0
Special Article |

Need for a New Skin Cancer Management StrategyNeed for a New Skin Cancer Management Strategy

Simone van der Geer, MD; Hajo A. Reijers, PhD; Harrie F. J. M. van Tuijl, PhD; Hein de Vries, PhD; Gertruud A. M. Krekels, MD, PhD
[+] Author Affiliations

Copyright 2010 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.

More Author Information
Arch Dermatol. 2010;146(3):332-336. doi:10.1001/archdermatol.2010.1
Text Size: A A A
Published online

The worldwide incidence of skin cancer (especially nonmelanoma skin cancer) has increased markedly during the last decades. Skin cancer should be considered a chronic disease. To manage the future costs and quality of care for patients with skin cancer, a revised health strategy is needed. These new strategies should be combined into a disease management system that organizes health care for one well-documented health care problem using a systematic approach. This article explores multiple opportunities for the development of a disease management system regarding skin cancer that will provide structured and multidisciplinary care.

Figures in this Article

The worldwide incidence of skin cancer (especially nonmelanoma skin cancer) has increased markedly during the last decades.1 2 The ramifications for health care systems worldwide are enormous. An evaluation of the diagnosis-treatment codes, combined with the zip codes of patients of a large outpatient dermatology clinic at Catharina Hospital in the Netherlands, reveals that more than 50% of dermatologists' time is spent on skin cancer and skin premalignant neoplasms (unpublished data, June 2009). When evaluating and extrapolating the figures from this database for the Netherlands, we found an incidence of approximately 80 000 skin malignant neoplasms in 2007 (unpublished data, June 2009), indicating at least double the amount of skin cancer cases compared with the expected incidence in 2015 of 37 000 cases in the Netherlands.2 This article explores opportunities for the development of a skin cancer management system to provide structured and multidisciplinary care.

New groups at risk for developing multiple skin cancers have been identified (Table). Because the population is aging and skin cancer incidence is increasing in the younger population, more young adults will be confronted during their lifespan with multiple new tumors.6 12 Skin cancer can, therefore, be regarded as a chronic disease, ie, a disease of long duration and generally slow progression, as defined by the World Health Organization.13 Progression should, in this case, be regarded as development of new tumors.

Table Grahic Jump LocationTable. Patients at Risk for Multiple Skin Cancers

Nonmelanoma skin cancer has been considered a relatively mild health problem for a long time because of the low mortality rate. However, the morbidity and economic burden of nonmelanoma skin cancer for the health care system are high.14 In the United States, skin cancer has taken fifth place with respect to cancer costs, behind prostate, lung and bronchus, colon and rectum, and breast carcinomas.15 To manage the future costs and quality of care for patients with skin cancer, revised health strategies are needed. These strategies should be combined in a disease management system that organizes care for one well-documented health problem according to a systematic approach that includes prevention, education, multidisciplinary care, information technology, and management (Figure).16

Place holder to copy figure label and caption
Figure.

Health care system for chronic skin cancer.

Grahic Jump Location

Several organizational models of chronic disease management have been proposed and implemented internationally.17 The World Health Organization recently discussed ways to operate these programs across care settings and among health care professionals.13 Although there is increasing evidence that disease management systems provide more efficient, high-quality, and cost-effective care,18 not all studies of disease management programs or nurse-led care show statistically significant improvements. For chronic diseases, such as diabetes mellitus and heart failure, these systems have demonstrated significant improvement of disease control and a reduction of complications.19 21 The differences in the outcomes of various studies may be related to methodologic weaknesses, confounding factors, and inherent differences in populations at risk for various diseases.22 24

There is a clear and immediate opportunity to evaluate the potential benefits as part of a renewed health strategy for effective chronic care in our aging society.18 By applying the disease management systems approach, multiple opportunities for chronic skin cancer care become apparent in prevention, education, multidisciplinary care, information technology, and management16 (Figure). The disease management system is embedded within a supportive overall organization structure, which is based on firm financial support that must be available for all aspects of the system, including prevention-based efforts. Such efforts are needed to manage the inflow of future patients from various high-risk groups to the core detection and treatment parts of the system. The disease management system emphasizes collaboration in the detection of skin cancer, whereas multiple aspects (trained nurses, standardized treatment, guidelines, and information technology) contribute to effective treatment. By the monitoring and evaluation of treatments, various aspects of the system can undergo continuous quality improvement.

