Evidence map›Paper›PMID 31879691›Full record

ArticleAsia-Pacific journal of oncology nursing

Decision-Making about the Place of Death for Cancer Patients: A Concept Analysis.

Yoko Minamiguchi

Open access · goldAbstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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.

Yoko MinamiguchiDepartment of Nursing Science, Graduate School of Nursing, Osaka Medical College, Takatsuki, Osaka, Japan.
Osaka Medical and Pharmaceutical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of the study was to conduct a concept analysis of "decision-making about the place of death for cancer patients" to develop a theoretical definition of the concept and identify its attributes, antecedents, and outcomes.

methodsThe Rodgers' evolutionary model of concept analysis was used. A literature search for papers published from 2000 to 2017 was conducted using the keywords: "cancer," "place," "death," and "decision-making" for the search of the electronic databases.

resultsThirty articles were selected for this analysis. As a result, five attributes, six antecedents, and five consequences were extracted. [options to choose as a place of death], [wishes of the patients themselves], [consideration of the burden on the family], [open discussions with other persons concerned], and [best choice according to circumstances] are considered to be the characteristics in the decision-making about the place of death for cancer patients.

conclusionsThis concept is defined as "The best choice according to circumstances of the cancer patients among different options for a place of death, resulting from a careful evaluation of the wishes of these patients and the burden on the family, as well as through open discussions with other persons concerned." Nurses need to assist patients discuss deaths with important others, such as family members, in making decisions about the place of death. Further studies are necessary to elucidate the details of the categories and relationships shown in the attributes in this study, investigating the actual conditions of the patients and their families.

Indexed as

Cancerconcept analysisdecision-makingthe place of death

Identifiers

PMID31879691
PMCPMC6927160
OpenAlexW2993841233

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.