Evidence map›Paper›PMID 36611592›Full record

ReviewHealthcare (Basel, Switzerland)2022

Reporting and Interpreting Effect Sizes in Applied Health-Related Settings: The Case of Spirituality and Substance Abuse.

Iván Sánchez-Iglesias, Jesús Saiz, Antonio J Molina, Tamara L Goldsby

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Review
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

4 authors.

Iván Sánchez-IglesiasDepartment of Psychobiology & Behavioral Sciences Methods, Complutense University of Madrid, 28223 Madrid, Spain.ORCID 0000-0002-6934-7905
Jesús SaizDepartment of Social, Work and Differential Psychology, Complutense University of Madrid, 28223 Madrid, Spain.ORCID 0000-0002-2029-673X
Antonio J MolinaDepartment of Social, Work and Differential Psychology, Complutense University of Madrid, 28223 Madrid, Spain.ORCID 0000-0002-1448-3301
Tamara L GoldsbyDepartment of Family Medicine and Public Health, University of California San Diego, San Diego, CA 92093, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inferential analysis using null hypothesis significance testing (NHST) allows accepting or rejecting a null hypothesis. Nevertheless, rejecting a null hypothesis and concluding there is a statistical effect does not provide a clue as to its practical relevance or magnitude. This process is key to assessing the effect size (ES) of significant results, be it using context (comparing the magnitude of the effect to similar studies or day-to-day effects) or statistical estimators, which also should be sufficiently interpreted. This is especially true in clinical settings, where decision-making affects patients' lives. We carried out a systematic review for the years 2015 to 2020 utilizing Scopus, PubMed, and various ProQuest databases, searching for empirical research articles with inferential results linking spirituality to substance abuse outcomes. Out of the 19 studies selected, 11 (57.9%) reported no ES index, and 9 (47.4%) reported no interpretation of the magnitude or relevance of their findings. The results of this review, although limited to the area of substance abuse and spiritual interventions, are a cautionary tale for other research topics. Gauging and interpreting effect sizes contributes to a better understanding of the subject under scrutiny in any discipline.

Indexed as

effect sizescientific writingspiritually-based treatmentsubstance abuse

Identifiers

PMID36611592
PMCPMC9818974

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.