Contextualizing the Evidence for Action on Diabetes - Cohort — CEAD  

Diabetes Mellitus, Type 2 Clinical Trial

Official title: Contextualizing Evidence for Action on Diabetes in Low-resource Settings: a Mixed-methods Case Study in Quito and Esmeraldas, Ecuador.

Status Recruiting

Clinical Trial Summary

This protocol reflects the second part of a larger mixed-methods study aimed at exploring the process by which global recommendations can be translated into context-specific, evidence-informed action for diabetes prevention in low-resource settings. Firstly, a retrospective cohort study will assess the current level of implementation of comprehensive diabetes care over a 24-month period (2019-2020), by describing healthcare received and health outcomes of a representative sample of diabetes patients currently accessing care in the study region. Focus groups prompted by the findings of the retrospective study will be used to inspire local innovations which will be evaluated through a prospective follow-up of the cohort.

Clinical Trial Description

Objective: To evaluate the implementation of comprehensive diabetes care in two low-resource settings in Ecuador. Specific objectives: 1. To assess patient outcomes including biochemical diabetes control and health-related quality of life. 2. To evaluate diabetes-related health care access. 3. To assess complications related to diabetes. Sample size: The sample size is proposed conservatively to ensure a precision to estimate outcomes of 50% with an absolute precision of ±5%, assuming a design effect of 1.2 and potential loss of 20%. Sample design: A representative sample for each district will be obtained by stratified single-stage cluster sampling. The clusters are health facilities for which a sample of patients will randomly selected. The sample will be stratified by facility type (Ministry of Public Health (MSP) facilities, or Social Security facilities for affiliated workers) in Quito and by Rural/Urban setting in Esmeraldas. Patient sampling will use the electronic consultation registry of each selected facility where possible. Data unavailable in the electronic registers will be extracted from any available paper files. Data collection procedure: Research assistants will obtain the data mainly from health services records, which will be supplemented by patient interviews including socio-demographic and clinical data, perceived social support (the Multidimensional Scale of Perceived Social Support, MSPSS) and health-related quality of life (the Diabetes Health Profile-18, DHP-18) profile. They will collect data regarding whether the patient received regular review by a clinician, and underwent screening for diabetes complications as recommended in the 2017 Clinical Practice Guideline for Type 2 Diabetes in Ecuador. He/she will record the date and details of any complications and experiences over the course of the evaluation and other clinical data such as comorbidities, treatments or patient management by a multidisciplinary health care team. The first data collection will be retrospective and will include diabetes-related health care and clinical outcomes during 2019 and 2020. Clinical files will be reviewed every 12 months for the duration of follow-up (2 years). Supplementary interview data will be assessed on a baseline and in the last 6 months of follow-up. Analysis: The researchers will calculate the proportion of patients that received care as per the clinical practice guideline (CPG) recommendations and/or the proportion receiving an intermediate level of care (as required). Proportions will be described with 95% confidence intervals. Variation in healthcare received and diabetes-related health will be described using sociodemographic and clinical characteristics of the patients to highlight potential inequities. A multivariate logistic regression model may be used to explore the relationship between the primary outcomes and socioeconomic explanatory variable and/or type of health facility. If necessary, the researchers will adjust for potential confounders such as patients' factors (e.g. sex, age, comorbidity, perceived social support) and/or environmental factors (e.g. proximity to the health centre, availability of different medical specialties or methods as laboratory test). Statistical analysis will be performed using Stata/SE (StataCorp, College Station, TX, USA) Version 15. ;

Related Conditions & MeSH terms

• Diabetes Mellitus
• Diabetes Mellitus, Type 2

• NCT number: NCT04560062
• Study type: Observational
• Source: Universidad Miguel Hernandez de Elche
• Contact: Lucy Anne Parker
• Phone: +34 965919516
• Email: lparker@umh.es
• Status: Recruiting
• Start date: October 13, 2020
• Completion date: June 30, 2022