Prevalence, determinants and care-seeking behaviour for anxiety and depression in Nepalese population: a secondary analysis of data from Nepal Demographic and Health Survey 2022.

OBJECTIVE: To determine the prevalence and factors associated with anxiety and depression and the care-seeking behaviour among Nepalese population. DESIGN AND SETTINGS: Secondary analysis of the data from nationally representative Nepal Demographic and Health Survey 2022. PARTICIPANTS: Analysed data of 12 355 participants (7442 females and 4913 males) aged 15-49 years. OUTCOME MEASURES: Depression and anxiety were assessed using Patient Health Questionnaire-9 (PHQ-9) and Generalised Anxiety Disorder Assessment (GAD-7) tools, respectively. STATISTICAL ANALYSIS: We performed weighted analysis to account for the complex survey design. We presented categorical variables as frequency, per cent and 95% confidence interval (CI), whereas numerical variables were presented as median, inter-quartile range (IQR) and 95% CI. We performed univariate and multivariable logistic regression to determine factors associated with anxiety and depression, and results were presented as crude OR (COR), adjusted OR (AOR) and their 95% CI. RESULTS: The prevalence of depression and anxiety were 4.0% (95% CI 3.5 to 4.5) and 17.7% (95% CI 16.5 to 18.9), respectively. Divorced or separated participants were found to have higher odds of developing anxiety (AOR 2.40, 95% CI 1.74 to 3.31) and depression (AOR 3.16, 95% CI 1.84 to 5.42). Among ethnic groups, Janajati had lower odds of developing anxiety (AOR 0.77, 95% CI 0.65 to 0.92) and depression (AOR 0.67, 95% CI 0.49 to 0.93) compared with Brahmin/Chhetri. Regarding disability, participants with some difficulty had higher odds of developing anxiety (AOR 1.81, 95% CI 1.56 to 2.10) and depression (AOR 1.94, 95% CI 1.51 to 2.49), and those with a lot of difficulty had higher odds of anxiety (AOR 2.09, 95% CI 1.48 to 2.96) and depression (AOR 2.04, 95% CI 1.06 to 3.90) compared with those without any disability. Among those who had symptoms of anxiety or depression, only 32.9% (95% CI 30.4 to 34.4) sought help for the conditions. CONCLUSIONS: Marital status and disability status were positively associated with anxiety and depression, whereas Janajati ethnicity had relatively lower odds of experiencing anxiety and depression. It is essential to develop interventions and policies targeting females and divorced individuals to help reduce the burden of anxiety and depression in Nepal.

MEFFNet: Forecasting Myoelectric Indices of Muscle Fatigue in Healthy and Post-Stroke During Voluntary and FES-Induced Dynamic Contractions.

Myoelectric indices forecasting is important for muscle fatigue monitoring in wearable technologies, adaptive control of assistive devices like exoskeletons and prostheses, functional electrical stimulation (FES)-based Neuroprostheses, and more. Non-stationary temporal development of these indices in dynamic contractions makes forecasting difficult. This study aims at incorporating transfer learning into a deep learning model, Myoelectric Fatigue Forecasting Network (MEFFNet), to forecast myoelectric indices of fatigue (both time and frequency domain) obtained during voluntary and FES-induced dynamic contractions in healthy and post-stroke subjects respectively. Different state-of-the-art deep learning models along with the novel MEFFNet architecture were tested on myoelectric indices of fatigue obtained during [Formula: see text] voluntary elbow flexion and extension with four different weights (1 kg, 2 kg, 3 kg, and 4 kg) in sixteen healthy subjects, and [Formula: see text] FES-induced elbow flexion in sixteen healthy and seventeen post-stroke subjects under three different stimulation patterns (customized rectangular, trapezoidal, and muscle synergy-based). A version of MEFFNet, named as pretrained MEFFNet, was trained on a dataset of sixty thousand synthetic time series to transfer its learning on real time series of myoelectric indices of fatigue. The pretrained MEFFNet could forecast up to 22.62 seconds, 60 timesteps, in future with a mean absolute percentage error of 15.99 ± 6.48% in voluntary and 11.93 ± 4.77% in FES-induced contractions, outperforming the MEFFNet and other models under consideration. The results suggest combining the proposed model with wearable technology, prosthetics, robotics, stimulation devices, etc. to improve performance. Transfer learning in time series forecasting has potential to improve wearable sensor predictions.

