Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/5426
Title: Building a contemporary model for integrating digital technologies to improve mental health services and wellbeing in public healthcare system in Nigeria
Authors: Fashoto, Olubumni 
Keywords: Mental Health;Wellbeing;Digital technologies;Healthcare professionals (HCPs)
Issue Date: Oct-2023
Abstract: 
Background
The world is constantly experiencing the outbreak of infectious diseases, social
unrest and insurgencies in some areas. The World Health Organization (WHO),
together with other regulatory authorities, imposed movement restrictions
(locally, regionally and internationally) and other preventative measures to
alleviate the catastrophic impact of the coronavirus disease (COVID-19). The
practice of using digital health technologies to provide mental health services
has been generally abysmal; however, with the lockdown and restrictions of
movement and physical meetings, it became necessary to adapt and utilize
available digital technologies to provide mental health services. Meanwhile,
prior to the COVID-19 lockdown in most African countries, mental healthcare
services were basically provided through physical meetings of patients with
their therapists and psychiatrists for various therapeutic and medical care
services. The introduction of digital technology to mental health services
presents unprecedented opportunities to provide mental health care services
remotely to the affected populace. Advancement in information and
communication technology is positively changing the way people interact and
accomplish tasks across almost every sector of human endeavour and
particularly, the health sector. This can circumvent existing delays in accessing
mental health services, and the shortage of healthcare professionals, while
supporting remote counselling and consultation and improving timely mental
health care response between doctors and patients in case of social distancing
measures. This is crucial for Nigeria, and other low- and middle-income
countries, in order to manage and mitigate the emerging public mental health
crisis caused by the outbreak of infectious diseases, social unrests and
insurgencies. Aim
The aim of this study was to develop a contemporary model for integrating
digital health technologies to improve mental health services and wellbeing in
the public healthcare system.
Methodology
The study was guided by two theoretical frameworks; the Health Belief Model
(HBM) and Unified Theory of Acceptance and Use of Technology (UTAUT)
model. The study adopted mixed-method convergent design to gain
participants’ viewpoints on the study. A purposive sampling technique
employing the snowball method was utilized in selecting participants for
qualitative study, while the proportional stratified sampling method utilizing
probability proportion to size (PPS) technique was adopted in selecting
participants for the quantitative study to increase the chances of equal
representation. Questionnaires were distributed to three hundred and
seventeen (317) Healthcare professionals, selected from four psychiatric
Hospitals in South-West Nigeria. A total of 16 participants from the four selected
psychiatric hospitals participated in the interview. Descriptive analysis and
Structural Equation Modelling (SEM) were computed on quantitative data while
thematic analysis was employed to analyse qualitative data in the formulation
of themes and sub-themes. The result from both analyses was triangulated to
provide an overall picture of the study.
Findings
The study found several challenges with the provision of adequate and efficient
services in public mental healthcare facilities in Nigeria, such as human
resource challenges, brain drain, lack of infrastructure and strains on
Healthcare professionals (HCPs). Findings from the study indicated that digital
technologies are sparingly utilized in public mental healthcare service delivery
due to lack of policy and framework. HCPs perceive digital technologies to be
beneficial to themselves and their clients. The highlighted benefit to patients
reduces levels of stigmatization, decreases the financial burden, enhances easy accessibility to therapists, strengthens adherence, mitigates relapse
incidences and improves timely intervention. However, HCPs are concerned
that the integration of digital technologies with mental health service delivery
may prompt unwanted access, compromise patient data security and also,
erratic power supply and network challenges could hamper smooth online
therapy sessions. However, the integration of digital technologies in public
healthcare can improve the delivery of mental health services remotely, on a
wide scale, and most importantly can mitigate the impact of pandemic
outbreaks and other health emergencies.
Conclusion
Findings from the study showed HCPs’ knowledge, perception of digital tools,
challenges and barriers to the adoption and utilization of digital tools. The
findings aid the development of a model that integrates digital technologies into
public mental healthcare to improve service delivery in Nigeria. Transition from
traditional/conventional space of mental healthcare service delivery to digital
space requires a collaborative approach with Computer scientists (i.e. software
developers and database administrators), Data scientists, investors,
stakeholders and mental healthcare professionals. The proposed model serves
as a contemporary framework that Government, policy makers in the Ministry
of Health and Management of mental health facilities in Nigeria can adopt which
will provide the needed awareness of the benefit of technological intervention.
Furthermore, the model can be utilized to revise the existing policies and
Standard Operating Procedures in public mental health sector.
Description: 
Thesis submitted in fulfilment of the requirements for the Philosophiae Doctor in Health Sciences in the Faculty of Health Sciences at the Durban University of Technology, Durban, South Africa, 2024.
URI: https://hdl.handle.net/10321/5426
DOI: https://doi.org/10.51415/10321/5426
Appears in Collections:Theses and dissertations (Health Sciences)

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