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Record W4379051927 · doi:10.2196/47650

Designing and Evaluating IT Applications for Informal Caregivers: Protocol for a Scoping Review

2023· review· en· W4379051927 on OpenAlexvenueno aff
Shweta Premanandan, Awais Ahmad, Åsa Cajander, Pär J. Ågerfalk, Julia E.W.C. van Gemert‐Pijnen

Bibliographic record

VenueJMIR Research Protocols · 2023
Typereview
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsnot available
FundersVetenskapsrådetUppsala UniversitetCancerfondenUniversity of TwenteEuropean Commission
KeywordsScopusProtocol (science)Inclusion (mineral)Computer scienceDigital libraryGrey literatureHealth careMEDLINEPsychologyMedicineAlternative medicine

Abstract

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BACKGROUND: A growing number of informal caregivers in many countries are important for effective functioning of health care in our society. Hence, they must receive the required support and services to continue providing care. IT applications can be used to support informal caregivers in their caregiving activities. However, evidence-informed guidelines for developing such IT applications and their evaluation are scarce. Hence, this scoping review can aid researchers and designers by providing design recommendations for IT apps for caregivers and potentially improve the design of IT applications for caregivers to meet their needs better. OBJECTIVE: This study aims to describe the proposal for a scoping review of current practices and recommendations in designing and evaluating IT applications for informal caregivers. The scoping review will also discuss the opportunities and challenges in designing these IT applications. METHODS: We will use a 5-step scoping review methodology to map relevant literature published as follows: (1) identify the research question, (2) identify relevant studies, (3) select relevant studies for review, (4) chart the data from selected literature, and (5) summarize and report results. A structured search will be conducted in PubMed, Scopus, IEEE digital library, Web of Science, and ACM Digital Library databases. In addition, hand searches of reference lists and keyword searches in Google Scholar will also be conducted. Inclusion criteria will be researched (journal and conference) articles focused on IT applications designed for use by informal caregivers and study type to be qualitative studies. Two reviewers will independently identify articles for review and extract data. Conflicts will be discussed, and a third reviewer will be consulted if a consensus cannot be reached. These data will be analyzed using thematic analysis. RESULTS: The results from this scoping review will be presented in a narrative form, and additional data on study characteristics will be presented in diagrams or tabular format. Uppsala University first initiated this scoping review protocol in December 2021 as part of the European Union-funded project ENTWINE. This work was also supported by the Swedish Research Council and the Swedish Cancer Society. The results will be presented in August 2023 and will be disseminated through a report to the European Union and a peer-reviewed journal publication. In addition, the team plans to share its findings on various public platforms, including social media, blog posts, and relevant conferences and workshops. CONCLUSIONS: This is, to our knowledge, the first study to map the literature on the design and evaluation of IT applications for informal caregivers. The scoping review's results will detail the requirements, design suggestions, and user preferences, as well as the usability criteria and features of IT applications for informal caregivers. A mapping of studies could inform the design and implementation of future IT applications for informal caregivers. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47650.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.164
metaresearch head score (Gemma)0.159
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.164
Threshold uncertainty score0.868

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1640.159
Meta-epidemiology (narrow)0.0070.007
Meta-epidemiology (broad)0.0130.013
Bibliometrics0.0150.013
Science and technology studies0.0070.007
Scholarly communication0.0080.010
Open science0.0060.009
Research integrity0.0120.010
Insufficient payload (model declined to judge)0.0690.019

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.865
GPT teacher head0.796
Teacher spread0.069 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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