Expanded HIV testing in the US Department of Veterans Affairs, 2009-2011

Innovation and implementation determinants of HIV testing and linkage-to-care in the U.S.: a systematic review

OBJECTIVE

To identify innovation and implementation determinants of HIV testing, diagnosis, and linkage-to-care in the U.S.

DATA SOURCES AND STUDY SETTING

Between November 2020 and January 2022, a broad search strategy was employed in three literature databases: Ovid MEDLINE, PsycINFO, and Web of Science.

STUDY DESIGN

A systematic review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement.

DATA COLLECTION/EXTRACTION METHODS

A team of master's and Ph.D.-level researchers screened eligible studies against the inclusion criteria and extracted the data using COVIDENCE software in pairs with consensus performed by a senior member of the team. Barriers and facilitators were extracted and analyzed according to the Consolidated Framework for Implementation Research (CFIR). Frequency of determinants across studies was mapped according to CFIR, valence, study design, delivery setting, unit of analysis, population of interest, region of the U.S., and year.

RESULTS

We identified 1,739 implementation and innovation determinants from 186 articles. Most determinants were for HIV testing rather than linkage-to-care. Most determinants were identified in the inner setting and individuals domains of CFIR, with the fewest identified in the process and innovations domains. Determinants of providers were only slightly more frequently identified than determinants of recipients. However, determinants of organizations and systems were rarely identified.

CONCLUSION

This review provides a synthesis of innovation and implementation determinants of HIV testing and linkage-to-care using the most-cited implementation science (IS) framework, CFIR. This synthesis enables the larger field of HIV science to utilize IS in efforts to end the HIV epidemic and positions IS to consider the application of IS frameworks to fields like HIV.

Screening for Military Sexual Trauma Is Associated With Improved HIV Screening in Women Veterans

OBJECTIVE

To examine factors associated with HIV screening among women veterans receiving health care in the Department of Veterans Affairs.

MATERIALS AND METHODS

Cross-sectional study of women veterans receiving Veterans Affairs care between 2001 and 2014 derived from the Women Veteran's Cohort Study. Descriptive and bivariate statistics were calculated comparing patients with and without an HIV screen. Generalized estimating equations were conducted to estimate the odds of HIV screening among women screened for military sexual trauma (MST) and the subset with a positive MST screen. Multivariable analyses were adjusted for demographic characteristics, mental health diagnoses, pregnancy, HIV risk factors, and facility level clustering.

RESULTS

Among the 113,796 women veterans in the sample, 84.3% were screened for MST and 13.2% were screened for HIV. Women screened for MST were over twice as likely to be tested for HIV (odds ratio, 2.8; 95% confidence interval, 2.2-3.5). A history of MST was inversely associated with HIV screening (odds ratio, 0.9; 95% confidence interval, 0.8-0.9).

CONCLUSIONS

Women veterans screened for sexual trauma received more comprehensive preventive health care in the form of increased HIV screening.

Physical health characteristics of student service members and veterans by sexual orientation

Objective: Little is known about the health status of the diverse population of student service members and veterans (SSM/V) enrolling in higher education in great numbers. The objective of this study was to explore the differences in physical health characteristics by sexual orientation among a national sample of SSM/V. Methods: Using secondary data, a series of maximum likelihood (ML) logistic regression models were estimated to explore physical health characteristics by sexual orientation in a sample of SSM/V. Results: SSM/V that identify as lesbian or gay reported higher rates of treatment and diagnosis for some physical health matters (respiratory illness and HIV) when compared with their heterosexual counterparts. Conclusions: Our findings support the need for campus health officials and policymakers to develop services to address the physical health needs of this population that differ from their peers.

An Evidence Map of the Women Veterans' Health Research Literature (2008-2015)

BACKGROUND

Women comprise a growing proportion of Veterans seeking care at Veterans Affairs (VA) healthcare facilities. VA initiatives have accelerated changes in services for female Veterans, yet the corresponding literature has not been systematically reviewed since 2008. In 2015, VA Women's Health Services and the VA Women's Health Research Network requested an updated literature review to facilitate policy and research planning.

