Evidence map›Paper›PMID 34622027›Full record

ArticleHealth science reports2021

Doctor-patient relationship: Evidence from Bangladesh.

Syed Abdul Hamid, Afroza Begum, Md Ragaul Azim, Md Sirajul Islam

Abstract read
In one paragraph

Article in Health science reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Article
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  7. Humanization helps build a harmonious doctor-patient relationship.Revista da Associacao Medica Brasileira (1992) · 2024
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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

4 authors.

Syed Abdul HamidResearch Division Institute of Health Economics, University of Dhaka Dhaka Bangladesh.ORCID https://orcid.org/0000-0002-3880-4317
Afroza BegumDepartment of Statistics University of Chittagong Chittagong Bangladesh.
Md Ragaul AzimResearch Division Institute of Health Economics, University of Dhaka Dhaka Bangladesh.
Md Sirajul IslamResearch Division Universal Research Care Ltd Dhaka Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThis study analyses the nature and magnitude of the doctor-patient relationship in Bangladesh, intending to trigger policy discussions for improving healthcare quality. The dearth of research on the nature and degree of this relationship in Bangladesh as well as the global context motivates us to conduct this study.

methodWe use primary data from three different surveys conducted during July to October 2018. The study conducts a public perception survey on 701 individuals at various public places in Dhaka City. In addition, we interview 100 exit-patients from two major public hospitals, four for-profit-private hospitals, and one not-for-profit private hospital in Dhaka City. We also interview a total of 62 doctors of different ladders. Each survey uses a structured questionnaire with a set of questions customized in the Bangladesh context.

resultsThe score of the doctor-patient relationship is found quite low from the viewpoint of the public, the patients, and the doctors. However, the score is comparatively high from the doctor's point of view. The results show that lack of optimum time allocation for the patients, not explaining the prescription clearly, and discriminating the patients by their social status are the main factors for a poor relationship with doctors.

conclusionsThe doctor-patient relationship is substantially poor from the public, patients, and the doctors' viewpoints. Orienting the doctors to non-therapeutic care (ie, respectful behavior, privacy, dignity, prompt attention, clear communication) in all levels of medical education and training, and improving working conditions of the hospitals are the crucial policy implications.

Indexed as

Bangladeshdoctor‐patient relationshipdoctor's perceptionpatient perceptionpublic perceptiontrust

Identifiers

PMID34622027
PMCPMC8485595

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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.