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Nevin Manimala Statistics

Minocycline incorporated cobalt oxide nanoparticles in dental sealants: An in vitro study

Microsc Res Tech. 2022 Apr 14. doi: 10.1002/jemt.24109. Online ahead of print.

ABSTRACT

The purpose of this study was to introduce antibacterial property to pits and fissure sealant (PFS) in order to mitigate the major clinical problems associated with PFS, such as microleakage and secondary caries. We prepared a pH reliant cobalt oxide nanoparticle incorporated with minocycline (MNC@CO) and characterized to investigate its antibacterial potential against Streptococcus sobrinus. The physiochemical, morphological, and drug release kinetics at different pH (7.4, 5.0, and 3.5) from nanoparticles were investigated. The MNC@CO were added at 2.5% and 5.0% into experimental PFS and characterized for their antibiofilm capacity, biocompatibility, and mechanical properties including compressive and flexural strength. The groups 2.5% and 5.0% has shown statistically significant antimicrobial capacity against S. sobrinus compared to control (p < .05). The highest percentage of MNC release at different pH (especially at pH 5.0 and 3.5) was observed from 5.0% MNC@CO doped PFS. The PFS doped with 2.5% MNC@CO showed a highest compressive strength (110 MPa) over a period of 70 days as compared to 5.0% MNC@CO (75 MPa) and control (80 MPa). The flexural strength of both experimental groups was lower for both time points (24 h and 30 days) than control. In conclusion, the present study found that 2.5% MNC@CO doped PFS showed considerable anti-biofilm potential without compromising mechanical properties.

PMID:35421274 | DOI:10.1002/jemt.24109

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Nevin Manimala Statistics

Description and Evaluation of an Evidence-Based Residency Curriculum Using the Evidence-Based Medicine Environment Survey

Fam Med. 2022 Apr;54(4):298-303. doi: 10.22454/FamMed.2022.652106.

ABSTRACT

BACKGROUND AND OBJECTIVES: Teaching medical trainees evidence-based medicine (EBM) is required by the Accreditation Council for Graduate Medical Education. Most published graduate EBM curricula focus on critical appraisal over point-of-care information mastery. Faculty at the University of Rochester Family Medicine Residency implemented a clinically integrated, cyclical EBM curriculum juxtaposing information mastery with expert-level skills such as critical appraisal. We administered the Evidence-Based Medicine Environment Survey (EBMES) to learners before and after the yearlong curriculum.

METHODS: Two cohorts of participating third-year residents completed the EBMES before and after an EBM curriculum.

RESULTS: Over 2 years, 21 residents completed pre- and postevaluations. Resident perception of the EBM educational and practice environment was high at baseline and improved for 15 of 36 survey items (P&lt;.05).

CONCLUSIONS: Resident perception of the EBM learning environment improved after participation in a yearlong curriculum. Nearly all of the content covered in the “Science of Family Medicine” curriculum and measured by EBMES improved in a statistically significant manner. We propose that EBM curricula should combine traditional literature search and critical appraisal skills with information mastery to maximize effectiveness. Our curriculum can be modified to fit other graduate family medicine contexts.

PMID:35421246 | DOI:10.22454/FamMed.2022.652106

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Nevin Manimala Statistics

Social, Individual, and Environmental Characteristics of Family Medicine Resident Burnout: A CERA Study

Fam Med. 2022 Apr;54(4):270-276. doi: 10.22454/FamMed.2022.526799.

ABSTRACT

BACKGROUND AND OBJECTIVES: Burnout impacts medical students, residents, and practicing physicians. Existing research oversimplifies characteristics associated with burnout. Our study examined relationships between burnout, depressive symptoms, and evidence-based risk factors.

