Pretreatment assessment and predictors of hepatitis C virus treatment in US veterans coinfected with HIV and hepatitis C virus

Direct acting antiviral treatment of chronic hepatitis C in Denmark: factors associated with and barriers to treatment initiation

OBJECTIVES

We describe factors associated with and barriers to initiation of Direct Acting Antiviral (DAA) treatment in patients with chronic hepatitis C, who fulfill national fibrosis treatment guidelines in Denmark.

MATERIALS AND METHODS

In this nationwide cohort study, we included patients with chronic hepatitis C from The Danish Database for Hepatitis B and C (DANHEP) who fulfilled fibrosis treatment criteria. Factors associated with treatment initiation and treatment failure were determined by logistic regression analyses. Medical records were reviewed from patients who fulfilled fibrosis treatment criteria, but did not initiate DAA treatment to determine the cause.

RESULTS

In 344 (49%) of 700 patients, who fulfilled treatment criteria, factors associated with DAA treatment initiation were transmission by other routes than injecting drug use odds ratio (OR) 2.13 (CI: 1.38-3.28), previous treatment failure OR 2.58 (CI: 1.84-3.61) and ALT above upper limit of normal OR 1.60 (CI: 1.18-2.17). The most frequent reasons for not starting treatment among 356 (51%) patients were non-adherence to medical appointments (n = 107/30%) and ongoing substance use (n = 61/17%). Treatment failure with viral relapse occurred in 19 (5.5%) patients, who were more likely to have failed previous treatment OR 4.53 (CI: 1.59-12.91).

CONCLUSIONS

In this nationwide cohort study, we found non-adherence to medical appointments and active substance use to be major obstacles for DAA treatment initiation. Our findings highlight the need for interventions that can overcome these barriers and increase the number of patients who can initiate and benefit from curative DAA treatment.

Preferences for antiviral therapy of chronic hepatitis C: a discrete choice experiment

BACKGROUND

The German Institute for Quality and Efficiency in Health Care (IQWiG) uses patient-relevant outcomes to inform decision-makers.

OBJECTIVE

IQWiG conducted a pilot study to examine whether discrete choice experiments (DCEs) can be applied in health economic evaluations in Germany to identify, weight, and prioritize multiple patient-relevant outcomes, using the example of antiviral therapy for chronic hepatitis C (HCV). A further objective was to contribute to a more structured approach towards eliciting and comparing preferences across key stakeholders.

METHODS

In autumn 2010, a DCE questionnaire was sent to patients with chronic HCV to estimate preferences across seven outcomes ("attributes"), including treatment efficacy [sustained viral response (SVR) at 6 months], adverse effects (flu-like symptoms, gastrointestinal symptoms, psychiatric symptoms, and skin symptoms/alopecia), and measures of treatment burden (duration of therapy, frequency of injections). A linear model and an effects coded full model were applied to assess the relative importance of the attributes.

RESULTS

In total N = 326 patients were included. A clear preference for SVR was shown; frequency of injections and duration of therapy shared the second rank, while psychiatric symptoms ranked third. The duration of flu-like symptoms was the least important attribute.

CONCLUSION

Our findings indicate that it is possible to perform a DCE at the national level in a health technology assessment agency. The weighting of multiple outcomes allows an indication-specific and evidence-based measure to be used in health economic evaluations. In decision-making in health care, the approach generally allows for consideration of patient-relevant trade-offs regarding the benefits and harms of medical interventions.

Non-initiation of hepatitis C virus antiviral therapy in patients with human immunodeficiency virus/hepatitis C virus co-infection

AIM

To assess whether reasons for hepatitis C virus (HCV) therapy non-initiation differentially affect racial and ethnic minorities with human immunodeficiency virus (HIV)/HCV co-infection.

