Multimorbidity, social determinants and intersectionality in chronic patients. Results from the EpiChron Cohort.

Background: Multimorbidity is influenced in an interconnected way, both in extent and nature, by the social determinants of health. We aimed at implementing an intersectional approach to analyse the association of multimorbidity with five important axes of social inequality (i.e. gender, age, ethnicity, residence area and socioeconomic class). Methods: We conducted a cross-sectional observational study of all individuals who presented with at least one chronic disease in 2019 (n = 1 086 948) from the EpiChron Cohort (Aragon, Spain). Applying intersectional analysis, the age-adjusted likelihood of multimorbidity was investigated across 36 intersectional strata defined by gender, ethnicity, residence area and socioeconomic class. We calculated odds ratios (OR) 95% confidence interval (CI) using high-income urban non-migrant men as the reference category. The area under the receiver operator characteristics curve (AUC) was calculated to evaluate the discriminatory accuracy of multimorbidity. Results: The prevalence of multimorbidity increased with age, female gender and low income. Young and middle-aged low-income individuals showed rates of multimorbidity equivalent to those of high-income people aged about 20 years older. The intersectional analysis showed that low-income migrant women living in urban areas for >15 years were particularly disadvantaged in terms of multimorbidity risk OR = 3.16 (95% CI = 2.79-3.57). Being a migrant was a protective factor for multimorbidity, and newly arrived migrants had lower multimorbidity rates than those with >15 years of stay in Aragon, and even non-migrants. Living in rural vs. urban areas was slightly protective against multimorbidity. All models had a large discriminatory accuracy (AUC = 0.7884-0.7895); the largest AUC was obtained for the model including all intersectional strata. Conclusions: Our intersectional approach uncovered the large differences in the prevalence of multimorbidity that arise due to the synergies between the different socioeconomic and demographic exposures, beyond their expected additive effects.

Residential Environment Assessment by Older Adults in Nursing Homes during COVID-19 Outbreak.

The most vulnerable residential settings during the COVID-19 pandemic were older adult's nursing homes, which experienced high rates of incidence and death from this cause. This paper aims to ascertain how institutionalized older people assessed their residential environment during the pandemic and to examine the differences according to personal and contextual characteristics. The COVID-19 Nursing Homes Survey (Madrid region, Spain) was used. The residential environment assessment scale (EVAER) and personal and contextual characteristics were selected. Descriptive and multivariate statistical analysis were applied. The sample consisted of 447 people (mean age = 83.8, 63.1% = women, 50.8% = widowed, 40% = less than primary studies). Four residential assessment subscales (relationships, mobility, residential aspects, privacy space) and three clusters according to residential rating (medium-high with everything = 71.5% of cases, low with mobility = 15.4%, low with everything = 13.1%) were obtained. The logistic regression models for each cluster category showed to be statistically significant. Showing a positive affect (OR = 1.08), fear of COVID-19 (OR = 1.06), high quality of life (OR = 1.05), not having suspicion of depression (OR = 0.75) and performing volunteer activities (OR = 3.67) were associated with the largest cluster. It is concluded that a better residential evaluation was related to more favourable personal and contextual conditions. These results can help in the design of nursing homes for older adults in need of accommodation and care to facilitate an age-friendly environment.

Maternal Mortality in Africa: Regional Trends (2000-2017).

BACKGROUND: United Nations Sustainable Development Goals state that by 2030, the global maternal mortality rate (MMR) should be lower than 70 per 100,000 live births. MMR is still one of Africa's leading causes of death among women. The leading causes of maternal mortality in Africa are hemorrhage and eclampsia. This research aims to study regional trends in maternal mortality (MM) in Africa. METHODS: We extracted data for maternal mortality rates per 100,000 births from the United Nations Children's Fund (UNICEF) databank from 2000 to 2017, 2017 being the last date available. Joinpoint regression was used to study the trends and estimate the annual percent change (APC). RESULTS: Maternal mortality has decreased in Africa over the study period by an average APC of -3.0% (95% CI -2.9; -3,2%). All regions showed significant downward trends, with the greatest decreases in the South. Only the North African region is close to the United Nations' sustainable development goals for Maternal mortality. The remaining Sub-Saharan African regions are still far from achieving the goals. CONCLUSIONS: Maternal mortality has decreased in Africa, especially in the South African region. The only region close to the United Nations' target is the North African region. The remaining Sub-Saharan African regions are still far from achieving the goals. The West African region needs more extraordinary efforts to achieve the goals of the United Nations. Policies should ensure that all pregnant women have antenatal visits and give birth in a health facility staffed by specialized personnel.