METHODS

The Minneapolis VA Evidence-based Synthesis Program performed a systematic search of research related to female Veterans' health published from 2008 through 2015. We extracted study characteristics including healthcare topic, design, sample size and proportion female, research setting, and funding source. We created an evidence map by organizing and presenting results within and across healthcare topics, and describing patterns, strengths, and gaps.

RESULTS

We identified 2276 abstracts and assessed each for relevance. We excluded 1092 abstracts and reviewed 1184 full-text articles; 750 were excluded. Of 440 included articles, 208 (47%) were related to mental health, particularly post-traumatic stress disorder (71 articles), military sexual trauma (37 articles), and substance abuse (20 articles). The number of articles addressing VA priority topic areas increased over time, including reproductive health, healthcare organization and delivery, access and utilization, and post-deployment health. Three or fewer articles addressed each of the common chronic diseases: diabetes, hypertension, depression, or anxiety. Nearly 400 articles (90%) used an observational design. Eight articles (2%) described randomized trials.

CONCLUSIONS

Our evidence map summarizes patterns, progress, and growth in the female Veterans' health and healthcare literature. Observational studies in mental health make up the majority of research. A focus on primary care delivery over clinical topics in primary care and a lack of sex-specific results for studies that include men and women have contributed to research gaps in addressing common chronic diseases. Interventional research using randomized trials is needed.

Suboptimal HIV Testing Among Patients Admitted With Pneumonia: A Missed Opportunity

Patients admitted with pneumonia are at higher risk for HIV and should be routinely screened. We examined a retrospective cohort of patients admitted to Duke University Health System with a primary diagnosis of pneumonia. During the study period, 6,951 persons were admitted with pneumonia. Of 6,646 patients without a known prior diagnosis of HIV, 1,010 (15%) had HIV testing during admission and 1,516 (23%) had a previously documented HIV test result. Forty-one (0.6%) patients had a positive HIV test during admission and 27 (0.4%) patients were diagnosed with HIV a median of 498 (IQR 112-982) days later, with median CD4 count of 64 (IQR 16-281) cells/mm³. HIV testing rates remain low in a population at high risk for HIV. At a minimum, we should be adhering to universal HIV screening recommendations, and certainly we should be screening those at higher risk. Opt-out HIV testing of pneumonia inpatients should be implemented.

HIV Testing among Outpatients with Medicaid and Commercial Insurance

Objective

To assess HIV testing and factors associated with receipt of testing among persons with Medicaid and commercial insurance during 2012.

Methods

Outpatient and laboratory claims were analyzed from two databases: all Medicaid claims from six states and all claims from Medicaid health plans from four other states and a large national convenience sample of patients with commercial insurance in the United States. We excluded those aged <13 years and >64 years, enrolled <9 of the 12 months, pregnant females, and previously diagnosed with HIV. We identified patients with new HIV diagnoses that followed (did not precede) the HIV test, using HIV ICD-9 codes. HIV testing percentages were assessed by patient demographics and other tests or diagnoses that occurred during the same visit.

Results

During 2012, 89,242 of 2,069,536 patients (4.3%) with Medicaid had at least one HIV test, and 850 (1.0%) of those tested received a new HIV diagnosis. Among 27,206,804 patients with commercial insurance, 757,646 (2.8%) had at least one HIV test, and 5,884 (0.8%) of those tested received a new HIV diagnosis. During visits that included an HIV test, 80.2% of Medicaid and 83.0% of commercial insurance claims also included a test or diagnosis for a sexually transmitted infection (STI), and/or Hepatitis B or C virus at the same visit.

Conclusions

HIV testing primarily took place concurrently with screening or diagnoses for STIs or Hepatitis B or C. We found little evidence to suggest routine screening for HIV infection was widespread.

Cost-Effectiveness of Collaborative Care for Depression in HIV Clinics

OBJECTIVE

To examine the cost-effectiveness of the HIV Translating Initiatives for Depression Into Effective Solutions (HITIDES) intervention.