Population-based primary prevention, which is an important part of chronic disease management, requires targeted approaches for the groups at risk: young children, adolescents, young adults, and patients with skin cancer.18 Because most people underestimate their susceptibility to skin cancer and the severity of the problem, messages need to create awareness, highlight the advantages of protection, and discuss ways to cope with barriers to adopting protective behaviors.25 Specific action plans, such as how and when to use sunscreen, are needed to promote implementation of sun protective measures.26 27

In chronic disease management, self-management support of patients is central to improving care and outcomes.28 Online information, questionnaires, and checklists with photographs of skin cancer could help people recognize skin malignant neoplasms. Early detection of skin cancer has multiple advantages: it leads to the diagnosis of smaller skin cancers, which are less difficult to treat. The correct diagnosis and treatment of primary skin cancers leads to fewer recurrences. These recurrences are more difficult and expensive to treat and involve a higher risk of further recurrences.28 30

As members of the multidisciplinary treatment team, general practitioner physicians should actively participate and collaborate with dermatologists in the process of prevention and treatment, including prognosis and follow-up plans. This result could be achieved with the use of a central electronic medical record that crosses institutional borders or by using Web access to medical records in hospitals.31 32 Store-and-forward teledermatology, in which a dermatologist evaluates photographs with historical and demographic information, is an effective, accurate, and valid approach for the routine treatment of patients with skin cancer referred by physicians.33 34 May et al34 demonstrated that 51% of visits to dermatologists are unnecessary and could be avoided with use of store-and-forward teledermatology, which has helped to improve prioritization, efficiency of service, and patient care. Hsiao and Oh35 showed that the overall mean intervals for initial evaluation, biopsy, and surgery were 44, 19, and 21 days shorter, respectively, with use of teledermatology compared with conventional consultation.

Clear guidelines of care are needed to provide standardized evidence-based treatments. It takes several years to prepare and implement a guideline. For example, it took more than 2 years to develop and implement the Dutch guideline of cutaneous melanoma and even longer for the guideline of basal cell carcinoma.36 37 A substantial acceleration of the process of adjusting guidelines could be achieved if clinics made their deidentified patient data about treatment type and outcomes of treatment available in electronic medical records. Automated techniques could be used to detect differences between guidelines for good practice and actual execution of medical processes.38 Such differences can be used as a starting point to discover the reasons for nonadherence to create the most optimal treatment plan.

Care management with interventions by nurses has been shown to improve medical, psychosocial, and lifestyle outcomes for patients with chronic diseases, such as diabetes.23 Taylor et al23 showed that nurse care managers can improve medical outcomes without increasing physician visits. A review of nurse-led care in dermatology concluded that nurses are managing and treating a number of dermatologic conditions, such as eczema and leg ulcers, primarily by using treatment protocols. The nurses work in a variety of clinical contexts, including inpatient, outpatient, and community settings. Patients report various benefits, such as faster access to treatment, reduction in referral to a physician or dermatologist, and an increase in knowledge of their condition.22 Nurses are also being trained to participate in dermato-oncologic care for patients receiving organ transplants.39

At Catharina Hospital, nurses trained on the job in dermato-oncology participate in secondary prevention and counseling. They also perform skin biopsies, photodynamic therapy, cryotherapy, and small excisions. Nurse-led care effectively results in the reduction of the high workload of dermatologists regarding skin cancer and has enhanced the capacity for providing care not only at Catharina Hospital but also in other hospitals.40

Modern information technology plays an important role in shaping a disease management system.16 First, this system supports the classic functions of consulting, manipulating, and retrieving patient-related data. Second, these systems are proactive and allow diagnostic and treatment advice for clinically diagnosed lesions. During the past years, insights have been gained as to how such clinical decision support could be effectively integrated into the care process.41 Third, the system facilitates communication among the health care teams, for instance, assisting nurses in ascertaining which actions need to be executed or have already been completed for patients. The features pertaining to this so-called workflow management technology are customary for managing various chronic diseases.42 Yet the potential of this technology has not been fully exploited in the health care domain in general and certainly not for skin cancer management.43 For example, workflow management systems could be used to enforce adherence to standardized treatment practices while being sufficiently flexible to allow for incidental deviations. Also, these systems could monitor deadlines and signal missing medical information, contributing to improved treatment quality. At Catharina Hospital, workflow management has increased the number of patients treated with photodynamic therapy from 6 to 10 patients per day.