Return to Sports in Stress Reaction and Stress Fractures in Indian Athletes: A Case Series.

Introduction: A stress fracture is a painful condition which occurs when the adaptive ability of the bone is unbalanced. This imbalance predominantly occurs due to increased intensity, frequency, or duration of training. Identifying the etiology of stress fracture and its proper treatment prevents recurrence. Besides, evidence-based and supervised rehabilitation is indispensable for permanent remission of pain and return to sports to preinjury functional levels. The case series discusses the continuum of stress reaction to stress fracture in athletes, causes of stress fractures, their management, and return to sport. The paper aims to give a clear discussion about the management with rehabilitation guidelines for metabolic causes of stress fractures. Case Report: This study was a case series of five cases coming to Sports Medicine outpatient clinic of Sports Injury Centre, VMMC and Safdarjung Hospital, New Delhi, and physical medicine and rehabilitation outpatient clinic of Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow over a period of 1 year. The discussed cases are young Indian athletes, both male and females, who have presentation along the continuum of medial tibial stress syndrome (MTSS) to stress reactions and stress fracture. Conclusion: The findings of the paper highlight the significance of rehabilitation for individuals suffering from MTSS. Accurate diagnosis with targeted rehabilitation leads to quicker return to sports. The rehabilitation program comprises of identifying and treating the cause of stress fracture, removing any risk factors, biomechanical correction wherever indicated, structured exercise program, training in underwater treadmill, cyclical increase in loading, reducing activity every 3rd week.

Perception and Willingness Regarding Organ Transplantation/donation among Medical Students of Maharajgunj Medical Campus: A Cross-sectional Study.

BACKGROUND: Organ transplant is the procedure of replacing a failing or damaged organ with a functioning one. Positive attitude and awareness about donation are a must for donor organs to be available. This study explored the level of knowledge, perception and willingness regarding organ donation among medical students in Nepal. METHODS: A descriptive cross-sectional study was conducted with 180 medical students using a self-administered questionnaire. Descriptive statistics were used, and Pearson correlation was applied to examine the relationship between knowledge and perception of organ transplantation. Independent samples t-test and ANOVA was used to compare scores among year of study and gender. RESULTS: Results indicated that 86.1% of participants were aware of the need for organ donation, and 83.3% knew that both living and deceased individuals could be donors. While 93.9% believed in the need for effective laws, 72.8% perceived risks for donors. However, only 74.4% were willing to donate their organs, though 91.7% expressed willingness to promote organ donation among friends and family. Participants showed a positive perception towards organ donation. CONCLUSIONS: Despite a high level of awareness and knowledge regarding organ donation, participants exhibited a lower level of willingness to donate organs. Perceived risks for donors and a lack of robust laws and regulations presented significant barriers. Nevertheless, an inclination to promote organ donation was observed. This underlines the need for enhanced education and policy reform to increase organ donation rates.

Health facilities readiness for standard precautions to infection prevention and control in Nepal: A secondary analysis of Nepal Health Facility Survey 2021.

