926 resultados para Health models
Resumo:
The use of preference-based measures of health in the measurement of Health Related Quality of Life has become widely used in health economics. Hence, the development of preference-based measures of health has been a major concern for researchers throughout the world. This study aims to model health state preference data using a new preference-based measure of health (the SF- 6D) and to suggest alternative models for predicting health state utilities using fixed and random effects models. It also seeks to investigate the problems found in the SF-6D and to suggest eventual changes to it.
Resumo:
Time series regression models are especially suitable in epidemiology for evaluating short-term effects of time-varying exposures on health. The problem is that potential for confounding in time series regression is very high. Thus, it is important that trend and seasonality are properly accounted for. Our paper reviews the statistical models commonly used in time-series regression methods, specially allowing for serial correlation, make them potentially useful for selected epidemiological purposes. In particular, we discuss the use of time-series regression for counts using a wide range Generalised Linear Models as well as Generalised Additive Models. In addition, recently critical points in using statistical software for GAM were stressed, and reanalyses of time series data on air pollution and health were performed in order to update already published. Applications are offered through an example on the relationship between asthma emergency admissions and photochemical air pollutants
Resumo:
This paper explores issues of cultural models in the discourse of public health in a multicultural, multilingual context through a 'frame analysis' of 20 AIDS awareness campaigns aired in both English and Cantonese in Hong Kong from 1987 to 1994. Using a methodology derived from the work of Goffman (1974), and Gee (1990), it examines how the authors of AIDS awareness messages in Hong Kong project cultural models on several different levels of "framing" and how these models both reflect and validate dominant ideologies within the society.
Resumo:
Introduction
Continuing Education (CE) for health professionals is a life-long process which endeavours to update or enhance knowledge, refine skills, reinforce professional values and support the delivery of professional practice. It plays a pivotal role in the maintenance of professional competence and in the past decade participation in CE has become an expectation of, rather than an option for, practising health professionals. The time and resources required from organisers and participants in
CE and the need to ensure practical outcomes justifies a review of current models being used for its delivery. This entails an understanding of the purpose of CE, a consideration of how it should be delivered, and the role played by assessment in achieving the goals of CE.
Aim of Report
The overall aim of this study is to identify important considerations and subsequently make recommendations for the development of an ideal model(s) of CE for community pharmacy.
Goals of Report
1. Define CE and its role.
2. Identify and assess current CE delivery models.
3. Examine the current status of continuing education and registration requirements for pharmacists.
4. Identify barriers to participation in CE.
5. Identify components and considerations for developing a model of CE delivery.
Methods
The following methods were employed for this project:
1. Literature review
A number of electronic databases were systematically searched in order to profile current trends and concepts in CE. CE structures currently in use were investigated by directly accessing the websites of appropriate associations.
2. Stakeholder interviews
A series of semi-structured interviews were completed with stakeholders from CE delivery organisations across a range of professions including pharmacy.
3. Community pharmacy focus groups
A series of focus group teleconferences were held with groups of pharmacists thought to have distinct CE needs: experienced pharmacists (qualified more than 5 years), recently-qualified pharmacists (5 years or less), rural/remote pharmacists, and pharmacists with specialist training
needs (such as Home Medication Reviews). These focus groups asked about participants’ experiences and opinions in relation to many aspects of CE including its delivery and its assessment.
Resumo:
Evidence-based interventions designed to reduce the risk of re-offending, particularly violent re-offending, are commonly offered in correctional systems around the world. The interventions are often based upon the application of several principles of service delivery that have become widely known as the 'what works' approach to offender rehabilitation. The applicability of these principles to forensic psychiatric services has yet to be determined. The aims are to examine the possible application of the 'what works' approach and its implications for forensic mental health practice. The method used was a review of relevant research from both the general offender and forensic psychiatry literature. The principles underlying the 'what works' approach are likely to have utility in service delivery in forensic psychiatry, particularly when a treatment target is a reduction in risk of harm to others. The individualized models of patient care practiced in forensic psychiatry are also likely to have utility in improving treatment outcomes in correctional settings. The conclusion is that an increased interchange of ideas and interventions between the two areas of practice is likely to be of mutual benefit. This is an area that requires significant development.
