Jildeh TR, Castle JP, Abbas MJ, Dash ME, Akioyamen NO, and Okoroha KR. Age Significantly Affects Response Rate to Outcomes Questionnaires Using Mobile Messaging Software. Arthrosc Sports Med Rehabil 2021; 3(5):e1349-e1358.
Arthrosc Sports Med Rehabil
PURPOSE: To investigate the demographic factors that influence time to respond (TTR), time to completion (TTC), and response rate when using a text messaging-based system and to determine the feasibility and applicability of mobile messaging-based services for collection of patient-reported outcomes among orthopaedic sports medicine patients.
METHODS: On the day of surgery, patient mobile phone number was collected and the automated mobile messaging service (MOSIO, Seattle, WA) messaged patients for 10 ``days postoperatively. Patient visual analog scale (VAS) scores were collected 3 times daily, side effects were asked each evening, and Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference (PI) Short Form was collected on postoperative day 3 and 7. RESULTS: A total of 177 patients were enrolled in the study. The overall response rate to the survey questions was 75.0%. For all patients, the average TTR of questions was 35.09 ± 12.57 minutes. The TTC was 2.75 ± 3.56 minutes for PROMIS-PI, 3.51 ± 1.26 minutes for VAS, and 3.80 ± 6.87 for side-effect questions. When patients were stratified into age groups, the youngest group, 16 to 32 years, had the greatest response rate of 85.2% and patients in the 49 to 59 years group had the lowest response rate of 68.4% and 69.1%, respectively (P < .001). There was no significant difference in the TTR or TTC for VAS, PROMIS-PI, or side-effect questions when patients were stratified by age or sex groups (P > .05).
CONCLUSIONS: Collectively, all age groups successfully achieved a mean response rate of 75%; however, significantly lower response rates were observed for patients >49 years old. Differences in age and sex did not impact the overall TTR or TTC for VAS, PROMIS-PI, or side-effect questions. Mobile-based applications present as an emerging opportunity to track postoperative outcome scores and reduce clinic survey load.
LEVEL OF EVIDENCE: Case series, level of evidence IV.