Evidence map›Paper›PMID 38389027›Full record

ArticleCommunity mental health journal2025

Autoethnographic Reflections on Mental Distress and Medication Management: Conceptualising Biomedical and Recovery Models of Mental Health.

Joanna Fox

Open access · hybridAbstract read
In one paragraph

Article in Community mental health journal, 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
2.5field-weighted citation impact, top 12% of its field
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, 3 citations in OpenAlex.

  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

1 author at 1 institution in 1 country.

Joanna FoxSchool of Allied Health and Social Care, Anglia Ruskin University, Cambridge, UK. Joanna.Fox@aru.ac.uk.ORCID 0000-0003-3462-2978
Anglia Ruskin University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article uses autoethnography to explore the author's lived experiences of mental distress and how she has conceptualised and explained these symptoms to herself using both the biomedical and recovery models of care. Autoethnography is a process of personal reflection that enables connection between the personal and the political. Experiences of mental distress are recounted alongside the decision to reduce medication. This personal experience is then explored in the context of limited evidence base on the effectiveness of reducing medication and the situation in which prescribers often feel reluctant to recommend and support service users in these choices. Shared decision-making in medication management is introduced which is an approach which draws on the models of recovery and co-production challenging traditional biomedical approaches which locate the prescriber as expert. Moreover, the radical service user led model is highlighted, within which, the Hearing Voices Network and Open Dialogue offer alternative approaches which promote co-production and empowerment. The author connects the personal to the political and reflects on her dual identity as an expert-by-experience and social work academic. She details how she has drawn on biomedical explanations to describe her distress yet has been challenged by the recovery model throughout her journey of recovery. She concludes that her own position, in identifying herself as an academic and expert-by-experience is an important step in challenging notions of expertise and approaches to mental health care.

Indexed as

Mental DisordersStress, PsychologicalAnthropology, CulturalFemaleHumansMental HealthMental Health RecoveryAutoethnographyBiomedical modelExpertise-by-experienceRecovery modelShared decision-making

Identifiers

PMID38389027
PMCPMC11772374
OpenAlexW4392078623

What OpenQuestion 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 OpenQuestion graph.