Dataset Information

Effect of stroke early supported discharge on length of hospital stay: analysis from a national stroke registry.

ABSTRACT:

Objective

The first observational study to investigate the impact of early supported discharge (ESD) on length of hospital stay in real-world conditions.

Design

Using historical prospective Sentinel Stroke National Audit Programme (SSNAP) data (1 January 2013-31 December 2016) and multilevel modelling, cross-sectional (2015-2016; 30 791 patients nested within 55 hospitals) and repeated cross-sectional (2013-2014 vs 2015-2016; 49 266 patients nested within 41 hospitals) analyses were undertaken.

Setting

Hospitals were sampled across a large geographical area of England covering the West and East Midlands, the East of England and the North of England.

Participants

Stroke patients whose data were entered into the SSNAP database by hospital teams.

Interventions

Receiving ESD along the patient care pathway.

Primary and secondary outcome measures

Length of hospital stay.

Results

When adjusted for important case-mix variables, patients who received ESD on their stroke care pathway spent longer in hospital, compared with those who did not receive ESD. The percentage increase was 15.8% (95% CI 12.3% to 19.4%) for the 2015-2016 cross-sectional analysis and 18.8% (95% CI 13.9% to 24.0%) for the 2013-2014 versus 2015-2016 repeated cross-sectional analysis. On average, the increased length of hospital stay was approximately 1 day.

Conclusions

This study has shown that by comparing ESD and non-ESD patient groups matched for important patient characteristics, receiving ESD resulted in a 1-day increase in length of hospital stay. The large reduction in length of hospital stay overall, since original trials were conducted, may explain why a reduction was not observed. The longer term benefits of accessing ESD need to be investigated further.

Trial registration number

http://www.isrctn.com/ISRCTN15568163.

SUBMITTER: Fisher RJ

PROVIDER: S-EPMC7818805 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundImplementation of stroke early supported discharge (ESD) services has been recommended in many countries' clinical guidelines, based on clinical trial evidence. This is the first observational study to investigate the effectiveness of ESD service models operating in real-world conditions, at scale.Methods and resultsUsing historical prospective data from the United Kingdom Sentinel Stroke National Audit Programme (January 1, 2016-December 31, 2016), measures of ESD effectiveness were "days to ESD" (number of days from hospital discharge to first ESD contact; n=6222), "rehabilitation intensity" (total number of treatment days/total days with ESD; n=5891), and stroke survivor outcome (modified Rankin scale at ESD discharge; n=6222). ESD service models (derived from Sentinel Stroke National Audit Programme postacute organizational audit data) were categorized with a 17-item score, reflecting adoption of ESD consensus core components (evidence-based criteria). Multilevel modeling analysis was undertaken as patients were clustered within ESD teams across the Midlands, East, and North of England (n=31). A variety of ESD service models had been adopted, as reflected by variability in the ESD consensus score. Controlling for patient characteristics and Sentinel Stroke National Audit Programme hospital score, a 1-unit increase in ESD consensus score was significantly associated with a more responsive ESD service (reduced odds of patient being seen after ≥1 day of 29% [95% CI, 1%-49%] and increased treatment intensity by 2% [95% CI, 0.3%-4%]). There was no association with stroke survivor outcome measured by the modified Rankin Scale.ConclusionsThis study has shown that adopting defined core components of ESD is associated with providing a more responsive and intensive ESD service. This shows that adherence to evidence-based criteria is likely to result in a more effective ESD service as defined by process measures. Registration: URL: http://www.isrctn.com/; Unique identifier: ISRCTN15568163.

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