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Published in final edited form as:
J Acquir Immune Defic Syndr. 2013 November 1; 64(0 1): . doi:10.1097/QAI.0b013e3182a90167.
Scaling up routine HIV testing at specialty clinics: Assessing the
effectiveness of an academic detailing approach
Ronald J. Lubelchek, MD,
Ruth M. Rothstein CORE Center, Division of Infectious Diseases, John H. Stroger, Jr. Hospital of
Cook County, Assistant Professor, Department of Medicine, Rush University Medical Center,
2020 W. Harrison, Chicago, IL 60612, Phone: 312-572-4739, FAX: 312-572-4718
Anna L. Hotton, PhD, MPH,
Chicago Developmental Center for AIDS Research (D-CFAR), Women’s Interagency HIV Study,
Chicago Consortium, John H. Stroger Jr. Hospital of Cook County, Division of Infectious Diseases
Daniel Taussig, MA,
Ruth M. Rothstein CORE Center, Department of Prevention and Education
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David Amarathithada, MPH, and
Chicago Department of Public Health, STI/HIV Services Division
Marisol Gonzalez, RN, MPH
Ruth M. Rothestein CORE Center, Department of Prevention and Education
Ronald J. Lubelchek:
[email protected]; Anna L. Hotton:
[email protected]; Daniel Taussig:
[email protected]; David Amarathithada:
[email protected]; Marisol Gonzalez:
[email protected]
Abstract
Introduction—Scaling up routine HIV testing represents a key component of the National HIV/
AIDS Strategy. Barriers to routine HIV testing have limited widespread adoption. While many
patients visit specialty care providers, few efforts to increase routine HIV testing in specialty care
settings have been made. We report on use of a survey of barriers to routine testing, coupled with
academic detailing-type educational sessions to increase routine testing at specialty clinics in
Chicago’s main safety-net health system.
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Methods—We devised a survey to assess specialty provider knowledge, attitudes and barriers to
routine HIV testing. We administered this at three specialty clinics. Each clinic’s survey responses
informed content for academic detailing-type presentations to each clinic’s medical providers. We
provide descriptive statistics summarizing survey responses. We report changes in the HIV testing
rates and use logistic regression to examine associations between time period and odds of testing
at each clinic.
Correspondence to: Ronald J. Lubelchek,
[email protected].
Preliminary data from this manuscript was presented at the November 19, 2012 CFAR/ECHPP Working Group meeting held in
Washington, D.C.
Conflicts of interest and Funding sources:
The authors have no conflicts of interest to declare. This research was supported by the Chicago Developmental Center for AIDS
Research (D-CFAR), an NIH funded program (P30 AI 082151), which is supported by the following NIH Institutes and Centers:
NIAID, NCI, NIMH, NIDA, NICHD, NHLBI, NCCAM. This work was also supported by a NIH CFAR supplemental grant awarded
to the DC Developmental Center for AIDS Research (PI Alan Greenberg, award number 5P30A1087714) for the Enhanced
Comprehensive HIV Prevention Planning Initiative (CFAR ECHPP Initiative). with the Chicago DCFAR serving as a partnering substudy site (site-PI Alan Landay, sub-award number 11-M72).
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Results—Specialty clinic providers demonstrated varying knowledge regarding routine HIV
testing guidelines – with trauma providers having the least knowledge. Concerns regarding
arranging follow-up for patients with positive results was the most cited barrier to testing. Two of
the three specialty clinics experienced significant increases in routine HIV testing, while the third
specialty service, which utilizes more rotating residents, had down-trending routine testing rates.
Discussion—The increase in routine HIV testing in two of three specialty services suggests that
academic detailing-type interventions can improve routine testing uptake in public safety-net
specialty care settings and may represent a useful component to incorporate into system-wide
scale-up efforts.
Keywords
HIV testing; HIV epidemiology; HIV diagnostics
Introduction
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Despite the availability of both accurate HIV testing, along with highly effective antiretroviral therapy, rates of HIV incidence in the US failed to decline between 2006 and
20091. Of the estimated 1.1 million people living with HIV/AIDS (PLWHA) in the United
States (US), only approximately 25% have achieved the goal of virologic suppression2.
Evaluation of the HIV care cascade reveals missed opportunities for better care of PLWHA
at every level – diagnosis, linkage-to-care, engagement-in-care, receipt of anti-retroviral
therapy and virologic suppression. In response to these inadequate outcomes, the National
HIV/AIDS Strategy (NHAS) set out specific goals to decrease HIV incidence, improve
access and quality of care for PLWHA and reduce HIV-related health disparities3.
