Keeping secrets in the cloud: Mobile phones, data security and privacy within the context of pregnancy and childbirth in Tanzania

Hackett, Kristy; Kazemi, Mina; Sellen, Daniel

doi:10.1016/j.socscimed.2018.06.014

Cited by 29 publications

(39 citation statements)

References 20 publications

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“…Implementation of mHealth by community health care providers Table 3 present the elements used to map the HCPs ICAMO in Figure 3, which shows an explanatory model of how and why HCPs implement mHealth interventions appropriately (or/not). The second relevant aspect of mHealth interventions relates to their ability to offer a data collection, data security and management platform within the system (I) [19,47,[49][50][51]. The importance of data collection, data security and management is in uenced by the organisation of the health system, HCPs' training, supervision, support and mobilisation, availability of HCPs in the community, and availability of resources (C) [47,49].…”

Section: Resultsmentioning

confidence: 99%

“…The mHealth intervention also offers a consultation platform with HCPs (I) [19,43]. Consultation platform with HCPs is in uenced by socio-cultural practices, norms, political clout, technical aspects of mobile phone services, community buy-in, and socioeconomic status (C).…”

Section: Resultsmentioning

confidence: 99%

“…Consultation platform with HCPs is in uenced by socio-cultural practices, norms, political clout, technical aspects of mobile phone services, community buy-in, and socioeconomic status (C). The consultation platform with HCPs motivates pregnant women and mothers (M+) and improve their health-seeking behaviour (O+) [19,43].…”

Section: Resultsmentioning

confidence: 99%

“…mHealth has shown to improve health education, facilitate service utilisation, increase clinic attendance, and promote health-seeking behaviour [12,17]. mHealth also supports regular immunisation and exclusive breastfeeding by targeting behavioural change [7,[18][19][20].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Explaining the impact of mHealth on maternal and child health care in low- and middle-income countries: A theory-driven scoping review

Kabongo¹,

Mukumbang²,

N³

et al. 2020

Preprint

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Abstract Introduction Despite the growing global application of mobile health (mHealth) technology in maternal and child health, the contextual factors and mechanisms by which interventional outcomes are generated have not been subjected to extensive review. In this study, we sought to identify context, mechanisms and outcome elements from implementation and evaluation studies of mHealth interventions to formulate theories or models explicating how mHealth interventions work (or not) both for health care providers and for pregnant women and new mothers.Method An electronic search of six online databases (Medline, Pubmed, Google Scholar, Scopus, Academic Search Premier and Health Systems Evidence) was performed. Using appropriate MeSH terms and selection procedure, 32 articles were considered for analysis. A theory-driven approach, narrative synthesis, was applied to synthesise the data. Thematic content analysis was used to delineate the elements of the intervention, including its context, actors, mechanism and outcomes. Retroduction was applied to link these elements using a realist evaluation heuristic to form generative theories.Results Mechanisms that promote the implementation of mHealth by community health workers/health care providers include motivation, perceived skill and knowledge improvement, improved self-efficacy, improved confidence, improved relationship between community health workers and clients, perceived support of community health workers, perceived ease of use and usefulness of mHealth, For pregnant women and new mothers, mechanisms that trigger the uptake of mHealth and use of maternal and child health services included: perceived service satisfaction, perceived knowledge acquisition, support and confidence, improved self-efficacy, encouragement, empowerment and motivation. Information overload was identified as a potential negative mechanism for the uptake of maternal and child health services.Conclusion The models developed in this study provide a detailed understanding of the implementation and uptake of mHealth interventions and how they improve maternal and child health services in low and middle income countries. These models provide a foundation for the ‘white box’ or theory-driven evaluation of mHealth intervention and can improve the rollout and implementation where required.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Explaining the impact of mHealth on maternal and child health care in low- and middle-income countries: A theory-driven scoping review

Kabongo¹,

Mukumbang²,

N³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…mHealth has shown to improve health education, facilitate service utilisation, increase clinic attendance, and promote health-seeking behaviours [10,15]. mHealth also supports regular immunisation and exclusive breastfeeding by targeting behaviour change [7,[16][17][18]. mHealth interventions, however, take different forms, which complicates the ability of programme implementers to replicate findings across socio-demographic and geographical boundaries.…”

Section: Introductionmentioning

confidence: 99%

Explaining the impact of mHealth on maternal and child health care in low- and middle-income countries: A theory-driven scoping review

Kabongo

Mukumbang

Delobelle

et al. 2019

Preprint

View full text Add to dashboard Cite

Introduction Despite the growing global application of mobile health (mHealth) technology in maternal and child health, the contextual factors and mechanisms by which interventional outcomes are generated have not been subjected to extensive review. In this study, we sought to identify context, mechanisms and outcome elements from implementation and evaluation studies of mHealth interventions to formulate theories or models explicating how mHealth interventions work (or not) both for health care providers and for pregnant women and new mothers.Method An electronic search of six online databases (Medline, Pubmed, Google Scholar, Scopus, Academic Search Premier and Health Systems Evidence) was performed. Using appropriate MeSH terms and selection procedure, 32 articles were considered for analysis. A theory-driven approach, narrative synthesis, was applied to synthesise the data. Thematic content analysis was used to delineate the elements of the intervention, including its context, actors, mechanism and outcomes. Retroduction was applied to link these elements using a realist evaluation heuristic to form generative theories.Results Mechanisms that promote the implementation of mHealth by community health workers/health care providers include motivation, perceived skill and knowledge improvement, improved self-efficacy, improved confidence, improved relationship between community health workers and clients, perceived support of community health workers, perceived ease of use and usefulness of mHealth, For pregnant women and new mothers, mechanisms that trigger the uptake of mHealth and use of maternal and child health services included: perceived service satisfaction, perceived knowledge acquisition, support and confidence, improved self-efficacy, encouragement, empowerment and motivation. Information overload was identified as a potential negative mechanism for the uptake of maternal and child health services.Conclusion The models developed in this study provide a detailed understanding of the implementation and uptake of mHealth interventions and how they improve maternal and child health services in low and middle income countries. These models provide a foundation for the ‘white box’ or theory-driven evaluation of mHealth intervention and can improve the rollout and implementation where required.

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Health workers’ perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis

Odendaal

Watkins

Leon

et al. 2020

Cochrane Database of Systematic Reviews

213

198

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Keeping secrets in the cloud: Mobile phones, data security and privacy within the context of pregnancy and childbirth in Tanzania

Cited by 29 publications

References 20 publications

Explaining the impact of mHealth on maternal and child health care in low- and middle-income countries: A theory-driven scoping review

Explaining the impact of mHealth on maternal and child health care in low- and middle-income countries: A theory-driven scoping review

Explaining the impact of mHealth on maternal and child health care in low- and middle-income countries: A theory-driven scoping review

Health workers’ perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis

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