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Developing key performance indicators for prescription medication systems
OBJECTIVE: To develop key performance indicators that evaluate the effectiveness of a prescription medication system. METHODS: A modified RAND/UCLA appropriateness method was used to develop key performance indicators (KPIs) for a prescription medication system. A broad list of potential KPIs was co...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333341/ https://www.ncbi.nlm.nih.gov/pubmed/30645647 http://dx.doi.org/10.1371/journal.pone.0210794 |
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author | Spackman, Eldon Clement, Fiona Allan, G. Michael Bell, Chaim M. Bjerre, Lise M. Blackburn, Dave F. Blais, Régis Hazlewood, Glen Klarenbach, Scott Nicolle, Lindsay E. Persaud, Nav Alessi-Severini, Silvia Tierney, Mike Wijeysundera, Harindra C. Manns, Braden |
author_facet | Spackman, Eldon Clement, Fiona Allan, G. Michael Bell, Chaim M. Bjerre, Lise M. Blackburn, Dave F. Blais, Régis Hazlewood, Glen Klarenbach, Scott Nicolle, Lindsay E. Persaud, Nav Alessi-Severini, Silvia Tierney, Mike Wijeysundera, Harindra C. Manns, Braden |
author_sort | Spackman, Eldon |
collection | PubMed |
description | OBJECTIVE: To develop key performance indicators that evaluate the effectiveness of a prescription medication system. METHODS: A modified RAND/UCLA appropriateness method was used to develop key performance indicators (KPIs) for a prescription medication system. A broad list of potential KPIs was compiled. A multidisciplinary group composed of 21 experts rated the potential KPIs. A face-to-face meeting was held following the first rating exercise to discuss each potential KPI individually. The expert panel undertook a final rating of KPIs. The final set of KPIs were those indicators where at least 80 percent of experts rated the indicator highly i.e. rating of ≥ 7 on a scale from 1 to 9. RESULTS: 292 KPIs were identified from the published literature. After removing duplicates and combining similar indicators 71 KPIs were included. The final ranking resulted in six indicators being ranked 7 or higher by 80% of the respondents and an additional seven indicators being ranked 7 or higher by ≥70 but ≤80% of respondents. The six selected indicators include four specific disease areas, measure structural and process aspects of health service delivery, and assessed three of the domains of healthcare quality: efficiency, effectiveness, and safety. CONCLUSIONS: These indicators are recommended as a starting point to assess the current performance of prescription medication systems. Consideration should be given to developing indicators in additional disease areas as well as indicators that measure the domains of timeliness and patient–centeredness. Future work should focus on the feasibility of measuring these indicators. |
format | Online Article Text |
id | pubmed-6333341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63333412019-01-31 Developing key performance indicators for prescription medication systems Spackman, Eldon Clement, Fiona Allan, G. Michael Bell, Chaim M. Bjerre, Lise M. Blackburn, Dave F. Blais, Régis Hazlewood, Glen Klarenbach, Scott Nicolle, Lindsay E. Persaud, Nav Alessi-Severini, Silvia Tierney, Mike Wijeysundera, Harindra C. Manns, Braden PLoS One Research Article OBJECTIVE: To develop key performance indicators that evaluate the effectiveness of a prescription medication system. METHODS: A modified RAND/UCLA appropriateness method was used to develop key performance indicators (KPIs) for a prescription medication system. A broad list of potential KPIs was compiled. A multidisciplinary group composed of 21 experts rated the potential KPIs. A face-to-face meeting was held following the first rating exercise to discuss each potential KPI individually. The expert panel undertook a final rating of KPIs. The final set of KPIs were those indicators where at least 80 percent of experts rated the indicator highly i.e. rating of ≥ 7 on a scale from 1 to 9. RESULTS: 292 KPIs were identified from the published literature. After removing duplicates and combining similar indicators 71 KPIs were included. The final ranking resulted in six indicators being ranked 7 or higher by 80% of the respondents and an additional seven indicators being ranked 7 or higher by ≥70 but ≤80% of respondents. The six selected indicators include four specific disease areas, measure structural and process aspects of health service delivery, and assessed three of the domains of healthcare quality: efficiency, effectiveness, and safety. CONCLUSIONS: These indicators are recommended as a starting point to assess the current performance of prescription medication systems. Consideration should be given to developing indicators in additional disease areas as well as indicators that measure the domains of timeliness and patient–centeredness. Future work should focus on the feasibility of measuring these indicators. Public Library of Science 2019-01-15 /pmc/articles/PMC6333341/ /pubmed/30645647 http://dx.doi.org/10.1371/journal.pone.0210794 Text en © 2019 Spackman et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Spackman, Eldon Clement, Fiona Allan, G. Michael Bell, Chaim M. Bjerre, Lise M. Blackburn, Dave F. Blais, Régis Hazlewood, Glen Klarenbach, Scott Nicolle, Lindsay E. Persaud, Nav Alessi-Severini, Silvia Tierney, Mike Wijeysundera, Harindra C. Manns, Braden Developing key performance indicators for prescription medication systems |
title | Developing key performance indicators for prescription medication systems |
title_full | Developing key performance indicators for prescription medication systems |
title_fullStr | Developing key performance indicators for prescription medication systems |
title_full_unstemmed | Developing key performance indicators for prescription medication systems |
title_short | Developing key performance indicators for prescription medication systems |
title_sort | developing key performance indicators for prescription medication systems |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333341/ https://www.ncbi.nlm.nih.gov/pubmed/30645647 http://dx.doi.org/10.1371/journal.pone.0210794 |
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