Evidence map›Paper›PMID 29379382›Full record

ReviewThe Malaysian journal of medical sciences : MJMS2017

Indicators for Medical Mistrust in Healthcare-A Review and Standpoint from Southeast Asia.

Hew Hei Choy, Aniza Ismail

Abstract readReview
In one paragraph

Review in The Malaysian journal of medical sciences : MJMS, 2017. 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

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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Medical Mistrust: A Concept Analysis.Nursing reports (Pavia, Italy) · 2025
    Review
  4. Article
  5. Intergroup time bias and aversive racism in the medical context.Journal of personality and social psychology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

2 authors.

Hew Hei ChoyDepartment of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, 56000 Cheras, Kuala Lumpur, Malaysia.
Aniza IsmailDepartment of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, 56000 Cheras, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship based on trust is exceptionally important in healthcare, where life or death and quality of health are major concerns. Relational crack jeopardises the provision of quality healthcare when trust is taken for granted. Trust is believed to be the vital key to minimise medical negligence, lawsuits and patient complaints towards healthcare providers while acting as an empowering agent to significant clinical outcomes. Trust is indispensable to healthcare. However, to identify its deterioration is not a simple feature. Moreover, lack of research and public dissemination complicate this topic further. Hence, understanding medical mistrust issues and their associated indicators is urgently needed to ensure the top-notch provision of healthcare. We employed narrative review methodology together with key terms matching for the selected electronic databases for this article. Our review concluded that an "Increasing number of medical litigations and complaints towards physicians", "Physicians' low mastery of interpersonal communication skill" and "Patients' demand, practice, and non-disclosure of alternative treatments" are the possible indicators to predict mistrust. Efforts to restore and strengthen trust can only be made when these indicators are well understood firsthand.

Indexed as

complementary & alternative medicinehealthcareindicatorinterpersonal communicationpatient-physician-relationshiptrust

Identifiers

PMID29379382
PMCPMC5771511

What OpenQuestion holds

Textmetadata
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.