Category: Statistics

Am J Ind Med. 2022 Jun 7. doi: 10.1002/ajim.23399. Online ahead of print.

ABSTRACT

BACKGROUND: Suicide is among the top 10 causes of premature death in the United States. This study provides details on farmer and rancher suicide decedents, including demographic information, mental health status, history of suicidal thoughts and attempts, and circumstances associated with death.

METHODS: Data for this study were obtained from the Centers for Disease Control and Prevention’s National Violent Death Reporting System Restricted Access Database for the years 2003-2018. Descriptive statistics and adjusted odds ratios are presented for farm and nonfarm populations in addition to farm populations by age groups and sex.

RESULTS: This study found that almost half of the farmer suicide decedents were over 65 years old. Firearms were the most widely used method for farmers and ranchers regardless of age and sex. Young farmers and ranchers that died by suicide were more likely to have had relationship problems and older farmers and ranchers that died by suicides were more likely to have had a physical health problem. Male farmer and rancher suicide decedents were more likely to die by firearm than females, and female farmer and rancher suicide decedents were likely to have resided in a small metropolitan area, however, due to small numbers and suppression in the data, most sex comparisons were not able to be presented.

CONCLUSIONS: While no clear risk factor for suicide among farmers and ranchers emerged, results underscore the complex nature of suicide and the need for multifaceted, culturally competent interventions and campaigns that address suicide risk and prevention at the individual and community levels.

PMID:35671362 | DOI:10.1002/ajim.23399

Nurs Forum. 2022 Jun 7. doi: 10.1111/nuf.12760. Online ahead of print.

ABSTRACT

BACKGROUND: Interpretive pedagogy with simulation encourages students to consider multiple perspectives contextually leading students to think deeper in a shared learning environment.

PROBLEM: Clinical sites were lacking in a senior nursing leadership and management course and necessitated the adaptation of traditional clinical teaching methodologies.

APPROACH: Low-fidelity simulation was used as an active learning strategy to fulfill clinical hours.

OUTCOMES: Comparing student groups’ pretest mean scores were not significant (p = .610; 95% confidence interval [CI] [-0.95, 0.12]). Comparatively, the student groups’ posttest scores ranging between 87% and 90%, respectively, were also not statistical significance (p = .136, 95% CI [-0.95, 0.12]).

CONCLUSION: Students were positive about their experience. They appreciated the opportunity to practice what they learned in the classroom in a safe environment. As a result, simulation in a senior nursing leadership course can be successfully used as an alternative to traditional clinical experiences and fulfill clinical hour requirements.

PMID:35671354 | DOI:10.1111/nuf.12760

PLoS One. 2022 Jun 7;17(6):e0269574. doi: 10.1371/journal.pone.0269574. eCollection 2022.

ABSTRACT

BACKGROUND: Risk communication and community engagement are among the key strategies used in response to pandemics. Effective risk communication and community engagement can be achieved when assisted by health learning materials. However, their utilization was not known in Ethiopia. Therefore, the present study aimed to assess the utilization of COVID-19 health learning materials (HLMs), and explore barriers and facilitating factors.

METHODS: A sequential explanatory mixed-methods study consisting of two phases was carried out. The first phase was a cross-sectional survey to assess the utilization of COVID-19 HLMs and their predictors. In this phase, a multistage sampling technique was used to select 530 health workers. A self-administered structured questionnaire was used for data collection. Epi-data manager version 4.6.0.2 and STATA version 16 were used for data entry and analyses, respectively. Descriptive analyses were carried out as necessary. Ordinal logistic regression analyses were done to identify the predictors of COVID-19 HLMs utilization. Phase two is a qualitative study to explore enablers and barriers to COVID-19 HLMs utilization. A judgmental sampling technique was used and 14 key informants were recruited. The collected data were uploaded into Atlas ti version 7.0.71. An inductive process of thematic analysis was employed and the data were coded, categorized, and thematized.

