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Forbes Healthcare Summit
2014-12-03    
All Day
Forbes Healthcare Summit: Smart Data Transforming Lives How big will the data get? This year we may collect more data about the human body than [...]
Customer Analytics & Engagement in Health Insurance
2014-12-04 - 2014-12-05    
All Day
Using Data Analytics, Product Experience & Innovation to Build a Profitable Customer-Centric Strategy Takeaway business ROI: Drive business value with customer analytics: learn what every business [...]
mHealth Summit
DECEMBER 7-11, 2014 The mHealth Summit, the largest event of its kind, convenes a diverse international delegation to explore the limits of mobile and connected [...]
The 26th Annual IHI National Forum
Overview ​2014 marks the 26th anniversary of an event that has shaped the course of health care quality in profound, enduring ways — the Annual [...]
Why A Risk Assessment is NOT Enough
2014-12-09    
2:00 pm - 3:30 pm
A common misconception is that  “A risk assessment makes me HIPAA compliant” Sadly this thought can cost your practice more than taking no action at [...]
iHT2 Health IT Summit
2014-12-10 - 2014-12-11    
All Day
Each year, the Institute hosts a series of events & programs which promote improvements in the quality, safety, and efficiency of health care through information technology [...]
Design a premium health insurance plan that engages customers, retains subscribers and understands behaviors
2014-12-16    
11:30 am - 12:30 pm
Wed, Dec 17, 2014 1:00 AM - 2:00 AM IST Join our webinar with John Mills - UPMC, Tim Gilchrist - Columbia University HITLAP, and [...]
Events on 2014-12-03
Forbes Healthcare Summit
3 Dec 14
New York City
Events on 2014-12-04
Events on 2014-12-07
mHealth Summit
7 Dec 14
Washington
Events on 2014-12-09
Events on 2014-12-10
iHT2 Health IT Summit
10 Dec 14
Houston
Press Releases

Higher risk of death for patients leaving hospital during the Christmas holiday

patients

Reduced staffing and lack of follow-up care could mean the December holiday period is a more vulnerable time for patients discharged from hospital 

Patients sent home from hospital during the December holiday period are less likely to have a follow-up appointment, and have a higher risk of death and readmission within 30 days, finds a study from Ontario, Canada in the Christmas issue of The BMJ.

Previous studies of the “weekend effect” have found an increased risk of death or readmission for patients admitted to hospital on Fridays or at weekends compared with weekdays, possibly due to decreased levels of staffing and delays in testing.

But the few studies which have looked at the effect of timing of hospital discharge have reported mixed results, and there has been a lack of research on the December holiday period.

So researchers at ICES in Canada set out to investigate whether patients discharged from hospital during the December holiday period have fewer follow up appointments, and higher rates of death or readmission, than those discharged at other times.

They analysed 217,305 cases of adults and children discharged from hospitals in Ontario during the two week December holiday period, between 2002 and 2016.

This was compared with 453,641 cases of patients discharged during two control periods in late November and January. 

The researchers excluded groups likely to have different follow-up needs and risk of re-admission, including newborns, pregnant women, patients admitted for palliative care and those with a long term hospital stay.

Those discharged during the Christmas holiday period were found to have a higher risk of death or readmission within the next 7, 14 and 30 days, with the greatest risk being at 16% within the first 7 days.

In addition, those discharged during the holiday were also 39% less likely to have a follow-up appointment within 7 days, possibly due to wanting to postpone until after the festivities, the researchers suggest. 

Interestingly, patients with a higher baseline risk, such as those with lung disease, had a lower holiday-related risk of readmission and death than those with a lower baseline risk. 

The authors suggest that this could be because “in a setting of reduced resources over the holiday, clinicians [may] prioritise higher risk patients”.

Furthermore, it was found that per 100,000 patients, 26 more deaths,188 excess re-hospitalisations, 483 extra visits to an emergency department and 2,999 fewer follow-ups were associated with being discharged during the Christmas holiday.

The authors consider several factors which might explain these findings, including limited access to care, difficulty in booking appointments and reduced levels of staffing. 

And they suggest that the Christmas festivities often involve excessive drinking and eating, heightened emotional stress and lack of sleep. “These altered circumstances could destabilise an acute medical condition”, they add.

But the authors highlight the limitations of the study and that they cannot rule out the possibility that some of the risk may be a result of other unmeasured factors.

They say that “more detailed information on patient severity of illness would strengthen the argument for causation between discharge during the holiday period and health outcomes”.

They also acknowledge that their Ontario-based study may not be applicable to all populations – in particular, they note that “follow-up rates can be expected to vary according to local community practices”. 

However, the study stresses the need for doctors to pay attention to discharge planning and coordination of care during the festive period.

Source