Young or Old Age and Non-White Race Are Associated With Poor Patient-Reported Outcome Measure Response Compliance After Orthopaedic Surgery

Purpose

To investigate orthopaedic patient compliance with patient-reported outcome measures (PROMs) and identify factors that improve response rates.

Methods

Our search strategy comprised a combination of key words and database-specific subject headings for the concepts of orthopaedic surgical procedures, compliance, and PROMs from several research databases from inception to October 11, 2022. Duplicates were removed. A total of 97 studies were included. A table was created for the remaining articles to be appraised and analyzed. The collected data included study characteristics, follow-up/compliance rate, factors that increase/decrease compliance, and type of PROM. Follow-up/compliance rate was determined to be any reported response rate. The range and average used for analysis was based on the highest or lowest number reported in the specific article.

Results

The range of compliance reported was 11.3% to 100%. The overall response rate was 68.6%. The average baseline (preoperative/previsit) response rate was 76.6%. Most studies (77%) had greater than 50% compliance. Intervention/reminder of any type (most commonly phone call or mail) resulted in improved compliance from 44.6% to 70.6%. Young and elderly non-White male patients had the lowest compliance rate. When directly compared, phone call (71.5%) resulted in a greater compliance rate than electronic-based (53.2%) or paper-based (57.6%) surveys.

Conclusions

The response rates for PROMs vary across the orthopaedic literature. Patient-specific factors, such as age (young or old) and race (non-White), may contribute to poor PROM response rate. Reminders and interventions significantly improve PROM response rates.

Clinical Relevance

PROMs are important tools in many aspects of medicine. The data generated from these tools not only provide information about individual patient outcomes but also make hypothesis-driven comparisons possible. Understanding the factors that affect patient compliance with PROMs is vital to our accurate understanding of patient outcomes and the overall advancement of medical care.

Evaluating the Performance of an Automated Patient-Reported Outcomes Collection Platform in a Postoperative Hand Surgery Population

PURPOSE

Reliable collection of postoperative patient-reported outcome measures (PROMs) is critical to understanding surgical outcomes and the value of care. Automated PROMs collection, triggered by the electronic medical record at the 1-year postoperative anniversary, may provide a simple way to acquire outcomes for patients who have been discharged from clinic. The purposes of this study were to (1) evaluate the percentage of responses with an automated PROMs collection platform and (2) identify whether such a system may introduce selection bias by comparing responders with nonresponders.

METHODS

Adult patients (aged ≥18 years) undergoing hand and upper-extremity surgeries between August 2017 and January 2019 were included. Preoperative Quick Disabilities of the Arm, Shoulder, and Hand (QuickDASH) scores were collected using tablet computer. Postoperative QuickDASH scores were collected using a single electronic survey request 1 year after surgery via an email with a personalized REDCap link. Univariate and multivariable regression analyses were performed to identify factors that differed between responders and nonresponders.

RESULTS

A response rate of 27% (269 of 1010) was observed for the eligible postoperative patients. On multivariable analysis, the following were associated with greater odds of response: older age, Caucasian race (vs unknown), longer surgery duration, attending the first postoperative visit, and responding to the preoperative QuickDASH.

CONCLUSIONS

The poor response rate that was observed highlights that an automated single email postoperative contact for PROMs collection is insufficient-active follow-up via reminder emails and/or telephone calls is needed. Outcome researchers and clinicians must be aware of potential selection biases, such as age and race, that may exist with automated PROMs collection.

CLINICAL RELEVANCE

Single email postoperative contact to obtain postoperative PROMs is insufficient.

Measuring the Time to Deterioration for Health-Related Quality of Life in Patients With Metastatic Breast Cancer Using a Web-Based Monitoring Application: Longitudinal Cohort Study

Background

Health-related quality of life (HRQoL) is used to evaluate the treatment of metastatic breast cancer. In a long-term therapy setting, HRQoL can be used as an important benchmark for treatment success. With the help of digital apps, HRQoL monitoring can be extended to more remote areas and be administered on a more frequent basis.

Objective

This study aims to evaluate 3 common HRQoL questionnaires in metastasized breast cancer in terms of TTD in a digital, web-based setting. We further aim to examine the development of the HRQoL in different systemic treatment groups in each of these evaluation instruments.

Methods

A total of 192 patients with metastatic breast cancer were analyzed in this bicentric prospective online cohort study at two German university hospitals. Patients completed questionnaires on HRQoL (EuroQol Visual Analog Scale [EQ-VAS], EuroQol 5 Dimension 5 Level [EQ-5D-5L], European Organization for Research and Treatment of Cancer Quality of Life Questionnaire–Core 30 item [EORTC QLQ-C30]) via an online platform over a 6-month period. Treatment schedules and medical history were retrieved from medical records. Unadjusted Cox regression analysis on treatment-related factors was performed. We conducted subgroup analyses in regard to TTD events between different treatments.

Results

The EQ-VAS showed a higher rate of deterioration after 8 weeks (84/179, 46.9%) than the EQ-5D-5L (47/163, 28.8%) and EORTC QLQ-C30 (65/176, 36.9%). Unadjusted Cox regression revealed significant connections between known metastases in the liver (P=.03, HR 1.64, 95% CI 1.06-2.52) and pleura (P=.04, HR 0.42, 95% CI 0.18-0.96) in the EQ-VAS. Significant relations between EQ-VAS events and single EQ-5D-5L items and the EQ-5D-5L summary score were demonstrated. All treatment groups significantly differed from the CDK4/6 inhibition subgroup in the EQ-VAS.

Conclusions

Compared to the EQ-5D-5L and QLQ-C30, the EQ-VAS showed a higher rate of deterioration after 8 weeks. Significant connections to certain metastatic locations were only detected in the EQ-VAS. The EQ-VAS is capable of reflecting the distinctive HRQoL profiles of different systemic treatments as well as the different aspects of HRQoL presented in the EQ-5D-5L. TTD with the EQ-VAS is an adequate mean of examining longitudinal development of HRQoL among breast cancer patients.

TECLA-an innovative technical approach for prostate cancer registries

Objective: To present a code-driven, electronic database for patients TrEated with robotic-assisted radiCaL prostAtectomy (TECLA), developed at Innlandet Hospital (IH), Trust, Norway, for research, local quality control and to deliver data to the National Cancer Registry of Norway (CRN). Clinical data are directly extracted from the structured documentation in the electronic medical record (EMR).Materials and methods: The urological department at IH treats about 200 patients with robotic-assisted radical prostatectomy (RARP) annually. All consenting patients registered with the procedure code for RARP are included in TECLA. Clinical data are obtained automatically from the EMR, by structured forms. Patient-reported outcome and experience measures (PROMs and PREMs) are filled in by the patients on an iPad or a smartphone.Results: The basic construct of TECLA is presented. From August 2017 to June 2018, 200 men were treated with RARP, of which 182 (91%) provided consent for inclusion in the register. Of these, 97% completed the PROM survey before treatment and 91% at 3 months follow-up. PREMs were completed by 78%. All clinical variables for the hospital stay and for the 6-week follow-up were more than 95% complete.Conclusion: This entirely electronic surgical quality register is easy to use, both for patients and clinicians, and has a high capture rate. The data collection is linked to the clinicians' workflow, without double data entry, so entering data does not add any extra work. The register design can be used by other hospitals for various surgical procedures.