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Recently, the Medical University of South Carolina adopted a lecture recording system (LRS). A retrospective study of LRS was implemented to document the students' perceptions, pattern of usage, and impact on the students' grades in three basic sciences courses (Cell Biology/Histology, Physiology, and Neurosciences). The number of accesses and length of viewings of the recordings were recorded per week for each student and correlated with the grades in each of the three courses. Attendance records were not available. The results showed considerable variability in the use of the LRS by both faculty and students during the entire semester and across all three courses, including week to week variations. Data indicated that 30% of the students did not use the LRS at all with 41% of the students using it very little (less than 10 times for a total of 131 recordings). Specific patterns of usage were identified for each of the three courses throughout the semester, with an increase in access prior or during examination weeks. However, the statistical analysis showed that there was no correlation between the final grades and the usage of LRS. Finally, a survey of the students' perception showed that 74% agreed/strongly agreed that the recordings were useful with 6% disagreeing/strongly disagreeing and 11% undecided. This study showed that the use of LRS might be a viable alternative for students unable to attend lecture due to circumstances such as illness but that more research is needed to truly understand the best pedagogical use of LRS. (Contains 4 figures.)

Background: People living with lupus may experience poor access to primary care and delayed specialty care.Purpose: To identify characteristics that lead to increased odds of poor access to primary care for minorities hospitalized with lupus.Methods: Cross-sectional design with 2011-2012 hospitalization data from South Carolina, North Carolina, and Florida. We used ICD-9 codes to identify lupus hospitalizations. Ambulatory care sensitive conditions were used to identify preventable lupus hospitalizations and measure access to primary care. Logistic regression was used to estimate the odds ratio for the association between predictors and having poor access to primary care. Sensitivity analysis excluded patients aged >65 years.Results: There were 23,154 total lupus hospitalizations, and 2,094 (9.04%) were preventable. An adjusted model showed minorities aged ≥65 years (OR 2.501, CI 1.501, 4.169), minorities aged 40-64 years (OR 2.248, CI: 1.394, 3.627), minorities with Medicare insurance (OR 1.669, CI:1.353,2.059) and minorities with Medicaid (OR 1.662,CI:1.321, 2.092) had the highest odds for a preventable lupus hospitalization. Minorities with Medicare had significantly higher odds for ≥3 hospital days (OR 1.275, CI: 1.149, 1.415). Whites with Medicare (OR 1.291, CI: 1.164, 1.432) had the highest odds for ≥3 days.Conclusions: Our data show that middle-aged minorities living with lupus and on public health insurance have a higher likelihood of poor access to primary care. Health care workers and policymakers should develop plans to identify patients, explore issues affecting access, and place patients with a community health worker or social worker to promote better access to primary care. [ABSTRACT FROM AUTHOR]

Rationale, aims and objectives Develop a risk-stratification model that clusters primary care patients with similar co-morbidities and social determinants and ranks 'within-practice' clusters of complex patients based on likelihood of hospital and emergency department (ED) utilization. Methods A retrospective cohort analysis was performed on 10 408 adults who received their primary care at the Medical University of South Carolina University Internal Medicine clinic. A two-part generalized linear regression model was used to fit a predictive model for ED and hospital utilization. Agglomerative hierarchical clustering was used to identify patient subgroups with similar co-morbidities. Results Factors associated with increased risk of utilization included specific disease clusters {e.g. renal disease cluster [rate ratio, RR = 5.47; 95% confidence interval (CI; 4.54, 6.59) P < 0.0001]}, low clinic visit adherence [RR = 0.33; 95% CI (0.28, 0.39) P < 0.0001] and census measure of high poverty rate [RR = 1.20; 95% CI (1.11, 1.28) P < 0.0001]. In the cluster model, a stable group of four clusters remained regardless of the number of additional clusters forced into the model. Although the largest number of high-utilization patients (top 20%) was in the multiple chronic condition cluster (1110 out of 4728), the largest proportion of high-utilization patients was in the renal disease cluster (67%). Conclusions Risk stratification enhanced with disease clustering organizes a primary care population into groups of similarly complex patients so that care coordination efforts can be focused and value of care can be maximized. [ABSTRACT FROM AUTHOR]

