Dam-mediated flooding impact on outpatient attendance and diarrhoea cases in northern Ghana: a mixed methods study

• Published in: BMC public health 2022-11, Vol.22 (1), p.1-2108, Article 2108
• Main Authors: Dotse-Gborgbortsi, Winfred, Dwomoh, Duah, Asamoah, Moses, Gyimah, Faustina Twumwaa, Dzodzomenyo, Mawuli, Li, Chengxiu, Akowuah, George, Ofosu, Anthony, Wright, Jim
• Format: Article
• Language: English
• Subjects: Ambulatory medical care; Care and treatment; Catchments; Climate; Dams; Diagnosis; Diarrhea; Diarrhoea; Disease; Earth resources technology satellites; Emergency preparedness; Environmental aspects; Epidemiology; Flood mapping; Flood predictions; Flooding; Floods; Focus groups; Geographic information systems; Ghana; Health aspects; Health care; Health care facilities; Health facilities; Health information systems; Health risk assessment; Health risks; Health services; Health services utilization; Landsat; Landsat satellites; Medical informatics; Medical personnel; Methods; Mixed methods research; MODIS; Natural disasters; Pathogens; Public health; Rain; Remote sensing; Risk factors; Satellite imagery; Seasonal variations; Sediments; Sensors; Services; Spectroradiometers; Surface water; Systematic review; Time series; Travel restrictions
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-022-14568-w

Background Floods are the most frequently occurring natural disaster and constitute a significant public health risk. Several operational satellite-based flood detection systems quantify flooding extent, but it is unclear how far the choice of satellite-based flood product affects the findings of epidemiological studies of associated public health risks. Few studies of flooding's health impacts have used mixed methods to enrich understanding of these impacts. This study therefore aims to evaluate the relationship between two satellite-derived flood products with outpatient attendance and diarrhoeal disease in northern Ghana, identifying plausible reasons for observed relationships via qualitative interviews. Methods A convergent parallel mixed methods design combined an ecological time series with focus group discussions and key informant interviews. Through an ecological time series component, monthly outpatient attendance and diarrhoea case counts from health facilities in two flood-prone districts for 2016-2020 were integrated with monthly flooding map layers classified via the Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat satellite sensors. The relationship between reported diarrhoea and outpatient attendance with flooding was examined using Poisson regression, controlling for seasonality and facility catchment population. Four focus group discussions with affected community members and four key informant interviews with health professionals explored flooding's impact on healthcare delivery and access. Results Flooding detected via Landsat better predicted outpatient attendance and diarrhoea than flooding via MODIS. Outpatient attendance significantly reduced as LandSat-derived flood area per facility catchment increased (adjusted Incidence Rate Ratio = 0.78, 95% CI: 0.61-0.99, p < 0.05), whilst reported diarrhoea significantly increased with flood area per facility catchment (adjusted Incidence Rate Ratio = 4.27, 95% CI: 2.74--6.63, p < 0.001). Key informants noted how flooding affected access to health services as patients and health professionals could not reach the health facility and emergency referrals were unable to travel. Conclusions The significant reduction in outpatient attendance during flooding suggests that flooding impairs healthcare delivery. The relationship is sensitive to the choice of satellite-derived flood product, so future studies should consider integrating multiple sources of satellite imagery for more rob