Response Mapping Methods to Estimate the EQ-5D-5L From the Western Ontario McMaster Universities Osteoarthritis in Patients With Hip or Knee Osteoarthritis.

OBJECTIVES: The mapping technique can estimate generic preference-based measure scores through a specific measure that cannot be used in economic evaluations. This study compared 2 response mapping methods to estimate EQ-5D-5L scores using the Western Ontario McMaster Universities Osteoarthritis (WOMAC). METHODS: The sample consisted of 758 patients with the hip or knee osteoarthritis recruited in baseline. Bayesian networks (BN) and multinomial logistic regression (ML) were used as response mapping models. Predictions were obtained using the 6-month follow-up as a validation sample. The mean absolute error, mean squared error, deviation from the root mean squared error and intraclass correlation coefficient were calculated as precision measures. RESULTS: There was 5.5% of missing data, which was removed. The mean age was 69.6 years (standard deviation = 10.5), with 61.6% of women. The BN model presented lower mean absolute error, mean squared error, root mean squared error and higher intraclass correlation coefficient than the ML model. Only the WOMAC items pain and physical function items were related with the EQ-5D-5L dimensions. CONCLUSION: BN response mapping models are more robust methods, with better prediction results, than ML models. The BN model also provided a graphic representation of the dependency relationships between the EQ-5D-5L dimensions and the different WOMAC items that could be useful in the clinical investigation of patients with hip or knee osteoarthritis.

Embarrassment and Shame in People With Parkinson's Disease: A New Tool for Self-Assessment.

Shame and embarrassment related to Parkinson's disease (PD) are rarely addressed in clinical practice nor studied in neuroscience research, partly because no specific tool exists to detect them in PD. Objective: To develop a self-applied assessment tool of shame and embarrassment specifically related to PD or its treatment, to promptly identify the presence and severity of these two emotions in PD. Methods: Identification and selection of relevant items were obtained from the collection of PD patients' opinions during support groups and interviews. Several further items were added following a literature review. Subsequently, a two-phase pilot study was performed for identification of ambiguous items and omissions, and to obtain preliminary data on acceptability, reliability, validity and relevance of the new scale (SPARK). Results: A total of 105 PD patients were enrolled in the study. Embarrassment was reported in 85% of patients, while shame was present in 26%. Fifteen percent of patients did not describe any shame or embarrassment. On average, the intensity of these two emotions was low with a marked floor effect in SPARK items and subscales. However, SPARK total score inter-individual variability was important (range 1-84 out of 99). Acceptability and quality of data were satisfactory with no floor or ceiling effects (2.9% each) or missing data. Internal consistency (Cronbach's alpha) was 0.94 for total score and 0.73-0.87 for subscales. The scale correlated ≥0.60 with instruments measuring related constructs. Content validity was satisfactory. SPARK total score strongly correlated with impaired health-related quality of life (rS = 0.81), the propensity to feel embarrassed or ashamed (rS = 0.68 and 0.66, respectively), and anxiety (rS = 0.72) and depression (rS = 0.63) levels. Moderate to high correlations were observed between SPARK total score and apathy (rS = 0.46) and a more pronounced personality trait directed toward harm avoidance (rS = 0.46). No significant differences in SPARK scores were found by sex, education level, PD duration, Hoehn and Yahr stages or PD phenotype. Conclusion: Preliminary analysis of psychometric properties suggests that SPARK could be an acceptable and reliable instrument for assessing shame and embarrassment in PD. SPARK could help healthcare professionals to identify and characterize PD-induced shame and embarrassment.

