Literature DB >> 22507700

Non-hospital DOT and early diagnosis of tuberculosis reduce costs while achieving treatment success.

K Pichenda1, K Nakamura, A Morita, M Kizuki, K Seino, T Takano.   

Abstract

OBJECTIVE: 1) To evaluate the tuberculosis (TB) related financial burden of patients and health care providers over the course of diagnosis and treatment by choice of directly observed treatment (DOT); and 2) to examine treatment outcomes for different DOT programmes in Cambodia. SETTING AND
DESIGN: Subjects were patients diagnosed with smear-positive pulmonary TB between July 2008 and January 2009 at 17 health facilities providing multiple DOT programmes. Treatment outcomes for the different DOT programmes as well as direct and indirect household costs and medical delivery costs for the treatment and care of 277 patients were examined.
RESULTS: Per patient costs of anti-tuberculosis treatment for patients with non-multidrug-resistant TB who did not have human immunodeficiency virus co-infection ranged from a high of US$1900 for in-patient DOT to a low of $395 for DOT provided at home. All costs among patients treated with hospital DOT were consistently higher than for those treated with non-hospital DOT. The percentage of treatment success was not significantly different between hospital and non-hospital DOT programmes (all >89%).
CONCLUSION: Non-hospital DOT programmes ease the financial burden on both patients and health care providers, while resulting in treatment success rates similar to those of hospital DOT.

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Year:  2012        PMID: 22507700     DOI: 10.5588/ijtld.11.0688

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  13 in total

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Authors:  Yoko V Laurence; Ulla K Griffiths; Anna Vassall
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2.  Economic support to patients in HIV and TB grants in rounds 7 and 10 from the global fund to fight AIDS, tuberculosis and malaria.

Authors:  Linda M Richter; Knut Lönnroth; Chris Desmond; Robin Jackson; Ernesto Jaramillo; Diana Weil
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3.  Cost-effectiveness of a tuberculosis active case finding program targeting household and neighborhood contacts in Cambodia.

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Journal:  Am J Trop Med Hyg       Date:  2014-03-10       Impact factor: 2.345

4.  Factors that associated with TB patient admission rate and TB inpatient service cost: a cross-sectional study in China.

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Journal:  Infect Dis Poverty       Date:  2016-01-20       Impact factor: 4.520

5.  The socioeconomic impact of multidrug resistant tuberculosis on patients: results from Ethiopia, Indonesia and Kazakhstan.

Authors:  Susan van den Hof; David Collins; Firdaus Hafidz; Demissew Beyene; Aigul Tursynbayeva; Edine Tiemersma
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Review 6.  The Financial Burden of Tuberculosis for Patients in the Western-Pacific Region.

Authors:  Kerri Viney; Tauhidul Islam; Nguyen Binh Hoa; Fukushi Morishita; Knut Lönnroth
Journal:  Trop Med Infect Dis       Date:  2019-06-17

7.  Pretreatment Out-of-Pocket Expenses for Presumptive Multidrug-Resistant Tuberculosis Patients, India, 2016-2017.

Authors:  Priya Rathi; Kalpita Shringarpure; Bhaskaran Unnikrishnan; Vineet Kumar Chadha; Vishak Acharya; Abirami Nair; Karuna D Sagili; Suresh Shastri
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8.  Challenges from Tuberculosis Diagnosis to Care in Community-Based Active Case Finding among the Urban Poor in Cambodia: A Mixed-Methods Study.

Authors:  Natalie Lorent; Kimcheng Choun; Shelly Malhotra; Pichenda Koeut; Sopheak Thai; Kim Eam Khun; Robert Colebunders; Lut Lynen
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

Review 9.  Financial burden for tuberculosis patients in low- and middle-income countries: a systematic review.

Authors:  Tadayuki Tanimura; Ernesto Jaramillo; Diana Weil; Mario Raviglione; Knut Lönnroth
Journal:  Eur Respir J       Date:  2014-02-13       Impact factor: 16.671

10.  Mitigating Financial Burden of Tuberculosis through Active Case Finding Targeting Household and Neighbourhood Contacts in Cambodia.

Authors:  Fukushi Morishita; Rajendra-Prasad Yadav; Mao Tan Eang; Saly Saint; Nobuyuki Nishikiori
Journal:  PLoS One       Date:  2016-09-09       Impact factor: 3.240

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