Physician Resistance to Innovations: The Case of Contract Medicine

Ferraro, Kenneth F.

doi:10.1080/00380237.1993.10571001

Cited by 5 publications

(6 citation statements)

References 36 publications

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“…Highly centralized, stratified networks use coercive pressure on their members to achieve conformity of practices, causing homogeneity and increasing rates of adoption. Mizruchi's findings were supported by Conell & Cohen's (1995) study on the effects of national labor unions in controlling the spread of strikes, by Scott & Meyer's (1994) analysis of the promotion of uniform technological practices by industrial organizations, and by Ferraro's (1993) finding that a medical organization (American Medical Association) delayed the diffusion of HMOs by transmitting discouraging information among physicians.…”

Section: Position In Social Networkmentioning

confidence: 92%

“…■ public versus private consequences ■ benefits versus costs 2. Characteristics of innovators ■ societal entity ■ familiarity with the innovation ■ status characteristics ■ socioeconomic characteristics ■ position in social networks ■ personal characteristics 300 WEJNERT 1993, Rogers & Kincaid 1981, new medical practices (Coleman et al 1966, Ferraro 1993, improving agricultural technologies (Ryan & Gross 1943, Saltiel et al 1994, Sommers & Napier 1993 or management styles and technological production (Oakley et al 1992, Straub 1994, Palmer et al 1993). The micro-goals of such innovations reflect the needs of an individual person or a collectivity, such as improvement of living standards, enhancement of a group's or a person's reputation, or increases in a company's productivity.…”

Section: Characteristics Of Innovationsmentioning

confidence: 99%

“…Such innovations depend on interactions through strong ties, such as the community ties and face-to-face interactions critical, e.g., for adoption of fertility-control methods (Rogers & Kincaid 1981), and the network connectedness that facilitates interpersonal interactions in the adoption of scientific methods in professional specialties (Valente 1995, Valente & Rogers 1995. Furthermore, whether an innovation is considered for adoption by an individual actor is strongly determined by compatibility between the characteristics of an innovation and the needs of an actor (Ferraro 1993, Fliegel 1993, Freedman & Takeshita 1969, Saltiel et al 1994, Valente 1993, Valente & Rogers 1995.…”

Section: Societal Entity Of Innovatorsmentioning

confidence: 99%

“…Another kind of effect is educational, such as providing professional advising on new developments, workshops dedicated to innovation promotions, publication of experts' opinions in newsletters, and discussions with academic consultants on the beneficial aspects of adoption . Still others are coercive, by using explicit or implicit rewards or negative contingencies to produce conformity and compliance with respect to adoptive behavior (Ferraro 1993, Usselman 1991; or modeling, by providing standard, uniform models of correct decisions (Mizruchi 1993).…”

Section: Position In Social Networkmentioning

confidence: 99%

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Integrating Models of Diffusion of Innovations: A Conceptual Framework

2002

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This chapter provides a conceptual framework for integrating the array of variables defined in diffusion research to explicate their influence on an actor's decision to adopt an innovation. The framework groups the variables into three major components. The first component includes characteristics of the innovation itself, within which two sets of variables are defined concerning public versus private consequences and benefits versus costs of adoption. A second component involves the characteristics of innovators (actors) that influence the probability of adoption of an innovation. Within this component six sets of variables concern societal entity of innovators (either people, organizations, states, etc.), familiarity with the innovation, status characteristics, socioeconomic characteristics, position in social networks, and personal qualities. The third component involves characteristics of the environmental context that modulate diffusion via structural characteristics of the modern world. These latter characteristics incorporate four sets of variables: geographical settings, societal culture, political conditions, and global uniformity. The concluding analysis highlights the need in diffusion research to incorporate more fully (a) the interactive character of diffusion variables, (b) the gating function of diffusion variables, and (c) effects of an actor's characteristics on the temporal rate of diffusion.

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Section: Position In Social Networkmentioning

confidence: 92%

Section: Characteristics Of Innovationsmentioning

confidence: 99%

Section: Societal Entity Of Innovatorsmentioning

confidence: 99%

Section: Position In Social Networkmentioning

confidence: 99%

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Integrating Models of Diffusion of Innovations: A Conceptual Framework

2002

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“…New graduates tend to want a salary immediately upon graduation, which often means becoming an employee of an HMO (or a well-established large group practice that relies on managed care contracts), rather than starting their own practices and struggling financially. HMO physicians are more likely to think a physician surplus is emerging and that HMOs offer better working arrangements (Ferraro, 1993).…”

Section: Differences Between Younger and Older Practitionersmentioning

confidence: 99%

Bringing the Physician Back In: Communication Predictors of Physicians' Satisfaction With Managed Care

Lammers

Duggan

2002

Health Communication

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Data from a survey of physicians in a west coast city (n = 356) are used to measure physicians' extra-occupational sources of dissatisfaction. Data revealed a significant relationship between physicians' satisfaction and their managed care experience, their communication with managed care organizations, and views of managed care practice. Results suggest that managed care currently plays a large and significant role in predicting physicians' satisfaction. The importance of communication between physicians and managed care organizations is illustrated in the strength of the relationships between communication variables and managed care decisions. Furthermore, in assessing the strength of the relationship, regression analysis reveals that communication with managed care accounts for the largest percentage of variance in physicians' satisfaction. The results of this study suggest that communication with managed care organizations affects physicians' satisfaction with every facet of the organizational environment, including leading physicians who report problematic communication with managed care organizations to say that they would be less likely to choose the same career path again.

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