Strengthening capacity in hospitals to reduce perinatal morbidity and mortality through a codesigned intervention package: protocol for a realist evaluation as part of a stepped-wedge trial of the Action Leveraging Evidence to Reduce perinatal morTality and morbidity (ALERT) in sub-Saharan Africa project.
Clinical governance
EDUCATION & TRAINING (see Medical Education & Training)
OBSTETRICS
PERINATOLOGY
Quality in health care
Journal
BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874
Informations de publication
Date de publication:
19 04 2022
19 04 2022
Historique:
entrez:
20
4
2022
pubmed:
21
4
2022
medline:
22
4
2022
Statut:
epublish
Résumé
Despite a strong evidence base for developing interventions to reduce child mortality and morbidity related to pregnancy and delivery, major knowledge-implementation gaps remain. The Action Leveraging Evidence to Reduce perinatal morTality and morbidity (ALERT) in sub-Saharan Africa project aims to overcome these gaps through strengthening the capacity of multidisciplinary teams that provide maternity care. The intervention includes competency-based midwife training, community engagement for study design, mentoring and quality improvement cycles. The realist process evaluation of ALERT aims at identifying and testing the causal pathway through which the intervention achieves its impact. This realist process evaluation complements the effectiveness evaluation and the economic evaluation of the ALERT intervention. Following the realist evaluation cycle, we will first elicit the initial programme theory on the basis of the ALERT theory of change, a review of the evidence on adoption and diffusion of innovations and the perspectives of the stakeholders. Second, we will use a multiple embedded case study design to empirically test the initial programme theory in two hospitals in each of the four intervention countries. Qualitative and quantitative data will be collected, using in-depth interviews with hospital staff and mothers, observations, patient exit interviews and (hospital) document reviews. Analysis will be guided by the Intervention-Actors-Context-Mechanism-Outcome configuration heuristic. We will use thematic coding to analyse the qualitative data. The quantitative data will be analysed descriptively and integrated in the analysis using a retroductive approach. Each case study will end with a refined programme theory (in-case analysis). Third, we will carry out a cross-case comparison within and between the four countries. Comparison between study countries should enable identifying relevant context factors that influence effectiveness and implementation, leading to a mid-range theory that may inform the scaling up the intervention. In developing this protocol, we paid specific attention to cultural sensitivity, the PACTR202006793783148.
Identifiants
pubmed: 35440457
pii: bmjopen-2021-057414
doi: 10.1136/bmjopen-2021-057414
pmc: PMC9020280
doi:
Types de publication
Clinical Trial Protocol
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e057414Investigateurs
Ahossi Angèle Florence Laure
(AAF)
Andrea B Pembe
(AB)
Ann-Beth Nygaard Moller
(AN)
Antoinette Sognonvi
(A)
Armelle Vigan
(A)
Banougnin Bolade Hamed
(BB)
Beatrice Mwilike
(B)
Kéfilath Bello
(K)
Bianca Kandeya
(B)
Christelle Boyi Metogni
(CB)
Bruno Marchal
(B)
Claudia Hanson
(C)
Dickson Mkoka
(D)
Effie Chipeta
(E)
Elizabeth Ombeva Ayebare
(EO)
Fadhlun M Alwy Al-Beity
(FMA)
Gertrude Namazzi
(G)
Gisele Houngbo
(G)
Gottfried Agballa
(G)
Hashim Hounkpatin
(H)
Helga Naburi
(H)
Helle Mölsted Alvesson
(HM)
Hussein L Kidanto
(HL)
Jean-Paul Dossou
(JP)
Joanne Welsh
(J)
Joseph Akuze
(J)
Josephine Babirye
(J)
Kristi Sidney Annerstedt
(KS)
Lenka Benova
(L)
Lilian Mselle
(L)
Mechthild Gross
(M)
Muzdalifat Abeid
(M)
Nicola Orsini
(N)
Peter Waiswa
(P)
Philip Wanduru
(P)
Razak Mussa
(R)
Regine Unkels
(R)
Rian Snijders
(R)
Samuel Meja
(S)
Schadrac Agbla
(S)
Therese Delvaux
(T)
Tumbwene Mwansisya
(T)
Virginia Castellano Pleguezuelo
(VC)
William Stones
(W)
Wim Van Damme
(WV)
Yesaya Z Nyirenda
(YZ)
Zamoyoni Julius
(Z)
Informations de copyright
© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
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