Home Current Issue Previous Issues Published Ahead-of-Print Collections For Authors Journal Info
Skip Navigation LinksHome > March 5, 2004 - Volume 18 - Issue 4 > Healthcare use by varied highly active antiretroviral therap...
AIDS:
5 March 2004 - Volume 18 - Issue 4 - pp 621-630
Clinical Science

Healthcare use by varied highly active antiretroviral therapy (HAART) strata: HAART use, discontinuation, and naivety

Palacio, Herminia; Li, Xiuhonga; Wilson, Tracey Eb; Sacks, Henryc; Cohen, Mardge Hd; Richardson, Jeane; Young, Maryf; Muñoz, Alvaroa; for the Women's Interagency HIV Study (WIHS)

Free Access
Article Outline
Collapse Box

Author Information

From the Harris County Public Health and Environmental Services, Houston, Texas, aDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, bDepartment of Preventive Medicine and Community Health, State University of New York, Downstate Medical Center, Brooklyn, cThomas C. Chalmers Clinical Trials Unit, Mount Sinai School of Medicine, New York, New York, dCORE Center, Cook County Hospital, Chicago, Illinois, eDepartment of Preventive Medicine, University of Southern California, Los Angeles, California, fDepartment of Medicine, Georgetown University Medical Center, Washington, DC, USA. *See Appendix.

Correspondence to H. Palacio, Harris County Public Health and Environmental Services, 2223 West Loop South, Houston, TX 77027, USA.

Received: 15 January 2003; revised: 26 September 2003; accepted: 7 October 2003.

Collapse Box

Abstract

Objectives: Prior reports have found a temporal association between the introduction of highly active antiretroviral therapy (HAART) and population rates of health service use among persons living with HIV. Our objective was to explore further the effect of HAART by comparing healthcare use among persons who use HAART and persons who discontinue HAART to that among HAART-naive and HIV-negative persons.

Methods: Longitudinal analyses of 1485 women with and at-risk for HIV who contributed data to the Women's Interagency HIV Study between April 1997 and March 2000.

Results: Compared with HAART-naive women, those using HAART had a higher probability of more than three primary care visits per 6 months [odds ratio (OR), 1.38; 95% confidence interval (CI), 1.16-1.65), a lower probability of more than one emergency room visit per 6 months (OR, 0.75; CI, 0.59-0.95), and a lower probability of more than one hospitalization per 6 months (OR, 0.67; CI, 0.51-0.88). Compared with HAART-naive women, women who had discontinued HAART had a higher frequency of primary care visits (OR, 1.57; CI, 1.26-1.97) but did not demonstrate a significant change in emergency room or hospital use. Modeling of a standardized population HIV-positive women without AIDS indicated hospitalization and emergency room use among HAART users was equivalent to that among HIV-negative women.

Conclusions: HIV-positive HAART users (without AIDS) exhibited emergency room and hospitalization use patterns equivalent to those of HIV-negative women. Furthermore, the discontinuation of HAART was associated with a loss of the reduction in hospital use that was achieved with HAART.

Back to Top | Article Outline

Introduction

As more experience with highly active antiretroviral therapy (HAART) regimens for the treatment of HIV has been gained over the past several years, there is increased recognition of the diversity of potentially serious adverse clinical events associated with these treatments. Potential adverse effects include hepatotoxicity [1,2], impaired glucose metabolism and diabetes mellitus [3-6], hyperlactatemia [7-9], hyperlipidemia [3-6,10] and fat redistribution [3,6,8].

Most of the previous reports that have examined the effects of HAART on the frequency and/or cost of healthcare service use have taken an ecological approach to the analyses (e.g., explored associations between population prevalence of HAART use and population hospitalization rates and/or costs) [11-20]. A few reports compared healthcare service use and/or costs among persons on HAART to those not on HAART [20-23]. While the slowing of disease progression might be expected to be associated with decreased health service use, clinical monitoring requirements for effective HAART therapy and the potentially accumulating need for management of HAART side effects might be expected to be associated with increased service use. In this report we examine the effect of HAART on healthcare utilization from 1997 through 2000. We used two analytic approaches: an individual approach and a complementary population-based approach.

Back to Top | Article Outline

Methods

Study population and design overview

The Women's Interagency HIV Study (WIHS) is a multi-site cohort study of women with and at risk for HIV infection in the USA. Between October 1994 and November 1995 we enrolled 2628 women (2059 HIV-positive women and 569 HIV-negative women) at six sites: Bronx/Manhattan, New York; Brooklyn, New York; Chicago, Illinois; Los Angeles, California; Northern California; and Washington, D.C. Participants undergo follow-up study visits at 6-month intervals. At each study visit we perform detailed interviews, physical examination, and laboratory specimen collection. A description of WIHS enrollment and study design have been presented elsewhere [24]. The Institutional Review Boards of all participating sites approved the study, and informed consent was obtained from all participants prior to enrollment.

