ABSTRACT Objective: To describe the modeling stages of food and nutrition surveillance in the Primary Health Care of the Unified Health Care System, considering its activities, objectives, and goals Methods: Document analysis and semi-structured interviews were used for identifying the components, describe the intervention, and identify potential assessment users. Results: The results include identification of the objectives and goals of the intervention, the required inputs, activities, and expected effects. The intervention was then modeled based on these data. The use of the theoretical logic model optimizes times, resources, definition of the indicators that require monitoring, and the aspects that require assessment, identifying more clearly the contribution of the intervention to the results Conclusion: Modeling enabled the description of food and nutrition surveillance based on its components and may guide the development of viable plans to monitor food and nutrition surveillance actions so that modeling can be established as a local intersectoral planning instrument.

ABSTRACT Objective: To describe the modeling stages of food and nutrition surveillance in the Primary Health Care of the Unified Health Care System, considering its activities, objectives, and goals Methods: Document analysis and semi-structured interviews were used for identifying the components, describe the intervention, and identify potential assessment users. Results: The results include identification of the objectives and goals of the intervention, the required inputs, activities, and expected effects. The intervention was then modeled based on these data. The use of the theoretical logic model optimizes times, resources, definition of the indicators that require monitoring, and the aspects that require assessment, identifying more clearly the contribution of the intervention to the results Conclusion: Modeling enabled the description of food and nutrition surveillance based on its components and may guide the development of viable plans to monitor food and nutrition surveillance actions so that modeling can be established as a local intersectoral planning instrument.

ABSTRACT The aim of this paper is to present the availability of structure and professional activities of Primary Health Care corresponding to the Overweight and Obesity Care Line in the state of Piauí. Descriptive cross-sectional study that used data related to the obesity care line from Modules I and II of Cycle III of the Program for Improving Primary Health Care Access and Quality. Municipalities with ≥ 70% of the contracted teams participated. The availability was classified as critical, incipient, intermediate and sufficient, based on the units of analysis: health units and teams. The data were stratified by municipalities and macro-regions. The units of analysis were considered satisfactory when they had greater than or equal to 70% of the items. Prevalence and gross and adjusted prevalence ratio were calculated. 213 municipalities, 964 units and 1.033 teams were evaluated. Satisfactory availability was 71.3%, 84.0%, and 97.6%, respectively. Satisfactory availability was more concentrated among municipalities greater than 2.000 inhabitants. The semi-arid macro-region presented 1.26 times greater probability of availability of the structure and 1.03 times of carrying out the activities. Most municipalities presented satisfactory availability for the care line. The findings may support assessment and intervention planning practices.

ABSTRACT The aim of this paper is to present the availability of structure and professional activities of Primary Health Care corresponding to the Overweight and Obesity Care Line in the state of Piauí. Descriptive cross-sectional study that used data related to the obesity care line from Modules I and II of Cycle III of the Program for Improving Primary Health Care Access and Quality. Municipalities with ≥ 70% of the contracted teams participated. The availability was classified as critical, incipient, intermediate and sufficient, based on the units of analysis: health units and teams. The data were stratified by municipalities and macro-regions. The units of analysis were considered satisfactory when they had greater than or equal to 70% of the items. Prevalence and gross and adjusted prevalence ratio were calculated. 213 municipalities, 964 units and 1.033 teams were evaluated. Satisfactory availability was 71.3%, 84.0%, and 97.6%, respectively. Satisfactory availability was more concentrated among municipalities greater than 2.000 inhabitants. The semi-arid macro-region presented 1.26 times greater probability of availability of the structure and 1.03 times of carrying out the activities. Most municipalities presented satisfactory availability for the care line. The findings may support assessment and intervention planning practices.