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Including nursing home residents in a general population health survey in Germany
[journal article]
Abstract Nursing home residents (NHRs) are systematically excluded from the target populations of most population-based health surveys, which may
result in biased prevalence estimates. Researchers who wish to include NHRs in surveys face several challenges including difficulty sampling and
contacting NHRs ... view more
Nursing home residents (NHRs) are systematically excluded from the target populations of most population-based health surveys, which may
result in biased prevalence estimates. Researchers who wish to include NHRs in surveys face several challenges including difficulty sampling and
contacting NHRs and greater levels of functional impairments impeding participation.
A population-wide, register-based, random sample of 8,000 older individuals (57.1% women, mean age=76.2 years) in six primary sampling units
(PSUs) in Germany was used to analyse NHR coverage. The contact and response rates among NHRs were compared to those among persons
living in private households in two PSUs (N=2,000) by applying an informed sequential mixed-mode design. All persons received a health
questionnaire by mail, and random subgroups of initial non-respondents were further contacted by telephone or personal visits.
The population-wide, register-based, random sample included a substantial proportion of NHRs that nearly approximated the national rate of 4.2%
NHRs among individuals ≥65 years. Never-theless, undercoverage of a specific subgroup of NHRs was apparent. The contact and re-sponse
rates were significantly lower among NHRs than persons in private households (contact: 49.0% vs. 72.9%; response: 20.0% vs. 45.9%).
Therefore, it remains questionable if NHRs can be included in regular national health monitoring programmes.... view less
Keywords
population statistics; sample; demographic factors; interview; Federal Republic of Germany; health status; reliability; elderly; response behavior; survey research; estimation; data capture; social factors; nursing home
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
coverage; hard-to-reach; nursing home residents; register-based sampling design; sequential mixed-mode design
Document language
English
Publication Year
2019
Page/Pages
p. 1-9
Journal
Survey Methods: Insights from the Field (2019)
ISSN
2296-4754
Status
Published Version; peer reviewed