School of Psychological Science

Postgraduate Profiles

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Shraddha Kashyap


Supervisors

Start date

Feb 2012

Submission date

May 2016

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Curriculum vitae

Shraddha Kashyap CV
[doc, 162.69 kb]
Updated 18 May 2015

Shraddha Kashyap

Thesis

Using Longitudinal Monitoring of Patient Progress to Predict and Manage the Risk of Self-Injurious Behaviour in an Inpatient Psychiatric Population

Summary

This thesis aims to improve the precision with which risk of self-injurious behaviour (including non-suicidal self-injury and suicide) can be predicted and prevented in an inpatient psychiatric population.

The daily monitoring of psychological distress amongst patients who reported experiencing suicidal thoughts suggested that sub-groups of patients exist who improve in their psychological distress at different rates. It was found that the group of patients who began with high distress, and did not report early improvement were at the highest risk of self-injury.

Predictors of group membership being explored include gender, diagnoses, and variables posited by the Interpersonal Theory of Suicide (Thomas Joiner), which are perceived burdensomeness, thwarted belongningness and the acquired capability of harming oneself. It is hoped that knowledge of predictors of group membership can aid early efforts to predict and manage risk of self-injury in this and other populations.

Why my research is important

Suicide and Non-Suicidal Self-Injury are both major public health problems, and some individuals who engage in non-suicidal self-injury may be at risk for future suicide.

While risk factors for both forms of self-injury have been identified, it is still difficult to predict which individuals experiencing suicidal thoughts and psychological distress will engage in self-injury.

Longitudinal measurements of patients' psychological distress during treatment can help improve our precision in predicting risk by identifying sub-groups of individuals who change at different rates, and are at higher and lower risks of engaging in self-injury.

Knowledge of predictors of group membership can further improve precision by identifying which individuals are more likely to be grouped amongst those at the highest risk of self-injury; which allows early prediction and prevention.

Funding

  • UPA Scholarship (and Safety-Net Top-Up Scholarship)
  • February 2012- August 2016.
  • Ad Hoc Scholarship provided though an ARC Linkage Grant.
  • December 2012- December 2014.

 

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Last updated:
Friday, 23 January, 2015 3:27 PM

http://www.psychology.uwa.edu.au/2148118