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Data Completeness and Concordance in the FeverApp Registry: Comparative Study

BACKGROUND: The FeverApp registry uses ecological momentary assessment (EMA) to collect parental data on pediatric fever for scientific research. The mobile app FeverApp educates parents on safe fever management and serves as a fever diary. OBJECTIVE: The focus of this study was to evaluate the comp...

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Autores principales: Rathjens, Larisa, Fingerhut, Ingo, Martin, David, Hamideh Kerdar, Sara, Gwiasda, Moritz, Schwarz, Silke, Jenetzky, Ekkehart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669892/
https://www.ncbi.nlm.nih.gov/pubmed/36322119
http://dx.doi.org/10.2196/35510
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author Rathjens, Larisa
Fingerhut, Ingo
Martin, David
Hamideh Kerdar, Sara
Gwiasda, Moritz
Schwarz, Silke
Jenetzky, Ekkehart
author_facet Rathjens, Larisa
Fingerhut, Ingo
Martin, David
Hamideh Kerdar, Sara
Gwiasda, Moritz
Schwarz, Silke
Jenetzky, Ekkehart
author_sort Rathjens, Larisa
collection PubMed
description BACKGROUND: The FeverApp registry uses ecological momentary assessment (EMA) to collect parental data on pediatric fever for scientific research. The mobile app FeverApp educates parents on safe fever management and serves as a fever diary. OBJECTIVE: The focus of this study was to evaluate the completeness and concordance of the EMA-based FeverApp registry with regard to its data quality from a multilevel perspective. METHODS: Structured descriptions of fever episodes by health care professionals from an office were used as reference. The number of children, their sociodemographic data, and agreement of fever episodes, with maximum temperature, intake of antipyretics and antibiotics, and physician visits, were compared with the entries in the corresponding physician’s reference records. The data quality indicators for completeness, meaning the extent to which the necessary data for the registry has actually been submitted, and concordance, which is the correspondence of the value of a data element with a reference source, were chosen to analyze whether EMA may be a suitable method for this kind of registry. RESULTS: In both data sources, 1012 children were available for comparison over 16 months. The completeness of gender (1012/1012, 100%) and date of birth (1004/1012, 99.2%) information was high, and the mismatches were 0.69% (7/1012) and 1.19% (12/1012), respectively, between the sources. Of these 1012 children, 668 (66%) registered fever episodes in FeverApp. They relate to 534 families with 953 fever episodes in the reference records and 1452 episodes in the FeverApp registry. Of the 534 families, 183 (34.3%) refrained from visiting the office during fever episodes but nevertheless documented them in FeverApp. Largest part (766/1452, 52.75%) episodes were recorded exclusively in the FeverApp registry by 371 (371/534, 69.5%) families. The remaining 686 (47.2%) episodes of 391 (58.5%) children from 351 (65.7%) families were comparable with the reference data source in terms of physician visits, medication, and temperature. The completeness ranged, depending on the kind of variable, from 11.5% to 65% in the registry and from 7.6% to 42.6% in the office. The 953 fever episodes reported by the reference office consisted of 681 (71.5%) acute and 272 (28.5%) past episodes. In FeverApp, most past (262/272, 96.3%) but less acute (424/681, 62.3%) episodes have been entered. The concordance rates were varied: 90.2% for antibiotic use, 66.6% for antipyretic use, 61.7% for physician visits, and 16% for the highest temperature during the fever episode. CONCLUSIONS: Both sources delivered only partial data, and the rates of completeness and concordance depended on the kind of variable. However, the FeverApp registry showed higher documentation and precision rates than professional records for all considered variables. Therefore, EMA may play a unique supplement for research in ambulatory care. FeverApp could support pediatric offices, especially during the pandemic.