We aimed to quantify the individual effectiveness of HAART [25] on healthcare service use. For this report we used the longitudinal interview and laboratory data to assess associations between HAART use and HAART discontinuation on healthcare service use. Our eligible study population consisted of women who contributed data on healthcare use between April 1997 and March 2000 [26,27]. We excluded 240 women who reported a pregnancy at any point during the analysis period to eliminate the high frequency of healthcare use associated solely with prenatal care. We also excluded nine women who seroconverted during the study period to simplify the analyses to women with stable serostatus.

Back to Top | Article Outline
Data collection

Our analyses included self-reported interview data collected at each study visit, such as demographic information (age, race/ethnicity, employment status, and health insurance status), medical history (diagnoses of AIDS-defining clinical conditions [28,29]), medication use, and healthcare utilization. To enhance participant recall regarding medications, interviewers showed participants pictures of antiretroviral medications and referred to the medications by trade name, generic name and chemical name. Healthcare utilization data included frequencies of primary care visits, emergency room visits, and hospitalizations since the previous study visit. We used the following laboratory data for our analyses: HIV-antibody testing by enzyme-linked immunoabsorbant serum assay plus confirmatory Western blot (baseline for all participants and at each follow-up visit for HIV-negative participants); CD4 cell count; and HIV ribonucleic acid (HIV RNA) quantification by nucleic acid sequence based (NASBA/Nuclisens) method (Organon Teknica, Durham, North Carolina, USA) for all HIV-positive participants.

Back to Top | Article Outline
Predictor variables

Our main predictor variable was HAART use. We used self-reported data on antiretroviral medication use to construct the HAART use variable according to published treatment guidelines issued by the United States Department of Health and Human Services [30-33] and the International AIDS Society-USA [34-36] during the study period. In order to capture the broad range of regimens in use during the study period we constructed our HAART variable to include regimens listed as 'recommended' or 'under evaluation' in the year 2000 treatment guidelines [33,36]. Specifically, we defined HAART as: two or more nucleoside reverse transcriptase inhibitors (NRTI) plus one or two protease inhibitors (PI); two or more NRTI plus one non-nucleoside reverse transcriptase inhibitor (NNRTI); one NRTI with at least one PI and one NNRTI; three NRTI if one of them was abacavir. Regimens in which the two NRTI consisted of zidovudine plus stavudine were not considered HAART. At each WIHS study visit we characterized participants as either: never having received HAART (`HAART-naive'); having received HAART during the 12- 6-month interval prior to the visit (`HAART'); or not having received HAART during the 12-6- month interval prior to the study visit, but having used HAART prior to that interval (`HAART- discontinued').

Back to Top | Article Outline
Outcome variables

We examined three healthcare utilization outcomes: primary care visits, emergency room visits and hospitalizations. Primary care visits were defined as outpatient visits with the provider that the participant consulted for over 50% of their medical care (excluding providers in an emergency room or jail). Because the distribution of the number of healthcare visits was highly skewed (few had a large number of visits), and because the distribution had an unduly preponderance of zeros (making standard Poisson methods unsuitable), we elected to simplify the analysis by dichotomizing the outcome measures as follows: ≤ 3 versus > 3 primary care visits; ≤ 1 versus > 1 emergency room visits; and ≤ 1 versus > 1 hospitalization, all scaled to represent the number of healthcare visits per 6-month interval.

Back to Top | Article Outline
Statistical analyses

Using person-visits as the units of analyses, we performed multivariate logistic regression analyses to identify the effect of HAART use on subsequent healthcare utilization. For the HIV-positive women, we used six indicator variables to describe HAART use status (as described under Predictor Variables) and clinical status [without an AIDS clinical diagnosis (`HIV+') versus with an AIDS clinical diagnosis (`AIDS')] as follows: HIV+, HAART-naive; HIV+, HAART; HIV+, HAART-discontinued; AIDS, HAART-naive; AIDS, HAART; AIDS, HAART-discontinued. HIV-negative women served as the reference category. To adjust for the correlation of repeated measurements encountered in the longitudinal data, we derived estimates and 95% confidence intervals (CI) for each subgroup using the SAS GENMOD procedure with generalized estimating equations (SAS Institute, Cary, North Carolina, USA).

Since both CD4 cell count and HIV RNA help determine when HAART is initiated, we adjusted for them as confounding variables in our analyses. We transformed CD4 cell counts and HIV RNA measurements so we could make meaningful comparisons of healthcare utilization across our subgroups. Specifically, for HIV+ women without AIDS we rescaled the CD4 cell count variable as (CD4-350)/100 and the HIV RNA variable as log10(HIV RNA/10 000); for those women with AIDS we rescaled CD4 cell count as (CD4-150)/100 and HIV RNA as log10(HIV RNA/50 000). For HIV-negative women (for whom CD4 cell count and HIV RNA are irrelevant) we did not include their effect in the model. The limits of detection for HIV RNA improved during the study period, therefore we used the highest level of detection (4000 copies/ml) to standardize HIV RNA measurements. To examine the effect of HAART on heath care service use by selected demographic characteristics we stratified the study population by race/ethnicity, insurance and employment status.

