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The number of older adults is increasing rapidly worldwide. Older adults face a unique set of challenges and may experience a range of psychological comorbidities. Advances in multimedia technology have allowed for digital storytelling to be utilized as an intervention for health-related outcomes.
The primary aim of the proposed systematic review is to examine the reported health-related outcomes for older adults engaged in digital storytelling. The review also aims to examine the methods associated with digital storytelling, characteristics of digital story products, and implementational considerations.
This protocol adheres to the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols. We will systematically search selected electronic databases to identify studies that meet our eligibility criteria. From the included studies, data will be extracted and synthesized using a narrative approach and summarized in tables. The methodological quality of the included studies will be assessed using the Mixed Methods Appraisal Tool.
Systematic searches, data extraction and analysis, and writing of the systematic review are expected to be completed by the end of 2019.
The proposed systematic review will summarize the existing studies using digital storytelling to improve health-related outcomes for older adults. Results from this review will provide an evidence base for the development of digital storytelling interventions that are effective and implementable with older adults.
PRR1-10.2196/15512
By the year 2050, it is anticipated that the number of people worldwide aged 60 years and older will double to 2.1 billion, and the number of people aged 80 years and older is expected to triple [
Storytelling in later life through reminiscence has been recognized as an activity to support well-being in later life [
Owing to the advances in the capability and accessibility of multimedia technologies, it is now possible to produce digital life story artifacts with relative ease. Digital storytelling is a process that involves using multimedia technology to combine images, sounds, and narration into a film that documents one’s lived experiences [
The use of digital storytelling to improve the health of older adults is an emerging area of research, with studies employing significantly varied methods published across a range of disciplines. Such studies suggest that digital storytelling may be used with older adults as a tool to improve mood [
To date, no published systematic review has evaluated the methods for and health-related outcomes of digital storytelling for older adults. This protocol proposes a review that aims to systematically examine the current state of digital storytelling with older adults, concerning outcomes of digital storytelling, methods for digital storytelling, and characteristics and content of the resulting digital story products. It also aims to examine factors related to the implementation of digital storytelling—this may include outcomes such as acceptability, feasibility, adoption, and adherence [
This systematic review aims to answer the following questions:
What are the health-related outcomes of digital storytelling with older adults?
How does the process of, and the products created by, digital storytelling vary?
What are the implementational considerations in digital storytelling with older adults?
This protocol was developed in adherence with the recommendations of the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines [
Given that digital storytelling remains a relatively new area of research across various health care disciplines, it is anticipated that there is considerable heterogeneity in study designs. Relevant research has taken the form of quantitative, qualitative, and mixed methods studies. We will be inclusive in our eligibility criteria: we will review a range of study designs, including quantitative (eg, randomized, nonrandomized, quasi-randomized, and cluster randomized controlled trials; pilot trials; open trials; case studies; cross-section studies; cohort studies; and case-control studies), qualitative, and mixed methods studies, provided that at least one health-related outcome is reported in relation to digital storytelling participation (see the Outcomes section below).
We will include studies in which participants are older adults, defined for the purpose of this review according to the United Nations classification as those aged 60 years or above [
Interventions of interest will be those that engage participants in digital storytelling. We will define a digital story as a short (eg, 3-5 min) multimedia clip (eg, images, videos, narration, and music) that is centered on the lived experience of older adult participants. There may be varying levels of participant involvement in technical production; for example, digital stories may be produced entirely by participants or produced on their behalf partly or wholly by others such as researchers, carers, or volunteers.
Studies will be included if their primary aim was to assess digital storytelling outcomes for participants other than older adults (eg, participants engaged in creating digital stories with older adults to assist with their understanding of the challenges of old age) and if health-related outcomes for older adults are reported as additional outcomes. Studies will be excluded if digital storytelling was used in conjunction with another intervention where the effects of digital storytelling alone are not reported or cannot be ascertained.
Any type of control group may be present in studies included for review.
This systematic review is primarily interested in the health-related outcomes for older adults who participate in digital storytelling. Such health-related outcomes may include mood, memory, quality of life, and social engagement. These outcomes may be measured and reported quantitatively (eg, using validated psychometric assessment tools) or qualitatively (eg, as a result of participant interviews that were transcribed and analyzed thematically). In addition, secondary outcomes include (1) process characteristics (ie, information related to the process of digital storytelling, eg, length of participation and level of involvement in technical production), (2) product characteristics (ie, variation in digital stories produced as a result of a digital story process, eg, length of story and presence of audio-visual components such as still photographs, videos, music, and narration), and (3) factors related to the implementation of digital storytelling with older adults—this may include acceptability, adoption, appropriateness, feasibility, fidelity, cost, coverage, and sustainability outcomes [
We will include studies for which we can access the full-text reports, which were published in scholarly journals or unpublished in the case of dissertations and theses and were written in English with no restrictions on the country of origin or the year of publication.