Scaling up routine HIV testing represents a key component to the NHAS3. Early HIV
diagnosis significantly decreases morbidity and mortality, yet, health systems employing
risk and symptom-based HIV testing often diagnose patients late, and only after repeated
encounters with the medical system4–9. Given the inadequate outcomes associated with risk
and symptom-based testing strategies, since 2006 the Centers for Disease Control and
Prevention (CDC) has recommended that all adults seeking medical care be routinely
offered HIV testing8. Despite the CDC’s routine HIV testing guidelines, almost 20% of
PLWHA nationally remain unaware of their HIV diagnosis10, 11.
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While efforts to implement routine HIV screening have enjoyed some success, barriers to
HIV testing have limited widespread implementation. A systematic literature search on
barriers to HIV testing uncovered 41 different barriers to testing, eight of which were
common across different venues (e.g. peri-natal vs. Emergency Departments vs. primary
care provider)9. Lack of knowledge/training was a commonly cited barrier, as were concerns
about having to disclose positive results and concern about patient follow-up9.
Though much of the effort to scale up routine HIV testing has focused on Emergency
Departments (ED) and primary care settings, many patient visits each year occur, nonprimary care/non-ED specialty care settings7, 12–16. Combined data from the National
Ambulatory Medical Care Survey and the National Hospital Ambulatory Survey conducted
in 2008 showed that of the 1.2 billion outpatient and/or ED visits, only 10% consisted of ED
visits vs. 90% occurring at physicians’ offices or hospital outpatient clinics17. While 55% of
the one billion outpatient office visits in 2010 occurred at primary care settings, patients
made the remaining 45% of office visits -- an estimated 450 million – to medical or surgical
specialty clinics18. So while many patients visit specialty care providers each year, few
efforts to augment routine HIV testing in specialty care settings have been made.
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Academic detailing has been a practice traditionally used by the pharmaceutical industry to
influence prescribing practices, but it has also been employed to improve the quality and
cost efficiency of clinical decision making19. Academic detailing can utilize needs
assessments associated with focused trainings during which experts supply medical
providers with information geared at changing provider behaviors19. Such practices have
been used to promote routine HIV testing in primary care settings7, 15, 20. Herein, we report
on an intervention, sponsored jointly by the Chicago Developmental Center for AIDS
Research (D-CFAR) and the Chicago Department of Public Health (CDPH), which
employed survey-based assessments of barriers to routine HIV testing, along with academic
detailing-type educational sessions to scale up routine HIV testing at specialty care clinics
associated with Chicago’s foremost safety-net health system.
Methods
In order to help fulfill the CDC’s Enhanced Comprehensive HIV Prevention Planning
(ECHPP) goals related to HIV testing, the Chicago D-CFAR, in conjunction with CDPH,
endeavored to increase rates of routine HIV testing via first employing a survey to assess
specialty care provider-level barriers to routine HIV testing, followed by carrying out
academic detailing-type educational sessions at chosen specialty clinics within the Cook
County Health and Hospital System (CCHHS).
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Setting
CCHHS provides safety-net care to approximately 500,000 unique patients annually in the
Chicago metropolitan area. Referrals to CCHHS specialty clinics come from patients seen at
the CCHHS hospitals Emergency Departments, inpatient services or from its Ambulatory
Community Health Network, which provides primary care to over 175,000 patients
annually. The specialty care clinics at the health system’s primary hospital experience in
excess of 200,000 patient visits each year.
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Program staff chose three specialty clinics on which to focus our intervention. We based our
specialty clinic selection on the presence of receptive and interested leadership at each of the
selected clinics, along with some data in the HIV literature suggesting that these clinical
settings may yield higher HIV seropositivity rates21, 22. The program worked with the
dermatology, psychiatry and trauma specialty clinics to scale up routine HIV testing. To
facilitate comparisons of HIV testing rates between clinics, the hematology clinic was
selected to serve as a control specialty clinic at which program staff did not carry out
interventions. We did not randomly assign clinics as intervention vs. control clinics, rather
we selected intervention clinics based on the presence of administrative support for such
efforts within each specific clinic.
