| Literature DB >> 29449297 |
Maria R Dahm1, Andrew Georgiou1, Johanna I Westbrook1, David Greenfield2, Andrea R Horvath3,4, Denis Wakefield3,5, Ling Li1, Ken Hillman6,7, Patrick Bolton8, Anthony Brown9,10, Graham Jones3,11, Robert Herkes12, Robert Lindeman13, Michael Legg14,15, Meredith Makeham16, Daniel Moses3,17, Dauda Badmus1, Craig Campbell1,4, Rae-Anne Hardie1, Julie Li1, Euan McCaughey1,3,18, Gorkem Sezgin1, Judith Thomas1, Nasir Wabe1.
Abstract
INTRODUCTION: The failure to follow-up pathology and medical imaging test results poses patient-safety risks which threaten the effectiveness, quality and safety of patient care. The objective of this project is to: (1) improve the effectiveness and safety of test-result management through the establishment of clear governance processes of communication, responsibility and accountability; (2) harness health information technology (IT) to inform and monitor test-result management; (3) enhance the contribution of consumers to the establishment of safe and effective test-result management systems. METHODS AND ANALYSIS: This convergent mixed-methods project triangulates three multistage studies at seven adult hospitals and one paediatric hospital in Australia.Study 1 adopts qualitative research approaches including semistructured interviews, focus groups and ethnographic observations to gain a better understanding of test-result communication and management practices in hospitals, and to identify patient-safety risks which require quality-improvement interventions.Study 2 analyses linked sets of routinely collected healthcare data to examine critical test-result thresholds and test-result notification processes. A controlled before-and-after study across three emergency departments will measure the impact of interventions (including the use of IT) developed to improve the safety and quality of test-result communication and management processes.Study 3 adopts a consumer-driven approach, including semistructured interviews, and the convening of consumer-reference groups and community forums. The qualitative data will identify mechanisms to enhance the role of consumers in test-management governance processes, and inform the direction of the research and the interpretation of findings. ETHICS AND DISSEMINATION: Ethical approval has been granted by the South Eastern Sydney Local Health District Human Research Ethics Committee and Macquarie University. Findings will be disseminated in academic, industry and consumer journals, newsletters and conferences. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.Entities:
Keywords: information technology; patient safety; quality in healthcare
Mesh:
Year: 2018 PMID: 29449297 PMCID: PMC5829886 DOI: 10.1136/bmjopen-2017-020235
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
ED presentations for 2016 and provision of ICU services across study hospital sites in SES LHD and IS LHD
| SES LHD and SCHN | ED presentations 2016* | ICU | IS LHD | ED presentations 2016* | ICU |
| Prince of Wales Hospital | 54 443 | ✓ | Shellharbour Hospital | 29 479 | – |
| Royal Hospital for Women, Sydney | Not applicable | ✓† | Shoalhaven Hospital | 38 039 | ✓ |
| St George Hospital | 76 228 | ✓ | Wollongong Hospital | 61 348 | ✓ |
| Sutherland Hospital | 50 025 | ✓ | |||
| Sydney Children’s Hospital | 36 700 | ✓ | |||
| Total | 217 396 | 128 899 |
*Calculated using quarterly data of presentations to EDs (January–December 2016) via Bureau of Health Information interactive data portal Healthcare Observer.47
†Acute care service.
ED, emergency department; ICU, intensive care unit; IS, Illawarra Shoalhaven; LHD, Local Health District; SCHN, Sydney Children’s Hospital Network; SES, South Eastern Sydney.
Figure 1Data extraction and linkage outline. DRG, Diagnosis-related group; ED, emergency department; ICD, International Statistical Classification of Diseases and Related Health Problems; SNOMED, Systematized Nomenclature of Medicine.
Power calculation for study to measure acknowledgement rate for critical test result
| Acknowledgement rate | |
| Before | 45.0% |
| Percentage change | +20.0% |
| After | 54.0% |
| Number of critical tests to be reviewed per study period for each arm at each site (n) | 700 |
| Number of critical tests to be reviewed at each site (2n) | 1400 |
| Number of critical tests to be reviewed at three ED sites during the study period | 4200 |
ED, emergency department.