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Longitudinal Analysis of Market Utilization / Pharmaceutical Sales Data Christine Lu Harvard Medical School and Harvard Pilgrim Health Care Institute WHO Collaborating Center in Pharmaceutical Policy ICIUM 2011 (Poster 878) WHO Collaborating Center in Pharmaceutical Policy
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Acknowledgements Co-investigators: Dennis Ross-Degnan, Anita Wagner, Bao Liu, Peter Stephens IMS Health for providing the data Location of work: Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute Conflict of interest: None
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Overview Background / Context The data Challenges Opportunities
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Background – China Country: China Most medicines sold in hospitals (80%) Hospitals rely on profits from pharmaceutical sales to cover operating costs Policy of interest: Medicine price regulations for antidiabetic products Set product’s maximum retail price
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Study aim To examine the effects of two targeted price regulations on purchasing of insulin and oral hypoglycemics in Chinese hospitals Dec 2001 Dec 2006
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IMS data Longitudinal, quarterly data 1999-2004 2004-2009 Volume data: standard units sold (e.g. one tablet) Individual product-level, can be rolled up to Drug level e.g. metformin Drug class level e.g. biguanides Categories: price regulated vs. non-regulated Adjust for population Calculate percentage market share
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IMS data: Data elements Variable nameExample Country_ctyChina hospital Time of procurement2003 q1 Anatomical Therapeutic Class 2A10 (drugs used in diabetes) Anatomical Therapeutic Class 4A10H0 (sulphonylureas A-diabs) MoleculeGliclazide International packTablet 30mg 30 Launch date200310 ProductDiamicron ManufacturerSERVIER-TIANJIN Licensing statusOriginal brand Further details see “IMS MIDAS Quantum Data Elements, Measures and Statistics”
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Interrupted Time Series Prior to using this method: Understanding the policy Sufficient data points before and after the time of the policy Segmented regression: Estimate changes in level and trend (slope) post-policy Control for pre-existing level and trend Wagner AK et al. J Clin Pharm Ther 2002
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Organizing data for time series plot
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Organizing data for segmented regression
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Some results Increase in trend of sales volume (0.18 standard units sold/1000 people/quarter) Price regulation
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Summary of the study China’s price regulations for antidiabetics were associated with: Increase in utilization of antidiabetics No meaningful change in market share of price- regulated antidiabetic products ? Impact of price regulation on medicine costs for Patients Hospitals The system
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Challenges IMS data-related Only capture hospital data in China BUT most medicines are sold in hospitals Come from a sample of Chinese hospitals ( ≥ 100 beds) Volume data more reliable than pricing data Non IMS data-related Relative drug prices
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Opportunities Clean, well-structured data from IMS Health Data specifics well documented Longitudinal data so can use ITS method A large sample of hospitals across the country Volume data available at the individual-product level Small data file size manageable in MS Excel (& SAS) Building a good collaboration
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