- 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
" I5 _4 \1 H' O' t# c% bSocial attention has been increasingly paid to health care systems varied in effectiveness and
! P5 _$ z1 m* {3 Mefficiency. This ** addresses the assessment and prediction of health care system. First and
& P3 t1 x4 B7 J! m5 dforemost, a metrics list is established and refined for further assessment. Secondly, model tests are
, m' H E: m1 tconducted between countries. Thirdly, a predictive model based on the relationship between% N; V" n1 f5 m' C, ~; F
changes and performance is proposed for restructure of the United States health system.2 E8 w3 w$ i& o o+ M& ^$ a
Under the guidance of WHO Health System Performance Framework, we gain an insight of the
& S6 A0 S1 a0 Y7 @$ {5 _* Hproblem. Focusing on the outcomes, health, responsiveness and financial protection, we devise
' c; L% ~+ ~ d8 F2 wmetrics to build an index system for evaluat ion. Lists which describe each metric are presented
: E& X" h5 W+ @# o% u* wafterwards. Using Comprehensive Evaluation Method (CEM), combinations of metrics are carried
8 R2 H0 c! F9 L) i1 pout, yielding metric o for effectiveness and for efficiency , which are the ultimate goals of A o P
2 b3 Q2 {7 ^$ A9 Uhealth care system. With these metrics, we can compare the relative quality of systems. After a
/ o: s8 w' s. `+ v% }; c+ vthorough search of data sources, we refine the metrics list based on data availability, and also" A7 Q+ q' w/ d& a
present the estimating and obtaining approaches.
8 q4 o9 s$ E, fFor the purpose of international comparison, Principal Components Analysis is applied to choose& x. i8 @, |, }% V4 t1 e
the most important and viable metrics. Life expectancy at birth, prevalence of tuberculosis,% [# C3 D) g2 Q6 K1 U9 G! L$ q
immunization coverage among 1-years-olds and fairness of financial contribution are finally: Z; u: X& E% }9 Y. n- P: j2 y4 `
selected. Then modified Analytical Hierarchy Process is processed to weigh each metric. The test& R A/ y5 H) H3 O. C8 z) p
results between the United States and two other countries are showed below:
6 i; X5 {4 K1 }: n* [: fInvestigating the discrepancy between results, we attribute the cause to the differences in devise of5 F# B$ {/ t) Z) w
metrics and weights in CEM.
1 l: a# R& w7 }- P) nThen we propose a novel framework for prediction of restructure. Stepwise Regression Analysis is/ k3 A- K1 m/ _1 L: |, F5 Y) u
introduced to find the relationship between the major contributing input factors and outcomes.3 g' o; _# M% F* H3 Q
Further more, after analyzing the variations of functions, possible policy changes to improve are
2 T# e9 \) X4 p* c$ O) t! P! T2 _recommended, including strengthening primary care system and conducting a single payer system.7 G; o7 Q- _& w0 {
Finally, the strength and weakness of our models are summarized, as well as two urgent aspects for
, |' G3 x# ^8 a; a, Xfuture work. The main achievements and contributions of this ** are concluded in the end. |
|