans were identified. We examined the incidence of hepatocellular carcinoma and NHL and presence of HCV and alcohol abuse/dependence using International Classification of Diseases, ninth revision (ICD-9-CM) codes. HIV-positive to HIV-negative incident rate ratios (IRRs) and 95% CIs for the occurrence of hepatocellular carcinoma and NHL were calculated using Poisson regression models.

Results

HIV-positive veterans were at greater risk for hepatocellular carcinoma than HIV-negative veterans (IRR = 1.68; 95% CI, 1.02 to 2.77). After adjusting for HCV infection and alcohol abuse/dependence, HIV status was not independently associated with hepatocellular cancer (IRR = 0.96; 95% CI, 0.56 to 1.63). HIV-positive veterans had 9.71 times (95% CI, 6.99 to 13.49) greater risk of NHL than HIV-negative veterans. After adjusting for HCV and alcohol abuse/dependence, the IRR for NHL comparing HIV-positive with HIV-negative veterans is similar (IRR = 10.03, 95% CI, 7.19 to 13.97).

Conclusion

HIV-positive veterans have a higher relative incidence of hepatocellular carcinoma and NHL than HIV-negative veterans. For hepatocellular carcinoma, this association appears to be largely explained by the higher prevalence of HCV and alcohol abuse/dependence. Efforts to decrease hepatocellular carcinoma among persons with HIV should focus primarily on detecting and treating HCV and reducing heavy alcohol use.

Development and verification of a "virtual" cohort using the National VA Health Information System

BACKGROUND

The VA's integrated electronic medical record makes it possible to create a "virtual" cohort of veterans with and without HIV infection to monitor trends in utilization, toxicity, and outcomes.

OBJECTIVES

We sought to develop a virtual cohort of HIV-infected veterans by adapting an existing algorithm, verifying this algorithm against independent clinical data, and finally identifying demographically-similar HIV-uninfected comparators.

RESEARCH DESIGN

Subjects were identified from VA administrative data in fiscal years 1998-2003 using a modified existing algorithm, then linked with Immunology Case Registry (ICR, the VA's HIV registry) and Pharmacy Benefits Management (centralized database of outpatient prescriptions) to verify accuracy of identification. The algorithm was modified to maximize positive predictive value (PPV) against ICR. Finally, 2 HIV-uninfected comparators were matched to each HIV-infected subject.

RESULTS

Using a single HIV code, 30,564 subjects were identified (positive predictive value 69%). Modification to require >1 outpatient or 1 inpatient code improved the positive predictive value to 88%. The lack of confirmatory laboratory and pharmacy data for the majority of subjects with a single outpatient code also supported this change. Of subjects identified with the modified algorithm, 89% had confirmatory evidence. When the modified algorithm was applied to fiscal years 1997-2004, 33,420 HIV-infected subjects were identified. Two HIV-uninfected comparators were matched to each subject for an overall cohort sample of 100,260.

CONCLUSIONS

In the HAART era, HIV-related codes are sufficient for identifying HIV-infected subjects from administrative data when patients with a single outpatient code are excluded. A large cohort of HIV-infected subjects and matched comparators can be identified from existing VA administrative datasets.

Psychological Research With Administrative Data Sets: An Underutilized Strategy for Mental Health Services Research

A key element in the identity of professional psychologists is their commitment to base practice on the best knowledge available about a problem being tackled. Although administrative data (e.g., records of provider billing and procedures) can often shed light on the dark areas of the complex U.S. health care system, psychologists make notably little use of them. Experience teaches that decisions must often be made despite the absence of "gold standard" knowledge from the well-designed, controlled studies learned in graduate school. Increased involvement of psychologists in work using administrative data can improve service provision but requires that psychologists adopt unaccustomed approaches to research. The authors discuss administrative data's strengths and limitations, recent progress made in using them, how psychologists can acquire and use low-cost information from administrative data, and examples of questions that can be answered.