Are Clinicians Using Routinely Collected Data to Drive Practice Improvement? A Cross Sectional Survey.
- Oxford University Press (OUP)
- Publication Type:
- Journal Article
- International journal for quality in health care : journal of the International Society for Quality in Health Care, 2021
- Issue Date:
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BackgroundClinical registry participation is a measure of healthcare quality. Limited knowledge exists on Australian hospitals participation in clinical registries and whether this registry data informs quality improvement initiatives. Hence, our study aimed to; identify participation in clinical registries; determine if registry data inform quality improvement initiatives; identify registry participation enablers; and clinicians' educational needs to improve use of registry data to drive practice change.
Methods: A self-administered survey was distributed to staff coordinating registries in seven hospitals in New South Wales, Australia. Eligible registries were international, national and state-based clinical, condition/disease-specific and device/product registries.
Results: Response rate was 70% (97/139). Sixty-two (64%) respondents contributed data to 46 eligible registries. Registry reports were most often received by nurses (61%) and infrequently by hospital executives (8.4%). Less than half used registry data 'always' or 'often' to influence practice improvement (48%) and care pathways (49%). Protected time for data collection (87%) and benchmarking (79%) were 'very likely' or 'likely' to promote continued participation. Over half 'strongly agreed' or 'agreed' that clinical practice improvement training (79%) and evidence-practice gap identification (77%) would optimise use of registry data.
Conclusions: Registry data are generally only visible to local speciality units and not routinely used to inform quality improvement. Centralised on-going registry funding, accessible and transparent integrated information systems, combined with data informed improvement science education could be first steps to promote quality data-driven clinical improvement initiatives.
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