Evidence map›Paper›PMID 34998397›Full record

ArticleMalaria journal2022

Monitoring of the Village Malaria Workers to conduct activities of Malaria Elimination Demonstration Project in Mandla, Madhya Pradesh.

Harsh Rajvanshi, Praveen K Bharti, Ravendra K Sharma, Sekh Nisar, Kalyan B Saha, Himanshu Jayswar, Ashok K Mishra, Aparup Das, Harpreet Kaur, Altaf A Lal

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 9 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

10 authors at 6 institutions in 3 countries.

Harsh Rajvanshi *Malaria Elimination Demonstration Project, Mandla, Madhya Pradesh, India.ORCID http://orcid.org/0000-0003-2552-4022
Praveen K BhartiIndian Council of Medical Research-National Institute of Research in Tribal Health (ICMR-NIRTH), Jabalpur, Madhya Pradesh, India.
Ravendra K SharmaIndian Council of Medical Research-National Institute of Medical Statistics (ICMR-NIMS), New Delhi, India.
Sekh NisarMalaria Elimination Demonstration Project, Mandla, Madhya Pradesh, India.
Kalyan B SahaIndian Council of Medical Research-National Institute of Research in Tribal Health (ICMR-NIRTH), Jabalpur, Madhya Pradesh, India.
Himanshu JayswarDirectorate of Health Services, Government of Madhya Pradesh, Bhopal, India.
Ashok K MishraIndian Council of Medical Research-National Institute of Research in Tribal Health (ICMR-NIRTH), Jabalpur, Madhya Pradesh, India.
Aparup DasIndian Council of Medical Research-National Institute of Research in Tribal Health (ICMR-NIRTH), Jabalpur, Madhya Pradesh, India.
Harpreet KaurIndian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India.
Altaf A LalMalaria Elimination Demonstration Project, Mandla, Madhya Pradesh, India. altaf.lal@gmail.com.
Indian Council of Medical Research · INAfrican Leaders Malaria Alliance · USChaudhary Charan Singh University · INFoundation for Medical Research · INGovernment of Uttar Pradesh · INVector & Vector-Borne Diseases Research Institute · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe capacity of the field staff to conduct activities related to disease surveillance, case management, and vector control has been one of the key components for successfully achieving malaria elimination. India has committed to eliminate malaria by 2030, and it has placed significance on monitoring and evaluation at the district level as one of the key strategies in its national framework. To support and guide the country's malaria elimination objectives, the Malaria Elimination Demonstration Project was conducted in the tribal district of Mandla, Madhya Pradesh. Robust monitoring of human resources received special attention to help the national programme formulate a strategy to plug the gaps in its supply chain and monitoring and evaluation systems.

methodsA monitoring tool was developed to test the capabilities of field workers to conduct activities related to malaria elimination work. Between November 2018 to February 2021, twenty-five Malaria Field Coordinators (MFCs) of the project utilized this tool everyday during the supervisory visits for their respective Village Malaria Workers (VMWs). The data was analysed and the scores were tested for variations against different blocks, educational status, duration of monitoring, and post-training scores.

resultsDuring the study period, the VMWs were monitored a total of 8974 times using the monitoring tool. Each VMW was supervised an average of 1.8 times each month. The critical monitoring indicators scored well in all seven quarters of the study as monitored by the MFCs. Monitoring by MFCs remained stable at 97.3% in all quarters. Contrary to expectations, the study observed longer diagnosis to treatment initiation time in urban areas of the district.

conclusionThis study demonstrated the significance of a robust monitoring tool as an instrument to determine the capacity of the field workers in conducting surveillance, case management, and vector control related work for the malaria elimination programme. Similar tools can be replicated not only for malaria elimination, but other public health interventions as well.

Indexed as

Epidemiological MonitoringCase ManagementDisease EradicationHumansIndiaMalariaMosquito ControlPublic HealthWorkforceMalaria eliminationMonitoring checklistOperational accountabilityProgramme management

Identifiers

PMID34998397
PMCPMC8742915
OpenAlexW4205449452

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.