Literature DB >> 24844242

Workforce profile for allied health professions in Queensland Public Health cancer care services with linear accelerators.

Juanine Passfield1, Liam McQueen2, Julie Hulcombe2.   

Abstract

PURPOSE: This article profiles staffing levels for all allied health professionals in Queensland Public Health cancer care services to determine whether linear accelerator hours per clinical day are a potentially useful predictor of workforce requirements. Currently, radiation therapists and radiation oncology medical physicists have developed professional guidelines for calculating staffing full-time equivalents (FTEs) related to linear accelerator hours per clinical day.
METHODS: Queensland Public Health service managers were surveyed using a self-reported standardized data collection tool, requesting the FTE allied health staff provided for a number of services, including cancer care. Linear accelerator hours per clinical day were also collected. A linear regression model was employed to determine the relationship with the allied health workforce FTEs at linear accelerator sites.
RESULTS: High correlations existed between linear accelerator hours per clinical day and radiation therapists (0.99), radiation oncology medical physicists (0.95), pharmacy services (pharmacists and assistants combined; 0.91), and rehabilitation allied health staff (> 0.95). A linear regression model was employed to determine the allied health pharmacy service and rehabilitation workforce FTEs.
CONCLUSION: In the four Queensland Public Health cancer care services with linear accelerators, radiation therapists, radiation oncology medical physicists, pharmacy services, and rehabilitation allied health staff, cancer care staff are highly correlated with linear accelerator hours per clinical day. The findings support identifying and establishing alternative denominators for allied health workforce requirements in cancer care beyond those of expert knowledge, opinion, and consensus.
Copyright © 2014 by American Society of Clinical Oncology.

Entities:  

Mesh:

Year:  2014        PMID: 24844242     DOI: 10.1200/JOP.2013.001261

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN: 1554-7477            Impact factor:   3.840


  2 in total

1.  Radiation therapy staffing model 2014.

Authors:  Leigh J Smith; Rachel Kearvell; Anthony J Arnold; Kevina Choma; Aniko Cooper; Michael R Young; Donna L Matthews; Bronwyn Hilder; Debbie Howson; Katherine Fox; Katheryn Churcher
Journal:  J Med Radiat Sci       Date:  2016-12

2.  Computer Literacy and Health Locus of Control as Determinants for Readiness and Acceptability of Telepractice in a Head and Neck Cancer Population.

Authors:  Bena Cartmill; Laurelie R Wall; Elizabeth C Ward; Anne J Hill; Sandro V Porceddu
Journal:  Int J Telerehabil       Date:  2016-12-15
  2 in total

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