Seasonal malaria chemoprevention (SMC) is a World Health Organization-recommended intervention to protect children under the age of 5 in Africa's Sahel region. While SMC remains highly effective in decreasing malaria cases, implementing countries face several challenges regarding collecting quality data; monitoring coverage and compliance and overcoming delays in campaigns due to late payment to field distributors.To address these challenges, the National Malaria Control Programmes of Benin, The Gambia, Ghana and Nigeria introduced digital data collection (DDC) tools to support their SMC campaigns. To facilitate cross-country learning, this paper investigates the impact of using DDCs in SMC campaigns by comparing country responses.Country experience suggests that in comparison to paper-based data collection systems, using DDC tools help to overcome data quality and operational challenges; cloud-based features also made data more accessible. Thus, scaling up DDC tools and linking them with routine national health management systems could help generate robust evidence for malaria policy development and programming. Of note, evidence from Benin showed that using digital tools reduced the time to pay staff and volunteers by 5 weeks. In Benin's experience, DDC also offered cost benefits (1.5 times cheaper) versus the use of paper-based tools.The authors note that no application offers greater benefits than the other-countries will select a technology that best suits their needs. Several applications are currently being used and newer ones are also being developed. Another option is to develop in-house applications that can be adjusted to local health programmes.Cost-effectiveness studies to inform on whether DDCs offer cost advantages would be beneficial. More studies on DDC are needed from SMC-implementing countries to identify additional benefits and drawbacks of digital applications. These will similarly help national malaria policy and programming efforts.
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http://dx.doi.org/10.1136/bmjgh-2021-007899 | DOI Listing |
Early Interv Psychiatry
February 2025
Orygen, Parkville, Victoria, Australia.
Aim: Accurate and appropriate cognitive screening can significantly enhance early psychosis care, yet no screening tools have been validated for the early psychosis population and little is known about current screening practices, experiences, or factors that may influence implementation. CogScreen is a hybrid type 1 study aiming to validate two promising screening tools with young people with first episode psychosis (primary aim) and to understand the context for implementing cognitive screening in early psychosis settings (secondary aim). This protocol outlines the implementation study, which aims to explore the current practices, acceptability, feasibility and determinants of cognitive screening in early psychosis settings from the perspective of key stakeholders.
View Article and Find Full Text PDFJ Adv Nurs
January 2025
Nursing Science (INS), Department Public Health (DPH), Faculty of Medicine, University of Basel, Basel, Switzerland.
Aim: To implement and evaluate an Advanced Practice Nurse-led transitional care model (AdvantAGE) to reduce rehospitalisation rates in frail older adults discharged from a Swiss geriatric hospital.
Design: The study adopts an effectiveness-implementation hybrid design (Type 1) to simultaneously evaluate the effectiveness of the care model and explore the implementation process.
Methods: The primary outcome, the 90-day rehospitalisation rate, will be evaluated using a matched-cohort design with a prospective intervention group and a retrospective control group.
Aim: To discuss inter-organisational collaboration in the context of the successful COVID-19 vaccination programme in North Central London (NCL).
Design: An action research study in 2023-2024.
Methods: Six action research cycles used mixed qualitative methods.
Aust J Rural Health
February 2025
Murtupuni Centre for Rural and Remote Health, James Cook University, Townsville, Queensland, Australia.
Objective: This study aimed to explore the perspectives of healthcare professionals on the utility of sick day management plans for people with chronic kidney disease (CKD) in remote communities and collaboratively design a sick day management plan resource.
Design: This qualitative study utilised two phases of data collection: preliminary observational data and semi-structured interviews. The research design and analysis were guided by the normalisation process theory (NPT) framework, tailored for complex interventions in healthcare.
Genet Epidemiol
January 2025
Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Gene-environment interactions have been observed for childhood asthma, however few have been assessed in ethnically diverse populations. Thus, we examined how polygenic risk score (PRS) modifies the association between ambient air pollution exposure (nitrogen dioxide [NO], ozone, particulate matter < 2.5 and < 10 μm) and childhood asthma incidence in a diverse cohort.
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