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1.
Pediatrics ; 142(5)2018 11.
Artigo em Inglês | MEDLINE | ID: mdl-30287591

RESUMO

: media-1vid110.1542/5804911840001PEDS-VA_2017-3723Video Abstract OBJECTIVES: Describe development curves of motor and daily activity performance in individuals with cerebral palsy (CP). METHODS: Participants with CP aged 1 to 20 years at baseline (n = 421) and Gross Motor Functioning Classification System (GMFCS) levels I to V (27% of participants with intellectual disability [ID]) were longitudinally assessed up to a 13-year follow-up period. Motor and daily activity performance were assessed using the relevant subdomains of the Vineland Adaptive Behavior Scales survey. Nonlinear mixed effects analyses were used, estimating the limit (average maximal performance level) and the age by which individuals reached 90% of the limit (age90). RESULTS: Limits of motor performance decreased with each lower functional level. Age90 for motor performance was reached at ∼6 to 8 years of age in children with GMFCS levels I to III, and at younger ages in those with lower functional levels. Limits of daily activity performance did not differ between individuals without ID with GMFCS levels I to III. The age90s of daily activities were reached between 11 and 14 (personal), 26 and 32 (domestic), and 22 and 26 years of age (community). Individuals with ID reached lower daily activity performance limits earlier. CONCLUSIONS: Individuals with CP continue to develop motor performance after gross motor capacity limits are reached. For those without ID, daily activities continue to develop into their 20s. Individuals who are severely affected functionally have the least favorable development of motor performance, and those with ID have the least favorable development of daily activity performance.


Assuntos
Atividades Cotidianas , Paralisia Cerebral/fisiopatologia , Desenvolvimento Infantil/fisiologia , Destreza Motora/fisiologia , Adolescente , Adulto , Criança , Pré-Escolar , Estudos de Coortes , Avaliação da Deficiência , Feminino , Humanos , Lactente , Estudos Longitudinais , Masculino , Índice de Gravidade de Doença , Adulto Jovem
2.
Glob Health Action ; 7: 23573, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-24685170

RESUMO

BACKGROUND: Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information for efficient resource allocation. However, limited data availability and limited expertise constrain such studies in low- and middle-income countries (LMICs). OBJECTIVE: To describe a step-by-step guideline for conducting disease-specific costing studies in LMICs where data availability is limited and to illustrate how the guideline was applied in a costing study of cardiovascular disease prevention care in rural Nigeria. DESIGN: The step-by-step guideline provides practical recommendations on methods and data requirements for six sequential steps: 1) definition of the study perspective, 2) characterization of the unit of analysis, 3) identification of cost items, 4) measurement of cost items, 5) valuation of cost items, and 6) uncertainty analyses.Please provide the significance of asterisk given in table body. RESULTS: We discuss the necessary tradeoffs between the accuracy of estimates and data availability constraints at each step and illustrate how a mixed methodology of accurate bottom-up micro-costing and more feasible approaches can be used to make optimal use of all available data. An illustrative example from Nigeria is provided. CONCLUSIONS: An innovative, user-friendly guideline for disease-specific costing in LMICs is presented, using a mixed methodology to account for limited data availability. The illustrative example showed that the step-by-step guideline can be used by healthcare professionals in LMICs to conduct feasible and accurate disease-specific cost analyses.


Assuntos
Países em Desenvolvimento/economia , Doença/economia , Custos de Cuidados de Saúde , Doenças Cardiovasculares/economia , Doenças Cardiovasculares/prevenção & controle , Análise Custo-Benefício , Custos de Cuidados de Saúde/estatística & dados numéricos , Humanos , Nigéria , Incerteza
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