Interventions
The project to increase routine testing at specialty clinics had two phases. For the first phase,
project staff, in conjunction with the University of Illinois at Chicago School of Public
Health Survey Research Lab, devised a survey to assess provider-level knowledge and
attitudes with respect to routine HIV testing. In addition, the survey sought to identify
provider-level barriers to routine HIV testing. Our survey utilized Likert scale ratings to
assess attitudes about routine HIV testing. It employed multiple choice questions to test
respondents’ basic knowledge regarding HIV testing performance characteristics and
guidelines. The survey made use of a pre-populated checklist of potential barriers/
facilitators, along with rank order options for each barrier listed, to gauge barriers to routine
HIV testing. The survey also used a similar checklist with a rank order option to elicit
information as to which trainings would be most useful to providers. The project’s HIV
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testing advisor (TA) administered the paper surveys to clinic providers during in-person
lunch meeting-based sessions at each of the project’s three specialty clinics (Dermatology,
Psychiatry, and Trauma) between April and May, 2012. The clinical lead physicians at each
specialty clinic encouraged attendance at the training sessions and those providers who
completed the surveys represent a convenience sample of clinicians who attended the
trainings. Following the in-person survey administration session at each intervention clinic,
the project’s TA made one additional attempt at each clinic to get providers who previously
had not completed the surveys to do so.
The project’s second phase consisted of using each clinic’s survey results to inform the
content of academic detailing-style presentations given by the project’s TA to the medical
staff at each clinic. The sessions focused on working with each clinic to overcome the key
barriers to routine HIV testing revealed by the survey. The TA, along with key project staff,
carried out these presentations between May through July, 2012.
Outcomes and analysis
For the first survey phase of the project, we report on basic descriptive statistics, describing
the survey responses from each clinic. In addition we report on key findings related to
provider level knowledge, and attitudes related to routine HIV testing, as well as
highlighting key barriers cited by specialty clinic survey respondents.
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For the project’s second academic detailing phase, we compared HIV testing rates at each of
the intervention specialty clinics with the testing rates at the hematology clinic, which
served as a control clinic, and compared testing before and after the implementation of the
intervention at each of these four clinics. We considered patients with no previous HIV test
result noted in our electronic medical record (EMR) as eligible for HIV testing and included
these patients in our analysis. We calculated the proportion of patients tested among the total
patients eligible for testing at each location by month, and evaluated trends in testing over
time with the Cochran-Armitage test for trend. We compared overall differences in the
proportion of patients tested at each clinic using Chi-Square tests. Our analysis considered
three distinct analytic periods: the pre-intervention period – January and February, 2012; the
intervention period – March through July, 2012; and post-intervention period – August and
September, 2012. At each clinic, we used logistic regression to determine whether the odds
of testing differed during the intervention and post-intervention periods compared to the preintervention period. We analyzed data using SAS Version 9.2 (SAS Institute, Cary, NC).
Results
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Phase 1 – specialty clinic survey results
We surveyed 43 specialty clinic providers regarding their knowledge and perceived barriers
related to routine HIV testing. Table 1 shows key characteristics of the specialty clinics and
the providers surveyed.
Knowledge of HIV testing guidelines—We asked all respondents to answer several
questions regarding their knowledge of the CDC’s 2006 HIV testing guidelines
recommending routine HIV testing for all adolescents and adults with unknown HIV status.
Ninety percent of dermatology clinic vs. 86% of psychiatry clinic vs. 42% of trauma service
respondents correctly answered the question regarding routine HIV testing guidelines (χ2=
9.10, p = 0.011).
Attitudes about HIV testing—Figure 1 summarizes survey respondents’ attitudes
regarding HIV testing, who rated their degree of confidence or level of agreement with the
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testing-related domains of discussing HIV testing, discussing positive HIV test results and
importance of offering routine HIV testing to all patients.
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Barriers to HIV testing—Table 2 summarizes the barriers to routine HIV testing revealed
by our survey of specialty clinic providers. The two most frequently cited reasons for not
offering routine HIV testing in the specialty clinics surveyed included: “I don’t know how to
arrange follow-up for positive patients” – cited by 33% of respondents, and “I’m not
confident the patient will return for results” – cited by 28% of respondents. The most
commonly noted administrative or structural barrier was, “I don’t have enough time to
explain HIV testing to patients,” noted by 30% of respondents. We also asked respondents
to rank potential barriers to routine HIV testing in the order of importance. Twenty-six
percent of respondents ranked, “I’m not confident the patient will return for results” as their
first or second chief reason for not offering routine HIV testing. Eight-five percent of
respondents ranked, “I don’t know how to link positive patients to care” as the top structural
or administrative barrier to routine HIV testing in their specialty care site.
