Literature DB >> 34989877

Accuracy and agreement of national spine register data for 474 patients compared to corresponding electronic patient records.

Ole Kristian Alhaug1,2,3, Simran Kaur4, Filip Dolatowski4, Milada Cvancarova Småstuen5, Tore K Solberg6,7, Greger Lønne8,9.   

Abstract

PURPOSE: Data quality is essential for all types of research, including health registers. However, data quality is rarely reported. We aimed to assess the accuracy of data in a national spine register (NORspine) and its agreement with corresponding data in electronic patient records (EPR).
METHODS: We compared data in NORspine registry against data in (EPR) for 474 patients operated for spinal stenosis in 2015 and 2016 at four public hospitals, using EPR as the gold standard. We assessed accuracy using the proportion correctly classified (PCC) and sensitivity. Agreement was quantified using Kappa statistics or interaclass correlation coefficient (ICC).
RESULTS: The mean age (SD) was 66 (11) years, and 54% were females. Compared to EPR, surgeon-reported perioperative complications displayed weak agreement (kappa (95% CI) = 0.51 (0.33-0.69)), PCC of 96%, and a sensitivity (95% CI) of 40% (23-58%). ASA classification had a moderate agreement (kappa (95%CI) = 0.73 (0.66-0.80)). Comorbidities were underreported in NORspine. Perioperative details had strong to excellent agreements (kappa (95% CI) ranging from 0.76 ( 0.68-0.84) to 0.98 (0.95-1.00)), PCCs between 93% and 99% and sensitivities (95% CI) between 92% (0.84-1.00%) and 99% (0.98-1.00%). Patient-reported variables (height, weight, smoking) had excellent agreements (kappa (95% CI) between 0.93 (0.89-0.97) and 0.99 (0.98-0.99)).
CONCLUSION: Compared to electronic patient records, NORspine displayed weak agreement for perioperative complications, moderate agreement for ASA classification, strong agreement for perioperative details, and excellent agreement for height, weight, and smoking. NORspine underreported perioperative complications and comorbidities when compared to EPRs. Patient-recorded data were more accurate and should be preferred when available.
© 2022. The Author(s).

Entities:  

Keywords:  Accuracy; Agreement; Lumbar spinal stenosis; Registry; Validation

Mesh:

Year:  2022        PMID: 34989877     DOI: 10.1007/s00586-021-07093-8

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  18 in total

1.  Identification of surgical complications and deaths: an assessment of the traditional surgical morbidity and mortality conference compared with the American College of Surgeons-National Surgical Quality Improvement Program.

Authors:  Matthew M Hutter; Katherine S Rowell; Lynn A Devaney; Suzanne M Sokal; Andrew L Warshaw; William M Abbott; Richard A Hodin
Journal:  J Am Coll Surg       Date:  2006-09-27       Impact factor: 6.113

2.  Completeness and accuracy of data in spine registries: an independent audit-based study.

Authors:  Bernhard Meyer; Ehab Shiban; Lucia E Albers; Sandro M Krieg
Journal:  Eur Spine J       Date:  2020-03-04       Impact factor: 3.134

3.  Differences in urologist and patient assessments of health related quality of life in men with prostate cancer: results of the CaPSURE database.

Authors:  M S Litwin; D P Lubeck; J M Henning; P R Carroll
Journal:  J Urol       Date:  1998-06       Impact factor: 7.450

Review 4.  Data Quality in Rare Diseases Registries.

Authors:  Yllka Kodra; Manuel Posada de la Paz; Alessio Coi; Michele Santoro; Fabrizio Bianchi; Faisal Ahmed; Yaffa R Rubinstein; Jérôme Weinbach; Domenica Taruscio
Journal:  Adv Exp Med Biol       Date:  2017       Impact factor: 2.622

5.  Complications in surgical patients.

Authors:  Mark A Healey; Steven R Shackford; Turner M Osler; Frederick B Rogers; Elizabeth Burns
Journal:  Arch Surg       Date:  2002-05

6.  Reporting of sentinel events in Swedish hospitals: a comparison of severe adverse events reported by patients and providers.

Authors:  Annica Ohrn; Johan Elfström; Christer Liedgren; Hans Rutberg
Journal:  Jt Comm J Qual Patient Saf       Date:  2011-11

7.  Complications following colonoscopy with anesthesia assistance: a population-based analysis.

Authors:  Gregory S Cooper; Tzuyung D Kou; Douglas K Rex
Journal:  JAMA Intern Med       Date:  2013-04-08       Impact factor: 21.873

8.  Comparison of the validity of stroke diagnoses in a medical quality register and an administrative health register.

Authors:  Torunn Varmdal; Inger Johanne Bakken; Imre Janszky; Torgeir Wethal; Hanne Ellekjær; Gitta Rohweder; Hild Fjærtoft; Marta Ebbing; Kaare Harald Bønaa
Journal:  Scand J Public Health       Date:  2015-12-11       Impact factor: 3.021

9.  Validation of data quality in the National Swedish Kidney Cancer Register.

Authors:  Anna Landberg; Daniel Bruce; Per Lindblad; Börje Ljungberg; Sven Lundstam; Andreas Thorstenson; Pernilla Sundqvist
Journal:  Scand J Urol       Date:  2021-02-18       Impact factor: 1.612

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