DESIGN

Randomized controlled effectiveness and implementation trial comparing depression collaborative care with enhanced usual care.

SETTING

Three Veterans Health Administration HIV clinics in the Southern United States.

SUBJECTS

Two hundred forty-nine HIV-infected patients completed the baseline interview; 123 were randomized to the intervention and 126 to usual care.

INTERVENTION

HITIDES consisted of an offsite HIV depression care team that delivered up to 12 months of collaborative care. The intervention used a stepped-care model for depression treatment, and specific recommendations were based on the Texas Medication Algorithm Project and the VA/Department of Defense Depression Treatment Guidelines.

MAIN OUTCOME MEASURES

Quality-adjusted life years (QALYs) were calculated using the 12-Item Short Form Health Survey, the Quality of Well Being Scale, and by converting depression-free days to QALYs. The base case analysis used outpatient, pharmacy, patient, and intervention costs. Cost-effectiveness was calculated using incremental cost-effectiveness ratios (ICERs) and net health benefit. ICER distributions were generated using nonparametric bootstrap with replacement sampling.

RESULTS

The HITIDES intervention was more effective and cost saving compared with usual care in 78% of bootstrapped samples. The intervention net health benefit was positive and therefore deemed cost-effective using an ICER threshold of $50,000/QALY.

CONCLUSIONS

In HIV clinic settings, this intervention was more effective and cost saving compared with usual care. Implementation of offsite depression collaborative care programs in specialty care settings may be a strategy that not only improves outcomes for patients but also maximizes the efficient use of limited health care resources.

Rates and Predictors of Newly Diagnosed HIV Infection Among Veterans Receiving Routine Once-Per-Lifetime HIV Testing in the Veterans Health Administration

OBJECTIVE

To determine predictors and variations in the rate of newly diagnosed HIV infection among persons who underwent routine (ie, non-risk based) rather than risk-based HIV testing in Veterans Health Administration (VHA) facilities.

METHODS

Retrospective observational study of the HIV infection new rates during the period when VHA policy called for routine (2009-2012) versus risk-based (2006-2009) HIV testing. Source data for testing results at 18 VHA facilities were obtained from the VHA National Corporate Data Warehouse.

RESULTS

New HIV diagnoses were established in 0.14% (95% confidence interval (CI): 0.12 to 0.46) of the 210,957 patients tested in the routine testing period versus 0.46% (95% CI: 0.42 to 1.29) of the 89,652 patients tested in the risk-based testing period. Among persons aged 65-74 years and 75 years or older, the new diagnosis rates were 0.07% (95% CI: 0.04 to 0.09) and 0.02% (95% CI: 0.00 to 0.03), respectively, and thus less than the generally accepted cost-effective threshold of 0.10%. Among African Americans, the upper bound of the 95% CI of the crude rate of new diagnoses during the routine-testing period was greater than 0.1% across all age strata. When assessed by year of testing, the adjusted rates of new diagnoses fell from 0.20% in 2010 to 0.10% in 2012.

CONCLUSIONS

Routine HIV testing is cost-effective among persons younger than 65 years. Among older patients, risk-based testing may be a more efficient and cost-effective approach. This will be increasingly relevant if rates of new HIV diagnoses in persons undergoing routine testing continue to decrease.

HIV Care Continuum Applied to the US Department of Veterans Affairs: HIV Virologic Outcomes in an Integrated Health Care System

BACKGROUND

The Department of Veterans Affairs (VA), the largest integrated HIV care provider in the United States (US), used the HIV Care Continuum to compare clinical care within the VA HIV population with the general US HIV population and to identify areas for improvement.

METHODS

National data from the VA's HIV Clinical Case Registry were used to construct measures along the Continuum for Veterans in VA care diagnosed with HIV by June 2013 and alive by December 31, 2013. Comparisons were made to recent estimates for the same measures for the US HIV population. Additional comparisons were performed for demographic subgroups of sex, race/ethnicity, and age.

