Abutorabi, Mina

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,tl{r,1*o(,,.,fur* .lL, L)Ul ; ct;& o ,(,i.'.|.r.-;lr<t .tl. :al d,nJ .l,;,,l s-t'.,I,JLS tt!- <-1-,;Lt1.llJ:.r-lt.rj ;d ,1;* .1jJ, J"tSt S c,,k UtbJ*,, 6-FJ!Js cr.rl.r34 4i "t1L"i .UJi:l\ flf JLo lr !t"JS otl-,J#i aStJ.,/I - t l- t -.t'I;r_yl I .r o : L..,Jc.,i;LaLal-- t^...1 ;iS.r:L^.^lt r[-lcs-,-,"r-F L;-, -iS, :33Li.o .ll:.,.1\Y1o-11 ,J*.--: Jl-Kerman University of Medical SciencesFaculty of Management and InformationIn Partial Fulfillment of the Requirements for Degree MScTitle:Estimation of willingness to pay for breast cancer screening and factorsaffecting it, among women in Kerman: 2015By:Mina AbutorabiSupervisors:Dr. Asma SabermahaniAdvisor:Dr. Reza GudarziYear: 2Urc-17,1fr::trL8" II arx*^sS r ;1;. ;*l ^; .li ,ri a=J91 &lr ,,, 6,;1"* JiS ,.: ,r,_1,19, .-1c a, e1-f y"C s fJ\* :c.o.r.lrlr Jlf 9.J sfJL.* JL- A. .rV! rLj jl f9-.(_ c4>jdJ.9+l+-lrq.u.: r;rlflr.rh--t ,sLr. )',f1-- rLr r: rL-" cJL,* sFL:* pL-:.;1 .gl;-. c.-:ibr, "?,J,-Lj -'rrir.-r."L aJlt-;-1 .J-i-b).;;->-.$r_i rt+l ..,t,5 ,L.-._,r \Y1f JL,,).r--tj. usg-o* oS ,y.g.>1 .^+1 tSs.ttS AJlt .5-- .ry^SX ;,1:r;;a9y,4r,.r-iA)u, JS.;s Al^f ,h-14JLtlbYA;L;1,aJIt-+_l o-F.$lpl ,L.5,Lrt-11 ,r,E;l -*-L?d a--;o r"---..> ,Jl* i_l ..-*.r,_:r5 oria::.,.l oy"tS g,j;:" J.:r: jl df.jp-..> ;21, 6112 oJit";- -Stata )flry 11 bo:l: J)-;s+.fi ca;.-r,-:f o.:lc,-.1 .-r-21;:1 ^sl .5rLi Slar-eg.t )1 ui y;s -l^\y- .*..-r,-:r5 o:ll -.'l \f '>-.JL_, YY..... 9) cSy.;l;-,JL-,, Y..r... 4. syr\; rr ci!I;- "l "},-ti ait^ )1.ra" ai!. )]rL:bailLl..--l o-ti -:rrirt.l ' '.' 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OU"r-,c-ilsr; q,-lr_1,- :b0119#FAbstaractlntroduction: mammography screening due to the ability to detect disease in its earlystages, has managed to reduce the mortality rate arising from breast cancer. Neverthelessone-third of women over 50 do mammography screening. This study was conducted withaim to estimate the willingness to pay for the screening of breast cancer in women living inKerman.Method: This research was a practical economic survey that was conducted in 2015 inselective areas of the city of Kerman. ln this study, for sample size determining we used ofMitchell and Carson table. According to this table, the sample size was 865 people. Forensure the return of protocol, sample size was considered 1,,000 people. ln order to estimatethe demand and factors affecting it were used econometric statistical methods. Stata version14 software was used for data analysis.Result: The lowest median of willingness to pay was for the scenario where it is assumedthat risk is low and 50 percent of the costs paid by the government. The highest willingnessto pay was for a scenario in which the risk is high and the government will bear all costs ofscreening. ln all.scenarios, price has a significant negative impact on the demand for breastcancer screening. All relationships are significant at the one percent level. All estimatescoefficient is a good fit,The median willingness to pay according to health centers shown that the least averagerate of willingness to pay in the scenario is related to women referring to ShaheedShafieiand baghodrat centers and the highest rate of willingness to pay is for women whovisit the health centers of Jupar.An estimation of the willingness to pay by segregation of urban and rural areas has shownthat in the scenarios in which the government pays all the costs of the project, the averagewillingness to pay is significantly different from the scenarios that are consideredfranchisees.Conclusion: ln all scenarios considered, price had significant negative impact on thedemand for breast cancer screening and also franchise reducing increases the willingness topay for the screening of breast cancer.Compared to the willingness to pay with actual screening costs, in a franchise-basedsetting, the average willingness to pay for screening is less than the cost of the plan, andpeople do not participate in the scheme. ln non-franchise scenarios, the average willingnessto pay was higher than the le.vel of expenditure from the perspective of policy makers, andsince then, the cost of people has been willing to participate, but other factors have beeneffective on this issue, including the perception of the individual of his risk, lncome, dg€,place of residence and etc. lf the exact cost of screening breast cancer is accuratelycalculated, policy makers can increase the effectiveness of the services provided by theclassification and separation of risk-taking regions and groups.Keywords: willingness to pay, breast cancer, Contingent Valuation method

Estimation of willingness to pay for breast cancer screening and factors affecting it , among women in Kerman :۲۰۱۵

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