Short-Term Patient-Reported Outcomes After Facial Skin Cancer Surgery: A Prospective Longitudinal Study Using the FACE-Q Skin Cancer Module

This prospective longitudinal study of 288 patients undergoing facial skin cancer surgery reveals that while facial appearance and psychosocial distress initially worsen postoperatively, most patients recover to baseline or show significant improvement in appearance, cancer worry, scar satisfaction, and adverse effects by three months, with notable gender differences in appearance recovery.

The Gist

Imagine you're about to get a small, important repair done on the front of your house—maybe a cracked window or a damaged door. You know it's necessary to stop a leak (the cancer), but you're also worried about how the house will look while the work is being done and how long it will take to look "normal" again.

This study is like a detailed diary kept by 288 homeowners (patients) who had facial skin cancer surgery. The researchers used a special "satisfaction meter" called the FACE-Q to track how these patients felt about their faces, their stress levels, and their worries from before the surgery, through the messy recovery week, and up to three months later.

Here is the story of what they found, broken down into simple concepts:

1. The "Ugly Duckling" Phase (The First Week)

Think of the first week after surgery like the "construction zone" phase.

• What happened: Right after the surgery, everyone felt worse. Their faces were swollen, bruised, and bandaged.
• The Feeling: Patients felt their appearance dropped significantly, and their stress levels spiked. It was like looking at your house while it was covered in scaffolding and wet cement.
• The Result: This is the "valley" of the recovery curve. It's a predictable dip where things look and feel their worst.

2. The "Spring Cleaning" Phase (Three Months Later)

By the three-month mark, the scaffolding is down, and the paint is dry.

• What happened: For most people, the swelling went down, the scars faded a bit, and the "construction noise" stopped.
• The Feeling:
  • Appearance: Most people felt their face looked just as good as it did before the surgery (or even better).
  • Worry: The fear of having cancer dropped dramatically. Once the tumor was gone and the doctors said the edges were clean, the mental burden lifted like a heavy backpack being set down.
  • Side Effects: The annoying symptoms (bruising, numbness, drainage) mostly vanished.

3. The "Not Everyone's Story" Twist

Here is where the study gets really interesting. While the average person recovered well, the "average" hides some important individual stories.

• The "Stuck" Group: About 23% of patients did not bounce back. Even after three months, they still felt their face looked worse than before. It's like the construction crew left, but the paint job still looks a little off to them. This is a crucial warning for doctors: telling a patient "you'll be fine" based on the average isn't enough; you have to warn them that there's a real chance they might not feel 100% satisfied.
• The Gender Gap: The study found a surprising difference between men and women.
  • Men: Generally felt their faces looked better after three months than before.
  • Women: On average, felt their faces looked worse than before.
  • Why? The authors guess this might be because women often face higher societal pressure to look perfect, or they might have higher expectations for the result. It's like if a man and a woman both get a new roof; the man might be happy it's fixed, while the woman is hyper-focused on whether the color matches the siding perfectly.

4. The "Relief" Factor

The biggest winner in this story was Cancer Worry.

• Before surgery, patients were anxious about the cancer.
• After surgery, that worry evaporated for most people. It's the psychological equivalent of finally getting a flat tire fixed; you stop worrying about the car breaking down and start enjoying the drive again.

The Big Takeaway for Patients and Doctors

This study tells us that recovery isn't a straight line up; it's a dip and a rise.

1. Expect the Dip: Tell patients, "It's going to look and feel worse for a week. That's normal. Don't panic."
2. Expect the Rise: Tell them, "By three months, most people feel great again."
3. Manage Expectations: Doctors need to have a honest chat, especially with female patients, about the fact that while most people recover well, about 1 in 4 might still feel unhappy with how their face looks after three months.

In short: The surgery is a temporary storm that clears the air. The storm is messy and scary at first, but for most, the sky clears up beautifully by the third month. However, a few people might still be looking for clouds, so doctors need to be ready to help them through that.

Technical Summary

1. Problem Statement

Facial skin cancer is the most common malignancy globally, with surgical excision being the primary treatment. While oncological outcomes are well-documented, there is a significant gap in understanding the patient-reported outcome (PRO) trajectories during the early recovery phase.

• The Gap: Existing literature lacks longitudinal data characterizing how patients' subjective experiences (appearance, distress, worry) evolve from pre-surgery through early recovery (1 week to 3 months).
• The Need: Cross-sectional or single-timepoint assessments fail to capture the temporal arc of recovery, limiting the ability of clinicians to provide accurate preoperative counseling and manage patient expectations regarding the "dip" in quality of life immediately post-surgery.

2. Methodology

Study Design & Population:

• Type: Prospective longitudinal cohort study.
• Setting: Tertiary academic medical center (Amsterdam UMC, The Netherlands).
• Participants: 288 consecutive patients (Mean age: 68.6 ± 11.9 years; 46.5% female) scheduled for surgical excision of histologically confirmed facial skin malignancy.
• Exclusion: Patients unable to complete questionnaires in Dutch.