BACKGROUND: African Americans (AAs) have reduced access to kidney transplant (KTX). Our center undertook a multilevel quality improvement endeavor to address KTX access barriers, focused on vulnerable populations. This program included dialysis center patient/staff education, embedding telehealth services across South Carolina, partnering with community providers to facilitate testing/procedures, and increased use of high-risk donors. STUDY DESIGN: This was a time series analysis from 2017 to 2021 using autoregression to assess trends in equitable access to KTX for AAs. Equity was measured using a modified version of the Kidney Transplant Equity Index (KTEI), defined as the proportion of AAs in South Carolina with end-stage kidney disease (ESKD) vs the proportion of AAs initiating evaluation, completing evaluation, waitlisting, and undergoing KTX. A KTEI of 1.00 is considered complete equity; a KTEI of <1.00 is indicative of disparity. RESULTS: From January 2017 to September 2021, 11,487 ESKD patients (64.7% AA) were referred, 6,748 initiated an evaluation (62.8% AA), 4,109 completed evaluation (59.7% AA), 2,762 were waitlisted (60.0% AA), and 1,229 underwent KTX (55.3% AA). The KTEI for KTX demonstrated significant improvements in equity. The KTEI for initiated evaluations was 0.89 in 2017, improving to 1.00 in 2021 (p = 0.0045). Completed evaluation KTEI improved from 0.85 to 0.95 (p = 0.0230), while waitlist addition KTEI improved from 0.83 to 0.96 (p = 0.0072). The KTEI for KTX also improved from 0.76 to 0.91, which did not reach statistical significance (p = 0.0657). CONCLUSIONS: A multilevel intervention focused on improving access to vulnerable populations was significantly associated with reduced disparities for AAs. [ABSTRACT FROM AUTHOR]

Study Design.: Retrospective administrative database review. Objective.: Analyze patterns of opioid use in patients undergoing lumbar surgery and determine associated risk factors in a Medicaid population. Summary of Background Data.: Opioid use in patients undergoing surgery for degenerative lumbar spine conditions is prevalent and impacts outcomes. There is limited information defining the scope of this problem in Medicaid patients. Materials and Methods.: Longitudinal cohort study of adult South Carolina (SC) Medicaid patients undergoing lumbar surgery from 2014 to 2017. All patients had continuous SC Medicaid coverage for 15 consecutive months, including six months before and nine months following surgery. The primary outcome was a longitudinal assessment of postoperative opioid use to determine trajectories and group-based membership using latent modeling. Univariate and multivariable modeling was conducted to assess risk factors for group-based trajectory modeling and chronic opioid use (COU). Results.: A total of 1455 surgeries met inclusion criteria. Group-based trajectory model demonstrated patients fit into five groups; very low use (23.4%), rapid wean following surgery (18.8%), increasing use following surgery (12.9%), slow wean following surgery (12.6%) and sustained high use (32.2%). Variables predicting membership in high opioid use included preoperative opioid use, younger age, longer length of stay, concomitant medications, and readmissions. More than three quarter of patients were deemed COUs (76.4%). On bivariate analysis, patients with degenerative disk disease were more likely to be COUs (24.8% vs. 18.6%; P =0.0168), more likely to take opioids before surgery (88.5% vs. 61.9%; P <0.001) and received higher amounts of opioids during the 30 days following surgery (mean morphine milligram equivalents 59.6 vs. 25.1; P <0.001). Conclusions.: Most SC Medicaid patients undergoing lumbar elective lumbar spine surgery were using opioids preoperatively and continued long-term use postoperatively at a higher rate than previously reported databases. Preoperative and perioperative intake, degenerative disk disease, multiple prescribers, depression, and concomitant medications were significant risk factors. [ABSTRACT FROM AUTHOR]

Background: Surgical quality improvement efforts are challenging due to the multidisciplinary nature of care, difficulties obtaining reliable data, and variability in quality metrics. The objective of this analysis was to assess whether participation in a regional collaborative quality initiative was associated with decreased in-hospital surgical complication in South Carolina.Study Design: In-hospital surgical complication rates were determined using a statewide all-payer claims data set. Retrospective, univariate, and longitudinal multivariable analyses were performed and adjustments were made to account for aggregated hospital-level patient characteristics.Results: The analysis included 275,387 general surgery cases performed in South Carolina hospitals between January 2016 and December 2018. Eight hospitals involved in the South Carolina Surgical Quality Collaborative (SCSQC) performed 56,179 cases and 51 non-SCSQC hospitals performed 219,208 cases. Univariate analysis revealed SCSQC hospitals performed operations in older patients (p < 0.0001) and patients with higher mean Charlson Comorbidity Index scores (p < 0.0001). SCSQC hospitals had higher mean in-hospital surgical complication rates at the surgery level compared with non-SCSQC hospitals (8.3% vs 7.0%; p < 0.0001). However, in multivariable analyses, the rate ratio for in-hospital surgical complication in SCSQC hospitals was 0.994 (95% CI, 0.989 to 0.998; p = 0.008) per month compared with non-SCSQC hospitals. This suggests a 21.6% (95% CI, 7.2% to 39.6%) proportional decrease in the rate of in-hospital surgical complication during 3 years associated with participation in the regional collaborative quality initiative.Conclusions: Structured collaboration between facilities, reliable data abstraction support, timely data review, and active member participation resulted in outcomes improvements for participating hospitals compared with hospitals that did not participate in a regional collaborative quality initiative. [ABSTRACT FROM AUTHOR]

