South Asia carries the burden of a rapidly changing climate with floods and extreme heat. These disasters further translate into mental health distress, financial stress and detrimental effects on well-being, with women being the most vulnerable. This study aims to demonstrate that mental health screening, referral and resilience-building group sessions can be successfully administered by community health workers and primary health facility staff in a flood-affected rural population of women in Pakistan and provide evidence on the effectiveness of this approach for improving their mental health status.
A quasi-experimental design with a comparison group will be used for the study, preceded by a formative phase. The formative phase evaluated the feasibility of mental health screening by Lady Health Workers (LHWs) in flood-affected areas using a qualitative approach such as focus group discussions and in-depth interviews. Manuals developed by the study team of mPareshan will be used to train LHWs, Lady Health Supervisors (LHS) and health facility staff. Following this, LHWs will briefly screen women aged 18 to 49 years, administer awareness-raising and resilience-building sessions and refer women who screen positive for depression or anxiety to a primary health facility. Physicians at the health facility will confirm the diagnosis and provide counselling to mild-moderate cases, while severe cases would be referred to specialists. Statistical evaluation of quantitative data and thematic content analysis of qualitative data will be conducted to assess the feasibility and impact of the intervention. This trial is registered at clinicaltrials.gov with number NCT06756165.
The study acquired ethical approval from the Ethical Review Committee at Aga Khan University (2024-10475-30776) and the National Bioethics Committee (4-87/NBC-1158/23/481) in Islamabad. Approval was obtained from relevant provincial authorities. The trial will adhere to the ethical principles of autonomy, anonymity, confidentiality, equity and respect. All eligible participants will be provided with informed consent, details regarding the purpose and procedure of the study, and the right to withdraw at any time. Data and information will be anonymised and stored securely. Dissemination of the results of the trial will occur after its completion to stakeholders, participants and the public.
The improved survival rates of children with cancer have heightened concerns about treatment-related chronic health conditions, including platinum-induced hearing loss (PIHL). Cisplatin and carboplatin, widely used in paediatric cancer therapies, frequently cause irreversible sensorineural hearing loss. PIHL affects 1.7–90.1% of patients exposed to these drugs, yet known risk factors—including age, cisplatin dosage, cranial radiation and co-treatment with ototoxic drugs—fail to fully explain interindividual variability. Genetic factors likely play a role in susceptibility to PIHL. Since genetic susceptibility in children may differ from adults, and given the critical window of auditory development, a focused investigation of paediatric genetic factors using quantitative methods is warranted to detect small to moderate effects and understand the polygenic nature of PIHL.
In this study, we will systematically review and conduct a meta-analysis of genetic polymorphisms associated with PIHL in individuals diagnosed before the age of 21 years. Following Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines, the review will include randomised controlled trials, cohort, case-control and cross-sectional studies that analyse the genetic influence on PIHL in paediatric populations treated with cisplatin and carboplatin. A comprehensive search of PubMed, EMBASE and Cochrane databases will be conducted, supplemented by backward citation searching. Data will be extracted on study design, treatment details, hearing loss assessment methods, genetic findings and covariates. We will use forest plots to present the results, and both Mantel-Haenszel fixed-effects model and random-effects model will be used for meta-analysis. Heterogeneity will be assessed with the I² index. The study will address potential heterogeneity, individual study quality, proportion of missing data and meta-analysis bias. The quality of the evidence of the meta-analysis will be assessed using the Grading quality of evidence and strength of Recommendations (GRADE) approach.
This systematic review will enhance our understanding of the genetic contribution to PIHL in children and serve as a basis for further research for improvement of personalised treatment strategies for paediatric cancer care.
CRD42024532664.
All the included patient’s data are already published with an ethics approval for each study, respectively. No original data will be collected.
In critical care, intensive care unit (ICU) staff and physicians often estimate patients' height and weight visually, impacting calculations for cardiac function, ventilation, medication, nutrition and renal function. However, accurate assessment is challenging in critically ill patients. This study evaluates the accuracy of visual estimations by ICU staff.
Descriptive cross-sectional study.
National Institute of Cardiovascular Diseases, Karachi, Pakistan.
We included a convenient sample of adult (≥18 years) cardiac patients admitted to the critical care unit in this study. Patients who refused to give consent, trauma/surgery of lower limbs or patients with below-knee or above-knee amputation were excluded to avoid bias.
A convenient sample of cardiac ICU patients was included. Measured weight (kg) and height (cm) were compared with visual estimations by senior ICU nurse, senior non-ICU nurse, ICU consultants, fellows and residents. Correlation and agreement were analysed using Bland–Altman plots and 95% agreement limits.
A total of 356 patients were evaluated, of whom 204 (57.3%) were male, with a mean age of 55.2 ± 14.3 years. The median SOFA score was 3 [2–5], and 101 patients (28.4%) were on mechanical ventilation. The mean difference between measured and estimated weight by senior non-ICU nurse was 4.7±9.2 [–13.38–22.83] kg, senior ICU nurse was 7.8±9.9 [–11.56–27.12] kg, ICU consultants was 3.0±6.6 [–9.89–15.79] kg, ICU fellow was 3.0±7.1 [–10.88–16.92] kg and ICU resident was 8.0±9.6 [–10.83–26.79] kg. Similarly, the mean difference between measured and estimated height by senior non-ICU nurse was 2.0±7.3 [-12.36–16.34] cm, senior ICU nurse was 2.4±7.5 [–12.19–17.00] cm, ICU consultants was 1.5±5.6 [–9.51–12.48] cm, ICU fellow was 1.1±5.5 [–9.68–11.95] cm and ICU resident was 2.3±8.5 [–14.40–19.01] cm.
The findings indicate that healthcare professionals tend to overestimate both weight and height. The accuracy of these estimations varied among professional groups, underscoring the potential clinical consequences of such errors. This emphasises the need for objective measurements in clinical decision-making.