- 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
Summary3 j& _6 A% {" ~$ q8 q% j: j
Social attention has been increasingly paid to health care systems varied in effectiveness and8 D! J4 a* U, y* h; l; A
efficiency. This ** addresses the assessment and prediction of health care system. First and1 I T" n$ |9 F$ C4 T, @
foremost, a metrics list is established and refined for further assessment. Secondly, model tests are
b3 N2 G5 W# Z) ^, Vconducted between countries. Thirdly, a predictive model based on the relationship between" O1 F. F$ v. A: R
changes and performance is proposed for restructure of the United States health system.
% K M, h; V. r0 i' [Under the guidance of WHO Health System Performance Framework, we gain an insight of the ~3 w6 B' h8 L
problem. Focusing on the outcomes, health, responsiveness and financial protection, we devise. Z4 {1 m, i. W8 j0 \2 k, b
metrics to build an index system for evaluat ion. Lists which describe each metric are presented
$ Q& R6 Y. e9 x2 e) Wafterwards. Using Comprehensive Evaluation Method (CEM), combinations of metrics are carried
, C$ c" [" ~/ v2 y( l. ^7 kout, yielding metric o for effectiveness and for efficiency , which are the ultimate goals of A o P5 ], F( Y- q2 {" ~8 g: c8 A
health care system. With these metrics, we can compare the relative quality of systems. After a/ |3 @9 M, H5 k& l+ K; ]
thorough search of data sources, we refine the metrics list based on data availability, and also$ o: Y2 X* I. x4 R1 A- Q2 ~
present the estimating and obtaining approaches.0 T9 X& R# ^" M. v8 P
For the purpose of international comparison, Principal Components Analysis is applied to choose
3 E) \) w8 y* E1 X$ I* Qthe most important and viable metrics. Life expectancy at birth, prevalence of tuberculosis,4 ~! l Y+ t7 `3 J1 E' D
immunization coverage among 1-years-olds and fairness of financial contribution are finally# y1 L/ L; U4 \, d" j+ ^" H
selected. Then modified Analytical Hierarchy Process is processed to weigh each metric. The test0 V4 t! v: Q4 V, J$ j$ E% M
results between the United States and two other countries are showed below:
' E+ I' ^, y2 e, @# m/ vInvestigating the discrepancy between results, we attribute the cause to the differences in devise of, I* X! S' u. f+ s3 S% B
metrics and weights in CEM.
' L8 T q9 {$ E, I0 QThen we propose a novel framework for prediction of restructure. Stepwise Regression Analysis is. W7 \) g- s1 I8 J/ Z$ s
introduced to find the relationship between the major contributing input factors and outcomes.
. X! y6 @9 u8 L% R8 J. s) [* yFurther more, after analyzing the variations of functions, possible policy changes to improve are
7 L4 L4 a* f( {recommended, including strengthening primary care system and conducting a single payer system.
+ z+ ^1 A/ U( @; ]6 X, n% \$ pFinally, the strength and weakness of our models are summarized, as well as two urgent aspects for
2 C+ p2 q8 |, X% E) Xfuture work. The main achievements and contributions of this ** are concluded in the end. |
|