Tonsillectomy (with or without adenoidectomy) is a common pediatric surgical procedure requiring post-operative analgesia. Because of the respiratory depression effects of opioids, clinicians strive to limit the use of these drugs for analgesia post-tonsillectomy. The objective of this study was to identify demographic and medication use patterns predictive of persistent opioid dispensing (as a proxy for opioid use) to pediatric patients post-tonsillectomy. Retrospective cohort of South Carolina (USA) Medicaid-insured children and adolescents 0–18 years old without malignancy who had tonsillectomy in 2014–2017. We evaluated opioid dispensing pre-surgery and in the 30 days exposure period after hospital discharge. The main outcome, persistent opioid dispensing, was defined as any subject dispensed ≥1 opioid prescription 90–270 days after discharge. Group-based trajectory analyses described post-procedure opioid dispensing trajectories. There were 11,578 subjects representing 12,063 tonsillectomy procedures. Few (3.5%) procedures were followed by persistent opioid dispensing. Any opioid dispensing during the exposure period was associated with an increased odds of persistent opioid dispensing status during the follow up period (OR 1.51 for 1–6 days of exposure and OR 1.65 for 7–30 days of opioid exposure), as was pre-procedure opioid dispensing, having >1 tonsillectomy procedure, and having complex chronic medical conditions. Group-based trajectory analyses identified 4 distinct patterns of post-discharge opioid dispensing. Any opioid dispensing during the 30 days after tonsillectomy increased the odds of persistent opioid dispensing by > 50%. Multivariable and group-based trajectory analyses identified patient and procedure variables that correlate with persistent opioid dispensing, primarily driven by groups receiving pre-tonsillectomy opioids and a second group who experienced multiple episodes of tonsillectomy. • Any opioid dispensing in the 30 days after tonsillectomy increased odds of persistent opioid dispensing. • Risk factors for persistent dispensing include pre-surgical opioid dispensing and patient characteristics. • Clinicians can identify patients at risk for persistent opioid dispensing and devise care plans accordingly. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to examine outcomes of follow-up for persons with discordant fourth-generation HIV screening test results., Design: A retrospective chart review., Methods: We analyzed the electronic health record at the Medical University of South Carolina for a 10-year period spanning 2012-2022 to identify instances of discordant HIV screening test results, wherein initial antigen/antibody screening was positive, but reflex confirmatory testing for HIV-1 and HIV-2 antibodies was negative. We reviewed individual records to evaluate clinical follow-up and determine if the discordant test represented an acute HIV infection, a false-positive result, or was unresolved., Results: We identified 199 testing instances with discordant results. Most discordant results ( n  = 115) were subsequently determined to reflect a false-positive test, while 56 were unresolved without documented follow-up testing. Twenty-eight cases of acute HIV infection were identified of which 26 were linked to care within a month of initial testing. Two acute HIV cases were not identified in real time leading to delay in diagnosis and care. Testing done in the context of infectious symptoms and testing performed in the emergency department were associated with increased odds of a discordant test ultimately reflecting acute HIV infection., Conclusion: These results demonstrate the importance of appropriate and timely follow-up for discordant HIV screening test results., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Healthcare-facility-onset C.difficile LabID events are defined as positive stool samples collected >3 days after hospitalization. Using a definition of >72 hours, we found that 84 of 1013 cases (8.3%) identified as C. difficile LabID events were collected between 48 and 72 hours after admission.

