A Behavioral Economic Examination of Sexual Behaviors in the Era of Pre-exposure Prophylaxis via Explanatory Sequential Mixed Methods.

Pre-exposure prophylaxis (PrEP) use may be associated with condom use decisions. The current investigation examined sexual decision-making in the context of PrEP among young adult men who have sex with men (MSM) between 18 and 30 years old, using an explanatory sequential mixed methods design. For the quantitative aim, 99 MSM currently taking PrEP (i.e., PrEP-experienced) and 140 MSM not currently taking PrEP (i.e., PrEP-naive) completed an online survey, including the Sexual Delay Discounting Task (SDDT), which captures likelihood of condom use. For the qualitative aim, 15 people from each group were interviewed about their (1) conceptualizations of risky sex and (2) ways they manage their sexual risk. Participants were, on average, 25.69 years old (SD = 3.07) and 64% White. Results from the quantitative aim revealed, controlling for covariates, PrEP-experienced participants exhibited significantly lower likelihood of (1) using an immediately available condom and (2) waiting for a delayed condom (i.e., sexual delay discounting) compared to PrEP-naive participants. Qualitative themes explaining what young adult MSM consider to be risky sex included: (1) any sex as risky sex, (2) risky sex as "sex without a conversation," and (3) risky sex as sex with risk for physical harm. Themes on ways young adult MSM manage sexual risk were classified as proactive, reactive, and passive. Results suggest that PrEP use is related to condom use decisions. Taken together, quantitative differences in sexual delay discounting, but qualitatively similar conceptualizations and management of risky sex, suggest that the SDDT may be a useful tool in sex research to capture processes (i.e., delay discounting) underlying sexual decision-making that may be missed by traditional self-reports. Implications of results, including potentially providing (good quality) condoms with every PrEP prescription, and future research topics are discussed.

Single-photon absorption and emission from a natural photosynthetic complex.

Photosynthesis is generally assumed to be initiated by a single photon1-3 from the Sun, which, as a weak light source, delivers at most a few tens of photons per nanometre squared per second within a chlorophyll absorption band1. Yet much experimental and theoretical work over the past 40 years has explored the events during photosynthesis subsequent to absorption of light from intense, ultrashort laser pulses2-15. Here, we use single photons to excite under ambient conditions the light-harvesting 2 (LH2) complex of the purple bacterium Rhodobacter sphaeroides, comprising B800 and B850 rings that contain 9 and 18 bacteriochlorophyll molecules, respectively. Excitation of the B800 ring leads to electronic energy transfer to the B850 ring in approximately 0.7 ps, followed by rapid B850-to-B850 energy transfer on an approximately 100-fs timescale and light emission at 850-875 nm (refs. 16-19). Using a heralded single-photon source20,21 along with coincidence counting, we establish time correlation functions for B800 excitation and B850 fluorescence emission and demonstrate that both events involve single photons. We also find that the probability distribution of the number of heralds per detected fluorescence photon supports the view that a single photon can upon absorption drive the subsequent energy transfer and fluorescence emission and hence, by extension, the primary charge separation of photosynthesis. An analytical stochastic model and a Monte Carlo numerical model capture the data, further confirming that absorption of single photons is correlated with emission of single photons in a natural light-harvesting complex.

Developing and validating a natural language processing algorithm to extract preoperative cannabis use status documentation from unstructured narrative clinical notes.

OBJECTIVE: This study aimed to develop a natural language processing algorithm (NLP) using machine learning (ML) techniques to identify and classify documentation of preoperative cannabis use status. MATERIALS AND METHODS: We developed and applied a keyword search strategy to identify documentation of preoperative cannabis use status in clinical documentation within 60 days of surgery. We manually reviewed matching notes to classify each documentation into 8 different categories based on context, time, and certainty of cannabis use documentation. We applied 2 conventional ML and 3 deep learning models against manual annotation. We externally validated our model using the MIMIC-III dataset. RESULTS: The tested classifiers achieved classification results close to human performance with up to 93% and 94% precision and 95% recall of preoperative cannabis use status documentation. External validation showed consistent results with up to 94% precision and recall. DISCUSSION: Our NLP model successfully replicated human annotation of preoperative cannabis use documentation, providing a baseline framework for identifying and classifying documentation of cannabis use. We add to NLP methods applied in healthcare for clinical concept extraction and classification, mainly concerning social determinants of health and substance use. Our systematically developed lexicon provides a comprehensive knowledge-based resource covering a wide range of cannabis-related concepts for future NLP applications. CONCLUSION: We demonstrated that documentation of preoperative cannabis use status could be accurately identified using an NLP algorithm. This approach can be employed to identify comparison groups based on cannabis exposure for growing research efforts aiming to guide cannabis-related clinical practices and policies.

