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Nevin Manimala Statistics

Effectiveness of blended learning in pharmacy education: An experimental study using clinical research modules

PLoS One. 2021 Sep 1;16(9):e0256814. doi: 10.1371/journal.pone.0256814. eCollection 2021.

ABSTRACT

BACKGROUND &OBJECTIVES: Though there are studies to evaluate the effectiveness of blended learning in pharmacy education, most of them originate from USA and have used previous year students’ scores as control. Also there is less research in comparing use of self -regulated learning strategies between blended and other learning strategies. Primary aim was to evaluate the effectiveness of blended learning on knowledge score using clinical research modules. Secondary objective was designed to compare the use of self-regulated learning strategies between blended learning, web-based e-learning and didactic teaching.

MATERIALS AND METHODS: A prospective cluster randomized trial was conducted with didactic teaching as control and web-based e-learning and blended learning as interventions. The target population was final year Pharm D students. Outcome was assessed using a validated knowledge questionnaire, a motivated strategies for learning questionnaire and a feedback form. All statistical analyses were carried out using Statistical Package for Social Science (SPSS) Version 20.

RESULTS: A total of 241 students from 12 colleges completed the study. Mean knowledge score of students in blended learning group was higher than those in the didactic teaching and web- based e- learning program (64.26±18.19 Vs 56.65±8.73 Vs 52.11±22.06,p<0.001).Frequency of use of learning strategies namely rehearsal, elaboration, organization and critical thinking was statistically significantly higher in the blended learning group compared to those of didactic and web-based e-learning group (p<0.05) But there were no statistically significant difference of motivational orientations between didactic and blended learning group except strategies of extrinsic goal orientation and self-efficacy. Students preferred blended learning (86.5%) over didactic and web-based e-learning.

CONCLUSION: Blended learning approach is an effective way to teach clinical research module. Students of blended learning group employed all motivational and learning strategies more often than students of the didactic and web- based e-learning groups except strategies of intrinsic goal orientation, task value, control of learning belief and help seeking.

PMID:34469484 | DOI:10.1371/journal.pone.0256814

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Nevin Manimala Statistics

Automatic detection of adult cardiomyocyte for high throughput measurements of calcium and contractility

PLoS One. 2021 Sep 1;16(9):e0256713. doi: 10.1371/journal.pone.0256713. eCollection 2021.

ABSTRACT

Simultaneous calcium and contractility measurements on isolated adult cardiomyocytes have been the gold standard for the last decades to study cardiac (patho)physiology. However, the throughput of this system is low which limits the number of compounds that can be tested per animal. We developed instrumentation and software that can automatically find adult cardiomyocytes. Cells are detected based on the cell boundary using a Sobel-filter to find the edge information in the field of view. Separately, we detected motion by calculating the variance of intensity for each pixel in the frame through time. Additionally, it detects the best region for calcium and contractility measurements. A sensitivity of 0.66 ± 0.08 and a precision of 0.82 ± 0.03 was reached using our cell finding algorithm. The percentage of cells that were found and had good contractility measurements was 90 ± 10%. In addition, the average time between 2 cardiomyocyte calcium and contractility measurements decreased from 93.5 ± 80.2 to 15.6 ± 8.0 seconds using our software and microscope. This drastically increases throughput and provides a higher statistical reliability when performing adult cardiomyocyte functional experiments.

PMID:34469476 | DOI:10.1371/journal.pone.0256713

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Nevin Manimala Statistics

Interpreting COVID-19 deaths among nursing home residents in the US: The changing role of facility quality over time

PLoS One. 2021 Sep 1;16(9):e0256767. doi: 10.1371/journal.pone.0256767. eCollection 2021.

ABSTRACT

A report published last year by the Centers for Medicare & Medicaid Services (CMS) highlighted that COVID-19 case counts are more likely to be high in lower quality nursing homes than in higher quality ones. Since then, multiple studies have examined this association with a handful also exploring the role of facility quality in explaining resident deaths from the virus. Despite this wide interest, no previous study has investigated how the relation between quality and COVID-19 mortality among nursing home residents may have changed, if at all, over the progression of the pandemic. This understanding is indeed lacking given that prior studies are either cross-sectional or are analyses limited to one specific state or region of the country. To address this gap, we analyzed changes in nursing home resident deaths across the US between June 1, 2020 and January 31, 2021 (n = 12,415 nursing homes X 8 months) using both descriptive and multivariable statistics. We merged publicly available data from multiple federal agencies with mortality rate (per 100,000 residents) as the outcome and CMS 5-star quality rating as the primary explanatory variable of interest. Covariates, based on the prior literature, consisted of both facility- and community-level characteristics. Findings from our secondary analysis provide robust evidence of the association between nursing home quality and resident deaths due to the virus diminishing over time. In connection, we discuss plausible reasons, especially duration of staff shortages, that over time might have played a critical role in driving the quality-mortality convergence across nursing homes in the US.

