Missed Opportunities for Universal Hepatitis C Screening in a Predominantly Hispanic Safety- Net Population: A Retrospective Cohort Study

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Lawal, Cherechi O. Nwabueze, Bright C. Nwatamole, Nida Asif, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9352801/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 12 You are reading this latest preprint version Abstract Background Universal hepatitis C virus (HCV) screening is recommended for all adults in the US, but its implementation in primary care is inconsistent. We evaluated screening rates and missed opportunities in a large, predominantly Hispanic, safety-net primary care population. Methods We conducted a retrospective cohort study of adults aged ≥ 18 years who received care at University of Texas Rio Grande Valley–affiliated clinics between November 1, 2023, and October 31, 2024. HCV screening completion was defined as an antibody test with laboratory results and, when the antibody test was positive, reflex RNA testing. Missed opportunity was defined as remaining unscreened despite ≥ 2 primary care encounters. Multivariable logistic regression was used to identify independent predictors of screening completion and missed opportunities. Results Among 26,686 eligible patients, only 1,063 (4.0%) completed screening, whereas 25,623 (96.0%) remained unscreened. More than half (52.8%) had ≥ 2 visits, and 93.2% met criteria for a missed opportunity. Screening increased with visit frequency but remained low overall (0.8% with 1 visit vs. 9.1% with ≥ 4 visits). In multivariable analysis, Spanish-language preference (aOR, 3.44; 95% CI, 2.93–4.03) and public insurance (aOR, 3.05; 95% CI, 2.54–3.67) were strongly associated with screening completion. Each visit increased screening odds (aOR 1.20, 95% CI 1.18–1.23) but was also strongly associated with missed opportunities (aOR 8.66, 95% CI 8.20–9.15). Conclusions HCV screening rates were significantly low despite frequent healthcare visits, with many missed opportunities in this safety-net population. System-level factors, rather than patient characteristics alone, appear to drive screening gaps. Automating screening and reducing reliance on visit-based clinician decisions are essential for increasing uptake and advancing HCV elimination efforts. Hepatitis C Virus screening population health medically underserved population insurance coverage primary care language Figures Figure 1 Background Hepatitis C virus (HCV) infection remains a major public health challenge in the United States, with an estimated 1.7–4.0 million adults living with chronic infection 1,2 . Despite the availability of highly effective direct-acting antiviral therapies that achieve cure rates exceeding 95%, HCV remains responsible for approximately 13,000 deaths annually and is the most prevalent chronic blood-borne infection in the country 3–6 . The epidemiology of HCV has also evolved over the past decade, largely driven by the opioid epidemic and increasing injection drug use, with acute infections rising nearly fourfold among adults aged 18–39 years between 2010 and 2018 7 . In 2020, both the Centers for Disease Control and Prevention (CDC) and the U.S. Preventive Services Task Force (USPSTF) updated recommendations to endorse one-time universal HCV screening for adults aged 18–79 years, replacing prior birth-cohort-based screening strategies 6,9 . Despite these national recommendations, HCV screening remains limited in routine clinical practice. Studies from community health centers report screening rates ranging from 8.3% to 17.3%, with an even lower uptake observed in safety-net primary care settings that disproportionately serve uninsured and low-income populations 6,16 . In one analysis of four safety-net clinics, only 0.8% of patients in the previously recommended birth cohort (1945–1965) underwent screening over a one-year period. Several factors likely contribute to this gap between guidelines and practice, including limited provider awareness, competing demands during primary care visits, the often-asymptomatic course of chronic HCV infection, insurance-related barriers, and structural challenges that hinder preventive care delivery in medically underserved populations 6–8 . Racial and ethnic disparities have also shaped the epidemiology and detection of HCV infection in the United States. Although the incidence has increased across all demographic groups in recent years, the magnitude of this increase has been uneven. Between 2015 and 2021, black individuals experienced the largest relative increase in incident HCV infections (367%), followed by Hispanic populations (200%) 4 . Previous studies have also demonstrated substantial variation in screening uptake across racial, ethnic, and linguistic groups, with some evidence that electronic health record-based prompts may improve screening in certain populations 4 . However, the independent contributions of language preference, insurance coverage, and patterns of healthcare utilization to HCV screening remain incompletely characterized, particularly within predominantly Hispanic safety-net health systems. Primary care practices play a central role in HCV detection, as they serve as the principal point of contact within the healthcare system for many adults, including those populations at an increased risk of infection 6,7 . Despite this access, screening remains inconsistently implemented in routine practice, and many eligible patients encounter multiple clinical visits without being tested. Identifying patient- and system-level factors associated with screening completion and missed testing opportunities may help inform targeted strategies to improve uptake and support broader HCV elimination efforts. We evaluated patterns of HCV screening among adults eligible for universal screening within a large, predominantly Hispanic, primary care population in South Texas. Using electronic health record data from the University of Texas Rio Grande Valley Health System, we examined the independent associations between language preference, insurance status, ethnicity, age, and healthcare utilization and screening completion. We also assessed the extent to which repeated primary care encounters without HCV testing resulted in missed opportunities for case identification. We hypothesized that sociodemographic characteristics and visit frequency are independently associated with screening uptake. Methods Study design We conducted a retrospective cohort study of adults receiving primary care within a large integrated safety-net health system serving a predominantly Hispanic population in South Texas. This study evaluated the completion of universal HCV screening and the determinants of screening uptake and missed opportunities during the study period, following the implementation of CDC recommendations for universal adult HCV screening. Setting and population The study was conducted across University of Texas Rio Grande Valley (UTRGV)-affiliated outpatient primary care clinics that share a single enterprise electronic health record (EHR) system. Adults aged ≥ 18 years with at least one in-person or telemedicine primary care encounter between November 1, 2023, and October 31, 2024, were included. Patients were excluded if they had documented prior HCV infection, prior HCV antibody, or RNA testing before the study period, or if they had incomplete demographic data required for multivariable analyses. Exposure, covariates, and outcomes The primary outcome was the completion of HCV screening, defined as documentation of an HCV antibody test with a resulting laboratory value, with reflex RNA testing performed for antibody-positive results in accordance with institutional screening protocols. A secondary outcome, missed opportunity for screening, was defined as remaining unscreened despite having ≥ 2 primary care encounters during the study period. A threshold of ≥ 2 visits was selected to represent repeated healthcare contact and potential opportunities for screening during routine preventive care. Covariates were selected a priori based on prior literature and clinical relevance, and included age group (18–29, 30–39, 40–49, 50–59, 60–69, and ≥ 70 years), sex (male or female), ethnicity (Hispanic, non-Hispanic, or unknown/missing), preferred language documented in the EHR (English, Spanish, or other/unknown), primary insurance category at the index visit (uninsured/self-pay, public insurance, or private insurance), and healthcare utilization, measured as the total number of completed primary care encounters during the study period. Statistical analysis Descriptive statistics were used to summarize patient characteristics overall and to stratify by HCV screening status. Categorical variables were presented as counts and percentages, and continuous variables were reported as medians with interquartile ranges. Bivariate associations between each covariate and HCV screening completion were evaluated using the chi-square test for categorical variables and the Wilcoxon rank-sum test for continuous variables, as appropriate. The primary analytical approach used multivariable logistic regression