Low Indexes of Metabolism - Information to Teams (LIMIT)
Study Details
Study Description
Brief Summary
The purpose of this study is to determine whether alerting primary care providers by email about low values of BMI, HbA1c% or cholesterol will affect treatment and improve overall survival and other health indexes of people older than 75 years.
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
N/A |
Detailed Description
Scientific background
Interventions aimed to ameliorate malnutrition are important for elderly health and include dietary counseling and discontinuing unnecessary medicines.
Emailing an alert regarding low BMI was found to improve dietary counseling numbers.
Correlation between death and HbA1c% is U-shaped, with increased mortality under a 6.5% level in patients taking two anti-diabetic medicines. Sending an email alert regarding an over-tight control of diabetes was followed by a reduction in mortality.
Death and cholesterol correlation is also U-shaped, with increased mortality and morbidity under 160 mg%. The investigator found no interventional study for this situation.
Objectives
To check whether alerting the primary care providers by email, about low values of BMI, HbA1c% or cholesterol will affect treatment and improve health indexes of people older than 75 years.
Working hypotheses
During a year, and relative to the control group, intervention emails may result in the following:
-
A decrease in mortality.
-
An increase in dietary counseling percentage and a decrease in prescribing anti-diabetic and cholesterol-lowering medicines.
-
A decrease in medical expenses and in other morbidity indexes.
Type of research and methods of data collection
This randomized controlled trial will be conducted entirely through the existing computer system. The participants (patients) will be assigned to the two Arms/Groups "Intervention Email" and "Control". It has three separate interventions: a. Alerting about a significant drop in BMI. b. Alerting about a low HbA1c% level in patients taking anti-diabetics. c. Alerting about a low cholesterol level in patients taking cholesterol-lowering medicines. The alerts will be sent to the primary clinicians.
Method(s) of data analysis
Differences between intervention groups and control groups will be analyzed using Chi-square test (or Fishers' exact test) for categorical variables and using T-test (or Two-sample Wilcoxon test) for continuous variables.
Uniqueness and relevance
Health service policy regarding signs of malnutrition and excessive medicinal treatment needs a relevant scientific knowledge base. Nutritional counseling and revision of medicinal treatment may dramatically affect health. This research deals with questions that have no commercial interest, but are important to the public.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
Experimental: Intervention Email An email is sent, alerting the primary care providers about low values of BMI, HbA1c% or cholesterol and advising to consider appropriate dietary and medical revision. |
Other: Email
Automated Email to the primary doctor and nurse, with the details of the patient, the condition found and the relevant measures to consider.
Other Names:
|
No Intervention: Control No email is sent. |
Outcome Measures
Primary Outcome Measures
- Death From Any Cause [1 year]
Impact on overall-survival
Secondary Outcome Measures
- Impact on Evaluation Rate [1 year]
Percentage of patients evaluated by a nurse and counseled by a dietitian
- Impact on Medical Costs [1 year]
Medical expenses to the medical insurer, including hospitalizations, consultations, examinations, devices and medicines.
- Impact on a Composite Measure of Medical Treatment [1 year]
A composite measure of doses of prescribed anti-diabetic and cholesterol-lowering medicines - According to relevant alert by email.
Eligibility Criteria
Criteria
Inclusion Criteria:
- All found by computerized search in the data base of Clalit Health Services North and
South districts:
-
- A drop in BMI of 2 Kg/m^2 or more during previous two years AND
-
BMI less than 23 Kg/m^2 AND
-
No dietitian counseling during previous year
-
OR
-
- Last HbA1c% level of 6.5% or less AND
-
dispensing anti-diabetic medicines during previous 2 months
-
OR
-
- Last total cholesterol less than 160 mg/dL AND
-
dispensing cholesterol-lowering medicines during previous 2 months
Exclusion Criteria:
-
Patients whose their primary doctor and nurse email address is unobtainable
-
For criterion 3: Patients diagnosed to have had a myocardial infarction, an ischemic heart disease, a transient ischemic attack or an ischemic stroke.
