Related Experiment Videos
When has service provision for transient ischaemic attack improved enough? A discrete event simulation economic
Pelham Barton1, James P Sheppard2, Cristina M Penaloza-Ramos1
1Health Economics Unit, University of Birmingham, Birmingham, UK.
BMJ Open
|November 28, 2017
Summary
Transient ischaemic attack (TIA) service reconfiguration improved target attainment but had minimal impact on major stroke incidence. Investment in already efficient TIA services may not be cost-effective for clinical outcomes.
Area of Science:
- Health Services Research
- Clinical Outcomes Research
- Healthcare Management
Background:
- Transient ischaemic attack (TIA) services are crucial for preventing subsequent strokes.
- Optimizing TIA service delivery is essential for improving patient outcomes and managing healthcare costs.
Purpose of the Study:
- To evaluate the impact of modifying transient ischaemic attack (TIA) services on healthcare costs and clinical outcomes in two hospital settings.
- To assess the effectiveness of different TIA service configurations in meeting national targets for patient care.
Main Methods:
- A discrete event simulation model was developed using electronic health record data from 2011.
- The model analyzed patient pathways from symptom onset through TIA diagnosis, treatment, and subsequent stroke risk.
- Interventions included comparing existing services with previous models and hypothetical reconfigurations, such as a 7-day service.
Main Results:
- Service reconfiguration improved the proportion of high-risk patients seen within 24 hours from 31% to 79%.
- Median time to clinic attendance decreased from 1.15 days to 0.85 days.
- While costs varied slightly between sites, there was no significant reduction in the modelled incidence of major stroke.
Conclusions:
- Modifying TIA services effectively increases the attainment of national care targets.
- For TIA services already operating efficiently (1-2 day treatment times), further reconfiguration shows minimal impact on clinical outcomes.
- Increased investment in optimizing highly efficient TIA services may not yield significant clinical benefits or be cost-effective.
Related Concept Videos
Acid Attack on Concrete
762
When acids come into contact with concrete, they initiate a chemical reaction that dissolves the hydrated cement paste. This process leads to softening and structural weakening of the concrete. This issue is commonly observed in environments such as chimneys, sewers, and industrial settings. The severity of the damage increases as the pH of the water interacting with the concrete drops below 6.5. In particular, a pH under 4.5 can cause significant concrete damage.
The rate at which hydrogen...
The rate at which hydrogen...
762
Sulfate Attack on Concrete
747
Sulfate attack on concrete is a deterioration process characterized by a whitish discoloration beginning at the edges and corners, accompanied by cracking and spalling. This phenomenon occurs when sulfates react with the components of hardened concrete, forming compounds like calcium sulfate and calcium sulfoaluminate which occupy more space than the substances they replace, causing the concrete to expand and disrupt.
Sulfates from sources like soil, groundwater, or industrial effluents...
Sulfates from sources like soil, groundwater, or industrial effluents...
747
Discrete Fourier Transform
901
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
901
Discrete-time Fourier transform
1.1K
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
One of the notable...
1.1K
Basic Discrete Time Signals
724
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
724
Discrete-Time Fourier Series
686
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
For a discrete-time periodic signal x[n]...
686