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A Quality Improvement Project to Reduce Rapid Response System Inequities for Patients with Limited English Proficiency at a Quaternary Academic Medical Center

  • Original Research: Qualitative Research
  • Published:
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Abstract

Background

Recognition of clinically deteriorating hospitalized patients with activation of rapid response (RR) systems can prevent patient harm. Patients with limited English proficiency (LEP), however, experience less benefit from RR systems than do their English-speaking counterparts.

Objective

To improve outcomes among hospitalized LEP patients experiencing clinical deteriorations.

Design

Quasi-experimental pre-post design using quality improvement (QI) statistics.

Participants

All adult hospitalized non-intensive care patients with LEP who were admitted to a large academic medical center from May 2021 through March 2023 and experienced RR system activation were included in the evaluation. All patients included after May 2022 were exposed to the intervention.

Interventions

Implementation of a modified RR system for LEP patients in May 2022 that included electronic dashboard monitoring of early warning scores (EWSs) based on electronic medical record data; RR nurse initiation of consults or full RR system activation; and systematic engagement of interpreters.

Main Measures

Process of care measures included monthly rates of RR system activation, critical response nurse consultations, and disease severity scores prior to activation. Main outcomes included average post-RR system activation length of stay, escalation of care, and in-hospital mortality. Analyses used QI statistics to identify special cause variation in pre-post control charts based on monthly data aggregates.

Key Results

In total, 222 patients experienced at least one RR system activation during the study period. We saw no special cause variation for process measures, or for length of hospitalization or escalation of care. There was, however, special cause variation in mortality rates with an overall pre-post decrease in average monthly mortality from 7.42% (n = 8/107) to 6.09% (n = 7/115).

Conclusions

In this pilot study, prioritized tracking, utilization of EWS-triggered evaluations, and interpreter integration into the RR system for LEP patients were feasible to implement and showed promise for reducing post-RR system activation mortality.

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Data Availability

The data supporting the findings of this study are available upon request from the authors.

References

  1. Rashoka FN, Kelley MS, Choi JK, Garcia MA, Chai W, Rashawka HN. "Many people have no idea": a qualitative analysis of healthcare barriers among Yazidi refugees in the Midwestern United States. Int J Equity Health. 2022;21(1):48. https://doi.org/10.1186/s12939-022-01654-z

    Article  PubMed  PubMed Central  Google Scholar 

  2. Lee JS, Pérez-Stable EJ, Gregorich SE, et al. Increased Access to Professional Interpreters in the Hospital Improves Informed Consent for Patients with Limited English Proficiency. J Gen Intern Med. 2017;32(8):863-870. https://doi.org/10.1007/s11606-017-3983-4

    Article  PubMed  PubMed Central  Google Scholar 

  3. Morris MD, Popper ST, Rodwell TC, Brodine SK, Brouwer KC. Healthcare barriers of refugees post-resettlement. J Community Health. 2009;34(6):529-38. https://doi.org/10.1007/s10900-009-9175-3

    Article  PubMed  PubMed Central  Google Scholar 

  4. Divi C, Koss RG, Schmaltz SP, Loeb JM. Language proficiency and adverse events in US hospitals: a pilot study. Int J Qual Health Care. 2007;19(2):60-7. https://doi.org/10.1093/intqhc/mzl069

    Article  PubMed  Google Scholar 

  5. Hines AL, Andrews RM, Moy E, Barrett ML, Coffey RM. Disparities in rates of inpatient mortality and adverse events: race/ethnicity and language as independent contributors. Int J Environ Res Public Health. 2014;11(12):13017-34. https://doi.org/10.3390/ijerph111213017

    Article  PubMed  PubMed Central  Google Scholar 

  6. John-Baptiste A, Naglie G, Tomlinson G, et al. The effect of English language proficiency on length of stay and in-hospital mortality. J Gen Intern Med. 2004;19(3):221-8. https://doi.org/10.1111/j.1525-1497.2004.21205.x

    Article  PubMed  PubMed Central  Google Scholar 

  7. Khan A, Yin HS, Brach C, et al. Association Between Parent Comfort With English and Adverse Events Among Hospitalized Children. JAMA Pediatr. 2020;174(12):e203215. https://doi.org/10.1001/jamapediatrics.2020.3215

    Article  PubMed  PubMed Central  Google Scholar 

  8. McDade JE, Olszewski AE, Qu P, et al. Association Between Language Use and ICU Transfer and Serious Adverse Events in Hospitalized Pediatric Patients Who Experience Rapid Response Activation. Front Pediatr. 2022;10:872060. https://doi.org/10.3389/fped.2022.872060

    Article  PubMed  PubMed Central  Google Scholar 

  9. Raff L, Moore C, Raff E. The role of language barriers on efficacy of rapid response teams. Hosp Pract (1995). 2023;51(1):29-34. https://doi.org/10.1080/21548331.2022.2150416

    Article  PubMed  Google Scholar 

  10. van Rosse F, de Bruijne M, Suurmond J, Essink-Bot ML, Wagner C. Language barriers and patient safety risks in hospital care. A mixed methods study. Int J Nurs Stud. 2016;54:45-53. https://doi.org/10.1016/j.ijnurstu.2015.03.012