Among HAART users we assessed only healthcare utilization that occurred after HAART initiation was reported to ascribe to the epidemiologic principle of exposure (HAART use) preceding the outcome of interest (frequency of healthcare visits). Furthermore, we assessed healthcare utilization that occurred at least 1 year after HAART initiation to exclude measurements of transient increases in healthcare utilization frequently associated with HAART initiation. Since CD4 cell count and HIV RNA are both directly affected as a result of HAART, it would have been inappropriate to update the time-dependent covariates after HAART initiation. Rather, we used the measures obtained at the last 'pre-HAART' WIHS study visit, i.e., the study visit that preceded the one at which HAART initiation was reported. In summary, each record for the analysis was based on data collected at three consecutive WIHS study visits. Specifically, laboratory markers were taken from study visit one of three for HAART-naive individuals and from the last pre-HAART visit for HAART-experienced individuals, HAART use was based on study visit two of three, and healthcare service use was based on study visit three of three.

We also performed an analysis using a population-based approach to asses the robustness of our main findings. Specifically, we evaluated the overall proportion of participants reporting each of the three health service use outcomes over time. The study period for this analysis (October 1995-March 2000) was divided into four calendar periods based on the proportion of respondents reporting having ever used HAART: low HAART-use era during which only 4% of the study cohort used HAART (October 1995-September 1996); moderate HAART-use era during which the prevalence of HAART use increased to 17% (October 1996-March 1997); early high HAART-use era during which HAART became the most common regimen at 59% (April 1997-September 1998); and established high HAART-use era during which 74% of the study cohort reported HAART use (October 1998-March 2000).

Back to Top | Article Outline

Results

Demographics

Out of 2628 total women who enrolled in the WIHS, there were 2001 (76%) seen during the period for this analysis-April 1997 to March 2000. Of these, we excluded 240 (21%) women who became pregnant and nine women who seroconverted during the study period. We excluded an additional 267 women due to missing data for key variables. Thus we analyzed data for 1485 women (57% of the original cohort) who contributed a total of 5603 person-visits (i.e., study participants' contribution of semi-annual WIHS study visits).

Table 1 presents a summary of demographic characteristics of our study population using person-visits as the unit of analysis. African-Americans and Latinas comprised over 75% of our study population across all subgroups, reflective of the epidemiology of HIV/AIDS among women in the USA [37]. The median age ranged from 39.8 to 41.8 years. Employment rates were low overall, ranging from 17.7% to 43.6%.

Table 1
Table 1
Image Tools

Within a particular disease-stage subgroup the distribution of demographic characteristics varied by HAART status (Table 1). For example, within the HIV+ group (i.e., without AIDS), those who were HAART-naive were more likely to be African-American (61.9%) than were either HAART users (46.0%; P < 0.001) or HAART discontinuers (45.1%; P = 0.002). Also within the HIV+ group, HAART-naive women were less likely to be Latina (20.7%) than were HAART users (30.6%; P = 0.007) or HAART discontinuers (39.0%; P < 0.001). These differences in racial/ethnic distribution by HAART-use category were not as pronounced among women with AIDS (Table 1). Overall insurance rates did not vary by HAART-use category (Table 1), though the specific type of insurance did. For example, among women without AIDS, HAART users were more likely to have private insurance (33.2%) than were either HAART-naive women (24.3%; P = 0.028) or HAART-discontinuers (23.3%; P = 0.034). Among women with AIDS, HAART users were more likely to have private insurance (18.6%) than HAART-naive women (8.9%; P = 0.004). Furthermore, HAART users were more likely to have other types of insurance (19.4%) than were HAART-naive women (10.6%; P = 0.004) or HAART discontinuers (10.3%; P = 0.014). Within both the HIV+ and the AIDS groups, employment levels were higher among HAART users compared with women in other HAART-use categories (Table 1). HIV-negative women were the most likely of all groups to be employed (43.6%), but the least likely to be insured (39.3%). The distribution of race/ethnicity among HIV-negative women was similar to that among HAART-naive women with and without AIDS (Table 1).

Back to Top | Article Outline
Distribution of healthcare visits

Overall, the proportion of women reporting over three primary care visits per 6 months was 42%, with a range of 21.0% among HIV-negative women to 66.1% among women with AIDS who had discontinued HAART (Table 2).

Table 2
Table 2
Image Tools

Overall, 12.1% of the cohort reported having over one emergency room visits per 6 months, with a range of 8.3% among HIV+ HAART users to 18.7% among women with AIDS who were HAART-naive (Table 2). Nine percent of our study population reported over one hospitalization per 6 months, with a range from 5.0% among HIV-negative women to 17.6% among women with AIDS who had discontinued HAART (Table 2).

