Construcción de un índice de privación para los barrios de Madrid y Barcelona

Arco, Débora Álvarez-del; Sánchez, M.; Alejos, Belén; Pascual, Cruz; Regidor, Enrique

doi:10.4321/s1135-57272013000400003

Cited by 15 publications

(7 citation statements)

References 22 publications

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“…This centre is located in the Chamartín district in the northern area at the city of Madrid. It had a population of 143,424 with an average age of 45 years (23% > 65 years); 55% are women, 8.9% are foreigners, and the neighborhood has a low degree of socioeconomic deprivation [ 22 , 23 ]. The study period was between June 2015 and June 2016.…”

Section: Methodsmentioning

confidence: 99%

Use of primary and hospital care health services by chronic patients according to risk level by adjusted morbidity groups

Cortés

Soria-Ruiz-Ogarrio

Martínez-Cuevas

et al. 2021

BMC Health Serv Res

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Background Patients with chronic diseases have increased needs for assistance and care. The objective of this study was to describe the characteristics and use of primary care (PC) and hospital care (HC) health services by chronic patients according to risk level based on adjusted morbidity groups (AMG) and to analyze the associated factors. Methods Cross-sectional descriptive observational study. Patients from a basic health area classified as chronically ill by the AMG classification system of the Madrid PC electronic medical record were included. Sociodemographic, clinical-care characteristics (classified as predisposing factors or need factors) and service utilization variables were collected. Univariate, bivariate and simple linear regression analyses were performed. Results The sample consisted of 9866 chronic patients and 8332 (84.4%) used health services. Of these service users, 63% were women, mean age was 55.7 (SD = 20.8), 439 (5.3%) were high risk, 1746 (21.2%) were medium risk, and 6041(73.4%) were low risk. A total of 8226 (98.7%) were PC users, and 4284 (51.4%) were HC users. The average number of annual contacts with PC was 13.9 (SD = 15); the average number of contacts with HC was 4.8 (SD = 6.2). Predisposing factors associated with services utilization at both care levels were: age (B coefficient [BC] = 0.03 and 0.018, 95% CI = 0.017–0.052 and 0.008–0.028, respectively, for PC and HC) and Spanish origin (BC = 0.962 and 3.396, 95% CI = 0.198–1.726 and 2.722–4.070); need factors included: palliative care (BC = 10,492 and 5047; 95% CI = 6457–14,526 and 3098-6995), high risk (BC = 4631 and 2730, 95% CI = 3022–6241 and 1.949–3.512), number of chronic diseases (BC = 1.291 and 0.222, 95% CI = 1.068–1.51 and 0.103–0.341) and neoplasms (BC = 2.989 and 4.309, 95% CI = 1.659–4.319 and 3.629–4.989). Conclusions The characteristics and PC and HC service utilization of chronic patients were different and varied according to their AMG risk level. There was greater use of PC services than HC services, although utilization of both levels of care was high. Service use was related to predisposing factors such as age and country of origin and, above all, to need factors such as immobility, high risk, and number and type of chronic diseases that require follow-up and palliative care.

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Section: Methodsmentioning

confidence: 99%

Use of primary and hospital care health services by chronic patients according to risk level by adjusted morbidity groups

Cortés

Soria-Ruiz-Ogarrio

Martínez-Cuevas

et al. 2021

BMC Health Serv Res

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“…Regarding the limitations, on the one hand, the basic health area was a neighbourhood with a mediumhigh socioeconomic level (MEDEA deprivation index in quartile 1) [22], which can make the population more likely to have double insurance that would reduce the use of health services of the public health system. However, more than 90% of people living in Madrid visited PC in 2015 [34].…”

Section: Discussionmentioning

confidence: 99%

“…This health centre treated a total population of 18,107, of whom 3,863 were older than 65 years as of June 30, 2015. This district had a total population of 143,424 people, a mean age of 45 years (23% over 65), 55% women, 8.9% foreigners, and a MEDEA deprivation index located in quartile 1, which corresponds to the neighbourhoods with the lowest degree of deprivation in Madrid [22].…”

Section: Methodsmentioning

confidence: 99%

Chronic Diseases in the Geriatric Population: Morbidity and use of Primary Care Services According to Risk Level.

