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Professional advice for primary healthcare workers in Ethiopia: a social network analysis.
Sabot, Kate; Blanchet, Karl; Berhanu, Della; Spicer, Neil; Schellenberg, Joanna.
  • Sabot K; The Centre for Maternal, Adolescent, Reproductive and Child Health (MARCH), London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK. kate.sabot@lshtm.ac.uk.
  • Blanchet K; Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. kate.sabot@lshtm.ac.uk.
  • Berhanu D; Department of Global Health, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Spicer N; The Centre for Maternal, Adolescent, Reproductive and Child Health (MARCH), London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
  • Schellenberg J; Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
BMC Health Serv Res ; 20(1): 551, 2020 Jun 17.
Article en En | MEDLINE | ID: mdl-32552727
ABSTRACT

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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Atención Primaria de Salud / Personal de Salud / Análisis de Redes Sociales Tipo de estudio: Observational_studies / Prevalence_studies / Qualitative_research / Risk_factors_studies Límite: Female / Humans / Male / Newborn / Pregnancy País como asunto: Africa Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Atención Primaria de Salud / Personal de Salud / Análisis de Redes Sociales Tipo de estudio: Observational_studies / Prevalence_studies / Qualitative_research / Risk_factors_studies Límite: Female / Humans / Male / Newborn / Pregnancy País como asunto: Africa Idioma: En Año: 2020 Tipo del documento: Article