Back to Top | Article Outline
Association between HAART use and healthcare utilization: results of individual analytic approach

The results of logistic regression analyses modeling the effect of HAART on healthcare service use are represented in Table 3. As the 95% CI for the odds ratios (OR) obtained for the HIV+ group (non-AIDS) overlapped substantially with the corresponding 95% CI for the AIDS group, we pooled the effects of HAART for the HIV+ and the AIDS groups to arrive at a summary measure (Table 3). Compared with HAART naivety, both HAART use (OR, 1.38; 95% CI, 1.16-1.65) and HAART discontinuation (OR, 1.57; 95% CI, 1.26-1.97) were associated with a higher probability of more than three primary care visits per 6 months. In contrast, HAART use was associated with a lower probability of more than one emergency room visit (OR, 0.75; 95% CI, 0.59-0.95) and a lower probability of more than one hospitalization per 6 months (OR, 0.67; 95% CI, 0.51-0.88), compared with HAART naivety. We did not observe a statistically significant reduction in either emergency room use or hospitalization among women who had discontinued HAART.

Table 3
Table 3
Image Tools

To depict graphically the influence of HAART on healthcare use based on our data, in Fig. 1 we standardized the population of HIV+ women to a CD4 cell count of 350 Ă— 106/l and an HIV RNA load of 10 000 copies/ml, and standardized the population of women with AIDS to a CD4 cell count of 150 Ă— 106/l and an HIV RNA load of 50 000 copies/ml (with HIV-negative women as the reference group). The graphical presentation of this logistic regression model illustrates three main findings. First, within the HIV+ group (without AIDS), HAART use is associated with very low levels of predicted emergency room use and hospital use-equivalent to levels of service use predicted among HIV-negative women (Fig. 1). Second, discontinued HAART within this group is associated only with lower emergency room use (the probability of more than one hospitalization was similar to that predicted among HAART-naive women). Third, within the AIDS group, levels of utilization of all three health services remain well elevated above those predicted for the reference group (HIV-negative women) regardless of HAART use category.

Fig. 1
Fig. 1
Image Tools

In Table 4 we present results of analyses stratified by key potential confounders as follows: four insurance/employment strata (unemployed uninsured, unemployed insured, employed uninsured, employed insured) and three race/ethnicity strata (African-American, Latina, white). Within all subgroups HAART use was associated with a higher probability of frequent primary care visits (Table 4). Within the insurance/employment strata the magnitude of association between HAART use and primary care visits was strongest among the unemployed uninsured women (OR, 2.95; 95% CI, 1.79-4.48), followed by the employed insured (OR, 1.67; 95% CI, 1.18-2.36), and the unemployed insured (OR, 1.30; 95% CI, 1.04-1.62). Within the race/ethnicity strata the magnitude of association was similar for the Latina subgroup (OR, 1.43; 95% CI, 1.02-2.02) and the African-American subgroup (OR, 1.43; 95% CI, 1.12-1.81). We observed a similar pattern among women who discontinued HAART (Table 4).

Table 4
Table 4
Image Tools

Stratification by insurance/employment status and race/ethnicity yielded a more complex picture of the associations between HAART use and either emergency room use or hospitalizations. Among unemployed insured women, HAART users (OR, 0.76; 95% CI, 0.57-1.00) and HAART discontinuers (OR, 0.66; 95% CI, 0.45-0.97) were less likely to have more than one emergency room visit per 6 months than were HAART-naive women. With respect to hospitalizations, HAART use was associated with a lower probability of more than one hospitalization among unemployed insured women (OR, 0.66; 95% CI, 0.48-0.90). In contrast, discontinued HAART was associated with a higher probability of more than one hospitalization among employed insured women (OR, 2.96; 95% CI, 1.35-6.48), and white women (OR, 2.41; 95% CI, 1.15-5.07).

Back to Top | Article Outline
Association between HAART use and healthcare utilization: results of population-based analytic approach

Results of the population-based approach were concordant with the results of the individual logistic regression models with respect to both emergency room visits and hospitalizations. We did not detect an association between HAART-use era and the proportion of women reporting more than three primary care visits.

Compared with emergency room use during the low HAART-use era, a lower proportion of HIV+ women without AIDS reported more than one emergency room visit per 6 months in the moderate HAART-use era (OR, 0.70; 95% CI, 0.53-0.93), the early high HAART-use era (OR, 0.75; 95% CI, 0.61-0.92) and the established high HAART-use era (OR, 0.79; 95% CI, 0.64-0.98). We found similar patterns of results among women who developed incident AIDS during the study, and women who had AIDS at the baseline study visit. Among women with incident AIDS, the reduction in emergency service use reached statistical significance only in the established HAART-use era (OR, 0.61; 95% CI, 0.39-0.96). Among women with AIDS at baseline, the proportion with emergency service use was significantly lower in the moderate HAART-use era (OR, 0.71; 95% CI, 0.54-0.93) and the early high HAART-use era (OR, 0.78; 95% CI, 0.62-0.98).

