Evidence map›Paper›PMID 27142655›Full record

ArticleImplementation science : IS2016

A mixed methods evaluation of the maternal-newborn dashboard in Ontario: dashboard attributes, contextual factors, and facilitators and barriers to use: a study protocol.

Sandra Dunn, Ann E Sprague, Jeremy M Grimshaw, Ian D Graham, Monica Taljaard, Deshayne Fell, Wendy E Peterson, Elizabeth Darling, JoAnn Harrold, Graeme N Smith and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Implementation science : IS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Sandra DunnBetter Outcomes Registry & Network (BORN Ontario), Children's Hospital of Eastern Ontario (CHEO) Research Institute, 401 Smyth Road, Ottawa, ON, K1H 8 L1, Canada. sdunn@bornontario.ca.
Ann E SpragueBetter Outcomes Registry & Network (BORN Ontario), Children's Hospital of Eastern Ontario (CHEO) Research Institute, 401 Smyth Road, Ottawa, ON, K1H 8 L1, Canada.
Jeremy M GrimshawDepartment of Medicine, Ottawa Hospital Research Institute (OHRI), Clinical Epidemiology Program, University of Ottawa, 501 Smyth Road, Ottawa, ON, K1H 8 L6, Canada.
Ian D GrahamOttawa Hospital Research Institute (OHRI), School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, 501 Smyth Road, Ottawa, ON, K1H 8 L6, Canada.
Monica TaljaardOttawa Hospital Research Institute (OHRI), School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, 1053 Carling Avenue, Ottawa, ON, K1Y 4E9, Canada.
Deshayne FellBetter Outcomes Registry & Network (BORN Ontario), 401 Smyth Road, Ottawa, ON, K1H 8 L1, Canada.
Wendy E PetersonSchool of Nursing, University of Ottawa, 451 Smyth Road, Ottawa, ON, K1H 8 M5, Canada.
Elizabeth DarlingLaurentian University, 935 Ramsey Lake Road, Sudbury, ON, P3E 2C6, Canada.
JoAnn HarroldChildren's Hospital of Eastern Ontario (CHEO), 401 Smyth Road, Ottawa, ON, K1H 8 L1, Canada.
Graeme N SmithKingston General Hospital, 76 Stuart Street, Kingston, ON, K7L 2 V7, Canada.
Jessica ReszelBetter Outcomes Registry & Network (BORN Ontario), Children's Hospital of Eastern Ontario (CHEO) Research Institute, 401 Smyth Road, Ottawa, ON, K1H 8 L1, Canada.
Andrea LanesBetter Outcomes Registry & Network (BORN Ontario), 401 Smyth Road, Ottawa, ON, K1H 8 L1, Canada.
Carolyn TruskoskiBetter Outcomes Registry & Network (BORN Ontario), School of Nursing, University of Ottawa, 401 Smyth Road, Ottawa, ON, K1H 8 L1, Canada.
Jodi WildingBetter Outcomes Registry & Network (BORN Ontario), 401 Smyth Road, Ottawa, ON, K1H 8 L1, Canada.
Deborah WeissBetter Outcomes Registry & Network (BORN Ontario), 401 Smyth Road, Ottawa, ON, K1H 8 L1, Canada.
Mark WalkerOttawa Hospital Research Institute (OHRI), University of Ottawa, Better Outcomes Registry & Network (BORN Ontario), 501 Smyth Road, Ottawa, ON, K1H 8 L6, Canada.

Funding

Canadian Institutes of Health Research 133576
6 · The paper itself

Abstract

backgroundThere 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/

designA 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.

Indexed as

Health Services AccessibilityMaternal-Child Health ServicesOutcome Assessment, Health CareQuality of Health CareFemaleHumansInfant, NewbornMaleOntarioRegistriesResearch DesignAudit and feedbackBenchmarkingDashboardHealth-care quality assuranceKnowledge translationMaternal health servicesMaternal-newborn careMixed methods

Identifiers

PMID27142655
PMCPMC4855363

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.