It is feasible to use the enormous amount of data with regard to dermato-oncology, with the help of the information technology system described herein, to evaluate adherence to guidelines and effectiveness of treatments (eg, complications and recurrences). Evaluation can lead to adjustment of guidelines so that effectiveness can be improved or associated costs reduced. So-called process-mining techniques have recently been applied to achieve these goals in the treatment of strokes.44 The differences between 2 hospitals in treatment strategies and results could be analyzed to gain a better understanding of these treatment strategies and their outcomes.44

The development of the disease management system proposed herein requires sufficient financial resources, thus justifying placing skin cancer disease management on the political agenda and the agenda of insurance companies. As shown in the Figure, financial support is necessary for all aspects of the disease management system, including prevention. Health insurance companies now focus on reducing costs of treatment of skin cancer, whereas primary and secondary prevention of skin cancer is not reimbursed. Funds need to be allocated to restructuring, providing financial incentives (including prevention), training staff, and monitoring progress.13

Skin cancer, as a chronic disease, demands robust organization and central coordination by the dermatologist. Dermatologists need to demonstrate their value as medical professionals and their collective capacity to organize and deliver efficient and high-quality dermatologic care.45 The organization should focus on benchmarking and optimizing the skin cancer treatment process. Business management strategies (Six Sigma,46 for instance) are needed to identify and remove causes of factors that negatively affect profitability and errors in manufacturing and business processes. In the past years, health care organizations and professionals have begun implementing these types of business strategies with significant success; financial savings mounted to $2.9 million during a 3-year period; other departments reported annual savings of $5 million.46 48

Skin cancer needs to be regarded as a chronic disease and should not be considered a solitary event requiring the treatment of one tumor. The workload for all medical personnel involved in the treatment of patients with skin cancer will significantly increase in the next few years. Population-based chronic disease management is a necessary approach to deal with the growing burden of this chronic illness. Adjustments in health care must be made regarding prevention, education, multidisciplinary care, information technology, and management. Combining these strategies in a disease management system will lead to efficient, evidence-based, high-quality care to help dermatologists deal proactively with chronic diseases such as skin cancer.

Correspondence: Simone van der Geer, MD, Department of Dermatology, Erasmus University Medical Center, Burg's Jacobsplein 51, 3015 CA Rotterdam, Netherlands (s.vandergeer@erasmusmc.nl).

Accepted for Publication: November 13, 2009.

Author Contributions: Drs van der Geer, Reijers, and Krekels had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: van der Geer, Reijers, van Tuijl, and Krekels. Acquisition of data: Krekels. Analysis and interpretation of data: Reijers. Drafting of the manuscript: van der Geer, Reijers, de Vries, and Krekels. Critical revision of the manuscript for important intellectual content: van der Geer, Reijers, van Tuijl, de Vries, and Krekels. Administrative, technical, and material support: van der Geer, Reijers, de Vries, and Krekels. Study supervision: van Tuijl and Krekels.

Financial Disclosure: None.

