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Professional advice for primary healthcare workers in Ethiopia: a social network analysis

BACKGROUND: In an era of increasingly competitive funding, governments and donors will be looking for creative ways to extend and maximise resources. One such means can include building upon professional advice networks to more efficiently introduce, scale up, or change programmes and healthcare pro...

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Autores principales: Sabot, Kate, Blanchet, Karl, Berhanu, Della, Spicer, Neil, Schellenberg, Joanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302001/
https://www.ncbi.nlm.nih.gov/pubmed/32552727
http://dx.doi.org/10.1186/s12913-020-05367-3
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author Sabot, Kate
Blanchet, Karl
Berhanu, Della
Spicer, Neil
Schellenberg, Joanna
author_facet Sabot, Kate
Blanchet, Karl
Berhanu, Della
Spicer, Neil
Schellenberg, Joanna
author_sort Sabot, Kate
collection PubMed
description BACKGROUND: In an era of increasingly competitive funding, governments and donors will be looking for creative ways to extend and maximise resources. One such means can include building upon professional advice networks to more efficiently introduce, scale up, or change programmes and healthcare provider practices. This cross-sectional, mixed-methods, observational study compared professional advice networks of healthcare workers in eight primary healthcare units across four regions of Ethiopia. Primary healthcare units include a health centre and typically five satellite health posts. METHODS: One hundred sixty staff at eight primary healthcare units were interviewed using a structured tool. Quantitative data captured the frequency of healthcare worker advice seeking and giving on providing antenatal, childbirth, postnatal and newborn care. Network and actor-level metrics were calculated including density (ratio of ties between actors to all possible ties), centrality (number of ties incident to an actor), distance (average number of steps between actors) and size (number of actors within the network). Following quantitative network analyses, 20 qualitative interviews were conducted with network study participants from four primary healthcare units. Qualitative interviews aimed to interpret and explain network properties observed. Data were entered, analysed or visualised using Excel 6.0, UCINET 6.0, Netdraw, Adobe InDesign and MaxQDA10 software packages. RESULTS: The following average network level metrics were observed: density .26 (SD.11), degree centrality .45 (SD.08), distance 1.94 (SD.26), number of ties 95.63 (SD 35.46), size of network 20.25 (SD 3.65). Advice networks for antenatal or maternity care were more utilised than advice networks for post-natal or newborn care. Advice networks were typically limited to primary healthcare unit staff, but not necessarily to supervisors. In seeking advice, a colleague’s level of training and knowledge were valued over experience. Advice exchange primarily took place in person or over the phone rather than over email or online fora. There were few barriers to seeking advice. CONCLUSION: Informal, inter-and intra-cadre advice networks existed. Fellow primary healthcare unit staff were preferred, particularly midwives, but networks were not limited to the primary healthcare unit. Additional research is needed to associate network properties with outcomes and pilot network interventions with central actors.
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spelling pubmed-73020012020-06-19 Professional advice for primary healthcare workers in Ethiopia: a social network analysis Sabot, Kate Blanchet, Karl Berhanu, Della Spicer, Neil Schellenberg, Joanna BMC Health Serv Res Research Article BACKGROUND: In an era of increasingly competitive funding, governments and donors will be looking for creative ways to extend and maximise resources. One such means can include building upon professional advice networks to more efficiently introduce, scale up, or change programmes and healthcare provider practices. This cross-sectional, mixed-methods, observational study compared professional advice networks of healthcare workers in eight primary healthcare units across four regions of Ethiopia. Primary healthcare units include a health centre and typically five satellite health posts. METHODS: One hundred sixty staff at eight primary healthcare units were interviewed using a structured tool. Quantitative data captured the frequency of healthcare worker advice seeking and giving on providing antenatal, childbirth, postnatal and newborn care. Network and actor-level metrics were calculated including density (ratio of ties between actors to all possible ties), centrality (number of ties incident to an actor), distance (average number of steps between actors) and size (number of actors within the network). Following quantitative network analyses, 20 qualitative interviews were conducted with network study participants from four primary healthcare units. Qualitative interviews aimed to interpret and explain network properties observed. Data were entered, analysed or visualised using Excel 6.0, UCINET 6.0, Netdraw, Adobe InDesign and MaxQDA10 software packages. RESULTS: The following average network level metrics were observed: density .26 (SD.11), degree centrality .45 (SD.08), distance 1.94 (SD.26), number of ties 95.63 (SD 35.46), size of network 20.25 (SD 3.65). Advice networks for antenatal or maternity care were more utilised than advice networks for post-natal or newborn care. Advice networks were typically limited to primary healthcare unit staff, but not necessarily to supervisors. In seeking advice, a colleague’s level of training and knowledge were valued over experience. Advice exchange primarily took place in person or over the phone rather than over email or online fora. There were few barriers to seeking advice. CONCLUSION: Informal, inter-and intra-cadre advice networks existed. Fellow primary healthcare unit staff were preferred, particularly midwives, but networks were not limited to the primary healthcare unit. Additional research is needed to associate network properties with outcomes and pilot network interventions with central actors. BioMed Central 2020-06-17 /pmc/articles/PMC7302001/ /pubmed/32552727 http://dx.doi.org/10.1186/s12913-020-05367-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Sabot, Kate
Blanchet, Karl
Berhanu, Della
Spicer, Neil
Schellenberg, Joanna
Professional advice for primary healthcare workers in Ethiopia: a social network analysis
title Professional advice for primary healthcare workers in Ethiopia: a social network analysis
title_full Professional advice for primary healthcare workers in Ethiopia: a social network analysis
title_fullStr Professional advice for primary healthcare workers in Ethiopia: a social network analysis
title_full_unstemmed Professional advice for primary healthcare workers in Ethiopia: a social network analysis
title_short Professional advice for primary healthcare workers in Ethiopia: a social network analysis
title_sort professional advice for primary healthcare workers in ethiopia: a social network analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302001/
https://www.ncbi.nlm.nih.gov/pubmed/32552727
http://dx.doi.org/10.1186/s12913-020-05367-3
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