A mixed methods evaluation of the maternal-newborn dashboard in Ontario: dashboard attributes, contextual factors, and facilitators and barriers to use: a study protocol. (December 2015)
- Record Type:
- Journal Article
- Title:
- A mixed methods evaluation of the maternal-newborn dashboard in Ontario: dashboard attributes, contextual factors, and facilitators and barriers to use: a study protocol. (December 2015)
- Main Title:
- A mixed methods evaluation of the maternal-newborn dashboard in Ontario: dashboard attributes, contextual factors, and facilitators and barriers to use: a study protocol
- Authors:
- Dunn, Sandra
Sprague, Ann
Grimshaw, Jeremy
Graham, Ian
Taljaard, Monica
Fell, Deshayne
Peterson, Wendy
Darling, Elizabeth
Harrold, JoAnn
Smith, Graeme
Reszel, Jessica
Lanes, Andrea
Truskoski, Carolyn
Wilding, Jodi
Weiss, Deborah
Walker, Mark - Abstract:
- Abstract Background There are wide variations in maternal-newborn care practices and outcomes across Ontario. To help institutions and care providers learn about their own performance, the Better Outcomes Registry & Network (BORN) Ontario has implemented an audit and feedback system, the Maternal-Newborn Dashboard (MND), for all hospitals providing maternal-newborn care. The dashboard provides (1) near real-time feedback, with site-specific and peer comparison data about six key performance indicators; (2) a visual display of evidence-practice gaps related to the indicators; and (3) benchmarks to provide direction for practice change. This study aims to evaluate the effects of the dashboard, dashboard attributes, contextual factors, and facilitation/support needs that influence the use of this audit and feedback system to improve performance. The objectives of this study are to (1) evaluate the effect of implementing the dashboard across Ontario; (2) explore factors that potentially explain differences in the use of the MND among hospitals; (3) measure factors potentially associated with differential effectiveness of the MND; and (4) identify factors that predict differences in hospital performance. Methods/design A mixed methods design includes (1) an interrupted time series analysis to evaluate the effect of the intervention on six indicators, (2) key informant interviews with a purposeful sample of directors/managers from up to 20 maternal-newborn care hospitals toAbstract Background There are wide variations in maternal-newborn care practices and outcomes across Ontario. To help institutions and care providers learn about their own performance, the Better Outcomes Registry & Network (BORN) Ontario has implemented an audit and feedback system, the Maternal-Newborn Dashboard (MND), for all hospitals providing maternal-newborn care. The dashboard provides (1) near real-time feedback, with site-specific and peer comparison data about six key performance indicators; (2) a visual display of evidence-practice gaps related to the indicators; and (3) benchmarks to provide direction for practice change. This study aims to evaluate the effects of the dashboard, dashboard attributes, contextual factors, and facilitation/support needs that influence the use of this audit and feedback system to improve performance. The objectives of this study are to (1) evaluate the effect of implementing the dashboard across Ontario; (2) explore factors that potentially explain differences in the use of the MND among hospitals; (3) measure factors potentially associated with differential effectiveness of the MND; and (4) identify factors that predict differences in hospital performance. Methods/design A mixed methods design includes (1) an interrupted time series analysis to evaluate the effect of the intervention on six indicators, (2) key informant interviews with a purposeful sample of directors/managers from up to 20 maternal-newborn care hospitals to explore factors that influence the use of the dashboard, (3) a provincial survey of obstetrical directors/managers from all maternal-newborn hospitals in the province to measure factors that influence the use of the dashboard, and (4) a multivariable generalized linear mixed effects regression analysis of the indicators at each hospital to quantitatively evaluate the change in practice following implementation of the dashboard and to identify factors most predictive of use. Discussion Study results will provide essential data to develop knowledge translation strategies for facilitating practice change, which can be further evaluated through a future cluster randomized trial. … (more)
- Is Part Of:
- Implementation science. Volume 11:Number 1(2016)
- Journal:
- Implementation science
- Issue:
- Volume 11:Number 1(2016)
- Issue Display:
- Volume 11, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 11
- Issue:
- 1
- Issue Sort Value:
- 2016-0011-0001-0000
- Page Start:
- 1
- Page End:
- 11
- Publication Date:
- 2015-12
- Subjects:
- Audit and feedback -- Dashboard -- Maternal-newborn care -- Knowledge translation -- Maternal health services -- Health-care quality assurance -- Benchmarking -- Mixed methods
Medical care -- Periodicals
Medical care -- Research -- Periodicals
Health services administration -- Periodicals
Evidence-based medicine -- Periodicals
362.1072 - Journal URLs:
- http://pubmedcentral.com/tocrender.fcgi?journal=400&action=archive ↗
http://www.implementationscience.com/ ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s13012-016-0427-1 ↗
- Languages:
- English
- ISSNs:
- 1748-5908
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 12830.xml