Electronic Health Record-Based Screening for Intimate Partner Violence: A Cluster Randomized Clinical Trial.

Importance: Intimate partner violence (IPV) is a significant public health issue, with a 25% lifetime prevalence. Screening for IPV in primary care is a recommended practice whose effectiveness is debated. Objective: To assess the effect of an electronic health record (EHR)-based multifactorial intervention screening on the detection of IPV risk in primary care practice. Design, Setting, and Participants: This cluster randomized clinical trial used a stepped-wedge design to assign 15 family medicine primary care clinics in the Medical University of South Carolina Health System in the Charleston region to 3 matched blocks from October 6, 2020, to March 31, 2023. All women aged 18 to 49 years who were seen in these clinics participated in this study. Intervention: A noninterruptive EHR alert combined with confidential screening by computer questionnaire using the EHR platform followed by risk assessment and a decision support template. Main Outcomes and Measures: The main outcomes were the rate at which patients were screened for IPV across the clinics and the rate at which patients at risk for IPV were detected by screening procedures. Results: The study clinics cared for 8895 unique patients (mean [SD] age, 34.6 [8.7] years; 1270 [14.3%] with Medicaid or Medicare and 7625 [85.7%] with private, military, or other insurance) over the study period eligible for the screening intervention. The intervention had significant effects on the overall rate of screening for IPV, increasing the rate of screening from 45.2% (10 268 of 22 730 patient visits) to 65.3% (22 303 of 34 157 patient visits) when the noninterruptive alert was active (relative risk, 1.46 [95% CI, 1.44-1.49]; P < .001). The confidential screening process was more effective than baseline nurse-led oral screening at identifying patients reporting past-year IPV (130 of 8895 patients [1.5%] vs 9 of 17 433 patients [0.1%]). Conclusions and Relevance: The intervention was largely effective in increasing screening adherence and the positive detection rate of IPV in primary care. A highly private approach to screening for IPV in primary care may be necessary to achieve adequate detection rates while addressing potential safety issues of patients experiencing IPV. Trial Registration: ClinicalTrials.gov Identifier: NCT06284148.

Prescription of Nicotine Replacement Therapy for Hospitalized Tobacco Users.

OBJECTIVES: In hospitalized patients, cigarette smoking is linked to increased readmission rates, emergency department visits, and overall mortality. Smoking cessation reduces these risks, but many patients who smoke are unsuccessful in quitting. Nicotine replacement therapy (NRT) is an effective tool that assists patients who smoke with quitting. This study evaluates NRT prescriptions during and after hospitalization at a large health system for patients who smoke. METHODS: A retrospective cohort study was conducted to determine the number of patients who were prescribed NRT during an inpatient admission and at time of discharge from a network of nine hospitals across South Carolina between January 1, 2019 and January 1, 2023. RESULTS: This study included 20,757 patients identified as actively smoking with at least one hospitalization during the study period. Of the cohort, 34.9% were prescribed at least one prescription for NRT during their admission to the hospital. Of the patients identified, 12.6% were prescribed NRT upon discharge from the hospital. CONCLUSIONS: This study identified significantly low rates of NRT prescribed to smokers during hospitalization and at discharge. Although the management of chronic conditions is typically addressed in the outpatient setting, hospitalization may provide an opportunity for patients to initiate health behavior changes. The low rates of prescriptions for NRT present an opportunity to improve tobacco treatment during hospitalization and beyond.

The stroke outcome optimization project: Acute ischemic strokes from a comprehensive stroke center.

Stroke is a leading cause of disability, and Magnetic Resonance Imaging (MRI) is routinely acquired for acute stroke management. Publicly sharing these datasets can aid in the development of machine learning algorithms, particularly for lesion identification, brain health quantification, and prognosis. These algorithms thrive on large amounts of information, but require diverse datasets to avoid overfitting to specific populations or acquisitions. While there are many large public MRI datasets, few of these include acute stroke. We describe clinical MRI using diffusion-weighted, fluid-attenuated and T1-weighted modalities for 1715 individuals admitted in the upstate of South Carolina, of whom 1461 have acute ischemic stroke. Demographic and impairment data are provided for 1106 of the stroke survivors from this cohort. Our validation demonstrates that machine learning can leverage the imaging data to predict stroke severity as measured by the NIH Stroke Scale/Score (NIHSS). We share not only the raw data, but also the scripts for replicating our findings. These tools can aid in education, and provide a benchmark for validating improved methods.

Rural veteran perception of healthcare access in South Carolina and Florida: a qualitative study.

BACKGROUND: Access to mental and physical healthcare in rural areas is challenging for Veterans and their families but essential for good health. Even though recent research has revealed some of the challenges rural Veterans face accessing healthcare, a complete understanding of the gap in access is still unclear. METHODS: This qualitative study aimed to explore participants' perceptions of healthcare access. Structured interviews were conducted with 124 Veterans and spouses of Veterans from rural qualifying counties in South Carolina and Florida. RESULTS: The study's results revealed five main dimensions of access: geographic proximity, transportation, communication, cultural competence, and resources. Distance to service needed can negatively impact access for Veterans and their families in general, especially for those whose health is declining or who cannot drive because of their age. Lack of transportation, problems with transportation services, and lack of public transportation can lead to delays in care. Additionally, the lack of communication with the Veterans Affairs (VA) Health System and with the healthcare team, as well as inefficient communication among the healthcare team, lack of coordination of care between the VA health system and community providers, and the lack of cultural competence of healthcare providers and contracted personnel made access to services even more challenging. CONCLUSIONS: Improving communication can help to develop a sense of trust between Veterans and the VA, and between Veterans and spouses with the healthcare team. It can also lead to increased patient satisfaction. Ensuring healthcare providers and contracted personnel are culturally competent to talk and treat Veterans can improve patient trust and adherence to treatment. Lastly, resource-related challenges included financial problems, lack of prompt access to appointments, lack of providers, limited access to local clinics and hospitals, limited local programs available, and reimbursement issues.

The association of travel burden with prenatal care utilization, what happens after provider-selection.

BACKGROUND: Birthing people in the United States face numerous challenges when accessing adequate prenatal care (PNC), with transportation being a significant obstacle. Nevertheless, previous studies that relied solely on the distance to the nearest provider cannot differentiate the effects of travel burden on provider selection and care utilization. These may exaggerate the degree of inequality in access and fail to capture perceived travel burden. This study investigated whether travel distances to the initially visited provider, to the predominant PNC provider, and perceived travel burden (measured by the travel disadvantage index (TDI)) are associated with PNC utilization. METHODS: A retrospective cohort of people with live births were identified from South Carolina Medicaid claims files in 2015-2018. Travel distances were calculated using Google Maps. The estimated TDI was derived from local pilot survey data. PNC utilization was measured by PNC initiation and frequency. Repeated measure logistic regression test was utilized for categorical variables and one-way repeated measures ANOVA for continuous variables. Unadjusted and adjusted ordinal logistic regressions with repeated measure were utilized to examine the association of travel burdens with PNC usage. RESULTS: For 25,801 pregnancies among those continuously enrolled in Medicaid, birthing people traveled an average of 24.9 and 24.2 miles to their initial and predominant provider, respectively, with an average TDI of -11.4 (SD, 8.5). Of these pregnancies, 60% initiated PNC in the first trimester, with an average of 8 total visits. Compared to the specialties of initial providers, predominant providers were more likely to be OBGYN-related specialists (81.6% vs. 87.9%, p < .001) and midwives (3.5% vs. 4.3%, p < .001). Multiple regression analysis revealed that every doubling of travel distance was associated with less likelihood to initiate timely PNC (OR: 0.95, p < .001) and a lower visit frequency (OR: 0.85, p < .001), and every doubling of TDI was associated with less likelihood to initiate timely PNC (OR: 0.94, p = .04). CONCLUSIONS: Findings suggest that the association between travel burden and PNC utilization was statistically significant but of limited practical significance.

Challenges of EHR "Meaningful Use" in Rural Health Centers.

The Centers for Disease Control and Prevention (CDC) continues to promote the utilization of electronic health records (EHRs) to support population health management and reduce disparities. However, access to EHRs with capabilities to disaggregate data or generate digital dashboards is not always readily available in rural areas. With funding from CDC's DP-18-1815, the Division of Diabetes and Heart Disease Management (Division) at the South Carolina Department of Health and Environmental Control designed a quality improvement initiative to reduce health disparities for people with hypertension and high blood cholesterol in rural areas. With support from a nonprofit partner, the Division used qualitative evaluation methods to evaluate the extent to which practices were able to disaggregate data and report quality measures.

Deep-Learning-Based detection of recreational vessels in an estuarine soundscape in the May River, South Carolina, USA.

