ORIGINAL REPORT

Patient Reported Outcomes in Multidisciplinary Care for High-risk Head and Neck Cutaneous Squamous Cell Carcinoma

Emmy C. CRÜTS1, Myrthe M.G. MOERMANS1 symbol, Patty J. NELEMANS2, Lieke C.J. VAN DELFT1 symbol, Eric A. DIK3, Satish F.K. LUBEEK4 symbol, Nicole W.J. KELLENERS-SMEETS1 symbol and Klara MOSTERD1

1Department of Dermatology, Maastricht University Medical Centre+, Maastricht; GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, 2Department of Epidemiology, Maastricht University, Maastricht, 3Department of Oral and Maxillofacial Surgery, Radboud University Medical Centre, Nijmegen, and 4Department of Dermatology, Radboud University Medical Centre, Nijmegen, The Netherlands

Multidisciplinary care pathways may improve quality of care, yet little is known about patients’ perspectives regarding multidisciplinary treatment for high-risk head and neck cutaneous squamous cell carcinoma. This study examined health-related quality of life, decisional conflict, and satisfaction with care in 78 high-risk head and neck cutaneous squamous cell carcinoma patients undergoing multidisciplinary care. Pre-treatment, patients completed a baseline questionnaire, the EuroQoL-5D-5L, and the Decisional Conflict Scale. One month post-treatment, they completed the EuroQoL-5D-5L, Basal and Squamous Cell Carcinoma Quality of Life, and EORTC IN-PATSAT32 satisfaction questionnaires. Mean generic health-related quality of life scores were 0.76 pre-treatment and 0.81 post-treatment (p = 0.077), with minimal impact on disease-specific health-related quality of life (mean Basal and Squamous Cell Carcinoma Quality of Life scores ranging from 0.46 to 1.05). However, 73.7% of patients expressed worries about prognosis, and 12% of patients reported concerns regarding diagnosis and treatment substantially affecting health-related quality of life. The mean Decisional Conflict Scale total score was 26.61, with 19.2% of patients exceeding the clinically relevant threshold of 37.5, indicating decision delay or uncertainty regarding implementation. Approximately one-third of patients reported a need for better decision-making support. Overall, patients reported high satisfaction with care. In conclusion, while multidisciplinary care had minimal impact on health-related quality of life and resulted in high patient satisfaction, one-third of patients required more comprehensive information and value clarification.

SIGNIFICANCE

Diagnosis and treatment of high-risk head and neck cutaneous squamous cell carcinoma often benefits from a multidisciplinary approach. As little is known about how patients experience this care, we investigated the health-related quality of life, decisional conflict, and satisfaction with care in 78 patients with high-risk head and neck cutaneous squamous cell carcinoma. On average, patients experienced limited impact on health-related quality of life, no serious decisional conflicts, and were satisfied with care. However, many patients were worried about their prognosis, diagnosis, and treatment. Results indicate room for improvement regarding information provision and clarification of personal values.

Key words: cutaneous squamous cell carcinoma; head and neck; high risk; multidisciplinary care; questionnaires; quality of life.

 

Citation: Acta Derm Venereol 2026; 106: adv44413. DOI: https://doi.org/10.2340/actadv.v106.44413.

Copyright: © 2026 The Author(s). Published by MJS Publishing, on behalf of the Society for Publication of Acta Dermato-Venereologica. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/).

Submitted: Jul 17, 2025. Accepted after revision: Mar 17, 2026. Published: May 14, 2026.

Corr: Emmy C. Crüts, Department of Dermatology, Maastricht University Medical Centre+, Maastricht, The Netherlands. E-mail: e.cruts@mumc.nl

Competing interests and funding: The authors have no conflicts of interest to declare.

 

INTRODUCTION

Cutaneous squamous cell carcinoma (cSCC) accounts for 20% of keratinocyte carcinomas and has a continuously rising incidence (1, 2). In general, cSCC is known to have a good prognosis with overall 5-year disease-specific survival rates of 79.1–99.4% (35).

The American Joint Committee on Cancer (AJCC) classifies high-risk cSCC based on several factors, including invasion beyond the subcutaneous fat or > 6 mm, perineural invasion (nerve deeper than the dermis or ≥ 0.1mm in diameter), and minor bone erosion (6, 7). Additional high-risk features include tumour location (lip, ear, temple, and cheek), tumour diameter (≥ 2 cm), poor differentiation, nodal metastasis, and immunosuppression (6).

