Evidence map›Paper›PMID 35958886›Full record

ArticlePatient preference and adherence2022

Healthcare Inequities Experienced by Patients with Cancer: A Qualitative Study in Medellín, Colombia.

Luis Felipe Higuita-Gutiérrez, Diego Alejandro Estrada-Mesa, Jaiberth Antonio Cardona-Arias

Abstract read
In one paragraph

Article in Patient preference and adherence, 2022. 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

3 authors.

Luis Felipe Higuita-GutiérrezFaculty of Medicine, Universidad Cooperativa de Colombia, Medellín, Colombia.ORCID 0000-0003-1361-3124
Diego Alejandro Estrada-MesaFaculty of Medicine, Universidad Cooperativa de Colombia, Medellín, Colombia.ORCID 0000-0001-8102-7229
Jaiberth Antonio Cardona-AriasSchool of Microbiology, Universidad de Antioquia, Medellín, Colombia.ORCID 0000-0002-7101-929X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to understand the lived experiences of patients with cancer that facing inequities in oncological care in the city of Medellín. Patients and Methods: A qualitative study was conducted based on the theoretical and methodological elements of the grounded theory, specifically the description and conceptual ordering of Corbin and Strauss. Sixteen patients with cancer, who belonged to low (n=5), middle (n=4) and high (n=7) social classes, were included by theoretical sampling with category saturation. Data were collected using semi-structured interviews and analyzed in a category system based on the three social classes. Results: The patients were aged between 23 and 71 years old, and they were diagnosed with different types of cancer such as breast, cervical, prostate, stomach, leukemia and lymphoma. Patients' experiences showed that diagnosis, specialized care, treatment and hospital discharge were different based on their social class. Conclusion: Patients' lived experiences associated with cancer reflect complex social situations, in which social determinants affect the level of citizens' empowerment and self-management against the risks of get disease and die. Being part of low and middle social classes meant being subjected to a dehumanized, cold, impersonal and discontinuous treatment, in which healthcare was focused on the disease instead of individuals' preferences and values. In contrast, patients belonging to the high class had the resources necessary to face risks, which ensured access to more humanized and individualized healthcare.

Indexed as

cancergrounded theoryhealth inequities

Identifiers

PMID35958886
PMCPMC9362511

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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.