Cortés¹,

Reguillo²,

Beca-Martínez

et al. 2021

Preprint

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Background: Geriatric patients have significant morbidity and greater needs for care and assistance. The objective of this study was to describe the characteristics, morbidity, and use of services in primary care (PC) of patients with chronic diseases older than 65 years according to their risk level assigned by the adjusted morbidity groups (AMG) and to analyse the factors associated with the use of PC services.Methods: This was a cross-sectional descriptive observational study. Patients older than 65 years from a basic health area, classified as chronically ill by the AMG classification system of the PC electronic medical record of the Community of Madrid, were included. Sociodemographic, clinical-care, and PC service utilization variables were collected. Univariate, bivariate and multivariate analyses were done.Results: A total of 3,292 chronic patients older than 65 years were identified, of whom 1,628 (49.5%) were low risk, 1,293 (39.3%) were medium risk and 371 (11.3%) were high risk. Their mean age was 78.1 (SD=8.1) years and 2,167 (65.8%) were women. Their mean number of chronic diseases was 3.8 (SD=2), 89.4% had multimorbidity and 1,550 (47.1%) were polymedicated. The mean number of contacts/year with PC was 19.5 (SD=18.2) [men: 19.4 (SD=19.8); women: 19.5 (SD=17.4)]. The mean number of contacts/year in people over 85 years was 25.2 (SD=19.6); in people 76-85 years old, it was 22.1 (SD= 20.3); and in people 66-75 years old, it was 14.5 (SD=13.9). The factors associated with greater use of services were age (B coefficient [BC]= 0.3; 95%CI= 0.2 – 0.4), high risk level (BC=1.9; 95%CI =0.4 – 3.2), weight of complexity (BC=0.7; 95%CI=0.5 – 0.8), and ≥ 4 chronic diseases (BC=0.7; 95%CI=0.3 – 1.1).Conclusions: In the geriatric population, we found a high number of patients with chronic diseases and there were three levels of risk by AMG with differences in characteristics, morbidity, and use of PC services. The greatest use of services was by patients with older age, high risk level, greater weight of complexity and ≥ 4 chronic diseases. Further research is needed to develop an intervention model more adapted to the reality of the geriatric population based on risk levels by AMG.

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“…It should be stressed that, in general, socio-economic factors were better indicators of risk in the case of Barcelona than in that of Madrid. This might be due to the administrative reorganisation of the city of Barcelona, implemented in 2007, which divided it into neighbourhoods created on the basis of sociological criteria, [40]. In Madrid, in contrast, districts are administrative divisions of the city; hence, rather than being constructs devised for the purpose of grouping together neighbouring areas with similar characteristics, they are units having a certain degree of internal homogeneity, [40].…”

Section: Discussionmentioning

confidence: 99%

Sports facilities, socio-economic context and overweight among the childhood population in two southern European cities: a cross sectional study

et al. 2019

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Background To evaluate relationship between socio-economic environment and overweight in Madrid and Barcelona, adjusting for possible confounding factors. Methods We obtained three indicators which reflected socio-economic context, namely, unemployment rate, percentage of population with tertiary education, and percentage with a second home. The design is a cross sectional study. The association with overweight was estimated using odds ratios by multilevel logistic regression. The statistical analysis, data synthesis, or model creation was performed from the 2017. In all, 707 children from 21 districts of Madrid and 474 children from 10 districts of Barcelona were analysed. Results In Madrid, standardised ORs for personal and family characteristics were 1.17, 1.53 and 1.57 by reference to unemployment rate and percentages of population with a university education and second home. After adjustment, only the OR obtained with unemployment rate decreased, specifically by 58%. In Barcelona, the following ORs were obtained: 1.80 with unemployment rate; 1.80 with population having a university education; and 1.86 with population having a second home. After being standardised, these ORs decreased by 14% in the case of unemployment rate, 10% in the case of population with a university education, and 9% in the case of population with a second home. Conclusions Overweight displayed a risk gradient in Madrid and Barcelona alike. This risk of overweight is not accounted for by physical inactivity and could, in part, be due to the availability of sports facilities.

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Construcción de un índice de privación para los barrios de Madrid y Barcelona

Abstract: Premature mortality rates showed higher premature mortality in the most deprived districts.

Cited by 15 publications

References 22 publications

Use of primary and hospital care health services by chronic patients according to risk level by adjusted morbidity groups

Use of primary and hospital care health services by chronic patients according to risk level by adjusted morbidity groups

Chronic Diseases in the Geriatric Population: Morbidity and use of Primary Care Services According to Risk Level.

Sports facilities, socio-economic context and overweight among the childhood population in two southern European cities: a cross sectional study

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