Evidence map›Paper›PMID 40486284›Full record

ArticleTobacco induced diseases2025

Development of an extended full-time equivalent framework: A workforce metric for the beedi rolling industry in India.

Eshwari Kundangar, Muralidhar M Kulkarni, Yash Alok, Ambigai Rajendran, Satish Kumar, Praveen Kumar, Priyanka Bantwal, Rohith Bhagawath, Ashwath Naik, Praveen Sinha and 1 more

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Extension of Occupational Safety and Health Measures for the Protection of Beedi Workers in India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
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

11 authors.

Eshwari KundangarDepartment of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
Muralidhar M KulkarniDepartment of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
Yash AlokDepartment of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
Ambigai RajendranManipal School of Commerce and Economics, Manipal Academy of Higher Education, Manipal, India.
Satish KumarManipal School of Commerce and Economics, Manipal Academy of Higher Education, Manipal, India.
Praveen KumarManipal School of Commerce and Economics, Manipal Academy of Higher Education, Manipal, India.
Priyanka BantwalDepartment of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
Rohith BhagawathDepartment of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
Ashwath NaikDirectorate of Research, Manipal Academy of Higher Education, Manipal, India.
Praveen SinhaTobacco Control, World Health Organization Country Office, New Delhi, India.
Mark GoodchildWorld Health Organization, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionIndia's significant role in the global tobacco industry is underscored by its position as the second largest producer and consumer. Among the various tobacco products, beedis are the most popular in South Asia. These small, thin, hand-rolled cigarettes are wrapped in leaves from native Asian plants and are a traditional form of tobacco consumption in the region. For many women in regions like coastal Karnataka, beedi rolling is a primary occupation and a vital source of income. Labor unions estimate that there are around 7-8 million people in the beedi industry across India, with around 5.5 million registered workers nationwide.

methodsA mixed-method approach was initially used to finalize the parameters required for calculating the full-time equivalent (FTE), which comprised expert opinion, scoping review, and focus group discussions among beedi rollers. A 14-item questionnaire was developed, and four experts validated readability, relevance, and clarity in both the local language (Kannada) and English. Content validity was measured using the item-content validity index (I-CVI) and scale content validity index (S-CVI), with a modified Cohen's kappa value for inter-rater agreement. Subsequently, a cross-sectional design was followed for pilot testing the developed framework for FTE among ten beedi rollers.

resultsThe article outlines various frameworks for determining the full-time equivalent (FTE) for beedi workers, broadly categorized into workload-based, productivity-based, and forecasting models. Among these categories, the productivity-based model appears suitable for beedi rollers. Using the extended FTE-index, beedi rolling work was classified as underloaded (≤0.95), normal (0.95-1.04), and overloaded (≥1.05). A pilot study suggests that the proposed FTE framework can be implemented and utilized to assess their workload.

conclusionsThe study presents a pilot-tested framework to evaluate beedi rollers' workload and advocates for improved working conditions. Three different models were compared: workload-based, productivity-based, and forecasting. As beedi rollers are paid based on the number of beedis they roll in a week rather than the time it takes, the productivity-based model is best suited for calculating FTE for this occupation.

Indexed as

beedi rollersfull-time equivalentproductivity-based model

Identifiers

PMID40486284
PMCPMC12142004

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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.