Evidence map›Paper›PMID 27683515›Full record

ArticleBMJ open2016

Investigation of social, demographic and health variations in the usage of prescribed and over-the-counter medicines within a large cohort (South Yorkshire, UK).

Mark A Green, Emma Little, Richard Cooper, Clare Relton, Mark Strong

Abstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Over-the-Counter Medication Use among Parents in Saudi Arabia.International journal of environmental research and public health · 2023
    Article
  4. Observational
  5. Article
  6. Article
  7. Article
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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

5 authors.

Mark A GreenDepartment of Geography and Planning, University of Liverpool, Liverpool, UK School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Emma LittleSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Richard CooperSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Clare ReltonSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Mark StrongSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesPrescribed and over-the-counter (non-prescribed) medicine usage has increased in recent years; however, there has been less investigation of the socioeconomic predictors of use. This has been due to a lack of data, especially for over-the-counter medicines. Our study aims to understand how prescribed and over-the-counter medicine patterns vary by demographic, social and health characteristics within a large population cohort.

designCross-sectional data analysis.

settingSouth Yorkshire, UK.

participants27 806 individuals from wave 1 of the Yorkshire Health Study (2010-2012). MEASURES: Individuals self-reported each medicine they were taking and whether each was prescribed or not. The medicines were grouped into 14 categories (eg, cardiovascular system, infection, contraception). Negative binomial regression models were used to analyse the count of medicine usage. We included demographic (age, gender, ethnicity), social (education), health-related (body mass index, smoking, alcohol consumption, physical activity) factors and chronic health conditions (eg, stroke, anxiety and heart disease) in our analyses.

results49% of men and 62% of women were taking medicine with the majority of this prescribed (88% and 83%, respectively). Health conditions were found to be positively associated with prescribed medicine usage, but mixed in their associated with over-the-counter medicines. Educational attainment was negatively associated with prescribed and positively associated with over-the-counter usage.

conclusionsOur study addresses a dearth of evidence to provide new insights into how behaviours in medicine usage vary by demographic, social and health-related factors. Differences in over-the-counter medicine usage by educational attainment may help our understanding of the determinants of health inequalities.

Indexed as

EPIDEMIOLOGYPUBLIC HEALTHSOCIAL MEDICINE

Identifiers

PMID27683515
PMCPMC5051396

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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.