BACKGROUND: Improvements in standard precaution related to infection prevention and control (IPC) at the national and local-level health facilities (HFs) are critical to ensuring patient's safety, preventing healthcare-associated infections (HAIs), mitigating Antimicrobial Resistance (AMR), protecting health workers, and improving trust in HFs. This study aimed to assess HF's readiness to implement standard precautions for IPC in Nepal. METHODS: This study conducted a secondary analysis of the nationally-representative Nepal Health Facility Survey (NHFS) 2021 data and used the Service Availability and Readiness Assessment (SARA) Manual from the World Health Organization (WHO) to examine the HF's readiness to implement standard precautions for IPC. The readiness score for IPC was calculated for eight service delivery domains based on the availability of eight tracer items: guidelines for standard precautions, latex gloves, soap and running water or alcohol-based hand rub, single use of standard disposal or auto-disable syringes, disinfectant, safe final disposal of sharps, safe final disposal of infectious wastes, and appropriate storage of infectious waste. We used simple and multiple linear regression and quantile regression models to examine the association of HF's readiness with their characteristics. Results were presented as beta (ß) coefficients and 95% confidence interval (95% CI). RESULTS: The overall readiness scores of all HFs, federal/provincial hospitals, local HFs, and private hospitals were 59.9±15.6, 67.1±14.4, 59.6±15.6, and 62.6±15.5, respectively. Across all eight health service delivery domains, the HFs' readiness for tuberculosis services was the lowest (57.8±20.0) and highest for delivery and newborn care services (67.1±15.6). The HFs performing quality assurance activities (ß = 3.68; 95%CI: 1.84, 5.51), reviewing clients' opinions (ß = 6.66; 95%CI: 2.54, 10.77), and HFs with a monthly meeting (ß = 3.28; 95%CI: 1.08, 5.49) had higher readiness scores. The HFs from Bagmati, Gandaki, Lumbini, Karnali and Sudurpaschim had readiness scores higher by 7.80 (95%CI: 5.24, 10.36), 7.73 (95%CI: 4.83, 10.62), 4.76 (95%CI: 2.00, 7.52), 9.40 (95%CI: 6.11, 12.68), and 3.77 (95%CI: 0.81, 6.74) compared to Koshi. CONCLUSION: The readiness of HFs to implement standard precautions was higher in HFs with quality assurance activities, monthly HF meetings, and mechanisms for reviewing clients' opinions. Emphasizing quality assurance activities, implementing client feedback mechanisms, and promoting effective management practices in HFs with poor readiness can help to enhance IPC efforts.

Unmet need for family planning and associated factors among currently married women in Nepal: A further analysis of Nepal Demographic and Health Survey-2022.

INTRODUCTION: Family planning (FP) is crucial for improving maternal and newborn health outcomes, promoting gender equality, and reducing poverty. Unmet FP needs persist globally, especially in South Asia and Sub-Saharan Africa leading to unintended pregnancies, unsafe abortions, and maternal fatalities. This study aims to identify the determinants of unmet needs for FP from a nationally representative survey. METHODS: We analyzed the data of 11,180 currently married women from nationally representative Nepal Health Demographic Survey 2022. We conducted weighted analysis in R statistical software to account complex survey design and non-response rate. We conducted univariate and multivariable binary and multinomial logistic regression to assess association of unmet need for FP with independent variables including place of residence, province, ecological belt, ethnicity, religion, current age, participant's and husband's education, occupation, wealth quintile, parity, desire for child, and media exposure. RESULTS: The total unmet FP need was 20.8% (95%CI: 19.7, 21.9) accounting 13.4% (95%CI: 12.5, 14.4) for unmet need for limiting and 7.4% (95%CI: 6.8, 8.0) for unmet for spacing. Lower odds of total unmet need for FP were present in 20-34 years and 35-49 years compared to <20 years, women belonging to Madhesi ethnic group (AOR: 0.78; 95%CI: 0.64, 0.95) compared to Brahmin/Chhetri, women from richest (AOR: 0.69; 95%CI: 0.56, 0.84), richer (AOR: 0.82; 95%CI: 0.68, 0.97) and middle wealth quintile (AOR: 0.82; 95%CI:0.70, 0.98) groups compared poorest wealth quintile group and women belonging to rural area (AOR: 0.89; 95%CI: 0.80, 0.99) compared to urban area. Higher odds of unmet need for FP were present among women with basic (AOR: 1.34; 95%CI: 1.17, 1.54), and secondary level (AOR: 1.32; 95%CI: 1.12, 1.56) education compared to women without education, among women from Madhesh (AOR: 1.56; 95%CI: 1.22, 1.98), Gandaki (AOR: 2.11; 95%CI: 1.66, 2.68), Lumbini (AOR: 1.97; 95%CI: 1.61, 2.42) and Sudurpashchim province (AOR: 1.64; 95%CI: 1.27, 2.10) compared to Koshi province and among women whose husband education was basic level (AOR:1.37; 95%CI: 1.15, 1.63), or secondary level (AOR: 1.32; 95%CI: 1.09, 1.60) education. CONCLUSION: Nepal faces relatively high unmet FP needs across various socio-demographic strata. Addressing these needs requires targeted interventions focusing on age, ethnicity, religion, education, and socio-economic factors to ensure universal access to FP services.

