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DELTAS Africa Learning Research Programme: Learning Report No.3 (Apr 2018 – Mar 2019)

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dc.contributor.author Pulford, Justin
dc.contributor.author Abomo, Pierre
dc.contributor.author Liani, Millicent
dc.contributor.author Murunga, Violet
dc.contributor.author Tagoe, Nadia
dc.contributor.author Kinyanjui, Samson
dc.contributor.author Molyneux, Sassy
dc.contributor.author Nyamongo, Isaac
dc.contributor.author Oronje, Rose
dc.contributor.author Tolhurst, Rachel
dc.contributor.author Bates, Imelda
dc.date.accessioned 2022-02-23T08:11:32Z
dc.date.available 2022-02-23T08:11:32Z
dc.date.issued 2019
dc.identifier.citation Pulford, J., Abomo, P., Liani, M., Murunga, V., Tagoe, N., Kinyanjui, S., ... & Bates, I. (2019). DELTAS Africa Learning Research Programme: Learning Report No. 3 (Apr 2018–Mar 2019). en_US
dc.identifier.uri https://www.lstmed.ac.uk/sites/default/files/content/projects/files/DELTAS%20LRP%20Learning%20Report%20No%203.pdf
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/539
dc.description A technical report en_US
dc.description.abstract Background Development partners and research councils are increasingly investing in RCS initiatives in LMICs. There are few reported evaluations of RCS initiatives and no agreed evaluation metrics despite the large sums of public money invested. This paper aims to advance progress towards the establishment of a standardised set of outcome and impact indicators for use across RCS initiatives in LMIC contexts. Method A review of RCS indicators described in the published and grey literatures was undertaken. A systematic search in PubMed, Global Health, CINAHL Complete, IBSS, Google Advanced, BASE, Grey Literature and OpenGrey was completed along with a manual search for papers using reference checking and citation searching. RCS indicator descriptions were extracted from each publication/report, recorded in an Excel spreadsheet and sorted according to type (output, outcome or impact). All outcome and impact indicators were quality appraised and thematically analysed. Results We identified a total of 668 RCS indicators from across 32 publications/reports. Of these, 40% (265/668) were output indicators, 59.5% (400/668) outcome indicators and 0.5% (3/668) impact indicators. Thirty-four percent (225/668) measured individual research capacity, 38% (265/668) institutional research capacity and 21% (178/668) systemic research capacity. The 400 outcome indicators were coded into nine thematic categories, the most common of which were ‘research management and support’ (n=97), ‘skills/knowledge’ (n=62) and ‘collaboration activities’ (n=53). The three impact indicators were all systemic-level indicators and were all coded to a ‘health and wellbeing’ theme. Only 1% (6/403) of outcome and impact indicators met all four quality criteria. Conclusion Numerous RCS outcome indicators are present in the public and grey literature, although across a relatively limited range suggesting common interest in key focal areas. Very few impact indicators have been described and the quality of commonly described indicators, both outcome and impact, is poor. en_US
dc.language.iso en en_US
dc.publisher DELTAS Africa Learning Research Programme en_US
dc.relation.ispartofseries DELTAS Africa Learning Research Programme;Learning Report No.3
dc.subject DELTAS Learning Research Programme (LRP) en_US
dc.subject Equitable career pathways en_US
dc.subject Gender equitable career advancement en_US
dc.subject Knowledge translation capacity en_US
dc.subject Programme management en_US
dc.title DELTAS Africa Learning Research Programme: Learning Report No.3 (Apr 2018 – Mar 2019) en_US
dc.type Article en_US

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