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Nevin Manimala Statistics

Hopelessness as a predictor of loneliness in older adults

Rev Esp Geriatr Gerontol. 2022 Feb 18:S0211-139X(22)00007-5. doi: 10.1016/j.regg.2022.01.002. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVE: Hopelessness is characterized by a set of negative cognitive schemas about the future, conceptualized on the basis of three dimensions: affective, motivational and cognitive. This construct is linked to loneliness, the incidence of which in older adults is increasingly high. The aim of this research is to test whether hopelessness factors predict levels of loneliness in older adults.

MATERIAL AND METHODS: 138 non-institutionalized persons from Valencia city between 65-90 years old participated, with a mean age of 73.67 (SD=4.8), and 59.4% were women. The Beck Hopelessness Scale (BHS) and University of California Los Angeles Loneliness Scale (UCLA) were administered to assess participants.

RESULTS: The motivational and cognitive factors acted as statistically significant predictors of loneliness, while the affective factor was not presented as a significant factor. The final model obtained an R2adj=.442, F(3, 87)=23.97, p<.001.

CONCLUSIONS: Loneliness is a phenomenon of great concern in the field of gerontology due to its high incidence and impact. The results indicate that hopelessness, specifically loss of motivation and negative expectations about the future, are critical issues for the development of feelings of loneliness in older adults. Thus, it is relevant to pay attention to these variables in order to apply loneliness prevention programs.

PMID:35190191 | DOI:10.1016/j.regg.2022.01.002

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Nevin Manimala Statistics

Assessment of a two-school collaborative telepharmacy simulation

Curr Pharm Teach Learn. 2022 Feb;14(2):215-221. doi: 10.1016/j.cptl.2021.11.020. Epub 2021 Dec 28.

ABSTRACT

BACKGROUND AND PURPOSE: The objectives of this study were to implement and assess a telepharmacy simulation for third-year students at two universities.

EDUCATIONAL ACTIVITY AND SETTING: Using telepharmacy, students completed a prescription verification activity and a patient counseling activity. Students completed surveys at baseline and after both activities. Focus groups were conducted after the second activity. Descriptive statistics, Cronbach’s alpha, paired t-tests, and qualitative analysis were used to evaluate data.

FINDINGS: There was a statistically significant increase in students’ perceptions using telepharmacy to deliver patient education before (mean (M) = 2.68, SD = 0.36) to after the experience (M = 2.97, SD = 0.52). A comparison of attitudes toward and intent to provide telepharmacy services found no differences before and after the experience. Following each activity, students felt somewhat to very confident in their abilities to verify a prescription medication and to counsel a patient using telepharmacy. Students demonstrated slight gains in knowledge pre-/post- regarding the use of telepharmacy. Focus group comments referred to the activities as realistic and of value.

SUMMARY: A purposeful telepharmacy simulation impacted students’ perceptions and knowledge on the use of telepharmacy. Students were confident in their abilities to verify and counsel on medications and felt the simulation helped them better understand the pharmacist’s role in telepharmacy. However, students indicated little intent to explore telepharmacy-based opportunities in the future. The results support the development of a more robust simulation and incorporation of didactic content into pharmacy curricula to train students in the use of telepharmacy.

PMID:35190164 | DOI:10.1016/j.cptl.2021.11.020

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Nevin Manimala Statistics

Impact of a third-year post-graduation preparation elective course

Curr Pharm Teach Learn. 2022 Feb;14(2):245-249. doi: 10.1016/j.cptl.2021.11.011. Epub 2021 Dec 27.