to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for the association of language preference, insurance status, and other covariates with HCV screening completion. A second logistic regression model was restricted to patients with ≥ 2 primary care encounters to evaluate predictors of missed screening opportunities. Both models included age, sex, ethnicity, preferred language, insurance category, and visit frequency. Model specification was informed by conceptual causal frameworks, and all pre-specified covariates were retained regardless of bivariable significance. Visit frequency was modeled as a continuous variable representing the cumulative opportunity for screening rather than as a causal risk factor. To facilitate clinical interpretation of the regression results, average marginal effects were used to estimate the adjusted predicted probabilities of HCV screening across language and insurance strata, while holding other covariates at their observed distributions. In a pre-specified secondary analysis restricted to patients with exactly two primary care encounters, an interaction term between language preference and insurance status was introduced to examine potential joint effects on screening probabilities across language-insurance combinations. Model fit and assumptions were assessed using the Hosmer-Lemeshow goodness-of-fit test, examination of residuals and influential observations, and evaluation of multicollinearity using variance inflation factors. Because clinics shared standardized workflows and a unified EHR infrastructure, clustering by clinic site was not modeled. Statistical significance was defined as a two-sided p-value of < 0.05. All analyses were performed using Stata version 18.0. Ethical Considerations This study was reviewed by the University of Texas Rio Grande Valley Institutional Review Board and was determined to be Not Human Subjects Research (NHSR), as the analysis involved a retrospective review of de-identified EHR data. Informed consent was not obtained. Results Cohort characteristics and overall screening Among the 29,350 adults in the source dataset, 26,686 (90.9%) met the eligibility criteria for HCV screening after excluding individuals with prior HCV infection or previous HCV testing. During the 12-month study period, 1,063 patients (4.0%) completed the HCV screening, whereas 25,623 (96.0%) remained unscreened. A substantial proportion of eligible patients had repeated primary care contacts. Overall, 14,091 individuals (52.8%) had two or more primary care visits during the study period. Among these patients, 13,130 (49.2% of the total cohort; 93.2% of those with ≥ 2 visits) met the definition of a missed opportunity for screening: ≥2 encounters without HCV testing. Screening rates increased with visit frequency from 0.8% among patients with a single visit to 5.5% among those with two to three visits and 9.1% among those with four or more visits. Language, insurance, and bivariable patterns English was the most frequently recorded preferred language (71.7%, n = 19,133), followed by Spanish (15.6%, n = 4,164), and other or unknown languages (12.7%, n = 3,389). Crude screening rates varied by language preference, with screening completed by 2.8% of English-speaking patients (532/19,133), 11.3% of Spanish-speaking patients (469/4,164), and 1.8% of patients with other or unknown language preferences (62/3,389). Most patients were uninsured or self-paid (65.6%), 8.1% had public insurance, and 26.2% had private insurance. Crude screening rates were 3.1% among uninsured or self-paid patients (534/17,508), 10.0% among those with public insurance (213/2,174), and 4.5% among privately insured patients (316/7,001). Among individuals with non-missing ethnicity data, screening was completed in 5.0% of Hispanic patients (927/18,495) compared to 1.8% of non-Hispanic patients (48/2,627). Multivariable determinants of HCV screening In multivariable logistic regression analysis (N = 26,683), language preference, insurance status, ethnicity, age, and visit frequency were independently associated with the completion of HCV screening. Compared with English-speaking patients, Spanish-speaking patients had more than threefold higher odds of screening (aOR 3.44, 95% CI 2.93–4.03; p < 0.001), whereas patients with other or unknown language preferences did not differ significantly (aOR 1.28, 95% CI 0.92–1.77; p = 0.14). Compared to uninsured or self-paid patients, those with public insurance had higher odds of screening (aOR 3.05, 95% CI 2.54–3.67; p < 0.001), while privately insured patients also had increased odds of screening (aOR 1.57, 95% CI 1.35–1.84; p < 0.001). Hispanic ethnicity was independently associated with higher screening completion (aOR 1.76, 95% CI 1.29–2.38; p < 0.001) compared with non-Hispanic patients; patients with unknown or missing ethnicity did not differ significantly (aOR 0.88, 95% CI 0.60–1.30; p = 0.52). Age demonstrated a non-linear association with screening. Compared with adults aged 18–29 years, higher odds of screening were observed among patients aged 30–39 years (aOR 1.59, 95% CI 1.31–1.93; p < 0.001) and 40–49 years (aOR 1.55, 95% CI 1.28–1.88; p < 0.001), while patients aged 50–59 years did not differ significantly from the reference group (aOR 0.85, 95% CI 0.67–1.06; p = 0.139), and lower odds were observed among patients aged 60–69 years (aOR 0.51, 95% CI, 0.38–0.67; p < 0.001) and ≥ 70 years (aOR 0.11, 95% CI 0.06–0.20; p < 0.001). Sex was not independently associated with screening (female vs. male: aOR 1.01, 95% CI 0.88–1.16; p = 0.85). Each additional primary care visit was associated with a 20% increase in the odds of screening completion (aOR 1.20, 95% CI 1.18–1.23; p < 0.001). Table 1: Independent Predictors of HCV Screening Completion in a Primary Care Cohort Adjusted predicted probabilities and interaction effects Average marginal effects were used to estimate the adjusted predicted probabilities of HCV screening across language and insurance strata. The predicted screening probabilities by language were 3.3% for English-speaking patients, 9.1% for Spanish-speaking patients, and 1.6% for patients with other or unknown language preferences. By insurance category, the adjusted screening probabilities were 3.6% for uninsured or self-paid patients, 9.5% for those with public insurance, and 5.2% for privately insured patients. In a secondary model restricted to patients with ≥ 2 primary care visits that included a language × insurance interaction, the predicted screening probabilities varied across language-insurance combinations. Screening probabilities were lowest among English-speaking uninsured patients (~ 2.9–3.4%) and highest among Spanish-speaking patients with public insurance (~ 24–28%). Intermediate probabilities were observed among Spanish-speaking patients who were uninsured or privately insured, whereas the predicted probabilities remained low across insurance categories for patients with other or unknown language preferences. Missed opportunities among patients with multiple visits In the model restricted to patients with ≥ 2 primary care visits, language preference, insurance status, ethnicity, age, and visit frequency were associated with missed screening opportunities. Compared with English-speaking patients, Spanish-speaking patients had lower odds of a missed opportunity (aOR 0.53, 95% CI 0.47–0.60; p < 0.001), as did patients with other or unknown language preferences (aOR 0.80, 95% CI 0.70–0.92; p = 0.001). Relative to uninsured patients, public insurance was associated with lower odds of a missed opportunity (aOR 0.84, 95% CI 0.72–0.98; p = 0.03), whereas private insurance was associated with higher odds (aOR 1.18, 95% CI 1.08–1.29; p < 0.001). Hispanic ethnicity was also associated with lower odds of missed opportunities (aOR 0.88, 95% CI 0.78-1.00; p = 0.045). Compared with patients aged 18–29 years, older age groups (30–39 through ≥ 70 years) had modestly higher odds of missed opportunities (aOR ranging from 1.17 to 1.49; all p ≤ 0.008). Each additional primary care visit was associated with higher odds of being classified as a missed opportunity (aOR 8.66, 95% CI 8.20–9.15; p < 0.001). Discussion In this large safety-net primary care cohort from South Texas, completion of universal HCV screening was extremely low, despite broad eligibility and frequent healthcare contact. Less than 5% of eligible adults underwent screening during the study period, and nearly half of the cohort missed testing opportunities despite repeated primary care encounters. These findings suggest that universal HCV screening remains largely aspirational in safety-net primary care settings when a systematic, population-level screening infrastructure is absent. This observation is notable given that universal adult HCV screening has been recommended for several years by both the CDC and USPSTF, supported by strong evidence demonstrating cost-effectiveness and population-level benefits for HCV elimination 6,9–11 . Prior studies have similarly documented incomplete implementation of universal screening policies across healthcare systems, particularly in primary care settings, where competing clinical