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Agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders
BACKGROUND: Data on resource use are frequently required for healthcare assessments. Studies on healthcare utilization (HCU) in individuals with mental disorders have analyzed both self-reports and administrative data. Source of data may affect the quality of analysis and compromise the accuracy of...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640759/ https://www.ncbi.nlm.nih.gov/pubmed/37951906 http://dx.doi.org/10.1186/s12913-023-10175-6 |
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author | Garcia, Tarcyane Barata Kliemt, Roman Claus, Franziska Neumann, Anne Soltmann, Bettina Baum, Fabian Schwarz, Julian Swart, Enno Schmitt, Jochen Pfennig, Andrea Häckl, Dennis Weinhold, Ines |
author_facet | Garcia, Tarcyane Barata Kliemt, Roman Claus, Franziska Neumann, Anne Soltmann, Bettina Baum, Fabian Schwarz, Julian Swart, Enno Schmitt, Jochen Pfennig, Andrea Häckl, Dennis Weinhold, Ines |
author_sort | Garcia, Tarcyane Barata |
collection | PubMed |
description | BACKGROUND: Data on resource use are frequently required for healthcare assessments. Studies on healthcare utilization (HCU) in individuals with mental disorders have analyzed both self-reports and administrative data. Source of data may affect the quality of analysis and compromise the accuracy of results. We sought to ascertain the degree of agreement between self-reports and statutory health insurance (SHI) fund claims data from patients with mental disorders. METHODS: Claims data from six German SHI and self-reports were obtained along with a cost-effectiveness analysis performed as a part of a controlled prospective multicenter cohort study conducted in 18 psychiatric hospitals in Germany (PsychCare), including patients with pre-defined psychiatric disorders. Self-reports were collected using the German adaption of the Client Sociodemographic and Service Receipt Inventory (CSSRI) questionnaire with a 6-month recall period. Data linkage was performed using a unique pseudonymized identifier. Missing responses were coded as non-use for all analyses. HCU was calculated for inpatient and outpatient care, day-care services, home treatment, and pharmaceuticals. Concordance was measured using Cohen’s Kappa (κ) and intraclass correlation coefficient (ICC). Regression approaches were used to investigate the effect of independent variables on the agreements. RESULTS: In total 274 participants (mean age 47.8 [SD = 14.2] years; 47.08% women) were included in the analysis. No significant differences were observed between the linked and unlinked patients in terms of baseline characteristics. Total agreements values were 63.9% (κ = 0.03; PABAK = 0.28) for outpatient contacts, 69.3% (κ = 0.25; PABAK = 0.39) for medication use, 81.0% (κ = 0.56; PABAK = 0.62) for inpatient days and 86.1% (κ = 0.67; PABAK = 0.72) for day-care services. There was varied quantitative agreement between data sources, with the poorest agreement for outpatient care (ICC [95% CI] = 0.22 [0.10–0.33]) and the best for psychiatric day-care services (ICC [95% CI] = 0.72 [0.66–0.78]). Marital status and time since first treatment positively affected the chance of agreement on utilization of outpatient services. CONCLUSIONS: Although there were high levels of absolute agreement, the measures of concordance between administrative records and self-reports were generally minimal to moderate. Healthcare investigations should consider using linked or at least different data sources to estimate HCU for specific utilization areas, where unbiased information can be expected. TRIAL REGISTRATION: This study was part of the multi-center controlled PsychCare trial (German Clinical Trials Register No. DRKS00022535; Date of registration: 2020–10-02). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10175-6. |
format | Online Article Text |
id | pubmed-10640759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106407592023-11-11 Agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders Garcia, Tarcyane Barata Kliemt, Roman Claus, Franziska Neumann, Anne Soltmann, Bettina Baum, Fabian Schwarz, Julian Swart, Enno Schmitt, Jochen Pfennig, Andrea Häckl, Dennis Weinhold, Ines BMC Health Serv Res Research BACKGROUND: Data on resource use are frequently required for healthcare assessments. Studies on healthcare utilization (HCU) in individuals with mental disorders have analyzed both self-reports and administrative data. Source of data may affect the quality of analysis and compromise the accuracy of results. We sought to ascertain the degree of agreement between self-reports and statutory health insurance (SHI) fund claims data from patients with mental disorders. METHODS: Claims data from six German SHI and self-reports were obtained along with a cost-effectiveness analysis performed as a part of a controlled prospective multicenter cohort study conducted in 18 psychiatric hospitals in Germany (PsychCare), including patients with pre-defined psychiatric disorders. Self-reports were collected using the German adaption of the Client Sociodemographic and Service Receipt Inventory (CSSRI) questionnaire with a 6-month recall period. Data linkage was performed using a unique pseudonymized identifier. Missing responses were coded as non-use for all analyses. HCU was calculated for inpatient and outpatient care, day-care services, home treatment, and pharmaceuticals. Concordance was measured using Cohen’s Kappa (κ) and intraclass correlation coefficient (ICC). Regression approaches were used to investigate the effect of independent variables on the agreements. RESULTS: In total 274 participants (mean age 47.8 [SD = 14.2] years; 47.08% women) were included in the analysis. No significant differences were observed between the linked and unlinked patients in terms of baseline characteristics. Total agreements values were 63.9% (κ = 0.03; PABAK = 0.28) for outpatient contacts, 69.3% (κ = 0.25; PABAK = 0.39) for medication use, 81.0% (κ = 0.56; PABAK = 0.62) for inpatient days and 86.1% (κ = 0.67; PABAK = 0.72) for day-care services. There was varied quantitative agreement between data sources, with the poorest agreement for outpatient care (ICC [95% CI] = 0.22 [0.10–0.33]) and the best for psychiatric day-care services (ICC [95% CI] = 0.72 [0.66–0.78]). Marital status and time since first treatment positively affected the chance of agreement on utilization of outpatient services. CONCLUSIONS: Although there were high levels of absolute agreement, the measures of concordance between administrative records and self-reports were generally minimal to moderate. Healthcare investigations should consider using linked or at least different data sources to estimate HCU for specific utilization areas, where unbiased information can be expected. TRIAL REGISTRATION: This study was part of the multi-center controlled PsychCare trial (German Clinical Trials Register No. DRKS00022535; Date of registration: 2020–10-02). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10175-6. BioMed Central 2023-11-11 /pmc/articles/PMC10640759/ /pubmed/37951906 http://dx.doi.org/10.1186/s12913-023-10175-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Garcia, Tarcyane Barata Kliemt, Roman Claus, Franziska Neumann, Anne Soltmann, Bettina Baum, Fabian Schwarz, Julian Swart, Enno Schmitt, Jochen Pfennig, Andrea Häckl, Dennis Weinhold, Ines Agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders |
title | Agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders |
title_full | Agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders |
title_fullStr | Agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders |
title_full_unstemmed | Agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders |
title_short | Agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders |
title_sort | agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640759/ https://www.ncbi.nlm.nih.gov/pubmed/37951906 http://dx.doi.org/10.1186/s12913-023-10175-6 |
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