Rigel  DS, Friedman  RJ, Kopf  AW. Lifetime risk for development of skin cancer in the U.S. population: current estimate is now 1 in 5. J Am Acad Dermatol 1996;35 (6) 1012- 1013
PubMed
de Vries  E, Coebergh  JW, van der Rhee  H. Trends, causes, approach and consequences related to the skin-cancer epidemic in the Netherlands and Europe [in Dutch] Ned Tijdschr Geneeskd 2006;150 (20) 1108- 1115
PubMed
de Vries  E, van de Poll-Franse  LV, Louwman  WJ, de Gruijl  FR, Coebergh  JWW. Predictions of skin cancer incidence in the Netherlands up to 2015. Br J Dermatol 2005;152 (3) 481- 488
PubMed
Moloney  FJ, Comber  H, O’Lorcain  P, O’Kelly  P, Conlon  PJ, Murphy  GM. A population-based study of skin cancer incidence and prevalence in renal transplant recipients. Br J Dermatol 2006;154 (3) 498- 504
PubMed
Carroll  RP, Ramsay  HM, Fryer  AA, Hawley  CM, Nicol  DL, Harden  PN. Incidence and prediction of nonmelanoma skin cancer post-renal transplantation: a prospective study in Queensland, Australia. Am J Kidney Dis 2003;41 (3) 676- 683
PubMed
Marcil  I, Stern  RS. Risk of developing a subsequent nonmelanoma skin cancer in patients with a history of nonmelanoma skin cancer. Arch Dermatol 2000;136 (12) 1524- 1530
PubMed
Collins  GL, Nickoonahand  N, Morgan  MB. Changing demographics and pathology of nonmelanoma skin cancer in the last 30 years. Semin Cutan Med Surg 2004;23 (1) 80- 83
PubMed
Karagas  MR, Greenberg  ER, Spencer  SK, Stukel  TA, Mott  LA.New Hampshire Skin Cancer Study Group,  Increase in incidence rates of basal cell and squamous cell skin cancer in New Hampshire, USA. Int J Cancer 1999;81 (4) 555- 559
PubMed
Ramachandran  S, Fryer  AA, Smith  A.  et al.  Cutaneous basal cell carcinomas: distinct host factors are associated with the development of tumors on the trunk and on the head and neck. Cancer 2001;92 (2) 354- 358
PubMed
Czarnecki  D, Mar  A, Staples  M, Giles  G, Meehan  C. The development of non-melanocytic skin cancers in people with a history of skin cancer. Dermatology 1994;189 (4) 364- 367
PubMed
Robinson  JK. Risk of developing another basal cell carcinoma: a 5-year prospective study. Cancer 1987;60 (1) 118- 120
PubMed
Marghoob  A, Kopf  AW, Bart  RS.  et al.  Risk of another basal cell carcinoma developing after treatment of a basal cell carcinoma. J Am Acad Dermatol 1993;28 (1) 22- 28
PubMed
 How can chronic disease management programmes operate across care settings and providers? WHO European Ministerial Conference on Health Systems Web site.http://www.euro.who.int/HEN/policybriefs/20090521_3Accessed December 30 2009
Stang  A, Stausberg  J, Boedeker  W, Kerek-Bodden  H, Jöckel  KH. Nationwide hospitalization costs of skin melanoma and non-melanoma skin cancer in Germany. J Eur Acad Dermatol Venereol 2008;22 (1) 65- 72
PubMed
Housman  TS, Feldman  SR, Williford  PM.  et al.  Skin cancer is among the most costly of all cancers to treat for the Medicare population. J Am Acad Dermatol 2003;48 (3) 425- 429
PubMed
Schrijvers  G, Spreeuwenberg  C, Laag van der  H.  et al.  Disease Management in de Nederlandse Context.  Amsterdam, the Netherlands Igitur2005;
Beaglehole  R, Epping-Jordan  J, Patel  V.  et al.  Improving the prevention and management of chronic disease in low-income and middle-income countries: a priority for primary health care. Lancet 2008;372 (9642) 940- 949
PubMed
Orchard  M, Green  E, Sullivan  T, Greenberg  A, Mai  V. Chronic disease prevention and management: implications for health human resources in 2020. Healthc Q 2008;11 (1) 38- 43
PubMed
Rothe  U, Muller  G, Schwarz  PE.  et al.  Evaluation of a diabetes management system based on practice guidelines, integrated care and continuous quality management in a Federal State of Germany: a population-based approach to health care research. Diabetes Care 2008;31 (5) 863- 868
PubMed
Del Sindaco  D, Pulignano  G, Minardi  G.  et al.  Two-year outcome of a prospective, controlled study of a disease management programme for elderly patients with heart failure. J Cardiovasc Med (Hagerstown) 2007;8 (5) 324- 329
PubMed
Szecsenyi  J, Rosemann  T, Joos  S, Peters-Klimm  F, Miksch  A. German diabetes disease management programs are appropriate for restructuring care according to the chronic care model: an evaluation with the patient assessment of chronic illness care instrument. Diabetes Care 2008;31 (6) 1150- 1154
PubMed
Courtenay  M, Carey  N. A review of the impact and effectiveness of nurse-led care in dermatology. J Clin Nurs 2007;16 (1) 122- 128
PubMed
