Are Clinicians Using Routinely Collected Data to Drive Practice Improvement? A Cross Sectional Survey.

Publisher:
Oxford University Press (OUP)
Publication Type:
Journal Article
Citation:
International journal for quality in health care : journal of the International Society for Quality in Health Care, 2021
Issue Date:
2021-10-06
Full metadata record

Background

Clinical 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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