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      Inter-rater reliability of a national acute stroke register

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          Abstract

          Background

          Medical quality registers are useful sources of knowledge about diseases and the health services. However, there are challenges in obtaining valid and reliable data. This study aims to assess the reliability in a national medical quality register.

          Methods

          We randomly selected 111 patients having had a stroke in 2012. An experienced stroke nurse completed the Norwegian Stroke Register paper forms for all 111 patients by review of the medical records. We then extracted all registered data on the same patients from the Norwegian Stroke Register and calculated Cohen’s kappa and Gwet’s AC 1 with 95 % confidence intervals for 51 nominal variables and Cohen’s quadratic weighted kappa and Gwet’s AC 2 for three ordinal variables. For two time variables, we calculated the Intraclass Correlation Coefficient.

          Results

          Substantial to excellent reliability (kappa > 0.60/AC 1 > 0.80) was observed for most variables related to past medical history, functional status, stroke subtype and discharge destination. Although excellent reliability was observed for time of stroke onset (ICC 0.93), this variable was hampered with a substantial amount of missing values. Some variables related to treatment and examinations in hospital displayed low levels of agreement. This applies to heart rate monitoring (kappa 0.17/AC 1 0.46), swallowing test performed (kappa 0.19/AC 1 0.27) and mobilized out of bed within 24 h after admission (kappa 0.04/AC 1 −0.11).

          Conclusion

          A majority of the variables in The Norwegian Stroke Register have substantial to excellent reliability. The problem areas seem to be the lack of completeness in the time variable indicating stroke onset and poor reliability in some variables concerning examinations and treatment received in hospital.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13104-015-1556-3) contains supplementary material, which is available to authorized users.

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          Most cited references9

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          Registration of acute stroke: validity in the Danish Stroke Registry and the Danish National Registry of Patients

          Background The validity of the registration of patients in stroke-specific registries has seldom been investigated, nor compared with administrative hospital discharge registries. The objective of this study was to examine the validity of the registration of patients in a stroke-specific registry (The Danish Stroke Registry [DSR]) and a hospital discharge registry (The Danish National Patient Registry [DNRP]). Methods Assuming that all patients with stroke were registered in either the DSR, DNRP or both, we first identified a sample of 75 patients registered with stroke in 2009; 25 patients in the DSR, 25 patients in the DNRP, and 25 patients registered in both data sources. Using the medical record as a gold standard, we then estimated the sensitivity and positive predictive value of a stroke diagnosis in the DSR and the DNRP. Secondly, we reviewed 160 medical records for all potential stroke patients discharged from four major neurologic wards within a 7-day period in 2010, and estimated the sensitivity, specificity, positive predictive value, and negative predictive value of the DSR and the DNRP. Results Using the first approach, we found a sensitivity of 97% (worst/best case scenario 92%–99%) in the DSR and 79% (worst/best case scenario 73%–84%) in the DNRP. The positive predictive value was 90% (worst/best case scenario 72%–98%) in the DSR and 79% (worst/best case scenario 62%–88%) in the DNRP. Using the second approach, we found a sensitivity of 91% (95% confidence interval [CI] 81%–96%) and 58% (95% CI 46%–69%) in the DSR and DNRP, respectively. The negative predictive value was 91% (95% CI 83%–96%) in the DSR and 72% (95% CI 62%–80%) in the DNRP. The specificity and positive predictive value did not differ among the registries. Conclusion Our data suggest a higher sensitivity in the DSR than the DNRP for acute stroke diagnoses, whereas the positive predictive value was comparable in the two data sources.
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            A goodness-of-fit approach to inference procedures for the kappa statistic: confidence interval construction, significance-testing and sample size estimation.

            We propose a new procedure for constructing a confidence interval about the kappa statistic in the case of two raters and a dichotomous outcome. The procedure is based on a chi-square goodness-of-fit test as applied to a model frequently used for clustered binary data. The procedure provides coverage levels that are accurate in samples of smaller size than those required for other procedures. The procedure also has use for significance-testing and the planning of corresponding sample size requirements.
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              Acute stroke: delays to presentation and emergency department evaluation.

              To document prehospital and inhospital time intervals from stroke onset to emergency department evaluation and to identify factors associated with presentation to the ED within 3 hours of symptom onset, the current time window for thrombolytic therapy. Patients admitted through the ED with a diagnosis of stroke were identified through admitting logs. Time intervals were obtained from EMS runsheets and ED records. Information regarding first medical contact, education, and income was obtained by patient interview. Baseline variables were analyzed to assess association with ED arrival within 3 hours of symptom onset; variables significant on univariate analysis were placed in a multivariable model. There were 151 stroke patients (59% white and 41% black). Time of stroke onset and time to ED arrival were documented for 119 patients (79%). The median time from stroke onset to ED arrival was 5.7 hours; 46 patients (30%) presenting within 3 hours. Of those with times recorded, the median time from stroke onset to EMS arrival was 1.7 hours. Multivariable logistic regression identified use of EMS (odds ratio [OR], 4.0; 95% confidence interval [CI], 1.3 to 12.1) and white race (OR, 3.5; 95% CI, 1.3 to 10) as being independently associated with ED arrival within 3 hours of symptom onset. Median time from ED arrival to physician evaluation was 20 minutes. Median time from ED arrival to computed tomographic evaluation was 72 minutes. When patients were asked the main reason they sought medical attention, 40% (60/141) of those able to be interviewed said that they themselves did not decide to seek medical attention, but rather a friend or family member told them they should go to the hospital. The median time from stroke onset to ED evaluation was 5.7 hours, with almost a third of patients presenting within 3 hours. Use of EMS and white race were independently associated with arrival within 3 hours.
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                Author and article information

                Contributors
                torunn.varmdal@ntnu.no
                hanne.ellekjer@stolav.no
                hild.fjertoft@stolav.no
                bent.indredavik@ntnu.no
                stian.lydersen@ntnu.no
                kaare.harald.bonaa@ntnu.no
                Journal
                BMC Res Notes
                BMC Res Notes
                BMC Research Notes
                BioMed Central (London )
                1756-0500
                19 October 2015
                19 October 2015
                2015
                : 8
                : 584
                Affiliations
                [ ]Department of Public Health and General Practice, Norwegian University of Science and Technology, Postbox 8905, 7401 Trondheim, Norway
                [ ]Stroke Unit, St. Olav’s University Hospital, Trondheim, Norway
                [ ]Department of Medical Quality Registries, St. Olav’s University Hospital, Trondheim, Norway
                [ ]Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
                [ ]Clinic for Heart Disease, St. Olav’s University Hospital, Trondheim, Norway
                [ ]Department of Community Medicine, UiT The Arctic University of Norway, Tromsö, Norway
                [ ]Regional Centre for Child and Youth Mental Health and Child Welfare  Central Norway, Norwegian University of Science and Technology, Trondheim, Norway
                Article
                1556
                10.1186/s13104-015-1556-3
                4617717
                26483044
                4019bfba-3699-491e-b8f3-da04adda2f3a
                © Varmdal et al. 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 17 March 2015
                : 5 October 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Medicine
                inter-rater reliability,quality registers,data quality
                Medicine
                inter-rater reliability, quality registers, data quality

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