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Development and Implementation of Clinical Outcome Measures for Automated Collection Within Specialty Pharmacy Practice
BACKGROUND: Johns Hopkins Specialty Pharmacy Services recognized the need to identify and develop standardized collection methods for clinical outcome measures (COMs) to demonstrate program quality and value to third-party payers, manufacturers, and internal stakeholders. OBJECTIVE: To define specia...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academy of Managed Care Pharmacy
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391232/ https://www.ncbi.nlm.nih.gov/pubmed/32584676 http://dx.doi.org/10.18553/jmcp.2020.26.7.901 |
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author | Patel, Katherine Chim, Yee-Ling Grant, Jonathan Wascher, Molly Nathanson, Amy Canfield, Scott |
author_facet | Patel, Katherine Chim, Yee-Ling Grant, Jonathan Wascher, Molly Nathanson, Amy Canfield, Scott |
author_sort | Patel, Katherine |
collection | PubMed |
description | BACKGROUND: Johns Hopkins Specialty Pharmacy Services recognized the need to identify and develop standardized collection methods for clinical outcome measures (COMs) to demonstrate program quality and value to third-party payers, manufacturers, and internal stakeholders. OBJECTIVE: To define specialty COMs and develop a framework for standardized data collection and reporting. METHODS: COMs for specialty pharmacy disease states (cystic fibrosis; hepatitis C; inflammatory conditions in dermatology, gastroenterology and rheumatology; and multiple sclerosis) were identified through a literature search, collaboration with specialty pharmacists, and committee review. Once identified, these measures were distributed to internal and external stakeholders that included specialty clinic team members, drug manufacturers, and third-party payers for input and validation. A standardized process for discrete documentation and data collection of these measures was implemented using case management software, electronic medical record integration, and informatics support. RESULTS: 28 COMs were identified. The various data sources used to collect the COMs were incorporated into an automated virtual dashboard to allow for regular review and sharing with clinicians, leadership, and other key stakeholders. The virtual dashboard included COMs with data derived from electronic medical records (n = 9), patient-reported outcomes based on responses to pharmacist-delivered questions (n = 11), and pharmacist assessment of outcomes (n = 8). The completed virtual dashboard was further refined to allow for reporting of both population and patient-level outcome results on a quarterly basis. CONCLUSIONS: This project describes methods to standardize documentation, data collection, and reporting of clinical outcomes data for multiple specialty conditions in a health system-integrated specialty pharmacy program. Through literature review and stakeholder consultation, a variety of potential COMs were identified for further evaluation of feasibility and value considering documentation and data collection requirements. Incorporation of COMs into a virtual dashboard will help facilitate the evaluation of program effectiveness, quality improvement planning, and sharing with stakeholders. Additional opportunities exist to further standardize COMs across the pharmacy industry to allow for future benchmarking and standardized evaluation of patient care programs. |
format | Online Article Text |
id | pubmed-10391232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Academy of Managed Care Pharmacy |
record_format | MEDLINE/PubMed |
spelling | pubmed-103912322023-08-02 Development and Implementation of Clinical Outcome Measures for Automated Collection Within Specialty Pharmacy Practice Patel, Katherine Chim, Yee-Ling Grant, Jonathan Wascher, Molly Nathanson, Amy Canfield, Scott J Manag Care Spec Pharm Research Brief BACKGROUND: Johns Hopkins Specialty Pharmacy Services recognized the need to identify and develop standardized collection methods for clinical outcome measures (COMs) to demonstrate program quality and value to third-party payers, manufacturers, and internal stakeholders. OBJECTIVE: To define specialty COMs and develop a framework for standardized data collection and reporting. METHODS: COMs for specialty pharmacy disease states (cystic fibrosis; hepatitis C; inflammatory conditions in dermatology, gastroenterology and rheumatology; and multiple sclerosis) were identified through a literature search, collaboration with specialty pharmacists, and committee review. Once identified, these measures were distributed to internal and external stakeholders that included specialty clinic team members, drug manufacturers, and third-party payers for input and validation. A standardized process for discrete documentation and data collection of these measures was implemented using case management software, electronic medical record integration, and informatics support. RESULTS: 28 COMs were identified. The various data sources used to collect the COMs were incorporated into an automated virtual dashboard to allow for regular review and sharing with clinicians, leadership, and other key stakeholders. The virtual dashboard included COMs with data derived from electronic medical records (n = 9), patient-reported outcomes based on responses to pharmacist-delivered questions (n = 11), and pharmacist assessment of outcomes (n = 8). The completed virtual dashboard was further refined to allow for reporting of both population and patient-level outcome results on a quarterly basis. CONCLUSIONS: This project describes methods to standardize documentation, data collection, and reporting of clinical outcomes data for multiple specialty conditions in a health system-integrated specialty pharmacy program. Through literature review and stakeholder consultation, a variety of potential COMs were identified for further evaluation of feasibility and value considering documentation and data collection requirements. Incorporation of COMs into a virtual dashboard will help facilitate the evaluation of program effectiveness, quality improvement planning, and sharing with stakeholders. Additional opportunities exist to further standardize COMs across the pharmacy industry to allow for future benchmarking and standardized evaluation of patient care programs. Academy of Managed Care Pharmacy 2020-07 /pmc/articles/PMC10391232/ /pubmed/32584676 http://dx.doi.org/10.18553/jmcp.2020.26.7.901 Text en Copyright © 2020, Academy of Managed Care Pharmacy. All rights reserved. https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Brief Patel, Katherine Chim, Yee-Ling Grant, Jonathan Wascher, Molly Nathanson, Amy Canfield, Scott Development and Implementation of Clinical Outcome Measures for Automated Collection Within Specialty Pharmacy Practice |
title | Development and Implementation of Clinical Outcome Measures for Automated Collection Within Specialty Pharmacy Practice |
title_full | Development and Implementation of Clinical Outcome Measures for Automated Collection Within Specialty Pharmacy Practice |
title_fullStr | Development and Implementation of Clinical Outcome Measures for Automated Collection Within Specialty Pharmacy Practice |
title_full_unstemmed | Development and Implementation of Clinical Outcome Measures for Automated Collection Within Specialty Pharmacy Practice |
title_short | Development and Implementation of Clinical Outcome Measures for Automated Collection Within Specialty Pharmacy Practice |
title_sort | development and implementation of clinical outcome measures for automated collection within specialty pharmacy practice |
topic | Research Brief |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391232/ https://www.ncbi.nlm.nih.gov/pubmed/32584676 http://dx.doi.org/10.18553/jmcp.2020.26.7.901 |
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