Adapt Research answers your strategic questions
- Is expediting cataract surgery a cost-effective way to prevent falls?
- Does NZ have the right mix of raw materials to make productive use of Artificial Intelligence?
- How might we reduce falls in older people with cognitive impairment?
- Is UN discussion of existential threats appropriately tracking the actual threats?
- What is the human and economic burden of multiple myeloma in New Zealand?
- How might we intervene in the cancer patient care pathway in Australia to improve efficiency?
- How might we prioritise island jurisdictions as refuges against pandemic threats?
- Is it ever cost-effective to close borders in a pandemic?
- What are our policy obligations toward the far future and existential risks?
- What is the latest evidence for how to reduce harm from falls?
- Should we prescribe vitamin D to prevent falls?
- Does the New Zealand government need policy about the risks of artificial intelligence and why?
- How severe does a global pandemic need to be to make it rational to close an island nation’s borders?
- What is the evidence for how to reduce harm from falls in older people?
- How ought we choose patients for catheter ablation to treat atrial fibrillation?
- How might we improve the effectiveness of root cause analysis?
- Can Siri help people quit smoking?
Click here to request a copy of one of our longer health technology assessment reports
Our Clients include:
- AI Forum New Zealand
- Mohak Bariatrics and Robotics
- Community and Patient Preference Research
- Health Outcomes Associates
- The Rapanui (Gisborne Eye Education) Trust
- Edanz Medical Writing and Editing
- Bellbird Medical Communications Ltd
- The Health Quality and Safety Commission
- Inferscience Clinical Decision Support
- The Burden of Disease Epidemiology, Equity and Cost-effectiveness Programme
- The National Health Committee
- A Wellington-based public health physician
Media reports about our work:
- Cataracts and Falls (TVNZ)
- Cataracts and Falls (ODT)
- Multiple Myeloma (NZ Herald)
- Pharmac funding policy (RNZ, scroll to bottom)
- Economic analysis of border closure (Stuff)
- Artificial intelligence (Scoop)
- Existential risk (Vice)
- Pandemic threat (Stuff)
- Colorectal cancer screening (TVNZ)
Publications by Adapt Research Staff:
Public Health & Health Economics
Boyd M, Kho A, Wilson G, Wilson N. (2019). Expediting cataract surgery in New Zealand is cost-effective for falls prevention and improving vision-so what might be the next steps? N Z Med J;132(1501):73-78.
Boyd M, Kvizhinadze G, Kho A, Wilson G, Wilson N. Cataract surgery for falls prevention and improving vision: modelling the health gain, health system costs and cost-effectiveness in a high-income country. Injury Prevention. https://injuryprevention.bmj.com/content/early/2019/06/20/injuryprev-2019-043184.info
Boyd M, Mansoor OD, Baker MG, Wilson N. (2018). Economic evaluation of border closure for a generic severe pandemic threat using New Zealand Treasury methods. Aust N Z J Public Health. https://onlinelibrary.wiley.com/doi/full/10.1111/1753-6405.12818
Boyd M, Wilson N. (2018). Just ask Siri? A pilot study comparing smartphone digital assistants and laptop Google searches for smoking cessation advice. PLoS ONE;13(3):e0194811. https://doi.org/10.1371/journal.pone.0194811
Wilson N, Clement C, Boyd M, Teng A, Woodward A, Blakely T. (2018). The long history of health inequality in New Zealand: occupational class and lifespan in the late 1800s and early 1900s. Aust N Z J Public Health;(E-publication 14 February). http://onlinelibrary.wiley.com/doi/10.1111/1753-6405.12765/full
Boyd M, Baker MG, Mansoor OD, Kvizhinadze G, Wilson N. (2017). Protecting an island nation from extreme pandemic threats: Proof-of-concept around border closure as an intervention. PLOS One. Jun 16;12(6):e0178732. doi: 10.1371/journal.pone.0178732. eCollection 2017. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0178732
McLeod M, Kvizhinadze G, Boyd M, Barendregt J, Sarfati D, Wilson N, Blakely T. (2017). Colorectal cancer screening: How health gains and cost-effectiveness vary by ethnic group, the impact on health inequalities, and the optimal age-range to screen. Cancer Epidemiol Biomarkers Prev.
Boyd, M., Blakely, T., Atkinson, J. (2016). Ethnic counts on mortality, NZ Cancer Registry and census data: 2006-2011. NZMJ, 129:1429.
