Back

A Systematic Review and Meta Synthesis Protocol for Examining the Factors behind African Nurses & Midwives Migration

Osei, S. K. J.; Barfi, M. O.; Frimpong, S.; Bosro, D. D.; Fosu, C. A.; Owusu, D.; Amoako-Mensah, D. N.; Barimah, S. K.; Agbavor, J. E.; Delanyor, B. A.

2023-03-01 nursing
10.1101/2023.02.27.23286495 medRxiv
Show abstract

BackgroundThere has been an increased rise of African nurses and midwives migrating to high income countries despite varying policies and restrictions to promote retention. The need to comprehensively understand the factors influencing the exodus is critical for policy formulation at the global, national, and facility levels. AimTo provide a comprehensive and a systematic review of the factors influencing African nurses and midwives migration to high income countries and the factors influencing such migrations. MethodsA systematic review and meta-synthesis design guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement guidelines would be used. Databases including CINAHL, Pubmed, MEDLINE, and EbscoHost will be searched using a PICOS selection criteria framework. Two independent reviewers would be involved in data extraction and meta-synthesis. A third reviewer would provide an arbitrary judgement when disagreements persist after discussion. A meta-synthesis and thematic analysis would be utilised to identify emerging themes and reporting themes identified in the literature. Ethics and disseminationThe study does not require ethical approval. The findings would be published in peer-review journals and presented at conferences. PROSPERO registration number: CRD42023395013 Strengths and limitationsO_LIThe study would shed a comprehensive light on factors influencing the migration of African trained nurses outside the continent. This is relevant in informing policies that promote retention. C_LIO_LIThe review is conducted following the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement (PRISMA). The methodology is rigorous and meets the standards of the PRISMA guidelines. C_LIO_LIStudies published in any language other than English would be excluded. C_LIO_LIThe period restriction set could also limit the number of studies found for a comprehensive review. C_LI

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.