12 resultados para Service limited State

em DigitalCommons@The Texas Medical Center


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The present study analyzed some of the effects of imposing a cost-sharing requirement on users of a state's health service program. The study population consisted of people who were in diagnosed medical need and included, but was not limited to, people in financial need.^ The purpose of the study was to determine if the cost-sharing requirement had any detrimental effects on the service population. Changes in the characteristics of service consumers and in utilization patterns were analyzed using time-series techniques and pre-post policy comparisons.^ The study hypotheses stated that the distribution of service provided, diagnoses serviced, and consumer income levels would change following the cost-sharing policy.^ Analysis of data revealed that neither the characteristics of service users (income, race, sex, etc.) nor services provided by the program changed significantly following the policy. The results were explainable in part by the fact that all of the program participants were in diagnosed medical need. Therefore, their use of "discretionary" or "less necessary" services was limited.^ The study's findings supported the work of Joseph Newhouse, Charles Phelps, and others who have contended that necessary service use would not be detrimentally affected by reasonable cost-sharing provisions. These contentions raise the prospect of incorporating cost-sharing into programs such as Medicaid, which, at this writing, do not demand any consumer payment for services.^ The study concluded with a discussion of the cost-containment problem in health services. The efficacy of cost-sharing was considered relative to other financing and reimbursement strategies such as HMO's, self-funding, and reimbursement for less costly services and places of service. ^

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Geographic health planning analyses, such as service area calculations, are hampered by a lack of patient-specific geographic data. Using the limited patient address information in patient management systems, planners analyze patient origin based on home address. But activity space research done sparingly in public health and extensively in non-health related arenas uses multiple addresses per person when analyzing accessibility. Also, health care access research has shown that there are many non-geographic factors that influence choice of provider. Most planning methods, however, overlook non-geographic factors influencing choice of provider, and the limited data mean the analyses can only be related to home address. This research attempted to determine to what extent geography plays a part in patient choice of provider and to determine if activity space data can be used to calculate service areas for primary care providers. During Spring 2008, a convenience sample of 384 patients of a locally-funded Community Health Center in Houston, Texas, completed a survey that asked about what factors are important when he or she selects a health care provider. A subset of this group (336) also completed an activity space log that captured location and time data on the places where the patient regularly goes. Survey results indicate that for this patient population, geography plays a role in their choice of health care provider, but it is not the most important reason for choosing a provider. Other factors for choosing a health care provider such as the provider offering “free or low cost visits”, meeting “all of the patient’s health care needs”, and seeing “the patient quickly” were all ranked higher than geographic reasons. Analysis of the patient activity locations shows that activity spaces can be used to create service areas for a single primary care provider. Weighted activity-space-based service areas have the potential to include more patients in the service area since more than one location per patient is used. Further analysis of the logs shows that a reduced set of locations by time and type could be used for this methodology, facilitating ongoing data collection for activity-space-based planning efforts.

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Geographic health planning analyses, such as service area calculations, are hampered by a lack of patient-specific geographic data. Using the limited patient address information in patient management systems, planners analyze patient origin based on home address. But activity space research done sparingly in public health and extensively in non-health related arenas uses multiple addresses per person when analyzing accessibility. Also, health care access research has shown that there are many non-geographic factors that influence choice of provider. Most planning methods, however, overlook non-geographic factors influencing choice of provider, and the limited data mean the analyses can only be related to home address. This research attempted to determine to what extent geography plays a part in patient choice of provider and to determine if activity space data can be used to calculate service areas for primary care providers. ^ During Spring 2008, a convenience sample of 384 patients of a locally-funded Community Health Center in Houston, Texas, completed a survey that asked about what factors are important when he or she selects a health care provider. A subset of this group (336) also completed an activity space log that captured location and time data on the places where the patient regularly goes. ^ Survey results indicate that for this patient population, geography plays a role in their choice of health care provider, but it is not the most important reason for choosing a provider. Other factors for choosing a health care provider such as the provider offering "free or low cost visits", meeting "all of the patient's health care needs", and seeing "the patient quickly" were all ranked higher than geographic reasons. ^ Analysis of the patient activity locations shows that activity spaces can be used to create service areas for a single primary care provider. Weighted activity-space-based service areas have the potential to include more patients in the service area since more than one location per patient is used. Further analysis of the logs shows that a reduced set of locations by time and type could be used for this methodology, facilitating ongoing data collection for activity-space-based planning efforts. ^

