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Validity of Algorithm for Classification of In- and Outpatient Hospital Contacts in the Danish National Patient Registry
PURPOSE: Following the implementation of the 3rd version of the Danish National Patient Register (DNPR-3), information on whether hospitalizations were inpatient, outpatient, or emergency room (ER) contacts was no longer readily available. This study examined the positive predictive values (PPV) of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9766480/ https://www.ncbi.nlm.nih.gov/pubmed/36561349 http://dx.doi.org/10.2147/CLEP.S380023 |
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author | Skjøth, Flemming Nielsen, Henrik Bodilsen, Jacob |
author_facet | Skjøth, Flemming Nielsen, Henrik Bodilsen, Jacob |
author_sort | Skjøth, Flemming |
collection | PubMed |
description | PURPOSE: Following the implementation of the 3rd version of the Danish National Patient Register (DNPR-3), information on whether hospitalizations were inpatient, outpatient, or emergency room (ER) contacts was no longer readily available. This study examined the positive predictive values (PPV) of a common algorithm to characterize hospitalizations as inpatient, outpatient, or emergency room (ER) contacts in both DNPR-2 and DNPR-3. PATIENTS AND METHODS: All hospital contacts in North Denmark Region were identified in the DNPR within a 1-year window of the implementation of DNPR-3 in early 2019. An algorithm based upon proportion of overnight (±50%) and elective (±50%) contacts for each hospital department was developed. Next, PPVs of these categorizations were computed using manual characterization of all departments and clinics by two experienced clinicians as reference. Second, the reliability of various time intervals to join department contacts and subsequent categorization of overnight hospital stays as proxies for inpatient contacts was explored. RESULTS: The algorithm yielded PPVs of 91% and 89% for hospital units and related contacts categorized as inpatient in DNPR-2 and 100% for both parameters in DNPR-3. In outpatient units, the PPVs were 99% in both DNPR-2 and DNPR-3, whereas the corresponding PPVs were 99.6% and 99% on the contact level. In contrast, the PPV for ERs was 33% in DNPR-2 and 56% in DNPR-3, primarily due to misclassification of outpatient clinics. Still, the proportion of correctly categorized ER contacts was 87% in DNPR-2 and 85% in DNPR-3. Using time intervals from 0 to 12 hours to join department contacts showed that overnight hospitalizations comprised inpatient contacts in 97% in DNPR-2 and 98% in DNPR-3. However, the sensitivity was moderate at 76–78% for all inpatient hospitalizations in DNPR-2 and DNPR-3. CONCLUSION: This algorithm accurately categorized hospitalizations as inpatient, outpatient, or ER contacts in both DNPR-2 and DNPR-3. |
format | Online Article Text |
id | pubmed-9766480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-97664802022-12-21 Validity of Algorithm for Classification of In- and Outpatient Hospital Contacts in the Danish National Patient Registry Skjøth, Flemming Nielsen, Henrik Bodilsen, Jacob Clin Epidemiol Original Research PURPOSE: Following the implementation of the 3rd version of the Danish National Patient Register (DNPR-3), information on whether hospitalizations were inpatient, outpatient, or emergency room (ER) contacts was no longer readily available. This study examined the positive predictive values (PPV) of a common algorithm to characterize hospitalizations as inpatient, outpatient, or emergency room (ER) contacts in both DNPR-2 and DNPR-3. PATIENTS AND METHODS: All hospital contacts in North Denmark Region were identified in the DNPR within a 1-year window of the implementation of DNPR-3 in early 2019. An algorithm based upon proportion of overnight (±50%) and elective (±50%) contacts for each hospital department was developed. Next, PPVs of these categorizations were computed using manual characterization of all departments and clinics by two experienced clinicians as reference. Second, the reliability of various time intervals to join department contacts and subsequent categorization of overnight hospital stays as proxies for inpatient contacts was explored. RESULTS: The algorithm yielded PPVs of 91% and 89% for hospital units and related contacts categorized as inpatient in DNPR-2 and 100% for both parameters in DNPR-3. In outpatient units, the PPVs were 99% in both DNPR-2 and DNPR-3, whereas the corresponding PPVs were 99.6% and 99% on the contact level. In contrast, the PPV for ERs was 33% in DNPR-2 and 56% in DNPR-3, primarily due to misclassification of outpatient clinics. Still, the proportion of correctly categorized ER contacts was 87% in DNPR-2 and 85% in DNPR-3. Using time intervals from 0 to 12 hours to join department contacts showed that overnight hospitalizations comprised inpatient contacts in 97% in DNPR-2 and 98% in DNPR-3. However, the sensitivity was moderate at 76–78% for all inpatient hospitalizations in DNPR-2 and DNPR-3. CONCLUSION: This algorithm accurately categorized hospitalizations as inpatient, outpatient, or ER contacts in both DNPR-2 and DNPR-3. Dove 2022-12-16 /pmc/articles/PMC9766480/ /pubmed/36561349 http://dx.doi.org/10.2147/CLEP.S380023 Text en © 2022 Skjøth et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Skjøth, Flemming Nielsen, Henrik Bodilsen, Jacob Validity of Algorithm for Classification of In- and Outpatient Hospital Contacts in the Danish National Patient Registry |
title | Validity of Algorithm for Classification of In- and Outpatient Hospital Contacts in the Danish National Patient Registry |
title_full | Validity of Algorithm for Classification of In- and Outpatient Hospital Contacts in the Danish National Patient Registry |
title_fullStr | Validity of Algorithm for Classification of In- and Outpatient Hospital Contacts in the Danish National Patient Registry |
title_full_unstemmed | Validity of Algorithm for Classification of In- and Outpatient Hospital Contacts in the Danish National Patient Registry |
title_short | Validity of Algorithm for Classification of In- and Outpatient Hospital Contacts in the Danish National Patient Registry |
title_sort | validity of algorithm for classification of in- and outpatient hospital contacts in the danish national patient registry |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9766480/ https://www.ncbi.nlm.nih.gov/pubmed/36561349 http://dx.doi.org/10.2147/CLEP.S380023 |
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