Personalised dietary advice has become increasingly popular, currently however most approaches are based on an individual\'s genetic and phenotypic profile whilst largely ignoring other determinants such as socio economic and cognitive variables. This paper provides novel insights by testing the effectiveness of personalised healthy eating advice concurrently tailored to an individual\'s socio-demographic group, cognitive characteristics, and sensory preferences. We first used existing data to build a synthetic dataset based on information from 3654 households (Study 1a), and then developed a cluster model to identify individuals characterised by similar socio-demographic, cognitive, and sensory aspects (Study 1b). Finally, in Study 2 we used the characteristics of 8 clusters to build 8 separate personalised food choice advice and assess their ability to motivate the increased consumption of fruit and vegetables and decreased intakes of saturated fat and sugar. We presented 218 participants with either generic UK Government \"EatWell\" advice, advice that was tailored to their allocated cluster (matched personalised), or advice tailored to a different cluster (unmatched personalised). Results showed that, when compared to generic advice, participants that received matched personalised advice were significantly more likely to indicate they would change their diet. Participants were similarly motivated to increase vegetable consumption and decrease saturated fat intake when they received unmatched personalised advice, potentially highlighting the power of providing alternative food choices. Overall, this study demonstrated that the power of personalizing food choice advice, based on a combination of individual characteristics, can be more effective than current approaches in motivating dietary change. Our study also emphasizes the viability of addressing population health through automatically delivered web-based personalised advice.

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.

To examine how and to what extent self-management support, including behaviour change support, is provided by primary care nurses in routine consultations with chronically ill patients.
Observational study design.
Routine consultations of primary care nurses in the Netherlands with chronically ill patients were audio-taped and analysed. The analysis identified health topics addressed according to health care standards, self-management topics addressed using a validated set of topics, and behaviour change techniques (BCTs) using the Behaviour Change Techniques Taxonomy v1.
Seventy-eight routine consultations of 17 primary care nurses with chronically ill patients were included in the analysis. Nurses addressed both health topics and self-management topics in brief, fragmented, and often inconsistent manners. Dietary intake and physical activity were the most frequently addressed topics. Nurses applied 21 BCTs to target behaviour change, but the use of these techniques was mainly inconsistent and implicit. The most consistently used BCTs were review behaviour goal(s) (56.4%) and feedback on behaviour (51.3%).
Nurses addressed both health topics and self-management topics in their routine consultations. The duration, frequency, and number of addressed topics differed throughout the consultations. Nurses tended to prioritize the monitoring and optimization of patients\' medical treatment and provided limited self-management support. Nurses seldom deepened their focus on behaviour change and infrequently used effective techniques to support this change. Adoption of self-management in primary care, including behaviour change, might be enhanced if nurses consistently and explicitly use effective BCTs in their consultations. Statement of contribution What is already known on this subject? Primary care nurses play a pivotal role in self-management support for patients with a chronic condition. Adequate self-management support requires nurses to activate patients and enhance behaviour change. Little is known regarding to what extent nurses provide self-management support in routine primary care. What does this study add? Self-management support is brief, fragmented, and inconsistently provided by nurses. Nurses tend to prioritize medical treatment optimization and seldom focus on behavioural change. Nurses\' use of effective behaviour change techniques is low and should be enhanced.