Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
The purpose of this study is to assess the feasibility of the use of an evidence-based decision support system (EBMeDS) in daily Belgian family medicine and to study the effectiveness of EBMeDS use on improving diabetes care.
The purpose of this study is to assess the feasibility of the use of an evidence-based decision support system (EBMeDS) in daily Belgian family medicine and to study the effectiveness of EBMeDS use on improving diabetes care.
Specific research questions are:
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| EBMeDS group | Experimental | The regular Evidence Linker and the EBMeDS system will be available in this group. |
|
| Control group | Other | The regular Evidence Linker will be available in this group. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| The EBMeDS system | Behavioral | The EBMeDS system receives structured patient data from the electronic medical records in HealthOne and returns reminders, therapeutic suggestions and diagnosis-specific links to guidelines. Electronic forms and calculators (e.g. a calculator for glomerular filtration) are integrated in the system. The original EBMeDS system was developed by Duodecim in Finland and covers a full spectrum of all clinical areas. Relevant reminders in all clinical areas are shown to the physicians in the intervention group. |
| Measure | Description | Time Frame |
|---|---|---|
| Pre- to post-implementation change in HbA1c. | Outcome will be collected at five points in time: before the start of the study, at 3 months, at 6 months, at 9 months and at 12 months |
| Measure | Description | Time Frame |
|---|---|---|
| Pre- to post-implementation change in cholesterol levels. | Outcome will be collected at five points in time: before the start of the study, at 3 months, at 6 months, at 9 months and at 12 months | |
| Pre- to post-implementation change in blood pressure measurements. |
| Measure | Description | Time Frame |
|---|---|---|
| Actual use of the EBMeDS system | Scripts are automatically triggered, users can see that a script is available from their main screen but have to click before seeing the script content. As such, click events can give an indication of physicians' interest to use the system. Following data of actual use are collected in the log file: the percentage of triggered scripts that are opened, the type of scripts that are opened (reminder, interaction, contraindication, drugs to avoid, indication or GuidelineLink), the number of requests to open the details of the script or the script information. |
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Katholieke Universiteit Leuven | Leuven | Vlaams-Brabant | 3000 | Belgium |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31910877 | Derived | Heselmans A, Delvaux N, Laenen A, Van de Velde S, Ramaekers D, Kunnamo I, Aertgeerts B. Computerized clinical decision support system for diabetes in primary care does not improve quality of care: a cluster-randomized controlled trial. Implement Sci. 2020 Jan 7;15(1):5. doi: 10.1186/s13012-019-0955-6. | |
| 23915250 | Derived |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D003924 | Diabetes Mellitus, Type 2 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
|
| Evidence Linker | Other | The Evidence Linker is already integrated in Belgian routine practice since 2012 and could be considered as part of the usual care process. When entering a diagnosis coded in ICPC, relevant clinical practice guidelines are retrieved by the Evidence Linker and could by consulted on the initiative of the family physician. |
|
| Outcome will be collected at five points in time: before the start of the study, at 3 months, at 6 months, at 9 months and at 12 months |
| Pre- to post-implementation change in a composite patient score. | The composite patient score consists of reaching the evidence-based targets for glycated hemoglobin, blood pressure (systolic and diastolic) and cholesterol. Differences between pre- and post-implementation will be forming the outcomes scores. | Outcome will be collected at five points in time: before the start of the study, at 3 months, at 6 months, at 9 months and at 12 months |
| Pre- to post-implementation change in a composite process score. | The process composite score consists of meeting the evidence-based targets of the number of blood pressure measurements, the number of laboratory results of HbA1c, cholesterol and micro-albuminuria, a prescription of statin (yes/no), if high cardiovascular risk a prescription of aspirin/clopidogrel (yes/no), if hypertension or nephropathy ACE inhibition/sartan (yes/no). Differences between pre- and post-implementation will be forming the outcomes scores. | Outcome will be collected at five points in time: before the start of the study, at 3 months, at 6 months, at 9 months and at 12 months |
| Outcomes will be collected at five points in time: before the start of the study, at 3 months, at 6 months, at 9 months and at 12 months |
| Heselmans A, Van de Velde S, Ramaekers D, Vander Stichele R, Aertgeerts B. Feasibility and impact of an evidence-based electronic decision support system for diabetes care in family medicine: protocol for a cluster randomized controlled trial. Implement Sci. 2013 Aug 5;8:83. doi: 10.1186/1748-5908-8-83. |
| D004700 | Endocrine System Diseases |