Introduction

More than one million men and women are living with HIV in the United States (US). Despite the public health agenda focusing on awareness of risk and screening, one in seven individuals living with HIV are estimated to be unaware of their HIV positive status [1]. Awareness is critical to timely linkage to care, increased quality of life, extended life expectancy, and in particular, decreased transmission of infection [2]. In fact, those who are unaware of their status are responsible for 45% of new transmissions [3]. The literature reports the primary barriers to awareness of status include: (a) decreased logistical ability to access testing secondary to cost; (b) not knowing where to receive specialty care; (c) low risk perception; (d) concern that HIV testing reflects badly on the individual; (e) concern that health care providers would pass judgement; (f) concern that others in the community would find out testing occurred; (g) fear of the testing procedure; and (h) fear of the test result itself [4,5,6,7,8,9]. This study adds to the literature evaluating barriers to HIV testing by comparing patients’ perceptions of barriers with those of providers. Additionally, this study addresses the sociodemographic and cultural contexts that influence barriers to testing such as race, socioeconomic status, and geographic location [7].

The Southern US is disproportionately burdened with newly diagnosed HIV infection [10]. Fewer people living in the South are aware of their status and, consequently, individuals living with HIV in the South demonstrate a mortality rate three times higher than individuals living with HIV in the rest of the US [11]. Rural communities are particularly vulnerable to decreased awareness of status and linkage to care due to decreased health care infrastructure, higher levels of poverty, and higher levels of HIV-related stigma [11]. As a southern state, Alabama is considered highly rural with 82% of its counties meeting criteria for rurality. Alabama’s “Black Belt” region, which represents the highest poverty and unemployment rates in the state, carries 23% of the state’s HIV incidence while accounting for only 13% of Alabama’s population [12].

Prior to 2006, the Centers for Disease Control and Prevention (CDC) recommended routine HIV testing for all “high-risk” populations. Specific consent for HIV testing was required and pre-test counseling was heavily encouraged [13]. In 2006, CDC revised the guidelines to encourage universal screening of all patients 13–64 years of age and at least annually for patients at high risk. The consent normally provided to permit routine care would now be considered encompassing of consent for HIV testing and the emphasis on pre-test counseling was revoked. The guidelines’ recommendation of routine screening without separate consent came to be known as “opt-out” testing, as HIV tests should now be routinely ordered without a separate consent being sought. Providers are encouraged to order HIV testing in the same matter-of-fact manner as they would order any routine testing, proceeding unless the patient actively opts-out [14]. Implementation of the guidelines would identify patients before they present with advanced disease and reduce the incidence of inadvertent transmission secondary to lack of awareness. Currently, 22% of Alabama’s population living with HIV is diagnosed late into the disease state [15]. Although there has been an approximate 45% increase in HIV testing from 2015 to 2016, the CDC estimates that 18% of Alabamians living with HIV are still unaware of their status [12, 15]. Moreover, 64% of new diagnoses are among African Americans making it important to realize cultural and/or socioeconomic-related barriers, which contribute to HIV care disparities [15]. Although testing in some health departments and emergency rooms are tracked, there is a general lack of evidence regarding the uptake of guidelines in primary clinics [16, 17]. The objective of this study was to evaluate the current uptake of the CDC’s HIV screening guidelines and to assess patient and provider perceived barriers to HIV testing amongst three primary health clinics in Alabama.

Methods

The study was conducted in two phases, using a concurrent triangulation design, in a Federally Qualified Health Center (FQHC) in Alabama. FQHCs receive grant funding to improve the health of underserved populations and provide comprehensive, culturally sensitive care [18]. Specifically, FQHC clinics were selected for their emphasis on serving underserved populations at risk for HIV infection. HIV infection is a socioeconomic disease, with lower socioeconomic status being associated with an increased risk of high risk behavior and power differences that increase the risk of HIV-infection [19]. Three clinics within the health center were utilized for data collection, with one clinic offering HIV specialty care on site and two clinics serving as satellite clinics where referrals could be easily made. The particular FQHC was selected for their willingness to participate in research and high incidence rates for HIV and STIs within the counties served by the clinics. We used the PRECEDE/PROCEED model in both phases of this study to identify the most relevant factors influencing patient and provider testing behaviors and decisions. PRECEDE/PROCEED is a conceptual framework that examines relevant predisposing, reinforcing and enabling factors that influence health behaviors. Recognizing that patient and clinician behaviors are complex and dynamic, PRECEDE/PROCEED has been used in health care settings to assess antecedent factors to many health-related behaviors, including HIV testing behaviors [20,21,22,23]. The Institutional Review Board of the University of Alabama at Birmingham approved the study.