METHODS

Analysis included co-infected HCV treatment-naïve patients in the University of North Carolina CFAR HIV Clinical Cohort (January 1, 2004 and December 31, 2011). Medical records were abstracted to document non-modifiable medical (e.g., hepatic decompensation, advanced immunosuppression), potentially modifiable medical (e.g., substance abuse, severe depression, psychiatric illness), and non-medical (e.g., personal, social, and economic factors) reasons for non-initiation. Statistical differences in the prevalence of reasons for non-treatment between racial/ethnic groups were assessed using the two-tailed Fisher's exact test. Three separate regression models were fit for each reason category. Odds ratios and their 95%CIs (Wald's) were computed.

RESULTS

One hundred and seventy-one patients with HIV/HCV co-infection within the cohort met study inclusion. The study sample was racially and ethnically diverse; most patients were African-American (74%), followed by Caucasian (19%), and Hispanic/other (7%). The median age was 46 years (interquartile range = 39-50) and most patients were male (74%). Among the 171 patients, reasons for non-treatment were common among all patients, regardless of race/ethnicity (50% with ≥ 1 non-modifiable medical reason, 66% with ≥ 1 potentially modifiable medical reason, and 66% with ≥ 1 non-medical reason). There were no significant differences by race/ethnicity. Compared to Caucasians, African-Americans did not have increased odds of non-modifiable [adjusted odds ratio (aOR) = 1.47, 95%CI: 0.57-3.80], potentially modifiable (aOR = 0.72, 95%CI: 0.25-2.09) or non-medical (aOR = 0.90, 95%CI: 0.32-2.52) reasons for non-initiation.

CONCLUSION

Race/ethnicity alone is not predictive of reasons for HCV therapy non-initiation. Targeted interventions are needed to improve access to therapy for all co-infected patients, including minorities.

Correlates of Initiation of Treatment for Chronic Hepatitis C Infection in United States Veterans, 2004-2009

We describe the rates and predictors of initiation of treatment for chronic hepatitis C (HCV) infection in a large cohort of HCV positive Veterans seen in U.S. Department of Veterans Affairs (VA) facilities between January 1, 2004 and December 31, 2009. In addition, we identify the relationship between homelessness among these Veterans and treatment initiation. Univariate and multivariable Cox Proportional Hazards regression models with time-varying covariates were used to identify predictors of initiation of treatment with pegylated interferon alpha plus ribavirin. Of the 101,444 HCV treatment-naïve Veterans during the study period, rates of initiation of treatment among homeless and non-homeless Veterans with HCV were low and clinically similar (6.2% vs. 7.4%, p<0.0001). For all U.S. Veterans, being diagnosed with genotype 2 or 3, black or other/unknown race, having Medicare or other insurance increased the risk of treatment. Veterans with age ≥50 years, drug abuse, diabetes, and hemoglobin < 10 g/dL showed lower rates of treatment. Initiation of treatment for HCV in homeless Veterans is low; similar factors predicted initiation of treatment. Additionally, exposure to treatment with medications for diabetes predicted lower rates of treatment. As newer therapies become available for HCV, these results may inform further studies and guide strategies to increase treatment rates in all U.S. Veterans and those who experience homelessness.

Rate, delay and predictors of hepatitis C treatment in British Columbia

BACKGROUND

The current treatment rate for chronic hepatitis C virus (HCV) infection is suboptimal despite the availability of efficacious antiviral therapy.

OBJECTIVE

To determine the rate, delay and predictors of treatment in patients with chronic HCV infection.

METHODS

A retrospective chart review of chronic HCV patients who were being evaluated at a tertiary hepatology centre in Vancouver, British Columbia, was performed.

