Floods and maternal healthcare utilisation in Bangladesh

Orderud, Hilde; Härkönen, Juho; Hårsaker, Cathrine Tranberg; Bogren, Malin

doi:10.1007/s11111-022-00410-3

Cited by 7 publications

(11 citation statements)

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“… 29 Contrary to these results, in a study utilising Department of Health Services data in Bangladesh, Orderud et al (2022) initially determined that there was a negative correlation between flooding and MHS usage. 32 However, after controlling for several variables including flood duration, mother’s age at birth, education and occupation, the researchers found no substantial effect, which they theorised was due to disaster mitigation efforts in communities that frequently flood. 32 Furthermore, Haque et al 31 found that women who had been displaced because of floods had 0.18 decreased odds of having delivered their most recent child with medical providers in comparison to women who had not been displaced.…”

Section: Resultsmentioning

confidence: 97%

“… 32 However, after controlling for several variables including flood duration, mother’s age at birth, education and occupation, the researchers found no substantial effect, which they theorised was due to disaster mitigation efforts in communities that frequently flood. 32 Furthermore, Haque et al 31 found that women who had been displaced because of floods had 0.18 decreased odds of having delivered their most recent child with medical providers in comparison to women who had not been displaced. 31 Only 16.2% of displaced mothers had delivered their most recent child in a health centre, in comparison to 59.8% of non-displaced mothers in the region.…”

Section: Resultsmentioning

confidence: 97%

“…Epidemiological study designs included: cohort (n=2), 29 30 cross-sectional (n=1) 31 and case–control (n=1). 32 …”

Section: Resultsmentioning

confidence: 99%

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Extreme weather events and maternal health in low-income and middle-income countries: a scoping review

Pappas,

Kovats,

Ranganathan

2024

BMJ Open

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BackgroundDespite global efforts to improve maternal health and healthcare, women throughout the world endure poor health during pregnancy. Extreme weather events (EWE) disrupt infrastructure and access to medical services, however little is known about their impact on the health of women during pregnancy in resource-poor settings.ObjectivesThis review aims to examine the current literature on the impact of EWE on maternal health to identify the pathways between EWE and maternal health in low-income and middle-income countries to identify gaps.Eligibility criteriaStudies were eligible for inclusion if they were published before 15 December 2022 and the population of the studies included pregnant and postpartum women (defined at up to 6 weeks postpartum) who were living in low-income and middle-income countries. The exposure of the included study must be related to EWE and the result to maternal health outcomes.Sources of evidenceWe searched the literature using five databases, Medline, Global Health, Embase, Web of Science and CINAHL in December 2022. We assessed the results using predetermined criteria that defined the scope of the population, exposures and outcomes. In total, 15 studies were included.Charting methodsWe identified studies that fit the criteria and extracted key themes. We extracted population demographics and sampling methodologies, assessed the quality of the studies and conducted a narrative synthesis to summarise the key findings.ResultsFifteen studies met the inclusion criteria. The quantitative studies (n=4) and qualitative (n=11) demonstrated an association between EWE and malnutrition, mental health, mortality and access to maternal health services.ConclusionEWE negatively impact maternal health through various mechanisms including access to services, stress and mortality. The results have demonstrated concerning effects, but there is also limited evidence surrounding these broad topics in low-resource settings. Research is necessary to determine the mechanisms by which EWE affect maternal health.PROSPERO registration numberCRD42022352915.

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Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 97%

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Extreme weather events and maternal health in low-income and middle-income countries: a scoping review

Pappas,

Kovats,

Ranganathan

2024

BMJ Open

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“…Movement restriction imposed by many government during the COVID-19 pandemic further worsen the issues of accessibility to healthcare. Poor accessibility to health services can lead to increased risk of health effects such as mental health problems, violence, maternal deaths, lower childhood vaccination coverage, and delay in health seeking in emergency situation (13,16,18,27,28).…”

Section: Discussionmentioning

confidence: 99%

Public Healthcare Deliveries during the Flood Disaster, Challenges and Way Forward: A Systematic Review

