| Literature DB >> 31779571 |
Willyanne DeCormier Plosky1, Lori A Bollinger1, Lily Alexander2, Drew B Cameron3, Lauren N Carroll4, Lucy Cunnama5, Gabriela B Gomez6, Carol Levin2, Elliot Marseille7, Mohamed Mustafa Diab4, Mariana Siapka6, Edina Sinanovic5, Anna Vassall6, James G Kahn4.
Abstract
Consistently defined, accurate, and easily accessible cost data are a valuable resource to inform efficiency analyses, budget preparation, and sustainability planning in global health. The Global Health Cost Consortium (GHCC) designed the Unit Cost Study Repository (UCSR) to be a resource for standardised HIV and TB intervention cost data displayed by key characteristics such as intervention type, country, and target population. To develop the UCSR, the GHCC defined a typology of interventions for each disease; aligned interventions according to the standardised principles, methods, and cost and activity categories from the GHCC Reference Case for Estimating the Costs of Global Health Services and Interventions; completed a systematic literature review; conducted extensive data extraction; performed quality assurance; grappled with complex methodological issues such as the proper approach to the inflation and conversion of costs; developed and implemented a study quality rating system; and designed a web-based user interface that flexibly displays large amounts of data in a user-friendly way. Key lessons learned from the extraction process include the importance of assessing the multiple uses of extracted data; the critical role of standardising definitions (particularly units of measurement); using appropriate classifications of interventions and components of costs; the efficiency derived from programming data checks; and the necessity of extraction quality monitoring by senior analysts. For the web interface, lessons were: understanding the target audiences, including consulting them regarding critical characteristics; designing the display of data in "levels"; and incorporating alert and unique trait descriptions to further clarify differences in the data.Entities:
Keywords: database; reference case; systematic review; tuberculosis
Mesh:
Year: 2019 PMID: 31779571 DOI: 10.2989/16085906.2019.1680398
Source DB: PubMed Journal: Afr J AIDS Res ISSN: 1608-5906 Impact factor: 1.300