Correspondence between alcohol use measured by a wrist-worn alcohol biosensor and self-report via ecological momentary assessment over a 2-week period.

BACKGROUND: Transdermal alcohol biosensors measure alcohol use continuously, passively, and non-invasively. There is little field research on the Skyn biosensor, a new-generation, wrist-worn transdermal alcohol biosensor, and little evaluation of its sensitivity and specificity and the day-level correspondence between transdermal alcohol concentration (TAC) and number of self-reported drinks. METHODS: Participants (N = 36; 61% male, M age  = 34.3) wore the Skyn biosensor and completed ecological momentary assessment (EMA) surveys about their alcohol use over 2 weeks. A total of 497 days of biosensor and EMA data were collected. Skyn-measured drinking episodes were defined by TAC > 5 µg/L. Skyn data were compared to self-reported drinking to calculate sensitivity and specificity (for drinking day vs. nondrinking day). Generalized estimating equations models were used to evaluate the correspondence between TAC features (peak TAC and TAC-area under the curve (AUC)) and number of drinks. Individual-level factors (sex, age, race/ethnicity, body mass index, human immunodeficiency virus status, and hazardous drinking) were examined to explore associations with TAC controlling for number of drinks. RESULTS: Using a minimum TAC threshold of 5 µg/L plus coder review, the biosensor had sensitivity of 54.7% and specificity of 94.6% for distinguishing drinking from nondrinking days. Without coder review, the sensitivity was 78.1% and the specificity was 55.2%. Peak TAC (ß = 0.92, p < 0.0001) and TAC-AUC (ß = 1.60, p < 0.0001) were significantly associated with number of drinks. Females had significantly higher TAC levels than males for the same number of drinks. CONCLUSIONS: Skyn-derived TAC can be used to measure alcohol use under naturalistic drinking conditions, additional research is needed to accurately identify drinking episodes based on Skyn TAC readings.

Clinical Decision Making by Medical Marijuana Physicians in Florida: A Qualitative Assessment.

Medical marijuana (MMJ) was legalized in November 2016 with the passing of Amendment 2 in the state of Florida. Since the legalization, many studies have been conducted to understand the direct effect medical marijuana has on specific medical conditions. Unlike most allopathic drugs, medical marijuana does not target single ailments or specific conditions and does not follow precise recommending guidelines. There is scarce knowledge on how patient characteristics, including medical conditions, affect a physician's direct recommendations and registry limits. To obtain insight on the effect patient characteristics have on the clinical decision-making process, we conducted ten qualitative interviews of medical marijuana physicians who are certified to order medical marijuana for patients in Florida. Interview topics ranged from typical daily practice to specific recommendations for patient histories. Each interview was transcribed and thematically analyzed. Five major patient characteristics that influence a physician's recommendation emerged from the interviews: patient medical history, co-medications, lifestyle, marijuana experience level and counter-indications. Each category was analyzed further to understand how the characteristics influenced the practice of recommending and ordering product. Physicians emphasized the equivalent importance of reviewing a patient's medical history, lifestyle, and past marijuana experiences while also expressing the need to look holistically at the individual patient. Instead of the characteristics determining what the physician recommends for the patient and orders through the registry, the characteristics dictate the education given to the patient so that the patient may lead and determine their own individual care.

Biological assessment of western USA sandy bottom rivers based on modeling historical and current fish and macroinvertebrate data.

Biological monitoring is important for assessing the ecological condition of surface waters. However, there are challenges in determining what constitutes reference conditions, what assemblages should be used as indicators, and how assemblage data should be converted into quantitative indicator scores. In this study, we developed and applied biological condition gradient (BCG) modeling to fish and macroinvertebrate data previously collected from large, sandy bottom southwestern USA rivers. Such rivers are particularly vulnerable to altered flow regimes resulting from dams, water withdrawals and climate change. We found that sensitive ubiquitous taxa for both fish and macroinvertebrates had been replaced by more tolerant taxa, but that the condition assessment ratings based on fish and macroinvertebrate assemblages differed. We conclude that the BCG models based on both macroinvertebrate and fish assemblage condition were useful for classifying the condition of southwestern USA sandy bottom rivers. However, our fish BCG model was slightly more sensitive than the macroinvertebrate model to anthropogenic disturbance, presumably because we had historical fish data, and because fish may be more sensitive to dams and altered flow regimes than are macroinvertebrates.

Costs and impact on HIV transmission of a switch from a criminalisation to a public health approach to injecting drug use in eastern Europe and central Asia: a modelling analysis.

BACKGROUND: HIV incidence is increasing in eastern Europe and central Asia, primarily driven by injecting drug use. Coverage of antiretroviral therapy (ART) and opioid agonist therapy are suboptimal, with many people who inject drugs (PWID) being incarcerated. We aimed to assess whether use of monies saved as a result of decriminalisation of drug use or possession to scale up ART and opioid agonist therapy could control HIV transmission among PWID in eastern Europe and central Asia. METHODS: A dynamic HIV transmission model among PWID incorporating incarceration, ART, and opioid agonist therapy was calibrated to Belarus, Kazakhstan, Kyrgyzstan, and St Petersburg (Russia). Country-specific costs for opioid agonist therapy, ART, and incarceration were collated or estimated. Compared with baseline, the model prospectively projected the life-years gained, incremental costs (2018 euros), and infections prevented over 2020-40 for three scenarios. The decriminalisation scenario removed incarceration resulting from drug use or possession for personal use, reducing incarceration among PWID by 24·8% in Belarus, Kazakhstan, and Kyrgyzstan and 46·4% in St Petersburg; the public health approach scenario used savings from decriminalisation to scale up ART and opioid agonist therapy; and the full scale-up scenario included the decriminalisation scenario plus investment of additional resources to scale up ART to the UNAIDS 90-90-90 target of 81% coverage and opioid agonist therapy to the WHO target of 40% coverage. The incremental cost-effectiveness ratios per life-year gained for each scenario were calculated and compared with country-specific gross domestic product per-capita willingness-to-pay thresholds. Costs and life-years gained were discounted 3% annually. FINDINGS: Current levels of incarceration, opioid agonist therapy, and ART were estimated to cost from €198 million (95% credibility interval 173-224) in Kyrgyzstan to €4129 million (3897-4358) in Kazakhstan over 2020-40; 74·8-95·8% of these total costs were incarceration costs. Decriminalisation resulted in cost savings (€38-773 million due to reduced prison costs; 16·9-26·1% reduction in overall costs) but modest life-years gained (745-1694). The public health approach was cost saving, allowing each setting to reach 81% ART coverage and 29·7-41·8% coverage of opioid agonist therapy, resulting in 17 768-148 464 life-years gained and 58·9-83·7% of infections prevented. Results were similar for the full scale-up scenario. INTERPRETATION: Cost savings from decriminalisation of drug use could greatly reduce HIV transmission through increased coverage of opioid agonist therapy and ART among PWID in eastern Europe and central Asia. FUNDING: Alliance for Public Health, US National Institute of Allergy and Infectious Diseases and National Institute for Drug Abuse, and Economist Intelligence Unit.

Health Outcomes among Adults Initiating Medical Cannabis for Chronic Pain: A 3-month Prospective Study Incorporating Ecological Momentary Assessment (EMA).

In response to the need of more rigorous data on medical cannabis and chronic pain, we conducted a 3-month prospective study incorporating ecological momentary assessment (EMA) to examine the effects of medical cannabis on pain, anxiety/depression, sleep, and quality of life. Data were collected from 46 adults (Mean age=55.7±11.9, 52.2% male) newly initiating medical cannabis treatment for chronic pain. Participants completed a baseline survey, EMA for approximately 1 week pre- and up to 3 weeks post- medical cannabis treatment, and a 3-month follow-up survey. The self-reported EMA data (2535 random and 705 daily assessments) indicated significant reductions in momentary pain intensity (b = -16.5, p < .001, 16.5 points reduction on 0-100 visual analog) and anxiety (b = -0.89, p < .05), and significant increase in daily sleep duration (b = 0.34, p < .01) and sleep quality (b = 0.32, p <.001) after participants initiated medical cannabis for a few weeks. At 3 months, self-reported survey data showed significantly lower levels of worst pain (t = -2.38, p < .05), pain interference (t = -3.82, p < .05), and depression (t = -3.43, p < .01), as well as increased sleep duration (t = 3.95, p < .001), sleep quality (t = -3.04, p < .01), and quality of life (t = 4.48, p < .001) compared to baseline. In our sample of primarily middle-aged and older adults with chronic pain, medical cannabis was associated with reduced pain intensity/inference, lower anxiety/depression, and improved sleep and quality of life.

Direct-Acting Antiviral Treatment Use Remains Low Among Florida Medicaid Beneficiaries With Chronic Hepatitis C.

Medicaid prior authorization (PA) policies for treatment of hepatitis C virus (HCV) with direct-acting antiviral (DAA) therapy are changing. We aimed to evaluate effects of changes in PA requirements on treatment uptake and to determine the factors associated with DAA treatment among Florida Medicaid beneficiaries with HCV. This is a retrospective cohort analysis of Florida's Medicaid administrative claims and electronic medical records (2013-2018). A total of 14,063 newly diagnosed patients with HCV were grouped based on human immunodeficiency virus (HIV) co-infection and/or a substance use disorder (SUD) (7,735 HCV mono-infected with a SUD, 5,180 HCV mono-infected without a SUD, 564 HCV/HIV co-infected with a SUD, and 584 HCV/HIV co-infected without a SUD). Although the treatment rate increased three-fold after June 1, 2016, when a fibrosis-stage restriction was eliminated, only 8% received DAAs. Compared to HCV mono-infected without a SUD, HCV mono-infected with a SUD and HCV/HIV co-infected with a SUD were 47% (adjusted hazard ratio, 0.53; 95% confidence interval, 0.47-0.60) and 59% (adjusted hazard ratio, 0.41; 95% confidence interval, 0.28-0.61) less likely to initiate DAAs. Those with HCV/HIV/SUD did not experience a DAA initiation increase after a fibrosis-stage restriction was eliminated. Compared with Whites, Blacks were less likely to receive DAAs but were more likely to complete treatment. Use of medication-assisted therapy was low, despite those on medication-assisted therapy being 60% more likely to initiate DAA therapy and no more likely to discontinue therapy. Conclusion: Despite changes in Florida's Medicaid PA requirements for DAA treatment, only 8% received treatment. Disparities in treatment access were found among patients with HIV and a SUD, and who were Black.

Using knowledge discovery through data mining to gain intelligence from routinely collected incident reporting in an acute English hospital.

PURPOSE: Incident reporting systems are commonly deployed in healthcare but resulting datasets are largely warehoused. This study explores if intelligence from such datasets could be used to improve quality, efficiency, and safety. DESIGN/METHODOLOGY/APPROACH: Incident reporting data recorded in one NHS acute Trust was mined for insight (n = 133,893 April 2005-July 2016 across 201 fields, 26,912,493 items). An a priori dataset was overlaid consisting of staffing, vital signs, and national safety indicators such as falls. Analysis was primarily nonlinear statistical approaches using Mathematica V11. FINDINGS: The organization developed a deeper understanding of the use of incident reporting systems both in terms of usability and possible reflection of culture. Signals emerged which focused areas of improvement or risk. An example of this is a deeper understanding of the timing and staffing levels associated with falls. Insight into the nature and grading of reporting was also gained. PRACTICAL IMPLICATIONS: Healthcare incident reporting data is underused and with a small amount of analysis can provide real insight and application to patient safety. ORIGINALITY/VALUE: This study shows that insight can be gained by mining incident reporting datasets, particularly when integrated with other routinely collected data.

The Florida Mobile Health Adherence Project for People Living With HIV (FL-mAPP): Longitudinal Assessment of Feasibility, Acceptability, and Clinical Outcomes.

BACKGROUND: For people living with HIV (PLWH), antiretroviral therapy (ART) adherence is crucial to attain better health outcomes. Although research has leveraged consumer health information technologies to enhance ART adherence, no study has evaluated feasibility and clinical outcomes associated with the usage of a commercially available, regularly updated mobile health (mHealth) app for improving ART adherence among PLWH. OBJECTIVE: This study aimed to assess the feasibility, acceptability, and clinical outcomes of Care4Today, an existing, free, biprogrammatic mHealth app for improving ART adherence among PLWH. METHODS: The Florida mHealth Application Adherence Project (FL-mAPP) was a 90-day longitudinal pilot study conducted in 3 public HIV clinics in Florida, United States. After obtaining informed consent, 132 participants completed a survey and then were given the option to try an existing mHealth app to help with ART adherence. Of these, 33.3% (44/132) declined, 31.1% (41/132) agreed but never used the app, and 35.6% (47/132) used the app. All were asked to complete follow-up surveys at 30 days and 90 days after enrollment. Usage data were used to assess feasibility. Clinical outcomes of self-reported ART adherence and chart-obtained HIV viral load and CD4+ T-cell counts were compared among those who used the platform (users) versus those who did not (nonusers). Participants and HIV care providers also provided responses to open-ended questions about what they liked and did not like about the app; comments were analyzed using thematic analysis. RESULTS: Of 132 participants, 47 (35.6%) and 85 (64.4%) were categorized as users and nonusers, respectively. Among users, a Kaplan-Meier plot showed that 25 persons (53%) continued using the app after the 90-day follow-up. At 30-day follow-up, 13 (81.3%) of those who used the mHealth app reported ≥95% ART adherence, compared with 17 (58.6%) nonusers (P=.12). Overall, 39 (82%) users liked or somewhat liked using the platform. Participants' favorite features were medication reminders, ability to create custom reminders, and adherence reports. CONCLUSIONS: This longitudinal study found that a commercially available medication adherence mHealth app was a feasible and acceptable intervention to improve ART adherence among PLWH and engaged in clinical care across 3 public HIV clinics in the state of Florida. Overall, participants liked the Care4Today app and thought the medication reminders were their favorite feature. Generally, self-reports of ART adherence were better among users than nonusers, both at 30- and 90-day follow-ups. Further clinical research needs to address user fatigue for improving app usage.

Clinical Process Modeling: An Approach for Enhancing the Assessment of Physicians' Clinical Reasoning.

To ensure the validity of test interpretation and use, educators must be able to connect the dots between the tasks examinees perform on a test and the decisions educators make based on the results of that test. Toward that end, in this article, the authors introduce an approach called clinical process modeling, which combines clinical reasoning and principled assessment design. The goal of this approach is to better align test item development with the assessment of physicians' application of knowledge. Clinical process modeling involves creating complex decision trees that can mirror clinical reasoning illness scripts and include the steps and pathways a physician could take to address a specific patient presentation from initial presentation to correct diagnosis and therapy. Once created, these decision trees can be used to inform the assessment development process.To illustrate this approach, the authors describe how they developed one such clinical process model for a common presentation of low back pain from the field of internal medicine. They explain the steps they took to develop their model and the corresponding test item. They conclude by discussing potential future directions and additional implications for this work, emphasizing how clinical process models can be used to inform other educational processes and clinical practice.

Enhancing Reporting of After Action Reviews of Public Health Emergencies to Strengthen Preparedness: A Literature Review and Methodology Appraisal.

OBJECTIVE: This literature review aimed to identify the range of methods used in after action reviews (AARs) of public health emergencies and to develop appraisal tools to compare methodological reporting and validity standards. METHODS: A review of biomedical and gray literature identified key approaches from AAR methodological research, real-world AARs, and AAR reporting templates. We developed a 50-item tool to systematically document AAR methodological reporting and a linked 11-item summary tool to document validity. Both tools were used sequentially to appraise the literature included in this study. RESULTS: This review included 24 highly diverse papers, reflecting the lack of a standardized approach. We observed significant divergence between the standards described in AAR and qualitative research literature, and real-world AAR practice. The lack of reporting of basic methods to ensure validity increases doubt about the methodological basis of an individual AAR and the validity of its conclusions. CONCLUSIONS: The main limitations in current AAR methodology and reporting standards may be addressed through our 11 validity-enhancing recommendations. A minimum reporting standard for AARs could help ensure that findings are valid and clear for others to learn from. A registry of AARs, based on a common reporting structure, may further facilitate shared learning. (Disaster Med Public Health Preparedness. 2019;13:618-625).

Cumulative Burden of Depression and All-Cause Mortality in Women Living With Human Immunodeficiency Virus.

Background: Research linking depression to mortality among people living with human immunodeficiency virus (PLWH) has largely focused on binary "always vs never" characterizations of depression. However, depression is chronic and is likely to have cumulative effects on mortality over time. Quantifying depression as a cumulative exposure may provide a better indication of the clinical benefit of enhanced depression treatment protocols delivered in HIV care settings. Methods: Women living with HIV (WLWH), naive to antiretroviral therapy, from the Women's Interagency HIV Study were followed from their first visit in or after 1998 for up to 10 semiannual visits (5 years). Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression (CES-D) scale. An area-under-the-curve approach was used to translate CES-D scores into a time-updated measure of cumulative days with depression (CDWD). We estimated the effect of CDWD on all-cause mortality using marginal structural Cox proportional hazards models. Results: Overall, 818 women contributed 3292 woman-years over a median of 4.8 years of follow-up, during which the median (interquartile range) CDWD was 366 (97-853). Ninety-four women died during follow-up (2.9 deaths/100 woman-years). A dose-response relationship was observed between CDWD and mortality. Each additional 365 days spent with depression increased mortality risk by 72% (hazard ratio, 1.72; 95% confidence interval, 1.34-2.20). Conclusions: In this sample of WLWH, increased CDWD elevated mortality rates in a dose-response fashion. More frequent monitoring and enhanced depression treatment protocols designed to reduce CDWD may interrupt the accumulation of mortality risk among WLWH.

Perspective: Improving Nutritional Guidelines for Sustainable Health Policies: Current Status and Perspectives.

A large body of evidence supports the notion that incorrect or insufficient nutrition contributes to disease development. A pivotal goal is thus to understand what exactly is appropriate and what is inappropriate in food ingestion and the consequent nutritional status and health. The effective application of these concepts requires the translation of scientific information into practical approaches that have a tangible and measurable impact at both individual and population levels. The agenda for the future is expected to support available methodology in nutrition research to personalize guideline recommendations, properly grading the quality of the available evidence, promoting adherence to the well-established evidence hierarchy in nutrition, and enhancing strategies for appropriate vetting and transparent reporting that will solidify the recommendations for health promotion. The final goal is to build a constructive coalition among scientists, policy makers, and communication professionals for sustainable health and nutritional policies. Currently, a strong rationale and available data support a personalized dietary approach according to personal variables, including sex and age, circulating metabolic biomarkers, food quality and intake frequency, lifestyle variables such as physical activity, and environmental variables including one's microbiome profile. There is a strong and urgent need to develop a successful commitment among all the stakeholders to define novel and sustainable approaches toward the management of the health value of nutrition at individual and population levels. Moving forward requires adherence to well-established principles of evidence evaluation as well as identification of effective tools to obtain better quality evidence. Much remains to be done in the near future.

Assessing the clinical and cost impact of on-demand immunoassay testing for the diagnosis of heparin induced thrombocytopenia.

BACKGROUND: The diagnostic work-up for heparin induced thrombocytopenia (HIT) can take several days. Consequently patients may be speculatively switched onto replacement anticoagulant therapy before a diagnosis is confirmed. On-demand immunoassay diagnostic testing enables timely treatment decisions, based on test results. OBJECTIVE: To estimate the clinical and cost impact of the use of on-demand versus batched diagnostic tests for HIT. METHODS: Literature was reviewed to identify test performance, clinical and cost data. Semi-structured interviews (n=4) and a survey (n=90) provided insights into current practice and challenges. Flow diagram models were developed to estimate the potential impact of on-demand testing. RESULTS: Modelling estimated more HIT-related outcomes for patients maintained on heparin whilst awaiting test results and patients switched onto replacement anticoagulant therapy awaiting test results, compared with on-demand testing and treatment based on the results. The budget impact model estimated that on-demand testing reduced replacement anticoagulant therapy costs from $39,616 to $12,799 per patient. There are limitations to the data available to inform modelling and the estimates should be treated with caution. CONCLUSIONS: Using on-demand testing may drive positive effects on clinical and cost outcomes.

Racial/Ethnic Disparities in HPV Vaccine Uptake Among a Sample of College Women.

OBJECTIVE: The aim of this study is to determine the association between racial/ethnic status and uptake and completion of the HPV vaccine series in college women. METHODS: Participants were recruited from a large university in North Central Florida. Young women between 18 and 26 years of age who were currently enrolled in a college course comprised the study sample. Participants completed an anonymous online survey that assessed sociodemographic characteristics, sexual behaviors, gynecological healthcare utilization, and perception of risk to HPV-associated diseases. Multivariable analysis was conducted to determine the relationship between racial/ethnic status and HPV vaccination status. RESULTS: Of the 835 with complete data (51.0 % white, 16.5 % black, 13.8 % Hispanic, 8.3 % Asian, and 9.9 % other), 53 % had initiated (receipt of at least one dose) the three-dose HPV vaccine series. Of those who initiated, 70 % indicated that they had completed all three doses. In adjusted analysis, blacks were significantly less likely to report initiation [adjusted prevalence ratio (aPR) = 0.78; 95 % confidence interval (CI), 0.63, 0.97] and completion (aPR = 0.64; 95 % CI: 0.48, 0.84) of the three dose HPV vaccine as compared to whites. Although completion rates were lower in all other racial/ethnic groups as compared to whites, these rates did not reach statistical significance. CONCLUSIONS: These findings are consistent with research from other types of settings and demonstrate lower initiation and completion rates of HPV vaccine among black women attending college as compared to their white counterparts. Additional research is needed to understand why black college women have low initiation and completion rates.

Opioid prescribing by physicians with and without electronic health records.

BACKGROUND: Physicians in the U.S. are adopting electronic health records (EHRs) at an unprecedented rate. However, little is known about how EHR use relates to physicians' care decisions. Using nationally representative data, we estimated how using practice-based EHRs relates to opioid prescribing in primary care. METHODS: This study analyzed 33,090 visits to primary care physicians (PCPs) in the 2007-2010 National Ambulatory Medical Care Survey. We used logistic regression to compare opioid prescribing by PCPs with and without EHRs. RESULTS: Thirteen percent of all visits and 33 % of visits for chronic noncancer pain resulted in an opioid prescription. Compared to visits without EHRs, visits to physicians with EHRs had 1.38 times the odds of an opioid prescription (95 % CI, 1.22-1.56). Among visits for chronic noncancer pain, physicians with EHRs had significantly higher odds of an opioid prescription (adj. OR = 1.39; 95 % CI, 1.03-1.88). Chronic pain visits involving electronic clinical notes were also more likely to result in an opioid prescription compared to chronic pain visits without (adj. OR = 1.51; 95 % CI, 1.10-2.05). Chronic pain visits involving electronic test ordering were also more likely to result in an opioid prescription compared to chronic pain visits without (adj. OR = 1.31; 95 % CI, 1.01-1.71). CONCLUSIONS: We found higher levels of opioid prescribing among physicians with EHRs compared to those without. These results highlight the need to better understand how using EHR systems may influence physician prescribing behavior so that EHRs can be designed to reliably guide physicians toward high quality care.

