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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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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. |
format | Online Article Text |
id | pubmed-3545728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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