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spelling pubmed-96698922022-11-18 Data Completeness and Concordance in the FeverApp Registry: Comparative Study Rathjens, Larisa Fingerhut, Ingo Martin, David Hamideh Kerdar, Sara Gwiasda, Moritz Schwarz, Silke Jenetzky, Ekkehart JMIR Pediatr Parent Original Paper BACKGROUND: The FeverApp registry uses ecological momentary assessment (EMA) to collect parental data on pediatric fever for scientific research. The mobile app FeverApp educates parents on safe fever management and serves as a fever diary. OBJECTIVE: The focus of this study was to evaluate the completeness and concordance of the EMA-based FeverApp registry with regard to its data quality from a multilevel perspective. METHODS: Structured descriptions of fever episodes by health care professionals from an office were used as reference. The number of children, their sociodemographic data, and agreement of fever episodes, with maximum temperature, intake of antipyretics and antibiotics, and physician visits, were compared with the entries in the corresponding physician’s reference records. The data quality indicators for completeness, meaning the extent to which the necessary data for the registry has actually been submitted, and concordance, which is the correspondence of the value of a data element with a reference source, were chosen to analyze whether EMA may be a suitable method for this kind of registry. RESULTS: In both data sources, 1012 children were available for comparison over 16 months. The completeness of gender (1012/1012, 100%) and date of birth (1004/1012, 99.2%) information was high, and the mismatches were 0.69% (7/1012) and 1.19% (12/1012), respectively, between the sources. Of these 1012 children, 668 (66%) registered fever episodes in FeverApp. They relate to 534 families with 953 fever episodes in the reference records and 1452 episodes in the FeverApp registry. Of the 534 families, 183 (34.3%) refrained from visiting the office during fever episodes but nevertheless documented them in FeverApp. Largest part (766/1452, 52.75%) episodes were recorded exclusively in the FeverApp registry by 371 (371/534, 69.5%) families. The remaining 686 (47.2%) episodes of 391 (58.5%) children from 351 (65.7%) families were comparable with the reference data source in terms of physician visits, medication, and temperature. The completeness ranged, depending on the kind of variable, from 11.5% to 65% in the registry and from 7.6% to 42.6% in the office. The 953 fever episodes reported by the reference office consisted of 681 (71.5%) acute and 272 (28.5%) past episodes. In FeverApp, most past (262/272, 96.3%) but less acute (424/681, 62.3%) episodes have been entered. The concordance rates were varied: 90.2% for antibiotic use, 66.6% for antipyretic use, 61.7% for physician visits, and 16% for the highest temperature during the fever episode. CONCLUSIONS: Both sources delivered only partial data, and the rates of completeness and concordance depended on the kind of variable. However, the FeverApp registry showed higher documentation and precision rates than professional records for all considered variables. Therefore, EMA may play a unique supplement for research in ambulatory care. FeverApp could support pediatric offices, especially during the pandemic. JMIR Publications 2022-11-02 /pmc/articles/PMC9669892/ /pubmed/36322119 http://dx.doi.org/10.2196/35510 Text en ©Larisa Rathjens, Ingo Fingerhut, David Martin, Sara Hamideh Kerdar, Moritz Gwiasda, Silke Schwarz, Ekkehart Jenetzky. Originally published in JMIR Pediatrics and Parenting (https://pediatrics.jmir.org), 02.11.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Pediatrics and Parenting, is properly cited. The complete bibliographic information, a link to the original publication on https://pediatrics.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Rathjens, Larisa
Fingerhut, Ingo
Martin, David
Hamideh Kerdar, Sara
Gwiasda, Moritz
Schwarz, Silke
Jenetzky, Ekkehart
Data Completeness and Concordance in the FeverApp Registry: Comparative Study
title Data Completeness and Concordance in the FeverApp Registry: Comparative Study
title_full Data Completeness and Concordance in the FeverApp Registry: Comparative Study
title_fullStr Data Completeness and Concordance in the FeverApp Registry: Comparative Study
title_full_unstemmed Data Completeness and Concordance in the FeverApp Registry: Comparative Study
title_short Data Completeness and Concordance in the FeverApp Registry: Comparative Study
title_sort data completeness and concordance in the feverapp registry: comparative study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669892/
https://www.ncbi.nlm.nih.gov/pubmed/36322119
http://dx.doi.org/10.2196/35510
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