Phase I

In phase I, quantitative data were collected from participants (N = 250) across three primary care clinics in Alabama. Quota sampling was used to recruit an approximately equal number of participants from each site. Inclusion criteria included: (a) being a clinic patient or family member accompanying the patient; (b) being 19–64 years of age; and (c) having the ability to speak and comprehend English. At the time this study was conducted, the legal adult age for human subjects research was 19 years of age. Within each clinic, study coordinators approached a convenience sample of all potential participants in the clinic waiting rooms. Participants were asked if they would like to participate in an iPad-administered survey that included questions about HIV testing. Potential participants were informed that neither HIV status nor prior experience with testing affected their ability to participate and individuals were assured that care as a patient would not be affected by their decision. While only a small number of eligible patients declined participation due to discomfort related to topic or concern over survey readability, it is possible that a biased sample may have been inadvertently created from individuals who were more comfortable with the topic and therefore more willing to participate. Logistical restraints prevented other recruitment methods. Participants who were willing to participate and met criteria were engaged in a written-verbal informed consent process, with 250 patients providing consent. After full informed consent was obtained, the iPad survey was administered using Qualtrics software. Surveys took participants on average 15 min to complete and a cash incentive of $20 was provided.

Instruments

Demographic Questionnaire

The instrument assessed participants’ basic socioeconomic information including age, gender, race, religiosity, marital status, education, employment, and geographic location.

HIV Testing Questionnaire

The instrument assessed participants’ prior history of HIV testing, perceived risk for HIV infection, and willingness to be tested today.

Rating of Barriers

Participants were asked to evaluate the importance of eight barriers previously identified in the literature [4,5,6,7,8,9]. Barriers were rated on a scale from 0 to 10 with 0 indicating not important and 10 indicating extremely important. Each barrier was evaluated independently so that the perceived impact of one variable did not naturally change the rating of another.

Analysis

Participant characteristics were tabulated and descriptive statistics computed for variables of interest. The association between participant characteristics (years as patient of the clinic, gender, age, race, urban/rural residence, marital status, education, employment, and perceived risk for HIV infection) and quantitative outcomes (times tested, willingness to be tested today, if offered, and barriers to HIV testing) were explored with conditional inference tree modeling [24], a non-linear, non-parametric regression approach, used to identify the characteristics most strongly associated with each outcome. SPSS v.23 and R v.3.1.3 software packages were used to conduct all statistical analyses.

Phase II

In phase II, information was collected from primary health care providers (N = 10) who worked in the same clinics where the surveys were administered. Inclusion criteria included: (a) working within the facility for at least a year and (b) ability to authorize HIV testing. A clinic staff member who assisted with phase I approached potential phase II providers. Names of those who were interested in participating were provided to the study coordinator to schedule individual, semi-focused interviews via telephone. Informed consent was obtained prior to initiating the interviews. Interviews lasted approximately one hour and $50 was provided as compensation for the provider’s time.

Semi-focused Interviews

Semi-focused interviews were used to collect qualitative information on attitudes towards and implementation of HIV testing guidelines in the provider’s practice as well as perception of community barriers to HIV testing. Interviews were audio-recorded and transcribed verbatim. Two researchers analyzing the qualitative data agreed that data saturation had been reached after the analysis of ten interviews. Excerpts of interview scripts can be found in Table 1.

Table 1 Provider interview-phase II participant’s interview guide

Analysis

Transcribed recordings were downloaded onto password-protected computers used by the research team for data analyses. Interviews were transcribed verbatim by a professional transcription service. C.O. and J.W. conducted line-by-line analysis to thematically code interviews using NVivo10® by QSR International. Any discrepancies were discussed between the researchers until common codes were agreed upon.