We will conduct a search of the following databases using a planned search strategy to identify published studies: MEDLINE (Scopus), Embase (Scopus), PubMed, PsycINFO, Web of Science, Cumulative Index of Nursing and Allied Health Literature (EBSCO), Academic Search Complete (EBSCO), Abstracts in Social Gerontology (EBSCO), Psychology and Behavioral Sciences Collection (EBSCO), Health Source: Nursing/Academic Edition (EBSCO), and SocINDEX (EBSCO). Unpublished studies will be identified by searching ProQuest Dissertations and Theses and Open Access Theses and Dissertations.
Selected search terms were chosen to describe the population and characteristics of the intervention necessary for inclusion in the review. An example strategy for database searching is as follows:
(“older adult*” OR “elder*” OR “older person*” OR “older people*” OR “dementia”) AND
(“story” OR “stories” OR “storytelling” OR “biographi*” OR “biography*”) AND
(“digital” OR “multimedia” OR “virtual”)
A preliminary search of the databases mentioned above has been conducted to ensure that the search strategy is viable and the scope of the search is feasible. An example preliminary search of MEDLINE and EMBASE via Scopus produced 170 records based on the following query string:
(TITLE-ABS-KEY (“older adult*” OR “elder*” OR “older person*” OR “older people*” OR “dementia”) AND TITLE-ABS-KEY (“story” OR “stories” OR “storytelling” OR “biographi*” OR “biography*”) AND TITLE-ABS-KEY (“digital” OR “multimedia” OR “virtual”))
Finally, we will examine the reference lists of all included studies to identify any relevant studies that may have been missed from the original search.
The titles and abstracts of studies produced by the combined database search will be collated using reference management software, and duplicates will be removed. The first author will screen the titles and abstracts to remove reports that are irrelevant, before retrieving full-text reports of the remaining entries. A coauthor acting as the second reviewer will independently screen at least 25% of the titles and abstracts, and disagreements will be resolved through discussion, consulting a third reviewer to reach consensus where needed. The first author will then screen the full-text reports against the eligibility criteria for inclusion in the review, noting reasons for study exclusion. Again, a coauthor acting as the second reviewer will independently screen at least 25% of the full-text reports against the eligibility criteria, and disagreements will be resolved through discussion, consulting a third reviewer to reach consensus where needed. If more information is required, we will contact study authors where possible. The study selection process will be documented using the PRISMA flow chart, reporting the number of studies resulting from each stage of selection and the reasons for study exclusion [
We will use a pilot-tested standardized data collection form to extract and manage data from the included studies. Extracted data will include publication information (eg, name of authors, title, and country of origin), study design (eg, quantitative such as randomized and nonrandomized trials, pilot trials, open trials, and case studies; qualitative; and mixed methods), participant information (eg, sample size, age, gender, health conditions, and source of participants such as community or care settings), health-related outcomes for quantitative studies (eg, reported descriptive statistics and significance levels), health-related outcomes for qualitative studies (eg, reported theme-level findings), process (eg, length of participation and level of involvement in production) and product (eg, length of story and content of story) characteristics, and reported implementational challenges to digital storytelling. If there are multiple reports of a single study, such reports will be identified and the extracted data will be collated and presented as findings from a single study.
One reviewer will independently extract study data from all included studies. A second reviewer will independently extract data from at least 25% of the included studies. If there are discrepancies, these will be resolved by discussion, and a third reviewer will be consulted to reach consensus where necessary. Where possible, we will contact the study authors if more information is needed.
Given the anticipated heterogeneity in study designs, populations, and outcomes, a meta-analysis will not be feasible. As such, a narrative synthesis approach of the aggregate data will be used [
Furthermore, we will describe the participant information, process characteristics, product characteristics, and factors related to the implementation that are shared among studies and are unique to individual studies or specific health-related outcomes.
To assess the methodological quality of the included studies, the Mixed Methods Appraisal Tool (MMAT) will be used [
Systematic searches, data extraction and analysis, and writing of the systematic review are expected to be completed by the end of 2019.
Globally, the number of older adults is rapidly rising [
Applying the methods outlined in this protocol, the aim of the proposed systematic review is to examine the use of digital storytelling with older adults. Primarily, the study aims to examine documented health-related outcomes for older adults. It also aims to present a summary of the various methods for digital storytelling and digital story products that emerge from the interventions. The systematic review will also assess the methodological quality of the evidence presented and will provide a discussion of the limitations of the review. Importantly, the findings from this review aim to assist in developing a model for digital storytelling interventions that is tailorable to older adults for specific health-related outcomes and has the capacity to be effective and implementable. The findings of this study will be published in a peer-reviewed journal and potentially presented at academic conferences.
Mixed Methods Appraisal Tool
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
JS and SB devised the protocol. JS wrote the manuscript with inputs from other authors. All authors read and approved the final manuscript.
None declared.