RESULTS: Findings showed that out of the total 530 respondents, 210(39.6%), 117(22.1%), and 203(38.3%) of them never use COVID-19 HLMs, use sometimes, and always, respectively. Health workers’ perceived quality of COVID-19 HLMs [AOR = 6.44 (95% CI: 4.18-9.94)], health workers’ perceived usefulness of COVID-19 HLMs [AOR = 2.82 (95% CI: 1.88-4.22)], working facility [AOR = 1.83 (95% CI: 1.07-3.14)], educational level of the respondents [AOR = 1.73 (95% CI: 1.11-2.72)] and availability of COVID-19 HLMs [AOR = 1.45(95% CI: 1.01-2.08)] had statistically significant association with the utilization status of COVID-19 HLMs. Findings from the qualitative study showed that materials-related factors, and structure and health workers-related factors had influence on HLMs utilization.

CONCLUSIONS: In this study, we found that only a few of the respondents were regularly utilizing COVID-19 HLMs. Perceived quality, usefulness, and availability of HLMs, and health workers’ educational status and working facility determined the level of COVID-19 HLMs utilization. There is a need for giving due attention to HLMs, evaluating their quality, availing them to health facilities, and providing training for health workers.

PMID:35671317 | DOI:10.1371/journal.pone.0269574

Int J Audiol. 2022 Jun 7:1-9. doi: 10.1080/14992027.2022.2084461. Online ahead of print.

ABSTRACT

OBJECTIVES: Hearing loss can seriously impact children’s daily life. This study aims to translate and validate the French versions of the hearing performance questionnaires, SSQ-Parent (for 5-18 years old children), and SSQ-Children (for 11-18 years old children).

DESIGN: This controlled prospective trial was conducted between April and October 2020. The forward-backward translation method was used, and a test-retest procedure was carried out on a case and a control population. Cases had at least 30 dBHL hearing loss.

STUDY SAMPLE: 54 cases (mean age 10.4 years old) and 32 controls (mean age 12.5 years old) answered the SSQ-Parent. 35 cases (mean age 13.1 years old) and 35 controls (mean age 14.3 years old) answered the SSQ-Children.

RESULTS: Spearman’s correlation coefficients between global scores of the test and re-test were 0.91 (p < 0.001) for SSQ-Parent, and 0.89 (p < 0.001) for SSQ-Children. Both tests were discriminant (respectively, global score 57.8 vs 92 p < 0.001, 61.2 vs 92.6 p < 0.001), and internally consistent (Cronbach’s alpha 0.94 and 0.97). Items-global score correlation was satisfactory. ROC curves showed high area under curve for the SSQ-Children (0.990), and SSQ-Parent (0.988).

CONCLUSION: The SSQ-Parent and SSQ-Children revealed excellent statistical properties, and can be used for the evaluation of hearing performance of children.

PMID:35671326 | DOI:10.1080/14992027.2022.2084461

PLoS One. 2022 Jun 7;17(6):e0269573. doi: 10.1371/journal.pone.0269573. eCollection 2022.

ABSTRACT

The COVID-19 pandemic has caused over 500 million cases and over six million deaths globally. From these numbers, over 12 million cases and over 250 thousand deaths have occurred on the African continent as of May 2022. Prevention and surveillance remains the cornerstone of interventions to halt the further spread of COVID-19. Google Health Trends (GHT), a free Internet tool, may be valuable to help anticipate outbreaks, identify disease hotspots, or understand the patterns of disease surveillance. We collected COVID-19 case and death incidence for 54 African countries and obtained averages for four, five-month study periods in 2020-2021. Average case and death incidences were calculated during these four time periods to measure disease severity. We used GHT to characterize COVID-19 incidence across Africa, collecting numbers of searches from GHT related to COVID-19 using four terms: ‘coronavirus’, ‘coronavirus symptoms’, ‘COVID19’, and ‘pandemic’. The terms were related to weekly COVID-19 case incidences for the entire study period via multiple linear and weighted linear regression analyses. We also assembled 72 variables assessing Internet accessibility, demographics, economics, health, and others, for each country, to summarize potential mechanisms linking GHT searches and COVID-19 incidence. COVID-19 burden in Africa increased steadily during the study period. Important increases for COVID-19 death incidence were observed for Seychelles and Tunisia. Our study demonstrated a weak correlation between GHT and COVID-19 incidence for most African countries. Several variables seemed useful in explaining the pattern of GHT statistics and their relationship to COVID-19 including: log of average weekly cases, log of cumulative total deaths, and log of fixed total number of broadband subscriptions in a country. Apparently, GHT may best be used for surveillance of diseases that are diagnosed more consistently. Overall, GHT-based surveillance showed little applicability in the studied countries. GHT for an ongoing epidemic might be useful in specific situations, such as when countries have significant levels of infection with low variability. Future studies might assess the algorithm in different epidemic contexts.

