A patient-generated health data adoption framework for diabetes management
: a case study of General Hospital Odan, Lagos State, Nigeria

  • Ikechukwu Celestine Maduka

    Student thesis: Doctoral ThesisDoctor of Philosophy


    Currently, the Nigeria health sector is saddled with a poor health information management system (HIMS), and amongst the numerous deleterious effects of this is the impediment to proper management of chronic diseases in the country. Consequently, there is a need to rethink health interventions that do not rely solely on the government or the hospitals before patients can selfmanage their chronic conditions or communicate with their health care provider outside the hospital environment. This research believes patient-generated health data (PGHD) can help mitigate against some of the health information exchange problems associated with the poor HIMS in Nigeria and demonstrates this by first; investigating (termed PGHD Study-1) patientgenerated health data technology readiness (PGHD-TR) in Lagos State, in order to ascertain the propensity of Lagosians and medical doctors in the State to adopt PGHD. Furthermore, this research investigated the actual use of PGHD by 53 consenting diabetic patients in General Hospital Odan, Lagos. This second investigation was carried out in order to establish the patients' PGHD acceptance model (PGHD-AM) through a structural equation modelling (termed PGHD Study-2).

    From PGHD Study-1, the 1,443 randomly surveyed Lagosians and 47 medical doctors across the 20-local government areas in Lagos State shared technology readiness attribute similar to explorers (technology readiness segmentation). This implied that they were positively predisposed towards accepting PGHD, but with certain degree of concerns. Also, the correlational analysis carried out on the surveyed population showed that age and level of education were the most likely influencers of their propensity to accept PGHD, while gender wasn't. At the end of the 3months duration of PGHD Study-2, there was an observed difference of 1.45% reduction on the 53 diabetic participants HbA1c level. Also, the structural equation model (SEM) analysis carried out revealed that PGHD perceived usefulness, social influence, self-efficacy and patient data security were positive influencers of the participants' PGHD usage behaviour. Overall, their PGHD usage behaviour positively influenced their intention to adopt PGHD. The findings from the two interdependent studies (Study-1 and Study-2) informed on the conceptualisation and development of the PGHD adoption framework for diabetes management before its external validation by 35 domain experts. Finally, the research concludes by identifying areas with significant scope for further research and investigation.
    Date of Award2017
    Original languageEnglish
    Awarding Institution
    • Coventry University
    SupervisorMichael Odetayo (Supervisor), Dianabasi Nkantah (Supervisor) & Alexeis Garcia-Perez (Supervisor)

    Cite this