Literature DB >> 9194242

Costs and benefits of improving tuberculosis control: the case of Thailand.

H Sawert1, S Kongsin, V Payanandana, P Akarasewi, P P Nunn, M C Raviglione.   

Abstract

The study evaluates the economic costs and benefits of improving tuberculosis control interventions in Thailand. Provider costs are determined on the basis of marginal treatment costs for varying case numbers and estimates of the cost of required infrastructure changes. Indirect costs are calculated as income lost due to morbidity and premature mortality. An epidemiological model is used to calculate case numbers and mortality under current control conditions and a scenario of improved control. An improved control strategy initially leads to a higher number of detected cases. For longer projection periods, the epidemiological impact of curing a higher proportion of infectious sources results in lower case numbers than those expected without programme improvement. Model simulations show a reduction of total annual case numbers through improved control measures by an average 45% after a simulation period of 20 years. The corresponding societal savings in form of reduced indirect costs from the disease are U.S.$2.4 billion. Reductions in direct provider costs can be expected as a result of decreased numbers of detected cases for longer evaluation periods, as well as a lower proportion of multi-drug-resistant cases. The mean value of predicted savings is U.S.$8.3 million. Since this value is likely to be higher than the required investment in improved infrastructure, net savings can be expected. The result of an uncertainty analysis shows a wide range of potential additional costs or net savings with respect to direct provider costs. Indirect cost calculations show net savings for all parameter values.

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Year:  1997        PMID: 9194242     DOI: 10.1016/s0277-9536(96)00289-4

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  9 in total

1.  Determinants of household direct and indirect costs: an insight for health-seeking behaviour in Burkina Faso.

Authors:  Tin Tin Su; Steffen Flessa
Journal:  Eur J Health Econ       Date:  2011-09-28

2.  Evaluating the potential impact of the new Global Plan to Stop TB: Thailand, 2004-2005.

Authors:  Jay K Varma; Daranee Wiriyakitjar; Sriprapa Nateniyom; Amornrat Anuwatnonthakate; Patama Monkongdee; Surin Sumnapan; Somsak Akksilp; Wanchai Sattayawuthipong; Pricha Charunsuntonsri; Somsak Rienthong; Norio Yamada; Pasakorn Akarasewi; Charles D Wells; Jordan W Tappero
Journal:  Bull World Health Organ       Date:  2007-08       Impact factor: 9.408

3.  Heightened vulnerability to MDR-TB epidemics after controlling drug-susceptible TB.

Authors:  Jason D Bishai; William R Bishai; David M Bishai
Journal:  PLoS One       Date:  2010-09-22       Impact factor: 3.240

4.  Impact and cost-effectiveness of new tuberculosis vaccines in low- and middle-income countries.

Authors:  Gwenan M Knight; Ulla K Griffiths; Tom Sumner; Yoko V Laurence; Adrian Gheorghe; Anna Vassall; Philippe Glaziou; Richard G White
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-06       Impact factor: 11.205

Review 5.  Costs to Health Services and the Patient of Treating Tuberculosis: A Systematic Literature Review.

Authors:  Yoko V Laurence; Ulla K Griffiths; Anna Vassall
Journal:  Pharmacoeconomics       Date:  2015-09       Impact factor: 4.981

6.  The economic burden of chronic non-communicable diseases in rural Malawi: an observational study.

Authors:  Qun Wang; Stephan Brenner; Olivier Kalmus; Hastings Thomas Banda; Manuela De Allegri
Journal:  BMC Health Serv Res       Date:  2016-09-01       Impact factor: 2.655

Review 7.  The provider cost of treating tuberculosis in Bauchi State, Nigeria.

Authors:  Nisser Umar; Richard Fordham; Ibrahim Abubakar; Max Bachmnn
Journal:  J Public Health Afr       Date:  2011-09-05

8.  A Systematic Review of Methodological Variation in Healthcare Provider Perspective Tuberculosis Costing Papers Conducted in Low- and Middle-Income Settings, Using An Intervention-Standardised Unit Cost Typology.

Authors:  Lucy Cunnama; Gabriela B Gomez; Mariana Siapka; Ben Herzel; Jeremy Hill; Angela Kairu; Carol Levin; Dickson Okello; Willyanne DeCormier Plosky; Inés Garcia Baena; Sedona Sweeney; Anna Vassall; Edina Sinanovic
Journal:  Pharmacoeconomics       Date:  2020-08       Impact factor: 4.981

9.  Tuberculosis screening costs and cost-effectiveness in high-risk groups: a systematic review.

Authors:  H Alsdurf; B Empringham; C Miller; A Zwerling
Journal:  BMC Infect Dis       Date:  2021-09-08       Impact factor: 3.090

  9 in total

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