METHODS: Our study questions were part of a larger survey conducted by the Council of Academic Family Medicine Educational Research Alliance (CERA), from May 9-23, 2020. Three emails were used to recruit a national sample of family medicine residents (n=283; questions completed via Survey Monkey). We determined descriptive statistics (frequency, means) for demographic and work environment characteristics, UCLA Loneliness Scale items, health behaviors, burnout (emotional exhaustion, depersonalization), and depressive symptoms. Multivariate data analysis included developing three logistic regression (LR) equations (emotional exhaustion, depersonalization, depressive symptoms) based on four blocks of potential risk factors (demographics, work environment characteristics, UCLA Loneliness items, and health behaviors).

RESULTS: Rates of psychological distress included 33.1% emotional exhaustion, 31.1% depersonalization, and 53.0% depressive symptoms. We determined stepwise forward-entry LR models for emotional exhaustion (feel isolated OR=6.89, low quality of wellness program OR=5.91, and low companionship OR=4.82); depersonalization (feel isolated OR=5.59, low quality of wellness program OR=15.11, graduate US osteopathic medical school OR=0.329, and African American OR=7.55); and depressive symptoms (feel isolated OR=5.31, inadequate time for restful sleep OR=0.383, and no dependent children OR=2.14).

CONCLUSIONS: Current findings document substantial social disconnection, substandard residency wellness programs, inadequate time for exercise, sleep, and other forms of self-care in addition to substantial levels of emotional exhaustion, depersonalization, and depressive symptoms. We explore implications for the design of future burnout prevention efforts and research.

PMID:35421241 | DOI:10.22454/FamMed.2022.526799

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Nevin Manimala Statistics

Differential COVID-19 testing, admissions, and mortality for Arab Americans in Southern California

PLoS One. 2022 Apr 14;17(4):e0267116. doi: 10.1371/journal.pone.0267116. eCollection 2022.

ABSTRACT

BACKGROUND: Understanding of COVID-19 acquisition and severity risk in minoritized groups is limited by data collection on race and ethnicity; very little is known about COVID-19 risk among Arab Americans in the United States.

PURPOSE: To quantify whether Arab Americans in the El Cajon region of California experienced differential levels of SARS-CoV-2 infection, severity and mortality when compared to other racial/ethnic groups.

METHODS: A retrospective study was conducted using Sharp Grossmont Hospital’s electronic medical records. Patients were included in the study if they were: 18 years of age or older, tested for SARS-CoV-2, admitted for COVID-19 infection, or had COVID-19 listed as a cause of death between March 1, 2020 and January 31, 2021. The primary outcomes of interest were a positive COVID-19 test result, admission to the hospital due to COVID-19, and in hospital COVID-19 related mortality. Comparisons were made across racial/ethnic groups using chi-squared statistics and logistic regression models adjusted for sociodemographics, comorbidities, and time from March 2020.

RESULTS: Arab Americans had greater odds of testing positive for SARS-CoV-2 than non-Hispanic White (adjusted odds ratio, AOR: 3.83, 95% confidence interval, CI: 3.29, 4.46) and non-Hispanic Black (AOR: 2.34, 95% CI: 1.91, 2.88) patients but lower odds of admission (AOR: 0.47, 95% CI: 0.36, 0.63) and in-hospital mortality (AOR: 0.43, 95% CI: 0.28, 0.65) than Hispanic patients.

CONCLUSIONS: There were distinct patterns for COVID-19 infection, severity, and mortality for Arab Americans in Southern California. Without a dedicated ethnic identifier, COVID-19 disparities facing Arab Americans will continue to go undocumented.

PMID:35421208 | DOI:10.1371/journal.pone.0267116

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Nevin Manimala Statistics

Effects of Neural Mobilization on Pain Intensity, Disability, and Mechanosensitivity: An Umbrella Review with Meta-Meta-Analysis

Phys Ther. 2022 Apr 11:pzac040. doi: 10.1093/ptj/pzac040. Online ahead of print.

ABSTRACT

OBJECTIVE: The purpose of this study was to assess the current evidence for the effects of neural mobilization (NM) treatments.

METHODS: Three umbrella reviews with meta-meta-analyses (MMAs) were conducted to determine the effects of NM on pain intensity and disability in people with musculoskeletal disorders and on mechanosensitivity in participants who were asymptomatic. The study used the grading criteria proposed by the Physical Activity Guidelines Advisory Committee to assess the quality of evidence.

RESULTS: One MMA revealed a statistically significant moderate effect on pain intensity (standardized mean difference [SMD] = -0.75; 95% CI = -1.12 to -0.38) but with evidence of heterogeneity (Q = 14.13; I2 = 65%). The study found a significantly large effect of NM on disability (SMD = -1.22; 95% CI = -2.19 to -0.26), again with evidence of heterogeneity (Q = 31.57; I2 = 87%). The third MMA showed a statistically significant moderate effect of NM on mechanosensitivity (SMD = 0.96; 95% CI = 0.35 to 1.57), with no evidence of heterogeneity (Q = 2.73; I2 = 63%). For all examined outcomes, the quality of evidence was limited.

CONCLUSIONS: Overall, the results indicated that although NM treatment had a moderate to large beneficial clinical effect on pain intensity and disability in people with musculoskeletal disorders and on mechanosensitivity in individuals who were asymptomatic, the quality of evidence was limited.

IMPACT: Neural mobilization treatments showed positive results on the pain intensity and disability in patients with musculoskeletal conditions. Neural mobilization could be integrated into the physical therapy management, although more research is needed.

PMID:35421227 | DOI:10.1093/ptj/pzac040

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Nevin Manimala Statistics

Estimating the range of incremental cost-effectiveness thresholds for healthcare based on willingness to pay and GDP per capita: A systematic review

PLoS One. 2022 Apr 14;17(4):e0266934. doi: 10.1371/journal.pone.0266934. eCollection 2022.

ABSTRACT

BACKGROUND: Decision-making in healthcare policy involves assessing both costs and benefits. In determining the cost-effectiveness (CE) threshold, willingness to pay (WTP) per quality-adjusted life year (QALY), GDP per capita, and other factors are important. However, the relationship between WTP/QALY or GDP per capita and the CE threshold is unclear. It is important to clarify the relationship between WTP/QALY and GDP to provide a clear basis for setting the CE threshold.

OBJECTIVE: The purpose of this study was to compare WTP/QALY and GDP per capita, and to develop a new CE threshold range based on WTP using GDP per capita. The relationship between WTP/QALY and healthy life expectancy (HALE) was also investigated.

METHODS: We searched MEDLINE, EMBASE and Web of Science from 1980/01/01 to 2020/12/31 using the following selection criteria (latest search: Dec 2021):1, studies that estimated WTP/QALY; 2, the general population was surveyed; 3, the article was in English. From the collected articles, we obtained average values of WTP/QALY for various countries and compared WTP/QALY with GDP per capita. The correlation between WTP/QALY and HALE was also examined.

RESULTS: We identified 20 papers from 17 countries. Comparison of mean WTP/QALY values with GDP per capita showed that most WTP/QALY values were in the range of 0.5-1.5 times GDP per capita, though the median values were less than 0.5 times. Comparison of WTP/QALY with HALE showed a statistically significant positive correlation when Taiwan was excluded as an outlier.

CONCLUSIONS: Our results suggest a CE threshold range of 0.5-1.5 times GDP per capita is appropriate but lower than the WHO-recommended range of 1-3 times. The correlation between WTP/QALY and HALE suggests that investment in healthcare is reflected in an increased healthy life expectancy. Since WTP is based on consumer preferences, this range could be used to set a generally acceptable criterion.

PMID:35421181 | DOI:10.1371/journal.pone.0266934

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Nevin Manimala Statistics

Improved heat coefficients for joint-space metabolic energy expenditure model during level, uphill, and downhill walking

PLoS One. 2022 Apr 14;17(4):e0267120. doi: 10.1371/journal.pone.0267120. eCollection 2022.