N. Wilson, M. Boyd, S. Nisa, C. Clement, M.G. Baker (2016). Did exposure to a severe outbreak of pandemic influenza in 1918 impact on long-term survival? Epidemiology and Infection.
Technology and Society
Boyd M., Wilson N. (2017). Rapid developments in artificial intelligence: How might the New Zealand Government respond? Policy Quarterly;13(4):36-43.
Madell, D., Boyd, M. (2015). Using mobile phones to control social interactions. Encyclopaedia of Mobile Phone Behaviour. IGI Global.
Boyd, M. (2011). As We Build Our World We Build Our Minds: The causal role of technology in the development and evolution of human psychological traits. PhD Thesis. Victoria University of Wellington.
Weller, J, Cumin, D, Torrie, J, Boyd, M, Civil, I, Madell, D, et al. (2015). Multidisciplinary Operating Room simulation-based team training to reduce treatment errors: a feasibility study in New Zealand hospitals. NZMJ, 128:1418.
Boyd, M. (2014). A Method for Prioritizing Intervention Following Root Cause Analysis. Journal of Evaluation in Clinical Practice: Philosophy Special Issue. doi: 10.1111/jep.12272.
Lee, H., Cumin, D., Devcich, D., Boyd, M. (2014). Expressing concern and writing it down: an experimental study investigating transfer of information at nursing handover. Journal of Advanced Nursing. doi: 10.1111/jan.12484.
Teamwork in Healthcare
Weller, J, Cumin, D, Civil, I, Torrie, J, Garden, A, MacCormick, A, Gurusinghe, N, Boyd, M, et al. (2016). Improved scores for observed teamwork in the clinical environment following a multidisciplinary operating room simulation intervention. NZMJ.
Nakarada-Kordic, I., Weller, J., Webster, C., Cumin, D., Boyd, M., Merry, A. (2016). Assessing the similarity of mental models of operating room team members and implications for patient safety: aprospective, replicated study. BMC Medical Education, 16:229.
Boyd, M., Cumin, D., Lombard, B., Torrie, J., Civil, N., Weller, J. (2014). Read-back improves information transfer in a simulated clinical crisis. BMJ Quality and Safety. doi: 10.1136/bmjqs-2014-003096.
Weller, J., Boyd, M. (2014). Making a difference through improving teamwork in the operating room – a systematic review of the evidence on what works. Current Anesthesiology Reports. doi 10.1007/s40140-014-0050-0.
Weller, J., Boyd, M., Cumin, D. (2014). Teams, Tribes and Patient Safety: Overcoming barriers to effective teamwork in healthcare. The Postgraduate Medical Journal. doi: 10.1136/postgradmedj-2012-131168.
Weller, J., Torrie, J., Boyd, M., Frengley, R., Garden, A., Ng, W.L., Frampton, C. (2014). Improving team information sharing with a structured call-out in anaesthetic emergencies: a randomised controlled trial. British Journal of Anaesthesia. doi: 10.1093/bja/aet579.
Weller, J., Shulruf, B., Torrie, J. Frengley, R., Boyd, M., Paul, A., Yee, B., Dzendrowskyj, P. (2013). Validation of a measurement tool for self-assessment of teamwork in intensive care. British Journal of Anaesthesia, 111(3): 460-7.
Cumin, D., Boyd, M. Webster, C., Weller, J. (2013). A Systematic Review of Simulation for Multidisciplinary Team Training in Operating Rooms. Simulation in Health Care, 8:171-9
Boyd, M., Wilson, N. (2018). Existential risks: New Zealand needs a method to agree a value framework and how to quantify future lives at risk. Policy Quarterly. Online first: https://www.victoria.ac.nz/__data/assets/pdf_file/0011/1501013/Boyd_Wilson.pdf
Henning, M., Malpas, P., Ram, S., Rajput, V., Krstic, V., Boyd, M., Hawken, S. (2016). Students’ responses to scenarios depicting ethical dilemmas: A study of pharmacy and medical students in New Zealand. J Med Ethics; 42:7 466-473.
Weller JM, Henning M, Civil N, Lavery N, Boyd M, Jolly B. (2013). Trainee approaches to learning for the ANZCA Final Examination. Anaesthesia and Intensive Care, 41(5): 631-40.