Summary Table of Characteristics of Similar Studies Around the World

109. National Academies of Sciences Engineering, and Medicine; Health and Medicine Division; Board on Health Care Services; Committee on Ensuring Patient Access to Affordable Drug Therapies; Nass SJ, Madhavan G, Augustine NR, editors. (2017), "3. Factors Influencing Affordability", Making Medicines Affordable: A National Imperative. , Washington (DC): National Academies Press (US), pp. 73-124.

110. Ng KP, Hillmer AM, et al. (2012), "A common BIM deletion polymorphism mediates intrinsic resistance and inferior responses to tyrosine kinase inhibitors in cancer", Nat Med , 18(4), pp. 521-8.

111. Nguyen LH, Tran BX, et al. (2017), "Quality of life profile of general Vietnamese population using EQ-5D-5L", Health Qual Life Outcomes , 15(1), pp. 199.

112. Ning L., Hu C., et al. (2020), "Trends in disease burden of chronic myeloid leukemia at the global, regional, and national levels: a population-based epidemiologic study", Exp Hematol Oncol , 9(1), pp. 29.

113. Noens L., van Lierde MA, et al. (2009), "Prevalence, determinants, and outcomes of nonadherence to imatinib therapy in patients with chronic myeloid leukemia: the ADAGIO study", Blood , 113(22), pp. 5401-11.

114. Novartis, Gleevec - Highlights of Prescribing Information .

115. O'Brien SG, Guilhot F., et al. (2003), "Imatinib compared with interferon and low-dose cytarabine for newly diagnosed chronic-phase chronic myeloid leukemia", N Engl J Med , 348(11), pp. 994-1004.

116. Padula WV, Larson RA, et al. (2016), "Cost-effectiveness of Tyrosine Kinase Inhibitor Treatment Strategies for Chronic Myeloid Leukemia in Chronic Phase After Generic Entry of Imatinib in the United States", J Natl Cancer Inst , 108(7), pp. 1-9.

117. Pavel MS, Chakrabarty S., et al. (2016), "Cost of illness for outpatients attending public and private hospitals in Bangladesh", Int J Equity Health , 15(1), pp. 167.

118. Pavey T, Hoyle M, et al. (2012), "Dasatinib, nilotinib and standard-dose imatinib for the first-line treatment of chronic myeloid leukaemia: systematic reviews and economic analyses", Health Technol Assess , 16 (42):iii-iv, pp. 1-277.

119. Philips Z, Ginnelly L, et al., Review of guidelines for good practice in decision-analytic modeling in health technology assessment , in NIHR Health Technology Assessment program: Executive Summaries . 2004, Southampton (UK): NIHR Journals Library.

120. Pinilla-Ibarz J., Flinn I. (2012), "The expanding options for front-line treatment in patients with newly diagnosed CML", Crit Rev Oncol Hematol , 84(2), pp. 287-99.

121. Reed SD, Anstrom KJ, et al. (2004), "Cost-effectiveness of imatinib versus interferon-alpha plus low-dose cytarabine for patients with newly diagnosed chronic-phase chronic myeloid leukemia", Cancer , 101(11), pp. 2574-83.

122. Rego MN, Metze K., et al. (2015), "Low educational level but not low income impairs the achievement of cytogenetic remission in chronic myeloid leukemia patients treated with imatinib in Brazil", Clinics (Sao Paulo) , 70(5), pp. 322-5.

123. Reksodiputro A Harryanto (2015), "Epidemiology Study and Mutation Profile of Patients with Chronic Myeloid Leukemia (CML) in Indonesia", Journal of Blood Disorders and Transfusion , pp.

124. Rochau U., Schwarzer R., et al. (2014), "Systematic assessment of decision- analytic models for chronic myeloid leukemia", Appl Health Econ Health Policy , 12(2), pp. 103-15.

125. Rochau Ursula, Kluibenschaedl Martina, et al. (2015), "Effectiveness and Cost-Effectiveness of Sequential Treatment of Patients with Chronic Myeloid Leukemia in the United States: A Decision Analysis", Leukemia research and treatment , 2015, pp. 1-12.

126. Rochau Ursula, Sroczynski Gaby, et al. (2015), "Cost-effectiveness of the sequential application of tyrosine kinase inhibitors for the treatment of chronic myeloid leukemia", Leukemia & lymphoma , 56(8), pp. 2315-2325.

