Is it time to combine osteoporosis therapies?

Abstract

Background: Setting up a clinical study can take more than 18 months and can cost millions of pounds. For many aspects of global health there is a dearth of research, yet evidence is urgently needed to address major challenges. Obtaining such data within a meaningful timeframe requires a fundamental change in the planning and setting up of research studies. Typically, protocols are developed in closed groups and often never shared. However, many operational processes in research are generic, irrespective of the disease or design. Thus, removal of duplication and sharing methods could speed up research. This research methodology project investigates whether researchers can be persuaded to share methods and if this will streamline research.

Methods: The theory of communities of practice (in which distinct specialists working on a problem collaborate to solve it) guided this project. The Global Health Network was created to enable communities of practice to form to develop protocols, exchange research instruments, and share skills. We measured uptake, effect, and benefit of the Network through surveys, questionnaires, interviews with target audiences (research teams in low-income and middle-income countries), and analysis of digital access.

Findings: Since 2011, more than 60 000 researchers, nurses, technicians, and scientists from almost all low-income and middle-income countries have used the project to share research methods, knowledge, and processes. 21 specialised communities of practice have formed collaborations that are actively exchanging methods. More than 250 research guidance notes have been shared that provide specific guidance for various research methods—eg, an international respiratory disease network has released three open-access novel coronavirus protocols and groups working in maternal health are listing the samples they have stored with the invitation for others to collaborate. These qualitative and quantitative data show that these exchanges are highly beneficial for guiding and improving research operations, and that there is a willingness to share.

Interpretation: Scientists compete for funding and publication and therefore sharing methods and knowledge can be perceived as disadvantageous. However, if use of protocols and methods developed by wide and open consensus can help to quickly gain high quality data, then better progress could be made for all and disease research could be changed to improve health.

Funding: Bill & Melinda Gates Foundation.