Factors associated with completion of patient surveys 1 year after bariatric surgery

Analysis of factors associated with patient-reported outcome (PRO) score completion rate one year after shoulder surgeries

Background

Patient-reported outcome measurements (PROMs) are important metrics for monitoring improvements following shoulder surgery. Despite the easy accessibility of electronic PROM surveys, completion rates vary, and factors predictive of survey completion for patients enrolled in medical survey follow-up after shoulder surgery remain largely unknown. The purpose of this study is to investigate survey completion rates for common shoulder procedures and identify factors predictive of PROM completion at one-year postoperatively. We hypothesize that the response rate to shoulder PROMs may vary by the shoulder procedure type after surgery.

Methods

Patients undergoing total shoulder arthroplasty (TSA), rotator cuff repair (RCR), and instability surgery (Latarjet procedure [LP], and arthroscopic Bankart repair [ABR]) from 2019 to 2021 were prospectively enrolled. Each patient was administered PROM surveys via email preoperatively and at 2-weeks, 6-weeks, 3-months, 6-months, and 12-months following surgery. Demographics and socioeconomic characteristics were collected from our institutional database. The primary outcome studied was survey completion rate by procedure. Multivariable logistic regression was performed to identify factors predictive of completing 12-month follow-up.

Results

A total of 514 (251 TSA, 194 RCR, and 69 instability surgery (35 LP, 34 ABR)) patients with an average age of 58 ± 15 years were included in this study. Overall, the 12-month survey completion rate for all procedures was 57.2%. TSA had the highest completion rate (64.9%), followed by RCR (52.1%), ABR (44.2%), and LP (42.9%). ABR and LP demonstrated more than a 50% drop in survey response at 2 weeks, and the RCR cohort demonstrated an increased attrition in survey response at the 6-month mark. Patients who completed the 12-month follow-up survey were older [61 ± 14 vs. 54 ± 17; P < .001], less frequently self-identified as Hispanic [13% vs. 23%; P = .009], less frequently single [32% vs. 44%; P = .008], and most frequently classified as the American Society of Anesthesiology [ASA] score II [65%, P = .001].

Conclusion

Postoperative PROM survey completion rates vary significantly among commonly performed shoulder procedures during the first year after surgery. Hispanic ethnicity and younger age were all predictive of a lower propensity, and the TSA procedure is predictive of higher odds for PROM survey completion at the 12-month follow-up.

Response rates in clinical quality registries and databases that collect patient reported outcome measures: a scoping review

BACKGROUND

Patient Reported Outcome Measures (PROMs) are being increasingly introduced in clinical registries, providing a personal perspective on the expectations and impact of treatment. The aim of this study was to describe response rates (RR) to PROMs in clinical registries and databases and to examine the trends over time, and how they change with the registry type, region and disease or condition captured.

METHODS

We conducted a scoping literature review of MEDLINE and EMBASE databases, in addition to Google Scholar and grey literature. All English studies on clinical registries capturing PROMs at one or more time points were included. Follow up time points were defined as follows: baseline (if available), < 1 year, 1 to < 2 years, 2 to < 5 years, 5 to < 10 years and 10 + years. Registries were grouped according to regions of the world and health conditions. Subgroup analyses were conducted to identify trends in RRs over time. These included calculating average RRs, standard deviation and change in RRs according to total follow up time.

RESULTS

The search strategy yielded 1,767 publications. Combined with 20 reports and four websites, a total of 141 sources were used in the data extraction and analysis process. Following the data extraction, 121 registries capturing PROMs were identified. The overall average RR at baseline started at 71% and decreased to 56% at 10 + year at follow up. The highest average baseline RR of 99% was observed in Asian registries and in registries capturing data on chronic conditions (85%). Overall, the average RR declined as follow up time increased.

CONCLUSION

A large variation and downward trend in PROMs RRs was observed in most of the registries identified in our review. Formal recommendations are required for consistent collection, follow up and reporting of PROMs data in a registry setting to improve patient care and clinical practice. Further research studies are needed to determine acceptable RRs for PROMs captured in clinical registries.