Planning and implementing practice changes in Ontario maternal-newborn hospital units: a secondary qualitative analysis.
Implementation practice
Implementation science
Maternal-newborn care
Practice changes
Qualitative secondary analysis
Journal
BMC pregnancy and childbirth
ISSN: 1471-2393
Titre abrégé: BMC Pregnancy Childbirth
Pays: England
ID NLM: 100967799
Informations de publication
Date de publication:
17 Oct 2023
17 Oct 2023
Historique:
received:
27
07
2023
accepted:
03
10
2023
medline:
23
10
2023
pubmed:
18
10
2023
entrez:
17
10
2023
Statut:
epublish
Résumé
Moving evidence into practice is complex, and pregnant and birthing people and their infants do not always receive care that aligns with the best available evidence. Implementation science can inform how to effectively move evidence into practice. While there are a growing number of examples of implementation science being studied in maternal-newborn care settings, it remains unknown how real-world teams of healthcare providers and leaders approach the overall implementation process when making practice changes. The purpose of this study was to describe maternal-newborn hospital teams' approaches to implementing practice changes. We aimed to identify what implementation steps teams take (or not) and identify strengths and potential areas for improvement based on best practices in implementation science. We conducted a supplementary qualitative secondary analysis of 22 interviews completed in 2014-2015 with maternal-newborn nursing leaders in Ontario, Canada. We used directed content analysis to code the data to seven steps in an implementation framework (Implementation Roadmap): identify the problem and potential best practice; assemble local evidence; select and customize best practice; discover barriers and drivers; tailor implementation strategies; field-test, plan evaluation, prepare to launch; launch, evaluate, and sustain. Frequency counts are presented for each step. Participants reported completing a median of 4.5 of 7 Implementation Roadmap steps (range = 3-7), with the most common being identifying a practice problem. Other steps were described less frequently (e.g., selecting and adapting evidence, field-testing, outcome evaluation) or discussed frequently but not optimally (e.g., barriers assessment). Participants provided examples of how they engaged point-of-care staff throughout the implementation process, but provided fewer examples of engaging pregnant and birthing people and their families. Some participants stated they used a formal framework or process to guide their implementation process, with the most common being quality improvement approaches and tools. We identified variability across the 22 hospitals in the implementation steps taken. While we observed many strengths, we also identified areas where further support may be needed. Future work is needed to create opportunities and resources to support maternal-newborn healthcare providers and leaders to apply principles and tools from implementation science to their practice change initiatives.
Sections du résumé
BACKGROUND
BACKGROUND
Moving evidence into practice is complex, and pregnant and birthing people and their infants do not always receive care that aligns with the best available evidence. Implementation science can inform how to effectively move evidence into practice. While there are a growing number of examples of implementation science being studied in maternal-newborn care settings, it remains unknown how real-world teams of healthcare providers and leaders approach the overall implementation process when making practice changes. The purpose of this study was to describe maternal-newborn hospital teams' approaches to implementing practice changes. We aimed to identify what implementation steps teams take (or not) and identify strengths and potential areas for improvement based on best practices in implementation science.
METHODS
METHODS
We conducted a supplementary qualitative secondary analysis of 22 interviews completed in 2014-2015 with maternal-newborn nursing leaders in Ontario, Canada. We used directed content analysis to code the data to seven steps in an implementation framework (Implementation Roadmap): identify the problem and potential best practice; assemble local evidence; select and customize best practice; discover barriers and drivers; tailor implementation strategies; field-test, plan evaluation, prepare to launch; launch, evaluate, and sustain. Frequency counts are presented for each step.
RESULTS
RESULTS
Participants reported completing a median of 4.5 of 7 Implementation Roadmap steps (range = 3-7), with the most common being identifying a practice problem. Other steps were described less frequently (e.g., selecting and adapting evidence, field-testing, outcome evaluation) or discussed frequently but not optimally (e.g., barriers assessment). Participants provided examples of how they engaged point-of-care staff throughout the implementation process, but provided fewer examples of engaging pregnant and birthing people and their families. Some participants stated they used a formal framework or process to guide their implementation process, with the most common being quality improvement approaches and tools.
CONCLUSIONS
CONCLUSIONS
We identified variability across the 22 hospitals in the implementation steps taken. While we observed many strengths, we also identified areas where further support may be needed. Future work is needed to create opportunities and resources to support maternal-newborn healthcare providers and leaders to apply principles and tools from implementation science to their practice change initiatives.
Identifiants
pubmed: 37848826
doi: 10.1186/s12884-023-06042-1
pii: 10.1186/s12884-023-06042-1
pmc: PMC10583424
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
735Subventions
Organisme : CIHR
ID : Vanier Canada Graduate Scholarship
Pays : Canada
Organisme : CIHR
ID : 133576
Pays : Canada
Organisme : CIHR
ID : 143237
Pays : Canada
Informations de copyright
© 2023. BioMed Central Ltd., part of Springer Nature.
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