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Accidents, Traffic, Drug Costs, Thailand
Objective: This study aimed to develop a drug cost model for injuries due to road traffic accidents for patients receiving treatment at a regional hospital in Thailand.
Methods: The study was designed as a retrospective, descriptive analysis. The cases were all from road traffic accidents receiving treatment at a public regional hospital in the fiscal year 2004.
Results: Three thousand seven hundred and twenty-three road accident patients were included in the study. The mean drug cost per case was USD18.20 (SD=73.49, median=2.36). The fitted drug cost model had an adjusted R2 of 0.449. The positive significant predictor variables of drug costs were prolonged length of stay, age over 30 years old, male, Universal Health Coverage Scheme, time of accident during 18:00-24:00 o’clock, and motorcycle comparing to bus. To forecast the drug budget for 2006, there were two approaches identified, the mean drug cost and the predicted average drug cost. The predicted average drug cost was calculated based on the forecasted values of statistically significant (p<0.05) predictor variables included in the fitted model; predicted total drug cost was USD44,334. Alternatively, based on the mean cost, predicted total drug cost in 2006 was USD63,408. This was 43% higher than the figure based on the predicted cost approach.
Conclusions: The planned budget of drug cost based on the mean cost and predicted average cost were meaningfully different. The application of a predicted average cost model could result in a more accurate budget planning than that of a mean statistic approach.
2. Alpha Research, ed. Thailand public health 2006-2007. Nonthaburi: Alpha Research; 2006.
3. Wibulpolprasert S, ed. Thailand health profile 2001-2004. Bangkok: Bureau of Policy and Strategy, Ministry of Public Health; 2005.
4. Srithamrongsawat S. Progress and achievement: universal coverage of health care scheme annual report 2004. Bangkok: National Health Security Office; 2004.
5. Tosutho R. Economic loss and road accident related factors [Master of Science in Health Economics]. Bangkok: Department of Economics, Chulalongkorn University; 1997.
6. Pitagpravej T. [Economic losses due to transport accidents] (in Thai Language). J Health Science. 1997;6(2):185-193.
7. Podhipak A. The study of costs of road accident among patients admitted in the general hospitals: Bangkok metropolitan area [Master of Science in Public Health]. Bangkok, Mahidol University; 1996.
8. Pulpanyawong K, Somboonkul S, Chadthong K. Epidemiologic characteristics of road traffic injuries in Chumphon Hospital, March-August 1997 (in Thai Language). J Health Science. 1998;7(3):311-318.
9. Suriyawongpaisal P, Kanchanasut S. Road traffic injuries in Thailand: trends, selected underlying determinants and status of intervention. Inj Control Saf Promot. 2003;10(1-2):95-104.
10. Kobelt G. Health economics: an introduction to economic evaluation. second ed. London: Office of Health Economics; 2002.
11. World Health Organization. ICD-10: International statistical classification of diseases and related health problems tenth revision. Geneva: World Health Organization; 1992.
12. Lwanga SK, Lemeshow S. Sample size determination in health studies: a practical manual. Geneva: World Health Organization; 1991.
13. Munnae K. Factors affecting drug and other treatment expenditure in traffic accident patients [M.S. Thesis in Pharmacy (Pharmacy Administration)]. Bangkok: Faculty of Graduate studies, Mahidol University; 1999.
14. Cohen J, Cohen P, West SG, Aiken LS. Applied multiple regression/ correlation analysis for the behavioral sciences Third ed. New Jersey: Lawrence Erlbaum Associates, Inc.; 2003.
15. Bank of Thailand. Foreign Exchange Rates Bank of Thailand. Available at: http://www.bot.or.th/bothomepage/databank/FinMarkets/ExchangeRate/exchange_e.asp. Accessed February 5, 2007.
16. Petitta A, Patel RP, Zarowitz BJ. Developing a drug-cost model for a capitated patient population in an integrated health care system. Am J Health Syst Pharm. 2002;59(2):143-146.
17. Duan N. Smearing estimator: a nonparametric retransformation method. J Am Stat Assoc. 1983;78(383):605-610.
18. Smith M, Barnett P. What is retransformation bias, and how can it be corrected? Available at: www.herc.research.med.va.gov/faqE2_retransformation.pdf Accessed August 5, 2005.
19. Zhou X-HA, Ramsey S. Assessing the equality of means of healthcare costs. Expert Rev Pharmacoeconomics Outcomes Res. 2003;3(5):561-567.
20. Hendrie D, Rosman DL, Harris AH. Hospital inpatient costs resulting from road crashes in Western Australia. Aust J Public Health. 1994;18(4):380-388.
21. Langley JD, Phillips D, Marshall SW. Inpatient costs of injury due to motor vehicle traffic crashes in New Zealand. Accid Anal Prev. 1993;25(5):585-592.
22. Chaikledkaew U, Pongcharoensuk P, Ongphiphadhanakul B, Chaiyakunapruk N. Factors associated with healthcare expenditures and hospitalizations in Thai patients with diabetes at four public hospitals. Mahidol Univ J Pharm Sci. 2005;32:1-6.
23. Riewpaiboon A, Intraprakan K, Phoungkatesunthorn S. Predicting treatment cost of bacterial diarrhea at a regional Hospital in Thailand. Bangkok: Faculty of Pharmacy, Mahidol University; 2007.
24. Riewpaiboon A, Youngkong S, Sreshthaputra N, Stewart JF, Samosornsuk S, Chaicumpa W, et al. A cost function analysis of shigellosis in Thailand. Value in Health 2008 (accepted).
25. Thanaboriboon Y. Risk factors of road traffic accident (in Thai language). Health situation in Thailand. 2006;2(10):1-6.
26. Jirojwong S, Rudtanasudjatum K, Watcharavitoon P, Sathitsathien W, Sangjun S. Non-fatal injuries sustained in road traffic accidents: a pilot study in provincial hospitals in Chon Buri, Thailand. Southeast Asian J Trop Med Public Health. 2002;33(1):193-200.
27. Bates J, Henk dB, Cross PN, Dias V, Hartman AF, Hewitt W, et al. Managing drug supply; the selection, procurement, distribution, and use of pharmaceuticals in primary health care. Boston: Management Sciences for Health; 1981.
28. Barber JA, Thompson SG. Analysis and interpretation of cost data in randomised controlled trials: review of published studies. BMJ. 1998;317:1195-1200.
29. Hoffman JM, Shah ND, Vermeulen LC, Hunkler RJ, Hontz KM. Projecting future drug expenditures--2005. Am J Health Syst Pharm. 2005;62:149-167.
30. Shepard DS, Hodgkin D, Anthony YE. Analysis of hospital costs: a manual for managers. Geneva: The World Health Organization; 2000.