Physical Therapy Utilization and 12-Month Pain and Functional Improvement in Patients Undergoing Arthroscopic Rotator Cuff Repair Surgery: A Case Series

This case series study found that while baseline patient-reported measures can predict 12-month pain and functional outcomes following arthroscopic rotator cuff repair, physical therapy utilization factors such as wait time and visit frequency were not significantly associated with postoperative improvements.

The Gist

Imagine your shoulder is like a complex, high-performance engine. Sometimes, the "belts" inside (the rotator cuff tendons) get frayed or torn. When conservative fixes like rest or medication stop working, surgeons perform a Rotator Cuff Repair (RCR) to stitch those belts back together.

But here's the big question: How much does the "tuning" (Physical Therapy) actually matter for how well the engine runs a year later?

This study is like a mechanic trying to figure out if the specific timing of your tune-up visits or how often you show up to the shop predicts how smooth your car will run a year down the road.

The Big Question

The researchers wanted to know two things:

1. Does the "schedule" matter? Does starting therapy sooner after surgery, or going to therapy more often, lead to less pain and better movement a year later?
2. What can we expect? If you have a certain amount of pain or stiffness before surgery, what does your recovery look like after?

The Experiment (The "Garage" Setup)

The team looked at 29 patients who had their shoulder "engine" repaired at a university hospital. They tracked:

• The "Wait Time": How long did patients wait before their first therapy visit?
• The "Mileage": How many therapy visits did they go to in the first 6 months?
• The "Dashboard Gauges": They measured pain (0–10 scale) and function (how well you can reach, lift, and dress yourself) before surgery and 12 months after.

They compared these numbers to see if the therapy schedule was the "secret sauce" for a good recovery.

The Surprising Results

The researchers had a hunch (hypothesis) that sooner is better and more visits are better. They thought, "If you start fixing the car immediately and visit the mechanic often, the car will run perfectly."

But the data told a different story.

1. The Schedule Didn't Predict the Outcome:
   It turns out, whether you waited 3 days or 3 weeks to start therapy, or whether you went to the gym 10 times or 30 times, it didn't statistically change your pain or function scores a year later.

   • The Analogy: Imagine two runners. One starts training the day after the race starts, and the other waits a week. One runs 100 miles a week, the other runs 50. At the end of the year, their final times weren't determined by when they started or how much they ran, but by something else entirely.

2. The "Starting Line" Was the Real Predictor:
   The only thing that reliably predicted how a patient would feel a year later was how they felt before the surgery.

   • Pain: If you had high pain before surgery, you likely still had higher pain a year later (though you still improved!). If you had low pain before, you likely had low pain after.
   • Function: If you were already moving well before surgery, you had less "room to grow," so your improvement score was smaller. If you were very stiff before, you had a huge "room to grow," so your improvement score was massive.
   • The Analogy: Think of it like a student taking a math test. If a student starts with a 40% grade, they might jump to a 70% (a huge improvement). If they start with a 90%, they might only go to a 95% (a small improvement). The final grade depends heavily on the starting grade, not just how many extra tutoring sessions they attended.

What This Means for You (The Takeaway)

• Don't Panic if You Wait: If you can't get a therapy appointment immediately after surgery, don't worry that you've ruined your recovery. The study suggests the timing isn't the magic switch.
• Don't Stress the Count: Going to therapy 30 times isn't necessarily a guarantee of a "perfect" shoulder compared to going 15 times.
• Manage Expectations: The most important thing to know is your starting point.
  • If you are in a lot of pain before surgery, you will likely still feel some pain a year later, but you will feel much better than you did before.
  • If you are already moving okay, don't be discouraged if your "improvement score" looks small; you were already doing well!

The "But..." (Limitations)

The authors admit this study was like looking at a small sample of cars (only 29 patients). Because the group was small, they couldn't run the most complex statistical tests to be 100% sure. They also noted that they couldn't track if patients did their "homework" (home exercises) or if they had other health issues like diabetes that might affect healing.

The Bottom Line

Recovery from shoulder surgery is less about the schedule of your physical therapy and more about your starting condition. Your baseline pain and function are the best crystal ball we have for predicting your future. While therapy is essential for healing, the specific "dosage" (how many visits or how soon you start) didn't seem to be the deciding factor for how well you felt a year later in this specific group of patients.

Technical Summary

1. Problem Statement

Arthroscopic Rotator Cuff Repair (RCR) is a frequently performed orthopedic procedure, yet postoperative rehabilitation protocols vary significantly among providers. These variations are often based on clinician experience rather than robust evidence. While physical therapy (PT) utilization rates are high (approx. 80–82%), there is a lack of data regarding whether specific PT utilization factors—such as wait time to initial evaluation and visit frequency—predict long-term patient-reported outcomes (PROs). Furthermore, clinicians lack granular reference data to set realistic patient expectations regarding the magnitude of pain and functional improvement at the 12-month mark.

