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Nevin Manimala Statistics

Knowledge, attitude and practice of vaccinators and vaccine handlers on vaccine cold chain management in public health facilities, Ethiopia: Cross-sectional study

PLoS One. 2021 Feb 25;16(2):e0247459. doi: 10.1371/journal.pone.0247459. eCollection 2021.

ABSTRACT

BACKGROUND: Effective management of the vaccine cold chain system at all levels is one of the crucial factors for maintaining vaccine potency. Vaccines require more complex handling and storage requirements due to increased temperature sensitivity and complicated immunization schedules. This urges adequate knowledge, attitude, and practice. This study assessed the knowledge, attitude, and practice of vaccinators and vaccine handlers’ in public health facilities.

METHODOLOGY: An institutional-based cross-sectional study design was used to assess the knowledge, attitude, and practice of 127 vaccinators and vaccine handlers in public health facilities of Oromia Special Zone, from September 1 to 30, 2019. Data were collected using self-administered questionnaires and a structured observation checklist. Descriptive and inferential statistics were made using the statistical package for social sciences version 20. Variables with a p-value <0.05 were taken as statistically significant.

RESULT: The response rate was (96.94%). Sixty-eight (53.5%; 95% CI: 46.5%, 61.4%), 58 (45.7%; 95% CI: 37.8%, 53.5%) and 62 (48.8%: 95% CI; 41.7%, 56.7%) vaccinators and vaccine handlers had satisfactory knowledge, positive attitude and good practice respectively. Receiving training on cold chain management had a statistically significant association with the level of knowledge on cold chain management (AOR = 3.04, 95% CI: 1.04-8.88).

CONCLUSIONS: More than half of vaccinators and vaccine handlers had satisfactory knowledge, while below half of vaccinators and vaccine handlers had a positive attitude and good practice. The determinants of knowledge in cold chain management were receiving training on cold chain management. Providing regular technical support and on the job training on vaccine cold chain management will improve the knowledge, attitude, and practice of vaccinators and vaccine handlers.

PMID:33630946 | DOI:10.1371/journal.pone.0247459

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Nevin Manimala Statistics

Height in Adolescence as a Risk Factor for Glioma Subtypes: a Nationwide Retrospective Cohort Study of 2.2 Million Subjects

Neuro Oncol. 2021 Feb 25:noab049. doi: 10.1093/neuonc/noab049. Online ahead of print.

ABSTRACT

BACKGROUND: Gliomas manifest in a variety of histological phenotypes with varying aggressiveness. The etiology of glioma remains largely unknown. Taller stature in adulthood has been linked with glioma risk. The aim of this study was to discern whether this association can be detected in adolescence.

METHODS: The cohort included 2,223,168 adolescents between the ages of 16-19. Anthropometric measurements were collected at baseline. Incident cases of glioma were extracted from the Israel National Cancer Registry over a follow-up period spanning 47,635,745 person-years. Cox proportional hazard models were used to estimate the hazard ratio for glioma and glioma subtypes according to height, body mass index (BMI) and sex.

RESULTS: 1,195 patients were diagnosed with glioma during the study period. Mean(SD) age at diagnosis was 38.1 (11.7) years. Taller adolescent height (per 10cm increase) was positively associated with the risk for glioma of any type (HR 1.15; p=0.002). The association was retained in subgroup analyses for low-grade glioma (HR 1.17; p=0.031), high-grade glioma (HR 1.15; p=0.025), oligodendroglioma (HR 1.31; p=0.015), astrocytoma (HR 1.12; p=0.049), and a category of presumed IDH-mutated glioma (HR 1.17; p=0.013). There was a trend towards a positive association between height and glioblastoma, however this had borderline statistical significance (HR: 1.15; p=0.07). After stratification of the cohort by sex, height remained a risk factor for men, but not for women.

CONCLUSIONS: The previously – established association between taller stature in adulthood and glioma risk can be traced back to adolescence. The magnitude of association differs by glioma subtype.

