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A tool for evaluating the potential for cost-effective outcomes measurement
Cost related to higher-level outcomes measurement is often very high. However, the cost burden is felt even more by smaller, less well-funded continuing medical education (CME) programs. It is possible to overcome financial and participant-related barriers to measuring Level 6 outcomes, which are pa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346196/ https://www.ncbi.nlm.nih.gov/pubmed/22573943 http://dx.doi.org/10.2147/IJGM.S30546 |
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author | Somasekhar, Melinda M Bove, Alfred Rausch, Chris Degnan, James King, Cathy T Meyer, Arnold |
author_facet | Somasekhar, Melinda M Bove, Alfred Rausch, Chris Degnan, James King, Cathy T Meyer, Arnold |
author_sort | Somasekhar, Melinda M |
collection | PubMed |
description | Cost related to higher-level outcomes measurement is often very high. However, the cost burden is felt even more by smaller, less well-funded continuing medical education (CME) programs. It is possible to overcome financial and participant-related barriers to measuring Level 6 outcomes, which are patient health outcomes. The Temple University School of Medicine’s Office for Continuing Medical Education developed a sequential tool for attaining cost-effective outcomes measurement for determining the likelihood of a CME intervention to produce significant changes in physician performance. The appropriate selection of the CME topic and specific practice change indictors drive this tool. This tool walks providers through a simple YES or NO decision-making list that guides them toward an accurate prediction of potential programmatic outcomes. Factors considered during the decision-making process include whether: (a) the intended change(s) will have a substantial impact on current practice; (b) the intended practice change(s) are well supported by clinical data, specialty organization/government recommendations, expert opinion, etc; (c) the potential change(s) affects a large population; (d) external factors, such as system pressures, media pressures, financial pressures, patient pressures, safety pressures, etc, are driving this intended change in performance; (e) there is a strong motivation on the part of physicians to implement the intended change(s); and (f) the intended change(s) is relatively easy to implement within any system of practice. If each of these questions can be responded to positively, there is a higher likelihood that the intended practice-related change(s) will occur. Such change can be measured using a simpler and less costly methodology. |
format | Online Article Text |
id | pubmed-3346196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33461962012-05-09 A tool for evaluating the potential for cost-effective outcomes measurement Somasekhar, Melinda M Bove, Alfred Rausch, Chris Degnan, James King, Cathy T Meyer, Arnold Int J Gen Med Methodology Cost related to higher-level outcomes measurement is often very high. However, the cost burden is felt even more by smaller, less well-funded continuing medical education (CME) programs. It is possible to overcome financial and participant-related barriers to measuring Level 6 outcomes, which are patient health outcomes. The Temple University School of Medicine’s Office for Continuing Medical Education developed a sequential tool for attaining cost-effective outcomes measurement for determining the likelihood of a CME intervention to produce significant changes in physician performance. The appropriate selection of the CME topic and specific practice change indictors drive this tool. This tool walks providers through a simple YES or NO decision-making list that guides them toward an accurate prediction of potential programmatic outcomes. Factors considered during the decision-making process include whether: (a) the intended change(s) will have a substantial impact on current practice; (b) the intended practice change(s) are well supported by clinical data, specialty organization/government recommendations, expert opinion, etc; (c) the potential change(s) affects a large population; (d) external factors, such as system pressures, media pressures, financial pressures, patient pressures, safety pressures, etc, are driving this intended change in performance; (e) there is a strong motivation on the part of physicians to implement the intended change(s); and (f) the intended change(s) is relatively easy to implement within any system of practice. If each of these questions can be responded to positively, there is a higher likelihood that the intended practice-related change(s) will occur. Such change can be measured using a simpler and less costly methodology. Dove Medical Press 2012-04-18 /pmc/articles/PMC3346196/ /pubmed/22573943 http://dx.doi.org/10.2147/IJGM.S30546 Text en © 2012 Somasekhar 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. |
spellingShingle | Methodology Somasekhar, Melinda M Bove, Alfred Rausch, Chris Degnan, James King, Cathy T Meyer, Arnold A tool for evaluating the potential for cost-effective outcomes measurement |
title | A tool for evaluating the potential for cost-effective outcomes measurement |
title_full | A tool for evaluating the potential for cost-effective outcomes measurement |
title_fullStr | A tool for evaluating the potential for cost-effective outcomes measurement |
title_full_unstemmed | A tool for evaluating the potential for cost-effective outcomes measurement |
title_short | A tool for evaluating the potential for cost-effective outcomes measurement |
title_sort | tool for evaluating the potential for cost-effective outcomes measurement |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346196/ https://www.ncbi.nlm.nih.gov/pubmed/22573943 http://dx.doi.org/10.2147/IJGM.S30546 |
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