fr-FRen-GB
fr-FRen-GB
Search

Advanced Health Indicators:
relevant indicators for health professionals


Origins of the IAS project®

In 1981 in Los Angeles a general practitioner and an immunologist noticed the appearance of a rare pneumopathy requiring exceptional antibiotic medication in 7 patients. Dr Joel WEISMAN, a general practitioner, at the time considered that this was "only the tip of the iceberg". It was based on their findings that the first report of HIV patients was published (Morbidity and Mortality Weekly Report - 5 June 1981) - Centers for Disease Control and Prevention).

The onset of new diseases -or the spread of diseases - is often accompanied by atypical variations in the need and demand for medicines, and therefore the dispensing of these medicines. The IAS® (Advanced Health Indicators) by CELTIPHARM  analyse changes in sales and can even detect atypical variations in dispensing, and can detect a break with trends.

In the United States, the indicator « the University of Michigan Consumer Sentiment Index », evaluated the American PIB according to sales. It has been published every month since 1964.  Its purpose is to forecast the American economic climate and implement corrective action.

IAS® are part of the same approach: by analysing sales of medicines in pharmacies, our teams model a number of patients, either current or potential, to be able to anticipate a likely change in the health of a population.


References

  • Surveillance of gastroenteritis in France using drug sales data - M. Pivette et al. - European Conference of Public Health - 13 November 2013
  • Auvigne V, Annesi-Maesano I, Guérin P. The real time monitoring of the occurrence of allergic reactions by the analysis of sales data from pharmacies. Narbonne, France; XIXèmes Journées d’Etudes Scientifiques du RNSA; 2014 Nov.. p. 10–1 Abstract | Presentation
  • Pivette M, Mueller JE, Crépey P, Bar-Hen A. Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review. BMC Infect Dis Internet. 2014 Nov. 18;14(1):604. Available from: http://www.biomedcentral.com/1471-2334/14/604
  • Auvigne V, Nicod F, Guérin P, Toubiana L. Combining semi logarithmic plotting and piecewise regression: a method to describe complex temporal dynamics of epidemics and to detect emerging patterns. Vienna, Austria; the Fifth International Meeting on Emerging Diseases and Surveillance, IMED; 2014 Nov. p. 87. Poster
  • Guérin P, Auvigne V. Developing a real-time syndromic surveillance system based on the monitoring of drug purchases in pharmacies: The OpenHealth.fr experience. Vienna, Austria; the Fifth International Meeting on Emerging Diseases and Surveillance, IMED; 2014 Nov. p. 46. Presentation
  • Auvigne V, Nicod F, Annesi-Maesano I, Guérin P. Space-time allergic reaction dynamics: an approach using the analysis of purchases of medication in pharmacies. Nice, France; VIth International Epidemiology Congress - ADELF EPITER; 2014 Sept. Available from: ttps://www.researchgate.net/publication/265736876. Poster
  • Auvigne V, Nicod F, Guérin P. Validation of an influenza syndrome monitoring indicator based on the purchase of medication in pharmacies. Nice, France; VIth International Epidemiology Congress - ADELF EPITER; 2014 Sept. Available from: https://www.researchgate.net/publication/265736803. Poster
  • Auvigne V, Nicod F, Annesi-Maesano I, Guérin P. Space-time allergic reaction dynamics: an approach using the analysis of purchases of medication in pharmacies. Revue d’Épidémiologie et de Santé Publique Internet. 2014 Sept. cited 2014 Oct 16;62, Supplement 5:S235–6. Available from: http://www.sciencedirect.com/science/article/pii/S0398762014005598
  • Auvigne V, Nicod F, Guérin P. Validation of an influenza syndrome monitoring indicator based on the purchase of medication in pharmacies. Revue d’Épidémiologie et de Santé Publique Internet. 2014 Sept. cited 2014 Oct. 16;62, Supplement 5:S236. Available from: ttp://www.sciencedirect.com/science/article/pii/S0398762014005604
  • Auvigne V, Nicod F, Annesi-Maesano I, Guérin P. Space-time allergic reaction dynamics: an approach using the analysis of purchases of medication in pharmacies. Revue d’Épidémiologie et de Santé Publique Internet. 2014 Sept. cited 2014 Oct 16;62, Supplement 5:S235–6. Available from: http://www.sciencedirect.com/science/article/pii/S0398762014005598

  • Auvigne V, Nicod F, Guérin P. Validation of an influenza syndrome monitoring indicator based on the purchase of medication in pharmacies. Revue d’Épidémiologie et de Santé Publique Internet. 2014 Sept. cited 2014 Oct. 16;62, Supplement 5:S236. Available from: http://www.sciencedirect.com/science/article/pii/S0398762014005604

  • Pivette M, Mueller JE, Crépey P, Bar-Hen A. Surveillance of gastrointestinal disease in France using drug sales data. Epidemics Internet. 2014 Sept.;8:1–8. Available from: http://www.sciencedirect.com/science/article/pii/S1755436514000218

  • Auvigne V, Nicod F, Guérin P. Spatiotemporal evolution of lice infestations in France – Approach by analysis of the purchase of drugs in the pharmacy Evolution spatio-temporelle de la pédiculose en France – Approche par analyse des achats de médicaments en officine. Rennes, France; 29ème. Journée Scientifique EPITER; 2014 Apr. Available from: http://www.epiter.org/spip/IMG/pdf/Auvigne_Nicod_Guerin_EPITER2014_PosterPediculose_V03_Petit.pdf . Poster

IAS® interest: Transparency, prevention, alerts, real time

"IAS type research is essential to making our health system more efficient: practitioners, researchers, health professionals all need reliable, rigorous indicators that make health advances more comprehensible, transparent and predictable.  It is a lovely ambition that we are working on through the development of appropriate mathematical models and the analysis of field data in a very strict regulatory context".

 Dr Patrick GUERIN. President of CELTIPHARM

 

IAS® are constructed in real time from field data

CELTIPHARM teams analyse changes in actual sales of medicines in pharmacies, either prescribed medicines or self-medication.

In its research laboratory, CELTIPHARM has been working on developing several key IAS since 2009®.

The IAS® will be a powerful tool for monitoring - including on an ARS scale - for a category of patients, a treatment or a specific health basket.

Specific IAS® will enable real-time alerts if an abnormality is found in the pharmacy network.