Abstract

Understanding end-user populations is required in designing telepractice applications. This study explored computer literacy and health locus of control in head/neck cancer (HNC) patients to inform suitability for telerehabilitation. Sixty individuals with oropharygneal cancer were recruited. Computer literacy was examined using a 10-question survey. The Multidimensional Health Locus of Control Scale Form C (MHLC-C) examined perceptions of health “control”. Participants were mostly middle-aged males, from high socioeconomic backgrounds. Only 10% were non-computer users. Of the computers users, 91% reported daily use, 66% used multiple devices and over 75% rated themselves as “confident” users. More than half were open to using technology for health-related activities. High internal scores (MHLC-C) signified a belief that own behaviour influenced health status. HNC patients have high computer literacy and an internal health locus of control, both are positive factors to support telepractice models of care. This may include asynchronous models requiring heightened capacity for self-management.

Highlights

  • Understanding end-user populations is required in designing telepractice applications

  • This study explored computer literacy and health locus of control in head/neck cancer (HNC) patients to inform suitability for telerehabilitation

  • Subanalysis using the binary classification showed that 85% (n= 51) of patients demonstrated an overall “sufficient level” of computer literacy

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Summary

Introduction

Understanding end-user populations is required in designing telepractice applications. HNC patients have high computer literacy and an internal health locus of control, both are positive factors to support telepractice models of care. For future telepractice applications to be designed optimally, deeper understanding of the end-user population and their needs and skills is imperative to ensure appropriate integration of technology to replace or supplement in-person service delivery (Brennan & Barker, 2008; Pramuka & van Roosmalen, 2009) Human factors such as age, education, technology experience, functional status, and preference and readiness for health services have all been noted to impact on the delivery and receipt of both e-Health and telerehabilitation services (Brennan & Barker, 2008; Lea et al, 2005). Another study published at the same time from the United States reported slightly higher computer use, with 71.6% of participants reporting access to a computer and 77% reporting knowing how to use it (Kagan, Clarek & Happ, 2005)

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