Evidence map›Paper›PMID 31732873›Full record

ArticleDaru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences2019

Socio-economic and behavioral determinants of prescription and non-prescription medicine use: the case of Turkey.

Selcen Öztürk, Dilek Başar, İlhan Can Özen, Arbay Özden Çiftçi

Open access · greenAbstract read
In one paragraph

Article in Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Predictors of Self-medication in Iran: A Notional Survey Study.Iranian journal of pharmaceutical research : IJPR · 2021
    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

4 authors at 2 institutions in 1 country.

Selcen ÖztürkDepartment of Economics, Faculty of Administrative Sciences, Health Economics and Health Policy Research and Application Center, Hacettepe University, Ankara, Turkey. selcen@hacettepe.edu.tr.ORCID https://orcid.org/0000-0003-2011-2360
Dilek BaşarDepartment of Economics, Faculty of Administrative Sciences, Health Economics and Health Policy Research and Application Center, Hacettepe University, Ankara, Turkey.ORCID https://orcid.org/0000-0001-6501-8760
İlhan Can ÖzenDepartment of Economics, Faculty of Administrative Sciences, Middle East Technical University, Ankara, Turkey.ORCID https://orcid.org/0000-0003-0524-5536
Arbay Özden ÇiftçiDepartment of Pediatric Surgery, Faculty of Medicine, Health Economics and Health Policy Research and Application Center, Hacettepe University, Ankara, Turkey.ORCID https://orcid.org/0000-0001-9226-764X
Hacettepe University · TRMiddle East Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDemographic and socio-economic factors determine pharmaceutical health care utilization for individuals. Prescription and non-prescription medicine use are expected to have different determinants. Even though prescription and non-prescription medicine use is being well researched for developed countries, there are only a few studies for developing countries.

objectivesThis paper aims to analyze the socio-economic and individual characteristics that determine the use of prescription and non-prescription medicine. We examine the issue for the specific case of Turkey since Turkey's health system has undertaken significant changes in the last two decades and especially after 2003 with the "Health Transformation Programme".

methodsData from the nationally representative "Health Survey" are used in the analysis. The data set covers the 2008-2016 period with two-year intervals. Pooled multivariate logistic regression is employed to identify the underlying determinants of prescription and non-prescription medicine use.

resultsWhen compared to 2008, non-prescription medicine use decreases until 2012, however, an increasing trend appears after 2012. For prescription medicine use, a decreasing trend emerges after 2012. Findings from the marginal effects indicate that for non-prescription medicine use, the highest effect stems from the health status. For prescription medicine use, the highest marginal effects arise from age, health and employment status indicating the importance of the need and predisposing factors.

conclusionDecreasing non-prescription medicine use largely depends on easier access to health care service utilization. Although having a health insurance has a positive relationship with prescription medicine use, there is still a problem for individuals living a rural area and heaving a lower income level since they are more likely to use non-prescription medicine.

Indexed as

Nonprescription DrugsPrescription DrugsFemaleHealth Services AccessibilityHealth SurveysHumansLogistic ModelsMaleRural HealthSocioeconomic FactorsTurkeyUrban HealthNonprescription DrugsPrescription DrugsNon-prescription medicinePrescription medicineSelf-medicationSocio-economic determinantsTurkey

Identifiers

PMID31732873
PMCPMC6895375
OpenAlexW2986651775

What OpenQuestion holds

Textmetadata
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.