Approximately 80% of all cSCCs occur in the sun-exposed head and neck area, which is associated with a 1.5 to 3.8 times higher risk of poor prognostic outcomes compared with cSCCs located on other areas of the skin (3, 812). Patients with high-risk cSCC located in the head and neck area (HR-HNcSCC) are often elderly, in a frail condition with a high prevalence of comorbidities and polypharmacy (13). Besides, the head and neck area is of aesthetic and functional importance (8, 9). Therefore, these patients often require complex care, provided by multiple specialists.

Multidisciplinary care pathways have been developed for patients with HR-HNcSCC to improve quality of the care provided (14). However, little is known about how patients experience these multidisciplinary pathways.

Understanding patient perspectives and values is crucial, as their preferences may differ from medical recommendations, which are often focused on curative intent.

In this study, we investigated health-related quality of life (HRQoL), decisional conflict, and satisfaction with care in HR-HNcSCC patients, to better tailor multidisciplinary care to individual patient situations, needs, and preferences.

MATERIALS AND METHODS

Study design and patients

In this observational descriptive study, we recruited patients with HR-HNcSCC from the multidisciplinary head and neck skin cancer outpatient clinics of Maastricht University Medical Centre (MUMC+) and Radboud University Medical Centre (Radboudumc) from March 2022 until July 2023.

Patients with HR-HNcSCC from the surrounding region are referred to both academic hospitals, where they receive care as part of an established multidisciplinary pathway. This pathway includes a multidisciplinary tumour board comprising a dermatologist, pathologist, radiologist, maxillofacial surgeon, and plastic surgeon. Additionally, patients can be seen by multiple specialists during integrated outpatient consultations. During diagnostic work-up, patients are supported by case managers who facilitate communication between specialties, and guide patients through each step of their care pathway.

Patients were eligible for inclusion if they were over 18 years old and had a histologically diagnosed primary or recurrent HR-HNcSCC, for which multidisciplinary evaluation and treatment took place in the MUMC+ or Radboudumc. Eligible patients willing to participate received relevant information concerning the study and signed informed consent. Patients were excluded if they had inadequate knowledge or understanding of the Dutch language, or were otherwise unable to complete the questionnaires. This study was reviewed by the local Medical Ethics Review Committee of Maastricht UMC+ (METC azM/UM, 2021-2918-A-3).

Data collection

Data on baseline patient, tumour, and treatment characteristics were collected (Table I). These data were derived from patient records and a questionnaire developed by the research team. In addition, whether patients were offered a choice between multiple treatment options was recorded.

Table I. Collected data on baseline patient, tumour, and treatment characteristics
Item Features
Patient-related data Gender
Age at inclusion
World Health Organization (WHO) performance status
Marital status
Educational level
Presence of comorbidities
Presence of informal care
Prior history of skin cancer
Tumour-related data Primary, recurrent, or metastatic tumour
TNM stage according to the 8th edition of the AJCC (Ref. 6)
Largest diameter in millimetres
Location
Degree of differentiation
The presence or absence of perineural and lymphovascular invasion
Invasion depth in millimetres
Treatment-related data Type of treatment
Use of general anaesthesia
Treatment centre (MUMC+ or Radboudumc)

Patient-reported outcomes

Patient-reported outcomes on generic HRQoL, disease-specific HRQoL, decisional conflict, and patient satisfaction with care were evaluated at 2 time points. Patients were asked to complete a baseline questionnaire, the EuroQoL 5 Dimension-5L (EQ-5D-5L), and the Decisional Conflict Scale (DCS) questionnaire (Appendix S1) before treatment (pre-treatment). One month after finishing the entire multidisciplinary pathway, including aftercare such as wound assessments, patients were asked to complete the “post-treatment” EQ-5D-5L, Basal and Squamous Cell Carcinoma Quality of Life (BaSQoL), and European Organisation for Research and Treatment of Cancer Patient Satisfaction (EORTC IN-PATSAT32) questionnaires (Fig. 1). Questionnaires were administered by postal mail, or, if not feasible, by phone. The scores on the questionnaires were calculated using the corresponding standardized manuals (1521).

Figure 1
Fig. 1. Schematic presentation of administration of the questionnaires at 2 specific time points. Abbreviations: EQ-5D-5L, EuroQol 5 Dimension-5L; DCS, Decisional Conflict Scale; BaSQoL, Basal and Squamous Cell Carcinoma Quality of Life; EORTC IN-PATSAT32, European Organisation for Research and Treatment of Cancer Patient Satisfaction.