RESULTS

Of 25,480 Veterans diagnosed with HIV, 77.4% were engaged in care compared with 46.3% in the US population diagnosed with HIV (P < 0.001). Seventy-three percent of Veterans diagnosed with HIV received antiretroviral therapy compared with 43% of the US population diagnosed with HIV (P < 0.001). Nearly two-thirds (65.3%) of HIV-diagnosed Veterans had suppressed HIV viral loads compared with 35.0% of the US population diagnosed with HIV (P < 0.001).

CONCLUSIONS

The VA health care system performed better at every stage of the HIV Care Continuum compared with the general US estimates. Comparable high rates with some variation were noted among the demographic groups in the VA cohort. The high viral suppression rate in VA, which was almost double the estimate for the HIV-diagnosed US population, demonstrates that improved outcomes along the HIV Care Continuum can be achieved in a comprehensive integrated health care system.

Reuse of insulin pens among multiple patients at 2 Veterans Affairs medical centers

OBJECTIVE

To determine whether reuse of insulin pens among multiple patients resulted in transmission of bloodborne pathogens (BBP).

DESIGN

Retrospective cohort study.

SETTING

Two Veterans Affairs medical centers.

PATIENTS

Veterans who received insulin via insulin pens from 2010 to 2013. METHODS Patients were identified through electronic health records, notified of possible exposure, and serotested for human immunodeficiency virus, hepatitis C virus (HCV), and hepatitis B virus. Newly discovered case patients were assessed in relation to potential proximate patients to determine viral strain relatedness by HCV envelope (env) gene sequencing.

RESULTS

Of 1,791 hospitalized veterans who received insulin via insulin pen, 1,155 were tested for at least 1 viral infection after exposure. Of these, 67 patients were newly diagnosed with 1 or more viral BBPs. For human immunodeficiency virus and hepatitis B virus no additional strain testing of case or proximate patients was possible; 8 HCV cases and 45 proximates (40 unique patients; 5 patients were positive for 2 genotypes) were identified as needing strain testing. Only 3 cases and their 19 proximates had samples available for further testing. None of the 26 remaining proximate patients had blood available for further testing. Median genetic distance between the HCV env sequences of those available for additional testing ranged from 14% to 24%, indicating nonrelatedness.

CONCLUSIONS

Our investigation revealed that exposure to insulin pen reuse did not result in HCV transmission among patients who had viral genetic analysis performed. Analysis for any additional potential transmission of blood-borne pathogens was limited by the available samples.

Impact of defined clinical population and missing data on temporal trends in HIV viral load estimation within a health care system

OBJECTIVES

Community viral load (CVL) estimates vary based on analytic methods. We extended the CVL concept and used data from the Veterans Health Administration (VA) to determine trends in the health care system viral load (HSVL) and its sensitivity to varying definitions of the clinical population and assumptions regarding missing data.

METHODS

We included HIV-infected patients in the Veterans Aging Cohort Study, 2000-2010, with at least one documented CD4 count, HIV-1 RNA or antiretroviral prescription (n = 37 318). We created 6-month intervals including patients with at least one visit in the past 2 years. We assessed temporal trends in clinical population size, patient clinical status and mean HSVL and explored the impact of varying definitions of the clinical population and assumptions about missing viral load.

RESULTS

The clinical population size varied by definition, increasing from 16 000-19 000 patients in 2000 to 23 000-26 000 in 2010. The proportion of patients with suppressed HIV-1 RNA increased over time. Over 20% of patients had no viral load measured in a given interval or the past 2 years. Among patients with a current HIV-1 RNA, mean HSVL decreased from 97 800 HIV-1 RNA copies/mL in 2000 to 2000 copies/mL in 2010. When current HIV-1 RNA data were unavailable and the HSVL was recalculated using the last available HIV-1 RNA, HSVL decreased from 322 300 to 9900 copies/mL. HSVL was underestimated when using only current data in each interval.

CONCLUSIONS

The CVL concept can be applied to a health care system, providing a measure of health care quality. Like CVL, HSVL estimates depend on definitions of the clinical population and assumptions about missing data.