2. Methodology

• Study Design: Retrospective cohort analysis of a prospectively maintained patient-reported outcome database.
• Setting: A large, urban, tertiary academic medical center in the Southern United States.
• Participants:
  • Initial Pool: 60 consecutive patients undergoing arthroscopic RCR (CPT 29827) between April 2018 and October 2021.
  • Final Sample: 29 patients with complete 12-month Visual Analog Scale (VAS) data; 24 patients with complete 12-month American Shoulder and Elbow Surgeons (ASES) functional data.
  • Exclusion Criteria: Revision surgeries, patients in the criminal justice system, and those missing outcome data or PT visits at the affiliated clinic.
• Intervention/Protocol:
  • Standardized surgical technique (beach chair position, interscalene block).
  • Rehabilitation: A standardized protocol dictated by tear size.
    • Small tears (≤3cm): Single-row repair, 4 weeks immobilization, passive ROM at 4 weeks.
    • Large/Retracted tears: Double-row repair, 6 weeks immobilization, passive ROM at 2 weeks.
• Variables:
  • Independent Variables: Demographics (age, sex, race, ethnicity), clinical factors (tear size, preoperative VR-12 Mental Component Score), and PT utilization metrics (days to first PT evaluation, total PT visits within 6 months categorized by frequency).
  • Dependent Variables: 12-month VAS score (pain), 12-month VAS improvement, 12-month ASES functional score, and 12-month ASES functional improvement.
• Statistical Analysis:
  • Univariate analyses (Kruskal-Wallis for categorical, simple linear regression for continuous).
  • Four multivariable linear regression models created to predict the four dependent variables.
  • Significance set at $P < 0.05$.
  • Note: Due to non-normal distribution of final scores (clustering at 0 for VAS and max for ASES), non-parametric comparisons were utilized, though linear regression was applied to improvement scores which were normally distributed.

3. Key Contributions

• Evidence Gap: This study addresses the lack of evidence linking specific PT utilization metrics (wait time, visit frequency) to long-term RCR outcomes in an academic setting.
• Predictive Modeling: It attempts to isolate whether modifiable rehabilitation factors (PT timing/dosage) or non-modifiable baseline factors (pre-op pain/function) are stronger predictors of 12-month success.
• Clinical Reference Data: Provides specific quantitative data on expected pain reduction and functional gains at 12 months to assist in patient counseling.

4. Results

• Demographics: Median age was 62 years; median baseline VAS was 4.9; median baseline ASES was 45.
• Univariate Findings:
  • Pain (VAS): 12-month VAS scores were significantly associated with baseline VAS ($P=0.0286$). Higher preoperative pain predicted higher 12-month pain.
  • Pain Improvement: 12-month VAS improvement was significantly associated with baseline VAS ($P=0.0017$). Higher preoperative pain predicted greater pain improvement (0.6 point improvement per 1.0 point baseline increase).
  • Function (ASES): 12-month ASES scores showed no significant association with any variable in univariate analysis.
  • Functional Improvement: 12-month ASES improvement was significantly inversely associated with baseline ASES ($P=0.0066$). Patients with higher preoperative function showed less functional improvement (0.85 point less improvement per 1.0 point baseline increase), likely due to a ceiling effect.
• Multivariable Findings:
  • No Significant Predictors: In multivariable models, no PT utilization factors (wait time, visit frequency) were significant predictors of 12-month outcomes or improvements.
  • Baseline Dominance: Only baseline VAS and baseline ASES scores remained as predictors in univariate analysis, but even these lost significance in the multivariable models due to sample size limitations (overfitting).
• Sample Size Limitation: The study noted a subject-to-variable ratio of 3.2, indicating potential overfitting in the multivariable models, which likely contributed to the lack of statistical significance in the final regression models.

5. Significance and Clinical Implications

• Rehabilitation Planning: The study failed to support the hypothesis that shorter PT wait times or higher visit frequencies lead to better 12-month outcomes. This suggests that within the first 6 months post-op, the volume and timing of PT visits may be less critical than the patient's preoperative status.
• Patient Counseling: Clinicians can use baseline scores to predict outcomes:
  • Patients with high preoperative pain should be counseled that while they will likely experience significant pain improvement, their absolute pain level at 12 months may remain higher than those who started with less pain.
  • Patients with high preoperative function should be counseled that their relative functional improvement may be smaller due to the ceiling effect of the ASES scale.
• Future Research: The authors conclude that larger sample sizes are required to validate multivariable predictors. Future studies should also investigate range of motion and strength gains, as well as structural outcomes (e.g., re-tear rates), which were not captured in this PRO-focused study.

Conclusion: In this cohort, 12-month pain and functional outcomes following RCR were primarily driven by baseline patient characteristics rather than physical therapy utilization metrics (wait time or frequency). While the study did not find significant predictors in multivariable analysis due to sample size constraints, it reinforces the importance of managing patient expectations based on preoperative status.