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Barriers and facilitators to the utilisation of point-of-use water treatment systems during and immediately following flood-related disasters: a scoping review protocol

Por: Johnson · R. · Shank · S. E. · Aaltonen · P. M. · Blatchley · E. R. · Payne · L. · Simpson · V. · Bhadelia · A.
Introduction

The United Nations (UN) Sustainable Development Goal 6 seeks to ensure universal access to safe drinking water by 2030, but vast inequities in access exist, especially among vulnerable communities including limited resource, rural, disaster-affected areas. Flood disasters, exacerbated by the climate crisis, hinder the ability of individuals and families to meet essential drinking water needs and increase their susceptibility to waterborne illnesses. Point-of-use (POU) water treatment is an effective solution for water-insecure populations during and immediately following flood emergencies. However, an initial literature search identified knowledge gaps surrounding implementation of POU water systems. This scoping review aims to synthesise published evidence between January 2015 and July 2025 on barriers and facilitators to utilisation of POU water treatment systems during and immediately following flood-related disasters. The findings will inform efforts to promote resilience and agency among water insecure communities, specifically by equipping them with actionable knowledge on sustainable access to safe drinking water.

Methods and analysis

This scoping review will be guided by the work of Arksey and O’Malley and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews. Search terms will be identified through an iterative process using the PICOT method and Boolean logic. Four databases—Scopus, PubMed, Web of Science and Google Scholar—with the addition of grey literature from UN agencies and non-governmental organisations focused on water-related issues will be searched. Two independent reviewers will apply a priori eligibility criteria to select studies. Conflicts will be resolved through discussion and a third independent reviewer absent agreement between the first two reviewers. Cohen’s kappa statistic will be calculated to assess inter-rater reliability. Data extraction will be guided by predefined data points, and the Consolidated Framework for Implementation Research will guide evidence synthesis through a solution-based approach.

Ethics and dissemination

Institutional research ethics review is not required because no human subjects are involved. Findings will be disseminated through a peer-reviewed publication, a policy brief, conference presentations and infographics for use by organisations serving flood disaster impacted communities.

Deconstructing resuscitation training for healthcare providers: a protocol for a component network meta-analysis

Introduction

The necessity of enhancing resuscitation training has been encouraged by The International Liaison Committee on Resuscitation and the American Heart Association to reduce mortality, disability and healthcare costs. Resuscitation training is a complicated approach that encompasses various components and their mixture. It is essential to identify the most effective of these components and their combinations, to measure the corresponding effect size and to understand which participant groups may enjoy the greatest advantage.

Methods and analysis

We will systematically search 12 databases and two clinical trial registries for randomised controlled trials (RCTs) that examine different resuscitation training methods from inception to April 2025. The analysis will be carried out using the standard network meta-analysis and component network meta-analysis models. Resuscitation skills of staff will be the primary outcome of this analysis. Paired reviewers will independently screen and extract data. A consensus will be sought with the principal investigators to resolve any disagreements that cannot be achieved through regular meetings. Each intervention in each RCT will be decomposed according to its constituent components, such as delivery method, interactivity, teamwork, digitalisation and type of simulator. The analysis will be conducted using the frequentist and bayesian approach in the R environment. RoB V.2.0 and Confidence in Network Meta-Analysis will, respectively, be used to assess the risk of bias and the certainty of the evidence.

Ethics and dissemination

As we will use only aggregated secondary data without individual identities, ethical approval is not required. Results of this review will be shared through a peer-reviewed publication and presentation of papers at any relevant conferences.

PROSPERO registration number

CRD42024532878

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