23 resultados para person centered care

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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L'any 2011 la malaltia d'Alzheimer es situava com la quarta causa de mort més freqüent amb un augment de fins a 11.907, més del doble de morts que l'any 2000 (INE). Aquestes dades demostren l'augment del número de persones que pateixen una demència a mesura que envelleixen i una de les explicacions és l'augment de l'esperança de vida. Per aquest motiu l'estudi de la qualitat de vida ha adquirit una gran importància des de la dècada dels 90. La qualitat de vida és un concepte especialment subjectiu pel fet que cada persona la viu segons la pròpia percepció de salut i benestar i el grau d'adaptació a l'entorn que l'envolta. Per aquest motiu es planteja un programa de psicoestimulació integral (PPI) centrat en les individualitats de cada persona: valors, interessos, història ocupacional..., des de la filosofia de la Teràpia Ocupacional. El projecte està elaborat mitjançant la metodologia qualitativa utilitzant l'enquesta en profunditat semi-estructurada per a realitzar les entrevistes i obtenir la informació principal a l'inici i al final del programa juntament amb tota la informació que s'obtingui de l'observació participant del dia a dia de cada un dels professionals per tal d'estudiar fins a quin punt aquesta atenció centrada en la persona contribueix a millorar la qualitat de vida de les persones afectades de Malaltia d'Alzheimer que reben tractaments no farmacològics com el proposat en aquest projecte. Com a tot estudi es poden trobar alguns factors condicionants com pot ser l'evolució pròpia de la malaltia amb les conseqüències negatives que això comporta i/o el número de participants que formen la mostra.

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Informal care is today the form of support most commonly used by those who need other peoplein order to carry out certain activities that are considered basic (eating, dressing, taking a shower,etc.), in Spain and in most other countries in the region. The possible labour opportunity costsincurred by these informal carers, the vast majority of whom are middle-aged women, have not asyet been properly quantified in Spain. It is, however, crucially important to know these quantities ata time when public authorities appear to be determined to extend the coverage offered up to nowas regards long-term care.In this context, we use the Spanish subsample of the European Community Household Panel (1994-2001) to estimate a dynamic ordered probit and so attempt to examine the effects of various typesof informal care on labour behaviour. The results obtained indicate the existence of labouropportunity costs for those women who live with the dependent person they care for, but not forthose who care for someone outside the household. Furthermore, whereas caregiving for morethan a year has negative effects on labour force participation, the same cannot be said of those who start caregiving and stop caregiving .

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We propose an innovative, integrated, cost-effective health system to combat major non-communicable diseases (NCDs), including cardiovascular, chronic respiratory, metabolic, rheumatologic and neurologic disorders and cancers, which together are the predominant health problem of the 21st century. This proposed holistic strategy involves comprehensive patient-centered integrated care and multi-scale, multi-modal and multi-level systems approaches to tackle NCDs as a common group of diseases. Rather than studying each disease individually, it will take into account their intertwined gene-environment, socio-economic interactions and co-morbidities that lead to individual-specific complex phenotypes. It will implement a road map for predictive, preventive, personalized and participatory (P4) medicine based on a robust and extensive knowledge management infrastructure that contains individual patient information. It will be supported by strategic partnerships involving all stakeholders, including general practitioners associated with patient-centered care. This systems medicine strategy, which will take a holistic approach to disease, is designed to allow the results to be used globally, taking into account the needs and specificities of local economies and health systems.

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We propose an innovative, integrated, cost-effective health system to combat major non-communicable diseases (NCDs), including cardiovascular, chronic respiratory, metabolic, rheumatologic and neurologic disorders and cancers, which together are the predominant health problem of the 21st century. This proposed holistic strategy involves comprehensive patient-centered integrated care and multi-scale, multi-modal and multi-level systems approaches to tackle NCDs as a common group of diseases. Rather than studying each disease individually, it will take into account their intertwined gene-environment, socio-economic interactions and co-morbidities that lead to individual-specific complex phenotypes. It will implement a road map for predictive, preventive, personalized and participatory (P4) medicine based on a robust and extensive knowledge management infrastructure that contains individual patient information. It will be supported by strategic partnerships involving all stakeholders, including general practitioners associated with patient-centered care. This systems medicine strategy, which will take a holistic approach to disease, is designed to allow the results to be used globally, taking into account the needs and specificities of local economies and health systems.

