[Qualitative evaluation of a participatory process of adaptation of a health promotion guide.] / Evaluación cualitativa de un proceso participativo de adaptación de una guía de promoción de la salud.

OBJECTIVE: In the last decades, in Spain, the interest shown towards community participation in health has been growing. However, there are no evidence-based guidelines to promote community participation in health. For this reason, between 2017 and 2018 the AdaptA GPS project was carried out through 10 working groups from 10 autonomous communities, to adapt the NG44 community participation guide in health from the NICE institute in the United Kingdom to the Spanish context. The objective of this article was to evaluate the adaptation process (the aspects to be improved and the resulting learning) of the AdaptA GPS project through the evaluation of its participants. METHODS: A qualitative evaluation was carried out through two questionnaires with open-ended questions, self-administered in each working group, one by the group coordinator and one by the whole working group (between 6 and 10 people per group), and the answers were analysed thematically. RESULTS: Three main themes were identified that reflect the perspectives of the participants about the adaptation process: positive factors (participatory methodology, collaborative work and diversity of participants), aspects that could be improved (scarce people's participation and lack of funding) and acquired learning (working in network and the importance of promoting research in this field). CONCLUSIONS: The AdaptA GPS project was an innovative project that favored the creation of networks and synergies, fostering co-production thanks to its participatory approach, which has laid the foundations for future collaborative processes of community engagement.

OBJETIVO: En las últimas décadas, en España, el interés mostrado hacia la participación comunitaria en salud ha ido creciendo. Sin embargo, no existen guías basadas en la evidencia para promover la participación comunitaria en salud. Por eso, entre 2017 y 2018 se llevó a cabo el proyecto AdaptA GPS a través de 10 nodos de trabajo en 10 comunidades autónomas, para adaptar al contexto español la guía de participación comunitaria en salud NG44 del instituto NICE de Reino Unido. El objetivo de este artículo fue evaluar el proceso de adaptación (los aspectos a mejorar y los aprendizajes resultantes) del proyecto AdaptA GPS a través de la valoración de sus participantes. METODOS: Se realizó una evaluación cualitativa a través de dos cuestionarios con respuestas abiertas, autoadministrados en cada nodo de trabajo, uno por la persona coordinadora y uno por las personas del nodo (entre 6 y 10 personas por nodo), y se realizó un análisis temático. RESULTADOS: Se identificaron tres temas principales que reflejan las perspectivas de las personas participantes sobre el proceso de adaptación: factores positivos (metodología participativa, trabajo multicéntrico y diversidad de participantes), aspectos mejorables (escasa participación ciudadana y falta de financiación) y aprendizajes adquiridos (trabajo en red y la importancia de impulsar investigaciones en este campo). CONCLUSIONES: El proyecto AdaptA GPS fue un proyecto innovador que favoreció la creación de vínculos y sinergias, fomentando la coproducción gracias a su enfoque participativo, que ha sentado las bases para futuros procesos colaborativos de participación comunitaria.

¿Refleja la historia clínica electrónica los determinantes sociales de la salud desde Atención Primaria? / Does the Electronic Health Record reflect the social determinants of health from Primary Health Care?

OBJETIVO: Analizar si la utilización de códigos Z en la historia clínica electrónica (HCE) se correlaciona con la realidad socioeconómica de la población atendida en Atención Primaria (AP). DISEÑO: Estudio observacional, descriptivo, transversal, de tipo ecológico. Emplazamiento: 90 centros de salud de dos Direcciones Asistenciales de AP, Comunidad de Madrid. PARTICIPANTES: El total de pacientes atendidos durante el año 2016 fue de 1.920.124 (54,33% mujeres, 45,67% hombres). El 7,15% recibió algún código Z (67,29% mujeres, 32,71% hombres). Mediciones principales: Como variable dependiente se estableció la proporción de pacientes con registros de códigos Z en su HCE. Como variables independientes se seleccionaron dos indicadores socioeconómicos que reflejan de forma objetiva las diferencias entre zonas básicas de salud: renta media disponible per cápita y proporción de inmigrantes económicos. Para evaluar la correlación entre variable dependiente e independientes se recurrió a análisis multivariante de correlación-regresión. RESULTADOS: Se observó que a mayor renta disponible, menor proporción de registros de episodios Z en las HCE (coeficiente de correlación de Pearson: -0,56). Sin embargo, existe una gran variabilidad de registro de códigos Z y la codificación no consigue visibilizar las realidades socioeconómicas de las poblaciones atendidas (odds ratio diagnóstica: 0,12 [IC: 0,05-0,32]). CONCLUSIONES: Resulta relevante para una orientación comunitaria de la AP la utilización de distintas herramientas que faciliten visibilizar el impacto en la salud de las desigualdades sociales, así como su evaluación a través de diversas metodologías de investigación. Los códigos Z no visibilizan en la zona estudiada los determinantes sociales de la salud de la población atendida