The selected questionnaires were chosen because they provide insight into different aspects of the patients’ experiences regarding care. The DCS measures decisional conflict regarding health-related decisions, reflecting the patients’ experience of the decision-making process. The BaSQoL is a disease-specific questionnaire evaluating the influence of skin cancer and its treatment on the HRQoL. The generic HRQoL was evaluated using the EQ-5D-5L and was measured at both time points, in order to evaluate change in HRQoL over time. The EORTC IN-PATSAT32 assesses patients’ experiences regarding different aspects of care. More information regarding the different subscales and interpretation of (sub)scores of all questionnaires is provided in Appendix S1.

Statistical analysis

Categorical data were presented as absolute numbers and percentages. Normally distributed continuous data were presented as mean with standard deviation (± SD), and skewed data as median with inter-quartile range (IQR). A paired-samples t-test or non-parametric Wilcoxon test was used to compare the EQ-5D-5L scores pre- and post-treatment. Proportions of patients with scores exceeding clinically relevant cut-off values, as specified in manuals, were computed to signal specific problems among the study population. Differences in baseline characteristics between groups with and without scores exceeding cut-off values were tested for significance. For this purpose, the χ2 or t-test for independent samples or the Mann–Whitney U test was used. All analyses were performed using IBM SPSS Statistics (version 28; IBM Corp, Armok, NY, USA). A two-sided p-value of < 0.05 was considered statistically significant.

Power calculation

The purpose of this study was to describe experiences of patients receiving multidisciplinary care using questionnaires on patient-reported outcomes. One of the goals was to evaluate to what extent the HRQoL is affected by care, measured by means of the EQ-5D-5L. To detect an effect size (Cohen’s d) of 0.5 with a power of 80% and an alpha (two-sided) of 5%, 64 patients were required. When accounting for a potential 20% loss-to-follow-up, 80 patients had to be included.

RESULTS

Patient and tumour characteristics

Between March 2022 and July 2023, 105 participants were eligible to participate in the study. Twenty-five patients refused participation and 2 patients were subsequently excluded as these patients refused treatment for their cSCC. For 20 of the 27 non-responders for whom a limited set of baseline characteristics was available, these characteristics were comparable to those of the study participants. In total, 78 patients completed the pre-treatment questionnaires and 76 patients filled in the post-treatment questionnaires. The median time interval between administering both questionnaires was 15.0 (IQR, 10.0–18.8) weeks.

Baseline patient and tumour characteristics are presented in Table II. The mean age at the time of inclusion was 77.3 (± 8.6) years and 67.9% of patients were male. The proportion of patients with a low education level was 57.9% and 83.3% had a WHO performance status of 0 or 1. The majority of patients (74.4%) received surgical excision, 11.5% were treated with primary radiotherapy, and 12.8% received surgery with adjuvant radiotherapy. One patient (1.3%) received immunotherapy. Among those who underwent surgical excision with or without adjuvant radiotherapy (n = 68), 26.5% had a skin graft, 23.5% underwent primary closure, 17.6% received a local flap, 14.7% were treated with a purse-string suture, and 11.8% experienced secondary granulation. For 4 patients (5.9%), no data was available on the closure technique.

