Literature DB >> 22738742

From eHealth technologies to interventions.

Rik Crutzen.   

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Year:  2012        PMID: 22738742      PMCID: PMC3415066          DOI: 10.2196/jmir.2050

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


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Van Gemert-Pijnen and colleagues recently presented an impressive viewpoint paper describing a holistic framework for the development of eHealth technologies, based on a review of existing eHealth frameworks [1]. As this review was limited to eHealth frameworks, the resulting holistic framework is focused on creating technologies instead of interventions. In my and others’ opinion, however, “interactive technologies are a tool, not a panacea” [2]. Therefore, it is useful – in addition to the holistic framework for the development of eHealth technologies – to look at intervention development approaches in general. Intervention Mapping, for example, focuses on the planning and development of effective interventions, not limited to eHealth technologies [3]. Comparable to the holistic framework, this is an iterative approach that takes into account social dynamics by incorporating stakeholders in a so-called linkage group. This linkage group consists of end users (e.g., patients) as well as intermediaries (e.g., nurse practitioners) and decision makers (e.g., department head, policy makers). It is striking to see the overlap between the activities mentioned in the holistic framework and the steps to be taken within Intervention Mapping (Table 1). Besides the overlap, Table 1 also indicates the differences in terminology used throughout the literature. Contextual inquiry, for example, entails “information gathering from the intended users and the environment in which the technology will be implemented” [1]. This is comparable to a key component of a needs assessment which encompasses “an effort to understand the character of the community, its members, and its strengths” [3]. During value specification, values are determined and ranked “based on the importance of finding solutions for the identified problems” [1]. One of the key tasks in the second step of Intervention Mapping is to select important and changeable determinants of behavioral and environmental outcomes [3].
Table 1

Activities in the holistic framework and steps within Intervention Mapping

Holistic framework Intervention Mapping
Contextual inquiry Needs assessment
Value specification Matrices of change objectives
Design Theory-based intervention methods and practical applications
Intervention program
Operationalization Adoption and implementation
Summative evaluation Evaluation
More important than differences in terminology, however, are substantive differences between the holistic framework and Intervention Mapping. The two most important differences refer to the impact and uptake of eHealth technologies (both concepts mentioned in the title of the viewpoint paper [1]). First, splitting up the design activity in two successive steps in Intervention Mapping is not merely a case of semantics or being more detailed. Active ingredients in interventions need to be based on theory-based intervention methods. These methods are to be translated into practical applications. Subsequently, these practical applications are incorporated while producing intervention programs. This results, finally, in intervention programs targeted at important and changeable determinants of behavioral and environmental outcomes, thereby increasing the likelihood of effective interventions (i.e., increasing their impact). Furthermore, it is insightful to look at active ingredients in interventions to unravel what works [4, 5], which can be facilitated by specifying methods and applications beforehand. Second, with regard to uptake, the idea of Van Gemert-Pijnen and colleagues that long-term implementation requires business modeling is accepted with open arms. Although the role of cost-effectiveness analysis in health and medicine has been acknowledged for a while [6], business modeling is the next step that needs to be taken. Concepts and techniques from business modeling help to identify critical factors for the implementation, as Van Limburg and colleagues elaborated on in their companion paper [7]. Based on these differences, this letter should be seen as a call for integration: to treat interventions as technologies or even products that need to be marketed and require business modeling, as well as to focus on the content of interventions by means of producing intervention programs based on theory-based intervention methods that are translated into practical applications. In this way, eHealth interventions can effectively change health risk behaviors and their determinants [8] and their long-term public health potential can be actualized [9]. Activities in the holistic framework and steps within Intervention Mapping
  7 in total

Review 1.  The delivery of public health interventions via the Internet: actualizing their potential.

Authors:  Gary G Bennett; Russell E Glasgow
Journal:  Annu Rev Public Health       Date:  2009       Impact factor: 21.981

Review 2.  The role of cost-effectiveness analysis in health and medicine. Panel on Cost-Effectiveness in Health and Medicine.

Authors:  L B Russell; M R Gold; J E Siegel; N Daniels; M C Weinstein
Journal:  JAMA       Date:  1996-10-09       Impact factor: 56.272

3.  Is it time to start focusing on the content of computer-delivered interventions?

Authors:  Rik Crutzen
Journal:  Addiction       Date:  2011-07-27       Impact factor: 6.526

4.  Health promotion by social cognitive means.

Authors:  Albert Bandura
Journal:  Health Educ Behav       Date:  2004-04

5.  Computer-delivered interventions for health promotion and behavioral risk reduction: a meta-analysis of 75 randomized controlled trials, 1988-2007.

Authors:  David B Portnoy; Lori A J Scott-Sheldon; Blair T Johnson; Michael P Carey
Journal:  Prev Med       Date:  2008-02-20       Impact factor: 4.018

Review 6.  A holistic framework to improve the uptake and impact of eHealth technologies.

Authors:  Julia E W C van Gemert-Pijnen; Nicol Nijland; Maarten van Limburg; Hans C Ossebaard; Saskia M Kelders; Gunther Eysenbach; Erwin R Seydel
Journal:  J Med Internet Res       Date:  2011-12-05       Impact factor: 5.428

Review 7.  Why business modeling is crucial in the development of eHealth technologies.

Authors:  Maarten van Limburg; Julia E W C van Gemert-Pijnen; Nicol Nijland; Hans C Ossebaard; Ron M G Hendrix; Erwin R Seydel
Journal:  J Med Internet Res       Date:  2011-12-28       Impact factor: 5.428

  7 in total
  6 in total

1.  Active patient participation in the development of an online intervention.

Authors:  Inge Renske van Bruinessen; Evelyn M van Weel-Baumgarten; Harm Wouter Snippe; Hans Gouw; Josée M Zijlstra; Sandra van Dulmen
Journal:  JMIR Res Protoc       Date:  2014-11-06

2.  Assessment of functioning in Dutch primary care: Development study of a consultation tool for patients with chronic conditions and multimorbidity.

Authors:  Simone Postma; Henk Schers; Tom van de Belt; Kees van Boven; Huib Ten Napel; Hugo Stappers; Debby Gerritsen; Tim Olde Hartman
Journal:  Health Expect       Date:  2022-05-24       Impact factor: 3.318

3.  Prevalence and characteristics of smokers interested in internet-based smoking cessation interventions: cross-sectional findings from a national household survey.

Authors:  Jamie Brown; Susan Michie; Tobias Raupach; Robert West
Journal:  J Med Internet Res       Date:  2013-03-18       Impact factor: 5.428

4.  The behavioral intervention technology model and intervention mapping: the best of both worlds.

Authors:  Rik Crutzen
Journal:  J Med Internet Res       Date:  2014-08-05       Impact factor: 5.428

5.  Promoting business and entrepreneurial awareness in health care professionals: lessons from venture capital panels at medicine 2.0 conferences.

Authors:  Talya Miron-Shatz; Itamar Shatz; Stefan Becker; Jigar Patel; Gunther Eysenbach
Journal:  J Med Internet Res       Date:  2014-08-06       Impact factor: 5.428

6.  Older Cancer Patients' User Experiences With Web-Based Health Information Tools: A Think-Aloud Study.

Authors:  Sifra Bolle; Geke Romijn; Ellen M A Smets; Eugene F Loos; Marleen Kunneman; Julia C M van Weert
Journal:  J Med Internet Res       Date:  2016-07-25       Impact factor: 5.428

  6 in total

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