Conectar
by Muhammad Syafiq Kunyahamu, Aziah Daud, Ijlal Syamim Mohd Basri, Tengku Alina Tengku Ismail, Mohd Faiz Md Tahir
IntroductionMental health problems among health workers are a growing concern globally, including in Malaysia. Despite the availability of mental health services, some health workers do not seek professional help. This study aims to determine the level of health workers’ intention to seek professional help, examine the barriers they perceive, and identify predictors of mental health help-seeking intention.
MethodsThis cross-sectional study involved 470 health workers in the East Coast region of Peninsular Malaysia. Data was collected using a self-administered questionnaire. Linear regression analysis was employed to identify the predictors of professional help-seeking intention.
ResultsThe mean score for mental health help-seeking intention was 4.90 (SD = 1.03). Perceived need for help positively predicted help-seeking intention (B = 0.532, p Conclusions
This study highlights the roles of the perceived need for help and perceived stigma barriers in predicting health workers’ help-seeking intentions, offering a basis for targeted interventions and policies to enhance mental health support within Malaysian healthcare settings.
by Chanseo Lee, Jaihyoung Lee, Kimon-Aristotelis Vogt, Muhammad Munshi
BackgroundAccurate intraoperative detection of nociceptive events is essential for optimizing analgesic administration and improving postoperative outcomes. Although deep learning approaches promise improved modeling of complex physiologic dynamics, their added computational and operational complexity may not translate into clinically meaningful benefit, particularly in small, high-resolution perioperative datasets.
MethodsWe performed a head-to-head evaluation of classical supervised models (L1-regularized logistic regression and 50-, 200-tree Random Forests, with and without drug dosing features) against a Temporal Convolutional Network (TCN) transfer-learning framework for intraoperative nociception detection. Using 101 adult surgical cases with 30 physiologic and 18 drug dosing features sampled in 5-second windows, models were assessed under leave-one-surgery-out cross-validation using AUROC and AUPRC. We further examined probability calibration, multiple ensemble strategies, permutation importance features, and computational cost in terms of inference operations and memory footprint.
ResultsDrug-aware Random Forests of various trees (50 trees vs. 200 trees) achieved the highest discrimination (AUROC 0.716; AUPRC 0.399), outperforming the TCN transfer-learning model (AUROC 0.649; AUPRC 0.311). However, increasing personalization windows in the TCN yielded inconsistent and modest gains (p > 0.05). Isotonic calibration substantially improved probability calibration but did not affect discrimination. No ensemble method surpassed the standalone Random Forest; the gated network consistently assigned >84% weight to the classical model. Computational analysis revealed that while the TCN was more compact in total memory footprint, the smaller, 50-tree Random Forest inference required two orders of magnitude fewer operations, with faster training and lower operational complexity.
ConclusionsIn this clinically realistic benchmark, interpretable classical models operating on well-engineered features without personalization matched or exceeded the performance of a personalized deep learning approach while remaining computationally cheaper and simpler to deploy. These findings underscore the importance of rigorously justifying model complexity in perioperative machine learning and suggest that, for intraoperative nociception monitoring, classical approaches may offer a more favorable balance of accuracy, interpretability, and operational efficiency.
by Md. Masud Reza, Hasibul Hasan Shanto, Samira Dishti Irfan, A. K. M. Masud Rana, Mohammad Niaz Morshed Khan, Golam Sarwar, Mohammad Sha Al Imran, Mahbubur Rahman, Md. Safiullah Sarker, Muntasir Alam, Md. Abu Hena Chowdhury, Mustafizur Rahman, Sharful Islam Khan
BackgroundUnintended pregnancy among female sex workers (FSW) is a pressing reproductive health concern attributable to risky sexual behaviors, healthcare inequities and poor negotiation powers with male sex partners. However, evidence is scarce on the prevalence and determinants of unintended pregnancies among FSW, which is crucial for enhancing reproductive healthcare. This analysis aims to measure the prevalence of lifetime unintended pregnancies and their associated factors.