Results

Phase I

Table 2 describes patient and provider demographics. The majority of participants were African American (71.2%) or Caucasian (25.2%), with 66% of participants residing in urban areas and 34% in a rural demographic. Most were female (63.2%), not living with a partner (74%), under 50 years of age (72%), and unemployed (62.8%). Although 45.6% of patients graduated from high school, only 7.2% graduated from college.

Table 2 Patient and provider demographics

Patient ethnicity and geographic location were associated with the type of clinic serving the patients in the study. Patients in the clinic housing an internal HIV specialty care clinic (n = 85) were mostly African American (95.3%) and urban (97.7%). Patients in the two satellite clinics differed in terms of geographic location and ethnicity: one clinic (n = 86 patients) served mainly rural (91.9%) African Americans (96.5%), while the other (n = 79 patients) served mainly urban (96.2%) Caucasians (72.2%). Neither education nor employment were substantially associated with clinic location.

Attitudes and Behaviors

Overall, 30% (N = 74) of participants had never been tested for HIV infection, with 26% (N = 65) having been tested once, 30.4% (N = 76) having been tested 2–5 times, and 13.6% (N = 34) having been tested more than five times over their lifespan. Only 39% (N = 98) had been offered an HIV test within the past 8 years (since the implementation of the “opt out” guidelines) and 80% (N = 201) were willing to be tested on the day of the survey. Participants were provided the option to write-in responses addressing reasons for refusing testing on the day of the survey. Of 37 responses, 17 were related to lack of perceived risk or desire to test.

Participants in the HIV specialty care clinic were more likely to report having ever been tested for HIV compared to those in satellite clinics (84% vs. 64%; p = .007). Additionally, racial differences existed in response to having ever been tested for HIV, with Caucasians being more likely to have never been tested (48.4% vs. 23.1%; p = .006) and less willing to get tested today (67.2% vs. 89.2%; p < .001). Most participants (N = 232; 94.4%) did not consider themselves at risk for HIV infection. No other significant associations were observed between the perception of being at risk for HIV infection and patient characteristics (clinic, urban/rural status, gender, age, race, marital status, education, and employment).

Rating of Barriers

Overall, patients identified cost as the most important barrier to HIV-testing (Fig. 1), followed by not knowing where to receive specialty care, not feeling at risk, and concern that testing would reflect badly on them as a person. Differences in barriers existed between clinic type in that, on average, patients in satellite clinics were more likely to rate not knowing where to receive specialty care (M = 5.2 vs. 3.27, p = 0.0002) and not feeling at risk for HIV-infection (M = 4.8 vs. 3.0, p = 0.0003) as more substantial barriers to HIV-testing compared to those in the specialty clinic. In addition to clinic-based differences, racial and geographic differences were found with African Americans being more likely to rate testing would reflect badly on me as a person as a greater barrier to HIV testing than Caucasians (M = 4.4 vs. 2.6; p = .008). Additionally, residing in a rural location was associated with higher barrier rating for not knowing where to receive specialty care (M = 6 vs. 3.8; p < .001), not feeling at risk for infection (M = 5.2 vs. 3.7; p = .02), fear of test results (M = 4 vs. 2.6; p = .041), and feeling judged by their health care provider (M = 4.4 vs. 2.5; p < .001). No other significant associations were found between patient demographics and rating of barriers.

Fig. 1
figure 1

Patient rated significance of barriers to HIV testing. Patients were asked to rate the importance of each barrier to HIV testing, with higher scores indicating a more hindering barrier

Phase II

Participants in phase II worked as primary health care providers within study clinics. These providers were primarily nurse practitioners (N = 8) and included a physician and a physician’s assistant. Providers were female and African American (N = 5) or Caucasian (N = 5). Most providers were younger than 50 years of age (N = 6).

HIV Testing Guidelines

Most (N = 7) providers perceived the CDC HIV testing guidelines to be currently implemented at first glance. However, less than half of providers were able to clearly articulate guideline recommendations and three providers later admitted unfamiliarity with the guidelines. After being briefed on the guideline details, providers unanimously reported personal alignment with CDC policy integration into practice. There was discrepancy in the interpretation of guidelines, with some providers maintaining that opt-out testing should only be utilized among high-risk populations. One provider supported universal testing, but maintained that counseling be initiated prior to testing. An example of an appropriate implementation of opt-out testing is described in the provider quote: “We don’t make a big deal out of it. Just say, ‘Don’t you wanna be tested for HIV?’ We just throw it in with their CBC, their RPR, and include HIV. Just as a way to say, ‘We wanna check you for everything, and be sure you’re [in your] best health, and that you’re well (P7).” However, other providers felt differently, expressing caution with the implementation of universal HIV-testing: “In this clinic, it’s a more rural population, so there’s stigma…. I have to approach it [offering HIV testing] with kid gloves (P1)”.

