25 resultados para General hospital


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Since the tragic events of September, 11 2001 the United States bioterrorism and disaster preparedness has made significant progress; yet, numerous research studies of nationwide hospital emergency response have found alarming shortcomings in surge capacity and training level of health care personnel in responding to bioterrorism incidents. The primary goals of this research were to assess hospital preparedness towards the threat of bioterrorist agents in the Southwest Region of the United States and provide recommendations for its improvement. Since little formal research has been published on the hospital preparedness of Oklahoma, Arizona, Texas and New Mexico, this research study specifically focused on the measurable factors affecting the respective states' resources and level of preparedness, such as funding, surge capacity and preparedness certification status.^ Over 300 citations of peer-reviewed articles and 17 Web sites were reviewed, of which 57 reports met inclusion criteria. The results of the systematic review highlighted key gaps in the existing literature and the key targets for future research, as well as identified strengths and weaknesses of the hospital preparedness in the Southwest states compared to the national average. ^ Based on the conducted research, currently, the Southwest states hospital systems are unable fully meet presidential preparedness mandates for emergency and disaster care: the staffed beds to 1,000 population value fluctuated around 1,5 across the states; funding for the hospital preparedness lags behind hospital costs by millions of dollars; and public health-hospital partnership in bioterrorism preparedness is quite weak as evident in lack of joint exercises and training. However, significant steps towards it are being made, including on-going hospital preparedness certification by the Joint Commission of Health Organization. Variations in preparedness levels among states signify that geographic location might determine a hospital level of bioterrorism preparedness as well, tending to favor bigger states such as Texas.^ Suggested recommendations on improvement of the hospital bioterrorism preparedness are consistent with the existing literature and include establishment and maintenance of solid partnerships between hospitals and public health agencies, conduction of joint exercises and drills for the health care personnel and key partners, improved state and federal funding specific to bioterrorism preparedness objectives, as well as on-going training of the clinical personnel on recognition of the bioterrorism agents.^

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This study addressed two purposes: (1) to determine the effect of person-environment fit on the psychological well-being of psychiatric aides and (2) to determine what role the coping resources of social support and control have on the above relationship. Two hundred and ten psychiatric aides working in a state hospital in Texas responded to a questionnaire pertaining to these issues.^ Person-environment fit, as a measure of occupational stress, was assessed through a modified version of the Work Environment Scale (WES). The WES subscales used in this study were: involvement, autonomy, job pressure, job clarity, and physical comfort. Psychological well-being was measured with the General Well-Being Schedule which was developed by the National Center for Health Statistics. Co-worker and supervisor support were measured through the WES and finally, control was assessed through Rotter's Locus of Control Scale.^ The results of this study were as follows: (1) all person-environment (p-e) dimensions appeared to have linear relationships with psychological well-being; (2) the p-e fit - well-being relationship did not appear to be confounded by demographic factors; (3) all p-e fit dimensions were significantly related to well-being except for autonomy; (4) p-e fit was more strongly related to well-being than the environmental measure alone; (5) supervisor support and non-work related support were found to have additive effects on the relationship between p-e fit and well-being, however no interaction or buffering effects were observed; (6) locus of control was found to have additive effects in the prediction of well-being and showed interactive effects with work pressure, involvement and physical comfort; and (7) the testing of the overall study model which included many of the components mentioned above yielded an R('2) = .27.^ Implications of these findings are discussed, future research suggested and applications proposed. ^

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This study examines the reduction in hospital utilization of 393 public hospital patients who were referred to the hospital's alcoholism screening program for intervention. The 393 patients were the total patient population of the alcoholism screening program for the period of September through December, 1982. Medical records of these patients were investigated to assess the total number of hospital days six months before and six months after intervention. The findings support the hypothesis of decreased utilization. The total number of hospital days for 393 patients before intervention of the alcoholism program was 3,458, with a mean length of stay of 8.80 days. The total number of hospital days after intervention was 458 days, with a mean length of stay of 6.50 days. The average individual difference (decrease) was 7.63 days for one year. From a total of 393 patients counseled by the alcoholism program, 106 (27%) went to treatment for their alcoholism. Other aims were to examine the referral sources (physicians, nurses, social workers and the MAST); study the impact of familial history of alcoholism on referrals, and explore the MAST scores of patients successfully referred. Implications of the study are that it would benefit the public hospital, with their disproportionate numbers of alcoholics, to intervene in the behavioral patterns of alcoholism. Such intervention would be a factor in reducing the overall hospitalization of the alcoholic. ^

