Invited Commentary on Stewart and Davis “ ‘Big data’ in mental health research—current status and emerging possibilities”

Hafferty, Jonathan D.; Smith, Daniel J.; McIntosh, Andrew M.

doi:10.1007/s00127-016-1294-4

Cited by 8 publications

(55 citation statements)

References 8 publications

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“…21,26,27 POSSIBLE SOLUTIONS: Improvements such as searchable catalogues, databases and the availability of open platforms can mitigate infrastructure-related challenges. 16,18,19,20,21,24,27,28 Similarly, the availability of infrastructure for the storage and integration of unstructured data can enable collaborative efforts, facilitate standardization, and foster the alignment of unstructured data with good research question development and research design. 21 Furthermore, the availability of secure collaborative platforms and repositories for data sharing through open science can enable independent knowledge gain and foster new research studies.…”

Section: Infrastructure and Human Resourcesmentioning

confidence: 99%

“…18 Finally, awareness about novel digital unstructured data enrichment methods, their methodological requirements, and the need for specialized training opportunities should be increased. 20,21…”

Section: Infrastructure and Human Resourcesmentioning

confidence: 99%

“…Many studies highlighted the need for further research and guideline development on best practices to use and integrate unstructured data in health research. 18,20,21,22,23,28,29 In Table 1, we provide a set of guiding questions to inform early study planning and the assessment of the feasibility of studies.…”

Section: Proposal For a Feasibility And Planning Checklist For Unstru...mentioning

confidence: 99%

“…The aim of unstructured data integration might differ depending on research tasks, e.g., description (such as describing a disease progression), prediction (predicting outcomes), exploration (to find new patterns or generate a new hypothesis), explanation (to establish causality) or application (such as the development of a practical tool for diagnosis). Infrastructure for Processing and Analysis 15,16,17,18,20,21,23,27,28,29 15. Does the research team have relevant skills/ or access to experts to approach for integration of unstructured data?…”

Section: Can Meta-information Offer Sufficient Contextual Information...mentioning

confidence: 99%

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Challenges and best practices for digital unstructured data enrichment in health research: a systematic narrative review

Sedláková

Daniore

Wintsch

et al. 2022

Preprint

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Digital data play an increasingly important role in advancing medical research and care. However, most digital data in healthcare are in an unstructured and often not readily accessible format for research. Specifically, unstructured data are available in a non-standardized format and require substantial preprocessing and feature extraction to translate them to meaningful insights. This might hinder their potential to advance health research, prevention, and patient care delivery, as these processes are resource intensive and connected with unresolved challenges. These challenges might prevent enrichment of structured evidence bases with relevant unstructured data, which we refer to as digital unstructured data enrichment. While prevalent challenges associated with unstructured data in health research are widely reported across literature, a comprehensive interdisciplinary summary of such challenges and possible solutions to facilitate their use in combination with existing data sources is missing. In this study, we report findings from a systematic narrative review on the seven most prevalent challenge areas connected with the digital unstructured data enrichment in the fields of cardiology, neurology and mental health along with possible solutions to address these challenges. Building on these findings, we compiled a checklist following the standard data flow in a research study to contribute to the limited available systematic guidance on digital unstructured data enrichment. This proposed checklist offers support in early planning and feasibility assessments for health research combining unstructured data with existing data sources. Finally, the sparsity and heterogeneity of unstructured data enrichment methods in our review call for a more systematic reporting of such methods to achieve greater reproducibility.

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Section: Infrastructure and Human Resourcesmentioning

confidence: 99%

Section: Infrastructure and Human Resourcesmentioning

confidence: 99%

Section: Proposal For a Feasibility And Planning Checklist For Unstru...mentioning

confidence: 99%

Section: Can Meta-information Offer Sufficient Contextual Information...mentioning

confidence: 99%

See 2 more Smart Citations

Challenges and best practices for digital unstructured data enrichment in health research: a systematic narrative review

Sedláková

Daniore

Wintsch

et al. 2022

Preprint

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“…These developments in digital and big data health research ( 33 , 34 ) have unevenly impacted different medical specialties. Several medical areas, like oncology and neurology, have already progressed toward data-driven clinical decision-making based on a combination of subjective clinical assessment with digital, non-invasive biomarkers ( 35 , 36 ).…”

Section: Introductionmentioning

confidence: 99%

Digital Biomarkers in Psychiatric Research: Data Protection Qualifications in a Complex Ecosystem

Parziale

Mascalzoni

2022

Front. Psychiatry

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Psychiatric research traditionally relies on subjective observation, which is time-consuming and labor-intensive. The widespread use of digital devices, such as smartphones and wearables, enables the collection and use of vast amounts of user-generated data as “digital biomarkers.” These tools may also support increased participation of psychiatric patients in research and, as a result, the production of research results that are meaningful to them. However, sharing mental health data and research results may expose patients to discrimination and stigma risks, thus discouraging participation. To earn and maintain participants' trust, the first essential requirement is to implement an appropriate data governance system with a clear and transparent allocation of data protection duties and responsibilities among the actors involved in the process. These include sponsors, investigators, operators of digital tools, as well as healthcare service providers and biobanks/databanks. While previous works have proposed practical solutions to this end, there is a lack of consideration of positive data protection law issues in the extant literature. To start filling this gap, this paper discusses the GDPR legal qualifications of controller, processor, and joint controllers in the complex ecosystem unfolded by the integration of digital biomarkers in psychiatric research, considering their implications and proposing some general practical recommendations.

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Rising Mental Health Incidence Among Adolescents in Westchester, NY

Rao

Chhabra

2021

Community Ment Health J

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Context Many governments have publicly released healthcare data, which can be mined for insights about disease conditions, and their impact on society. Methods We present a big-data analytics approach to investigate data in the New York Statewide Planning and Research Cooperative System (SPARCS) consisting of 20 million patient records. Findings Whereas the age group 30–48 years exhibited an 18% decline in mental health (MH) disorders from 2009 to 2016, the age group 0–17 years showed a 5.4% increase. MH issues amongst the age group 0–17 years comprise a significant expenditure in New York State. Within this age group, we find a higher prevalence of MH disorders in females and minority populations. Westchester County has seen a 32% increase in incidences and a 41% increase in costs. Conclusions Our approach is scalable to data from multiple government agencies and provides an independent perspective on health care issues, which can prove valuable to policy and decision-makers.

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Invited Commentary on Stewart and Davis “ ‘Big data’ in mental health research—current status and emerging possibilities”

Cited by 8 publications

References 8 publications

Challenges and best practices for digital unstructured data enrichment in health research: a systematic narrative review

Challenges and best practices for digital unstructured data enrichment in health research: a systematic narrative review

Digital Biomarkers in Psychiatric Research: Data Protection Qualifications in a Complex Ecosystem

Rising Mental Health Incidence Among Adolescents in Westchester, NY

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