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Pereira N, Duff JP, Hayward T, Kherani T, Moniz N, Champigny C, Carson-Stevens A, Bowie P, Egan R. Methods for studying medication safety following electronic health record implementation in acute care: a scoping review. J Am Med Inform Assoc 2024; 31:499-508. [PMID: 38037171 PMCID: PMC10797275 DOI: 10.1093/jamia/ocad231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 11/13/2023] [Accepted: 11/21/2023] [Indexed: 12/02/2023] Open
Abstract
OBJECTIVES The objective of this scoping review is to map methods used to study medication safety following electronic health record (EHR) implementation. Patterns and methodological gaps can provide insight for future research design. MATERIALS AND METHODS We used the Joanna Briggs Institute scoping review methodology and a custom data extraction table to summarize the following data: (1) study demographics (year, country, setting); (2) study design, study period, data sources, and measures; (3) analysis strategy; (4) identified limitations or recommendations; (5) quality appraisal; and (6) if a Safety-I or Safety-II perspective was employed. RESULTS We screened 5879 articles. One hundred and fifteen articles met our inclusion criteria and were assessed for eligibility by full-text review. Twenty-seven articles were eligible for extraction. DISCUSSION AND CONCLUSION We found little consistency in how medication safety following EHR implementation was studied. Three study designs, 7 study settings, and 10 data sources were used across 27 articles. None of the articles shared the same combination of design, data sources, study periods, and research settings. Outcome measures were neither defined nor measured consistently. It may be difficult for researchers to aggregate and synthesize medication safety findings following EHR implementation research. All studies but one used a Safety-I perspective to study medication safety. We offer a conceptual model to support a more consistent approach to studying medication safety following EHR implementation.
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Affiliation(s)
- Nichole Pereira
- Faculty of Health Sciences, Health Quality Program, Queen’s University, Kingston, ON K7L 3N6, Canada
- Pediatric Intensive Care Unit, Alberta Health Services, Edmonton, AB T6G 2B7, Canada
| | - Jonathan P Duff
- Pediatric Intensive Care Unit, Alberta Health Services, Edmonton, AB T6G 2B7, Canada
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 1C9, Canada
| | - Tracy Hayward
- Department of Patient Safety, Covenant Health, Edmonton, AB T5R 4H5, Canada
| | - Tamizan Kherani
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 1C9, Canada
| | - Nadine Moniz
- Stroke Program, Alberta Health Services, Edmonton, AB T6G 2J3, Canada
| | | | - Andrew Carson-Stevens
- Faculty of Health Sciences, Health Quality Program, Queen’s University, Kingston, ON K7L 3N6, Canada
- Division of Population Medicine, School of Medicine, Cardiff University, Cardiff CF14 4XN, United Kingdom
| | - Paul Bowie
- Faculty of Health Sciences, Health Quality Program, Queen’s University, Kingston, ON K7L 3N6, Canada
- Medical Directorate, NHS Education for Scotland, Glasgow EH4 2XU, United Kingdom
- Institute of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, United Kingdom
| | - Rylan Egan
- Faculty of Health Sciences, Health Quality Program, Queen’s University, Kingston, ON K7L 3N6, Canada
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Subbe CP, Tellier G, Barach P. Impact of electronic health records on predefined safety outcomes in patients admitted to hospital: a scoping review. BMJ Open 2021; 11:e047446. [PMID: 33441368 PMCID: PMC7812113 DOI: 10.1136/bmjopen-2020-047446] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES Review available evidence for impact of electronic health records (EHRs) on predefined patient safety outcomes in interventional studies to identify gaps in current knowledge and design interventions for future research. DESIGN Scoping review to map existing evidence and identify gaps for future research. DATA SOURCES PubMed, the Cochrane Library, EMBASE, Trial registers. STUDY SELECTION Eligibility criteria: We conducted a scoping review of bibliographic databases and the grey literature of randomised and non-randomised trials describing interventions targeting a list of fourteen predefined areas of safety. The search was limited to manuscripts published between January 2008 and December 2018 of studies in adult inpatient settings and complemented by a targeted search for studies using a sample of EHR vendors. Studies were categorised according to methodology, intervention characteristics and safety outcome.Results from identified studies were grouped around common themes of safety measures. RESULTS The search yielded 583 articles of which 24 articles were included. The identified studies were largely from US academic medical centres, heterogeneous in study conduct, definitions, treatment protocols and study outcome reporting. Of the 24 included studies effective safety themes included medication reconciliation, decision support for prescribing medications, communication between teams, infection prevention and measures of EHR-specific harm. Heterogeneity of the interventions and study characteristics precluded a systematic meta-analysis. Most studies reported process measures and not patient-level safety outcomes: We found no or limited evidence in 13 of 14 predefined safety areas, with good evidence limited to medication safety. CONCLUSIONS Published evidence for EHR impact on safety outcomes from interventional studies is limited and does not permit firm conclusions regarding the full safety impact of EHRs or support recommendations about ideal design features. The review highlights the need for greater transparency in quality assurance of existing EHRs and further research into suitable metrics and study designs.
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Affiliation(s)
- Christian Peter Subbe
- School of Medical Sciences, Bangor University, Bangor, UK
- Medicine, Ysbyty Gwynedd, Bangor, UK
| | | | - Paul Barach
- Pediatrics, Wayne State University, Detroit, Michigan, USA
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