PMID:35671301 | DOI:10.1371/journal.pone.0269573

PLoS Genet. 2022 Jun 7;18(6):e1010252. doi: 10.1371/journal.pgen.1010252. Online ahead of print.

ABSTRACT

De novo variants (DNVs) with deleterious effects have proved informative in identifying risk genes for early-onset diseases such as congenital heart disease (CHD). A number of statistical methods have been proposed for family-based studies or case/control studies to identify risk genes by screening genes with more DNVs than expected by chance in Whole Exome Sequencing (WES) studies. However, the statistical power is still limited for cohorts with thousands of subjects. Under the hypothesis that connected genes in protein-protein interaction (PPI) networks are more likely to share similar disease association status, we developed a Markov Random Field model that can leverage information from publicly available PPI databases to increase power in identifying risk genes. We identified 46 candidate genes with at least 1 DNV in the CHD study cohort, including 18 known human CHD genes and 35 highly expressed genes in mouse developing heart. Our results may shed new insight on the shared protein functionality among risk genes for CHD.

PMID:35671298 | DOI:10.1371/journal.pgen.1010252

PLoS Comput Biol. 2022 Jun 7;18(6):e1009773. doi: 10.1371/journal.pcbi.1009773. Online ahead of print.

ABSTRACT

BACKGROUND: Transcription factor (TF) regulates the transcription of DNA to messenger RNA by binding to upstream sequence motifs. Identifying the locations of known motifs in whole genomes is computationally intensive.

METHODOLOGY/PRINCIPAL FINDINGS: This study presents a computational tool, named “Grit”, for screening TF-binding sites (TFBS) by coordinating transcription factors to their promoter sequences in orthologous genes. This tool employs a newly developed mixed Student’s t-test statistical method that detects high-scoring binding sites utilizing conservation information among species. The program performs sequence scanning at a rate of 3.2 Mbp/s on a quad-core Amazon server and has been benchmarked by the well-established ChIP-Seq datasets, putting Grit amongst the top-ranked TFBS predictors. It significantly outperforms the well-known transcription factor motif scanning tools, Pscan (4.8%) and FIMO (17.8%), in analyzing well-documented ChIP-Atlas human genome Chip-Seq datasets.

SIGNIFICANCE: Grit is a good alternative to current available motif scanning tools.

PMID:35671296 | DOI:10.1371/journal.pcbi.1009773

Comput Methods Biomech Biomed Engin. 2022 Jun 7:1-7. doi: 10.1080/10255842.2022.2082246. Online ahead of print.

ABSTRACT

The noninvasive pressure support ventilation (NPSV) has been one of mechanical ventilation widely applied for the respiratory patients in chronic obstructive pulmonary disease (COPD), acute respiratory distress syndrome (ARDS), etc. To investigate and develop the technologies in NPSV conveniently and in low-cost, in this article, a therapy system model of NPSV was designed with developing the mathematical submodels of NPSV respirator and respiratory patient in COPD and ARDS. By simulating the respirator, breath circuit, mask and respiratory patients, a MATLAB-based virtual experimental platform was developed for virtual ventilations. And in order to test the authenticity and practicability of the therapy system model of NPSV, a lot of ASL5000-based physical experiments were carried out for comparative analysis with the simulated outputs: pressures, flows and volumes. The statistical conclusions demonstrate that the simulated results are consist with the results from the physical experiments (TTEST P > 0.39). The experimental results tell that the therapy system model of NPSV is effective and workable. The developed therapy system model of NPSV will be beneficial for clinician and researcher to explore the therapeutic methods and some potential measures in NPSV for saving the respiratory patient’s health and life.

