Evaluation of a Multifaceted Intervention to Reduce Health Disparities in Hepatitis C Screening: A Pre-Post Analysis.

Hepatitis C virus (HCV) testing in persons born from 1945 to 1965 has had limited adoption despite guidelines, particularly among racial/ethnic minorities and socioeconomically disadvantaged patients, who have a higher prevalence of disease burden. We examined the effectiveness of a multifaceted intervention to improve HCV screening in a large safety-net health system. We performed a multifaceted intervention that included provider and patient education, an electronic medical record-enabled best practice alert, and increased HCV treatment capacity. We characterized HCV screening completion before and after the intervention. To identify correlates of HCV screening, we performed logistic regression for the preintervention and postintervention groups and used a generalized linear mixed model for patients observed in both preintervention and postintervention time frames. Before the intervention, 10.1% of 48,755 eligible baby boomer patients were screened. After the intervention, 34.6% of the 34,093 eligible baby boomers were screened (P < 0.0001). Prior to the intervention, HCV screening was lower among older baby boomers and providers with large patient panels and higher in high-risk subgroups including those with signs of liver disease (e.g., elevated transaminases, thrombocytopenia), human immunodeficiency virus-positive patients, and homeless patients. Postintervention, we observed increased screening uptake in older baby boomers, providers with larger patient panel size, and patients with more than one prior primary care appointment. Conclusion: Our multifaceted intervention significantly increased HCV screening, particularly among older patients, those engaged in primary care, and providers with large patient panels.

Screening initiation with FIT or colonoscopy: Post-hoc analysis of a pragmatic, randomized trial.

Screening with FIT or colonoscopy can reduce CRC mortality. In our pragmatic, randomized trial of screening outreach over three years, patients annually received mailed FITs or colonoscopy invitations. We examined screening initiation after each mailing and crossover from the invited to other modality. Eligible patients (50-64 years, ≥1 primary-care visit before randomization, and no history of CRC) received mailed FIT kits (n = 2400) or colonoscopy invitations (n = 2400) from March 2013 through July 2016. Among those invited for colonoscopy, we used multinomial logistic regression to identify factors associated with screening initiation with colonoscopy vs. FIT vs. no screening after the first mailing. Most patients were female (61.8%) and Hispanic (48.9%) or non-Hispanic black (24.0%). Among those invited for FIT, 56.6% (n = 1359) initiated with FIT, whereas 3.3% (n = 78) crossed over to colonoscopy; 151 (15.7%) and 61 (7.7%) initiated with FIT after second and third mailings. Among those invited for colonoscopy, 25.5% (n = 613) initiated with colonoscopy whereas 18.8% (n = 452) crossed over to FIT; 112 (8.4%) and 48 (4.2%) initiated with colonoscopy after second and third mailings. Three or more primary-care visits prior to randomization were associated with initiating with colonoscopy (OR 1.49, 95% CI 1.17-1.91) and crossing over to FIT (OR 1.63, 95% CI 1.19-2.23). Although nearly half of patients initiated screening after the first mailing, few non-responders in either outreach group initiated after a second or third mailing. More patients invited to colonoscopy crossed over to FIT than those assigned to FIT crossed over to colonoscopy.

Effects of program scale-up on time to resolution for patients with abnormal screening mammography results.

PURPOSE: Effects of geographic program expansion to rural areas on screening program outcomes are understudied. We sought to determine whether time-to-resolution (TTR) varied significantly by service delivery time period, location, and participant characteristics across 19 North Texas counties. METHODS: We calculated proportions undergoing diagnostic follow-up and resolved ≤ 60 days. We calculated median TTR for each time period and abnormal result BI-RADS 0, 4, 5. Cox proportional hazards regressions estimated time period and patient characteristic effects on TTR. Wilcoxon rank sum tests evaluated whether TTR differed between women who did or did not transfer between counties for services. RESULTS: TTR ranged from 14 to 17 days for BI-RADs 0, 4, and 5; 12.4% transferred to a different county, resulting in longer median TTR (26 vs. 16 days; p < .001). Of those completing follow-up, 92% were resolved ≤ 60 days (median 15 days). For BI-RAD 3, TTR was 208 days (including required 180 day waiting period). Follow-up was significantly lower for women with BI-RAD 3 (59% vs. 96%; p < .0001). CONCLUSION: Expansion maintained timely service delivery, increasing access to screening among rural, uninsured women. Policies adding a separate quality metric for BI-RAD 3 could encourage follow-up monitoring to address lower completion and longer TTR among women with this result.

