Evidence map›Paper›PMID 26787444›Full record

ArticleBMC geriatrics2016

Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?

Beate Gaertner, Ina Seitz, Judith Fuchs, Markus A Busch, Martin Holzhausen, Peter Martus, Christa Scheidt-Nave

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Comparison of Recruitment Strategies for Engaging Older Minority Adults: Results From Take Heart.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
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  13. "Geriatrics (Basel, Switzerland) · 2024
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  18. Review
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  20. Local problem solving in the Portuguese health examination survey: a mixed method study.Archives of public health = Archives belges de sante publique · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Beate GaertnerDepartment of Epidemiology and Health Monitoring, Robert-Koch-Institute, General-Pape-Str. 62-66, D-12101, Berlin, Germany. gaertnerb@rki.de.
Ina SeitzDepartment of Epidemiology and Health Monitoring, Robert-Koch-Institute, General-Pape-Str. 62-66, D-12101, Berlin, Germany.
Judith FuchsDepartment of Epidemiology and Health Monitoring, Robert-Koch-Institute, General-Pape-Str. 62-66, D-12101, Berlin, Germany.
Markus A BuschDepartment of Epidemiology and Health Monitoring, Robert-Koch-Institute, General-Pape-Str. 62-66, D-12101, Berlin, Germany.
Martin HolzhausenInstitute of Biometry and Clinical Epidemiology, Charité - University Medicine Berlin, Hindenburgdamm 30, D-12203, Berlin, Germany.
Peter MartusDepartment of Clinicial Epidemiology and Applied Biometry, Eberhard Karls Universität, Silcherstr. 5, D-72076, Tübingen, Germany.
Christa Scheidt-NaveDepartment of Epidemiology and Health Monitoring, Robert-Koch-Institute, General-Pape-Str. 62-66, D-12101, Berlin, Germany.
Robert Koch Institute · DECharité - Universitätsmedizin Berlin · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublic health monitoring depends on valid health and disability estimates in the population 65+ years. This is hampered by high non-participation rates in this age group. There is limited insight into size and direction of potential baseline selection bias.

methodsWe analyzed baseline non-participation in a register-based random sample of 1481 inner-city residents 65+ years, invited to a health examination survey according to demographics available for the entire sample, self-report information as available and reasons for non-participation. One year after recruitment, non-responders were revisited to assess their reasons.

resultsFive groups defined by participation status were differentiated: participants (N = 299), persons who had died or moved (N = 173), those who declined participation, but answered a short questionnaire (N = 384), those who declined participation and the short questionnaire (N = 324), and non-responders (N = 301). The results confirm substantial baseline selection bias with significant underrepresentation of persons 85+ years, persons in residential care or from disadvantaged neighborhoods, with lower education, foreign citizenship, or lower health-related quality of life. Finally, reasons for non-participation could be identified for 78% of all non-participants, including 183 non-responders.

conclusionA diversity in health problems and barriers to participation exists among non-participants. Innovative study designs are needed for public health monitoring in aging populations.

Indexed as

Quality of LifeAgedAged, 80 and overCommunication BarriersFemaleGermanyHealth SurveysHumansMalePatient ParticipationPatient SelectionPublic HealthRefusal to ParticipateSelf ReportSurveys and Questionnaires

Identifiers

PMID26787444
PMCPMC4719664
OpenAlexW2287856147

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.