priorities and limited visit time may constrain the delivery of preventive services 11,12,15 . However, the extremely low screening rates observed in this cohort, despite frequent primary care utilization, suggest that the primary barrier may be the absence of systematic screening workflows, rather than a lack of patient engagement. Language preference and insurance status were the strongest independent predictors of screening completion. Spanish-speaking patients had more than threefold higher adjusted odds of screening than English-speaking patients, and individuals with public insurance were also significantly more likely to be screened. These findings may reflect differences in clinical workflows rather than patient-level barriers. Clinics serving predominantly Spanish-speaking populations may be more likely to implement medical-assistant-driven standing orders, targeted screening outreach, or community health worker programs that facilitate preventive testing. Similarly, clinics caring for patients with Medicaid or other public insurance may incorporate preventive care workflows aligned with payer quality metrics, thereby increasing adherence to the recommended screening practices. Although these mechanisms cannot be directly assessed in this analysis, they provide plausible system-level explanations of the observed patterns. Evidence-based implementation strategies exist that could substantially improve screening rates in safety-net settings. Automated EHR interventions have demonstrated remarkable effectiveness: a best practice advisory in primary care increased HCV screening from 7.6% to 72% among baby boomers over one year, representing a 5-fold increase 19 . Similarly, default screening orders (opt-out approach) achieved 69.9% screening rates compared to 38.1% with electronic prompts alone (OR 3.18, 95% CI 2.59–3.89) 22 . Direct-to-patient portal messaging with automated laboratory orders increased screening from 34% to 58% among engaged patients with upcoming visits 23 . These interventions share a common feature: they reduce reliance on clinician decision-making during time-constrained visits by integrating screening into routine workflows. Simplified testing strategies also improve uptake and linkage to care. Point-of-care HCV antibody testing provides results in less than 20 minutes using fingerstick blood or oral fluid samples, with sensitivity and specificity comparable to laboratory-based assays 3,24 . Point-of-care RNA testing delivers results within 1 hour, enabling same-day diagnosis and treatment initiation 24 . Reflex RNA testing, in which positive antibody results automatically trigger confirmatory RNA testing, eliminates the need for patients to return for additional blood draws, thereby addressing a major barrier in the continuum of care. Egypt's national screening program demonstrated the feasibility of large-scale implementation, screening nearly 50 million people in 6 months using decentralized point-of-care testing 24 . Despite these relative differences, the screening rates remained low across all sociodemographic groups. Even among Spanish-speaking patients with public insurance, the subgroup with the highest predicted screening probabilities had screening rates far below universal screening targets. This finding underscores that favorable patient-level characteristics alone cannot compensate for the absence of an automated screening infrastructure. The high prevalence of missed opportunities further underscores this knowledge gap. Many patients with multiple primary care visits remained unscreened, indicating that repeated healthcare contact alone did not ensure the delivery of preventive services. Similar patterns have been reported for other preventive services, including colorectal cancer screening and HIV testing, within safety-net health systems 17,18 . Taken together, these findings support a shift from visit-based, clinician-dependent screening toward automated, system-level approaches. Electronic health record prompts, standing laboratory orders, risk-based screening tools, and population health outreach strategies have been shown to increase HCV screening in primary care settings 13,14,19–21 . Such interventions may be particularly important in safety net systems, where competing clinical demands limit the feasibility of purely visit-based screening strategies. Several limitations of this study should be considered when interpreting these findings. First, the retrospective study design limits causal inference, and unmeasured factors, such as provider-level practices or clinic-specific workflows, may influence screening patterns. Second, HCV testing performed outside the health system may not have been captured, potentially leading to underestimation of screening completion. Third, language preference and ethnicity were derived from the EHR registration fields and may have been subject to misclassification. Fourth, this study reflects the experience within a single safety-net health system and may not be fully generalizable to other practice settings. Finally, the study period (November 2023-October 2024) occurred several years after the peak disruption of healthcare services caused by the COVID-19 pandemic. HCV screening and treatment were adversely affected during the pandemic, with HCV antibody testing dropping 59% in April 2020 and HCV RNA-positive results decreasing 62% in March 2020, remaining 39% below baseline through July 2020 3,25 . Treatment declined by 43% in May 2020 and remained low for the rest of 2020 25,26 . Although our study period is after the pandemic, ongoing workflow issues or incomplete recovery of screening infrastructure might have contributed to the low screening rates observed. Conversely, the very low 4% screening rate suggests that even before the pandemic, implementation was likely inadequate in this safety-net setting, as national screening rates in community health centers ranged from 8.3% to 17.3% prior to COVID-19 6 . Despite these limitations, this study has several strengths, including a large primary care population, detailed encounter-level data, and a comprehensive evaluation of missed opportunities among patients with repeated healthcare contact. By focusing on real-world implementation rather than guideline awareness alone, these findings provide insight into the structural barriers that may hinder progress toward HCV elimination. Conclusions Universal HCV screening remains substantially under-implemented in safety-net primary care, even among patients with frequent healthcare engagement. In this large, predominantly Hispanic cohort, only 4% of eligible adults completed screening, and nearly half represented missed opportunities despite multiple clinical encounters. System-level factors, particularly clinic workflows that may vary by language preference and insurance status, appear to drive screening patterns more than patient-level characteristics do. These findings support shifting from visit-based, clinician-dependent screening to automated, system-level approaches. Specific strategies to consider include EHR-integrated default screening orders that require active opt-out rather than opt-in; standing laboratory orders with reflex RNA testing to eliminate the need for repeated patient contact; best-practice advisories that automatically prompt providers when eligible patients are encountered; and direct-to-patient portal messaging with pre-authorized laboratory orders for engaged populations. Point-of-care testing using rapid antibody and RNA assays can further reduce barriers by providing same-day results and enabling immediate linkage to care. Implementing these strategies may be necessary to translate national screening recommendations into meaningful population coverage and to advance HCV elimination efforts in safety-net settings. Abbreviations aOR: Adjusted Odds Ratio CDC: Centers for Disease Control and Prevention CI: Confidence Interval EHR: Electronic Health Record HCV: Hepatitis C Virus NHSR: Not Human Subjects Research USPSTF: United States Preventive Services Task Force UTRGV: University of Texas Rio Grande Valley Declarations Ethics approval and consent to participate This study was reviewed by the University of Texas Rio Grande Valley Institutional Review Board and was determined to be Not Human Subjects Research (NHSR), as the analysis involved retrospective review of de-identified electronic health record data. Informed consent was waived. Clinical trial number: not applicable. Consent for publication Not applicable. Availability of data and materials The datasets analyzed during the current study are not publicly available due to patient privacy considerations and institutional data governance policies, but are available from the corresponding author on reasonable request and with appropriate institutional approvals. Competing interests The authors declare that they have no competing interests. Funding This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. Acknowledgements The authors used artificial intelligence tools (OpenEvidence and ChatGPT) to assist with literature review and manuscript editing. All AI-generated content was critically reviewed and edited by the authors, who take full responsibility for the final manuscript. The abstract will be presented at Digestive Disease Week 2026 in Chicago, IL, USA. References Hall EW, Bradley H, Barker LK, Lewis KC, Shealey J, Valverde E, et al. 