Evidence map›Paper›PMID 36348729›Full record

ArticlePerspectives in health information managemen2022

Determinants Affecting the Health Information Sharing Management and Practice for Patient Referral in Thailand: The Perceptions of Patients and Healthcare Professionals.

Veerawan Aumpanseang, Kamonchanok Suthiwartnarueput, Pongsa Pornchaiwiseskul

Abstract read
In one paragraph

Article in Perspectives in health information managemen, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Veerawan Aumpanseang
Kamonchanok Suthiwartnarueput
Pongsa Pornchaiwiseskul

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the cooperative sharing of health information exchange (HIE), various distinct limitations and barriers are found (i.e., substantial time and resources are being used to achieve health information). This paper investigates the limits of healthcare information sharing policy implementation for patient referral systems in Thailand. Mixed-methods research methodology, both quantitative and qualitative mechanisms, are conducted. The study results present the correlation between the current HIE among the hospitals in patient referral systems and the limitations of implementing the HIE policy, composed of technical, economic, political, and legal barriers. The statistical test reveals that these four main barriers could limit information sharing or impede Thailand's standard healthcare information-sharing policy and practice development. Predominantly, it is further found that there is no standard for data collection and data archiving systems; unclear guidelines, practices, and procedures; and a lack of standard practice due to fragmented administration. Foremost of all, the data ownership of any competent authorities or related regulators could cause any constraints in information sharing (e.g., complexity and processing time). This paper's findings will be beneficial to stakeholders, such as policymakers interested in achieving meaningful use, facilitating the adoption and implementation of HIE at a national level to ensure patients' safety and enhance healthcare quality.

Indexed as

Electronic Health RecordsHealth Information ExchangeDelivery of Health CareHealth PersonnelHumansInformation DisseminationPatientsReferral and ConsultationThailandbarriersdata sharinghealthcare informationhealth information exchangeHIEpatient referral systems

Identifiers

PMID36348729
PMCPMC9635045

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.