Resumo:
People with severe mental illness experience elevated levels of impairment, morbidity and health-risk behaviours compared with the general population. Despite this, it is consistently reported that they do not visit health professionals, including preventative health professionals, as regularly as the general population. Their poor health suggests that current health promotion efforts have been largely ineffective in addressing their specific needs. Barriers that might explain this include lack of motivation, expense and lack of access. Health literacy is also a potentially important factor. As a part of a programme of work to develop appropriate and effective health promotion for this group, we have explored existing health-literacy models and their relevance to marginalized populations, in particular, people experiencing severe mental illness. A comprehensive search of the literature was undertaken. Models of health literacy identified were analyzed to determine the source population, underpinning theory/frameworks, supporting research evidence and to consider their potential generalisability. This paper presents an analysis of existing health-literacy models in the context of severe mental illness. We propose that because existing models of health literacy were developed through consultation with people experiencing challenges to specific health and social issues, for example, cancer, low income and limited education, this raises questions as to the applicability of these models to people experiencing severe and ongoing mental illness. Whilst such individuals were not actively excluded in the development of the existing models, we propose the development of an alternative model which considers this population's needs and limitations in accessing effective health-promotion campaigns/programs.
Resumo:
Abstract
Few studies have investigated the views of health professionals with respect to their use of chronic disease self-management (CDSM) in the workplace.
Objective
This qualitative study, conducted in an Australian health care setting, examined health professional's formal self-management (SM) training and their views and experiences on the use of SM techniques when working with people living with a chronic illness.
Methods
Purposive sample of 31 health care professionals from a range of service types participated in semi-structured interviews.
Results
The majority of participants (65%) had received no formal training in SM techniques. Participants reported a preference for an eclectic approach to SM, relying primarily on five elements: collaborative care, self-responsibility, client's individual situation, structured support and linking with community agencies. Problems with CDSM centred on medication management, complex measuring devices and limited efficacy with some patient groups.
Conclusion
This study provides valuable information with respect to the use of CDSM within the workplace from the unique perspective of a range of healthcare providers within an Australian health care setting.
Practice implications
Training implications, with respect to CDSM and patient care, are discussed, together with how these findings contribute to the debate concerning how SM principles are translated into healthcare settings.
Resumo:
SILVA, Flávio César Bezerra da ; COSTA, Francisca Marta de Lima; ANDRADE, Hamilton Leandro Pinto de; FREIRE, Lúcia de Fátima; MACIEL, Patrícia Suerda de Oliveira; ENDERS, Bertha Cruz ; MENEZES, Rejane Maria Paiva de. Paradigms that guide the models of attention to the health in Brazil: an analytic essay. Revista de Enfermagem UFPE On Line., Recife, v.3,n.4, p.460-65. out/dez. 2009. Disponível em < http://www.ufpe.br/revistaenfermagem/index.php/revista/search/results >.
Resumo:
This paper presents a new approach for damage detection in Structural Health Monitoring (SHM) systems, which is based on the Electromechanical Impedance (EMI) principle and Autoregressive (AR) models. Typical applications of EMI in SHM are based on computing the Frequency Response Function (FRF). In this work the procedure is based on the EMI principle but the results are determined through the coefficients of AR models, which are computed from the time response of PZT transducers bonded to the monitored structure, and acting as actuator and sensors at the same time. The procedure is based on exciting the PZT transducers using a wide band chirp signal and getting its time response. The AR models are obtained in both healthy and damaged conditions and used to compute statistics indexes. Practical tests were carried out in an aluminum plate and the results have demonstrated the effectiveness of the proposed method. © 2012 IEEE.
Resumo:
Quantifying the health effects associated with simultaneous exposure to many air pollutants is now a research priority of the US EPA. Bayesian hierarchical models (BHM) have been extensively used in multisite time series studies of air pollution and health to estimate health effects of a single pollutant adjusted for potential confounding of other pollutants and other time-varying factors. However, when the scientific goal is to estimate the impacts of many pollutants jointly, a straightforward application of BHM is challenged by the need to specify a random-effect distribution on a high-dimensional vector of nuisance parameters, which often do not have an easy interpretation. In this paper we introduce a new BHM formulation, which we call "reduced BHM", aimed at analyzing clustered data sets in the presence of a large number of random effects that are not of primary scientific interest. At the first stage of the reduced BHM, we calculate the integrated likelihood of the parameter of interest (e.g. excess number of deaths attributed to simultaneous exposure to high levels of many pollutants). At the second stage, we specify a flexible random-effect distribution directly on the parameter of interest. The reduced BHM overcomes many of the challenges in the specification and implementation of full BHM in the context of a large number of nuisance parameters. In simulation studies we show that the reduced BHM performs comparably to the full BHM in many scenarios, and even performs better in some cases. Methods are applied to estimate location-specific and overall relative risks of cardiovascular hospital admissions associated with simultaneous exposure to elevated levels of particulate matter and ozone in 51 US counties during the period 1999-2005.
Resumo:
Cultural models of the domains healing and health are important in how people understand health and their behavior regarding it. The biomedicine model has been predominant in Western society. Recent popularity of holistic health and alternative healing modalities contrasts with the biomedical model and the assumptions upon which that model has been practiced. The holistic health movement characterizes an effort by health care providers and others such as nurses to expand the biomedical model and has often incorporated alternative modalities. This research described and compared the cultural models of healing of professional nurses and alternative healers. A group of nursing faculty who promote a holistic model were compared to a group of healers using healing touch. Ethnographic methods of participant observation, free listing and pile sort were used. Theoretical sampling in the free listings reached saturation at 18 in the group of nurses and 21 in the group of healers. Categories consistent for both groups emerged from the data. These were: physical, mental, attitude, relationships, spiritual, self management, and health seeking including biomedical and alternative resources. The healers had little differentiation between the concepts health and healing. The nurses, however, had more elements in self management for health and in health seeking for healing. This reflects the nurse's role in facilitating the shift in locus of responsibility between health and healing. The healers provided more specific information regarding alternative resources. The healer's conceptualization of health was embedded in a spiritual belief system and contrasted dramatically with that of biomedicine. The healer's models also contrasted with holistic health in the areas of holism, locus of responsibility, and dealing with uncertainty. The similarity between the groups and their dissimilarity to biomedicine suggest a larger cultural shift in beliefs regarding health care. ^
Resumo:
Objective: To explore the experience of diabetes in British Bangladeshis, since successful management of diabetes requires attention not just to observable behaviour but to the underlying attitudes and belief systems which drive that behaviour.
Resumo:
Negli ultimi anni i modelli VAR sono diventati il principale strumento econometrico per verificare se può esistere una relazione tra le variabili e per valutare gli effetti delle politiche economiche. Questa tesi studia tre diversi approcci di identificazione a partire dai modelli VAR in forma ridotta (tra cui periodo di campionamento, set di variabili endogene, termini deterministici). Usiamo nel caso di modelli VAR il test di Causalità di Granger per verificare la capacità di una variabile di prevedere un altra, nel caso di cointegrazione usiamo modelli VECM per stimare congiuntamente i coefficienti di lungo periodo ed i coefficienti di breve periodo e nel caso di piccoli set di dati e problemi di overfitting usiamo modelli VAR bayesiani con funzioni di risposta di impulso e decomposizione della varianza, per analizzare l'effetto degli shock sulle variabili macroeconomiche. A tale scopo, gli studi empirici sono effettuati utilizzando serie storiche di dati specifici e formulando diverse ipotesi. Sono stati utilizzati tre modelli VAR: in primis per studiare le decisioni di politica monetaria e discriminare tra le varie teorie post-keynesiane sulla politica monetaria ed in particolare sulla cosiddetta "regola di solvibilità" (Brancaccio e Fontana 2013, 2015) e regola del GDP nominale in Area Euro (paper 1); secondo per estendere l'evidenza dell'ipotesi di endogeneità della moneta valutando gli effetti della cartolarizzazione delle banche sul meccanismo di trasmissione della politica monetaria negli Stati Uniti (paper 2); terzo per valutare gli effetti dell'invecchiamento sulla spesa sanitaria in Italia in termini di implicazioni di politiche economiche (paper 3). La tesi è introdotta dal capitolo 1 in cui si delinea il contesto, la motivazione e lo scopo di questa ricerca, mentre la struttura e la sintesi, così come i principali risultati, sono descritti nei rimanenti capitoli. Nel capitolo 2 sono esaminati, utilizzando un modello VAR in differenze prime con dati trimestrali della zona Euro, se le decisioni in materia di politica monetaria possono essere interpretate in termini di una "regola di politica monetaria", con specifico riferimento alla cosiddetta "nominal GDP targeting rule" (McCallum 1988 Hall e Mankiw 1994; Woodford 2012). I risultati evidenziano una relazione causale che va dallo scostamento tra i tassi di crescita del PIL nominale e PIL obiettivo alle variazioni dei tassi di interesse di mercato a tre mesi. La stessa analisi non sembra confermare l'esistenza di una relazione causale significativa inversa dalla variazione del tasso di interesse di mercato allo scostamento tra i tassi di crescita del PIL nominale e PIL obiettivo. Risultati simili sono stati ottenuti sostituendo il tasso di interesse di mercato con il tasso di interesse di rifinanziamento della BCE. Questa conferma di una sola delle due direzioni di causalità non supporta un'interpretazione della politica monetaria basata sulla nominal GDP targeting rule e dà adito a dubbi in termini più generali per l'applicabilità della regola di Taylor e tutte le regole convenzionali della politica monetaria per il caso in questione. I risultati appaiono invece essere più in linea con altri approcci possibili, come quelli basati su alcune analisi post-keynesiane e marxiste della teoria monetaria e più in particolare la cosiddetta "regola di solvibilità" (Brancaccio e Fontana 2013, 2015). Queste linee di ricerca contestano la tesi semplicistica che l'ambito della politica monetaria consiste nella stabilizzazione dell'inflazione, del PIL reale o del reddito nominale intorno ad un livello "naturale equilibrio". Piuttosto, essi suggeriscono che le banche centrali in realtà seguono uno scopo più complesso, che è il regolamento del sistema finanziario, con particolare riferimento ai rapporti tra creditori e debitori e la relativa solvibilità delle unità economiche. Il capitolo 3 analizza l’offerta di prestiti considerando l’endogeneità della moneta derivante dall'attività di cartolarizzazione delle banche nel corso del periodo 1999-2012. Anche se gran parte della letteratura indaga sulla endogenità dell'offerta di moneta, questo approccio è stato adottato raramente per indagare la endogeneità della moneta nel breve e lungo termine con uno studio degli Stati Uniti durante le due crisi principali: scoppio della bolla dot-com (1998-1999) e la crisi dei mutui sub-prime (2008-2009). In particolare, si considerano gli effetti dell'innovazione finanziaria sul canale dei prestiti utilizzando la serie dei prestiti aggiustata per la cartolarizzazione al fine di verificare se il sistema bancario americano è stimolato a ricercare fonti più economiche di finanziamento come la cartolarizzazione, in caso di politica monetaria restrittiva (Altunbas et al., 2009). L'analisi si basa sull'aggregato monetario M1 ed M2. Utilizzando modelli VECM, esaminiamo una relazione di lungo periodo tra le variabili in livello e valutiamo gli effetti dell’offerta di moneta analizzando quanto la politica monetaria influisce sulle deviazioni di breve periodo dalla relazione di lungo periodo. I risultati mostrano che la cartolarizzazione influenza l'impatto dei prestiti su M1 ed M2. Ciò implica che l'offerta di moneta è endogena confermando l'approccio strutturalista ed evidenziando che gli agenti economici sono motivati ad aumentare la cartolarizzazione per una preventiva copertura contro shock di politica monetaria. Il capitolo 4 indaga il rapporto tra spesa pro capite sanitaria, PIL pro capite, indice di vecchiaia ed aspettativa di vita in Italia nel periodo 1990-2013, utilizzando i modelli VAR bayesiani e dati annuali estratti dalla banca dati OCSE ed Eurostat. Le funzioni di risposta d'impulso e la scomposizione della varianza evidenziano una relazione positiva: dal PIL pro capite alla spesa pro capite sanitaria, dalla speranza di vita alla spesa sanitaria, e dall'indice di invecchiamento alla spesa pro capite sanitaria. L'impatto dell'invecchiamento sulla spesa sanitaria è più significativo rispetto alle altre variabili. Nel complesso, i nostri risultati suggeriscono che le disabilità strettamente connesse all'invecchiamento possono essere il driver principale della spesa sanitaria nel breve-medio periodo. Una buona gestione della sanità contribuisce a migliorare il benessere del paziente, senza aumentare la spesa sanitaria totale. Tuttavia, le politiche che migliorano lo stato di salute delle persone anziane potrebbe essere necessarie per una più bassa domanda pro capite dei servizi sanitari e sociali.