Adherence to colorectal cancer screening measured as the proportion of time covered.

BACKGROUND AND AIMS: Colorectal cancer (CRC) screening can reduce CRC incidence and mortality, but measuring screening adherence over time is challenging. We examined adherence using a novel measure characterizing the proportion of time covered (PTC) by screening tests. METHODS: Eligible patients were age 50 to 60 years and followed at a large, safety-net health care system between January 2010 and September 2014. We estimated PTC as the number of days up to date with screening divided by the number of days from cohort entry until study end, CRC diagnosis, or death. We estimated mean and median PTC and used least-significant difference tests to assess differences in adherence by patient characteristics. RESULTS: Of 18,257 patients, most were non-Hispanic black (40.5%) or Hispanic (34.9%) and/or female (62.4%). Approximately 40% (n = 7559) were never screened during the study period; the remaining 10,698 patients completed 19,105 screening examinations (14,481 fecal immunochemical tests [FITs], 4393 colonoscopies, 94 sigmoidoscopies, and 137 barium enemas). Overall, the mean PTC was 29.1% (95% confidence interval [CI], 28.6%-29.5%). Among those who completed at least one screening test (n = 10,698), the mean PTC was 49.0% (95% CI, 48.5%-49.5%). The most common reasons for non-adherence were lack of repeat FIT and no diagnostic colonoscopy after abnormal results for the FIT. The mean PTC increased with the number of primary care visits (0 visits, 21%; 1 visit, 29%; 2-3 visits, 35%; ≥4 visits, 37%; all P < .05). CONCLUSIONS: PTC provides a reliable estimate of screening adherence, capturing breakdowns in the CRC screening process amenable to intervention. Repeat FIT and diagnostic colonoscopy are important intervention targets that may increase adherence in underserved populations.

Recommendation of colorectal cancer testing among primary care patients younger than 50 with elevated risk.

In the era of precision medicine, efforts are needed to identify and tailor screening recommendations among elevated-risk patients. Individuals younger than 50years are an important target population, as they comprise 15% of colorectal (CRC) cases and often present with more advanced disease than their 50+ counterparts. In this large study, 2470 patients ages 25-49 used a tablet-based program that assessed risks, matched risks with screening guidelines, and generated tailored printed guideline-concordant recommendations for patients and their providers. The tablet-based program identified 121 (4.9%) patients with risk factors warranting screening before age 50. Likelihood of risk warranting screening was greater for ages 40-49 than <40years (OR: 2.38), females than males (OR: 1.82), and African Americans (OR: 1.69) and non-Hispanic Whites (OR: 2.89) compared to Hispanics. Most common risk factors were family history of polyps (23.1%), personal history of inflammatory bowel disease (19.8%), and combined family history of CRC+polyps (18.2%). Receipt of guideline-concordant screening within 6months of identification was low, including only 5.3% of those who needed colonoscopy and 13.3% for whom colonoscopy or FIT was recommended. Although elevated-risk patients younger than 50years can be readily identified, more than notification is necessary to facilitate screening participation.

Effect of Colonoscopy Outreach vs Fecal Immunochemical Test Outreach on Colorectal Cancer Screening Completion: A Randomized Clinical Trial.

