Evidence map›Paper›PMID 39113002›Full record

ArticleBMC health services research2024

Assessing the impact of COVID-19 management on the workload of human resources working in India's National Tuberculosis Elimination Program.

Christina Mergenthaler, Aarushi Bhatnagar, Di Dong, Vimal Kumar, Chantale Lakis, Ronald Mutasa, Shankar Dapkekar, Agrima Sahore, Sapna Surendran, Gyorgy Fritsche and 2 more

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

12 authors.

Christina MergenthalerKIT Royal Tropical Institute, Amsterdam, The Netherlands. c.mergenthaler@kit.nl.
Aarushi BhatnagarThe World Bank Group, Washington D.C, USA.
Di DongThe World Bank Group, Washington D.C, USA.
Vimal KumarOxford Policy Management, New Delhi, India.
Chantale LakisKIT Royal Tropical Institute, Amsterdam, The Netherlands.
Ronald MutasaThe World Bank Group, Washington D.C, USA.
Shankar DapkekarOxford Policy Management, New Delhi, India.
Agrima SahoreOxford Policy Management, New Delhi, India.
Sapna SurendranThe World Bank Group, Washington D.C, USA.
Gyorgy FritscheThe World Bank Group, Washington D.C, USA.
Kuldeep Singh SachdevaThe International Union Against Tuberculosis and Lung Disease (South East Asia), New Delhi, India.
Marjolein DielemanKIT Royal Tropical Institute, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 1993, WHO declared tuberculosis (TB) as a global health emergency considering 10 million people are battling TB, of which 30% are undiagnosed annually. In 2020 the COVID-19 pandemic took an unprecedented toll on health systems in every country. Public health staff already engaged in TB control and numerous other departments were additionally tasked with managing COVID-19, stretching human resource (HR) capacity beyond its limits. As part of an assessment of HR involved in TB control in India, The World Bank Group and partners conducted an analysis of the impact of COVID-19 on TB human resources for health (HRH) workloads, with the objective of describing the extent to which TB-related activities could be fulfilled and hypothesizing on future HR requirements to meet those needs.

methodsThe study team conducted a Workload Indicators and Staffing Needs (WISN) analysis according to standard WHO methodology to classify the workloads of priority cadres directly or indirectly involved in TB control activities as over-, adequately or under-worked, in 18 districts across seven states in India. Data collection was done via telephone interviews, and questions were added regarding the proportion of time dedicated to COVID-19 related tasks. We carried out quantitative analysis to describe the time allocated to COVID-19 which otherwise would have been spent on TB activities. We also conducted key informant interviews (KII) with key TB program staff about HRH planning and task-shifting from TB to COVID-19.

resultsWorkload data were collected from 377 respondents working in or together with India's Central TB Division (CTD). 73% of all respondents (n = 270) reported carrying out COVID-19 tasks. The average time spent on COVID-19 tasks was 4 h / day (n = 72 respondents). Multiple cadres highly instrumental in TB screening and diagnosis, in particular community outreach (ASHA) workers and CBNAAT/TrueNAAT laboratory technicians working at peripheral, block and district levels, were overworked, and spending more than 50% of their time on COVID-19 tasks, reducing time for TB case-finding. Qualitative interviews with laboratory technicians revealed that PCR machines previously used for TB testing were repurposed for COVID-19 testing.

conclusionsThe devastating impact of COVID-19 on HR capacity to conduct TB case-finding in India, as in other settings, cannot be overstated. Our findings provide clear evidence that NTEP human resources did not have time or essential material resources to carry out TB tasks during the COVID pandemic without doing substantial overtime and/or compromising on TB service delivery. To minimize disruptions to routine health services such as TB amidst future emerging infectious diseases, we would do well, during periods of relative calm and stability, to strategically map out how HRH lab staff, public health resources, such as India's Health and Wellness Centers and public health cadre, and public-private sector collaboration can most optimally absorb shocks to the health system.

Indexed as

COVID-19SARS-CoV-2TuberculosisWorkloadHealth PersonnelHealth WorkforceHumansIndiaPandemicsCOVID-19Human resources for healthTuberculosis

Identifiers

PMID39113002
PMCPMC11308665

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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.