Table 4 Identified needs for an E = M-tool in the participating hospital departments, resulting from the needs questionnaire, interviews and patient panel (Track 1)
Items | Results |
|---|---|
User objectives | Able to generate a PA advice |
| Â | Able to select eligible adult patients for referral to PA interventions |
| Â | Usable during consultation by clinicians and patients |
| Â | Usable as research data by researchers |
| Â | Track the use of the tool among clinicians for research purposes |
Input | Patients provide information about activity level, concerning |
| Â | Â Â Current PA behavior |
| Â | Â Â BMI |
| Â | Â Â Motivation to change PA behavior |
| Â | Â Â Personal characteristics: age, gender, etc |
| Â | Â Â Diagnosis |
| Â | Â Â Co-morbidity |
| Â | Â Â Intoxication |
| Â | Â Â Health related quality of life |
| Â | Use of international PA guidelines |
| Â | Use of PA levels/guidelines tailored to diagnosis groups |
Output | Tool should generate tailored PA advice on patients’ diagnosis indicate |
| Â | Â Â The urgency to be more physically active |
| Â | Â Â Willingness to change |
| Â | Â Â Need for PA coaching |
| Â | Scores are compared to guidelines |
| Â | Predict the personal benefits of PA |
| Â | PA advice is short, simple and visualized with symbols and color coding |
| Â | Generate referral options in/outside hospital |
| Â | PA advice is one-off, stored in EMR, printable and handed out to patient |
| Â | PA advice is not necessarily shared with paramedics outside hospital |
| Â | Feedback is not necessarily given on the patient's progress at follow-up appointments |
Technical aspects | A digital tool is required |
|  | Include an algorithm to compare patient’ scores with PA guidelines |
|  | Linked to existing hospitals’ EMR |
| Â | Provided by a reliable and safe system |
| Â | Data can be retrieved from EMR |
| Â | All clinicians, with a treatment relation to the patient from the same hospital have tool access |
| Â | Clinicians should be able to add medical information |
| Â | Software providers RoQua/Klik should collaborate |
| Â | Local privacy and security regulations of medical data are applied |
User stories | E = M-tool should make implementation of E = M as easy as possible for all entities |
| Â | The tool should show the results and generate advice through the EMR |
| Â | The tool should provide individual tailored PA advice |
| Â | Patients should provide information for their PA advice |
| Â | Researchers should inform patients about the use of the tool and the PA advice |
| Â | Researchers should have access to the data for research (after patient consent) |