- 在线时间
- 0 小时
- 最后登录
- 2010-4-11
- 注册时间
- 2010-1-22
- 听众数
- 3
- 收听数
- 0
- 能力
- 0 分
- 体力
- 171 点
- 威望
- 0 点
- 阅读权限
- 20
- 积分
- 61
- 相册
- 0
- 日志
- 1
- 记录
- 4
- 帖子
- 17
- 主题
- 0
- 精华
- 0
- 分享
- 0
- 好友
- 0
升级   58.95% 该用户从未签到
|
6#
发表于 2010-1-22 13:57
|只看该作者
|
|邮箱已经成功绑定
Summary
4 c: k) d: W( g5 _Social attention has been increasingly paid to health care systems varied in effectiveness and
5 j6 b9 ]) Q& H& ]! I) J0 ^+ h, z* iefficiency. This ** addresses the assessment and prediction of health care system. First and- e( [. e9 P6 v2 T& s H
foremost, a metrics list is established and refined for further assessment. Secondly, model tests are5 E H0 }. }$ g6 O( d4 |
conducted between countries. Thirdly, a predictive model based on the relationship between
" I _5 ?- ^& g9 i$ Hchanges and performance is proposed for restructure of the United States health system.
$ y- @ b* a6 ]2 ~Under the guidance of WHO Health System Performance Framework, we gain an insight of the3 w8 m: T: P' a0 T$ e/ I/ V
problem. Focusing on the outcomes, health, responsiveness and financial protection, we devise
' a; X' M( p# j' ^metrics to build an index system for evaluat ion. Lists which describe each metric are presented' H3 p; Q6 M% H- Q$ _' C! r+ H2 L/ Q
afterwards. Using Comprehensive Evaluation Method (CEM), combinations of metrics are carried
# r# Y! G+ S. Gout, yielding metric o for effectiveness and for efficiency , which are the ultimate goals of A o P; \, E. e. S" D8 V, ~0 F
health care system. With these metrics, we can compare the relative quality of systems. After a* e! ]6 x7 J! i; N6 z- Y' a" M
thorough search of data sources, we refine the metrics list based on data availability, and also/ `8 R( ~ o5 u
present the estimating and obtaining approaches.& ^; f! W. N) y. {$ T" V* Z
For the purpose of international comparison, Principal Components Analysis is applied to choose
- H7 v6 X' d' j% i* B+ p$ }the most important and viable metrics. Life expectancy at birth, prevalence of tuberculosis,
( b; }. H) e8 u, z2 mimmunization coverage among 1-years-olds and fairness of financial contribution are finally" e8 x: g; Y t; Q/ L- u+ K/ d
selected. Then modified Analytical Hierarchy Process is processed to weigh each metric. The test
4 f! }. p6 I3 U% b3 Jresults between the United States and two other countries are showed below:& [0 j8 e, [8 c( F
Investigating the discrepancy between results, we attribute the cause to the differences in devise of
6 x# g, q" G9 h, Rmetrics and weights in CEM.! m* A8 U$ @- E X" M7 n$ p
Then we propose a novel framework for prediction of restructure. Stepwise Regression Analysis is
7 c" Y* N3 z9 [+ S: A% ^introduced to find the relationship between the major contributing input factors and outcomes.
% @% K1 `- n) ^) _1 ]0 \Further more, after analyzing the variations of functions, possible policy changes to improve are
. G1 k6 [4 A% z0 t0 Precommended, including strengthening primary care system and conducting a single payer system.9 r* G4 ]- x! j
Finally, the strength and weakness of our models are summarized, as well as two urgent aspects for
1 ]1 l' {2 t4 ^8 M6 ?$ {future work. The main achievements and contributions of this ** are concluded in the end. |
|