Literature DB >> 29243213

Accuracy of co-morbidity data in patients undergoing abdominal wall hernia repair: a retrospective study.

S Hajibandeh3,4, S Hajibandeh3,4, R Deering3, D McEleney3, J Guirguis3, S Dix3, A Sreh3, E Toner3, A El Muntasar3, A Kausar3, G Sheikh3, D OShea3, A Shafiq3, A Kelly3, A Khan3, D Arumugam3, A Evans3.   

Abstract

OBJECTIVES: To determine the baseline accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of routinely collected co-morbidity data in patients undergoing abdominal wall hernia repair.
METHODS: All patients aged > 18 who underwent umbilical, para-umbilical, inguinal or incisional hernia repair between 1 January 2015 and 1 November 2016 were identified. All parts of the clinical notes were searched for co-morbidities by two authors independently. The following co-morbidities were considered: hypertension, ischaemic heart disease (IHD), diabetes, asthma, chronic obstructive pulmonary disease (COPD), cerebrovascular disease (CVD), chronic kidney disease (CKD), hypercholesterolemia, obesity and smoking. The co-morbidities data from clinical notes were compared with corresponding data in hospital episode statistics (HES) database to calculate accuracy, sensitivity, specificity, PPV and NPV of HES codes for co-morbidities. To assess the agreement between clinical notes and HES data, we also calculated Cohen's Kappa index value as a more robust measure of agreement.
RESULTS: Overall, 346 patients comprising 3460 co-morbidity codes were included in the study. The overall accuracy of HES codes for all co-morbidities was 77% (Kappa: 0.13). When calculated separately for each co-morbidity, the accuracy was 72% (Kappa: 0.113) for hypertension, 82% (Kappa: 0.232) for IHD, 85% (Kappa: 0.203) for diabetes, 86% (Kappa: 0.287) for asthma, 91% (Kappa: 0.339) for COPD, 92% (Kappa: 0.374) for CVD, 94% (Kappa: 0.424) for CKD, 74% (Kappa: 0.074) for hypercholesterolemia, 71% (Kappa: 0.66) for obesity and 24% (Kappa: 0.005) for smoking. The overall sensitivity, specificity, PPV and NPV of HES codes were 9, 100, 100, and 77%, respectively. The results were consistent when individual co-morbidities were analyzed separately.
CONCLUSIONS: Our results demonstrated that HES co-morbidity codes in patients undergoing abdominal wall hernia repair are specific with good positive predictive value; however, they have substandard accuracy, sensitivity, and negative predictive value. The presence of a relatively large number of false negative or missed cases in HES database explains our findings. Better documentation of co-morbidities in admission clerking proforma may help to improve the quality of source documents for coders, which in turn may improve the accuracy of coding.

Entities:  

Keywords:  Accuracy; Co-morbidity; Coding; Hernia; Hospital episode statistics

Mesh:

Year:  2017        PMID: 29243213     DOI: 10.1007/s10029-017-1713-9

Source DB:  PubMed          Journal:  Hernia        ISSN: 1248-9204            Impact factor:   4.739


  18 in total

1.  Do we do what they say we do? coding errors in urology.

Authors:  A Ballaro; S Oliver; M Emberton
Journal:  BJU Int       Date:  2000-03       Impact factor: 5.588

2.  The 'top 10' urological procedures: a study of hospital episodes statistics 1998-99.

Authors:  F Lee; H R H Patel; M Emberton
Journal:  BJU Int       Date:  2002-07       Impact factor: 5.588

3.  Improving the accuracy of HES comorbidity codes by better documentation in surgical admission proforma.

Authors:  Ahmad Navid; Shahin Hajibandeh; Jayarama Mohan; Shahab Hajibandeh
Journal:  Br J Hosp Med (Lond)       Date:  2015-12       Impact factor: 0.825

4.  The influence of comorbidity on the risks and benefits of spine surgery for degenerative lumbar disorders.

Authors:  A F Mannion; T F Fekete; F Porchet; D Haschtmann; D Jeszenszky; F S Kleinstück
Journal:  Eur Spine J       Date:  2014-01-24       Impact factor: 3.134

5.  Impact of comorbidity on survival after surgical resection in patients with stage I non-small cell lung cancer.

Authors:  Richard J Battafarano; Jay F Piccirillo; Bryan F Meyers; Han-Shui Hsu; Tracey J Guthrie; Joel D Cooper; G Alexander Patterson
Journal:  J Thorac Cardiovasc Surg       Date:  2002-02       Impact factor: 5.209

6.  Comorbidity as a predictor of stage of illness for patients with breast cancer.

Authors:  Steven T Fleming; Holly G Pursley; Beth Newman; Dmitri Pavlov; Kun Chen
Journal:  Med Care       Date:  2005-02       Impact factor: 2.983

7.  Nonclinical Factors Associated with 30-Day Mortality after Lung Cancer Resection: An Analysis of 215,000 Patients Using the National Cancer Data Base.

Authors:  John N Melvan; Manu S Sancheti; Theresa Gillespie; Dana C Nickleach; Yuan Liu; Kristin Higgins; Suresh Ramalingam; Joseph Lipscomb; Felix G Fernandez
Journal:  J Am Coll Surg       Date:  2015-04-16       Impact factor: 6.113

8.  Comorbidities and Risk of Complications After Surgery for Esophageal Cancer: A Nationwide Cohort Study in Sweden.

Authors:  Lovisa Backemar; Pernilla Lagergren; Therese Djärv; Asif Johar; Anna Wikman; Jesper Lagergren
Journal:  World J Surg       Date:  2015-09       Impact factor: 3.352

9.  Risk factors for postoperative complications after gastrectomy in gastric cancer patients with comorbidities.

Authors:  Takuya Hamakawa; Yukinori Kurokawa; Jota Mikami; Yasuhiro Miyazaki; Tsuyoshi Takahashi; Makoto Yamasaki; Hiroshi Miyata; Kiyokazu Nakajima; Shuji Takiguchi; Masaki Mori; Yuichiro Doki
Journal:  Surg Today       Date:  2015-04-25       Impact factor: 2.549

10.  Impact of comorbidity on outcome among acute non-traumatic surgical patients. Evaluation of Charlson comorbidity index.

Authors:  Muhammad Abdullah; Saleh M Al-Salamah
Journal:  Saudi Med J       Date:  2009-02       Impact factor: 1.484

View more
  3 in total

1.  [Ventral hernias part 1 : Operative treatment techniques].

Authors:  F Köckerling; W Reinpold; C Schug-Pass
Journal:  Chirurg       Date:  2021-04-01       Impact factor: 0.955

2.  Treatment of small (< 2 cm) umbilical hernias: guidelines and current trends from the Herniamed Registry.

Authors:  F Köckerling; W Brunner; R Fortelny; F Mayer; D Adolf; H Niebuhr; R Lorenz; W Reinpold; K Zarras; D Weyhe
Journal:  Hernia       Date:  2020-11-25       Impact factor: 4.739

3.  Assessment of potential influencing factors on the outcome in small (< 2 cm) umbilical hernia repair: a registry-based multivariable analysis of 31,965 patients.

Authors:  F Köckerling; W Brunner; F Mayer; R Fortelny; D Adolf; H Niebuhr; R Lorenz; W Reinpold; K Zarras; D Weyhe
Journal:  Hernia       Date:  2020-09-20       Impact factor: 4.739

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.