Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Heart Diseases Registries Based on Healthcare Databases

  • Chapter
  • First Online:
New Diagnostic, Therapeutic and Organizational Strategies for Acute Coronary Syndromes Patients

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Abstract

The present study aims to promote incidence and prevalence estimates, to evaluate potential benefits and harms of specific health policies and to evaluate adherence to best practice by quality indicators based on administrative and textual databases (DB).

Specific items include (a) definition of extraction criteria and data collection from healthcare DB, (b) data quality control and effective record linkage across DBs, (c) sensitivity analysis on incidence and prevalence estimates, (d) adherence to best practice by means of quality indicators, and (e) providing domain and linguistic knowledge for developing text mining tools and resources.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Every, N.R., Frederick, P.D., Robinson, M., et al.: A comparison of the national registry of myocardial infarction 2 with the cooperative cardiovascular project. J. Am. Coll. Cardiol. 33, 1886–1894 (1999)

    Article  Google Scholar 

  2. Manuel, D.G., Lim, J.J., Tanuseputro, P., Stukel, T.A.: How many people have had a myocardial infarction? Prevalence estimated using historical hospital data. BMC Public Health 7, 174 (2007)

    Article  Google Scholar 

  3. Ferrario, M., Cesana, G., Vanuzzo, D., Pilotto, L., Sega, R., Chiodini, P., Giampaoli, S.: Surveillance of ischaemic heart disease: results from the Italian MONICA populations. Int. J. Epidemiol. 30(Suppl 1), S23–S29 (2001)

    Article  Google Scholar 

  4. Ferrario, M., Fornari, C., Bolognesi, L., et al.: Recenti andamenti temporali dei tassi di infarto miocardico in nord Italia. Risultati dei registri IM MONICA e CAMUNI in Brianza: 1993–1994 versus 1997–1998. Ital. Heart J. Suppl. 8, 651–657 (2003)

    Google Scholar 

  5. Barendregt, J.J., Van Oortmarssen, G.J., Vos, T., Murray, C.J.: A generic model for the assessment of disease epidemiology: the computational basis of DisMod II. Popul Health Metr. 1, 4 (2003)

    Article  Google Scholar 

  6. Hanratty, R., Estacio, R.O., Dickinson, L.M., Chandramouli, V., et al.: Latino using cardio health actions to reduce risk study investigators. Testing electronic algorithms to create disease registries in a safety net system. J Health Care Poor Underserved 19, 452–465 (2008)

    Article  Google Scholar 

  7. Wiréhn, A.B.., Karlsson, H.M., Carstensen, J.M.: Estimating disease prevalence using a population-based administrative healthcare database. Scand. J. Public Health 35, 424–431 (2007)

    Article  Google Scholar 

  8. Van Brabandt, H., Camberlin, C., Vrijens, F., Parmentier, Y., et al.: More is not better in the early care of acute myocardial infarction: a prospective cohort analysis on administrative databases. Eur. Heart J. 27, 2649–2654 (2006)

    Article  Google Scholar 

  9. Raftery, J., Roderick, P., Stevens, A.: Potential use of routine databases in health technology assessment. Health Technol. Assess. 9, 1–92 (2005)

    Google Scholar 

  10. Pavesi, P.C., Casella, G., Di Pasquale, G.: I registri permanenti: un sogno irrealizzabile per il cardiologo italiano? G. Ital. Cardiol. 9, 181–184 (2008)

    Google Scholar 

  11. Tu, J.V., Khalid, L., Donovan, L.R., Ko, D.T., Canadian Cardiovascular Outcomes Research Team/Canadian Cardiovascular Society Acute Myocardial Infarction Quality Indicator Panel: Indicators of quality of care for patients with acute myocardial infarction. Can. Med. Assoc. J. 179, 909–915 (2008)

    Article  Google Scholar 

  12. Masoudi, F.A., Bonow, R.O., Brindis, R.G., ACC/AHA Task Force on Performance Measures, et al.: ACC/AHA 2008 statement on performance measurement and reperfusion therapy: a report of the ACC/AHA task force on performance measures. Circulation 118, 2649–2661 (2008)

    Article  Google Scholar 

  13. Koek, H.L., de Bruin, A., Gast, A., Gevers, E., et al.: Incidence of first acute myocardial infarction in the Netherlands. Neth. J. Med. 65, 434–441 (2007)

    Google Scholar 

  14. Roger, V.L., Weston, S.A., Gerber, Y., Killian, J.M., et al.: Trends in incidence, severity, and outcome of hospitalized myocardial infarction. Circulation 121, 863–869 (2010)