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The purpose of this investigation was to develop a reliable scale to measure the social environment of hospital nursing units according to the degree of humanistic and dehumanistic behaviors as perceived by nursing staff in hospitals. The study was based on a conceptual model proposed by Jan Howard, a sociologist. After reviewing the literature relevant to personalization of care, analyzing interviews with patients in various settings, and studying biological, psychological, and sociological frames of reference, Howard proposed the following necessary conditions for humanized health care. They were the dimensions of Irreplaceability, Holistic Selves, Freedom of Action, Status Equality, Shared Decision Making and Responsibility, Empathy, and Positive Affect.^ It was proposed that a scale composed of behaviors which reflected Howard's dimensions be developed within the framework of the social environment of nursing care units in hospitals. Nursing units were chosen because hospitals are traditionally organized around nursing care units and because patients spend the majority of their time in hospitals interacting with various levels of nursing personnel.^ Approximately 180 behaviors describing both patient and nursing staff behaviors which occur on nursing units were developed. Behaviors which were believed to be humanistic as well as dehumanistic were included. The items were classified under the dimensions of Howard's model by a purposively selected sample of 42 nurses representing a broad range of education, experience, and clinical areas. Those items with a high degree of agreement, at least 50%, were placed in the questionnaire. The questionnaire consisted of 169 items including six items from the Marlowe Crowne Social Desirability Scale (Short Form).^ The questionnaire, the Social Environment Scale, was distributed to the entire 7 to 3 shift nursing staff (603) of four hospitals including a public county specialty hospital, a public county general and acute hospital, a large university affiliated hospital with all services, and a small general community hospital. Staff were asked to report on a Likert type scale how often the listed behaviors occurred on their units. Three hundred and sixteen respondents (52% of the population) participated in the study.^ An item analysis was done in which each item was examined in relationship to its correlation to its own dimension total and to the totals of the other dimensions. As a result of this analysis, three dimensions, Positive Affect, Irreplaceability, and Freedom of Action were deleted from the scale. The final scale consisted of 70 items with 26 in Shared Decision Making and Responsibility, 25 in Holistic Selves, 12 in Status Equality, and seven in Empathy. The alpha coefficient was over .800 for all scales except Empathy which was .597.^ An analysis of variance by hospital was performed on the means of each dimension of the scale. There was a statistically significant difference between hospitals with a trend for the public hospitals to score lower on the scale than the university or community hospitals. That the scale scores should be lower in crowded, understaffed public hospitals was not unexpected and reflected that the scale had some discriminating ability. These differences were still observed after adjusting for the effect of Social Desirability.^ In summary, there is preliminary evidence based on this exploratory investigation that a reliable scale based on at least four dimensions from Howard's model could be developed to measure the concept of humanistic health care in hospital settings. ^

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In 1941 the Texas Legislature appropriated $500,000 to the Board of Regents of the University of Texas to establish a cancer research hospital. The M. D. Anderson Foundation offered to match the appropriation with a grant of an equal sum and to provide a permanent site in Houston. In August, 1942 the Board of Regent of the University and the Trustees of the Foundation signed an agreement to embark on this project. This institution was to be the first one in the medical center, which was incorporated in October, 1945. The Board of Trustees of the Texas Medical Center commissioned a hospital survey to: - Define the needed hospital facilities in the area - Outline an integrated program to meet these needs - Define the facilities to be constructed - Prepare general recommendations for efficient progress The Hospital Study included information about population, hospitals, and other health care and education facilities in Houston and Harris County at that time. It included projected health care needs for future populations, education needs, and facility needs. It also included detailed information on needs for chronic illnesses, a school of public health, and nursing education. This study provides valuable information about the general population and the state of medicine in Houston and Harris County in the 1940s. It gives a unique perspective on the anticipated future as civic leaders looked forward in building the city and region. This document is critical to an understanding of the Texas Medical Center, Houston and medicine as they are today. SECTIONS INCLUDE: Abstract The Abstract was a summary of the 400 page document including general information about the survey area, community medical assets, and current and projected medical needs which the Texas Medical Center should meet. The 123 recommendations were both general (e.g., 12. “That in future planning, the present auxiliary department of the larger hospitals be considered inadequate to carry an added teaching research program of any sizable scope.”) and specific (e.g., 22. That 14.3% of the total acute bed requirement be allotted for obstetric care, reflecting a bed requirement of 522 by 1950, increasing to 1,173 by 1970.”) Section I: Survey Area This section basically addressed the first objective of the survey: “define the needed hospital facilities in the area.” Based on the admission statistics of hospitals, Harris County was included in the survey, with the recognition that growth from out-lying regional areas could occur. Population characteristics and vital statistics were included, with future trends discussed. Each of the hospitals in the area and government and private health organizations, such as the City-County Welfare Board, were documented. Statistics on the facilities use and capacity were given. Eighteen recommendations and observations on the survey area were given. Section II: Community Program This section basically addressed the second objective of the survey: “outline an integrated program to meet these needs.” The information from the Survey Area section formed the basis of the plans for development of the Texas Medical Center. In this section, specific needs, such as what medical specialties were needed, the location and general organization of a medical center, and the academic aspects were outlined. Seventy-four recommendations for these plans were provided. Section III: The Texas Medical Center The third and fourth objectives are addressed. The specific facilities were listed and recommendations were made. Section IV: Special Studies: Chronic Illness The five leading causes of death (heart disease, cancer, “apoplexy”, nephritis, and tuberculosis) were identified and statistics for morbidity and mortality provided. Diagnostic, prevention and care needs were discussed. Recommendations on facilities and other solutions were made. Section IV: Special Studies: School of Public Health An overview of the state of schools of public health in the US was provided. Information on the direction and need of this special school was also provided. Recommendations on development and organization of the proposed school were made. Section IV: Special Studies: Needs and Education Facilities for Nurses Nursing education was connected with hospitals, but the changes to academic nursing programs were discussed. The needs for well-trained nurses in an expanded medical environment were anticipated to result in significant increased demands of these professionals. An overview of the current situation in the survey area and recommendations were provided. Appendix A Maps, tables and charts provide background and statistical information for the previous sections. Appendix B Detailed census data for specific areas of the survey area in the report were included. Sketches of each of the fifteen hospitals and five other health institutions showed historical information, accreditations, staff, available facilities (beds, x-ray, etc.), academic capabilities and financial information.

