Health Dialogue Intervention Versus Opportunistic Screening for Type 2 Diabetes and Cardiovascular Disease Prevention

January 30, 2024 updated by: Region Stockholm

Effectiveness of a Health Dialogue Intervention Versus Opportunistic Screening in Primary Care for Type 2 Diabetes and Cardiovascular Disease Prevention in Low Socioeconomic Settings - The DETECT Trial

Chronic diseases such as cardiovascular disease and diabetes type 2 are major causes of death worldwide. Preventive interventions can be delivered through primary care, as this is the first-line healthcare with which a considerable proportion of the population comes into contact every year. The goal of this cluster-randomized trial is to compare the effects of a Health Dialogue Intervention (HDI) to Opportunistic Screening (OS) in primary care among middle-aged adults with low socioeconomic status. The main questions it aims to answer are:

  • What is the short-term change in cardiovascular risk factors, lifestyle behaviors, and perceived quality-of-life among participants offered HDI, as compared to participants offered OS?
  • What is the long-term risk of ischemic heart disease, stroke, type 2 diabetes, and death due to cardiovascular disease or type 2 diabetes, among participants offered HDI, as compared to participants offered OS?

Study Overview

Detailed Description

DETECT (health Dialogue intErvention versus opporTunistic scrEening in primary Care for Type 2 diabetes and cardiovascular disease prevention) targets the challenges of primary prevention for individuals with low socioeconomic status by implementing and evaluating two preventive interventions, a Health Dialogue Intervention (HDI) and an Opportunistic Screening (OS), conducted in primary care, specifically targeting settings with low socioeconomic status. The interventions will focus on detecting risk factors for CVD and supporting changes in unhealthy lifestyle behaviors.

The study is designed as a parallel cluster-randomized trial with two conditions, with primary care centers (PCCs) serving as the unit of randomization and individual patients as units of observation for primary and secondary outcomes. Participants randomized to the HDI intervention will be invited to partake in a systematic screening of cardiovascular and metabolic risk factors using questionnaires, blood sampling, and clinical examinations, all of which together form the risk profile. Next, they will be invited to an individually oriented health dialogue which is prescribed by a care provider. The dialogue focuses on promoting healthy lifestyle behaviors and is based on the screening results and the given risk profile. The effects of HDI will be compared to that from OS, wherein participants will be recruited upon scheduling of an appointment at their PCC for any reason, except for individuals with pre-scheduled appointments related to hypertension, T2D, and CVD. Participants receiving OS will be screened for hypertension, overweight/obesity, tobacco usage, blood-lipid profile, and blood glucose.

Short-term outcomes will be assessed at baseline, and 6 and 12-months after receiving the intervention, and long-term outcomes (i.e. 5 and 10 years post intervention) using nationwide registers.

The goal is to recruit a total of 30 PCCs (n=15 in each arm) in the county of Stockholm. Based on real observed variance in levels of systolic blood pressure in the county of Stockholm and accounting for clustering effects, the investigators calculate that a minimum of 840 participants (n=420 in each arm and n=28 per cluster) would yield 80% power to detect a reduction of 5 mmHg systolic blood pressure in the HDI group. To allow for the expected difficulties with recruitment and subsequent attrition, the investigators therefore aim to recruit n=100 patients per cluster, yielding a total study population of 3000.

The core tool of analysis will be a hierarchical model consisting of two levels, individuals and PCCs. The primary model for analyzing changes in systolic blood pressure (primary outcome), other risk factors, lifestyle behaviors, and quality-of-life over 6 and 12 months, will be a mixed-effects Generalized Linear Model to capture variability between and within PCCs. In these models, the treatment effect (HDI versus OS) will be assessed using a fixed effect represented by a dummy variable at PCC level, specifying the type of treatment (HDI/OS). Together, this enables the estimation of the average treatment effect, while accounting for the hierarchical structure of the data. We will estimate unadjusted effects and effects adjusted both/either at the individual level and PCC level, e.g., adjusted for demographic characteristics, socioeconomic status, CNI level, and baseline values of the referred outcome. The analysis will be conducted on an intention-to-treat basis. Potential effect modification will be explored through subgroup analyses and interaction analyses considering sex, birth country, and socioeconomic characteristics. A sensitivity analysis will be conducted to assess whether the individual randomization of a single PCC introduced bias. Thus, we will perform analyzes both including and excluding this PCC.

For the assessment of T2D and CVD incidence and mortality during the extended 5 and 10 years of follow-up, we will calculate hazard ratios using a mixed-effect Cox regression. We will also calculate the number needed to treat (NNT) as 1/absolute risk reduction.

Finally, we also aim to estimate the time needed to treat (TNT) for the interventions. The TNT is a new method designed to consider clinician's time as a finite resource, with the aim of facilitating for guideline committees who develop clinical practice guidelines. The TNT can be expressed in three different ways: 1) the clinician time needed to improve the outcome for one person (TNTNNT), 2) the clinician time needed to provide the intervention for all eligible in a population (absolute TNT), 3) the proportion of the total clinician time available for patient care needed to implement the intervention for everyone eligible (relative TNT). More detailed information on the TNT method and its assumptions is available elsewhere.

