2011年6月12日

医疗纠纷[zt]

周老师关于医疗纠纷的思考--"医纠诉讼"如果做一个专有名词,一个专门课题,起码有两方面的意见(赞成和反对),两方面意见对"医纠诉讼"的positive和negative效果的看法截然不同,且效果之间存在cost-effectiveness的tradeoff,所以到底要赞同还是控制"医纠诉讼",必须有实证依据加以支持,所以我们经济学家需要上场啦。

-------摘录

对于医疗纠纷诉讼,有正反两面很极端的意见。赞成的一方认为透过此机制可以使被伤害的一方获得应有的补偿,达成社会正义;有人认为这样可以遏止不当的医疗行为;有人则认为这是保障医疗质量不可缺少的一项机制。反对的一方认为医疗纠纷的诉讼会造成许多副作用,这些副作用可能会超过它所带来前述的好处。这些副作用包括防卫性医疗
(医疗人员为了保护自己,使用更多的检验或检查)导致医疗的浪费及对病人潜在的伤害,高额的医疗诉讼费赔偿金以及医疗纠纷保险费导致医疗成本的增加,高风险科别的医师退出服务造成病人找不到相关医师诊疗,医病关系的破坏,以及双方所付出时间、精神压力与金钱等庞大的社会成本等。

尽管每位医师都有可能碰到医疗纠纷或诉讼,不过研究指出医疗案件发生在某些特定医师的机率比其它医师高很多,但这不表示这些医师的医疗质量比其它的医师差,其它研究发现,有专科证照的医师比没有专科证照的医师(美国的专科医师不一定要有专科证照)容易发生医疗纠纷,比较常被病人抱怨的医师发生医疗纠纷的机率也会比较高。(这是很耐人寻味的现象,意谓医疗纠纷的发生可能与医师的技术较没有关系,而与其医病关系特质有密切关系,我直觉上会同意这个论点,也许可以拿医院的医纠与抱怨的案件出来做回归分析)。不过研究发现,医疗纠纷的发生率与医师所就读的医学院排名无关,也与医师是美国人还是外国人、单独开业或与其它医师一起执业都无关。

至于医疗纠纷的诉讼对不当的医疗行为是否真有遏止的效果,目前的研究发现并没有明显的作用,主要原因是真正因为过失而致伤害的病人提出告诉的比例很低,最后获得赔偿的比例更低,因此医师所承担的风险事实上不大;另一个原因是医师大多有购买医疗纠纷保险,这些保险大多以科别风险订定各科医师的保费,而不是用个别医师过去的医疗纠纷理赔记录计算每位医师应缴的保费,这就更降低了医师要额外谨慎诊疗的诱因。

对于防卫性医疗与医疗诉讼有多少关连,以及其程度的大小,经济学家曾做过一些探讨。有的学者针对美国不同州的情形加以研究,发现防卫性医疗程度与该州病人的诉讼倾向没有相关性。有一份研究发现若某一州的法律对医师产生的医疗纠纷压力较大,该州的防卫性医疗程度也较高,但是医疗的结果都差不多。

2011年5月28日

经济学blogs和journals排名--全是经济学家自己打分的

Favorite Economics Blogs排名:其中 J. Bradford DeLong and Paul Krugman是~~你知道的!
------
Mankiw, Greg
Marginal Revolution
Krugman, Paul
DeLong, J. Bradford
Freakonomics
Becker, Posner
EconLog
Coordination Problem
The Economist's View
Voxeu
Café Hayek
Environmental Economics
Baseline Scenario
Hamilton, James
Rodrik, Dani


Favorite Economics Journals排名:这个政治倾向不重
--------
American Ec. Rev.
J. of Ec. Perspectives
J. of Political Economy
J. of Ec. Literature 
Econometrica
Quarterly J. of Ec.
J. of Labor Ec.
J. of Ec. Issues
J. of Human Resources
The Economist
J. of Urban Ec.
National Tax J.
J. of Ec. History
Rev. of Ec. and Statistics
American J. of Agricultural Ec.
J. of Environmental and Ec.Management
Cambridge J. of Ec.
Ec. Inquiry
History of Political Economy
Public Choice
Rand J. of Ec.
J. of Ec. Behavior and Organization
J. of Sports Ec.
J. of Money, Credit, and Banking
J. of Public Ec.
Feminist Ec.
J. of International Ec.
J. of Management Education
Independent Rev.
J. of History of Ec. Thought
J. of Development Ec.
Southern Ec. J.
J. of Post Keynesian Ec.

source: econjwatch.org/file_download/487/DavisMay2011.pdf

2011年5月26日

英语简写[zt from: douban]

1ce   once

2     to
26y4u   too sexy for you
2day   today
2mor   tomorrow
2moro   tomorrow
2morrow  tomorrow
2nite   tonight

3sum   threesome

4     for

911    emergency - call me

add    address
afaik   as far as i know
agreemt  agreement
aka    also known as
asap   as soon as possible
atb    all the best
ayor   at your own risk

b     be
b/c    because
b4    before
b4n    or bfn bye for now
bbl    be back late(r)
bcnu   be seeing you
b''day   birthday
bhl8   be home late
bil    boss is listening
brb    be right back
btdt   been there done that
btw    by the way
buzz   off buzz off


c     see
cid    consider it done
cmi    call me
coz    because
ctr    center
cu    see you
cu    @ see you around
cub    l8r call you back later
cul    see you later
cul8tr  see you later
cuz    because
cya see you
cyr bos  call your boss
cyr bro   call your brother
cyr h   call your husband
cyr ma  call your mother
cyr ofis  call your office
cyr pa  call your father
cyr sis  call your sister
cyr wf   call your wife


