“It’s good to feel like you’re doing something”: a qualitative study examining state health department employees’ views on why ineffective programs continue to be implemented in the USA

Background Mis-implementation, the inappropriate continuation of programs or policies that are not evidence-based or the inappropriate termination of evidence-based programs and policies, can lead to the inefficient use of scarce resources in public health agencies and decrease the ability of these agencies to deliver effective programs and improve population health. Little is known about why mis-implementation occurs, which is needed to understand how to address it. This study sought to understand the state health department practitioners’ perspectives about what makes programs ineffective and the reasons why ineffective programs continue. Methods Eight state health departments (SHDs) were selected to participate in telephone-administered qualitative interviews about decision-making around ending or continuing programs. States were selected based on geographic representation and on their level of mis-implementation (low and high) categorized from our previous national survey. Forty-four SHD chronic disease staff participated in interviews, which were audio-recorded and transcribed verbatim. Transcripts were consensus coded, and themes were identified and summarized. This paper presents two sets of themes, related to (1) what makes a program ineffective and (2) why ineffective programs continue to be implemented according to SHD staff. Results Participants considered programs ineffective if they were not evidence-based or if they did not fit well within the population; could not be implemented well due to program restraints or a lack of staff time and resources; did not reach those who could most benefit from the program; or did not show the expected program outcomes through evaluation. Practitioners described several reasons why ineffective programs continued to be implemented, including concerns about damaging the relationships with partner organizations, the presence of program champions, agency capacity, and funding restrictions. Conclusions The continued implementation of ineffective programs occurs due to a number of interrelated organizational, relational, human resources, and economic factors. Efforts should focus on preventing mis-implementation since it limits public health agencies’ ability to conduct evidence-based public health, implement evidence-based programs effectively, and reduce the high burden of chronic diseases. The use of evidence-based decision-making in public health agencies and supporting adaptation of programs to improve their fit may prevent mis-implementation. Future work should identify effective strategies to reduce mis-implementation, which can optimize public health practice and improve population health.

The Influence of Front-of-Package Nutrition Labeling on Consumer Behavior and Product Reformulation

Countries worldwide have implemented mandatory or voluntary front-of-package nutrition labeling systems. We provide a narrative review of ( a) real-world evaluations of front-of-package nutrition labels that analyze objective sales data and ( b) studies that objectively assess product reformulation in response to a front-of-package nutrition label implementation. We argue that there is sufficient scientific evidence to recommend that governments implement mandatory front-of-package nutrition labeling systems to improve population health. We also present a conceptual framework to describe front-of-package label influence and provide recommendations for the optimal label design, emphasizing that labeling systems should be highly visible and salient, be simple and easy to understand, leverage automatic associations, and integrate informational and emotional messaging. The existing research suggests that Guideline Daily Amount labels should be avoided and that the Health Star Rating and Nutri-Score systems are promising but that systems with warning labels like the one in Chile are likely to produce the largest public health benefits. Expected final online publication date for the Annual Review of Nutrition, Volume 41 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Machine Learning Prediction of Food Processing

Despite the accumulating evidence that increased consumption of ultra-processed food has adverse health implications, it remains difficult to decide what constitutes processed food. Indeed, the current processing-based classification of food has limited coverage and does not differentiate between degrees of processing, hindering consumer choices and slowing research on the health implications of processed food. Here we introduce a machine learning algorithm that accurately predicts the degree of processing for any food, indicating that over 73% of the U.S. food supply is ultra-processed. We show that the increased reliance of an individual's diet on ultra-processed food correlates with higher risk of metabolic syndrome, diabetes, angina, elevated blood pressure and biological age, and reduces the bio-availability of vitamins. Finally, we find that replacing foods with less processed alternatives can significantly reduce the health implications of ultra-processed food, suggesting that access to information on the degree of processing, currently unavailable to consumers, could improve population health.

Vision 2030 and Sustainable Development: State Capacity to Revitalize the Healthcare System in Saudi Arabia

Vision 2030 is a social and economic strategic program by the Kingdom of Saudi Arabia (KSA) aimed at diversifying the nation’s economy and stimulating numerous changes in its social and economic sectors, including in healthcare. Sustainable Development (SD) 2030 is a global consensual agreement among nation-states to build a sustainable, desirable and progressively interrelated world. The Saudi government highlighted Vision 2030 to improve population health and the world body reiterated that SD 2030 will contribute to “healthy lives and promote well-being for all at all ages.” This article analyzes the state capacity in revitalizing the healthcare system in Saudi Arabia with the context of Vision 2030 and SD 2030. Scoping reviews and thematic data analysis techniques were used as a method of this study. The realization of Vision 2030 is essential for the fulfilment of the SD Goals 2030. The government has realigned its national programs, plans and strategies with global development targets, indicators, and goals to achieve the SD Goals. Achieving SD 2030 is seen as the main component of development for health. Prudent reforms should be taken to accommodate the goals and objectives of Vision 2030 and SD 2030. These measures will help strengthen governance and state capacity so as to ultimately revitalize the Saudi healthcare system and improve population health. Saudi Arabia’s Vision 2030 encourages the state to play a renewed role in development in light of the UN’s declaration of the “right to development.” While pursuing SD Goals, the state must create the necessary environment for sustaining capacity, need to improve service delivery by building cooperation and coordination among providers and interactions among groups to realize constructive roles and functions in maintaining state affairs, which ultimately enhances state capacity to revitalize healthcare system of Saudi Arabia.