Effect of the comprehensive smoke-free law on time trends in smoking behaviour in primary healthcare patients in Spain: a longitudinal observational study.

OBJECTIVE: This study aimed to analyse the impact of comprehensive smoke-free legislation (SFL) on the prevalence and incidence of adult smoking in primary healthcare (PHC) patients from three Spanish regions, overall and stratified by sex. DESIGN: Longitudinal observational study conducted between 2008 and 2013. SETTING: 66 PHC teams in Catalonia, Navarre and the Balearic Islands (Spain). PARTICIPANTS: Population over 15 years of age assigned to PHC teams. PRIMARY AND SECONDARY OUTCOMES MEASURES: Quarterly age-standardised prevalence of non-smoker, smoker and ex-smoker and incidence of new smoker, new ex-smoker and ex-smoker relapse rates were estimated with data retrieved from PHC electronic health records. Joinpoint analysis was used to analyse the trends of age-standardised prevalence and incidence rates. Trends were expressed as annual percentage change and average annual percent change. RESULTS: The overall standardised smoker prevalence rate showed a significant downward trend (higher in men than women) and the overall standardised ex-smoker prevalence rate showed a significant increased trend (higher in women than men) in the three regions. Standardised smoker and ex-smoker prevalence rates were higher for men than women in all regions. With regard to overall trends of incidence rates, new smokers decreased significantly in Catalonia and Navarre and similarly in men and women, new ex-smokers decreased significantly and more in men in Catalonia and the Balearic Islands, and ex-smoker relapse increased in Catalonia (particularly in women) and decreased in Navarre. CONCLUSIONS: Trends in smoking behaviour in PHC patients remain unchanged after the implementation of comprehensive SFL. The impact of the comprehensive SFL might have been lessened by the effect of the preceding partial SFL.

Obtaining the mean relative weights of the cost of care in Catalonia (Spain): retrospective application of the adjusted clinical groups case-mix system in primary health care.

OBJECTIVE: The study aims to obtain the mean relative weights (MRWs) of the cost of care through the retrospective application of the adjusted clinical groups (ACGs) in several primary health care (PHC) centres in Catalonia (Spain) in routine clinical practice. METHODS: This is a retrospective study based on computerized medical records. All patients attended by 13 PHC teams in 2008 were included. The principle measurements were: demographic variables (age and sex), dependent variables (number of diagnoses and total costs), and case-mix or co-morbidity variables (International Classification of Primary Care). The costs model for each patient was established by differentiating the fix costs from the variable costs. In the bivariate analysis, the Student's t, analysis of variance, chi-squared, Pearson's linear correlation and Mann-Whitney-Wilcoxon tests were used. In order to compare the MRW of the present study with those of the United States (US), the concordance [intraclass correlation coefficient (ICC) and concordance correlation coefficient (CCC)] and the correlation (coefficient of determination: R²) were measured. RESULTS: The total number of patients studied was 227,235, and the frequentation was 5.9 visits/habitant/year) and with a mean diagnoses number of 4.5 (3.2). The distribution of costs was €148.7 million, of which 29.1% were fixed costs. The mean total cost per patient/year was €654.2 (851.7), which was considered to be the reference MRW. Relationship between study-MRW and US-MRW: ICC was 0.40 [confidential interval (CI) 95%: 0.21-0.60] and the CCC was 0.42 (CI 95%: 0.35-0.49). The correlation between the US MRW and the MRW of the present study can be seen; the adjusted R² value is 0.691. The explanatory power of the ACG classification was 36.9% for the total costs. The R² of the total cost without considering outliers was 56.9%. CONCLUSIONS: The methodology has been shown appropriate for promoting the calculation of the MRW for each category of the classification. The results provide a possible practical application in PHC clinical management.

Adaptive capacity of the Adjusted Clinical Groups Case-Mix System to the cost of primary healthcare in Catalonia (Spain): a observational study.