Assessing intersectional gender analysis in Nepal's health management information system: a case study on tuberculosis for inclusive health systems.

BACKGROUND: Tuberculosis (TB) remains a major public health problem in Nepal, high in settings marked by prevalent gender and social inequities. Various social stratifiers intersect, either privileging or oppressing individuals based on their characteristics and contexts, thereby increasing risks, vulnerabilities and marganilisation associated with TB. This study aimed to assess the inclusiveness of gender and other social stratifiers in key health related national policies and the Health Management Information System (HMIS) of National Tuberculosis Programme (NTP) by conducting an intersectional analysis of TB cases recorded via HMIS. METHODS: A desk review of key policies and the NTP's HMIS was conducted. Retrospective intersectional analysis utilized two secondary data sources: annual NTP report (2017-2021) and records of 628 TB cases via HMIS 6.5 from two TB centres (2017/18-2018/19). Chi-square test and multi-variate analysis was used to assess the association between social stratifers and types of TB, registration category and treatment outcome. RESULTS: Gender, social inclusion and concept of intersectionality are incorporated into various health policies and strategies but lack effective implementation. NTP has initiated the collection of age, sex, ethnicity and location data since 2014/15 through the HMIS. However, only age and sex disaggregated data are routinely reported, leaving recorded social stratifiers of TB patients static without analysis and dissemination. Furthermore, findings from the intersectional analysis using TB secondary data, showed that male more than 25 years exhibited higher odds [adjusted odds ratio (aOR) = 4.95, 95% confidence interval (CI): 1.60-19.06, P = 0.01)] of successful outcome compared to male TB patients less than 25 years. Similarly, sex was significantly associated with types of TB (P < 0.05) whereas both age (P < 0.05) and sex (P < 0.05) were significantly associated with patient registration category (old/new cases). CONCLUSIONS: The results highlight inadequacy in the availability of social stratifiers in the routine HMIS. This limitation hampers the NTP's ability to conduct intersectional analyses, crucial for unveiling the roles of other social determinants of TB. Such limitation underscores the need for more disaggregated data in routine NTP to better inform policies and plans contributing to the development of a more responsive and equitable TB programme and effectively addressing disparities.

Interrater Variability among Anaesthesiologists Using American Society of Anesthesiologists Physical Status Classification System.

BACKGROUND: The American Society of Anaesthesiologists Physical Status classification is deployed by the anaesthesiologists worldwide to classify operative surgical patients. Many studies have found moderate degree of interrater variability among anaesthesiologists. The general objective of the study was to find out interrater variability among Nepalese anesthesiologists using this classification system in Nepal. The specific objectives of the study were to find out the correctness of assignment and inter-rater variability among anaesthesiologists based on their experience. METHODS: Ten clinical cases were distributed among 130 registered anaesthesiologist practitioners of Nepal after validation with the experts. Respondents were asked to assign each of ten cases to a specific physical status class. Anaesthesiologists were classified to two classes based on clinical experience as having more or less than five years of experience. RESULTS: We found substantial agreement among < 5 year's (0.66) and > 5 year's experience group (0.753) and among all raters (0.736). The mean score of the group with less than 5 years of experience was more. There was no significant difference between the mean score (p = 0.595). Overall mean score for the both groups was 5.66 with SD 1.66. There was no significant difference between the groups. CONCLUSIONS: The study shows that there is very less variation among registered practising anaesthesiologists of Nepal using American Society of Anesthesiologists Physical Status classification system.

Essential newborn care practices in health facilities of Nepal: Evidence from Nepal Health Facility Survey 2015 and 2021.

