Asymmetric Social Interactions in Physician Prescription Behavior: The Role of Opinion Leaders

Nair, Harikesh S.; Manchanda, Puneet; Bhatia, Tulikaa

doi:10.1509/jmkr.47.5.883

Cited by 265 publications

(55 citation statements)

References 31 publications

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“…Inversely, the target regarding the second type of objective might be most influenced by the GP’s social interactions with specialists or “opinion leaders” because, especially when changes occur in the therapeutic environment (e.g., pharmaceutical innovations or introduction of new guidelines), GPs solicit the opinions of specialists when making prescribing decisions [20]. …”

Section: Discussionmentioning

confidence: 99%

“…In particular, the interaction with specialists may emphasize the benefits of innovation at the expense of the GP’s goals associated with their gatekeeping function and norms (e.g., implement prescriptive standards); Nair and colleagues’ [20] concept of “asymmetric peer effect” intuitively suggests the dynamics associated with this type of social interaction. According to this line of reasoning, the information and advice flowing from a heterogeneous personal network are likely to conflict with the GP’s goals and negatively influence her/his capacity to accomplish the prescriptive targets.…”

Section: Discussionmentioning

confidence: 99%

“…In this respect, Nair et al [20] found that GPs were likely to be influenced by the prescribing behavior of specialist physicians (or “opinion leaders”) in their network when an exogenous phenomenon occurs (e.g., a new guideline or product), but the influence does not work in the opposite direction. They called this phenomenon the “asymmetric peer effect ” , which identifies the prominent influence of specialists on GPs’ prescribing behavior.…”

Section: Introductionmentioning

confidence: 99%

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The influential role of personal advice networks on general practitioners’ performance: a social capital perspective

Calciolari

González-Ortiz

Lega

2017

BMC Health Serv Res

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BackgroundIn several health systems of advanced countries, reforms have changed primary care in the last two decades. The literature has assessed the effects of a variety of interventions and individual factors on the behavior of general practitioners (GPs). However, there has been a lack of investigation concerning the influence of the resources embedded in the GPs’ personal advice networks (i.e., social capital) on GPs’ capacity to meet defined objectives.The present study has two goals: (a) to assess the GPs’ personal advice networks according to the social capital framework and (b) to test the influence of such relationships on GPs’ capacity to accomplish organizational goals.MethodsThe data collection relied on administrative data provided by an Italian local health authority (LHA) and a survey administered to the GPs of the selected LHA. The GPs’ personal advice networks were assessed through an ad-hoc instrument and interpreted as egocentric networks. Multivariate regression analyses assessed two different performance measures.ResultsSocial capital may influence the GPs’ capacity to meet targets, though the influence differs according to the objective considered. In particular, the higher the professional heterogeneity of a GP personal advice network, the lower her/his capacity is to meet targets of prescriptive appropriateness.ConclusionsOur findings might help to design more effective primary care reforms depending on the pursued goals. However, further research is needed.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The influential role of personal advice networks on general practitioners’ performance: a social capital perspective

Calciolari

González-Ortiz

Lega

2017

BMC Health Serv Res

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“…N Network clustering coefficient describes the degree of network collectivization [6], that is, it is used to identify whether there is a central tendency in the network. Whole network clustering coefficient is bigger, the network of centralized trend is higher, and the users of public opinion tend to the interaction with small groups [7].…”

Section: Whole Characteristics Evolution Analysismentioning

confidence: 99%

Tracing Public Opinion Propagation and Emotional Evolution Based on Public Emergencies in Social Networks

Huang

Wang

Cao

2018

INT J COMPUT COMMUN

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Social network has become the main communication platform for public emergencies, and it has also made the public opinion influence spread more widely. How to effectively obtain public opinions from it to guide the healthy development of the society is an important issue that the government and other functional departments are concerned about. However, the interaction and evolution mechanism between the subject and the environment in the public opinion propagation is complicated, and the public and media attention and reaction to the incident are closely linked with the progress of the incident disposal. And public mining corpus has some shortcomings in the distribution of emotional classification. Only the timely update of artificial rules and emotional dictionary resources, it can handle new text data well. In fact, from the perspective of public opinion propagation, this paper built the network matrix between Internet users through the forwarding relationship, and used the social network analysis method and the emotion mining analysis technology to study the interaction and evolution mechanism between the subject and the environment in the public opinion propagation, and it studied the role of users in the emotional propagation of social networks. This paper proposed a sentiment analysis method on the micro-blog platform, which expanded the emotional dictionary and took sentence and emoticon and sentence patterns into account, which improved the accuracy of positive and negative classifications and emotional polarity analysis of the micro-blog.

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“…Several studies have focused on the role played by social networks on the spread of information between individuals, by making use of email and blog databases and online social networks such as Twitter [11,12] and Facebook [6,7]. Such empirical studies have shown how social networks affect the propagation of health issues [13,14], ideas [15], criminal behavior [16,17], economic decisions [18,19], school achievement [20], and cooperation [21,22], among other human traits.…”

mentioning

confidence: 99%

Origin of Peer Influence in Social Networks

Pinheiro

Santos

et al. 2014

Phys. Rev. Lett.

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Social networks pervade our everyday lives: we interact, influence, and are influenced by our friends and acquaintances. With the advent of the World Wide Web, large amounts of data on social networks have become available, allowing the quantitative analysis of the distribution of information on them, including behavioral traits and fads. Recent studies of correlations among members of a social network, who exhibit the same trait, have shown that individuals influence not only their direct contacts but also friends' friends, up to a network distance extending beyond their closest peers. Here, we show how such patterns of correlations between peers emerge in networked populations. We use standard models (yet reflecting intrinsically different mechanisms) of information spreading to argue that empirically observed patterns of correlation among peers emerge naturally from a wide range of dynamics, being essentially independent of the type of information, on how it spreads, and even on the class of underlying network that interconnects individuals. Finally, we show that the sparser and clustered the network, the more far reaching the influence of each individual will be.

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Asymmetric Social Interactions in Physician Prescription Behavior: The Role of Opinion Leaders

Cited by 265 publications

References 31 publications

The influential role of personal advice networks on general practitioners’ performance: a social capital perspective

The influential role of personal advice networks on general practitioners’ performance: a social capital perspective

Tracing Public Opinion Propagation and Emotional Evolution Based on Public Emergencies in Social Networks

Origin of Peer Influence in Social Networks

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