Table II. Patient- and tumour-related characteristics of the total patient population (n = 78)
Feature Total (n = 78)
Gender, n (%)
 Male 53 (67.9)
 Female 25 (32.1)
Age at inclusion, years, mean ± SD 77.3 ± 8.6
WHO performance status, n (%)
 0–1 65 (83.3)
 2–4 13 (16.7)
Education level, n (%)*
 Low 44 (57.9)
 Middle 20 (26.3)
 High 12 (15.8)
 Unknown 2
Marital status
 Single 12 (15.4)
 Married 47 (60.3)
 Widowed 14 (17.9)
 Domestic partnership 5 (6.4)
Informal care, n (%)
 No 52 (67.5)
 Yes 25 (32.5)
 Unknown 1
Comorbidities, n (%)
 No 11 (14.1)
 Yes, 1 13 (16.7)
 Yes, more than 1 54 (69.2)
History of skin cancer, n (%)
 No 35 (44.9)
 Yes 43 (55.1)
Included tumour
 Primary 62 (79.5)
 Recurrent or metastatic 16 (20.5)
Location, n (%)**
 Low-risk location 37 (47.4)
 High-risk location 41 (52.6)
TNM stage, n (%)***
 I 21 (26.9)
 II 15 (19.2)
 III 37 (47.4)
 IV 5 (6.4)
Tumour diameter, mm, median (IQR) 20.0 (11.3–26.0)
General anaesthesia, n (%)
 No 64 (82.1)
 Yes 14 (17.9)
Type of treatment, n (%)
 Surgery 58 (74.4)
 Primary radiotherapy 9 (11.5)
 Surgery and adjuvant radiotherapy 10 (12.8)
 Immunotherapy 1 (1.3)
Closure technique, n (%)
 Secondary granulation 8 (11.8)
 Primary closure 16 (23.5)
 Purse-string suture 10 (14.7)
 Skin graft 18 (26.5)
 Local flap 12 (17.6)
 Missing 4 (5.9)
 Not applicable (no surgery) 10
Treatment centre, n (%)
 MUMC+ 46 (59.0)
 Radboudumc 32 (41.0)
Multiple treatment options offered, n (%)
 No, only 1 36 (46.2)
 Yes, but a strong preference by doctors 17 (21.8)
 Yes, patient decided 25 (32.1)
SD: standard deviation; IQR: interquartile range; DCS: Decision Conflict Scale; WHO: World Health Organization.
*Education level was defined as: low (elementary education, pre-vocational education), middle (middle-level applied education), or high (higher professional or scientific education). **High-risk location was defined as tumours located om the ear, lip, cheek, and temple, according to the AJCC 8th edition (6). ***TNM stage according to the AJCC 8th edition (6).

Health-related quality of life

All 78 patients completed the pre-treatment EQ-5D-5L and 76 patients the post-treatment EQ-5D-5L (97.4%). The mean EQ-5D-5L index value pre-treatment was 0.76 (± 0.23) and slightly increased to 0.81 (± 0.21) post-treatment (p = 0.077) (Table III). The mean EQ-VAS score was comparable pre- and post-treatment at 72.25 (± 16.22) vs 73.42 (± 18.47), respectively (p = 0.625). Pre-treatment, no patient had a mean EQ-VAS score of 100, defined as “best imaginable health” status, whereas post-treatment, 4 patients (5.3%) reported a mean EQ-VAS of 100.

Table III. Results of patient-reported outcomes on the EQ-5D-5L, DCS, BaSQoL, and EORTC IN-PATSAT32 questionnaires (n = 78)
Questionnaire Score Mean ± SD Score Median (IQR 25–75) Missing values, n
Measurements before start of treatment (range of scale)a
EQ-5D-5L
 EQ-Index (0–1) 0.76 ± 0.23 0.82 (0.67–0.90) 0
 EQ-VAS (0–100) 72.25 ± 16.22 80.00 (65.00–80.00) 1
DCS (0–100)
 Total score 26.61 ± 15.47 25.00 (16.41–34.38) 5
 Uncertainty 25.88 ± 18.64 25.00 (16.67–33.33) 2
 Informed decision 32.44 ± 22.58 25.00 (16.67–41.67) 3
 Values clarity 34.98 ± 24.91 25.00 (25.00–50.00) 2
 Support 21.43 ± 18.31 25.00 (0.00–33.33) 1
 Effective decision 21.22 ± 14.83 25.00 (12.50–25.00) 2
Measurements after treatment (range of scale)b
EQ-5D-5L
 EQ-Index (0–1) 0.81 ± 0.21 0.85 (0.74–1.00) 2
 EQ-VAS (0–100) 73.42 ± 18.47 75.00 (60.00–89.50) 2
BaSQoL (0–3)
 Behaviour 0.67 ± 0.62 0.50 (0.25–1.25) 3
 Diagnosis and treatment 1.05 ± 0.80 1.00 (0.33–1.33) 3
 Worries 1.00 ± 0.78 1.00 (0.50–1.50) 2
 Appearance 0.46 ± 0.71 0.00 (0.00–0.67) 2
 Other people 0.91 ± 0.78 1.00 (0.00–1.50) 2
EORTC IN-PATSAT32 (0–100)
 Doctors’ technical skills 77.82 ± 21.25 75.00 (58.33–100.00) 4
 Doctors’ interpersonal skills 76.30 ± 20.82 75.00 (58.33–100.00) 4
 Doctors’ information provision 75.68 ± 20.64 75.00 (54.17–100.00) 5
 Doctors’ availability 69.79 ± 24.17 75.00 (50.0–100.00) 6
 Nurses’ technical skills 75.30 ± 19.34 75.00 (58.3–100.00) 9
 Nurses’ interpersonal skills 75.30 ± 18.69 75.00 (60.42–91.67) 9
 Nurses’ information provision 72.71 ± 19.43 75.00 (50.00–91.67) 9
 Nurses’ availability 71.97 ± 21.27 75.00 (50.00–90.63) 12
 Interaction with professional 67.97 ± 17.04 66.67 (50.00–75.00) 30
 Waiting time 66.30 ± 20.93 62.50 (50.00–81.25) 9
 Access 69.64 ± 19.10 75.00 (50.00–75.00) 8
 Exchange of information between caregivers 64.62 ± 21.15 75.00 (50.00–75.00) 13
 Comfort/Cleanliness 72.14 ± 20.21 75.00 (50.00–100.00) 8
 General satisfaction 79.85 ± 17.54 75.00 (75.00–100.00) 11
EQ-Index and EQ-VAS: score 1 and 100, respectively represent highest possible HRQoL; DCS: score 100 represents the highest possible degree of decisional conflict; BaSQoL: score 3 represents the highest possible impact on HRQoL; EORTC IN-PATSAT32: score 100 represents the highest possible level of satisfaction with care.
aPre-treatment; bPost-treatment; SD: standard deviation.