    Article  Google Scholar 

  15. Movahed, M.R., Ramaraj, R., Hashemzadeh, M., Hashemzadeh, M.: Nationwide trends in the age adjusted prevalence of non-ST elevation myocardial infarction (NSTEMI) across various races and gender in the USA. Acute Card. Care 12, 58–62 (2010)

    Article  Google Scholar 

  16. Lambert, L., Blais, C., Hamel, D., Brown, K., et al.: Evaluation of care and surveillance of cardiovascular disease: can we trust medico-administrative hospital data? Can. J. Cardiol. 28, 162–168 (2012)

    Article  Google Scholar 

  17. Andrés, E., Cordero, A., Magán, P., Alegría, E., et al.: Long-term mortality and hospital readmission after acute myocardial infarction: an eight-year follow-up study. Rev. Esp. Cardiol. 65, 414–420 (2012)

    Article  Google Scholar 

  18. Ladouceur, M., Rahme, E., Pineau, C.A., Joseph, L.: Robustness of prevalence estimates derived from misclassified data from administrative databases. Biometrics 63, 272–279 (2007)

    Article  MathSciNet  Google Scholar 

  19. Varas-Lorenzo, C., Castellsague, J., Stang, M.R., Tomas, L., et al.: Positive predictive value of ICD-9 codes 410 and 411 in the identification of cases of acute coronary syndromes in the Saskatchewan Hospital automated database. Pharmacoepidemiol. Drug Saf. 17, 842–852 (2008)

    Article  Google Scholar 

  20. Merry, A.H., Boer, J.M., Schouten, L.J., Feskens, E.J., et al.: Validity of coronary heart diseases and heart failure based on hospital discharge and mortality data in the Netherlands using the cardiovascular registry Maastricht cohort study. Eur. J. Epidemiol. 24, 237–247 (2009)

    Article  Google Scholar 

  21. Rathore, S.S., Epstein, A.J., Volpp, K.G., Krumholz, H.M.: Regionalization of care for acute coronary syndromes: more evidence is needed. JAMA 293, 1383–1387 (2005)

    Article  Google Scholar 

  22. di Consenso, D.: La rete interospedaliera per l’emergenza coronarica. Ital. Heart J. 6(Suppl 6), S5–S26 (2005)

    Google Scholar 

  23. Singh, M., Holmes Jr., D.R., Dehmer, G.J., Lennon, R.J., et al.: Percutaneous coronary intervention at centers with and without on-site surgery: a meta-analysis. JAMA 306, 2487–2494 (2011)

    Article  Google Scholar 

  24. Patel, A.B.., Quan, H., Faris, P., Knudtson, M.L., et al.: Temporal associations of early patient transfers and mortality with the implementation of a regional myocardial infarction care model. Can. J. Cardiol. 27, 731–738 (2011)

    Article  Google Scholar 

  25. Glickman, S.W., Greiner, M.A., Lin, L., Curtis, L.H., et al.: Assessment of temporal trends in mortality with implementation of a statewide ST-segment elevation myocardial infarction (STEMI) regionalization program. Ann. Emerg. Med. 59, 243–252 (2012)

    Article  Google Scholar 

  26. Saia, F., Marrozzini, C., Ortolani, P., Palmerini, T., et al.: Optimisation of therapeutic strategies for ST-segment elevation acute myocardial infarction: the impact of a territorial network on reperfusion therapy and mortality. Heart 95, 370–376 (2009)

    Article  Google Scholar 

  27. Iwashyna, T.J., Christie, J.D., Moody, J., Kahn, J.M., Asch, D.A.: The structure of critical care transfer networks. Med. Care 47, 787–789 (2009)

    Article  Google Scholar 

  28. Huber, K., Goldstein, P., Danchin, N., Fox, K.A.: Network models for large cities: the European experience. Heart 96, 164–169 (2010)

    Article  Google Scholar 

  29. Huber, K.: Optimizing reperfusion therapy in acute ST-elevation myocardial infarction by a pharmaco-invasive treatment approach in a well-organized network. Eur. Heart J. 33, 1184–1186 (2012)

    Article  Google Scholar 

  30. Luke, D.A., Harris, J.K.: Network analysis in public health: history, methods, and applications. Annu. Rev. Public Health 28, 69–93 (2007)

    Article  Google Scholar 

  31. Gagne, J.J., Glynn, R.J., Avorn, J., Levin, R., Schneeweiss, S.: A combined comorbidity score predicted mortality in elderly patients better than existing scores. J. Clin. Epidemiol. 64, 749–759 (2011)

