Developing a Checklist: Consensus Via a Modified Delphi Technique

• Published in: Journal of cardiothoracic and vascular anesthesia Vol. 30; no. 4; pp. 855 - 858
• Main Authors: Ogden, Shanna R., MD, Culp, William C., MD, Villamaria, Frank J., MD, Ball, Timothy R., MD
• Format: Journal Article Conference Proceeding
• Language: English
• Published: United States Elsevier Inc 01-08-2016
• Subjects: Anesthesia & Perioperative Care; Anesthesiology - standards; Cardiac Surgical Procedures - standards; cardiopulmonary bypass; Cardiopulmonary Bypass - methods; Cardiopulmonary Bypass - standards; Checklist; Clinical Competence - standards; Critical Care; Delphi Technique; Humans; medical errors; Medical Errors - prevention & control; patient safety; Quality Improvement; Safety Management - methods; Texas; cardiopulmonary bypass; medical errors; patient safety; checklist; Delphi technique
• ISSN: 1053-0770; 1532-8422
• DOI: 10.1053/j.jvca.2016.02.022

Objective To create a universal checklist of key preparatory steps to aid anesthesiologists in patient separation from cardiopulmonary bypass. Design Multistep, iterative survey with statistically guided refinement of survey items using a modified Delphi technique. Setting Internet-based surveys. Participants Ninety active members of the Society of Cardiovascular Anesthesiologists volunteered to participate, including geographically distributed private practice and academic physicians. Interventions A series of checklist items was created and distributed to 90 anesthesiologists, who assessed each item’s importance in preparing for patient separation from cardiopulmonary bypass and added, deleted, or modified any items as they saw fit. Items meeting a threshold of greater than 90% group acceptance were carried forward to a second survey. These items then were evaluated using a 5-point Likert scale to grade relative importance and then compared with the group’s responses, creating a third survey with refined checklist items. The results then were used to generate a final survey based on each item achieving certain predefined statistical criteria, which then were scored again by the participants, generating a final checklist via statistically guided consensus. Measurements and Main Results An initial checklist containing 28 possible items was proposed to the participants. After the iterative process was completed, a final checklist of 10 items deemed essential to prepare for bypass separation was created. Conclusions A checklist to aid in bypass separation was created with key steps derived from a statistically driven Delphi process. This technique of iterative consensus building may be useful in developing additional safety checklists.