Literature DB >> 15696399

The registration of complications in surgery: a learning curve.

Eelco J Veen1, Maryska L G Janssen-Heijnen, Loek P H Leenen, Jan A Roukema.   

Abstract

Registration of complications in surgery is an important method used for quality improvement. Unfortunately many different definitions and classification systems have been used, which influences the interpretation and the outcome of complication registration. Since 1986 complications have been registered on a daily basis in our surgical department. We focus in this article on the influence of changes in interpretation of the definition and registration methods used on the incidence of registered complications. Between 1986 and 1993 complications registered were strictly related to surgical procedures. In the second period, between 1993 and 2001, the interpretation of the definition changed and all adverse events were registered in a patient-centred way, not only related to the surgical procedure. The definition used in both periods did not change. In 1993 we started with the implementation of a fully automated registration system in our surgical department. In the first period 1699 (7%) complications in 24,201 surgical procedures were registered and in the second period 8335 (27%) complications were registered in 31,161 surgical procedures. A dramatic increase in the total number of registered complications was seen with the implementation of a fully automated registration system and a patient-centred way of registering complications. In the context of the evolving discussion of quality of care, a uniform definition and registration system has to be used to assure reliable outcome data in surgery and to form a basis for comparison.

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Year:  2005        PMID: 15696399     DOI: 10.1007/s00268-004-7358-8

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  51 in total

1.  Defining and classifying clinical indicators for quality improvement.

Authors:  Jan Mainz
Journal:  Int J Qual Health Care       Date:  2003-12       Impact factor: 2.038

2.  Watching the doctor-watchers. How well do peer review organization methods detect hospital care quality problems?

Authors:  H R Rubin; W H Rogers; K L Kahn; L V Rubenstein; R H Brook
Journal:  JAMA       Date:  1992-05-06       Impact factor: 56.272

3.  The relationship between choice of outcome measure and hospital rank in general surgical procedures: implications for quality assessment.

Authors:  J H Silber; P R Rosenbaum; S V Williams; R N Ross; J S Schwartz
Journal:  Int J Qual Health Care       Date:  1997-06       Impact factor: 2.038

4.  Combined surgical audit by microcomputer involving units in four health regions.

Authors:  D C Dunn; J R Gumpert; R F Dale; T J Duffy
Journal:  Ann R Coll Surg Engl       Date:  1992-01       Impact factor: 1.891

5.  Quality of health care. Part 3: improving the quality of care.

Authors:  M R Chassin
Journal:  N Engl J Med       Date:  1996-10-03       Impact factor: 91.245

6.  A spurious correlation between hospital mortality and complication rates: the importance of severity adjustment.

Authors:  J H Silber; P R Rosenbaum
Journal:  Med Care       Date:  1997-10       Impact factor: 2.983

7.  Evaluating health care: what can hospital separation data tell us about the complications of hospital care?

Authors:  J I Westbrook; R L Rushworth; M I Rob
Journal:  J Qual Clin Pract       Date:  1994-09

Review 8.  Risk scoring in surgical patients.

Authors:  H J Jones; L de Cossart
Journal:  Br J Surg       Date:  1999-02       Impact factor: 6.939

Review 9.  The measurement and monitoring of surgical adverse events.

Authors:  J Bruce; E M Russell; J Mollison; Z H Krukowski
Journal:  Health Technol Assess       Date:  2001       Impact factor: 4.014

10.  The incidence and nature of surgical adverse events in Colorado and Utah in 1992.

Authors:  A A Gawande; E J Thomas; M J Zinner; T A Brennan
Journal:  Surgery       Date:  1999-07       Impact factor: 3.982

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  15 in total

1.  Variable impact of complications in general surgery: a prospective cohort study.

Authors:  Eelke Bosma; Eelco J Veen; Mariska A C de Jongh; Jan A Roukema
Journal:  Can J Surg       Date:  2012-06       Impact factor: 2.089

Review 2.  Categorisation of complications of endoscopic extraperitoneal and laparoscopic transperitoneal radical prostatectomy.

Authors:  Jens-Uwe Stolzenburg; Robert Rabenalt; Minh Do; Benjamin Lee; Michael C Truss; Hartwig Schwaibold; Martin Burchardt; Udo Jonas; Evangelos N Liatsikos
Journal:  World J Urol       Date:  2006-01-06       Impact factor: 4.226

3.  Adverse outcomes in surgical patients: implementation of a nationwide reporting system.

Authors:  P J Marang-van de Mheen; M C Stadlander; J Kievit
Journal:  Qual Saf Health Care       Date:  2006-10

4.  Intraoperative consultation as an instrument of quality management.

Authors:  Wolfgang Teichmann; Wilm Rost; Daniel Thieme; Sven Petersen
Journal:  World J Surg       Date:  2009-01       Impact factor: 3.352

5.  Questionnaire versus telephone follow-up to detect postdischarge complications in surgical patients: randomized clinical trial.

Authors:  Annelies Visser; Dirk T Ubbink; Dirk J Gouma; J Carel Goslings
Journal:  World J Surg       Date:  2012-11       Impact factor: 3.352

6.  Surgeons are overlooking post-discharge complications: a prospective cohort study.

Authors:  A Visser; D T Ubbink; D J Gouma; J C Goslings
Journal:  World J Surg       Date:  2014-05       Impact factor: 3.352

7.  Incidence and type of complications in non-operated patients at a surgical ward.

Authors:  Eelco J Veen; Maryska Lg Janssen-Heijnen; Mariska Ac de Jongh; Jan A Roukema
Journal:  Patient Saf Surg       Date:  2010-07-20

8.  Accuracy of administrative and clinical registry data in reporting postoperative complications after surgery for oral cavity squamous cell carcinoma.

Authors:  Mahmoud I Awad; Andrew G Shuman; Pablo H Montero; Frank L Palmer; Jatin P Shah; Snehal G Patel
Journal:  Head Neck       Date:  2014-06-27       Impact factor: 3.147

9.  Fatal surgical or procedure-related complications: a Finnish registry-based study.

Authors:  Tapio Hakala; Jaana Vironen; Sari Karlsson; Jarkko Pajarinen; Eero Hirvensalo; Hannu Paajanen
Journal:  World J Surg       Date:  2014-04       Impact factor: 3.352

10.  Error rates in a clinical data repository: lessons from the transition to electronic data transfer--a descriptive study.

Authors:  Matthew K H Hong; Henry H I Yao; John S Pedersen; Justin S Peters; Anthony J Costello; Declan G Murphy; Christopher M Hovens; Niall M Corcoran
Journal:  BMJ Open       Date:  2013-05-28       Impact factor: 2.692

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