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BACKGROUND: In the context of population aging, visual impairment has emerged as a growing concern in public health. However, there is a need for further research into the relationship between visual impairment and chronic medical conditions in the elderly. The aim of our study was to examine the relationship between visual impairment and three main types of co-morbidity: chronic physical conditions (both at an independent and additive level), mental health and cognitive functioning. METHODS: Data were collected from the COURAGE in Europe project, a cross-sectional study. A total of 4,583 participants from Spain were included. Diagnosis of chronic medical conditions included self-reported medical diagnosis and symptomatic algorithms. Depression and anxiety were assessed using CIDI algorithms. Visual assessment included objective distance/near visual acuity and subjective visual performance. Descriptive analyses included the whole sample (n = 4,583). Statistical analyses included participants aged over 50 years (n = 3,625; mean age = 66.45 years) since they have a significant prevalence of chronic conditions and visual impairment. Crude and adjusted binary logistic regressions were performed to identify independent associations between visual impairment and chronic medical conditions, physical multimorbidity and mental conditions. Covariates included age, gender, marital status, education level, employment status and urbanicity. RESULTS: The number of chronic physical conditions was found to be associated with poorer results in both distance and near visual acuity [OR 1.75 (CI 1.38-2.23); OR 1.69 (CI 1.27-2.24)]. At an independent level, arthritis, stroke and diabetes were associated with poorer distance visual acuity results after adjusting for covariates [OR 1.79 (CI 1.46-2.21); OR 1.59 (CI 1.05-2.42); OR 1.27 (1.01-1.60)]. Only stroke was associated with near visual impairment [OR 3.01 (CI 1.86-4.87)]. With regard to mental health, poor subjective visual acuity was associated with depression [OR 1.61 (CI 1.14-2.27); OR 1.48 (CI 1.03-2.13)]. Both objective and subjective poor distance and near visual acuity were associated with worse cognitive functioning. CONCLUSIONS: Arthritis, stroke and the co-occurrence of various chronic physical diseases are associated with higher prevalence of visual impairment. Visual impairment is associated with higher prevalence of depression and poorer cognitive function results. There is a need to implement patient-centered care involving special visual assessment in these cases.

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BACKGROUND: In the context of population aging, multimorbidity has emerged as a growing concern in public health. However, little is known about multimorbidity patterns and other issues surrounding chronic diseases. The aim of our study was to examine multimorbidity patterns, the relationship between physical and mental conditions and the distribution of multimorbidity in the Spanish adult population. METHODS: Data from this cross-sectional study was collected from the COURAGE study. A total of 4,583 participants from Spain were included, 3,625 aged over 50. An exploratory factor analysis was conducted to detect multimorbidity patterns in the population over 50 years of age. Crude and adjusted binary logistic regressions were performed to identify individual associations between physical and mental conditions. RESULTS: THREE MULTIMORBIDITY PATTERNS ROSE: 'cardio-respiratory' (angina, asthma, chronic lung disease), 'mental-arthritis' (arthritis, depression, anxiety) and the 'aggregated pattern' (angina, hypertension, stroke, diabetes, cataracts, edentulism, arthritis). After adjusting for covariates, asthma, chronic lung disease, arthritis and the number of physical conditions were associated with depression. Angina and the number of physical conditions were associated with a higher risk of anxiety. With regard to multimorbidity distribution, women over 65 years suffered from the highest rate of multimorbidity (67.3%). CONCLUSION: Multimorbidity prevalence occurs in a high percentage of the Spanish population, especially in the elderly. There are specific multimorbidity patterns and individual associations between physical and mental conditions, which bring new insights into the complexity of chronic patients. There is need to implement patient-centered care which involves these interactions rather than merely paying attention to individual diseases.

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The Person Trade-Off (PTO) is a methodology aimed at measuring thesocial value of health states. The rest of methodologies would measure individualutility and would be less appropriate for taking resource allocation decisions.However few studies have been conducted to test the validity of the method.We present a pilot study with this objective. The study is based on theresult of interviews to 30 undergraduate students in Economics. We judgethe validity of PTO answers by their adequacy to three hypothesis of rationality.First, we show that, given certain rationality assumptions, PTO answersshould be predicted from answers to Standard Gamble questions. This firsthypothesis is not verified. The second hypothesis is that PTO answersshould not vary with different frames of equivalent PTO questions. Thissecond hypothesis is also not verified. Our third hypothesis is that PTOvalues should predict social preferences for allocating resources betweenpatients. This hypothesis is verified. The evidence on the validity of themethod is then conflicting.

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Background: The aim of this research was to characterize the experience of living with diabetes mellitus (DM) and identify patients" opinions of the quality of care received and the results of interventions. Methods: A descriptive, exploratory evaluation study using qualitative methodology was performed. Participants consisted of 40 adult patients diagnosed with DM and followed up in a public hospital in Barcelona, Spain. A semistructured interview and a focus group were used and a thematic content analysis was performed. Results: Patients described DM as a disease that is difficult to control and that provokes lifestyle changes requiring effort and sacrifice. Insulin treatment increased the perception of disease severity. The most frequent and dreaded complication was hypoglycemia. The main problems perceived by patients affecting the quality of care were related to a disease-centered medical approach, lack of information, limited participation in decision-making, and the administrative and bureaucratic problems of the health care system. Conclusion: The bureaucratic circuits of the health care system impair patients" quality of life and perceived quality of care. Health professionals should foster patient participation in decision-making. However, this requires not only training and appropriate attitudes, but also adequate staffing and materials.

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Background: The aim of this research was to characterize the experience of living with diabetes mellitus (DM) and identify patients" opinions of the quality of care received and the results of interventions. Methods: A descriptive, exploratory evaluation study using qualitative methodology was performed. Participants consisted of 40 adult patients diagnosed with DM and followed up in a public hospital in Barcelona, Spain. A semistructured interview and a focus group were used and a thematic content analysis was performed. Results: Patients described DM as a disease that is difficult to control and that provokes lifestyle changes requiring effort and sacrifice. Insulin treatment increased the perception of disease severity. The most frequent and dreaded complication was hypoglycemia. The main problems perceived by patients affecting the quality of care were related to a disease-centered medical approach, lack of information, limited participation in decision-making, and the administrative and bureaucratic problems of the health care system. Conclusion: The bureaucratic circuits of the health care system impair patients" quality of life and perceived quality of care. Health professionals should foster patient participation in decision-making. However, this requires not only training and appropriate attitudes, but also adequate staffing and materials.

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We explore the determinants of usage of six different types of health care services, using the Medical Expenditure Panel Survey data, years 1996-2000. We apply a number of models for univariate count data, including semiparametric, semi-nonparametric and finite mixture models. We find that the complexity of the model that is required to fit the data well depends upon the way in which the data is pooled across sexes and over time, and upon the characteristics of the usage measure. Pooling across time and sexes is almost always favored, but when more heterogeneous data is pooled it is often the case that a more complex statistical model is required.

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The Hausman (1978) test is based on the vector of differences of two estimators. It is usually assumed that one of the estimators is fully efficient, since this simplifies calculation of the test statistic. However, this assumption limits the applicability of the test, since widely used estimators such as the generalized method of moments (GMM) or quasi maximum likelihood (QML) are often not fully efficient. This paper shows that the test may easily be implemented, using well-known methods, when neither estimator is efficient. To illustrate, we present both simulation results as well as empirical results for utilization of health care services.

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Prevention has been a main issue of recent policy orientations in health care. This renews the interest on how different organizational designs and the definition of payment schemes to providers may affect the incentives to provide preventive health care. We present, both the normative and the positive analyses of the change from independent providers to integrated services. We show the evaluation of that change to depend on the particular way payment to providers is done. We focus on the externality resulting from referral decisions from primary to acute care providers. This makes our analysis complementary to most works in the literature allowing to address in a more direct way the issue of preventive health care.

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We review recent likelihood-based approaches to modeling demand for medical care. A semi-nonparametric model along the lines of Cameron and Johansson's Poisson polynomial model, but using a negative binomial baseline model, is introduced. We apply these models, as well a semiparametric Poisson, hurdle semiparametric Poisson, and finite mixtures of negative binomial models to six measures of health care usage taken from the Medical Expenditure Panel survey. We conclude that most of the models lead to statistically similar results, both in terms of information criteria and conditional and unconditional prediction. This suggests that applied researchers may not need to be overly concerned with the choice of which of these models they use to analyze data on health care demand.

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We address the question of how a third-party payer (e.g. an insurer) decides what providers to contract with. Three different mechanisms are studied and their properties compared. A first mechanism consists in the third-party payer setting up a bargaining procedure with both providers jointly and simultaneously. A second mechanism envisages the outcome of the same simultaneous bargaining but independently with every provider. Finally, the last mechanism is of different nature. It is the so-called "any willing provider" where the third-party payer announces a contract and every provider freely decides to sign it or not. The main finding is that the decision of the third-party payer depends on the surplus to be shared. When it is relatively high the third-party payer prefers the any willing provider system. When, on the contrary, the surplus is relatively low, the third-party payer will select one of the other two systems accor ing to how bargaining power is distributed.

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In several instances, third-party payers negotiate prices of health care services with providers. We show that a third-party payer may prefer to deal with a professional association than with the sub-set constituted by the more efficient providers, and then apply the same price to all providers. The reason for it is the increase in the bargaining position of providers. The more efficient providers are also the ones with higher profits in the event of negotiation failure. This allows them to ext act a higher surplus from the third-party payer.