BACKGROUND: Medication reconciliation can prevent medication errors and harm when patients transition between hospital and other care settings. Though a Joint Commission hospital Patient Safety Goal since 2006, organizations continue to have difficulty implementing the process. OBJECTIVE: To determine factors that influence performance of medication reconciliation in a hospital setting with a computerized medication reconciliation tool. DESIGN: Cognitive task analysis (CTA) and focus group interviews. SETTING: Urban, academic, tertiary-care Veterans Affairs medical center. PARTICIPANTS: Internal medicine house staff physicians (n = 23) and inpatient staff pharmacists (n = 12). MEASUREMENTS: CTA participants verbalized their thoughts while they completed medication reconciliation with the computerized tool. Focus group participants described medication reconciliation's purpose and effectiveness, how they completed the task, and its barriers and facilitators. Interviews were recorded and analyzed using social science methods for analyzing qualitative data. RESULTS: Participants agreed that a central goal of medication reconciliation is to prevent prescribing errors, but disagreed about whether it achieves this goal. Computerization facilitated the task, but participants said that computers and patients can be unreliable sources of information. Participants varied in how they sequenced components of the task. When time was limited, physicians considered other responsibilities higher priority. Both physicians and pharmacists expressed low self-efficacy, ie, low perceived capability to achieve the objectives of the process. CONCLUSION: Key barriers to medication reconciliation are unreliable sources of medication information and tasks that compete for providers' time and attention that they consider higher priority. Addressing these barriers while increasing providers' self-efficacy might improve medication reconciliation and its outcomes.
BACKGROUND: Medication reconciliation can prevent medication errors and harm when patients transition between hospital and other care settings. Though a Joint Commission hospital Patient Safety Goal since 2006, organizations continue to have difficulty implementing the process. OBJECTIVE: To determine factors that influence performance of medication reconciliation in a hospital setting with a computerized medication reconciliation tool. DESIGN: Cognitive task analysis (CTA) and focus group interviews. SETTING: Urban, academic, tertiary-care Veterans Affairs medical center. PARTICIPANTS: Internal medicine house staff physicians (n = 23) and inpatient staff pharmacists (n = 12). MEASUREMENTS: CTA participants verbalized their thoughts while they completed medication reconciliation with the computerized tool. Focus group participants described medication reconciliation's purpose and effectiveness, how they completed the task, and its barriers and facilitators. Interviews were recorded and analyzed using social science methods for analyzing qualitative data. RESULTS:Participants agreed that a central goal of medication reconciliation is to prevent prescribing errors, but disagreed about whether it achieves this goal. Computerization facilitated the task, but participants said that computers and patients can be unreliable sources of information. Participants varied in how they sequenced components of the task. When time was limited, physicians considered other responsibilities higher priority. Both physicians and pharmacists expressed low self-efficacy, ie, low perceived capability to achieve the objectives of the process. CONCLUSION: Key barriers to medication reconciliation are unreliable sources of medication information and tasks that compete for providers' time and attention that they consider higher priority. Addressing these barriers while increasing providers' self-efficacy might improve medication reconciliation and its outcomes.
Authors: Pavani Rangachari; Kevin C Dellsperger; David Fallaw; Ian Davis; Michael Sumner; Walter Ray; Shashana Fiedler; Tran Nguyen; R Karl Rethemeyer Journal: Qual Manag Health Care Date: 2019 Apr/Jun Impact factor: 0.926
Authors: Masoud Hosseini; Anthony Faiola; Josette Jones; Daniel J Vreeman; Huanmei Wu; Brian E Dixon Journal: J Am Med Inform Assoc Date: 2019-02-01 Impact factor: 4.497
Authors: Theodore B Wright; Kathleen Adams; Victoria L Church; Mimi Ferraro; Scott Ragland; Anthony Sayers; Stephanie Tallett; Travis Lovejoy; Joan Ash; Patricia J Holahan; Blake J Lesselroth Journal: AMIA Annu Symp Proc Date: 2018-04-16
Authors: Joshua M Pevnick; Katherine A Palmer; Rita Shane; Cindy N Wu; Douglas S Bell; Frank Diaz; Galen Cook-Wiens; Cynthia A Jackevicius Journal: J Am Med Inform Assoc Date: 2016-01-17 Impact factor: 4.497