ArticlePloS one2023
Service user and stakeholder engagement in maternal and newborn health research in low- and middle-income countries: A systematic review protocol.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Pooled it
- Using an experience-based co-design approach to develop strategies for implementing an intravenous iron intervention to treat moderate and severe anemia in pregnancy in Malawi.Implementation science communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundService user and stakeholder engagement have been widely considered as key aspects in translating knowledge into realistic policies and practices. However, there is a paucity of accumulative evidence about service user and stakeholder engagements in maternal and newborn health (MNH) research in low- and middle-income countries (LMICs). Therefore, we aim to systematically review the existing literature that includes service user and stakeholder engagement in maternal and newborn health research in low- and middle-income countries. MATERIALS AND
methodsThe design of this protocol is guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA-P) checklist. We will systematically run the search in PubMed/MEDLINE, PsycINFO, Scopus, Science Direct, and CINAHL to obtain relevant peer-reviewed literature published between January 1990 and March 2023. The list of extracted references will be screened by applying the study inclusion criteria, and eligible studies will be processed for further evaluation before being included in the review. The quality of the selected study will be assessed using the critical appraisal skills program (CASP) checklists and the Mixed Method Appraisal Tool (MMAT) checklist. A narrative synthesis will be used to synthesised results from all the included studies. DISCUSSION AND
conclusionTo the best of our knowledge, this systematic review will be the first synthesised evidence on service user and stakeholder engagement in maternal and newborn health research in low- and middle-income countries. The study highlights the importance of service user and stakeholder roles in designing, implementing, and evaluating maternal and newborn health interventions in resource-poor settings. The evidence from this review is expected to be useful for national and international researchers/stakeholders for practising meaningful and effective ways of engaging users and stakeholders in maternal and newborn health research and related activities. The PROSPERO registration number is CRD42022314613.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.