Tag: statistics

BMC Pregnancy Childbirth. 2024 Jun 1;24(1):403. doi: 10.1186/s12884-024-06593-x.

ABSTRACT

BACKGROUND: The practice of intrapartum use of oxytocin for induction and augmentation of labour is increasing worldwide with documented wide variations in clinical use, especially dose administrations. There is also evidence of intrapartum use by unauthorized cadre of staff.

AIM: This study assessed the patterns – frequency of intrapartum use of oxytocin, the doses and routes of administration for induction and augmentation of labour, and identified the predictors of oxytocin use for induction and augmentation of labour by healthcare providers in Nigeria.

METHODS: This was a cross-sectional study conducted among healthcare providers – doctors, nurses/midwives and community health workers (CHWs) in public and private healthcare facilities across the country’s six geopolitical zones. A multistage sampling technique was used to select 6,299 eligible healthcare providers who use oxytocin for pregnant women during labour and delivery. A self-administered questionnaire was used to collect relevant data and analysed using STATA 17 statistical software. Summary and inferential statistics were done and further analyses using multivariable regression models were performed to ascertain independent predictor variables of correct patterns of intrapartum oxytocin usage. The p-value was set at < 0.05.

RESULTS: Of the 6299 respondents who participated in the study, 1179 (18.7%), 3362 (53.4%), and 1758 (27.9%) were doctors, nurses/midwives and CHWs, respectively. Among the respondents, 4200 (66.7%) use oxytocin for augmentation of labour while 3314 (52.6%) use it for induction of labour. Of the 1758 CHWs, 37.8% and 49% use oxytocin for induction and augmentation of labour, respectively. About 10% of the respondents who use oxytocin for the induction or augmentation of labour incorrectly use the intramuscular route of administration and about 8% incorrectly use intravenous push. Being a doctor, and a healthcare provider from government health facilities were independent positive predictors of the administration of correct dose oxytocin for induction and augmentation of labour. The CHWs were most likely to use the wrong route and dose administration of oxytocin for the induction and augmentation of labour.

CONCLUSION: Our study unveiled a concerning clinical practice of intrapartum oxytocin use by healthcare providers in Nigeria – prevalence of intrapartum use of oxytocin, inappropriate routes of administration for induction and augmentation of labour, varied and inappropriately high start dose of administration including unauthorized and high intrapartum use of oxytocin among CHWs.

PMID:38824569 | DOI:10.1186/s12884-024-06593-x

BMC Psychol. 2024 Jun 1;12(1):322. doi: 10.1186/s40359-024-01811-9.

ABSTRACT

BACKGROUND: COVID-19-related stigmatization refers to COVID-19-related judgements by others that devalue the individual. Such stigmatization towards healthcare workers may cause psychological burden and negative consequences. Such stigmatization may have particularly overwhelmed allied health trainees (AHTs) and post-graduate year doctors (PGYDs) because they just started their medical career. Social support and resource support have been reported to benefit psychological health and reduce stigmatization. Therefore, the present study used a cross-sectional study design to investigate the association between perceived stigma, self-stigma, psychological distress, and negative outcomes (including emotional exhaustion, insomnia and suicidal ideation) among AHTs and PGYDs in Taiwan.

METHODS: An online survey distributed between July and December, 2022 received 522 responses. Variables were assessed using the 21-item Depression, Anxiety and Stress Scale, Insomnia Severity Index and a series of self-designed questions to assess social support, resource support, perceived stigma, self-stigma, emotional exhaustion, and suicidal ideation.

RESULTS: Structural equation modeling showed that perceived stigma was associated with self-stigma (standardized coefficient [β] = 0.428, p < 0.001), and self-stigma was associated with psychological distress (β = 0.197, p < 0.001), as well as being associated with emotional exhaustion, insomnia, and suicidal ideation (β = 0.349, 0.556 and 0.212, all p-values < 0.001). While social support and resource support were negatively associated with perceived stigma (β= – 0.175 and – 0.152, p < 0.01), additional associations were found between social support and emotional exhaustion (β= – 0.093, p < 0.001), as well as between resource support and insomnia (β= – 0.120, p < 0.001).

CONCLUSIONS: The results showed that COVID-19 related stigmatization was correlated to the detrimental consequences of emotional exhaustion, insomnia and suicidal ideation. Clear paths regarding the associations of social support and resource support with the three negative associations were found as the possible solutions. Strategies to reduce the stigmatization and these negative outcomes, or improve the psychological health will benefit AHTs and PGYDs in maintaining a healthy mental status.

PMID:38824566 | DOI:10.1186/s40359-024-01811-9

BMC Public Health. 2024 Jun 1;24(1):1475. doi: 10.1186/s12889-024-19002-x.