MethodsA cross-sectional study was conducted on 327 FSW in Jashore (a border belt district of Bangladesh) from September 2022 to March 2023. Participants were recruited through take-all sampling. Data were collected on the lifetime history of unintended pregnancies and other relevant variables through face-to-face interviews. Chi-square statistic was used to compare the characteristics of FSW reporting unintended pregnancies. To assess the net association of factors associated with unintended pregnancy, multiple logistic regression was applied.
ResultThe lifetime prevalence of unintended pregnancies was reported at 75.8% (95%CI: 71.0–80.1). Among those who reported unintended pregnancies, 37.1% (95%CI: 30.8–43.8) had no education, 39.9% (95%CI: 32.8–47.5) were 25–34 years old, 49.6% (95%CI: 39.3–59.9) were currently married and 62.9% (95%CI: 49.7–74.4) earned ≤10,000 BDT per month compared to those who did not report lifetime unintended pregnancies. The likelihood of unintended pregnancies was significantly higher among those who reported having sex with non-transactional male sex partners (AOR: 2.4, 95%CI: 1.1–5.3, p = 0.036) than those who never had sex with any non-transactional male sex partner. The likelihood was also higher among those who reported rape in their lifetime (AOR: 2.0, 95%CI: 1.0–3.8, p = 0.037) and who self-reported mental health problems (AOR: 2.1, 95%CI: 1.0–4.2, p = 0.045) within the past year, compared to their counterparts.
ConclusionThis study highlights the considerable prevalence and associated determinants of unintended pregnancies among FSW in Jashore. These determinants need to be considered to strengthen reproductive healthcare interventions and policies for FSW. Reproductive health of FSW cannot be improved unless these factors are addressed in the ongoing interventions.
by Fahad Saleem, Fazal ur Rehman Khilji, Sajjad Haider, Qaiser Iqbal, Baharudin Ibrahim, Fatiha Hana Shabaruddin, Mohammad Bashaar
Terrorism-related disasters (TRDs) continue to exert profound and recurring pressures on healthcare systems, particularly in vulnerable regions like Pakistan. Although pharmacists are increasingly recognized as an essential component of disaster management, there is a clear gap in the literature regarding their preparedness, experience, and specific roles in responding to TRDs particularly in low and middle-income countries. This study aimed to explore the preparedness, experiences, and response strategies of pharmacists managing TRDs at the Trauma Centre of Sandeman Provincial Hospital, Quetta, Pakistan. A qualitative design was adopted, guided by the Consolidated Criteria for Reporting Qualitative Research. Semi-structured, face-to-face interviews were conducted with pharmacists (n = 10) providing services at the Trauma Centre. Data were audio-recorded, transcribed verbatim, validated by participants, and analyzed using thematic content analysis. Analysis revealed five overarching themes: (1) pharmacists’ experiences with terrorism-related incidents and existing response mechanisms; (2) professional and personal responses to emergencies, reflecting both commitment and psychological burden; (3) preparedness challenges, including lack of disaster management training, limited awareness of policies and protocols, and inadequate understanding of triage and coordination; (4) barriers such as security risks, pharmacy curriculum deficiencies, insufficient experiential learning, and minimal involvement in planning and management activities; and (5) recommendations for strengthening capacity, including revising curricula, implementing structured training programs, conducting regular disaster drills, and expanding pharmacists’ roles in preparedness and response. Findings revealed a pronounced lack of formal training in disaster management, limited awareness of protocols and triage systems, and minimal involvement of pharmacists in planning and coordination activities. Despite strong professional commitment and frontline engagement, pharmacists’ contribution remain constrained by educational, structural, and policy-level shortcomings. The study highlights the urgent need for integrating disaster management into pharmacy curricula, implementing structured training programs and regular disaster drills, and expanding pharmacists’ roles within institutional and national disaster preparedness frameworks.by Nurdiana Mohammad Hussin, Nik Ruzyanei Nik Jaafar, Idayu Badilla Idris, Azmawati Mohammed Nawi