Importance: Mailed fecal immunochemical test (FIT) outreach is more effective than colonoscopy outreach for increasing 1-time colorectal cancer (CRC) screening, but long-term effectiveness may need repeat testing and timely follow-up for abnormal results. Objective: Compare the effectiveness of FIT outreach and colonoscopy outreach to increase completion of the CRC screening process (screening initiation and follow-up) within 3 years. Design, Setting, and Participants: Pragmatic randomized clinical trial from March 2013 to July 2016 among 5999 participants aged 50 to 64 years who were receiving primary care in Parkland Health and Hospital System and were not up to date with CRC screenings. Interventions: Random assignment to mailed FIT outreach (n = 2400), mailed colonoscopy outreach (n = 2400), or usual care with clinic-based screening (n = 1199). Outreach included processes to promote repeat annual testing for individuals in the FIT outreach group with normal results and completion of diagnostic and screening colonoscopy for those with an abnormal FIT result or assigned to colonoscopy outreach. Main Outcomes and Measures: Primary outcome was screening process completion, defined as adherence to colonoscopy completion, annual testing for a normal FIT result, diagnostic colonoscopy for an abnormal FIT result, or treatment evaluation if CRC was detected. Secondary outcomes included detection of any adenoma or advanced neoplasia (including CRC) and screening-related harms (including bleeding or perforation). Results: All 5999 participants (median age, 56 years; women, 61.9%) were included in the intention-to-screen analyses. Screening process completion was 38.4% in the colonoscopy outreach group, 28.0% in the FIT outreach group, and 10.7% in the usual care group. Compared with the usual care group, between-group differences for completion were higher for both outreach groups (27.7% [95% CI, 25.1% to 30.4%] for the colonoscopy outreach group; 17.3% [95% CI, 14.8% to 19.8%] for FIT outreach group), and highest in the colonoscopy outreach group (10.4% [95% CI, 7.8% to 13.1%] for the colonoscopy outreach group vs FIT outreach group; P < .001 for all comparisons). Compared with usual care, the between-group differences in adenoma and advanced neoplasia detection rates were higher for both outreach groups (colonoscopy outreach group: 10.3% [95% CI, 9.5% to 12.1%] for adenoma and 3.1% [95% CI, 2.0% to 4.1%] for advanced neoplasia, P < .001 for both comparisons; FIT outreach group: 1.3% [95% CI, -0.1% to 2.8%] for adenoma and 0.7% [95% CI, -0.2% to 1.6%] for advanced neoplasia, P < .08 and P < .13, respectively), and highest in the colonoscopy outreach group (colonoscopy outreach group vs FIT outreach group: 9.0% [95% CI, 7.3% to 10.7%] for adenoma and 2.4% [95% CI, 1.3% to 3.3%] for advanced neoplasia, P < .001 for both comparisons). There were no screening-related harms in any groups. Conclusions and Relevance: Among persons aged 50 to 64 years receiving primary care at a safety-net institution, mailed outreach invitations offering FIT or colonoscopy compared with usual care increased the proportion completing CRC screening process within 3 years. The rate of screening process completion was higher with colonoscopy than FIT outreach. Trial Registration: clinicaltrials.gov Identifier: NCT01710215.

Outreach invitations for FIT and colonoscopy improve colorectal cancer screening rates: A randomized controlled trial in a safety-net health system.

BACKGROUND: The effectiveness of colorectal cancer (CRC) screening is limited by underuse, particularly among underserved populations. Among a racially diverse and socioeconomically disadvantaged cohort of patients, the authors compared the effectiveness of fecal immunochemical test (FIT) outreach and colonoscopy outreach to increase screening participation rates, compared with usual visit-based care. METHODS: Patients aged 50 to 64 years who were not up-to-date with CRC screening but used primary care services in a large safety-net health system were randomly assigned to mailed FIT outreach (2400 patients), mailed colonoscopy outreach (2400 patients), or usual care with opportunistic visit-based screening (1199 patients). Patients who did not respond to outreach invitations within 2 weeks received follow-up telephone reminders. The primary outcome was CRC screening completion within 12 months after randomization. RESULTS: Baseline patient characteristics across the 3 groups were similar. Using intention-to-screen analysis, screening participation rates were higher for FIT outreach (58.8%) and colonoscopy outreach (42.4%) than usual care (29.6%) (P <.001 for both). Screening participation with FIT outreach was higher than that for colonoscopy outreach (P <.001). Among responders, FIT outreach had a higher percentage of patients who responded before reminders (59.0% vs 29.7%; P <.001). Nearly one-half of patients in the colonoscopy outreach group crossed over to complete FIT via usual care, whereas <5% of patients in the FIT outreach group underwent usual-care colonoscopy. CONCLUSIONS: Mailed outreach invitations appear to significantly increase CRC screening rates among underserved populations. In the current study, FIT-based outreach was found to be more effective than colonoscopy-based outreach to increase 1-time screening participation. Studies with longer follow-up are needed to compare the effectiveness of outreach strategies for promoting completion of the entire screening process.

Validation of self-reported post-treatment mammography surveillance among breast cancer survivors by electronic medical record extraction method.