Availability of newborn care practices in health facilities (HFs) plays an important role in improving the survival and well-being of newborns. In this paper, we aimed to assess practice of carrying out different newborn care practices among HFs between 2015 and 2021, and associated factors in Nepal. We analyzed data of 621 and 786 HFs offering delivery and newborn care services from Nepal Health Facility Surveys 2015 and 2021, respectively. We summarized categorical variables with a weighted percent and 95% confidence interval (CI). We estimated weighted unadjusted absolute difference in percentage of different newborn care practices between 2015 and 2021, and its 95% CI using binomial regression model. We applied univariable and multivariable logistic regression analysis to determine the factors associated with the availability of all seven newborn care practices. The percentage of HFs carrying out all seven newborn care practices was 50.5% (95% CI: 44.6, 56.3) in 2015 and 83.7% (95% CI: 79.8, 87.0) in 2021 with an overall difference of 33.3 percent points (95% CI: 26.4, 40.1). The proportion of HFs reporting all seven newborn care practices increased significantly between 2015 and 2021 in each all three ecological regions and in provinces except Madhesh and Gandaki. In 2021, private hospitals had lower odds of carrying out all seven newborn care practices compared to federal/provincial hospitals (AOR = 0.26, 95% CI: 0.11, 0.63). Similarly, in 2021, the odds of HFs carrying out all seven newborn care practices was 2.87 (95% CI: 1.06, 8.31) times higher in Sudurpashchim compared to Koshi province. In 2021, HFs carrying out seven newborn care practices did not differ significantly based on ecological belts, quality assurance activities, external supervision, delivery service-related training, and frequency of HF meetings. In conclusion, there has been significant improvement in proportion of facilities carrying out seven essential newborn care practices between 2015 and 2021. Type of facility and provinces were associated with the HFs carrying out seven newborn care practices in Nepal.

Investigating the Effects of a Kinematic Gait Parameter-Based Haptic Cue on Toe Clearance in Parkinson's Patients.

Recurrent falls pose a significant challenge for Parkinson's disease (PD) patients and are a leading cause of disability in this population. One contributing factor to these recurring falls is the reduced minimum toe clearance (mTC). Preventing such falls by enhancing mTC has become an important goal in gait training among PD patients. In this paper, we propose a wearable cueing-based novel gait training device in anticipation of improved mTC. The cueing device records the foot strike angle (FSA) and cues the participants if the FSA is observed above a threshold. The patients with PD (n = 8) were recruited and asked to walk under two conditions: (a) with cue and (b) without cue at a self-selected speed during the ON medication state. Kinetic and kinematic gait parameters such as vertical ground reaction force, center of pressure, toe clearance, and FSA were recorded. A Mann-Whitney U test showed a significant increase (p < 0.001) in the toe clearance (within 34% to 64% of the swing phase from the toe-off instance) and FSA, from 87.60 mm and - 5.43degrees respectively during without cue to 94.29 mm and 2.93degrees respectively during with cue walking condition except in one subject. These findings support the potential incorporation of an FSA-based cueing device for toe clearance improvement among PD patients. In addition, the wearable setup supports the cueing device applicability outside laboratory and home settings.

A Novel Kinematic Gait Parameter-Based Vibrotactile Cue for Freezing of Gait Mitigation among Parkinson's Patients: A Pilot Study.

Auditory and visual cues have been efficacious in laboratory-based freezing of gait (FoG) mitigation in Parkinson's disease (PD). However, real-life applications of these cues are restricted due to inconvenience to the users. Closed-loop vibrotactile cues based on temporal gait events have overcome the shortcomings of auditory and visual cueing. However, kinematic gait parameter-driven vibrotactile cueing has not been explored yet. Kinematic gait parameter-driven cueing is more effective than temporal cueing, according to FoG pathophysiology studies. Therefore, we developed and pilot-tested a novel cueing scheme in which the foot-to-ground angle at heel strike (FGA_HS) is estimated using indigenous instrumented shoes to drive vibrotactile cueing. Ten PD freezers underwent a 6-meter timed walk test in the off-medication state with and without the cue and after medication without the cue. The proposed system potentially mitigated FoG, quantified by a reduction in the ratio of time spent freezing to the total walking time and the number of FoGs. The FoG mitigation potential of the cue was further supported by increased anteroposterior center of pressure progression and FGA_HS. With a future comprehensive validation in a larger number of participants, the novel cue could likely be used in practice and commercialized.