PMID:34469483 | DOI:10.1371/journal.pone.0256767

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Nevin Manimala Statistics

Classifying patients with depressive and anxiety disorders according to symptom network structures: A Gaussian graphical mixture model-based clustering

PLoS One. 2021 Sep 1;16(9):e0256902. doi: 10.1371/journal.pone.0256902. eCollection 2021.

ABSTRACT

Patients with mental disorders often suffer from comorbidity. Transdiagnostic understandings of mental disorders are expected to provide more accurate and detailed descriptions of psychopathology and be helpful in developing efficient treatments. Although conventional clustering techniques, such as latent profile analysis, are useful for the taxonomy of psychopathology, they provide little implications for targeting specific symptoms in each cluster. To overcome these limitations, we introduced Gaussian graphical mixture model (GGMM)-based clustering, a method developed in mathematical statistics to integrate clustering and network statistical approaches. To illustrate the technical details and clinical utility of the analysis, we applied GGMM-based clustering to a Japanese sample of 1,521 patients (Mage = 42.42 years), who had diagnostic labels of major depressive disorder (MDD; n = 406), panic disorder (PD; n = 198), social anxiety disorder (SAD; n = 116), obsessive-compulsive disorder (OCD; n = 66), comorbid MDD and any anxiety disorder (n = 636), or comorbid anxiety disorders (n = 99). As a result, we identified the following four transdiagnostic clusters characterized by i) strong OCD and PD symptoms, and moderate MDD and SAD symptoms; ii) moderate MDD, PD, and SAD symptoms, and weak OCD symptoms; iii) weak symptoms of all four disorders; and iv) strong symptoms of all four disorders. Simultaneously, a covariance symptom network within each cluster was visualized. The discussion highlighted that the GGMM-based clusters help us generate clinical hypotheses for transdiagnostic clusters by enabling further investigations of each symptom network, such as the calculation of centrality indexes.

PMID:34469469 | DOI:10.1371/journal.pone.0256902

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Nevin Manimala Statistics

Identification of pollen taxa by different microscopy techniques

PLoS One. 2021 Sep 1;16(9):e0256808. doi: 10.1371/journal.pone.0256808. eCollection 2021.

ABSTRACT

Melissopalynology is an important analytical method to identify botanical origin of honey. Pollen grain recognition is commonly performed by visual inspection by a trained person. An alternative method for visual inspection is automated pollen analysis based on the image analysis technique. Image analysis transfers visual information to mathematical descriptions. In this work, the suitability of three microscopic techniques for automatic analysis of pollen grains was studied. 2D and 3D morphological characteristics, textural and colour features, and extended depth of focus characteristics were used for the pollen discrimination. In this study, 7 botanical taxa and a total of 2482 pollen grains were evaluated. The highest correct classification rate of 93.05% was achieved using the phase contrast microscopy, followed by the dark field microscopy reaching 91.02%, and finally by the light field microscopy reaching 88.88%. The most significant discriminant characteristics were morphological (2D and 3D) and colour characteristics. Our results confirm the potential of using automatic pollen analysis to discriminate pollen taxa in honey. This work provides the basis for further research where the taxa dataset will be increased, and new descriptors will be studied.

PMID:34469471 | DOI:10.1371/journal.pone.0256808

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Nevin Manimala Statistics

Vocal correlates of arousal in bottlenose dolphins (Tursiops spp.) in human care

PLoS One. 2021 Sep 1;16(9):e0250913. doi: 10.1371/journal.pone.0250913. eCollection 2021.

ABSTRACT

Human-controlled regimes can entrain behavioural responses and may impact animal welfare. Therefore, understanding the influence of schedules on animal behaviour can be a valuable tool to improve welfare, however information on behaviour overnight and in the absence of husbandry staff remains rare. Bottlenose dolphins (Tursiops spp.) are highly social marine mammals and the most common cetacean found in captivity. They communicate using frequency modulated signature whistles, a whistle type that is individually distinctive and used as a contact call. We investigated the vocalisations of ten dolphins housed in three social groups at uShaka Sea World dolphinarium to determine how patterns in acoustic behaviour link to dolphinarium routines. Investigation focused on overnight behaviour, housing decisions, weekly patterns, and transitional periods between the presence and absence of husbandry staff. Recordings were made from 17h00 – 07h00 over 24 nights, spanning May to August 2018. Whistle (including signature whistle) presence and production rate decreased soon after husbandry staff left the facility, was low over night, and increased upon staff arrival. Results indicated elevated arousal states particularly associated with the morning feeding regime. Housing in the pool configuration that allowed observation of staff activities from all social groups was characterised by an increase in whistle presence and rates. Heightened arousal associated with staff presence was reflected in the structural characteristics of signature whistles, particularly maximum frequency, frequency range and number of whistle loops. We identified individual differences in both production rate and the structural modification of signature whistles under different contexts. Overall, these results revealed a link between scheduled activity and associated behavioural responses, which can be used as a baseline for future welfare monitoring where changes from normal behaviour may reflect shifts in welfare state.

