Evidence map›Paper›PMID 29217723›Full record

ArticleBMJ open2017

'At-risk' individuals' responses to direct to consumer advertising of prescription drugs: a nationally representative cross-sectional study.

Neda Khalil Zadeh, Kirsten Robertson, James A Green

Abstract read
In one paragraph

Article in BMJ open, 2017. 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

3 authors.

Neda Khalil ZadehDepartment of Marketing, School of Business, University of Otago, Dunedin, Otago, New Zealand.ORCID http://orcid.org/0000-0003-1396-5170
Kirsten RobertsonDepartment of Marketing, School of Business, University of Otago, Dunedin, Otago, New Zealand.ORCID http://orcid.org/0000-0003-3133-9763
James A GreenSchool of Pharmacy, University of Otago, Dunedin, Otago, New Zealand.ORCID http://orcid.org/0000-0002-7309-0751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe factors determining individuals' self-reported behavioural responses to direct to consumer advertising of prescription drugs were explored with an emphasis on 'at-risk' individuals' responses.

designNationally representative cross-sectional survey.

settingCommunity living adults in New Zealand.

participants2057 adults (51% women). PRIMARY OUTCOME MEASURES: Self-reported behavioural responses to drug advertising (asking a physician for a prescription, asking a physician for more information about an illness, searching the internet for more information regarding an illness and asking a pharmacist for more information about a drug).

methodsMultivariate logistic regressions determined whether participants' self-reported behavioural responses to drug advertising were predicted by attitudes towards advertising and drug advertising, judgements about safety and effectiveness of advertised drugs, self-reported health status, materialism, online search behaviour as well as demographic variables.

resultsIdentifying as Indian and to a less extent Chinese, Māori and 'other' ethnicities were the strongest predictors of one or more self-reported responses (ORs 1.76-5.00, Ps

conclusionsTaken together, the findings suggest individuals, especially those who are 'at-risk' (ie, with poorer self-reported health status, older, less educated, lower income and ethnic minorities), may be more vulnerable to drug advertising and may make uninformed decisions accordingly. The outcomes raise significant concerns relating to the ethicality of drug advertising and suggest a need for stricter guidelines to ensure that drug advertisements provided by pharmaceutical companies are ethical.

Indexed as

Attitude to HealthConsumer BehaviorDirect-to-Consumer AdvertisingAdultAgedCross-Sectional StudiesEducational StatusFemaleHealth StatusHumansInternetMaleMiddle AgedMultivariate AnalysisNew ZealandOdds RatioPrescription Drugs‘at risk’ individualsdirect to consumer advertisingprescription drugsself-reported behavioural responses to drug advertisingstructural influence model of health communication

Identifiers

PMID29217723
PMCPMC5728274

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.