An investigation of factors affecting technology acceptance and use decisions by Australian allied health therapists

The research reported in this paper describes the development, empirical validation and analysis of a model of technology acceptance by Australian occupational therapists. The study described involved the collection of quantitative data through a national survey, with over 2000 responses and a longitudinal case study within the community health sector. Results provide qualitative and quantitative support for the proposed model and demonstrate the inadequacy of traditional models of technology acceptance when applied to the health sector. This work extends technology acceptance studies into new realms of the health sector and highlights the need for a broadening of health IT research, and particularly technology acceptance studies, to encompass a more holistic and inclusive view of those who work in healthcare in order to gain a greater understanding of its complexities and how IS implementation success can be enhanced in this arena

Identification of recruitment and retention strategies for rehabilitation professionals in Ontario, Canada: results from expert panels

<p>Abstract</p> <p>Background</p> <p>Demand for rehabilitation services is expected to increase due to factors such as an aging population, workforce pressures, rise in chronic and complex multi-system disorders, advances in technology, and changes in interprofessional health service delivery models. However, health human resource (HHR) strategies for Canadian rehabilitation professionals are lagging behind other professional groups such as physicians and nurses. The objectives of this study were: 1) to identify recruitment and retention strategies of rehabilitation professionals including occupational therapists, physical therapists and speech language pathologists from the literature; and 2) to investigate both the importance and feasibility of the identified strategies using expert panels amongst HHR and education experts.</p> <p>Methods</p> <p>A review of the literature was conducted to identify recruitment and retention strategies for rehabilitation professionals. Two expert panels, one on <it>Recruitment and Retention </it>and the other on <it>Education </it>were convened to determine the importance and feasibility of the identified strategies. A modified-delphi process was used to gain consensus and to rate the identified strategies along these two dimensions.</p> <p>Results</p> <p>A total of 34 strategies were identified by the <it>Recruitment and Retention </it>and <it>Education </it>expert panels as being important and feasible for the development of a HHR plan for recruitment and retention of rehabilitation professionals. Seven were categorized under the <it>Quality of Worklife and Work Environment </it>theme, another seven in <it>Financial Incentives and Marketing</it>, two in <it>Workload and Skill Mix</it>, thirteen in <it>Professional Development </it>and five in <it>Education and Training</it>.</p> <p>Conclusion</p> <p>Based on the results from the expert panels, the three major areas of focus for HHR planning in the rehabilitation sector should include strategies addressing <it>Quality of Worklife and Work Environment</it>, <it>Financial Incentives and Marketing </it>and <it>Professional Development</it>.</p

A qualitative study of influences on older women's practitioner choices for back pain care

Background: Back pain is an increasingly prevalent health concern amongst Australian women for which a wide range of treatment options are available, offered by biomedical, allied health and complementary and alternative medicine (CAM) providers. Although there is an emerging literature on patterns of provider utilisation, less is known about the reasons why women with back pain select their chosen practitioner. In this paper we explore the influences on back pain sufferers' decision-making about treatment seeking with practitioners for their most recent episode of back pain. Methods. Drawing on 50 semi-structured interviews with women aged 60-65 years from the Australian Longitudinal Study on Women's Health (ALSWH) who have chronic back pain, we focus on the factors which influence their choice of practitioner. Analysis followed a framework approach to qualitative content analysis, augmented by NVivo 9 qualitative data analysis software. Key themes were identified and tested for rigour through inter-rater reliability and constant comparison. Results: The women identified four predominant influences on their choice of practitioner for back pain: familiarity with treatment or experiences with individual practitioners; recommendations from social networks; geographical proximity of practitioners; and, qualifications and credentials of practitioners. The therapeutic approach or evidence-base of the practices being utilised was not reported by the women as central to their back pain treatment decision making. Conclusions: Choice of practitioner appears to be unrelated to the therapeutic approaches, treatment practices or the scientific basis of therapeutic practices. Moreover, anecdotal lay reports of effectiveness and the 'treatment experience' may be more influential than formal qualifications in guiding women's choice of practitioner for their back pain. Further work is needed on the interpersonal, collective and subjective underpinnings of practitioner choice, particularly over time, in order to better understand why women utilise certain practitioners for back pain. © 2014 Kirby et al.; licensee BioMed Central Ltd

A framework for the adoption and diffusion of Personal Learning Environments in commercial organisations: an exploratory study in the learning and development sector in the UK

This study presents an exploratory approach to identify the main factors of Personal Learning Environment (PLE) adoption and diffusion within commercial organisations. Utilising an inductive investigative approach via the use of Grounded Theory methodology, relevant adoption factors were identified and their resulting influence during various stages of the innovation diffusion process were proposed. Data was collected using semi-structured interviews followed by systematic analysis using a three-staged coding process. The results revealed 10 factors affecting the adoption of PLEs influencing the innovation diffusion process at various stages. Informed by the Technology Acceptance Model and Innovation Diffusion Theory, the proposed model could have important implications for key decision makers within commercial organisations, while adopting, rejecting and assimilating new technological innovations (e.g. PLE) for learning delivery