127. Romero Martín, Chávez Diana, et al. (2014), "Cost-effectiveness of nilotinib, dasatinib and imatinib as first-line treatment for chronic myeloid leukemia in Colombia, 2012", Biomedica , 34(1), pp. 48-59.

128. Sacha T., Gora-Tybor J., et al. (2017), "Quality of Life and Adherence to Therapy in Patients With Chronic Myeloid Leukemia Treated With Nilotinib as a Second-Line Therapy: A Multicenter Prospective Observational Study", Clin Lymphoma Myeloma Leuk , 17(5), pp. 283-295.

129. Saglio Giuseppe, Kim Dong-Wook, et al. (2010), "Nilotinib versus imatinib for newly diagnosed chronic myeloid leukemia", New England Journal of Medicine , 362(24), pp. 2251-2259.

130. Schiffer CA (2007), "BCR-ABL tyrosine kinase inhibitors for chronic myelogenous leukemia", N Engl J Med , 357(3), pp. 258-65.

131. Shin M, Shin S, et al. (2015), "Cost-Effectiveness Of First-Line Tyrosine Kinase Inhibitors (Tkis) In Newly Diagnosed Chronic Myeloid Leukemia (Cml) Patients In Korea: Comparison Of Dasatinib (100mg), Nilotinib (600mg) And Imatinib (400mg)", Value in Health , 18(7), pp. A458.

132. Shiroiwa T., Sung Y.K., et al. (2010), "International survey on willingness-to-pay (WTP) for one additional QALY gained: what is the threshold of cost effectiveness?", Health Econ , 19(4), pp. 422-37.

133. Siebert Uwe, Alagoz Oguzhan, et al. (2012), "State-transition modeling: a report of the ISPOR-SMDM modeling good research practices task force–3", Medical Decision Making , 32(5), pp. 690-700.

134. Szabo SM, Levy AR, et al. (2010), "A multinational study of health state preference values ​​associated with chronic myelogenous leukemia", Value Health , 13(1), pp. 103-11.

135. Thavorncharoensap M., Teerawattananon Y., et al. (2013), "Estimating the willingness to pay for a quality-adjusted life year in Thailand: does the context of health gain matter?", Clinicoecon Outcomes Res , 5, pp. 29-36.

136. Tran TA, Tran MK, et al. (2016), "Evaluate the Quality of Life of Patients with Chronic Myeloid Leukemia in Vietnam", Value in Health , 19(3), pp. A161.

137. Tse V, Liu H, et al. (2012), "Cost Effectiveness of Nilotinib Versus Imatinib as First Line Treatment for Newly Diagnosed Hong Kong (HK) Patients With Chronic Phase, Philadelphia Chromosome-Positive (PH+) Chronic Myeloid Leukemia in the Chronic Phase (CML-CP) in Hong Kong ", Value in Health , 15(4), pp. A217-A218.

138. Ugur MC, Kutbay YB, et al. (2017), "Assessment of Quality of Life of Chronic Myeloid Leukemia Patients by Using the EORTC QLQ-C30", Turk J Haematol , 34(2), pp. 197-199.

139. Valkova V., Jircikova J., et al. (2016), "The quality of life following allogeneic hematopoietic stem cell transplantation - a multicenter retrospective study", Neoplasma , 63(5), pp. 743-51.

140. Wang Jianxiang, Shen Zhi-Xiang, et al. (2015), "Phase 3 study of nilotinib vs imatinib in Chinese patients with newly diagnosed chronic myeloid leukemia in chronic phase: ENESTchina", Blood , 125(18), pp. 2771-2778.

141. Wang P., Luo N., et al. (2016), "The EQ-5D-5L is More Discriminative Than the EQ-5D-3L in Patients with Diabetes in Singapore", Value Health Reg Issues , 9, pp. 57-62.

142. Wordsworth S., Ludbrook A., et al. (2005), "Collecting unit cost data in multicentre studies. Creating comparable methods", Eur J Health Econ , 6(1), pp. 38- 44.