RESULTS

One hundred sixty-four patients with chronic HCV infection who were assessed for treatment between February 2008 and January 2013 were reviewed. Treatment was initiated in 25.6% (42 of 164). In multivariate analyses, male sex (OR 7.90 [95% CI 1.35 to 46.15]) and elevated alanine aminotransferase (ALT) level (>1.5 times the upper limit of normal) (OR 3.10 [95% CI 1.32 to 7.27]) were positive predictors of treatment, whereas active smoking (OR 0.09 [95% CI 0.02 to 0.53]) and Charlson comorbidity index (per point increase) (OR 0.47 [95% CI 0.27 to 0.83]) were negative predictors of treatment. The most common reasons for treatment deferral were no or minimal liver fibrosis in 57.7% (n=30), persistently normal ALT levels in 57.7% (n=30) and patient unreadiness in 28.8% (n=15). The most common reasons for treatment noninitiation were patient refusal in 59.1% (n=26), medical comorbidities in 36.4% (n=16), psychiatric comorbidities in 9.1% (n=4) and decompensated cirrhosis in 9.1% (n=4). There was a statistically significant difference in the median time delay from HCV diagnosis to general practitioner referral between the treated and untreated patients (66.3 versus 119.5 months, respectively [P=0.033]). The median wait time from general practitioner referral to hepatologist consult was similar between the treated and untreated patients (1.7 months versus 1.5 months, respectively [P=0.768]). Among the treated patients, the median time delay was 6.8 months from hepatologist consult to treatment initiation.

CONCLUSIONS

The current treatment rate for chronic HCV infection remains suboptimal. Medical and psychiatric comorbidities represent a major obstacle to HCV treatment. Minimal hepatic fibrosis may no longer be a major reason for treatment deferral as more efficacious and tolerable antiviral therapies become available in the future. Greater educational initiatives for primary care physicians would promote early referral of patients. More nursing support would alleviate the backlog of patients awaiting treatment.

Barriers to hepatitis C antiviral therapy in HIV/HCV co-infected patients in the United States: a review

This review synthesized the literature for barriers to HCV antiviral treatment in persons with HIV/HCV co-infection. Searches of PubMed, Embase, CINAHL, and Web of Science were conducted to identify relevant articles. Articles were excluded based on the following criteria: study conducted outside of the United States, not original research, pediatric study population, experimental study design, non-HIV or non-HCV study population, and article published in a language other than English. Sixteen studies met criteria and varied widely in terms of study setting and design. Hepatic decompensation was the most commonly documented absolute/nonmodifiable medical barrier. Substance use was widely reported as a relative/modifiable medical barrier. Patient-level barriers included nonadherence to medical care, refusal of therapy, and social circumstances. Provider-level barriers included provider inexperience with antiviral treatment and/or reluctance of providers to refer patients for treatment. There are many ongoing challenges that are unique to managing this patient population effectively. Documenting and evaluating these obstacles are critical steps to managing and caring for these individuals in the future. In order to improve uptake of HCV therapy in persons with HIV/HCV co-infection, it is essential that barriers, both new and ongoing, are addressed, otherwise, treatment is of little benefit.

Association between facility characteristics and the process of care delivered to patients with hepatitis C virus infection

BACKGROUND

Available data suggest problems in the process of care provided to patients with chronic hepatitis C (HCV). However, the solutions to these problems are less obvious. Healthcare facility factors are potentially modifiable and may enhance process quality in HCV treatment.

METHODS

We evaluated the relationship between the process of HCV care and facility factors including number of weekly half-day HCV clinics per 1,000 HCV patients, HCV-specific quality-improvement initiatives, and administrative service of the HCV clinic (gastroenterology, infectious disease, primary care) for a cohort of 34,258 patients who sought care in 126 Veterans Affairs facilities during 2003-2006. We measured HCV care on the basis of 23 HCV-specific process measures capturing pretreatment (seven measures), preventive and/or comorbid (seven measures), and treatment and treatment monitoring care (nine measures).

RESULTS

Patients seen at a facility with >8 half-day clinics were 52 % more likely to receive overall indicated care (OR 1.52, 95 % CI 1.13-2.05). Patients seen at a facility with >3 HCV quality improvement initiatives were more likely to receive better preventive and/or comorbid care (OR 1.32, 95 % CI 1.00-1.74). Compared with patients in facilities with no dedicated HCV clinic, patients at facilities with gastroenterology-based clinics received better pretreatment care (OR 1.36, 95 % CI 1.01-1.85) and more antiviral treatment (OR 1.45, 95 % CI 1.06-1.97) whereas those at facilities with infectious disease-based or primary care-based clinics received better preventive and/or comorbid care (OR 1.59, 95 % CI 1.06-2.39 and 1.84, 95 % CI 1.21-2.79 respectively).

