Need for a New Skin Cancer Management Strategy

Geer, Simone van der; Reijers, Hajo A.; Tuijl, H.F.J.M. van; Vries, Hein de; Krekels, Gertruud A. M.

doi:10.1001/archdermatol.2010.1

Cited by 26 publications

(18 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Healthcare systems have not yet adjusted to this increased demand on chronic skin cancer care [1]. A disease management system that provides a new skin cancer management strategy on several levels is needed to provide adequate control and treatment of patients [1]. The burden on the healthcare system will be reduced if screening methods improve [16,17].…”

Section: Discussionmentioning

confidence: 99%

“…To manage the inflow of patients in the skin cancer management model, it is essential to get the true-positive skin cancer patients into the system and to reduce the false-positive and false-negative patients [1]. Improvements could be made on the level of referral by general practitioners (GPs) and prioritization of patients.…”

Section: Introductionmentioning

confidence: 99%

“…The present study was set up to develop a skin cancer detection model as part of a new skin cancer management strategy [1,8] and to investigate the potential of nurses in diagnosing skin (pre-)malignancies. In this study we focused on actinic keratosis (AK) and basal cell carcinoma (BCC), as these represent the major part of non-melanoma skin cancer and pre-malignancies [9,10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of a Non-Melanoma Skin Cancer Detection Model

et al. 2015

Self Cite

View full text Add to dashboard Cite

Background: The incidence and prevalence of skin cancer is rising. A detection model could support the (screening) process of diagnosing non-melanoma skin cancer. Methods: A questionnaire was developed containing potential actinic keratosis (AK) and basal cell carcinoma (BCC) characteristics. Three nurses diagnosed 204 patients with a lesion suspicious of skin (pre)malignancy and filled in the questionnaire. Logistic regression analyses generated prediction models for AK and BCC. Results: A prediction model containing nine characteristics correctly predicted the presence or absence of AK in 83.2% of the cases. BCC was predicted correctly in 91.4% of the cases by a model containing eight characteristics. The nurses correctly diagnosed AK in 88.3% and BCC in 90.9% of the cases. Conclusions: Detection or screening models for AK and BCC could be made with a limited number of variables. Nurses also diagnosed skin lesions correctly in a high percentage of cases. Further research is necessary to investigate the robustness of these findings, whether the percentage of correct diagnoses can be improved and how best to implement model-based prediction in the diagnostic process.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a Non-Melanoma Skin Cancer Detection Model

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…Due to the high likelihood of developing multiple lesions during life, it is increasingly being considered as a chronic illness, i.e. ‘actinic neoplasia syndrome' [3,4,5,6,7]. …”

Section: Introductionmentioning

confidence: 99%

Patient Perception of Imiquimod Treatment for Actinic Keratosis and Superficial Basal Cell Carcinoma in 202 Patients

et al. 2015

View full text Add to dashboard Cite

Objective: To document the impact on patient-reported outcomes and health-related quality of life (HRQoL) of treatment with imiquimod cream in patients with actinic keratosis (AK) and superficial basal cell carcinoma (sBCC). Methods: This open-label, multicenter study included AK and sBCC patients eligible for treatment with imiquimod 5% cream. HRQoL was measured by the Skindex-17 and the Skin Cancer Index (SCI) and treatment satisfaction by the Treatment Satisfaction Questionnaire for Medication. Results: 118 AK patients and 84 patients with sBCC were included. Low baseline HRQoL impairment was found on both questionnaires, which remained low after treatment, except for a small dip at the end of the application period. Conclusion: Imiquimod 5% cream treatment has no clinically relevant HRQoL impact in AK and sBCC patients according to the Skindex-17 and SCI. The effect of imiquimod treatment on HRQoL may be limited or these questionnaires do not fully capture relevant issues, such as fear of recurrence.

show abstract

“…Appropriate knowledge and continuous training about suspicious skin lesions are crucial to handle these lesions correctly. An important condition for an optimal patient care is the collaboration of GPs with Dermatologists in a multidisciplinary treatment team [5]. …”

Section: Introductionmentioning

confidence: 99%

minSKIN Does a m ultifaceted in tervention improve the competence in the diagnosis of skin cancer by general practitioners? Study protocol for a randomised controlled trial

Badertscher

Rosemann

Tandjung

et al. 2011

Trials

View full text Add to dashboard Cite

BackgroundIn Switzerland, skin cancer is one of the most common neoplasms. Melanoma is the most aggressive one and can be lethal if not detected and removed on time. Nonmelanoma skin cancer is more frequent as melanoma; it is seldom lethal but can disfigure patients in advanced stages. General practitioners (GPs) are often faced with suspicious skin lesions of their patients.Methods/DesignDesign: Randomised controlled trial (RCT).Population: 60 GPs, randomised into intervention group and control group.Intervention: GPs get a Lumio loupe, a digital camera and continuous feedback based on pictures of skin lesions they send to the Dermatologist.Primary outcome: Competence in the diagnosis of skin cancer by GPs, measured as the percentage of correctly classified pictures of skin lesions.Measurements: At baseline, and prior to any intervention (T0), GPs will be asked to rate 36 pictures of skin lesions according to their likelihood of malignancy on a visual analogue scale (VAS). After a full day training course with both groups (T1) and after one year of continuous feedback (T2) with the intervention group, we will repeat the picture scoring session with both groups, using new pictures.DiscussionWe want to determine whether a multifaceted intervention (including technical equipment and a continuous feedback on skin lesions) leads to an improved competence in the diagnosis of skin cancer by GPs. This study addresses the hypothesis that an additional feedback loop, based on pictures performed in daily practice by GPs is superior to a simple educational intervention regarding diagnostic competence. We expect an improvement of the competence in skin cancer diagnosis by GPs in both groups after the full day training course. Beside this immediate effect, we also expect a long term effect in the intervention group because of the continuous problem based feedback.Trial registrationISRCTN: ISRCTN29854485

show abstract

Need for a New Skin Cancer Management Strategy

Cited by 26 publications

References 40 publications

Development of a Non-Melanoma Skin Cancer Detection Model

Development of a Non-Melanoma Skin Cancer Detection Model

Patient Perception of Imiquimod Treatment for Actinic Keratosis and Superficial Basal Cell Carcinoma in 202 Patients

minSKIN Does a m ultifaceted in tervention improve the competence in the diagnosis of skin cancer by general practitioners? Study protocol for a randomised controlled trial

Contact Info

Product

Resources

About