143. Yagudina R, Kulikov A, et al. (2012), "Cost-Effectiveness of Nilotinib Versus Imatinib as First-Line Treatment for Newly Diagnosed Patients With Philadelphia Chromosome-Positive (Ph+) Chronic Myeloid Leukemia in the Chronic Phase (CML-CP) in Russian Federation", Value in Health , 15(7), pp. A426.

144. Yu L., Wang H., et al. (2018), "Achieving optimal response at 12 months is associated with a better health-related quality of life in patients with chronic myeloid leukemia: a prospective, longitudinal, single center study", 18(1), pp. 782.

145. Zeidan AM, Mahmoud D., et al. (2016), "Economic burden associated with acute myeloid leukemia treatment", Expert Rev Hematol , 9(1), pp. 79-89.

146. zvan de Vooren K., Curto A., et al. (2015), "Market-access agreements for anti-cancer drugs", JR Soc Med , 108(5), pp. 166-70.

Websites

147. American Society of Clinical Oncology (2014), "Leukemia - chronic myeloid – CML - review", Retrieved November 23, 2015, from http://www.cancer.net/cancer- types/leukemia-chronic-myeloid- cml/view-all

148. Authority The World's Currency (2020), "Currency Charts: USD to VND", Retrieved February 25, 2020, from https://www.xe.com/currencycharts/?from=USD&to=VND&view=1Y .

149. Bank The World (2020), "GDP per capita Vietnam", Retrieved February 25, 2020, from https://data.worldbank.org/indicator/NY.GDP.PCAP.CD .

150. Ministry of Health - Department of Drug Administration, "Look up drug prices", Retrieved March 2020, 2020, from https://dichvucong.dav.gov.vn/congbogiathuoc/index .

151. Ministry of Health of the Russian Federation, "Registration of drugs", Retrieved 02/09/2020, from http://grls.rosminzdrav.ru/PriceLims.aspx .

152. GoodRx - Prescription drug prices in the United States, Retrieved September 2, 2020, from https://www.goodrx.com .

153. National Cancer Institute - Bethesda MD (2020), "SEER Cancer Stat Facts: Chronic Myeloid Leukemia", Retrieved April 14, 2020, from https://seer.cancer.gov/statfacts/html/cmyl.html .

154. National Health System (2010), "Cancer Drugs Fund", Retrieved July 15, 2020, from https://www.england.nhs.uk/cancer/cdf/ .

155. The World Bank (2018), "World Development Indicators: Consumer price index", Retrieved, July 17, 2018, from http://databank.worldbank.org/data/home.aspx .

156. World Health Organization (2018, April 20, 2018), "Life tables by country - Viet Nam", Retrieved September 2, 2019, from https://apps.who.int/gho/data/view.main .61830?lang=en .

APPENDIX 1. SUMMARY TABLE OF CHARACTERISTICS OF SIMILAR STUDIES IN THE WORLD

Author (Year of publication)

Nation	Opinion	Patient	Model	Period	Model time image	Expense	Effective	Discount	Sensitivity	Result
Na Li and cs 1 (2017) [101]	China	Health agency	Newly diagnosed BCMDT in chronic phase	Markov	1 year	20 year	Direct	QALY	5%	Univariate, exact rate	NL does not meet CP-HQ
Martin.R et al (2012) 1 [127]	Colombia	Third Party	BCMDT was newly diagnosed in the chronic phase, average age 55	Markov	3 month	All VĐNB	Direct	PF- LYs	3%	Univariate, multivariate	33,120.36 $/PF- LYs
											No protocol
										Single	with dasatinib
Rouchau.U et al (2014) 1 [ 126]	Shirt	Whole society	Chronic phase BCMDT, average age 54, 60% male based on Austrian records	Markov	1 month	All VĐNB	Direct and indirect next	LYG, QALY	3%	variable, scenario, body	121,400 $/QALY The protocol has dasatinib:
										rate	112,300
											$/QALY
											No protocol
Rochau.U et al (2015) 1 [ 125]	America	Third Party	Chronic phase BCMDT, middle age 62% male based on US records	Markov	1 month	All VĐNB	Direct	LYG, QALY	3%	Univariate, script	with dasatinib 375,000 $/QALY The protocol has
											dasatinib

