Evidence map›Paper›PMID 29456389›Full record

ArticleJournal of natural science, biology, and medicine

Assessment of Quality of Prescription Writing among Dental and Medical Students and Practitioners in Kerala.

Naveen Jacob Varghese, Venkitachalam Ramanarayanan, Chandrashekar Janakiram, Joe Joseph

Abstract read
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Article in Journal of natural science, biology, and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Trial
  2. Quality of prescription writing in Brazilian primary health care.Primary health care research & development · 2023
    Observational
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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.

Naveen Jacob VargheseDepartment of Public Health Dentistry, Amrita School of Dentistry, AIMS, Kochi, Kerala, India.
Venkitachalam RamanarayananDepartment of Public Health Dentistry, Amrita School of Dentistry, AIMS, Kochi, Kerala, India.
Chandrashekar JanakiramDepartment of Public Health Dentistry, Amrita School of Dentistry, AIMS, Kochi, Kerala, India.
Joe JosephDepartment of Public Health Dentistry, Amrita School of Dentistry, AIMS, Kochi, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe medical prescription is a valid and legal document. Prescriptions can also be used as a measure of the quality of medical education, observance of the laws and regulations, and sociocultural beliefs.

aimsTo assess the quality of prescription written by dental and medical students and practitioners. SETTINGS AND

designA cross-sectional study was conducted in three dental and two medical colleges in Kerala covering 345 participants (dental - 235 and medical - 110). MATERIALS AND

methodsSimulation exercise was conducted for drafting a model prescription based on a given clinical condition. The variables were identified based on the model prescription format by the Medical Council of India and were classified into four domains. Points were assigned for each variable. STATISTICAL ANALYSIS USED: Analysis was performed using descriptive statistics and Mann-Whitney U-test. RESULTS AND

conclusionThe total scores were found to be higher among dental fraternity (10.93 ± 2.88) to medical (10.81 ± 2.55). The medical house surgeons and postgraduates fared better in the doctor identification domain. Among the dental professionals, there was a significant difference among the undergraduates (mean score = 1.91) and postgraduates (mean score = 1.60) in the doctor identification domain. However, among the medical professionals, in the patient identification domain, house surgeons had a significantly higher score compared to postgraduates. There were no significant differences in quality of prescription writing among medical and dental professionals.

Indexed as

Dentistrydrugsmedicineprescription

Identifiers

PMID29456389
PMCPMC5812070

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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.