Knowledge, attitude, and use of mHealth technology among students in Ghana: A university-based survey

BackgroundInterest in mHealth interventions, defined as the use of mobile phones to access healthcare is increasingly becoming popular globally. Given its technology-based applications, university students may be key clients of the mHealth adoption but studies are rare in sub-Saharan Africa. This study provides a snapshot and baseline evidence on knowledge, attitude and use of mHealth among university students in Ghana.MethodsUsing a self-administered questionnaire, we collected data between April and June 2017 from 963 randomly sampled undergraduate students at the Kwame Nkrumah University of Science and Technology (KNUST). Pearson’s Chi-square (χ2) test assessed the differences between variables whilst  logistic regression models estimated the independent predictors of use of mHealth with p < 0.05 as significant.ResultsKnowledge on mHealth was moderately high. Specifically, more than half of the sample reported awareness of mHealth although the prevalence of use of mHealth stood at 51%. Logistic regressions revealed that mHealth use was positively associated with respondents’ year (second year: OR = 1.704, 95% CI: 1.185–2.452, and third year: OR = 1.528, 95% CI: 1.060–2.202), and monthly income (OR:3.112, 95%CI: 1.180-8.211). However, ethnicity [(OR = 0.761, 95% CI (0.580–0.997)] was negatively associated with the use of mHealth technology.ConclusionFindings suggest that knowledge of mHealth among university students is low. Policy and public health interventions for urgent awareness creation and promotion of use of mHealth as well as its possible integration into the mainstream healthcare system in Ghana are timely.

[1]  J. Wilbur,et al.  Computer- and web-based interventions to increase preadolescent and adolescent physical activity: a systematic review. , 2011, Journal of advanced nursing.

[2]  Robert W Snow,et al.  The effect of mobile phone text-message reminders on Kenyan health workers' adherence to malaria treatment guidelines: a cluster randomised trial , 2011, The Lancet.

[3]  Henry Lucas,et al.  E-health and M-Health in Bangladesh: Opportunities and Challenges , 2014 .

[4]  Mpoki Mwabukusi,et al.  Mobile technologies for disease surveillance in humans and animals. , 2014, The Onderstepoort journal of veterinary research.

[5]  J. Dapaah,et al.  Causes of depression among university students and its effects on their academic life in Kwame Nkrumah University of Science and Technology, Kumasi, Ghana , 2019, International Journal for Innovation Education and Research.

[6]  E. Karimuribo,et al.  The Necessity of Mobile Phone Technologies for Public Health Surveillance in Benin , 2016 .

[7]  B. Giraudeau [The cluster-randomized trial]. , 2004, Medecine sciences : M/S.

[8]  Jerilyn K Allen,et al.  Mobile phone interventions to increase physical activity and reduce weight: a systematic review. , 2013, The Journal of cardiovascular nursing.

[9]  Mark Spigt,et al.  Meeting Community Health Worker Needs for Maternal Health Care Service Delivery Using Appropriate Mobile Technologies in Ethiopia , 2013, PloS one.

[10]  Caroline O. Buckee,et al.  Heterogeneous Mobile Phone Ownership and Usage Patterns in Kenya , 2012, PloS one.

[11]  U. Voderholzer,et al.  The Potential of Technology-Based Psychological Interventions for Anorexia and Bulimia Nervosa: A Systematic Review and Recommendations for Future Research , 2015, Journal of medical Internet research.

[12]  Lixin Song,et al.  A Tailored Web-Based Psychoeducational Intervention for Cancer Patients and Their Family Caregivers , 2014, Cancer nursing.

[13]  Pradeep Kumar Ray,et al.  Determinants of readiness to adopt mHealth in a rural community of Bangladesh , 2015, Int. J. Medical Informatics.

[14]  Merrick Schaefer,et al.  Early infant diagnosis of HIV infection in Zambia through mobile phone texting of blood test results. , 2012, Bulletin of the World Health Organization.

[15]  R. Morriss,et al.  Technological innovations in mental healthcare: harnessing the digital revolution , 2015, British Journal of Psychiatry.

[16]  Garrett Mehl,et al.  H_pe for mHealth: More "y" or "o" on the horizon? , 2013, Int. J. Medical Informatics.

[17]  Aziz Sheikh,et al.  Internet-based interventions for smoking cessation. , 2013, The Cochrane database of systematic reviews.

[18]  Fanjasoa Rakotomanana,et al.  Short message service sentinel surveillance of influenza-like illness in Madagascar, 2008-2012. , 2012, Bulletin of the World Health Organization.

[19]  H. Lucas Information and communications technology for future health systems in developing countries. , 2008, Social science & medicine.

[20]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..

[21]  G. Bloom,et al.  Future health systems: Why future? Why now? , 2008, Social science & medicine.

[22]  Clayton M. Christensen,et al.  The Innovator's Prescription: A Disruptive Solution for Health Care , 2008 .

[23]  R. Whittaker,et al.  Mobile phone-based interventions for smoking cessation , 2010, The Cochrane database of systematic reviews.

[24]  D. Adler The Innovators Prescription A Disruptive Solution For Health Care , 2016 .

[25]  Alexander P. Cotter,et al.  Internet interventions to support lifestyle modification for diabetes management: a systematic review of the evidence. , 2014, Journal of diabetes and its complications.

[26]  Heleen Riper,et al.  Internet and Computer-Based Cognitive Behavioral Therapy for Anxiety and Depression in Youth: A Meta-Analysis of Randomized Controlled Outcome Trials , 2015, PloS one.

[27]  H. Cole-Lewis,et al.  Text messaging as a tool for behavior change in disease prevention and management. , 2010, Epidemiologic reviews.

[28]  Gary L. Kreps,et al.  eHealth communication and behavior change: promise and performance , 2010 .

[29]  B. Holtz,et al.  Diabetes management via mobile phones: a systematic review. , 2012, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[30]  Bruce A. Larson,et al.  Costs and Cost-Effectiveness of a Mobile Phone Text-Message Reminder Programmes to Improve Health Workers' Adherence to Malaria Guidelines in Kenya , 2012, PloS one.

[31]  P. Katzmarzyk,et al.  The physical activity transition. , 2009, Journal of physical activity & health.

[32]  Larissa Jennings,et al.  Disparities in mobile phone access and maternal health service utilization in Nigeria: A population-based survey , 2015, Int. J. Medical Informatics.

[33]  Derek Richards,et al.  Computer-based psychological treatments for depression: a systematic review and meta-analysis. , 2012, Clinical psychology review.

[34]  Robert W Snow,et al.  Ownership and use of mobile phones among health workers, caregivers of sick children and adult patients in Kenya: cross-sectional national survey , 2013, Globalization and Health.

[35]  Mario Baum Basic Statistical Analysis , 2016 .

[36]  Pradeep Kumar Ray,et al.  Community readiness for adopting mHealth in rural Bangladesh: A qualitative exploration , 2016, Int. J. Medical Informatics.

[37]  L Suzanne Suggs,et al.  SMS for disease control in developing countries: a systematic review of mobile health applications , 2012, Journal of telemedicine and telecare.

[38]  Kathleen Dracup,et al.  A text messaging intervention to promote medication adherence for patients with coronary heart disease: a randomized controlled trial. , 2014, Patient education and counseling.

[39]  Nneka Emenyonu,et al.  Real-Time Adherence Monitoring for HIV Antiretroviral Therapy , 2010, AIDS and Behavior.