| Literature DB >> 23039113 |
Tiina Kortteisto1, Jorma Komulainen, Marjukka Mäkelä, Ilkka Kunnamo, Minna Kaila.
Abstract
BACKGROUND: Health information technology, particularly electronic decision support systems, can reduce the existing gap between evidence-based knowledge and health care practice but professionals have to accept and use this information. Evidence is scant on which features influence the use of computer-based clinical decision support (eCDS) in primary care and how different professional groups experience it. Our aim was to describe specific reasons for using or not using eCDS among primary care professionals.Entities:
Mesh:
Year: 2012 PMID: 23039113 PMCID: PMC3508894 DOI: 10.1186/1472-6963-12-349
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Computer-based clinical decision support (eCDS) functions (drug alerts, reminders, guideline links, and virtual health check = VHC) and procedures: examples
| Drug alerts | In the prescription procedure, the eCDS system checks against the patient medication list whether the drug selected has an interaction with other medication and, if so, displays a pop-up with an interaction alert and a suggestion of drug change. | Warfarin, in the patient’s medication list, has an interaction with the medicine chosen (ibuprofen). | |
| Do you want to choose another medicine? | |||
| Yes | No | ||
| Reminders | Patient-specific reminders are elicited by three trigger events in the EPR: 1) opening a patient record, 2) recording a new diagnosis, and 3) prescribing new medication. | ||
| Guideline links | |||
| DG Hypertensio essentialis (primaria) I10 | |||
| DG Fibrillatio atriorum I48 | |||
| DG Angina pectoris I20 | |||
| Virtual health check | The user can run a VHC on her/his patients in the appointment schedule by clicking on the decision support file in her/his folder. Patient-specific decision support messages appear on the screen when the user clicks on | Name: Matti Maa (PICa): Control visit | |
| Name: Anne Aamu (PICa): Acute visit | |||
| Name: Sanni Salo (PICa): Diabetes control | |||
a PIC = personal identification code.
A theory-based framework of analysis with emerging sub-themes – helping (+) or hindering (−), quotations are described in text
| Content of computer-based decision support guidance | Usefulness for professional’s work (+) |
| Non-helpfulness for professional’s work (−) | |
| Reliability (+) | |
| Quality (+) | |
| System functionality | Ease of use (+) |
| Speed (+) | |
| Too much, too small text (−) | |
| Impracticality (−) | |
| Professional-associated features | Motivation (+/−) |
| General attitude (+) | |
| Poor competence (−) | |
| Patient-associated features | Reasons for visit (−) |
| Low thresholds for reminders (−) | |
| Environment-related features | Busy practice (−) |
| Swine-flu epidemic (−) | |
| Other features | Development issues (+) |
Perceived functionality and usefulness of the computer-based clinical decision support – number of responses in the questionnaire
| | | ||||
|---|---|---|---|---|---|
| It is easy to use | Yes | 7 | 4 | 3 | 14 |
| No | 0 | 1 | 0 | 1 | |
| Cannot say | 2 | 8 | 2 | 12 | |
| It is rapid enough | Yes | 6 | 6 | 4 | 16 |
| No | 1 | 0 | 0 | 1 | |
| Cannot say | 2 | 7 | 1 | 10 | |
| It is reliable | Yes | 7 | 7 | 2 | 16 |
| No | 0 | 0 | 0 | 0 | |
| Cannot say | 2 | 5 | 2 | 9 | |
| It is of high quality | Yes | 5 | 3 | 2 | 10 |
| No | 1 | 0 | 0 | 1 | |
| Cannot say | 3 | 9 | 3 | 15 | |
| It supports my work | Yes | 5 | 3 | 0 | 8 |
| No | 1 | 3 | 1 | 5 | |
| Cannot say | 3 | 6 | 3 | 12 | |
| It influences my decisions | Yes | 5 | 1 | 1 | 7 |
| No | 1 | 4 | 3 | 8 | |
| Cannot say | 2 | 7 | 1 | 10 |