This paper presents a deep-learning-based method to detect recreational vessels. The method takes advantage of existing underwater acoustic measurements from an Estuarine Soundscape Observatory Network based in the estuaries of South Carolina (SC), USA. The detection method is a two-step searching method, called Deep Scanning (DS), which includes a time-domain energy analysis and a frequency-domain spectrum analysis. In the time domain, acoustic signals with higher energy, measured by sound pressure level (SPL), are labeled for the potential existence of moving vessels. In the frequency domain, the labeled acoustic signals are examined against a predefined training dataset using a neural network. This research builds training data using diverse vessel sound features obtained from real measurements, with a duration between 5.0 seconds and 7.5 seconds and a frequency between 800 Hz to 10,000 Hz. The proposed method was then evaluated using all acoustic data in the years 2017, 2018, and 2021, respectively; a total of approximately 171,262 2-minute.wav files at three deployed locations in May River, SC. The DS detections were compared to human-observed detections for each audio file and results showed the method was able to classify the existence of vessels, with an average accuracy of around 99.0%.

"I Don't Believe That One": A Qualitative Study of Undetectable = Untransmittable Views Among Older Adults Living With HIV in South Carolina.

ABSTRACT: Undetectable = Untransmittable (U = U) means that people with HIV who achieve and maintain an undetectable viral load have effectively zero risk of sexually transmitting the virus to others. However, research on how U = U is perceived by older adults living with HIV (OAH) is currently lacking. This study explored U = U views among OAH. From October 2019 to February 2020, we conducted open-ended interviews with 24 OAH recruited at an HIV clinic in South Carolina. Interviews were audio-recorded and transcribed. We employed thematic analysis in this study. Three themes emerged from the analysis: (a) Conflicting beliefs in U = U; (b) Use condoms regardless; and (c) Fear of HIV reinfection. Despite strong scientific evidence supporting U = U, some OAH do not believe in U = U. This lack of belief could deprive OAH of the benefits U = U offers. Therefore, it is vital to educate OAH about U = U to enhance their understanding and belief in U = U.

Bridging the gaps in pediatric complex healthcare: the case for home nursing care among children with medical complexity.

BACKGROUND: Children with medical complexity (CMC) comprise < 1% of the pediatric population, but account for nearly one-third of healthcare expenditures. Further, while CMC account for up to 80% of pediatric inpatient hospital costs, only 2% of Medicaid spending is attributed to home healthcare. As a result, the current health system heavily relies on family caregivers to fill existing care gaps. This study aimed to: (1) examine factors associated with hospital admissions among CMC and (2) contextualize the potential for home nursing care to improve outcomes among CMC and their families in South Carolina (SC). METHODS: This mixed-methods study was conducted among CMC, their family caregivers, and physicians in SC. Electronic health records data from a primary care clinic within a large health system (7/1/2022-6/30/2023) was analyzed. Logistic regression examined factors associated with hospitalizations among CMC. In-depth interviews (N = 15) were conducted among physicians and caregivers of CMC statewide. Patient-level quantitative data is triangulated with conceptual findings from interviews. RESULTS: Overall, 39.87% of CMC experienced ≥ 1 hospitalization in the past 12 months. CMC with higher hospitalization risk were dependent on respiratory or neurological/neuromuscular medical devices, not non-Hispanic White, and demonstrated higher healthcare utilization. Interview findings contextualized efforts to reduce hospitalizations, and suggested adaptations related to capacity and willingness to provide complex care for CMC and their families. CONCLUSIONS: Findings may inform multi-level solutions for accessible, high-quality home nursing care among CMC and their families. Providers may learn from caregivers' insight to emphasize family-centered care practices, acknowledging time and financial constraints while optimizing the quality of medical care provided in the home.

Travel Burden and Timely Linkage to Care Among People Newly Diagnosed with HIV Infection in South Carolina from 2005 to 2020.