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Second Edition. Pp.5-61 General Surgical Necessities, Gauze, Antiseptic Sundries, Surgical Sundries, Rubber Bandages, Catheters, Bougies, Splints, Tents, Emergency Bags, Surgeon's Needles, Operating Instruments, Amputating, Forceps, Aspiration, Cases, Catheters and Directors, Pocket Case Instruments, Dissecting and Post-Mortem Pp.62-118 General Operating - Osteotomy, Mastoid, Trephining, Eye Instruments, Aural, Nasal, Mouth and Throat, Tooth Forceps, Laryngoscopic Sets, Hydraulic Air Compressor, Variocele, Genito Urinary Pp. 119-167 Genito Urinary-Lithotrity, Alimentary, Anal and Rectal, Gynaecological, Pessaries, Microscopes, Syringes Pp.168-205 Chemical Apparatus and Glassware, Physician's Cabinets, Office Furniture, Operating Chairs and Tables, Hospital Beds, Cautery, Electrolytic, Batteries Pp.206-246 Cases, Varicose, Braces, Abdominal Supporters, Trusses, Invalid Chairs and Supplies, Sterilizers, Saddle-Bags, Deformity Apparatus Advertisements: Bandages, Abdominal Supporters, Rubber Supplies, Bags, Batteries, Cotton, Microscopes, Hypodermic Tablets, Atomizers, Furniture, Sterilizers, Syringes

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Hospital districts (HD) that serve the uninsured and the needy face new challenges with the implementation of Medicaid managed. The potential loss of Medicaid patients and revenues may affect the ability to cost-shift and subsequently decrease the ability of the HD to meet its legal obligation of providing care for the uninsured. ^ To investigate HD viability in the current market, the aims of this study were to: (1) describe HD's environment, (2) document the HDs strategic response, (3) document changes in the HD's performance (patient volume) and financial status, and (4) determine whether relationships or trends exist between HD strategy, performance and financial status. ^ To achieve these aims, three Texas HDs (Fort Worth, Lubbock, and San Antonio) were selected to be evaluated. For each HD four types of strategic responses were documented and evaluated for change. In addition, the ability of each HD to sustain operations was evaluated by documenting performance and financial status changes (patient volume and financial ratios). A pre-post case study design method was used in which the Medicaid managed care “rollout'” date, at each site, was the central date. First, a descriptive analysis was performed which documented the environment, strategy, financial status, and patient volume of each hospital district. Second, to compare hospital districts, each hospital district was: (i) classified by a risk index, (ii) classified by its strategic response profile, and (iii) given a performance score based upon pre-post changes in patient volume and financial indicators. ^ Results indicated that all three HDs operate in a high risk environment compared to the rest of the nation. Two HDs chose the “Status Quo” response whereas one HD chose the “Competitive Proactive” response. Medicaid patient volume decreased in two of three HDs whereas indigent patient volume increased in two of the three (an indication of increasing financial risk). Total patient revenues for all HDs increased over the study period; however, the rate of increase slowed for all three after the Medicaid rollout date. All HDs experienced a decline in financial status between pre-post periods with the greatest decline observed in the HD that saw the greatest increase in indigent patient volume. ^ The pre-post case study format used and the lack of control study sites do not allow for assignment of causality. However, the results suggest possible adverse effects of Medicaid managed care and the need for a larger study, based on a stronger evaluation research design. ^

