The impact of poor nutritional health on maternal and infant morbidity and mortality remains high in low- and middle-income countries (LMICs), exacerbated by climate change-linked disasters. Maternal nutritional health, as a modifiable factor, is influenced by various social, political, economic and environmental factors, as well as cultural practices. Identifying climate change-related interventions, adaptive strategies and best practices targeting maternal nutritional health and well-being in LMICs within a cultural context helps inform the co-production of sustainable, culturally sensitive interventions to improve health outcomes for mothers and babies.

We will undertake a systematic review of the literature employing the six steps of the Protocol, Search, Appraisal, Synthesis, Analysis and Report (PSALSAR) framework, including both peer-reviewed and grey literature. The Population, Concept and Context approach will be used to formulate the review question and the inclusion and exclusion criteria. We will include primary research comprising all study designs published in English from 2007 onwards. We will conduct searches in online academic databases, including CINAHL, MEDLINE, Global Health (CABI), AGRIS (FAO) and SCOPUS, as well as defined grey literature sources (ie, Google Scholar). Titles, abstracts and later full-text articles will be independently accessed and screened for eligibility criteria by four researchers. Following the integrative review methodology, we will present findings narratively, organised around the components of the PSALSAR framework to provide a comprehensive synthesis of the available evidence.

As no primary data will be collected, the systematic review does not require formal ethics approval. However, we will give attention to ethical considerations within the identified studies. Findings will be published in a peer-reviewed journal and presented at relevant conferences. The findings of our systematic review and the ethnographic component of our research project will inform the development of appropriate maternal nutritional health interventions using co-production methodology in Pakistan.

CRD420251080897.

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.