Individuals with breast cancer (BC) experience significant psychological distress, yet their utilization of mental health services remains low. This study identified key factors influencing help-seeking behavior through integrated Theory of Planned Behavior (TPB) and Health Belief Model (HBM) frameworks. We conducted in-depth interviews (IDIs) with eight BC patients and nominal group technique (NGT) with six health professionals, followed by Fuzzy Delphi Method (FDM) to assess expert consensus. The IDIs revealed that the individuals with BC recognized the value of professional psychological support but were reluctant to engage with these services personally. The participants identified emotional thresholds for help-seeking, expressed preference for informal support networks, and demonstrated varied understanding of mental health professional roles. The FDM evaluation demonstrated strong expert consensus across all assessed elements, particularly those related to emotional support mechanisms. Three barrier categories emerged: individual factors (mental health literacy, autonomy preferences), social factors (family support, cultural stigma), and systemic factors (healthcare integration gaps). Expert consensus exceeded 80% agreement across all domains.This study identified a complex interplay between individual psychological barriers and systemic factors affecting mental health help-seeking among individuals with BC. Effective interventions must address psychological barriers and healthcare delivery factors while respecting individual autonomy in coping choices. A multi-level approach targeting individual education, family support systems, and healthcare integration is recommended to improve mental health service utilization among individuals with BC.by Afsana Anwar, Mahmood Parvez, Farhan Azim, Uday Narayan Yadav, Saruna Ghimire, Ateeb Ahmad Parray, Shovon Bhattacharjee, ARM Mehrab Ali, Rashidul Alam Mahumud, Md Irteja Islam, Md Nazmul Huda, Mohammad Enamul Hoque, Probal Kumar Mondal, Abu Ansar Md Rizwan, Suvasish Das Shuvo, Sabuj Kanti Mistry
BackgroundFrailty and disability often emerge with ageing and affect quality of life. Older adults residing in Rohingya refugee camp in Bangladesh are particularly susceptible to frailty and disability due to adverse physical and social environment along with limited health and social care services available in the camp. This study aimed to investigate the prevalence and factors associated with frailty and disability among Rohingya older adults living in Bangladesh.
MethodsThis cross-sectional study was conducted among older adults aged ≥60 years residing in the Rohingya refugee settlement in Bangladesh. The primary outcomes were frailty and disability, explored using the ‘Frail Non-Disabled (FiND) questionnaire. Data were collected face-to-face during November-December 2021, using a semi-structured questionnaire. A multinomial logistic regression model was used to identify the factors associated with frailty and disability.
ResultsThe majority of participants (n = 864) were aged 60–69 years (72.34%), male (56.25%), married (79.05%), and without formal education (89.0%). The study revealed a high prevalence of frailty (36.92%) and disability (55.21%) among the participants. The multinomial regression analysis showed that the likelihood of experiencing disability was significantly higher among participants who were aged 70–79 years (RRR = 2.65, 95% CI: 1.25, 5.66) and ≥80 years (RRR = 8.06, 95% CI: 1.05, 61.80), were female (RRR = 3.93, 95% CI: 1.88, 8.1.9), had no formal education (RRR = 4.34, 95% CI: 2.19, 8.63), were living in a large family (RRR = 1.82, 95% CI: 1.05, 3.18) and were suffering from non-communicable diseases (RRR = 2.36, 95% CI: 1.32, 4.22) compared to their respective counterparts. The regression analysis also revealed that frailty was significantly higher among participants who were female (RRR = 2.82, 95% CI: 1.34, 5.94), were suffering from non-communicable diseases (RRR = 2.28, 95% CI: 1.27, 4.09), and had feeling of loneliness (RRR = 2.16, 95% CI: 1.11, 4.22).