This retrospective study explored the association between travel burden and timely linkage to care (LTC) among people with HIV (PWH) in South Carolina. HIV care data were derived from statewide all-payer electronic health records, and timely LTC was defined as having at least one viral load or CD4 count record within 90 days after HIV diagnosis before the year 2015 and 30 days after 2015. Travel burden was measured by average driving time (in minutes) to any healthcare facility visited within six months before and one month after the initial HIV diagnosis. Multivariable logistic regression models with the least absolute shrinkage and selection operator were employed. From 2005 to 2020, 81.2% (3,547 out of 4,366) of PWH had timely LTC. Persons who had longer driving time (adjusted Odds Ratio (aOR): 0.37, 95% CI: 0.14-0.99), were male versus female (aOR: 0.73, 95% CI: 0.58-0.91), had more comorbidities (aOR: 0.73, 95% CI: 0.57-0.94), and lived in counties with a higher percentage of unemployed labor force (aOR: 0.21, 95% CI: 0.06-0.71) were less likely to have timely LTC. However, compared to those aged between 18 and 24 years old, those aged between 45 and 59 (aOR:1.47, 95% CI: 1.14-1.90) or older than 60 (aOR:1.71, 95% CI: 1.14-2.56) were more likely to have timely LTC. Concentrated and sustained interventions targeting underserved communities and the associated travel burden among newly diagnosed PWH who are younger, male, and have more comorbidities are needed to improve LTC and reduce health disparities.

Rural-urban and racial differences in cesarean deliveries before and during the COVID-19 pandemic in South Carolina.

PROBLEM: Unnecessary cesarean delivery increases the risk of complications for birthing people and infants. BACKGROUND: Examining the intersectionality of rural and racial disparities in low-risk cesarean delivery is necessary to improve equity in quality obstetrics care. AIM: To evaluate rural and racial/ethnic differences in Nulliparous, Term, Singleton, Vertex (NTSV) and primary cesarean delivery rates before and during the COVID-19 pandemic in South Carolina. METHODS: This retrospective cohort study used birth certificates linked to all-payer hospital discharge data for South Carolina childbirths from 2018 to 2021. Multilevel logistic regressions examined differences in cesarean outcomes by rural/urban hospital location and race/ethnicity of birthing people during pre-pandemic (January 2018-February 2020) and peri-pandemic periods (March 2020-December 2021), adjusting for maternal, infant, and hospital characteristics among two low-risk pregnancy cohorts: 1) Nulliparous, Term, Singleton, Vertex (NTSV, n = 65,974) and 2) those without prior cesarean (primary, n = 167,928). FINDINGS: Black vs. White disparities remained for NTSV cesarean in adjusted models (urban pre-pandemic aOR = 1.34, 95 %CI 1.23-1.46) but were not significantly different for primary cesarean, apart from rural settings peri-pandemic (aOR = 0.87, 95 %CI 0.79-0.96). Hispanic individuals had higher adjusted odds of NTSV cesarean only for rural settings pre-pandemic (aOR = 1.28, 95 %CI 1.05-1.56), but this disparity was not significant during the pandemic (aOR = 1.13, 95 %CI 0.93-1.37). DISCUSSION AND CONCLUSION: Observed rural and racial/ethnic disparities in cesarean delivery outcomes were present before and during the COVID-19 pandemic. Strategies effective in reducing racial disparities in primary cesarean may be useful in also reducing Black vs. White NTSV cesarean disparities.

Comparison of Laws that Impact Volunteer Response in Three Disaster-Prone Southeastern States.

OBJECTIVE: As natural disasters become more frequent and severe, the ability of impacted states to rapidly scale up their capacity to respond and facilitate recovery through volunteers is ever more crucial. However, the legal landscape that may facilitate or hamper augmentation through volunteers has yet to be fully explored. DESIGN: This study utilized policy surveillance methodology to code relevant laws identified in searches using the Emergency Law Inventory database and Westlaw. SETTING: We assessed laws in three natural disaster-prone states: North Carolina, South Carolina, and Georgia. MAIN OUTCOME MEASURES: We assessed the presence of liability protection, license reciprocity, and scope of practice laws for health care volunteers. RESULTS: Of the three assessed legal domains, liability protection for health care volunteers across all states contained the most robust language. Liability protections apply unless the health care volunteers act with reckless disregard, willful misconduct, or gross negligence. However, nuance exists based on which organizations (state vs charitable) volunteers are affiliated with to qualify for coverage. License reciprocity for out-of-state specific health care professions entering the impacted states was available across all three states. However, only Georgia enacted federal model legislation that provides additional flexibility regarding credentialing and liability protections. Lastly, very few laws addressed the scope of practice in impacted states. CONCLUSIONS: Comparisons of laws that impact the ability of health care volunteers to respond and recover from disasters are scarce. More research needs to be performed to better understand the laws that impact volunteers in emergencies, particularly as the public health system is overtasked when providing services to impacted communities.

