Evidence map›Paper›PMID 36345350›Full record

ArticleJournal of population ageing2023

Stakeholders' Perspective on Working Towards a Healthy Ageing Society: Evidence from a Rapidly Ageing Context.

C V Irshad, V R Muraleedharan, Umakant Dash

Abstract read
In one paragraph

Article in Journal of population ageing, 2023. 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. Review
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

3 authors.

C V IrshadDepartment of Humanities and Social Sciences, Indian Institute of Technology, Madras, India.ORCID 0000-0002-8409-204X
V R MuraleedharanDepartment of Humanities and Social Sciences, Indian Institute of Technology, Madras, India.ORCID 0000-0002-6698-7958
Umakant DashInstitute of Rural Management Anand (IRMA), Anand, India.ORCID 0000-0001-5348-9530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combined demographic and epidemiologic transition may significantly challenge the ageing population, especially with a weak health and non-health supporting system. The study aims to elicit the supply side stakeholders' view on healthy ageing and the readiness for a healthy ageing society in the Kerala context, which is one of India's most advanced states in terms of demographic and epidemiologic transition. Data from various stakeholders in the field of Gerontology was collected using semi-structured in-depth interviews. A four-step content analysis and themes identification procedure were followed for the data analysis. The study results reiterated the World Health Organisation's (WHO) conceptualisation of healthy ageing, indicating that the intrinsic and extrinsic factors independently or their interacted effect played a potential role in determining healthy ageing. However, the results also revealed that healthy ageing represents only a partial achievement of successful ageing or ageing well. Quality of life (productive/active ageing) and well-being (happiness and freedom) dimensions are inevitable for successful aging. The four overarching themes emerged for preparing a healthy ageing society include (i) planning and resources, (ii) leadership, governance and implementation, (iii) ageing in place, and (iv) opportunities and challenges. The stakeholders perceived that to work towards a healthy ageing society, there is a crucial role for government and non-government partners at various levels.

Indexed as

Ageing policyHealthy ageingKeralaPopulation ageingQualitative research

Identifiers

PMID36345350
PMCPMC9630071

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.