ABSTRACT

Background Limited literature is available evaluating retrospective student perceptions of the utility of a postgraduate preparation elective at graduation and career onset and its impact on residency match rates. This project sought to explore the perceived usefulness of a third-year elective course from 2016 to 2019 on post-graduation preparation and to compare the match rate of students enrolled vs. not enrolled in the elective. Impact The majority of students pursuing residency programs (94%) perceived the elective course as helpful in navigating the postgraduate training process. Of the students pursuing other employment, 77.8% found the elective to be helpful in navigating the employment process. The top five activities identified as most useful included: cover letters, letters of intent, and thank you cards overview; curriculum vitae workshop; interviewing tips; mock interviews; and overview of postgraduate training opportunities. The match rate was not statistically different between those who completed the elective (60.7%) vs. all school graduates (64.7%) (P =.70). Recommendations Consideration should be given to the topics to be included in this type of elective course depending on the targeted audience. Additionally, it may be more beneficial to introduce these types of topics and activities to students earlier in their didactic career and integrate them into different parts of the curriculum. Discussion The post-graduation preparation elective course was perceived positively by students in terms of preparing for their postgraduate plans. Limitations and confounders make it difficult to determine the true impact of this type of elective on successful residency match rates.

PMID:35190169 | DOI:10.1016/j.cptl.2021.11.011

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Nevin Manimala Statistics

Perceived stress, academic self-concept, and coping mechanisms among pharmacy students following a curricular revision

Curr Pharm Teach Learn. 2022 Feb;14(2):159-165. doi: 10.1016/j.cptl.2021.11.013. Epub 2021 Dec 24.

ABSTRACT

INTRODUCTION: Pharmacy students experience high levels of perceived stress. Data regarding the impact of curricular revision on students’ stress level are lacking. The primary objective of this study was to compare perceived stress, academic self-concept, and coping strategies between pharmacy students prior to and following a curricular revision. Secondary objectives included determining university resources used by students to deal with stress.

METHODS: Students in the first, second, and third years of the pharmacy curriculum were asked to complete a survey, including the 14-item Perceived Stress Scale (PSS-14), Brief COPE, and Academic Self-Concept Scale (ASCS), and questions regarding use of university resources. Responses to the PSS-14, Brief COPE, and ASCS were compared to a student cohort prior to the curricular revision.

RESULTS: Perceived stress was reduced to a small, statistically significant degree following a curricular revision. In both cohorts, increased stress was statistically significantly correlated with decreased academic self-concept. Students reported increased use of self-distraction, along with decreased use of active coping, substance abuse, and planning, as coping strategies when compared to the previous cohort. Approximately half of the student cohort reported no use of university resources. The most commonly used resources were financial aid and mental health services.

CONCLUSIONS: Perceived stress decreased following the revision of a Doctor of Pharmacy curriculum. The most common coping strategies were positive and comparable with strategies reported by students in the former curriculum. The impact of curricular changes on student stress and the use of university resources in health professions students warrant further study.

PMID:35190157 | DOI:10.1016/j.cptl.2021.11.013

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Nevin Manimala Statistics

Utilization of pharmacists in physician assistant didactic curricula in the United States

Curr Pharm Teach Learn. 2022 Feb;14(2):153-158. doi: 10.1016/j.cptl.2021.11.024. Epub 2021 Dec 27.

ABSTRACT

INTRODUCTION: The primary objective was to describe the percentage of physician assistant (PA) programs who utilize pharmacists to lecture on pharmacology/pharmacotherapeutics content. Secondary objectives were to describe the percentage of pharmacology/pharmacotherapeutics lectures pharmacists deliver, the percentage of programs who employ a full-time pharmacist to coordinate the Pharmacology/Pharmacotherapeutics courses, and the inclusion of pharmacists in other courses in the curricula.

METHODS: This was a prospective, cross-sectional, cohort survey. All PA programs listed on the Accreditation Review Commission on Education for the Physician Assistant (ARC-PA) website with an available email address for the Director of Pre-Clinical Education/Didactic Education, Academic Coordinator, or Chair/Director were recruited for the study. A link to an online survey was distributed to each program. The survey collected data on program characteristics as well as utilization of pharmacists in the curriculum. Descriptive statistics were used for all analyses.

RESULTS: Of the 187 programs receiving the survey, 66 completed the survey (35%). Eighty-three percent of programs reported that pharmacists were utilized to deliver pharmacology/pharmacotherapeutics content. For those programs who utilize pharmacists, 80% reported pharmacists teach more than 75% of the lectures. Twenty-three (35%) programs reported having a full-time pharmacist on faculty to coordinate these courses. Almost half of respondents also commented that pharmacists were involved in other courses in the curriculum.

