Evidence map›Paper›PMID 31598731›Full record

ArticleSingapore medical journal2020

Factors affecting patient enablement in an Asian setting: a mixed methods study.

Jason Meng Huey Chan, Andrew Hao Sen Fang, Mitesh Shah

Abstract read
In one paragraph

Article in Singapore medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

3 authors.

Jason Meng Huey ChanSingHealth Polyclinics - Geylang, Singapore.
Andrew Hao Sen FangSingHealth Polyclinics - Geylang, Singapore.
Mitesh ShahSingHealth Polyclinics - Geylang, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatient-centred medical care has been rising in importance since the turn of the century. It entails treating patients in relation to their biopsychosocial outlook so as to support the management of their conditions. The extent to which a patient is enabled to acquire skills and knowledge can be measured with the Patient Enablement Instrument (PEI) proposed by Howie and colleagues, and it has been noted to be more reflective of a good consultation compared to patient satisfaction scores. This study aimed to determine the level of patient enablement in the Singaporean context and the factors facilitating it.

methodsWe conducted an embedded mixed method study with primary care patients in two phases: (a) a PEI questionnaire was completed by 150 patients; and (b) a qualitative approach using focused group discussions and individual interviews was used to explore factors associated with high enablement.

resultsThe mean PEI score was 4.5 ± 4.4, with significantly higher scores among patients attending specialised primary care clinics. Important physician factors were doctors' advice, attitude and relationship with the patient. Critical system factors included good continuity of care, workload and financial support, while patient factors included their beliefs, preparedness, inquisitiveness and trust, with considerable impact from the influence of community.

conclusionThe PEI score in the Singaporean context is similar to that of other Asian contexts, but slightly higher than that reported in Western studies. Good doctor-patient relationships, efficient systems facilitating continuity of care, and motivated and informed patients all contribute to increased enablement.

Indexed as

Patient SatisfactionPhysician-Patient RelationsHumansPatient-Centered CarePrimary Health CareReferral and Consultationdoctor-patient relationshippatient enablementsystems efficiency

Identifiers

PMID31598731
PMCPMC7930295

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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.