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Clalit Health Services
Investigators
- Principal Investigator: Nir Tsabar, MD/PhD, ClalitHS North District Principal Geriatrist
Study Documents (Full-Text)
More Information
Additional Information:
Publications
- Currie CJ, Peters JR, Tynan A, Evans M, Heine RJ, Bracco OL, Zagar T, Poole CD. Survival as a function of HbA(1c) in people with type 2 diabetes: a retrospective cohort study. Lancet. 2010 Feb 6;375(9713):481-9. doi: 10.1016/S0140-6736(09)61969-3. Epub 2010 Jan 26.
- Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA. 2013 Jan 2;309(1):71-82. doi: 10.1001/jama.2012.113905. Review.
- Giovannelli J, Coevoet V, Vasseur C, Gheysens A, Basse B, Houyengah F. How can screening for malnutrition among hospitalized patients be improved? An automatic e-mail alert system when admitting previously malnourished patients. Clin Nutr. 2015 Oct;34(5):868-73. doi: 10.1016/j.clnu.2014.09.008. Epub 2014 Sep 18.
- Iribarren C, Reed DM, Chen R, Yano K, Dwyer JH. Low serum cholesterol and mortality. Which is the cause and which is the effect? Circulation. 1995 Nov 1;92(9):2396-403.
- 0023-15-COM
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- METABOL_EMAIL
- 0023-15-COM
Study Results
Participant Flow
Recruitment Details | |
---|---|
Pre-assignment Detail | Some of the participants may fit more than one criterion, as explained in the Eligibility section. Hence 7 subgroups are created: A) Fit only alert 1. B) Fit only alert 2. C) Fit only alert 3. D) Fit both alert 1. and alert 2. E) Fit both alert 1. and alert 3. F) Fit both alert 2. and alert 3. G) Fit all alerts: 1. , 2. and 3. |
Arm/Group Title | Intervention Email | Control |
---|---|---|
Arm/Group Description | An email is sent, alerting the primary care providers about low values of BMI, HbA1c% or cholesterol and advising to consider appropriate dietary and medical revision. Email: Automated Email to the primary doctor and nurse, with the details of the patient, the condition found and the relevant measures to consider. | No email is sent. |
Period Title: Overall Study | ||
STARTED | 4310 | 4274 |
Died Before Email Was Sent | 35 | 43 |
Left Before End of Trial | 6 | 13 |
COMPLETED | 4269 | 4218 |
NOT COMPLETED | 41 | 56 |
Baseline Characteristics
Arm/Group Title | Intervention Email | Control | Total |
---|---|---|---|
Arm/Group Description | An email is sent, alerting the primary care providers about low values of BMI, HbA1c% or cholesterol and advising to consider appropriate dietary and medical revision. Email: Automated Email to the primary doctor and nurse, with the details of the patient, the condition found and the relevant measures to consider. | No email is sent. | Total of all reporting groups |
Overall Participants | 4269 | 4218 | 8487 |
Age (years) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [years] |
80.6
(4.7)
|
80.8
(4.9)
|
80.7
(4.8)
|
Sex: Female, Male (Count of Participants) | |||
Female |
2484
58.2%
|
2445
58%
|
4929
58.1%
|
Male |
1785
41.8%
|
1773
42%
|
3558
41.9%
|
Race and Ethnicity Not Collected (Count of Participants) | |||
Count of Participants [Participants] |
0
0%
|
||
Region of Enrollment (participants) [Number] | |||
Israel |
4269
100%
|
4218
100%
|
8487
100%
|
Body Mass Index (BMI) (kg/m^2) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [kg/m^2] |
28.7
(5.9)
|
28.8
(5.9)
|
28.8
(5.9)
|
HbA1c% Mean (Standard Deviation) (%) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [%] |
6.51
(1.05)
|
6.46
(1.00)
|
6.49
(1.02)
|
Total Cholesterol Mean (Standard Deviation) (mg/dL) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [mg/dL] |
154.61
(33.88)
|
154.23
(33.60)
|
154.42
(33.74)
|
Outcome Measures
Title | Death From Any Cause |
---|---|
Description | Impact on overall-survival |
Time Frame | 1 year |
Outcome Measure Data
Analysis Population Description |
---|
[Not Specified] |
Arm/Group Title | Intervention Email | Control |
---|---|---|
Arm/Group Description | An email is sent, alerting the primary care providers about low values of BMI, HbA1c% or cholesterol and advising to consider appropriate dietary and medical revision. Email: Automated Email to the primary doctor and nurse, with the details of the patient, the condition found and the relevant measures to consider. | No email is sent. |
