A Computerized Frailty Assessment Tool at Points-of-Care
Development of a Standalone Electronic Comprehensive Geriatric Assessment/Frailty Index (eFI-CGA)
Bibliographic Data
| ID | 22080686 |
|---|---|
| Authors | Katayoun Sepehri (0000-0003-2961-5642, Simon Fraser University), McKenzie Sarah Braley, McKenzie Braley (Surrey Memorial Hospital), Betty Chinda (0000-0002-2180-1849, Simon Fraser University), Macy Zou (Surrey Memorial Hospital), Brandon Tang (0000-0002-1969-7595, Surrey Memorial Hospital), Grace Park (0000-0003-0883-6382, Fraser Health), Antonina Garm (Fraser Health), Robert C McDermid (0000-0003-4156-7161, Surrey Memorial Hospital), Robert McDermid, Kenneth Rockwood (0000-0002-6674-995X, Dalhousie University), Xiaowei Song (0000-0001-6146-3381, Dalhousie University, corresponding author) |
| Year | 2020 |
| Volume | 8 |
| Pages | 89-89 |
| Publication date | 2020-03-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2020.00089 |
| PMID | 32296673 |
| OpenAlex | W3014092003 |
| Language | EN |
| References cited | 47 |
Background: Frailty can be operationalized using a Frailty Index (FI) based on the accumulation of health deficits; items under health evaluation in the well-established Comprehensive Geriatric Assessment (CGA) have been used to generate an FI-CGA. Traditionally, constructing the FI-CGA has relied on paper-based recording and manual data processing. As this can be time-consuming and error-prone, it limits widespread uptake of this proven type of frailty assessment. Here, we report the development of an electronic tool, the eFI-CGA, for use on personal computers by frontline healthcare providers, to collect CGA data and automate FI-CFA calculation. The ultimate goal is to support early identification and management of frailty at points-of-care, and make uptake in Electronic Medical Records (EMR) feasible and transparent. Methods: An electronic CGA (eCGA) form was implemented to operate on Microsoft’s WinForms platform and coded using C# programming language. A user-friendly interface and secured data saving methods were implemented. The software was debugged using systematically designed simulation data, addressing different logic, syntax, and application errors, and then with clinical assessment. The user manual and manual scoring were used as ground truth to compare eFI-CGA input and automated eFI score calculations. Frontline health-provider user feedback was incorporated to improve the end-user experience. Results: The eFI-CGA software tool was developed and optimized for use on personal computers. Compared to known scores, the software tool generated eFI-CGA scores with 100% accuracy to four decimal places. The eFI-CGA allowed secure data storage and retrieval of multiple types, including user input, completed eCGA form, coded items, and calculated eFI-CGA scores. It also permitted recording of actions requiring clinical follow-up, facilitating care planning. Application bugs were identified and resolved at various stages of the implementation, resulting in efficient system performance. Discussion: Accurate, robust, and reliable computerized frailty assessments are needed to promote effective frailty assessment and management, as a key tool in health care systems facing up to frailty. Our research has enabled the delivery of the standalone eFI-CGA software technology to empower effective frailty assessment and management by various healthcare providers at points-of-care, facilitating integrated care of older adults
Frailty Index · Operating system · Operationalization · User interface · Computer Science · Frailty in Older Adults · Hip and Femur Fractures · Medicine · Nutrition and Health in Aging · Software
| Citation velocity | historical |
|---|---|
| Highly cited | No |