A lower proportion of women reported more than one hospitalization per 6 months as HAART prevalence increased over time, however these associations reached statistical significance only in the established high HAART-use era (compared with the low HAART-use era) among HIV+ women without AIDS (OR, 0.69; 95% CI, 0.54-0.88), and in both the moderate HAART-use era (OR, 0.51; 95% CI, 0.37-0.71) and the established high HAART-use era (OR, 0.70; 95% CI, 0.54-0.92) among women with AIDS at the baseline visit.

We did not observe any changes over time in health services use among HIV-negative women.

Back to Top | Article Outline

Discussion

We explored the association between HAART and utilization of healthcare services. Our study has at least four important aspects. First, the WIHS is an ongoing large epidemiological cohort study and therefore has had time to accumulate experience that extends beyond the phase of early HAART introduction. The availability of data collected several years after the introduction of HAART is important as some earlier ecologic studies suggested that there might be a slowing or reversing of the initial decreases in hospitalization rates observed after the introduction of HAART [20,22]. A second important aspect of our study is that we were able to model the impact of HAART use on healthcare service use relative to that of a comparison group of HIV-negative women enrolled in the WIHS. Third, to the best of our knowledge ours is the first report that specifically explores the relationship between HAART discontinuation (as distinct from the effect of HAART use) and the frequency of health service use among HIV-infected adults in the USA. As a proportion of treated individuals discontinue HAART (e.g., because of side effects, drug-drug interactions, virologic failure, drug holidays, etc.) it is important to study the health utilization patterns of this group. While our study did not permit analyses of subgroups of discontinuers by reason for discontinuation, it does offer some insights as to the healthcare use patterns in the group as a whole. Lastly, we present findings from two complementary analytic approaches, an individual approach and a population-based approach. Each analytic approach has its own strengths and limitations, and the similar results yielded by the two approaches suggest that our findings are robust.

We found that women who were receiving HAART or who had discontinued HAART were more likely to report more than three primary care visits than were women who were HAART naive. These associations were observed across multiple insurance/employment strata and ethnic strata. We do not feel that this association reflects higher background use of primary care services among women who eventually used HAART because the proportion of women with one to three primary care visits per 6 months among HAART-naive women was similar to that among HAART users (Table 2).

Several studies have taken a population-based (ecological) approach to evaluating outpatient visits [11,12] and/or costs [12,15,17,20,21] as an outcome of HAART. The results from these reports have been conflicting. For example, a study conducted at a private hospital in New York City showed a 33% increase in outpatient visits made by HIV-positive patients from 1995 to 1996 [11]. Outpatient visits as defined in this study included multiple visit types (such as HIV counseling and testing) [11] and therefore it was difficult to draw conclusions about the trajectory of primary care use from these results. In contrast to the New York Study [11], a study of the Dallas (Texas) Veterans Affairs Medical Center found that number of HIV clinic visits per 100 HIV patients seen decreased by about 28% between 1995 and 1997 [12]. A report from a national probability sample of HIV-infected adults in medical care in the USA found that outpatient costs decreased between 1996 and 1998 [20]. In a response to a Letter to the Editor [38], however, the authors provided additional information that 'outpatient costs' as presented in the original paper represented the net costs of routine outpatient care (which had actually increased) combined with emergency department care (which had decreased) [39]. One study of healthcare use in 1999 found that non-use of HAART was associated with higher outpatient utilization (excluding emergency room use) in a multivariate analyses [23].

Several ecologic studies found hospitalization rates and/or costs decreased over time soon after the introduction of HAART [11-17,20,22,23]. A limited number of studies compared HAART users to non-users; investigators at the Johns Hopkins University AIDS Service [21,22] and within the HIV Research Network [23] found that HAART use was associated with decreased hospital use.

With respect to emergency room visits, investigators from ecological studies at the Dallas Veterans Affairs Medical Center found that emergency room visits declined after the introduction of HAART [12,15].

In our study, the proportion of HAART users reporting over one emergency room visit per 6 months was lower than that among HAART-naive women, as was the proportion of HAART users reporting more than one hospitalization per 6 months. Of note, discontinuation of HAART was not associated with a reduction in emergency room use or hospitalization. Indeed, among the employed insured subgroup and the white subgroup, discontinued HAART was associated with a statistically significant increase in the probability of more than one hospitalization (compared with HAART naivety). We speculate that employed women may not be as easily able to schedule routine or urgent visits during business hours, and therefore management of HAART complications may require emergency room or hospital services. Future studies may collect data that permit testing of this hypothesis.

