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Healthcare professionals (HCPs) have vital roles in providing evidence‐based care to promote healthy micronutrient nutrition in early life. Providing such care requires scalable training to strengthen knowledge and confident application of effective behaviour change skills. Among 33 public and private HCPs (primarily dietitians) in South Africa, we evaluated the behaviour change aspects of a technology‐enabled National Qualification Sub‐Framework level 6 programme, Improving Early Nutrition and Health in South Africa ('ImpENSA'). This programme comprises two self‐directed micronutrient and behaviour change knowledge‐based eLearning and one facilitated online practical skills modules to improve maternal and infant micronutrient nutrition. Using assessments, questionnaires and interviews, we collected data at baseline, after module completion and at 3‐month follow‐up after programme completion. Questionnaire and interview data showed major improvements in understanding of and attitudes towards person‐centred behaviour change support immediately following the eLearning module on behaviour change. The assessment pass rate increased from 38% at baseline to 88% postmodule, demonstrating significant knowledge gain in behaviour change support. Intention to change practice towards a person‐centred approach was high and many had already started implementing changes. Three months postprogramme, support was centred around patients' needs. Open relationships with patients, improved patient outcomes and increased job satisfaction were among reported outcomes. Many reported becoming better change facilitators and reflective practitioners. Additional improvements in understanding and attitudes to behaviour change support were evident, reinforced by making changes and experiencing positive outcomes. The findings suggest that technology‐enabled learning can equip HCPs with knowledge and skills to effectively support behaviour change for healthy micronutrient nutrition during pregnancy and infancy. Key messages: After completing behaviour change skills eLearning, participants' attitudes and understanding of nutrition behaviour change support changed from expert to person centred.Participants adopted a person‐centred approach that focussed on patients' needs and implemented it in practice.At 3‐month follow‐up, consultations became more patient‐led, holistic and information given tailored and designed for patients. Participants reportedly became effective change facilitators and better listeners.Participants reported open relationships with patients, improved patient outcomes, increased job satisfaction and reflective practice.Technology‐enabled learning, when designed appropriately, offers a highly accessible and effective training method to support healthcare professionals to adopt person‐centred nutrition support in practice. [ABSTRACT FROM AUTHOR]

Importance: Probiotics are often considered in children to prevent antibiotic-associated diarrhea. However, the underlying mechanistic effects and impact of probiotics on antibiotic-induced microbiota changes are not well understood., Objective: To investigate the effects of a multispecies probiotic on the gut microbiota composition in children receiving antibiotics., Design, Setting, and Participants: This is a secondary analysis of a randomized, quadruple-blind, placebo-controlled clinical trial from February 1, 2018, to May 31, 2021, including 350 children receiving broad-spectrum antibiotics in the inpatient and outpatient settings. Patients were followed up until 1 month after the intervention period. Fecal samples and data were analyzed between September 1, 2022, and February 28, 2023. Eligibility criteria included 3 months to 18 years of age and recruitment within 24 hours following initiation of broad-spectrum systemic antibiotics. In total, 646 eligible patients were approached and 350 participated in the trial., Intervention: Participants were randomly assigned to receive daily placebo or a multispecies probiotic formulation consisting of 8 strains from 5 different genera during antibiotic treatment and for 7 days afterward., Main Outcomes and Measures: Fecal stool samples were collected at 4 predefined times: (1) inclusion, (2) last day of antibiotic use, (3) last day of the study intervention, and (4) 1 month after intervention. Microbiota analysis was performed by 16S ribosomal RNA gene sequencing., Results: A total of 350 children were randomized and collected stool samples from 88 were eligible for the microbiota analysis (54 boys and 34 girls; mean [SD] age, 47.09 [55.64] months). Alpha diversity did not significantly differ between groups at the first 3 times. Shannon diversity (mean [SD], 3.56 [0.75] vs 3.09 [1.00]; P = .02) and inverse Simpson diversity (mean [SD], 3.75 [95% CI, 1.66-5.82] vs -1.31 [95% CI, -3.17 to 0.53]; P = 1 × 10-4) indices were higher in the placebo group compared with the probiotic group 1 month after intervention. Beta diversity was not significantly different at any of the times. Three of 5 supplemented genera had higher relative abundance during probiotic supplementation, but this difference had disappeared after 1 month., Conclusions and Relevance: The studied probiotic mixture had minor and transient effects on the microbiota composition during and after antibiotic treatment. Further research is needed to understand their working mechanisms in manipulating the microbiome and preventing antibiotic-associated dysbiosis and adverse effects such as antibiotic-associated diarrhea., Trial Registration: ClinicalTrials.gov Identifier: NCT03334604.