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Lancet. 2023;402(10407):1085-1096. doi:10.1016/S0140-6736(23)01320-X Kaufman HW, Bull-Otterson L, Meyer WA 3rd, Huang X, Doshani M, Thompson WW, et al. Decreases in Hepatitis C Testing and Treatment During the COVID-19 Pandemic. Am J Prev Med. 2021;61(3):369-376. doi:10.1016/j.amepre.2021.03.011 Hoenigl M, Abramovitz D, Flores Ortega RE, Martin NK, Reau N. Sustained Impact of the Coronavirus Disease 2019 Pandemic on Hepatitis C Virus Treatment Initiations in the United States. Clin Infect Dis. 2022;75(1):e955-e961. doi:10.1093/cid/ciac175 Additional Declarations No competing interests reported. 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Lawal","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA7klEQVRIiWNgGAWjYDACZgYDECUDxIwHPsBEeYjQAlZzcAaEQ0ALA5KWwzzEaDFvZ94m8XMHAw//jOQHh23b/uTLRyQwPnjbhluLzGG2MsneMww8EjfSDA7nthlYbryRwGw4F48WCWYesxu8bUCX3E4AazEw7DnAJs1LQMvNv0At8rfTPxy2hGhh/01Iy22QLQa3cwwOMwK1yLM3sDHj18JW/lu2TYLH8P6bgoM954wNDNgbmyXnnMOjhf/wZsO3bTZycmeOb3zwo0zOQL6Z+eCHN2W4tcB0IpgGBxgbCKpHBfKkahgFo2AUjIJhDwDjvkqtjS5zgwAAAABJRU5ErkJggg==","orcid":"","institution":"The University of Texas Rio Grande Valley","correspondingAuthor":true,"prefix":"","firstName":"Ridwan","middleName":"A.","lastName":"Lawal","suffix":""},{"id":634124973,"identity":"eae463cb-5957-42da-abd7-7c981c465b35","order_by":1,"name":"Cherechi O. Nwabueze","email":"","orcid":"","institution":"John H. Stroger, Jr. Hospital of Cook County","correspondingAuthor":false,"prefix":"","firstName":"Cherechi","middleName":"O.","lastName":"Nwabueze","suffix":""},{"id":634124974,"identity":"54ce9a32-4943-422f-aaba-2498319671ce","order_by":2,"name":"Bright C. Nwatamole","email":"","orcid":"","institution":"Vassar Brothers Medical Center","correspondingAuthor":false,"prefix":"","firstName":"Bright","middleName":"C.","lastName":"Nwatamole","suffix":""},{"id":634124975,"identity":"52be451e-1904-4851-aac8-858a9a2f62ae","order_by":3,"name":"Nida Asif","email":"","orcid":"","institution":"The University of Texas Rio Grande Valley","correspondingAuthor":false,"prefix":"","firstName":"Nida","middleName":"","lastName":"Asif","suffix":""},{"id":634124981,"identity":"92e3bb13-7605-47a7-8998-f1746fb95f4e","order_by":4,"name":"Oladoyin Jolaoye","email":"","orcid":"","institution":"University of Illinois College of Medicine","correspondingAuthor":false,"prefix":"","firstName":"Oladoyin","middleName":"","lastName":"Jolaoye","suffix":""},{"id":634124982,"identity":"ec5f3e55-4f9b-4104-aeed-5d6b88c3314e","order_by":5,"name":"Juliana Yang","email":"","orcid":"","institution":"The University of Texas Rio Grande Valley","correspondingAuthor":false,"prefix":"","firstName":"Juliana","middleName":"","lastName":"Yang","suffix":""}],"badges":[],"createdAt":"2026-04-08 06:55:53","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9352801/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9352801/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":108837806,"identity":"af2d70b5-f8c8-4ffe-b3d0-d58358c711bc","added_by":"auto","created_at":"2026-05-09 00:18:08","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":522914,"visible":true,"origin":"","legend":"\u003cp\u003eFlow Diagram of HCV Screening Eligibility, Completion, and Missed Opportunity in a Primary Care Cohort\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-9352801/v1/5f44e84d56d28bd0b81ac131.jpeg"},{"id":108977372,"identity":"de37f0e3-1dde-47c7-a976-727ad1b3fd8d","added_by":"auto","created_at":"2026-05-11 11:31:34","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":845319,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9352801/v1/4a058877-d281-48d0-906e-038ca8daa6d9.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Missed Opportunities for Universal Hepatitis C Screening in a Predominantly Hispanic Safety- Net Population: A Retrospective Cohort Study","fulltext":[{"header":"Background","content":"\u003cp\u003eHepatitis C virus (HCV) infection remains a major public health challenge in the United States, with an estimated 1.7\u0026ndash;4.0\u0026nbsp;million adults living with chronic infection\u003csup\u003e1,2\u003c/sup\u003e. Despite the availability of highly effective direct-acting antiviral therapies that achieve cure rates exceeding 95%, HCV remains responsible for approximately 13,000 deaths annually and is the most prevalent chronic blood-borne infection in the country\u003csup\u003e3\u0026ndash;6\u003c/sup\u003e. The epidemiology of HCV has also evolved over the past decade, largely driven by the opioid epidemic and increasing injection drug use, with acute infections rising nearly fourfold among adults aged 18\u0026ndash;39 years between 2010 and 2018\u003csup\u003e7\u003c/sup\u003e. In 2020, both the Centers for Disease Control and Prevention (CDC) and the U.S. Preventive Services Task Force (USPSTF) updated recommendations to endorse one-time universal HCV screening for adults aged 18\u0026ndash;79 years, replacing prior birth-cohort-based screening strategies\u003csup\u003e6,9\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eDespite these national recommendations, HCV screening remains limited in routine clinical practice. Studies from community health centers report screening rates ranging from 8.3% to 17.3%, with an even lower uptake observed in safety-net primary care settings that disproportionately serve uninsured and low-income populations\u003csup\u003e6,16\u003c/sup\u003e. In one analysis of four safety-net clinics, only 0.8% of patients in the previously recommended birth cohort (1945\u0026ndash;1965) underwent screening over a one-year period. Several factors likely contribute to this gap between guidelines and practice, including limited provider awareness, competing demands during primary care visits, the often-asymptomatic course of chronic HCV infection, insurance-related barriers, and structural challenges that hinder preventive care delivery in medically underserved populations\u003csup\u003e6\u0026ndash;8\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eRacial and ethnic disparities have also shaped the epidemiology and detection of HCV infection in the United States. Although the incidence has increased across all demographic groups in recent years, the magnitude of this increase has been uneven. Between 2015 and 2021, black individuals experienced the largest relative increase in incident HCV infections (367%), followed by Hispanic populations (200%)\u003csup\u003e4\u003c/sup\u003e. Previous studies have also demonstrated substantial variation in screening uptake across racial, ethnic, and linguistic groups, with some evidence that electronic health record-based prompts may improve screening in certain populations\u003csup\u003e4\u003c/sup\u003e. However, the independent contributions of language preference, insurance coverage, and patterns of healthcare utilization to HCV screening remain incompletely characterized, particularly within predominantly Hispanic safety-net health systems.\u003c/p\u003e \u003cp\u003ePrimary care practices play a central role in HCV detection, as they serve as the principal point of contact within the healthcare system for many adults, including those populations at an increased risk of infection\u003csup\u003e6,7\u003c/sup\u003e. Despite this access, screening remains inconsistently implemented in routine practice, and many eligible patients encounter multiple clinical visits without being tested. Identifying patient- and system-level factors associated with screening completion and missed testing opportunities may help inform targeted strategies to improve uptake and support broader HCV elimination efforts.\u003c/p\u003e \u003cp\u003eWe evaluated patterns of HCV screening among adults eligible for universal screening within a large, predominantly Hispanic, primary care population in South Texas. Using electronic health record data from the University of Texas Rio Grande Valley Health System, we examined the independent associations between language preference, insurance status, ethnicity, age, and healthcare utilization and screening completion. We also assessed the extent to which repeated primary care encounters without HCV testing resulted in missed opportunities for case identification. We hypothesized that sociodemographic characteristics and visit frequency are independently associated with screening uptake.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy design\u003c/h2\u003e \u003cp\u003e We conducted a retrospective cohort study of adults receiving primary care within a large integrated safety-net health system serving a predominantly Hispanic population in South Texas. This study evaluated the completion of universal HCV screening and the determinants of screening uptake and missed opportunities during the study period, following the implementation of CDC recommendations for universal adult HCV screening.