Mobile-based effective vaccine management tool: An m-health initiative implemented by UNICEF in Bihar

Negandhi, Preeti; Chauhan, Monika; Das, Ankan Mukherjee; Neogi, Sutapa Bandyopadhyay; Sharma, Jyoti; Sethy, Ghanashyam

doi:10.4103/0019-557x.195869

Cited by 11 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Medical products and technology were the focus of 11.2% (14/125) of the selected articles, with nearly half relating to eye care [ 114 - 121 ], specifically using remotely operated technological tools for disease diagnosis (n=6) [ 115 , 118 , 122 - 125 ]. One study evaluated patient experience for health monitoring [ 126 ] and another evaluated a mobile-based vaccine management tool [ 127 ].…”

Section: Resultsmentioning

confidence: 99%

Current Status and Future Directions of mHealth Interventions for Health System Strengthening in India: Systematic Review

Bassi¹,

John²,

Praveen³

et al. 2018

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

BackgroundWith the exponential increase in mobile phone users in India, a large number of public health initiatives are leveraging information technology and mobile devices for health care delivery. Given the considerable financial and human resources being invested in these initiatives, it is important to ascertain their role in strengthening health care systems.ObjectiveWe undertook this review to identify the published mobile health (mHealth) or telemedicine initiatives in India in terms of their current role in health systems strengthening. The review classifies these initiatives based on the disease areas, geographical distribution, and target users and assesses the quality of the available literature.MethodsA search of the literature was done to identify mHealth or telemedicine articles published between January 1997 and June 2017 from India. The electronic bibliographic databases and registries searched included MEDLINE, EMBASE, Joanna Briggs Institute Database, and Clinical Trial Registry of India. The World Health Organization health system building block framework was used to categorize the published initiatives as per their role in the health system. Quality assessment of the selected articles was done using the Cochrane risk of bias assessment and National Institutes of Health, US tools.ResultsThe combined search strategies yielded 2150 citations out of which 318 articles were included (primary research articles=125; reviews and system architectural, case studies, and opinion articles=193). A sharp increase was seen after 2012, driven primarily by noncommunicable disease–focused articles. Majority of the primary studies had their sites in the south Indian states, with no published articles from Jammu and Kashmir and north-eastern parts of India. Service delivery was the primary focus of 57.6% (72/125) of the selected articles. A majority of these articles had their focus on 1 (36.0%, 45/125) or 2 (45.6%, 57/125) domains of health system, most frequently service delivery and health workforce. Initiatives commonly used client education as a tool for improving the health system. More than 91.2% (114/125) of the studies, which lacked a sample size justification, had used convenience sampling. Methodological rigor of the selected trials (n=11) was assessed to be poor as majority of the studies had a high risk for bias in at least 2 categories.ConclusionsIn conclusion, mHealth initiatives are being increasingly tested to improve health care delivery in India. Our review highlights the poor quality of the current evidence base and an urgent need for focused research aimed at generating high-quality evidence on the efficacy, user acceptability, and cost-effectiveness of mHealth interventions aimed toward health systems strengthening. A pragmatic approach would be to include an implementation research component into the existing and proposed digital health initiatives to support the generation of evidence for health systems strengthening on strategically important outcomes.

show abstract

Section: Resultsmentioning

confidence: 99%

Current Status and Future Directions of mHealth Interventions for Health System Strengthening in India: Systematic Review

Bassi¹,

John²,

Praveen³

et al. 2018

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…Two studies (and two additional unpublished documents) described variants of an intervention called 'cStock' in Malawi and Rwanda (Chandani 2017; Shieshia 2014). Two studies were implemented in Uganda (Asiimwe 2011; Namisango 2016), one in South Africa (Barron 2016), one in Ethiopia (Atnafu 2017), one in Zambia (Biemba 2017), one in India (Negandhi 2016), and one in Malawi and Ghana (Stanton 2016).…”

Section: Secondary Objectivementioning

confidence: 99%

“…Authors emphasised the role of supportive supervision and responsive management for e ective adoption of a digital system (moderate-certainty evidence; Finding 5; Summary of findings 3). Adequate supervision of the stock notification systems and associated data were identified as vital to successful implementation (Barrington 2010;Negandhi 2016;Shieshia 2014). For example, supervision of district level sta was needed to ensure that the data on stock levels were used, and appropriate corrective action was taken in a timely manner (Shieshia 2014).…”

Section: Programmatic Support a Data Use Supervision And Managementmentioning

confidence: 99%

“…Some of these factors associated with implementation were tied to healthcare workers' and sta members' knowledge and skills, including the extent to which they were familiar with smartphones, comfortable using mobile data services (Stanton 2016), and the extent to which they were given adequate training in using the digital system (Negandhi 2016; Shieshia 2014; moderate-certainty evidence; Finding 6; Summary of findings 3).…”

Section: B Knowledge Skills and Trainingmentioning

confidence: 99%

“…Some authors highlighted the value of training to improve the uptake of the digital intervention, including training of the frontline health workers, such as Health Surveillance Assistants (HSA), who may be involved in sending stock reports (Shieshia 2014), training of support sta , such as cold chain technicians, who might be involved with stock management (Negandhi 2016), and facility workers, who count the stock levels (Barrington 2010;Githinji 2013). Authors suggested that sta should be trained in the composition and use of text messages (Asiimwe 2011; Barrington 2010; Githinji 2013).…”

Section: B Knowledge Skills and Trainingmentioning

confidence: 99%

See 2 more Smart Citations