Seventy-four patients (94.9%) completed all questions on the BaSQoL questionnaire. The mean scores on the subscales ranged between 0.46 and 1.05, reflecting “no” to “little impact” on disease-specific HRQoL. The highest mean scores were observed for subscales diagnosis and treatment and worries. Nine patients (12%) reported substantial concerns relating to the diagnosis and treatment. Fifty-six patients (73.7%) expressed worries about metastasis and the future, with these worries being substantial in 7.9% of patients. Fifty-seven patients (76%) reported that the word “cancer” frightened them at the time of diagnosis. In contrast, the subscale appearance had the lowest mean score, indicating minimal impact of appearance-related concerns on quality of life (Table III).

Decisional conflict

The DCS was completed by 73 patients (93.6%). The mean DCS total score was 26.61 (± 15.47), which is below the threshold of 37.5 associated with clinically significant doubt about the decision (see Table III) (21). In 19.2% of patients (n = 14), the DCS score was higher than 37.5. The highest mean scores were observed in the subscales informed decision at 32.44 (± 22.58) and values clarity at 34.98 (± 24.91). In respectively 32.0% and 34.2% of patients, the scores on these subscales exceeded 37.5, reflecting uncertainty or delay in the decision-making process.

To contextualize the degree of decisional conflict, patients were asked if they were offered a choice between multiple treatment options. According to 36 patients (46.2%), 1 treatment option was offered. Seventeen patients (21.8%) recalled that they were given multiple treatment options, but with a recommendation for 1 preferred treatment, and 25 patients (32.1%) reported they had a choice between multiple treatment options without a strong preference stated by the multidisciplinary team. The mean DCS total score was quite similar between these 3 groups: 24.77 (± 13.30), 28.71 (± 11.94), and 27.85 (± 20.27) (p = 0.618), respectively.

Satisfaction with care

Forty-two patients (53.8%) fully completed the EORTC IN-PATSAT32 questionnaire. The mean score on the subscale general satisfaction was 79.85 (± 17.54). There was no significant difference in mean general satisfaction between treatment centres (78.13 ± 17.16 vs 82.41 ± 18.10, p = 0.299). The mean scores on all the other subscales of the EORTC IN-PATSAT32, specific for different aspects of the care pathway, ranged between 64.62 ± 21.15 (exchange of information between caregivers subscale) and 77.82 ± 21.25 (doctors’ technical skills subscale) (see Table III). There is a high number of missing values for several subscales of the EORTC IN-PATSAT32 questionnaire, as some questions might not have been applicable to patients with short hospital visits.

Factors associated with patient-reported outcomes

Differences in relevant baseline characteristics between groups with and without scores exceeding cut-off values were explored. Patients for whom concerns over diagnosis and treatment substantially affected HRQoL were more often female (66.7% vs 27.3%, p = 0.026). Patients with a score exceeding 37.5 on the DCS informed decision subscale were more likely to have a tumour ≥ 2 cm in diameter (71.4% vs 44.0%, p = 0.041). Patients with a score of ≤ 75 on the general satisfaction with care subscale more often had comorbidities (95.3% vs 70.8%, p = 0.018) compared with patients with scores exceeding 75. No other clinically relevant differences between patient, tumour, and treatment characteristics within these groups were found.

