Evidence map›Paper›PMID 39614221›Full record

ArticleBMC nursing2024

Understanding patients' decision to leave hospital care in Ghana: clinical cases and underlying determinants.

Abukari Kwame, Pammla M Petrucka

Abstract read
In one paragraph

Article in BMC nursing, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

Abukari KwameCollege of Nursing, University of Saskatchewan, Prince Albert Campus, Prince Albert, Canada. abukarikwames@yahoo.com.ORCID http://orcid.org/0000-0003-3231-3100
Pammla M PetruckaCollege of Nursing, University of Saskatchewan, Regina Campus, Regina, Canada.ORCID http://orcid.org/0000-0003-3174-3328

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe quality of patient discharge teaching and information influences most patients' readiness for discharge and perceptions of care. Planned patient discharge positively impacts patient health outcomes and post-discharge care management. However, some patients withdraw from care before being formally discharged, often termed discharge against medical advice (DAMA), among other labels. Patient withdrawal from care occurs in some Ghanaian hospitals, yet this phenomenon is understudied. We present clinical cases of this phenomenon in a Ghanaian hospital to understand why patients and their families leave hospital care before formal discharge.

methodsData was obtained through interviews, a focus group, and participant observations from nurses, patients, and caregivers. Thematic analysis and ethnographic case mapping helped us to identify patient discharge types and five DAMA cases.

resultsThe underlying factors for discharge in these cases were identified and interpreted. These included health beliefs and cultural norms, costs of care, low health literacy, length of hospital stay and recovery outcomes. Others were social responsibility demands and lack of medical specialists and equipment. A detailed interrogation of the clinical cases and underlying factors revealed the need to reconceptualize discharge against medical advice.

conclusionWe recommend that providers embrace dialogue, cultural competency, and person-centered care and communication in managing patients' decisions respecting discharge. We reason that discharge against medical advice is a quality gap requiring both patient rights and ethical lense to address.

Indexed as

Clinical casesCultural competenceGhanaHealth beliefsPatient dischargePerson-centered careWithdrawal from care

Identifiers

PMID39614221
PMCPMC11606217

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LicenceCC BY-NC-ND
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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.