ConclusionsThe findings underscore the need for long-term care and health promotion activities to alleviate the burden of frailty and disability among older adults in humanitarian settings. Efforts should particularly target the most vulnerable groups- older individuals (≥80 years), women, those without formal education, those living in large families, and those with non-communicable diseases.
by Yeahyea Ahmed, Md Abdullah Saeed Khan, Laila Afroz, Mohammad Nurunnabi, Md Golam Abbas
BackgroundStreet adolescents often engage in early sexual activity, have multiple partners, and are at high risk of sexual abuse and exploitation. Despite the significance of this issue, there is a critical gap in understanding the sexual and reproductive health (SRH) needs, practices, and challenges of this marginalized population in Bangladesh, which this study aimed to explore.
MethodsA cross-sectional study was conducted from August to December 2023, involving 311 street adolescents aged 16–19 years in Sylhet City Corporation, Bangladesh. Data were collected through face-to-face interviews using a semi-structured questionnaire. The questionnaire covered sociodemographic characteristics, pubertal changes, SRH status, and SRH-seeking behaviors.
ResultsOf all participants, 62.8% were males and 37.2% were females, with a mean age of approximately 17.3 years for both sexes. Sexual intercourse was reported by 32.56% of participants, with a significant gender disparity (76.79% females vs. 6.35% males, p Conclusion
Street adolescents in Sylhet City face severe SRH challenges, including high rates of sexual abuse, low contraceptive use, and limited STD knowledge, with significant gender disparities, which should be addressed through appropriate and urgent interventions.
by Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych
Large Language Models (LLMs) have ushered in a transformative era in Natural Language Processing (NLP), reshaping research and extending NLP’s influence to other fields of study. However, there is little to no work examining the degree to which LLMs influence other research fields. This work empirically and systematically examines the influence and use of LLMs in fields beyond NLP. We curate 106 LLMs and analyze ∼148k papers citing LLMs to quantify their influence and reveal trends in their usage patterns. Our analysis reveals not only the increasing prevalence of LLMs in non-CS fields but also the disparities in their usage, with some fields utilizing them more frequently than others since 2018, notably Linguistics and Engineering together accounting for ∼45% of LLM citations. Our findings further indicate that most of these fields predominantly employ task-agnostic LLMs, proficient in zero or few-shot learning without requiring further fine-tuning, to address their domain-specific problems. This study sheds light on the cross-disciplinary impact of NLP through LLMs, providing a better understanding of the opportunities and challenges.by Thea Lynne Hedemann, Yun Lu, Sofia Campitelli, Lisa D. Hawke, Nelson Shen, Sarah Saperia, Brett D. M. Jones, Gillian Strudwick, Chelsey R. Wilks, Wei Wang, Marco Solmi, Michael Grossman, Muhammad Ishrat Husain, Nicole Kozloff, George Foussias, Muhammad Omair Husain
BackgroundYouth at clinical high risk (CHR) for psychosis often experience emotional dysregulation, psychiatric symptoms, substance use, suicidality, and functional impairment. Dialectical behaviour therapy (DBT) is an evidence-based intervention that improves emotion regulation, clinical outcomes, and functioning across psychiatric populations. Digital adaptations (d-DBT) may enhance accessibility and engagement for CHR youth, but acceptability and potential benefits in this group are unknown.
ObjectiveTo adapt d-DBT for CHR youth and evaluate the acceptability of delivering it to this population, as well as the feasibility of a larger-scale clinical trial.
MethodsThis mixed-methods clinical trial has two phases. In Phase 1, d-DBT will be adapted for CHR youth in collaboration with a lived-experience youth advisory group. In Phase 2, an assessor-masked randomized controlled trial will compare d-DBT (n = 30) with treatment as usual (n = 30). The intervention consists of eight weekly modules, with primary outcomes assessing acceptability, usability, and trial feasibility. Secondary outcomes include changes in emotional dysregulation, psychiatric symptoms, substance use, suicidality, and functioning.
