Evidence map›Paper›PMID 23333430›Full record

ReviewResearch in social & administrative pharmacy : RSAP

A review of geographic variation and Geographic Information Systems (GIS) applications in prescription drug use research.

Victoria Wangia, Theresa I Shireman

Open access · greenAbstract readReview
In one paragraph

Review in Research in social & administrative pharmacy : RSAP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 18 citations in OpenAlex.

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  7. Cancer cluster investigations: review of the past and proposals for the future.International journal of environmental research and public health · 2014
    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

2 authors at 1 institution in 1 country.

Victoria WangiaUniversity of Kansas Medical Center, Kansas City, Kansas, United States. Electronic address: vwangia@gmail.com.
Theresa I Shireman
University of Kansas Medical Center · US

Funding

Are Cardioprotective Medications Effective in ESRD?R01DK080111 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SHIREMAN, THERESA I. · 2008 to 2011
$1.4M
NIDDK NIH HHS R01 DK080111
6 · The paper itself

Abstract

backgroundWhile understanding geography's role in healthcare has been an area of research for over 40 years, the application of geography-based analyses to prescription medication use is limited. The body of literature was reviewed to assess the current state of such studies to demonstrate the scale and scope of projects in order to highlight potential research opportunities.

objectiveTo review systematically how researchers have applied geography-based analyses to medication use data.

methodsEmpiric, English language research articles were identified through PubMed and bibliographies. Original research articles were independently reviewed as to the medications or classes studied, data sources, measures of medication exposure, geographic units of analysis, geospatial measures, and statistical approaches.

resultsFrom 145 publications matching key search terms, forty publications met the inclusion criteria. Cardiovascular and psychotropic classes accounted for the largest proportion of studies. Prescription drug claims were the primary source, and medication exposure was frequently captured as period prevalence. Medication exposure was documented across a variety of geopolitical units such as countries, provinces, regions, states, and postal codes. Most results were descriptive and formal statistical modeling capitalizing on geospatial techniques was rare.

conclusionDespite the extensive research on small area variation analysis in healthcare, there are a limited number of studies that have examined geographic variation in medication use. Clearly, there is opportunity to collaborate with geographers and GIS professionals to harness the power of GIS technologies and to strengthen future medication studies by applying more robust geospatial statistical methods.

Indexed as

Drug UtilizationGeographic Information SystemsPrescription DrugsGeographyHumansResearchPrescription DrugsGeographic variationGeospatialGISMedication useSmall area variation analyses

Identifiers

PMID23333430
PMCPMC4160030
OpenAlexW2007761106

What OpenQuestion holds

Textmetadata
LicenceTDM
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.