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Disability Impacts Length of Stay in General Internal Medicine Patients

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ABSTRACT

BACKGROUND

Disability is prevalent among patients treated in Internal Medicine (IM), but its impact on length of inpatient stay (LOS) is unknown. Current systems of patient management and resource allocation are disease-focused with scant attention paid to functional impairment. Earlier studies in selected cohorts suggest that disability prolongs LOS.

OBJECTIVE

To investigate the relationship of disability with LOS in IM, controlling for comorbidity.

DESIGN

Prospective cohort study.

PATIENTS

We charted 448 patients from an IM team admitted between 2008 and 2012 for sociodemographic, disease, biochemical and functional characteristics. Each IM team is on duty for one month annually, and patients were hence recruited for one month each year.

MAIN MEASURES

Disability was measured using the Functional Independence Measure (FIM) recorded at discharge. Comorbidity was measured using the Charlson Comorbidity Index (CCI).

KEY RESULTS

Of the 448 patients, 57.4 % were male with mean age 68.6 years. The mean LOS was 9.58 days. The mean motor and cognitive FIM scores were 57.1 and 25.7, respectively. The mean CCI score was 2.69. Thirty-four percent had major social issues impacting discharge plans. The five most common diagnoses for admission were pneumonia (8.9 %), urinary tract infection (7.8 %), cellulitis (7.6 %), heart failure (7.1 %) and falls (6.0 %). Both cognitive and motor FIM scores were negatively correlated with longer LOS (P < 0.001). On multivariate analysis, variables independently associated with longer LOS included the motor FIM score (P < 0.001), presence of social issues such as caregiver unavailability (P < 0.001), non-realistic patient expectations (P = 0.001) and administrative issues impeding discharge (P = 0.016).

CONCLUSION

Disability predicts LOS in IM patients, and thus their comprehensive care should involve functional assessment. As social and administrative factors were also independently associated with LOS, there is a need to involve social workers and administrators in a multidisciplinary approach towards optimizing LOS.

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REFERENCES

  1. Kaboli PJ, Go JT, Hockenberry J, et al. Associations between reduced hospital length of stay and 30-day readmission rate and mortality: 14-year experience in 129 veterans affairs hospitals. Ann Intern Med. 2012;157(12):837–845.

    Article  PubMed  Google Scholar 

  2. Diringer MN, Edwards DF, Mattson DT, et al. Predictors of acute hospital costs for treatment of ischemic stroke in an academic center. Stroke. 1999;30(4):724–728.

    Article  CAS  PubMed  Google Scholar 

  3. Huang YC, Hu CJ, Lee TH, et al. The impact factors on the cost and length of stay among acute ischemic stroke. J Stroke Cerebrovasc Dis. 2013;22(7):e152–158.

    Google Scholar 

  4. Mainous AG, 3rd, Diaz VA, Knoll ME, Hulihan MM, Grant AM, Wright RU. Transferrin saturation and hospital length of stay and mortality in medicare beneficiaries. J Am Geriatr Soc. 2013;61(1):132–136.

  5. Ministry of Health, Singapore. Available at: www.moh.gov.sg/. Accessed October 2, 2012.

  6. Kossovsky MP, Sarasin FP, Chopard P, et al. Relationship between hospital length of stay and quality of care in patients with congestive heart failure. Qual Saf Health Care. 2002;11(3):219–223.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  7. Lim SC, Doshi V, Castasus B, Lim JK, Mamun K. Factors causing delay in discharge of elderly patients in an acute care hospital. Ann Acad Med Singap. 2006;35(1):27–32.

    CAS  PubMed  Google Scholar 

  8. Cortoos PJ, Gilissen C, Laekeman G, et al. Length of stay after reaching clinical stability drives hospital costs associated with adult community-acquired pneumonia. Scand J Infect Dis. 2013;45(3):219–226.

    Google Scholar 

  9. Westacott DJ, Abosala AA, Kurdy NM. The factors associated with prolonged inpatient stay after surgical fixation of acute ankle fractures. J Foot Ankle Surg. 2010;49(3):259–262.

    Article  PubMed  Google Scholar 

  10. Lye DC, Earnest A, Ling ML, et al. The impact of multidrug resistance in healthcare-associated and nosocomial Gram-negative bacteraemia on mortality and length of stay: cohort study. Clin Microbiol Infect. 2012;18(5):502–508.

    Article  CAS  PubMed  Google Scholar 

  11. Foraker RE, Rose KM, Chang PP, Suchindran CM, McNeill AM, Rosamond WD. Hospital length of stay for incident heart failure: atherosclerosis risk in communities (ARIC) cohort: 1987-2005. J Healthc Qual. 2014;36(1):45–51.

    Google Scholar 

  12. Pua YH, Ong PH, Chong HC, Lo NN. Sunday physiotherapy reduces inpatient stay in knee arthroplasty: a retrospective cohort study. Arch Phys Med Rehabil. 2011;92(6):880–885.

    Article  PubMed  Google Scholar 

  13. Shelton W, Moore CD, Socaris S, Gao J, Dowling J. The effect of a family support intervention on family satisfaction, length-of-stay, and cost of care in the intensive care unit. Crit Care Med. 2010;38(5):1315–1320.

    PubMed  Google Scholar 

  14. Bohannon RW, Cooper J. Admission function portends discharge function and length of stay after stroke. J Stroke Cerebrovasc Dis. 1994;4(4):235–237.

    Article  Google Scholar 

  15. Greenberg NS, Rosin AJ. Factors influencing admission or nonadmission of the aged to the hospital. J Am Geriatr Soc. 1982;30(10):635–641.