Recent Advances in Molecular Pathways and Therapeutic Implications for Peptic Ulcer Management: A Comprehensive Review.

Peptic ulcers, recognized for their erosive impact on the gastrointestinal mucosa, present a considerable challenge in gastroenterology. Epidemiological insights underscore the global prevalence of peptic ulcers, affecting 5-10+% of individuals, with a yearly incidence of 0.3 to 1.9 cases per thousand. Recent decades have witnessed a decline in complications, attributed to improved diagnostics and therapeutic advancements. The review deepens into H. pylori-associated and NSAID-induced ulcers, emphasizing their distinct prevalence in developing and industrialized nations, respectively. Despite advancements, managing peptic ulcers remains challenging, notably in H. pylori-infected individuals facing recurrence and the rise of antibiotic resistance. The pathophysiology unravels the delicate balance between protective and destructive factors, including the intricate molecular mechanisms involving inflammatory mediators such as TNF-α, ILs, and prostaglandins. Genetic and ethnic factors, rare contributors, and recent molecular insights further enhance our understanding of peptic ulcer development. Diagnostic approaches are pivotal, with upper gastrointestinal endoscopy standing as the gold standard. Current treatment strategies focus on H. pylori eradication, NSAID discontinuation, and proton pump inhibitors. Surgical options become imperative for refractory cases, emphasizing a comprehensive approach. Advances include tailored H. pylori regimens, the emergence of vonoprazan, and ongoing vaccine development. Challenges persist, primarily in antibiotic resistance, side effects of acid suppressants, and translating natural compounds into standardized therapies. Promising avenues include the potential H. pylori vaccine and the exploration of natural compounds, with monoterpenes showing therapeutic promise. This review serves as a compass, guiding healthcare professionals, researchers, and policymakers through the intricate landscape of peptic ulcer management.

Factors associated with uptake of breast and cervical cancer screening among Nepalese women: Evidence from Nepal Demographic and Health Survey 2022.

Breast cancer screening (BCS) and cervical cancer screening (CCS) are integral parts of initiatives to reduce the burden associated with these diseases. In this context, we aimed to determine factors associated with BCS and CCS uptake among Nepalese women aged 30 to 49 years using data from the Nepal Demographic Health Survey (NDHS) 2022. We performed a weighted analysis to account complex survey design of the NDHS 2022. We employed univariable and multivariable logistic regression to determine factors associated with the uptake of BCS and CCS and results were presented as crude odds ratio and adjusted odds ratio (AOR) along with 95% confidence interval (CI). The uptake of BCS and CCS among Nepalese women aged 30 to 49 years were 6.5% and 11.4% respectively. Women from Terai compared to mountain region (AOR = 0.54, 95%CI: 0.31, 0.93) and those engaged in agriculture compared to non-working (AOR = 0.59, 95%CI: 0.42, 0.82) women had lower odds of BCS uptake. Conversely, Dalit women compared to Brahmin/Chhetri (AOR = 2.08, 95%CI: 1.37, 3.16), and women with basic (AOR = 1.49, 95%CI: 1.04, 2.13), secondary (AOR = 1.96, 95%CI: 1.33, 2.88), and higher education (AOR = 2.80, 95% CI: 1.51, 5.19) compared to those with no education had higher odds of BCS uptake. Women from rural areas (AOR = 0.76, 95%CI: 0.61, 0.96), and those living in Bagmati (AOR = 2.16, 95% CI: 1.44, 3.23) and Gandaki (AOR = 2.09, 95%CI: 1.40, 3.14) provinces had higher odds of CCS uptake compared to their urban counterparts and those living in Koshi province, respectively. The odds of CCS increased with age (AOR = 1.06, 95%CI: 1.04, 1.08). Women with secondary education (AOR = 1.47, 95%CI: 1.06, 2.04) had higher odds of CCS uptake compared to those without education. Similarly, married women (AOR = 8.24, 95%CI: 1.03, 66.21), and those with health insurance (AOR = 1.41, 95%CI: 1.08, 1.83) had higher odds of CCS. In conclusion, the uptake of both BCS and CCS was relatively poor among Nepalese women indicating a need for targeted and tailored intervention to increase BCS and CCS uptake.