DISCUSSION

This observational descriptive study evaluating patient-reported outcomes during multidisciplinary care in patients with HR-HNcSCC shows that generic HRQoL was already high pre-treatment and increased slightly post-treatment. Although cSCC had limited impact on the disease-specific HRQoL, a subset of patients reported concerns related to their diagnosis and treatment and worries about prognosis to be of substantial impact on their HRQoL. Generally, satisfaction with care was high.

Arts et al. (22) investigated the disease-specific HRQoL and satisfaction with care in patients with keratinocyte carcinoma and found mean scores on the subscales of the BaSQoL ranging from 0.3 to 0.9. Waalboer-Spuij et al. (20) found mean BaSQoL subscale scores ranging from 0.3 to 1 in patients with cSCCs. In line with our findings, both studies report the highest scores on the diagnosis and treatment and worries subscales, and the lowest score on the appearance subscale (20, 22). The high score on the diagnosis and treatment subscale may be associated with the shock of being diagnosed with cancer, as the word “cancer” at the time of diagnosis frightened 76% of patients. Aymonier et al., who used a self-designed questionnaire, found that 36.1% of patients with BCC and 66.8% of patients with localized melanoma were shocked by this diagnosis (23). In patients with HR-HNcSCC often large and mutilating invasive treatments are required, which may also contribute to patients’ concerns regarding diagnosis and treatment. The high score on the subscale worries regarding prognosis might be associated with the risk of recurrence and/or metastasis in cSCC, despite the still rather high probability of progression-free survival (35). Providing patients with verbal and written information concerning the diagnosis, treatment, and corresponding survival rates might help to reduce their concerns on these topics.

Although the mean DCS total score of 26.61 (± 15.47) was well below the threshold of 37.5 for clinically significant decisional conflict, 20% of patients had a mean DCS total score exceeding 37.5. Additionally, around one-third of patients reported a score > 37.5 on the subscales informed decision and values clarity. Other studies in patients with head and neck cSCC and BCC reported that patients feel insufficiently informed about the available treatment options, and the benefits, risks, and side effects of the treatment options (24, 25). In the current study, approximately half the patients (46.3%) recalled being offered only 1 treatment option, which may have contributed to feeling less involved in decision-making, or feeling uninformed or unable to express their personal values and needs. Improvement of care can be expected when focusing on patients’ understanding of diagnosis, treatment, and prognosis. Besides, it is essential to consider which treatment fits a patient’s personal situation and to clarify their values, priorities, and needs, as patient preferences might differ from the doctor’s recommendations. This is particularly important in this group of frail patients, who require complex care and may experience a substantial impact on QoL as a result of treatment decisions. Patients may, for example, prioritize outcomes such as independence, symptom relief, and minimizing treatment burden over curative intent, which may conflict with the medical treatment preference. Therefore, value clarification is crucial to ensure that treatment decisions are truly reflecting the patient’s wishes and priorities. These goals might be achieved by patient-centred counselling, better involvement of patients and caregivers in decision-making, and explicitly eliciting patient preferences, which allows patients to make a well-informed decision based on personal values. This is supported by van Winden et al., who recommend adopting a holistic approach and usinge screening tools (for example Geriatric 8) to identify patients who require additional counselling regarding their treatment decision (26).

The mean score on the EORTC IN-PATSAT32 general satisfaction subscale was 79.85 (± 17.54), reflecting high general satisfaction. This score was remarkably higher than found in patients with low-risk head and neck keratinocyte carcinoma in a population with similar baseline characteristics (22). The higher satisfaction in our study population might be explained by the multidisciplinary approach.

Strengths and limitations

Due to prospective data collection, data were consistent and relatively complete. A limitation of this study is that patients were asked to participate in the study by their treating physician, which may have inclined them to answer questions in a socially desirable way, also called social desirability bias. Furthermore, the fact that 25.8% of the eligible patients refused to participate could impact the generalizability of our results, especially as participants in patient-reported outcome studies often report more favourable outcomes compared with non-respondents (27). Although our study was powered for the primary outcome, we also explored between-group differences in relevant baseline characteristics. These analyses had no predefined hypotheses and the study may not have been sufficiently powered to detect such differences. Nonetheless, these results offered valuable insights into patient and tumour characteristics that may influence patient-reported outcomes.