ABSTRACT

A previously developed joint-space metabolic energy expenditure (MEE) model includes subject-specific parameters and was validated using level walking gait data. In this work, we determine how well this joint-space model performs during various walking grades (-8%, 0%, and 8%) at 0.8 m·s ⁻1 and 1.3 m·s ⁻1 using published gait data in the literature. In response to those results, we formulate an optimization problem and solve it through the particle swam method plus fmincon function in MATLAB to identify a new optimal weighting parameter set for each grade that produces more accurate predicted MEE and we compare our new findings with seven other MEE models in the literature. The current study matched the measured MEE the best with the lowest RMSE values for level (0.45 J·kg ⁻1·m ⁻1) and downhill (0.82 J·kg ⁻1·m ⁻1) walking and the third lowest RMSE value for uphill (1.56 J·kg ⁻1·m ⁻1) walking, where another MEE model, Looney et al., had the lowest RMSE for uphill (1.27 J·kg ⁻1·m ⁻1) walking. Bland-Altman plots and three independent-samples t-tests show that there was no statistical significant difference between experimentally measured MEE and estimated MEE during the three walking conditions, meaning that the three new optimal weighting parameter sets can be used with 6 degree of freedom (DOF) lower extremity motion data to better estimate whole body MEE in those scenarios. We believe that this work is a step towards identifying a single robust parameter set that allows for accurate estimation of MEE during any task, with the potential to mitigate a limitation of indirect calorimetry requiring lengthy steady state motion.

PMID:35421206 | DOI:10.1371/journal.pone.0267120

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The accuracy of clinician predictions of survival in the Prognosis in Palliative care Study II (PiPS2): A prospective observational study

PLoS One. 2022 Apr 14;17(4):e0267050. doi: 10.1371/journal.pone.0267050. eCollection 2022.

ABSTRACT

BACKGROUND: Prognostic information is important for patients with cancer, their families, and clinicians. In practice, survival predictions are made by clinicians based on their experience, judgement, and intuition. Previous studies have reported that clinicians’ survival predictions are often inaccurate. This study reports a secondary analysis of data from the Prognosis in Palliative care Study II (PiPS2) to assess the accuracy of survival estimates made by doctors and nurses.

METHODS AND FINDINGS: Adult patients (n = 1833) with incurable, locally advanced or metastatic cancer, recently referred to palliative care services (community teams, hospital teams, and inpatient palliative care units) were recruited. Doctors (n = 431) and nurses (n = 777) provided independent prognostic predictions and an agreed multi-professional prediction for each patient. Clinicians provided prognostic estimates in several formats including predictions about length of survival and probability of surviving to certain time points. There was a minimum follow up of three months or until death (whichever was sooner; maximum follow-up 783 days). Agreed multi-professional predictions about whether patients would survive for days, weeks or months+ were accurate on 61.9% of occasions. The positive predictive value of clinicians’ predictions about imminent death (within one week) was 77% for doctors and 79% for nurses. The sensitivity of these predictions was low (37% and 35% respectively). Specific predictions about how many weeks patients would survive were not very accurate but showed good discrimination (patients estimated to survive for shorted periods had worse outcomes). The accuracy of clinicians’ probabilistic predictions (assessed using Brier’s scores) was consistently better than chance, improved with proximity to death and showed good discrimination between groups of patients with different survival outcomes.

CONCLUSIONS: Using a variety of different approaches, this study found that clinicians predictions of survival show good discrimination and accuracy, regardless of whether the predictions are about how long or how likely patients are to survive. Accuracy improves with proximity to death. Although the positive predictive value of estimates of imminent death are relatively high, the sensitivity of such predictions is relatively low. Despite limitations, the clinical prediction of survival should remain the benchmark against which any innovations in prognostication are judged.

STUDY REGISTRATION: ISRCTN13688211. http://www.isrctn.com/ISRCTN13688211.

