Alcohol consumption and its correlation with medical conditions: a UK Biobank study.

Background: Alcohol consumption has been associated with the occurrence of many health conditions. We analyzed UK Biobank data to explore associations of various conditions to type and amount of alcohol consumed. UK Biobank is a large biomedical database providing information from UK participants, including lifestyle questionnaires and diagnosis data. Methods: Using UK Biobank, we examined the relationship between weekly alcohol consumption, alcohol type and the incidence of eight select conditions. We calculated counts of individuals consuming each type diagnosed with these conditions. To assess the effect of alcohol consumption on each condition's prevalence, we used log-logistic regression models to generate dose-response models for each alcohol type. Results: The alcohol consumed included: red wine (228,439 participants), white wine (188811), beer (182648), spirits (129418), and fortified wine (34598). We observed increased condition prevalence with increasing amounts of alcohol. This was especially seen for chronic obstructive lung disease, cirrhosis of liver, hypertension, gastritis, and type 2 diabetes. Beer consumers showed higher prevalence for most conditions while fortified wine had the largest increases in incidence rates. Only white wine showed decreased incidence for acute myocardial infarction. In general, the prevalence of many conditions was higher among alcohol consumers, particularly for hypertension, 33.8%, compared to 28.6% for non-drinkers. Conclusion: Although many conditions were already prevalent among non-drinkers, participants consuming increasing amounts of alcohol had increased incidence rates for many of the studied conditions. This was especially true for consumers of beer and fortified wine, but also true to a lesser extent for consumers of spirits, red and white wine.

PubMed4Hh: A Point-of-Care Mobile App for Evidence-Based Clinical Decision Support for Nurse Residents in Maryland.

Evidence-based clinical decision-making is considered a core competency for professional nurses. However, barriers such as lack of time in clinical practice; information overload; restricted access to resources; lack of evidence appraisal skills, awareness, and knowledge; and unreliable resources prevent them from adopting evidence-based practice. This study examined the usefulness of the PubMed4Hh (PubMed for Handhelds) mobile application for clinical decision-making at the point of care among Maryland newly licensed RNs. Using iOS and Android smartphones, 178 newly licensed RNs participated in a 6-month trial from November 2019 to April 2020. Nurses manually entered free-text queries or used voice inputs on the "Patient, Intervention, Comparison, Outcome" or "askMEDLINE" search engines. The results retrieved were presented as journal article abstracts or short summaries called "the bottom line," designed for quick reading at the point of care. Both Patient, Intervention, Comparison, Outcome and askMEDLINE were rated highly for their usefulness, and participants said they would continue using PubMed4Hh and recommend it to others. Newly licensed RNs had a significantly higher perception of the usefulness of PubMed4Hh when the results of "the bottom line" or abstracts confirmed, led, or modified their nursing skills, knowledge, or the patient's care plan.

A risk identification model for detection of patients at risk of antidepressant discontinuation.

Purpose: Between 30 and 68% of patients prematurely discontinue their antidepressant treatment, posing significant risks to patient safety and healthcare outcomes. Online healthcare forums have the potential to offer a rich and unique source of data, revealing dimensions of antidepressant discontinuation that may not be captured by conventional data sources. Methods: We analyzed 891 patient narratives from the online healthcare forum, "askapatient.com," utilizing content analysis to create PsyRisk-a corpus highlighting the risk factors associated with antidepressant discontinuation. Leveraging PsyRisk, alongside PsyTAR [a publicly available corpus of adverse drug reactions (ADRs) related to antidepressants], we developed a machine learning-driven algorithm for proactive identification of patients at risk of abrupt antidepressant discontinuation. Results: From the analyzed 891 patients, 232 reported antidepressant discontinuation. Among these patients, 92% experienced ADRs, and 72% found these reactions distressful, negatively affecting their daily activities. Approximately 26% of patients perceived the antidepressants as ineffective. Most reported ADRs were physiological (61%, 411/673), followed by cognitive (30%, 197/673), and psychological (28%, 188/673) ADRs. In our study, we employed a nested cross-validation strategy with an outer 5-fold cross-validation for model selection, and an inner 5-fold cross-validation for hyperparameter tuning. The performance of our risk identification algorithm, as assessed through this robust validation technique, yielded an AUC-ROC of 90.77 and an F1-score of 83.33. The most significant contributors to abrupt discontinuation were high perceived distress from ADRs and perceived ineffectiveness of the antidepressants. Conclusion: The risk factors identified and the risk identification algorithm developed in this study have substantial potential for clinical application. They could assist healthcare professionals in identifying and managing patients with depression who are at risk of prematurely discontinuing their antidepressant treatment.

Opioids for acute and chronic pain when receiving psychiatric medications.

BACKGROUND: People with mental health disorders (MHD) like depression and anxiety are more likely to experience substance use disorders (SUDs) than those without MHD. This study assesses opioid prescription patterns for acute or chronic pain management in patients receiving medication for depression and/or anxiety. METHODS AND FINDINGS: Cross-sectional data trend analysis of 24.5 million adult medical claims was conducted using medical and pharmacy data (2012-2019) for adults aged 21-64 from the IBM Watson MarketScan Medicaid Multi-State Database. Information on sex, age, race, provider type, acute or chronic pain, and prescriptions for opioids and antidepressant and/or antianxiety medication from outpatient encounters were analyzed. For those receiving opioid prescriptions within 14 days of a pain diagnosis, ICD-10-CM codes were used to categorize diagnoses as chronic pain (back pain, neck pain, joint pain, and headache); or acute pain (dental-, ENT-, and orthopedic-related pain). Nearly 8 million adults had at least one prescription for antidepressant or antianxiety medications (MHD), with 2.5 million of those (32%) also diagnosed with an acute or chronic pain condition (pain + MHD). Among the pain + MHD group, 34% (0.85 million) received an opioid prescription within 14 days of diagnosis. Individuals with chronic pain diagnoses received a higher proportion of opioid prescriptions than those with acute pain. Among individuals with pain + MHD, the majority were aged 50-64 (35%), female (72%), and non-Hispanic white (65.1%). Nearly half (48.2%) of the opioid prescriptions given to adults with an MHD were provided by physicians. Compared to other physician types, Health Care Providers (HCPs) in emergency departments were 50% more likely to prescribe an opioid for dental pain to those with an MHD, whereas dentists were only half as likely to prescribe an opioid for dental pain management. Although overall opioid prescriptions for pain management declined from 2012 to 2019, adults with an MHD received opioids for pain management at nearly twice the level as adults without an MHD. CONCLUSIONS: Although HCPs have reduced opioids for acute or chronic pain to patients at high-risk for SUD, for example, those with MHD, the use of opioids for pain management has remained at consistently higher levels for this SUD high-risk group, suggesting the need to revisit pain management guidelines for those receiving antidepressant or antianxiety drugs.

Therapeutic trials for long COVID-19: A call to action from the interventions taskforce of the RECOVER initiative.

Although most individuals recover from acute SARS-CoV-2 infection, a significant number continue to suffer from Post-Acute Sequelae of SARS-CoV-2 (PASC), including the unexplained symptoms that are frequently referred to as long COVID, which could last for weeks, months, or even years after the acute phase of illness. The National Institutes of Health is currently funding large multi-center research programs as part of its Researching COVID to Enhance Recover (RECOVER) initiative to understand why some individuals do not recover fully from COVID-19. Several ongoing pathobiology studies have provided clues to potential mechanisms contributing to this condition. These include persistence of SARS-CoV-2 antigen and/or genetic material, immune dysregulation, reactivation of other latent viral infections, microvascular dysfunction, and gut dysbiosis, among others. Although our understanding of the causes of long COVID remains incomplete, these early pathophysiologic studies suggest biological pathways that could be targeted in therapeutic trials that aim to ameliorate symptoms. Repurposed medicines and novel therapeutics deserve formal testing in clinical trial settings prior to adoption. While we endorse clinical trials, especially those that prioritize inclusion of the diverse populations most affected by COVID-19 and long COVID, we discourage off-label experimentation in uncontrolled and/or unsupervised settings. Here, we review ongoing, planned, and potential future therapeutic interventions for long COVID based on the current understanding of the pathobiological processes underlying this condition. We focus on clinical, pharmacological, and feasibility data, with the goal of informing future interventional research studies.

The use of teledentistry in facilitating oral health for older adults: A scoping review.

BACKGROUND: Teledentistry is used in many countries to provide oral health care services. However, using teledentistry to provide oral health care services for older adults is not well documented. This knowledge gap needs to be addressed, especially when accessing a dental clinic is not possible and teledentistry might be the only way for many older adults to receive oral health care services. TYPES OF STUDIES REVIEWED: Nine databases were searched and 3,396 studies were screened using established eligibility criteria. Included studies were original research or review articles in which the intervention of interest was delivered to an older adult population (≥ 60 years) via teledentistry. The authors followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Review criteria. RESULTS: Nineteen studies were identified that met the criteria for inclusion. Only 1 study was from the United States. Seven studies had results focusing on older adult participants only, with most of those conducted in elder care facilities. The remainder consisted of studies with mixed-age populations reporting distinct results or information for older adults. The included studies used teledentistry, in both synchronous and asynchronous modes, to provide services such as diagnosis, oral hygiene promotion, assessment and referral of oral emergencies, and postintervention follow-up. CONCLUSIONS AND PRACTICAL IMPLICATIONS: Teledentistry comprises a variety of promising apps. The authors identified and described uses, promising possibilities, and limitations of teledentistry to improve the oral health of older adults.

A review of thromboembolic events in hospitalized COVID-19 patients.

CONTEXT: A higher incidence of thromboembolic disorders in COVID-19 has been reported by many clinicians worldwide. OBJECTIVE, DESIGN AND DATA SOURCES: Selected studies found in PubMed that reported thromboembolic events were included for meta-analysis using weighted fixed and random effects. Data from 19 articles on cohort studies in patients diagnosed with COVID-19 and thromboembolic events, including thrombosis and embolism were included in this review. RESULTS: The likelihood for developing thromboembolic disorders in hospitalized COVID-19 patients was 0.28 (95% CI 0.21-0.36). CONCLUSION: This study further validates the increased risk of VTE in COVID-19 patients when compared to healthy, non-hospitalized people, and hospitalized patients. These findings will be useful to researchers and medical practitioners caring for COVID-19 patients.

Development of a Mobile App to Support Self-management of Anxiety and Depression in African American Women: Usability Study.

BACKGROUND: Anxiety and depressive disorders are the most common mental health conditions among African American women. Despite the need for mental health care, African American women significantly underuse mental health services. Previous mobile health studies revealed significant improvements in anxiety or depressive symptoms after intervention. The use of mobile apps offers the potential to eliminate or mitigate barriers for African American women who are seeking access to mental health services and resources. OBJECTIVE: This study aims to evaluate the usability of the prototype of an app that is designed for supporting the self-management of anxiety and depression in African American women. METHODS: Individual usability testing sessions were conducted with 15 participants in Chapel Hill, North Carolina. Cognitive walkthrough and think-aloud protocols were used to evaluate the user interface. Eye-tracking glasses were used to record participants' visual focus and gaze path as they performed the tasks. The Questionnaire for User Interface Satisfaction was administered after each session to assess the participants' acceptance of the app. RESULTS: Participants rated the usability of the prototype positively and provided recommendations for improvement. The average of the mean scores for usability assessments (ie, overall reactions to the software, screen, terminology and app information, learning, and app capabilities) ranged from 7.2 to 8.8 on a scale of 0-9 (low to high rating) for user tasks. Most participants were able to complete each task with limited or no assistance. Design recommendations included improving the user interface by adding graphics and color, adding a tutorial for first-time users, curating a list of Black women therapists within the app, adding details about tracking anxiety and depression in the checkup graphs, informing users that they can use the talk-to-text feature for journal entries to reduce burden, relabeling the mental health information icon, monitoring for crisis support, and improving clickthrough sequencing. CONCLUSIONS: This study provides a better understanding of user experience with an app tailored to support the management of anxiety and depression for African American women, which is an underserved group. As African American women have high rates of smartphone ownership, there is a great opportunity to use mobile technology to provide access to needed mental health services and resources. Future work will include incorporating feedback from usability testing and focus group sessions to refine and develop the app further. The updated app will undergo iterative usability testing before launching the pilot study to evaluate the feasibility and acceptability of the prototype.

A Review of Thromboembolic Events in Hospitalized COVID-19 Patients.

Context: A higher incidence of thromboembolic disorders in COVID-19 has been reported by many clinicians worldwide. Objective, Design and Data Sources: Selected studies found in PubMed that reported thromboembolic events were included for meta-analysis using weighted fixed and random effects. Data from 19 articles on cohort studies in patients diagnosed with COVID-19 and thromboembolic events, including thrombosis and embolism were included in this review. Results: The likelihood for developing thromboembolic disorders in hospitalized COVID-19 patients was 0.28 (95% CI 0.21â€"0.36). Conclusion: This study further validates the increased risk of VTE in COVID-19 patients when compared to healthy, non-hospitalized people, and hospitalized patients. These findings will be useful to researchers and medical practitioners caring for COVID-19 patients.

Diagnostic Reliability of In-Person Versus Remote Dermatology: A Meta-Analysis.

Background:Studies comparing teledermatology with in-person dermatologists report wide variations in diagnostic agreement. Teledermatology studies should have two independent in-person consultations establishing a baseline for comparing diagnoses made face-to-face and those made remotely.Objective:To perform a meta-analysis of comparison studies having two in-person dermatologists and at least one remote dermatologist examining the same patients to determine the overall preponderance of agreement.Method:Studies having two in-person diagnosticians were identified from previous teledermatology research reviews and independent searches of PubMed and other databases. Data from six studies identified were meta-analyzed.Results:Some studies showed high levels of diagnostic concordance, while others did not. Meta-analysis revealed that concordance rates reported in the teledermatology and clinical (in-person) consultations were significantly different (odds ratio = 0.55 [Mantel-Haenszel, fixed effect model, 95% confidence interval = 0.42-0.72], χ2 = 11.87, p < 0.05, I2 = 58%). Overall results showed that in-person primary diagnoses are significantly more concordant than remote. The results also suggest that diagnoses made in-person and teledermatology were marginally but significantly different than remote.Conclusion:Although the results of this study suggest teledermatology diagnoses are less reliable than those in-person, there are still valid reasons for using teledermatology to improve access, reduce costs, and triage patients to determine those warranting further in-person consultation and/or laboratory tests. More caution should be exercised in teledermatology when diagnoses involve risky skin conditions. There is evidence that this happens in practice.

Diagnostic Laboratory Tests for COVID-19 in US: Methodology and Performance.

Background: COVID-19 is a global pandemic caused by a new coronavirus strain. Innovative tests have been developed to diagnose and characterize the spread of COVID-19. Only a few studies have reported the diagnostic value of currently available tests. The diagnostic performance of the tests is a major concern after the recent resurgence in COVID-19. Methods: Published papers and FDA data on the currently available tests were used for analysis. Likelihood ratios, and predictive values of tests were computed. Only FDA approved tests were included. RT-PCR performance among different specimen types were also explored. Main results: All the published reports on the COVID-19 tests reported RT-PCR as the validation tool for their results. Not all available COVID-19 tests reported their sensitivity and specificity. Among the publications which reported, the positive likelihood ratio ranged between 0.15 to 0.88 and tests had high negative likelihood ratio (0.99). Conclusion: Although most recent publications showed high positive and negative likelihood ratios and high predictive values, the publications on test accuracy and validity have limited scope primarily due to their small sample size and insufficiencies in methodology and published data. Although most lab tests reported high sensitivity and specificity, false omission and false discovery rates were found notable in several COVID-19 lab tests. These results suggest need for caution on test results' interpretation. Practitioners also need to integrate evidence that is evolving rapidly.

Effectiveness of herbal oral care products in reducing dental plaque & gingivitis - a systematic review and meta-analysis.

BACKGROUND: Despite the large number of trials conducted using herbal oral care products for the reduction of dental plaque or gingivitis, results are conflicting and inconclusive. OBJECTIVE: To assess the effectiveness of herbal oral care products compared to conventional products in reducing dental plaque and gingivitis adults. METHODS: We searched the following databases for Randomised controlled trials (RCTs): MEDLINE Ovid, EMBASE Ovid etc. which yielded 493 trails. Of which 24 RCTs comparing herbal toothpaste or mouth rinse with over the counter toothpaste or mouth rinse in adults aged 18 to 65 years were included. Two authors extracted information and assessed the methodological quality of the included studies using Risk of Bias. Meta-analyses using the random-effects model were conducted for four outcomes for tooth paste and mouth rinse respectively. Mean difference (MD) or standardized mean difference (SMD) were used to estimate the effect, with 95% confidence intervals. RESULTS: A total of 1597 adults participated in 24 RCT studies. These were classified as herbal toothpaste (HTP) (15 trials, 899 participants) and herbal mouth rinse (HMR) (9 trials, 698 participants) compared with non-herbal toothpaste (NHTP) or non-herbal mouth rinse (NHMR). We found that HTP was superior over NHTP (SMD 1.95, 95% CI (0.97-2.93)) in plaque reduction. The long-term use of NHMR was superior in reduction of dental plaque over HMR (SMD -2.61, 95% (CI 4.42-0.80)). From subgroup analysis it showed that HTP was not superior over fluoride toothpaste (SMD 0.99, 95% CI (0.14-2.13)) in reducing dental plaque. However, HTP was favoured over non-fluoride toothpaste (SMD 4.64, 95% CI (2.23-7.05)). CONCLUSION: For short-term reduction in dental plaque, current evidence suggests that HTP is as effective as compared to NHTP; however, evidence is from low quality studies.

Selenium, copper, zinc and hypertension: an analysis of the National Health and Nutrition Examination Survey (2011-2016).

BACKGROUND: Hypertension is a major cardiovascular illness worldwide with many underlying causes. The role of trace elements selenium, copper, and zinc in hypertension is uncertain. The objective of this study was to evaluate the role of these trace elements in hypertension. METHOD: Data from 6683 National Health and Nutrition Examination Survey (NHANES) participants from 2011 to 2016 were analyzed using Statistical Analytical System (SAS, version 9.4) software for the role of trace elements in hypertension in age range 8 to 80 years, irrespective of the antihypertensive medication taken. Recent American Heart Association guidelines and pediatric practice guidelines for hypertension were used. RESULTS: Findings showed a significant positive association between serum selenium levels and hypertension but not serum zinc and copper. At optimal levels for transport and distribution, serum selenium levels of 120 µg/L or higher (reference level 70-150 µg/L) were significantly associated with hypertension (OR = 1.46, 95% CI = 1.29-1.66) after adjusting for confounding factors. At serum selenium level greater than 150 µg/L, the association with hypertension strengthened (OR = 1.69, 95% CI = 1.32-2.17). CONCLUSION: A positive association was found between serum selenium and hypertension, irrespective of age or anti-hypertensive medications intake. These findings also suggest that the reference levels of serum levels in healthy individuals may need to be re-determined, if supported by additional studies. If validated, patients with hypertension may also need to be cautioned about selenium intake.

The Effectiveness of Mobile Phone-Based Text Messaging to Intervene with Problem Drinking in Youth and Younger Adult Population: A Meta-Analysis.

Background: Mobile phone-based text messages have been used to address alcohol use disorder in younger populations by promoting abstinence, decreased alcohol intake, and moderation. Methods: A meta-analysis was conducted to summarize the effectiveness of mobile phone text messaging to address problem drinking by youth and younger adults. Results: Authors systematically searched PubMed, Embase, CINAHL, Web of Science, APA PsycNET, and the Cochrane Central Registry of Controlled Trials for literature published in the past 8 years (2010-2018). Randomized control trials and pre-post studies of younger people that used the problem drinking criteria of the National Institute on Alcohol Abuse and Alcoholism (NIAAA) were included in the meta-analysis. Conclusions: The meta-analysis suggests that text message-based interventions might not be effective in decreasing alcohol intake in the younger populations.

Sex and race or ethnicity disparities in opioid prescriptions for dental diagnoses among patients receiving Medicaid.

BACKGROUND: The objective of this study was to identify specific factors (sex, race or ethnicity, and health care provider type) associated with patient receipt of an opioid prescription after a dental diagnosis. METHODS: The authors used Medicaid claims dated from January 1, 2013, through September 30, 2015, for 13 U.S. states in this study. The authors identified oral health-related conditions by using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes 520.0 through 529.9. RESULTS: During the 2013 through 2015 study period, among the more than 1,008,400 Medicaid patients with a dental diagnosis, 19.8% filled an opioid prescription within 14 days of diagnosis. Female patients were 50% more likely to receive an opioid prescription for pain management of a dental condition than were men (odds ratio [OR], 1.50; 95% confidence interval [CI], 1.49 to 1.52). Non-Hispanic whites and African Americans were approximately twice as likely to receive opioids than were Hispanics (OR, 2.12; 95% CI, 2.05 to 2.19; OR, 1.90; 95% CI, 1.84 to 1.96, respectively). Patients receiving oral health care in an emergency department were more than 7 times more likely to receive an opioid prescription than were patients treated in a dental office (OR, 7.28; 95% CI, 7.13 to 7.43). Patients with a dental condition diagnosed were more than 4 times as likely to receive an opioid from a nurse practitioner as from a dentist (OR, 4.31; 95% CI, 4.19 to 4.44). Opioid use was substantially higher among African American female patients (OR, 2.02; 95% CI, 1.93 to 2.10) and non-Hispanic white female patients (OR, 2.16; 95% CI, 2.07 to 2.24) than among Hispanic female patients. CONCLUSIONS: Opioid prescribing patterns differ depending on patient race or ethnicity, sex, and health care provider source in patients with a dental diagnosis in the United States. PRACTICAL IMPLICATIONS: Dentists are providing substantially fewer opioid prescriptions compared with their medical colleagues for pain treatment after a dental diagnosis in the Medicaid population. When considering pain management for dental and related conditions, dentists should continue with conservative prescribing practices as recommended.

Opioid Prescriptions for Acute and Chronic Pain Management Among Medicaid Beneficiaries.

INTRODUCTION: Millions of Americans are affected by acute or chronic pain every year. This study investigates opioid prescription patterns for acute and chronic pain management among U.S. Medicaid patients. METHODS: The study used medical and pharmacy claims data obtained from the multistate Truven MarketScan Medicaid Database from 2013 to 2015 for Medicaid patients receiving health care. Medicaid beneficiaries who utilized an outpatient healthcare facility for back pain, neck pain (cervicalgia), joint pain (osteoarthritis and rheumatoid arthritis), orthopedics (simple/closed fractures and muscle strains/sprains), headache (cluster headaches and migraines), dental conditions, or otorhinolaryngologic (otalgia) diagnoses, based on the International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes, and received an opioid prescription within 14 days of diagnosis were included in this study. RESULTS: There were 5,051,288 patients with 1 of the 7 diagnostic groupings; 18.8% had an opioid prescription filled within 14 days of diagnosis. Orthopedic pain (34.8%) was the primary reason for an opioid prescription, followed by dental conditions (17.3%), back pain (14.0%), and headache (12.9%). Patients receiving an opioid for conditions associated with acute pain management, such as otorhinolaryngologic (OR=1.93, 95% CI=1.85, 2.0), dental (OR=1.50, 95% CI=1.48, 1.53), or orthopedic conditions (OR=1.31, 95% CI=1.29, 1.32), were more likely to receive the prescription from an emergency department provider versus a general practitioner. However, compared with general practitioners, other providers were more likely to prescribe opioids for conditions associated with chronic pain management. CONCLUSIONS: More than half of Medicaid beneficiaries receiving an opioid for pain management do so for orthopedic- and dental-related reasons, with emergency department providers more likely to prescribe opioids. Modifications to the guidelines addressing temporary acute pain management practices with opioids would be likely to benefit emergency department providers the most.

The PsyTAR dataset: From patients generated narratives to a corpus of adverse drug events and effectiveness of psychiatric medications.

The "Psychiatric Treatment Adverse Reactions" (PsyTAR) dataset contains patients' expression of effectiveness and adverse drug events associated with psychiatric medications. The PsyTAR was generated in four phases. In the first phase, a sample of 891 drugs reviews posted by patients on an online healthcare forum, "askapatient.com", was collected for four psychiatric drugs: Zoloft, Lexapro, Cymbalta, and Effexor XR. For each drug review, patient demographic information, duration of treatment, and satisfaction with the drugs were reported. In the second phase, sentence classification, drug reviews were split to 6009 sentences, and each sentence was labeled for the presence of Adverse Drug Reaction (ADR), Withdrawal Symptoms (WDs), Sign/Symptoms/Illness (SSIs), Drug Indications (DIs), Drug Effectiveness (EF), Drug Infectiveness (INF), and Others (not applicable). In the third phases, entities including ADRs (4813 mentions), WDs (590 mentions), SSIs (1219 mentions), and DIs (792 mentions) were identified and extracted from the sentences. In the four phases, all the identified entities were mapped to the corresponding UMLS Metathesaurus concepts (916) and SNOMED CT concepts (755). In this phase, qualifiers representing severity and persistency of ADRs, WDs, SSIs, and DIs (e.g., mild, short term) were identified. All sentences and identified entities were linked to the original post using IDs (e.g., Zoloft.1, Effexor.29, Cymbalta.31). The PsyTAR dataset can be accessed via Online Supplement #1 under the CC BY 4.0 Data license. The updated versions of the dataset would also be accessible in https://sites.google.com/view/pharmacovigilanceinpsychiatry/home.

A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications.

