Dataset Information

Digital storytelling as a method in health research: a systematic review protocol.

ABSTRACT: Digital storytelling is an arts-based research method with potential to elucidate complex narratives in a compelling manner, increase participant engagement, and enhance the meaning of research findings. This method involves the creation of a 3- to 5-min video that integrates multimedia materials including photos, participant voices, drawings, and music. Given the significant potential of digital storytelling to meaningfully capture and share participants' lived experiences, a systematic review of its use in healthcare research is crucial to develop an in-depth understanding of how researchers have used this method, with an aim to refine and further inform future iterations of its use.We aim to identify and synthesize evidence on the use, impact, and ethical considerations of using digital storytelling in health research. The review questions are as follows: (1) What is known about the purpose, definition, use (processes), and contexts of digital storytelling as part of the research process in health research? (2) What impact does digital storytelling have upon the research process, knowledge development, and healthcare practice? (3) What are the key ethical considerations when using digital storytelling within qualitative, quantitative, and mixed method research studies? Key databases and the grey literature will be searched from 1990 to the present for qualitative, quantitative, and mixed methods studies that utilized digital storytelling as part of the research process. Two independent reviewers will screen and critically appraise relevant articles with established quality appraisal tools. We will extract narrative data from all studies with a standardized data extraction form and conduct a thematic analysis of the data. To facilitate innovative dissemination through social media, we will develop a visual infographic and three digital stories to illustrate the review findings, as well as methodological and ethical implications.In collaboration with national and international experts in digital storytelling, we will synthesize key evidence about digital storytelling that is critical to the development of methodological and ethical expertise about arts-based research methods. We will also develop recommendations for incorporating digital storytelling in a meaningful and ethical manner into the research process.PROSPERO registry number CRD42017068002 .

SUBMITTER: Rieger KL

PROVIDER: S-EPMC5838876 | biostudies-other | 2018 Mar

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Digital storytelling as a method in health research: a systematic review protocol.

Rieger Kendra L KL West Christina H CH Kenny Amanda A Chooniedass Rishma R Demczuk Lisa L Mitchell Kim M KM Chateau Joanne J Scott Shannon D SD

Systematic reviews 20180305 1

<h4>Background</h4>Digital storytelling is an arts-based research method with potential to elucidate complex narratives in a compelling manner, increase participant engagement, and enhance the meaning of research findings. This method involves the creation of a 3- to 5-min video that integrates multimedia materials including photos, participant voices, drawings, and music. Given the significant potential of digital storytelling to meaningfully capture and share participants' lived experiences, a ...[more]

PMID: 29506568

Similar Datasets

Project description:IntroductionThere is a growing trend to use storytelling as a research tool to extract information and/or as an intervention to effect change in the public knowledge, attitudes and behaviour (KAB) in relation to public health issues, primarily those with a strong element of disease prevention. However, evidence of its use in either or both capacities is limited. This protocol proposes a systematic narrative review of peer-reviewed, published literature on the use of storytelling as a research tool within the public health arena.Methods and analysisMedline, EMBASE, PsycINFO, ERIC (Educational Resources Information Center), Web of Science, Art and Humanities database (ProQuest), Scopus and Google Scholar will be searched for studies that look at the use of storytelling in the research of pressing current public health issues, for example, vaccinations, antimicrobial resistance, climate change and cancer screening. The review will synthesise evidence of how storytelling is used as a research tool to (a) gain insights into KAB and (b) to effect change in KAB when used as an intervention. Included studies will be selected according to carefully defined criteria relevant to public health issues of interest, and data from qualitative, quantitative and mixed-methods studies will be extracted with a customised data extraction form. A narrative synthesis will be performed according to Economic and Social Research Council guidance from Popay, J, 2006.The study protocol follows the recommendations by the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P).Ethics and disseminationFormal ethical approval is not required for this study, as no primary data will be collected. Dissemination will involve publishing results of this study in relevant peer-reviewed journal(s). Where possible, the study results will also be presented as posters or talks at relevant medical conferences and meetings.Prospero registration numberCRD42019124704.

