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Related Concept Videos

Hindsight Biases01:12

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
The...
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

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Related Experiment Videos

Predicting the past or risk management?

Graham Mellsop1, Fiona Clapham-Howard, John Turbott

  • 1Waikato Clinical School, Waikato Hospital, Private Bag 3200, Hamilton, New Zealand. mellsopg@waikatodhb.govt.nz

The New Zealand Medical Journal
|August 25, 2009
PubMed
Summary
This summary is machine-generated.

Risk assessment templates in mental health may be counterproductive, hindering comprehensive care. Utilizing a multiaxial classification system could improve effectiveness and efficiency for psychiatrists.

Related Experiment Videos

Area of Science:

  • Psychiatry
  • Mental Health Services
  • Clinical Risk Management

Background:

  • Risk assessment templates are widely used in mental health services to prevent adverse events.
  • Theoretical and empirical evidence suggests these templates may have unintended negative consequences.
  • Potential drawbacks include distraction from holistic clinical planning and introduction of inefficiencies.

Purpose of the Study:

  • To evaluate the effectiveness and efficiency of current risk assessment template approaches in mental health.
  • To explore alternative methods for clinical risk assessment and management planning.
  • To propose a more effective model for mental health risk assessment.

Main Methods:

  • Review of theoretical problems associated with risk assessment templates.
  • Analysis of empirical and observational evidence on the impact of templates.
  • Exploration of the utility of a multiaxial classification system as a precursor to clinical management.

Main Results:

  • Risk assessment templates may paradoxically reduce effectiveness by distracting clinicians.
  • Current approaches can lead to inefficiencies within mental health services.
  • A multiaxial classification system is preferred by New Zealand psychiatrists for clinical management.

Conclusions:

  • Rethinking the reliance on standardized risk assessment templates is necessary.
  • Integrating a multiaxial classification system could enhance clinical management planning.
  • Adopting a classification-led approach may improve both effectiveness and efficiency in mental health care.