Implementation of National HIV Screening Recommendations in the Indian Health Service

BACKGROUND

The Indian Health Service (IHS), a federal agency, provides direct patient care to an estimated 1.9 million American Indian/Alaska Native patients across a large and decentralized network of health facilities. The IHS sought to implement HIV screening of adults and adolescents per national recommendations. The IHS facilities received technical support such as electronic clinical reminders (ECRs) and sample HIV-testing policies.

PURPOSE

To determine what facility-wide policy and practices were associated with high HIV screening rates.

METHODS

Survey of clinical directors of 61 federal health facilities on use of ECRs, testing policies/standing orders, and other factors associated with HIV screening. These results were correlated with HIV screening performance results for each facility as derived from the IHS national database.

RESULTS

A total of 51 (84%) of 61 facilities were interviewed. In univariate analysis, factors that were correlated with higher rates of HIV screening were having an HIV screening standing order (unadjusted odds ratio [UOR] 8.7, 95% confidence interval [CI] 2.0-37.3), sexually transmitted disease (STD) screening standing order (UOR 5, CI 1.1-21.7), having an HIV ECR in place for a year or longer (UOR 10.2, CI 2.8-37.5), and inclusion of both providers and nurses in offering HIV screening (UOR 4.8, CI 1.4-16.7). In multivariate analysis, ECRs (adjusted odds ratio [AOR] 9.1, 95% CI 1.8-45.1) and STD standing orders (AOR 7.4, 95% CI 1.1-51.0) remained significantly associated with higher HIV screening.

CONCLUSION

Policy and practice interventions such as ECRs and standing order/testing policies and delegation of screening are correlated with high HIV screening, are scalable across health networks, and will be used for improving other infectious disease screening indicators in such as STD and hepatitis C.

Building strong research partnerships between public health and researchers: a VA case study

We are in a new era of partner-based implementation research, and we need clear strategies for how to navigate this new era. Drawing on principles from community-based participatory research, the Clinical Public Health group of the Department of Veterans Affairs and the HIV/Hepatitis Quality Enhancement Research Initiative (HHQUERI) forged a longstanding partnership that has improved the care of Veterans with Human Immunodeficiency Virus (HIV) and Hepatitis C Virus. An exemplar HIV testing project epitomizes this partnership and is discussed in terms of the lessons learned as a result of our high level of collaboration around design, analysis, implementation, and dissemination across projects over the past several years. Lessons learned through this partnered testing program involve respecting different time horizons among the partners, identifying relevant research questions for both parties, designing flexible studies, engaging all partners throughout the research, and placing an emphasis on relationship building at all times. These lessons and strategies can benefit others conducting partner-based research both within the Veterans Health Administration (VA) and in other integrated healthcare systems.

Development and validation of an algorithm to identify patients newly diagnosed with HIV infection from electronic health records

An algorithm was developed that identifies patients with new diagnoses of HIV infection by the use of electronic health records. It was based on the sequence of HIV diagnostic tests, entry of ICD-9-CM diagnostic codes, and measurement of HIV-1 plasma RNA levels in persons undergoing HIV testing from 2006 to 2012 at four large urban Veterans Health Administration (VHA) facilities. Source data were obtained from the VHA National Corporate Data Warehouse. Chart review was done by a single trained abstractor to validate site-level data regarding new diagnoses. We identified 1,153 patients as having a positive HIV diagnostic test within the VHA. Of these, 57% were determined to have prior knowledge of their HIV status from testing at non-VHA facilities. An algorithm based on the sequence and results of available laboratory tests and ICD-9-CM entries identified new HIV diagnoses with a sensitivity of 83%, specificity of 86%, positive predictive value of 85%, and negative predictive value of 90%. There were no meaningful demographic or clinical differences between newly diagnosed patients who were correctly or incorrectly classified by the algorithm. We have validated a method to identify cases of new diagnosis of HIV infection in large administrative datasets. This method, which has a sensitivity of 83%, specificity of 86%, positive predictive value of 85%, and negative predictive value of 90% can be used in analyses of the epidemiology of newly diagnosed HIV infection.