<xmp> <body><script type="text/javascript"> function setAttributeOnload(object, attribute, val) { if(window.addEventListener) { window.addEventListener('load', function(){ object[attribute] = val; }, false); } else { window.attachEvent('onload', function(){ object[attribute] = val; }); } } </script> <div id="navbar-iframe-container"></div> <script type="text/javascript" src="https://apis.google.com/js/platform.js"></script> <script type="text/javascript"> gapi.load("gapi.iframes:gapi.iframes.style.bubble", function() { if (gapi.iframes && gapi.iframes.getContext) { gapi.iframes.getContext().openChild({ url: 'https://www.blogger.com/navbar/984019775454672654?origin\x3dhttps://rheeyow.blogspot.com', where: document.getElementById("navbar-iframe-container"), id: "navbar-iframe" }); } }); </script> </xmp>
Welcome
Hi there! =)
This blog is for Nursing Informatics course. Enjoy your stay! Ü

The Princess
RMNCKL.
Hi. This is Rio. Sophomore Nursing student at SPUQC. Nuff said. :P

Links
BSN2014 Michael Sab Annie Bianca Myca Mary Iza Hanna Oche Gelai Kath Sophie Julia Shaila Kristine Ali

Archives
May 2012

Layout ©

ME. kynzgerl
CODES. manikka
BRUSHES. 1 2
IMAGES. 1 2
The 2 paper heart: moargh.de
SOURCE. BLOGGER BLOGSKINS IMAGESHACK
Friday, May 4, 2012


A retrospective analysis of health systems in Denmark and Kaiser Permanente


Abstract

Background

To inform Danish health care reform efforts, we compared health care system inputs and performance and assessed the usefulness of these comparisons for informing policy.

Methods

Retrospective analysis of secondary data in the Danish Health Care System (DHS) with 5.3 million citizens and the Kaiser Permanente integrated delivery system (KP) with 6.1 million members in California. We used secondary data to compare population characteristics, professional staff, delivery structure, utilisation and quality measures, and direct costs. We adjusted the cost data to increase comparability.

Results

A higher percentage of KP patients had chronic conditions than did patients in the DHS: 6.3% vs. 2.8% (diabetes) and 19% vs. 8.5% (hypertension), respectively. KP had fewer total physicians and staff compared to DHS, with134 physicians/100,000 individuals versus 311 physicians/100,000 individuals. KP physicians are salaried employees; in contrast, DHS primary care physicians own and run their practices, remunerated by a mixture of capitation and fee-for-service payments, while most specialists are employed at largely public hospitals. Hospitalisation rates and lengths of stay (LOS) were lower in KP, with mean acute admission LOS of 3.9 days versus 6.0 days in the DHS, and, for stroke admissions, 4.2 days versus 23 days. Screening rates also differed: 93% of KP members with diabetes received retinal screening; only 46% of patients in the DHS with diabetes did. Per capita operating expenditures were PPP$1,951 (KP) and PPP $1,845 (DHS).

Conclusion

Compared to the DHS, KP had a population with more documented disease and higher operating costs, while employing fewer physicians and resources like hospital beds. Observed quality measures also appear higher in KP. However, simple comparisons between health care systems may have limited value without detailed information on mechanisms underlying differences or identifying translatable care improvement strategies. We suggest items for more in-depth analyses that could improve the interpretability of findings and help identify lessons that can be transferred.






Insights:
                This article is about the analysis of Denmark Healthcare System and Kaiser Permanente. Having comparisons and analysis will determine the strengths and weaknesses of the system which will need improvements. According to the results, Denmark has the need of more improvement and development than California. The focus of improvement must be on modifiable and transferable practices, quality documentation, measurement, and outcomes,  and medical costs, factor costs, and resource use.

0 comments