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Creating a Tool to Assess Interpretive Services Perceptions at a Hospital System Level

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Abstract

The importance of using professional interpretive services (IS) when communicating with patients and families with limited English proficiency (LEP) is well described in the literature. There is no standardized tool to reliably evaluate IS from the point of view of bedside care providers. Collected local qualitative data and literature review informed an anonymous electronic survey that was distributed to physicians and nursing staff at a tertiary care children’s hospital. Authors then used exploratory factor analysis to analyze results. Survey response rate was 27%. Seven key factors were identified; the original survey was revised using the two most impactful questions contributing to each factor. Re-analysis showed Pearson correlation coefficients at or above 0.9. Using this simplified 14 question questionnaire, hospital systems can assess the knowledge, attitudes, self-reported utilization and perceived barriers around IS, allowing for targeted interventions to improve the care of LEP patients.

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Fig. 1

Abbreviations

IS:

Interpretive services

LEP:

Limited English proficiency

References

  1. Flores G, et al. Errors in medical interpretation and their potential clinical consequences in pediatric encounters. Pediatrics. 2003;111(1):6–14.

    Article  Google Scholar 

  2. Lion KC, et al. Association between language, serious adverse events, and length of stay among hospitalized children. Hosp Pediatr. 2013;3(3):219–25.

    Article  Google Scholar 

  3. Karliner LS, et al. Do professional interpreters improve clinical care for patients with limited English proficiency? A systematic review of the literature. Health Serv Res. 2007;42(2):727–54.

    Article  Google Scholar 

  4. Schenker Y, et al. Patterns of interpreter use for hospitalized patients with limited English proficiency. J Gen Intern Med. 2011;26(7):712–7.

    Article  Google Scholar 

  5. Lion K, et al. Patterns and predictors of professional interpretor use in the pediatric emergency department. Pediatrics. 2021;147(2):e20193312.

    Article  Google Scholar 

  6. Mayo R, et al. Cutting corners: Provider perceptions of interpretation services and factors related to use of an ad hoc interpreter. Hisp Health Care Int . 2016;14(2):73–80.

    Article  Google Scholar 

  7. Fox MT, et al. Moving from knowledge to action: Improving safety and quality of care for patients with limited English proficiency. Clin Pediatr. 2020;59(3):266–77.

    Article  Google Scholar 

  8. The SAS system for Windows [computer program]. SAS Institute; 2016.

  9. Costello AB, Osborne J. Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Pract Assess Res Eval. 2005;10(7):1–9.

    Google Scholar 

  10. Fabrigar LR, et al. Evaluating the use of exploratory factor analysis in psychological research. Psychol Methods. 1999;4(3):272–99.

    Article  Google Scholar 

  11. Floyd FJ, Widaman KF. Factor analysis in the development and refinement of clinical assessment instruments. Psychol Assess. 1995;7(3):286–99.

    Article  Google Scholar 

  12. Gorsuch RL. Factor analysis. 2nd ed. New York: Routledge; 2014.

    Book  Google Scholar 

  13. Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960;20(1):141–51.

    Article  Google Scholar 

  14. Guttman L. Some necessary conditions for common-factor analysis. Psychometrika. 1954;19(2):149–61.

    Article  Google Scholar 

  15. Cattell RB. The scree test for the number of factors. Multivar Behav Res. 1966;1(2):245–76.

    Article  CAS  Google Scholar 

  16. Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16(3):297–334.

    Article  Google Scholar 

  17. Dykema J, Jones NR, Piché T, Stevenson J. Surveying clinicians by web: Current issues in design and administration. Eval Health Prof. 2013;36(3):352–81.

    Article  Google Scholar 

  18. Corner B, Lemonde M. Research reflections: Survey techniques for nursing studies. Can Oncol Nurs J. 2019;29(1):58–60.

    PubMed  PubMed Central  Google Scholar 

Download references

Funding

The project was supported with funding from The Children’s Hospital Foundation. Dr. Sixia Chen and Ashley White are partially supported by National Institutes of Health, National Institute of General Medical Sciences [Grant 5U54GM104938-07, PI Judith James].

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Correspondence to Stephanie DeLeon.

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Soulages Arrese, N., Cooper, M.T., White, A. et al. Creating a Tool to Assess Interpretive Services Perceptions at a Hospital System Level. J Immigrant Minority Health 23, 1116–1120 (2021). https://doi.org/10.1007/s10903-021-01197-5

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  • DOI: https://doi.org/10.1007/s10903-021-01197-5

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