Patient Barriers to HIV Testing

During the in-depth interviews, providers identified barriers to implementing CDC guidelines for HIV testing, which included insurance concerns, lack of knowledge within the community, and cultural resistance to testing within the Hispanic population. Patient education, normalization of testing, and facilitating billing/insurance issues were identified as strategies to address barriers. After probing about the patients’ perception towards HIV testing, five providers identified fear and denial as patient barriers towards HIV testing. Denial was identified in two major forms: (a) denial of being at risk for HIV accompanied by a feeling of invincibility; and (b) denial in the form of avoidance of reality. One provider noted, “…most people think that having HIV it’s just a death sentence, so they don’t wanna know (P4).” Suggested strategies to address these barriers included education on exposure risk, importance of testing, and benefits of treatment.

When providers were asked to contemplate the rationale behind past patient refusals when HIV screening was offered, not feeling at risk and previously having been tested was commonly identified. Plausible reasons identified for decreased perception of risk included consistent safe-sex practices, monogamy, abstinence, and older age. When asked about patient-prompted testing, providers reported that patients requesting testing did so after high-risk experiences, including having casual or unprotected sex, being inadvertently involved with infidelity, using drugs, or being diagnosed with an STD. Two providers identified general health screening as a rationale for patient-requested HIV testing. One provider easily summed up the rationale for patient refusal due to lack of perceived risk: “Some of them will be hesitant or ‘I’m not unclean or anything, so no, I don’t wanna get tested.’ They don’t understand that it doesn’t matter about being clean. Anybody’s gonna be positive I think. That’s probably their [patients] biggest perspective (P4).”

We lastly asked providers to rank the eight barriers, previously identified in the literature, by significance (See Fig. 2.). Providers ranked the most significant community barriers to testing as fear of result, concern that the test would reflect badly on the person tested, and fear that their health care provider would judge them. The least significant patient barriers were cost and not knowing where to receive specialty care. Once providers had completed their ranking of perceived patient barriers to HIV testing, we revealed the results of the phase I analysis to providers. The providers responded with surprise regarding the differences in perceptions of barriers between phase I patients and phase II providers as they became aware of their lack of knowledge regarding patients’ barriers to testing. The following quote captures a provider’s response to recognizing the discrepancies between patient and provider perceived barriers: “I just wouldn’t see that [In response to patient’s ranking cost as #1 barrier].Okay. We’ll just nip that in the bud. I think that lets me know that when people come in I need to let them know that there is no cost for HIV testing, and we are going to test you. We’ll include it in your battery of tests. Yeah, okay. That means we got more education to do (P8).”

Fig. 2
figure 2

Perceived barriers to HIV testing as ranked by providers. Providers were asked to rank patient barriers to HIV testing on a scale from one to eight, with lower scores indicating the most hindering barrier

Referral to Specialty Care

Because not knowing where to receive specialty care was ranked second in overall importance by patients, providers were asked about experience with the referral process to assess if the presence of system-level barriers influenced testing and linkage to care. Providers portrayed a smooth, professional referral process with patient education being shared as a common element. Providers identified the transition to specialty care to be positive for the patient and perceived that the HIV care clinic effectively alleviates patient apprehension through patient navigation efforts. The most significant barrier to receiving specialty care was identified as transportation. Strategies to promote linkage to care included patient education regarding the risks of not being treated, positive outcomes with early treatment, and availability of prescription assistance. Notably, patient awareness of easy-to-access specialty care was not mentioned.

