Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 May 5.
Published in final edited form as: J Am Acad Dermatol. 2019 Apr 5;81(5):1201–1202. doi: 10.1016/j.jaad.2019.03.084

Evaluation of Preoperative Quality of Life in Non-Melanoma Skin Cancer Patients

Jean-Phillip Okhovat 1,2,3, Pritesh S Karia 3,4, Ariana N Mora 3, Frederick C Morgan 3, Robert J Besaw 3, Chrysalyne D Schmults 3
PMCID: PMC7199523  NIHMSID: NIHMS1057237  PMID: 30954579

To the editor: It is estimated that over 4,000,000 adults were treated for non-melanoma skin cancer (NMSC) between 2007 and 2011, with average annual treatment costs of approximately $4.8 billion in the U.S. population.1 The average annual number of adults treated for skin cancer in the U.S. population has increased from 3.4 million in 2002–2006 to 4.9 million in 2007–2011 with the average annual total cost for skin cancer increasing from $3.6 billion to $8.1 billion, or an increase of 126.2%, demonstrating that the health and economic burden of skin cancer treatment is vastly increasing.2 The aim of this study was to identify factors that predict lower QOL scores in patients undergoing Mohs micrographic surgery (MMS) for NMSC.

The Skin Cancer Index (SCI), a 15-item validated QOL questionnaire, was administered to a prospective cohort of NMSC patients at a two-physician academic dermatologic surgery center. The SCI was used as it is disease-specific to NMSC and has been previously validated in a dermatologic surgery setting.3 A 5-point response format was used to assess the extent each item described the feelings of the patient, with 1 (very much) to 5 (not at all), with a higher score indicating better quality of life. Patients diagnosed with a NMSC attending the Brigham and Women’s Hospital Mohs and Dermatologic Surgery Center from March 2014 through March 2015 were eligible for participation in the study. A two-sample t-test with unequal variances and Welch’s approximation was used to examine factors predictive of overall SCI score and the social, emotional, and appearance subscales. Statistical analyses were performed using Stata version 12.0 (College Station, TX). The Partners Human Research Committee approved this study.

Table 1 summarizes the characteristics of the study cohort. A total of 389 patients were included in the study. Eleven declined to participate. In our overall analysis, independent predictors of lower overall SCI score were younger age (p<0.001), female gender (p<0.001), being employed (p<0.001), and tumor location on the head and neck (p=.01) (Table 2). Independent predictors of lower subscale scores were as follows, social subscale: employment (p<0.001) and previous history of skin cancer (p=.032); emotional subscale: younger age (p<0.001) and female gender (p<0.001); appearance subscale: younger age (p<0.001), female gender (p<0.001), employment (p<0.001), and tumor location of the head and neck (p<0.001).

Table 1.

Baseline Cohort Characteristics

Variable n %
Total patients 389 ---
Mean age (SD), years 66.5 (13.1) ---
Age range, years 20–95 ---
Gender
 Male 197 50.6
 Female 192 49.4
Race
 White 385 99.0
 Other 4 1.0
Employment status
 Employed 195 50.1
 Retired 175 45.0
 Unemployed/Unknown 19 4.9
Immunosuppression
 No 335 13.9
 Yes 54 86.1
Previous history of skin cancer
 No 156 40.1
 Yes 233 59.9
Comorbidities
 Hypertension 112 31.4
 Diabetes 34 8.7
 Hyperlipidemia 26 6.7
Type of skin cancer treated
 Basal cell carcinoma 247 63.5
 Invasive squamous cell carcinoma 105 27.0
 Squamous cell carcinoma in situ 15 3.9
 Other 22 5.7
Location of skin cancer
 Head/neck (including ear/lip) 300 77.1
 Trunk 21 5.4
 Extremities 65 16.7
 Genitalia 3 0.8
Mean tumor diameter (SD), cm 1.42 (1.00) ---
Mean post-operative area size (SD), cm 2.68 (5.67) ---
Median QOL scores (IQR)**
 Overall Skin Cancer Index 81.9 (70.0–91.2) ---
 Emotional subscale 71.4 (53.6–85.7) ---
 Social subscale 95.0 (85.0–100.0) ---
 Appearance subscale 83.3 (58.3–100.0) ---

Abbreviations: IQR, inter-quartile range; QOL, quality of life; SD, standard deviation.