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Providing health insurance coverage for vulnerable populations such as low-income high-risk children with limited access to health care is a challenge for many states. Over the past decade, higher private insurance premiums and unpredictable labor markets have increased the number of uninsured and underinsured children nationwide. Due to recent economic downfalls, many states such as Texas, have expressed interest in using premium assistance programs to increase enrollment of low income children and families in private coverage through employer sponsored health insurance. Massachusetts has been especially successful in reducing the number of uninsured children through the implementation of MassHealth Family Assistance Program (MHFAP), an employer based premium assistance program. The purpose of this study is to identify key implementation factors of a fully established premium assistance program which may provide lessons and facilitate implementation of emerging premium assistance programs. ^ The case study of the fully established MassHealth Family Assistance Program (MHFAP) has illustrated the ability of states to expand their Medicaid and SCHIP programs in order to provide affordable health coverage to uninsured and underinsured low income children and their families. As demonstrated by MHFAP, the success of a premium assistance program depends on four key factors: (1) determination of participant and employer eligibility; (2) determination of employer benefits meeting benchmark equivalency (Medicaid or State Children's Health Insurance Program); (3) the use of appropriate marketing and outreach strategies; and (4) establishment of adequate monitoring and reporting techniques. Successful implementation strategies, revealed by the case study of the Massachusetts MassHealth Family Assistance Program, may be used by emerging premium assistance programs, such as Texas Children's Health Insurance Premium Assistance Program (CHIP-PA) toward establishment of an effective, efficient, and equitable employer sponsored health program.^

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Background. Population health within and between nations is heavily influenced by political determinants, yet these determinants have received significantly less attention than socioeconomic factors in public health. It has been hypothesized that the welfare state, as a political variable, may play a particularly prominent role in affecting both health indicators and health disparities in developed countries. The research, however, provides conflicting evidence regarding the health impact of particular regimes over others and the mechanisms through which the welfare state can most significantly affect health.^ Objective. To perform a systematic review of the literature as a means of exploring what the current research indicates regarding the benefits or detriments of particular regimes styles and the pathways through which the welfare state can impact heath indicators and health disparities within developed countries.^ Methods. A thorough search of the EBSCO, Pubmed, Medline, Web of Science, and Scopus electronic databases was conducted and resulted in the identification of 15 studies that evaluated the association between welfare state regime and population health outcomes, and/or pathways through with the welfare state influences health. ^ Results. Social democratic countries tended to perform best when infant mortality rate (IMR) was the primary outcome of interest, whereas liberal countries performed strongly in relation to self perceived health. The results were mixed regarding welfare state effectiveness in mitigating health inequities, with Christian democratic countries performing as well as social democratic countries. In relation to welfare state pathways, public health spending and medical coverage were associated with positive health indicators. Redistributive impact of the welfare state was also consistently associated with better health outcomes while social security expenditures were not.^ Discussion/Conclusions. Studies consistently discovered a significant relationship between the welfare state and population health and/or health disparities, lending support to the hypothesis that the welfare state is, indeed, an important non-medical determinant of health. However, it is still fairly unclear which welfare state regime may be most protective for health, as results varied according to the measured health indicator. The research regarding welfare state pathways is particularly undeveloped, and does not provide much insight into the importance of in-kind service provision or cash transfers, or targeted or universal approaches to the welfare state. Suggestions to direct future research are provided.^

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This is an implementation analysis of three consecutive state health policies whose goal was to improve access to maternal and child health services in Texas from 1983 to 1986. Of particular interest is the choice of the unit of analysis, the policy subsystem, and the network approach to analysis. The network approach analyzes and compares the structure and decision process of six policy subsystems in order to explain program performance. Both changes in state health policy as well as differences in implementation contexts explain evolution of the program administrative and service unit, the policy subsystem. And, in turn, the evolution of the policy subsystem explains changes in program performance. ^

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The state of knowledge on the relation of stress factors, health problems and health service utilization among university students is limited. Special problems of stress exist for the international students due to their having to adjust to a new environment. It is this latter problem area that provides the focus for this study. Recognizing there are special stress factors affecting the international students, it is first necessary to see if the problems of cultural adaptation affect them to any greater degree than American students attending the same university.^ To make the comparison, the study identified a number of health problems of both American and international students and related their frequency to the use of the Student Health Center. The expectation was that there would be an association between the number of health problems and the number of life change events experienced by these students and between the number of health problems and stresses from social factors. It was also expected that the number of health problems would decline with the amount of social support.^ The population chosen were students newly enrolled in Texas Southern University, Houston, Texas in the Fall Semester of 1979. Two groups were selected at random: 126 international and 126 American students. The survey instrument was a self-administered questionnaire. The response rate was 90% (114) for the international and 94% (118) for the American students.^ Data analyses consisted of both descriptive and inferential statistics. Chi-squares and correlation coefficients were the statistics used in comparing the international students and the American students.^ There was a weak association between the number of health problems and the number of life change events, as reported by both the international and the American students. The study failed to show any statistically significant association between the number of stress from social factors and the number of health problems. It also failed to show an association between the number of health problems and the amount of social support. These findings applied to both the international and the American students.^ One unexpected finding was that certain health problems were reported by more American than international students. There were: cough, diarrhea, and trouble in sleeping. Another finding was that those students with health insurance had a higher level of utilization of the Health Center than those without health insurance. More international than American students utilized the Student Health Center.^ In comparing the women students, there was no statistical significant difference in their reported fertility related health problems.^ The investigator recommends that in follow-up studies, instead of grouping all international students together, that they be divided by major nationalities represented in the student body; that is, Iranians, Nigerians and others. ^