Phase 2 – Academic detailing and its effects on routine HIV testing rates
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In 2012, from January through September, 507/5543 (9.2%) of the eligible patients were
routinely tested for HIV at the four specialty clinics (three intervention and 1 control).
Overall testing rates varied by clinic: from 15.6% (192/1229) at the dermatology clinic, to
10.8% (105/974), 4.6% (124/2718), and 13.8% (86/622), at the psychiatry, trauma and
hematology (control clinic) clinics respectively (chi-square p-value <0.001) (see Figure 2).
At baseline, testing was highest at the hematology (control) clinic (17.4%) followed by
trauma (11.6%), dermatology (8.2%), and psychiatry (7.7%). Trends over time in the
proportion of eligible patients tested varied by clinic; testing increased over time in the
dermatology and psychiatry clinics, remained relatively stable in the hematology (control)
clinic and decreased in the trauma clinic (see Figure 2). For the hematology (control) clinic,
the odds of routine testing were lower in the intervention (OR 0.69, 95% CI 0.41–1.17) and
post-intervention (OR 0.66, 95% CI 0.34–1.31) periods compared to the pre-intervention
period, though the differences were not statistically significant. In the dermatology clinic,
compared to the pre-intervention period, the odds of testing were 2.43 (95% CI 1.53–3.85)
and 2.57 (95% CI 1.51–4.36) times greater during the intervention and post-intervention
periods respectively. At the psychiatry clinic the odds of testing were significantly higher in
the post-intervention period (OR 2.36; 95% CI 1.30–4.30) compared to the pre-intervention
period. In the trauma clinic, the odds of testing were significantly lower during the
intervention (OR 0.23; 95% CI 0.15–0.35) and post-intervention (OR 0.27; 95% CI 0.17–
0.45) periods compared to the pre-intervention period.
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Discussion
These findings demonstrate that academic detailing-style educational sessions can enhance
rates of routine HIV testing for public safety-net health system specialty clinical services.
Both the dermatology and psychiatry clinics experienced significant increases in testing
rates over time, which were not seen at the control hematology clinic. In contrast, the trauma
service did not achieve an increase in its rate of routine HIV testing, despite similar
interventions.
The findings from our survey assessing specialty provider knowledge and attitudes
regarding routine testing may, in part, explain the different outcomes seen in the
dermatology and psychiatry clinics, compared to the trauma service. The trauma service
demonstrated the lowest degree of knowledge regarding national HIV testing
recommendations. Additionally, the survey demographics results reveal significant staffing
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differences between the trauma versus the other specialty services surveyed – with residents,
who rotate monthly, representing a majority of the providers for the trauma service versus
attending physicians comprising a majority in the psychiatry clinic. While the dermatology
is staffed primarily by residents, they are non-rotating dermatology residents who provide
year-long staffing for outpatient dermatology services. While the trauma service does have
attending physicians who provide non-rotating staffing supervision, an academic detailing
intervention based on one or two training sessions does not fulfill the training needs for a
service that experiences significant monthly staffing turnover.
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Our project has several important limitations. Interventions within complicated health
systems do not occur in a vacuum. Often multiple system related changes and interventions
which may impact an outcome such as HIV testing rates occur concurrently. Within the
CCHHS during the study period, inpatient and emergency medicine services, such as the
trauma service, transitioned to physician order entry (POE) via the EMR. As a part of the
POE implementation for inpatient and emergency services, the health system installed a
prompt to remind providers to order an HIV test23. This EMR order prompt served to
increase the pre-intervention testing rate for the trauma service. Interestingly, when the
trauma service attending physicians discovered that their service’s residents had been
ordering routine HIV testing due to the EMR prompt without a trauma service HIV testing
policy in place, the trauma service administration prohibited ongoing routine HIV testing on
the service, prior to a policy being formulated, and approved by the service’s leadership.
Despite our project’s attempt to coauthor and help implement a trauma service HIV testing
policy to facilitate routine testing; such a policy had not been implemented by the time this
project ended. This dynamic likely accounts for the trauma service’s down-trending HIV
testing rate.
