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. 2016 Jan 15;25(Suppl Suppl 1):42–52. doi: 10.1002/hec.3304

Table 2.

Framework for planning/reporting data collection

Study planning component Items for consideration
Comprehensiveness of survey design • Which OOP expenditures are included?
• What is the level of disaggregation in cost ingredients and how long is the survey?
• Are any context‐specific variables included?
• How is income measured, and whose income is collected (i.e., personal or household income)?
Time frame and recall • What is the recall period for the survey? Is it appropriate to capture all economic outcomes?
• What is the complexity of the disease pathway? Is there resulting potential for recall bias?
• Is there potential for cost truncation in the context of chronic disease and/or future complications?
• Are coping strategies used to estimate the long‐term economic impact of health spending?
• What is the recall period for income measurement (i.e., current vs. pre‐diagnosis)?
Sample size and representativeness • What is the confidence interval and margin of error deemed acceptable?
• If estimating impoverishing expenditures, what is the distribution of pre‐diagnosis income relative to the poverty line?
• Are any adjustments to sample size required to account for clustering or non‐response?
Data sources and survey administration • Is a cost diary or recall used to capture expenditures?
• Are data supplemented with any additional data sources, such as retrospective records review or GIS data?
• Where is the interview conducted and by whom?
• What is the medium of collecting and recording data (i.e., electronic, paper, or telephone surveys)?

GIS, geographic information system.