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• Identify Rating Levels and Rating Scales zt2i3t4l5ee zt2a3gstourism,quan lan,quang ninh,ecology,ecotourism,minh chau,van don,geography,geographical basis,tourism development,science zt2a3ge zc2o3n4t5e6n7ts of the islanders. Therefore, this indicator will be divided into two sub-indicators: a1. Natural tourism attractiveness a2. Cultural tourism attractiveness b. Tourist capacity The two island communes in Quan Lan have different capacities to receive tourists. Minh Chau Commune is home to many standard hotels and resorts, attracting high-income domestic and international tourists. Meanwhile, Quan Lan Commune has many motels mainly built and operated by local people, so the scale and quality are not high, and will be suitable for ordinary tourists such as students. c. Time of exploitation of Quan Lan Island Commune: Quan Lan tourism is seasonal due to weather and climate conditions and festivals only take place on certain days of the year, specifically in spring. In Quan Lan commune, the period from April to June and from September to November is considered the best time to visit Quan Lan because the cultural tourism activities are mainly associated with festivals taking place during this time. Minh Chau island commune: Tourism exploitation time is all year round, because this is a place with a number of tourist attractions with diverse ecosystems such as Bai Tu Long National Park Research Center, Tram forest, Turtle Laying Beach, so besides coming to the beach for tourism and vacation in the summer, Minh Chau will attract research groups to come for tourism combined with research at other times of the year. d. Sustainability The sustainability of ecotourism sites in Quan Lan and Minh Chau communes depends on the sensitivity of the ecosystems to climate changes. landscape. In general, these tourist destinations have a fairly high level of sustainability, because they are natural ecosystems, planned and protected. However, if a large number of tourists gather at certain times, it can exceed the carrying capacity and affect the sustainability of the environment (polluted beaches, damaged trees, animals moving away from their habitats, etc.), then the sustainability of the above ecosystems (natural ecosystems, human ecosystems) will also be affected and become less sustainable. e. Location and accessibility Both island communes have ports to take tourists to visit from Van Don wharf: - Quan Lan – Van Don traffic route: Phuc Thinh – Viet Anh high-speed boat and Quang Minh high-speed boat, depart at 8am and 2pm from Van Don to Quan Lan, and at 7am and 1pm from Quan Lan to Van Don. There are also wooden boats departing at 7am and 1pm. - Van Don - Minh Chau traffic route: Chung Huong high-speed train, Minh Chau train, morning 7:30 and afternoon 13:30 from Van Don to Minh Chau, morning 6:30 and afternoon 13:00 from Minh Chau to Van Don. f. Infrastructure Despite receiving investment attention, the issue of infrastructure and technical facilities for tourism on Quan Lan Island is still an issue that needs to be resolved because it has a direct impact on the implementation of ecotourism activities. The minimum conditions for serving tourists such as accommodation, electricity, water, communication, especially medical services, and security work need to be given top priority. Ecotourism spots in Minh Chau commune are assessed to have better infrastructure and technical facilities for tourism because there are quite complete and synchronous conditions for serving tourists, meeting many needs of domestic and foreign tourists. 3.2.1.4. Determine assessment levels and assessment scales Corresponding to the levels of each criterion, the index is the score of those levels in the order of 4, 3, 2, 1 decreasing according to the standard of each level: very attractive (4), attractive (3), average (2), less attractive (1). 3.2.1.5. Determining the coefficients of the criteria For the assessment of DLST in the two communes of Quan Lan and Minh Chau islands, the students added evaluation coefficients to show the importance of the criteria and indicators as follows: Coefficient 3 with criteria: Attractiveness, Exploitation time. These are the 2 most important criteria for attracting tourists to tourism in general and eco-tourism in particular, so they have the highest coefficient. Coefficient 2 with criteria: Capacity, Infrastructure, Location and accessibility . Because the assessment area is an island commune of Van Don district, the above criteria are selected by the author with appropriate coefficients at the average level. Coefficient 1 with criteria: Sustainability. Quan Lan has natural and human-made ecotourism sites, with high biodiversity and little impact from local human factors. Most of the ecotourism sites are still wild, so they are highly sustainable. 3.2.1.6. Results of DLST assessment on Quan Lan island a. Assessment of the potential for natural tourism development  For Minh Chau commune: + Natural tourism attractiveness is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12. + Capacity is determined as average (2 points) and the coefficient is quite important (coefficient 2), then the score of Capacity criterion is 2 x 2 = 4. + Exploitation time is long (4 points), the most important coefficient (coefficient 3) so the score of the Exploitation time criterion is 4 x 3 = 12. + Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points + Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points. + Infrastructure is assessed as good (3 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 3 x 2 = 6 points. The total score for evaluating DLST in Minh Chau commune according to 6 evaluation criteria is determined as: 12 + 4 + 12 + 4 + 4 + 6 = 42 points Similar assessment for Quan Lan commune, we have the following table: Table 3.3: Assessment of the potential for natural ecotourism development in Quan Lan and Minh Chau communes Attractiveness of self-tourismof course Capacity Mining time Sustainability Location and accessibility Infrastructure Result Point DarkMulti Point DarkMulti Point DarkMulti Point DarkMulti Point DarkMulti Point DarkMulti CommuneMinh Chau 12 12 4 8 12 12 4 4 4 8 6 8 42/52 Quan CommuneLan 6 12 6 8 9 12 4 4 4 8 4 8 33/52 b. Assessment of the potential for humanistic tourism development  For Quan Lan commune: + The attractiveness of human tourism is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12. + Capacity is determined to be large (3 points) and the coefficient is quite important (coefficient 2), then the score of the Capacity criterion is 3 x 2 = 6. + Mining time is average (3 points), the most important coefficient (coefficient 3) so the score of the Mining time criterion is 3 x 3 = 9. + Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points. + Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points. + Infrastructure is rated as average (2 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 2 x 2 = 4 points. The total score for evaluating DLST in Quan Lan commune