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      Registration in the Danish Regional Nonmelanoma Skin Cancer Dermatology Database: completeness of registration and accuracy of key variables

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          Abstract

          Objective:

          To validate a clinical database for nonmelanoma skin cancer (NMSC) with the aim of monitoring and predicting the prognosis of NMSC treated by dermatologists in clinics in the central and north Denmark regions.

          Methods:

          We assessed the completeness of registration of patients and follow-up visits, and positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity of registrations in the database. We used the Danish Pathology Registry (DPR) (n = 288) and a review of randomly selected medical records (n = 67) from two clinics as gold standards.

          Results:

          The completeness of registration of patients was 62% and 76% with DPR and medical record review as gold standards, respectively. The completeness of registration of 1st and 2nd follow up visits was 85% and 69%, respectively. The PPV and NPV ranged from 85% to 99%, and the sensitivity and specificity from 67% to 100%.

          Conclusion:

          Overall, the accuracy of variables registered in the NMSC database was satisfactory but completeness of patient registration and follow-up visits were modest. The NMSC database is a potentially valuable tool for monitoring and facilitating improvement of NMSC treatment in dermatology clinics. However, there is still room for improvement of registration of both patients and their follow-up visits.

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          Most cited references10

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          Defining and classifying clinical indicators for quality improvement.

          J Mainz (2003)
          This paper provides a brief review of definitions, characteristics, and categories of clinical indicators for quality improvement in health care. Clinical indicators assess particular health structures, processes, and outcomes. They can be rate- or mean-based, providing a quantitative basis for quality improvement, or sentinel, identifying incidents of care that trigger further investigation. They can assess aspects of the structure, process, or outcome of health care. Furthermore, indicators can be generic measures that are relevant for most patients or disease-specific, expressing the quality of care for patients with specific diagnoses. Monitoring health care quality is impossible without the use of clinical indicators. They create the basis for quality improvement and prioritization in the health care system. To ensure that reliable and valid clinical indicators are used, they must be designed, defined, and implemented with scientific rigour.
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            Epidemiology. When an entire country is a cohort.

            L. Frank (2000)
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              The epidemiology of skin cancer.

              Melanoma and non-melanoma (basal and squamous cell carcinoma) skin cancer (NMSC) are now the most common types of cancer in the white populations and the incidence of skin cancer has reached epidemic proportions. According to recent population-based studies from Australia the incidence rate is over 2% for basal cell carcinoma in males and 1% for squamous cell carcinoma, and there are over 50 new cases of melanoma per 100 000.
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                Author and article information

                Journal
                Clin Epidemiol
                Clinical Epidemiology
                Clinical Epidemiology
                Dove Medical Press
                1179-1349
                2010
                9 August 2010
                : 2
                : 123-136
                Affiliations
                [1 ]Department of Dermatology
                [2 ]Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, C, Denmark
                Author notes
                Correspondence: Anna Lei Lamberg, Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes, Allé 43–45, DK-8200 Aarhus N, Denmark, Tel +45 8942 4835, Fax +45 8942 4801, Email al@ 123456dce.au.dk
                Article
                clep-2-123
                2943191
                20865110
                9c103568-4fd3-46b3-9d22-7fdfc782604d
                © 2010 Lamberg et al, publisher and licensee Dove Medical Press Ltd.

                This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.

                History
                : 24 May 2010
                Categories
                Original Research

                Public health
                nonmelanoma skin cancer,validation,database,positive predictive value,completeness
                Public health
                nonmelanoma skin cancer, validation, database, positive predictive value, completeness

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