Adjusting for Variation in Patient-Reported Outcome Measures Is Needed to Improve Care After Total Knee Arthroplasty

Normative Values for Daily Functional Recovery Patterns Following Total Knee Arthroplasty

BACKGROUND

Wearable devices provide the ability for clinical teams to continuously monitor patients' rehabilitation progress with objective data. Understanding expected recovery patterns following total knee arthroplasty (TKA) enables prompt identification of patients failing to meet these milestones. The aim of this study was to establish normative values for daily functional recovery in the first 6 weeks after TKA using a wearable device.

METHODS

This prospective study included patients who underwent TKA between 2020 and 2023, treated by 11 surgeons from 8 institutions. Eligible participants were aged 18 or older, had a primary unilateral TKA, and owned a smartphone. Knee range of motion, total daily steps, cadence, and device usage were measured continuously over 6 weeks. Statistical analysis included analysis of variance using post hoc Tukey honest significant difference tests.

RESULTS

The cohort of 566 participants had a mean age of 65 and 69 for men and women, respectively (range, 50 to 80). Women comprised 61% (n = 345) of study participants. There were 82% of women and 90% of men who had a body mass index > 30. The average daily wear time of the device was 12 hours (±4) for a total of 45 days (±27). Recovery was nonlinear, with the greatest gains in the first 3 weeks postsurgery for all metrics. Men demonstrated greater total daily step counts and cadence when compared to women. Obese patients demonstrated poorer performance when compared to lower body mass index patients.

CONCLUSIONS

To our knowledge, this study presents the first normative data for tracking daily functional recovery in TKA patients using wearable sensors. Standardizing the TKA recovery timeline allows surgeons to isolate factors affecting patients' healing processes, accurately counsel them preoperatively, and intervene more promptly postoperatively when rehabilitation is not within standard recovery parameters.

The Impact of Text Messaging to Promote Patient Reported Outcome Measures (PROMs) Completion in Orthopedic Practice: Findings From a Randomized Controlled Study

It is difficult to achieve high response rates to Patient Reported Outcome Measures (PROMs) surveys collected as part of clinical care. However, they are operationally and clinically important. To understand the impact of text message reminders on response rates to PROMs collected via email as part of routine care for hip or knee replacement surgery, initial nonresponders were randomized to receive a text reminder or not at 7 and 12 days, if needed. At day 7, the overall survey response rate was 63%. Model-derived estimates for survey return after this point were 51.1% (95% confidence interval [CI], 48.0%-54.2%) in the text arm compared to 34.5% (95% CI, 31.6%-37.6%) in the no text arm. The effect of text messages on response rates did not vary by subpopulations considered nor were there differences in rates of key outcomes between the 2 groups, suggesting that it did not impact any underlying response bias. Given the relative low cost of text messages, they can be an efficient means to increase response rates.

Is the Promise of PROMs Being Realized? Implementation Experience in a Large Orthopedic Practice

Patient-reported outcome measures (PROMs), increasingly used for research and quality measurement, are lauded for their potential to improve patient-centered care, both through aggregate reporting and when integrated into clinical practice. However, there are few published studies of the resultant use of PROMs in clinical practice. This case study describes the implementation and use of PROMS in a Midwestern multispecialty medical group orthopedic practice among patients undergoing total knee and hip surgery. Specifically, rates of PROMs use by care teams are tracked over time once made available in the electronic health record. During this time, the orthopedics department achieved a patient PROMS survey response rate of 68% at baseline, 58% 3 months post-surgery, and 55% 12 months post-surgery. However, these data were only accessed by the care teams for fewer than 1% of associated clinical encounters. This suggests that making PROMs available for care team review in the electronic health record, even when coupled with relatively high response rates from patients and departmental leadership support is not enough to encourage integration of PROMs into clinical care for patients. Additional effort is required to identify barriers to PROMs use in clinical care and to test methods to enhance use.