Evidence map›Paper›PMID 39280902›Full record

ArticleInternational journal of public health2024

"The Razor's Edge of Timing:" A Phenomenological Analysis of Decision-Making Processes Surrounding Medical Aid in Dying.

Jennifer Currin-McCulloch, Nathan Gallo, Yixuan Wang, Kim Mooney

Abstract read
In one paragraph

Article in International journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Jennifer Currin-McCullochSchool of Social Work, Colorado State University, Fort Collins, CO, United States.
Nathan GalloSchool of Social Work, Colorado State University, Fort Collins, CO, United States.
Yixuan WangSchool of Social Work, Colorado State University, Fort Collins, CO, United States.
Kim MooneyPractically Dying, Inc., Longmont, CO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The study aimed to explore how terminally ill individuals in the United States approach medical aid in dying (MAID), including personal, interpersonal and structural factors that influence their decision-making processes. Methods: This embodied phenomenological study incorporated semi-structured (N = 9) interviews with seven terminally ill adults who received a prescription for MAID. Interviews occurred over Zoom between October 2021-January 2023 and was guided by Ashworth's framework for exploring phenomenological lifeworlds. Participants were invited to share perceptions of their lifeworlds in pursuit of MAID including values; embodied health, ability, and emotions; space and place in society; reflections on time/timing; and political and cultural discourse. Data analysis integrated Wertz's phenomenological psychological analysis methods. Results: The phenomenon of choosing MAID is an intricate juggling of lifeworlds between participants' embodied relationships, values, time and agency which lead to co-existing experiences of uncertainty and hard-won relief. Conclusion: Our findings contribute cutting-edge knowledge of the decisional tensions and triumphs terminally ill individuals encounter as they approach MAID and highlight practical implications for health and mental health providers in preparing psychoeducational support for those seeking MAID.

Indexed as

Decision MakingSuicide, AssistedAdultAgedFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchTerminally IllTime FactorsUnited Statesend-of-life decision makingmedical aid in dyingphenomenologytimingvalues

Identifiers

PMID39280902
PMCPMC11392797

What OpenQuestion holds

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Registered trials

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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.