Measure Participants | 4269 | 4218 |
Count of Participants [Participants] |
285
6.7%
|
245
5.8%
|
Title | Impact on Evaluation Rate |
---|---|
Description | Percentage of patients evaluated by a nurse and counseled by a dietitian |
Time Frame | 1 year |
Outcome Measure Data
Analysis Population Description |
---|
[Not Specified] |
Arm/Group Title | Intervention Email | Control |
---|---|---|
Arm/Group Description | An email is sent, alerting the primary care providers about low values of BMI, HbA1c% or cholesterol and advising to consider appropriate dietary and medical revision. Email: Automated Email to the primary doctor and nurse, with the details of the patient, the condition found and the relevant measures to consider. | No email is sent. |
Measure Participants | 4269 | 4218 |
Count of Participants [Participants] |
3387
79.3%
|
3337
79.1%
|
Title | Impact on Medical Costs |
---|---|
Description | Medical expenses to the medical insurer, including hospitalizations, consultations, examinations, devices and medicines. |
Time Frame | 1 year |
Outcome Measure Data
Analysis Population Description |
---|
Data were not collected |
Arm/Group Title | Intervention Email | Control |
---|---|---|
Arm/Group Description | An email is sent, alerting the primary care providers about low values of BMI, HbA1c% or cholesterol and advising to consider appropriate dietary and medical revision. Email: Automated Email to the primary doctor and nurse, with the details of the patient, the condition found and the relevant measures to consider. | No email is sent. |
Measure Participants | 0 | 0 |
Title | Impact on a Composite Measure of Medical Treatment |
---|---|
Description | A composite measure of doses of prescribed anti-diabetic and cholesterol-lowering medicines - According to relevant alert by email. |
Time Frame | 1 year |
Outcome Measure Data
Analysis Population Description |
---|
Data were not collected. |
Arm/Group Title | Intervention Email | Control |
---|---|---|
Arm/Group Description | An email is sent, alerting the primary care providers about low values of BMI, HbA1c% or cholesterol and advising to consider appropriate dietary and medical revision. Email: Automated Email to the primary doctor and nurse, with the details of the patient, the condition found and the relevant measures to consider. | No email is sent. |
Measure Participants | 0 | 0 |
Adverse Events
Time Frame | Adverse event data were collected for 1 year | |||
---|---|---|---|---|
Adverse Event Reporting Description | Primary physicians and nurses who were recipients of the trial e-mail alert, were asked to report any adverse event to the principal investigator. No such report was received. | |||
Arm/Group Title | Intervention Email | Control | ||
Arm/Group Description | An email is sent, alerting the primary care providers about low values of BMI, HbA1c% or cholesterol and advising to consider appropriate dietary and medical revision. Email: Automated Email to the primary doctor and nurse, with the details of the patient, the condition found and the relevant measures to consider. | No email is sent. | ||
All Cause Mortality |
||||
Intervention Email | Control | |||
Affected / at Risk (%) | # Events | Affected / at Risk (%) | # Events | |
Total | 285/4269 (6.7%) | 245/4218 (5.8%) | ||
Serious Adverse Events |
||||
Intervention Email | Control | |||
Affected / at Risk (%) | # Events | Affected / at Risk (%) | # Events | |
Total | 0/4269 (0%) | 0/4218 (0%) | ||
Other (Not Including Serious) Adverse Events |
||||
Intervention Email | Control | |||
Affected / at Risk (%) | # Events | Affected / at Risk (%) | # Events | |
Total | 0/4269 (0%) | 0/4218 (0%) |
Limitations/Caveats
More Information
Certain Agreements
All Principal Investigators ARE employed by the organization sponsoring the study.
There is NOT an agreement between Principal Investigators and the Sponsor (or its agents) that restricts the PI's rights to discuss or publish trial results after the trial is completed.
Results Point of Contact
Name/Title | Dr. Nir Tsabar |
---|---|
Organization | CLALIT HEALTH SERVICES |
Phone | +97246049512 |
NIR.TSABAR@CLALIT.ORG.IL |
- 0023-15-COM
- ר/2015/49
- METABOL_EMAIL
- 0023-15-COM