Taylor  CB, Miller  NH, Reilly  KR.  et al.  Evaluation of a nurse-care management system to improve outcomes in patients with complicated diabetes. Diabetes Care 2003;26 (4) 1058- 1063
PubMed
Aubert  RE, Herman  WH, Waters  J.  et al.  Nurse care management to improve glycemic control in diabetic patients in a health maintenance organization: a randomized controlled trial. Ann Intern Med 1998;129 (8) 605- 612
PubMed
Garside  R, Pearson  M, Moxham  T. What influences the uptake of information to prevent skin cancer? a systematic review and synthesis of qualitative research [published online October 25, 2009]. Health Educ Res 2009;
PubMed
PubMed
van Osch  L, Reubsaet  A, Lechner  L, de Vries  H. The formation of specific action plans can enhance sun protection behavior in motivated parents. Prev Med 2008;47 (1) 127- 132
PubMed
de Vries  H, Mesters  I, Riet  JV, Willems  K, Reubsaet  A. Motives of Belgian adolescents for using sunscreen: the role of action plans. Cancer Epidemiol Biomarkers Prev 2006;15 (7) 1360- 1366
PubMed
Epping-Jordan  JE, Pruitt  SD, Bengoa  R, Wagner  EH. Improving the quality of health care for chronic conditions. Qual Saf Health Care 2004;13 (4) 299- 305
PubMed
Eide  MJ, Weinstock  MA, Dufresne  RG  Jr.  et al.  Relationship of treatment delay with surgical defect size from keratinocyte carcinoma (basal cell carcinoma and squamous cell carcinoma of the skin). J Invest Dermatol 2005;124 (2) 308- 314
PubMed
Smeets  NW, Krekels  GA, Ostertag  JU.  et al.  Surgical excision vs Mohs' micrographic surgery for basal cell carcinoma of the face: randomized controlled trial. Lancet 2004;364 (9447) 1766- 1772
PubMed
Bellon  E, Aerts  W, Vanautgaerden  M.  et al.  Web-access to a central medical record to improve cooperation between hospital and referring physicians. Stud Health Technol Inform 2002;93145- 153
PubMed
Müller  ML, Uckert  F, Bürkle  T, Prokosch  HU. Cross-institutional data exchange using the clinical document architecture (CDA). Int J Med Inform 2005;74 (2-4) 245- 256
PubMed
Moreno-Ramirez  D, Ferrandiz  L, Nieto-Garcia  A.  et al.  Store-and-forward teledermatology in skin cancer triage: experience and evaluation of 2009 teleconsultations. Arch Dermatol 2007;143 (4) 479- 484
PubMed
May  C, Giles  L, Gupta  G. Prospective observational comparative study assessing the role of store-and-forward teledermatology triage in skin cancer. Clin Exp Dermatol 2008;33 (6) 736- 739
PubMed
Hsiao  JL, Oh  DH. The impact of store-and-forward teledermatology on skin cancer diagnosis and treatment. J Am Acad Dermatol 2008;59 (2) 260- 267
PubMed
 Guideline: Melanoma of the Skin [in Dutch].  Alphen aan den Rijn, the Netherlands Van Zuiden Communications BV2005;
 Guideline: Treatment of Patients With Basal Cell Carcinoma [in Dutch].  Alphen aan den Rijn, the Netherlands Van Zuiden Communications BV2003;
Rozinat  A, van der Aalst  WMP. Conformance checking of processes based on monitoring real behavior. Inf Syst 2008;33 (1) 64- 95
Reece  SM, Harden  PN, Smith  AG, Ramsay  HM. A model for nurse-led skin cancer surveillance following renal transplantation. Nephrol Nurse J 2002;29 (3) 257- 259, 267
PubMed
PubMed
Jagtman  E. A multi-variate approach to deal with the increasing number of skin cancer patients [in Dutch]. Med Contact (Bussum) 2008;631804- 1807
Fieschi  M, Dufour  JC, Staccini  P, Gouvernet  J, Bouhaddou  O. Medical decision support systems: old dilemmas and new paradigms? Methods Inf Med 2003;42 (3) 190- 198
PubMed
Maviglia  SM, Zielstorff  RD, Paterno  M, Teich  JM, Bates  DW, Kuperman  GJ. Automating complex guidelines for chronic disease: lessons learned. J Am Med Inform Assoc 2003;10 (2) 154- 165
PubMed
Lenz  R, Reichert  M. IT support for healthcare processes premises, challenges, perspectives. Data Knowledge Eng 2007;61 (1) 39- 58
Mans  R, Schonenberg  H, Leonardi  G,  et al.  Process mining techniques: an application to stroke care. Andersen  SK, Klein  MCA, Schulz  S, Aarts  J, Mazzoleni  MC.eds. eHealth Beyond The Horizon: Get IT There.  Amsterdam, Netherlands IOS Press2008;
Watson  AJ, Kvedar  JC. Staying on top in dermatology: why we must act now to address the capacity challenge. Arch Dermatol 2008;144 (4) 541- 544
PubMed
Carrigan  MD, Kujawa  D. Six Sigma in health care management and strategy. Health Care Manag (Frederick) 2006;25 (2) 133- 141
PubMed
Chassin  R. The Six Sigma initiative at Mount Sinai medical center. Mt Sinai J Med 2008;75 (1) 45- 52
PubMed
Printezis  A, Gopalakrishnan  M. Current pulse: can a production system reduce medical errors in health care? Qual Manag Health Care 2007;16 (3) 226- 238
PubMed