CONCLUSIONS: More than 80% of programs responding to the survey utilize pharmacists to deliver pharmacology/pharmacotherapeutics content. Studying the utilization of pharmacists and their impact in other health sciences curricula is warranted.

PMID:35190156 | DOI:10.1016/j.cptl.2021.11.024

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Nevin Manimala Statistics

Estimation of the proportion of treatment effect explained by a high-dimensional surrogate

Stat Med. 2022 Feb 21. doi: 10.1002/sim.9352. Online ahead of print.

ABSTRACT

Clinical studies examining the effectiveness of a treatment with respect to some primary outcome often require long-term follow-up of patients and/or costly or burdensome measurements of the primary outcome of interest. Identifying a surrogate marker for the primary outcome of interest may allow one to evaluate a treatment effect with less follow-up time, less cost, or less burden. While much clinical and statistical work has focused on identifying and validating surrogate markers, available approaches tend to focus on settings in which only a single surrogate marker is of interest. Limited work has been done to accommodate the high-dimensional surrogate marker setting where the number of potential surrogates is greater than the sample size. In this article, we develop methods to estimate the proportion of treatment effect explained by high-dimensional surrogates. We study the asymptotic properties of our proposed estimator, propose inference procedures, and examine finite sample performance via a simulation study. We illustrate our proposed methods using data from a randomized study comparing a novel whey-based oral nutrition supplement with a standard supplement with respect to change in body fat percentage over 12 weeks, where the surrogate markers of interest are gene expression probesets.

PMID:35189671 | DOI:10.1002/sim.9352

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Nevin Manimala Statistics

A global systematic review of hepatitis C elimination efforts through micro-elimination

Semin Liver Dis. 2022 Feb 21. doi: 10.1055/a-1777-6112. Online ahead of print.

ABSTRACT

Micro-elimination targets specific sub-populations and/or geographic settings for hepatitis C virus (HCV) elimination. This review reports on global HCV micro-elimination literature published from 2013-2020. Data were extracted from publications to report a score based on the four key components defining micro-elimination. Sustained virologic response (SVR) and treatment initiation proportions were calculated for each manuscript and grouped means of these estimates were compared depending on micro-elimination score and care setting. 83% of the studies were from high-income settings and mainly included people who use drugs or those incarcerated. Among manuscripts, 18 had ‘low’ micro-elimination scores, 11 had ‘high’ scores and the differences in mean proportion who initiated treatment and achieved SVR between low and high score groups were statistically significant. Micro-elimination can be a useful complementary strategy for driving engagement in HCV treatment and cure. Our analysis suggests that adhering to more of the core micro-elimination components can improve outcomes.

PMID:35189667 | DOI:10.1055/a-1777-6112

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Nevin Manimala Statistics

Preliminary Novel Analysis on Antimicrobial Properties of Concentrated Growth Factor against Bacteria-Induced Oral Diseases

Eur J Dent. 2022 Feb 21. doi: 10.1055/s-0041-1742121. Online ahead of print.

ABSTRACT

OBJECTIVE: Concentrated growth factor (CGF) is particularly gaining acceptance and popularity in regenerative dentistry. Nonetheless, there are no available studies showing its effect against microorganisms of oral cavity particularly in chronic oral disease-induced biofilms. This in vitro research was conducted to determine the antimicrobial effects of CGF against Staphylococcus aureus sp. (S. aureus) and Streptococcus mutans sp. (S. mutans).

MATERIALS AND METHODS: Blood samples were obtained from a healthy volunteer. CGF was then prepared using specialized centrifugation equipment (Medifuge, Silfradent, Santa Sofia FC, Italy) and protocol. Antimicrobial activity of the CGF was observed and recorded on standard strains of S. aureus and S. mutans using a well diffusion method to determine the inhibition zone, broth microdilution to determine minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC), and crystal violet assay for biofilm assessment, with chlorhexidine (CHX) 0.12% used as a positive control. Statistical analysis was then performed using one-way analysis of variance followed by Tukey Test post hoc analysis.