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eSetting and population\u003c/h3\u003e\n\u003cp\u003e The study was conducted across University of Texas Rio Grande Valley (UTRGV)-affiliated outpatient primary care clinics that share a single enterprise electronic health record (EHR) system. Adults aged\u0026thinsp;\u0026ge;\u0026thinsp;18 years with at least one in-person or telemedicine primary care encounter between November 1, 2023, and October 31, 2024, were included. Patients were excluded if they had documented prior HCV infection, prior HCV antibody, or RNA testing before the study period, or if they had incomplete demographic data required for multivariable analyses.\u003c/p\u003e\n\u003ch3\u003eExposure, covariates, and outcomes\u003c/h3\u003e\n\u003cp\u003eThe primary outcome was the completion of HCV screening, defined as documentation of an HCV antibody test with a resulting laboratory value, with reflex RNA testing performed for antibody-positive results in accordance with institutional screening protocols. A secondary outcome, missed opportunity for screening, was defined as remaining unscreened despite having\u0026thinsp;\u0026ge;\u0026thinsp;2 primary care encounters during the study period. A threshold of \u0026ge;\u0026thinsp;2 visits was selected to represent repeated healthcare contact and potential opportunities for screening during routine preventive care.\u003c/p\u003e \u003cp\u003eCovariates were selected a priori based on prior literature and clinical relevance, and included age group (18\u0026ndash;29, 30\u0026ndash;39, 40\u0026ndash;49, 50\u0026ndash;59, 60\u0026ndash;69, and \u0026ge;\u0026thinsp;70 years), sex (male or female), ethnicity (Hispanic, non-Hispanic, or unknown/missing), preferred language documented in the EHR (English, Spanish, or other/unknown), primary insurance category at the index visit (uninsured/self-pay, public insurance, or private insurance), and healthcare utilization, measured as the total number of completed primary care encounters during the study period.\u003c/p\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eDescriptive statistics were used to summarize patient characteristics overall and to stratify by HCV screening status. Categorical variables were presented as counts and percentages, and continuous variables were reported as medians with interquartile ranges. Bivariate associations between each covariate and HCV screening completion were evaluated using the chi-square test for categorical variables and the Wilcoxon rank-sum test for continuous variables, as appropriate.\u003c/p\u003e \u003cp\u003eThe primary analytical approach used multivariable logistic regression to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for the association of language preference, insurance status, and other covariates with HCV screening completion. A second logistic regression model was restricted to patients with \u0026ge;\u0026thinsp;2 primary care encounters to evaluate predictors of missed screening opportunities. Both models included age, sex, ethnicity, preferred language, insurance category, and visit frequency. Model specification was informed by conceptual causal frameworks, and all pre-specified covariates were retained regardless of bivariable significance. Visit frequency was modeled as a continuous variable representing the cumulative opportunity for screening rather than as a causal risk factor.\u003c/p\u003e \u003cp\u003eTo facilitate clinical interpretation of the regression results, average marginal effects were used to estimate the adjusted predicted probabilities of HCV screening across language and insurance strata, while holding other covariates at their observed distributions. In a pre-specified secondary analysis restricted to patients with exactly two primary care encounters, an interaction term between language preference and insurance status was introduced to examine potential joint effects on screening probabilities across language-insurance combinations.\u003c/p\u003e \u003cp\u003eModel fit and assumptions were assessed using the Hosmer-Lemeshow goodness-of-fit test, examination of residuals and influential observations, and evaluation of multicollinearity using variance inflation factors. Because clinics shared standardized workflows and a unified EHR infrastructure, clustering by clinic site was not modeled. Statistical significance was defined as a two-sided p-value of \u0026lt;\u0026thinsp;0.05. All analyses were performed using Stata version 18.0.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eEthical Considerations\u003c/h3\u003e\n\u003cp\u003eThis study was reviewed by the University of Texas Rio Grande Valley Institutional Review Board and was determined to be Not Human Subjects Research (NHSR), as the analysis involved a retrospective review of de-identified EHR data. Informed consent was not obtained.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec9\"\u003e\n \u003ch2\u003eCohort characteristics and overall screening\u003c/h2\u003e\n \u003cp\u003eAmong the 29,350 adults in the source dataset, 26,686 (90.9%) met the eligibility criteria for HCV screening after excluding individuals with prior HCV infection or previous HCV testing. During the 12-month study period, 1,063 patients (4.0%) completed the HCV screening, whereas 25,623 (96.0%) remained unscreened.\u003c/p\u003e\n \u003cp\u003eA substantial proportion of eligible patients had repeated primary care contacts. Overall, 14,091 individuals (52.8%) had two or more primary care visits during the study period. Among these patients, 13,130 (49.2% of the total cohort; 93.2% of those with \u0026ge;\u0026thinsp;2 visits) met the definition of a missed opportunity for screening: \u0026ge;2 encounters without HCV testing. Screening rates increased with visit frequency from 0.8% among patients with a single visit to 5.5% among those with two to three visits and 9.1% among those with four or more visits.\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eLanguage, insurance, and bivariable patterns\u003c/h3\u003e\n\u003cp\u003eEnglish was the most frequently recorded preferred language (71.7%, n\u0026thinsp;=\u0026thinsp;19,133), followed by Spanish (15.6%, n\u0026thinsp;=\u0026thinsp;4,164), and other or unknown languages (12.7%, n\u0026thinsp;=\u0026thinsp;3,389). Crude screening rates varied by language preference, with screening completed by 2.8% of English-speaking patients (532/19,133), 11.3% of Spanish-speaking patients (469/4,164), and 1.8% of patients with other or unknown language preferences (62/3,389).\u003c/p\u003e\n\u003cp\u003eMost patients were uninsured or self-paid (65.6%), 8.1% had public insurance, and 26.2% had private insurance. Crude screening rates were 3.1% among uninsured or self-paid patients (534/17,508), 10.0% among those with public insurance (213/2,174), and 4.5% among privately insured patients (316/7,001). Among individuals with non-missing ethnicity data, screening was completed in 5.0% of Hispanic patients (927/18,495) compared to 1.8% of non-Hispanic patients (48/2,627).\u003c/p\u003e\n\u003cdiv id=\"Sec11\"\u003e\n \u003ch2\u003eMultivariable determinants of HCV screening\u003c/h2\u003e\n \u003cp\u003eIn multivariable logistic regression analysis (N\u0026thinsp;=\u0026thinsp;26,683), language preference, insurance status, ethnicity, age, and visit frequency were independently associated with the completion of HCV screening. Compared with English-speaking patients, Spanish-speaking patients had more than threefold higher odds of screening (aOR 3.44, 95% CI 2.93\u0026ndash;4.03; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), whereas patients with other or unknown language preferences did not differ significantly (aOR 1.28, 95% CI 0.92\u0026ndash;1.77; p\u0026thinsp;=\u0026thinsp;0.14).\u003c/p\u003e\n \u003cp\u003eCompared to uninsured or self-paid patients, those with public insurance had higher odds of screening (aOR 3.05, 95% CI 2.54\u0026ndash;3.67; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), while privately insured patients also had increased odds of screening (aOR 1.57, 95% CI 1.35\u0026ndash;1.84; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). Hispanic ethnicity was independently associated with higher screening completion (aOR 1.76, 95% CI 1.29\u0026ndash;2.38; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) compared with non-Hispanic patients; patients with unknown or missing ethnicity did not differ significantly (aOR 0.88, 95% CI 0.60\u0026ndash;1.30; p\u0026thinsp;=\u0026thinsp;0.52).\u003c/p\u003e\n \u003cp\u003eAge demonstrated a non-linear association with screening. Compared with adults aged 18\u0026ndash;29 years, higher odds of screening were observed among patients aged 30\u0026ndash;39 years (aOR 1.59, 95% CI 1.31\u0026ndash;1.93; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and 40\u0026ndash;49 years (aOR 1.55, 95% CI 1.28\u0026ndash;1.88; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), while patients aged 50\u0026ndash;59 years did not differ significantly from the reference group (aOR 0.85, 95% CI 0.67\u0026ndash;1.06; p\u0026thinsp;=\u0026thinsp;0.139), and lower odds were observed among patients aged 60\u0026ndash;69 years (aOR 0.51, 95% CI, 0.38\u0026ndash;0.67; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and \u0026ge;\u0026thinsp;70 years (aOR 0.11, 95% CI 0.06\u0026ndash;0.20; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). Sex was not independently associated with screening (female vs. male: aOR 1.01, 95% CI 0.88\u0026ndash;1.16; p\u0026thinsp;=\u0026thinsp;0.85). Each additional primary care visit was associated with a 20% increase in the odds of screening completion (aOR 1.20, 95% CI 1.18\u0026ndash;1.23; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001).