A Cross-Cultural Adaptation in Reporting Perinatal Safety Events

  • Weiying Shan
  • Chen Liang
  • Weichao Shan
  • Na Yang
  • Yang GongEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9741)


Incident reporting enables clinicians to examine historical patient safety events and to target different levels of analysis toward actionable knowledge. The cross-cultural adaptation of reporting instruments promotes the international communication on medical errors and patient safety culture.This study initializes a translation and adaptation of the Common Formats (in US) to Chinese and a localized reporting on perinatal incidents in a Chinese hospital. The results demonstrate the validity of the cross-cultural translation and diversity in a typical perinatal incident reported by Chinese clinicians. These findings suggest (1) a comprehensive data report format is critical in the incident reporting; (2) an imperative need of cross-cultural study on incident reporting; (3) future direction of incident reporting and patient safety culture.


Perinatal safety Data quality Clinical information system Cross-cultural study 



This project is in part supported by a grant on patient safety from the University of Texas System and a grant from AHRQ grant 1R01HS022895.


  1. 1.
    Kohn, L.T., Corrigan, J.M., Donaldson, M.S.: To Err Is Human: Building a Safer Health System. National Academies Press, Washington, DC (2000)Google Scholar
  2. 2.
    Mahajan, R.P.: Critical incident reporting and learning. Br. J. Anaesth. 105, 69–75 (2010)CrossRefGoogle Scholar
  3. 3.
    Pronovost, P.J., Thompson, D.A., Holzmueller, C.G., Lubomski, L.H., Dorman, T., Dickman, F., Fahey, M., Steinwachs, D.M., Engineer, L., Sexton, J.B., et al.: Toward learning from patient safety reporting systems. J. Crit. Care 21, 305–315 (2006)CrossRefGoogle Scholar
  4. 4.
    Leape, L.L., Abookire, S., World Health Organization: WHO Draft Guidelines for Adverse Event Reporting and Learning Systems: From Information to Action. World Health Organization, Geneva (2005)Google Scholar
  5. 5.
    Gong, Y.: Data consistency in a voluntary medical incident reporting system. J. Med. Syst. 35, 609–615 (2011)CrossRefGoogle Scholar
  6. 6.
    Gong, Y., Zhu, M., Li, J., Turley, J., Zhang, J.: Clinical communication ontology for medical errors. In: AMIA Annual Symposium Proceedings, p. 930. American Medical Informatics Association (2006)Google Scholar
  7. 7.
    Tamuz, M., Thomas, E.J., Franchois, K.E.: Defining and classifying medical error: lessons for patient safety reporting systems. Qual. Saf. Health Care 13, 13–20 (2004)CrossRefGoogle Scholar
  8. 8.
    Barton, A.: Patient safety and quality: an evidence-based handbook for nurses. AORN J. 90, 601–602 (2009)CrossRefGoogle Scholar
  9. 9.
    Battles, J.B., Kaplan, H., Van der Schaaf, T., Shea, C.: The attributes of medical event-reporting systems. Arch. Pathol. Lab. Med. 122, 132–138 (1998)Google Scholar
  10. 10.
    Clancy, C.M.: Common formats allow uniform collection and reporting of patient safety data by patient safety organizations. Am. J. Med. Qual. 25, 73–75 (2010)CrossRefGoogle Scholar
  11. 11.
    Raju, T.N.K., Suresh, G., Higgins, R.D.: Patient safety in the context of neonatal intensive care: research and educational opportunities. Pediatr. Res. 70, 109–115 (2011)CrossRefGoogle Scholar
  12. 12.
    Lucas, J., Bulbul, T., Anumba, C.J., Messner, J.: Evaluating the role of healthcare facility information on health information technology initiatives from a patient safety perspective. American Society of Civil Engineers, pp. 720–727 (2011)Google Scholar
  13. 13.
    Williams, T., Szekendi, M., Pavkovic, S., Clevenger, W., Cerese, J.: The reliability of AHRQ common format harm scales in rating patient safety events. J. Patient Saf. 11, 52–59 (2015)CrossRefGoogle Scholar
  14. 14.
    Nie, Y., Mao, X., Cui, H., He, S., Li, J., Zhang, M.: Hospital survey on patient safety culture in China. BMC Health Serv. Res. 13, 228 (2013)CrossRefGoogle Scholar
  15. 15.
    Liu, C., Liu, W., Wang, Y., Zhang, Z., Wang, P.: Patient safety culture in China: a case study in an outpatient setting in Beijing. BMJ Qual. Saf. 23, 556–564 (2014)CrossRefGoogle Scholar
  16. 16.
    Zhang, M.-L., Zhou, Z.-H.: ML-KNN: A lazy learning approach to multi-label learning. Pattern Recogn. 40, 2038–2048 (2007)CrossRefzbMATHGoogle Scholar
  17. 17.
    Saha, S., Beach, M.C., Cooper, L.A.: Patient centeredness, cultural competence and healthcare quality. J. Natl Med. Assoc. 100, 1275 (2008)CrossRefGoogle Scholar
