Evidence map›Paper›PMID 34585130›Full record

ArticleEClinicalMedicine2021

Disparate healthcare experiences of people living with overweight or obesity in England.

Stuart W Flint, Meghan Leaver, Alex Griffiths, Mohammad Kaykanloo

2 registry-linked trialsAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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.

NCT05622045 active not recruitingnot on this mapstarted 2023, after this paper: background citation

Does Personality Predict Patient Adherence, Health Behaviors, and Weight Loss Outcomes During the Latino Crossover Semaglutide Study (LCSS)? (Story-LCSS Project)

TypeobservationalSponsorLoma Linda UniversityRan2023 to 2027Enrolled59ConditionsObesity, Body Weight ChangesArmsVoice data
NCT06533254 recruitingnot on this mapstarted 2024, after this paper: background citation

Use of Behavioral Artificial Intelligence to Predict and Increase Uptake of Peritoneal Dialysis [AI-Dialysis]

TypeobservationalSponsorScaled InsightsRan2024 to 2025Enrolled3,000ConditionsChronic Kidney DiseaseArmsPredicting choice of dialysis, Behavioral nudges
3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Addressing weight stigma and communicating with patients.Archives of endocrinology and metabolism · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Patient Perceptions of Weight Stigma Experiences in Healthcare: A Qualitative Analysis.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  10. The relationship between person-centred care and well-being and satisfaction with care of patients living with obesity.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Medical management of obesity.Clinical medicine (London, England) · 2023
    Article
  17. Article
  18. Article
  19. 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

4 authors.

Stuart W FlintSchool of Psychology, University of Leeds, Leeds, UK.
Meghan LeaverPEP Health, London, UK.
Alex GriffithsPEP Health, London, UK.
Mohammad KaykanlooScaled Insights, Nexus, University of Leeds, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnsuring that patients have high quality, equitable experiences in healthcare is a high priority in the UK. As such, identifying and addressing areas where patient experiences are unsatisfactory and inequitable is of high priority, and has been included as part of the National Health Service (NHS) England equity objectives.

methodsThe healthcare experiences of people who identified as living with overweight or obesity were gathered from freely available websites using the Patient Experience Platform (PEP). PEP was used to gather and analyse all comments from NHS UK, Google, Facebook and Twitter that related to care experiences of people who identified as living with overweight or obesity across all NHS Acute and Specialist Trusts and all general practitioners (GPs) in England from 01/01/2018 to 31/12/2020. These healthcare experiences were analysed to provide care quality metrics, a comparison of care across regions of England, and to explore associations between behavioural clusters of personality attributes, values and sentiment with care quality metrics.

findingsPerceptions of the quality of care were significantly lower for people who identified as living with overweight or obesity compared to people who didn't identify as living with overweight or obesity across all regions for 'Effective Treatment' and 'Emotional Support'. The perceived quality of care metrics can be predicted by the behavioral clusters, where for instance, the experiences of people who identified as living with overweight or obesity in the negative behavioral cluster have a lower overall perceived quality of care score. Themes arising from the data also highlighted that barriers quality care experienced by people who identified as living with obesity include the speed of access, effective treatment, and emotional support, with stigmatising healthcare experiences are reported.

interpretationThe findings of this study provide insights into the experiences reported via freely available websites, of people who self-identified as living with overweight or obesity in healthcare in England. These insights demonstrate that the perceived quality of care was lower for people who identified as living with overweight or obesity compared to the general population, and that there is regional variation in care quality. The study has also shown that patient experiences differ based on personality attributes, values and sentiment, highlighting the need for patient-centred care and personalised approaches. These findings hold important considerations for healthcare and policy makers aiming to address healthcare inequity.

Indexed as

Access to careArtificial intelligencePatient experiencesWeight stigma

Identifiers

PMID34585130
PMCPMC8452776

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.