Strength-based approaches: a realist evaluation of implementation in maternity services in Scotland

Cross, Beth; Cheyne, Helen

doi:10.1007/s10389-017-0882-4

Cited by 9 publications

(12 citation statements)

References 18 publications

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“…Collectively, these findings demonstrate the challenges of implementation science in maternity care within nations that are less than affluent. To manage sociocultural barriers, it can be helpful to adapt an intervention to a given context [113,140,159,161]-this might Mixed-methods 27 Case study 12 [139][140][141][142][143][144][145][146][147][148][149][150] Pre-post study 8 [151][152][153][154][155][156][157][158] Ethnography 6 [159][160][161][162][163][164] Cohort study 4 [165][166][167][168] Pilot-test 8 [169][170][171][172][173][174][175][176] Longitudinal survey 2 [177,178] Quasi-experimental 1 [179] Randomised controlled trial 2 [180,…”

Section: Theories Models and Framework: Absentmentioning

confidence: 99%

Implementation science in maternity care: a scoping review

Piper

Coates

2021

Implementation Sci

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Background Despite wide recognition that clinical care should be informed by the best available evidence, this does not always occur. Despite a myriad of theories, models and frameworks to promote evidence-based population health, there is still a long way to go, particularly in maternity care. The aim of this study is to appraise the scientific study of methods to promote the systematic uptake of evidence-based interventions in maternity care. This is achieved by clarifying if and how implementation science theories, models, and frameworks are used. Methods To map relevant literature, a scoping review was conducted of articles published between January 2005 and December 2019, guided by Peters and colleagues’ (2015) approach. Specifically, the following academic databases were systematically searched to identify publications that presented findings on implementation science or the implementation process (rather than just the intervention effect): Business Source Complete; CINAHL Plus with Full Text; Health Business Elite; Health Source: Nursing/Academic Edition; Medline; PsycARTICLES; PsycINFO; and PubMed. Information about each study was extracted using a purposely designed data extraction form. Results Of the 1181 publications identified, 158 were included in this review. Most of these reported on factors that enabled implementation, including knowledge, training, service provider motivation, effective multilevel coordination, leadership and effective communication—yet there was limited expressed use of a theory, model or framework to guide implementation. Of the 158 publications, 144 solely reported on factors that helped and/or hindered implementation, while only 14 reported the use of a theory, model and/or framework. When a theory, model or framework was used, it typically guided data analysis or, to a lesser extent, the development of data collection tools—rather than for instance, the design of the study. Conclusion Given that models and frameworks can help to describe phenomenon, and theories can help to both describe and explain it, evidence-based maternity care might be promoted via the greater expressed use of these to ultimately inform implementation science. Specifically, advancing evidence-based maternity care, worldwide, will require the academic community to make greater explicit and judicious use of theories, models, and frameworks. Registration Registered with the Joanna Briggs Institute (registration number not provided).

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Section: Theories Models and Framework: Absentmentioning

confidence: 99%

Implementation science in maternity care: a scoping review

Piper

Coates

2021

Implementation Sci

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“…The source and evidence base of QCP-M is important to nurses and midwives working in diverse clinical settings. These factors, in addition to the degree of complexity of QCP-M and their adaptability to a local context, influence how nurses and midwives interact with, trial, and use them and can lead to successful implementation and use of the QCP-M [32][33][34][35][36][37].…”

Section: Theory Refinementmentioning

confidence: 99%

“…The scientific evidence base of QCP-M [33,34,36,37] and their source [36,37] is considered important by nurses and midwives and influences their attitudes to their use. QCP-M that are uncomplicated and adaptable to trial and use in local contexts facilitate successful program implementation and outcomes [32,[34][35][36].…”

Section: Theory Refinementmentioning

confidence: 99%

“…Clinical sites that are outward-facing and well-networked are adept at introducing and implementing external strategies (including policy, regulation, guidelines, and QCP-M) and using available resources to spread the intervention. Nurses and midwives in these sites engage with provided resources (such as champions and materials), resulting in an increased chance of intervention success [33,36,[38][39][40].…”

Section: Theory Refinementmentioning

confidence: 99%

“…External collaboration with networks regionally and locally [36] reduces the possibility of variance in the implementation of strategies such as QCP-M [33], increasing the likelihood of an evidence-based approach [33] in a standardized way [38]. Where interventions are supported at a national level [38] by an implementation framework [40] and organizations are externally facing, then there is a more standardized approach to implementation [33], leading to successful adoption of the intervention.…”

Section: Theory Refinementmentioning

confidence: 99%

See 2 more Smart Citations

A Rapid Realist Review of Quality Care Process Metrics Implementation in Nursing and Midwifery Practice

Teeling

Davies

Barnard

et al. 2021

IJERPH

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Quality measurement initiatives promote quality improvement in healthcare but can be challenging to implement effectively. This paper presents a Rapid Realist Review (RRR) of published literature on Quality Care-Process Metrics (QCP-M) implementation in nursing and midwifery practice. An RRR informed by RAMESES II standards was conducted as an efficient means to synthesize evidence using an expert panel. The review involved research question development, quality appraisal, data extraction, and evidence synthesis. Six program theories summarised below identify the key characteristics that promote positive outcomes in QCP-M implementation. Program Theory 1: Focuses on the evidence base and accessibility of the QCP-M and their ease of use by nurses and midwives working in busy and complex care environments. Program Theory 2: Examines the influence of external factors on QCP-M implementation. Program Theory 3: Relates to existing cultures and systems within clinical sites. Program Theory 4: Relates to nurses’ and midwives’ knowledge and beliefs. Program Theory 5: Builds on the staff theme of Programme Theory four, extending the culture of organizational learning, and highlights the meaningful engagement of nurses and midwives in the implementation process as a key characteristic of success. Program Theory 6: Relates to patient needs. The results provide nursing and midwifery policymakers and professionals with evidence-based program theory that can be translated into action-orientated strategies to help guide successful QCP-M implementation.

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Qualitative Comparative Analysis (QCA): A Classic Mixed Method Using Theory

Olsen

2022

Systematic Mixed-Methods Research for Social Scientists

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Strength-based approaches: a realist evaluation of implementation in maternity services in Scotland

Cited by 9 publications

References 18 publications

Implementation science in maternity care: a scoping review

Implementation science in maternity care: a scoping review

A Rapid Realist Review of Quality Care Process Metrics Implementation in Nursing and Midwifery Practice

Qualitative Comparative Analysis (QCA): A Classic Mixed Method Using Theory

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