Evidence map›Paper›PMID 31481012›Full record

ArticleBMC geriatrics2019

Effects of age and cognitive function on data quality of standardized surveys in nursing home populations.

Patrick Kutschar, Martin Weichbold, Jürgen Osterbrink

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
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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

3 authors at 2 institutions in 1 country.

Patrick KutscharParacelsus Medical University, Institute of Nursing Science and Practice, Strubergasse 21, 5020, Salzburg, Austria. patrick.kutschar@pmu.ac.at.ORCID 0000-0002-2029-2552
Martin WeichboldDepartment of Sociology, Paris Lodron University Salzburg, Salzburg, Austria.
Jürgen OsterbrinkParacelsus Medical University, Institute of Nursing Science and Practice, Strubergasse 21, 5020, Salzburg, Austria.
Paracelsus Medical University · ATUniversity of Salzburg · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData quality is of special concern when it comes to survey research in nursing homes. Very little is known about specifics of cognitively impaired elderly in responding to survey questions. This study examines effects of cognitive impairment, age, gender, and interview duration on the data quality in a sample of 659 nursing home residents (NHR).

methodsWithin a cross-sectional design, survey methodology was used to evaluate the pain situation in 13 nursing homes. Residents were stratified into NHR with no/mild (Mini-Mental State Examination MMSE: 18-30) and NHR with moderate (MMSE: 10-17) cognitive impairment. Data quality is measured by item nonresponse (INR). Correlation analyses, ANCOVA, linear and logistic regression models are applied.

resultsNeither interview duration nor gender have effects on item nonresponse. Age accounts for higher INR (β = 0.12, p < 0.001). Cognitive impairment strongly predicts INR (β = - 0.40, p < 0.001). INR significantly differs between NHR with no/mild (3.98%) and moderate cognitive impairment (11.85%). The likelihood of INR > 5% for residents with moderate cognitive impairment is 3.8-times (p < 0.001) of that for those with no/mild impairment.

conclusionsSurveys are adequate for residents with no/mild cognitive impairment but data quality is threatened in residents with moderate impairments. Precision and validity of responses from NHR with progressed cognitive impairment are potentially limited and results may be biased. The results clearly do support the need for a multidisciplinary 'general theory' of the question-/answer-process which has to be also inclusive for cognitively impaired elderly persons.

Indexed as

Data AccuracyAgedAged, 80 and overAge FactorsCognitive DysfunctionCross-Sectional StudiesFemaleHumansMaleMental Status and Dementia TestsNursing HomesPainPain MeasurementSurveys and QuestionnairesCognitive impairmentData qualityItem nonresponseMeasurement errorNursing home

Identifiers

PMID31481012
PMCPMC6724313
OpenAlexW2971583177

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.