Comorbidity in an Older Population with Type-2 Diabetes Mellitus: Identification of the Characteristics and Healthcare Utilization of High-Cost Patients.

Objectives: Little is known about the specific comorbidities contributing to higher costs in patients with type-2 diabetes mellitus (T2DM), particularly in older cases. We aimed to evaluate the prevalence, type, and cost of comorbidities occurring in older T2DM patients versus older non-T2DM patients, and the factors associated with high cost (HC) T2DM patients. Methods: Retrospective cohort study using information from the Campania Region healthcare database. People aged ≥65 years who received ≥2 prescriptions for antidiabetic drugs were identified as "T2DM patients." Comorbidities among T2DM and non-T2DM groups were assessed through the RxRiskV Index (modified version). T2DM individuals were classified according to the total cost distribution as HC or "non-high cost." Two sub-cohorts of HC T2DM patients were assessed: above 90th and 80th percentile of the total cost. Age- and sex-adjusted logistic regression models were created. Results: Among the T2DM cohort, concordant and discordant comorbidities occurred significantly more frequently than in the non-T2DM cohort. Total mean annual cost per T2DM patient due to comorbidities was €7,627 versus €4,401 per non-T2DM patient. Among T2DM patients identified as being above 90th and 80th percentiles of cost distribution, the total annual costs were >€19,577 and >€2,563, respectively. The hospitalization cost was higher for T2DM cases. Strongest predictors of being a HC T2DM patient were having ≥5 comorbidities and renal impairment. Conclusion: HC patients accrued >80% of the total comorbidities cost in older T2DM patients. Integrated care models, with holistic and patient-tailored foci, could achieve more effective T2DM care.

The Disease Burden Morbidity Assessment in older adults and its association with mortality and other health outcomes.

The objective of this study was to assess how disease burden caused by chronic conditions is related to mortality (predictive validity) and other health outcomes (convergent validity). This was studied in 625 community-dwelling adults living in Spain aged 65 years and older. Disease burden was measured with the Disease Burden Morbidity Assessment (DBMA). The association with 5-year mortality was assessed using a Cox model and Kaplan-Meier curves. For convergent validity, mean age, sex ratio, patient-centered outcomes and healthcare utilization were compared for high and low DBMA scores (< 10 vs. ≥ 10). Also, a multivariable linear regression model was used to evaluate the DBMA as a function of these variables. Mean DBMA score in our sample was 7.5. After 5 years, 35 participants had died (5.5%). The Cox model displayed a hazard ratio of 1.07, and the Kaplan-Meier curves showed lower survival for high DBMA scores. Among participants with high DBMA scores, low self-perceived health, disability and female sex were more frequent, and this group showed lower mean scores for quality of life (Personal Wellbeing Index), affect balance (Scale of Positive and Negative Experience) and physical activity (Yale Physical Activity Survey), higher mean age and higher healthcare utilization than persons with low DBMA scores. In the multivariable regression, all variables but age were significantly associated with the DBMA. In conclusion, the DBMA showed satisfactory predictive and convergent validity. In our aging society, it can be applied to better understand and improve care for older persons with multiple chronic conditions.

Rasch Analysis and Construct Validity of the Disease Burden Morbidity Assessment in Older Adults.

Purpose of the Study: The Disease Burden Morbidity Assessment (DBMA) is a self-report questionnaire in which participants rate the disease burden caused by a number of medical conditions. This paper studies the measurement properties of the DBMA, using Rasch analysis. Design and Methods: We used data of 1,400 community-dwelling adults aged 50 years and older participating in the Ageing in Spain Longitudinal Study, Pilot Survey (ELES-PS). Test of fit to the Rasch model, reliability, unidimensionality, response dependency, category structure, scale targeting, and differential item functioning (DIF) were studied in an iterative way. Construct validity of the linear measure provided by the Rasch analysis was subsequently assessed. Results: To achieve an adequate fit to the Rasch model, all items were rescored by collapsing response categories. Reliability (Person Separation Index) was low. The scale was unidimensional and neither response dependency nor relevant DIF were found. The linear measure had a correlation of -0.48 with physical functioning, -0.47 with perceived health, 0.32 with depression, and -0.24 with quality of life (QoL) and displayed satisfactory known-groups validity by sex and age groups. Relative precision analysis showed that the linear measure discriminated better between age groups than the original raw score, but for sex no difference was found. Implications: Despite some limitations, support was found for the validity of the DBMA in older adults. Its linear scores may be useful to assess strategies aimed at improving the QoL of patients with multimorbidity. More research is needed in a hospital-based sample.

