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Digital sustainability: basic conditions for sustainable digital artifacts and their ecosystems.

ABSTRACT: The modern age has heralded a shift from the industrial society, in which natural resources are crucial input factors for the economy, towards a knowledge society. To date, sustainability literature has treated knowledge-and in particular digital artifacts-mainly as a means to the end of achieving sustainable development. In this conceptual paper, we argue that digital artifacts themselves ought also to be considered as resources, which also need to be sustainable. While over-consumption is a problem facing natural resources, with sustainable digital artifacts, underproduction, and underuse are the biggest challenges. In our view, the sustainability of digital artifacts improves their potential impact on sustainable development. A theoretical foundation for digital artifacts and their ecosystem allows us to present the relevant research on digital information, knowledge management, digital goods, and innovation literature. Based on these insights, we propose ten basic conditions for sustainable digital artifacts and their ecosystem to ensure that they provide the greatest possible benefit for sustainable development. We then apply those characteristics to four exemplary cases: Linux kernel development, Bitcoin cryptocurrency, the Wikipedia project, and the Linking Open Drug Data repositories. The paper concludes with a research agenda identifying topics for sustainability scholars and information systems academics, as well as practitioners. A number of suggestions for future studies on digital sustainability are also put forward.

SUBMITTER: Stuermer M

PROVIDER: S-EPMC6106115 | biostudies-other | 2017

REPOSITORIES: biostudies-other

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Digital sustainability: basic conditions for sustainable digital artifacts and their ecosystems.

Stuermer Matthias M Abu-Tayeh Gabriel G Myrach Thomas T

Sustainability science 20161201 2

The modern age has heralded a shift from the industrial society, in which natural resources are crucial input factors for the economy, towards a knowledge society. To date, sustainability literature has treated knowledge-and in particular digital artifacts-mainly as a means to the end of achieving sustainable development. In this conceptual paper, we argue that digital artifacts themselves ought also to be considered as resources, which also need to be sustainable. While over-consumption is a pr ...[more]

PMID: 30174752

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Project description:BackgroundDigital health technologies (DHTs) can facilitate the execution of de-centralized trials that can offer opportunities to reduce the burden on participants, collect outcome data in a real-world setting, and potentially make trial populations more diverse and inclusive. However, DHTs can also be a significant source of electronic waste (e-waste). In recognition of the potential health and environmental impact from DHT use in trials, private and public institutions have recently launched initiatives to help measure and manage this e-waste. But in order to develop sound e-waste management policies, it will be necessary to first estimate the current volume of e-waste that results from the use of DHTs in trials.Materials and methodsA Web Ontology Language (OWL)-compliant ontology of DHTs was created using a list of 500 DHT device names derived from a mixture of public and private sources. The U.S. clinical trials registry, ClinicalTrials.gov, was then queried to identify and classify trials using any of the devices in the ontology. The ClinicalTrials.gov records from this search were then analyzed to characterize the volume and properties of trials using DHTs, as well as estimating the total volume of individual DHT units that have been provisioned (or are planned to be provisioned) for clinical research.ResultsOur ontology-driven search identified 2326 unique clinical trials with a reported "actual" enrollment of 200,947 participants and a "planned" enrollment of an additional 4,094,748 participants. The most-used class of DHTs in our ontology was "wearables," (1852 trials), largely driven by the use of smart watches and other wrist-worn sensors (estimated to involve 149,391 provisioned devices). The most-used subtype of DHTs in trials was "subcutaneous" devices (367 trials), driven by the prevalent use and testing of glucose monitors (estimated to involve 17,666 provisioned devices).ConclusionThousands of trials, involving hundreds of thousands of devices, have already been completed, and many more trials (potentially involving millions more devices) are planned. Despite the great opportunities that are afforded by DHTs to the clinical trial enterprise, if the industry lacks the ability to track DHT use with sufficient resolution, the result is likely to be a great deal of e-waste. A new ontology of DHTs, combined with rigorous data science methods like those described in this paper, can be used to provide better information across the industry, and in turn, help create a more sustainable and equitable clinical trials enterprise.

