TY  - JOUR
AU  - Garvin, Lynn A
AU  - Simon, Steven R
PY  - 2017
DA  - 2017/05/26
TI  - Prioritizing Measures of Digital Patient Engagement: A Delphi Expert Panel Study
JO  - J Med Internet Res
SP  - e182
VL  - 19
IS  - 5
KW  - patient reported outcome measures
KW  - patient engagement
KW  - patient-centered care
KW  - personal health record
KW  - health information technology
KW  - veterans health
AB  - Background: Establishing a validated scale of patient engagement through use of information technology (ie, digital patient engagement) is the first step to understanding its role in health and health care quality, outcomes, and efficient implementation by health care providers and systems. Objective: The aim of this study was to develop and prioritize measures of digital patient engagement based on patients’ use of the US Department of Veterans Affairs (VA)’s MyHealtheVet (MHV) portal, focusing on the MHV/Blue Button and Secure Messaging functions. Methods: We aligned two models from the information systems and organizational behavior literatures to create a theory-based model of digital patient engagement. On the basis of this model, we conducted ten key informant interviews to identify potential measures from existing VA studies and consolidated the measures. We then conducted three rounds of modified Delphi rating by 12 national eHealth experts via Web-based surveys to prioritize the measures. Results: All 12 experts completed the study’s three rounds of modified Delphi ratings, resulting in two sets of final candidate measures representing digital patient engagement for Secure Messaging (58 measures) and MHV/Blue Button (71 measures). These measure sets map to Donabedian’s three types of quality measures: (1) antecedents (eg, patient demographics); (2) processes (eg, a novel measure of Web-based care quality); and (3) outcomes (eg, patient engagement). Conclusions: This national expert panel study using a modified Delphi technique prioritized candidate measures to assess digital patient engagement through patients’ use of VA’s My HealtheVet portal. The process yielded two robust measures sets prepared for future piloting and validation in surveys among Veterans. 
SN  - 1438-8871
UR  - http://www.jmir.org/2017/5/e182/
UR  - https://doi.org/10.2196/jmir.4778
UR  - http://www.ncbi.nlm.nih.gov/pubmed/28550008
DO  - 10.2196/jmir.4778
ID  - info:doi/10.2196/jmir.4778
ER  -