\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTable 1:\u0026nbsp;\u003c/strong\u003eIndependent Predictors of HCV Screening Completion in a Primary Care Cohort\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n \u003cdiv\u003e\n \u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003c/table\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\"\u003e\n \u003ch2\u003eAdjusted predicted probabilities and interaction effects\u003c/h2\u003e\n \u003cp\u003eAverage marginal effects were used to estimate the adjusted predicted probabilities of HCV screening across language and insurance strata. The predicted screening probabilities by language were 3.3% for English-speaking patients, 9.1% for Spanish-speaking patients, and 1.6% for patients with other or unknown language preferences.\u003c/p\u003e\n \u003cp\u003eBy insurance category, the adjusted screening probabilities were 3.6% for uninsured or self-paid patients, 9.5% for those with public insurance, and 5.2% for privately insured patients.\u003c/p\u003e\n \u003cp\u003eIn a secondary model restricted to patients with \u0026ge;\u0026thinsp;2 primary care visits that included a language \u0026times; insurance interaction, the predicted screening probabilities varied across language-insurance combinations. Screening probabilities were lowest among English-speaking uninsured patients (~\u0026thinsp;2.9\u0026ndash;3.4%) and highest among Spanish-speaking patients with public insurance (~\u0026thinsp;24\u0026ndash;28%). Intermediate probabilities were observed among Spanish-speaking patients who were uninsured or privately insured, whereas the predicted probabilities remained low across insurance categories for patients with other or unknown language preferences.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec13\"\u003e\n \u003ch2\u003eMissed opportunities among patients with multiple visits\u003c/h2\u003e\n \u003cp\u003eIn the model restricted to patients with \u0026ge;\u0026thinsp;2 primary care visits, language preference, insurance status, ethnicity, age, and visit frequency were associated with missed screening opportunities. Compared with English-speaking patients, Spanish-speaking patients had lower odds of a missed opportunity (aOR 0.53, 95% CI 0.47\u0026ndash;0.60; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), as did patients with other or unknown language preferences (aOR 0.80, 95% CI 0.70\u0026ndash;0.92; p\u0026thinsp;=\u0026thinsp;0.001).\u003c/p\u003e\n \u003cp\u003eRelative to uninsured patients, public insurance was associated with lower odds of a missed opportunity (aOR 0.84, 95% CI 0.72\u0026ndash;0.98; p\u0026thinsp;=\u0026thinsp;0.03), whereas private insurance was associated with higher odds (aOR 1.18, 95% CI 1.08\u0026ndash;1.29; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). Hispanic ethnicity was also associated with lower odds of missed opportunities (aOR 0.88, 95% CI 0.78-1.00; p\u0026thinsp;=\u0026thinsp;0.045). Compared with patients aged 18\u0026ndash;29 years, older age groups (30\u0026ndash;39 through \u0026ge;\u0026thinsp;70 years) had modestly higher odds of missed opportunities (aOR ranging from 1.17 to 1.49; all p\u0026thinsp;\u0026le;\u0026thinsp;0.008).\u003c/p\u003e\n \u003cp\u003eEach additional primary care visit was associated with higher odds of being classified as a missed opportunity (aOR 8.66, 95% CI 8.20\u0026ndash;9.15; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001).\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn this large safety-net primary care cohort from South Texas, completion of universal HCV screening was extremely low, despite broad eligibility and frequent healthcare contact. Less than 5% of eligible adults underwent screening during the study period, and nearly half of the cohort missed testing opportunities despite repeated primary care encounters. These findings suggest that universal HCV screening remains largely aspirational in safety-net primary care settings when a systematic, population-level screening infrastructure is absent.\u003c/p\u003e \u003cp\u003eThis observation is notable given that universal adult HCV screening has been recommended for several years by both the CDC and USPSTF, supported by strong evidence demonstrating cost-effectiveness and population-level benefits for HCV elimination\u003csup\u003e6,9\u0026ndash;11\u003c/sup\u003e. Prior studies have similarly documented incomplete implementation of universal screening policies across healthcare systems, particularly in primary care settings, where competing clinical priorities and limited visit time may constrain the delivery of preventive services\u003csup\u003e11,12,15\u003c/sup\u003e. However, the extremely low screening rates observed in this cohort, despite frequent primary care utilization, suggest that the primary barrier may be the absence of systematic screening workflows, rather than a lack of patient engagement.\u003c/p\u003e \u003cp\u003eLanguage preference and insurance status were the strongest independent predictors of screening completion. Spanish-speaking patients had more than threefold higher adjusted odds of screening than English-speaking patients, and individuals with public insurance were also significantly more likely to be screened. These findings may reflect differences in clinical workflows rather than patient-level barriers. Clinics serving predominantly Spanish-speaking populations may be more likely to implement medical-assistant-driven standing orders, targeted screening outreach, or community health worker programs that facilitate preventive testing. Similarly, clinics caring for patients with Medicaid or other public insurance may incorporate preventive care workflows aligned with payer quality metrics, thereby increasing adherence to the recommended screening practices. Although these mechanisms cannot be directly assessed in this analysis, they provide plausible system-level explanations of the observed patterns. Evidence-based implementation strategies exist that could substantially improve screening rates in safety-net settings. Automated EHR interventions have demonstrated remarkable effectiveness: a best practice advisory in primary care increased HCV screening from 7.6% to 72% among baby boomers over one year, representing a 5-fold increase\u003csup\u003e19\u003c/sup\u003e. Similarly, default screening orders (opt-out approach) achieved 69.9% screening rates compared to 38.1% with electronic prompts alone (OR 3.18, 95% CI 2.59\u0026ndash;3.89)\u003csup\u003e22\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eDirect-to-patient portal messaging with automated laboratory orders increased screening from 34% to 58% among engaged patients with upcoming visits\u003csup\u003e23\u003c/sup\u003e. These interventions share a common feature: they reduce reliance on clinician decision-making during time-constrained visits by integrating screening into routine workflows.\u003c/p\u003e \u003cp\u003eSimplified testing strategies also improve uptake and linkage to care. Point-of-care HCV antibody testing provides results in less than 20 minutes using fingerstick blood or oral fluid samples, with sensitivity and specificity comparable to laboratory-based assays\u003csup\u003e3,24\u003c/sup\u003e. Point-of-care RNA testing delivers results within 1 hour, enabling same-day diagnosis and treatment initiation\u003csup\u003e24\u003c/sup\u003e. Reflex RNA testing, in which positive antibody results automatically trigger confirmatory RNA testing, eliminates the need for patients to return for additional blood draws, thereby addressing a major barrier in the continuum of care. Egypt's national screening program demonstrated the feasibility of large-scale implementation, screening nearly 50\u0026nbsp;million people in 6 months using decentralized point-of-care testing\u003csup\u003e24\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eDespite these relative differences, the screening rates remained low across all sociodemographic groups. Even among Spanish-speaking patients with public insurance, the subgroup with the highest predicted screening probabilities had screening rates far below universal screening targets. This finding underscores that favorable patient-level characteristics alone cannot compensate for the absence of an automated screening infrastructure.