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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 purpose of this study was to analyze the implementation of national family planning policy in the United States, which was embedded in four separate statutes during the period of study, Fiscal Years 1976-81. The design of the study utilized a modification of the Sabatier and Mazmanian framework for policy analysis, which defined implementation as the carrying out of statutory policy. The study was divided into two phases. The first part of the study compared the implementation of family planning policy by each of the pertinent statutes. The second part of the study identified factors that were associated with implementation of federal family planning policy within the context of block grants.^ Implemention was measured here by federal dollars spent for family planning, adjusted for the size of the respective state target populations. Expenditure data were collected from the Alan Guttmacher Institute and from each of the federal agencies having administrative authority for the four pertinent statutes, respectively. Data from the former were used for most of the analysis because they were more complete and more reliable.^ The first phase of the study tested the hypothesis that the coherence of a statute is directly related to effective implementation. Equity in the distribution of funds to the states was used to operationalize effective implementation. To a large extent, the results of the analysis supported the hypothesis. In addition to their theoretical significance, these findings were also significant for policymakers insofar they demonstrated the effectiveness of categorical legislation in implementing desired health policy.^ Given the current and historically intermittent emphasis on more state and less federal decision-making in health and human serives, the second phase of the study focused on state level factors that were associated with expenditures of social service block grant funds for family planning. Using the Sabatier-Mazmanian implementation model as a framework, many factors were tested. Those factors showing the strongest conceptual and statistical relationship to the dependent variable were used to construct a statistical model. Using multivariable regression analysis, this model was applied cross-sectionally to each of the years of the study. The most striking finding here was that the dominant determinants of the state spending varied for each year of the study (Fiscal Years 1976-1981). The significance of these results was that they provided empirical support of current implementation theory, showing that the dominant determinants of implementation vary greatly over time. ^

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Birth defects are the leading cause of infant mortality in the United States and are a major cause of lifetime disability. However, efforts to understand their causes have been hampered by a lack of population-specific data. During 1990–2004, 22 state legislatures responded to this need by proposing birth defects surveillance legislation (BDSL). The contrast between these states and those that did not pass BDSL provides an opportunity to better understand conditions associated with US public health policy diffusion. ^ This study identifies key state-specific determinants that predict: (1) the introduction of birth defects surveillance legislation (BDSL) onto states' formal legislative agenda, and (2) the successful adoption of these laws. Secondary aims were to interpret these findings in a theoretically sound framework and to incorporate evidence from three analytical approaches. ^ The study begins with a comparative case study of Texas and Oregon (states with divergent BDSL outcomes), including a review of historical documentation and content analysis of key informant interviews. After selecting and operationalizing explanatory variables suggested by the case study, Qualitative Comparative Analysis (QCA) was applied to publically available data to describe important patterns of variation among 37 states. Results from logistic regression were compared to determine whether the two methods produced consistent findings. ^ Themes emerging from the comparative case study included differing budgetary conditions and the significance of relationships within policy issue networks. However, the QCA and statistical analysis pointed to the importance of political parties and contrasting societal contexts. Notably, state policies that allow greater access to citizen-driven ballot initiatives were consistently associated with lower likelihood of introducing BDSL. ^ Methodologically, these results indicate that a case study approach, while important for eliciting valuable context-specific detail, may fail to detect the influence of overarching, systemic variables, such as party competition. However, QCA and statistical analyses were limited by a lack of existing data to operationalize policy issue networks, and thus may have downplayed the impact of personal interactions. ^ This study contributes to the field of health policy studies in three ways. First, it emphasizes the importance of collegial and consistent relationships among policy issue network members. Second, it calls attention to political party systems in predicting policy outcomes. Finally, a novel approach to interpreting state data in a theoretically significant manner (QCA) has been demonstrated.^

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While most professionals do not dispute the fact that evaluation is necessary to determine whether agencies and practitioners are truly providing services that meet clients’ needs, information regarding consistent measures on service effectiveness in human service organizations is sparse. A national survey of 250 not-for-profit family service organizations in the United States (52.8% return rate) yielded results relevant to client identified needs and agency effectiveness measures in serving today’s families. On an open-ended survey item, 52.3% agencies indicated that poverty represented the most pressing problem among today’s families because other psychological needs also take priority. Over two thirds of these agencies used multiple methods to evaluate their services. Clients’ feedback and outcome measures are the most popular methods. The findings reveal agencies' difficulties in determining what or who decides if the most appropriate services are being provided for the target population. Limited data collected on outcomes and impact may impose additional difficulties in program design and planning.

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In 1997, the Adoption and Safe Families Act shifted from the preservation of families to an emphasis on safety, permanency, and well-being through expediting the termination of parental rights, establishing exceptions to the reasonable efforts clause of preserving the family, and fiscal incentives for finalizing adoptions. The current project assessed the role of a full service array in achieving the outcomes set forth in ASF A. Concept mapping was utilized to elicit information from participants (both urban and rural) regarding the identified research question. Participants recognized family preservation versus safety, community connections, mandates versus reality, and worker recruitment and retention as critical components for meeting ASFA goals. Perceived importance and level of success in implementing these services was also highlighted. Recommendations supported through the data are also provided.