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

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          Abstract

          Background

          The 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.

          Methods

          The 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.

          Results

          Early 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.

          Conclusions

          The 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.

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          Most cited references83

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          Social Contagion and Innovation: Cohesion versus Structural Equivalence

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            Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease.

            Socioeconomic status (SES) is usually measured by determining education, income, occupation, or a composite of these dimensions. Although education is the most commonly used measure of SES in epidemiological studies, no investigators in the United States have conducted an empirical analysis quantifying the relative impact of each separate dimension of SES on risk factors for disease. Using data on 2380 participants from the Stanford Five-City Project (85% White, non-Hispanic), we examined the independent contribution of education, income, and occupation to a set of cardiovascular disease risk factors (cigarette smoking, systolic and diastolic blood pressure, and total and high-density lipoprotein cholesterol). The relationship between these SES measures and risk factors was strongest and most consistent for education, showing higher risk associated with lower levels of education. Using a forward selection model that allowed for inclusion of all three SES measures after adjustment for age and time of survey, education was the only measure that was significantly associated with the risk factors (P less than .05). If economics or time dictate that a single parameter of SES be chosen and if the research hypothesis does not dictate otherwise, higher education may be the best SES predictor of good health.
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              Opinion Leadership and Social Contagion in New Product Diffusion

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                Author and article information

                Contributors
                agnes.lubloy@uni-corvinus.hu
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                20 October 2014
                2014
                : 14
                : 1
                : 469
                Affiliations
                Department of Finance, Institute of Finance and Accounting, Corvinus University of Budapest, Fővám tér 8, Budapest, 1093 Hungary
                Article
                3560
                10.1186/1472-6963-14-469
                4283087
                25331607
                2c464a6f-e607-47e9-a167-1be428c6f6a5
                © Lublóy; licensee BioMed Central Ltd. 2014

                This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 January 2014
                : 24 September 2014
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2014

                Health & Social care
                diffusion,drug characteristics,early adopters,new drugs,patient characteristics,pharmaceutical marketing,practice characteristics,prescriber characteristics,social networks of doctors,systematic literature review

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