Changes in non-communicable diseases, diet and exercise in a rural Bangladesh setting before and after the first wave of COVID-19.

Prevalence of non-communicable diseases (NCDs) is high in rural Bangladesh. Given the complex multi-directional relationships between NCDs, COVID-19 infections and control measures, exploring pandemic impacts in this context is important. We conducted two cross-sectional surveys of adults ≥30-years in rural Faridpur district, Bangladesh, in February to March 2020 (survey 1, pre-COVID-19), and January to March 2021 (survey 2, post-lockdown). A new random sample of participants was taken at each survey. Anthropometric measures included: blood pressure, weight, height, hip and waist circumference and fasting and 2-hour post-glucose load blood glucose. An interviewer-administered questionnaire included: socio-demographics; lifestyle and behavioural risk factors; care seeking; self-rated health, depression and anxiety assessments. Differences in NCDs, diet and exercise were compared between surveys using chi2 tests, logistic and linear regression; sub-group analyses by gender, age and socio-economic tertiles were conducted. We recruited 950 (72.0%) participants in survey 1 and 1392 (87.9%) in survey 2. The percentage of the population with hypertension increased significantly from 34.5% (95% CI: 30.7, 38.5) to 41.5% (95% CI: 38.2, 45.0; p-value = 0.011); the increase was more pronounced in men. Across all measures of self-reported health and mental health, there was a significant improvement between survey 1 and 2. For self-rated health, we observed a 10-point increase (71.3 vs 81.2, p-value = 0.005). Depression reduced from 15.3% (95% CI: 8.4, 26.1) to 6.0% (95% CI: 2.7, 12.6; p-value = 0.044) and generalised anxiety from 17.9% (95% CI: 11.3, 27.3) to 4.0% (95% CI: 2.0, 7.6; p-value<0.001). No changes in fasting blood glucose, diabetes status, BMI or abdominal obesity were observed. Our findings suggest both positive and negative health outcomes following COVID-19 lockdown in a rural Bangladeshi setting, with a concerning increase in hypertension. These findings need to be further contextualised, with prospective assessments of indirect effects on physical and mental health and care-seeking.

An ethnographic exploration of diarrheal disease management in public hospitals in Bangladesh: From problems to solutions.

INTRODUCTION: Diarrheal disease is one of the most common causes of hospital admission globally. The barriers that influence guideline-adherent care at resource limited hospitals are poorly defined, especially during diarrheal disease outbreaks. The objective of this study was to characterize challenges faced in diarrheal disease management in resource-limited hospitals and identify opportunities to improve care. METHODS: The study was conducted during a diarrheal disease outbreak period at ten public district hospitals distributed across Bangladesh. A rapid ethnographic approach included observations and informal interviews with clinicians, staff nurses and patients. In the first phase, observations identified common and unique challenges in diarrheal management at the ten sites. In the second phase, four hospitals were purposively selected for additional ethnographic study. Systematic observations over 420 total hours were collected from patient-clinician interactions (n = 76) and informal interviews (n = 138). Applied thematic analysis identified factors that influenced hospitalbased diarrhea management. RESULTS: Normalization of guideline deviation was observed at all ten sites, including prescription of non-indicated antibiotics and intravenous (IV) fluids. Conflict between 'what should be done' and 'what can be done' was the most common challenge identified. Clinical assessments and patient treatment plans were established at admission in a median of 2 minutes (n = 76), often without a physical examination (57%; n=43/76). Factors that prevented adherence to clinical guidelines included human resource constraints, conflicts of interests, overcrowding, and inadequate hygiene and sanitation in the emergency department and wards. CONCLUSION: This study identified challenges in hospital-based management of diarrheal disease and opportunities to improve care in seemingly change-resilient hospital settings. The results reveal important areas for intervention and policy engagement that may have additive benefit for both hospitals and their patients. These interventions include targeting barriers to clean-water, sanitation and hygiene that prevent clinicians from adopting guidelines out of concern for hospital acquired infections.

Electronic decision support and diarrhoeal disease guideline adherence (mHDM): a cluster randomised controlled trial.

BACKGROUND: Acute diarrhoeal disease management often requires rehydration alone without antibiotics. However, non-indicated antibiotics are frequently ordered and this is an important driver of antimicrobial resistance. The mHealth Diarrhoea Management (mHDM) trial aimed to establish whether electronic decision support improves rehydration and antibiotic guideline adherence in resource-limited settings. METHODS: A cluster randomised controlled trial was done at ten district hospitals in Bangladesh. Inclusion criteria were patients aged 2 months or older with uncomplicated acute diarrhoea. Admission orders were observed without intervention in the pre-intervention period, followed by randomisation to electronic (rehydration calculator) or paper formatted WHO guidelines for the intervention period. The primary outcome was rate of intravenous fluid ordered as a binary variable. Generalised linear mixed-effect models, accounting for hospital clustering, served as the analytical framework; the analysis was intention to treat. The trial is registered with ClinicalTrials.gov (NCT03154229) and is completed. FINDINGS: From March 11 to Sept 10, 2018, 4975 patients (75·6%) of 6577 screened patients were enrolled. The intervention effect for the primary outcome showed no significant differences in rates of intravenous fluids ordered as a function of decision-support type. Intravenous fluid orders decreased by 0·9 percentage points for paper electronic decision support and 4·2 percentage points for electronic decision support, with a 4·2-point difference between decision-support types in the intervention period (paper 98·7% [95% CI 91·8-99·8] vs electronic 94·5% [72·2-99·1]; pinteraction=0·31). Adverse events such as complications and mortality events were uncommon and could not be statistically estimated. INTERPRETATION: Although intravenous fluid orders did not change, electronic decision support was associated with increases in the volume of intravenous fluid ordered and decreases in antibiotics ordered, which are consistent with WHO guidelines. FUNDING: US National Institutes of Health.