CONCLUSION

Several facility factors affected the process of HCV care. These factors may serve as targets for quality-improvement efforts.

The cost-effectiveness of improved hepatitis C virus therapies in HIV/hepatitis C virus coinfected patients

OBJECTIVES

To evaluate the effectiveness and cost-effectiveness of strategies to treat hepatitis C virus (HCV) in HIV/HCV coinfected patients in the United States.

PARTICIPANTS

Simulated cohort of HIV/HCV genotype 1 coinfected, noncirrhotic, HCV treatment-naive individuals enrolled in US HIV guideline-concordant care.

DESIGN/INTERVENTIONS

Monte Carlo simulation comparing five strategies: no treatment; dual therapy with pegylated-interferon (PEG) and ribavirin (RBV); 'PEG/RBV trial' in which all patients initiate dual therapy and switch to triple therapy upon failure; 'IL28B triage' in which patients initiate either dual therapy or triple therapy based on their IL28B allele type; and PEG/RBV and telaprevir (TPV) triple therapy. Sensitivity analyses varied efficacies and costs and included a scenario with interferon (IFN)-free therapy.

MAIN MEASURES

Sustained virologic response (SVR), life expectancy, discounted quality-adjusted life expectancy (QALE), lifetime medical costs, and incremental cost-effectiveness ratios (ICERs) in $/quality-adjusted life years (QALY) gained.

RESULTS

'PEG/RBV trial,' 'IL28B triage,' and 'triple therapy' each provided 72% SVR and extended QALE compared with 'dual therapy' by 1.12, 1.14, and 1.15 QALY, respectively. The ICER of 'PEG/RBV trial' compared with 'dual therapy' was $37 500/QALY. 'IL28B triage' and 'triple therapy' provided little benefit compared with 'PEG/RBV trial,' and both had ICERs exceeding $300 000/QALY. In sensitivity analyses, IFN-free treatment attaining 90% SVR had an ICER less than $100 000/QALY compared with 'PEG/RBV trial' when its cost was $109 000 or less (125% of the cost of PEG/RBV/TVR).

CONCLUSION

HCV protease inhibitors are most efficiently used in HIV/HCV coinfection after a trial of PEG/RBV, sparing protease inhibitors for those who attain rapid virologic response and SVR. The cost-effectiveness of IFN-free regimens for HIV/HCV coinfection will depend on the cost of these therapies.

National patterns and predictors of liver biopsy use for management of hepatitis C

BACKGROUND & AIMS

Liver biopsy remains the standard, recommended method for assessing liver damage associated with chronic hepatitis C (HCV) infection. However, there is considerable debate about how liver biopsy should best be used, especially with the advent of more efficacious antiviral therapies. To identify the factors that influence the use of liver biopsy for HCV patients, we describe variations in liver biopsy use at the delivery system and patient level in a national VA sample.

METHODS

We analyzed VA HCV registry data for 171,893 VA patients with confirmed chronic HCV. Delivery system characteristics included geographic region and specialist time. Patient characteristics included antiviral treatment indicators, contraindications, volume of healthcare visits, and demographic variables. Logistic regression was used to explore correlates of biopsy use.

RESULTS

Liver biopsy use in the VA system increased from 1997 to 2003 but began declining in 2004. Rates of liver biopsy from 2004 to 2006 varied by VA region, ranging from 5% to 18%. Treatment contraindications and laboratory tests were significantly associated with more biopsies. Demographic variables (higher age, lower BMI, race/ethnicity, and less% service connected disability) were associated with fewer biopsies. Regional variability remained significant independent of volume of care and specialist time.

CONCLUSIONS

Liver biopsy rates in the VA system have variability that seems unrelated to clinical need. New antiviral therapies and non-invasive assessment techniques may create additional uncertainty for the role of liver biopsy, perhaps explaining its decline in recent years. The availability of more effective antiviral therapies may also affect biopsy rates in the future.

Positive impact of hepatitis C virus (HCV) treatment on antiretroviral treatment adherence in human immunodeficiency virus-HCV coinfected patients: one more argument for expanded access to HCV treatment for injecting drug users

AIMS

Treatment for the hepatitis C virus (HCV) may be delayed significantly in human immunodeficiency virus (HIV)/HCV coinfected patients on antiretroviral treatment (ART) for fear that its burden could compromise ART adherence. However, the effect such treatment has on ART adherence in observational settings remains largely unknown. Longitudinal data were used to investigate the relationship between initiating HCV treatment and adherence to ART in HIV/HCV coinfected patients.

DESIGN

The French national prospective cohort of patients coinfected with HIV and HCV (ANRS-CO-13-HEPAVIH) is a multi-centre cohort.

SETTING

Seventeen out-patient hospital services delivering HIV and HCV care in France.

PARTICIPANTS

HIV/HCV coinfected patients on ART (n = 593 patients, 976 visits).

MEASUREMENTS

Self-administered questionnaires and medical records. A mixed logistic regression model based on generalized estimates equations (GEE) to identify factors associated with non-adherence to ART.

FINDINGS

Among the 593 patients, 36% were classified as non-adherent to ART at the enrolment visit and 12% started HCV treatment during follow-up. ART adherence was not associated statistically with HCV treatment initiation. The proportion of patients maintaining adherence or becoming adherent to ART for those starting HCV treatment was higher than in the rest of the sample (P = 0.07). After multiple adjustment for known correlates, such as poor housing conditions, binge drinking, recent drug use and depressive symptoms, patients who initiated HCV treatment were less likely to be non-adherent to ART [odds ratio (95% confidence interval) = 0.41 (0.24-0.71)].

CONCLUSIONS

Engaging human immunodeficiency virus/hepatitis C virus coinfected individuals in hepatitis C virus treatment is associated with high adherence to antiretroviral treatment. Physicians should prioritize hepatitis C virus treatment as part of a multi-disciplinary approach.

Reliability and predictive validity of a hepatitis-related symptom inventory in HIV-infected individuals referred for Hepatitis C treatment

Background

We aimed to determine the reliability and validity of a hepatitis symptom inventory and to identify predictors of hepatitis C (HCV) treatment initiation in a cohort of HIV-infected patients.

Methods

Prospective clinic based study that enrolled patients referred for HCV therapy consideration. A hepatitis symptom inventory and the Center for Epidemiologic Studies Depression Scale (CES-D) were administered to HIV/HCV individuals. The symptom inventory was factor analyzed and subscale reliability estimated with Cronbach's alpha. Predictive validity was evaluated using generalized estimating equations (GEE). Predictors of HCV treatment were identified using logistic regression.

Results

Between April 2008 to July 2010, 126 HIV/HCV co-infected patients were enrolled in the study. Factor analysis using data from 126 patients yielded a three-factor structure explaining 60% of the variance for the inventory. Factor 1 (neuropsychiatric symptoms) had 14 items, factor 2 (somatic symptoms) had eleven items, and factor 3 (sleep symptoms) had two items, explaining 28%, 22% and 11% of the variance, respectively. The three factor subscales demonstrated high intrinsic consistency reliability. GEE modeling of the 32 patients who initiated HCV therapy showed that patients developed worsening neuropsychiatric and somatic symptoms following HCV therapy with stable sleep symptoms. Bivariate analyses identified the following as predictors of HCV therapy initiation: lower HIV log₁₀ RNA, lower scores for neuropsychiatric, somatic and sleep symptoms, lower CES-D scores and white ethnicity. In stepwise multiple logistic regression analysis, low neuropsychiatric symptom score was the strongest independent predictor of HCV therapy initiation and HIV log₁₀ RNA was inversely associated with a decision to initiate HCV treatment.

Conclusions

A 41-item hepatitis-related symptom inventory was found to have a clinically meaningful 3-factor structure with excellent internal consistency reliability and predictive validity. In adjusted analysis, low neuropsychiatric symptom scores and controlled HIV infection were independent predictors of HCV treatment initiation. The usefulness of the HCV symptom inventory in monitoring HCV treatment should be evaluated prospectively.