PMID:34469449 | DOI:10.1371/journal.pone.0250913

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Nevin Manimala Statistics

Incidence of stroke in the first year after diagnosis of cancer-A protocol for systematic review and meta-analysis

PLoS One. 2021 Sep 1;16(9):e0256825. doi: 10.1371/journal.pone.0256825. eCollection 2021.

ABSTRACT

INTRODUCTION: There is an increased risk of stroke in patients with cancer-this risk is particularly heightened around the time of cancer diagnosis, although no studies have systematically quantified this risk in the literature. Patients newly diagnosed with cancer without prior stroke represent a highly susceptible population in whom there is a window of opportunity to study and implement primary prevention strategies. Therefore, the objective of this systematic review and meta-analysis is to identify the cumulative incidence of ischemic and hemorrhagic strokes during the first year after a diagnosis of cancer.

METHODS AND ANALYSIS: MEDLINE, EMBASE, and PubMed will be searched with the assistance from a medical information specialist, from 1980 until present. Eligible studies will include observational studies that have enrolled adult patients newly diagnosed with cancer and report outcomes of stroke during the first year of cancer diagnosis. We will exclude all randomized and non-randomized interventional studies. Data on participant characteristics, study design, baseline characteristics, and outcome characteristics will be extracted. Study quality will be assessed using the Newcastle-Ottawa Scale for cohort studies, and heterogeneity will be assessed using the I2 statistic. Pooled cumulative incidence will be calculated for ischemic and hemorrhagic strokes separately using a random-effects model.

ETHICS AND DISSEMINATION: No formal research ethics approval is necessary as primary data collection will not be done. We will disseminate our findings through scientific conference presentations, peer-reviewed publications, and social media/the press. The findings from this review will inform clinicians and patients regarding the risk of stroke in patients newly diagnosed with cancer by quantifying the cumulative incidence of each subtype of stroke during the first year after a diagnosis of cancer. This represents a window of opportunity to implement prevention strategies in a susceptible population.

REGISTRATION ID WITH OPEN SCIENCE FRAMEWORK: osf.io/ucwy9.

PMID:34469458 | DOI:10.1371/journal.pone.0256825

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Nevin Manimala Statistics

Measuring the accuracy of gridded human population density surfaces: A case study in Bioko Island, Equatorial Guinea

PLoS One. 2021 Sep 1;16(9):e0248646. doi: 10.1371/journal.pone.0248646. eCollection 2021.

ABSTRACT

BACKGROUND: Geospatial datasets of population are becoming more common in models used for health policy. Publicly-available maps of human population make a consistent picture from inconsistent census data, and the techniques they use to impute data makes each population map unique. Each mapping model explains its methods, but it can be difficult to know which map is appropriate for which policy work. High quality census datasets, where available, are a unique opportunity to characterize maps by comparing them with truth.

METHODS: We use census data from a bed-net mass-distribution campaign on Bioko Island, Equatorial Guinea, conducted by the Bioko Island Malaria Elimination Program as a gold standard to evaluate LandScan (LS), WorldPop Constrained (WP-C) and WorldPop Unconstrained (WP-U), Gridded Population of the World (GPW), and the High-Resolution Settlement Layer (HRSL). Each layer is compared to the gold-standard using statistical measures to evaluate distribution, error, and bias. We investigated how map choice affects burden estimates from a malaria prevalence model.

RESULTS: Specific population layers were able to match the gold-standard distribution at different population densities. LandScan was able to most accurately capture highly urban distribution, HRSL and WP-C matched best at all other lower population densities. GPW and WP-U performed poorly everywhere. Correctly capturing empty pixels is key, and smaller pixel sizes (100 m vs 1 km) improve this. Normalizing areas based on known district populations increased performance. The use of differing population layers in a malaria model showed a disparity in results around transition points between endemicity levels.

