Evidence map›Paper›PMID 35804345›Full record

ArticleBMC health services research2022

Evaluation of COVID-19 ECHO training program for healthcare workers in India - A Mixed-Method Study.

Rajmohan Panda, Nivedita Mishra, Supriya Lahoti, Rajath R Prabhu, Arti Mishra, Kalpana Singh, Kumud Rai

Open access · goldAbstract read
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Article in BMC health services research, 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
3.1field-weighted citation impact, top 9% 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, 16 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

7 authors at 1 institution in 1 country.

Rajmohan PandaJodhpur School of Public Health, Pal link road, Jodhpur, India.
Nivedita MishraExtension for Community Healthcare Outcomes (ECHO) India, Okhla phase III, New Delhi, India. Nivedita.048@gmail.com.
Supriya LahotiExtension for Community Healthcare Outcomes (ECHO) India, Okhla phase III, New Delhi, India.
Rajath R PrabhuExtension for Community Healthcare Outcomes (ECHO) India, Okhla phase III, New Delhi, India.
Arti MishraExtension for Community Healthcare Outcomes (ECHO) India, Okhla phase III, New Delhi, India.
Kalpana SinghHamad Medical Corporation, Doha, Qatar.
Kumud RaiExtension for Community Healthcare Outcomes (ECHO) India, Okhla phase III, New Delhi, India.
Hamad Medical Corporation · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Coronavirus Disease 2019 (COVID-19) has severely challenged healthcare delivery systems worldwide. Healthcare Workers were unable to assess and manage the cases due to limited knowledge of treating the virus and inadequate infrastructure. Digital interventions played a crucial role in the training of healthcare workers to get through the pandemic. Project Extension for Community Healthcare Outcomes (ECHO) initiated the COVID-ECHO telementoring program for strengthening the knowledge and skills of healthcare workers. The study aimed at assessing the effects of the ECHO telementoring model in the capacity building of healthcare workers in the context of COVID-19 in India.

methodWe adopted a mixed-method approach with a parallel combination design. A quantitative survey was used to measure changes in the knowledge and self-efficacy among doctors and nurses. In-depth Interviews were used for qualitative exploration of perceptions and experiences of all the study participants. Student t-test and ANOVA were used to assess significant differences between mean scores across participant characteristics for different themes. Statistical significance was set at p < 0.05. In-depth Interviews were analyzed using Framework Analysis. The evaluation followed the first five levels of Moore's model.

resultsThe results highlighted the strengthening of knowledge and skills of healthcare workers in the assessment and management of COVID-19 after the ECHO training. Learning and performance ratings were high as 96% reported an increase in knowledge and 98% were able to apply it in their clinical practices. The key challenges identified were technical issues like internet connectivity and lack of interaction due to limited visual connection. The hybrid sessions, use of video camera, feedback mechanism, and inclusion of Continuing Medical Education were recommended by participants to improve the model.

conclusionsThe findings of this study are an important addition to the pre-existing literature supporting the replicability of the ECHO model in the upskilling of healthcare professionals working in underserved and remote areas, not only in the context of COVID-19 but also in other public health domains. To enhance the effectiveness of this ECHO model, the study findings may be used to refine the model and improve the areas of concern.

Indexed as

COVID-19Delivery of Health CareEducation, Medical, ContinuingHealth PersonnelHumansPandemicsCapacity buildingCOVID-19ECHO TelementoringHealthcare workersMixed-method study

Identifiers

PMID35804345
PMCPMC9264289
OpenAlexW4284898528

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.