ABSTRACT

BACKGROUND: Globally, the counting of deaths based on gender identity and sexual orientation has been a challenge for health systems. In most cases, non-governmental organizations have dedicated themselves to this work. Despite these efforts in generating information, the scarcity of official data presents significant limitations in policy formulation and actions guided by population needs. Therefore, this manuscript aims to evaluate the accuracy, potential, and limits of probabilistic data relationships to yield information on deaths according to gender identity and sexual orientation in the State of Rio de Janeiro.

METHODS: This study evaluated the accuracy of the probabilistic record linkage to obtain information on deaths according to gender and sexual orientation. Data from two information systems were used from June 15, 2015 to December 31, 2020. We constructed nine probabilistic data relationship strategies and identified the performance and cutoff points of the best strategy.

RESULTS: The best data blocking strategy was established through logical blocks with the first and last names, birthdate, and mother’s name in the pairing strategy. With a population base of 80,178 records, 1556 deaths were retrieved. With an area under the curve of 0.979, this strategy presented 93.26% accuracy, 98.46% sensitivity, and 90.04% specificity for the cutoff point ≥ 17.9 of the data relationship score. The adoption of the cutoff point optimized the manual review phase, identifying 2259 (90.04%) of the 2509 false pairs and identifying 1532 (98.46%) of the 1556 true pairs.

CONCLUSION: With the identification of possible strategies for determining probabilistic data relationships, the retrieval of information on mortality according to sexual and gender markers has become feasible. Based on information from the daily routine of health services, the formulation of public policies that consider the LGBTQ + population more closely reflects the reality experienced by these population groups.

PMID:38824562 | DOI:10.1186/s12889-024-19002-x

BMC Psychol. 2024 Jun 1;12(1):323. doi: 10.1186/s40359-024-01832-4.

ABSTRACT

BACKGROUND: Medical and health sector employees are always exposed to physical and psychological risk factors, which affects their personal, social and professional performance. It’s important to explores the intricate interplay between personality traits, stress levels, and psychosomatic symptoms among nurses as one of the most sensitive jobs in society. Therefore, the present study aimed to investigating the relationship between the personality traits of hardiness and perfectionism with stress and psychosomatic symptoms among nurses.

METHODS: This cross-sectional study was conducted among 340 nurses in Mazandaran, Iran in 2022-2023. The instruments utilized to collect data included four questionnaires, namely Cubasa Hardiness Questionnaire, Tehran Multidimensional Perfectionism Questionnaire, Nursing Stress Questionnaire and Takata and Sakata Psychosomatic Questionnaire. The structural equations modeling was used for path analysis. All analyzes were done using SPSS V.25.0 and AMOS V.24.0 software.

RESULTS: The results of the present study revealed that the prevalence of psychosomatic symptoms and stress in nurses was high, and all path coefficients were significant, except for the paths of commitment to stress, challenge to psychosomatic symptoms, self-orientation to psychosomatic symptoms, and community-orientation to psychosomatic symptoms. The results showed that in the final model, the highest coefficient (0.807) is assigned to the other-oriented perfectionism path to psychosomatic symptoms. The weakest coefficient (-0.276) is related to the path of the hardiness component of the challenge to stress. The current research examined the fitting of the proposed model and the suitability of the proposed model was confirmed.

CONCLUSION: The results of the present study revealed that psychological factors such as personality traits of hardiness, and perfectionism are among the important and influencing parameters on occupational stress, and psychosomatic symptoms and as a result the efficiency and effectiveness of nurses in working environments. Therefore, it is absolutely necessary to implement mitigating and control measures to reduce the mentioned risk factors among nurses in medical settings.

PMID:38824561 | DOI:10.1186/s40359-024-01832-4

BMC Med Educ. 2024 Jun 1;24(1):608. doi: 10.1186/s12909-024-05502-2.

ABSTRACT

BACKGROUND: Sharing knowledge among scientists during global health emergencies is a critical issue. So, this study investigates knowledge-sharing behavior and attitude among staff members of 19 Medical schools in Egyptian universities during the COVID-19 pandemic.

METHODS: Across-sectional study was conducted using a web-based questionnaire. A total of 386 replies from the 10,318 distributed questionnaires were analyzed. Descriptive statistics were computed using SPSS (version 22) to summarize the demographic data. Inferential statistics such as the independent and chi-square test were used to achieve the study aims.

RESULTS: More than half of the respondents (54.4%) indicated that their levels of knowledge of COVID-19 were good. Most participants (72.5%) reported that scientific publications and international websites were the most reliable source of their knowledge concerning COVID-19. More than 46% stated they sometimes share their knowledge. The lack of time to share and organizational culture were the most important factors that could affect their knowledge sharing. Additionally, about 75% of participants shared knowledge about treatment.

