Monitoring and evaluation of breast cancer screening programmes : selecting candidate performance indicators
Autor: | Muratov, Sergei, Canelo-Aybar, Carlos, Tarride, Jean-Eric, Alonso-Coello, Pablo, Dimitrova, Nadya, Borisch, Bettina, Castells, Xavier, Duffy, Stephen W., Fitzpatrick, Patricia, Follmann, Markus, Giordano, Livia, Hofvind, Solveig, Lebeau, Annette, Quinn, Cecily, Torresin, Alberto, Vialli, Claudia, Siesling, Sabine, Ponti, Antonio, Giorgi Rossi, Paolo, Schünemann, Holger, Nyström, Lennarth, Broeders, Mireille, Autelitano, Mariangela, Colzani, Edoardo, Daneš, Jan, Gräwingholt, Axel, Ioannidou-Mouzaka, Lydia, Knox, Susan, Langendam, Miranda, McGarrigle, Helen, Pérez Gómez, Elsa, van Engen, Ruben, Warman, Sue, Young, Kenneth, van Landsveld-Verhoeven, Cary, Lerda, Donata, Saz-Parkinson, Zuleika, Parmelli, Elena, Janusch-Roi, Annett |
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Přispěvatelé: | Epidemiology and Data Science, APH - Mental Health, APH - Methodology, APH - Quality of Care, Health Technology & Services Research |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Cancer Research Time Factors medicine.medical_treatment Biopsy Quality indicators methods Breast cancer screening 0302 clinical medicine Health care Breast neoplasms/diagnostic imaging Mass Screening Breast Mastectomy Health care/standards medicine.diagnostic_test Middle Aged lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens Women's cancers Radboud Institute for Health Sciences [Radboudumc 17] Europe Early detection of Cancer standards Oncology 030220 oncology & carcinogenesis Practice Guidelines as Topic Mass screening/methods Early detection of Cancer/methods Female Research Article Mammography medicine.medical_specialty Breast Neoplasms lcsh:RC254-282 03 medical and health sciences Breast cancer All institutes and research themes of the Radboud University Medical Center Genetics medicine Humans Selection (genetic algorithm) Aged Quality Indicators Health Care Cancer och onkologi business.industry Early detection of Cancer*/methods Health Plan Implementation diagnostic imaging Monitoring and evaluation Mass screening Patient Acceptance of Health Care medicine.disease 030104 developmental biology Ranking Family medicine Cancer and Oncology Programme evaluation Performance indicator Breast neoplasms business Program Evaluation |
Zdroj: | BMC CANCER r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau instname BMC Cancer, Vol 20, Iss 1, Pp 1-10 (2020) BMC cancer, 20(1):795. BioMed Central BMC Cancer BMC cancer, 20:795. BioMed Central BMC Cancer, 20 BMC Cancer, 20, 1 |
ISSN: | 1471-2407 |
Popis: | Background In the scope of the European Commission Initiative on Breast Cancer (ECIBC) the Monitoring and Evaluation (M&E) subgroup was tasked to identify breast cancer screening programme (BCSP) performance indicators, including their acceptable and desirable levels, which are associated with breast cancer (BC) mortality. This paper documents the methodology used for the indicator selection. Methods The indicators were identified through a multi-stage process. First, a scoping review was conducted to identify existing performance indicators. Second, building on existing frameworks for making well-informed health care choices, a specific conceptual framework was developed to guide the indicator selection. Third, two group exercises including a rating and ranking survey were conducted for indicator selection using pre-determined criteria, such as: relevance, measurability, accurateness, ethics and understandability. The selected indicators were mapped onto a BC screening pathway developed by the M&E subgroup to illustrate the steps of BC screening common to all EU countries. Results A total of 96 indicators were identified from an initial list of 1325 indicators. After removing redundant and irrelevant indicators and adding those missing, 39 candidate indicators underwent the rating and ranking exercise. Based on the results, the M&E subgroup selected 13 indicators: screening coverage, participation rate, recall rate, breast cancer detection rate, invasive breast cancer detection rate, cancers > 20 mm, cancers ≤10 mm, lymph node status, interval cancer rate, episode sensitivity, time interval between screening and first treatment, benign open surgical biopsy rate, and mastectomy rate. Conclusion This systematic approach led to the identification of 13 BCSP candidate performance indicators to be further evaluated for their association with BC mortality. |
Databáze: | OpenAIRE |
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