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Background: Systemic lupus erythematosus (SLE) is a life-threatening, chronic, autoimmune disease requiring long term subspecialty care due to its complex and chronic nature. Childhood-onset SLE (cSLE) is more severe than adult-onset, and the cSLE population in South Africa has been reported to have an even higher risk than patients elsewhere. Therefore, it is critical to promptly diagnose, treat, and manage cSLE. In this paper, we aim to describe and evaluate barriers and enablers of appropriate long-term care of cSLE South Africa from the perspective of caregivers (parents or family members). Methods: Caregivers (n = 22) were recruited through pediatric and adult rheumatology clinics. Individuals were eligible if they cared for youth (≤ 19 years) who were diagnosed with cSLE and satisfied at least four of the eleven ACR SLE classification criteria. Individual in-depth, semi-structured interviews were conducted between January 2014 and December 2014, and explored barriers to and facilitators of ongoing chronic care for cSLE. Data were analyzed using applied thematic analysis. Results: Four barriers to chronic care engagement and retention were identified: knowledge gap, financial burdens, social stigma of SLE, and complexity of the South African medical system. Additionally, we found three facilitators: patient and caregiver education, robust support system for the caregiver, and financial support for the caregiver and patient. Conclusion: These findings highlight multiple, intersecting barriers to routine longitudinal care for cSLE in South Africa and suggest there might be a group of diagnosed children who don't receive follow-up care and are subject to loss to follow-up. cSLE requires ongoing treatment and care; thus, the different barriers may interact and compound over time with each follow-up visit. South African cSLE patients are at high risk for poor outcomes. South African care teams should work to overcome these barriers and place attention on the facilitators to improve care retention for these patients and create a model for other less resourced settings. [ABSTRACT FROM AUTHOR]

Background: Electronic clinical decision-making support systems (eCDSS) aim to assist clinicians making complex patient management decisions and improve adherence to evidence-based guidelines. Integrated management of Childhood Illness (IMCI) provides guidelines for management of sick children attending primary health care clinics and is widely implemented globally. An electronic version of IMCI (eIMCI) was developed in South Africa. Methods: We conducted a cluster randomized controlled trial comparing management of sick children with eIMCI to the management when using paper-based IMCI (pIMCI) in one district in KwaZulu-Natal. From 31 clinics in the district, 15 were randomly assigned to intervention (eIMCI) or control (pIMCI) groups. Computers were deployed in eIMCI clinics, and one IMCI trained nurse was randomly selected to participate from each clinic. eIMCI participants received a one-day computer training, and all participants received a similar three-day IMCI update and two mentoring visits. A quantitative survey was conducted among mothers and sick children attending participating clinics to assess the quality of care provided by IMCI practitioners. Sick child assessments by participants in eIMCI and pIMCI groups were compared to assessment by an IMCI expert. Results: Self-reported computer skills were poor among all nurse participants. IMCI knowledge was similar in both groups. Among 291 enrolled children: 152 were in the eIMCI group; 139 in the pIMCI group. The mean number of enrolled children was 9.7 per clinic (range 7-12). IMCI implementation was sub-optimal in both eIMCI and pIMCI groups. eIMCI consultations took longer than pIMCI consultations (median duration 28 minutes vs 25 minutes; p = 0.02). eIMCI participants were less likely than pIMCI participants to correctly classify children for presenting symptoms, but were more likely to correctly classify for screening conditions, particularly malnutrition. eIMCI participants were less likely to provide all required medications (124/152; 81.6% vs 126/139; 91.6%, p= 0.026), and more likely to prescribe unnecessary medication (48/152; 31.6% vs 20/139; 14.4%, p = 0.004) compared to pIMCI participants. Conclusions: Implementation of eIMCI failed to improve management of sick children, with poor IMCI implementation in both groups. Further research is needed to understand barriers to comprehensive implementation of both pIMCI and eIMCI. (349) Clinical trials registration: Clinicaltrials.gov ID: BFC157/19, August 2019. [ABSTRACT FROM AUTHOR]