Association between media exposure and maternal health service use in Nepal: A further analysis of Nepal Demographic and Health Survey-2022.

BACKGROUND: Nepal has made incremental progress in improving coverage of maternal health services leading to improved health outcomes. Government and other health sector stakeholders have consistently considered dissemination of educational messages on maternal health through mass media. However, in Nepal's context, the media's influence on the uptake of maternal health services is less known. This study examines the links between media exposure and maternal health service use in Nepal. METHOD: Our analysis is based on the nationally representative Nepal Demographic and Health Survey (NDHS) 2022 data. We analyzed data from 1933 women aged 15-49 who had given birth in the two years preceding the survey. Weight analysis was performed to account for complex survey design. We presented categorical variables as frequency, percentage, and corresponding 95% Confidence Interval (CI). Univariable and multivariable logistic regression assessed the association between media exposure and maternal health service use, and the results are presented as crude (COR) and adjusted odds ratios (AOR) along with 95% CI. RESULTS: Women exposed to internet use had 1.59 times [AOR = 1.59, 95% CI = 1.16, 2.19], and those exposed to radio and television health programs had 1.73 times [AOR = 1.73, 95% CI = 1.17, 2.56] higher odds of having four or more Antenatal Care (ANC) visits. Similarly, women exposed to mass media had 1.32 times [AOR = 1.32, 95% CI = 1.00, 1.74] and those exposed to health programs had 1.50 times [AOR = 1.50, 95% CI = 1.02, 2.21] higher odds of having an institutional delivery. However, mass media exposure, internet use, and health program exposure were not significantly associated with increased postnatal care of mother and newborn. CONCLUSION: Exposure to health programs and internet use are positively associated with four or more ANC visits. Exposure to mass media and health programs are positively associated with increased institutional delivery. Our findings imply that well-designed campaigns and awareness programs delivered through mass media platforms play a vital role in enhancing the uptake of maternal health services.

UK guideline on the transition and management of childhood liver diseases in adulthood.

INTRODUCTION: Improved outcomes of liver disease in childhood and young adulthood have resulted in an increasing number of young adults (YA) entering adult liver services. The adult hepatologist therefore requires a working knowledge in diseases that arise almost exclusively in children and their complications in adulthood. AIMS: To provide adult hepatologists with succinct guidelines on aspects of transitional care in YA relevant to key disease aetiologies encountered in clinical practice. METHODS: A systematic literature search was undertaken using the Pubmed, Medline, Web of Knowledge and Cochrane database from 1980 to 2023. MeSH search terms relating to liver diseases ('cholestatic liver diseases', 'biliary atresia', 'metabolic', 'paediatric liver diseases', 'autoimmune liver diseases'), transition to adult care ('transition services', 'young adult services') and adolescent care were used. The quality of evidence and the grading of recommendations were appraised using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. RESULTS: These guidelines deal with the transition of YA and address key aetiologies for the adult hepatologist under the following headings: (1) Models and provision of care; (2) screening and management of mental health disorders; (3) aetiologies; (4) timing and role of liver transplantation; and (5) sexual health and fertility. CONCLUSIONS: These are the first nationally developed guidelines on the transition and management of childhood liver diseases in adulthood. They provide a framework upon which to base clinical care, which we envisage will lead to improved outcomes for YA with chronic liver disease.

Automated detection of depression using wavelet scattering networks.

