Yoxas/statistical_literacy huggingface dataset:
Opioid use disorder (OUD) among pregnant individuals in the U.S. has been on the rise, and carries significant health risks if left untreated. Despite the effectiveness of medication for opioid use disorder (MOUD), rates of treatment utilization remain low, and access varies by state. This study seeks to expand on what is known about the utilization of MOUD by estimating annual percentages of MOUD use among treatment admissions among pregnant individuals across all 50 states and U.S. regions. The study also examines how pregnant people experiencing OUD are referred to substance use treatment programs to better understand which referral sources are most effective at linking them to MOUD. This study estimated MOUD utilization among pregnant admissions over a 9-year period, identifying trends in the use of this treatment, using national and state level data from the Treatment Episode Dataset-Admissions (TEDS-A). The sample were pregnant females who admitted to treatment with opioids as a primary substance use problem, in all 50 states, from 2010 to 2018. The study examined the referral pathways through which pregnant individuals enter treatment, identifying variations in how they are linked with MOUD. A binary logistic regression was conducted to estimate significant sociodemographic characteristics and referral sources associated with MOUD receipt in treatment. Among admissions who reported both pregnancy and OUD across nine years (n= 84,492), the average percentage of MOUD use was 50.8%. Average annual MOUD use was highest in the Northeast region (63.42%), and lowest in the South (34.01%). Maine had the highest MOUD use, for an average of 81.99% across all years. Pregnant individuals who were self-referred to treatment comprised the largest percentage of admissions leading to MOUD use (62.1%), and those referred by the criminal justice system or other legal entity resulted in the lowest MOUD use across years (23.6%). Binary logistic regression results found that race, education, employment status, and referral source were significantly associated with MOUD receipt in 2018; specifically, individuals with a higher education, those were unemployed, and those who were referred to treatment by another substance use or healthcare provider or from the criminal or legal system, were significantly less likely to receive MOUD. This study estimated that an average of approximately half of admissions who were pregnant with OUD received MOUD as part of their treatment plans, and identified regional and state trends which can be further investigated to understand factors contributing to these geographical variations in MOUD access. Also notable were findings pertaining to low MOUD receipt among those referred from criminal or legal entities, warranting further investigation. These findings can lead to a better understanding of which referral sources to treatment can act as effective pathways to MOUD, and best practices to link pregnant individuals with evidence-based care.
Opioid use disorder (OUD) during pregnancy presents a significant risk to maternal, fetal, and neonatal health, increasing the likelihood of adverse events, such as maternal overdose, pregnancy loss, stillbirth, preterm birth, low birth weight, and neonatal abstinence syndrome. In order to reduce the risk of these outcomes, the standard of care for OUD during pregnancy in many jurisdictions within the United States and Canada is opioid agonist therapy (OAT). OAT refers to prescription medications that alleviate or eliminate opioid withdrawal symptoms, so that opioid use can be managed more safely. Although OAT has been recognized as a safe option for pregnant people with OUD, many jurisdictions do not have treatment guidelines regarding pharmacological options, dosing recommendations, side effect management, and individual preferences. There is currently a lack of systematic evidence on the impacts of different OAT regimens on pregnancy outcomes. We aim to evaluate the impacts of specific OAT agents on pregnancy outcomes and inform recommendations for practitioners treating pregnant people with OUD. The MEDLINE, Embase, CINAHL, and PsycINFO databases will be searched for published quantitative studies assessing pregnancy outcomes for individuals on OAT. Given the substantially increased risk of preterm birth, low birth weight, small for gestational age, and stillbirth among pregnant people with OUD, these four end points will comprise our primary outcomes. Database searches will not be restricted by date, and conference abstracts will be restricted to the past 2 years. Titles, abstracts, and full-text articles will be independently screened by 2 reviewers. Data will be extracted independently and in duplicate, using a data extraction form to reduce the risk of reviewer bias. The risk of bias within individual studies will be assessed by using the appropriate CASP (Critical Appraisal Skills Programme) checklists. For studies that consider the same research questions, interventions, or outcomes, meta-analyses will be conducted to synthesize the pooled effect size. In the event that studies cannot be compared directly, results will be synthesized in a narrative account. Between-study heterogeneity will be measured by using the τ2 statistic. If more than 10 studies are available for pooling, publication bias will be evaluated by using the Egger regression test. As of January 2023, a total of 3266 abstracts have been identified for screening. Data extraction is expected to commence in February 2023. The topic of OAT and its effect on pregnancy is an understudied area that has the potential to improve health outcomes, clinical practice, education, and community advocacy. The results of our review will be used to inform clinical practice guidelines and improve health outcomes for pregnant people. Findings will be disseminated to diverse groups of stakeholders, including policy makers, clinicians, community partners, and individuals with lived experience of drug use. PROSPERO CRD42022332082; https://tinyurl.com/2p94pkx5. DERR1-10.2196/42417.
Opioids are important drugs used in pain management due to their strong analgesic effects. However, there is limited research on nurses' perceptions of administering opioids. This study aims to determine nurses' perceptions of administering opioids. This study used a descriptive cross-sectional design. A university hospital located in the south of Turkey. A self-reporting survey was provided to a convenience sample of 190 nurses. The data were collected with the "Introductory Information Form," and the "Nurses' Perceptions on Opioid Medications Administration Questionnaire." Descriptive statistics were applied for data analysis. The mean age of the nurses was 33.11 ± 7.82 and 86.3% were female. The majority of the nurses did not receive any training on opioid administration other than their undergraduate education. Among the nursing staff, 90.0% expressed the importance of having trust in the prescribing doctor for their comfort in administering opioids. Of the nurses, 30% were undecided about "Nurses associate opioids with drug abuse." and 78.9% disagreed with the statement "Nurses often associate giving opioids with helping patients to die." The results of this study provided further insight into nurses' perceptions of administering opioids that potentially contribute to pain management. Nurses had information needs and some prejudices regarding opioid administration. Also, relying on the prescribing doctor was important, and problems with prescribing were an obstacle to pain control. Determining the knowledge and needs of nurses regarding opioid administration and providing in-service training on this subject would positively affect their approach to opioids.
Opposed to other spectral CT techniques, fat quantification in dual-layer detector CT (dlCT) has only recently been developed. The impact of concomitant iron overload and dlCT-specific protocol settings such as the dose right index (DRI), a measure of image noise and tube current, on dlCT fat quantification was unclear. Further, spectral information became newly available <120 kV. Therefore, this study's objective was to evaluate the impact of iron, changing tube voltage, and DRI on dlCT fat quantification. Phantoms with 0 and 8mg/cm3 iron; 0 and 5mg/cm3 iodine; 0, 10, 20, 35, 50, and 100% fat and liver equivalent, respectively, were scanned with a dlCT (CT7500, Philips, the Netherlands) at 100kV/20DRI, 120kV/20DRI, 140kV/20DRI, and at 120kV/16DRI, 120kV/24DRI. Material decomposition was done for fat, liver, and iodine (A1); for fat, liver, and iron (A2); and for fat, liver, and combined reference values of iodine and iron (A3). All scans were analyzed with reference values from 120kV/20DRI. For statistics, the intraclass correlation coefficient (ICC) and Bland-Altman analyses were used. In phantoms with iron and iodine, results were best for A3 with a mean deviation to phantom fat of 1.3±2.6% (ICC 0.999 [95%-confidence interval 0.996-1]). The standard approach A1 yielded a deviation of -2.5±3.0% (0.998[0.994-0.999]), A2 of 6.1±4.8% (0.991[0.974-0.997]). With A3 and changing tube voltage, the maximal difference between quantified fat and the phantom ground truth occurred at 100kV with 4.6±2.1%. Differences between scans were largest between 100kV and 140kV (2.0%[-7.1-11.2]). The maximal difference of changing DRI occurred between 16 and 24 DRI with 0.4%[-2.2-3.0]. For dlCT fat quantification in the presence of iron, material decomposition with combined reference values for iodine and iron delivers the most accurate results. Tube voltage-specific calibration of reference values is advisable while the impact of the DRI on dlCT fat quantification is neglectable.
Optimal self-care promotes glycaemic control and prevents diabetes complications. Its performance is facilitated by an adequate level of diabetes knowledge. This review aimed to evaluate diabetes knowledge among Malaysians by assessing diabetes knowledge scores and their associated factors. A comprehensive bibliographic search for Malaysian studies on diabetes knowledge was conducted in PubMed, Scopus and Google Scholar. Relevant literature was systematically selected and described; pertinent data were extracted; and data on diabetes knowledge levels and their associated factors were synthesised. The quality of the identified studies was assessed using a Joanna Briggs Institute critical appraisal tool. Thirty Malaysian cross-sectional studies that measured diabetes knowledge levels were retrieved. Nineteen of them used a named diabetes knowledge measurement tool, with 14 using the 14-item Michigan Diabetes Knowledge Test. A low knowledge level was prevalent among patients with diabetes mellitus (pooled mean knowledge score=6.92, proportion of patients with a low knowledge level=47.97%). The knowledge score was associated with some sociodemographic variables, health literacy, self-care and glycaemic control. The association of diabetes knowledge with diabetes outcomes (e.g. self-care and glycaemic control) reflects the potential of the former as a target of intervention. Periodic measurement of diabetes knowledge in healthcare settings and among populations can help in assessing the effectiveness of diabetes educational interventions. Concerted efforts to improve diabetes knowledge among Malaysians have the potential to fill knowledge-practice gaps.
Optimizing women's health and knowledge of preconception healthcare before conceiving a pregnancy decreases the risk of adverse pregnancy outcomes. However, preconception health care is one of the missing pillars in the continuum of maternal and child health care in Ethiopia. Therefore, this study aimed to assess knowledge of pre-conception health, its relation to planned pregnancy, parity, family planning use, and education among married women in Southern Ethiopia. A community-based cross-sectional study was conducted with 337 married women recruited from March 25 to April 30, 2018 in Jinka town. A simple random sampling technique was employed and the data was collected using a structured questionnaire. Data analysis involved calculating frequencies, percentages, and logistic regression. Associations were assessed using odds ratios and 95% confidence intervals with statistical significance determined at a p-value < 0.05. The overall women's preconception health care knowledge score in this study was 55.2%, which is a moderate score. In multivariable analyses, women's secondary level of education [AOR = 2.3; 95% CI = 1.13-4.87], family planning use [AOR = 2.6, 95% CI = 1.37-4.87], planned pregnancy [AOR = 3.2, 95% CI = 1.35-7.44], Nullyparity [AOR = 21.2; 95% CI = 4.92-91.5], and market trade vendors [AOR = 2.5; 95%CI = 1.06-6.03], were significantly associated with knowledge of preconception health care. The findings show that women's knowledge of preconception health care is moderate. Women's knowledge of preconception health care can be linked to their level of education, use of family planning methods, pregnancy planning, and Nullyparity. Therefore, the government and other key stakeholders need to develop a specific education package that improves women's knowledge of preconception care and pregnancy planning, taking into account factors such as levels of education and literacy when designing implementation strategies.
Optometrists should look to take every opportunity to expand their knowledge, understanding and skills pertaining to vitreoretinal conditions. Despite the existence of acute eye care schemes and the up-skilling of optometrists, many units are still noticing large numbers of poor-quality referrals with high false positive rates. The authors pondered whether these schemes are effective. At two different time points, a prospective analysis of patients took place, of all the flashing lights and floaters referrals coming into secondary care at the Royal Glamorgan Hospital, Wales, UK. The following data was captured: the exact source of the primary care referral, the diagnosis being queried, the secondary care diagnoses made and the secondary care management decisions. The accuracy of retinal break and Shafer's sign detection were also directly compared between primary care and secondary care using Cohen's Kappa Coefficient. For the 2018 period, n = 51 patients were included. For the 2022-23 period n = 100 patients were included. The majority of referrals during both periods were from optometrists (>80%) via the WECS pathway. The most common diagnoses being queried were retinal breaks (~50%), followed by retinal detachments (~20%). Interestingly up to 20% of patients seen in secondary care were diagnosed as normal examinations and ~ 20%. Over 1/3 of patients were discharged after their first visit to the EEC. Statistically significant differences were found between the accuracy of retinal tear and Shafer's identification between the primary and secondary care settings. A high number of false positive referrals are coming into secondary care from the WECS pathway and clear training and education needs have been identified.
Oral and dental health (ODH) is a significant public health concern globally, affecting billions of people. This cross-sectional study aimed to examine the prevalence of dental caries using the DMFT index and investigate its relationship with cardiovascular diseases in the Iranian Kurdish population. A total of 3,996 individuals aged 35-70 years were included from the Dehgolan prospective cohort study (DehPCS). Clinical examinations were performed to assess decayed (DT), missing (MT) and filled (FT) teeth (DMFT index). Data on demographics, socioeconomic status, medical history, oral hygiene practices were also collected. Cardiovascular disease (CVD) history was self-reported via questionnaires assessing heart disease, heart attack and stroke. Logistic regression was used to assess associations between oral health indicators and self-reported CVD, adjusting for potential confounders. The mean DMFT score was 18.18 ± 19, indicating a high oral disease burden. Specifically, 60.04% had DT, 37.82% had more than 16 MT, and 38.83% had FT. Only 13.21% reported flossing regularly and 43.17% brushed less than daily, showing suboptimal oral hygiene. The overall CVD prevalence was 9.21%. Individuals with high DMFT (≥ 14) scores had approximately two times higher CVD prevalence than those with low DMFT. DMFT decreased by 10.23% with increase in education level, and by 5.87% as economic status increased In adjusted analyses, high DMFT scores (OR = 1.5, 95%CI: 1.2-1.9) and MT (OR = 1.5, 95%CI: 1.1-2.1) were associated with 50-150% increased odds of CVD, though associations weakened after adjusting for age. Among men, DMFT remained a significant predictor for CVD after age adjustment, with an odds ratio of 2.37 (95% CI: 1.22-4.60). This population had substantial oral disease and poor oral hygiene. Higher DMFT scores and MT positively correlated with increased CVD prevalence. Promoting preventive oral care and health education could help reduce dental issues and potentially lower CVD risk. Further research is needed to clarify biological mechanisms linking oral and systemic health.
Oral anticoagulants (OACs) reduce the risk of ischemic stroke but may increase the risk of major bleeding in patients with non-valvular atrial fibrillation (NVAF). Various risk scores, such as HAS-BLED, ATRIA, ORBIT, and DOAC, have been proposed to assess the risk of major bleeding in patients with NVAF receiving OACs. However, limited data are available regarding bleeding risk stratification in Japanese patients with NVAF. Of the 16,098 NVAF patients from the J-RISK AF study, the combined data of the five major AF registries in Japan (J-RHYTHM Registry, Fushimi AF Registry, Shinken Database, Keio interhospital Cardiovascular Studies, and Hokuriku-Plus AF Registry), we analyzed 11,539 patients receiving OACs (median age, 71 years old; women, 29.6%; median CHA2DS2-VASc score, 3). During the 2-year follow-up period, major bleeding occurred in 274 patients (1.3% per patient-year). In a multivariate Cox proportional hazards analysis, an advanced age, hypertension (systolic blood pressure ≥ 150 mmHg), bleeding history, anemia, thrombocytopenia, and concomitant antiplatelet agents were significantly associated with a higher incidence of major bleeding. We developed a novel risk stratification system, HED-[EPA]2-B3 score, which had a better predictive performance for major bleeding (C-statistics 0.67, [95% confidence interval, 0.63-0.70]) than the HAS-BLED (0.64, [0.60-0.67], P for difference 0.02) and ATRIA (0.63, [0.60-0.66], P for difference ＜0.01) scores. Furthermore, it was non-significantly higher than the ORBIT (0.65, [0.62-0.68], P for difference 0.07) and DOAC (0.65, [0.62-0.68], P for difference 0.17) scores. Our novel risk stratification system, the HED-[EPA]2-B3 score, may be useful for identifying Japanese patients receiving OACs at a risk of major bleeding.
Oral assessments are essential components of board certification in numerous fields, as they provide insight into problem-solving capacity and clinical reasoning. The development of clinical reasoning often begins in undergraduate medical education and remains a challenge to assess. We developed a pilot oral assessment to evaluate medical student oral presentations and systematically assess clinical reasoning. This was incorporated into a previously existing cumulative assessment at the conclusion of the third year of medical school, with the intent to demonstrate feasibility and future reliability of this exam format. This pilot oral assessment was developed using content taught during third year clerkships. A modified Assessment of Reasoning Tool (ART) was used as the evaluation metric. It was conducted virtually to include faculty members from multiple disciplines and accommodate schedules and space limitations. A total of 152 third year medical students completed the exam, with a total of 15 faculty examiners. 89% of medical students scored as complete in hypothesis directed history, 93% in problem representation, 86% in prioritized differential diagnoses, and 67% in effectively directing management. Most examiners felt an oral assessment is effective to determine a medical student's clinical reasoning ability. Virtual oral assessments of clinical reasoning can be incorporated in undergraduate medical education to identify students struggling with components of clinical reasoning, while also allowing maximum flexibility for the clinician educator workforce as examiners. Longitudinal use of these exams would be valuable to track the development of clinical reasoning across the medical school curriculum.
Oral conditions represent a critical public health challenge, and together with descriptive and predictive epidemiology, causal inference has a crucial role in developing and testing preventive oral health interventions. By identifying not just correlations but actual causes of disease, causal inference may quantify the average effect of interventions and guide policies. Although authors are not usually explicit about it, most oral health studies are guided by causal questions. However, methodological deficiencies limit their interpretability and the implementation of their findings. This manuscript is a call to action on the use of causal inference in oral research. Its application starts with asking theoretically sound questions and being explicit about causal relationships, defining the estimates to evaluate, and measuring them properly. Beyond promoting causal analytical approaches, we emphasize the need for more causal thinking to promote thoughtful research questions and the use of appropriate methods to answer them. Causal inference relies on the plausibility of assumptions underlying the data analysis and the quality of the data, and we argue that high-quality observational studies can be used to estimate average causal effects. Although individual efforts to embrace causal inference in dentistry are essential, they will not yield substantial results if not led by a systematic and structural change in the field. We urge scientific societies, funding bodies, dental schools, and journals to promote transparency in research, causal thinking, and causal inference projects to move the field toward more meaningful studies. It is also time for researchers to move forward and connect with the community, co-produce investigations and translate their findings, and engage in interventions that impact public health. We conclude by highlighting the importance of triangulating results from different data sources and methods to support causal inference and inform decision-making on interventions to effectively improve population oral health.