Although a large ethnically and geographically diverse cohort, the WIHS is limited to adult women and therefore may have limited generalizability to some HIV-infected subpopulations. However, unlike recruitment for the only national probability cohort of HIV-infected adults in the USA (which was exclusively among persons with regular medical care) [40], the WIHS captured women who were outside of medical care systems and therefore may be more representative of certain subpopulations of HIV-infected persons. Another limitation of our study is that we do not use data on medication adherence throughout this study, therefore persons classified as 'HAART users' may or may not have been taking these medications consistently. This misclassification however, would have tended to bias us toward the null, and therefore the associations we found between HAART use and healthcare utilization are likely to be underestimated in this report. We do not have detailed information regarding the reasons for discontinuation of HAART among study participants. In terms of what is currently understood about the pharmacological effects of HAART, either discontinuation because of side effects or discontinuation due to resistance might be expected to eventually result in clinical deterioration (the former due to removal of viral suppression, the latter due to failure to achieve/sustain viral suppression). Thus, we feel our ability to assess the effects of HAART discontinuation on subsequent healthcare utilization is not substantially hindered by the inability to determine reasons for HAART discontinuation.

Results of earlier studies examining temporal trends have been intriguing and suggested that close attention to the long-term 'post-HAART' era is warranted. Our study supports the hypothesis that the decrease in use of emergency room and inpatient hospital services is attributable to HAART. Our findings suggest that HAART users continue to enjoy this benefit (compared with the HAART-naive) several years into the HAART era. Furthermore, our study provides evidence that this reduction in hospitalization and emergency room use is not sustained in persons who discontinue HAART use.

Back to Top | Article Outline

Acknowledgements

We thank T. Yamashita and S. Cole for discussions regarding the data analysis methods.

Sponsorship: The WIHS is funded by the National Institute of Allergy and Infectious Diseases, with supplemental funding from the National Cancer Institute, the National Institute of Child Health & Human Development, The National Institute on Drug Abuse, and the National Institute of Craniofacial and Dental Research. U01-AI-35004, U01-AI-31834, U01-AI-34994, U01-AI-34989, U01-HD-32632 (NICHD), U01-AI-34993, U01-AI-42590, M01-RR00079, M01-RR00083.

Back to Top | Article Outline

References

1. Sulkowski MS, Thomas DL, Chaisson RE, Moore RD. Hepatotoxicity associated with antiretroviral therapy in adults infected with human immunodeficiency virus and the role of hepatitis C or B virus infection. JAMA 2000, 283:74-80.

2. Sulkowski MS, Thomas DL, Mehta SH, Chaisson RE, Moore RD. Hepatotoxicity associated with nevirapine or efavirenz-containing antiretroviral therapy: role of hepatitis C and B infections. Hepatology 2002, 35:182-189.

3. Carr A, Samaras K, Burton S, Law M, Freund J, Chisholm DJ, et al. A syndrome of peripheral lipodystrophy, hyperlipidaemia and insulin resistance in patients receiving HIV protease inhibitors. AIDS 1998, 12:F51-F58.

4. Behrens G, Dejam A, Schmidt H, Balks HJ, Brabant G, Korner T, et al. Impaired glucose tolerance, beta cell function and lipid metabolism in HIV patients under treatment with protease inhibitors. AIDS 1999, 13:F63-F70.

5. Mulligan K, Grunfeld C, Tai VW, Algren H, Pang M, Chernoff DN, et al. Hyperlipidemia and insulin resistance are induced by protease inhibitors independent of changes in body composition in patients with HIV infection. J Acquir Immune Defic Syndr 2000, 23:35-43.

6. Tsiodras S, Mantzoros C, Hammer S, Samore M. Effects of protease inhibitors on hyperglycemia, hyperlipidemia, and lipodystrophy: a 5-year cohort study. Arch Intern Med 2000, 160:2050-2056.

7. Lonergan JT, Behling C, Pfander H, Hassanein TI, Mathews WC. Hyperlactatemia and hepatic abnormalities in 10 human immunodeficiency virus-infected patients receiving nucleoside analogue combination regimens. Clin Infect Dis 2000, 31: 162-166.

8. Carr A, Miller J, Law M, Cooper DA. A syndrome of lipoatrophy, lactic acidaemia and liver dysfunction associated with HIV nucleoside analogue therapy: contribution to protease inhibitor-related lipodystrophy syndrome. AIDS 2000, 14:F25-32.

9. John M, Moore CB, James IR, Nolan D, Upton RP, McKinnon EJ, et al. Chronic hyperlactatemia in HIV-infected patients taking antiretroviral therapy. AIDS 2001, 15:717-723.

10. Graham NM. Metabolic disorders among HIV-infected patients treated with protease inhibitors: a review. J Acquir Immune Defic Syndr 2000, 25(Suppl 1):S4-S11.