Little is known about validity of self-reported mammography surveillance among breast cancer survivors. Most studies have focused on accuracy among healthy, average-risk populations and none have assessed validity by electronic medical record (EMR) extraction method. To assess validity of survivor-reported mammography post-active treatment care, we surveyed all survivors diagnosed 2004-2009 in an academic hospital cancer registry (n = 1441). We used electronic query and manual review to extract EMR data. Concordance, sensitivity, specificity, positive predictive value, and report-to-records ratio were calculated by comparing survivors' self-reports to data from each extraction method. We also assessed average difference in months between mammography dates by source and correlates of concordance. Agreement between the two EMR extraction methods was high (concordance 0.90; kappa 0.70), with electronic query identifying more mammograms. Sensitivity was excellent (0.99) regardless of extraction method; concordance and positive predictive value were good; however, specificity was poor (manual review 0.20, electronic query 0.31). Report-to-records ratios were both over 1 suggesting over-reporting. We observed slight forward telescoping for survivors reporting mammograms 7-12 months prior to survey date. Higher educational attainment and less time since mammogram receipt were associated with greater concordance. Accuracy of survivors' self-reported mammograms was generally high with slight forward telescoping among those recalling their mammograms between 7 and 12 months prior to the survey date. Results are encouraging for clinicians and practitioners relying on survivor reports for surveillance care delivery and as a screening tool for inclusion in interventions promoting adherence to surveillance guidelines.

Factors affecting brain structure in men with HIV disease in the post-HAART era.

INTRODUCTION: The purpose of this study was to characterize brain volumetric differences in HIV seropositive and seronegative men and to determine effects of age, cardiovascular risk, and HIV infection on structural integrity. METHODS: Magnetic resonance imaging was used to acquire high-resolution neuroanatomic data in 160 men aged 50 years and over, including 84 HIV seropositive and 76 seronegative controls. Voxel-based morphometry was used to derive volumetric measurements at the level of the individual voxel. Data from a detailed neuropsychological test battery were recombined into four summary scores representing psychomotor speed, visual memory, verbal memory, and verbal fluency. RESULTS: Both age and HIV status had a significant effect on both gray matter (GM) and white matter (WM) volume. The age-related GM atrophy was primarily in the superior temporal and inferior frontal regions; the HIV-related GM loss included the posterior and inferior temporal lobes, the parietal lobes, and the cerebellum. Among all subjects, the performance on neuropsychological tests, as indexed by a summary variable, was related to the volume of both the GM and WM. Contrary to our predictions, the CVD variables were not linked to brain volume in statistically adjusted models. CONCLUSION: In the post-HAART era, having HIV infection is still linked to atrophy in both GM and WM. Secondly, advancing age, even in this relatively young cohort, is also linked to changes in GM and WM volume. Thirdly, CNS structural integrity is associated with overall cognitive functions, regardless of the HIV infection status of the study volunteers.

Association of Clinician Behaviors and Weight Change in School-Aged Children.

INTRODUCTION: This study uses clinical practice data to determine whether recommended weight management clinician behaviors are associated with weight status improvement in children aged 6-12 years who are overweight or obese. METHODS: Electronic health record data (2009-2014) from 52 clinics were used. Weight status was examined from 1 visit to the next as dichotomous improvement (versus worsening or no change) and change in percentage overweight (over sex/age-specific BMI95). The primary predictor was a clinician behavior variable denoting attention to high BMI alone or with assessment of medical risk/comorbidities and was defined using combinations of diagnostic codes and electronic health record orders. Covariates included time between visits and medications associated with weight gain or loss. Adjusted multilevel regression models examined the association of the clinician behavior variable with weight status improvement. Analyses were conducted from 2015 to 2018. RESULTS: Children (n=7,205) had a mean age of 8.9 years; 45.5% were overweight, 54.5% obese, and 81.1% publicly insured. For 62% of overweight children, and 38%, 21%, and 11% of those in obesity classes 1-3, respectively, no attention to high BMI/medical risk assessment at any visit was identified. Children with evidence of clinician attention to high BMI alone and who underwent a medical risk assessment had significantly greater AOR of improvement in percentage of BMI95 and percentage of BMI95 change: BMI alone, AOR=1.2 (p<0.001) and ß= -0.3 (p>0.05); BMI/medical risk, AOR=1.2 and ß= -0.5 (both p<0.001). Other factors associated with weight status improvement included prescription medications (1 or more prescriptions associated with either weight loss or none associated with weight gain) and fewer months between visits. CONCLUSIONS: This is the first study to use electronic health record data to demonstrate that widely recommended clinician behaviors are associated with weight status improvement in children aged 6-12 years who are overweight or obese.