The benefit of evolving multidisciplinary care in ALS: a diagnostic cohort survival comparison

Amyotroph Lateral Scler Frontotemporal Degener. 2017 Nov;18(7-8):569-575. doi: 10.1080/21678421.2017.1349151. Epub 2017 Jul 18.

Abstract

Background: Care for people with amyotrophic lateral sclerosis (ALS) has altered at King's College Hospital over the last 20 years. The clinic has been a multidisciplinary, specialist, tertiary referral centre since 1995 with a large team with integrated palliative and respiratory care since 2006. We hypothesised that these changes would improve survival.

Methods: In this retrospective observational study, patients diagnosed with El Escorial definite, probable and possible ALS between 1995-1998 and 2008-2011 were followed up. The primary outcome measure was a chi-square test for the proportion of each cohort surviving. Kaplan-Meier survival analysis and Cox multivariate regression were secondary analyses.

Results: There was low reporting of some interventions. Five hundred and forty-seven people were included. Survival between the cohorts was significantly different (p = 0.022) with a higher proportion surviving during 2008-2011. Survival time was 21.6 (95% CI 19.2-24.0) months in the 2008-2011 cohort compared to 19.2 years (15.6-21.6) in the 1995-1998 cohort (log rank p = 0.018). Four hundred and ninety-three cases were included in the Cox regression. Diagnostic cohort was a significant predictor variable (HR 0.79 (0.64-0.97) p = 0.023).

Conclusions: These results support the hypothesis that integrated specialist clinics with multidisciplinary input improve survival in ALS.

Keywords: Motor neuron disease; amyotrophic lateral sclerosis; care quality; multidisciplinary care; multidisciplinary team; survival.

Publication types

  • Comparative Study

MeSH terms

  • Amyotrophic Lateral Sclerosis / mortality*
  • Amyotrophic Lateral Sclerosis / nursing*
  • Cohort Studies
  • Delivery of Health Care, Integrated / statistics & numerical data*
  • Female
  • Humans
  • London / epidemiology
  • Male
  • Middle Aged
  • Patient Care Team / statistics & numerical data*
  • Prevalence
  • Proportional Hazards Models*
  • Registries*
  • Risk Factors
  • Survival Analysis