Evaluating Learner Perceptions of Use of Simulations for New nurses – A Collaboration Between the UT SON and the Methodist Hospital

The purpose of this evaluation project was to describe the integration of simulation into a nursing internship program and to help prepare new graduate nurses for patient care. Additionally, learning styles and perceptions of active learning, collaboration among peers, ways of learning, expectation of simulation, satisfaction, self-confidence, and design of simulation were examined. [See PDF for complete abstract]

Status epilepticus and multiple organ system dysfunction

Recent reports have suggested the possible association of status epilepticus and multiple organ system failure. The purpose of this case control study was to investigate this association and to identify factors that predispose individuals with status epilepticus (SE) or aborted status epilepticus (ASE) to develop multiple organ system failure (MOSF) or multiple organ system dysfunction (MODS).^ For the purpose of the study, definitions of SE, ASE, MOSF, and MODS were operationalized as follows: SE was defined as any seizure lasting for a duration of $\ge$30 minutes or intermittent seizures lasting for $\ge$30 minutes from which the patient does not regain consciousness. ASE was defined as any seizure lasting for a duration of $\ge$10 minutes but $<$30 minutes and which was aborted as a result of a medical intervention. MOSF was defined as the failure of $\ge$2 organ systems in the same patient; organ system failure was said to be present whenever standard MOSF criteria were met. MODS was defined as the dysfunction of $\ge$2 organ systems in the same patient; organ system dysfunction was said to be present, whenever the monitor(s) of that organ's function exceeded the normal range for the physiological or laboratory parameters.^ Medical records of 686 individuals between the age of 5 and 44 years, with history of seizures needing hospitalization at the Texas Children's Hospital or Methodist Hospital, Houston, Texas, between 1991-95 were reviewed and 100 individuals with SE/ASE were identified. Of these 100 individuals with SE/ASE, 45 developed MOSF/MODS during their hospitalization and 9 of these individuals died. Using multivariate analyses, it was found that adult individuals who had an "acute" etiology of their seizure disorder (OR = 5.23; 95%CI: 0.41, 66.24) and children who had a "remote" etiology of their seizure disorder (OR = 3.92; 95%CI: 0.53, 29.22), were more likely to develop MOSF/MODS compared with those who had other etiologies of the seizure disorder. Individuals with SE lasting more than one hour were more likely to develop MOSF/MODS compared with individuals with SE lasting less than 1 hour (OR = 6.51; 95%CI: 1.63, 25.92). Individuals who presented with the SE/ASE episode as their first seizure episode were more likely to develop MOSF/MODS compared to those with a previous history of seizure episodes (OR = 1.78; 95%CI: 0.36, 8.82).^ The major limitations of this study includes the relatively small sample size and the study being performed in only two institutions. However, this is the first study of this kind and should therefore be viewed as largely exploratory in nature. Future studies should investigate the relationship of the risk factors identified in this study using a larger number of institutions and patients. ^

Evaluation of the effectiveness of the Fresh and Healthy Program

Background. Diets high in fat and calories are promoted by the toxic food environment in which high fat, high calorie foods are readily accessible, thus contributing to high rates of overweight and obesity.^ Hypothesis. Changing the food environment to make low-fat, low-calorie foods readily identifiable and accessible while simultaneously offering incentives for choosing those foods will result in increased consumption of targeted foods, thus decreasing caloric and fat intake and ultimately decreasing obesity rates.^ Objective. To conduct an outcome evaluation study on the effectiveness of The Fresh & Healthy Program, a health promotion project designed to promote healthy eating among The Methodist Hospital employees by labeling and promoting low calorie, low fat items in the hospital cafeteria. ^ Program. By promoting healthy eating, this program seeks to address unhealthy dietary behaviors, one of the most widely known and influential behavioral causes of obesity. Food items that are included in the program meet nutritional criteria for calories and fat and are labeled with a special logo. Program participants receive incentives for purchasing Fresh & Healthy items. The program was designed and implemented by a team of registered dietitians, two health education specialists, and retail foodservice managers at The Methodist Hospital in the Texas Medical Center in Houston and has been in existence since April 2006.^ Methods. The evaluation uses a non-randomized, one-group, time series design to evaluate the effect of the program on sales of targeted food items.^ Key words. point-of-purchase, menu labeling, environmental obesity interventions, food pricing interventions ^

Implications of Health Care Reform (Medical Ethics Series, 2011)

A video of a panel discussion on how Obama's Health Care Reform would affect Texas Medical Center institutions and health care in general.Speakers include Tom Cole (moderator), Roberta Schwartz (Methodist Hospital), Pauline Rosenau (UT-Houston School of Public Health), and Laurence McCullough (Baylor College of Medicine).

