OBJECTIVE: To examine the extent to which Illinois nursing facilities have developed relationships with other healthcare providers, particularly managed care organizations (MCOs). STUDY DESIGN: A cross-sectional survey of nursing facilities designed to determine: 1) relationship objectives; 2) obstacles to developing relationships; 3) currently available services; 4) staffing for these services and; 5) nursing facility approaches to networking. The survey was sent to a census sample of 867 nursing facilities serving the elderly in Illinois. Descriptive and multivariate logistic regression analyses of relationships determined to be formal/risk-sharing were performed. STUDY POPULATION: The sample included 523 Illinois nursing facilities. A total response rate of 60% was achieved (523/867). RESULTS: Higher strategic goals, urban location, nonprofit ownership status, higher percentages of private pay and/or Medicare clients (vs Medicaid), and provision of home care and subacute services were all significant predictors of formal or risk-sharing relationships with MCOs. CONCLUSIONS: Facilities with more relationships and higher goals have more formal/risk-sharing relationships with MCOs. Facilities in urban areas have more relationships, likely due to the fact that rural facilities have fewer options and operate in different markets. In addition, nursing facilities rely on Medicare referrals from hospitals, and these Medicare patients, especially those in urban areas, are increasingly controlled by MCOs. (+info)
Medical libraries, bioinformatics, and networked information: a coming convergence?
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Libraries will be changed by technological and social developments that are fueled by information technology, bioinformatics, and networked information. Libraries in highly focused settings such as the health sciences are at a pivotal point in their development as the synthesis of historically diverse and independent information sources transforms health care institutions. Boundaries are breaking down between published literature and research data, between research databases and clinical patient data, and between consumer health information and professional literature. This paper focuses on the dynamics that are occurring with networked information sources and the roles that libraries will need to play in the world of medical informatics in the early twenty-first century. (+info)
Effect of the ownership of dialysis facilities on patients' survival and referral for transplantation.
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BACKGROUND: More than 200,000 patients with end-stage renal disease undergo dialysis in the United States each year, about two thirds in for-profit centers. Economic pressures, such as the decline in inflation-adjusted Medicare payments for dialysis, may compromise the quality of care. Facilities may also be reluctant to refer patients to be evaluated for transplantation because of the loss of revenues from dialysis after patients receive transplants. It is unknown whether for-profit facilities respond more aggressively than not-for-profit facilities to these financial pressures. Therefore, we examined the effect of for-profit ownership of dialysis facilities on patients' survival and referral for possible transplantation. METHODS: We used data from the U.S. Renal Data System to assemble a nationally representative cohort of patients with end-stage renal disease of recent onset. We followed patients for a minimum of three years and a maximum of six years, until death, placement on the waiting list for a renal transplant, or loss to follow-up, or until May 31, 1996. We used proportional-hazards models to assess the effect of the profit status of the dialysis facility on patients' outcomes and adjusted for differences in sociodemographic, clinical, and facility-level characteristics. RESULTS: Of the 3681 patients who were eligible for inclusion, we included 3569 in the analysis of mortality and 3441 in the analysis of the waiting list. The crude mortality rate per 100 person-years of end-stage renal disease was 21.2 for patients treated in for-profit facilities and 17.1 for patients treated in not-for-profit centers (adjusted relative hazard, 1.20; 95 percent confidence interval, 1.02 to 1.42). The likelihood of being placed on the waiting list for a renal transplant was lower for patients treated at for-profit centers (adjusted relative hazard, 0.74; 95 percent confidence interval, 0.56 to 0.98). CONCLUSIONS: In the United States, for-profit ownership of dialysis facilities, as compared with not-for-profit ownership, is associated with increased mortality and decreased rates of placement on the waiting list for a renal transplant. (+info)
The genome sequence DataBase.
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The Genome Sequence DataBase (GSDB) is a database of publicly available nucleotide sequences and their associated biological and bibliographic information. Several notable changes have occurred in the past year: GSDB stopped accepting data submissions from researchers; ownership of data submitted to GSDB was transferred to GenBank; sequence analysis capabilities were expanded to include Smith-Waterman and Frame Search; and Sequence Viewer became available to Mac users. The content of GSDB remains up-to-date because publicly available data is acquired from the International Nucleotide Sequence Database Collaboration databases (IC) on a nightly basis. This allows GSDB to continue providing researchers with the ability to analyze, query and retrieve nucleotide sequences in the database. GSDB and its related tools are freely accessible from the URL: http://www.ncgr.org (+info)
Capital finance and ownership conversions in health care.