PMID:33631004 | DOI:10.1093/neuonc/noab049

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Nevin Manimala Statistics

How does the use of flavored nicotine vaping products relate to progression towards quitting smoking? Findings from the 2016 and 2018 ITC 4CV Surveys

Nicotine Tob Res. 2021 Feb 25:ntab033. doi: 10.1093/ntr/ntab033. Online ahead of print.

ABSTRACT

INTRODUCTION: There is limited research on the role of flavors in nicotine vaping products (NVPs) in relation to smoking. We examined patterns of flavor use in NVPs in relation to progression towards quitting.

METHODS: Data come from 886 concurrent users of NVPs (at least weekly) and cigarettes who were first surveyed in 2016 and then successfully recontacted in 2018 as part of the ITC 4CV Surveys conducted in Australia, Canada, England and the United States. Participants were asked about their main vaping flavor categorized as: 1) tobacco or unflavored, 2) menthol/mint flavored, and 3) “sweet” flavors (e.g., fruit/candy). We examined whether flavor was associated with progression towards quitting smoking between survey years.

RESULTS: Overall, 11.1% of baseline concurrent users quit smoking by 2018. Compared to users of tobacco flavors, those vaping “sweet” flavors were more likely to quit smoking between surveys (13.8% vs. 9.6%; adjusted OR=1.61, 95% CI 1.01-2.58, p<0.05), but those using menthol flavors were no more likely to quit smoking (8.3% vs. 9.6%, aOR=0.87, 95% CI 0.43-1.47, p=0.69). Among those who had quit smoking in 2018, 52.0% were still vaping, which was lower than the 65.8% among continuing smokers (aOR=0.60, 95% CI 0.39-0.92, p=0.02). Sweet flavor users were no more likely to continue vaping compared to tobacco flavor users, either for those continuing smoking or those having quit smoking by 2018. There was a net shift away from tobacco flavor among those who continued to vape at follow-up.

CONCLUSIONS: Use of fruit and other sweet flavored e-liquids is positively related to smokers’ transition away from cigarettes.

IMPLICATIONS: With multiple jurisdictions considering limiting or banning the sale of flavored NVPs, it is important to consider how such policies may impact smokers using NVPs to transition away from cigarette smoking. Our results indicate that vapers who used sweet flavors were more likely to transition away from cigarette smoking and quit cigarette use, at least in the short term, compared to those who used tobacco or unflavored NVPs. Randomized clinical trials are needed to establish if the observed association between use of flavored e-liquids and smoking cessation is due to self-selection or is truly causal.

PMID:33631007 | DOI:10.1093/ntr/ntab033

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Nevin Manimala Statistics

A multi-omic investigation of male lower urinary tract symptoms: Potential role for JC virus

PLoS One. 2021 Feb 25;16(2):e0246266. doi: 10.1371/journal.pone.0246266. eCollection 2021.

ABSTRACT

Male lower urinary tract symptoms (LUTS) comprise a common syndrome of aging that negatively impacts quality of life. The etiology of LUTS is multifactorial, involving benign prostatic hyperplasia, smooth muscle and neurologic dysfunction, inflammation, sexually transmitted infections, fibrosis, and potentially dysbiosis, but this aspect remains poorly explored. We investigated whether the presence of infectious agents in urine might be associated with LUTS by combining next-generation DNA sequencing for virus discovery, microbiome analysis for characterization of bacterial communities, and mass spectrometry-based metabolomics. In urine from 29 LUTS cases and 9 controls from Wisconsin, we found a statistically significant association between a diagnosis of LUTS and the presence of JC virus (JCV), a common neurotropic human polyomavirus (Polyomaviridae, Betapolyomavirus) linked to severe neurologic disease in rare cases. This association (based on metagenomics) was not borne out when specific polymerase chain reaction (PCR) testing was applied to this set of samples, likely due to the greater sensitivity of PCR. Interestingly, urine metabolomics analysis identified dysregulation of metabolites associated with key LUTS processes. Microbiome analysis found no evidence of microbial community dysbiosis in LUTS cases, but JCV-positive samples contained more Anaerococcus species, which are involved in polymicrobial infections of the urinary tract. Neither age nor body mass index were significantly associated with the presence of urinary JCV-in the initial group or in an additional, regionally distinct group. These data provide preliminary support the hypothesis that viruses such as JCV may play a role in the development or progression of LUTS, together with other infectious agents and host metabolic responses.