Project description:INTRODUCTION:There is currently a lack of clear and accepted standards for the development (planning, requirement analysis and research, design and application testing) of apps for medical and healthcare use which poses different risks to developers, providers, patients and the public. The aim of this work is to provide an overview of the current standards, frameworks, best practices and guidelines for the development of digital health apps. This review is a critical 'stepping stone' for further work on producing appropriate standards that can help mitigate risks (eg, clinical, privacy and economic risks). METHODS AND ANALYSIS:A systematic review identifying criteria from applicable standards, guidelines, frameworks and best practices for the development of health apps. We will draw from standards for software for medical devices, clinical information systems and medicine because of their relatedness and hope to apply lessons learnt to apps. We will exclude other types of publications, and those published in languages other than English. We will search websites of relevant regulatory and professional organisations. For health apps, we will also search electronic research databases (eg, MEDLINE, Embase, SCOPUS, ProQuest Technology Collection and Engineering Index) because relevant publications may not be found on other websites. We will hand-search reference lists of included publications. The review will focus on international, USA, European and UK standards because these are the markets of primary interest to the majority of app developers currently. We will provide a narrative overview of findings and tabular summaries of extracted data. Also, we will examine the relationship between different standards and compare USA and European Union standards. ETHICS AND DISSEMINATION:No ethics approval is required. The review will be disseminated through peer-reviewed publications, conference presentations and inform efforts that aim to improve the quality of health apps through existing links with relevant organisations.

Project description:BackgroundThere is a complicated and exploitative history of research with Indigenous peoples and accompanying calls to meaningfully and respectfully include Indigenous knowledge in healthcare. Storytelling approaches that privilege Indigenous voices can be a useful tool to break the hold that Western worldviews have within the research. Our collaborative team of Indigenous and non-Indigenous researchers, and Indigenous patients, Elders, healthcare providers, and administrators, will conduct a critical participatory, scoping review to identify and examine how storytelling has been used as a method in Indigenous health research.MethodsGuided by two-eyed seeing, we will use Bassett and McGibbon's adaption of Arksey and O'Malley's scoping review methodology. Relevant articles will be identified through a systematic search of the gray literature, core Indigenous health journals, and online databases including Scopus, MEDLINE, Embase, CINAHL, AgeLine, Academic Search Complete, Bibliography of Native North Americans, Canadian Reference Centre, and PsycINFO. Qualitative and mixed-methods research articles will be included if the researchers involved Indigenous participants or their healthcare professionals living in Turtle Island (i.e., Canada and the USA), Australia, or Aotearoa (New Zealand); use storytelling as a research method; focus on healthcare phenomena; and are written in English. Two reviewers will independently screen titles/abstracts and full-text articles. We will extract data, identify the array of storytelling approaches, and critically examine how storytelling was valued and used. An intensive collaboration will be woven throughout all review stages as academic researchers co-create this work with Indigenous patients, Elders, healthcare professionals, and administrators. Participatory strategies will include four relational gatherings throughout the project. Based on our findings, we will co-create a framework to guide the respectful use of storytelling as a method in Indigenous health research involving Indigenous and non-Indigenous peoples.DiscussionThis work will enable us to elucidate the extent, range, and nature of storytelling within Indigenous health research, to critically reflect on how it has been and could be used, and to develop guidance for the respectful use of this method within research that involves Indigenous peoples and settlers. Our findings will enable the advancement of storytelling methods which meaningfully include Indigenous perspectives, practices, and priorities to benefit the health and wellbeing of Indigenous communities.Systematic review protocol registrationOpen Science Framework ( https://osf.io/rvf7q ).

