Evidence map›Paper›PMID 29582010›Full record

ArticleJournal of patient experience2018

Dimensions of Phenomenology in Exploring Patient's Suffering in Long-Life Illnesses: Qualitative Evidence Synthesis.

Mahmoud Al Kalaldeh, Ghada Abu Shosha, Najah Saiah, Omar Salameh

Open access · diamondAbstract read
In one paragraph

Article in Journal of patient experience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact, top 82% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 at 2 institutions in 1 country.

Mahmoud Al KalaldehAl-Zaytoonah University of Jordan, Amman, Jordan.
Ghada Abu ShoshaZarqa Private University, Zarqa, Jordan.
Najah SaiahAl-Zaytoonah University of Jordan, Amman, Jordan.
Omar SalamehAl-Zaytoonah University of Jordan, Amman, Jordan.
Al-Zaytoonah University of Jordan · JOZarqa University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients' suffering has been increasingly investigated by health-care researchers especially in the chronically ill. Suffering is viewed as a progressive negative consequence that associated with pain, impaired self-esteem, and social alienation. This qualitative evidence synthesis aimed to provide further insights into the application of phenomenology in explaining suffering among patients with chronic illnesses.

methodsStudies included in this qualitative evidence synthesis study were retrieved by searching from the following electronic databases: CINAHL, PubMed Central, and EBSCO.

findingsPhenomenology is regarded as influential to generate in-depth evidence about suffering that are grounded in chronically ill patients' perspectives. The philosophical constructs of suffering suggested fundamental dimensions such as stress, distress, hopelessness, and depression along with pain. Evidence encompasses the entire manifestation of suffering in which all interrelated meanings are understood and referred to a unique structure. Hermeneutic phenomenology was adopted as an effective strategy to elucidate human experience leading to the discovery of the embedded meanings of life experience.

conclusionThe phenomenological approach provides nursing research with the pathway to explore patients' suffering experiences in the chronically ill.

Indexed as

chronicnursingphenomenologysuffering

Identifiers

PMID29582010
PMCPMC5862380
OpenAlexW2747593756

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.