Disease burden morbidity assessment by self-report: Psychometric properties in older adults in Spain.

AIM: To carry out an analysis of the psychometric properties of the Disease Burden Morbidity Assessment (DBMA) according to the assumptions of the Classical Test Theory. METHODS: A sample of 707 community-dwelling adults aged 65 years and older, living in Spain, completed the DBMA. Psychometric properties of the scale (feasibility, acceptability, scaling assumptions, reliability and construct validity) were analyzed. RESULTS: The mean DBMA score was 6.8. Feasibility and acceptability were satisfactory, except for large floor effects (>50%), as well as a skewed distribution (1.8). Item-total corrected correlation ranged 0.10-0.49, item homogeneity index was 0.09 and Cronbach's alpha was 0.72. Disease burden correlated strongly with physical functioning (r = -0.56) and perceived health (r = -0.56), and moderately with depression (r = 0.41) and the Personal Wellbeing Index (r = -0.41). Exploratory factor analysis extracted five factors, explaining 44% of the variance. CONCLUSIONS: The DBMA is an acceptable and valid instrument for measuring disease burden in older adults. Future studies should include Rasch analysis to further assess dimensionality and explore other measurement properties. Geriatr Gerontol 2017; 17: 1102-1108.

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.

Effectiveness of comprehensive care programs for patients with multiple chronic conditions or frailty: A systematic literature review.

OBJECTIVE: To describe comprehensive care programs targeting multimorbid and/or frail patients and to estimate their effectiveness regarding improvement of patient and caregiver related outcomes, healthcare utilization and costs. METHODS: Systematic search in six electronic databases for scientific papers published between January 2011 and March 2014, supplemented by reference tracking. Wagner's Chronic Care Model (CCM) was used to operationalize comprehensive care. The quality of the included studies was assessed, and a best-evidence synthesis was applied. RESULTS: Nineteen publications were included describing effects of eighteen comprehensive care programs for multimorbid or frail patients, of which only one was implemented in a European country. Programs varied in target groups, settings, interventions and number of CCM components addressed. Providing comprehensive care might result in more patient satisfaction, less depressive symptoms, a better health-related quality of life or functioning of multimorbid or frail patients, but the evidence is insufficient. There is no evidence that comprehensive care reduces the number of primary care or GP visits or healthcare costs. Regarding the use of inpatient care, the evidence was insufficient. No evidence was found for a beneficial effect of comprehensive care on caregiver-related outcomes. CONCLUSION: Despite the fact that over the years several (good-quality) studies have been performed to estimate the value of comprehensive care for multimorbid and/or frail patients, evidence for their effectiveness remains insufficient. More good-quality studies and/or studies allowing meta-analysis are needed to determine which specific target groups at what moment will benefit from comprehensive care. Moreover, evaluation studies could improve by using more appropriate outcome measures, e.g. measures that relate to patient-defined (personal) goals of care.

The patient satisfaction questionnaire of EUprimecare project: measurement properties.

