38
Views
0
CrossRef citations to date
0
Altmetric
RESEARCH REPORT

The Turkish minimum dataset for chronic low back pain research: a cross-cultural adaptation of the National Institutes of Health Task Force Research Standards

, PhD, PT, , PhD, PT, , MD &
Received 06 Nov 2023, Accepted 26 Mar 2024, Published online: 03 Apr 2024
 

ABSTRACT

Background

The US National Institutes of Health (NIH) has produced a minimal data set to promote more accurate and consistent reporting of clinical trials, facilitating easier comparison of research on low back pain patients worldwide. The NIH-minimal dataset has not been previously translated into Turkish, and its features are currently unknown. This study aimed to adapt the NIH-Minimal Data Set into Turkish and investigate its validity and reliability in Turkish-speaking patients with chronic low back pain (CLBP).

Methods

In the study, 245 patients with CLBP were included. Test-retest and internal consistency analyzes were performed to evaluate the reliability of the NIH-minimal dataset. The intraclass correlation coefficient (ICC2,1) value was used to assess test-retest analysis. Cronbach’s alpha value was calculated for internal consistency. Total impact scores of the NIH-minimal dataset were compared with total scores of the Roland Morris Disability Questionnaire (RMDQ) and Oswestry Disability Index (ODI) to assess construct validity. The minimal detectable change (MDC95) was calculated based on the standard error of measurement (SEM95).

Results

The NIH-Minimal Data Set was found to have high test-retest reliability (ICC2,1 = 0.928) and high internal consistency (Cronbach α = 0.905). The NIH-minimal dataset correlated well with RMDQ and ODI (r = 0.750 and 0.810, respectively). There were no floor or ceiling effects. Also, SEM95 and MDC95 for the total score were 4.57 and 12.55, respectively.

Conclusion

Considering all these data, it was concluded that the Turkish version of the NIH-minimal dataset is a valid and reliable outcome measure for evaluating patients with CLBP.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 325.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.