Evidence map›Paper›PMID 25331607›Full record

SynthesisBMC health services research2014

Factors affecting the uptake of new medicines: a systematic literature review.

Ágnes Lublóy

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03687060 (Behavioral Economics and Implementation Research to Reduce Cardiovascular Risk in HIV-Infected Adults), which is not on this map. Cited by 111 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 6 pooled it
–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.

NCT03687060 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Behavioral Economics and Implementation Research to Reduce Cardiovascular Risk in HIV-Infected Adults

TypeinterventionalSponsorUniversity of California, Los AngelesRan2019 to 2024Enrolled75ConditionsHIV, Cardiovascular DiseasesArmsKnowledge assessment, Education Intervention, Provider Feedback
3 · Its place in the literature

Who cites it

111 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Factors Influencing Prescribing Decisions of Physicians: A Review.Ethiopian journal of health sciences · 2018
    Pooled it
  5. Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018
    Pooled it
  6. Prescribers' Knowledge and Skills for Interpreting Research Results: A Systematic Review.The Journal of continuing education in the health professions · 2017
    Pooled it
  7. Trial
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  10. Geographic variation in the impact of novel melanoma therapies on mortality.Journal of the American Academy of Dermatology · 2026
    Article
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  17. Socioeconomic vulnerability and osteoporosis treatment disparities during COVID-19 lockdown among U.S. medicare enrollees who initiated romosozumab.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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51 more citing papers are in PubMed but not listed here.

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

1 author.

Ágnes LublóyDepartment of Finance, Institute of Finance and Accounting, Corvinus University of Budapest, Fővám tér 8, Budapest 1093, Hungary. agnes.lubloy@uni-corvinus.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe successful diffusion of new drugs is crucial for both pharmaceutical companies and patients-and of wider stakeholder concern, including for the funding of healthcare provision. Micro-level characteristics (the socio-demographic and professional characteristics of medical professionals), meso-level characteristics (the prescribing characteristics of doctors, the marketing efforts of pharmaceutical companies, interpersonal communication among doctors, drug attributes, and the characteristics of patients), and macro-level characteristics (government policies) all influence the diffusion of new drugs. This systematic literature review examines the micro- and meso-level characteristics of early prescribers of newly introduced drugs. Understanding the characteristics of early adopters may help to speed up the diffusion process, promote cost-efficient prescribing habits, forecast utilisation, and develop targeted intervention strategies.

methodsThe PubMed and Scopus electronic databases were chosen for their extensive coverage of the pertinent literature and used to identify 205 potentially relevant studies by means of a four-layered search string. The 35 studies deemed eligible were then synthetized carefully and critically, to extract variables relevant to this review.

resultsEarly adoption of new drugs is not a personal trait, independent of drug type, but early adopters share both micro- and meso-level characteristics. At prescriber level, doctors' interest in particular therapeutic areas, participation in clinical trials, and volume of prescribing-either in total or within the therapeutic class of the new drug-increase the likelihood of early adoption. The marketing efforts of pharmaceutical companies and doctors' professional and social interactions leading to prescribing contagion are very powerful predictors of new drug uptake. At patient level, doctors with younger patients, patients with higher socioeconomic statuses and/or patients with poorer health statuses are more inclined to prescribe new drugs early. In contrast, the socio-demographic characteristics of prescribers and many practice-related factors play little role in the adoption process.

conclusionsThe most powerful predictors of new drug uptake include the doctors' strong scientific commitment, high prescribing volume in total or in within the therapeutic class of the new drug, high exposure to marketing, and intense communication with colleagues.

Indexed as

Drug UtilizationPractice Patterns, Physicians'Decision MakingDiffusion of InnovationHumans

Identifiers

PMID25331607
PMCPMC4283087

What OpenQuestion holds

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Registered trials

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.