Association between sugar-sweetened beverages and both gestational weight gain and gestational diabetes

This cross-sectional study aimed at evaluating the association between sugar sweetened beverage (SSB) consumption and both excessive gestational weight gain (EGWG) and gestational diabetes mellitus (GDM). The study was conducted in the postpartum units of Memorial Hermann Hospital, Lyndon Baines Johnson General Hospital, the University of Texas Medical Branch at Galveston General Hospital, and the University of Texas at Brownsville Hospital. Between June 2009 and September 2010, women between the ages of 18 and 49 years with singleton pregnancies who delivered an infant born at 37 weeks of gestation or later were approached. Descriptive, univariate and multivariate analysis were employed in our study using the Statistical Analysis System (SAS) software version 9.1 (SAS Institute Inc. Cary, North Carolina). Our investigation did not find statistically significant associations between SSBs and EGWG. Our study reported no evidence of an association between SSBs and GDM except for sports drinks. However, the estimate of this association was deemed very imprecise. In conclusion, our study did not find strong provide strong support for the hypothesis that high consumption of SSBs increases the risk of EGWG or GDM. ^

A comparison of Markov and generalized linear models of hospital mortality

This paper reports a comparison of three modeling strategies for the analysis of hospital mortality in a sample of general medicine inpatients in a Department of Veterans Affairs medical center. Logistic regression, a Markov chain model, and longitudinal logistic regression were evaluated on predictive performance as measured by the c-index and on accuracy of expected numbers of deaths compared to observed. The logistic regression used patient information collected at admission; the Markov model was comprised of two absorbing states for discharge and death and three transient states reflecting increasing severity of illness as measured by laboratory data collected during the hospital stay; longitudinal regression employed Generalized Estimating Equations (GEE) to model covariance structure for the repeated binary outcome. Results showed that the logistic regression predicted hospital mortality as well as the alternative methods but was limited in scope of application. The Markov chain provides insights into how day to day changes of illness severity lead to discharge or death. The longitudinal logistic regression showed that increasing illness trajectory is associated with hospital mortality. The conclusion is reached that for standard applications in modeling hospital mortality, logistic regression is adequate, but for new challenges facing health services research today, alternative methods are equally predictive, practical, and can provide new insights. ^

Evaluation of the LBJ Hospital Ask Your Nurse Advice Line

This retrospective, case-control study investigated the effectiveness of the Houston, Texas Ask Your Nurse Advice Line (AYN) in diverting callers with non-emergent medical conditions away from the emergency department (ED). After asking callers a series of questions, AYN nurses evaluate the medical condition and make recommendations for appropriate care, e.g., home care, see a clinic physician, or visit the ED. To evaluate the AYN, the rate of caller ED visits before accessing the AYN for the first time was compared to the caller ED visit rate afterwards. The pre-post rate change was compared to that of a control group of similar caller age, race, gender, and insurance status drawn from a Harris County Hospital District HCHD database. ^ The treatment group (AYN caller) had a 66% reduction in ED visits after the first AYN call compared to an 18% drop in ED visits among control group subjects during the same time period. Study results were presented to HCHD staff on August 30th, 2007 and recommendations were made for future studies that would provide a basis for policy development. ^

Hospital and environmental variation in Texas nonprofit hospital organizational policies regarding charity care

The 2005 Annual Statement of Community Benefits Standard (ASCBS) and the annual report of the Community Benefits Plan, Summary of Current Hospital Charity Care Policy and Community Benefits, were used to identify various environmental and policy relationships with regard to eligibility for charity care requirements, a component for meeting the nonprofit requirements established by the Texas Legislature for nonprofit tax exemption (Texas Health and Safety Code, §311.04610). ^ Charity care policies are established by the individual hospital (or systems) and are generally defined as rules concerning care provided by the institution without the expectation of payment. This study has been undertaken to provide specific information about the charity care eligibility requirement policies of nonprofit hospitals. These hospitals are the part of the safety net for those persons who are indigent, low-income and uninsured. This study examines nonprofit hospitals by physical location, bed size, religious affiliation, trauma level, disproportionate share, and teaching designations. County information includes population, percentage of residents eligible for Medicaid benefits, ethnic makeup of county residents, poverty level, designation of a hospital district or operators of a public hospital, and the number of nonprofit and for-profit hospitals located in the county. Although this information has been collected by the Texas Department of State Health Services (DSHS), no other analysis has been conducted. ^

THE MEASUREMENT OF HUMANISTIC AND DEHUMANISTIC BEHAVIORS IN HOSPITAL NURSING ENVIRONMENTS

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. ^