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

<p>Abstract</p> <p>Background</p> <p>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 o...

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Main Authors: Hunger Matthias (Author), Schwarzkopf Larissa (Author), Heier Margit (Author), Peters Annette (Author), Holle Rolf (Author)
Format: Book
Published: BMC, 2013-01-01T00:00:00Z.
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Summary:<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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%).</p> <p>Conclusion</p> <p>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.</p>
Item Description:10.1186/1472-6963-13-1
1472-6963