Evidence map›Paper›PMID 30050963›Full record

ArticleJournal of research in pharmacy practice

Trend Analysis of Medicine Consumption Based on Therapeutic Categories in Iran: 2000-2016.

Alireza Yektadoost, Farid Ebrahimi, Mohammadreza Mashouf, Naghmeh Hadidi, Nasser Nassiri Koopaei, Abbas Kebriaeezadeh

Abstract read
In one paragraph

Article in Journal of research in pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alireza YektadoostDepartment of Pharmacoeconomics and Pharmaceutical Management, Tehran University of Medical Sciences, Tehran, Iran.
Farid EbrahimiDepartment of MBA, Pharmaceutical Science Branch, Islamic Azad University, Tehran, Iran.
Mohammadreza MashoufDepartment of Business Analysis, Daroupakhsh Distribution Company, Tehran, Iran.
Naghmeh HadidiDepartment of Clinical Research, Pasteur Institute of Iran, Tehran, Iran.
Nasser Nassiri KoopaeiDepartment of Pharmacoeconomics and Pharmaceutical Management, Tehran University of Medical Sciences, Tehran, Iran.
Abbas KebriaeezadehDepartment of Pharmacoeconomics and Pharmaceutical Management, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIranian healthcare system cost has been remarkably growing during the recent decades. Drug shortages and the economic effects of the sanctions have also exposed the pitfalls and shortcomings of the pharmaceutical system. Moreover, the pharmaceutical system is a major expenditure source for the health system. Pharmaceutical market trend analysis serves as a reliable tool to gather and analyze market and consumption data to take account of the past policies and forecast the future of the market and disease trends.

methodsThe present work tries to quantitatively describe and analyze past 17 years of Iranian pharmaceutical market sales data from 2000 to 2016. The anatomical therapeutic chemical-classified drug utilization data obtained from the Iranian Food and Drug Administration were used to analyze the market trends for each therapeutic class and categorize them.

findingsThe size of Iranian pharmaceutical market has grown dramatically during the last 5 years reaching to $5.183 billion in 2016 from $3.847 billion in 2011 with a compound annual growth rate of 6.14%. Antidiabetics and antineoplastic agents were one of the most prominent market growth drivers. Introduction of new drug molecules to the market has also contributed to the trend. However, the noncommunicable diseases are gaining momentum in the national disease burden.

conclusionThe market growth necessitates policies to prevent the overwhelming cost burden on the healthcare system which in turn requires well-informed decision-making. Pharmaceutical market trend analysis tries to supply the evidence feed for informed policy-making to forecast, prioritize, and contain the cost burden imposed on the healthcare system by the pharmaceutical sector.

Indexed as

Anatomical therapeutic chemical categoriesforecastingmarket dynamicspharmaceutical markettrend analysis

Identifiers

PMID30050963
PMCPMC6036870

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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.