The Quality Improvement Review Board: An Innovative Approach to Oversight of Projects That Do Not Meet Criteria of Human Subjects Research.
This article describes the development of an institutional quality improvement review board (QIRB) as an effective and efficient method for reviewing and overseeing institutional quality improvement (QI) initiatives. QI projects involve the systematic collection and analysis of data and the implemen...
| Publicado en: | Quality Management in Health Care Vol. 33; no. 4; pp. 269 - 278 |
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| Autores principales: | , , , , , , , , , |
| Formato: | algorithm forms tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Oct-Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180475396&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180475396 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10638628 0O9 jtl: Quality Management in Health Care issn: 10638628 maglogo: N pubinfo: dt: Oct-Dec2024 vid: 33 iid: 4 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 180475396 180475396 180475396 10.1097/QMH.0000000000000446 180475396 ppf: 269 ppct: 9 formats: tig: atl: The Quality Improvement Review Board: An Innovative Approach to Oversight of Projects That Do Not Meet Criteria of Human Subjects Research. aug: au: Denison, Toni L. Sorensen, Kristyn U. Blanton, Michael P. Johnson, Lara Byrd, Theresa Pass, Steven E. Philips, Lacy Miller, Joyce McMahon, Lance R. Cherry, Barbara affil: Texas Tech University Health Sciences Center, Lubbock sug: subj: Research Subjects Research, Medical Diffusion of Innovation Institutional Review Quality Improvement Data Collection Professional Organizations Peer Review Organizational Structure Interprofessional Relations Leadership ab: This article describes the development of an institutional quality improvement review board (QIRB) as an effective and efficient method for reviewing and overseeing institutional quality improvement (QI) initiatives. QI projects involve the systematic collection and analysis of data and the implementation of interventions designed to improve the quality of clinical care and/or educational programs for a distinct population in a specific setting. QI projects are fundamentally distinct from human subjects research (HuSR); however, the differences between them are subtle and highly nuanced. Determining whether a project meets the definition of QI or qualifies as HuSR, thus requiring institutional review board (IRB) review, can be confusing and frustrating. Nevertheless, this distinction is highly consequential due to the heavy regulatory requirements involved in HuSR and IRB oversight. Making the correct determination of a project's regulatory status is essential before the project begins. Project leaders may not realize that their work meets the definition of HuSR and, therefore, might conduct the project without appropriate IRB review. Therefore, best practices dictate that project leaders should not decide which type of institutional review is appropriate for their projects. In addition, when QI project teams attempt to disseminate the results of their work, documentation of formal review and approval is generally required by peer-reviewed journals and professional organizations. However, institutional review mechanisms are rarely available. Projects that do not meet the definition of HuSR fall outside the purview of IRBs and most institutions do not have an alternative review body. This creates frustration for both project leaders and IRB administrators. Apart from IRB review, a separate process for reviewing QI projects offers several benefits. These include (1) relieving the burden on busy IRB staff; (2) promoting scholarly activity; (3) protecting the institution, project leaders, and participants from HuSR conducted outside of appropriate IRB review; and (4) promoting rigorous QI methods. pubtype: Academic Journal doctype: algorithm forms tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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