Evidence map›Paper›PMID 35342287›Full record

ArticleCancer informatics2022

A Clinical Decision Support System for Increasing Compliance with Protocols in Chemotherapy of Children with Acute Lymphoblastic Leukemia.

Hamid Moghaddasi, Rezvan Rahimi, Alireza Kazemi, Khadijeh Arjmandi Rafsanjani, Gholamreza Bahoush, Forough Rahimi

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PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Hamid MoghaddasiDepartment of Health Information Management and Technology, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Rezvan RahimiDepartment of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0002-9126-3599
Alireza KazemiDepartment of Health Information Management and Technology, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Khadijeh Arjmandi RafsanjaniDivision of Pediatric Hematology and Oncology, Department of Pediatrics, Ali-Asghar Children Hospital, Iran University of Medical Sciences, Tehran, Iran.
Gholamreza BahoushDivision of Pediatric Hematology and Oncology, Department of Pediatrics, Ali-Asghar Children Hospital, Iran University of Medical Sciences, Tehran, Iran.
Forough RahimiSchool of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In this survey, a protocol-based Chemotherapy Prescription Decision Support System (CPDSS) was designed and evaluated to reduce medication errors in the chemotherapy process of children with ALL. Methods: The CPDSS algorithm was extracted by the software development team based on the protocol used by doctors to treat children with ALL. The ASP.Net MVC and SQL Server 2016 programming languages were used to develop the system. A 3-step evaluation (technical, retrospective, and user satisfaction) was performed on CPDSS designed at 2 children's hospitals in Tehran. The data were analyzed using descriptive statistics. At the technical evaluation step, users provided recommendations included in the system. Results: In the retrospective CPDSS evaluation step, 1281 prescribed doses of the drugs related to 30 patients were entered into the system. CPDSS detected 735 cases of protocol deviations and 57 (95%, CI = 1.25-2.55) errors in prescribed chemotherapy for children with ALL. In the user satisfaction evaluation, the users approved two dimensions of the user interface and functionality of the system. Conclusions: With the provision of alerts, the CPDSS can help increase compliance with chemotherapy protocols and decrease the chemotherapy prescribing errors that can improve patient safety.

Indexed as

antineoplastic combined chemotherapy protocolsclinicalcomputer-assisteddecision support systemsdrug therapyMedication errors

Identifiers

PMID35342287
PMCPMC8943570

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