according to 6 evaluation criteria is determined as: 12 + 6 + 6 + 4 + 4 + 4 = 36 points. Similar assessment with Minh Chau commune we have the following table: Table 3.4: Assessment of the potential for developing humanistic eco-tourism in Quan Lan and Minh Chau communes Attractiveness of human tourismliterature Capacity Mining time Sustainability Location and accessibility Infrastructure Result Point DarkMulti Point DarkMulti Point DarkMulti Point DarkMulti Point DarkMulti Point DarkMulti Quan CommuneLan 12 12 6 8 9 12 4 4 4 8 4 8 39/52 Minh CommuneChau 6 12 4 8 12 12 4 4 4 8 6 8 36/52 Basically, both Minh Chau and Quan Lan localities have quite favorable conditions for developing ecotourism. However, Quan Lan commune has more advantages to develop ecotourism in a humanistic direction, because this is an area with many famous historical relics such as Quan Lan Communal House, Quan Lan Pagoda, Temple worshiping the hero Tran Khanh Du, ... along with local festivals held annually such as the wind praying ceremony (March 15), Quan Lan festival (June 10-19); due to its location near the port and long exploitation time, the beaches in Quan Lan commune (especially Quan Lan beach) are no longer hygienic and clean to ensure the needs of tourists coming to relax and swim; this is also an area with many beautiful landscapes such as Got Beo wind pass, Ong Phong head, Voi Voi cave, but the ability to access these places is still very limited (dirt hill road, lots of gravel and rocks), especially during rainy and windy times; In addition, other natural resources such as mangrove forests and sea worms have not been really exploited for tourism purposes and ecotourism development. On the contrary, Minh Chau commune has more advantages in developing ecotourism in the direction of natural tourism, this is an area with diverse ecosystems such as at Rua De Beach, Bai Tu Long National Park Conservation Center...; Minh Chau beach is highly appreciated for its natural beauty and cleanliness, ranked in the top ten most beautiful beaches in Vietnam; Minh Chau commune is also home to Tram forest with a large area and a purity of up to 90%, suitable for building bridges through the forest (a very effective type of natural ecotourism currently applied by many countries) for tourists to sightsee, as well as for the purpose of studying and researching. Figure 3.1: Thenmala Forest Bridge (India) Source: https://www.thenmalaecotourism.com/(August 21, 2019) 3.2.2. Using SWOT matrix to evaluate Quan Lan island tourism General assessment of current tourism activities of Quan Lan island is shown through the following SWOT matrix: Table 3.5: SWOT matrix evaluating tourism activities on Quan Lan island Internal agent Strengths- There is a lot of potential for tourism development, especially natural ecotourism and humanistic ecotourism.- The unskilled labor force is relatively abundant.- resource environmentunpolluted, still Weaknesses- Poorly developed infrastructure, especially traffic routes to tourist destinations on the island.- The team of professional staff is still weak.- Tourism products in general quite wild, originalintact general and DLST in particularalone is monotonous. External agents Opportunity- Tourism is a key industry in the socio-economic development strategy of the province and Van Don economic zone.- Quan Lan was selected as a pilot area for eco-tourism development within the framework of the green growth project between Quang Ninh province and the Japanese organization JICA.- The flow of tourists and especially ecotourism in the world tends toincreasing Challenge- Weather and climate change abnormally.- Competition in tourism products is increasingly fierce, especially with other localities in the province such as Ha Long, Mong Cai...- Awareness of tourists, especially domestic tourists, about ecotourism and nature conservation is not high. Through summary analysis using SWOT matrix we see that:  To exploit strengths and take advantage of opportunities, it is necessary to: - Diversify products and service types (build more tourism routes aimed at specific needs of tourists: experiential tourism immersed in nature, spiritual cultural tourism...) - Effective exploitation of resources and differentiated products (natural resources and human resources) div.maincontent .p { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; margin:0pt; } div.maincontent p { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; margin:0pt; } div.maincontent .s1 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 13pt; } div.maincontent .s2 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 13pt; } div.maincontent .s3 { color: #0D0D0D; font-family:"Times New Roman", serif; font-style: normal; font-weight: bold; text-decoration: none; font-size: 14pt; } div.maincontent .s4 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s5 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: bold; text-decoration: none; font-size: 14pt; } div.maincontent .s6 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; vertical-align: -3pt; } div.maincontent .s7 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; vertical-align: -2pt; } div.maincontent .s8 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; vertical-align: -1pt; } div.maincontent .s9 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s10 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: bold; text-decoration: none; font-size: 14pt; } div.maincontent .s11 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s12 { color: black; font-family:Symbol, serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s13 { color: black; font-family:Wingdings; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s14 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 9pt; vertical-align: 5pt; } div.maincontent .s15 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 9pt; vertical-align: 5pt; } div.maincontent .s16 { color: black; font-family:Cambria, serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s17 { color: #080808; font-family:"Times New Roman", serif; font-style: normal; font-weight: bold; text-decoration: none; font-size: 14pt; } div.maincontent .s18 { color: #080808; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s19 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 11pt; } div.maincontent .s20 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 10pt; } div.maincontent .s21 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: bold; text-decoration: none; font-size: 11pt; } div.maincontent .s22 { color: black; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; text-decoration: none; font-size: 11pt; } div.maincontent .s23 { color: black; font-family:"Times New Roman", serif; font-style: italic; font-weight: normal; text-decoration: none; font-size: 14pt; } div.maincontent .s24 { color: #212121; font-family:"Times New Roman", serif; font-style: normal; font-weight: normal; tex
• Summary Table of Data Illustrating the Contents of the Thesis
• Summary Table of Monuments Inventory in Khanh An Commune in 2012