da    the
don    doing
dylm   do you like me


ez    easy


f2f    face to face
f2t    free to talk
fotflol  falling on the floor, laughing out loud
fyi    for your information


gal    get a life
gr8    great
grt    great
gtg    got to go
gudluk  good luck


h8    hate
hak    hugs and kisses
hand   have a nice day
hot4u   hot for you
how r u  how are you
hp    handphone


ic    i see
iluvu   i love you
im2gud4u i''m too good for you
imho   in my humble opinion
imnsho  in my not so humble opinion
imtng   in meeting
iyq    i like you


j/k   just kidding
jhb    johannesburg
jic    just in case
jk    just kdding


k     okay
kit    keep in touch
kwim   know what i mean


l8    late
l8er   later
l8r    later
l&n landing
ldn    london
lol    laughing out loud or loads of love
luv    love
lv    love
lyn   lying


m8    mate
mgmt   management
mmfu   my mate fancies you
mob    mobile
msg    message
msia   malaysia
mtfbwu  may the force be with you
mtg    meeting
mth    month
myob   mind your own business


n     and
n     case in case
n/a    not applicable
ne    any
ne1    anyone
nethng  anything
niting  anything
no1    no one
nufn  nothing
np    no problem
nvm    never mind


oic    oh, i see
omg    oh, my god


paw    parents are watching
pcm    please call me
pcme   please call me
pl&   planned
pls    please
plz    please
plz4gv me please forgive me
po$bl   possible
ppl    people
prl    parents are listening
puks   pick up kids


r     are
rgds   regards
ringl8  running late
rtfm   read the flippin'' manual
ru    are you
rucmng   are you coming
ruok    are you ok?


shopn  shopping
sit    stay in touch
soz    sorry
spk    speak
stfu   shut the flip up
sum1   someone


tel    telephone
thanq   thank you
thkq   thank you
thx    thanks
tmb    text me back
tq    thank you
ttyl   talk to you later
tx    thanks
txt    bac text back
tyvm   thank you very much



u     you
ur    your
ura*   you are a star
uraqt   you are a cutie


w/    with
w/o    without
w8    wait
w84m   wait for me
waiting  w8n
wan2   want to
wan2tlk  want to talk?
wbs    with
wearing  a walkman
wel    well
wiv    write back soon
wknd   weekend
wot    what
wru    where are you?
wu    what''s up?
wud?   what you doing
wygowm  will you go out with me


x     kiss
xlnt   excellent
xoxox   hugs and kisses


y     why
yr    your
yyssw   yeah yeah sure sure whatever

NBER这期的bulletin-2011-5

很久没有跟新了,最近很是纠结,人生不总是风顺,转折加上旅行,不知道下一站在哪?

NBER这期的bulletin介绍几篇好看的aging和health的wp:

Using Nudges in Exercise Commitment Contracts讲文章"Committing to Exercise: Contract Design for Virtuous Habit Formation" (NBER Working Paper 16624), 作者Jeremy Goldhaber-Fiebert, Erik Blumenkranz, and Alan Garber。他们用网站(www.stickk.com)为基础的合同方式来做随机控制实验来检定财务小nudges对人们是否忠于锻炼允诺的效果,很是有趣。因为里面运用行为经济学关于人对长期、短期决策的假定,到卫生经济学关于weight loss的研究范畴中,又用了网络来做随机试验,实在是亮点多多。

The Effect of Rising Health Care Costs on U.S. Tax Rates 美国的高比例H-GDP是个问题吗?如果大部分决策权是个人手里的话,那是国民自己的意愿,关谁卵事呢(当然States的问题没那么简单,公司买保很多,政府税收预算大把纠葛)?哎~ 先假设这是个big issue吧。Katherine Baicker and Jonathan Skinner的" Health Care Spending Growth and the Future of U.S. Tax Rates" (NBER Working Paper 16772). 自发展了一个宏观模型讨论高比例H-GDP、税收、消费和劳动力供给等因素间的互相作用,我头大!写评论的人最后写到While most observers of the U.S. health care system conclude that there must be a break in the trend of rising real health care costs at some point, it is not clear what policy or condition would effect that change. This study suggests "strains on the revenue-raising system may exert a natural brake on health care spending, and thus may be a key (albeit inefficient) mechanism for constraining overall health care spending growth."欧洲70年代一些国家高tax-GDP比例的国家后来在H-GDP比例上控制得好,虽然效率不咋地,那么堂堂US也要左转看齐用低效的"strains on the revenue-raising system(没看懂!)"来踩啥车吗?



2011年4月28日

[Excerpt] From J. Goodman's Bureaucrats vs. Entrepreneurs

[Excerpt] From J. Goodman's Bureaucrats vs. Entrepreneurs:

I used to think the biggest obstacle to getting agreement about health care reform was ideology (socialism vs. capitalism). Then I decided it was sociology (engineers vs. economists). I now am inclined to believe it ispsychology (bureaucrats vs. entrepreneurs).
What caused the shift in my thinking was a post the other day in which I recounted Atul Gwande's description of Dr. Jeffrey Brenner in The New Yorker. Brenner is a true entrepreneur. He discovered that a small number of patients were generating a very large share of medical costs and he found that he could save society millions of dollars by treating these patients in unconventional ways. By unconventional, I mean doing things that Medicare, Medicaid (and Blue Cross, for that matter) do not pay for.

To my knowledge, there is no award for any discovery in paying for or delivering health care, however, with one exception noted below. Heritage Provider Network is offering a $3 million prize "to anyone who can build the algorithm that best predicts which patients will be hospitalized and for how many days over the course of a year, based on a given data set." See the description in Slate.