\u003c/p\u003e \u003cp\u003eThe high prevalence of missed opportunities further underscores this knowledge gap. Many patients with multiple primary care visits remained unscreened, indicating that repeated healthcare contact alone did not ensure the delivery of preventive services. Similar patterns have been reported for other preventive services, including colorectal cancer screening and HIV testing, within safety-net health systems\u003csup\u003e17,18\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eTaken together, these findings support a shift from visit-based, clinician-dependent screening toward automated, system-level approaches. Electronic health record prompts, standing laboratory orders, risk-based screening tools, and population health outreach strategies have been shown to increase HCV screening in primary care settings\u003csup\u003e13,14,19\u0026ndash;21\u003c/sup\u003e. Such interventions may be particularly important in safety net systems, where competing clinical demands limit the feasibility of purely visit-based screening strategies.\u003c/p\u003e \u003cp\u003eSeveral limitations of this study should be considered when interpreting these findings. First, the retrospective study design limits causal inference, and unmeasured factors, such as provider-level practices or clinic-specific workflows, may influence screening patterns. Second, HCV testing performed outside the health system may not have been captured, potentially leading to underestimation of screening completion. Third, language preference and ethnicity were derived from the EHR registration fields and may have been subject to misclassification. Fourth, this study reflects the experience within a single safety-net health system and may not be fully generalizable to other practice settings. Finally, the study period (November 2023-October 2024) occurred several years after the peak disruption of healthcare services caused by the COVID-19 pandemic. HCV screening and treatment were adversely affected during the pandemic, with HCV antibody testing dropping 59% in April 2020 and HCV RNA-positive results decreasing 62% in March 2020, remaining 39% below baseline through July 2020\u003csup\u003e3,25\u003c/sup\u003e. Treatment declined by 43% in May 2020 and remained low for the rest of 2020\u003csup\u003e25,26\u003c/sup\u003e. Although our study period is after the pandemic, ongoing workflow issues or incomplete recovery of screening infrastructure might have contributed to the low screening rates observed. Conversely, the very low 4% screening rate suggests that even before the pandemic, implementation was likely inadequate in this safety-net setting, as national screening rates in community health centers ranged from 8.3% to 17.3% prior to COVID-19\u003csup\u003e6\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eDespite these limitations, this study has several strengths, including a large primary care population, detailed encounter-level data, and a comprehensive evaluation of missed opportunities among patients with repeated healthcare contact. By focusing on real-world implementation rather than guideline awareness alone, these findings provide insight into the structural barriers that may hinder progress toward HCV elimination.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eUniversal HCV screening remains substantially under-implemented in safety-net primary care, even among patients with frequent healthcare engagement. In this large, predominantly Hispanic cohort, only 4% of eligible adults completed screening, and nearly half represented missed opportunities despite multiple clinical encounters. System-level factors, particularly clinic workflows that may vary by language preference and insurance status, appear to drive screening patterns more than patient-level characteristics do.\u003c/p\u003e \u003cp\u003eThese findings support shifting from visit-based, clinician-dependent screening to automated, system-level approaches. Specific strategies to consider include EHR-integrated default screening orders that require active opt-out rather than opt-in; standing laboratory orders with reflex RNA testing to eliminate the need for repeated patient contact; best-practice advisories that automatically prompt providers when eligible patients are encountered; and direct-to-patient portal messaging with pre-authorized laboratory orders for engaged populations. Point-of-care testing using rapid antibody and RNA assays can further reduce barriers by providing same-day results and enabling immediate linkage to care. Implementing these strategies may be necessary to translate national screening recommendations into meaningful population coverage and to advance HCV elimination efforts in safety-net settings.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cul\u003e\n \u003cli\u003eaOR: Adjusted Odds Ratio\u003c/li\u003e\n \u003cli\u003eCDC: Centers for Disease Control and Prevention\u003c/li\u003e\n \u003cli\u003eCI: Confidence Interval\u003c/li\u003e\n \u003cli\u003eEHR: Electronic Health Record\u003c/li\u003e\n \u003cli\u003eHCV: Hepatitis C Virus\u003c/li\u003e\n \u003cli\u003eNHSR: Not Human Subjects Research\u003c/li\u003e\n \u003cli\u003eUSPSTF: United States Preventive Services Task Force\u003c/li\u003e\n \u003cli\u003eUTRGV: University of Texas Rio Grande Valley\u003c/li\u003e\n\u003c/ul\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was reviewed by the University of Texas Rio Grande Valley Institutional Review Board and was determined to be Not Human Subjects Research (NHSR), as the analysis involved retrospective review of de-identified electronic health record data. Informed consent was waived.\u003c/p\u003e\n\u003cp\u003eClinical trial number: not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets analyzed during the current study are not publicly available due to patient privacy considerations and institutional data governance policies, but are available from the corresponding author on reasonable request and with appropriate institutional approvals.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors used artificial intelligence tools (OpenEvidence and ChatGPT) to assist with literature review and manuscript editing. All AI-generated content was critically reviewed and edited by the authors, who take full responsibility for the final manuscript. The abstract will be presented at Digestive Disease Week 2026 in Chicago, IL, USA.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eHall EW, Bradley H, Barker LK, Lewis KC, Shealey J, Valverde E, et al. Estimating hepatitis C prevalence in the United States, 2017-2020. Hepatology. 2025;81(2):625-636. doi:10.1097/HEP.0000000000000927\u003c/li\u003e\n \u003cli\u003eHofmeister MG, Symum H, Swanson BE, Barker LK, Zhong Y, Kaufman HW, et al. Estimated hepatitis C prevalence and viral clearance using residual sera from a large commercial laboratory-November 2023-September 2024. Clin Infect Dis. 2026. doi:10.1093/cid/ciag007\u003c/li\u003e\n \u003cli\u003eBhattacharya D, Aronsohn A, Price J, Lo Re V; AASLD-IDSA HCV Guidance Panel. Hepatitis C Guidance 2023 Update: AASLD-IDSA Recommendations for Testing, Managing, and Treating Hepatitis C Virus Infection. Clin Infect Dis. 2024;78(2):e15-e35. doi:10.1093/cid/ciad319\u003c/li\u003e\n \u003cli\u003eFalade-Nwulia O, Kelly SM, Amanor-Boadu S, Nnodum BN, Lim JK, Sulkowski M. Hepatitis C in Black Individuals in the US: A Review. JAMA. 2023;330(22):2200-2208. doi:10.1001/jama.2023.21981\u003c/li\u003e\n \u003cli\u003eHaukoos J, Rothman RE, Galbraith JW, Hopkins E, Hsieh YH, Lyle C, et al. Hepatitis C Screening in Emergency Departments: The DETECT Hep C Randomized Clinical Trial. JAMA. 2025;334(6):497-507. doi:10.1001/jama.2025.10563\u003c/li\u003e\n \u003cli\u003eUS Preventive Services Task Force, Owens DK, Davidson KW, Krist AH, Barry MJ, Cabana M, et al. Screening for Hepatitis C Virus Infection in Adolescents and Adults: US Preventive Services Task Force Recommendation Statement. JAMA. 2020;323(10):970-975. doi:10.1001/jama.2020.1123\u003c/li\u003e\n \u003cli\u003eManess DL, Riley E, Studebaker G. Hepatitis C: Diagnosis and Management. Am Fam Physician. 2021;104(6):626-635.\u003c/li\u003e\n \u003cli\u003eLebovics E, Torres R, Porter LK. Primary Care Perspectives on Hepatitis C Virus Screening, Diagnosis and Linking Patients to Appropriate Care. Am J Med. 2017;130(2):S1-S2. doi:10.1016/j.amjmed.2017.01.001\u003c/li\u003e\n \u003cli\u003eSchillie S, Wester C, Osborne M, Wesolowski L, Ryerson AB. CDC Recommendations for Hepatitis C Screening Among Adults - United States, 2020. MMWR Recomm Rep. 2020;69(2):1-17. doi:10.15585/mmwr.rr6902a1\u003c/li\u003e\n \u003cli\u003eChhatwal J, Wang X, Ayer T, Kabiri M, Chung RT, Hur C, et al. Hepatitis C Disease Burden in the United States in the era of oral direct-acting antivirals. Hepatology. 2016;64(5):1442-1450. doi:10.1002/hep.28571\u003c/li\u003e\n \u003cli\u003eSripongpun P, Udompap P, Mannalithara A, Downing NL, Vidovszky AA, Kwong AJ, et al. Hepatitis C Screening in Post-Baby Boomer Generation Americans: One Size Does Not Fit All. Mayo Clin Proc. 2023;98(9):1335-1344. doi:10.1016/j.mayocp.2023.02.009\u003c/li\u003e\n \u003cli\u003eDitah I, Al Bawardy B, Gonzalez HC, Saberi B, Ditah C, Kamath PS, et al. Lack of health insurance limits the benefits of hepatitis C virus screening: insights from the National Health and Nutrition Examination Hepatitis C follow-up study. Am J Gastroenterol. 