TY - JOUR
T1 - Decision making about healthcare-related tests and diagnostic test strategies. Paper 5: a qualitative study with experts suggests that test accuracy data alone is rarely sufficient for decision making
AU - Mustafa, Reem A.
AU - Wiercioch, Wojtek
AU - Ventresca, Matthew
AU - Brozek, Jan
AU - Schünemann, Holger J.
AU - DU-Diagnosis expert group
AU - Bell, Hanan
AU - Bettmann, Michael
AU - Bossuyt, Patrick
AU - Browman, George
AU - Brozek, Jan
AU - Bühler, Diedrich
AU - Chou, Roger
AU - Don-Wauchope, Andrew
AU - Elwyn, Glyn
AU - Garg, Amit X.
AU - Ghersi, Davina
AU - Gion, Massimo
AU - Glasziou, Paul
AU - Horvath, Andrea Rita
AU - Kopp, Ina
AU - Krahn, Murray
AU - Leipzig, Rosanne M.
AU - Lelgemann, Monika
AU - Lloyd, Nancy
AU - Maija, Saijonkari
AU - Mäkelä, Marjukka
AU - Mendelson, Richard
AU - Mujoomdar, Michelle
AU - Reed, Martin
AU - Remedios, Denis
AU - Santesso, Nancy
AU - Sauerland, Stefan
AU - Saijonkari, Maija
AU - Steingart, Karen
AU - Tan, Toni
AU - Qaseem, Amir
PY - 2017/12
Y1 - 2017/12
N2 - Objectives The objective of the study was to identify the critical factors that determine recommendations and other decisions about healthcare-related tests and diagnostic strategies (HCTDS).Methods We used a qualitative descriptive approach and conducted semi-structured in-depth interviews with 24 international experts (informants) in evidence and decisions about HCTDS. Results Although test accuracy (TA) was the factor most commonly considered by organizations when developing recommendations about HCTDS, informants agreed that TA is necessary but rarely, if ever, sufficient and may be misleading when solely considered. The informants identified factors that are important for developing recommendations about HCTDS. Informants largely agreed that laying out the potential care pathways based on the test result is an essential early step but is rarely done in developing recommendations about HCTDS. Most informants also agreed that decision analysis could be useful for organizing the clinical, cost, and preference data relevant to the use of tests in the absence of direct evidence. However, they noted that using models is limited by the lack of resources and expertise required.Conclusion Developing guidelines about HCTDS requires consideration of factors beyond TA, but implementing this may be challenging. Further development and testing of “frameworks” that can guide this process is a priority for decision makers.
AB - Objectives The objective of the study was to identify the critical factors that determine recommendations and other decisions about healthcare-related tests and diagnostic strategies (HCTDS).Methods We used a qualitative descriptive approach and conducted semi-structured in-depth interviews with 24 international experts (informants) in evidence and decisions about HCTDS. Results Although test accuracy (TA) was the factor most commonly considered by organizations when developing recommendations about HCTDS, informants agreed that TA is necessary but rarely, if ever, sufficient and may be misleading when solely considered. The informants identified factors that are important for developing recommendations about HCTDS. Informants largely agreed that laying out the potential care pathways based on the test result is an essential early step but is rarely done in developing recommendations about HCTDS. Most informants also agreed that decision analysis could be useful for organizing the clinical, cost, and preference data relevant to the use of tests in the absence of direct evidence. However, they noted that using models is limited by the lack of resources and expertise required.Conclusion Developing guidelines about HCTDS requires consideration of factors beyond TA, but implementing this may be challenging. Further development and testing of “frameworks” that can guide this process is a priority for decision makers.
UR - http://www.scopus.com/inward/record.url?scp=85036506928&partnerID=8YFLogxK
U2 - 10.1016/j.jclinepi.2017.09.005
DO - 10.1016/j.jclinepi.2017.09.005
M3 - Article
C2 - 28917629
AN - SCOPUS:85036506928
SN - 0895-4356
VL - 92
SP - 47
EP - 57
JO - Journal of Clinical Epidemiology
JF - Journal of Clinical Epidemiology
ER -