TY - CHAP
T1 - Optimizing digital health informatics interventions through unobtrusive quantitative process evaluations
AU - Gude, Wouter T.
AU - Van Der Veer, Sabine N.
AU - De Keizer, Nicolette F.
AU - Coiera, Enrico
AU - Peek, Niels
N1 - Copyright the Publisher 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2016
Y1 - 2016
N2 - Health informatics interventions such as clinical decision support (CDS) and audit and feedback (A&F) are variably effective at improving care because the underlying mechanisms through which these interventions bring about change are poorly understood. This limits our possibilities to design better interventions. Process evaluations can be used to improve this understanding by assessing fidelity and quality of implementation, clarifying causal mechanisms, and identifying contextual factors associated with variation in outcomes. Coiera describes the intervention process as a series of stages extending from interactions to outcomes: the "information value chain". However, past process evaluations often did not assess the relationships between those stages. In this paper we argue that the chain can be measured quantitatively and unobtrusively in digital interventions thanks to the availability of electronic data that are a by-product of their use. This provides novel possibilities to study the mechanisms of informatics interventions in detail and inform essential design choices to optimize their efficacy.
AB - Health informatics interventions such as clinical decision support (CDS) and audit and feedback (A&F) are variably effective at improving care because the underlying mechanisms through which these interventions bring about change are poorly understood. This limits our possibilities to design better interventions. Process evaluations can be used to improve this understanding by assessing fidelity and quality of implementation, clarifying causal mechanisms, and identifying contextual factors associated with variation in outcomes. Coiera describes the intervention process as a series of stages extending from interactions to outcomes: the "information value chain". However, past process evaluations often did not assess the relationships between those stages. In this paper we argue that the chain can be measured quantitatively and unobtrusively in digital interventions thanks to the availability of electronic data that are a by-product of their use. This provides novel possibilities to study the mechanisms of informatics interventions in detail and inform essential design choices to optimize their efficacy.
KW - Medical Audit
KW - Clinical Decision Support Systems
KW - Process Evaluation
UR - http://www.scopus.com/inward/record.url?scp=85019566404&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-678-1-594
DO - 10.3233/978-1-61499-678-1-594
M3 - Chapter
C2 - 27577453
SN - 9781614996774
T3 - Studies in Health Technology and Informatics
SP - 594
EP - 598
BT - Exploring complexity in health
A2 - Hörbst, Alexander
A2 - Hackl, Werner
A2 - de Keizer, Nicolette
A2 - Prokosch, Hans-Ulrich
A2 - Hercigonja-Szekeres, Mira
A2 - de Lusignan, Simon
PB - IOS Press
CY - Amsterdam
T2 - Medical Informatics Europe (MIE) Conference at Conference on Health - Exploring Complexity (HEC) - An Interdisciplinary Systems Approach
Y2 - 28 August 2016 through 2 September 2016
ER -