Evidence map›Paper›PMID 25038891›Full record

ArticleJournal of medical systems2014

Determinants of telemedicine acceptance in selected public hospitals in Malaysia: clinical perspective.

Suhaiza Zailani, Mina Sayyah Gilani, Davoud Nikbin, Mohammad Iranmanesh

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  10. Perception of primary care doctors towards telemedicine in Kuching, Sarawak: A cross-sectional study.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2024
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  17. Review
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  19. Health Care Practitioners' Determinants of Telerehabilitation Acceptance.International journal of telerehabilitation · 2020
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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.

Suhaiza ZailaniUniversity of Malaya, Kuala Lumpur, Malaysia, shmz@um.edu.my.
Mina Sayyah Gilani
Davoud Nikbin
Mohammad Iranmanesh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to explore the determinants of telemedicine acceptance in selected public hospitals in Malaysia and to investigate the effect of health culture on the relationship between these determinants and telemedicine acceptance. Data were gathered by means of a survey of physicians and nurses as the main group of users of telemedicine technology from hospitals that are currently using telemedicine technology. The results indicated that government policies, top management support, perception of usefulness and computer self-efficiency have a positive and significant impact on telemedicine acceptance by public hospitals in Malaysia. The results also confirmed the moderating role of health culture on the relationship between government policies as well as perceived usefulness on telemedicine acceptance by Malaysian hospitals. The results are useful for decision-makers as well as managers to recognize the potential role of telemedicine and assist in the process of implementation, adoption and utilization, and, therefore, spread the usage of telemedicine technology in more hospitals in the country.

Indexed as

Attitude of Health PersonnelDiffusion of InnovationTelemedicineAdultData CollectionFemaleHospitals, PublicHumansMalaysiaMaleMedical Staff, HospitalMiddle AgedNursing Staff, HospitalOrganizational InnovationSurveys and Questionnaires

Identifiers

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.