Instrumentation:

• Tool: FACE-Q Skin Cancer Module.
• Timepoints: Preoperatively (Baseline), 1 week postoperatively, and 3 months postoperatively.
• Scales Evaluated:
  1. Satisfaction with Facial Appearance (9 items; 0–100 scale).
  2. Psychosocial Distress (8 items; higher scores = more distress).
  3. Cancer Worry (10 items; higher scores = more worry).
  4. Satisfaction with Scars (8 items; administered from week 1).
  5. Adverse Effects of Treatment (10 items; administered from week 1; higher scores = more effects).
• Scoring: Raw scores were linearly transformed to a 0–100 scale.

Statistical Analysis:

• Longitudinal Change: Friedman tests for overall change across three timepoints.
• Pairwise Comparisons: Paired t-tests and Wilcoxon signed-rank tests.
• Effect Sizes: Cohen's d and Standardized Response Mean (SRM).
• Individual Trajectories: Classified as "Improved," "Stable," or "Worsened" based on Minimally Important Difference (MID) thresholds (Appearance MID = 5.6; Distress/Worry MID = 6.2).
• Subgroup Analysis: Mann–Whitney U (Sex) and Kruskal–Wallis (Age).
• Software: Python 3.11 with SciPy 1.11.

3. Key Contributions

• Characterization of Recovery Arcs: Provides the first detailed longitudinal mapping of five distinct PRO domains from pre-op to 3 months post-op using a validated, disease-specific instrument.
• Quantification of Heterogeneity: Moves beyond group averages to classify individual patient trajectories, revealing that a significant subset of patients do not follow the "average" recovery curve.
• Identification of Sex-Based Disparities: Highlights a statistically significant divergence in facial appearance recovery between men and women.
• Clinical Utility: Establishes evidence-based timelines for when patients typically experience peak distress versus when they begin to recover, aiding in preoperative expectation management.

4. Key Results

Attrition:

• 87.5% (252/288) completed the 1-week follow-up.
• 76.4% (220/288) completed the 3-month follow-up.
• Non-completers were significantly older than completers ($p=0.003$).
• 1-year follow-up failed (0.6% response rate).

Longitudinal Outcomes (Group Averages):

• Facial Appearance: Showed a "dip and recover" pattern. Scores dropped from baseline (55.6) to 1 week (52.0, $p=0.005$) due to edema/bruising, then recovered to 57.0 at 3 months (statistically equivalent to baseline, $p=0.274$).
• Psychosocial Distress: Increased acutely at 1 week (14.5 $\to$ 19.0, $p<0.001$). By 3 months, it improved to 17.1 but remained significantly elevated compared to baseline ($p=0.012$).
• Cancer Worry: Decreased substantially from baseline to 3 months (25.2 $\to$ 17.2; SRM = -0.54, medium effect), indicating psychological relief after tumor removal.
• Adverse Effects: Showed the largest improvement (SRM = -0.88, large effect), dropping from 29.4 at 1 week to 16.0 at 3 months as physical symptoms resolved.
• Scar Satisfaction: Improved significantly from 1 week (53.6) to 3 months (62.0).

Individual Trajectories (Baseline to 3 Months):

• Appearance: 36.9% improved, 39.6% stable, 23.4% experienced meaningful deterioration.
• Psychosocial Distress: 51.4% stable, 28.8% worsened, 19.8% improved.
• Cancer Worry: 52.3% improved, 32.4% stable, 15.3% worsened.

Subgroup Analysis:

• Sex Differences: A significant divergence was found in Facial Appearance. Men showed a mean improvement of +4.9 points, whereas women showed a mean decline of -2.2 points ($p=0.022$). No significant sex differences were found for distress or worry.
• Age: No statistically significant differences in recovery patterns across age groups (<60, 60–70, >70).

5. Significance and Clinical Implications

• Predictable Pattern: The study confirms a predictable short-term recovery pattern: acute perioperative worsening followed by recovery by 3 months for most domains.
• Counseling Adjustments:
  • Surgeons should warn patients that appearance satisfaction will likely dip at 1 week before recovering.
  • Sex-Specific Counseling: Female patients should be counseled that they are statistically more likely to experience a decline in appearance satisfaction compared to male patients, potentially requiring targeted psychosocial support.
  • Distress Management: Since psychosocial distress does not fully return to baseline by 3 months, clinicians should anticipate the need for prolonged psychological support for some patients.
• Risk Communication: The finding that ~23% of patients experience meaningful, persistent deterioration in appearance satisfaction challenges the assumption that "most" patients recover fully, necessitating more realistic risk disclosure.

Limitations:

• High attrition at 1 year prevented long-term analysis.
• Lack of data on specific tumor characteristics or surgical techniques limits subgroup analysis by procedure type.
• Single-center study may limit generalizability.
• No correction for multiple comparisons in exploratory subgroup analyses.