11. Torres RA, Barr M. Impact of combination therapy for HIV infection on inpatient census. N Engl J Med 1997, 336: 1531-1532.

12. Keiser P, Kvanli MB, Turner D, Reisch J, Smith JW, Nassar N, et al. Protease inhibitor-based therapy is associated with decreased HIV-related health care costs in men treated at a Veterans Administration hospital. J Acquir Immune Def Syndr Hum Retrovirol 1999, 20:28-33.

13. Paul S, Gilbert HM, Ziecheck W, Jacobs J, Sepkowitz KA. The impact of potent antiretroviral therapy on the characteristics of hospitalized patients with HIV infection. AIDS 1999, 13: 415-418.

14. Fleishman JA, Hellinger FJ. Trends in HIV-related inpatient admissions from 1993 to 1997: a seven-state study. J Acquir Immune Defic Syndr 2001, 28:73-80.

15. Keiser P, Nassar N, Kvanli MB, Turner D, Smith JW, Skiest D. Long-term impact of highly active antiretroviral therapy on HIV-related health care costs. J Acquir Immune Defic Syndr 2001, 27:14-19.

16. Paul S, Gilbert HM, Lande L, et al. Impact of antiretroviral therapy on decreasing hospitalization rates of HIV-infected patients in 2001. AIDS Res Hum Retroviruses 2002, 18: 501-506.

17. Mole L, Ockrim K, Holodniy M. Decreased medical expenditures for care of HIV-seropositive patients. The impact of highly active antiretroviral therapy at a US Veterans Affairs Medical Center. Pharmacoeconomics 1999, 16:307-315.

18. Lapins DL, Urdaneta ME, Barrett J, Hamel EC, Duong PT, Markson LE. Costs of care for HIV infection in a managed care population from 1995 to 1997. Am J Manag Care 2000, 6: 973-981.

19. Bidwell Goetz M, Morreale AP, Rhew DC, Berman S, Ing M, Eldridge D, et al. Effect of highly active antiretroviral therapy on outcomes in Veterans Affairs Medical Centers. AIDS 2001, 15:530-532.

20. Bozzette SA, Joyce G, McCaffrey DF, Leibowitz AA, Morton SC, Berry SH, et al. Expenditures for the care of HIV-infected patients in the era of highly active antiretroviral therapy. N Engl J Med 2001, 344:817-823.

21. Gebo KA, Chaisson RE, Folkemer JG, Bartlett JG, Moore RD. Costs of HIV medical care in the era of highly active antiretroviral therapy. AIDS 1999, 13:963-969.

22. Gebo KA, Diener-West M, Moore RD. Hospitalization rates in an urban cohort after the introduction of highly active antiretroviral therapy. J Acquir Immune Defic Syndr 2001, 27:143-152.

23. Hospital and outpatient health services utilization among HIV-infected patients in care in 1999. J Acquir Immune Defic Syndr 2002, 30:21-26.

24. Barkan SE, Melnick SL, Preston-Martin S, Weber K, Kalish LA, Miotti P, et al. The Women's Interagency HIV Study. WIHS Collaborative Study Group. Epidemiology 1998, 9:117-125.

25. Munoz A, Gange SJ, Jacobson LP. Distinguishing efficacy, individual effectiveness, and population effectiveness of therapies. AIDS 2000, 14:754-756.

26. Ahdieh L, Gange SJ, Greenblatt R, Minkoff H, Anastos K, Young M, et al. Selection by indication of potent antiretroviral therapy use in a large cohort of women infected with human immunodeficiency virus. Am J Epidemiol 2000, 152:923-933.

27. Cook JA, Cohen MH, Grey D, Kirstein L, Burke J, Anastos K, et al. Use of highly active antiretroviral therapy in a cohort of HIV-seropositive women. Am J Public Health 2002, 92:82-87.

28. Centers for Disease Control and Prevention: 1993 revised classification system for HIV infection and expanded surveillance case definition for AIDS among adolescents and adults. MMWR 1992, 41:1-19.

29. Hessol NA, Schwarcz S, Ameli N, Oliver G, Greenblatt RM. Accuracy of self-reports of acquired immunodeficiency syndrome and acquired immunodeficiency syndrome-related conditions in women. Am J Epidemiol 2001, 153:1128-1133.

30. Department of Health and Human Services and Henry J. Kaiser Family Foundation. Panel on Clinical Practices for Treatment of HIV Infection. Guidelines for the Use of Antiretroviral Agents in HIV-Infected Adults and Adolescents.1998 (June):1-54.

31. Panel on Clinical Practices for Treatment of HIV Infection. Guidelines for the use of antiretroviral agents in HIV-infected adults and adolescents. Department of Health and Human Services and Henry J. Kaiser Family Foundation; 1998 (December):1-50.