PMID:33630889 | DOI:10.1371/journal.pone.0246266

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Nevin Manimala Statistics

Comparing different types of statins for secondary prevention of cardio-cerebrovascular disease from a national cohort study

PLoS One. 2021 Feb 25;16(2):e0247419. doi: 10.1371/journal.pone.0247419. eCollection 2021.

ABSTRACT

Statins have been recommended for use in atherosclerotic cardio-cerebrovascular disease (CCVD). The purpose of this study was to investigate the efficacy of five different types of statin in the secondary prevention of CCVD in patients. This study retrospectively designed and analyzed data from the National Health Insurance Service-National Health in Korea. Participants aged 40 to 69 years were categorized into five statin groups (atorvastatin, rosuvastatin, pitavastatin, simvastatin, and pravastatin). The primary composite outcome was defined as recurrence of CCVD or all causes of death. Cox proportional hazard regression models were adopted after stepwise adjustments for confounders to investigate the difference in efficacy among the different statins. Of the 755 final participants, 48 patients experienced primary composite outcomes. After adjustments, the hazard ratios (95% confidence intervals) for primary composite outcomes of atorvastatin, pitavastatin, and rosuvastatin groups were 0.956 (0.456-2.005), 1.347 (0.354-5.116), and 0.943 (0.317-2.803), respectively, when compared with the simvastatin group. There were no significant differences between the statins in efficacy for preventing recurrence of CCVD events and/or death in CCVD patients.

PMID:33630898 | DOI:10.1371/journal.pone.0247419

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Nevin Manimala Statistics

Cancer cluster among small village residents near the fertilizer plant in Korea

PLoS One. 2021 Feb 25;16(2):e0247661. doi: 10.1371/journal.pone.0247661. eCollection 2021.

ABSTRACT

OBJECTIVES: In Jang-jeom, a small village in Hamra-myeon, Iksan-si, Jeollabuk-do, South Korea, residents raised concerns about a suspected cancer cluster that they attributed to a fertilizer plant near the village. We aimed to investigate whether the cancer incidence in the village was higher than that in the general Korean population when the factory was in operation (2001-2017) and whether living in the village was associated with a higher risk of cancer.

METHODS: Using national population data and cancer registration data of South Korea, we estimated the standardized incidence ratios (SIRs) in the village to investigate whether more cancer cases occurred in the village compared to other regions. The SIRs were standardized by age groups of 5 years and sex. In order to investigate whether residence in the village increased the risk of cancer, a retrospective cohort was constructed using National Health Insurance Service (NHIS) databases. We estimated the cancer hazard ratios (HRs) using the Cox proportional hazard model, and defined the exposed area as the village of Jang-jeom, and the unexposed or control area as the village neighborhood in Hamra-myeon. We considered potential confounding variables such as age, sex, and income index in the models. Additionally, we measured polycyclic aromatic hydrocarbons (PAHs) and tobacco-specific nitrosamines (TSNAs), suspected carcinogens that may have caused the cancer cluster, in samples collected from the plant and the village.