2015;110(8):1126-1133. doi:10.1038/ajg.2015.31\u003c/li\u003e\n \u003cli\u003eDrainoni ML, Litwin AH, Smith BD, Koppelman EA, McKee MD, Christiansen CL, et al. Effectiveness of a risk screener in identifying hepatitis C virus in a primary care setting. Am J Public Health. 2012;102(11):e115-e121. doi:10.2105/AJPH.2012.300659\u003c/li\u003e\n \u003cli\u003eTurner BJ, Rochat A, Lill S, Bobadilla R, Hernandez L, Choi A, et al. Hepatitis C Virus Screening and Care: Complexity of Implementation in Primary Care Practices Serving Disadvantaged Populations. Ann Intern Med. 2019;171(12):865-874. doi:10.7326/M18-3573\u003c/li\u003e\n \u003cli\u003eJain MK, Rich NE, Ahn C, Turner BJ, Sanders JM, Adamson B, et al. Evaluation of a Multifaceted Intervention to Reduce Health Disparities in Hepatitis C Screening: A Pre-Post Analysis. Hepatology. 2019;70(1):40-50. doi:10.1002/hep.30638\u003c/li\u003e\n \u003cli\u003eBrady JE, Liffmann DK, Yartel A, Kil N, Federman AD, Kannry J, et al. Uptake of hepatitis C screening, characteristics of patients tested, and intervention costs in the BEST-C study. Hepatology. 2017;65(1):44-53. doi:10.1002/hep.28880\u003c/li\u003e\n \u003cli\u003eGupta S, Halm EA, Rockey DC, Hammons M, Koch M, Carter E, et al. Comparative effectiveness of fecal immunochemical test outreach, colonoscopy outreach, and usual care for boosting colorectal cancer screening among the underserved: a randomized clinical trial. JAMA Intern Med. 2013;173(18):1725-1732. doi:10.1001/jamainternmed.2013.9294\u003c/li\u003e\n \u003cli\u003eHoover JB, Tao G, Heffelfinger JD. Monitoring HIV testing at visits to emergency departments in the United States: very-low rate of HIV testing. J Acquir Immune Defic Syndr. 2013;62(1):90-94. doi:10.1097/QAI.0b013e3182742933\u003c/li\u003e\n \u003cli\u003eKonerman MA, Thomson M, Gray K, Moore M, Choxi H, Seif E, et al. Impact of an electronic health record alert in primary care on increasing hepatitis c screening and curative treatment for baby boomers. Hepatology. 2017;66(6):1805-1813. doi:10.1002/hep.29362\u003c/li\u003e\n \u003cli\u003eSidlow R, Msaouel P. Improving Hepatitis C Virus Screening Rates in Primary Care: A Targeted Intervention Using the Electronic Health Record. J Healthc Qual. 2015;37(5):319-323. doi:10.1097/JHQ.0000000000000010\u003c/li\u003e\n \u003cli\u003eBarocas JA, Brennan MB, Hull SJ, Stokes S, Fangman JJ, Westergaard RP. Barriers and facilitators of hepatitis C screening among people who inject drugs: a multi-city, mixed-methods study. Harm Reduct J. 2014;11:1. doi:10.1186/1477-7517-11-1\u003c/li\u003e\n \u003cli\u003eMehta SJ, Torgersen J, Small DS, Mallozzi CP, McGreevey JD 3rd, Rareshide CAL, et al. Effect of a Default Order vs an Alert in the Electronic Health Record on Hepatitis C Virus Screening Among Hospitalized Patients: A Stepped-Wedge Randomized Clinical Trial. JAMA Netw Open. 2022;5(3):e222427. doi:10.1001/jamanetworkopen.2022.2427\u003c/li\u003e\n \u003cli\u003eHalket D, Dang J, Phadke A, Jayasekera C, Kim WR, Kwo P, et al. Targeted Electronic Patient Portal Messaging Increases Hepatitis C Virus Screening in Primary Care: a Randomized Study. J Gen Intern Med. 2022;37(13):3318-3324. doi:10.1007/s11606-022-07460-1\u003c/li\u003e\n \u003cli\u003eMartinello M, Solomon SS, Terrault NA, Dore GJ. Hepatitis C. Lancet. 2023;402(10407):1085-1096. doi:10.1016/S0140-6736(23)01320-X\u003c/li\u003e\n \u003cli\u003eKaufman HW, Bull-Otterson L, Meyer WA 3rd, Huang X, Doshani M, Thompson WW, et al. Decreases in Hepatitis C Testing and Treatment During the COVID-19 Pandemic. Am J Prev Med. 2021;61(3):369-376. doi:10.1016/j.amepre.2021.03.011\u003c/li\u003e\n \u003cli\u003eHoenigl M, Abramovitz D, Flores Ortega RE, Martin NK, Reau N. Sustained Impact of the Coronavirus Disease 2019 Pandemic on Hepatitis C Virus Treatment Initiations in the United States. Clin Infect Dis. 2022;75(1):e955-e961. doi:10.1093/cid/ciac175\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-infectious-diseases","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"infd","sideBox":"Learn more about [BMC Infectious Diseases](http://bmcinfectdis.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/infd","title":"BMC Infectious Diseases","twitterHandle":"#bmcinfectdis","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Hepatitis C Virus, screening, population health, medically underserved population, insurance coverage, primary care, language","lastPublishedDoi":"10.21203/rs.3.rs-9352801/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9352801/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eUniversal hepatitis C virus (HCV) screening is recommended for all adults in the US, but its implementation in primary care is inconsistent. We evaluated screening rates and missed opportunities in a large, predominantly Hispanic, safety-net primary care population.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003e We conducted a retrospective cohort study of adults aged\u0026thinsp;\u0026ge;\u0026thinsp;18 years who received care at University of Texas Rio Grande Valley\u0026ndash;affiliated clinics between November 1, 2023, and October 31, 2024. HCV screening completion was defined as an antibody test with laboratory results and, when the antibody test was positive, reflex RNA testing. Missed opportunity was defined as remaining unscreened despite \u0026ge;\u0026thinsp;2 primary care encounters. Multivariable logistic regression was used to identify independent predictors of screening completion and missed opportunities.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eAmong 26,686 eligible patients, only 1,063 (4.0%) completed screening, whereas 25,623 (96.0%) remained unscreened. More than half (52.8%) had\u0026thinsp;\u0026ge;\u0026thinsp;2 visits, and 93.2% met criteria for a missed opportunity. Screening increased with visit frequency but remained low overall (0.8% with 1 visit vs. 9.1% with \u0026ge;\u0026thinsp;4 visits). In multivariable analysis, Spanish-language preference (aOR, 3.44; 95% CI, 2.93\u0026ndash;4.03) and public insurance (aOR, 3.05; 95% CI, 2.54\u0026ndash;3.67) were strongly associated with screening completion. Each visit increased screening odds (aOR 1.20, 95% CI 1.18\u0026ndash;1.23) but was also strongly associated with missed opportunities (aOR 8.66, 95% CI 8.20\u0026ndash;9.15).\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eHCV screening rates were significantly low despite frequent healthcare visits, with many missed opportunities in this safety-net population. System-level factors, rather than patient characteristics alone, appear to drive screening gaps. Automating screening and reducing reliance on visit-based clinician decisions are essential for increasing uptake and advancing HCV elimination efforts.\u003c/p\u003e","manuscriptTitle":"Missed Opportunities for Universal Hepatitis C Screening in a Predominantly Hispanic Safety- Net Population: A Retrospective Cohort Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-05-09 00:18:04","doi":"10.21203/rs.3.rs-9352801/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2026-05-18T15:02:26+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-01T07:51:39+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-30T02:23:10+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"170099624729569435857845002030481391468","date":"2026-04-28T15:24:55+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"305256337000345264159849306959386786542","date":"2026-04-27T07:59:41+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"36785871783265181629945127722165724539","date":"2026-04-24T15:39:08+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"269540369191401879618982833614447308756","date":"2026-04-24T12:28:10+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-04-24T12:01:17+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2026-04-10T06:42:51+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-04-09T10:54:33+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-04-09T10:53:34+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Infectious Diseases","date":"2026-04-08T06:39:19+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-infectious-diseases","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"infd","sideBox":"Learn more about [BMC Infectious Diseases](http://bmcinfectdis.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/infd","title":"BMC Infectious Diseases","twitterHandle":"#bmcinfectdis","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a71f5649-4bbc-44d5-a30a-6b9d8bf3a940","owner":[],"postedDate":"May 9th, 2026","published":true,"recentEditorialEvents":[{"type":"editorInvitedReview","content":"","date":"2026-05-18T15:02:26+00:00","index":59,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-01T07:51:39+00:00","index":58,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-30T02:23:10+00:00","index":57,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-05-09T00:18:04+00:00","versionOfRecord":[],"versionCreatedAt":"2026-05-09 00:18:04","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9352801","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9352801","identity":"rs-9352801","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}