RESULTS: It was observed that there was a presence of clear zones of inhibition around the CGF after 24 hours of incubation. The mean diameter of the inhibition zone was 1.26 ± 0.12 nm and 1.20 ± 0.06 nm for S. aureus and S. mutans, respectively, with significance difference (p < 0.05) against the control group CHX 0.12%. The MIC values of the CGF against S. aureus and S. mutans were 47.9% and 34.17%, respectively, and the MBC values of the CGF against S. aureus and S. mutans were 100%. The viability and the ability in inhibiting the biofilm formation of S. mutans and S. aureus following treatment with CGF showed a reduction in the concentration-dependent manner as compared with the control group.

CONCLUSION: CGF possesses antimicrobial and antibiofilm activity against S. aureus and S. mutans.

PMID:35189641 | DOI:10.1055/s-0041-1742121

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Nevin Manimala Statistics

Effect of Various Irrigant Activation Methods and Its Penetration in the Apical Third of Root Canal-In Vitro Study

Eur J Dent. 2022 Feb 21. doi: 10.1055/s-0041-1742122. Online ahead of print.

ABSTRACT

OBJECTIVE: The objective of this study was to evaluate the irrigant penetration using iohexol dye with four irrigation techniques.

METHODOLOGY: Single-rooted premolars were recently extracted and preserved in physiological saline solution. All the samples were standardized to 16 mm. Standard endodontic access was prepared using endoaccess bur (Dentsply Maillefer, Switzerland). The initial patency was established using #10 k file (Mani, Utsunomiya, Tochigi, Japan) to the working length. The cleaning and shaping were performed using the file system ProFit S3 in the following sequence: P0 (orifice enlarger), PF1 (yellow), PF2 (red) #25, and PF3 (blue) #30. The samples were randomly allocated in concealed opaque envelopes into four groups. This was performed by a trained dentist. Fifteen samples were allocated to one group. The groups were divided as follows: Group A-conventional needle (CN), Group B-side-vented needle (SVN), Group C-manual dynamic agitation (MDA), and Group D-EndoActivator (EA). The radiopaque dye irrigant agitation/activation was performed by one operator to prevent operator bias. Following irrigation using the different techniques, digital radiographs were taken, and the measurement was taken from the apical foramen to the point where the dye had penetrated apically for each tooth and the data were entered into an Excel sheet for all the four groups.

RESULTS: Comparing the four groups, there was a statistically significant difference among the four groups (p < 0.05), thus, favoring the alternate hypothesis. EA had resulted in better penetration of the irrigant compared with the other three groups (p < 0.05).

CONCLUSION: It was evident that irrigant penetration was best achieved with the use of an EA followed by MDA, SVNs, and then the CN when the preparation was done till size 30 (PF3 #30) using ProFit S3 rotary file system.

PMID:35189642 | DOI:10.1055/s-0041-1742122

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Nevin Manimala Statistics

Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction

Brief Bioinform. 2022 Feb 21:bbac024. doi: 10.1093/bib/bbac024. Online ahead of print.

ABSTRACT

Protein-protein interactions (PPIs) play a significant role in nearly all cellular and biological activities. Data-driven machine learning models have demonstrated great power in PPIs. However, the design of efficient molecular featurization poses a great challenge for all learning models for PPIs. Here, we propose persistent spectral (PerSpect) based PPI representation and featurization, and PerSpect-based ensemble learning (PerSpect-EL) models for PPI binding affinity prediction, for the first time. In our model, a sequence of Hodge (or combinatorial) Laplacian (HL) matrices at various different scales are generated from a specially designed filtration process. PerSpect attributes, which are statistical and combinatorial properties of spectrum information from these HL matrices, are used as features for PPI characterization. Each PerSpect attribute is input into a 1D convolutional neural network (CNN), and these CNN networks are stacked together in our PerSpect-based ensemble learning models. We systematically test our model on the two most commonly used datasets, i.e. SKEMPI and AB-Bind. It has been found that our model can achieve state-of-the-art results and outperform all existing models to the best of our knowledge.

PMID:35189639 | DOI:10.1093/bib/bbac024