Real-world data and the patient perspective: the PROmise of social media?

Understanding the patient perspective is fundamental to delivering patient-centred care. In most healthcare systems, however, patient-reported outcomes are not regularly collected or recorded as part of routine clinical care, despite evidence that doing so can have tangible clinical benefit. In the absence of the routine collection of these data, research is beginning to turn to social media as a novel means to capture the patient voice. Publicly available social media data can now be analysed with relative ease, bypassing many logistical hurdles associated with traditional approaches and allowing for accelerated and cost-effective data collection. Existing work has shown these data can offer credible insight into the patient experience, although more work is needed to understand limitations with respect to patient representativeness and nuances of captured experience. Nevertheless, linking social media to electronic medical records offers a significant opportunity for patient views to be systematically collected for health services research and ultimately to improve patient care.

Appetitive traits and food intake patterns in early life.

BACKGROUND: High food responsiveness (FR) and low satiety responsiveness (SR) are 2 appetitive traits that have been associated longitudinally with risk of excessive weight gain; however, to our knowledge, no studies have examined the associations between these traits and eating patterns in daily life in young children. OBJECTIVE: We tested the hypothesis that higher FR is independently associated with a higher meal frequency and that lower SR is associated with a larger meal size. DESIGN: Data were from 1102 families (2203 children) from the Gemini twin birth cohort. Appetite was assessed with the use of the Child Eating Behavior Questionnaire when the children were 16 mo old (mean ± SD: 15.73 ± 1.08 mo old), and meal frequency (eating occasions per day) and meal size (kilojoules per eating occasion) were determined from 3-d diet diaries completed by parents when the children were 21 mo old (mean ± SD: 20.65 ± 1.10 mo old). Complex samples general linear models were used to explore cross-sectional associations between appetitive traits and meal variables. RESULTS: After adjustment for the covariates gestational age, birth weight, sex, difference in age at diet-diary completion, and appetite measurement, higher FR was associated with more-frequent meals (B ± SE: 0.13 ± 0.04; P = 0.001) but not with meal size (P = 0.41), and lower SR was associated with a larger meal size (B ± SE: -47.61 ± 8.79; P < 0.001) but not with meal frequency (P = 0.15). CONCLUSIONS: FR and SR predict different eating variables with more food-responsive children eating more frequently, whereas less-satiety-responsive children eat more food on each eating occasion. Different strategies may be required to reduce the potential effects of FR and SR on weight gain.

Meal size is a critical driver of weight gain in early childhood.

Larger serving sizes and more frequent eating episodes have been implicated in the rising prevalence of obesity at a population level. This study examines the relative contributions of meal size and frequency to weight gain in a large sample of British children. Using 3-day diet diaries from 1939 children aged 21 months from the Gemini twin cohort, we assessed prospective associations between meal size, meal frequency and weight gain from two to five years. Separate longitudinal analyses demonstrated that every 10 kcal increase in meal size was associated with 1.5 g/wk or 4% (p = 0.005) faster growth rate, while meal frequency was not independently associated with growth (ß = 0.3 g/wk p = 0.20). Including both meal parameters in the model strengthened associations (meal size: ß = 2.6 g/wk, p < 0.001; meal frequency: ß = 1.0 g/wk, p = 0.001). Taken together, the implication is that meal size promotes faster growth regardless of frequency, but meal frequency has a significant effect only if meal size is assumed to be held constant. Clearer advice on meal size and frequency, especially advice on appropriate meal size, may help prevent excess weight gain.

The role of infant appetite in extended formula feeding.

OBJECTIVE: Parental decision-making around extended formula feeding (12 months+) has not been explored previously. This study tested the hypotheses that extended formula milk use (i) is associated with poorer appetite and (ii) supplements lower food intake. METHODS: Appetite was assessed with the Child Eating Behaviour Questionnaire (CEBQ) in 3854 twin children aged 16 months. Diet was assessed from 3-day diaries in 2714 children at 21 months. Parents reported their children's weight at 24 months. Associations between formula feeding and (1) appetite, (2) energy intake and (3) weight were examined. 35 mothers were interviewed when the children were 7 years old to explore retrospectively their reasons for extended formula feeding. RESULTS: Formula consumers (13% of the sample) scored significantly differently than non-formula consumers on five of the six CEBQ subscales, indicating lower appetite avidity: 'food responsiveness' (2.02 vs 2.22, respectively),'enjoyment of food' (3.99 vs 4.20), 'satiety responsiveness' (2.89 vs 2.65), 'slowness in eating' (2.63 vs 2.46) and 'food fussiness' (2.34 vs 2.14). Formula consumers had a significantly lower percentage of daily energy intake from food (70% vs 74%); however, total daily energy intake did not differ significantly from non-consumers (4315 vs 4373 kJ). At interview, mothers reported supplementing their child's diet with formula because of 'picky eating' and concerns about inadequate food intake. CONCLUSIONS: High formula milk intake is associated with picky-eating behaviours, but seems to act as a substitute for rather than a supplement to solid food. Prospective and intervention studies are needed to determine whether extended formula feeding has an enduring impact on weight trajectories, eating behaviours or health.

Development and evaluation of an online tool for management of overweight children in primary care: a pilot study.

OBJECTIVE: To explore the acceptability of implementing an online tool for the assessment and management of childhood obesity (Computer-Assisted Treatment of CHildren, CATCH) in primary care. DESIGN AND SETTING: An uncontrolled pilot study with integral process evaluation conducted at three general practices in northwest London, UK (November 2012-April 2013). PARTICIPANTS: Families with concerns about excess weight in a child aged 5-18 years (n=14 children). INTERVENTION: Families had a consultation with a doctor or nurse using CATCH, which assessed child weight status, cardiometabolic risk and risk of emotional and behavioural difficulties and provided personalised lifestyle advice. Families and practitioners completed questionnaires to assess the acceptability and usefulness of the consultation, and participated in semistructured interviews which explored user experiences. OUTCOME MEASURES: The primary outcome was family satisfaction with the tool-assisted consultation. Secondary outcomes were practitioners' satisfaction, and acceptability and usefulness of the intervention to families and practitioners. RESULTS: The majority of families (86%, n=12) and all practitioners (n=4) were satisfied with the consultation. Participants reported that the tool was easy to use, the personalised lifestyle advice useful and the use of visual aids beneficial. Families and practitioners identified a need for practical, structured support for weight management following the consultation. CONCLUSIONS: The results of this pilot study indicate that an online tool for assessment and management of childhood obesity can be implemented in primary care, and is acceptable to patients, families and practitioners. Further development and evaluation of the tool is warranted.

State and trait food craving in people with bulimic eating disorders.

In two studies, we examined trait and state food craving levels in people with a bulimic disorder (BD) (bulimia nervosa and related disorders) and healthy controls (HC) using multidimensional self-report assessments. In study 1, trait food craving was assessed in 70 people with a BD and 69 HC using the Food Craving Questionnaire-Trait. Participants also completed the Eating Disorder Examination-Questionnaire (EDE-Q). In study 2, 45 people with a BD and 29 HC completed the Food Craving Questionnaire-State and the EDE-Q following exposure to visual and real high-caloric food cues. The results showed that both trait and state food cravings were significantly higher in people with a BD, compared to HC. Trait food craving was associated with eating disorder symptomatology in both the HC and BD groups. State food craving was associated with eating disorder psychopathology, but only in the BD group. This research underscores the importance of food craving in the study and conceptualization of BD.