Literature DB >> 12391942

Cost-utility analysis of patient care in children with meningeal signs.

Rianne Oostenbrink1, Jan B Oostenbrink, Karel G M Moons, Gerarda Derksen-Lubsen, Marie-Louise Essink-Bot, Diederick E Grobbee, W Ken Redekop, Henriëtte A Moll.   

Abstract

OBJECTIVES: We designed a model of diagnostic and therapeutic interventions applied in children with meningeal signs. Using this model, we determined in a cost-utility analysis the consequences for society of different diagnostic strategies in terms of quality-adjusted life-years (QALYs) and costs.
METHODS: Data were used from 360 children (0.1-15 years) visiting the pediatric emergency department of the Sophia Children's Hospital Rotterdam, The Netherlands (1988-98) with meningeal signs. Model inputs included probabilities of meningitis and adverse outcome, QALYs for years lived with long-term sequelae, and costs of tests and treatments. Mean outcome measures were costs and effects of diagnostic and therapeutic interventions in children suspected of bacterial meningitis, key determinants of the model outcomes, and evaluation of alternative diagnostic strategies and two vaccination programs in an analysis.
RESULTS: The population comprised 99 children with bacterial meningitis (adverse outcome in 10), 36 with serious other bacterial infections, and 225 with self-limiting diseases. Key determinants were the risk of bacterial meningitis or sequelae, costs of treatment, and long-term morbidity. Minimizing lumbar punctures and empirical treatments using a diagnostic decision rule, without missing a single case of meningitis, was a dominant strategy to actual practice. Vaccination strategies of Streptococcus pneumoniae and Neisseria meningitidis resulted in our model in incremental cost-utility ratios of 401,965 Euro dollar ([symbol: see text])/QALY and [symbol: see text]22,635/QALY, respectively.
CONCLUSIONS: Costs of long-term morbidity of bacterial meningitis largely outweigh diagnostic and treatment costs. Modeling interventions in children at risk of bacterial meningitis should include long-term consequences in terms of costs and QALYs.

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Year:  2002        PMID: 12391942

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  9 in total

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Review 2.  Evaluating health-related quality-of-life studies in paediatric populations: some conceptual, methodological and developmental considerations and recent applications.

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Authors:  Yevgeniy R Semenov; Susan T Yeh; Meena Seshamani; Nae-Yuh Wang; Emily A Tobey; Laurie S Eisenberg; Alexandra L Quittner; Kevin D Frick; John K Niparko
Journal:  Ear Hear       Date:  2013 Jul-Aug       Impact factor: 3.570

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Authors:  Sebastián García Martí; Lisandro Colantonio; Ariel Bardach; Julieta Galante; Analía Lopez; Joaquín Caporale; Gerhart Knerer; Jorge Alberto Gomez; Federico Augustovski; Andrés Pichon-Riviere
Journal:  Cost Eff Resour Alloc       Date:  2013-08-30

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Authors:  Jorge Alberto Gomez; Juan Carlos Tirado; Aldo Amador Navarro Rojas; Maria Mercedes Castrejon Alba; Oleksandr Topachevskyi
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6.  Cost-effectiveness analysis of routine pneumococcal vaccination in the UK: a comparison of the PHiD-CV vaccine and the PCV-13 vaccine using a Markov model.

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Journal:  BMJ Open       Date:  2016-11-30       Impact factor: 2.692

7.  Overall effectiveness of pneumococcal conjugate vaccines: An economic analysis of PHiD-CV and PCV-13 in the immunization of infants in Italy.

Authors:  Paolo Castiglia; Lorenzo Pradelli; Stefano Castagna; Veronica Freguglia; Giorgio Palù; Susanna Esposito
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8.  Clinicians' overestimation of febrile child risk assessment.

Authors:  Evelien deVos-Kerkhof; Damian Roland; Esther de Bekker-Grob; Rianne Oostenbrink; Monica Lakhanpaul; Henriëtte A Moll
Journal:  Eur J Pediatr       Date:  2015-12-04       Impact factor: 3.183

9.  Economic Analyses of Respiratory Tract Infection Diagnostics: A Systematic Review.

Authors:  Simon van der Pol; Paula Rojas Garcia; Maarten J Postma; Fernando Antoñanzas Villar; Antoinette D I van Asselt
Journal:  Pharmacoeconomics       Date:  2021-07-15       Impact factor: 4.981

  9 in total

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