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Appl Clin Inform 2019; 10(01): 019-027
DOI: 10.1055/s-0038-1676807
Research Article
Georg Thieme Verlag KG Stuttgart · New York

The Reach and Feasibility of an Interactive Lung Cancer Screening Decision Aid Delivered by Patient Portal

Ajay Dharod
1   Department of Internal Medicine, Section on General Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, United States
2   Department of Implementation Science, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, United States
,
Christina Bellinger
3   Department of Internal Medicine, Section on Pulmonary, Critical Care, Allergy and Immunology, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, United States
,
Kristie Foley
2   Department of Implementation Science, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, United States
,
L. Doug Case
4   Department of Biostatistical Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, United States
,
David Miller
1   Department of Internal Medicine, Section on General Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, United States
2   Department of Implementation Science, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, United States
› Author Affiliations Funding This study received funding from the Wake Forest University Comprehensive Cancer Center (NCI CCSG P30CA012197) and the Wake Forest Clinical and Translational Science Institute (NCATS UL1TR001420).
Further Information

Publication History

16 August 2018

16 November 2018

Publication Date:
09 January 2019 (online)

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Abstract

Objective Health systems could adopt population-level approaches to screening by identifying potential screening candidates from the electronic health record and reaching out to them via the patient portal. However, whether patients would read or act on sent information is unknown. We examined the feasibility of this digital health outreach strategy.

Methods We conducted a single-arm pragmatic trial in a large academic health system. An electronic health record algorithm identified primary care patients who were potentially eligible for lung cancer screening (LCS). Identified patients were sent a patient portal invitation to visit a LCS interactive Web site which assessed screening eligibility and included a decision aid. The primary outcome was screening completion. Secondary outcomes included the proportion of patients who read the invitation, visited the interactive Web site, and completed the interactive Web site.

Results We sent portal invitations to 1,000 patients. Almost all patients (86%, 862/1,000) read the invitation, 404 (40%) patients visited the interactive Web site, and 349 patients (35%) completed it. Of the 99 patients who were confirmed screening eligible by the Web site, 81 made a screening decision (30% wanted screening, 44% unsure, 26% declined screening), and 22 patients had a chest computed tomography completed.

Conclusion The digital outreach strategy reached the majority of patient portal users. While the study focused on LCS, this digital outreach approach could be generalized to other health needs. Given the broad reach and potential low cost of this digital strategy, future research should investigate best practices for implementing the system.

Keywords

electronic health records - eligibility determination - decision support techniques - patient portals - cancer early detection

Note

This work has been presented in oral poster format at the Society of General Internal Medicine National Meeting in the category of Innovations in Clinical Practice in Washington DC (April 2017). No elements of this work have been published elsewhere and the paper article is not under consideration at other journals.


Protection of Human and Animal Subjects

The study was performed in compliance with the World Medical Association Declaration of Helsinki on Ethical Principles for Medical Research Involving Human Subjects, and was reviewed and approved by Wake Forest School of Medicine Institutional Review Board (IRB00036974). The study is on ClinicalTrials.gov (Identifier: NCT02962115; URL: https://clinicaltrials.gov/ct2/show/NCT02962115).


 

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