Low Indexes of Metabolism - Information to Teams (LIMIT) (LIMIT)
Sending Advisory Electronic Mail to Primary Care Staff, Addressing Low Metabolic Measures: Assessing the Health Outcomes for Patients Above Age 75
Przegląd badań
Status
Warunki
Interwencja / Leczenie
Szczegółowy opis
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.
Typ studiów
Zapisy (Rzeczywisty)
Faza
- Nie dotyczy
Kryteria uczestnictwa
Kryteria kwalifikacji
Wiek uprawniający do nauki
Akceptuje zdrowych ochotników
Płeć kwalifikująca się do nauki
Opis
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
- 2. Last HbA1c% level of 6.5% or less AND
- dispensing anti-diabetic medicines during previous 2 months
- OR
- 3. 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.
Plan studiów
Jak projektuje się badanie?
Szczegóły projektu
- Główny cel: Leczenie
- Przydział: Randomizowane
- Model interwencyjny: Przydział równoległy
- Maskowanie: Brak (otwarta etykieta)
Broń i interwencje
Grupa uczestników / Arm |
Interwencja / Leczenie |
|---|---|
|
Eksperymentalny: 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.
|
Automated Email to the primary doctor and nurse, with the details of the patient, the condition found and the relevant measures to consider.
Inne nazwy:
|
|
Brak interwencji: Control
No email is sent.
|
Co mierzy badanie?
Podstawowe miary wyniku
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
|
Death From Any Cause
Ramy czasowe: 1 year
|
Impact on overall-survival
|
1 year
|
Miary wyników drugorzędnych
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
|
Impact on Evaluation Rate
Ramy czasowe: 1 year
|
Percentage of patients evaluated by a nurse and counseled by a dietitian
|
1 year
|
|
Impact on Medical Costs
Ramy czasowe: 1 year
|
Medical expenses to the medical insurer, including hospitalizations, consultations, examinations, devices and medicines.
|
1 year
|
|
Impact on a Composite Measure of Medical Treatment
Ramy czasowe: 1 year
|
A composite measure of doses of prescribed anti-diabetic and cholesterol-lowering medicines - According to relevant alert by email.
|
1 year
|
Współpracownicy i badacze
Sponsor
Śledczy
- Główny śledczy: Nir Tsabar, MD/PhD, ClalitHS North District Principal Geriatrist
Publikacje i pomocne linki
Publikacje ogólne
- 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.
- 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. doi: 10.1161/01.cir.92.9.2396.
- 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.
- 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.
- Tsabar N, Press Y, Rotman J, Klein B, Grossman Y, Vainshtein-Tal M, Eilat-Tsanani S. A Randomized Trial of Alerting to Low Glycated Hemoglobin Level in Older Adults: Results of the Low Indexes of Metabolism Intervention Trial B (LIMIT-B). J Am Med Dir Assoc. 2020 Feb;21(2):277-280.e3. doi: 10.1016/j.jamda.2019.08.004. Epub 2019 Oct 3.
- Tsabar N, Press Y, Rotman J, Klein B, Grossman Y, Vainshtein-Tal M, Eilat-Tsanani S. A Randomized Trial of Alerting to Hypocholesterolemia Results of the Low Indexes of Metabolism Intervention Trial-C (LIMIT-C). J Am Med Dir Assoc. 2020 Mar;21(3):410-414. doi: 10.1016/j.jamda.2019.08.018. Epub 2019 Oct 12.
- Tsabar N, Press Y, Rotman J, Klein B, Grossman Y, Vainshtein-Tal M, Eilat-Tsanani S. Randomized trial results of alerting primary clinicians to severe weight loss among older adults in the Low Indexes of Metabolism Intervention Trial part A. Geriatr Gerontol Int. 2020 Apr;20(4):329-335. doi: 10.1111/ggi.13888. Epub 2020 Feb 16.
- Tsabar N, Press Y, Rotman J, Klein B, Grossman Y, Vainshtein-Tal M, Eilat-Tsanani S. The low indexes of metabolism intervention trial (LIMIT): design and baseline data of a randomized controlled clinical trial to evaluate how alerting primary care teams to low metabolic values, could affect the health of patients aged 75 or older. BMC Health Serv Res. 2018 Jan 5;18(1):4. doi: 10.1186/s12913-017-2812-0.
Daty zapisu na studia
Główne daty studiów
Rozpoczęcie studiów
Zakończenie podstawowe (Rzeczywisty)
Ukończenie studiów (Rzeczywisty)
Daty rejestracji na studia
Pierwszy przesłany
Pierwszy przesłany, który spełnia kryteria kontroli jakości
Pierwszy wysłany (Oszacować)
Aktualizacje rekordów badań
Ostatnia wysłana aktualizacja (Rzeczywisty)
Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości
Ostatnia weryfikacja
Więcej informacji
Terminy związane z tym badaniem
Słowa kluczowe
Dodatkowe istotne warunki MeSH
Inne numery identyfikacyjne badania
- 0023-15-COM (Identyfikator rejestru: Clalit Health Organization Community Division)
- ר/2015/49 (Inny numer grantu/finansowania: The Israel National Institute for Health Policy Research)
- METABOL_EMAIL (Inny identyfikator: Clalit Health Organization North District Research Group)
Plan dla danych uczestnika indywidualnego (IPD)
Planujesz udostępniać dane poszczególnych uczestników (IPD)?
Opis planu IPD
Ramy czasowe udostępniania IPD
Kryteria dostępu do udostępniania IPD
Typ informacji pomocniczych dotyczących udostępniania IPD
- PROTOKÓŁ BADANIA
- SOK ROŚLINNY
Badanie danych/dokumentów
-
Protokół badania
Komentarze do informacji: LIMIT HEBREW PROTOCOL Version 3 (Final)
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