First Page Preview

First page PDF preview

Figures

Place holder to copy figure label and caption
Figure.

Health care system for chronic skin cancer.

Grahic Jump Location

Tables

Table Grahic Jump LocationTable. Patients at Risk for Multiple Skin Cancers

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Rigel  DS, Friedman  RJ, Kopf  AW. Lifetime risk for development of skin cancer in the U.S. population: current estimate is now 1 in 5. J Am Acad Dermatol 1996;35 (6) 1012- 1013
PubMed
de Vries  E, Coebergh  JW, van der Rhee  H. Trends, causes, approach and consequences related to the skin-cancer epidemic in the Netherlands and Europe [in Dutch] Ned Tijdschr Geneeskd 2006;150 (20) 1108- 1115
PubMed
de Vries  E, van de Poll-Franse  LV, Louwman  WJ, de Gruijl  FR, Coebergh  JWW. Predictions of skin cancer incidence in the Netherlands up to 2015. Br J Dermatol 2005;152 (3) 481- 488
PubMed
Moloney  FJ, Comber  H, O’Lorcain  P, O’Kelly  P, Conlon  PJ, Murphy  GM. A population-based study of skin cancer incidence and prevalence in renal transplant recipients. Br J Dermatol 2006;154 (3) 498- 504
PubMed
Carroll  RP, Ramsay  HM, Fryer  AA, Hawley  CM, Nicol  DL, Harden  PN. Incidence and prediction of nonmelanoma skin cancer post-renal transplantation: a prospective study in Queensland, Australia. Am J Kidney Dis 2003;41 (3) 676- 683
PubMed
Marcil  I, Stern  RS. Risk of developing a subsequent nonmelanoma skin cancer in patients with a history of nonmelanoma skin cancer. Arch Dermatol 2000;136 (12) 1524- 1530
PubMed
Collins  GL, Nickoonahand  N, Morgan  MB. Changing demographics and pathology of nonmelanoma skin cancer in the last 30 years. Semin Cutan Med Surg 2004;23 (1) 80- 83
PubMed
Karagas  MR, Greenberg  ER, Spencer  SK, Stukel  TA, Mott  LA.New Hampshire Skin Cancer Study Group,  Increase in incidence rates of basal cell and squamous cell skin cancer in New Hampshire, USA. Int J Cancer 1999;81 (4) 555- 559
PubMed
Ramachandran  S, Fryer  AA, Smith  A.  et al.  Cutaneous basal cell carcinomas: distinct host factors are associated with the development of tumors on the trunk and on the head and neck. Cancer 2001;92 (2) 354- 358
PubMed
Czarnecki  D, Mar  A, Staples  M, Giles  G, Meehan  C. The development of non-melanocytic skin cancers in people with a history of skin cancer. Dermatology 1994;189 (4) 364- 367
PubMed
Robinson  JK. Risk of developing another basal cell carcinoma: a 5-year prospective study. Cancer 1987;60 (1) 118- 120
PubMed
Marghoob  A, Kopf  AW, Bart  RS.  et al.  Risk of another basal cell carcinoma developing after treatment of a basal cell carcinoma. J Am Acad Dermatol 1993;28 (1) 22- 28
PubMed
 How can chronic disease management programmes operate across care settings and providers? WHO European Ministerial Conference on Health Systems Web site.http://www.euro.who.int/HEN/policybriefs/20090521_3Accessed December 30 2009
Stang  A, Stausberg  J, Boedeker  W, Kerek-Bodden  H, Jöckel  KH. Nationwide hospitalization costs of skin melanoma and non-melanoma skin cancer in Germany. J Eur Acad Dermatol Venereol 2008;22 (1) 65- 72
PubMed
Housman  TS, Feldman  SR, Williford  PM.  et al.  Skin cancer is among the most costly of all cancers to treat for the Medicare population. J Am Acad Dermatol 2003;48 (3) 425- 429
PubMed