OBJECTIVE: The measurement of patient satisfaction is considered an essential outcome indicator to evaluate health care quality. Patient satisfaction is considered a multi-dimensional construct, which would include a variety of domains. Although a large number of studies have proposed scales to measure patient satisfaction, there is a lack of psychometric information on them. This study aims to describe the psychometric properties of the Primary Care Satisfaction Scale (PCSS) of the EUprimecare project. DESIGN: A cross-sectional survey of patient satisfaction with primary care was carried out by telephone interview. SETTING: Primary care services of Estonia, Finland, Germany, Hungary, Lithuania, Italy and Spain. PARTICIPANTS: A total of 3020 adult patients aged 18-65 years old attending primary care services. METHOD: Classic psychometric properties were analysed and Rasch analysis was used to assess the following measurement properties: fit to the Rasch model; uni-dimensionality; reliability; differential item functioning (DIF) by gender, age, civil status, area of residency and country; local independency; adequacy of response scale; and scale targeting. RESULTS: To achieve good fit to the Rasch model, the original response scales of three items (1, 2 and 6) were rescored and Item 3 (waiting time in the room) was removed. The scale was uni-dimensional and Person Separation Index was 0.79, indicating a good reliability. All items were free from bias. PCSS linear measure displayed satisfactory convergent validity with overall satisfaction with primary care. CONCLUSIONS: PCSS, as a reliable and valid scale, could be used to measure patient satisfaction in primary care in Europe.

Parkinson Symptoms and Health Related Quality of Life as Predictors of Costs: A Longitudinal Observational Study with Linear Mixed Model Analysis.

OBJECTIVE: To estimate the magnitude in which Parkinson's disease (PD) symptoms and health- related quality of life (HRQoL) determined PD costs over a 4-year period. MATERIALS AND METHODS: Data collected during 3-month, each year, for 4 years, from the ELEP study, included sociodemographic, clinical and use of resources information. Costs were calculated yearly, as mean 3-month costs/patient and updated to Spanish €, 2012. Mixed linear models were performed to analyze total, direct and indirect costs based on symptoms and HRQoL. RESULTS: One-hundred and seventy four patients were included. Mean (SD) age: 63 (11) years, mean (SD) disease duration: 8 (6) years. Ninety-three percent were HY I, II or III (mild or moderate disease). Forty-nine percent remained in the same stage during the study period. Clinical evaluation and HRQoL scales showed relatively slight changes over time, demonstrating a stable group overall. Mean (SD) PD total costs augmented 92.5%, from € 2,082.17 (€ 2,889.86) in year 1 to € 4,008.6 (€ 7,757.35) in year 4. Total, direct and indirect cost incremented 45.96%, 35.63%, and 69.69% for mild disease, respectively, whereas increased 166.52% for total, 55.68% for direct and 347.85% for indirect cost in patients with moderate PD. For severe patients, cost remained almost the same throughout the study. For each additional point in the SCOPA-Motor scale total costs increased € 75.72 (p = 0.0174); for each additional point on SCOPA-Motor and the SCOPA-COG, direct costs incremented € 49.21 (p = 0.0094) and € 44.81 (p = 0.0404), respectively; and for each extra point on the pain scale, indirect costs increased € 16.31 (p = 0.0228). CONCLUSIONS: PD is an expensive disease in Spain. Disease progression and severity as well as motor and cognitive dysfunctions are major drivers of costs increments. Therapeutic measures aimed at controlling progression and symptoms could help contain disease expenses.

Estimating the direct and indirect costs associated with Parkinson's disease.

Parkinson's disease (PD) is a progressive, neurodegenerative disorder whose symptoms and manifestations greatly deteriorate the health, functional status and quality of life of patients, has severe consequences on their families and caregivers and supposes a challenge for the healthcare system and society. The aim of this paper is to comprehensively and descriptively review studies on the economic impact of the disease and interventions, analyzing major contributing factors to direct and indirect costs in PD. Cost-of-illness studies have shown that costs of PD are high, mainly due to drug, hospitalization and productivity loss, and tend to increase as the disease progresses. Studies on PD treatment have suggested that therapies for advanced PD (levodopa/carbidopa intestinal gel and apomorphine) and surgical procedures are cost-effective and cost saving, despite their high expenditures; however, further research such as on the economic impact of non-motor manifestations or on the cost-effectiveness of non-medical interventions is still needed.

Neuropsychiatric symptoms and caregiver's burden in Parkinson's disease.