Factors associated with specialist assessment and treatment for hepatitis C virus infection in New South Wales, Australia

Assessment and treatment for hepatitis C virus (HCV) in the community remains low. We evaluated factors associated with HCV specialist assessment and treatment in a cross-sectional study to evaluate treatment considerations in a sample of 634 participants with self-reported HCV infection in New South Wales, Australia. Participants having received HCV specialist assessment (n = 294, 46%) were more likely to be have been older (vs <35 years; 35-44 OR 1.64, P = 0.117; 45-54 OR 2.00, P = 0.024; ≥55 OR 5.43, P = 0.002), have greater social support (vs low; medium OR 3.07, P = 0.004; high OR 4.31, P < 0.001), HCV-related/attributed symptoms (vs none; 1-10 OR 3.89, P = 0.032; 10-21 OR 5.01, P = 0.010), a diagnosis of cirrhosis (OR 2.40, P = 0.030), have asked for treatment information (OR 1.91, P = 0.020), have greater HCV knowledge (OR 2.49, P = 0.001), have been told by a doctor to go onto treatment (OR 3.00, P < 0.001), and less likely to be receiving opiate substitution therapy (OR 0.10, P < 0.001) and never to have seen a general practitioner (OR 0.24, P < 0.001). Participants having received HCV treatment (n = 154, 24%) were more likely to have greater fibrosis (vs no biopsy; none/minimal OR 3.45, P = 0.001; moderate OR 11.47, P < 0.001; severe, OR 19.51, P < 0.001), greater HCV knowledge (OR 2.57; P = 0.004), know someone who has died from HCV (OR 2.57, P = 0.004), been told by a doctor to go onto treatment (OR 3.49, P < 0.001), were less likely to have been female (OR 0.39, P = 0.002), have recently injected (OR 0.42, P = 0.002) and be receiving opiate substitution therapy (OR 0.22, P < 0.001). These data identify modifiable patient-, provider- and systems-level barriers associated with HCV assessment and treatment in the community that could be addressed by targeted interventions.

Cross-sectional epidemiology of hepatitis C virus detection and treatment in HIV-infected patients

BACKGROUND

Sustained virologic response to peginterferon plus ribavirin reduces liver-related complications and mortality in patients co-infected with HIV and hepatitis C virus. Therefore, the presence of any barriers to start hepatitis C virus therapy should be identified and eliminated in order to recruit all eligible patients.

METHODS

Cross-sectional study. In a HIV referral clinic we assessed the proportion of patients eligible for hepatitis C virus evaluation and treatment according to consensus guidelines.

RESULTS

We identified 134 patients with hepatitis C virus and HIV co-infection. Twenty-one patients were excluded from the analysis due to never attending the HIV clinic (n=12) or having hepatitis C virus RNA not detectable (n=9). In the remaining 113 patients, only 61% had identification of hepatitis C virus genotype and quantification of hepatitis C viral load. Thirty-six patients started peginterferon plus ribavirin, and 16 (44%) achieved sustained virologic response. Seventy-seven patients did not receive treatment for hepatitis C virus due to the presence of medical contraindications (n=22), provider barriers (n=15), or patient barriers (n=40). Multivariate analysis identified lower education degree (odds ratio: 4.53; 95% confidence intervals: 1.36-15.16, p=0.014) and patient civil status single, separated or widower (odds ratio: 4.81; 95% confidence intervals: 1.54-14.99, p=0.007) as the independent determinants associated to not initiating therapy for hepatitis C virus infection in patients with barriers.

CONCLUSION

A minor proportion of HIV-infected patients received appropriate assessment and treatment for hepatitis C virus infection. Social disadvantages require multidisciplinary models of health care to improve hepatitis C virus treatment initiation and success.

Clinical Case Registries: simultaneous local and national disease registries for population quality management

The Department of Veterans Affairs (VA) has a system-wide, patient-centric electronic medical record system (EMR) within which the authors developed the Clinical Case Registries (CCR) to support population-centric delivery and evaluation of VA medical care. To date, the authors have applied the CCR to populations with human immunodeficiency virus (HIV) and hepatitis C virus (HCV). Local components use diagnosis codes and laboratory test results to identify patients who may have HIV or HCV and support queries on local care delivery with customizable reports. For each patient in a local registry, key EMR data are transferred via HL7 messaging to a single national registry. From 128 local registry systems, over 60,000 and 320,000 veterans in VA care have been identified as having HIV and HCV, respectively, and entered in the national database. Local and national reports covering demographics, resource usage, quality of care metrics and medication safety issues have been generated.

Comparison of two VA laboratory data repositories indicates that missing data vary despite originating from the same source

BACKGROUND

Assessing accuracy and completeness of data is an important component of conducting research. VA Healthcare System benefits from a highly developed electronic medical information system. The Immunology Case Registry was designed to monitor costs and quality of HIV care. The Decision Support System was developed to monitor utilization and costs of veterans in care. Because these systems extract data from the same source using independent methods, they provide an opportunity to compare the accuracy and completeness of each.

OBJECTIVE

To compare overlapping laboratory data from the Veterans Affairs Health Information System between 2 data repositories.

RESEARCH DESIGN

For hemoglobin, CD4 lymphocyte counts (CD4), HIV RNA viral load, aspartate aminotransferase, alanine aminotransferase, glycosylated hemoglobin, creatinine, and white blood count, we calculated the percent of individuals with a value from each source. For results in both repositories, we calculated Pearson's correlation coefficients.

SUBJECTS

A total of 22,647 HIV+ veterans in the Virtual Cohort with a visit in fiscal year 2002.

RESULTS

For 6 out of 9 tests, 68% to 72% of the observations overlapped. For CD4, viral load, and glycosylated hemoglobin less than 31% of observations overlapped. Overlapping results were nearly perfectly correlated except for CD4.

CONCLUSIONS

Six of the laboratory tests demonstrated remarkably similar amounts of overlap, though Immunology Case Registry and Decision Support System both have missing data. Findings indicate that validation of laboratory data should be conducted before its use in quality and efficiency projects. When 2 databases are not available for comparison, other methods of validation should be implemented.

Predictors of treatment in patients with chronic hepatitis C infection - role of patient versus nonpatient factors

Treatment with interferon and ribavirin is effective in patients with chronic infection with hepatitis C virus (HCV). Previous data indicate that treatment rates are suboptimal. We sought to identify patient and provider-level predictors of treatment receipt in HCV by conducting a retrospective cohort study of 5701 HCV patients in a large regional Veteran's Administration (VA) healthcare network. We also determined the degree of variation in treatment rates attributable to patient, provider, and facility factors. Three thousand seven hundred forty-three patients (65%) were seen by a specialist and 894 (15.7%) received treatment. Treatment rates varied from 6% to 29% across the 5 facilities included in the analysis. Patients were less likely to receive treatment if they were older [RR, 0.55; 95% CI, 0.45, 0.67), single (RR, 0.77; 95%CI, 0.67, 0.88), had hepatic dysfunction (RR, 0.73; 95%CI, 0.66, 0.89), had normal alanine aminotransferase (ALT) (RR, 0.73; 95%CI, 0.59, 0.89), had HCV genotype 1 (RR, 0.78; 95%CI, 0.71, 0.86), were African American with genotype 1 (RR, 0.78; 95% CI, 0.71, 0.86), or were anemic (RR, 0.70; CI, 0.60, 0.89). In addition, patients evaluated by less experienced providers were 77% less likely to receive treatment than those evaluated by more experienced providers. The patient, provider, and facility factors explained 23%, 25%, and 7% of variation in treatment rates, respectively.

CONCLUSION

These data suggest that although patient characteristics are important predictors of treatment in HCV, a significant proportion of variation in treatment rates is explained by provider factors. These potentially modifiable provider-level factors may serve as high-yield targets for future quality improvement initiatives in HCV.