Schrijvers  G, Spreeuwenberg  C, Laag van der  H.  et al.  Disease Management in de Nederlandse Context.  Amsterdam, the Netherlands Igitur2005;
Beaglehole  R, Epping-Jordan  J, Patel  V.  et al.  Improving the prevention and management of chronic disease in low-income and middle-income countries: a priority for primary health care. Lancet 2008;372 (9642) 940- 949
PubMed
Orchard  M, Green  E, Sullivan  T, Greenberg  A, Mai  V. Chronic disease prevention and management: implications for health human resources in 2020. Healthc Q 2008;11 (1) 38- 43
PubMed
Rothe  U, Muller  G, Schwarz  PE.  et al.  Evaluation of a diabetes management system based on practice guidelines, integrated care and continuous quality management in a Federal State of Germany: a population-based approach to health care research. Diabetes Care 2008;31 (5) 863- 868
PubMed
Del Sindaco  D, Pulignano  G, Minardi  G.  et al.  Two-year outcome of a prospective, controlled study of a disease management programme for elderly patients with heart failure. J Cardiovasc Med (Hagerstown) 2007;8 (5) 324- 329
PubMed
Szecsenyi  J, Rosemann  T, Joos  S, Peters-Klimm  F, Miksch  A. German diabetes disease management programs are appropriate for restructuring care according to the chronic care model: an evaluation with the patient assessment of chronic illness care instrument. Diabetes Care 2008;31 (6) 1150- 1154
PubMed
Courtenay  M, Carey  N. A review of the impact and effectiveness of nurse-led care in dermatology. J Clin Nurs 2007;16 (1) 122- 128
PubMed
Taylor  CB, Miller  NH, Reilly  KR.  et al.  Evaluation of a nurse-care management system to improve outcomes in patients with complicated diabetes. Diabetes Care 2003;26 (4) 1058- 1063
PubMed
Aubert  RE, Herman  WH, Waters  J.  et al.  Nurse care management to improve glycemic control in diabetic patients in a health maintenance organization: a randomized controlled trial. Ann Intern Med 1998;129 (8) 605- 612
PubMed
Garside  R, Pearson  M, Moxham  T. What influences the uptake of information to prevent skin cancer? a systematic review and synthesis of qualitative research [published online October 25, 2009]. Health Educ Res 2009;
PubMed
PubMed
van Osch  L, Reubsaet  A, Lechner  L, de Vries  H. The formation of specific action plans can enhance sun protection behavior in motivated parents. Prev Med 2008;47 (1) 127- 132
PubMed
de Vries  H, Mesters  I, Riet  JV, Willems  K, Reubsaet  A. Motives of Belgian adolescents for using sunscreen: the role of action plans. Cancer Epidemiol Biomarkers Prev 2006;15 (7) 1360- 1366
PubMed
Epping-Jordan  JE, Pruitt  SD, Bengoa  R, Wagner  EH. Improving the quality of health care for chronic conditions. Qual Saf Health Care 2004;13 (4) 299- 305
PubMed
Eide  MJ, Weinstock  MA, Dufresne  RG  Jr.  et al.  Relationship of treatment delay with surgical defect size from keratinocyte carcinoma (basal cell carcinoma and squamous cell carcinoma of the skin). J Invest Dermatol 2005;124 (2) 308- 314
PubMed
Smeets  NW, Krekels  GA, Ostertag  JU.  et al.  Surgical excision vs Mohs' micrographic surgery for basal cell carcinoma of the face: randomized controlled trial. Lancet 2004;364 (9447) 1766- 1772
PubMed
Bellon  E, Aerts  W, Vanautgaerden  M.  et al.  Web-access to a central medical record to improve cooperation between hospital and referring physicians. Stud Health Technol Inform 2002;93145- 153
