Employers most desirable attributes in early-career physiotherapists: a content analysis of job advertisements

Author:

McAleer R.,Hanson L.,Kenny A.

Abstract

Abstract Background Ensuring a sufficient, appropriately qualified health workforce is of global concern. Understanding the attributes that employers seek is critical in recruitment, retention, and educational design. In physiotherapy, there is a dearth of evidence on desirable attributes that employers seek from early-career physiotherapists. This study directly addresses this gap. The aims of this study were to identify the characteristics of the jobs advertised for early-career physiotherapists in Australia; determine which attributes were most desired when employing an early-career physiotherapist; and identify if there were differences in the attributes required based upon workplace location. Methods New graduate and early-career physiotherapy job advertisements were collected for six months from 1st October 2020 until 31st March 2021 from SEEK.com.au, a large online employment marketplace that operates across ten countries in the Asia Pacific and Latin America. Job advertisements needed to specify new graduate or early-career physiotherapist eligibility and be located within Australia. Data extraction were completed using QuestionPro®. The Modified Monash Model was used to classify rurality of job location. Job advertisements were analysed descriptively and using content analysis to identify attributes. Results The search yielded 578 job advertisements with the greatest number collected in October 2020 (25.3%). Of the advertisements, 428 (74.0%) were in metropolitan locations (Modified Monash 1), 47 (8.1%) were in regional (Modified Monash 2), 99 (17.1%) were in rural locations (Modified Monash 3–5), and 4 (0.8%) were in remote locations (Modified Monash 6–7). Most roles were in private practice (63.3%) or aged care (21.7%). The top five attributes requested by employers were client focus, communication and interpersonal skills, team player, willingness to learn, and being able to build rapport, relationships, and networks. Academic results, resilience, and empathy were the least requested attributes. Differences in requested employability attributes increased with rurality. Conclusions This study addresses the current knowledge about attributes sought by employers for early-career physiotherapists. The most prevalent attributes requested were client focus and communication and interpersonal skills. This exploration of attributes can help to better prepare graduates for their first roles, align expectations, and increase understanding of priorities for entry level university programs, as well as identify priorities for support during transition to practice. Desired attributes should be clearly defined by employers in recruitment and retention processes.

Publisher

Springer Science and Business Media LLC

Reference60 articles.

1. United Nations. The 17 sustainable development goals [Internet]. United Nations. 2015. https://sdgs.un.org/goals United Nations.

2. World Health Organisation. Working for health 2022–2030 action plan [Internet]. Geneva; World Health Organisation. 2022. https://www.who.int/publications/i/item/9789240063341

3. World Health Organisation. Global strategy on human resources for health: workforce 2030. [Internet]. Geneva: World Health Organisation. 2016. https://www.who.int/publications/i/item/9789241511131

4. Bancroft D, Stott A. Developing the early career physiotherapy workforce for future advanced practice roles. Physiotherapy. 2021;113:e126–7.

5. Rios JA, Ling G, Pugh R, Becker D, Bacall A. Identifying critical 21st-Century skills for workplace success: a content analysis of job advertisements. Educ Res J. 2020;49(2):80–9.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3