Today, depression is a common problem that affects many people all over the world. It can impact a person's mood and quality of life unless identified and treated immediately. Due to the hectic and stressful modern life seems to be, depression has become a leading cause of mental health illnesses. Signals from electroencephalograms (EEG) are frequently used to detect depression. It is difficult, time-consuming, and highly skilled to manually detect depression using EEG data analysis. Hence, in the proposed study, an automated depression detection system using EEG signals is proposed. The proposed study uses a clinically available dataset and dataset provided by the Department of Psychiatry at the Government Medical College (GMC) in Kozhikode, Kerala, India which consisted of 15 depressed patients and 15 healthy subjects and a publically available Multi-modal Open Dataset (MODMA) for Mental-disorder Analysis available at UK Data service reshare that consisted of 24 depressed patients and 29 healthy subjects. In this study, we have developed a novel Deep Wavelet Scattering Network (DWSN) for the automated detection of depression EEG signals. The best-performing classifier is then chosen by feeding the features into several machine-learning algorithms. For the clinically available GMC dataset, Medium Neural Network (MNN) achieved the highest accuracy of 99.95% with a Kappa value of 0.999. Using the suggested methods, the precision, recall, and F1-score are all 1. For the MODMA dataset, Wide Neural Network (WNN) achieved the highest accuracy of 99.3% with a Kappa value of 0.987. Using the suggested methods, the precision, recall, and F1-score are all 0.99. In comparison to all current methodologies, the performance of the suggested research is superior. The proposed method can be used to automatically diagnose depression both at home and in clinical settings.

Surgical and Endoscopic Intervention for Chronic Pancreatitis in Children: The Kings College Hospital Experience.

Paediatric chronic pancreatitis (CP) is a rare and debilitating pathology that often requires invasive diagnostics and therapeutic interventions either to address a primary cause such as a pancreaticobiliary malunion or to deal with secondary complications such as chronic pain. Endoscopic retrograde cholangiopancreatography (ERCP) and endoscopic ultrasound (EUS) are two endoscopic modalities that have an established diagnostic role in paediatric CP, and their therapeutic utilisation is increasing in popularity. Surgical decompression of the obstructed and dilated pancreatic duct plays a role in alleviating pancreatic duct hypertension, a common association in CP. Surgery equally has a role in certain anatomical abnormalities of the pancreaticobiliary draining system, or occasionally in some CP complications such as drainage of a symptomatic pancreatic pseudocyst.

A systematic review on automatic identification of insomnia.

Insomnia is a prevalent sleep disorder characterized by difficulties in initiating sleep or experiencing non-restorative sleep. It is a multifaceted condition that impacts both the quantity and quality of an individual's sleep. Recent advancements in machine learning (ML), and deep learning (DL) have enabled automated sleep analysis using physiological signals. This has led to the development of technologies for more accurate detection of various sleep disorders, including insomnia. This paper explores the algorithms and techniques for automatic insomnia detection. Methods: We followed the recommendations given in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) during our process of content discovery. Our review encompasses research papers published between 2015 and 2023, with a specific emphasis on automating the identification of insomnia. From a se- lection of well-regarded journals, we included more than 30 publications dedicated to insomnia detection. In our analysis, we assessed the performance of various meth- ods for detecting insomnia, considering different datasets and physiological signals. A common thread across all the papers we reviewed was the utilization of artificial intel- ligence (AI) models, trained and tested using annotated physiological signals. Upon closer examination, we identified the utilization of 15 distinct algorithms for this de- tection task. Results: Result: The major goal of this research is to conduct a thorough study to categorize, compare, and assess the key traits of automated systems for identifying insomnia. Our analysis offers complete and in-depth information. The essential com- ponents under investigation in the automated technique include the data input source, objective, machine learning (ML) and deep learning (DL) network, training framework, and references to databases. We classified pertinent research studies based on ML and DL model perspectives, considering factors like learning structure and input data types. Conclusion: Based on our review of the studies featured in this paper, we have identi- fied a notable research gap in the current methods for identifying insomnia and oppor- tunities for future advancements in the automation of insomnia detection. While the current techniques have shown promising results, there is still room for improvement in terms of accuracy and reliability. Future developments in technology and machine learning algorithms could help address these limitations and enable more effective and efficient identification of insomnia. .