Evidence map›Paper›PMID 33691717›Full record

ArticleHealth and quality of life outcomes2021

Exploratory factor analysis of PROMIS-29 V1.0, PROMIS Global Health and the RAND SF-36 from chiropractic responders attending care in a practice-based research network.

Joel Alcantara, Andrew Whetten, Cameron Zabriskie, Sharad Jones

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Health and quality of life outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Measurement properties and interpretability of the PROMIS item banks in stroke patients: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Pooled it
  2. Article
  3. Review
  4. Converting PROMISHealth and quality of life outcomes · 2024
    Article
  5. Article
  6. 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

4 authors at 3 institutions in 3 countries.

Joel AlcantaraInternational Chiropractic Pediatric Association, 327 N Middletown Rd, Media, PA, 19063, USA. dr_jalcantara@yahoo.com.ORCID http://orcid.org/0000-0002-2032-8375
Andrew WhettenDepartment of Mathematical Sciences, University of Wisconsin-Milwaukee, 3200 N Cramer St, Milwaukee, WI, 53211, USA.
Cameron ZabriskieDepartment of Mathematics and Statistics, Utah State University, 3900 Old Main Hill, Logan, UT, 84322, USA.
Sharad JonesDepartment of Mathematics and Statistics, Utah State University, 3900 Old Main Hill, Logan, UT, 84322, USA.
Utah State University · USCanadian Chiropractic Association · CAUniversity of Wisconsin–Milwaukee · US

Funding

This study was funded by The International Chiropractic Pediatric Association 018-ICPA-2015
6 · The paper itself

Abstract

backgroundThe SF-36 questionnaire is perhaps the most widely used quality of life instrument in the world today, while the PROMIS instruments continue to gain popularity. Given their continued use in chiropractic research and practice, we examined their latent domain structure using exploratory factor analysis (EFA).

methodsTo uncover latent structures of a large series of measured variables from the PROMIS-29, PROMIS Global Health and RAND SF-36 domains, we defined a factor analysis model represented by the equation [Formula: see text], where [Formula: see text] is the matrix of random vectors corresponding to the domains with a mean of [Formula: see text] and the covariance matrix [Formula: see text] [Formula: see text] denotes the matrix of factor loadings, [Formula: see text] denotes the matrix of unobserved latent variables that influence the collection of domains and [Formula: see text] is the vector of latent error terms. The matrix of item responses X was the only observed quantity with restrictions such that variable scores were uncorrelated and of unit variance with the latent errors being independent with the variance vector [Formula: see text]. The inherited structure of X was expressed simply by [Formula: see text]. Orthogonal and oblique rotations were performed on the [Formula: see text] matrix with this equation to improve clarity of the latent structure. Model parameters [Formula: see text] were optimized using the method of minimum residuals. Each EFA model was constructed with Pearson and Polychoric correlation.

resultsFor the PROMIS-29, domains were confirmed to be strongly correlated with Factor 1 (i.e., mental health) or Factor 2 (i.e., physical health). Satisfaction with participation in social roles was highly correlated with a 3rd factor (i.e., social health). For the PROMIS Global Health Scale, a 2-factor EFA confirmed the GPH and GMH domains. For the RAND SF-36, an apparent lack of definable structure was observed except for physical function which had a high correlational relationship with Factor 2. The remaining domains lacked correlation with any factors.

conclusionDistinct separation in the latent factors between presumed physical, mental and social health domains were found with the PROMIS instruments but relatively indistinguishable domains in the RAND SF-36. We encourage continued efforts in this area of research to improving patient reported outcomes.

Indexed as

Attitude of Health PersonnelPatient Reported Outcome MeasuresAdultChiropracticFactor Analysis, StatisticalFemaleHumansMaleQuality of LifeChiropracticEFAPROMISRAND SF-36

Identifiers

PMID33691717
PMCPMC7945374
OpenAlexW3135505713

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.