TY - JOUR
T1 - Conversion of STOPP/START version 2 into coded algorithms for software implementation
T2 - A multidisciplinary consensus procedure
AU - Huibers, Corlina J A
AU - Sallevelt, Bastiaan T G M
AU - de Groot, Dominique A
AU - Boer, Maarten J
AU - van Campen, Jos P C M
AU - Davids, Cathelijn J
AU - Hugtenburg, Jacqueline G
AU - Vermeulen Windsant-Van den Tweel, Annemieke M A
AU - van Hout, Hein P J
AU - van Marum, Rob J
AU - Meulendijk, Michiel C
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/5
Y1 - 2019/5
N2 - BACKGROUND: The rapid digitalization of medical practice has attracted growing interest in developing software applications for clinical guidelines and explicit screening tools to detect potentially inappropriate prescribing, such as STOPP/START criteria. The aim of the current study was to develop and provide logically unambiguous algorithms of STOPP/START criteria version 2, encoded with international disease and medication classification codes, to facilitate the development of software applications for multiple purposes.METHODS: A four round multidisciplinary consensus and validation procedure was conducted to develop implementable coded algorithms for software applications of STOPP/START criteria version 2, based on ICD, ICPC, LOINC and ATC classification databases.RESULTS: Consensus was reached for all 34 START criteria and 76 out of 80 STOPP criteria. The resulting 110 algorithms, modeled as inference rules in decision tables, are provided as supplementary data.CONCLUSION: This is the first study providing implementable algorithms for software applications based on STOPP/START version 2, validated in a computer decision support system. These algorithms could serve as a template for applying STOPP/START criteria version 2 to any software application, allowing for adaptations of the included ICD, ICPC and ATC codes and changing the cut-off levels for laboratory measurements to match local guidelines or clinical expertise.
AB - BACKGROUND: The rapid digitalization of medical practice has attracted growing interest in developing software applications for clinical guidelines and explicit screening tools to detect potentially inappropriate prescribing, such as STOPP/START criteria. The aim of the current study was to develop and provide logically unambiguous algorithms of STOPP/START criteria version 2, encoded with international disease and medication classification codes, to facilitate the development of software applications for multiple purposes.METHODS: A four round multidisciplinary consensus and validation procedure was conducted to develop implementable coded algorithms for software applications of STOPP/START criteria version 2, based on ICD, ICPC, LOINC and ATC classification databases.RESULTS: Consensus was reached for all 34 START criteria and 76 out of 80 STOPP criteria. The resulting 110 algorithms, modeled as inference rules in decision tables, are provided as supplementary data.CONCLUSION: This is the first study providing implementable algorithms for software applications based on STOPP/START version 2, validated in a computer decision support system. These algorithms could serve as a template for applying STOPP/START criteria version 2 to any software application, allowing for adaptations of the included ICD, ICPC and ATC codes and changing the cut-off levels for laboratory measurements to match local guidelines or clinical expertise.
KW - Aged
KW - Algorithms
KW - Consensus
KW - Databases, Factual
KW - Female
KW - Humans
KW - Inappropriate Prescribing
KW - Male
KW - Practice Patterns, Physicians'/standards
KW - Software
KW - International classification of medication and disease
KW - START STOPP criteria
KW - Explicit screening tool
KW - Algorithm
KW - Computer decision support system
KW - Inappropriate prescribing
UR - http://www.scopus.com/inward/record.url?scp=85062822187&partnerID=8YFLogxK
U2 - 10.1016/j.ijmedinf.2018.12.010
DO - 10.1016/j.ijmedinf.2018.12.010
M3 - Article
C2 - 30914175
SN - 1386-5056
VL - 125
SP - 110
EP - 117
JO - International Journal of Medical Informatics
JF - International Journal of Medical Informatics
ER -