gs.unsw.edu.au/policy/documents/researchdataproc.pdf. Quality assurance procedures will be built into the data management system and implemented alongside other data management activities to ensure timely detection and resolution of errors in the data. A central project database that is password protected www.selleckchem.com/products/carfilzomib-pr-171.html will be established using the UNSW research data portal. This will be the ultimate home of the data and will be established in advance of data collection. Access to the database will be given only to members of the study team and country institutions collaborating on the project such as the MoH. The use of e-data

collection method means that data can be transferred directly from the field to the project central database immediately after collection. There will be a dedicated staff member to receive all data and prepare it for analysis.

The data will be archived using the UNSW long-term data archiving system. Discussion This study seeks to support country efforts towards achieving UHC by providing policymakers in Fiji and Timor-Leste with evidence on the equity of their current health financing arrangements. In Fiji, this involves the application of internationally accepted methods for measuring health financing equity, namely BIA and FIA.49 In Timor-Leste, it makes advances on these standard methods to explore the reasons for the inequitable distribution of healthcare benefits using qualitative and quantitative approaches. Regionally, the timing of the study is ideal. There is growing interest in ‘pro poor’ reforms across the Asia-Pacific region particularly in view of the targets established by the MDGs. The comprehensiveness of this study in terms of covering both the public and private sectors will also mean our findings are relevant to a growing number of countries in the region with a thriving private sector. For Fiji and Timor-Leste the potential benefits from this

study are significant. In Fiji, the study represents the first attempt to undertake a nationally representative household survey on utilisation of healthcare services. Batimastat It is also the first attempt to use an electronic data collection system in a household survey in Fiji. The recommendations made will assist the FBoS to improve national surveys by capturing essential parameters of healthcare utilisation, health expenditure by households and socioeconomic stratifiers necessary for estimating household wealth indexes. The introduction of e-data collection may also help mobilise support within FBoS for a move from paper-based to electronic data collection, improving further the overall efficiency of data gathering and analysis in the country.