Adherence, health care utilization, and costs between long-acting injectable and oral antipsychotic medications in South Carolina Medicaid beneficiaries with schizophrenia.

BACKGROUND: Schizophrenia and schizoaffective disorder require long-term antipsychotic treatment with antipsychotic medications, but poor medication adherence can lead to increased health care utilization and costs. Long-acting injectable antipsychotics (LAIs) offer potential therapeutic advantages in that they require less frequent dosing and improved medication adherence. South Carolina has the highest adoption of LAIs among US states, making it an ideal population for comparing the effectiveness of LAIs vs oral antipsychotics (OAPs) in treating schizophrenia or schizoaffective disorder. OBJECTIVE: To evaluate the effect of LAIs compared with OAPs on medication adherence, health care resource utilization, and costs among South Carolina Medicaid beneficiaries with schizophrenia or schizoaffective disorder. METHODS: South Carolina Medicaid beneficiaries with at least 1 claim for an LAI or OAP between January 1, 2015, and December 31, 2018, aged 18 to 65, with at least 2 claims with diagnoses of schizophrenia or schizoaffective disorder were included. Propensity scores (PSs) were calculated using logistic regression adjusting for confounders and predictors of the outcome. We estimated the "average treatment effect on the treated" by employing PS-weighted t-tests and chi-square tests. RESULTS: A total of 3,531 patients met the inclusion criteria, with 1,537 (44.5%) treated with LAIs and 1,994 (56.5%) treated with OAPs. In PS-weighted analyses, the LAI cohort had a greater proportion of days covered than the OAP cohort with a 365-day fixed denominator (69% vs 64%; P < 0.0001), higher medication possession ratio with a variable denominator while on therapy (85% vs 80%; P < 0.0001), and higher persistence (82% vs 64%; P < 0.0001). The average number of inpatient visits and emergency department visits did not significantly differ between cohorts (0.28 hospitalizations, P = 0.90; 3.68 vs 2.96 emergency department visits, P = 0.19). The number of outpatient visits, including visits for medication administration, were greater in the LAI cohort (23.1 [SD 24.2]) vs OAP (16.9 [SD 21.2]; P < 0.0001); however, including the costs for medication administration visits, outpatient costs (per member) were approximately $2,500 lower in the LAI cohort (P < 0.0001). The number of pharmacy visits was greater in the OAP cohort (LAI 21.0 [SD 17.0] vs OAP 23.0 [SD 15.0]; P = 0.006). All-cause total costs were greater in the LAI cohort ($26,025 [SD $29,909]) vs the OAP cohort ($17,291 [SD $25,261]; P < 0.0001) and were driven by the difference in pharmaceutical costs (LAI $15,273 [SD $16,183] vs OAP $4,696 [SD $10,371]; P < 0.0001). CONCLUSIONS: Among South Carolina Medicaid beneficiaries, treatment with LAIs for schizophrenia or schizoaffective disorder was associated with greater medication adherence rates. Patients using LAIs had higher drug costs and total costs, but lower outpatient and total nondrug costs compared with those using OAPs.

Virtual Expansion of the YMCA's Blood Pressure Self-Monitoring (BPSM) Program: Using Telehealth to Adapt an Evidence-Based Program to Reach Rural Communities in South Carolina.

CONTEXT: Disparities in cardiovascular disease prevalence and death exist among South Carolina's rural residents. Blood pressure self-monitoring (BPSM), where individuals measure their own blood pressure outside of the clinical environment, coupled with additional support, is an evidence-based, cost-effective strategy that is underutilized at large. PROGRAM: The YMCA's BPSM program is an evidence-based, 4-month program that includes 2 individualized office hours with a Healthy Heart Ambassador and 4 nutrition education sessions per month. Participants are provided with a blood pressure cuff and notebook to track their blood pressure at home in between sessions. IMPLEMENTATION: The SC Department of Health and Environmental Control partnered with the SC Alliance of YMCAs to expand the YMCA's BPSM program virtually. The traditional program was adapted to allow for virtual participant encounters. To target rural communities, partnerships were leveraged or established with rural health centers, federally qualified health centers, free medical clinics, and other state health department regions for participant referrals into the program. EVALUATION: A developmental evaluation design was utilized to monitor the virtual adaptation of the YMCA's BPSM program from April 2021 to May 2023. At the end of the project, 10 referral sources were identified to refer participants to the program. In total, 253 participants were referred to the program, 126 participants enrolled into the program, and 52 participants completed the program. Completers of the virtual program were successful in improving their blood pressure. DISCUSSION: Successes of the virtual program were not without challenges. Lessons learned from the virtual expansion of this program included ensuring participants' readiness to engage in a 4-month program, assessing participants' digital literacy, and considering broadband access in rural areas. Improvements in blood pressure and the program's reach demonstrate merit in continuing to scale the virtual adaptation of this program; however, contextual and structural factors should be considered.

