Publications by authors named "P Hough"

The air medical transport industry places a high value on developing and maintaining a culture of safety due to the higher risk nature of its operations. The dynamic nature of response and transport, inherent risks involved with flight, lack of supporting resources, weather conditions, and austere nature of the transport environment are all factors that highlight the need for enhanced safety. As such, the air medical transport industry has developed a robust and unique approach to provider and patient safety involving many tactics not otherwise used in other areas of health care.

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Introduction: Evidence suggests that smokers can successfully quit, remain abstinent or reduce smoking during a smoke-free mental health inpatient stay, provided behavioral/pharmacological support are offered. However, few evidence-based strategies to prevent the return to prehospital smoking behaviors post-discharge exist.

Aims And Methods: We report the development of an intervention designed to support smoking-related behavior change following discharge from a smoke-free mental health stay.

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Article Synopsis
  • The study examined smoking behavior and motivation to quit among mental health inpatients in England before and after discharge, focusing on the effects of smoke-free policies.
  • A total of 152 smokers out of 555 eligible patients were surveyed, revealing a high smoking prevalence of 51.9% and modest reductions in cigarette consumption and smoking urges post-discharge.
  • The findings highlight significant challenges in effectively implementing smoke-free policies, including limited support for patients trying to quit smoking.
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This case study reports the outcomes of an early supported discharge program. This model of care was trialled after Victoria introduced subacute weighted inlier equivalent separations funding to subacute in-patients in 2016. An allied health team (Supported Patient centred Early Discharge (SPeED)) managed patients suitable for assessment, intervention and early supported discharge (ESD).

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Objectives: Health services have an imperative to reduce prolonged patient length of stay (LOS) in ED. Our objective is to develop and validate an accurate prediction model for patient LOS in ED greater than 4 hours using a data mining technique.

Methods: Data were collected from a regional Australian public hospital for all ED presentations between 1 January 2016 and 31 December 2017.

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