Evidence map›Paper›PMID 37484728›Full record

ReviewIranian journal of public health2023

Evaluation Methods in Clinical Health Technologies: A Systematic Review.

Niloofar Mohammadzadeh, Meysam Rahmani Katigari, Rahil Hosseini, Shahrbanoo Pahlevanynejad

Abstract readReview
In one paragraph

Review in Iranian journal of public health, 2023. 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. Review
  2. Article
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.

Niloofar MohammadzadehDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Meysam Rahmani KatigariDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Rahil HosseiniDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Shahrbanoo PahlevanynejadHealth Information Technology Department, School of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study was conducted to classify the types of evaluation methods in clinical health technologies based on a systematic review method. Methods: An electronic search was conducted in three scientific databases including Scopus, PubMed and ISI. The search strategy was performed in Jul to Nov 2021 and based on the three main concepts of "evaluation", "technology", "health. This search has been restricted to 10 years (2011-2021). Moreover, it only was limited to English and papers published in journals and conferences proceeding. Results: Overall, 8149 references were identified for title and abstract screening. Full text screening was performed for 2674 articles, with 174 meeting the criteria for study inclusion. Conclusion: Most of the technologies evaluated in these articles were associated with PC-based systems (N=107), and there have been fewer mobile apps (N=67). Most of used technologies were with goals of treatment (43%, N=74) and education (26%, N=45). Among all the methods, the most and the least used methods were usability (66%, N=115) and qualitative (1%, N=2) method, respectively. The most method for health clinical technologies is usability method especially in telemedicine field.

Indexed as

AssessmentEvaluationHealthSystematic reviewTechnology

Identifiers

PMID37484728
PMCPMC10362203

What OpenQuestion holds

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LicenceCC BY-NC
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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.