Application of patient safety indicators internationally: a pilot study among seven countries

Drösler, Saskia E.; Klazinga, Niek; Romano, Patrick S.; Tancredi, Daniel J.; Aoiz, Maria A. Gogorcena; Hewitt, Moira C.; Scobie, Sarah; Soop, Michael; Wen, Eugene; Quan, Hude; Ghali, William A.; Mattke, Soeren; Kelley, Edward

doi:10.1093/intqhc/mzp018

Cited by 53 publications

(45 citation statements)

References 7 publications

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“…22 The appropriateness of using administrative data for these purposes has been widely debated in the literature in the absence of strong evidence on the validity of the AHRQ PSIs. [23][24][25] Despite widespread recognition that the sensitivity and specificity of administrative data for such events is suboptimal, the AHRQ PSIs have been broadly implemented in analyses of American and International administrative databases.…”

Section: Discussionmentioning

confidence: 99%

Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data

et al. 2017

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Background: Existing administrative data patient safety indicators (PSIs) have been limited by uncertainty around the timing of onset of included diagnoses. Objective: We undertook de novo PSI development through a data-driven approach that drew upon “diagnosis timing” information available in some countries’ administrative hospital data. Research Design: Administrative database analysis and modified Delphi rating process. Subjects: All hospitalized adults in Canada in 2009. Measures: We queried all hospitalizations for ICD-10-CA diagnosis codes arising during hospital stay. We then undertook a modified Delphi panel process to rate the extent to which each of the identified diagnoses has a potential link to suboptimal quality of care. We grouped the identified quality/safety-related diagnoses into relevant clinical categories. Lastly, we queried Alberta hospital discharge data to assess the frequency of the newly defined PSI events. Results: Among 2,416,413 national hospitalizations, we found 2590 unique ICD-10-CA codes flagged as having arisen after admission. Seven panelists evaluated these in a 2-round review process, and identified a listing of 640 ICD-10-CA diagnosis codes judged to be linked to suboptimal quality of care and thus appropriate for inclusion in PSIs. These were then grouped by patient safety experts into 18 clinically relevant PSI categories. We then analyzed data on 2,381,652 Alberta hospital discharges from 2005 through 2012, and found that 134,299 (5.2%) hospitalizations had at least 1 PSI diagnosis. Conclusion: The resulting work creates a foundation for a new set of PSIs for routine large-scale surveillance of hospital and health system performance.

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Section: Discussionmentioning

confidence: 99%

Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data

et al. 2017

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“…6,[16][17][18][19] Although awareness of this problem is growing dramatically, there has been uneven and slow progress in improving patient safety since the issuance of the IOM report. 20,21 Among the challenges involved in achieving tangible improvements in patient safety, none is more daunting than the need for major alterations in the educational preparation of health professional students.…”

Section: Introductionmentioning

confidence: 99%

Simulation in clinical teaching and learning

Weller

Nestel

Marshall

et al. 2012

Medical Journal of Australia

249

193

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Simulation‐based education (SBE) is a rapidly developing method of supplementing and enhancing the clinical education of medical students. Clinical situations are simulated for teaching and learning purposes, creating opportunities for deliberate practice of new skills without involving real patients. Simulation takes many forms, from simple skills training models to computerised full‐body mannequins, so that the needs of learners at each stage of their education can be targeted. Emerging evidence supports the value of simulation as an educational technique; to be effective it needs to be integrated into the curriculum in a way that promotes transfer of the skills learnt to clinical practice. Currently, SBE initiatives in Australia are fragmented and depend on local enthusiasts; Health Workforce Australia is driving initiatives to develop a more coordinated national approach to optimise the benefits of simulation.

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“…Some of these types of events are likely to indicate safety incidents occurring in secondary care but potentially not detected in that care setting due to their occurrence after hospital discharge. 20 …”

Section: Discussion Principal Findingsmentioning

confidence: 99%

Recording of adverse events in English general practice: analysis of data from electronic patient records

Tsang

Majeed²,

Banarsee³

et al. 2010

Journal of Innovation in Health Informatics

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Background Although the majority of patient contact within the UK's National Health Service (NHS) occurs in primary care, relatively little is known about the safety of care in this setting compared to the safety of hospital care. Measurement methods to detect iatrogenic diseases in primary care require extensive development. Routinely collected data have been successfully applied to develop patient safety indicators in secondary care. Given the availability of electronic health data in primary care, we explored the potential to build adverse event screening tools using computerised medical record systems.

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Application of patient safety indicators internationally: a pilot study among seven countries

Cited by 53 publications

References 7 publications

Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data

Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data

Simulation in clinical teaching and learning

Recording of adverse events in English general practice: analysis of data from electronic patient records

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