OBJECTIVE: Analyze whether the use of Z codes in the Electronic Health Record (EHR) correlates with the socioeconomic reality of the population attended. DESIGN: Observational, descriptive, cross-sectional, ecological study. LOCATION: 90 health centres of two Primary Health Care (PHC) Departments of the Community of Madrid. PARTICIPANTS: The total number of patients treated during 2016: 1,920,124 (54.33% women, 45.67% men). The 7.15% received some Z code (67.29% women, 32.71% men). MAIN MEASUREMENTS: As a dependent variable, the proportion of patients with Z code records in their EHRs was established. As independent variable, two socioeconomic indicators were selected that objectively reflect the differences between Basic Health Areas: Average Income Available per capita and Proportion of Economic Immigrants. To evaluate the correlation between dependent and independent variables, a multivariate correlation-regression analysis was used. RESULTS: It was observed that the higher the disposable income, the lower the proportion of Z code records in the EHRs (Pearson correlation coefficient: -0.56). However, there is a great variability in the registration of Z codes and the coding fails to make visible the socio-economic realities of the populations covered (Diagnostic Odds Ratio: 0.12. CI: 0.05-0.32). CONCLUSIONS: The use of different tools that facilitate the visualization of the health impact of social inequalities, as well as their evaluation through various research methodologies, is relevant for a community orientation of the PHC. The Z codes do not make visible in the studied area the social determinants of health of the population attended

[Does the Electronic Health Record reflect the social determinants of health from Primary Health Care?] / ¿Refleja la historia clínica electrónica los determinantes sociales de la salud desde Atención Primaria?

OBJECTIVE: Analyze whether the use of Z codes in the Electronic Health Record (EHR) correlates with the socioeconomic reality of the population attended. DESIGN: Observational, descriptive, cross-sectional, ecological study. LOCATION: 90 health centres of two Primary Health Care (PHC) Departments of the Community of Madrid. PARTICIPANTS: The total number of patients treated during 2016: 1,920,124 (54.33% women, 45.67% men). The 7.15% received some Z code (67.29% women, 32.71% men). MAIN MEASUREMENTS: As a dependent variable, the proportion of patients with Z code records in their EHRs was established. As independent variable, two socioeconomic indicators were selected that objectively reflect the differences between Basic Health Areas: Average Income Available per capita and Proportion of Economic Immigrants. To evaluate the correlation between dependent and independent variables, a multivariate correlation-regression analysis was used. RESULTS: It was observed that the higher the disposable income, the lower the proportion of Z code records in the EHRs (Pearson correlation coefficient: -0.56). However, there is a great variability in the registration of Z codes and the coding fails to make visible the socio-economic realities of the populations covered (Diagnostic Odds Ratio: 0.12. CI: 0.05-0.32). CONCLUSIONS: The use of different tools that facilitate the visualization of the health impact of social inequalities, as well as their evaluation through various research methodologies, is relevant for a community orientation of the PHC. The Z codes do not make visible in the studied area the social determinants of health of the population attended.

La orientación comunitaria de nuestra práctica: hacer y no hacer / Community orientation of our practice: Do and do not do

No disponible

En-red-ando: dialogando sobre salud comunitaria y redes. Informe SESPAS 2018 / Networking: discussing community health and networks. SESPAS Report 2018

Cuatro voces repartidas por España dialogan sobre salud comunitaria y redes, entendiendo que estas son sistemas formados por personas interconectadas, con un interés común, que dan apoyo y sostén. Las redes requieren un espacio común y tiempo, para generar un clima de confianza y respeto que permita un trabajo horizontal. Así se consensua que son estructuras adecuadas para la promoción de la salud, facilitando el intercambio de conocimiento, la colaboración y la innovación a través de la participación de quienes las conforman. La evaluación del trabajo de las redes es importante; se realiza analizando su autonomía, liderazgo, calidad de vínculos, formación, proyección de la red hacia el exterior, capacidad de integrar colectivos y sinergia

Four voices from around Spain discuss community health and networks. These voices understand that the networks are systems formed by interconnected people, with a common interest, that provide support. Networks require a common place and time, in order to generate trust and respect for horizontal work. Thus, networks are appropriate structures for health promotion, facilitating the exchange of knowledge, collaboration and innovation through the participation of those who form them. It is important that networks are evaluated by analysing their autonomy, leadership, quality of links, training, network projection, capacity for integrating groups and synergy

[Networking: discussing community health and networks. SESPAS Report 2018]. / En-red-ando: dialogando sobre salud comunitaria y redes. Informe SESPAS 2018.

Four voices from around Spain discuss community health and networks. These voices understand that the networks are systems formed by interconnected people, with a common interest, that provide support. Networks require a common place and time, in order to generate trust and respect for horizontal work. Thus, networks are appropriate structures for health promotion, facilitating the exchange of knowledge, collaboration and innovation through the participation of those who form them. It is important that networks are evaluated by analysing their autonomy, leadership, quality of links, training, network projection, capacity for integrating groups and synergy.