Introduction: Undernutrition affects ∼165 million children globally and contributes up to 45% of all child deaths. India has the highest proportion of global undernutrition-related morbidity and mortality. This protocol describes the planned economic evaluation of a community-based intervention to improve growth in children under 2 years of age in two rural districts of eastern India. The intervention is being evaluated through a cluster-randomised controlled trial (cRCT, the CARING trial).
Methods And Analysis: A cost-effectiveness and cost-utility analysis nested within a cRCT will be conducted from a societal perspective, measuring programme, provider, household and societal costs. Programme costs will be collected prospectively from project accounts using a standardised tool. These will be supplemented with time sheets and key informant interviews to inform the allocation of joint costs. Direct and indirect costs incurred by providers will be collected using key informant interviews and time use surveys. Direct and indirect household costs will be collected prospectively, using time use and consumption surveys. Incremental cost-effectiveness ratios (ICERs) will be calculated for the primary outcome measure, that is, cases of stunting prevented, and other outcomes such as cases of wasting prevented, cases of infant mortality averted, life years saved and disability-adjusted life years (DALYs) averted. Sensitivity analyses will be conducted to assess the robustness of results.
Ethics And Dissemination: There is a shortage of robust evidence regarding the cost-effectiveness of strategies to improve early child growth. As this economic evaluation is nested within a large scale, cRCT, it will contribute to understanding the fiscal space for investment in early child growth, and the relative (in)efficiency of prioritising resources to this intervention over others to prevent stunting in this and other comparable contexts. The protocol has all necessary ethical approvals and the findings will be disseminated within academia and the wider policy sphere.
Trial Registration Number: ISRCTN51505201; pre-results.
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http://dx.doi.org/10.1136/bmjopen-2016-012046 | DOI Listing |
JBI Evid Synth
January 2025
Graduate School, University of Santo Tomas, Manila, Philippines.
Objective: This review aims to evaluate the effectiveness of Cognitive Behavioral Therapy (CBT) in improving the occupational performance of individuals with low back pain (LBP) compared with conservative pain management.
Introduction: LBP is a condition that describes pain between the lower edge of ribs and the buttocks. It is projected to affect 843 million people by 2050, with significant economic and occupational consequences.
Trials
January 2025
Department of Physiotherapy, Melbourne School of Health Science, University of Melbourne, Melbourne, Australia.
Background: Non-invasive ventilation (NIV) uses positive pressure to assist people with respiratory muscle weakness or severe respiratory compromise to breathe. Most people use this treatment during sleep when breathing is most susceptible to instability. The benefits of using NIV in motor neurone disease (MND) are well-established.
View Article and Find Full Text PDFSci Rep
January 2025
School of Economics Management, Chongqing Normal University, Chongqing, 401131, China.
Food security is the foundation of national security, which is related to economic development and social stability. Shanxi Province, as China's grain production and marketing balance area, has rich agricultural resources and profound farming civilization, its food security situation is not only related to its own economic development, but also has a strategic position that can not be ignored in the national food security system. Based on the concept and goal of the development of food security in Shanxi Province, from the five aspects of quantity security, economic security, policy security, resource sustainability and ecological sustainability, this paper constructs the evaluation index system of food security in Shanxi Province, including the fluctuation rate of grain production and the sown area of grain, and establishes the entropy TOPSIS model to evaluate the development level of food security in Shanxi Province.
View Article and Find Full Text PDFSci Rep
January 2025
ADAPT Research Centre, School of Computer Science, University of Galway, Galway, Ireland.
This study utilizes the Breast Ultrasound Image (BUSI) dataset to present a deep learning technique for breast tumor segmentation based on a modified UNet architecture. To improve segmentation accuracy, the model integrates attention mechanisms, such as the Convolutional Block Attention Module (CBAM) and Non-Local Attention, with advanced encoder architectures, including ResNet, DenseNet, and EfficientNet. These attention mechanisms enable the model to focus more effectively on relevant tumor areas, resulting in significant performance improvements.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Neurobiology, Care Science and Society, Karolinska Institutet, Stockholm, Sweden.
Introduction: is a manualised self-management fall prevention programme co-developed for and with ambulatory and non-ambulatory people with multiple sclerosis (PwMS). Findings from a feasibility study indicate the necessity of a full-scale randomised controlled trial (RCT).
Methods And Analysis: A parallel-group RCT with a mixed methods process evaluation as well as a cost-effectiveness evaluation will be conducted.
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