Background: Incorporating tobacco treatment within lung cancer screening programs has the potential to influence cessation in high-risk smokers. We aimed to better understand the characteristics of smokers within a screening cohort, correlate those variables with downstream outcomes, and identify predictors of continued smoking., Methods: This study is a secondary analysis of the National Lung Screening Trial randomized clinical study. Tobacco dependence was evaluated by using the Fagerstrӧm Test for Nicotine Dependence, the Heaviness of Smoking Index, and time to first cigarette (TTFC); descriptive statistics were performed. Clinical outcomes (smoking cessation, lung cancer, and mortality) were assessed with descriptive statistics and χ 2 tests stratified according to nicotine dependence. Logistic and Cox regression models were used to study the influence of dependence on smoking cessation and mortality, respectively., Results: Patients with high dependence scores were less likely to quit smoking compared with low dependence smokers (TTFC OR, 0.50 [95% CI, 0.42-0.60]). Indicators of high dependence, as measured according to all three metrics, were associated with worsening clinical outcomes. TTFC showed that patients who smoked within 5 min of waking (indicating higher dependence) had higher rates of lung cancer (2.07% for > 60 min after waking vs 5.92% ≤ 5 min after waking; hazard ratio [HR], 2.56 [95% CI, 1.49-4.41]), all-cause mortality (5.38% for > 60 min vs 11.21% ≤ 5 min; HR, 2.19 [95% CI, 1.55-3.09]), and lung cancer-specific mortality (0.55% for > 60 min vs 2.92% for ≤ 5 min; HR, 4.46 [95% CI, 1.63-12.21])., Conclusions: Using TTFC, a one-question assessment of tobacco dependence, at the time of lung cancer screening has implications for personalizing tobacco treatment and improving risk assessment., (Copyright © 2018 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Background: Multi-morbidity, or the presence of multiple chronic diseases, is a major problem in clinical care and is associated with worse outcomes. Additionally, the presence of mental health conditions, such as depression, anxiety, etc., has further negative impact on clinical outcomes. However, most health systems are generally configured for management of individual diseases instead of multi-morbidity. The study examined the prevalence and differential impact of medical and psychiatric multi-morbidity on risk of death in adults with diabetes., Methods: A national cohort of 625,903 veterans with type 2 diabetes was created by linking multiple patient and administrative files from 2002 through 2006. The main outcome was time to death. Primary independent variables were numbers of medical and psychiatric comorbidities over the study period. Covariates included age, gender, race/ethnicity, marital status, area of residence, service connection, and geographic region. Cox regression was used to model the association between time to death and multi-morbidity adjusting for relevant covariates., Results: Hypertension (78%) and depression (13%) were the most prevalent medical and psychiatric comorbidities, respectively; 23% had 3+ medical comorbidities, 3% had 2+ psychiatric comorbidities and 22% died. Among medical comorbidities, mortality risk was highest in those with congestive heart failure (hazard ratio, HR = 1.92; 95% CI 1.89-1.95), Lung disease (HR = 1.42; 95% CI 1.40-1.44) and cerebrovascular disease (HR = 1.39; 95% CI 1.37-1.40). Among psychiatric comorbidities, mortality risk was highest in those with substance abuse (HR = 1.50; 95% CI 1.46-1.54), psychoses (HR = 1.16; 95% CI 1.14-1.19) and depression (HR = 1.05; 95% CI 1.03-1.07). There was an interaction between medical and psychiatric comorbidity (p = 0.003) so stratified analyses were performed. HRs for effect of 3+ medical comorbidity (2.63, 2.66, 2.15) remained high across levels of psychiatric comorbidities (0, 1, 2+), respectively. HRs for effect of 2+ psychiatric comorbidity (1.69, 1.63, 1.42, 1.38) declined across levels of medical comorbidity (0, 1, 2, 3+), respectively., Conclusions: Medical and psychiatric multi-morbidity are significant predictors of mortality among older adults (veterans) with type 2 diabetes with a graded response as multimorbidity increases.

Background: Quantile regression, a robust semi-parametric approach, was used to examine the impact of gestational diabetes mellitus (GDM) across birthweight quantiles with a focus on maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG)., Methods: Using linked birth certificate, inpatient hospital and prenatal claims data we examined live singleton births to non-Hispanic white (NHW, 135,119) and non-Hispanic black (NHB, 76,675) women in South Carolina who delivered 28-44 weeks gestation in 2004-2008., Results: At a maternal BMI of 30 kg/m² at the 90(th) quantile of birthweight, exposure to GDM was associated with birthweights 84 grams (95% CI 57, 112) higher in NHW and 132 grams (95% CI: 104, 161) higher in NHB. Results at the 50(th) quantile were 34 grams (95% CI: 17, 51) and 78 grams (95% CI: 56, 100), respectively. At a maternal GWG of 13.5 kg at the 90(th) quantile of birthweight, exposure to GDM was associated with birthweights 83 grams (95% CI: 57, 109) higher in NHW and 135 grams (95% CI: 103, 167) higher in NHB. Results at the 50(th) quantile were 55 grams (95% CI: 40, 71) and 69 grams (95% CI: 46, 92), respectively., Summary: Our findings indicate that GDM, maternal prepregnancy BMI and GWG increase birthweight more in NHW and NHB infants who are already at the greatest risk of macrosomia or being large for gestational age (LGA), that is those at the 90(th) rather than the median of the birthweight distribution.

