Low Indexes of Metabolism - Information to Teams (LIMIT)

Sponsor
Clalit Health Services (Other)
Overall Status
Completed
CT.gov ID
NCT02476578
Collaborator
(none)
8,584
2
13

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
  • Other: Email
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

Study Type:
Interventional
Actual Enrollment :
8584 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Masking:
None (Open Label)
Primary Purpose:
Treatment
Official Title:
Sending Advisory Electronic Mail to Primary Care Staff, Addressing Low Metabolic Measures: Assessing the Health Outcomes for Patients Above Age 75
Study Start Date :
Oct 1, 2015
Actual Primary Completion Date :
Nov 1, 2016
Actual Study Completion Date :
Nov 1, 2016

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:
  • "Dry Counseling"
  • No Intervention: Control

    No email is sent.

    Outcome Measures

    Primary Outcome Measures

    1. Death From Any Cause [1 year]

      Impact on overall-survival

    Secondary Outcome Measures

    1. Impact on Evaluation Rate [1 year]

      Percentage of patients evaluated by a nurse and counseled by a dietitian

    2. Impact on Medical Costs [1 year]

      Medical expenses to the medical insurer, including hospitalizations, consultations, examinations, devices and medicines.

    3. 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

    Ages Eligible for Study:
    75 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • All found by computerized search in the data base of Clalit Health Services North and
    South districts:
      1. 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

      1. Last HbA1c% level of 6.5% or less AND
    • dispensing anti-diabetic medicines during previous 2 months

    • OR

      1. 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

    Responsible Party:
    Dr. Nir Tsabar, North District Principal Geriatrician, Clalit Health Services
    ClinicalTrials.gov Identifier:
    NCT02476578
    Other Study ID Numbers:
    • 0023-15-COM
    • ר/2015/49
    • METABOL_EMAIL
    • 0023-15-COM
    First Posted:
    Jun 19, 2015
    Last Update Posted:
    Apr 9, 2020
    Last Verified:
    Mar 1, 2020
    Individual Participant Data (IPD) Sharing Statement:
    Yes
    Plan to Share IPD:
    Yes
    Keywords provided by Dr. Nir Tsabar, North District Principal Geriatrician, Clalit Health Services
    Additional relevant MeSH terms:

    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

    1. Primary Outcome
    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%
    2. Secondary Outcome
    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%
    3. Secondary Outcome
    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
    4. Secondary Outcome
    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

    [Not Specified]

    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
    Email NIR.TSABAR@CLALIT.ORG.IL
    Responsible Party:
    Dr. Nir Tsabar, North District Principal Geriatrician, Clalit Health Services
    ClinicalTrials.gov Identifier:
    NCT02476578
    Other Study ID Numbers:
    • 0023-15-COM
    • ר/2015/49
    • METABOL_EMAIL
    • 0023-15-COM
    First Posted:
    Jun 19, 2015
    Last Update Posted:
    Apr 9, 2020
    Last Verified:
    Mar 1, 2020