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A call for more health care trials
Successful innovation requires experimentation, according to a recent editorial in BMJ Quality & Safety – that’s why health systems should engage in more experimenting, more systematically, to improve health care.
“Most health systems implement interventions without testing them against other designs,” said co-author Mitesh S. Patel, MD, MBA, MS, of the University of Pennsylvania, Philadelphia. “This means that good ideas are often not spread (because we don’t know how impactful they are) and bad ones persist (because we don’t realize they don’t work).”
Dr. Patel, who is director of the Penn Medicine Nudge Unit at the Perelman Center for Advanced Medicine, encourages health systems and clinicians to implement new interventions in testable ways such as through a randomized trial, so that we can learn what works and why. A more systematic approach could help to expand programs that work and improve workflow and patient care.
“First, we must embed research teams within health systems in order to create the capacity for this kind of work. Expertise is required to identify a promising intervention, design the conceptual approach, conduct the technical implementation and rigorously evaluate the trial. These teams are also able to design interventions within the context of existing workflows in order to ensure that successful projects can be quickly scaled and that ineffective initiatives can be seamlessly terminated.” the authors wrote.
“Second, we must take advantage of existing data systems. The field of health care is ripe with detailed and reliable administrative data and electronic medical record data. These data offer the potential to do high-quality, low-cost, rapid trials. Third, we must measure a wide range of meaningful outcomes. We should examine the effect of interventions on health care costs, health care utilization and health outcomes.”
Next steps could be focused on thinking about the key priority areas and how can experiments be used to generate new knowledge on what works and what does not. “Luckily, the complex world of health care provides endless opportunities for rapid-cycle, randomized trials that target health care costs and outcomes,” Dr. Patel said.
Reference
1. Oakes AH, Patel MS. A nudge towards increased experimentation to more rapidly improve healthcare. BMJ Qual Saf. 2020;29:179-181. doi: 10.1136/bmjqs-2019-009948. Accessed Dec 3, 2019.
A call for more health care trials
A call for more health care trials
Successful innovation requires experimentation, according to a recent editorial in BMJ Quality & Safety – that’s why health systems should engage in more experimenting, more systematically, to improve health care.
“Most health systems implement interventions without testing them against other designs,” said co-author Mitesh S. Patel, MD, MBA, MS, of the University of Pennsylvania, Philadelphia. “This means that good ideas are often not spread (because we don’t know how impactful they are) and bad ones persist (because we don’t realize they don’t work).”
Dr. Patel, who is director of the Penn Medicine Nudge Unit at the Perelman Center for Advanced Medicine, encourages health systems and clinicians to implement new interventions in testable ways such as through a randomized trial, so that we can learn what works and why. A more systematic approach could help to expand programs that work and improve workflow and patient care.
“First, we must embed research teams within health systems in order to create the capacity for this kind of work. Expertise is required to identify a promising intervention, design the conceptual approach, conduct the technical implementation and rigorously evaluate the trial. These teams are also able to design interventions within the context of existing workflows in order to ensure that successful projects can be quickly scaled and that ineffective initiatives can be seamlessly terminated.” the authors wrote.
“Second, we must take advantage of existing data systems. The field of health care is ripe with detailed and reliable administrative data and electronic medical record data. These data offer the potential to do high-quality, low-cost, rapid trials. Third, we must measure a wide range of meaningful outcomes. We should examine the effect of interventions on health care costs, health care utilization and health outcomes.”
Next steps could be focused on thinking about the key priority areas and how can experiments be used to generate new knowledge on what works and what does not. “Luckily, the complex world of health care provides endless opportunities for rapid-cycle, randomized trials that target health care costs and outcomes,” Dr. Patel said.
Reference
1. Oakes AH, Patel MS. A nudge towards increased experimentation to more rapidly improve healthcare. BMJ Qual Saf. 2020;29:179-181. doi: 10.1136/bmjqs-2019-009948. Accessed Dec 3, 2019.
Successful innovation requires experimentation, according to a recent editorial in BMJ Quality & Safety – that’s why health systems should engage in more experimenting, more systematically, to improve health care.
“Most health systems implement interventions without testing them against other designs,” said co-author Mitesh S. Patel, MD, MBA, MS, of the University of Pennsylvania, Philadelphia. “This means that good ideas are often not spread (because we don’t know how impactful they are) and bad ones persist (because we don’t realize they don’t work).”
Dr. Patel, who is director of the Penn Medicine Nudge Unit at the Perelman Center for Advanced Medicine, encourages health systems and clinicians to implement new interventions in testable ways such as through a randomized trial, so that we can learn what works and why. A more systematic approach could help to expand programs that work and improve workflow and patient care.
“First, we must embed research teams within health systems in order to create the capacity for this kind of work. Expertise is required to identify a promising intervention, design the conceptual approach, conduct the technical implementation and rigorously evaluate the trial. These teams are also able to design interventions within the context of existing workflows in order to ensure that successful projects can be quickly scaled and that ineffective initiatives can be seamlessly terminated.” the authors wrote.
“Second, we must take advantage of existing data systems. The field of health care is ripe with detailed and reliable administrative data and electronic medical record data. These data offer the potential to do high-quality, low-cost, rapid trials. Third, we must measure a wide range of meaningful outcomes. We should examine the effect of interventions on health care costs, health care utilization and health outcomes.”
Next steps could be focused on thinking about the key priority areas and how can experiments be used to generate new knowledge on what works and what does not. “Luckily, the complex world of health care provides endless opportunities for rapid-cycle, randomized trials that target health care costs and outcomes,” Dr. Patel said.
Reference
1. Oakes AH, Patel MS. A nudge towards increased experimentation to more rapidly improve healthcare. BMJ Qual Saf. 2020;29:179-181. doi: 10.1136/bmjqs-2019-009948. Accessed Dec 3, 2019.