OBJECTIVES: To describe the adaptive capacity of the Adjusted Clinical Groups (ACG) system to the cost of care in primary healthcare centres in Catalonia (Spain). DESIGN: Retrospective study (multicentres) conducted using computerised medical records. SETTING: 13 primary care teams in 2008 were included. PARTICIPANTS: All patients registered in the study centres who required care between 1 January and 31 December 2008 were finally studied. Patients not registered in the study centres during the study period were excluded. OUTCOME MEASURES: Demographic (age and sex), dependent (cost of care) and case-mix variables were studied. The cost model for each patient was established by differentiating the fixed and variable costs. To evaluate the adaptive capacity of the ACG system, Pearson's coefficient of variation and the percentage of outliers were calculated. To evaluate the explanatory power of the ACG system, the authors used the coefficient of determination (R(2)). RESULTS: The number of patients studied was 227 235 (frequency: 5.9 visits per person per year), with a mean of 4.5 (3.2) episodes and 8.1 (8.2) visits per patient per year. The mean total cost was €654.2. The explanatory power of the ACG system was 36.9% for costs (56.5% without outliers). 10 ACG categories accounted for 60.1% of all cases and 19 for 80.9%. 5 categories represented 71% of poor performance (N=78 887, 34.7%), particularly category 0300-Acute Minor, Age 6+ (N=26 909, 11.8%), which had a coefficient of variation =139% and 6.6% of outliers. CONCLUSIONS: The ACG system is an appropriate manner of classifying patients in routine clinical practice in primary healthcare centres in Catalonia, although improvements to the adaptive capacity through disaggregation of some categories according to age groups and, especially, the number of acute episodes in paediatric patients would be necessary to reduce intra-group variation.

Comparación entre tres métodos de medida de la multimorbilidad en función del uso de recursos sanitarios en atención primaria / Comparison of three methods for measuring multiple morbidity according to the use of health resources in primary healthcare

Objetivo: Comparar 3 diferentes métodos de medida de la multimorbilidad en función del uso de recursos sanitarios (coste de la asistencia) en atención primaria (AP). Diseño: Estudio retrospectivo realizado a partir de registros médicos informatizados. Emplazamiento: En 13 equipos de AP de Cataluña. Participantes: Pacientes adscritos que demandaron atención durante el año 2008. Medidas principales: Variables sociodemográficas, de comorbilidad y de coste. Los métodos de comparación fueron: a) índice de comorbilidad combinado (ICC): se elaboró un índice propio a partir de las puntuaciones de episodios agudos y crónicos; b) índice de Charlson (iCh), y c) índices de casuística de los Adjusted Clinical Groups: bandas de utilización de recursos (BUR). El modelo de costes se estableció diferenciando los costes fijos (funcionamiento de los centros) y los variables. Análisis estadístico: se desarrollaron 3 modelos de regresión lineal para evaluar la capacidad explicativa de cada medida de comorbilidad; que se compararon a partir del coeficiente de determinación (R2), p<0,05. Resultados: Se seleccionaron 227.235 pacientes; el promedio/unitario del coste de la asistencia fue de 654,2 €. El ICC explica un R2=50,4%, el iCh un R2=29,2% y las BUR un R2=39,7% de la variabilidad del coste. El comportamiento del ICC es aceptable, no obstante con puntuaciones bajas (entre 1 y 3 puntos) no se consiguen resultados tan concluyentes. Conclusiones: El ICC se muestra como un sencillo y posible predictor del coste de la asistencia en AP en situación de práctica clínica habitual. De confirmarse estos resultados posibilitarían una mejora en la comparación de la casuística(AU)