32. Panel on Clinical Practices for Treatment of HIV Infection. Guidelines for the use of antiretroviral agents in HIV-infected adults and adolescents. Department of Health and Human Services and Henry J. Kaiser Family Foundation; 1999 (May):1-52.

33. Panel on Clinical Practices for Treatment of HIV Infection. Guidelines for the use of antiretroviral agents in HIV-infected adults and adolescents. January ed: Department of Health and Human Services and Henry J. Kaiser Family Foundation; 2000:1-101.

34. Carpenter CC, Fischl MA, Hammer SM, Hirsch MS, Jacobsen DM, Katzenstein DA, et al. Antiretroviral therapy for HIV infection in 1997. Updated recommendations of the International AIDS Society-USA panel. JAMA 1997, 277:1962-1969.

35. Carpenter CC, Fischl MA, Hammer SM, Hirsch MS, Jacobsen DM, Katzenstein DA, et al. Antiretroviral therapy for HIV infection in 1998: updated recommendations of the International AIDS Society-USA Panel. JAMA 1998, 280:78-86.

36. Carpenter CC, Cooper DA, Fischl MA, Gatell JM, Gazzard BG, Hammer SM, et al. Antiretroviral therapy in adults: updated recommendations of the International AIDS Society-USA Panel. JAMA 2000, 283:381-390.

37. Centers for Disease Control and Prevention. HIV/AIDS Surveillance Report: U.S. HIV and AIDS Cases Reported Through December 2000. Atlanta: CDC; 2000:1-48.

38. Kahn JG. Expenditures for the care of patients with HIV [correspondence]. N Engl J Med 2001, 344:1948-1949.

39. Bozzette SA, Joyce G, McCaffrey DF. Expenditures for the care of patients with HV [correspondence]. N Engl J Med 2001, 344:1948-1949.

40. Frankel MR, Shapiro MF, Duan N, Morton SC, Berry SH, Brown JA, et al. National probability samples in studies of low-prevalence diseases. Part II: Designing and implementing the HIV cost and services utilization study sample. Health Serv Res 1999, 34:969-992.

Back to Top | Article Outline
Appendix

Data in this manuscript were collected by the Women's Interagency HIV Study (WIHS) Collaborative Study Group with centers (Principal Investigators) at New York City/Bronx Consortium (K. Anastos); Brooklyn, NY (H. Minkoff); Washington DC Metropolitan Consortium (M. Young); The Connie Wofsy Study Consortium of Northern California (R. Greenblatt, P. Tien); Los Angeles County/Southern California Consortium (A. Levine); Chicago Consortium (M. Cohen); Data Coordinating Center (S. J. Gange). Cited Here...

Cited By:

This article has been cited 5 time(s).

Hiv Medicine
Emergency department utilization among HIV-infected patients in a multisite multistate study*
Josephs, JS; Fleishman, JA; Korthuis, PT; Moore, RD; Gebo, KA
Hiv Medicine, 11(1): 74-84.
10.1111/j.1468-1293.2009.00748.x
CrossRef
AIDS
Late presenters in the era of highly active antiretroviral therapy: uptake of and responses to antiretroviral therapy
Sabin, CA; Smith, CJ; Gumley, H; Murphy, G; Lampe, FC; Phillips, AN; Prinz, B; Youle, M; Johnson, MA
AIDS, 18(): 2145-2151.

Bmc Health Services Research
Healthcare utilization of patients accessing an African national treatment program
Harling, G; Orrell, C; Wood, R
Bmc Health Services Research, 7(): -.
ARTN 80
CrossRef
Clinical and Diagnostic Laboratory Immunology
The Women's Interagency HIV Study: an observational cohort brings clinical sciences to the bench
Bacon, MC; von Wyl, V; Alden, C; Sharp, G; Robison, E; Hessol, N; Gange, S; Barranday, Y; Holman, S; Weber, K; Young, MA
Clinical and Diagnostic Laboratory Immunology, 12(9): 1013-1019.
10.1128/CDLI.12.9.1013-1019.2005
CrossRef
JAIDS Journal of Acquired Immune Deficiency Syndromes
The Occurrence of Vaginal Infections Among HIV-Infected and High-Risk HIV-Uninfected Women: Longitudinal Findings of the Women's Interagency HIV Study
Watts, DH; Springer, G; Minkoff, H; Hillier, SL; Jacobson, L; Moxley, M; Justman, J; Cejtin, H; O'Connell, C; Greenblatt, RM
JAIDS Journal of Acquired Immune Deficiency Syndromes, 43(2): 161-168.
10.1097/01.qai.0000242448.90026.13
PDF (371) | CrossRef
Back to Top | Article Outline
Keywords:

HAART; HIV; healthcare; antiretroviral therapy

© 2004 Lippincott Williams & Wilkins, Inc.

Login




Help

Forgot Password?

Search for Similar Articles
You may search for similar articles that contain these same keywords or you may modify the keyword list to augment your search.