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Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population

BACKGROUND: The validity of survey-based health care utilization estimates in the older population has been poorly researched. Owing to data protection legislation and a great number of different health care insurance providers, the assessment of recall and non-response bias is challenging to imposs...

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Autores principales: Hunger, Matthias, Schwarzkopf, Larissa, Heier, Margit, Peters, Annette, Holle, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545728/
https://www.ncbi.nlm.nih.gov/pubmed/23286781
http://dx.doi.org/10.1186/1472-6963-13-1
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author Hunger, Matthias
Schwarzkopf, Larissa
Heier, Margit
Peters, Annette
Holle, Rolf
author_facet Hunger, Matthias
Schwarzkopf, Larissa
Heier, Margit
Peters, Annette
Holle, Rolf
author_sort Hunger, Matthias
collection PubMed
description BACKGROUND: The validity of survey-based health care utilization estimates in the older population has been poorly researched. Owing to data protection legislation and a great number of different health care insurance providers, the assessment of recall and non-response bias is challenging to impossible in many countries. The objective of our study was to compare estimates from a population-based study in older German adults with external secondary data. METHODS: We used data from the German KORA-Age study, which included 4,127 people aged 65–94 years. Self-report questions covered the utilization of long-term care services, inpatient services, outpatient services, and pharmaceuticals. We calculated age- and sex-standardized mean utilization rates in each domain and compared them with the corresponding estimates derived from official statistics and independent statutory health insurance data. RESULTS: The KORA-Age study underestimated the use of long-term care services (−52%), in-hospital days (−21%) and physician visits (−70%). In contrast, the assessment of drug consumption by postal self-report questionnaires yielded similar estimates to the analysis of insurance claims data (−9%). CONCLUSION: Survey estimates based on self-report tend to underestimate true health care utilization in the older population. Direct validation studies are needed to disentangle the impact of recall and non-response bias.
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spelling pubmed-35457282013-01-17 Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population Hunger, Matthias Schwarzkopf, Larissa Heier, Margit Peters, Annette Holle, Rolf BMC Health Serv Res Research Article BACKGROUND: The validity of survey-based health care utilization estimates in the older population has been poorly researched. Owing to data protection legislation and a great number of different health care insurance providers, the assessment of recall and non-response bias is challenging to impossible in many countries. The objective of our study was to compare estimates from a population-based study in older German adults with external secondary data. METHODS: We used data from the German KORA-Age study, which included 4,127 people aged 65–94 years. Self-report questions covered the utilization of long-term care services, inpatient services, outpatient services, and pharmaceuticals. We calculated age- and sex-standardized mean utilization rates in each domain and compared them with the corresponding estimates derived from official statistics and independent statutory health insurance data. RESULTS: The KORA-Age study underestimated the use of long-term care services (−52%), in-hospital days (−21%) and physician visits (−70%). In contrast, the assessment of drug consumption by postal self-report questionnaires yielded similar estimates to the analysis of insurance claims data (−9%). CONCLUSION: Survey estimates based on self-report tend to underestimate true health care utilization in the older population. Direct validation studies are needed to disentangle the impact of recall and non-response bias. BioMed Central 2013-01-03 /pmc/articles/PMC3545728/ /pubmed/23286781 http://dx.doi.org/10.1186/1472-6963-13-1 Text en Copyright ©2013 Hunger et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hunger, Matthias
Schwarzkopf, Larissa
Heier, Margit
Peters, Annette
Holle, Rolf
Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population
title Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population
title_full Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population
title_fullStr Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population
title_full_unstemmed Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population
title_short Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population
title_sort official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545728/
https://www.ncbi.nlm.nih.gov/pubmed/23286781
http://dx.doi.org/10.1186/1472-6963-13-1
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