ConclusionsWe anticipate that d-DBT will be acceptable to CHR youth and that conducting a larger trial will be feasible. Preliminary findings may demonstrate improvements in emotion regulation, psychiatric symptoms, suicidality, and functioning. Results will guide further refinement of the intervention and inform the design of a confirmatory clinical trial.
Trial registrationClinicalTrials.gov #NCT06928935
by Maha Rabayaa, Mustafa Ghanim, Malik Alqub, Mohammad Abuawad, Majdi Dwikat, Samar Alkhaldi, Haneen Badawi, Johnny Amer
IntroductionAllergy is a form of chronic illness with an increasing prevalence globally. Adequate knowledge among the community about the causes, symptoms, and treatment of allergy is crucial in preventing the associated life-threatening complications. Limited research has been conducted in Palestine regarding this health priority. The current study aimed to assess the Palestinian community’s level of knowledge regarding allergy.
MethodsAn observational cross-sectional study was conducted using an online questionnaire targeting Palestinians aged 18 years and older between 1 June 2024 and 26 January 2025. The questionnaire gathered demographic information about the participants and assessed their knowledge level concerning allergy.
ResultsA total of 1002 participants were included in the study. The mean age of the participants was 30.33 years. 66.1% of the participants were females, 60.2% were unmarried, 60.1% had possessed a bachelor’s degree, 63.1% had a personal history of allergy, and 82% reported knowing of someone with allergies. The mean knowledge score about allergies was 5.4 out of 10, with over half of the participants having an average level of knowledge (4–6). The knowledge score about allergies was significantly different based on the participants’ sex, marital status, place of residence, educational level, and occupation (p-value Conclusion
The Palestinians’ knowledge of allergy is considered good regarding its common causes and symptoms. However, there is still inadequate knowledge about the treatment of allergy and its less common causes. The community awareness of allergy should be improved through targeted campaigns and brochures aimed at achieving earlier diagnosis and proper management to prevent the development of life-threatening complications.
by Cindy Xinyu Ji, Majid Sorouri, Mohammad Abdollahi, Omalbanin Paknejad, Ali R. Mani
Network physiology is a multidisciplinary field that offers a comprehensive view of the complex interactions within the human body, emphasising the critical role of organ system connectivity in health and disease. This approach has the potential to provide pathophysiological insights into complex and emerging diseases. This study aims to evaluate the effectiveness of physiological network mapping in predicting outcomes for COVID-19 patients, using data from the first wave of the pandemic. Routine clinical and laboratory data from 202 patients with COVID-19 were retrospectively analysed. Twenty-one physiological variables representing various organ systems were used to construct organ network connectivity through correlation analysis. Parenclitic network analysis was also employed to measure deviations in individual patients’ organ system correlations from the reference physiological interactions observed in survivors. We observed distinct features in the correlation network maps of non-survivors compared to survivors. In non-survivors, there was a significant correlation between the level of consciousness and the liver enzyme cluster, a relationship not present in the survivor group. This relationship remained significant even after adjusting for age and degree of hypoxia. Additionally, a strong correlation along the BUN–potassium axis was identified in non-survivors, suggesting varying degrees of kidney damage and impaired potassium homeostasis in non-survivors. These findings highlight the potential of network physiology as a valuable tool for uncovering complex inter-organ interactions in emerging diseases, with applications that could support clinicians, researchers, and policymakers in future epidemics.by Soha Albeitawi, Mohammad Talal Al-zubi, Anas Aljaiuossi, Murad Shatnawi, Ahlam Al-Kharabsheh, Fadi Sawaqed, Emad Aborajooh, Walid I. Wadi, Randa Mahasneh, Benjamin Rowland Colton, Mohammad AlQudah, Tamara Kufoof, Fida Asali, Ahmed Sheyyab, Monther A. Gharaibeh, Motasem Al-latayfeh, Enas Al-Zayadneh, Eman Badran, Yaser M. Rayyan, Kais Al Balbissi, Raed Al-Taher, Asma Basha, Rola Saqan, Ashraf Omar Oweis, Wafa Taher, Shadi Hamouri
BackgroundClinical preceptors serve as vital educators, so it is essential to enhance their effectiveness by developing a competency-based development program. In this study, we explored the challenges faced by preceptors and students, and measured the educational needs of preceptors, to inform the design of a syllabus for a preceptor development program.
