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"
NCT Number: NCT02476578
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.
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Notify Me75 year and older
All sexes
Interventional
Not applicable
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:
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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"
Time frame: 1 year
Impact on overall-survival
Time frame: 1 year
Percentage of patients evaluated by a nurse and counseled by a dietitian
Time frame: 1 year
Medical expenses to the medical insurer, including hospitalizations, consultations, examinations, devices and medicines.
Time frame: 1 year
A composite measure of doses of prescribed anti-diabetic and cholesterol-lowering medicines - According to relevant alert by email.
Clalit Health Services
Other
Sending Advisory Electronic Mail to Primary Care Staff, Addressing Low Metabolic Measures: Assessing the Health Outcomes for Patients Above Age 75
Acronym: LIMIT
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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