Vaccination status and disease severity of COVID-19 in different phases of the pandemic.

This study aimed to explore the clinical profile and the impact of vaccination status on various health outcomes among COVID-19 patients diagnosed in different phases of the pandemic, during which several variants of concern (VOCs) circulated in South Carolina (SC). The current study included 861,526 adult COVID-19 patients diagnosed between January 2021 and April 2022. We extracted their information about demographic characteristics, vaccination, and clinical outcomes from a statewide electronic health record database. Multiple logistic regression models were used to compare clinical outcomes by vaccination status in different pandemic phases, accounting for key covariates (e.g. historical comorbidities). A reduction in mortality was observed among COVID-19 patients during the whole study period, although there were fluctuations during the Delta and Omicron dominant periods. Compared to non-vaccinated patients, full-vaccinated COVID-19 patients had lower mortality in all dominant variants, including Pre-alpha (adjusted odds ratio [aOR]: 0.33; 95%CI: 0.15-0.72), Alpha (aOR: 0.58; 95%CI: 0.42-0.82), Delta (aOR: 0.28; 95%CI: 0.25-0.31), and Omicron (aOR: 0.29; 95%CI: 0.26-0.33) phases. Regarding hospitalization, full-vaccinated parties showed lower risk of hospitalization than non-vaccinated patients in Delta (aOR: 0.44; 95%CI: 0.41-0.47) and Omicron (aOR: 0.53; 95%CI: 0.50-0.57) dominant periods. The findings demonstrated the protection effect of the COVID-19 vaccines against all VOCs, although some of the full-vaccinated population still have symptoms to varying degrees from COVID-19 disease at different phases of the pandemic.

STOCHASTICITY, SCALE, AND REFRACTION: DETERMINANTS OF POPULATION SYNCHRONY IN PARASITES OF CENTRARCHIDS IN J. STROM THURMOND LAKE, SOUTH CAROLINA.

Among-deme asynchrony has the potential to influence community richness and diversity by increasing the likelihood of regional persistence for a species. Parasites of Lepomis spp. collected from 4 localities at J. Strom Thurmond Lake, South Carolina over a 1-yr period were used to evaluate patterns of parasite population synchrony. Localities were separated by approximately 5 km to increase the likelihood that the parasites sampled represented different demes. Tylodelphys scheuringi and Crinicleidus longus, exhibited negative covariation between synchrony and among-locality distances. The degree of synchrony exhibited by Neoechinorhynchus cylindratis, Crepidostomum cornutum, and Clavunculus bifurcatus was associated with the degree of similarity in habitat structure between localities. Patterns of synchrony for Posthodiplostomum minimum and Spinitectus sp. were not associated with any of the habitat variables examined. The influence of habitat structure on parasite population synchrony, possibly through the refraction of large-scale environmental drivers, has the potential to produce asynchronous dynamics that are independent of the distance between demes, thereby promoting regional persistence by increasing the likelihood of rescue effects.

Implementation of an "opt-out" tobacco treatment program in six hospitals in South Carolina.