Project description:BACKGROUND:Sustaining health promotion programs (HPP) is critical to maintain their intended health benefits, community capacity, and to optimize resources and investment. However, not all programs are sustained beyond their initial implementation period. This is partly due to uncertainty regarding sustainability: lack of a clear definition; infrequent use of a sustainability framework; and lack of understanding of the factors that influence sustainability. The aim of this systematic review is to identify barriers and facilitators that promote or inhibit the sustainability of HPP, particularly those that can be considered in program planning. METHODS:Two search strategies were used: 1) electronic database searching; and 2) grey literature searching. Inclusion criteria included papers published since 1998, in English, focusing on the sustainability of HPP that explicitly used a sustainability framework and specifically reported on facilitators and barriers to sustainability. Exclusion criteria included papers that addressed environmental, system or sector sustainability. Quality assessment was conducted on all included papers and a quality assessment tool was developed for grey literature. Data analysis included a thematic analysis, using an a priori framework to initially code barriers and facilitators, which were then grouped into factors for HPP sustainability. Factors were then analyzed for frequency, importance, and relevance, and categorized into one of three tiers. RESULTS:Sixteen papers were included in this review. Eleven definitions of sustainability and 13 sustainability frameworks were used. A total of 83 barriers and 191 facilitators were identified and categorized into 14 factors: nine from the a priori framework, and five additional ones based on the results of our analysis. Tier 1 factors were the most important for sustainability with organizational capacity scoring the highest; tier 3, the least important. CONCLUSION:This review provides clarity regarding existing definitions of sustainability and sustainability frameworks. It identifies fourteen factors that influence program sustainability, which practitioners can consider when planning, developing and implementing HPP. In addition, it is important for practitioners to clearly articulate program elements that should be sustained, define sustainability as it relates to the context of their program, select a sustainability framework to guide their work, and consider these factors for sustainability.

Project description:BACKGROUND:There are various complex reasons that influence sustainable adoption of innovations in health care systems. Low adoption can be caused by a lack of support from one or more stakeholders because their needs and expectations are not always considered or aligned. OBJECTIVE:This study aimed to identify stakeholders' perceptions of barriers and facilitators toward the sustainable adoption of digital health innovations. METHODS:A stakeholder workshop was attended by 12 participants with a range of backgrounds on August 25, 2017, including people representing the views from patients, carers, local hospitals, pharmacy retailers, health insurers, health services researchers, engineers, and technology and pharmaceutical companies in Switzerland. On the basis of adoption of innovation frameworks, we asked participants to interview each other about 3 factors influencing the adoption of digitally delivered health interventions: (1) Facilitators and barriers in the external system, (2) Needs and expectations of stakeholders, and (3) Safety, quality, and usability of innovations. The worksheets and videos generated from the workshop were qualitatively analyzed and summarized. RESULTS:Facilitators for adoption mentioned were high levels of income and education, and digital health is a high priority to stakeholders. Main common interests of different stakeholders were patient satisfaction and job protection. Health care spending was a misaligned interest: although some stakeholders were keen on spending more to obtain or provide the highest quality of care, others were focused on reducing health care spending to provide cost-effective services. Switzerland's diversity and complexity, in terms of its organization with 26 cantons (administrative divisions), were barriers as these made it harder to ensure interoperability of interventions. A culture of innovation was considered a push factor, but adoption was inhibited by persistent paper-based systems, a fear of change, and unwillingness to share data. The sustainability of interventions can be promoted by making them patient-centered, meaning that patients should be involved throughout their development. CONCLUSIONS:Promoting sustainable adoption of digital health remains challenging despite various push factors being in place. Barriers related to fragmentation, patient-centeredness, data security, privacy, trust, and job security need to be addressed. A strength is that people from a wide range of backgrounds attended the workshop. A limitation is that the findings are focused on the macro level. In-depth case studies of specific issues need to be conducted in different settings.

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Digital sustainability: basic conditions for sustainable digital artifacts and their ecosystems.

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Digital sustainability: basic conditions for sustainable digital artifacts and their ecosystems.

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