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While the CDC released recommendations advocating routine HIV testing for all people
between the ages of 16–64 with unknown HIV status back in 2006, the imperative of fully
implementing these guidelines persists8. While there has been some decline in the rate of
PLWHA unaware of their diagnosis, recent surveillance data show that proportion still
stands at nearly 20%24. Achieving 2015 NHAS goals of decreasing HIV incidence, limiting
HIV transmission, increasing the proportion of PLWHA engaged in care and improving the
proportion of PLWHA who achieve virologic suppression, are all predicated upon reaching
the goal of raising the proportion of PLWHA aware of their diagnosis to 90%25. In their
analysis of projected costs and cost efficiencies related to reaching 2015 NHAS goals,
Holtgrave et al. demonstrated that to achieve the NHAS virologic suppression goals, the
only economically viable scenarios require that the rate of PLWHA aware of their diagnosis
needs to increase to the strategy’s stated goal of 90%26. These economic projections
underscore the importance of continuing emphasis on developing better strategies to scaleup routine HIV testing.
The poor response to training in the trauma clinic underscores the limitations of our training
approach which did not correspond to the needs of service that experiences monthly staffing
turnover. The lack of improved routine HIV testing rates in the trauma service, despite EMR
order prompts, also reveals the potential limitations of system/process-related interventions
to scale-up routine HIV testing. Despite these limitations, the significant increase in routine
HIV testing rates in two of the three intervention clinics/services does suggest that an
academic detailing-type intervention, which employs an initial needs assessment, followed
by focused trainings, can improve rates of routine HIV testing in public safety-net specialty
care settings and may represent a useful component to be incorporated into system-wide
interventions to scale up routine HIV testing.
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Acknowledgments
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This research was supported by the Chicago Developmental Center for AIDS Research (D-CFAR), an NIH funded
program (P30 AI 082151), which is supported by the following NIH Institutes and Centers: NIAID, NCI, NIMH,
NIDA, NICHD, NHLBI, NCCAM. This work was also supported by a NIH CFAR supplemental grant awarded to
the DC Developmental Center for AIDS Research (PI Alan Greenberg, award number 5P30A1087714) with the
Chicago DCFAR serving as a partnering sub-study site (site-PI Alan Landay, sub-award number 11-M72). In
addition, the authors would like to acknowledge to assistance of the Chicago D-CFAR social/behavioral core and
the University of Illinois at Chicago School of Public Health Survey Research Lab for their assistance in
formulating our HIV testing survey. We would also like to acknowledge and thank Luis Lira for his work as the
HIV testing advisor on this project. We thank all the specialty clinic providers who completed our surveys and
participated in the trainings, in addition to clinic leadership who facilitated the trainings at each clinical site.
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Figure 1. Specialty clinic provider HIV testing-related attitudes
5 = extremely confident/routine testing extremely important, 3 = moderately confident/
routine testing moderately important, 1 = not at all confident/routine testing not at all
important
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Figure 2. Proportion of eligible specialty clinic patients tested over time, by clinic
Pre-intevention period = Jan–Feb, 2012; Intervention period = March–July, 2012; Postintervention period = Aug–Sept, 2012
* p < 0.05 for proportion tested compared to pre-intervention period
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Table 1
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Trauma
Dermatology
Psychiatry
Totals
p-value
# surveyed/total providers staffing clinic (% surveyed)
26/28 (93%)
10/15 (67%)
7/9 (78%)
43/52 (83%)
0.09
Female/total surveyed (% female)
14/26 (54%)
6/10 (60%)
5/7 (71%)
25/43 (58%)
0.69
Attendings/attendings + residents surveyed (% attending)
3/26 (12%)
2/10 (20%)
6/7 (86%)
11/43 (26%)
< 0.001
13,000
NA*
NA
Approximate annual clinic census (patient visits)
5,700
20,000
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Characteristics of specialty clinics and providers surveyed
*
NA = not applicable
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Table 2
Specialty clinic providers reported barriers, and most desired trainings related to routine HIV testing
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Most frequently selected
responses:
Reasons for not testing?
Administrative or structural
barriers to testing?
Desired trainings?
33% -- I don’t know how
to arrange follow- up for
positive patients
30% -- I don’t have enough time to
explain HIV testing to patients
58% -- more info on HIV test consent
rules/policy
28% -- I’m not confident
the patient will return for
results
Highest ranked responses:
26% -- ranked 1st or 2nd:
I’m not confident the
patient will return for
results
58% -- more info on how to arrange
follow up for patients with positive
results
85% -- ranked 1st or 2nd: I don’t
know how to link positive patients to
care
83% -- ranked 1st or 2nd: more info
on how to arrange follow-up for
newly diagnosed
71% ranked 1st or 2nd: I don’t have
enough time to explain HIV testing
to patients
NIH-PA Author Manuscript
NIH-PA Author Manuscript
J Acquir Immune Defic Syndr. Author manuscript; available in PMC 2014 November 01.