"Psychiatric Treatment Adverse Reactions" (PsyTAR) corpus is an annotated corpus that has been developed using patients narrative data for psychiatric medications, particularly SSRIs (Selective Serotonin Reuptake Inhibitor) and SNRIs (Serotonin Norepinephrine Reuptake Inhibitor) medications. This corpus consists of three main components: sentence classification, entity identification, and entity normalization. We split the review posts into sentences and labeled them for presence of adverse drug reactions (ADRs) (2168 sentences), withdrawal symptoms (WDs) (438 sentences), sign/symptoms/illness (SSIs) (789 sentences), drug indications (517), drug effectiveness (EF) (1087 sentences), and drug infectiveness (INF) (337 sentences). In the entity identification phase, we identified and extracted ADRs (4813 mentions), WDs (590 mentions), SSIs (1219 mentions), and DIs (792). In the entity normalization phase, we mapped the identified entities to the corresponding concepts in both UMLS (918 unique concepts) and SNOMED CT (755 unique concepts). Four annotators double coded the sentences and the span of identified entities by strictly following guidelines rules developed for this study. We used the PsyTAR sentence classification component to automatically train a range of supervised machine learning classifiers to identifying text segments with the mentions of ADRs, WDs, DIs, SSIs, EF, and INF. SVMs classifiers had the highest performance with F-Score 0.90. We also measured performance of the cTAKES (clinical Text Analysis and Knowledge Extraction System) in identifying patients' expressions of ADRs and WDs with and without adding PsyTAR dictionary to the core dictionary of cTAKES. Augmenting cTAKES dictionary with PsyTAR improved the F-score cTAKES by 25%. The findings imply that PsyTAR has significant implications for text mining algorithms aimed to identify information about adverse drug events and drug effectiveness from patients' narratives data, by linking the patients' expressions of adverse drug events to medical standard vocabularies. The corpus is publicly available at Zolnoori et al. [30].

Identifying the Underlying Factors Associated With Patients' Attitudes Toward Antidepressants: Qualitative and Quantitative Analysis of Patient Drug Reviews.

BACKGROUND: Nonadherence to antidepressants is a major obstacle to deriving antidepressants' therapeutic benefits, resulting in significant burdens on the individuals and the health care system. Several studies have shown that nonadherence is weakly associated with personal and clinical variables but strongly associated with patients' beliefs and attitudes toward medications. Patients' drug review posts in online health care communities might provide a significant insight into patients' attitude toward antidepressants and could be used to address the challenges of self-report methods such as patients' recruitment. OBJECTIVE: The aim of this study was to use patient-generated data to identify factors affecting the patient's attitude toward 4 antidepressants drugs (sertraline [Zoloft], escitalopram [Lexapro], duloxetine [Cymbalta], and venlafaxine [Effexor XR]), which in turn, is a strong determinant of treatment nonadherence. We hypothesized that clinical variables (drug effectiveness; adverse drug reactions, ADRs; perceived distress from ADRs, ADR-PD; and duration of treatment) and personal variables (age, gender, and patients' knowledge about medications) are associated with patients' attitude toward antidepressants, and experience of ADRs and drug ineffectiveness are strongly associated with negative attitude. METHODS: We used both qualitative and quantitative methods to analyze the dataset. Patients' drug reviews were randomly selected from a health care forum called askapatient. The Framework method was used to build the analytical framework containing the themes for developing structured data from the qualitative drug reviews. Then, 4 annotators coded the drug reviews at the sentence level using the analytical framework. After managing missing values, we used chi-square and ordinal logistic regression to test and model the association between variables and attitude. RESULTS: A total of 892 reviews posted between February 2001 and September 2016 were analyzed. Most of the patients were females (680/892, 76.2%) and aged less than 40 years (540/892, 60.5%). Patient attitude was significantly (P<.001) associated with experience of ADRs, ADR-PD, drug effectiveness, perceived lack of knowledge, experience of withdrawal, and duration of usage, whereas oth age (F4,874=0.72, P=.58) and gender (χ24=2.7, P=.21) were not found to be associated with patient attitudes. Moreover, modeling the relationship between variables and attitudes showed that drug effectiveness and perceived distress from adverse drug reactions were the 2 most significant factors affecting patients' attitude toward antidepressants. CONCLUSIONS: Patients' self-report experiences of medications in online health care communities can provide a direct insight into the underlying factors associated with patients' perceptions and attitudes toward antidepressants. However, it cannot be used as a replacement for self-report methods because of the lack of information for some of the variables, colloquial language, and the unstructured format of the reports.