Field trials of interventions against disease in low and middle income countries (LMICs) may be complex and expensive undertakings. This 3rd edition of the Field Trials Toolbox has been compiled by over 30 contributors with extensive direct experience in the design, conduct, and analysis of field trials in LMICs, and it attempts to document their accumulated experience for the guidance of those who might undertake field trials of health interventions. It can be read in its entirety as an introduction to the field and/or can serve as a reference volume during each of the different stages of planning, conducting, and analysing a field trial.
As part of its partnership-driven approach, Break Dengue has introduced Dengue Lab, an online platform for professionals around the world who work on the prevention, surveillance or treatment of dengue fever.b
AuthorAid is a great online tool whose aim is to support developing country researchers in publishing their work.
A programme set up by WHO together with major publishers to provide free or very low cost online access to the major journals to local, not-for-profit institutions in developing countries.
ESSENCE on Health Research have created a good practice document on research costing. It includes a review of the funding practices related to the definition and funding of direct and indirect costs.
This guide, developed by the WHO and released in December 2013, aims to facilitate implementation research in LMICs.
Research reporting guidelines are standard statements that provide guidance on how to report research methodology and findings. These are in the form of checklists, flow diagrams or texts. Most of the biomedical journals require authors to comply with these guidelines. Guidelines are available for reporting various study designs:
- CONSORT Statement (reporting of randomized controlled trials)
- STARD (reporting of diagnostic accuracy studies)
- STROBE (reporting of observational studies in epidemiology)
- PRISMA (reporting of systematic reviews)
- MOOSE (reporting of meta-analyses of observational studies)