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. ^

Effectiveness of Texas Children's Hospital's Saturday Wellness Program for Children with special health care needs

Children with Special Health Care Needs comprise approximately 13% of children within the state of Texas. In addition to their primary diagnosis, it is estimated that approximately 18% of these children with special health care needs are overweight. Many times parents of children with special health care needs are extremely busy dealing with the daily responsibilities required to care for a child with a chronic illness, and thus, lose connections with their local communities and available resources for health needs such as obesity. Texas Children’s Hospital’s Wellness Program for Children with Special Health Care Needs is a family-centered wellness program to prevent obesity in this population; however, no formal evaluation of the program has been conducted. The purpose of this study was to assess the effectiveness of the Texas Children’s Saturday Wellness Program on weight status, nutrition knowledge, and the frequency of physical activity of children who participated in the program. A secondary data analysis was conducted with 50 children with special health care needs and their families who participated in the program during 2007 and 2008. A pre post-test study design was used with data collected immediately before and after participation in the 4 week program. Data measures included demographics (age, race, etc.), anthropometrics (height and weight), a quality of life survey focusing on nutrition and physical activity behaviors, and a knowledge survey on physical activity and nutrition. Of 50 participants, 33 (66%) completed the program. Children participating in the program showed a significant decrease in BMI (mean=29.83 to mean=29.22, BMI z score p<0.01), as well as frequency of physical activity (p<0.05) and knowledge (p<0.01). Texas Children’s Hospital’s wellness program for children with special health care needs provided a promising structure for a wellness program within a multi-ethnic special needs population; however, long term effect research is needed with a larger sample size and more comprehensive outcomes and process measures. Nonetheless, this program indicates the effectiveness and feasibility of a family-based approach to weight loss in children with special needs.^

Efforts of hospital system wound care teams to reduce hospital acquired pressure ulcers

New reimbursement policies developed by the Centers for Medicare and Medicaid Services (CMS) are revolutionizing the health care landscape in America. The policies focus on clinical quality and patient outcomes. As part of the new policies, certain hospital acquired conditions have been identified by Medicare as "reasonably preventable". Beginning October 1, 2008, Medicare will no longer reimburse hospitals for these conditions developed after admission, pressure ulcers are among the most common of these conditions.^ In this practice-based culminating experience the objective was to provide a practical account of the process of program development, implementation and evaluation in a public health setting. In order to decrease the incidence of pressure ulcers, the program development team of the hospital system developed a comprehensive pressure ulcer prevention program using a "bundled" approach. The pressure ulcer prevention bundle was based on research supported by the Institute for Healthcare Improvement, and addressed key areas of clinical vulnerability for pressure ulcer development. The bundle consisted of clinical processes, policies, forms, and resources designed to proactively identify patients at risk for pressure ulcer development. Each element of the bundle was evaluated to ensure ease of integration into the workflow of nurses and clinical ancillary staff. Continued monitoring of pressure ulcer incidence rates will provide statistical validation of the impact of the prevention bundle. ^

The determinants of improvements in health outcomes and of cost reduction in hospital inpatient care

This study aims to address two research questions. First, ‘Can we identify factors that are determinants both of improved health outcomes and of reduced costs for hospitalized patients with one of six common diagnoses?’ Second, ‘Can we identify other factors that are determinants of improved health outcomes for such hospitalized patients but which are not associated with costs?’ The Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS) database from 2003 to 2006 was employed in this study. The total study sample consisted of hospitals which had at least 30 patients each year for the given diagnosis: 954 hospitals for acute myocardial infarction (AMI), 1552 hospitals for congestive heart failure (CHF), 1120 hospitals for stroke (STR), 1283 hospitals for gastrointestinal hemorrhage (GIH), 979 hospitals for hip fracture (HIP), and 1716 hospitals for pneumonia (PNE). This study used simultaneous equations models to investigate the determinants of improvement in health outcomes and of cost reduction in hospital inpatient care for these six common diagnoses. In addition, the study used instrumental variables and two-stage least squares random effect model for unbalanced panel data estimation. The study concluded that a few factors were determinants of high quality and low cost. Specifically, high specialty was the determinant of high quality and low costs for CHF patients; small hospital size was the determinant of high quality and low costs for AMI patients. Furthermore, CHF patients who were treated in Midwest, South, and West region hospitals had better health outcomes and lower hospital costs than patients who were treated in Northeast region hospitals. Gastrointestinal hemorrhage and pneumonia patients who were treated in South region hospitals also had better health outcomes and lower hospital costs than patients who were treated in Northeast region hospitals. This study found that six non-cost factors were related to health outcomes for a few diagnoses: hospital volume, percentage emergency room admissions for a given diagnosis, hospital competition, specialty, bed size, and hospital region.^

