Investigating the resistance to telemedicine in Ethiopia

Xue, Yajiong; Liang, Huigang; Mbarika, Victor; Hauser, Richard; Schwager, Paul H.; Getahun, Mequanint Kassa

doi:10.1016/j.ijmedinf.2015.04.005

Cited by 40 publications

(48 citation statements)

References 63 publications

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“…Agarwal, Sambamurthy, & Stair, 2000;Ajzen, 2002). This specifically holds true for mHealth tool in research conducted by Xue et al (2015) in Ethiopia. They posit that perceived behavioural control which could be aligned with self-efficacy can make individuals more motivated to perform a target behaviour (goal) (Xue et al, (2015).…”

Section: Discussionmentioning

confidence: 88%

“…This specifically holds true for mHealth tool in research conducted by Xue et al (2015) in Ethiopia. They posit that perceived behavioural control which could be aligned with self-efficacy can make individuals more motivated to perform a target behaviour (goal) (Xue et al, (2015). The perceived opportunity for new information and communication channels construct arose out of the stakeholders' perceptions around these other 'things' that one could use the mHealth tool for.…”

Section: Discussionmentioning

confidence: 88%

“…The perceived threat from social exclusion construct manifested for stakeholders' concerns around the internal fear for technology and job loss as a result of introducing an mHealth tool (Chang et al, 2013;Maeder, 2014). Some stakeholders expressed concern for the security of their jobs as the introduction of an mHealth tool might mean fewer workers would be required (Chang et al, 2013;Xue et al, 2015). Other stakeholders (e.g., Doctors) expressed concern over the possible change to the traditional way treatments are done (Desai, Khan, Mistry, & Gaikawad, 2016;Malvey & Slovensky, 2014).…”

Section: Discussionmentioning

confidence: 99%

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Understanding the Factors that Influence the Primary Appraisal of mHealth Tools in Developing Countries: An Exploratory Case-Study in Nigeria

Eze

Gleasure

Heavin

2019

AJIS

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Shortages of health workers, infrastructural deficiencies, limited access to medical care are just a few of the many barriers to care in developing countries. The integration of smartphones and mobile devices into healthcare systems has been proposed to address some of the physical barriers to care and service delivery. These mHealth solutions extend the reach of medical care into rural areas of developing countries. However, it is not clear how mHealth solutions designed and tested in one developing region can be positively appraised for use in others. This study frames this problem using a coping theory approach based on an exploratory case-study to understand the factors that influence primary appraisal of smartphone-enabled clinical guidelines (mHealth tool) for accessing, classifying and eliciting treatment recommendation for sick children under the age of five by rural healthcare workers (RHCWs). Findings identified a set of factors which are bound as an emerging explanatory positivity model that influence primary appraisal of an mHealth tool in a new context. These factors are the set of individual and social factors that governments, funding bodies and non-governmental organisations should consider before embarking on the introduction of an mHealth tool in rural communities of developing countries. It is envisaged that by understanding the factors that influence primary appraisal, that is, either as an opportunity or a threat, practitioners and organisations will support positive appraisal and minimise the occurrence of negative ones when introducing mHealth tools. These findings have implications for theory, practice, and future research as explained in the concluding section of this paper.

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Section: Discussionmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 99%

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Understanding the Factors that Influence the Primary Appraisal of mHealth Tools in Developing Countries: An Exploratory Case-Study in Nigeria

Eze

Gleasure

Heavin

2019

AJIS

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“…Finally, as these studies generally provide descriptive results, it is difficult to ascertain how these findings contribute to theories. This is a recognised problem in most health informatics research that several scholars have called for more integration of theories when examining various forms of health information technologies (Fanning, et al, 2017;Orlowski et al, 2015;Xue et al, 2015). Theory integration in health information technology research is needed to uncover patterns on how these technologies interact with social systems (e.g., users, organisations, policies) as these are instrumental when creating well-informed policies (Cresswell & Sheikh, 2013;Kruse, DeShazo, Kim, & Fulton, 2014).…”

Section: Research Gaps On Studies About Mobile Phone Use In the Hospimentioning

confidence: 99%

“…Third, this research contributed to the field of health informatics by applying behavioural and organisational theories to examine a routinely used health information technology. As mentioned in Chapter Two, scholars (e.g., Fanning et al, 2017;Xue et al, 2015) argued that most studies in this field were atheoretical and there is a need to apply theories to examine the implications of health information technologies better. Specifically, this research extended the applicability of the Theory of Planned Behaviour by using it as a basis to determine behavioural predictors of nurses' use of smartphones for work purposes.…”

Section: Theoretical Implicationsmentioning

confidence: 99%

Nurses? use of smartphones for work purposes in the Philippines : predictors, outcomes, and issues

Bautista¹

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This thesis would not have been possible without the help of several people throughout my journey as a PhD student. First, I would like to thank my supervisors, Prof. Theng Yin Leng and Asst. Prof. Sonny Rosenthal for providing support and guidance throughout my PhD. Second, I would like to thank Assoc. Prof. Trisha T. C. Lin of the National Chengchi University, Taiwan, for providing me the opportunity to learn and experience communication research by hiring me as her project officer in NTU (2012-2013). I also thank her for supervising the first two years of my PhD study (2014-2016) until the successful defence of my thesis proposal. Later, she continued to serve as my external thesis advisory committee member after leaving NTU. I am forever grateful to her as I would not be able to enter and complete the PhD programme without her steadfast support and mentorship. Third, I would like to express my sincerest gratitude to Prof. Charles T. Salmon and to the rest of the Wee Kim Wee School's administrative and academic staff for being helpful and supportive throughout my PhD. I also thank my friends in COOL ASIA and CHESS for the emotional support. Fourth, I am grateful to countless nursing colleagues in the Philippines who assisted me during data collection. I also like to recognise the help of several hospital administrators who permitted me to collect data in their institutions. Fifth, I would like to thank my parents, Myrna Bautista and Elvis Bautista, and sister, Jeselle Bautista, for being supportive of my personal and professional endeavours, and for always believing in my capabilities. Sixth, I am grateful to my wife, Therese Anne Bautista, for being there with me, especially during the trying times of my PhD journey. I hope that I will be able to spend more quality time with her upon completing this thesis. Lastly, I am eternally grateful to the Lord Almighty for blessing me with the courage to face all trials in life. Thank you for all His unconditional love and for giving me supportive colleagues, friends, and loved ones that I cherish in my life. viii

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Technical Factors in Telemedicine Adoption in Extreme Resource-Poor Countries

Adelakun

Garcia

2019

Global Health and Volunteering Beyond Borders

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Investigating the resistance to telemedicine in Ethiopia

Cited by 40 publications

References 63 publications

Understanding the Factors that Influence the Primary Appraisal of mHealth Tools in Developing Countries: An Exploratory Case-Study in Nigeria

Understanding the Factors that Influence the Primary Appraisal of mHealth Tools in Developing Countries: An Exploratory Case-Study in Nigeria

Nurses? use of smartphones for work purposes in the Philippines : predictors, outcomes, and issues

Technical Factors in Telemedicine Adoption in Extreme Resource-Poor Countries

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