Evidence map›Paper›PMID 28594315›Full record

ArticleJournal of neurotrauma2017

Forecasting Financial Resources for Future Traumatic Spinal Cord Injury Care Using Simulation Modeling.

Henry Ahn, Rachel Lewis, Argelio Santos, Christiana L Cheng, Vanessa K Noonan, Marcel F Dvorak, Anoushka Singh, A Gary Linassi, Sean Christie, Michael Goytan and 1 more

Abstract read
In one paragraph

Article in Journal of neurotrauma, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Henry Ahn1 University of Toronto Spine Program , Toronto, Ontario, Canada .
Rachel Lewis2 Centre for Operations Excellence, Sauder School of Business, University of British Columbia , Vancouver, British Columbia, Canada .
Argelio Santos3 Rick Hansen Institute , Vancouver, British Columbia, Canada .
Christiana L Cheng3 Rick Hansen Institute , Vancouver, British Columbia, Canada .
Vanessa K Noonan3 Rick Hansen Institute , Vancouver, British Columbia, Canada .
Marcel F Dvorak4 Department of Orthopaedics, University of British Columbia , Vancouver, British Columbia, Canada .
Anoushka Singh5 SCI Clinical Research Unit, Toronto Western Hospital , Toronto, Ontario, Canada .
A Gary Linassi6 Department of Physical Medicine and Rehabilitation, University of Saskatchewan , Saskatoon, Saskatchewan, Canada .
Sean Christie7 Research Division of Neurosurgery, Dalhousie University , Halifax, Nova Scotia, Canada .
Michael Goytan8 Sections of Orthopedics and Neurosurgery, University of Manitoba , Winnipeg, Manitoba, Canada .
Derek Atkins9 Operations and Logistics Division, Sauder School of Business, University of British Columbia , Vancouver, British Columbia, Canada .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Survivors of traumatic spinal cord injury (tSCI) have intense healthcare needs during acute and rehabilitation care and often through the rest of life. To prepare for a growing and aging population, simulation modeling was used to forecast the change in healthcare financial resources and long-term patient outcomes between 2012 and 2032. The model was developed with data from acute and rehabilitation care facilities across Canada participating in the Access to Care and Timing project. Future population and tSCI incidence for 2012 and 2032 were predicted with data from Statistics Canada and the Canadian Institute for Health Information. The projected tSCI incidence for 2012 was validated with actual data from the Rick Hansen SCI Registry of the participating facilities. Using a medium growth scenario, in 2032, the projected median age of persons with tSCI is 57 and persons 61 and older will account for 46% of injuries. Admissions to acute and rehabilitation facilities in 2032 were projected to increase by 31% and 25%, respectively. Because of the demographic shift to an older population, an increase in total population life expectancy with tSCI of 13% was observed despite a 22% increase in total life years lost to tSCI between 2012 and 2032. Care cost increased 54%, and rest of life cost increased 37% in 2032, translating to an additional CAD $16.4 million. With the demographics and management of tSCI changing with an aging population, accurate projections for the increased demand on resources will be critical for decision makers when planning the delivery of healthcare after tSCI.

Indexed as

Models, EconomicCanadaFemaleHospitalizationHumansIncidenceMaleRegistriesSpinal Cord Injuriesforecastinghealthcare costincidencesimulation modelingtraumatic spinal cord injury

Identifiers

PMID28594315
PMCPMC5653147

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.