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
Aperçu de l'étude
Statut
Les conditions
Intervention / Traitement
Description détaillée
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.
Type d'étude
Inscription (Réel)
Phase
- N'est pas applicable
Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
Accepte les volontaires sains
Sexes éligibles pour l'étude
La description
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 d'étude
Comment l'étude est-elle conçue ?
Détails de conception
- Objectif principal: Traitement
- Répartition: Randomisé
- Modèle interventionnel: Affectation parallèle
- Masquage: Aucun (étiquette ouverte)
Armes et Interventions
Groupe de participants / Bras |
Intervention / Traitement |
|---|---|
|
Expérimental: 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.
Autres noms:
|
|
Aucune intervention: Control
No email is sent.
|
Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Death From Any Cause
Délai: 1 year
|
Impact on overall-survival
|
1 year
|
Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Impact on Evaluation Rate
Délai: 1 year
|
Percentage of patients evaluated by a nurse and counseled by a dietitian
|
1 year
|
|
Impact on Medical Costs
Délai: 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
Délai: 1 year
|
A composite measure of doses of prescribed anti-diabetic and cholesterol-lowering medicines - According to relevant alert by email.
|
1 year
|
Collaborateurs et enquêteurs
Parrainer
Les enquêteurs
- Chercheur principal: Nir Tsabar, MD/PhD, ClalitHS North District Principal Geriatrist
Publications et liens utiles
Publications générales
- 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.
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude
Achèvement primaire (Réel)
Achèvement de l'étude (Réel)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Estimation)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Mots clés
Termes MeSH pertinents supplémentaires
Autres numéros d'identification d'étude
- 0023-15-COM (Identificateur de registre: Clalit Health Organization Community Division)
- ר/2015/49 (Autre subvention/numéro de financement: The Israel National Institute for Health Policy Research)
- METABOL_EMAIL (Autre identifiant: Clalit Health Organization North District Research Group)
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
Description du régime IPD
Délai de partage IPD
Critères d'accès au partage IPD
Type d'informations de prise en charge du partage d'IPD
- PROTOCOLE D'ÉTUDE
- SÈVE
Données/documents d'étude
-
Protocole d'étude
Commentaires d'informations: LIMIT HEBREW PROTOCOL Version 3 (Final)
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