PMID:35421168 | DOI:10.1371/journal.pone.0267050

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Nevin Manimala Statistics

Risky sexual practice and associated factors among people living with HIV/AIDS receiving antiretroviral therapy in Ethiopia: Systematic review and meta-analysis

PLoS One. 2022 Apr 14;17(4):e0266884. doi: 10.1371/journal.pone.0266884. eCollection 2022.

ABSTRACT

BACKGROUND: The risky sexual behavior of people living with HIV/AIDS (PLWHA) may impose a risk of transmitting the disease to their partners and increase Human Immunodeficiency Virus (HIV) co-infection. This systematic review and meta-analysis aimed to determine the pooled prevalence of risky sexual behavior and associated factors among PLWHA receiving [Antiretroviral Therapy (ART)] in Ethiopia.

METHODS: To identify both published and unpublished research articles, systematic searches were performed in PubMed, HINARI, Medline, Science Direct, and Google Scholar databases. The review was carried out following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guideline. Cross-sectional studies reporting the prevalence of risky sexual practice and its associated factors among PLWHA receiving ART in Ethiopia were included. Two authors independently extracted all necessary data using a standardized data extraction format prepared in Microsoft Excel and exported to STATA version 14 statistical software for further analyses. The Cochrane Q test statistics and I2 test were used to assess the heterogeneity of the studies. Since the included studies exhibited considerable heterogeneity, the random-effects meta-analysis model was computed to estimate the pooled prevalence of risky sexual practice which was determined by dividing the total number of PLWHA with risky sexual practice practices by the total number of PLWHA on ART in the study and multiplied by 100. Furthermore, pooled odds ratio (OR) with 95% confidence interval (CI) was determined for the association between determinant factors and risky sexual practice.

RESULT: In this study, 2351 articles were identified from different databases, and fifteen articles were selected for final systematic review and meta-analysis. In Ethiopia, the pooled prevalence of risky sexual practices was 43.56% (95% confidence interval (CI):35.51, 51.62). Discussion about safe sex with sexual partner/s [AOR = 0.26, 95% CI: 0.08, 0.92] and having multiple sexual partners [AOR = 1.90, 95% CI: 0.53, 6.84] were factors significantly associated with risky sexual practice in Ethiopia.

CONCLUSION: A significant proportion of respondents engaged in risky sexual practices. Multiple sexual partners and a lack of discussion about safe sex are linked to a higher prevalence of the risky sexual practice in Ethiopia. It is critical to raise awareness about safe sexual practices during health education and counselling services and to encourage clients to freely discuss safer sex practices with their sexual partner/s at their antiretroviral therapy (ART) appointments as part of their follow-up care.

PROTOCOL REGISTRATION: The protocol for this systematic review and meta-analysis was registered at PROSPERO (record ID = CRD42021274600, 25 September 2021).

PMID:35421163 | DOI:10.1371/journal.pone.0266884

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Nevin Manimala Statistics

Bayesian interval estimations for the mean of delta-three parameter lognormal distribution with application to heavy rainfall data

PLoS One. 2022 Apr 14;17(4):e0266455. doi: 10.1371/journal.pone.0266455. eCollection 2022.

ABSTRACT

Flash flooding is caused by heavy rainfall that frequently occurs during a tropical storm, and the Thai population has been subjected to this problem for a long time. The key to solving this problem by planning and taking action to protect the population and infrastructure is the motivation behind this study. The average weekly rainfall in northern Thailand during Tropical Storm Wipha are approximated using interval estimations for the mean of a delta-three parameter lognormal distribution. Our proposed methods are Bayesian confidence intervals-based noninformative (NI) priors (equal-tailed and highest posterior density (HPD) intervals based on NI1 and NI2 priors). Our numerical evaluation shows that the HPD-NI1 prior was closer to the nominal confidence level and possessed the narrowest expected length when the variance was small-to-medium for a large threshold. The efficacy of the methods was illustrated by applying them to weekly natural rainfall data in northern Thailand to examine their abilities to indicate flooding occurrence.

PMID:35421161 | DOI:10.1371/journal.pone.0266455