Discussion

In 2006, CDC amended their approach to HIV testing to promote earlier detection of HIV infection, identify individuals unaware of their HIV infection, and link HIV-positive individuals to clinical services necessary to improve not only the life of the infected individual, but decrease HIV transmission [13]. In 2014, the United Nations Program for HIV/AIDS (UNAIDS) went further, setting measurable outcomes, among them the goal that 90% of the population living with HIV are aware of their status by 2020 [25]. As 2020 rapidly approaches, we must understand the barriers to HIV testing in order to meet this goal. The purpose of this study was to explore the uptake of CDC’s HIV recommendations regarding universal “opt-out” HIV testing as well as to examine attitudes, behaviors, and beliefs affecting HIV testing from a patient and provider standpoint. The findings from this study add to the literature by comparing patients’ perceptions with those of providers. Specifically, we found that 30% of patients had never been tested for HIV—a statistic impacting the 18% of Alabamians who are unaware of their status as reported by the CDC [15]. Study findings suggest that estimates towards the progression of the increasing awareness of status to the current 90% UNAIDS goal lags substantially behind in pockets of the population historically most vulnerable to health disparities, including access to care. Therefore, it is increasingly critical that we understand where and why gaps in testing exist in order to bridge the gap in all populations.

In our study, we found that race, geographic location, and clinic type (specialty care vs. satellite) influenced testing attitudes and behaviors, contributing to health disparities in subsets of the population. Although African Americans reported more stigma related to HIV-testing compared to Caucasians, African Americans were also more likely to report having ever been tested and to be willing to test on the day of data collection. Although it is intuitively unexpected for Caucasians to have both lower perceived stigma and lower testing, the PRECEED/PROCEED model supports that Caucasians may not request testing or refuse testing when offered based on the perception that they are not at risk for HIV-infection [21, 22, 26,27,28]. Rurality also influenced patients’ perceptions of barriers with those in more rural locations reporting less personal risk for HIV infection, while at the same time exhibiting more fear of judgement related to testing. Clinic type adds an additional layer to race and rurality considerations. While clinic type was not significantly associated with race or residential rurality, patients seen in the satellite clinics (as opposed to the central HIV specialty care clinic) were less likely to have ever been tested, and more likely, on average, to consider “not knowing where to receive specialty care” and “not feeling at risk for HIV-infection” a more substantial barrier to testing. These results suggest that barriers to testing could potentially be mitigated or eliminated through routine education, open conversation and the consistent implementation of “opt-out” testing into clinical practice.

Specifically, our findings suggest that disparities stemming from stigma and fear of testing, or even lack of knowledge (i.e., perceived risk and where to receive specialty care), could be mitigated through routine, direct conversations between patients and providers. Providers should be sensitive to population-based differences influencing attitudes towards testing as they engage in conversations, while consistently offering universal HIV testing. For example, providers should consider that African Americans might be more sensitive to HIV-related stigma, whereas, Caucasians are more likely to refuse testing due to lack of perceived HIV-risk. Moreover, patients seen in satellite clinics may simply lack the knowledge necessary to value and prioritize HIV-testing. Although we acknowledge that a single caring conversation cannot undo deep set internalized stigma or beliefs regarding personal risk for HIV-infection, providers can strategically address common barriers in a manner that is likely to promote barrier alleviation and promote testing. Further, local advertisement targeted to address stigma and health beliefs may contribute to an overall culture shift in terms of barriers to testing [6, 7, 10, 29]. Through a combination of these techniques and the consistent implementation of “opt-out” HIV-testing to all patients, barriers preventing HIV testing may be sufficiently addressed, thus, facilitating awareness of status and linkage to care.

While these results provide further insight into the barriers to testing in the Deep South, they also highlight that barriers currently represented in the literature are not sufficiently comprehensive. For example, although cost and not knowing where to receive specialty care were the most substantially rated patient barriers, 35% and 45% of patients, respectively, found this barrier to be either not at all or only mildly important as a hindrance to HIV testing. Additionally, 41–52% of our sample described stigma related barriers as “not important” when making the decision to undergo HIV testing. Given these results and that 80% of our sample would be willing to undergo HIV testing the day of the survey, then what are the real barriers? Lack of knowledge regarding the importance and availability of HIV testing or lack of perceived risk may be key barriers, as evidenced by the 94% of patients who did not identify themselves to be at risk for HIV. This is particularly critical as the area in which surveys were conducted have high STD rates, indicating a high risk for HIV infection [30].Without pro-action from health care providers, the HIV risk assessments by patients may be insufficient to motivate patients to request HIV testing.

