Online Information and Communication Systems to Enhance Health Outcomes Through Communication Convergence

Kreps, Gary L.

doi:10.1111/hcre.12117

Cited by 59 publications

(81 citation statements)

References 58 publications

(98 reference statements)

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“…These are not new ideas; these metaconstructs appear and reappear throughout the history of the field, albeit in different incarnations. There may be other metaconstructs (such as usability or controllability; see Kreps, ) and some of those suggested here may ultimately turn out to have less utility than expected. No matter which metaconstructs ultimately are the most useful, the central argument of this essay nevertheless is that to advance theory and bridge the separation that no longer exists between mass and interpersonal communication, research needs to focus on metaconstructs arising from both domains, that are (now) applicable and operational across contexts.…”

mentioning

confidence: 89%

The Merger of Mass and Interpersonal Communication via New Media: Integrating Metaconstructs

Walther

2017

Hum Commun Res

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The convergence of mass and interpersonal communication requires integration of underlying processes, or theoretical metaconstructs, that originated in formerly separate research domains. Several previous efforts to integrate mass and interpersonal communication fell short in this regard, and correspondent empirical work provides limited explanations. The article nominates 9 metaconstructs: distribution capacity, message persistence, audience, channels and cues, relationships, temporality, interactivity and mutual influence, message characteristics, and social goals. It suggests how these metaconstructs, in manifestations afforded by new media, can affect communication in important ways, with examples of studies that benefited from their inclusion. Consideration and integration of these metaconstructs, in individual studies or in streams of research, can expand the explanatory power and precision of research involving new media.

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confidence: 89%

The Merger of Mass and Interpersonal Communication via New Media: Integrating Metaconstructs

Walther

2017

Hum Commun Res

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“…Indeed, just as we expect that we can easily identify the best value for airline travel options or our current bank balance via intelligent devices and information systems, we expect no less from our health care system [28]. Together, these activities would serve to reinforce behavior change and support the patient and provider in ongoing efforts to optimize care planning and results.…”

Section: A Learning Network To Advocate For Pccdsmentioning

confidence: 99%

The Imperative for Patient-Centered Clinical Decision Support

Marcial¹,

Richardson²,

Lasater³

et al. 2018

eGEMs

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This commentary introduces the Patient-Centered Clinical Decision Support (PCCDS) Learning Network, which is collaborating with AcademyHealth to publish “Better Decisions Together” as part of eGEMs. Patient-centered clinical decision support (CDS) is an important vehicle to address broad issues in the U.S. health care system regarding quality and safety while also achieving better outcomes and better patient and provider satisfaction. Defined as CDS that supports individual patients and their care givers and/or care teams in health-related decisions and actions, PCCDS is an important step forward in advancing endeavors to move patient-centered care forward. The PCCDS Learning Network has developed a framework, referred to as the Analytic Framework for Action (AFA), to organize thinking and activities around PCCDS. A wide array of activities the PCCDS Learning Network is engaging in to inform and connect stakeholders is discussed.

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Section: Vector 3: How Can the Efficiencies Of Mass Communication Cammentioning

confidence: 99%

“…So, the process optimizes the effectiveness of tailored choice with the efficiency of automatic selection from a pool of choices. The collaborative filtering process takes the place of personalized recommendations delivered by peers with similar tastes (see Kreps, 2017). Miller and Steinberg's (1975) approach to interpersonal communication highlighted the importance of the tailoring of information in unique ways to those with whom personal relationships developed.…”

Section: Recommendation Systems Offer New Venues For Normative Influencementioning

confidence: 99%

Vectors into the Future of Mass and Interpersonal Communication Research: Big Data, Social Media, and Computational Social Science

Cappella

2017

Hum Commun Res

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Simultaneous developments in big data, social media, and computational social science have set the stage for how we think about and understand interpersonal and mass communication. This article explores some of the ways that these developments generate 4 hypothetical “vectors” – directions – into the next generation of communication research. These vectors include developments in network analysis, modeling interpersonal and social influence, recommendation systems, and the blurring of distinctions between interpersonal and mass audiences through narrowcasting and broadcasting. The methods and research in these arenas are occurring in areas outside the typical boundaries of the communication discipline but engage classic, substantive questions in mass and interpersonal communication.

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Online Information and Communication Systems to Enhance Health Outcomes Through Communication Convergence

Cited by 59 publications

References 58 publications

The Merger of Mass and Interpersonal Communication via New Media: Integrating Metaconstructs

The Merger of Mass and Interpersonal Communication via New Media: Integrating Metaconstructs

The Imperative for Patient-Centered Clinical Decision Support

Vectors into the Future of Mass and Interpersonal Communication Research: Big Data, Social Media, and Computational Social Science

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