Sazali

Rahim

Lukman

et al. 2023

Preprint

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Introduction: Flood is a destructive natural disaster with severe effects on public health. While policies exist to guide public health interventions during floods, there is limited understanding of the vulnerabilities and challenges in this sector. To address this gap, this article reviews the challenges and proposes a way forward for public health interventions in flood disasters. Methodology: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was used for this review. The review involves several methodological steps, systematic searching strategies based on identification, screening, and eligibility on two established databases which are Scopus and Pubmed, followed by quality appraisal, and data extraction and inductive thematic analysis. Results: A total of 15 articles were selected in this review. Based on the thematic analysis, five themes were developed under the challenges: (1) healthcare constraint, (2) individual related, (3) health risks, (4) infrastructure condition, and (5) inadequate planning and preparedness. Further analysis of the theme has resulted in 22 subthemes. Meanwhile, another five themes were developed under the way forward, which are: (1) planning and preparedness, (2) health policy, programs, and technology, (3) training and capacity building, (4) information seeking and monitoring, and (5) government and organizational support. Subsequent analysis found 16 subthemes. Conclusion: Public health practitioner, disaster management team, and policy maker can anticipate several challenges that could arise from the flood disaster. An effective public healthcare delivery requires a coordinated response from government agencies, healthcare providers, and the affected communities, to ensure the provision of timely and appropriate healthcare services.

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“…Mothers’ age and education level were the leading factors of maternal healthcare use in these areas. A very recent study measured whether maternal healthcare utilization, both ANC and institutional delivery were affected by the natural disaster, floods [ 62 ]. Though this study found in bivariate analysis that floods have an impact on maternal healthcare usage, the multivariate analysis reveals the opposite conclusion.…”

Section: Literature Reviewmentioning

confidence: 99%

Maternal healthcare utilization in rural Bangladesh: A comparative analysis between high and low disaster-prone areas

Begum,

Hamid

2023

PLOS Glob Public Health

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This study examined the disparity in antenatal care (ANC) visits and institutional delivery between high-disaster-prone (HDP) and low-disaster-prone (LDP) areas, defined based on multi-hazards, in Bangladesh and assessed the influencing factors using Andersen’s behavioral model. In this study, cross-sectional data of 345 mothers, who had live birth the year preceding the survey, were used from the second-round multipurpose survey of a longitudinal research project conducted in May-June 2011. Hierarchical multinomial logistic and binary logistic models were respectively used to assess the determinants of ANC contacts and choice of childbirth place. We found very low utilization of 4+ ANC visits in both HDP (20%) and LDP (15%) areas. The difference is also not significant. The strong influencing factors of receiving 4+ ANC were mother’s education, household size, income, and proximity to health facility. The level of institutional delivery was also low (21%), and no significant difference between HDP (15.2%) and LDP (25.7%) was found. However, in the case of institutional delivery, significant (p-value ≤ .01) difference was found in C-section between HDP (42%) and LDP (79%). A significant (p-value ≤ .05) difference was also found in the attendance of graduate doctors/gynecologists between HDP (58%) and LDP (88%). Mothers of HDP areas were 52 percent less likely to choose institutional delivery compared to those of LDP areas. Moreover, there was 30 percent less likelihood of choosing institutional delivery with an increase in distance to the nearest health facility. Specific demand-side (e.g., awareness raising, expanding maternal voucher scheme, covering more mothers under maternal allowance, and facilitating more income-generating activities especially off-farm ones) and supply-side interventions (e.g., providing training to local traditional birth attendants, and deployment of boat-based medical teams in coastal and char areas) need to be undertaken to increase institutional delivery, especially in HDP areas. However, the ultimate solution depends on adopting long-term measures to prepare facilities ready by filling the vacant posts and reducing absenteeism. Public-private partnerships modality can also be introduced especially in the HDP areas. Policy attention is needed to introduce such interventions.

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Floods and maternal healthcare utilisation in Bangladesh

Cited by 7 publications

References 50 publications

Extreme weather events and maternal health in low-income and middle-income countries: a scoping review

Extreme weather events and maternal health in low-income and middle-income countries: a scoping review

Public Healthcare Deliveries during the Flood Disaster, Challenges and Way Forward: A Systematic Review

Maternal healthcare utilization in rural Bangladesh: A comparative analysis between high and low disaster-prone areas

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