MethodsThis was a sequential multi method study utilizing a structured questionnaire survey and focus group discussions among a representative sample of medical students in their fourth, fifth, and sixth years in addition to preceptors from the six public medical schools in Jordan.
ResultsThematic analysis of focus group discussions revealed six themes: admission policy, training environment, curriculum gaps, trainers and mentorship, learners, and dissemination. The most important training needs documented by preceptors were teaching in the clinical setting, mentoring skills, simulation, assessment in the clinical setting, and providing feedback. Accordingly, a competency-based preliminary syllabus was developed.
ConclusionIt is essential to enrich the skills of preceptors regularly based on a needs assessment. Further long term studies are required to investigate the effectiveness of the proposed syllabus after implementation.
by Dwi Sisca Kumala Putri, Kencana Sari, Nur Handayani Utami, Nazarina Nazarina, Tiara Amelia, Nadira Yuthie Salwa, Ning Sulistiyowati, Adindra Vickar Ega, Muhammad Azzumar, Rika Rachmawati, Salimar, Mieska Despitasari, Donny Kristanto Mulyantoro
BackgroundMobile Health (mHealth) Applications offer a promising approach to promote the adoption of healthy nutrition and behavior among adolescent girls. A tailored mobile app, Teen ‘n Fit, was developed to support adolescent girls in Indonesia to assess their nutritional status, physical activity, and eating behavior; as a nutrition education media; and as a reminder of iron folic acid consumption. However, it is essential to measure the app’s usability prior to the release.
ObjectiveThis study aimed to measure the usability of a mobile application designed to promote nutrition and healthy behavior of adolescent girls by modifying the mHealth App Usability Questionnaire (MAUQ).
MethodsA cross-sectional usability study was conducted on 64 adolescent girls aged 15–18 from a public high school in Depok, Indonesia. Participants completed app-based tasks and filled out a post-task usability questionnaire. The usability questionnaire was adapted from a validated MAUQ for a standalone mHealth app. The exploratory factor analysis was conducted to determine the items constituting each component in the modified MAUQ. Mann-Whitney analysis was employed to analyze the difference in usability score means based on participants’ characteristics.
ResultsThe modified MAUQ demonstrated strong reliability (Cronbach’s alpha = 0.945). The app achieves a strong usability score, 6.0 ± 0.8 out of 7, with 79.7 percent of participants reporting no prior mHealth experience. The score among participants who occasionally used mHealth applications was higher (p = 0.046) than those who had never made prior use.
ConclusionThe findings indicate strong usability potential of Teen ‘n Fit as a digital health promotion tool for adolescent girls; however, future efforts in conducting effectiveness tests and maintaining user engagement are needed.
by Koorosh Nikaein, Zahra Kanannejad, Mohammad Amin Ghatee
The COVID-19 pandemic has had a devastating impact worldwide, with Iran being one of the hardest-hit countries in the Middle East. Understanding the factors that influence the spread of the virus is crucial for developing effective mitigation strategies. This study aims to investigate the geographical and climatic risk factors associated with COVID-19 incidence in the Kohgiluyeh and Boyer-Ahmad Province of southwest Iran during the 2020−2021 epidemic period. The study involved mapping the residential addresses of 15,585 patients with COVID-19 during 2020–2021. Geographical Information System (GIS) evaluated the effects of geographical and climatic determinants, including temperature, rainfall, humidity, evaporation, elevation, slope, and land cover, on COVID-19 occurrence. The data were analyzed using univariate and multivariate binary logistic regression. In the univariate model, significant climatic factors affecting COVID-19 susceptibility included elevation (p
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