										424,400 $/QALY
Inocencio TJ et al. (2012) 2 [87]	America	Payer	Newly diagnosed chronic phase BCMDT at age 45	Markov	3 month	72 month and 30 years	Direct	LYG, QALY	3%	univariate	72 months 839,335 $/QALY 30 years 754,396 $/QALY
Mildred M et al (2012) 2 [ 107]	Older brother	Health agency	Chronic phase BCMDT has Ph+ chromosomes	Markov	-	All VĐNB	Direct	QALY	3.5%	univariate	NL achieved outstanding CP-HQ
A. Aiello et al (2015) 2 [45]	IDEA	Health agency	Chronic phase BCMDT in the 60s	Markov	1 year	15 year	Direct	LYG, QALY	3%	script	35,505 $/LYG $44,351/QALY
Shin M et al (2015) 2 [131]	Korea	Payer	BCMDT has Ph+ chromosome newly diagnosed	Markov	1 year	46-82 year old	Direct	LYG	5%	univariate, exact rate	159,670 $/LYG
Tse V et al (2012) 3[ 137]	Hong Kong	Whole society	BCMDT has Ph+ chromosome newly diagnosed, median age is 47	Markov	-	All VĐNB	Direct and indirect next	LYG, QALY	-	Univariate, exact rate	20,005 $/LYG $20,168/QALY
Yagudina R et al (2012) 3 [ 143]	Russia	-	BCMDT has Ph+ chromosome newly diagnosed	Markov	-	-	Direct	LYG, QALY	-	Have perform	41,823 $/LYG $45,735/QALY