PMID:35670282 | DOI:10.1080/10255842.2022.2082246

Neurourol Urodyn. 2022 Jun 7. doi: 10.1002/nau.24978. Online ahead of print.

ABSTRACT

OBJECTIVE: Urinary incontinence (UI) is one of the most common complications of radical prostatectomy (RP). Impaired urethral sphincter function is generally considered to be the most important contributing factor for UI; however, the mechanism of onset and recovery of urinary continence has not been fully elucidated. The objective of this research was to evaluate preoperative functional urethral length (FUL) and maximum urethral closure pressure (MUCP) as early continence recovery predictors after open retropubic RP (ORRP).

METHODS: The research was conducted on a group of 43 patients with localized prostate cancer (PCa) in the period from July 2019 to May 2021. The urodynamic method of urethral pressure profile (UPP) was used to assess FUL and MUCP, and correlate with the postprostatectomy continence recovery. The severity of UI and bothersome were assessed using fully validated International Consultation on Incontinence Questionnaire – Urinary Incontinence Short Form (ICIQ-UI SF) and number of pads used in 24 h. Patients were interviewed about the use of urinary pads and asked to fill out the ICIQ-UI SF before and 2, 8, 16 and 24 weeks after ORRP.

RESULTS: The median value of FUL (mm) and MUCP (cmH2O) was 69 (28-94) and 76 (16-223), respectively. Correlation and linear regression showed a statistically significant negative correlation between preoperative values of FUL and MUCP with ICIQ symptom score and the number of pads used per day at the four observed time intervals (p < 0.05). Such a result showed that patients with higher preoperative FUL and MUCP values were more likely to recover urinary continence earlier. A value of 65 mm for FUL and 80 cmH₂ O for MUCP proved to be the cut-off values for continence recovery in 24 weeks after ORRP.

CONCLUSION: Preoperatively evaluated FUL and MUCP seem to be valuable prognostic factors for early continence recovery after ORRP. Further investigation on a larger patient cohort is needed to evaluate the role of UPP in the preoperative management of patients with PCa.

PMID:35670263 | DOI:10.1002/nau.24978

Eur J Cardiovasc Nurs. 2022 Jun 7:zvac041. doi: 10.1093/eurjcn/zvac041. Online ahead of print.

ABSTRACT

AIMS: Social support is critical in follow-up of patients after heart transplant (HTx) and positively influences well-being and clinical outcomes such as medication adherence. The purpose of this study was to (i) explore received social support variation (emotional and practical) in HTx recipients at country and centre level and (ii) to assess multi-level correlates.

METHODS AND RESULTS: Secondary data analysis of the multi-level cross-sectional BRIGHT study was conducted in 36 HTx centres in 11 countries. Received social support related to medication adherence was measured with emotional and practical sub-scales. The Conceptual Model of Social Networks and Health guided selection of patient, micro (interpersonal and psychosocial), meso (HTx centre) and macro-level (country health system) factors. Descriptive statistics, intraclass correlations, and sequential multiple ordinal mixed logistic regression analysis were used. A total of 1379 adult HTx recipients were included. Patient level correlates (female sex, living alone, and fewer depressive symptoms) and micro-level correlates (higher level of chronic disease management and trust in the healthcare team) were associated with better emotional social support. Similarly, patient level (living alone, younger age, and male sex), micro-level and meso-level (patient and clinician-rated higher level of chronic disease management) were associated with better practical social support. Social support varied at country and centre levels for emotional and practical dimensions.

CONCLUSIONS: Social support in HTx recipients varies by country, centre, and was associated with multi-level correlates. Qualitative and longitudinal studies are needed to understand influencing factors of social support for intervention development, improvement of social support, and clinical outcomes.

PMID:35670232 | DOI:10.1093/eurjcn/zvac041