Opportunities and Challenges of Integrating Food Practice into Clinical Decision-Making

BACKGROUND

Food practice plays an important role in health. Food practice data collected in daily living settings can inform clinical decisions. However, integrating such data into clinical decision-making is burdensome for both clinicians and patients, resulting in poor adherence and limited utilization. Automation offers benefits in this regard, minimizing this burden resulting in a better fit with a patient's daily living routines, and creating opportunities for better integration into clinical workflow. Although the literature on patient-generated health data (PGHD) can serve as a starting point for the automation of food practice data, more diverse characteristics of food practice data provide additional challenges.

OBJECTIVES

We describe a series of steps for integrating food practices into clinical decision-making. These steps include the following: (1) sensing food practice; (2) capturing food practice data; (3) representing food practice; (4) reflecting the information to the patient; (5) incorporating data into the EHR; (6) presenting contextualized food practice information to clinicians; and (7) integrating food practice into clinical decision-making.

METHODS

We elaborate on automation opportunities and challenges in each step, providing a summary visualization of the flow of food practice-related data from daily living settings to clinical settings.

RESULTS

We propose four implications of automating food practice hereinafter. First, there are multiple ways of automating workflow related to food practice. Second, steps may occur in daily living and others in clinical settings. Food practice data and the necessary contextual information should be integrated into clinical decision-making to enable action. Third, as accuracy becomes important for food practice data, macrolevel data may have advantages over microlevel data in some situations. Fourth, relevant systems should be designed to eliminate disparities in leveraging food practice data.

CONCLUSION

Our work confirms previously developed recommendations in the context of PGHD work and provides additional specificity on how these recommendations apply to food practice.

Effect of a Conditional Cash Transfer Program on Nutritional Knowledge and Food Practices among Caregivers of 3-5-Year-Old Left-Behind Children in the Rural Hunan Province

Left-behind children (LBC) are a unique population in China, whose numbers have increased dramatically in recent years. Most caregivers of left-behind children (CLBC) are grandparents who lack knowledge about proper nutrition and food practice, putting LBC at greater risk for malnutrition. A cluster randomized controlled trial was carried to assess the effectiveness of the conditional cash transfer (CCT) program. Forty rural villages from Fenghuang County and Pingjiang County of Hunan province were selected. The villages were randomized into the intervention and control groups. In the intervention group, caregivers received a cash transfer conditional on bimonthly health education attendance, bringing LBC in for vaccinations, and on-time annual health checks. The control group received routine health services only. Two rounds of questionnaire surveys were conducted in March 2015 and July 2016. Questionnaires and in-person interviews were used to assess the changes in nutritional knowledge and food practices among CLBC. Among 447 valid subjects, CLBC in the intervention group were significantly more likely to correctly understand the importance of children’s height and weight measurements, food variety, inclusion of eggs and dairy in the diet, and anemia identification and prevention. Intervention group CLBC were also significantly more likely to prepare dairy products and eggs for their children. Generalized liner mixed model (GLMM) analysis showed that CLBC nutrition knowledge was improved significantly in the intervention group (adjusted p value = 0.01), and there were also positive changes in their food practice (adjusted p value = 0.047). This CCT intervention turned to be effective with respect to rural caregivers’ nutritional knowledge and food practice behavior. The findings from this project could be helpful for future health strategies targeting rural children, in particular the LBC group.