Evidence map›Paper›PMID 29318126›Full record

ArticleIranian journal of public health2018

Sociodemographic Factors Influencing Vietnamese Patient Satisfaction with Healthcare Services and Some Meaningful Empirical Thresholds.

Quan-Hoang Vuong

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  8. Neighborhood-Based Social Capital and Depressive Symptoms among Adults: Evidence from Guangzhou, China.International journal of environmental research and public health · 2021
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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

1 author.

Quan-Hoang VuongWestern University Hanoi, Center for Interdisciplinary Social Research, Hanoi, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis short communication report some new results obtained from a medical survey among 900 Vietnamese patients in 2015, looking into possibly influential sociodemographic factors as far as patient satisfaction is concerned, to establish empirical relationships between them for policy implications.

methodsThe study employed the baseline category logit models to establish empirical relationships between predictor variables and responses, which reflect different levels of satisfaction.

resultsIncome, medical expenditure, and insurance coverage have the positive influence on improving patient satisfaction. However, insurance reimbursement rate has the negative influence. Patients with residency status are more demanding than those without. The more seriously ill, the less likely a patient finds the health services to be satisfactory. The probability of satisfaction conditional on insurance reimbursement is lower for patients with residency status, and higher for those without.

conclusionThere exist thresholds of income, expenditures, and insurance reimbursement rate, surpassing which probabilistic trends shift. The expenditure threshold for resident patients is almost three times of that for non-residents. An insurance threshold exists only within the group of non-resident patients, ∼65%, suggesting that getting a reimbursement rate higher than this can be very difficult. Therefore, the government's ambitious goal of universal coverage may be both unrealistic and too rigid as patients with different conditions show different perceptions toward healthcare services.

Indexed as

Healthcare policyHealth insuranceMedical expendituresThresholdVietnam

Identifiers

PMID29318126
PMCPMC5756586
OpenAlexW2775954657

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.