Evidence map›Paper›PMID 41048261›Full record

Observational studyFrontiers in public health2025

Health-related quality of life among multimorbid patients using the EQ-5D-5L value set for India.

Krushna Chandra Sahoo, Abhinav Sinha, Girish Chandra Dash, Rakesh Kumar Sahoo, Debdutta Bhattacharya, Purna Chandra Dash, Lalatendu Mohanty, Pranab Mahapatra, Kavitha Rajsekhar, Sanghamitra Pati

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 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. Article
  2. 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

10 authors.

Krushna Chandra SahooHealth Technology Assessment India, Department of Health Research, Ministry of Health & Family Welfare, New Delhi, India.
Abhinav SinhaHealth Technology Assessment India, Regional Resource Hub, ICMR-Regional Medical Research Centre, Bhubaneswar, India.
Girish Chandra DashHealth Technology Assessment India, Regional Resource Hub, ICMR-Regional Medical Research Centre, Bhubaneswar, India.
Rakesh Kumar SahooHealth Technology Assessment India, Regional Resource Hub, ICMR-Regional Medical Research Centre, Bhubaneswar, India.
Debdutta BhattacharyaHealth Technology Assessment India, Regional Resource Hub, ICMR-Regional Medical Research Centre, Bhubaneswar, India.
Purna Chandra DashDepartment of General Medicine, S.C.B. Medical College & Hospital, Cuttack, India.
Lalatendu MohantyDepartment of Medicine, Kalinga Institute of Medical Sciences, Bhubaneswar, India.
Pranab MahapatraDepartment of Psychiatry, Kalinga Institute of Medical Sciences, Bhubaneswar, India.
Kavitha RajsekharHealth Technology Assessment India, Department of Health Research, Ministry of Health & Family Welfare, New Delhi, India.
Sanghamitra PatiHealth Technology Assessment India, Regional Resource Hub, ICMR-Regional Medical Research Centre, Bhubaneswar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimorbidity presents major challenges to healthcare systems worldwide. Assessing health-related quality-of-life (HRQoL) in multimorbid patients is essential for understanding the overall impact of the patient's health conditions on wellbeing and the complexities of patient management. This study assessed the HRQoL of multimorbid patients in India using the EQ-5D-5L value set. This observational study included 906 patients from tertiary healthcare facilities in Odisha, India, and used consecutive time-based sampling methods, conducted from January to April 2023. The study examined the relationship between HRQoL measures and utility scores using ordinary least squares regression and multiple regression analysis. The results showed that mean utility scores decreased as the number of health conditions increased, with scores of 0.677 for one condition, 0.577 for two conditions, 0.354 for three conditions, and 0.098 for four or more conditions. Combining stroke/paralysis with other health issues resulted in negative utility ratings. The findings showed that younger age (

Indexed as

Health StatusMultimorbidityQuality of LifeAdultAgedFemaleHumansIndiaMaleMiddle AgedSurveys and QuestionnairesEQ-5D-5LHealth Technology Assessmentmultimorbiditymultiple long-term conditionsquality of lifeutility score

Identifiers

PMID41048261
PMCPMC12488435

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.