The Diffusion of an Innovation Among Physicians in a Large City

Winick, Charles

doi:10.2307/2785920

Cited by 41 publications

(22 citation statements)

References 2 publications

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“…Since the seminal work on the adoption of new medicines was published in the 1960s [4-7], relatively little attention has been paid to measuring population-wide adoption of prescription drugs in healthcare. The intervening period has seen dramatic increases in the volume of published evidence [8,9], the rise of me-too drugs [10], and increasing concerns about the confluence of clinical evidence and marketing [11-15].…”

Section: Introductionmentioning

confidence: 99%

Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model

Dunn

Braithwaite

Gallego

et al. 2012

BMC Health Serv Res

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BackgroundThe adoption of new medicines is influenced by a complex set of social processes that have been widely examined in terms of individual prescribers’ information-seeking and decision-making behaviour. However, quantitative, population-wide analyses of how long it takes for new healthcare practices to become part of mainstream practice are rare.MethodsWe applied a Bass diffusion model to monthly prescription volumes of 103 often-prescribed drugs in Australia (monthly time series data totalling 803 million prescriptions between 1992 and 2010), to determine the distribution of adoption rates. Our aim was to test the utility of applying the Bass diffusion model to national-scale prescribing volumes.ResultsThe Bass diffusion model was fitted to the adoption of a broad cross-section of drugs using national monthly prescription volumes from Australia (median R2 = 0.97, interquartile range 0.95 to 0.99). The median time to adoption was 8.2 years (IQR 4.9 to 12.1). The model distinguished two classes of prescribing patterns – those where adoption appeared to be driven mostly by external forces (19 drugs) and those driven mostly by social contagion (84 drugs). Those driven more prominently by internal forces were found to have shorter adoption times (p = 0.02 in a non-parametric analysis of variance by ranks).ConclusionThe Bass diffusion model may be used to retrospectively represent the patterns of adoption exhibited in prescription volumes in Australia, and distinguishes between adoption driven primarily by external forces such as regulation, or internal forces such as social contagion. The eight-year delay between the introduction of a new medicine and the adoption of the prescribing practice suggests the presence of system inertia in Australian prescribing practices.

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Section: Introductionmentioning

confidence: 99%

Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model

Dunn

Braithwaite

Gallego

et al. 2012

BMC Health Serv Res

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“…1998). And early work on the diffusion of innovation brought a focus on social networks (Winick 1961, Coleman et al. 1966), how they might be patterned (McGettigan et al.…”

Section: Introductionmentioning

confidence: 99%

The role of etiquette and experimentation in explaining how doctors change behaviour: a qualitative study

Armstrong

Ogden

2006

Sociology Health & Illness

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Despite increasing interest over the last 30 years in individual variations in clinical practice, various research studies have thrown only limited light on either understanding or changing doctors' behaviour. This qualitative study explored a sample of British general practitioners' accounts of the influences on their prescribing, and identified the locus of the problem in their defence of professional identity through clinical autonomy, a tactic that precluded use of more customary change agents such as line management and economic incentives. The study identified two mechanisms, clinical etiquette and clinical experimentation, however, that enabled change to occur within the constraints imposed by the commitment to clinical autonomy.

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“…Also, normative influences in a less specific context than stated by Fishbein were found to be important determinants of drug choice [9,18,29]. The results in Table 6 show that RxI is significantly, though fairly weakly, related to (NB)(Mc) using direct regression.…”

Section: Normative Beliefs and Motivation To Comply-(nb) (Mc) And Rximentioning

confidence: 74%

“…Work in this area has involved the study of physicians, the subject of this research, and previous studies have found social influences to be important determinants of drug choice [9,18,29].…”

Section: Fishbein's Extension Of Dulany's Theory Of Propositional Conmentioning

confidence: 99%

An Evaluation of the Expectancy Value Model of Attitude Measurement for Physician Prescribing Behavior

Harrell¹,

Bennett²

1974

Journal of Marketing Research

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The Diffusion of an Innovation Among Physicians in a Large City

Cited by 41 publications

References 2 publications

Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model

Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model

The role of etiquette and experimentation in explaining how doctors change behaviour: a qualitative study

An Evaluation of the Expectancy Value Model of Attitude Measurement for Physician Prescribing Behavior

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