Evidence map›Paper›PMID 38303031›Full record

SynthesisBMC medical informatics and decision making2024

The development of evaluation scale of the patient satisfaction with telemedicine: a systematic review.

Yifei Du, Yu Gu

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
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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, 1 synthesis or guideline pooled it.

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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

2 authors.

Yifei DuDepartment of Medical Information Technology and Management, Yanjing Medical College, Capital Medical University, Beijing, China.
Yu GuDepartment of Medical Information Technology and Management, Yanjing Medical College, Capital Medical University, Beijing, China. bitguyu@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the outbreak of the COVID-19 pandemic, telemedicine become more and more popular, patients attempt to use telemedicine to meet personal medical needs. Patient satisfaction is a key indicator of insight into the patient experience. PURPOSE: This systematic review aims to explore the measurement factors of patient satisfaction with telemedicine and develop a more comprehensive and systematic scale of patient satisfaction with telemedicine.

methodsIn February 2023, a literature search was conducted on the PubMed, EMBASE, and Web of Science, identifying measurement factors and tools of patient satisfaction with telemedicine. For inclusion, the studies had to have or make a questionnaire about patient satisfaction with telemedicine delivered through video/audio visits in English. The quality of the studies was evaluated according to the Critical Appraisal Tool for Analytical Cross-Sectional Studies of the Joanna Briggs Institute (JBI). The dimensions and items in each tool were also analyzed.

resultsThe initial search showed 14,020 studies. After eliminating duplicates and utilizing inclusion and exclusion criteria, 44 studies were included. This systematic review identified and integrated the measurement factors and develops a scale of patient satisfaction with telemedicine, which was divided into 9 dimensions and consists of 37 items.

conclusionFuture measurement and evaluation of telemedicine will benefit from scale that was developed in this study, and it will more directly reflecting patient needs when patient satisfaction with telemedicine is evaluated.

Indexed as

Patient SatisfactionTelemedicineCross-Sectional StudiesHumansPandemicsPatient satisfactionScaleSystematic reviewTelemedicine

Identifiers

PMID38303031
PMCPMC10832124

What OpenQuestion holds

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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.