Objective: To compare three methods of measuring multiple morbidity according to the use of health resources (cost of care) in primary healthcare (PHC). Design: Retrospective study using computerized medical records. Setting: Thirteen PHC teams in Catalonia (Spain). Participants: Assigned patients requiring care in 2008. Main measurements: The socio-demographic variables were co-morbidity and costs. Methods of comparison were: a) Combined Comorbidity Index (CCI): an index itself was developed from the scores of acute and chronic episodes, b) Charlson Index (ChI), and c) Adjusted Clinical Groups case-mix: resource use bands (RUB). The cost model was constructed by differentiating between fixed (operational) and variable costs. Statistical analysis: 3 multiple lineal regression models were developed to assess the explanatory power of each measurement of co-morbidity which were compared from the determination coefficient (R2), p< .05. Results: The study included 227,235 patients. The mean unit of cost was €654.2. The CCI explained an R2=50.4%, the ChI an R2=29.2% and BUR an R2=39.7% of the variability of the cost. The behaviour of the ICC is acceptable, albeit with low scores (1 to 3 points), showing inconclusive results. Conclusions: The CCI may be a simple method of predicting PHC costs in routine clinical practice. If confirmed, these results will allow improvements in the comparison of the case-mix(AU)

Effectiveness of organizational interventions to reduce emergency department utilization: a systematic review.

BACKGROUND: Emergency department (ED) utilization has dramatically increased in developed countries over the last twenty years. Because it has been associated with adverse outcomes, increased costs, and an overload on the hospital organization, several policies have tried to curb this growing trend. The aim of this study is to systematically review the effectiveness of organizational interventions designed to reduce ED utilization. METHODOLOGY/PRINCIPAL FINDINGS: We conducted electronic searches using free text and Medical Subject Headings on PubMed and The Cochrane Library to identify studies of ED visits, re-visits and mortality. We performed complementary searches of grey literature, manual searches and direct contacts with experts. We included studies that investigated the effectiveness of interventions designed to reduce ED visits and the following study designs: time series, cross-sectional, repeated cross-sectional, longitudinal, quasi-experimental studies, and randomized trial. We excluded studies on specific conditions, children and with no relevant outcomes (ED visits, re-visits or adverse events). From 2,348 potentially useful references, 48 satisfied the inclusion criteria. We classified the interventions in mutually exclusive categories: 1) Interventions addressing the supply and accessibility of services: 25 studies examined efforts to increase primary care physicians, centers, or hours of service; 2) Interventions addressing the demand for services: 6 studies examined educational interventions and 17 examined barrier interventions (gatekeeping or cost). CONCLUSIONS/SIGNIFICANCE: The evidence suggests that interventions aimed at increasing primary care accessibility and ED cost-sharing are effective in reducing ED use. However, the rest of the interventions aimed at decreasing ED utilization showed contradictory results. Changes in health care policies require rigorous evaluation before being implemented since these can have a high impact on individual health and use of health care resources. Systematic review registration: http://www.crd.york.ac.uk/PROSPERO. Identifier: CRD420111253.

La investigación en atención primaria como área de conocimiento. Informe SESPAS 2012 / Research in primary care as an area of knowledge. SESPAS Report 2012

La atención primaria de salud ofrece grandes oportunidades para la investigación. Constituye un área de conocimiento propio, que es necesario desarrollar para mejorar la calidad de sus servicios y la salud de los pacientes. Estas oportunidades son únicas para la investigación clínica de base poblacional, con un enfoque de promoción de la salud y de prevención de la enfermedad, ya sea primaria, secundaria o terciaria. Es prioritario investigar en el desarrollo del modelo biopsicosocial de atención, nuevos modelos de atención integrada y atención comunitaria. Cabe destacar la actividad y la estructura generada por la Red de Investigación en Actividades Preventivas y de Promoción de la Salud (redIAPP), que ha atraído a su alrededor gran parte de la actividad investigadora en atención primaria de salud en nuestro país. A pesar del esfuerzo de diversas instituciones y fundaciones, así como de unidades docentes y de investigación, el desarrollo de la investigación no ha alcanzado el volumen, la relevancia, la calidad y el impacto deseables. La presencia de los profesionales de atención primaria de salud en las estructuras de investigación sigue siendo escasa, y la inversión en proyectos y líneas de investigación propias es pobre. Para poder invertir esta situación se precisa una serie de medidas: consolidar estructuras organizativas de apoyo específicas, con adecuada dotación de personal y recursos económicos; facilitar que los profesionales puedan compatibilizar su labor clínica con una dedicación específica a la investigación, para que elaboren proyectos relevantes y consoliden líneas de investigación estables de contenidos acordes con el área de conocimiento propio, y que se apliquen a la mejora de la calidad y a la innovación de los servicios de atención primaria de salud (AU)

