The Usefulness and Feasibility of Mobile Interface in Tuberculosis Notification (MITUN) Voice Based System for Notification of Tuberculosis by Private Medical Practitioners – A Pilot Project

Velayutham, Banurekha; Thomas, Beena; Nair, Dina; Thiruvengadam, Kannan; Prashant, Suma; Kittusami, Sathyapriya; Vijayakumar, Harivanzan; Chidambaram, Meenachi; Shivakumar, Shri Vijay Bala Yogendra; Jayabal, Lavanya; Jhunjhunwala, Ashok; Swaminathan, Soumya

doi:10.1371/journal.pone.0138274

Cited by 16 publications

(20 citation statements)

References 9 publications

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“…Four studies ( Lestari et al, 2017 ; Khan et al, 2012 ; Chadha et al, 2017 ; Pande et al, 2017 ) described data security protocols. Five studies ( Velayutham et al, 2015 ; Choun et al, 2017 ; Khan et al, 2012 ; Chadha et al, 2017 ; Ali et al, 2016 ) described support for replicability. Five studies documented limitation to scale ( Velayutham et al, 2015 ; Choun et al, 2017 ; Lestari et al, 2017 ; Chadha et al, 2017 ; Ali et al, 2016 ).…”

Section: Resultsmentioning

confidence: 99%

A review of mobile health interventions for public private mix in tuberculosis care

Tumuhimbise

Musiimenta

2021

Internet Interventions

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Background The World Health Organization (WHO) recommends the use of mobile health (mHealth) technologies as emerging opportunities to closing the gaps in Tuberculosis (TB) care through enhancing Public Private Mix (PPM). However, little is known about mHealth interventions that have been used for enhancing PPM in TB care, those that worked and those that did not. Objective This review summarizes the published evidence on the utilization and effectiveness of mHealth interventions for public private mix in TB care from literature. Methods Google scholar, PUBMED, IEEE Xplore and ScienceDirect databases were searched for peer reviewed literature from 1st January 2003 to 31st December 2020 for studies about the mHealth interventions for public private mix in TB care. This was guided by the scoping review methodology proposed by Arksey and O′ Malley. In order to assess the quality of the selected studies, mHealth evidence reporting and assessment (mERA) checklist was utilized. Studies that discussed the utilization of mHealth interventions for implementing PPM in TB care were included. Nine studies met the inclusion criteria and were analyzed for review. Results The review found out the application of mHealth in Public Private Mix in TB care through the following ways; 1) TB screening, 2) TB case notification 3) TB treatment adherence 4) data collection and management 5) patient referral and follow up, and 6) education. This resulted into high user experience, significant time reduction in data aggregation, increased case notification and referrals and proactive tracking and provision of follow up care hence reduced treatment and completion gaps. One study yielded suboptimal utilization due to the technical and operational challenges encountered by the healthcare workers. Conclusion Although this scoping review highlights the role of mHealth technologies in enhancing PPM in TB care, its utilization is still limited in African settings. No Africa-based study was identified by this review. Future studies should focus on assessing the utilization of mHealth for PPM in Africa.

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Section: Resultsmentioning

confidence: 99%

A review of mobile health interventions for public private mix in tuberculosis care

Tumuhimbise

Musiimenta

2021

Internet Interventions

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“…(2015) conducted their study among private practitioners whereas in this study, the study population were health workers in public institutions [14].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the Tuberculosis Case Notification System, Mhondoro-Ngezi District, Zimbabwe, 2016

Magande¹,

Chirundu²,

Mungati³

et al. 2017

OJEpi

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Background: Zimbabwe was 17 th among 22 tuberculosis (TB) high burdened countries. In Zimbabwe, the TB case notification system tracks data on case detection and treatment. Mhondoro-Ngezi district was reporting less than half provincial case average of 251 cases per 100,000 population per year. Data were always two weeks late. We evaluated the surveillance system and determined reasons for low notification. Methods: A descriptive cross sectional study was conducted using the updated CDC guidelines. Structured questionnaires, notification registers and forms were used to collect data. Epi Info 7 was used to calculate means and frequencies. Results: All 17 facilities providing TB services were selected. Only two of these were diagnostic centres. Of the 41 health workers, 32 (78%) were nurses. All facilities were notifying and 38 (93%) of health workers had notified cases. Notification forms were available at all facilities and were transported to the district office by government vehicles once completed. Ten minutes on average were needed to complete a form and this was easy for 89% health workers. Data were being analysed at facilities by 83% of health workers and 71% took action after analysis. Feedback from district level was being received by 85% of health workers. The reasons for low notification included: few diagnostic centres, passive case detection and poor community involvement. Conclusions: The TB case notification system was acceptable, simple, representative and useful. Reasons for low notification included: few diagnostic centres, passive case detection and poor community involvement. As a result of this evaluation, a third diagnostic centre is being set up.

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“…The situation is complex in the case of private practitioners as the system requires them to provide patient details from outside the state health system. Limited practitioner time is an important barrier to TB notification and therefore user-friendly interventions, such as mobile based notification, have potential to improve notification, although are constrained by technology and internet access [ 57 ]. In a pilot study of the use of a mobile interface voice-based TB notification system, only 6% of private practitioners were found to use it [ 57 ].…”

Section: Pillar 3: Disease Surveillancementioning

confidence: 99%

Defeating Paediatric Tuberculous Meningitis: Applying the WHO “Defeating Meningitis by 2030: Global Roadmap”

et al. 2021

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Children affected by tuberculous meningitis (TBM), as well as their families, have needs that lie at the intersections between the tuberculosis and meningitis clinical, research, and policy spheres. There is therefore a substantial risk that these needs are not fully met by either programme. In this narrative review article, we use the World Health Organization (WHO) “Defeating Meningitis by 2030: global roadmap” as a starting point to consider key goals and activities to specifically defeat TBM in children. We apply the five pillars outlined in the roadmap to describe how this approach can be adapted to serve children affected by TBM. The pillars are (i) prevention; (ii) diagnosis and treatment; (iii) surveillance; (iv) support and care for people affected by meningitis; and (v) advocacy and engagement. We conclude by calling for greater integration between meningitis and TB programmes at WHO and at national levels.

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The Usefulness and Feasibility of Mobile Interface in Tuberculosis Notification (MITUN) Voice Based System for Notification of Tuberculosis by Private Medical Practitioners – A Pilot Project

Cited by 16 publications

References 9 publications

A review of mobile health interventions for public private mix in tuberculosis care

A review of mobile health interventions for public private mix in tuberculosis care

Evaluation of the Tuberculosis Case Notification System, Mhondoro-Ngezi District, Zimbabwe, 2016

Defeating Paediatric Tuberculous Meningitis: Applying the WHO “Defeating Meningitis by 2030: Global Roadmap”

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