Evidence map›Paper›PMID 36287440›Full record

ArticlePharmacy (Basel, Switzerland)2022

Development and Implementation of a Healthcare Database Analysis Course for Graduate Students.

David R Axon

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 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. 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

1 author.

David R AxonDepartment of Pharmacy Practice & Science, R. Ken Coit College of Pharmacy, The University of Arizona, 1295 N. Martin Ave., Tucson, AZ 85721, USA.ORCID 0000-0002-9903-5996

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There emerged a need to develop and implement a new healthcare database analysis course for Health Economics and Outcomes Research (HEOR) graduate students, which would allow students to apply their biostatistics and study design skills to answer healthcare-related research questions using large datasets. This communication establishes the need for this course, describes how the course was conceptualized, provides an overview of the course content, course cohort, and course outcomes, and discusses lessons learned from this process. This course was developed to meet the need of HEOR graduates to perform real-world data studies. The course required students to conceptualize a study, apply their data analysis skills to analyze the data, and develop their scientific writing skills by preparing a conference abstract and research report that should be submitted for publication. Lessons learned include focusing more on developing advanced research methodologies and less time on preparing dissemination materials, which can instead be done in subsequent courses or for independent study credit.

Indexed as

database analysisgraduate pharmacy educationhealthcare databaseshealth economics and outcomes researchreal-world data

Identifiers

PMID36287440
PMCPMC9608582

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.