Evidence map›Paper›PMID 42304028›Full record

ArticleScientific reports2026

Determinants of attendant satisfaction with oncology service quality in Tamil Nadu, India: a cross-sectional study.

J Benita Evangalyne, T Paul Robert, K S Rajkumar, J Anju

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

J Benita EvangalyneDepartment of Industrial Engineering, College of Engineering, Anna University, Chennai, Tamil Nadu, India. benitaevangelyne@gmail.com.
T Paul RobertDepartment of Industrial Engineering, College of Engineering, Anna University, Chennai, Tamil Nadu, India.
K S RajkumarDepartment of Surgical Oncology, PSG Hospitals, Coimbatore, Tamil Nadu, India.
J AnjuPSG Hospitals, Coimbatore, Tamil Nadu, India.

Funding

Indian Council of Social Science Research ICSSR/RFD/2023-24/290
6 · The paper itself

Abstract

Attendants are continuously involved in coordinating and supporting cancer care, yet their service quality perceptions are rarely modelled as determinants of satisfaction. This study investigates the association between demographic factors and service quality dimensions related to attendants' satisfaction in oncology hospitals. A cross-sectional survey using a structured questionnaire was conducted among 480 attendants (accompanying patients) across oncology hospitals in Tamil Nadu, India. Service quality was assessed using six dimensions: tangibility, responsiveness, empathy, assurance, service reliability, and process reliability. Differences across demographic groups were evaluated using non-parametric statistical tests. Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to examine the relationships between service quality dimensions and attendant satisfaction, followed by Importance-Performance Map Analysis (IPMA) to prioritize improvement areas. Significant differences in service quality perceptions were observed across gender, age, education, residential status, financing category, and hospital visit frequency, while income and occupation did not show meaningful effects. Tangibility (β = 0.374), responsiveness (β = 0.313), and empathy (β = 0.196) demonstrated significant positive associations with satisfaction, collectively explaining 80.9% of its variance (R

Indexed as

NeoplasmsPatient SatisfactionQuality of Health CareAdultCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedSurveys and QuestionnairesAttendant satisfactionCancer careDemographic differencesService quality dimensionsStructural equation modelling

Identifiers

PMID42304028
PMCPMC13338142

What OpenQuestion holds

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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.