INTRODUCTION: In Parkinson's disease (PD), neuropsychiatric symptoms (NPS) can be particularly burdensome for caregivers. The main goal of this study was to assess the impact of NPS, assessed by means of a new specific scale, on caregiver burden. METHODS: A sample of 584 pairs of PD patients and their primary caregivers was studied. Patients' NPS were measured with the Scale for Evaluation of Neuropsychiatric Disorders in PD (SEND-PD), and the Zarit Caregiver Burden Inventory was used to quantify caregiver burden. Three linear regression models were built to check factors associated with caregiver burden, one for the total sample and two for subgroups stratified by the presence of dementia. RESULTS: The most frequent NPS were depression (in 66% of the sample), anxiety (65%) and mental fatigue (57%). Patients with dementia (n = 94; 16% of sample) consistently presented more NPS than patients without dementia (p < 0.001). On linear regression models, the main determinants of caregiver burden (for the total sample and the sample of patients without dementia) were SEND-PD dimensions mood/apathy and psychosis, PD-related disability and disease duration. For patients with dementia, the only significant caregiver burden determinants were SEND-PD psychosis and mood/apathy subscale scores. CONCLUSIONS: NPS in PD are highly associated with and are determinants of caregiver burden, and are more prevalent and burdensome in patients with dementia. Detailed assessment and specific interventions aimed at NPS could alleviate caregiver burden.

Individual's perspective of local community environment and health indicators in older adults.

AIM: This study evaluated the relationship between individual's perspective of local community environment and health in older people. METHODS: A survey about quality of life in older adults in Spain was applied to a representative sample of 1106 community-dwelling people (mean age±SD = 72.07±7.83 years, 43.67% males). Local community (Community Wellbeing Index, neighborhood problems, time in the neighborhood), psychosocial and sociodemographic measures were considered. Four health outcomes (self-perceived health status, functional independence, depression and number of chronic medical conditions) were studied. Multivariate logistic analyses were carried out. RESULTS: At least two local community measures were independently associated with each health outcome. Satisfaction with community services significantly contributed to all models; it was positively related with self-rated health and functional independence, and negatively associated with depression and chronic medical conditions. CONCLUSION: The individual's perspective of the local community environment was associated with health outcomes in older adults. This can be useful in the development of policies committed to promoting social integration and active aging in the community.

Self-perceived health status in older adults: regional and sociodemographic inequalities in Spain / Estado de saúde percebido em idosos: desigualdades regionais e sociodemográficas na Espanha / Estado de salud percibido en ancianos: disparidades regionales y sociodemográficas en España

OBJECTIVE: To assess regional and sociodemographic differences in self-perceived health status among older adults. METHODS: A face-to-face quality of life survey was conducted in a representative sample of the Spanish population comprising 1,106 non-institutionalized elderly aged 60 or more in 2008. Logistic regression models were used to explain self-perceived health status according to the EuroQol Group Visual Analogue Scale (EQ-VAS). Independent variables included sociodemographic and health characteristics as well as the nomenclature of territorial units for statistics level 1 (NUTS1: group of autonomous regions) and level 2 (NUTS 2: autonomous regions). RESULTS: Younger and better off respondents were more likely to have a positive self-perceived health status. Having no chronic conditions, independence in performing daily living activities and lower level of depression were also associated with positive self-perceived health status. People living in the south of Spain showed a more negative self-perceived health status than those living in other regions. CONCLUSION: The study results point to health inequality among Spanish older adults of lower socioeconomic condition and living in the south of Spain. The analysis by geographic units allows for international cross-regional comparisons.

OBJETIVO: Analisar as diferenças regionais e sociodemográficas no estado de saúde percebido por adultos mais velhos. MÉTODOS: Realizou-se um inquérito de qualidade de vida mediante entrevista pessoal com amostra representativa da população espanhola de 1.106 pessoas com 60 e mais anos não institucionalizadas, em 2008. Aplicaram-se modelos de regressão logística para explicar a saúde percebida segundo a escala visual analógica do EuroQol Group (EQ-VAS). As variáveis independentes incluíram características sociodemográficas e de saúde, assim como unidades territoriais estatísticas de nível 1 (grupo de comunidades autônomas) e nível 2 (comunidades autônomas). RESULTADOS: Os participantes dos grupos mais jovens e os que tinham uma melhor situação econômica mostraram maior probabilidade de ter uma percepção positiva da sua saúde. A ausência de problemas crônicos de saúde, a independência para realizar atividades da vida diária e menor nível de depressão também se associaram positivamente à saúde percebida como boa. Os idosos que viviam no sul mostraram uma percepção mais negativa da saúde do que as que vivem noutras regiões. CONCLUSÕES: Os resultados indicam uma desigualdade relativa no estado de saúde dos adultos mais velhos de níveis socioeconômicos inferiores e dos habitantes do sul do país. A análise por unidades territoriais estatísticas permite estabelecer comparações entre regiões em nível internacional.

OBJETIVO: Analizar las diferencias regionales y sociodemográficas en el estado de salud percibido por ancianos. MÉTODOS: Se realizó una encuesta de calidad de vida mediante entrevista personal en una muestra representativa de la población española de 1.106 personas con 60 y más años no institucionalizadas en 2008. Se aplicaron modelos de regresión logística para explicar la salud percibida de acuerdo con la escala visual analógica del EuroQol Group (EQ-VAS). Las variables independientes incluyeron características sociodemográficas y de salud, así como unidades territoriales estadísticas de nivel 1 (NUTS1: grupos de comunidades autónomas), y nivel 2 (NUTS2: comunidades autónomas). RESULTADOS: Los participantes de ambos grupos, el de los más jóvenes y los que tenían una mejor situación económica, mostraron mayor probabilidad de tener una percepción positiva de la salud. La ausencia de problemas crónicos de salud, la independencia para desarrollar actividades de la vida diaria y un menor nivel de depresión también se asociaron positivamente a la salud percibida como buena. Los ancianos que vivían en el sur mostraron una percepción más negativa de su salud que aquellos que vivían en otras regiones. CONCLUSIONES: Los resultados muestran desigualdad relativa en el estado de salud de los ancianos de niveles socioeconómicos inferiores y en los habitantes del sur del país. El análisis estadístico por unidades territoriales permite establecer comparaciones entre regiones en nivel internacional.

Self-perceived health status in older adults: regional and sociodemographic inequalities in Spain.

OBJECTIVE: To assess regional and sociodemographic differences in self-perceived health status among older adults. METHODS: A face-to-face quality of life survey was conducted in a representative sample of the Spanish population comprising 1,106 non-institutionalized elderly aged 60 or more in 2008. Logistic regression models were used to explain self-perceived health status according to the EuroQol Group Visual Analogue Scale (EQ-VAS). Independent variables included sociodemographic and health characteristics as well as the nomenclature of territorial units for statistics level 1 (NUTS1: group of autonomous regions) and level 2 (NUTS 2: autonomous regions). RESULTS: Younger and better off respondents were more likely to have a positive self-perceived health status. Having no chronic conditions, independence in performing daily living activities and lower level of depression were also associated with positive self-perceived health status. People living in the south of Spain showed a more negative self-perceived health status than those living in other regions. CONCLUSION: The study results point to health inequality among Spanish older adults of lower socioeconomic condition and living in the south of Spain. The analysis by geographic units allows for international cross-regional comparisons.

Quality of life and burden in caregivers for patients with Parkinson's disease: concepts, assessment and related factors.

Caregivers of Parkinson's disease patients face responsibilities stemming from providing assistance to a person, usually a family member, who suffers a progressively disabling disease characterized by both motor and nonmotor symptoms. These circumstances impact on the physical, emotional and psychosocial aspects of the caregivers' lives and, therefore, on their quality of life (QoL). Studies have identified factors related to caregivers' global QoL and health-related QoL, causing caregivers distress and affecting their QoL. These factors are related to patients' and caregivers' characteristics and may be classified as sociodemographic, psychological and disease related. Caregiver's burden refers to the multiplicity of difficulties ensuing as a consequence of caring, including, for example, health problems, modification of habits, economic loss and QoL deterioration. Therefore, burden-related factors are also briefly reviewed. The implementation of effective interventions to preserve the caregiver's wellbeing and allow the patients to remain at home and be properly assisted is a pragmatic consequence of this knowledge.