Evidence map›Paper›PMID 31766188›Full record

ArticleHealthcare (Basel, Switzerland)2019

Randomized Single-Case Experimental Designs in Healthcare Research: What, Why, and How?

René Tanious, Patrick Onghena

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Trial
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  16. N-of-1 Trials in Healthcare.Healthcare (Basel, Switzerland) · 2021
    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

2 authors.

René TaniousFaculty of Psychology and Educational Sciences, Methodology of Educational Sciences Research Group, KU Leuven-University of Leuven, 3000 Leuven, Belgium.
Patrick OnghenaFaculty of Psychology and Educational Sciences, Methodology of Educational Sciences Research Group, KU Leuven-University of Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-3986-8312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health problems are often idiosyncratic in nature and therefore require individualized diagnosis and treatment. In this paper, we show how single-case experimental designs (SCEDs) can meet the requirement to find and evaluate individually tailored treatments. We give a basic introduction to the methodology of SCEDs and provide an overview of the available design options. For each design, we show how an element of randomization can be incorporated to increase the internal and statistical conclusion validity and how the obtained data can be analyzed using visual tools, effect size measures, and randomization inference. We illustrate each design and data analysis technique using applied data sets from the healthcare literature.

Indexed as

effect sizesrandomization testssingle-case experimental designsvisual analysis

Identifiers

PMID31766188
PMCPMC6955662

What OpenQuestion holds

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LicenceCC BY
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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.