*

Less than 5% of patients with the following co-morbidities: COPD, stroke, breast cancer, prostate cancer, lymphoma, leukemia, colon cancer, lung cancer, depression, ulcerative colitis.

**

Each raw score was standardized as follows: (raw score-1) × (100/4).

Table 2.

Analysis of Factors Predictive of Overall Skin Cancer Index and Subscale Scores

Overall Skin Cancer Index Score Mean (SD) p value
Age (lower quartile) 52.2 (12.6) <0.001
Age (upper quartile) 95.8 (2.7)
Male 81.4 (15.4) <0.001
Female 74.2 (18.5)
Employed 73.8 (18.3) <0.001
Unemployed/Retired 82.5 (15.1)
Head/neck location (including lip/ear) 76.7 (17.8) 0.01
Below neck location 81.8 (15.1)
Social Subscale Score Mean (SD) p value
Employed 86.5 (15.1) <0.001
Unemployed/Retired 91.4 (11.3)
Previous history of skin cancer 90.0 (13.1) .032
No previous history of skin cancer 86.9 (14.4)
Emotional Subscale Score Mean (SD) p value
Age (lower quartile) 43.2 (18.3) <0.001
Age (upper quartile) 90.4 (6.9)
Male 71.7 (20.6) <0.001
Female 64.0 (22.4)
Appearance Subscale Score Mean (SD) p value
Age (lower quartile) 39.3 (23.5) <0.001
Age (upper quartile) 98.7 (3.5)
Male 82.9 (23.1) <0.001
Female 70.8 (29.5)
Employed 70.6 (28.9) <0.001
Unemployed/Retired 83.8 (23.2)
Head/neck location (including lip/ear) 73.6 (28.1) <0.001
Below neck location 88.1 (19.5)

Abbreviation: SD, standard deviation.

Other studies of quality of life in skin cancer patients are rare and have focused on other factors or study questions.4,5 We find the employment finding to be particularly interesting since it persisted once age-adjusted. Older people who may otherwise not suffer greatly from their skin cancer suffer more if they are still working. This is important for physicians to understand – patients work longer now than in prior generations, and this may affect the toll their skin cancer is taking on them. A greater understanding of QOL in NMSC patients will lead to a more patient-centered treatment approach to disease and better overall outcomes that are important to NMSC patients.

Funding Source:

Mr Karia is supported by a Cancer Epidemiology, Prevention, and Control Training Grant (NCI T32 CA009314).

Footnotes

Conflicts of Interest Disclosure: None reported

REFERENCES

  • 1.Rogers HW, Weinstock MA, Feldman SR, Coldiron BM. Incidence Estimate of Nonmelanoma Skin Cancer (Keratinocyte Carcinomas) in the U.S. Population, 2012. JAMA dermatology. October 2015;151(10):1081–1086. [DOI] [PubMed] [Google Scholar]
  • 2.Guy GP Jr., Machlin SR, Ekwueme DU, Yabroff KR. Prevalence and costs of skin cancer treatment in the U.S., 2002–2006 and 2007–2011. American journal of preventive medicine. February 2015;48(2):183–187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Rhee JS, Matthews BA, Neuburg M, Logan BR, Burzynski M, Nattinger AB. Validation of a quality-of-life instrument for patients with nonmelanoma skin cancer. Archives of facial plastic surgery. Sep-Oct 2006;8(5):314–318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Asgari MM, Warton EM, Neugebauer R, Chren MM. Predictors of patient satisfaction with Mohs surgery: analysis of preoperative, intraoperative, and postoperative factors in a prospective cohort. Arch Dermatol. 2011. December;147(12):1387–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Rhee JS, Matthews BA, Neuburg M, Logan BR, Burzynski M, Nattinger AB. The skin cancer index: clinical responsiveness and predictors of quality of life. Laryngoscope. 2007. March;117(3):399–405. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES