961 resultados para Illinois. Comprehensive State Health Planning Agency.
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Mode of access: Internet.
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Includes bibliographical references.
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"October, 1979."
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The field of collaborative health planning faces significant challenges created by the narrow focus of the available information, the absence of a framework to organise that information and the lack of systems to make information accessible and guide decision-making. These challenges have been magnified by the rise of the ‘healthy communities movement’, as a result of which, there have been more frequent calls for localised, collaborative and evidence-driven health related decision-making. This paper discusses the role of decision support systems as a mechanism to facilitate collaborative health decision-making. The paper presents a potential information management framework to underpin a health decision support system and describes the participatory process that is currently being used to create an online tool for health planners using geographic information systems. The need for a comprehensive information management framework to guide the process of planning for healthy communities has been emphasised. The paper also underlines the critical importance of the proposed framework not only in forcing planners to engage with the entire range of health determinants, but also in providing sufficient flexibility to allow exploration of the local setting-based determinants of health.
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Context During the past 2 decades, a major transition in the clinical characterization of psychotic disorders has occurred. The construct of a clinical high-risk (HR) state for psychosis has evolved to capture the prepsychotic phase, describing people presenting with potentially prodromal symptoms. The importance of this HR state has been increasingly recognized to such an extent that a new syndrome is being considered as a diagnostic category in the DSM-5. Objective To reframe the HR state in a comprehensive state-of-the-art review on the progress that has been made while also recognizing the challenges that remain. Data Sources Available HR research of the past 20 years from PubMed, books, meetings, abstracts, and international conferences. Study Selection and Data Extraction Critical review of HR studies addressing historical development, inclusion criteria, epidemiologic research, transition criteria, outcomes, clinical and functional characteristics, neurocognition, neuroimaging, predictors of psychosis development, treatment trials, socioeconomic aspects, nosography, and future challenges in the field. Data Synthesis Relevant articles retrieved in the literature search were discussed by a large group of leading worldwide experts in the field. The core results are presented after consensus and are summarized in illustrative tables and figures. Conclusions The relatively new field of HR research in psychosis is exciting. It has the potential to shed light on the development of major psychotic disorders and to alter their course. It also provides a rationale for service provision to those in need of help who could not previously access it and the possibility of changing trajectories for those with vulnerability to psychotic illnesses.
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Perhaps it was foreshadowing the influence emerging technologies would have on health when the term "podcast" beat out "bird flu" for the 2005 word of the year, an honor given by The New Oxford American Dictionary. From medical school courses to medical journal summaries, podcasting has found a niche in the health field and with studies showing a high proportion of people using the Internet to seek health information, it is imperative that the online information be accurate and easily accessible. With the responsibility of health departments to reach out to their respective communities with effective health communication strategies, this study assessed the proportion of 50 states' and the District of Columbia's health departments utilizing podcasting as a tool for health communication. Additionally, to assess any trends, the prevalence of podcasting was compared to select state demographic characteristics (age, sex, and median income), the organization of the health department (freestanding or super-agency), and the respective United Health Foundation 2007 health ranking. ^ Prevalence data were collected from each state health department's website to find evidence of podcasting to any extent. If a podcast was present, characteristics including creator, release frequency, and transcript were further assessed. The study found that 51% (26/51) of all health departments were utilizing podcasts in some capacity and almost 20% (5/26) of these had created their own podcasts. The most common use of podcasting was to link to outside podcast resources, most notably, the Centers for Disease Control's podcast series. No significant associations were found between the state-specific variables and the podcasting outcomes; however, higher percentages of young adults in some states suggest potential podcasting opportunities for targeting these known podcast users with age-specific health messages. Another recommendation is a future assessment of local health departments' use of podcasting as their smaller, more defined target audiences may be a more efficient use of podcasting as a health communication tool. Additionally, there is a need for evaluations of podcasts' overall effectiveness as a health communication tool to (1) reach a target audience; and (2) convey a specific health message. In conclusion, the findings from this project illuminate the extent of podcast influence in states' and the District of Columbia's health departments as a health communication tool; however evaluations of effectiveness are imperative for future studies.^
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This is a report on an empirical study of the decline of ischemic heart disease mortality in the State of Texas. The study period was from 1970 to 1977. The data was collected and analyzed at three different levels of analysis: state, health service area (HSA), and county. The study was designed to test five main hypotheses. They serve to test the role of the medical care system as a possible factor associated with the changing ischemic heart disease mortality trends.^ The principal findings of the study were that a reasonable relationship could be found between the number of emergency medical care personnel, the number of icu-ccu beds, the number of medical specialists and the percent of hospitals with icu-ccu and the decline in ischemic heart disease mortality for the State of Texas. However, non significant relationships were found between variables in the medical care system and ischemic heart disease mortality trends, at the health service area level of analysis. More specifically, the number of coronary care unit beds was found to be negatively correlated with the decline in ischemic heart disease mortality at the county level.^ While being limited in its scope, the study suggests that certain factors (emergency medical service, icu-ccu beds, percent of icu-ccu units, and medical specialists) have been shown to be associated with the observed decline in ischemic heart disease mortality. The study also suggests many avenues of future research that need to be explored. ^
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The National Health Planning and Resources Development Act of 1974 (Public Law 93-641) requires that health systems agencies (HSAs) plan for their health service areas by the use of existing data to the maximum extent practicable. Health planning is based on the identificaton of health needs; however, HSAs are, at present, identifying health needs in their service areas in some approximate terms. This lack of specificity has greatly reduced the effectiveness of health planning. The intent of this study is, therefore, to explore the feasibility of predicting community levels of hospitalized morbidity by diagnosis by the use of existing data so as to allow health planners to plan for the services associated with specific diagnoses.^ The specific objectives of this study are (a) to obtain by means of multiple regression analysis a prediction equation for hospital admission by diagnosis, i.e., select the variables that are related to demand for hospital admissions; (b) to examine how pertinent the variables selected are; and (c) to see if each equation obtained predicts well for health service areas.^ The existing data on hospital admissions by diagnosis are those collected from the National Hospital Discharge Surveys, and are available in a form aggregated to the nine census divisions. When the equations established with such data are applied to local health service areas for prediction, the application is subject to the criticism of the theory of ecological fallacy. Since HSAs have to rely on the availability of existing data, it is imperative to examine whether or not the theory of ecological fallacy holds true in this case.^ The results of the study show that the equations established are highly significant and the independent variables in the equations explain the variation in the demand for hospital admission well. The predictability of these equations is good when they are applied to areas at the same ecological level but become poor, predominantly due to ecological fallacy, when they are applied to health service areas.^ It is concluded that HSAs can not predict hospital admissions by diagnosis without primary data collection as discouraged by Public Law 93-641. ^
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"Appendix C. Selected references on temporary disability insurance program": pages 63-67.
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Mode of access: Internet.
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Vols. for 1989/1992 and subsequent supplements also have title: Confronting tomorrow today
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"December 2007"
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Annual updates published in years between the 3-year comprehensive plans.
