Software

The eSMAF: a software for the assessment and follow-up of functional autonomy in geriatrics

Patrick Boissy^1,2 , Simon Brière¹ , Michel Tousignant^1,2,3 and Eric Rousseau^4,5

¹Research Centre on Aging, Sherbrooke Geriatric University Institute, Sherbrooke, Quebec, Canada

²Université de Sherbrooke, Faculty of Physical and Sports Education, Kinesiology Dept., Sherbrooke, Quebec, Canada

³Université de Sherbrooke, Faculty of Medicine and Health Sciences, Rehabilitation Dept., Sherbrooke, Quebec, Canada

⁴Université de Sherbrooke, Faculty of Medicine and Health Sciences, Dept. of Physiology and Biophysics, Sherbrooke, Quebec, Canada

⁵Etienne Le Bel Research Center, CHUS, Biomedical Telematics Laboratory, Respiratory Health Network of the FRSQ, Sherbrooke, Quebec, Canada

author email corresponding author email

BMC Geriatrics 2007, 7:2doi:10.1186/1471-2318-7-2

Published:	13 February 2007

Abstract

Background

Functional status or disability forms the core of most assessment instruments used to identify mix and level of resources and services needed by older adults who possess common characteristics. The Functional Autonomy Measurement System (SMAF) is a 29-item scale measuring functional ability in five different areas. It has been recommended for use for home care, for allocation of chronic beds, for developing care plans in institutional settings and for epidemiological and evaluative studies. The SMAF can also be used with a case-mix classification system (Iso-SMAF) to allocate resources based on patients' functional autonomy characteristics. The objective of this project was to develop a software version of the SMAF to facilitate the evaluation of the functional status of older adults in health services research and to optimize the clinical decision-making process.

Results

The eSMAF was developed over an 24-month period using a modified waterfall software engineering process. Requirements and functional specifications were determined using focus groups of stakeholders. Different versions of the software were iteratively field-tested in clinical and research environments and software adaptations made accordingly. User documentation and online help were created to assist the deployment of the software. The software is available in French or English versions under a 30-day unregistered demonstration license or a free restricted registered academic license. It can be used locally on a Windows-based PC or over a network to input SMAF data into a database, search and aggregate client data according to clinical and/or administrative criteria, and generate summary or detailed reports of selected data sets for print or export to another database.

Conclusion

In the last year, the software has been successfully deployed in the clinical workflow of different institutions in research and clinical applications. The software performed relatively well in terms of stability and performance. Barriers to implementation included antiquated computer hardware, low computer literacy and access to IT support. Key factors for the deployment of the software included standardization of the workflow, user training and support.