| Title |
Validation of a modified FRAX® tool for improving outpatient efficiency—part of the “Catch Before a Fall” initiative
|
|---|---|
| Published in |
Archives of Osteoporosis, August 2015
|
| DOI | 10.1007/s11657-015-0230-7 |
| Pubmed ID | |
| Authors |
Simon Parker, Maria Ciaccio, Erica Cook, Graham Davenport, Alun Cooper, Simon Grange, Peter Smitham |
| Abstract |
We have validated our touch-screen-modified FRAX® tool against the traditional healthcare professional-led questionnaire, demonstrating strong concordance between doctor- and patient-derived results. We will use this in outpatient clinics and general practice to increase our capture rate of at-risk patients, making valuable use of otherwise wasted patient waiting times. Outpatient clinics offer an opportunity to collect valuable health information from a captive population. We have previously developed a modified fracture risk assessment (FRAX®) tool, enabling patients to self-assess their osteoporotic fracture risk in a touch-screen computer format and demonstrated its acceptability with patients. We aim to validate the accuracy of our tool against the traditional questionnaire. Fifty patients over 50 years of age within the fracture clinic independently completed a paper equivalent of our touch-screen-modified FRAX® questionnaire. Responses were analysed against the traditional healthcare professional (HCP)-led questionnaire which was carried out afterwards. Correlation was assessed by sensitivity, specificity, Cohen's kappa statistic and Fisher's exact test for each potential FRAX® outcome of "treat", "measure BMD" and "lifestyle advice". Age range was 51-98 years. The FRAX® tool was completed by 88 % of patients; six patients lacked confidence in estimating either their height or weight. Following question adjustment according to patient response and feedback, our tool achieved >95 % sensitivity and specificity for the "treat" and "lifestyle advice" groups, and 79 % sensitivity and 100 % specificity in the "measure BMD" group. Cohen's kappa value ranged from 0.823 to 0.995 across all groups, demonstrating "very good" agreement for all. Fisher's exact test demonstrated significant concordance between doctor and patient decisions. Our modified tool provides a simple, accurate and reliable method for patients to self-report their own FRAX® score outside the clinical contact period, thus releasing the HCP from the time required to complete the questionnaire and potentially increasing our capture rate of at-risk patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 16% |
| Researcher | 6 | 13% |
| Student > Bachelor | 5 | 11% |
| Student > Ph. D. Student | 4 | 9% |
| Other | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 24% |
| Nursing and Health Professions | 7 | 16% |
| Psychology | 3 | 7% |
| Economics, Econometrics and Finance | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 14 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 August 2015.
All research outputs
#20,286,650
of 22,821,814 outputs
Outputs from Archives of Osteoporosis
#496
of 637 outputs
Outputs of similar age
#221,650
of 264,379 outputs
Outputs of similar age from Archives of Osteoporosis
#9
of 14 outputs
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