Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study

Latif, Siddique; Rana, Rajib; Qadir, Junaid; Ali, Anwaar; Imran, Muhammad Ali; Younis, Muhammad Shahzad

doi:10.1109/access.2017.2710800

Cited by 142 publications

(74 citation statements)

References 86 publications

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“….2019.07.05 communicated with others(31,32). An individual can regulate access of such personal information through consent.…”

mentioning

confidence: 88%

Consent for mobile phone surveys of non-communicable disease risk factors in low-resource settings: an exploratory qualitative study in Uganda

Mwaka¹,

Nakigudde²,

Ali³

et al. 2019

mHealth

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Background: Lack of data for timely decision-making around the prevention and control of noncommunicable diseases (NCDs) presents special challenges for policy makers, especially in resource-limited settings. New data collection methods, including pre-recorded Interactive Voice Response (IVR) phone surveys, are being developed to support rapid compilation of population-level disease risk factor information in such settings. We aimed to identify information that could be used to optimize consent approaches for future mobile phone surveys (MPS) employed in Uganda and, possibly, similar contexts. Methods:We conducted an in-depth qualitative study with key stakeholders in Uganda about consent approaches, and potential challenges, for pre-recorded IVR NCD risk factor surveys. Semi-structured interviews were conducted with 14 key informants. A contextualized thematic approach was used to interpret the results supported by representative quotes.Results: Several potential challenges in designing consent approaches for MPS were identified, including low literacy and the lack of appropriate ways of assessing comprehension and documenting consent.Communication with potential respondents prior to the MPS and providing options for callbacks were suggested as possible strategies for improving comprehension within the consent process. "Opt-in" forms of authorization were preferred over "opt-out". There was particular concern about data security and confidentiality and how matters relating to this would be communicated to MPS respondents. Conclusions:These local insights provide important information to support optimization of consent for MPS, whose use is increasing globally to advance public health surveillance and research in constructive ways.

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“….2019.07.05 communicated with others(31,32). An individual can regulate access of such personal information through consent.…”

mentioning

confidence: 88%

Consent for mobile phone surveys of non-communicable disease risk factors in low-resource settings: an exploratory qualitative study in Uganda

Mwaka¹,

Nakigudde²,

Ali³

et al. 2019

mHealth

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“…Life expectancy is increasing globally, leading to a higher number of older people in our society (Latif et al, 2018). This increasing share of the elderly population is in part responsible for a shift in the cause of death from infectious and parasitic illnesses to chronic non-communicable diseases (Latif, Qadir, Farooq, & Imran, 2017;Latif, Rana et al, 2017). Ageing can lead to physical limitations that need to be compensated by technical assistance and the help of aged care services.…”

Section: Aged Carementioning

confidence: 99%

Automated screening for distress: A perspective for the future

et al. 2019

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Distress is a complex condition, which affects a significant percentage of cancer patients and may lead to depression, anxiety, sadness, suicide and other forms of psychological morbidity. Compelling evidence supports screening for distress as a means of facilitating early intervention and subsequent improvements in psychological well‐being and overall quality of life. Nevertheless, despite the existence of evidence‐based and easily administered screening tools, for example, the Distress Thermometer, routine screening for distress is yet to achieve widespread implementation. Efforts are intensifying to utilise innovative, cost‐effective methods now available through emerging technologies in the informatics and computational arenas.

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“…Coverage of healthcare services is limited when a country lacks trained healthcare professionals, services and equipment; available resources are not located in proximity; and individuals are unable to afford services due to their high cost [6]. Universal healthcare services are particularly challenging for developing and underdeveloped countries, where health resources and practitioners are in short supply, particularly in rural areas [7]. Universal access to healthcare can be achieved by progressively eliminating the above-mentioned challenges that prevent people from having fair and comprehensive health facilities determined at the national or international level.…”

Section: Lack Of Universal Accessmentioning

confidence: 99%

“…There are 57 countries with a critical shortage of healthcare workers; for instance, Africa has 2.3 health workers per 1000 population as compared to the Americas, which have 24.8 health workers per 1000 population [12]. Similarly, in Pakistan, there is one doctor for 1038 inhabitants [7]. The problem is now becoming more acute, and the world will have an anticipated shortage of 12.9 million healthcare workers by 2035 [13].…”

Section: Resource Constraintsmentioning

confidence: 99%

How 5G Wireless (and Concomitant Technologies) Will Revolutionize Healthcare?

et al. 2017

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Abstract:The need to have equitable access to quality healthcare is enshrined in the United Nations (UN) Sustainable Development Goals (SDGs), which defines the developmental agenda of the UN for the next 15 years. In particular, the third SDG focuses on the need to "ensure healthy lives and promote well-being for all at all ages". In this paper, we build the case that 5G wireless technology, along with concomitant emerging technologies (such as IoT, big data, artificial intelligence and machine learning), will transform global healthcare systems in the near future. Our optimism around 5G-enabled healthcare stems from a confluence of significant technical pushes that are already at play: apart from the availability of high-throughput low-latency wireless connectivity, other significant factors include the democratization of computing through cloud computing; the democratization of Artificial Intelligence (AI) and cognitive computing (e.g., IBM Watson); and the commoditization of data through crowdsourcing and digital exhaust. These technologies together can finally crack a dysfunctional healthcare system that has largely been impervious to technological innovations. We highlight the persistent deficiencies of the current healthcare system and then demonstrate how the 5G-enabled healthcare revolution can fix these deficiencies. We also highlight open technical research challenges, and potential pitfalls, that may hinder the development of such a 5G-enabled health revolution.

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Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study

Cited by 142 publications

References 86 publications

Consent for mobile phone surveys of non-communicable disease risk factors in low-resource settings: an exploratory qualitative study in Uganda

Consent for mobile phone surveys of non-communicable disease risk factors in low-resource settings: an exploratory qualitative study in Uganda

Automated screening for distress: A perspective for the future

How 5G Wireless (and Concomitant Technologies) Will Revolutionize Healthcare?

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