Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-28T10:12:50.741Z Has data issue: false hasContentIssue false
  • English
  • Français

Impact of developing a multidisciplinary coded dataset standard on administrative data accuracy for septoplasty, septorhinoplasty and nasal trauma surgery

Published online by Cambridge University Press:  02 February 2017

S A R Nouraei ,
A Hudovsky ,
J S Virk  and
H A Saleh
S A R Nouraei*
Affiliation:
Department of ENT Surgery, Auckland City Hospital, Auckland, New Zealand
A Hudovsky
Affiliation:
Clinical Coding, Charing Cross Hospital, London, UK
J S Virk
Affiliation:
Department of ENT Surgery, Barts Health NHS Trust, London, UK
H A Saleh
Affiliation:
Department of ENT Surgery, Auckland City Hospital, Auckland, New Zealand
*
Address for correspondence: Mr S A R Nouraei, Department of ENT Surgery, Charing Cross Hospital, London W6 8RF, UK E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Objective:

This study aimed to develop a multidisciplinary coded dataset standard for nasal surgery and to assess its impact on data accuracy.

Method:

An audit of 528 patients undergoing septal and/or inferior turbinate surgery, rhinoplasty and/or septorhinoplasty, and nasal fracture surgery was undertaken.

Results:

A total of 200 septoplasties, 109 septorhinoplasties, 57 complex septorhinoplasties and 116 nasal fractures were analysed. There were 76 (14.4 per cent) changes to the primary diagnosis. Septorhinoplasties were the most commonly amended procedures. The overall audit-related income change for nasal surgery was £8.78 per patient. Use of a multidisciplinary coded dataset standard revealed that nasal diagnoses were under-coded; a significant proportion of patients received more precise diagnoses following the audit. There was also significant under-coding of both morbidities and revision surgery.

Conclusion:

The multidisciplinary coded dataset standard approach can improve the accuracy of both data capture and information flow, and, thus, ultimately create a more reliable dataset for use outcomes and health planning.

Keywords

Nasal ObstructionRhinoplastyClinical CodingOutcome Assessment (Health Care)
Type
Main Articles
Information
The Journal of Laryngology & Otology , Volume 131 , Issue 4 , April 2017 , pp. 341 - 346
Copyright
Copyright © JLO (1984) Limited 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1 Jones, NS, Smith, PA, Carney, AS, Davis, A. The prevalence of allergic rhinitis and nasal symptoms in Nottingham. Clin Otolaryngol 1998;23:547–54CrossRefGoogle ScholarPubMed
2 Montnémery, P, Svensson, C, Adelroth, E, Löfdahl, CG, Andersson, M, Greiff, L et al. Prevalence of nasal symptoms and their relation to self-reported asthma and chronic bronchitis/emphysema. Eur Resp J 2001;17:596–603 Google Scholar
3 Huang, TW, Cheng, PW. Changes in nasal resistance and quality of life after endoscopic microdebrider-assisted inferior turbinoplasty in patients with perennial allergic rhinitis. Arch Otolaryngol Head Neck Surg 2006;132:990–3CrossRefGoogle ScholarPubMed
4 Udaka, T, Suzuki, H, Fujimura, T, Hiraki, N, Ohkubo, J, Shiomori, T et al. Chronic nasal obstruction causes daytime sleepiness and decreased quality of life even in the absence of snoring. Am J Rhinol 2007;21:564–9CrossRefGoogle ScholarPubMed
5 Hospital Episode Statistics. NHS Digital. In: http://www.hscic.gov.uk/hes [15 June 2015]Google Scholar
6 Nouraei, SAR, Hudovsky, A, Virk, JS, Chatrath, P, Sandhu, GS. An audit of the nature and impact of clinical coding subjectivity variability and error in otolaryngology. Clin Otolaryngol 2013;38:512–24Google Scholar
7 Nouraei, SAR, Virk, JS, Hudovsky, A, Wathen, C, Darzi, A, Parsons, D. Accuracy of clinician-clinical coder information handover following acute medical admissions: implication for using administrative datasets in clinical outcomes management. J Public Health (Oxf) 2016;38:352–62Google Scholar
8 Nouraei, SAR, O'Hanlon, S, Butler, CR, Hadovsky, A, Donald, E, Benjamin, E et al. A multidisciplinary audit of clinical coding accuracy in otolaryngology: financial, managerial and clinical governance considerations under payment-by-results. Clin Otolaryngol 2009;34:43–51 Google Scholar
9 Guidance. Payment by results in the NHS: a simple guide. Department of Health, UK Government, 2013. In: https://www.gov.uk/government/publications/simple-guide-to-payment-by-results [15 June 2015]Google Scholar
10 News. NHS England and the Health and Social Care Information Centre launch a consultation on hospital data to raise standards and improve patient safety. NHS England, 2013. In: https://www.england.nhs.uk/2013/07/22/consultation-hosp-data [15 June 2015]Google Scholar