Conclusion

While most patients reported high satisfaction and limited impact of the disease on their HRQoL, significant challenges remain in informed decision-making and clarity regarding personal values. To optimize care, healthcare providers should focus on enhancing communication and decision support for patients. This includes providing more detailed information on the diagnosis, treatment options, and prognosis, and ensuring that patients have a clear understanding of their personal preferences and values in the decision-making process. Addressing these areas could improve both patient satisfaction and the overall quality of care in HR-HNcSCC management.

ACKNOWLEDGEMENTS

The authors would like to thank Inze van den Udenhout for her assistance with data collection.

Data availability statement: The data underlying this article will be shared on reasonable request to the corresponding author.

Ethics statement: The patients in this manuscript have given written informed consent to publication of their case details. Approved by Medical Ethical Committee azM/UM, Maastricht University Medical Centre. Approval number: 2021-2918-A-3.

Trial registration: NCT05482880 (ClinicalTrials.gov).

REFERENCES

  1. Stratigos AJ, Garbe C, Dessinioti C, Lebbe C, Bataille V, Bastholt L, et al. European interdisciplinary guideline on invasive squamous cell carcinoma of the skin: Part 1. epidemiology, diagnostics and prevention. Eur J Cancer 2020; 128: 60–82. https://doi.org/10.1016/j.ejca.2020.01.007
  2. Keim U, Katalinic A, Holleczek B, Wakkee M, Garbe C, Leiter U. Incidence, mortality and trends of cutaneous squamous cell carcinoma in Germany, the Netherlands, and Scotland. Eur J Cancer 2023; 183: 60–68. https://doi.org/10.1016/j.ejca.2023.01.017
  3. Tokez S, Wakkee M, Kan W, Venables ZC, Mooyaart AL, Louwman M, et al. Cumulative incidence and disease-specific survival of metastatic cutaneous squamous cell carcinoma: a nationwide cancer registry study. J Am Acad Dermatol 2022; 86: 331–338. https://doi.org/10.1016/j.jaad.2021.09.067
  4. Soleymani T, Brodland DG, Arzeno J, Sharon DJ, Zitelli JA. Clinical outcomes of high-risk cutaneous squamous cell carcinomas treated with Mohs surgery alone: an analysis of local recurrence, regional nodal metastases, progression-free survival, and disease-specific death. J Am Acad Dermatol 2023; 88: 109–117. https://doi.org/10.1016/j.jaad.2022.06.1169
  5. Tschetter AJ, Campoli MR, Zitelli JA, Brodland DG. Long-term clinical outcomes of patients with invasive cutaneous squamous cell carcinoma treated with Mohs micrographic surgery: a 5-year, multicenter, prospective cohort study. J Am Acad Dermatol 2020; 82: 139–148. https://doi.org/10.1016/j.jaad.2019.06.1303
  6. Califano JA. AJCC Cancer Staging Manual. 8th ed. Chapter 15: Cutaneous carcinoma of the head and neck. Chicago, IL: American Joint Committee on Cancer; 2017.
  7. Schmults CD. High-risk cutaneous squamous cell carcinoma: a practical guide for patient management. Anticancer Res 2016; 36: 4375. https://doi.org/10.1007/978-3-662-47081-7
  8. Schmults CD, Karia PS, Carter JB, Han J, Qureshi AA. Factors predictive of recurrence and death from cutaneous squamous cell carcinoma: a 10-year, single-institution cohort study. JAMA Dermatol 2013; 149: 541–547. https://doi.org/10.1001/jamadermatol.2013.2139
  9. Brantsch KD, Meisner C, Schonfisch B, Trilling B, Wehner-Caroli J, Rocken M, et al. Analysis of risk factors determining prognosis of cutaneous squamous-cell carcinoma: a prospective study. Lancet Oncol 2008; 9: 713–720. https://doi.org/10.1016/S1470-2045(08)70178-5
  10. Venables ZC, Autier P, Nijsten T, Wong KF, Langan SM, Rous B, et al. Nationwide incidence of metastatic cutaneous squamous cell carcinoma in England. JAMA Dermatol 2019; 155: 298–306. https://doi.org/10.1001/jamadermatol.2018.4219
