TY - JOUR
T1 - Uncertainty in health care: Towards a more systematic program of research
AU - Han, Paul K. J.
AU - Babrow, Austin
AU - Hillen, Marij A.
AU - Gulbrandsen, P. l
AU - Smets, Ellen M.
AU - Ofstad, Eirik H.
PY - 2019/10
Y1 - 2019/10
N2 - Objective: To promote a more systematic approach to research on uncertainty in health care, and to explore promising starting points and future directions for this research. Methods: We examine three fundamental aspects of medical uncertainty that a systematic research program should ideally address: its nature, effects, and communication. We summarize key insights from past empirical research and explore existing conceptual models that can help guide future research. Results: A diverse body of past research on medical uncertainty has produced valuable empirical insights and conceptual models that provide useful starting points for future empirical and theoretical work. However, these insights need to be more fully developed and integrated to answer remaining questions about what uncertainty is, how it affects people, and how and why it should be communicated. Conclusion: Uncertainty in health care is an extremely important but incompletely understood phenomenon. Improving our understanding of the many important aspects of uncertainty in health care will require a more systematic program of research based upon shared, integrative conceptual models and active, collaborative engagement of the broader research community. Practice Implications: A more systematic approach to investigating uncertainty in health care can help elucidate how the clinical communication of uncertainty might be improved.
AB - Objective: To promote a more systematic approach to research on uncertainty in health care, and to explore promising starting points and future directions for this research. Methods: We examine three fundamental aspects of medical uncertainty that a systematic research program should ideally address: its nature, effects, and communication. We summarize key insights from past empirical research and explore existing conceptual models that can help guide future research. Results: A diverse body of past research on medical uncertainty has produced valuable empirical insights and conceptual models that provide useful starting points for future empirical and theoretical work. However, these insights need to be more fully developed and integrated to answer remaining questions about what uncertainty is, how it affects people, and how and why it should be communicated. Conclusion: Uncertainty in health care is an extremely important but incompletely understood phenomenon. Improving our understanding of the many important aspects of uncertainty in health care will require a more systematic program of research based upon shared, integrative conceptual models and active, collaborative engagement of the broader research community. Practice Implications: A more systematic approach to investigating uncertainty in health care can help elucidate how the clinical communication of uncertainty might be improved.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85067297067&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/31227333
U2 - https://doi.org/10.1016/j.pec.2019.06.012
DO - https://doi.org/10.1016/j.pec.2019.06.012
M3 - Article
C2 - 31227333
SN - 0738-3991
VL - 102
SP - 1756
EP - 1766
JO - Patient Education and Counseling
JF - Patient Education and Counseling
IS - 10
ER -