  18. 18.
    MacDorman, M.F., Munson, M.L., Kirmeyer, S.: Fetal and perinatal mortality, United States, 2005. National Vital Statistics Reports, vol. 56 (2007)Google Scholar
  19. 19.
    Goldhaber, M.K.: Fetal death ratios in a prospective study compared to state fetal death certificate reporting. Am. J. Publ. Health 79, 1268–1270 (1989)CrossRefGoogle Scholar
  20. 20.
    Gaudino Jr., J.A., Blackmore-Prince, C., Yip, R., Rochat, R.W.: Quality assessment of fetal death records in Georgia: a method for improvement. Am. J. Publ. Health 87, 1323–1327 (1997)CrossRefGoogle Scholar
  21. 21.
    Martin, J.A., Hoyert, D.L.: The national fetal death file. Seminars in Perinatology, pp. 3–11 (2002)Google Scholar
  22. 22.
    Alexander, G.R.: The accurate measurement of gestational age–a critical step toward improving fetal death reporting and perinatal health. Am. J. Publ. Health 87, 1278 (1997)CrossRefGoogle Scholar
  23. 23.
    Greb, A.E., Pauli, R.M., Kirby, R.S.: Accuracy of fetal death reports: comparison with data from an independent stillbirth assessment program. Am. J. Publ. Health 77, 1202–1206 (1987)CrossRefGoogle Scholar
  24. 24.
    Singer, S.J., Gaba, D.M., Geppert, J.J., Sinaiko, A.D., Howard, S.K., Park, K.C.: The culture of safety: results of an organization-wide survey in 15 California hospitals. Qual. Saf. Health Care 12, 112–118 (2003)CrossRefGoogle Scholar
  25. 25.
    Runciman, B., Walton, M.: Safety and Ethics in Healthcare: A Guide to Getting It Right. Ashgate Publishing Ltd, Burlington (2007)Google Scholar
  26. 26.
    Runciman, W., Hibbert, P., Thomson, R., Van Der Schaaf, T., Sherman, H., Lewalle, P.: Towards an International classification for patient safety: key concepts and terms. Int. J. Qual. Health Care 21, 18–26 (2009)CrossRefGoogle Scholar
  27. 27.
    Liang, C., Gong, Y.: On building an ontological knowledge base for managing patient safety events. In: MEDINFO 2015: EHealth-Enabled Health: Proceedings of 15th World Congress on Health and Biomedical Informatics, p. 202 (2015)Google Scholar
  28. 28.
    Johnson, C.W.: How will we get the data and what will we do with it then? Issues in the reporting of adverse healthcare events. Qual. Saf. Health Care 12, ii64–ii67 (2003)CrossRefGoogle Scholar
  29. 29.
    Nieva, V.F., Sorra, J.: Safety culture assessment: a tool for improving patient safety in healthcare organizations. Qual. Saf. Health Care 12, ii17–ii23 (2003)CrossRefGoogle Scholar
  30. 30.
    Bagian, J.P., Lee, C., Gosbee, J., DeRosier, J., Stalhandske, E., Eldridge, N., Williams, R., Burkhardt, M.: Developing and deploying a patient safety program in a large health care delivery system: you can’t fix what you don’t know about. Jt. Comm. J. Qual. Patient Saf. 27, 522–532 (2001)Google Scholar
  31. 31.
    Farley, D.O., Haviland, A., Champagne, S., Jain, A.K., Battles, J.B., Munier, W.B., Loeb, J.M.: Adverse-event-reporting practices by US hospitals: results of a national survey. Qual. Saf. Health Care 17, 416–423 (2008)CrossRefGoogle Scholar
  32. 32.
    Nucklos, T.K.: Incident reporting: more attention to the safety action feedback loop, please (2011).
  33. 33.
    Wagner, B., Meirowitz, N., Shah, J., Nanda, D., Reggio, L., Cohen, P., Britt, K., Kaufman, L., Walia, R., Bacote, C., et al.: Comprehensive perinatal safety initiative to reduce adverse obstetric events. J. Healthcare Qual. 34, 6–15 (2012)CrossRefGoogle Scholar
  34. 34.
    McCartney, P.R.: Using technology to promote perinatal patient safety. J. Obstet. Gynecol. Neonatal. Nurs. 35, 424–431 (2006)CrossRefGoogle Scholar
  35. 35.
    Sousa, V.D., Rojjanasrirat, W.: Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline. J. Eval. Clin. Pract. 17, 268–274 (2011)CrossRefGoogle Scholar
  36. 36.
    Brislin, R.W.: Back-translation for cross-cultural research. J. Cross Cult. Psychol. 1, 185–216 (1970)CrossRefGoogle Scholar
  37. 37.
    Harkness, J.A., de Vijver, F.J.R., Mohler, P.P., Fur Umfragen, Z.: Cross-Cultural Survey Methods. Wiley, Hoboken (2003)Google Scholar
  38. 38.
    Guillemin, F., Bombardier, C., Beaton, D.: Cross-cultural adaptation of health-related quality of life measures: literature review and proposed guidelines. J. Clin. Epidemiol. 46, 1417–1432 (1993)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Weiying Shan
    • 1
  • Chen Liang
    • 2
  • Weichao Shan
    • 1
  • Na Yang
    • 1
  • Yang Gong
    • 2
    Email author
  1. 1.Chengde Medical CollegeChengdeChina
  2. 2.The University of Texas Health Science Center at HoustonHoustonUSA

Personalised recommendations