360° Diagnostic Tool to Personalize Lifestyle Advice in Primary Care for People With Type 2 Diabetes: Development and Usability Study.

BACKGROUND: Various multifaceted factors need to be addressed to improve the health and quality of life of people with type 2 diabetes (T2D). Therefore, we developed a web-based decision support tool that comprises a more holistic diagnosis (including 4 domains: body, thinking and feeling, behavior, and environment) and personalized advice. This 360° diagnostic tool enables people with T2D and health care professionals at the general practice to obtain an overview of the most important T2D-related issues and, subsequently, determine the most suitable intervention for the person with T2D. OBJECTIVE: This study aimed to describe the systematic and iterative development and evaluation of the web-based 360° diagnostic tool. METHODS: We defined the requirements for the web-based 360° diagnostic tool based on previously developed tools, a literature review, and inputs from a multidisciplinary team of experts. As part of the conceptualization, we defined 3 requirements: diagnostics; feedback; and advice, consultation, and follow-up. Next, we developed and designed the content for each of these requirements. We evaluated the diagnostic part of the tool (ie, measurement instruments and visualization) with a qualitative design, in a usability study with a think-aloud strategy and interview questions, among 8 people with T2D at a Dutch general practice. RESULTS: For each of the 4 domains, specific parameters and underlying elements were selected, and measurement instruments (including clinical data and questionnaires) were chosen. Cutoff values were defined to identify high-, middle-, and low-ranking scores, and decision rules were developed and implemented using R scripts and algorithms. A traffic light color visual design was created (profile wheel) to provide an overview of the scores per domain. We mapped the interventions that could be added to the tool and developed a protocol designed as a card deck with motivational interview steps. Furthermore, the usability study showed that people with T2D perceived the tool as easy to use, useful, easy to understand, and insightful. CONCLUSIONS: Preliminary evaluation of the 360° diagnostic tool by experts, health care professionals, and people with T2D showed that the tool was considered relevant, clear, and practical. The iterative process provided insights into the areas of improvement, which were implemented. The strengths, shortcomings, future use, and challenges are also discussed.

Development of the gut microbiota in early life: The impact of cystic fibrosis and antibiotic treatment.

OBJECTIVES: Patients with Cystic Fibrosis (CF) suffer from pancreatic insufficiency, lipid malabsorption and gastrointestinal complaints, next to progressive pulmonary disease. Altered mucosal homoeostasis due to malfunctioning chloride channels results in an adapted microbial composition of the gastrointestinal and the respiratory tract. Additionally, antibiotic treatment has the potential to distort resident microbial communities dramatically. This study aims to investigate early life development of the gut microbial community composition of children with CF compared to healthy infants and to study the independent effects of antibiotics taking into account other clinical and lifestyle factors. STUDY DESIGN: Faecal samples from 20 infants with CF and 45 healthy infants were collected regularly during the first 18 months of life and microbial composition was determined using 16S rRNA based sequencing. RESULTS: We observed significant differences in the overall microbiota composition between infants with CF and healthy infants (p<0.001). Akkermansia and Anaerostipes were significantly more abundant in control infants, whereas Streptococci and E. coli were significantly more abundant in infants with CF, also after correction for several clinical factors (p<0.05). Antibiotic use in infants with CF was associated with a lower alpha diversity, a reduced abundance of Bifidobacterium and Bacteroides, and a higher abundance of Enterococcus. CONCLUSION: Microbial development of the gut is different in infants with CF compared to healthy infants from the first months of life on, and further deviates over time, in part as a result of antibiotic treatment. The resulting dysbiosis may have significant functional consequences for the microbial ecosystem in CF patients.

Development of Upper Respiratory Tract Microbiota in Infancy is Affected by Mode of Delivery.

Birth by Caesarian section is associated with short- and long-term respiratory morbidity. We hypothesized that mode of delivery affects the development of the respiratory microbiota, thereby altering its capacity to provide colonization resistance and consecutive pathobiont overgrowth and infections. Therefore, we longitudinally studied the impact of mode of delivery on the nasopharyngeal microbiota development from birth until six months of age in a healthy, unselected birth cohort of 102 children (n=761 samples). Here, we show that the respiratory microbiota develops within one day from a variable mixed bacterial community towards a Streptococcus viridans-predominated profile, regardless of mode of delivery. Within the first week, rapid niche differentiation had occurred; initially with in most infants Staphylococcus aureus predominance, followed by differentiation towards Corynebacterium pseudodiphteriticum/propinquum, Dolosigranulum pigrum, Moraxella catarrhalis/nonliquefaciens, Streptococcus pneumoniae, and/or Haemophilus influenzae dominated communities. Infants born by Caesarian section showed a delay in overall development of respiratory microbiota profiles with specifically reduced colonization with health-associated commensals like Corynebacterium and Dolosigranulum, thereby possibly influencing respiratory health later in life.