Cecilie Jensen1, Neil H McKerrow2,3, Gabrielle Wills4. 1. Health Systems Strengthening Unit, Health Systems Trust , Durban, South Africa. 2. Paediatrics and Child Health, KwaZulu-Natal Department of Health, Pietermaritzburg, South Africa. 3. Department of Paediatrics and Child Health, Nelson R Mandela School of Medicine, University of KwaZulu-Natal , Durban, South Africa. 4. Research on Socio-Economic Policy, University of Stellenbosch , Cape Town, South Africa.
Abstract
Background: Despite progress in reducing child mortality, preventable child deaths remain a challenge in South Africa. Poor implementation of Integrated Management of Childhood Illness (IMCI) guidelines has been well described, and the reported barriers to implementation include a lack of user-friendly implementation tools. Aim: To investigate whether an electronic decision support tool to strengthen IMCI implementation is acceptable to nurses, clinic managers and caregivers at primary care facilities in KwaZulu-Natal, South Africa. Methods: The electronic IMCI (eIMCI) software was tested in 15 health facilities in uMgungundlovu district from May to July 2018. System use was tracked and qualitative data obtained from three user groups. IMCI practitioners participated in questionnaires and focus groups, operational managers in in-depth interviews and caregivers in exit interviews. Results: Thirty-two IMCI practitioners, six operational managers and 30 caregivers were included. Acceptance was high among caregivers and operational managers, albeit less conclusive among IMCI practitioners whose eIMCI uptake indicated higher variability in acceptance than the qualitative reports. Despite suboptimal staff deployment after training and low baseline computer literacy levels, 3626 eIMCI records were captured across 12 sites over 14 weeks, with a median of 19 records per facility per week. Practitioners' indicators of self-efficacy improved significantly (p < 0.05) post-implementation compared to baseline. Seventy-six percent of caregivers reported a marked difference in experience compared to previous consultations, emphasising the comprehensiveness and efficiency of care. Conclusion: Uptake was promising and acceptance was good, with themes converging across participant groups to highlight improved comprehensiveness and efficiency of service. Limited computer literacy was the principal barrier to uptake. The next steps include incremental scale-up with stronger mentoring and supervision components and evaluations to assess the feasibility, effectiveness and cost-effectiveness of eIMCI implementation. Abbreviations: CDSS: clinical decision support system; CHCs: community health centres; DoH: Department of Health; eIMCI: electronic IMCI; eHealth: electronic health; EHR: electronic health records; ICT: information and communication technology; IMCI: Integrated Management of Childhood Illness; OM: operational managers; PHCs: primary healthcare clinics; SA: South Africa; SSA: sub-Saharan Africa.
Background: Despite progress in reducing child mortality, preventable child deaths remain a challenge in South Africa. Poor implementation of Integrated Management of Childhood Illness (IMCI) guidelines has been well described, and the reported barriers to implementation include a lack of user-friendly implementation tools. Aim: To investigate whether an electronic decision support tool to strengthen IMCI implementation is acceptable to nurses, clinic managers and caregivers at primary care facilities in KwaZulu-Natal, South Africa. Methods: The electronic IMCI (eIMCI) software was tested in 15 health facilities in uMgungundlovu district from May to July 2018. System use was tracked and qualitative data obtained from three user groups. IMCI practitioners participated in questionnaires and focus groups, operational managers in in-depth interviews and caregivers in exit interviews. Results: Thirty-two IMCI practitioners, six operational managers and 30 caregivers were included. Acceptance was high among caregivers and operational managers, albeit less conclusive among IMCI practitioners whose eIMCI uptake indicated higher variability in acceptance than the qualitative reports. Despite suboptimal staff deployment after training and low baseline computer literacy levels, 3626 eIMCI records were captured across 12 sites over 14 weeks, with a median of 19 records per facility per week. Practitioners' indicators of self-efficacy improved significantly (p < 0.05) post-implementation compared to baseline. Seventy-six percent of caregivers reported a marked difference in experience compared to previous consultations, emphasising the comprehensiveness and efficiency of care. Conclusion: Uptake was promising and acceptance was good, with themes converging across participant groups to highlight improved comprehensiveness and efficiency of service. Limited computer literacy was the principal barrier to uptake. The next steps include incremental scale-up with stronger mentoring and supervision components and evaluations to assess the feasibility, effectiveness and cost-effectiveness of eIMCI implementation. Abbreviations: CDSS: clinical decision support system; CHCs: community health centres; DoH: Department of Health; eIMCI: electronic IMCI; eHealth: electronic health; EHR: electronic health records; ICT: information and communication technology; IMCI: Integrated Management of Childhood Illness; OM: operational managers; PHCs: primary healthcare clinics; SA: South Africa; SSA: sub-Saharan Africa.
Entities:
Keywords:
Integrated Management of Childhood Illness; South Africa; acceptability; clinical decision support systems; electronic health; sub-Saharan Africa; uptake
Authors: Ayomide Owoyemi; Joanne I Osuchukwu; Clark Azubuike; Ronald Kelechi Ikpe; Blessing C Nwachukwu; Cassandra B Akinde; Grace W Biokoro; Abisoye B Ajose; Ezechukwu Ikenna Nwokoma; Nehemiah E Mfon; Temitope O Benson; Anthony Ehimare; Daniel Irowa-Omoregie; Seun Olaniran Journal: Front Digit Health Date: 2022-06-03