The unemployment effects of closing non-essential activities during the COVID-19 lockdown: The Spanish municipalities.

We study the labour market impact of the confinement measures implemented in Spain to halt the spread of the COVID-19 pandemic in the first quarter of 2020. We use data from 8108 municipalities to quantify the impact of the shutdown of non-essential activity on local unemployment. Ordinary least squares regressions show that an increment of 10 percentage points in the share of firms performing non-essential activities increased the unemployment-population ratio by between 0.032 and 0.148 percentage points. We only find this positive effect in municipalities with more than 2395 inhabitants. The lockdown explains between 25% and 40% of the observed increase in the unemployment within these municipalities. We also look at the impact of the lockdown by gender and age, and find that the impact of these closures was felt relatively more by males and workers above 45 years old.

Analysis of the geographic pattern of the police reports for domestic violence in Girona (Spain).

BACKGROUND: There are many studies that address the issue of gender-based violence, but few analyse the police-reported cases. It is as important to analyse the temporal and geographic distribution of these incidents as it is the sociodemographic profile of the accuser. To this effect, the present study aims to analyse the sociodemographic profile of the victims of the particular case of domestic violence that report the incident to the police and to evaluate the spatial-temporal distribution of these reports. METHODS: Using the data from a database containing the police-reported incidents of domestic violence in Girona in the period 2012-2018, the risk of a police-reported incident was estimated by adjusting the two-part Hurdle model. RESULTS: The risk of reporting incidents of domestic violence to the police is higher in the less deprived areas of the city, and the spatial distribution of these police reports corroborate this finding. Nevertheless, those areas with the greatest socio-economic deprivation were also the ones where there were less police reports filed. Also the prediction of less police reports in the census tract with the highest percentage of the population with an insufficient educational level coincides with the largest number of police reports made by women with a medium and university level education (56.1%) compared with 9.5% of police reports made by women with insufficient schooling. CONCLUSIONS: These results can be useful for social protection services to design policies specifically aimed at women residing in those areas with the highest risk. Moreover, the use of spatial statistical techniques together with geographic information systems tools is a good strategy to analyse domestic violence and other types of offences because they not only allow to graphically identify the spatial distribution, but it is also a good tool to identify problems related to this type of offence.

Factors determining family planning in Catalonia. Sources of inequity.

INTRODUCTION: In recent decades, the foreign population in Spain has increased significantly, particularly for Catalonia, an autonomous region of Spain (2.90% in 2000 and 15.95% in 2010) and in particular Girona province (6.18% in 2000 and 21.55% in 2010). Several studies have shown a lower use of family planning methods by immigrants. This same trend is observed in Spain. The objective of this paper is to determine the existence of differences and possible sources of inequity in the use of family planning methods among health service users in Catalonia (Spain) by sex, health status, place of birth and socioeconomic conditions. METHODS: Data were taken from an ad-hoc questionnaire which was compiled following a qualitative stage of individual interviews. Said questionnaire was administered to 1094 Catalan public health service users during 2007. A complete descriptive analysis was carried out for variables related to public health service users' sociodemographic characteristics and variables indicating knowledge and use of family planning methods, and bivariate relationships were analysed by means of chi-square contrasts. Considering the use (or non-use) of family planning methods as a dependent variable and a set of demographic, socioeconomic and health status variables as explanatory factors, the relationship was modelled using mixed models. RESULTS: The analysed sample is comprised of 54.3% women and 45.7% men, with 74.3% natives (or from the EU) and 25.7% economic immigrants. 54.8% use some method of family planning, the condom (46.7%) and the pill (28.0%) being the two most frequently used methods. Statistical modelling indicates that those factors which most influence the use of family planning methods are level of education (30.59% and 39.29% more likelihood) and having children over 14 (35.35% more likelihood). With regard to the origin of the user, we observe that patients from North Africa,sub. Saharan Africa and Asia are less likely to use family planning methods (36.68%, 38.59% and 70.51%, respectively). CONCLUSIONS: The use of family planning methods is positively related to a higher level of education and having children over 14. Factors such as sex, age, income and self-perceived health do not appear to influence their use. Furthermore, being a native of this country, the European Union or Central/South America represents a greater likelihood of use than being African or Asian. Although no general differences in use were found between sexes, the difference found in the case of Asian women stands out, with a higher likelihood of use.

Factors determining access to and use of primary health care services in the Girona Health Region (Spain).

BACKGROUND: Increased population flowing from abroad has generated an intense debate regarding the economic consequences of migration in public services such as health, where new and specific demands are being created. This new demand for health care gives rise to the need to identify those factors which influence the user's decision to contact the health services and those which determine the quantity of services consumed. The aim of this study is to identify which variables affect these two stages of the use of such services in the Girona Health Region (RSG), where immigrant population represents 21.96% of the total population. METHODS: Specification of a Hurdle model with a count response variable related to primary health care service visits in the RSG for 2006. The study data is based on a sample of users (immigrants and natives) taken from the population assigned to primary health care services in eight Basic Health Areas (ABS) of the RSG. RESULTS: Contacting primary health care services is associated with variables that ought to affect use of health care such as chronic illness and taking prescribed medication as well as being aged between 46 and 55. Using primary health care services once makes users more likely to make further visits. The number of visits is related not only with variables that ought affect use of health care but also with variables that ought not to affect use of health care such as working without a contract, living in rented accommodation, or being unemployed. Additionally, if we consider the birthplace of the user, we observe the same pattern, with different directions and intensities, depending on the origin of the patient. For example, a higher likelihood of first contact is shown in Eastern Europeans, South Americans, and North Africans that suffer from cholesterol. A higher attendance is observed in natives and Eastern Europeans that take prescribed medication as well as natives, Eastern Europeans, and North Africans living in rented accommodation. On the other hand, working without a contract supposes a higher attendance in natives but a lower attendance in Eastern Europeans and sub-Saharan Africans. CONCLUSIONS: We do not detect any socioeconomic barriers associated with making a first contact with primary health services for the users analyzed. However, we do note evidence of horizontal inequity in terms of attending health services, related to variables that ought to affect use of health care as well as socioeconomic factors (variables that ought not to affect use of health care). The user's origin is an important key in detecting different intensities of access and regular visits to primary health care services.

[Measurement of morbidity attended in an integrated health care organization]. / La medida de la morbilidad atendida en una organización sanitaria integrada.

INTRODUCTION: Understanding the quality, costs and outcomes of healthcare services requires precise determination of the morbidity in a population. Measurement of morbidity in a population and its association with the services provided remains to be performed. The aim of this article was to present our experience of using clinical risk groups (CRGs) to measure morbidity in an integrated healthcare organization (IHO). METHODS: We studied the population attended by an IHO in a county (approximately 120,000 patients) from 2002 to 2005. CRGs were used to measure morbidity. A descriptive analysis was performed of the population's distribution in CRG categories and utilization rates. RESULTS: One or more chronic diseases was found in 15.5% of the population, significant acute illness was found in 9%, minor chronic diseases was found in 7% and very severe diseases was found in 0.5%. Between 2002 and 2005, the number of individuals with chronic disease increased by 8%. The burden of illness increased with age. However, at all ages, at least 40% of the population remained healthy. Comorbidity in chronic illnesses was a crucial factor in explaining healthcare resource utilization. CONCLUSIONS: The CRG grouping system aids analysis at different levels for clinical administration. Due to its composition, this system allows better understanding of the use, costs and quality of the set of services received by a population.

La medida de la morbilidad atendida en una organización sanitaria integrada / Measurement of morbidity attended in an integrated health care organization

Introducción: La comprensión de la calidad, los costes y los resultados de los servicios de salud obliga a conocer con precisión la morbilidad de la población. La medida de la morbilidad atendida en una población y su relación con los servicios recibidos es una tarea pendiente. El objetivo de este artículo es presentar la experiencia de utilización de los grupos de riesgo clínico (clinical risk groups [CRG]) como sistema de medida de la morbilidad atendida en una organización sanitaria integrada (OSI). Métodos: Se estudia la población de una comarca (unas 120.000 personas) atendida por una OSI durante los años 2002¿2005. Se utilizan los CRG como sistema de medida de la morbilidad poblacional. Se efectúa un análisis descriptivo de las diferentes posibilidades de utilización que ofrece este sistema. Resultados: El 15,5% de la población presenta una o más enfermedades crónicas dominantes, un 9% presenta enfermedades agudas significativas, un 7% presenta enfermedades crónicas menores y un 0,5% enfermedades muy graves. Entre 2002 y 2005, en un 8% de la población se identifica la aparición de alguna enfermedad crónica. La carga de enfermedad se incrementa con la edad, pero en cualquier grupo de edad al menos un 40% de las personas permanecen sanas. La comorbilidad en enfermedades crónicas es un factor determinante en la explicación del consumo de recursos sanitarios. Conclusiones: Los CRG son una herramienta que facilita el análisis a diferentes niveles para la gestión clínica y, por su configuración, permiten una mejor comprensión de la utilización, los costes y la calidad del conjunto de servicios recibidos por una población(AU)

Introduction: Understanding the quality, costs and outcomes of healthcare services requires precise determination of the morbidity in a population. Measurement of morbidity in a population and its association with the services provided remains to be performed. The aim of this article was to present our experience of using clinical risk groups (CRGs) to measure morbidity in an integrated healthcare organization (IHO). Methods: We studied the population attended by an IHO in a county (approximately 120,000 patients) from 2002 to 2005. CRGs were used to measure morbidity. A descriptive analysis was performed of the population's distribution in CRG categories and utilization rates. Results: One or more chronic diseases was found in 15.5% of the population, significant acute illness was found in 9%, minor chronic diseases was found in 7% and very severe diseases was found in 0.5%. Between 2002 and 2005, the number of individuals with chronic disease increased by 8%. The burden of illness increased with age. However, at all ages, at least 40% of the population remained healthy. Comorbidity in chronic illnesses was a crucial factor in explaining healthcare resource utilization. Conclusions: The CRG grouping system aids analysis at different levels for clinical administration. Due to its composition, this system allows better understanding of the use, costs and quality of the set of services received by a population(AU)