Evidence map›Paper›PMID 39415215›Full record

ArticleBMC medical ethics2024

Disclosure of true medical information: the case of Bangladesh.

Sanwar Siraj, Kristien Hens, Yousuf Ali

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Article in BMC medical ethics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sanwar SirajCentre for Medical Ethics and Law, Medical Ethics and Humanities Unit, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR. ssiraj@hku.hk.ORCID 0000-0001-6303-4660
Kristien HensDepartment of Philosophy, University of Antwerp, Antwerp, Belgium.ORCID 0000-0003-1062-7918
Yousuf AliDepartment of Political Science, Dhaka International University, Dhaka, Bangladesh.ORCID 0009-0000-0130-4944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTruth-telling in health care is about providing patients with accurate information about their diagnoses and prognoses to enable them to make decisions that can benefit their overall health. Physicians worldwide, especially in the United Kingdom (U.K.) and the United States (U.S.), openly share such medical information. Bangladesh, however, is a Muslim-majority society with different social norms than Western societies. Therefore, we examined whether Muslim culture supports truth disclosure for patients, particularly how and to what extent medical information about life-threatening diseases is provided to patients in Bangladesh.

methodsThis was a phenomenological qualitative study. We conducted thirty in-depth interviews with clinicians, nurses, patients and their relatives at Shaheed Suhrawardy Medical College Hospital in Dhaka, Bangladesh. We also used observations to explore interactions between patients, families and healthcare professionals regarding their involvement in medical decisions and truth disclosure issues. NVivo software was used to identify common themes, and a thematic analysis method was utilised to analyse the datasets.

resultsThis study identified three recurring themes relevant to the ethics and practice of truth disclosure: best interest rather than autonomy, the ambivalent value of deception and who understands what. The participants revealed that physicians often withhold fatal medical prognoses from terminally ill patients to ensure the best healthcare outcomes. The results indicate that deception towards patients is commonly accepted as a means of reducing burden and providing comfort. The participants opined that true medical information should be withheld from some patients, assuming that such disclosures may create a severe burden on them. Whether or to what extent medical information is disclosed primarily depends on a family's wishes and preferences.

conclusionsWhile truth disclosure to patients is considered an ethical norm in many cultures, such as in the U.K. and the U.S., the practice of concealing or partially revealing severe medical prognoses to patients is an actual medical practice in Bangladeshi society. This study emphasises the importance of recognising a patient's active involvement and respecting the cultural values that shape family involvement in medical decision-making. These findings may have significant policy and practical implications for promoting patient autonomy within Bangladeshi family dynamics and religious-based cultural values.

Indexed as

IslamQualitative ResearchTruth DisclosureAdultAttitude of Health PersonnelBangladeshDeceptionDecision MakingFamilyFemaleHumansMaleMiddle AgedPersonal AutonomyPhysician-Patient RelationsBangladeshCollective societyHealth lawMedical ethicsPhenomenological studyTruth-telling

Identifiers

PMID39415215
PMCPMC11483989

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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.