Kawasaki syndrome: Cluster analysis of incident cases presenting to a pediatric tertiary care hospital in Texas from January 1, 2005 to December 31, 2009

Background: Despite almost 40 years of research into the etiology of Kawasaki Syndrome (KS), there is little research published on spatial and temporal clustering of KS cases. Previous analysis has found significant spatial and temporal clustering of cases, therefore cluster analyses were performed to substantiate these findings and provide insight into incident KS cases discharged from a pediatric tertiary care hospital. Identifying clusters from a single institution would allow for prospective analysis of risk factors and potential exposures for further insight into KS etiology. ^ Methods: A retrospective study was carried out to examine the epidemiology and distribution of patients presenting to Texas Children’s Hospital in Houston, Texas, with a diagnosis of Acute Febrile Mucocutaneous Lymph Node Syndrome (MCLS) upon discharge from January 1, 2005 to December 31, 2009. Spatial, temporal, and space-time cluster analyses were performed using the Bernoulli model with case and control event data. ^ Results: 397 of 102,761 total patients admitted to Texas Children’s Hospital had a principal or secondary diagnosis of Acute Febrile MCLS upon over the 5 year period. Demographic data for KS cases remained consistent with known disease epidemiology. Spatial, temporal, and space-time analyses of clustering using the Bernoulli model demonstrated no statistically significant clusters. ^ Discussion: Despite previous findings of spatial-temporal clustering of KS cases, there were no significant clusters of KS cases discharged from a single institution. This implicates the need for an expanded approach to conducting spatial-temporal cluster analysis and KS surveillance given the limitations of evaluating data from a single institution.^

Differences in performance for quality of care indicators for acute myocardial infarction (AMI) across various hospital categories in Texas

The study analyzed Hospital Compare data for Medicare Fee-for-service patients at least 65 years of age to determine whether hospital performance for AMI outcome and processes of care measures differ amongst Texas hospitals with respect to ownership status (for profit vs. not-for-profit), academic status (teaching vs. non-teaching) and geographical setting (rural vs. urban). ^ The study found a statistically significant difference between for-profit and not-for-profit hospitals in four process-of-care measures (aspirin at discharge, P=0.028; ACE or ARB inhibitor for LSVD, P=0.048; Smoking cessation advice: P=0.034; outpatients who got aspirin with 24 hours of arrival in the ED, P=0.044). No significant difference in performance was found between COTH-member teaching and non-teaching hospitals for any of the eight process-of-care measures or the two outcome measures for AMI. The study was unable to compare performance based on geographic setting of hospitals due to lack of sufficient data for rural hospitals. ^ The results of the study suggest that for-profit Texas hospitals might be slightly better than not-for –profit hospitals at providing possible heart attack patients with certain processes of care.^

Effectiveness of home care programmes for patients with incurable cancer on their quality of life and time spent in hospital: systematic review

Objective: To investigate whether for patients with incurable cancer comprehensive home care programmes are more effective than standard care in maintaining the patients’ quality of life and reducing their “readmission time” (percentage of days spent in hospital from start of care till death).

District of Columbia : barriers to Medicaid enrollment contribute to hospital uncompensated care : report to the Committee on the District of Columbia, House of Representatives /

"B-251057"--P. 1.

Responsible community care of former mental hospital patients /

Mode of access: Internet.

Hospital beds in Illinois : alternative systems and bed counts : a report for the Certificate of Need Committee, Illinois Health Care Cost Containment Council /

Includes bibliographical references.

Outcomes for elderly patients with mental illness following relocation from a stand-alone psychiatric hospital to community-based extended care units

Objective: To assess the outcomes for a group of elderly patients with mental illness following their discharge from a stand-alone psychiatric facility to seven extended care units (ECUs). Method: All patients (n = 60) who were relocated to the ECUs were assessed using a number of standardized clinical and general functioning instruments at 6 months and 6 weeks pre-move, and again at 6 weeks, 6 months and 18 months post-move. Results: By 18 months post-discharge, 13 of the 60 patients (21.7%) had died and seven others had been transferred to nursing homes. Those who died were older and had significantly higher levels of physical ill health when compared to those who did not die. Changes on measures of clinical and behavioural functioning in those who remained in the study did not reach statistical significance by 18 months post-move. However, participants did demonstrate improvements in quality of life with significantly higher scores on measures of social contact and community access. Conclusions: The mortality observed in the follow-up period is likely to be related to physical ill health and old age rather than the trauma associated with relocation. While overall functioning did not improve following relocation, patients had more independence and greater access to community-based activities.