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This paper analyzes the for-profit transformation of health care, with emphasis on Internet start-ups, physician practice management firms, insurance plans, and hospitals at various stages in the industry life cycle. Venture capital, conglomerate diversification, publicly traded equity, convertible bonds, retained earnings, and taxable corporate debt come with forms of financial accountability that are distinct from those inherent in the capital sources available to nonprofit organizations. The pattern of for-profit conversions varies across health sectors, parallel with the relative advantages and disadvantages of for-profit and nonprofit capital sources in those sectors. (+info)
Who is enrolled in for-profit vs. nonprofit Medicare HMOs?
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We compare the characteristics of enrollees in for-profit and nonprofit Medicare health plans using nationwide data from the 1996 Medicare Current Beneficiary Survey. We find few differences in overall health status, limitations in activities of daily living (ADLs), or history of chronic disease. However, older Americans enrolled in for-profit plans are substantially poorer and less educated than those enrolled in nonprofit plans, are more likely to have joined their plan recently, and are more likely to have joined a plan with the expectation of reducing their out-of-pocket health care costs. (+info)
Hospital ownership and preventable adverse events.
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OBJECTIVE: To determine if type of hospital ownership is associated with preventable adverse events. DESIGN: Medical record review of a random sample of 15,000 nonpsychiatric, non-Veterans Administration hospital discharges in Utah and Colorado in 1992. MEASUREMENTS AND MAIN RESULTS: A two-stage record review process using nurse and physician reviewers was used to detect adverse events. Preventability was then judged by 2 study investigators who were blinded to hospital characteristics. The association among preventable adverse events and hospital ownership was evaluated using logistic regression with nonprofit hospitals as the reference group while controlling for other patient and hospital characteristics. We analyzed 4 hospital ownership categories: nonprofit, for-profit, major teaching government (e.g., county or state ownership), and minor or nonteaching government. RESULTS: When compared with patients in nonprofit hospitals, multivariate analyses adjusting for other patient and hospital characteristics found that patients in minor or nonteaching government hospitals were more likely to suffer a preventable adverse event of any type (odds ratio [OR] 2.46; 95% confidence interval [CI], 1.45 to 4.20); preventable operative adverse events (OR, 4.85; 95% CI, 2.44 to 9.62); and preventable adverse events due to delayed diagnoses and therapies (OR, 4.27; 95% CI, 1.48 to 12.31). Patients in for-profit hospitals were also more likely to suffer preventable adverse events of any type (OR, 1.57; 95% CI, 1.03 to 2.38); preventable operative adverse events (OR, 2.63; 95% CI, 1.42 to 4.87); and preventable adverse events due to delayed diagnoses and therapies (OR, 4.15; 95% CI, 1. 84 to 9.34). Patients in major teaching government hospitals were less likely to suffer preventable adverse drug events (OR, 0.38; 95% CI, 0.16 to 0.89). CONCLUSIONS: Patients in for-profit and minor teaching or nonteaching government-owned hospitals were more likely to suffer several types of preventable adverse events. Further research is needed to determine how these events could be prevented. (+info)
The National Nursing Home Survey: 1995 summary.
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OBJECTIVE: The 1995 National Nursing Home Survey (NNHS) was conducted to collect data on nursing homes and their current residents. This report presents detailed data on the characteristics of the nursing homes including ownership, certification, bed size, location, affiliation, and services provided. Data on current residents are presented by basic demographics, living arrangement prior to admission, functional status, and other health and personal characteristics of the residents. METHODS: The 1995 NNHS is a sample survey consisting of a two-stage design with a probability sample of 1,500 nursing facilities in the first stage and up to six current residents from each facility in the second stage. RESULTS: About 1.5 million residents were receiving care in an estimated 16,700 nursing homes in 1995. Nearly 1.8 million beds were available and facilities operated at about 87 percent of their capacity. Nearly 90 percent of the residents were 65 years and over. They were predominantly female and white with a large portion needing assistance in the activities of daily living (ADL's) and instrumental activities of daily living (IADL's). (+info)