    CAS  PubMed  Google Scholar 

  16. Shapiro MF. Challenges and opportunities for general internal medicine. J Gen Intern Med. 2004;19(1):95–96.

    Article  PubMed Central  PubMed  Google Scholar 

  17. Willems JM, de Craen AJ, Nelissen RG, van Luijt PA, Westendorp RG, Blauw GJ. Haemoglobin predicts length of hospital stay after hip fracture surgery in older patients. Maturitas. 2012;72(3):225–228.

    Article  CAS  PubMed  Google Scholar 

  18. Herrmann FR, Safran C, Levkoff SE, Minaker KL. Serum albumin level on admission as a predictor of death, length of stay, and readmission. Arch Intern Med. 1992;152(1):125–130.

    Article  CAS  PubMed  Google Scholar 

  19. Keefler J, Duder S, Lechman C. Predicting length of stay in an acute care hospital: the role of psychosocial problems. Soc Work Health Care. 2001;33(2):1–16.

    Article  CAS  PubMed  Google Scholar 

  20. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chron Dis. 1987;40(5):373–383.

    Article  CAS  PubMed  Google Scholar 

  21. Nardi R, Scanelli G, Corrao S, Iori I, Mathieu G, Cataldi AR. Co-morbidity does not reflect complexity in internal medicine patients. Eur J Int Med. 2007;18(5):359–368.

    Article  Google Scholar 

  22. Black T. FIM system adapts to rehabilitation’s changing needs. ARN Network. 1998;14(1):1–2.

    Google Scholar 

  23. Granger CV, Hamilton BB, Keith RA, Zielesny M, Sherwin FS. Advances in functional assessment for medical rehabilitation. Top Geriatr Rehabil. 1986;1:59–74.

    Article  Google Scholar 

  24. Stineman MG. Measuring casemix, severity, and complexity in geriatric patients undergoing rehabilitation. Med Care. 1997;35(6):JS90–JS105. discussion JS6-12.

    CAS  PubMed  Google Scholar 

  25. Stineman MG, Shea JA, Jette A, et al. The Functional Independence Measure: tests of scaling assumptions, structure, and reliability across 20 diverse impairment categories. Arch Phys Med Rehabil. 1996;77(11):1101–1108.

    Article  CAS  PubMed  Google Scholar 

  26. Sharrack B, Hughes RA, Soudain S, Dunn G. The psychometric properties of clinical rating scales used in multiple sclerosis. Brain. 1999;122(Pt 1):141–159.

    Article  PubMed  Google Scholar 

  27. Heinemann AW, Linacre JM, Wright BD, Hamilton BB, Granger C. Prediction of rehabilitation outcomes with disability measures. Arch Phys Med Rehabil. 1994;75(2):133–143.

    CAS  PubMed  Google Scholar 

  28. Tan WS, Chong WF, Chua KS, Heng BH, Chan KF. Factors associated with delayed discharges after inpatient stroke rehabilitation in Singapore. Ann Acad Med Singap. 2010;39(6):435–441.

    PubMed  Google Scholar 

  29. Glass RI, Mulvihill MN, Smith H Jr, Peto R, Bucheister D, Stoll BJ. The 4 score: an index for predicting a patient’s non-medical hospital days. Am J Public Health. 1977;67(8):751–755.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  30. Collins TC, Daley J, Henderson WH, Khuri SF. Risk factors for prolonged length of stay after major elective surgery. Ann Surg. 1999;230(2):251–259.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  31. Albert K, Sherman B, Backus B. How length of stay for congestive heart failure patients was reduced through six sigma methodology and physician leadership. Am J Med Qual. 2010;25(5):392–397.

    Article  PubMed  Google Scholar 

  32. Chant C, Smith OM, Marshall JC, Friedrich JO. Relationship of catheter-associated urinary tract infection to mortality and length of stay in critically ill patients: a systematic review and meta-analysis of observational studies. Crit Care Med. 2011;39(5):1167–1173.

    Article  PubMed  Google Scholar 

  33. Saxena SK, Koh GC, Ng TP, Fong NP, Yong D. Determinants of length of stay during post-stroke rehabilitation in community hospitals. Singap Med J. 2007;48(5):400–407.

    CAS  Google Scholar 

  34. Gillis A, MacDonald B. Deconditioning in the hospitalized elderly. Can Nurse. 2005;101(6):16–20.

    PubMed  Google Scholar 

  35. Grey N, Kennedy P. The Functional Independence Measure: a comparative study of clinician and self ratings. Paraplegia. 1993;31(7):457–461.

    Article  CAS  PubMed  Google Scholar 

  36. Harboun M, Ankri J. [Comorbidity indexes: review of the literature and application to studies of elderly population]. Rev Epidemiol Sante Publique. 2001;49(3):287–298.

    CAS  PubMed  Google Scholar 

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Acknowledgements

(1) Contributors: All authors who contributed to the manuscript meet the criteria for authorship.

(2) Funders: This study was supported by the Department of Rehabilitation Medicine of the Singapore General Hospital.

(3) Prior Presentations: This work was presented in part as an oral presentation at the annual meeting of the Society of General Internal Medicine in Denver, Colorado on 25 April 2013.

Conflict of Interest

The authors declare that they do not have a conflict of interest.

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Correspondence to Yee Sien Ng MBBS, MRCP, FAMS.

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Tan, C., Ng, Y., Koh, G.C.H. et al. Disability Impacts Length of Stay in General Internal Medicine Patients. J GEN INTERN MED 29, 885–890 (2014). https://doi.org/10.1007/s11606-014-2815-z

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  • DOI: https://doi.org/10.1007/s11606-014-2815-z

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