The next logical question to address is what are the barriers for providers being pro-active and implementing “opt-out” testing as suggested by CDC? Namely, our study revealed that providers inaccurately identified patient barriers to testing and were not knowledgeable of the CDC’s change in recommendation for universal HIV testing. Specifically, providers ranked cost and not knowing where to receive specialty care as the least important barriers to HIV testing, whereas patients identified these as the most important barriers. Findings again suggest that although local research could reveal the unique socio-cultural barriers to testing in these communities, enhanced patient-provider communication has the potential to reveal and address these barriers-at no added cost. Within candid conversation and opt-out testing, lies the opportunity for providers to engage with their patients, addressing the needs of the communities they serve. However, our research suggests that providers may be out of touch with the communities they serve. Providers must be aware of their perceptions and concerns within their patient population, along with internalized beliefs regarding access to health care [5]. By recognizing these differences, providers are prepared to skillfully carry out culturally sensitive care and appropriately serve the populations they care for. While some evidence suggests that continuing education can be used as an effective venue to raise awareness of internalized provider beliefs hindering patient connection and testing, and increase culturally sensitive care, other evidence suggests that the consistent implementation of HIV-stigma policies is more effective [31,32,33].

Overall, our study demonstrated that providers at large did not possess a sufficient understanding of the CDC’s recommendations for universal “opt-out” HIV testing. Moreover, many did not recognize that their understanding of the guidelines were insufficient. Without adequate understanding of the rationale behind the guidelines-namely to remove stigma and encourage routine testing- providers will likely continue to miss opportunities for testing while focusing on high-risk populations, hence, fueling the stigma associated with HIV testing. To counter the old notion, providers must be educated in ways that do not criticize their misunderstanding, but rather inform [7, 34]. Continued medical education aimed to increase provider knowledge and implementation of HIV testing guidelines within practice would serve to educate without promoting a negative connotation for their knowledge needs [11, 35, 36].

We acknowledge that although this study provides valuable information regarding patient barriers to HIV testing and highlights the differences in perceived barriers amongst patients and providers, a limited sample size and geographic range across one state limits generalizability to other populations. While limited in scope, study findings are characteristic of Federally Qualified Health Centers in the Deep South, which currently represents the epicenter of the HIV epidemic in the United States. Although potential selection bias cannot be ruled out using a convenience sampling approach, only few eligible patients declined participation (estimated by our study coordinator to be five). Therefore, the results remain representative of the patients and family members served by the clinic at large. This study is also limited by the fact that we did not request disclosure of positive HIV status, which could potentially impact the attitudes and behaviors regarding HIV testing. However, participants were asked to write-in item responses if unwilling to be tested on the day of the survey, and no participants indicated HIV-positive serostatus as a rationale for their unwillingness to test. Based on this information, it is probable that our results were not biased by participants previously diagnosed with HIV-infection.

Conclusion

Although HIV-related stigma continues to be highly prevalent in the Southern United States [11], our results indicate that the highest-ranking patient barriers were related to the cost of testing, access to specialty care, and perception of HIV risk. These results suggest that the most important patient barriers to HIV testing are not actual barriers, put rather perceived barriers, amenable to correction through education, and namely, open and direct conversation between patients and providers. Our research builds upon previous knowledge and confirms that socio-demographic factors impact attitudes and behaviors related to HIV testing, thus, serving as a reminder that cultural context matters, and that to understand context, real-person engagement must occur [15, 37,38,39,40]. To be effective in increasing HIV testing, providers must first accurately understand the significance of barriers affecting the willingness to be tested in their own communities. While local research can be informative and aid our efforts in addressing barriers and increasing testing and linkage to care, our research confirms that barriers differ by populations and patients cannot be viewed as a single unit. Therefore, providers must engage with each patient routinely to destigmatize, neutralize fears, and address barriers perceived by their patient population. Implications include provider-based education to ensure an adequate understanding of the current recommendations as well as adjunct education to facilitate the soft-skills necessary to have difficult, yet, always critical, conversations. Further, providers recognize their own internal biases hindering universal HIV testing in all populations. Provider based interventions, including administrative and educational strategies, will be necessary to facilitate this change. Through this combination of provider and patient-centered approaches, the realization of actual barriers can be recognized so that evidence-based and culturally relevant interventions can be implemented, with the ultimate goal of achieving 90% awareness of HIV status across populations.