DISCUSSION: The metrics in this paper, some of them novel in this context, characterize how these population maps differ from the gold standard census and from each other. We show that the metrics help understand the performance of a population map within a malaria model. The closest match to the census data would combine LandScan within urban areas and the HRSL for rural areas. Researchers should prefer particular maps if health calculations have a strong dependency on knowing where people are not, or if it is important to categorize variation in density within a city.

PMID:34469444 | DOI:10.1371/journal.pone.0248646

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Nevin Manimala Statistics

Characterization of Heat Exposure-Associated Escape Behaviors and HSP Gene Expression in Bed Bugs (Cimex lectularius L.)

Pest Manag Sci. 2021 Sep 1. doi: 10.1002/ps.6620. Online ahead of print.

ABSTRACT

BACKGROUND: Heat can be effective for bed bug elimination. However, in some cases bed bugs survive heat treatments. The objectives of this study were to determine the behavioral responses of bed bugs to rising harborage temperatures (23.0-49.0°C) and identify which heat shock protein (HSP) genes are expressed after heat exposure. First, a custom-made copper arena and harborage were used to determine the escape behaviors of six bed bug populations. Next, HSP gene expression responses of select populations were determined after heat exposure using real time quantitative polymerase chain reaction (RT-qPCR).

RESULTS: Analysis of the 25min behavioral experiment data found that harborage top temperatures associated with 25, 50 and 75% probabilities of bed bugs to flee the harborage did not differ significantly between populations. Also, the percentage of insects that escaped from heated areas and survived (4.0 &c.lstrov; 12.0%) was not different between populations. However, when specific temperatures at which successful escapes occurred were statistically compared, the Poultry House population was found to flee the harborage at statistically higher temperatures (43.6±0.5°C) than others (40.5±0.6-42.0±0.7°C). The RT-qPCR experiments revealed that the HSP70.1, HSP70.3, and Putative Small HSP genes were significantly upregulated 15min, 2h, and 4h post heat-exposure and decreased back to baseline levels by 24h.

CONCLUSIONS: This study shows that when harborage top temperatures approach 40.0-43.0°C, bed bugs will disperse in search for cooler areas. This work implicates the HSP70.1, HSP70.3, and Putative Small HSP genes in heat induced stress recovery of bed bugs. This article is protected by copyright. All rights reserved.

PMID:34468070 | DOI:10.1002/ps.6620

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Nevin Manimala Statistics

Functioning profiles of individuals with Mucopolysaccharidosis according to the International Classification of Functioning

Eur J Phys Rehabil Med. 2021 Sep 1. doi: 10.23736/S1973-9087.21.06881-7. Online ahead of print.

ABSTRACT

BACKGROUND: The classification of health problems of persons with Mucopolysaccharidosis (MPS) based on the International Classification of Functioning, Disability and Health (ICF) may contribute to better understanding the disease impacts. The ICF is a useful tool to describe disabilities and functioning, especially in diseases with multisystemic involvement.

AIM: To identify and classify the health needs of persons with non-neuronopathic MPS according to the ICF.

DESIGN: A cross-sectional study.

SETTING: Department of Physical Therapy (Federal University, Brazil).

POPULATION: Persons with non-neuronopathic MPS.

METHODS: Semi-structured interviews covering all components of the ICF were conducted to know the patients’ perspectives of their health problems (patient-reported outcomes). The speeches were transcribed verbatim and analyzed by researchers to identifying meaningful concepts. Then, the concept units were linked to ICF components and the magnitude of the problem to ICF qualifiers. Data are shown by descriptive statistics and separated into two groups: children and adolescents, and adults.

RESULTS: A total of 60 different ICF categories were used to classify participants’ functioning. A total of 28 and 51 categories was necessary to classify the health problems of children and adults, respectively. Additionally, 16 categories related to contextual factors were used, of which eight and 12 were identified as facilitators by children, adolescents, and adults, respectively. The main problems were related to supportive functioning of arms or legs (b7603), pain in the body part (b2801), respiratory functions (b440), and voice functions (b310). Limitations in the activity and participation component were related to walking (d450), fine hand use (d440), washing oneself (d510), and dressing (d540). Recreation and leisure (d920) was restricted to approximately half of the studied population.

CONCLUSIONS: People with MPS face impairments of body structures and functions, activity limitations and restrictions to participation. Environmental factors may be act as facilitators of these problems.

CLINICAL REHABILITATION IMPACT: The ICF is a useful tool to classify the health problems of people with non-neuropathic MPS. The planning of rehabilitation programs needs to covers all components of functioning to provide a biopsychosocial model of care. The ICF categories may direct health professionals to more effective targets.

PMID:34468112 | DOI:10.23736/S1973-9087.21.06881-7