Diagnostic concordance between Primary Care and Mental Health.

To analyse the diagnostic concordance index between Primary Care and Mental Health.

[Local implementation of the Strategy for Health Promotion and Prevention in the Spanish National Health System. SESPAS Report 2018]. / Implementación local de la Estrategia de Promoción de la Salud y Prevención en el Sistema Nacional de Salud. Informe SESPAS 2018.

Within the framework of the Prevention and Health Promotion Strategy of the Spanish National Health System, local implementation is considered a priority line of action. Local implementation proposes the voluntary commitment of local entities to the Strategy in order to move forward health promotion and prevention through the implementation of two actions: the creation of a coordinating inter-sectoral body and the identification of local resources for health promotion and prevention. The Guideline for the Local Implementation of the Strategy was adopted in 2015 by the Inter-territorial Council of the National Health System. By June 2018, 261 local entities had committed to the Prevention and Health Promotion Strategy, 7072 resources and 9183 activities had been identified, and 132 inter-sectoral bodies had been created.

Associations between chronic conditions, body functions, activity limitations and participation restrictions: a cross-sectional approach in Spanish non-clinical populations.

OBJECTIVES: To analyse the relationships between chronic conditions, body functions, activity limitations and participation restrictions in the International Classification of Functioning, Disability and Health (ICF) framework. DESIGN: A cross-sectional study. SETTING: 2 geographical areas in the Autonomous Region of Aragon, Spain, namely, a rural area, Cinco Villas, and an urban area in the city of Zaragoza. PARTICIPANTS: 864 individuals selected by simple random sampling from the register of Social Security card holders, aged 50 years and over, positive to disability screening. MAIN OUTCOME MEASURES: ICF Checklist-body function domains, WHO Disability Assessment Schedule 2.0 (WHODAS 2.0, 36-item (WHODAS-36)) global scores and medical diagnoses (chronic conditions) from primary care records. RESULTS: Mild disability (WHODAS-36 level 5-24%) was present in 51.5% of the sample. In the adjusted ordinal regression model with WHODAS-36 as the dependent variable, disability was substantially associated with moderate-to-complete impairment in the following functions: mental, OR 212.8 (95% CI 72 to 628.9); neuromusculoskeletal, OR 44.8 (24.2 to 82.8); and sensory and pain, OR 6.3 (3.5 to 11.2). In the relationship between health conditions and body function impairments, the strongest links were seen for: dementia with mental functions, OR 50.6 (25.1 to 102.1); cerebrovascular disease with neuromusculoskeletal function, OR 5.8 (3.5 to 9.7); and chronic renal failure with sensory function and pain, OR 3.0 (1.49 to 6.4). Dementia, OR 8.1 (4.4 to 14.7) and cerebrovascular disease, OR 4.1 (2.7 to 6.4) were associated with WHODAS-36 scores. CONCLUSIONS: Body functions are heterogeneously linked to limitations in activities and restrictions on participation, with the highest impact being due to mental and musculoskeletal functions. This may be relevant for disability assessment and intervention design, particularly if defined on a body function basis. Control of specific health conditions, such as dementia and cerebrovascular disease, appears to be paramount in reducing disability among persons aged 50 years and over.

Evaluation of an education and training intervention to reduce health care waste in a tertiary hospital in Spain.

BACKGROUND: In recent decades there has been a significant increase in waste generation. Training interventions in advanced health care waste management can improve the segregation of regulated medical waste and reduce volume and costs. METHODS: We carried out a quasi-experimental intervention study with before and after training session analysis to compare waste segregation. Descriptive analysis of the segregated health care waste and an evaluation of the quality of segregation were done. A comparison of monthly average waste to assess the effectiveness of the educational intervention was performed. RESULTS: After the intervention, there was a significant reduction in the monthly average health care waste volume of 6.2%. Statistically significant differences in the infectious waste and genotoxic/pharmaceutical waste weight segregated before and after the intervention (P < .05) were found. Because of the health care waste weight reduction and the improvement of waste classification, a savings cost of €125,205 was achieved. CONCLUSIONS: The health care waste management training improves biomedical waste segregation at the hospital, reducing the health care waste volume and costs as an added value.