Maternal morbidities and postpartum depression: an analysis using the 2007 and 2008 Pregnancy Risk Assessment Monitoring System.

PURPOSE: Postpartum depression (PPD) is common and associated with significant health outcomes and other consequences. Identifying persons at risk may improve screening and detection of PPD. This exploratory study sought to identify the morbidities that associate with 1) PPD symptoms and 2) PPD diagnosis. METHODS: Data from the 2007 and 2008 Pregnancy Risk Assessment Monitoring System were analyzed from 23 states and 1 city (n = 61,733 pregnancies); 13 antenatal morbidities were included. To determine whether antenatal morbidity predictors of PPD would differ based on PPD symptoms versus a diagnosis, each of the 13 antenatal morbidities were examined in separate logistic regression models with each PPD outcome. For each objective, two samples were examined: 1) Women from all states and 2) women from Alaska and Maine, the two states that included both PPD symptoms and PPD diagnosis measures in their questionnaires. Control variables included demographic and sociodemographic variables, pregnancy variables, antenatal and postpartum health behaviors, and birth outcomes. MAIN FINDINGS: Having vaginal bleeding (odds ratio [OR], 1.42; OR, 1.76), kidney/bladder infection (OR, 1.59; OR, 1.63), nausea (OR, 1.50; OR, 1.80), preterm labor (OR, 1.54; OR, 1.51), or being on bed rest (OR, 1.34; OR, 1.56) associated with both PPD symptoms and PPD diagnosis, respectively. Being in a car accident associated with PPD symptoms only (OR, 1.65), whereas having hypertension (OR, 1.94) or a blood transfusion (OR, 2.98) was associated with PPD diagnosis only. Among women from Alaska or Maine, having preterm labor (OR, 2.54, 2.11) or nausea (OR, 2.15, 1.60) was associated with both PPD symptoms and PPD diagnosis, respectively. Having vaginal bleeding (OR, 1.65), kidney/bladder infection (OR, 1.74), a blood transfusion (OR, 3.30), or being on bed rest (OR, 1.87) was associated with PPD symptoms only, whereas having diabetes before pregnancy (OR, 5.65) was associated with PPD diagnosis only. CONCLUSIONS: The findings of this exploratory study revealed differences in the antenatal morbidities that were associated with PPD symptoms versus diagnosis in both samples, and can assist prenatal care providers in prioritizing and screening for these morbidities that are associated with PPD during pregnancy. Additional research is warranted to confirm the results of this study in other samples and populations. Developing strategies to 1) improve general awareness of PPD and the appropriate antenatal morbidity risk factors to focus on in clinical settings, and 2) increase screening for the antenatal morbidities determined to be predictors of PPD in this study are warranted in preventing PPD.

Assessment of environmentally persistent free radicals in soils and sediments from three Superfund sites.

We previously reported the presence of environmentally persistent free radicals (EPFRs) in pentachlorophenol (PCP) contaminated soils at a closed wood treatment facility site in Georgia. The reported EPFRs were pentachlorophenoxyl radicals formed on soils under ambient conditions via electron transfer from PCP to electron acceptors in the soil. In this study, we present results for soil and sediment samples from additional Superfund sites in Montana and Washington. Paramagnetic centers associated with different chemical environments were characterized by distinct g-factors and line widths (ΔHp-p). EPFR concentrations in contaminated samples were ~30×, ~12×, and ~2× higher than background samples at the Georgia, Montana, and Washington sites, respectively. EPR signals in the Montana contaminated soils were very similar to those previously observed for pentachlorophenol contaminated soils at the Georgia site, i.e., g = 2.00300 and ΔHp-p = 6.0 G, whereas signals in the Washington sediment samples were similar to those previously observed for other PAH contaminated soils, i.e., g = 2.00270 and ΔHp-p = 9.0 G. Total carbon content measurements exhibited direct correlation with EPFR concentration. The presence of radicals in sites contaminated a decade to a century ago suggests continuous formation of EPFRs from molecular contaminants in the soil and sediment.