IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0251892.html
   My bibliography  Save this article

Reliability, validity and discriminability of patient reported outcomes for non-specific low back pain in a nationwide physical therapy registry: A retrospective observational cohort study

Author

Listed:
  • Guus A Meerhoff
  • Arie C Verburg
  • Renske M Schapendonk
  • Juliette Cruijsberg
  • Maria W G Nijhuis-van der Sanden
  • Simone A van Dulmen
  • Philip J Van der Wees

Abstract

Background: A national clinical registry was established in the Netherlands containing data directly sampled from electronic health record systems of physical therapists (PTs). This registry aims to evaluate the potential of patient reported outcome measures (PROMs) to develop quality indicators (QIs) in physical therapy care. Purpose: To test to what extent the collected PROM data are reliable, valid and discriminatory between practices in measuring outcomes of patients with non-specific low back pain (NSLBP). Methods: In this retrospective cohort study 865 PT practices with 6,560 PTs voluntarily collected PROM data of patients with NSLBP, using the Quebec Back Pain Disability Scale (QBPDS), the Numeric Pain Rating Scale (NPRS) and the Patient Specific Functioning Scale (PSFS). Reliability was determined by analysing the completeness of the dataset, the comparability by using national reference data, and through checking selection bias in the included patients. Validity was tested using the known-groups contrast between patients with (sub)acute vs. chronic NSLBP. To determine discriminative ability of outcomes between PT practices, case-mix corrected hierarchical multilevel analyses were performed. Results: Reliability was sufficient by confirming fifteen of the sixteen hypotheses: 59% of all patients opted in for data analysis, 42% of these included patients showed repeated measurement, comparing with reference data and potential selection bias showed

Suggested Citation

  • Guus A Meerhoff & Arie C Verburg & Renske M Schapendonk & Juliette Cruijsberg & Maria W G Nijhuis-van der Sanden & Simone A van Dulmen & Philip J Van der Wees, 2021. "Reliability, validity and discriminability of patient reported outcomes for non-specific low back pain in a nationwide physical therapy registry: A retrospective observational cohort study," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-16, June.
    • Handle: RePEc:plo:pone00:0251892
    DOI: 10.1371/journal.pone.0251892
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0251892
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0251892&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0251892?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cora J. M. Maas & Joop J. Hox, 2004. "Robustness issues in multilevel regression analysis," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 127-137, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. D. Gunzler & W. Tang & N. Lu & P. Wu & X. Tu, 2014. "A Class of Distribution-Free Models for Longitudinal Mediation Analysis," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 543-568, October.
    2. Arpino, Bruno & Varriale, Roberta, 2009. "Assessing the quality of institutions’ rankings obtained through multilevel linear regression models," MPRA Paper 19873, University Library of Munich, Germany.
    3. Francesco Aiello & Graziella Bonanno & Stefania P. S. Rossi, 2020. "How firms finance innovation. Further empirics from European SMEs," Metroeconomica, Wiley Blackwell, vol. 71(4), pages 689-714, November.
    4. McMahon, James M. & Pouget, Enrique R. & Tortu, Stephanie, 2006. "A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXED," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3663-3680, August.
    5. Maciej Jakubowski, 2007. "Efektywność wydatków na gimnazja," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 11-12, pages 85-113.
    6. Mikami, Satoru & Furukawa, Mitsuaki, 2014. "An Empirical Study of the Conditions for Successful Knowledge Transfer in Training Programs," Working Papers 85, JICA Research Institute.
    7. Sun-Joo Cho & Sarah Brown-Schmidt & Woo-yeol Lee, 2018. "Autoregressive Generalized Linear Mixed Effect Models with Crossed Random Effects: An Application to Intensive Binary Time Series Eye-Tracking Data," Psychometrika, Springer;The Psychometric Society, vol. 83(3), pages 751-771, September.
    8. JaeYoul Shin, 2018. "Relative Deprivation, Satisfying Rationality, and Support for Redistribution," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(1), pages 35-56, November.
    9. Ferraccioli, Federico & Sangalli, Laura M. & Finos, Livio, 2022. "Some first inferential tools for spatial regression with differential regularization," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    10. Francesco Aiello & Graziella Bonanno, 2018. "Multilevel empirics for small banks in local markets," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1017-1037, November.
    11. Stephanie Potochnick, 2014. "The Academic Adaptation of Children of Immigrants in New and Established Settlement States: The Role of Family, Schools, and Neighborhoods," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(3), pages 335-364, June.
    12. Sabz Ali & Said Ali Shah & Seema Zubair & Sundas Hussain, 2021. "A comparative study of estimators in multilevel linear models," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-10, November.
    13. Sabrina Berens & Joachim Funke, 2020. "A vignette study of option refusal and decision deferral as two forms of decision avoidance: Situational and personal predictors," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-25, October.
    14. Haans, A.J. & Gijsbrechts, E., 2011. "One-deal-fits-all? : On category sales promotion effectiveness in smaller versus larger supermarkets," Other publications TiSEM 2c1a69db-bdfa-4988-a84c-4, Tilburg University, School of Economics and Management.
    15. Legrain, Alexander & Buliung, Ron & El-Geneidy, Ahmed M., 2016. "Travelling fair: Targeting equitable transit by understanding job location, sectorial concentration, and transit use among low-wage workers," Journal of Transport Geography, Elsevier, vol. 53(C), pages 1-11.
    16. Oh, Joo-seok & Kim, Sei-yong, 2017. "Enhancing urban agriculture through participants’ satisfaction: The case of Seoul, Korea," Land Use Policy, Elsevier, vol. 69(C), pages 123-133.
    17. Coralie Gandré & Jeanne Gervaix & Julien Thillard & Jean-Marc Macé & Jean-Luc Roelandt & Karine Chevreul, 2017. "The Development of Psychiatric Services Providing an Alternative to Full-Time Hospitalization Is Associated with Shorter Length of Stay in French Public Psychiatry," IJERPH, MDPI, vol. 14(3), pages 1-16, March.
    18. Wang, Gang & Holmes, R. Michael & Devine, Richard A. & Bishoff, John, 2018. "CEO gender differences in careers and the moderating role of country culture: A meta-analytic investigation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 148(C), pages 30-53.
    19. Haans, Hans & Gijsbrechts, Els, 2011. "“One-deal-fits-all?” On Category Sales Promotion Effectiveness in Smaller versus Larger Supermarkets," Journal of Retailing, Elsevier, vol. 87(4), pages 427-443.
    20. Günther, Isabel & Harttgen, Kenneth, 2009. "Estimating Households Vulnerability to Idiosyncratic and Covariate Shocks: A Novel Method Applied in Madagascar," World Development, Elsevier, vol. 37(7), pages 1222-1234, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0251892. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.