OBJECTIVE: Describe the screening, referral, and treatment delivery associated with an opt-out tobacco treatment program (TTP) implemented in six hospitals varying in size, rurality and patient populations. METHODS: Between March 6, 2021 and December 17, 2021, adult patients (≥ 18 years) admitted to six hospitals affiliated with the Medical University of South Carolina were screened for smoking status. The hospitals ranged in size from 82 to 715 beds. Those currently smoking were automatically referred to one of two tobacco treatment options: 1) Enhanced care (EC) where patients could receive a bedside consult by a trained tobacco treatment specialist plus an automated post-discharge follow-up call designed to connect those smoking to the South Carolina Quitline (SCQL); or 2) Basic care (BC) consisting of the post-discharge follow-up call only. An attempt was made to survey patients at 6-weeks after hospitalization to assess smoking status. RESULTS: Smoking prevalence ranged from 14 to 49% across the six hospitals; 6,000 patients were referred to the TTP.The delivery of the bedside consult varied across the hospitals with the lowest in the Charleston hospitals which had the highest caseload of referred patients per specialist. Among patients who received a consult visit during their hospitalization, 50% accepted the consult, 8% opted out, 3% claimed not to be current smokers, and 38% were unavailable at the time of the consult visit. Most of those enrolled in the TTP were long-term daily smokers.Forty-three percent of patients eligible for the automated post-discharge follow-up call answered the call, of those, 61% reported smoking in the past seven days, and of those, 34% accepted the referral to theSCQL. Among the 986 of patients surveyed at 6-weeks after hospitalization quit rates ranged from 20%-30% based on duration of reported cessation and were similar between hospitals and for patients assigned to EC versus BC intervention groups. CONCLUSION: Findings demonstrate the broad reach of an opt-out TTP. Elements of treatment delivery can be improved by addressing patient-to-staffing ratios, improving systems to prescribe stop smoking medications for patients at discharge and linking patients to stop smoking services after hospital discharge.

Agreement between audiometric hearing loss and self-reported hearing difficulty on the Revised Hearing Handicap Inventory differs by demographic factors.

BACKGROUND: New standardised measures of self-reported hearing difficulty can be validated against audiometric hearing loss. This study reports the influence of demographic factors (age, sex, race and socioeconomic position (SEP)) on the agreement between audiometric hearing loss and self-reported hearing difficulty. METHODS: Participants were 1558 adults (56.9% female; 20.0% racial minority; mean age 63.7 (SD 14.1) years) from the Medical University of South Carolina Longitudinal Cohort Study of Age-Related Hearing Loss (1988-current). Audiometric hearing loss was defined as the average of pure-tone thresholds at frequencies 0.5, 1.0, 2.0 and 4.0 kHz >25 dB HL in the worse ear. Self-reported hearing difficulty was defined as ≥6 points on the Revised Hearing Handicap Inventory (RHHI) or RHHI screening version (RHHI-S). We report agreement between audiometric hearing loss and the RHHI(-S), defined by sensitivity, specificity, accuracy, positive predictive value, negative predictive value and observed minus predicted prevalence. Estimates were stratified to age group, sex, race and SEP proxy. RESULTS: The prevalence of audiometric hearing loss and self-reported hearing difficulty were 49.0% and 48.8%, respectively. Accuracy was highest among participants aged <60 (77.6%) versus 60-70 (71.4%) and 70+ (71.9%) years, for white (74.6%) versus minority (68.0%) participants and was similar by sex and SEP proxy. Generally, agreement of audiometric hearing loss and RHHI(-S) self-reported hearing difficulty differed by age, sex and race. CONCLUSIONS: Relationships of audiometric hearing loss and self-reported hearing difficulty vary by demographic factors. These relationships were similar for the full (RHHI) and screening (RHHI-S) versions of this tool.

Examining the potential impacts of a coastal renourishment project on the presence and abundance of Escherichia coli.

Erosion poses a significant threat to oceanic beaches worldwide. To combat this threat, management agencies often utilize renourishment, which supplements eroded beaches with offsite sand. This process can alter the physical characteristics of the beach and can influence the presence and abundance of microbial communities. In this study, we examined how an oceanic beach renourishment project may have impacted the presence and abundance of Escherichia coli (E. coli), a common bacteria species, and sand grain size, a sediment characteristic that can influence bacterial persistence. Using an observational field approach, we quantified the presence and abundance of E. coli in sand (from sub-tidal, intertidal, and dune zones on the beach) and water samples at study sites in both renourished and non-renourished sections of Folly Beach, South Carolina, USA in 2014 and 2015. In addition, we also measured how renourishment may have impacted sand grain size by quantifying the relative frequency of grain sizes (from sub-tidal, intertidal, and dune zones on the beach) at both renourished and non-renourished sites. Using this approach, we found that E. coli was present in sand samples in all zones of the beach and at each of our study sites in both years of sampling but never in water samples. Additionally, we found that in comparison to non-renourished sections, renourished sites had significantly higher abundances of E. coli and coarser sand grains in the intertidal zone, which is where renourished sand is typically placed. However, these differences were only present in 2014 and were not detected when we resampled the study sites in 2015. Collectively, our findings show that E. coli can be commonly found in this sandy beach microbial community. In addition, our results suggest that renourishment has the potential to alter both the physical structure of the beach and the microbial community but that these impacts may be short-lived.