PubMed
Müller  ML, Uckert  F, Bürkle  T, Prokosch  HU. Cross-institutional data exchange using the clinical document architecture (CDA). Int J Med Inform 2005;74 (2-4) 245- 256
PubMed
Moreno-Ramirez  D, Ferrandiz  L, Nieto-Garcia  A.  et al.  Store-and-forward teledermatology in skin cancer triage: experience and evaluation of 2009 teleconsultations. Arch Dermatol 2007;143 (4) 479- 484
PubMed
May  C, Giles  L, Gupta  G. Prospective observational comparative study assessing the role of store-and-forward teledermatology triage in skin cancer. Clin Exp Dermatol 2008;33 (6) 736- 739
PubMed
Hsiao  JL, Oh  DH. The impact of store-and-forward teledermatology on skin cancer diagnosis and treatment. J Am Acad Dermatol 2008;59 (2) 260- 267
PubMed
 Guideline: Melanoma of the Skin [in Dutch].  Alphen aan den Rijn, the Netherlands Van Zuiden Communications BV2005;
 Guideline: Treatment of Patients With Basal Cell Carcinoma [in Dutch].  Alphen aan den Rijn, the Netherlands Van Zuiden Communications BV2003;
Rozinat  A, van der Aalst  WMP. Conformance checking of processes based on monitoring real behavior. Inf Syst 2008;33 (1) 64- 95
Reece  SM, Harden  PN, Smith  AG, Ramsay  HM. A model for nurse-led skin cancer surveillance following renal transplantation. Nephrol Nurse J 2002;29 (3) 257- 259, 267
PubMed
PubMed
Jagtman  E. A multi-variate approach to deal with the increasing number of skin cancer patients [in Dutch]. Med Contact (Bussum) 2008;631804- 1807
Fieschi  M, Dufour  JC, Staccini  P, Gouvernet  J, Bouhaddou  O. Medical decision support systems: old dilemmas and new paradigms? Methods Inf Med 2003;42 (3) 190- 198
PubMed
Maviglia  SM, Zielstorff  RD, Paterno  M, Teich  JM, Bates  DW, Kuperman  GJ. Automating complex guidelines for chronic disease: lessons learned. J Am Med Inform Assoc 2003;10 (2) 154- 165
PubMed
Lenz  R, Reichert  M. IT support for healthcare processes premises, challenges, perspectives. Data Knowledge Eng 2007;61 (1) 39- 58
Mans  R, Schonenberg  H, Leonardi  G,  et al.  Process mining techniques: an application to stroke care. Andersen  SK, Klein  MCA, Schulz  S, Aarts  J, Mazzoleni  MC.eds. eHealth Beyond The Horizon: Get IT There.  Amsterdam, Netherlands IOS Press2008;
Watson  AJ, Kvedar  JC. Staying on top in dermatology: why we must act now to address the capacity challenge. Arch Dermatol 2008;144 (4) 541- 544
PubMed
Carrigan  MD, Kujawa  D. Six Sigma in health care management and strategy. Health Care Manag (Frederick) 2006;25 (2) 133- 141
PubMed
Chassin  R. The Six Sigma initiative at Mount Sinai medical center. Mt Sinai J Med 2008;75 (1) 45- 52
PubMed
Printezis  A, Gopalakrishnan  M. Current pulse: can a production system reduce medical errors in health care? Qual Manag Health Care 2007;16 (3) 226- 238
PubMed

Correspondence

CME Course for:


You need to register in order to view this quiz.


To understand the clinical management of acute heart failure syndromes.
Accreditation Information The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
To view and print your certificate and access a summary of your CME courses go to My CME.
NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s “Cited By” API will populate this tab (http://www.crossref.org/citedby.html).
Submit a Comment

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Topics
PubMed Articles