Characteristics of a successful collaboration in evaluation of a health care innovation: lessons learned from GPS locator technology for dementia clients
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.
Bibliographic record
Abstract
Don Juzwishin,1 Madiha Mueen,2 Antonio Miguel Cruz,3,4 Tracy Ruptash,5 Shannon Barnard,6 Meghan Sebastianski,1 Rosmin Esmail,7 Lili Liu4 1Health Technology Assessment and Innovation, Alberta Health Services, 2Department of Family Medicine, University of Alberta, Edmonton, AB, Canada; 3School of Medicine and Health Sciences, Universidad del Rosario, Bogotá D.C., Colombia; 4Department of Occupational Therapy, Faculty of Rehabilitation Medicine, Edmonton, 5Continuing Care Special Initiatives, Seniors Health, Community, Seniors, Addiction and Mental Health, Alberta Health Services, Grande Prairie, AB, 6Integrated Home Care, Alberta Health Services, 7Health Technology Assessment and Adoption, Alberta Health Services, Calgary, AB, Canada Abstract: Becoming lost or its risk is a problem for dementia clients, their families and caregivers. The purpose of the paper is to describe, analyze and share lessons from a pilot project to use global positioning system devices to manage the risk of becoming lost and, at the same time, maintaining client autonomy. The study informs technology implementation approaches and strategies for innovative health technologies. The project used a prospective mixed-methods approach including a pre and post paper-based questionnaire, focus groups and individual interviews. Technology uptake was examined post knowledge transfer using the After Action Review method, which has shown utility in military and health care settings. Project successes and weaknesses are identified to inform future approaches of innovative health technology pilot projects. Lessons from the pilot emphasize the need for innovators to understand the multifaceted context they are entering, enlist the support of leaders, dedicate a project lead, support autonomous decision making and problem solving, meet regularly to monitor progress and address issues and support peer-to-peer collaboration. Keywords: evaluation, innovation, GPS, technology, adoption 
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it