RESULTS: Twenty-three cancer cases occurred in Jang-jeom from 2001 to 2017. Between 2010 and 2016, the incidence rates of all cancers (SIR: 2.05, except thyroid cancer: 2.22), non-melanoma skin cancer (SIR: 21.14, female: 25.41), and gallbladder (GB) and biliary tract cancer in men (SIR: 16.01) in the village were higher than those in the national population in a way that was statistically significant. In our cohort analysis that included only Hamra-myeon residents who have lived there for more than 7 years, we found a statistically significant increase in the risk of all cancers (HR: 1.99, except thyroid cancer: 2.20), non-melanoma skin cancer (HR: 11.60), GB and biliary tract cancer (HR: 15.24), liver cancer (HR: 6.63), and gastric cancer (HR: 3.29) for Jang-jeom residents compared to other Hamra area residents. We identified PAHs and TSNAs in samples of deposited dust and residual fertilizer from the plant and TSNAs in dust samples from village houses.

CONCLUSIONS: The results of the SIR calculation and cancer risk analyses of Jang-jeom village residents from the retrospective cohort design showed consistency in the effect size and direction, suggesting that there was a cancer cluster in Jang-jeom. This study would be a good precedent for cancer cluster investigation.

PMID:33630917 | DOI:10.1371/journal.pone.0247661

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Nevin Manimala Statistics

Time spent by hospital personnel on drug changes: A time and motion study from an in-and outpatient hospital setting

PLoS One. 2021 Feb 25;16(2):e0247499. doi: 10.1371/journal.pone.0247499. eCollection 2021.

ABSTRACT

INTRODUCTION: Medicines used at Danish public hospitals are purchased through tendering. Together with drug shortage, tendering result in drug changes, known to compromise patient safety, increase medicine errors and to be resource demanding for healthcare personnel. Details on actual resources required in the clinic setting to manage drug changes are unknown. The aim of the study is to explore time spend by hospital personnel in a drug change situation when dispensing medicine to in- and outpatients in a hospital setting in the Capital Region of Denmark.

METHOD: A time and motion study, using direct observation combined with time-registration tools, such as eye-tracking, video recording and manual time tracking. Data were obtained from observing nurses and social and health care assistants with dispensing authority while dispensing or extraditing medicine before and after the implementation of drug changes in two clinical setting; a cardiology ward and a rheumatology outpatient clinic.

RESULTS: Hospital personnel at the cardiology inpatient ward spent 20.5 seconds on dispensing a drug, which was increased up to 28.4 seconds by drug changes. At the rheumatology outpatient clinic, time to extradite medicine increased from 8 minutes and 6 seconds to 15 minutes and 36 seconds by drug changes due to tender. Similarly, drug changes due to drug shortage prolonged the extradition time to 16 minutes and 54 seconds. Statistical analysis reveal that drug changes impose a significant increase in time to dispense a drug for both in- and outpatients.

CONCLUSION: Clinical hospital personnel spent significantly longer time on drug change situations in the dispensing of medicine to in- and outpatients in a hospitals. This study emphasizes that implementing drug changes do require extra time, thus, the hospital management should encounter this and ensure that additional time is available for the hospital personnel to ensure a safe drug dispensing process.

PMID:33630933 | DOI:10.1371/journal.pone.0247499

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Nevin Manimala Statistics

Multi-criteria decision making in robotic agri-farming with q-rung orthopair m-polar fuzzy sets

PLoS One. 2021 Feb 25;16(2):e0246485. doi: 10.1371/journal.pone.0246485. eCollection 2021.

ABSTRACT

q-Rung orthopair fuzzy set (qROFS) and m-polar fuzzy set (mPFS) are rudimentary concepts in the computational intelligence, which have diverse applications in fuzzy modeling and decision making under uncertainty. The aim of this paper is to introduce the hybrid concept of q-rung orthopair m-polar fuzzy set (qROmPFS) as a hybrid model of q-rung orthopair fuzzy set and m-polar fuzzy set. A qROmPFS has the ability to deal with real life situations when decision experts are interested to deal with multi-polarity as well as membership and non-membership grades to the alternatives in an extended domain with q-ROF environment. Certain operations on qROmPFSs and several new notions like support, core, height, concentration, dilation, α-cut and (α, β)-cut of qROmPFS are defined. Additionally, grey relational analysis (GRA) and choice value method (CVM) are presented under qROmPFSs for multi-criteria decision making (MCDM) in robotic agri-farming. The proposed methods are suitable to find out an appropriate mode of farming among several kinds of agri-farming. The applications of proposed MCDM approaches are illustrated by respective numerical examples. To justify the feasibility, superiority and reliability of proposed techniques, the comparison analysis of the final ranking in the robotic agri-farming computed by the proposed techniques with some existing MCDM methods is also given.