1 : full text, 2 : abstract and poster, 3 : abstract; CP-HQ: cost-effectiveness; PF-LYs: progression-free life-years, LYG: Life Years Gain, QALY: Quality Adjusted Life Years, SCT: stem-cell-transplantation; VĐNB: patient life span.

APPENDIX 2. INFORMATION COLLECTION FORM

PART 1. BASIC INFORMATION

1.1

Patient name	..........................................
1.2	Patient code Medical record code	.......................................... ..........................................
1.3	ICD Code	..........................................
1.4	Diagnose	..........................................
1.5	Stage	..........................................
1.6	Outline	..........................................
1.7	Year of birth	..........................................
1.8	Sex	1. Male 2. Female
1.9	Where you live (specify district/county/province)	1. Inner city 2. Suburban 3. Other provinces.................................
1.10	Education level	1. Level 1 2. Level 2 3. Level 3 4. College/ Secondary 5. University 6. Postgraduate 7. Other..
1.11	Marital status	1. Single 2. Married 3. Separation/Divorce
1.12	Your occupation in the past year	1. Civil servants 2. Office staff 3. Business 4. Farmer 5. Retirement 6. Housekeeping 7. Unemployment 8. Other:………………………….
1.13	Job status	1. Full-time 2. Part-time 3. Other (specify):...............................
1.14	Your average monthly income	………………………VND/month

PART 2. COSTS

2.1

Do you use health insurance for medical examination? cure	1. Yes 2. No ( go to question) 2.4 )
2.2	Health insurance payment level?	............................
2.3	Are your family/relatives accompanying you? (If yes, how many people are going with you)	1. There are:.................people 2. No
	- How do you come for a follow-up visit ?	- Vehicle type:........................
	- Amount paid for travel to	- Cost…........VND
2.4	your own clinic (if you don't remember the number)	□ Don't remember the amount
	money, indicating the place of departure or total	(Place of origin………..
	km and total travel time)	Number of kilometers……… Time……………)
2.5	- The amount of money paid for travel to the hospital accompanying person ? (if any)	1. Have:…........VND/.......person 2. No payment

2.6

- If traveling by personal vehicle, please indicate the total cost of parking. how much?			........................VND/day
2.7	- How do you return ? - If different arrival time, the amount of money to pay for your own return travel (if you do not remember the amount, state the starting location or total kilometers and total travel time)			□ Same as when arriving (fishing trip 2.11) □ Other. Vehicle: ........................ Cost……….VND □ Don't remember the amount (Place of origin……….. Number of kilometers……Time…………)
2.8	- The amount paid for the return trip accompanying person ? (if any)			1. Have:…........VND/.......person 2. No payment
2.9	How much do you pay for meals when you are receiving medical treatment at your own hospital ?			1. Yes: ……….VND/day 2. No payment
2.10	Amount spent on food and drink during medical examination and treatment Hospital illness of the companion ?			1. Yes:…….VND/day/.......person 2. No payment
2.11	Do you pay for accommodation and additional expenses when examining and treating at the hospital?			1. Yes: ……VND/day in......days 2. No payment
2.12	The accompanying person pays for accommodation, additional costs (if any)?			1. Payable……….. VND/day 2. No additional payments
2.13	In addition to the above costs, do you have any additional costs? Any other costs? If yes, please describe in detail:			1. Yes 2. No

Indirect costs

Patient

2.14	During this medical examination and treatment, did you lose income/have your salary deducted due to absence from work? If so, how much did you lose per month? how much	1. Yes: .......................VND/month 2. No
Companion (If companion ≥2 then repeat question)
	During the time they were with you, did they have to?	1. Yes ...................... VND/month
2.15	lost income/pay deduction due to absence from work? If yes, how much money do they spend a month on the link	2. No
	regarding medical treatment
Worker
2.16	Do you need someone to do your work for you? am i in re-examination period?	1. Yes 2. No
2.17	Do they get paid to do this for you? If so, what is the average monthly rate? how much money	1. Yes ...................... VND/month 2. No