Leveraging mobile health technology towards Achieving Universal Health Coverage in Nigeria

Babatunde, Akintunde; Abdulkareem, Ahmad Abdullateef; Akinwande, Foluso Olugbenga; Adebayo, Aminat Olaitan; Omenogor, Ebelechukwu Tabitha; Adebisi, Yusuff Adebayo; Ilesanmi, Esther Bosede

doi:10.1016/j.puhip.2021.100120

Cited by 16 publications

(7 citation statements)

References 15 publications

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“… 125 , 126 Leveraging technology can enable bridging the gaps towards attainment of UHC in low and middle-income countries. 127 Additionally, inter-sectoral coordination with a “health in all” approach, and equitable distribution of resources for health and development are essential achieving UHC in face of the challenges of economic inequities, global uncertainty, antimicrobial resistance, and climate change. 75 , 128 In India, campaigns like “Eat right India”, “Fit India”, “Poshan Abhiyan”, integration of digital health technologies through “Ayushman Bharat Digital Mission” and launch of “National Programme on Climate Change & Human Health” provide an opportunity for inter-sectoral coordination.…”

Section: Methodsmentioning

confidence: 99%

Achieving Universal Health Coverage in Low- and Middle-Income Countries: Challenges for Policy Post-Pandemic and Beyond

Kodali¹

2023

RMHP

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Background Achieving universal health coverage (UHC) is critical for ensuring equity, improving health, and protecting households from financial catastrophe. The COVID-19 pandemic derailed the progress made across primary health targets. This article aims to review the policy challenges to achieve UHC in a post-pandemic world. Methods A narrative review of 118 peer reviewed and grey literature was conducted. A total of 77 published articles were identified using an electronic search in PubMed and Scopus and a bibliographic search of relevant literature. Another 41 Reports, websites, blogs, news articles, and data were manually sourced from international agencies (WHO, World Bank, IMF, FAO, etc.), government agencies, and non-government organizations. Findings The challenges were identified and discussed under five broad findings: i) weak public health care systems ii) challenges to building resilient health systems, iii) health care financing and financial risk protection, iv) epidemiological and demographic challenges, and v) governance and leadership. Conclusion LMICs in Africa and South Asia face significant challenges to achieving UHC by 2030. As countries recover from the pandemic’s aftermath, significant investments and innovations are needed to ensure progress toward UHC. Efficient resource mobilization through internal accruals, international cooperation, and resource sharing is needed.

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Section: Methodsmentioning

confidence: 99%

Achieving Universal Health Coverage in Low- and Middle-Income Countries: Challenges for Policy Post-Pandemic and Beyond

Kodali¹

2023

RMHP

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“…With the impact of COVID-19 highlighting its importance, Bassi et al, (2020) assert that it was helpful during the pandemic in facilitating connection between patient and doctors. It is becoming useful in various ways such as delivery and accessing healthcare services and information (Quaosar et al, 2018), and promotion of patient care and accessibility in a cost-effective way (Babatunde et al, 2021). Though mHealth is in developmental stage, it promotes communication and feedback between the user parties given its collaborative and mobility feature (Nachandiya et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…During the COVID-19 pandemic mHealth technologies were useful in accessing quality health information and services (Eduoh, 2020). Some of these mobile health apps that were very useful and has gained increasing downloads are mobicure, hudibia, safermom (Babatunde et al, 2021) and mobile authentication service that facilitates control of sale of fake and sub-standardised drugs (Oyetunde et al, 2019). They are not really replacing the traditional physical consulting rather it is a facilitative innovation, supportive, complementary and useful means to mitigate the rising challenge in healthcare (Nachandiya et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Though some successes have been recorded with its usage in Nigeria, issues such as unsustainable funding, business model that is unsuitable, and challenges associated with fragmentation hinder deepening processes of mHealth (Ohuruogu et al, 2015). Other challenges associated with mHealth adoption are non recognition of mHealth in eHealth policies in addressing the gap on health issues, and potential promotion of health inequality upon full adoption particularly among the disadvantage members in the country (Babatunde et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the uniqueness of mHealth has led to more focus on the innovation in assessing its usefulness and contribution to healthcare delivery (Zhao et al, 2018). Several studies on mHealth in Nigeria have tried to broaden the concept, policies and its application because of its novelty (Nachandiya et al, 2020;Babatunde et al, 2021;Ohuruogu et al, 2015). However, a few studies have explored the patient-centric perspective (as end-users) from a multi-group dimension (gender).…”

Section: Introductionmentioning

confidence: 99%

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Factors motivating end-users’ behavioural intention to recommend m-health innovation: multi-group analysis

Oloveze

Ugwu

Okeke

et al. 2022

HEM

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mHealth innovation is health innovation that is gaining adoption in developing countries. The COVID-19 impact and the brain drain of health practitioners in Nigeria are indicating higher importance of the innovation. However, while the literatures on adoption are rising there is paucity of literature on intention to recommend mHealth innovation particularly with gender context. The study considered determinants of end-users’ behavioural intention to recommend mHealth innovation by considering multi-group analysis. Theory of reasoned action was modified with variables from health belief model and unified theory of acceptance and use of innovation to structure the intention to recommend mHealth model. Structured questionnaire with adapted items from extant studies were scaled on 7 point likert scale while snowball sampling technique was adopted in data collection. A total of 291 questionnaires were used in the analysis which was done through IBM Statistics version 23 and AMOS 23. The study used descriptive statistics, structural equation model and an invariant analysis to check the difference between the groups. The model showed good fit using a set of fit indices and coefficient of codetermination that indicates high predictive capacity. The SEM analysis show that subjective norm is the most vital factor that influences end-users’ intention to recommend mHealth innovation to others. Generally, it indicates that male users have higher intention to recommend mHealth innovation than female users of mHealth innovation. The result of the analysis also show that the correlations between the exogenous factors are positive and at least moderate across gender thus indicating the direction for adoption of marketing communication strategies to deepen the awareness of the innovation and encourage recommendation to others. The recommendation suggested center on marketing communication strategies that involves use of role models, influencers, celebrities, health practitioners and other referents to encourage the awareness and intention to recommend the innovation. The key limitation of the study is on sample size and the use of cross-sectional survey design which could pose danger in generalisation of the findings. However, it is concluded in the study that male users of mHealth innovation have higher intention to recommend the innovation than the female users of the innovation.

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The development of an instrument to predict patients’ adoption of mHealth in the developing world

Addotey-Delove

Scott

Mars

2022

Informatics in Medicine Unlocked

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Leveraging mobile health technology towards Achieving Universal Health Coverage in Nigeria

Cited by 16 publications

References 15 publications

Achieving Universal Health Coverage in Low- and Middle-Income Countries: Challenges for Policy Post-Pandemic and Beyond

Achieving Universal Health Coverage in Low- and Middle-Income Countries: Challenges for Policy Post-Pandemic and Beyond

Factors motivating end-users’ behavioural intention to recommend m-health innovation: multi-group analysis

The development of an instrument to predict patients’ adoption of mHealth in the developing world

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