Project description:BackgroundThe promise of digital health is principally dependent on the ability to electronically capture data that can be analyzed to improve decision-making. However, the ability to effectively harness data has proven elusive, largely because of the quality of the data captured. Despite the importance of data quality (DQ), an agreed-upon DQ taxonomy evades literature. When consolidated frameworks are developed, the dimensions are often fragmented, without consideration of the interrelationships among the dimensions or their resultant impact.ObjectiveThe aim of this study was to develop a consolidated digital health DQ dimension and outcome (DQ-DO) framework to provide insights into 3 research questions: What are the dimensions of digital health DQ? How are the dimensions of digital health DQ related? and What are the impacts of digital health DQ?MethodsFollowing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a developmental systematic literature review was conducted of peer-reviewed literature focusing on digital health DQ in predominately hospital settings. A total of 227 relevant articles were retrieved and inductively analyzed to identify digital health DQ dimensions and outcomes. The inductive analysis was performed through open coding, constant comparison, and card sorting with subject matter experts to identify digital health DQ dimensions and digital health DQ outcomes. Subsequently, a computer-assisted analysis was performed and verified by DQ experts to identify the interrelationships among the DQ dimensions and relationships between DQ dimensions and outcomes. The analysis resulted in the development of the DQ-DO framework.ResultsThe digital health DQ-DO framework consists of 6 dimensions of DQ, namely accessibility, accuracy, completeness, consistency, contextual validity, and currency; interrelationships among the dimensions of digital health DQ, with consistency being the most influential dimension impacting all other digital health DQ dimensions; 5 digital health DQ outcomes, namely clinical, clinician, research-related, business process, and organizational outcomes; and relationships between the digital health DQ dimensions and DQ outcomes, with the consistency and accessibility dimensions impacting all DQ outcomes.ConclusionsThe DQ-DO framework developed in this study demonstrates the complexity of digital health DQ and the necessity for reducing digital health DQ issues. The framework further provides health care executives with holistic insights into DQ issues and resultant outcomes, which can help them prioritize which DQ-related problems to tackle first.

Project description:BackgroundDigitalization is not fully implemented in clinical practice, and several factors have been identified as possible barriers, including the competencies of health care professionals. However, no summary of the available evidence has been provided to date to depict digital health competencies that have been investigated among health care professionals, the tools used in assessing such competencies, and the effective interventions to improve them.ObjectiveThis review aims to summarize digital health competencies investigated to date and the tools used to assess them among health care professionals.MethodsA systematic review based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist was performed. The MEDLINE, Cumulative Index to Nursing and Allied Health Literature, PsycINFO, and Scopus databases were accessed up to September 4, 2021. Studies assessing digital health competencies with quantitative designs, targeting health care professionals, and written in English were included. The methodological quality of included studies was evaluated using the Joanna Briggs Institute tools.ResultsA total of 26 studies, published from 1999 to 2021, met the inclusion criteria, and the majority were cross sectional in design, while only 2 were experimental study designs. Most studies were assessed with moderate to low methodological quality; 4 categories and 9 subcategories of investigated digital health competencies have been identified. The most investigated category was "Self-rated competencies," followed by "Psychological and emotional aspects toward digital technologies," "Use of digital technologies," and "Knowledge about digital technologies." In 35% (9/26) of the studies, a previously validated tool was used to measure the competencies assessed, while others developed ad hoc questionnaires.ConclusionsMainly descriptive studies with issues regarding methodology quality have been produced to date investigating 4 main categories of digital health competencies mostly with nonvalidated tools. Competencies investigated might be considered while designing curricula for undergraduate, postgraduate, and continuing education processes, whereas the methodological lacks detected might be addressed with future research. There is a need to expand research on psychological and emotional elements and the ability to use digital technology to self-learn and teach others.Trial registrationPROSPERO International Prospective Register of Systematic Reviews CRD42021282775; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=282775.

Dataset Information

Digital storytelling as a method in health research: a systematic review protocol.

Publications

Digital storytelling as a method in health research: a systematic review protocol.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets