Improved care and survival in severe malnutrition through eLearning
Authors: Choi, S., Yuen, H.M., Annan, R., Monroy-Valle, M., Pickup, T., Aduku, N.E.L., Pulman, A., Portillo Sermeño, C.E., Jackson, A.A. and Ashworth, A.
Journal: Archives of Disease in Childhood
Volume: 105
Issue: 1
Pages: 32-39
eISSN: 1468-2044
ISSN: 0003-9888
DOI: 10.1136/archdischild-2018-316539
Abstract:Background Scaling up improved management of severe acute malnutrition (SAM) has been identified as the nutrition intervention with the greatest potential to reduce child mortality but it requires improved operational capacity. Objective To investigate whether an eLearning course, which can be used at scale in resource-poor countries, leads to improved diagnosis, clinical management and survival of children with SAM. Design A 2-year preintervention and postintervention study between January 2015 and February 2017. Setting Eleven healthcare facilities: nine in Ghana, one in Guatemala, and one in El Salvador. Intervention Scenario-based eLearning course 'Caring for infants and young children with severe malnutrition'. Main outcome measures Identification of children with SAM, quality of care, case-fatality rate. Methods Medical record reviews of children aged 0-60 months attending eleven hospitals between August 2014 and July 2016, observations in paediatric wards, and interviews with senior hospital personnel. Results Postintervention there was a significant improvement in the identification of SAM: more children had the requisite anthropometric data (34.9% (1300/3723) vs 15.9% (629/3953)) and more were correctly diagnosed (58.5% (460/786) vs 47.1% (209/444)). Improvements were observed in almost all aspects of the WHO 'Ten Steps' of case-management, and case-fatality fell from 5.8% (26/449) to 1.9% (14/745) (Post-pre difference=-3.9%, 95% CI -6.6 to -1.7, p<0.001). Conclusions High quality, interactive eLearning can be an effective intervention in scaling up capacity building of health professionals to manage SAM effectively, leading to a reduction in mortality.
https://eprints.bournemouth.ac.uk/32610/
Source: Scopus
Improved care and survival in severe malnutrition through eLearning.
Authors: Choi, S., Yuen, H.M., Annan, R., Monroy-Valle, M., Pickup, T., Aduku, N.E.L., Pulman, A., Portillo Sermeño, C.E., Jackson, A.A. and Ashworth, A.
Journal: Arch Dis Child
Volume: 105
Issue: 1
Pages: 32-39
eISSN: 1468-2044
DOI: 10.1136/archdischild-2018-316539
Abstract:BACKGROUND: Scaling up improved management of severe acute malnutrition (SAM) has been identified as the nutrition intervention with the greatest potential to reduce child mortality but it requires improved operational capacity. OBJECTIVE: To investigate whether an eLearning course, which can be used at scale in resource-poor countries, leads to improved diagnosis, clinical management and survival of children with SAM. DESIGN: A 2-year preintervention and postintervention study between January 2015 and February 2017. SETTING: Eleven healthcare facilities: nine in Ghana, one in Guatemala, and one in El Salvador. INTERVENTION: Scenario-based eLearning course 'Caring for infants and young children with severe malnutrition'. MAIN OUTCOME MEASURES: Identification of children with SAM, quality of care, case-fatality rate. METHODS: Medical record reviews of children aged 0-60 months attending eleven hospitals between August 2014 and July 2016, observations in paediatric wards, and interviews with senior hospital personnel. RESULTS: Postintervention there was a significant improvement in the identification of SAM: more children had the requisite anthropometric data (34.9% (1300/3723) vs 15.9% (629/3953)) and more were correctly diagnosed (58.5% (460/786) vs 47.1% (209/444)). Improvements were observed in almost all aspects of the WHO 'Ten Steps' of case-management, and case-fatality fell from 5.8% (26/449) to 1.9% (14/745) (Post-pre difference=-3.9%, 95% CI -6.6 to -1.7, p<0.001). CONCLUSIONS: High quality, interactive eLearning can be an effective intervention in scaling up capacity building of health professionals to manage SAM effectively, leading to a reduction in mortality.
https://eprints.bournemouth.ac.uk/32610/
Source: PubMed
Improved care and survival in severe malnutrition through eLearning
Authors: Choi, S., Yuen, H.M., Annan, R., Monroy-Valle, M., Pickup, T., Aduku, N.E.L., Pulman, A., Sermeno, C.E.P., Jackson, A.A. and Ashworth, A.
Journal: ARCHIVES OF DISEASE IN CHILDHOOD
Volume: 105
Issue: 1
Pages: 32-39
eISSN: 1468-2044
ISSN: 0003-9888
DOI: 10.1136/archdischild-2018-316539
https://eprints.bournemouth.ac.uk/32610/
Source: Web of Science (Lite)
Improved care and survival in severe malnutrition through eLearning.
Authors: Choi, S., Yuen, H.M., Annan, R., Monroy-Valle, M., Pickup, T., Aduku, N.E.L., Pulman, A., Portillo Sermeño, C.E., Jackson, A.A. and Ashworth, A.
Journal: Archives of disease in childhood
Volume: 105
Issue: 1
Pages: 32-39
eISSN: 1468-2044
ISSN: 0003-9888
DOI: 10.1136/archdischild-2018-316539
Abstract:Background
Scaling up improved management of severe acute malnutrition (SAM) has been identified as the nutrition intervention with the greatest potential to reduce child mortality but it requires improved operational capacity.Objective
To investigate whether an eLearning course, which can be used at scale in resource-poor countries, leads to improved diagnosis, clinical management and survival of children with SAM.Design
A 2-year preintervention and postintervention study between January 2015 and February 2017.Setting
Eleven healthcare facilities: nine in Ghana, one in Guatemala, and one in El Salvador.Intervention
Scenario-based eLearning course 'Caring for infants and young children with severe malnutrition'.Main outcome measures
Identification of children with SAM, quality of care, case-fatality rate.Methods
Medical record reviews of children aged 0-60 months attending eleven hospitals between August 2014 and July 2016, observations in paediatric wards, and interviews with senior hospital personnel.Results
Postintervention there was a significant improvement in the identification of SAM: more children had the requisite anthropometric data (34.9% (1300/3723) vs 15.9% (629/3953)) and more were correctly diagnosed (58.5% (460/786) vs 47.1% (209/444)). Improvements were observed in almost all aspects of the WHO 'Ten Steps' of case-management, and case-fatality fell from 5.8% (26/449) to 1.9% (14/745) (Post-pre difference=-3.9%, 95% CI -6.6 to -1.7, p<0.001).Conclusions
High quality, interactive eLearning can be an effective intervention in scaling up capacity building of health professionals to manage SAM effectively, leading to a reduction in mortality.https://eprints.bournemouth.ac.uk/32610/
Source: Europe PubMed Central
Improved care and survival in severe malnutrition through eLearning.
Authors: Choi, S., Yuen, H.M., Annan, R., Monroy-Valle, M., Pickup, T., Aduku, N.E.L., Pulman, A., Portillo Sermeño, C.E., Jackson, A.A. and Ashworth, A.
Journal: Archives of Disease in Childhood
Volume: 105
Pages: 32-39
ISSN: 0003-9888
Abstract:BACKGROUND: Scaling up improved management of severe acute malnutrition (SAM) has been identified as the nutrition intervention with the greatest potential to reduce child mortality but it requires improved operational capacity. OBJECTIVE: To investigate whether an eLearning course, which can be used at scale in resource-poor countries, leads to improved diagnosis, clinical management and survival of children with SAM. DESIGN: A 2-year preintervention and postintervention study between January 2015 and February 2017. SETTING: Eleven healthcare facilities: nine in Ghana, one in Guatemala, and one in El Salvador. INTERVENTION: Scenario-based eLearning course 'Caring for infants and young children with severe malnutrition'. MAIN OUTCOME MEASURES: Identification of children with SAM, quality of care, case-fatality rate. METHODS: Medical record reviews of children aged 0-60 months attending eleven hospitals between August 2014 and July 2016, observations in paediatric wards, and interviews with senior hospital personnel. RESULTS: Postintervention there was a significant improvement in the identification of SAM: more children had the requisite anthropometric data (34.9% (1300/3723) vs 15.9% (629/3953)) and more were correctly diagnosed (58.5% (460/786) vs 47.1% (209/444)). Improvements were observed in almost all aspects of the WHO 'Ten Steps' of case-management, and case-fatality fell from 5.8% (26/449) to 1.9% (14/745) (Post-pre difference=-3.9%, 95% CI -6.6 to -1.7, p<0.001). CONCLUSIONS: High quality, interactive eLearning can be an effective intervention in scaling up capacity building of health professionals to manage SAM effectively, leading to a reduction in mortality.
https://eprints.bournemouth.ac.uk/32610/
Source: BURO EPrints