PMID:33630877 | DOI:10.1371/journal.pone.0246485

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Nevin Manimala Statistics

The cost-effectiveness of prostate cancer screening using the Stockholm3 test

PLoS One. 2021 Feb 25;16(2):e0246674. doi: 10.1371/journal.pone.0246674. eCollection 2021.

ABSTRACT

OBJECTIVES: The European Randomized Study of Screening for Prostate Cancer found that prostate-specific antigen (PSA) screening reduced prostate cancer mortality, however the costs and harms from screening may outweigh any mortality reduction. Compared with screening using the PSA test alone, using the Stockholm3 Model (S3M) as a reflex test for PSA ≥ 1 ng/mL has the same sensitivity for Gleason score ≥ 7 cancers while the relative positive fractions for Gleason score 6 cancers and no cancer were 0.83 and 0.56, respectively. The cost-effectiveness of the S3M test has not previously been assessed.

METHODS: We undertook a cost-effectiveness analysis from a lifetime societal perspective. Using a microsimulation model, we simulated for: (i) no prostate cancer screening; (ii) screening using the PSA test; and (iii) screening using the S3M test as a reflex test for PSA values ≥ 1, 1.5 and 2 ng/mL. Screening strategies included quadrennial re-testing for ages 55-69 years performed by a general practitioner. Discounted costs, quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs) were calculated.

RESULTS: Comparing S3M with a reflex threshold of 2 ng/mL with screening using the PSA test, S3M had increased effectiveness, reduced lifetime biopsies by 30%, and increased societal costs by 0.4%. Relative to the PSA test, the S3M reflex thresholds of 1, 1.5 and 2 ng/mL had ICERs of 170,000, 60,000 and 6,000 EUR/QALY, respectively. The S3M test was more cost-effective at higher biopsy costs.

CONCLUSIONS: Prostate cancer screening using the S3M test for men with an initial PSA ≥ 2.0 ng/mL was cost-effective compared with screening using the PSA test alone.

PMID:33630863 | DOI:10.1371/journal.pone.0246674

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Nevin Manimala Statistics

Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning

PLoS One. 2021 Feb 25;16(2):e0246790. doi: 10.1371/journal.pone.0246790. eCollection 2021.

ABSTRACT

Falling in Parkinsonian syndromes (PS) is associated with postural instability and consists a common cause of disability among PS patients. Current posturographic practices record the body’s center-of-pressure displacement (statokinesigram) while the patient stands on a force platform. Statokinesigrams, after appropriate processing, can offer numerous posturographic features. This fact, although beneficial, challenges the efforts for valid statistics via standard univariate approaches. In this work, 123 PS patients were classified into fallers (PSF) or non-faller (PSNF) based on the clinical assessment, and underwent simple Romberg Test (eyes open/eyes closed). We developed a non-parametric multivariate two-sample test (ts-AUC) based on machine learning, in order to examine statokinesigrams’ differences between PSF and PSNF. We analyzed posturographic features using both multiple testing with p-value adjustment and ts-AUC. While ts-AUC showed significant difference between groups (p-value = 0.01), multiple testing did not agree with this result (eyes open). PSF showed significantly increased antero-posterior movements as well as increased posturographic area compared to PSNF. Our study highlights the superiority of ts-AUC compared to standard statistical tools in distinguishing PSF and PSNF in multidimensional space. Machine learning-based statistical tests can be seen as a natural extension of classical statistics and should be considered, especially when dealing with multifactorial assessments.

PMID:33630865 | DOI:10.1371/journal.pone.0246790