  11. Brougham ND, Dennett ER, Cameron R, Tan ST. The incidence of metastasis from cutaneous squamous cell carcinoma and the impact of its risk factors. J Surg Oncol 2012; 106: 811–815. https://doi.org/10.1002/jso.23155
  12. Stratigos AJ, Garbe C, Dessinioti C, Lebbe C, van Akkooi A, Bataille V, et al. European consensus-based interdisciplinary guideline for invasive cutaneous squamous cell carcinoma. Part 1: Diagnostics and prevention – Update 2023. Eur J Cancer 2023; 193: 113251. https://doi.org/10.1016/j.ejca.2023.113251
  13. Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet 2013; 381: 752–762. https://doi.org/10.1016/S0140-6736(12)62167-9
  14. Centre for Policy on Ageing. The effectiveness of care pathways in health and social care; 2014. Available from: http://www.cpa.org.uk/information/reviews/CPA-Rapid-Review-Effectiveness-of-care-pathways.pdf
  15. EQ-5D-5L. EuroQol; 2021 (last update January 21, 2025). Available from: https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-5l/
  16. O’Connor AM. Validation of a decisional conflict scale. Med Decis Making 1995; 15: 25–30. https://doi.org/10.1177/0272989X9501500105
  17. O’Connor AM, Jacobsen MJ, Stacey D. An evidence-based approach to managing women’s decisional conflict. J Obstet Gynecol Neonatal Nurs 2002; 31: 570–581. https://doi.org/10.1111/j.1552-6909.2002.tb00083.x
  18. O’Connor A. User manual – Decisional Conflict Scale 2010. Available from: https://decisionaid.ohri.ca/docs/develop/User_Manuals/UM_decisional_conflict.pdf
  19. Waalboer-Spuij R. Disease specific quality of life in keratinocyte cancer: the development and use of the BaSQoL questionnaire. Rotterdam: Erasmus University; 2019.
  20. Waalboer-Spuij R. Validation of the English basal and squamous cell carcinoma quality of life (BaSQoL) questionnaire. Disease specific quality of life in keratinocyte cancer. Rotterdam: Erasmus University; 2019. p. 60–71.
  21. Arraras JI. The EORTC cancer in-patient satisfaction with care questionnaire: EORTC IN-PATSAT32. Clin Transl Oncol 2009; 11: 237–242. https://doi.org/10.1007/s12094-009-0346-6
  22. Arts LPJ, Waalboer-Spuij R, de Roos KP, Thissen M, Scheijmans LJ, Aarts MJ, et al. Health-related quality of life, satisfaction with care, and cosmetic results in relation to treatment among patients with keratinocyte cancer in the head and neck area: results from the PROFILES Registry. Dermatology 2020; 236: 133–142. https://doi.org/10.1159/000502033
  23. Aymonier M, Taieb C, Corgibet F, Joly P, Sei JF, Chaussade V, et al. Patient perception of the diagnosis announcement and its impact on quality of life of patients with primary melanoma or basal cell carcinoma. Acta Derm Venereol 2022; 102: adv00717. https://doi.org/10.2340/actadv.v102.2217
  24. Hoesseini A, Dorr MC, Dronkers EAC, de Jong RJB, Sewnaik A, Offerman MPJ. Decisional conflict in patients with head and neck cancer. JAMA Otolaryngol Head Neck Surg 2023; 149: 160–167. https://doi.org/10.1001/jamaoto.2022.4269
  25. van Delft LCJ, Essers BAB, Nelemans PJ, Mosterd K, van Winden MEC, Romaen IFL, et al. Effectiveness of a patient decision aid for patients with superficial basal cell carcinoma: a pre- and post-implementation study. Patient Educ Couns 2023; 115: 107907. https://doi.org/10.1016/j.pec.2023.107907
  26. van Winden MEC, Klosters FM, Hamaker M, Olde Rikkert MG, van de Kerkhof PCM, de Jong E, et al. Optimizing shared decision making in older adults with basal cell carcinoma: experiences from a specialized outpatient clinic. Br J Dermatol 2022; 186: 589–591. https://doi.org/10.1111/bjd.20833
  27. de Rooij BH, Ezendam NPM, Mols F, Vissers PAJ, Thong MSY, Vlooswijk CCP, et al. Cancer survivors not participating in observational patient-reported outcome studies have a lower survival compared to participants: the population-based PROFILES registry. Qual Life Res 2018; 27: 3313–3324. https://doi.org/10.1007/s11136-018-1979-0