PMID:38824557 | DOI:10.1186/s12909-024-05502-2

BMC Oral Health. 2024 Jun 1;24(1):650. doi: 10.1186/s12903-024-04402-7.

ABSTRACT

BACKGROUND: The formation of white spots, which represent early carious lesions, is a major issue with fixed orthodontics. The addition of remineralizing agents to orthodontic adhesives may prevent the formation of white spots. The aim of this study was to produce a composite orthodontic adhesive combined with nano-bioactive glass-silver (nBG@Ag) for bracket bonding to enamel and to investigate its cytotoxicity, antimicrobial activity, remineralization capability, and bond strength.

METHODS: nBG@Ag was synthesized using the sol-gel method, and characterized using transmission electron microscopy (TEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy with an attenuated total reflectance attachment (ATR-FTIR). The cytotoxicity test (MTT) and antimicrobial activity of adhesives containing 1%, 3%, and 5% (wt/wt) nBG@Ag were evaluated, and the shear bond strength of the adhesives was measured using a universal testing machine. Remineralization was assessed through microhardness testing with a Vickers microhardness tester and scanning electron microscopy (SEM). Statistical analyses were conducted using the Shapiro-Wilk test, Levene test, one-way ANOVA, Robust-Welch test, Tukey HSD method, and two-way ANOVA.

RESULTS: The biocompatibility of the adhesives was found to be high, as confirmed by the lack of significant differences in the cytotoxicity between the sample and control groups. Discs made from composites containing nBG@Ag exhibited a significant reduction in the growth of Streptococcus mutans (p < 0.05), and the antibacterial activity increased with higher percentages of nBG@Ag. The shear bond strength of the adhesives decreased significantly (p < 0.001) after the addition of nanoparticles, but it remained above the recommended value. The addition of nBG@Ag showed improvement in the microhardness of the teeth, although the differences in microhardness between the study groups were not statistically significant. The formation of hydroxyapatite deposits on the tooth surface was confirmed through SEM and energy-dispersive X-ray spectroscopy (EDX).

CONCLUSION: Adding nBG@Ag to orthodontic adhesives can be an effective approach to enhance antimicrobial activity and reduce enamel demineralization around the orthodontic brackets, without compromising biocompatibility and bond strength.

PMID:38824555 | DOI:10.1186/s12903-024-04402-7

Biomed Eng Online. 2024 Jun 1;23(1):50. doi: 10.1186/s12938-024-01244-w.

ABSTRACT

BACKGROUND: Over 60% of epilepsy patients globally are children, whose early diagnosis and treatment are critical for their development and can substantially reduce the disease’s burden on both families and society. Numerous algorithms for automated epilepsy detection from EEGs have been proposed. Yet, the occurrence of epileptic seizures during an EEG exam cannot always be guaranteed in clinical practice. Models that exclusively use seizure EEGs for detection risk artificially enhanced performance metrics. Therefore, there is a pressing need for a universally applicable model that can perform automatic epilepsy detection in a variety of complex real-world scenarios.

METHOD: To address this problem, we have devised a novel technique employing a temporal convolutional neural network with self-attention (TCN-SA). Our model comprises two primary components: a TCN for extracting time-variant features from EEG signals, followed by a self-attention (SA) layer that assigns importance to these features. By focusing on key features, our model achieves heightened classification accuracy for epilepsy detection.

RESULTS: The efficacy of our model was validated on a pediatric epilepsy dataset we collected and on the Bonn dataset, attaining accuracies of 95.50% on our dataset, and 97.37% (A v. E), and 93.50% (B vs E), respectively. When compared with other deep learning architectures (temporal convolutional neural network, self-attention network, and standardized convolutional neural network) using the same datasets, our TCN-SA model demonstrated superior performance in the automated detection of epilepsy.

CONCLUSION: The proven effectiveness of the TCN-SA approach substantiates its potential as a valuable tool for the automated detection of epilepsy, offering significant benefits in diverse and complex real-world clinical settings.

PMID:38824547 | DOI:10.1186/s12938-024-01244-w

BMC Public Health. 2024 Jun 1;24(1):1476. doi: 10.1186/s12889-024-19012-9.

ABSTRACT

INTRODUCTION: Intimate partner violence is a human rights violation that often involves violence against women, which appears to be the most prevalent type of abuse. Intimate partner violence is a major global public health issue that includes physical, emotional, and sexual violence. The prevalence of intimate partner violence in Africa is high. The burden of intimate partner violence among reproductive-age women is high in Kenya. Therefore, the main aim of this study is to determine the associated factors of intimate partner violence among reproductive-age women at the individual and community level from the recent Demographic and Health Survey (DHS) 2022 data of Kenya.

