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Realist inquiry into Maternity care @ a Distance (ARM@DA): realist review protocol.
Evans, Catrin; Evans, Kerry; Booth, Andrew; Timmons, Stephen; Jones, Nia; Nazmeen, Benash; Sunney, Candice; Clowes, Mark; Clancy, Georgia; Spiby, Helen.
  • Evans C; School of Health Sciences, University of Nottingham, Nottingham, UK catrin.evans@nottingham.ac.uk.
  • Evans K; School of Health Sciences, University of Nottingham, Nottingham, UK.
  • Booth A; ScHARR, The University of Sheffield, Sheffield, UK.
  • Timmons S; Business School, University of Nottingham, Nottingham, UK.
  • Jones N; School of Medicine, University of Nottingham, Nottingham, UK.
  • Nazmeen B; School of Allied Health Professionals and Midwifery, University of Bradford, Bradford, UK.
  • Sunney C; Nottingham Maternity Research Network, Nottingham, UK.
  • Clowes M; ScHARR, The University of Sheffield, Sheffield, UK.
  • Clancy G; School of Health Sciences, University of Nottingham, Nottingham, UK.
  • Spiby H; School of Health Sciences, University of Nottingham, Nottingham, UK.
BMJ Open ; 12(9): e062106, 2022 09 20.
Article in English | MEDLINE | ID: covidwho-2038311
ABSTRACT

INTRODUCTION:

One of the most commonly reported COVID-19-related changes to all maternity services has been an increase in the use of digital clinical consultations such as telephone or video calling; however, the ways in which they can be optimally used along maternity care pathways remain unclear. It is imperative that digital service innovations do not further exacerbate (and, ideally, should tackle) existing inequalities in service access and clinical outcomes. Using a realist approach, this project aims to synthesise the evidence around implementation of digital clinical consultations, seeking to illuminate how they can work to support safe, personalised and appropriate maternity care and to clarify when they might be most appropriately used, for whom, when, and in what contexts? METHODS AND

ANALYSIS:

The review will be conducted in four iterative phases, with embedded stakeholder involvement (1) refining the review focus and generating initial programme theories, (2) exploring and developing the programme theories in light of evidence, (3) testing/refining the programme theories and (4) constructing actionable recommendations. The review will draw on four sources of evidence (1) published literature (searching nine bibliographic databases), (2) unpublished (grey) literature, including research, audit, evaluation and policy documents (derived from Google Scholar, website searches and e-thesis databases), (3) expertise contributed by service user and health professional stakeholder groups (n=20-35) and (4) key informant interviews (n=12). Included papers will consist of any study design, in English and from 2010 onwards. The review will follow the Realist and Meta-narrative Evidence Synthesis Evolving Standards quality procedures and reporting guidance. ETHICS AND DISSEMINATION Ethical approval has been obtained from the University of Nottingham, Faculty of Medicine and Health Sciences Ethics Committee (FMHS 426-1221). Informed consent will be obtained for all key informant interviews. Findings will be disseminated in a range of formats relevant to different audiences. PROSPERO REGISTRATION NUMBER CRD42021288702.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Maternal Health Services / Obstetrics Type of study: Experimental Studies / Prognostic study / Qualitative research / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Female / Humans / Pregnancy Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2022-062106

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Maternal Health Services / Obstetrics Type of study: Experimental Studies / Prognostic study / Qualitative research / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Female / Humans / Pregnancy Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2022-062106