    Article  Google Scholar 

  32. Bottle, A., Aylin, P.: Comorbidity scores for administrative data benefited from adaptation to local coding and diagnostic practices. J. Clin. Epidemiol. 64, 1426–1433 (2011)

    Article  Google Scholar 

  33. Lix, L., Yogendran, M., Burchill, C., Metge, C., McKeen, N., Moore, D., Bond, R.: Defining and validating chronic diseases: an administrative data approach. Winnipeg, Manitoba Centre for Health Policy. http://mchp-appserv.cpe.umanitoba.ca/reference/chronic.disease.pdf (2006). Accessed 14 Oct 2012

  34. Gliklich, R.E, Dreyer, N.A.: Registries for evaluating patient outcomes: a user’s guide. AHRQ Publication No. 07-EHC001-1. Rockville, MD: Agency for Healthcare Research and Quality. http://effectivehealthcare.ahrq.gov/repFiles/PatOutcomes.pdf (2007). Accessed 14 Oct 2012

  35. ASSR.: Gli Indicatori per la qualità: strumenti, metodi, risultati. Supplemento al n. 15 di Monitor. http://www.agenas.it/monitor_supplementi.html (2005). Accessed 14 Oct 2012

  36. CMS.: The premier hospital quality incentive demonstration: clinical conditions and measures for reporting. http://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/downloads/HospitalPremierMeasures.pdf. Accessed 14 Oct 2012

  37. AHRQ.: QI, inpatient quality indicators #15, technical specifications, acute myocardial infarction (ami) mortality rate http://www.qualityindicators.ahrq.gov/Downloads/Modules/IQI/V44/TechSpecs/IQI%2015%20Acute%20Myocardial%20Infarction%20%28AMI%29%20Mortality%20Rate.pdf (2012). Accessed 14 October 2012

  38. Barchielli, A.: I registri di altre patologie: solo progetti pilota, nessuna rete? L’infarto miocardico. Convegno di primavera Aie 2012 http://www.epicentro.iss.it/focus/aie/pdf2012/AIE%2028%20maggio%202012/Barchielli_AIE28mag12.pdf (2012). Accessed 14 Oct 2012

  39. EUROCISS.: Indicatori raccomandati per l’Europa: Infarto acuto del miocardio. Istituto Superiore di Sanità. http://www.cuore.iss.it/eurociss/indicatori-europa/indicatori_infarto.asp (2008). Accessed 14 Oct 2012

Download references

Author information

Authors and Affiliations

  1. Department of Clinical Sciences “Luigi Sacco”, University of Milan, Milan, Italy

    Cristina Mazzali

  2. Department of Cardiology, Ospedale Uboldo, Cernusco sul Naviglio (MI), Italy

    Barbara Severgnini

  3. Epidemiological Research Unit, Azienda Ospedaliera Melegnano, Melegnano (MI), Italy

    Mauro Maistrello

  4. Quality Assessment and Risk Management, Azienda Ospedaliera Melegnano, Melegnano (MI), Italy

    Pietro Barbieri

  5. Department of Cardiology, AO San Carlo Borromeo, Milan, Italy

    Maurizio Marzegalli

Authors
  1. Cristina Mazzali
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Barbara Severgnini
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mauro Maistrello
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Pietro Barbieri
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Maurizio Marzegalli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pietro Barbieri .

Editor information

Editors and Affiliations

  1. Intensive Cardiac Care Unit, and Prehospital Emergency Care, Niguarda Hospital, Piazza Ospedale Maggiore 3, Milan, 20162, Italy

    Niccolò Grieco

  2. Department of Cardiology, AO San Carlo Borromeo, Via Pio II 3, Milan, 20153, Italy

    Maurizio Marzegalli

  3. , Mathematics, Politecnico di Milano, p.le Leonardo da Vinci 32, Milan, 20133, Italy

    Anna Maria Paganoni

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Italia

About this chapter

Cite this chapter

Mazzali, C., Severgnini, B., Maistrello, M., Barbieri, P., Marzegalli, M. (2013). Heart Diseases Registries Based on Healthcare Databases. In: Grieco, N., Marzegalli, M., Paganoni, A. (eds) New Diagnostic, Therapeutic and Organizational Strategies for Acute Coronary Syndromes Patients. Contributions to Statistics. Springer, Milano. https://doi.org/10.1007/978-88-470-5379-3_2

Download citation

Publish with us

Policies and ethics

Search

Navigation