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1.
Sci Prog ; 104(4): 368504211043365, 2021 10.
Artículo en Inglés | MEDLINE | ID: mdl-34665070

RESUMEN

This work is a qualitative exploratory survey that aims to identify healthcare workers and skilled professionals' perceptions of the Food and Nutrition Surveillance System in the Zona da Mata Mineira region of Brazil. Data analysis was carried out through content analysis; testimonials were extracted from semi-structured interviews via the qualitative data processing software Interface de R pour lês Analyses Multidimensionnelles de Textes et de Questionnaires version 0.7 alpha 2. A total of 41 people were interviewed, including primary healthcare center coordinators, and technical consultants at the Food and Nutrition Surveillance System, as well as nutritionists and data entry clerks. The issues most mentioned during interviews were related to lack of anthropometric equipment, absence of transportation, and inadequate facilities. Regarding the work process, professionals identified scarce training and nonuse of the data collected for healthcare decision-making as factors that compromise desired system outcomes. System qualities were also recognized, especially the mapping of main nutritional issues in the region. The participants reported the need for greater efforts to raise awareness of the importance of Food and Nutrition Surveillance actions at all levels of the public healthcare system. They also highlighted the need for human resources training, higher quality data recording, and suitable facilities. Investments in the entire system are essential to strengthen the information-decision-making-action triad, which would result in the improvement of users' health indicators.


Asunto(s)
Atención a la Salud , Personal de Salud , Brasil/epidemiología , Humanos , Percepción , Encuestas y Cuestionarios
2.
J Nutr Sci ; 9: e4, 2020 01 20.
Artículo en Inglés | MEDLINE | ID: mdl-32042412

RESUMEN

We analysed the coverage trend of the evaluation of the nutritional status of users of public health services registered in the Food and Nutrition Surveillance System (SISVAN) between 2008 and 2017 in seven municipalities and verified the association of the coverage trend with the socio-economic, demographic and organisational aspects of health system variables. It is an ecological time-series study performed with secondary data extracted from health information systems. Descriptive statistics, linear regression model and repeated measures analysis were performed. The coverage of evaluation of nutritional status was low over the period. Five municipalities showed a tendency to increase coverage, although small, while two remained stable. The highest annual variation in coverage increase was concentrated in the group of pregnant women and the lowest in adolescents and older adults. There was a downward trend in follow-ups from the Bolsa Family Programme and a trend towards increased follow-ups from SUS Primary Care (e-SUS AB). SISVAN coverage was positively associated with the proportion of rural population (P ≤ 0·001) and coverage of community health agents (P < 0·001); and negatively associated with total population (P < 0·001), demographic density (P = 0·006) and gross domestic product per capita (P = 0·008). Despite the tendency to increase coverage in some municipalities, SISVAN still presents low coverage of nutritional status assessment, which compromises population monitoring. Knowing the factors that influence the coverage can subsidise the elaboration of strategies for its expansion.


Asunto(s)
Estado Nutricional , Organizaciones , Salud Pública , Regionalización/organización & administración , Factores Socioeconómicos , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Brasil/epidemiología , Niño , Preescolar , Femenino , Programas de Gobierno , Humanos , Lactante , Recién Nacido , Asistencia Médica , Persona de Mediana Edad , Programas Nacionales de Salud/estadística & datos numéricos , Evaluación Nutricional , Embarazo , Atención Primaria de Salud/estadística & datos numéricos , Salud Pública/estadística & datos numéricos , Administración en Salud Pública , Regionalización/estadística & datos numéricos , Adulto Joven
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