    Article  PubMed  Google Scholar 

  11. Benda NC, Fairbanks RJ, Higginbotham DJ, Lin L, Bisantz AM. Observational study to understand interpreter service use in emergency medicine: why the key may lie outside of the initial provider assessment. Emerg Med J. 2019;36(10):582-588. https://doi.org/10.1136/emermed-2019-208420

    Article  PubMed  Google Scholar 

  12. López L, Rodriguez F, Huerta D, Soukup J, Hicks L. Use of interpreters by physicians for hospitalized limited English proficient patients and its impact on patient outcomes. J Gen Intern Med. 2015;30(6):783-9. https://doi.org/10.1007/s11606-015-3213-x

    Article  PubMed  PubMed Central  Google Scholar 

  13. Blay N, Ioannou S, Seremetkoska M, et al. Healthcare interpreter utilisation: analysis of health administrative data. BMC Health Serv Res. 2018;18(1):348. https://doi.org/10.1186/s12913-018-3135-5

    Article  PubMed  PubMed Central  Google Scholar 

  14. Lundin C, Hadziabdic E, Hjelm K. Language interpretation conditions and boundaries in multilingual and multicultural emergency healthcare. BMC Int Health Hum Rights. 2018;18(1):23. https://doi.org/10.1186/s12914-018-0157-3

    Article  PubMed  PubMed Central  Google Scholar 

  15. Medicaid CfMa. 87 FR 47824: Nondiscrimination in Health Programs and Activities. Office for Civil Rights, Office of the Secretary, Health and Human Services. Accessed 28 June 2023, https://www.federalregister.gov/documents/2022/08/04/2022-16217/nondiscrimination-in-health-programs-and-activities

  16. Bayer-Oglesby L, Zumbrunn A, Bachmann N, Team S. Social inequalities, length of hospital stay for chronic conditions and the mediating role of comorbidity and discharge destination: A multilevel analysis of hospital administrative data linked to the population census in Switzerland. PLoS One. 2022;17(8):e0272265. https://doi.org/10.1371/journal.pone.0272265

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Cohen AL, Rivara F, Marcuse EK, McPhillips H, Davis R. Are language barriers associated with serious medical events in hospitalized pediatric patients? Pediatrics. 2005;116(3):575-9. https://doi.org/10.1542/peds.2005-0521

    Article  PubMed  Google Scholar 

  18. Credland N, Dyson J, Johnson MJ. Do early warning track and trigger tools improve patient outcomes? A systematic synthesis without meta-analysis. J Adv Nurs. 2021;77(2):622-634. https://doi.org/10.1111/jan.14619

    Article  PubMed  Google Scholar 

  19. Cacciaglia A. Saving Lives with AI: Using the Deterioration Index Predictive Model to Help Patients Sooner. Accessed 30 June 2023, 2023. https://epicshare.org/share-and-learn/saving-lives-with-ai

  20. Langley GL, Moen R, Nolan K, Nolan T, Norman C, Provost L. The Improvement Guide: A Practical Approach to Enhancing Organizational Performance (2nd edition). Jossey-Bass Publishers; 2009.

  21. Goodman D, Ogrinc G, Davies L, et al. Explanation and elaboration of the SQUIRE (Standards for Quality Improvement Reporting Excellence) Guidelines, V.2.0: examples of SQUIRE elements in the healthcare improvement literature. BMJ Qual Saf. 2016;25(12):e7. https://doi.org/10.1136/bmjqs-2015-004480

    Article  PubMed  PubMed Central  Google Scholar 

  22. The Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill. NC Inpatient Patient Characteristics by Hospital 2021. Accessed 27 June 2023. https://www.shepscenter.unc.edu/wp-content/uploads/2023/07/ptchar_all_and_by_hosp_2021_and.pdf.

  23. Nelson LS. The shewhart control chart—tests for special causes. J Qual Technol. 1984;237–239.

  24. Provost LP, Murray SK. The health care data guide: learning from data for improvement. John Wiley & Sons; 2022.

  25. Chua WL, See MTA, Legio-Quigley H, Jones D, Tee A, Liaw SY. Factors influencing the activation of the rapid response system for clinically deteriorating patients by frontline ward clinicians: a systematic review. Int J Qual Health Care. 2017;29(8):981-998. https://doi.org/10.1093/intqhc/mzx149

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors acknowledge Brittany Davis, RN, Ellenita Kornegay, RN, BSN, Jennifer Mack, MHA, MBA, BSN, RN, CCRN, Mary Jo Barfield, MBA, Kelly Reilly, MEd, the UNC Medical Center interpreters and rapid response teams, and the North Carolina Translational and Clinical Sciences Institute. In October 2023, this work was recognized as a Top Finalist for The Joint Commission and Kaiser Permanente Bernard J. Tyson National Award for Excellence in Pursuit of Healthcare Equity.

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Correspondence to Evan Raff MD.

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Raff, L., Blank, A.G., Crespo Regalado, R. et al. A Quality Improvement Project to Reduce Rapid Response System Inequities for Patients with Limited English Proficiency at a Quaternary Academic Medical Center. J GEN INTERN MED 39, 1103–1111 (2024). https://doi.org/10.1007/s11606-024-08678-x

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