This study examined the association between medically attended traumatic brain injury (TBI) and in-prison behavioral infractions in a statewide population by comparing rate ratios of infractions in inmates with and without TBI over an 11.5-year period (16,299 males and 1,270 females). The in-prison behavioral infraction rate was significantly increased in males with TBI compared with no TBI for all infractions (RR = 1.32, 95% CI: 1.12, 1.55), violent infractions (RR = 1.86, 95% CI: 1.54, 2.24), and nonviolent infractions (RR = 1.19, 95% CI: 1.00, 1.41). The violent behavioral infraction rate was significantly increased in females with TBI compared with no TBI (RR = 2.44, 95% CI: 1.45, 4.12). A clearer understanding of inmates with a history of TBI and further examination of the association of TBI and behavioral infractions are needed.

Objectives: Studies have reported potential underuse of surgical resection in black patients with nonmetastatic colorectal cancer. Our objective was to determine the independent, adverse effect of race on surgical resection, controlling for tumor location, comorbidity, and socioeconomic/insurance status., Methods: All cases of nonmetastatic colon/rectal cancer reported to our state's Central Cancer Registry from 1996 to 2002 were identified and linked to Inpatient/Outpatient Surgery Files and the 2000 Census. Comorbidity (Deyo-Charlson Index) was calculated using ICD-9-CM codes and educational level/income were estimated at the zip code level. Characteristics between whites and blacks were compared using [chi]2 tests. Odds ratios (OR) of resection were calculated using logistic regression analysis., Results: We identified 5590/1932 white and 1906/466 black patients with colon/rectal cancer. Blacks were more likely to be younger, not married, rural, less educated, live in poverty, and uninsured/covered by Medicaid compared with whites (all P < 0.001). Underuse of surgery was far greater among blacks with rectal cancer (82.0% vs. 89.3% in whites, P< 0.001) compared with blacks with colon cancer (92.9% vs. 94.5% in whites, P < 0.001). After controlling for comorbidity/socioeconomic/insurance status and tumor location, the adjusted OR (95% CI) for resection for blacks with colon cancer and blacks with rectal cancer living in poverty were 0.67 (0.51–0.88) and 0.20 (0.07–0.57), respectively., Conclusions: Black race is a powerful, independent predictor of underuse of surgery in rectal cancer patients living in poverty. It is incumbent on the gastroenterology/surgical community to determine whether misperceptions about rectal surgery or barriers to successfully navigating multidisciplinary, rectal cancer care may account for these disparities.

Background: Early studies using Medicare data reported racial disparities in surgical treatment of localized, non-small cell lung cancer. We analyzed the independent effect of race on use of surgical resection in a recent, population-based sample of patients with localized non-small cell lung cancer, controlling for comorbidity and socioeconomic status., Methods: All cases of localized non-small cell lung cancer reported to our state Cancer Registry between 1996 and 2002 were identified and linked to the Inpatient/Outpatient Surgery Files and 2000 Census. Comorbidity (Romano-Charlson index) was calculated using administrative data codes. Educational level and income were estimated using census data. Characteristics of white and African American patients were compared using chi(2) tests. Odds ratios of resection and 95% confidence intervals were calculated using logistic regression., Results: We identified 2,506 white and 550 African American patients. African Americans were more likely to be younger, male, not married, less educated, poor, and uninsured or covered by Medicaid (all p < 0.0001), and to reside in rural communities (p = 0.0005). Use of surgical resection across races was lower than previously reported, and African Americans were significantly less likely to undergo surgery compared with whites (44.7% versus 63.4%; p < 0.0001). Even after controlling for sociodemographics, comorbidity, and tumor factors, the adjusted odds ratio for resection for African Americans was 0.43 (95% confidence interval, 0.34 to 0.55)., Conclusions: Underuse of surgical resection for localized, non-small cell lung cancer is a persistent problem, particularly among African Americans. Further studies are urgently needed to identify the patient-, physician-, and health system-related factors underlying these observations and optimize resection rates for non-small cell lung cancer.