A novel electronic patient-reported outcome delivery system to implement health-related quality of life measures in routine clinical care: An analysis of 5 years of experience.
Front Digit Health
; 4: 1074931, 2022.
Article
in En
| MEDLINE
| ID: mdl-36698650
Objective: To develop a simple and secure technological solution to incorporate electronic patient-reported outcomes (ePROs) into routine clinical care. Methods: A novel ePRO questionnaire delivery system was developed by Software for Specialists (S4S) in partnership with OPAL Rheumatology Australia. Validated questionnaires were sent from the electronic medical record (EMR) (Audit4) of patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), lupus or giant cell arteritis (GCA) and delivered to the patient's email address or completed in the clinic waiting room using a smart device (in-practice). Completed questionnaires were encrypted and returned to the patient's Audit4. Deidentified clinical data was extracted and aggregated across all sites. Data collected between April 2016-Dec 2020 were analysed descriptively. Results: Between April 2016 to Dec 2020, 221,352 Functional Assessment of Chronic Illness Therapy Fatigue (FACIT-F), Patient Health Questionnaire-2 (PHQ-2) and/or HealthCare Resource Utilization (HCRU) questionnaires were sent from 39 of 42 contributing clinics (93%). 85% of questionnaires were delivered via email and 15% in-practice. Overall, 85% of patients completed at least one questionnaire, and of all questionnaires sent, 73% were completed. Females were more likely to engage with the questionnaires than males (87% vs. 81%), and older patients were slightly more likely to complete all questionnaires delivered. Conclusions: The novel Audit4 ePRO delivery system is an effective tool for incorporating PROs into routine clinical care. The data generated provides a unique opportunity to understand the full burden of disease for patients in the real-world setting and the impact of interventions.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Prognostic_studies
Aspects:
Patient_preference
Language:
En
Journal:
Front Digit Health
Year:
2022
Document type:
Article
Affiliation country:
Australia
Country of publication:
Switzerland