Evidence map›Paper›PMID 39565747›Full record

ArticlePLoS medicine2024

Economic, cultural, and social inequalities in potentially inappropriate medication: A nationwide survey- and register-based study in Denmark.

Amanda Paust, Claus Vestergaard, Susan M Smith, Karina Friis, Stine Schramm, Flemming Bro, Anna Mygind, Nynne Bech Utoft, James Larkin, Anders Prior

Abstract read
In one paragraph

Article in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Amanda PaustResearch Unit for General Practice, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-4983-2268
Claus VestergaardResearch Unit for General Practice, Aarhus, Denmark.ORCID https://orcid.org/0000-0003-2916-1548
Susan M SmithDiscipline of Public Health and Primary Care, School of Medicine, Trinity College Dublin, Dublin, Ireland.
Karina FriisDEFACTUM, Central Denmark Region, Aarhus, Denmark.
Stine SchrammNational Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-8039-8095
Flemming BroResearch Unit for General Practice, Aarhus, Denmark.ORCID https://orcid.org/0000-0001-5011-950X
Anna MygindResearch Unit for General Practice, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-9323-525X
Nynne Bech UtoftResearch Unit for General Practice, Aarhus, Denmark.ORCID https://orcid.org/0000-0001-9353-3946
James LarkinDepartment of General Practice, RCSI University of Medicine and Health Sciences, Dublin, Ireland.ORCID https://orcid.org/0000-0003-4339-5623
Anders PriorResearch Unit for General Practice, Aarhus, Denmark.ORCID https://orcid.org/0000-0003-4053-3701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPotentially inappropriate medication (PIM) is associated with negative health outcomes and can serve as an indicator of treatment quality. Previous studies have identified social inequality in treatment but often relied on narrow understandings of social position or failed to account for mediation by differential disease risk among social groups. Understanding how social position influences PIM exposure is crucial for improving the targeting of treatment quality and addressing health disparities. This study investigates the association between social position and PIM, considering the mediation effect of long-term conditions. METHODS AND

findingsThis cross-sectional study utilized data from the 2017 Danish National Health Survey, including 177,495 individuals aged 18 or older. Data were linked to national registers on individual-level. PIM was defined from the STOPP/START criteria and social position was assessed through indicators of economic, cultural, and social capital (from Bourdieu's Capital Theory). We analyzed odds ratios (ORs) and prevalence proportion differences (PPDs) for PIM using logistic regression, negative binomial regression, and generalized structural equation modeling. The models were adjusted for age and sex and analyzed separately for indicators of under- (START) and overtreatment (STOPP). The mediation analysis was conducted to separate direct and indirect effects via long-term conditions. Overall, 14.7% of participants were exposed to one or more PIMs, with START PIMs being more prevalent (12.5%) than STOPP PIMs (3.1%). All variables for social position except health education were associated with PIM in a dose-response pattern. Individuals with lower wealth (OR: 1.85 [95% CI 1.77, 1.94]), lower income (OR: 1.78 [95% CI 1.69, 1.87]), and lower education level (OR: 1.66 [95% CI 1.56, 1.76]) exhibited the strongest associations with PIM. Similar associations were observed for immigrants, people with low social support, and people with limited social networks. The association with PIM remained significant for most variables after accounting for mediation by long-term conditions. The disparities were predominantly related to overtreatment and did not relate to the number of PIMs. The study's main limitation is the risk of reverse causation due to the complex nature of social position and medical treatment.

conclusionsThe findings highlight significant social inequalities in PIM exposure, driven by both economic, cultural, and social capital despite a universal healthcare system. Understanding the social determinants of PIM can inform policies to reduce inappropriate medication use and improve healthcare quality and equity.

Indexed as

RegistriesSocioeconomic FactorsAdolescentAdultAgedCross-Sectional StudiesDenmarkFemaleHealthcare DisparitiesHumansInappropriate PrescribingMaleMiddle AgedPotentially Inappropriate Medication ListYoung Adult

Identifiers

PMID39565747
PMCPMC11578507

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.