Evidence map›Paper›PMID 33593359›Full record

ArticleMalaria journal2021

A comprehensive mobile application tool for disease surveillance, workforce management and supply chain management for Malaria Elimination Demonstration Project.

Harsh Rajvanshi, Yashpal Jain, Nidhi Kaintura, Chaitanya Soni, Raja Chandramohan, Ramanathan Srinivasan, Vinay Telasey, Praveen K Bharti, Deepak Jain, Mangeshi Surve and 4 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
10.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 2 countries.

Harsh RajvanshiMalaria Elimination Demonstration Project, Mandla, Madhya Pradesh, India. rajvanshiharsh@gmail.com.ORCID http://orcid.org/0000-0003-2552-4022
Yashpal JainJphiego, Jaipur, Rajasthan, India.
Nidhi KainturaMedtronic, Mumbai, Maharashtra, India.
Chaitanya SoniInformation Technology, Sun Pharmaceutical Industries Ltd, Mumbai, Maharashtra, India.
Raja ChandramohanRheinBrücke IT Consulting, Chennai, Tamil Nadu, India.
Ramanathan SrinivasanSwaas Systems Pvt Ltd, Chennai, Tamil Nadu, India.
Vinay TelaseyMalaria Elimination Demonstration Project, Mandla, Madhya Pradesh, India.
Praveen K BhartiIndian Council of Medical Research-National Institute of Research in Tribal Health (ICMR-NIRTH), Jabalpur, Madhya Pradesh, India.
Deepak JainInformation Technology, Sun Pharmaceutical Industries Ltd, Mumbai, Maharashtra, India.
Mangeshi SurveInformation Technology, Sun Pharmaceutical Industries Ltd, Mumbai, Maharashtra, India.
Sachin SaxenaSwaas Systems Pvt Ltd, Chennai, Tamil Nadu, India.
Vilas GangamwarInformation Technology, Sun Pharmaceutical Industries Ltd, Mumbai, Maharashtra, India.
M S AnandSwaas Systems Pvt Ltd, Chennai, Tamil Nadu, India.
Altaf A LalMalaria Elimination Demonstration Project, Mandla, Madhya Pradesh, India.
Sun Pharma Advanced Research (India) · INBH Consulting (Ireland) · IEIndian Council of Medical Research · INMedtronic (India) · INRajasthan Police Academy · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth care technologies are now offering accountability, quality, robustness, and accuracy in disease surveillance and health care delivery programmes. With the advent of mobile hand-held devices, these technologies have become more accessible and adaptable for use by field staff working in remote areas. The Malaria Elimination Demonstration Project started collection of data and conduct of routine operations using paper-based reporting systems. Observing the need for a robust and quality digital mobile application, a comprehensive mobile application tool was developed that allowed the project to conduct disease surveillance, workforce management and supply chain management.

methodsIn June 2017, the project conceptualized a comprehensive mobile application tool in the local language (Hindi) for disease surveillance, human resources management, and supply chain management. The tool is also available in English. Solution for Community Health-workers (SOCH) mobile app is an android native application developed using android SDK and web-based tool using MVC.net framework. Construction of the application started in November 2017 and rolled out its pilot in April 2018, followed by pan-district roll out in July 2018. The application uses self-validation tools to ensure high level of data quality and integrity.

resultsThe software is available in android based hand-held devices and web-screens with built-in data analytical capabilities. Using SOCH, the project has now successfully digitized its routine surveillance, attendance, tour plans, supply chain management components. The project has documented a reduction in 91% indigenous cases in the district, 60% improvement in stock accountability, and 99.6% accuracy in data collected through the mobile application.

conclusionSOCH is an excellent and user-friendly tool, which can be customized for any public health management programme. The system ensures accountability and data robustness, which is needed for malaria elimination efforts throughout the country. The mobile application can be adapted for English or any other Indian or international language for use for malaria or any other disease surveillance and control programme. Another expansion feature of this mobile application is incorporation of indicators for Indoor Residual Spraying (IRS), Long-Lasting Insecticidal Nets (LLINs), and minor engineering by the residents of community under surveillance. The authors believe that it would be highly desirable and appropriate for an international organization, such as the World Health Organization (WHO), to conduct an independent comparison of all available mobile e-surveillance tools, so that a high-performing and globally suitable system can be selected for use in malaria elimination programmes. The Foundation of Disease Elimination and Controlof India has decided to make the SOCH mobile application available to anyone who would like to use it for disease surveillance and health care programmes.

Indexed as

Epidemiological MonitoringMobile ApplicationsDisease EradicationHumansIndiaMalariaPopulation SurveillanceWorkforce

Identifiers

PMID33593359
PMCPMC7885520
OpenAlexW3130521090

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.