Literature DB >> 24219047

Cost-effectiveness analysis of rheumatic heart disease prevention strategies.

Rizwan A Manji1, Julia Witt, Paramjit S Tappia, Young Jung, Alan H Menkis, Bram Ramjiawan.   

Abstract

Rheumatic heart disease (RHD), secondary to group A streptococcal infection is endemic in the developing as well as parts of the developed world with significant costs to the patient, and to the healthcare system. We briefly review the prevalence and cost of RHD in developed and developing nations. We subsequently develop a Markov model to evaluate the cost-effectiveness of three strategies (vs standard no prevention) for preventing RHD in a developing world country: primary prophylaxis (throat swab to detect and subsequently treat group A streptococci as needed); primary prophylaxis (antibiotic prophylaxis for all) with benzathine penicillin G once monthly to all patients (ages 5-21 years) regardless of evidence of infection; and secondary prophylaxis with monthly only to those with echocardiographic evidence of early RHD. Our model suggests that echocardiographic screening and secondary prophylaxis is the best strategy although the strategies change depending on parameters used.

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Year:  2013        PMID: 24219047     DOI: 10.1586/14737167.2013.852470

Source DB:  PubMed          Journal:  Expert Rev Pharmacoecon Outcomes Res        ISSN: 1473-7167            Impact factor:   2.217


  11 in total

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Authors:  Jonathan R Carapetis; Andrea Beaton; Madeleine W Cunningham; Luiza Guilherme; Ganesan Karthikeyan; Bongani M Mayosi; Craig Sable; Andrew Steer; Nigel Wilson; Rosemary Wyber; Liesl Zühlke
Journal:  Nat Rev Dis Primers       Date:  2016-01-14       Impact factor: 52.329

2.  Echo-based screening of rheumatic heart disease in children: a cost-effectiveness Markov model.

Authors:  Justin P Zachariah; Mihail Samnaliev
Journal:  J Med Econ       Date:  2015-02-09       Impact factor: 2.448

3.  Rheumatic heart disease among adults in a mining community of Papua, Indonesia: findings from an occupational cohort.

Authors:  Rodrigo Rodriguez-Fernandez; Rachel Amiya; Rosemary Wyber; Wishnu Widdodow; Johnathan Carapetis
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4.  Rheumatic heart disease in Tennessee: An overlooked diagnosis.

Authors:  Shahana A Choudhury; Vernat Exil
Journal:  SAGE Open Med Case Rep       Date:  2014-03-10

Review 5.  Rheumatic heart disease screening: Current concepts and challenges.

Authors:  Scott Dougherty; Maziar Khorsandi; Philip Herbst
Journal:  Ann Pediatr Cardiol       Date:  2017 Jan-Apr

6.  A Cost-Effectiveness Tool to Guide the Prioritization of Interventions for Rheumatic Fever and Rheumatic Heart Disease Control in African Nations.

Authors:  David Watkins; Solomon J Lubinga; Bongani Mayosi; Joseph B Babigumira
Journal:  PLoS Negl Trop Dis       Date:  2016-08-11

7.  Echocardiographic Screening for Rheumatic Heart Disease in Indigenous Australian Children: A Cost-Utility Analysis.

Authors:  Kathryn Roberts; Jeffrey Cannon; David Atkinson; Alex Brown; Graeme Maguire; Bo Remenyi; Gavin Wheaton; Elizabeth Geelhoed; Jonathan R Carapetis
Journal:  J Am Heart Assoc       Date:  2017-03-02       Impact factor: 5.501

8.  Rheumatic Heart Disease Severity, Progression and Outcomes: A Multi-State Model.

Authors:  Jeffrey Cannon; Kathryn Roberts; Catherine Milne; Jonathan R Carapetis
Journal:  J Am Heart Assoc       Date:  2017-03-02       Impact factor: 5.501

Review 9.  Recent Advances in the Rheumatic Fever and Rheumatic Heart Disease Continuum.

Authors:  Joselyn Rwebembera; Bruno Ramos Nascimento; Neema W Minja; Sarah de Loizaga; Twalib Aliku; Luiza Pereira Afonso Dos Santos; Bruno Fernandes Galdino; Luiza Silame Corte; Vicente Rezende Silva; Andrew Young Chang; Walderez Ornelas Dutra; Maria Carmo Pereira Nunes; Andrea Zawacki Beaton
Journal:  Pathogens       Date:  2022-01-28

10.  A cost-effectiveness analysis of a program to control rheumatic fever and rheumatic heart disease in Pinar del Rio, Cuba.

Authors:  David A Watkins; Mercy Mvundura; Porfirio Nordet; Bongani M Mayosi
Journal:  PLoS One       Date:  2015-03-13       Impact factor: 3.240

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