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This investigation compares two different methodologies for calculating the national cost of epilepsy: provider-based survey method (PBSM) and the patient-based medical charts and billing method (PBMC&BM). The PBSM uses the National Hospital Discharge Survey (NHDS), the National Hospital Ambulatory Medical Care Survey (NHAMCS) and the National Ambulatory Medical Care Survey (NAMCS) as the sources of utilization. The PBMC&BM uses patient data, charts and billings, to determine utilization rates for specific components of hospital, physician and drug prescriptions. ^ The 1995 hospital and physician cost of epilepsy is estimated to be $722 million using the PBSM and $1,058 million using the PBMC&BM. The difference of $336 million results from $136 million difference in utilization and $200 million difference in unit cost. ^ Utilization. The utilization difference of $136 million is composed of an inpatient variation of $129 million, $100 million hospital and $29 million physician, and an ambulatory variation of $7 million. The $100 million hospital variance is attributed to inclusion of febrile seizures in the PBSM, $−79 million, and the exclusion of admissions attributed to epilepsy, $179 million. The former suggests that the diagnostic codes used in the NHDS may not properly match the current definition of epilepsy as used in the PBMC&BM. The latter suggests NHDS errors in the attribution of an admission to the principal diagnosis. ^ The $29 million variance in inpatient physician utilization is the result of different per-day-of-care physician visit rates, 1.3 for the PBMC&BM versus 1.0 for the PBSM. The absence of visit frequency measures in the NHDS affects the internal validity of the PBSM estimate and requires the investigator to make conservative assumptions. ^ The remaining ambulatory resource utilization variance is $7 million. Of this amount, $22 million is the result of an underestimate of ancillaries in the NHAMCS and NAMCS extrapolations using the patient visit weight. ^ Unit cost. The resource cost variation is $200 million, inpatient is $22 million and ambulatory is $178 million. The inpatient variation of $22 million is composed of $19 million in hospital per day rates, due to a higher cost per day in the PBMC&BM, and $3 million in physician visit rates, due to a higher cost per visit in the PBMC&BM. ^ The ambulatory cost variance is $178 million, composed of higher per-physician-visit costs of $97 million and higher per-ancillary costs of $81 million. Both are attributed to the PBMC&BM's precise identification of resource utilization that permits accurate valuation. ^ Conclusion. Both methods have specific limitations. The PBSM strengths are its sample designs that lead to nationally representative estimates and permit statistical point and confidence interval estimation for the nation for certain variables under investigation. However, the findings of this investigation suggest the internal validity of the estimates derived is questionable and important additional information required to precisely estimate the cost of an illness is absent. ^ The PBMC&BM is a superior method in identifying resources utilized in the physician encounter with the patient permitting more accurate valuation. However, the PBMC&BM does not have the statistical reliability of the PBSM; it relies on synthesized national prevalence estimates to extrapolate a national cost estimate. While precision is important, the ability to generalize to the nation may be limited due to the small number of patients that are followed. ^

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Medical errors and close calls are pervasive in health care. It is hypothesized that the causes of close calls are the same as for medical errors; therefore learning about close calls can help prevent errors and increase patient safety. Yet despite efforts to encourage close call reporting, close calls as well as medical errors are under-reported in health care. The purpose of this dissertation was to implement and evaluate a web-based anonymous close call reporting system in three units at an urban hospital. ^ The study participants were physicians, nurses and medical technicians (N = 187) who care for patients in the Medical Intermediate Care Unit, the Surgical Intermediate Care Unit, and the Coronary Catheterization Laboratory in the hospital. We provided educational information to the participants on how to use the system and e-mailed and delivered paper reminders to report to the participants throughout the 19-month project. We surveyed the participants at the beginning and at the end of the study to assess their attitudes and beliefs regarding incident reporting. We found that the majority of the health care providers in our study are supportive of incident reporting in general but in practice very few had actually reported an error or a close call, semi-structured interview 20 weeks after we made the close call reporting system available. The purpose of the interviews was to further assess the participants' attitudes regarding incident reporting and the reporting system. Our findings suggest that the health care providers are supportive of medical error reporting in general, but are not convinced of the benefit of reporting close calls. Barriers to close call reporting cited include lack of time, heavy workloads, preferring to take care of close calls "on the spot", and not seeing the benefits of close call reporting. Consequently only two = close calls were reported via the system by two separate caregivers during the project. ^ The findings suggest that future efforts to increase close call reporting must address barriers to reporting, especially the belief among care givers that it is not worth taking time from their already busy schedules to report close calls. ^