METHODS: The Kenya National Demographic and Health Survey data of 2022 was used for this study. The overall sample size for this study was 14,612, which focused on women aged 15 to 49 years who had ever been partnered and responded to the domestic violence module. Multilevel logistic regression models to determine the prevalence and associated factors at the individual and community level with intimate partner violence with a 95% Confidence Interval (CI) and Adjusted Odds Ratio (AOR).

RESULT: The overall prevalence of intimate partner violence was 41.1% with a 95% CI (40.07%, 42.60. Male-headed households, poorest and middle wealth status, partner alcohol use, separated/widowed current marital status, and low education of women were statistically significantly associated with intimate partner violence at the individual level variables in this study.

CONCLUSIONS: The prevalence of intimate partner violence was high. Educating women, reducing partner alcohol use, and improving the economic status of women, were crucial in mitigating the burden of intimate partner violence. The intimate partners are supposed to respect the rights of women.

PMID:38824543 | DOI:10.1186/s12889-024-19012-9

BMC Womens Health. 2024 Jun 1;24(1):317. doi: 10.1186/s12905-024-03167-z.

ABSTRACT

BACKGROUND: Inequalities in modern contraceptive use among women in low-income countries remain a major public health challenge. Eliminating or reducing the inequalities in modern contraceptive use among women could accelerate the achievement of Sustainable Development Goals, Targets 3.7 & 5.6. Thus, this study examined the inequality gaps in modern contraceptive use and associated factors among women of reproductive age in Nigeria between 2003 and 2018.

METHODS: This study employed the World Health Organisation’s Health Equity Assessment Toolkit to analyse the 2003 and 2018 Nigeria Demographic Health Surveys. Modern contraceptive use was aggregated using five equity stratifiers: age, economic status, educational level, place, and region of residence among women of reproductive aged 15 to 49, with a sample size of 5,336 and 29,090 for 2003 and 2018, respectively. Inequality was measured in this study using difference (D), ratio (R), population-attributable risk (PAR), and a population-attributable fraction (PAF).

RESULTS: The study shows an increase in modern contraceptive use among women of reproductive age in Nigeria from 8.25% in 2003 to 12.01% in 2018, with the use being more prominent among women of reproductive age 20-49 and those in the richest economic quintile. In both surveys, women with primary education showed the most upward increase in modern contraceptive use. Women residing in the urban areas also show an upward use of modern contraceptives use. The study further highlights inequality gaps, with age being a substantial factor, while economic status and sub-national regions showed mild to marginal inequality gaps. Finally, the educational level of women of reproductive age in Nigeria significantly shows inequality in modern contraceptive use, with a PAF of 129.11 in 2003 and 65.39 in 2018.

CONCLUSION: The inequality gap in modern contraceptive use among women of reproductive age in Nigeria between 2003 and 2018 reported in this study includes age, education, wealth quintile, residence, and region-related inequalities. The study highlights the need for policies and programmes that target the groups with low use of modern contraceptives to promote equity in family planning services.

PMID:38824536 | DOI:10.1186/s12905-024-03167-z

BMC Womens Health. 2024 Jun 1;24(1):316. doi: 10.1186/s12905-024-03065-4.

ABSTRACT

INTRODUCTION: Bacterial vaginitis (BV) is a common vaginal disease. Vitamin E has been shown to reduce BV by enhancing immune function, but no studies have analyzed the relationship between vitamin E and BV at different BMIs and ages.

METHOD: This study used 2242 participants from four cycles of NHANES 1999-2006 in American. Participants’ vitamin E levels were divided into four groups, and analyses such as study population description, stratified analysis, multiple logistic regression analysis, and curve fitting were performed. To perform data processing, the researchers used the statistical package R (The R Foundation; http://www.r-project.org ; version 3.6.3) and Empower Stats software ( www.empowerstats.net , X&Y solutions, Inc. Boston, Massachusetts).

RESULT: The concentrations of serum vitamin E were negatively correlated with the risk of BV, especially when vitamin E were at 1198-5459ug/dL with (OR = -0.443, 95%CI = 0.447-0.923, P = 0.032) or without (OR = -0.521, 95%CI = 0.421-0.837, P = 0.006) adjustment for variables. At the same time, at lower levels, there was no significant association. Vitamin E supplementation may significantly reduce the risk of BV (p < 0.001). In addition, the risk of having BV decreased and then increased with increasing vitamin E concentrations at high BMI levels (p < 0.01).

CONCLUSION: Vitamin E at moderate to high concentrations may significantly reduce BV risk, says the study, providing clinical evidence for the prevention and the treatment of BV.

PMID:38824532 | DOI:10.1186/s12905-024-03065-4