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Record W4246087759 · doi:10.21203/rs.2.18629/v1

Co-designing technology for ageing in place: A systematic review

2019· review· en· W4246087759 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Square (Research Square) · 2019
Typereview
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsCINAHLScopusHealth technologyHealth careMEDLINEMainstreamGerontologyCo-designPsychologyMedicineComputer scienceNursingKnowledge managementMedical educationPsychological interventionPolitical science

Abstract

fetched live from OpenAlex

Abstract Background: Co-design in healthcare has become mainstream. Co-design with end-users can improve patient satisfaction, outcomes and reduce the cost of care. As populations age, there is a growing interest to involve the elderly in the co-design of health technology to maintain their well-being and independence. However, it is less clear if co-designed technology improves health and well-being outcomes. The aim of this study is to evaluate co-designed technology that supports elders to age in place. Methods: We conducted a systematic review to: i) investigate the health and well-being outcomes of co-designed technology for elders (≥ 60 years); ii) to identify co-design approaches and contexts where they are applied and; iii) to identify barriers and facilitators of the co-design process with elders. Searches were conducted in MEDLINE, EMBASE, CINAHL, Science Citation Index (Web of Science), Scopus, OpenGrey and Business Source Premiere databases using MeSH terms and key words. Results: We identified 14,649 articles of which 34 studies were included. Studies were from Europe (n=28), Australia (n=4), America (n=1) and Canada (n=1). Twenty of the 32 studies targeted older adults (≥ 60 years old) and 14 targeted specific medical conditions or elder-related issues. Technological solutions included robots, online applications and software, smart televisions, computer games for exercise, global positioning solutions, smart home systems and design of care pathways. Five studies reported health and well-being outcomes and were extracted. The health and well-being impact of co-designed technology was inconsistent. Co-design processes varied greatly and in their intensity of elder involvement. Common facilitators of and barriers to the co-design process included the building of relationships between stakeholders, stakeholder knowledge of problems and solutions, as well as expertise in the co-design methodology.Conclusions: The co-design approach was applied in the design of a diverse set of technologies. The effect of co-designed technology on health and well-being was rarely studied and it was difficult to ascertain its impact. Future co-design efforts need to address barriers unique to the elderly population. More evaluation of the impact of co-designed technologies’ is needed and standardisation of the definition of co-design would be helpful to researchers and designers.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.084
metaresearch head score (Gemma)0.077
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Bibliometrics, Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.465
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0840.077
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0120.018
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0070.001
Research integrity0.0030.010
Insufficient payload (model declined to judge)0.0000.003

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 head0.229
GPT teacher head0.538
Teacher spread0.309 · 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