Primary care offers huge potential for research. This setting is an area of knowledge that must expand to improve the quality of its services and patients’ health. Population-based clinical studies with a focus on health promotion and primary, secondary and tertiary disease prevention offer unique research opportunities. Developing research in the biopsychosocial model of clinical practice and new models of integrated healthcare and community care is therefore a priority. The framework and activities carried out by the Research Network in Preventive Activities and Health Promotion have been instrumental in the development of research in primary care in Spain. Despite the efforts invested by various institutions, foundations, teaching and research departments in primary care research, the projected outputs in terms of volume, quality and impact have not been achieved. The involvement of primary care professionals in research platforms is insufficient, with scarce contribution toward investment in specific primary care research projects. To change the current status of research in primary care, a number of measures are required, namely, the consolidation of research organisms specific to primary care with adequate allocation of funding and staff, and the allocation of specific time for research to primary care professionals to enable them to produce significant projects and consolidate established research lines in their areas of expertise, with applications mainly in quality improvement and innovation of primary care services (AU)

[Research in primary care as an area of knowledge. SESPAS Report 2012]. / La investigación en atención primaria como área de conocimiento. Informe SESPAS 2012.

Primary care offers huge potential for research. This setting is an area of knowledge that must expand to improve the quality of its services and patients' health. Population-based clinical studies with a focus on health promotion and primary, secondary and tertiary disease prevention offer unique research opportunities. Developing research in the biopsychosocial model of clinical practice and new models of integrated healthcare and community care is therefore a priority. The framework and activities carried out by the Research Network in Preventive Activities and Health Promotion have been instrumental in the development of research in primary care in Spain. Despite the efforts invested by various institutions, foundations, teaching and research departments in primary care research, the projected outputs in terms of volume, quality and impact have not been achieved. The involvement of primary care professionals in research platforms is insufficient, with scarce contribution toward investment in specific primary care research projects. To change the current status of research in primary care, a number of measures are required, namely, the consolidation of research organisms specific to primary care with adequate allocation of funding and staff, and the allocation of specific time for research to primary care professionals to enable them to produce significant projects and consolidate established research lines in their areas of expertise, with applications mainly in quality improvement and innovation of primary care services.

[Comparison of three methods for measuring multiple morbidity according to the use of health resources in primary healthcare]. / Comparación entre tres métodos de medida de la multimorbilidad en función del uso de recursos sanitarios en atención primaria.

OBJECTIVE: To compare three methods of measuring multiple morbidity according to the use of health resources (cost of care) in primary healthcare (PHC). DESIGN: Retrospective study using computerized medical records. SETTING: Thirteen PHC teams in Catalonia (Spain). PARTICIPANTS: Assigned patients requiring care in 2008. MAIN MEASUREMENTS: The socio-demographic variables were co-morbidity and costs. Methods of comparison were: a) Combined Comorbidity Index (CCI): an index itself was developed from the scores of acute and chronic episodes, b) Charlson Index (ChI), and c) Adjusted Clinical Groups case-mix: resource use bands (RUB). The cost model was constructed by differentiating between fixed (operational) and variable costs. STATISTICAL ANALYSIS: 3 multiple lineal regression models were developed to assess the explanatory power of each measurement of co-morbidity which were compared from the determination coefficient (R(2)), p< .05. RESULTS: The study included 227,235 patients. The mean unit of cost was €654.2. The CCI explained an R(2)=50.4%, the ChI an R(2)=29.2% and BUR an R(2)=39.7% of the variability of the cost. The behaviour of the ICC is acceptable, albeit with low scores (1 to 3 points), showing inconclusive results. CONCLUSIONS: The CCI may be a simple method of predicting PHC costs in routine clinical practice. If confirmed, these results will allow improvements in the comparison of the case-mix.

Análisis de la disminución de la mortalidad por enfermedad coronaria en una población mediterránea: España 1988-2005 / Analyzing the coronary heart disease mortality decline in a mediterranean population: Spain 1988-2005

Introducción y objetivos. Examinar el grado en que la disminución de las tasas de mortalidad por cardiopatía isquémica en España entre 1988 y 2005 podría explicarse por cambios en los factores de riesgo cardiovascular y por el uso de tratamientos médicos y quirúrgicos. Métodos. Se utilizó el modelo IMPACT previamente validado para combinar y analizar datos de las tendencias en la prevalencia de factores de riesgo y el uso y la efectividad de tratamientos cardiacos basados en la evidencia, entre varones y mujeres adultos de 35-74 años de edad. Las principales fuentes de datos incluyeron estadísticas oficiales de mortalidad, resultados de estudios longitudinales, encuestas nacionales, ensayos clínicos aleatorizados y metaanálisis. La diferencia entre las muertes coronarias observadas y esperadas en 2005 se distribuyó entre los tratamientos y los factores de riesgo. Resultados. Desde 1988 a 2005, la tasa de mortalidad ajustada por edad cayó un 40%, y hubo 8.530 muertes menos en 2005. Aproximadamente el 47% de la caída en la mortalidad se ha atribuido a los tratamientos. Los abordajes que contribuyeron en mayor medida fueron el tratamiento en fase aguda de los síndromes coronarios (11%), la prevención secundaria (10%) y el tratamiento de la insuficiencia cardiaca (9%). El 50% de la reducción de la mortalidad se ha atribuido a cambios en los factores de riesgo. El mayor beneficio en la mortalidad viene de los cambios en el colesterol total (cerca de un 31% de la caída de la mortalidad) y de la presión arterial sistólica (cerca de un 15%). Pero se observaron importantes diferencias entre sexos en las tendencias de los factores de riesgo: se incrementó la diabetes mellitus y la obesidad entre los varones y la prevalencia del consumo de tabaco entre las mujeres jóvenes, lo cual produjo muertes adicionales. Conclusiones. Aproximadamente la mitad del descenso en la mortalidad coronaria en España se ha atribuido a la reducción de los principales factores de riesgo y la otra mitad, a los tratamientos basados en la evidencia. Estos resultados incrementan la comprensión de tendencias pasadas y ayudarán a planificar futuras estrategias preventivas y de tratamientos en poblaciones con bajo riesgo (AU)

Introduction and objectives. To examine the extent to which the decrease in mortality rates in Spain between 1988 and 2005 could be explained by changes in cardiovascular risk factors and by the use of medical and surgical treatments. Methods. We used the previously validated IMPACT model to examine the contributions of exposure factors (risk factors and treatments) to the main outcome, changes in the mortality rates of death from coronary heart disease, among adults 35 to 74 years of age. Main data sources included official mortality statistics, results of longitudinal studies, national surveys, randomized controlled trials, and meta-analyses. The difference between observed and expected coronary heart disease deaths in 2005 was then partitioned between treatments and risk factors. Results. From 1988 to 2005, the age-adjusted coronary heart disease mortality rates fell by almost 40%, resulting in 8530 fewer coronary heart disease deaths in 2005. Approximately 47% of the fall in deaths was attributed to treatments. The major treatment contributions came from initial therapy for acute coronary syndromes (11%), secondary prevention (10%), and heart failure (9%). About 50% of the fall in mortality was attributed to changes in risk factors. The largest mortality benefit came from changes in total cholesterol (about 31% of the mortality fall) and in systolic blood pressure (about 15%). However, some substantial gender differences were observed in risk factor trends with an increase in diabetes and obesity in men and an increase in smoking in young women. These generated additional deaths. Conclusions. Approximately half of the coronary heart disease mortality fall in Spain was attributable to reductions in major risk factors, and half to evidence-based therapies. These results increase understanding of past trends and will help to inform planning for future prevention and treatment strategies in low-risk populations (AU)

[Analyzing the coronary heart disease mortality decline in a Mediterranean population: Spain 1988-2005]. / Análisis de la disminución de la mortalidad por enfermedad coronaria en una población mediterránea: España 1988-2005.

INTRODUCTION AND OBJECTIVES: To examine the extent to which the decrease in coronary heart disease mortality rates in Spain between 1988 and 2005 could be explained by changes in cardiovascular risk factors and by the use of medical and surgical treatments. METHODS: We used the previously validated IMPACT model to examine the contributions of exposure factors (risk factors and treatments) to the main outcome, changes in the mortality rates of death from coronary heart disease, among adults 35 to 74 years of age. Main data sources included official mortality statistics, results of longitudinal studies, national surveys, randomized controlled trials, and meta-analyses. The difference between observed and expected coronary heart disease deaths in 2005 was then partitioned between treatments and risk factors. RESULTS: From 1988 to 2005, the age-adjusted coronary heart disease mortality rates fell by almost 40%, resulting in 8530 fewer coronary heart disease deaths in 2005. Approximately 47% of the fall in deaths was attributed to treatments. The major treatment contributions came from initial therapy for acute coronary syndromes (11%), secondary prevention (10%), and heart failure (9%). About 50% of the fall in mortality was attributed to changes in risk factors. The largest mortality benefit came from changes in total cholesterol (about 31% of the mortality fall) and in systolic blood pressure (about 15%). However, some substantial gender differences were observed in risk factor trends with an increase in diabetes and obesity in men and an increase in smoking in young women. These generated additional deaths. CONCLUSIONS: Approximately half of the coronary heart disease mortality fall in Spain was attributable to reductions in major risk factors, and half to evidence-based therapies. These results increase understanding of past trends and will help to inform planning for future prevention and treatment strategies in low-risk populations.

The relationship between effectiveness and costs measured by a risk-adjusted case-mix system: multicentre study of Catalonian population data bases.

BACKGROUND: The main objective of this study is to measure the relationship between morbidity, direct health care costs and the degree of clinical effectiveness (resolution) of health centres and health professionals by the retrospective application of Adjusted Clinical Groups in a Spanish population setting. The secondary objectives are to determine the factors determining inadequate correlations and the opinion of health professionals on these instruments. METHODS/DESIGN: We will carry out a multi-centre, retrospective study using patient records from 15 primary health care centres and population data bases. The main measurements will be: general variables (age and sex, centre, service [family medicine, paediatrics], and medical unit), dependent variables (mean number of visits, episodes and direct costs), co-morbidity (Johns Hopkins University Adjusted Clinical Groups Case-Mix System) and effectiveness.The totality of centres/patients will be considered as the standard for comparison. The efficiency index for visits, tests (laboratory, radiology, others), referrals, pharmaceutical prescriptions and total will be calculated as the ratio: observed variables/variables expected by indirect standardization.The model of cost/patient/year will differentiate fixed/semi-fixed (visits) costs of the variables for each patient attended/year (N = 350,000 inhabitants). The mean relative weights of the cost of care will be obtained. The effectiveness will be measured using a set of 50 indicators of process, efficiency and/or health results, and an adjusted synthetic index will be constructed (method: percentile 50).The correlation between the efficiency (relative-weights) and synthetic (by centre and physician) indices will be established using the coefficient of determination. The opinion/degree of acceptance of physicians (N = 1,000) will be measured using a structured questionnaire including various dimensions. STATISTICAL ANALYSIS: multiple regression analysis (procedure: enter), ANCOVA (method: Bonferroni's adjustment) and multilevel analysis will be carried out to correct models. The level of statistical significance will be p < 0.05.