Study Type

Interventional

Enrollment (Estimated)

3000

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Stockholm, Sweden, 10435
        • Center for epidemiology and community medicine, Region Stockholm

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Primary care centres with a Care Need Index above 1.0
  • Patients listed at the participating primary care centers.

Exclusion Criteria:

• None.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Health Dialogue Intervention
  1. Lifestyle assessment: All participants fill out a questionnaire to assess behavioral risk factors for CVD and undergo blood tests for cholesterol and blood glucose.
  2. Lifestyle health dialogue: When presenting in person at the primary care center, blood pressure, BMI, and waist-hip ratio will be measured. The results from the questionnaire, blood tests, blood pressure, and body measurements will be summarized using a visual tool, in which risk factors are graded into risk levels to estimate CVD risk. The visual tool will then be used in the health dialogue to discuss risk factors. The health dialogue is conducted by a licensed healthcare professional who has been trained in the methodology. The dialogue will be conducted in a person-centered manner and will aim to motivate and support lifestyle behavior changes when needed. If necessary, medical treatment will be provided according to existing guidelines.
Experimental: Opportunistic Screening
  1. Risk factor assessment: Opportunistic screening entails screening for risk factors (blood pressure, BMI, blood tests for cholesterol and blood glucose, and smoking) among patients visiting the primary care center for another reason. Screening is conducted by a healthcare professional at which the patient has an appointment.
  2. Detected risk factors for CVD are treated according to the existing care programs and guidelines at the primary care center, which should always include lifestyle advice as the first intervention and medication if hypertension is established. In this intervention, there is a more limited assessment of behavioral risk factors; that is, patients are asked about smoking, but assessment of diet, physical activity, or alcohol consumption is not included in the opportunistic screening.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in systolic blood pressure (mmHg)
Time Frame: Baseline (defined as time of HDI/OS), 6 months post intervention, 12 months post intervention
Measured by care providers in accordance with routine guidelines
Baseline (defined as time of HDI/OS), 6 months post intervention, 12 months post intervention

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in blood cholesterol levels
Time Frame: Baseline, 6 months post intervention, 12 months post intervention
Measured by care providers in accordance with routine guidelines
Baseline, 6 months post intervention, 12 months post intervention
Change in blood glucose levels
Time Frame: Baseline, 6 months post intervention, 12 months post intervention
Measured by care providers in accordance with routine guidelines
Baseline, 6 months post intervention, 12 months post intervention
Change in body-mass-index
Time Frame: Baseline, 6 months post intervention, 12 months post intervention
Measured by care providers in accordance with routine guidelines
Baseline, 6 months post intervention, 12 months post intervention
Change in dietary habits
Time Frame: Baseline, 6 months post intervention, 12 months post intervention
Measured by self-reported questionnaires
Baseline, 6 months post intervention, 12 months post intervention
Change in alcohol consumption
Time Frame: Baseline, 6 months post intervention, 12 months post intervention
Measured by self-reported questionnaires
Baseline, 6 months post intervention, 12 months post intervention
Change in physical activity
Time Frame: Baseline, 6 months post intervention, 12 months post intervention
Measured by self-reported questionnaires
Baseline, 6 months post intervention, 12 months post intervention
Mortality due to cardiovascular disease or type 2 diabetes
Time Frame: 5 and 10 years post intervention
Collected from national registries
5 and 10 years post intervention
Healthcare costs in the health dialogue group vs. the opportunistic screening group
Time Frame: 12 months post intervention
Administrative data collected form health care providers
12 months post intervention
Costs per attained blood pressure target among individuals in the health dialogue group vs. the opportunistic screening group
Time Frame: 12 month post intervention
Administrative data collected form health care providers
12 month post intervention
Incidence of ischemic heart disease
Time Frame: 5 and 10 years post intervention
Collected from national registries
5 and 10 years post intervention
Incidence of stroke
Time Frame: 5 and 10 years post intervention
Collected from national registries
5 and 10 years post intervention
Incidence of type 2 diabetes
Time Frame: 5 and 10 years post intervention
Collected from national registries
5 and 10 years post intervention
Change in quality-of-life
Time Frame: Baseline, 6 months post intervention, 12 months post intervention
Measured by EQ-5D (EuroQol-5 Dimension). From the five dimensions, a summary index is derived, with a maximum score of 1, where 1 indicates the best health state.
Baseline, 6 months post intervention, 12 months post intervention
Change in tobacco usage
Time Frame: Baseline, 6 months post intervention, 12 months post intervention
Measured by self-reported questionnaires
Baseline, 6 months post intervention, 12 months post intervention

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Hanna Augustsson, PhD, Center for epidemiology and community medicine, Region Stockholm

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 1, 2023

Primary Completion (Estimated)

April 1, 2025

Study Completion (Estimated)

April 1, 2025

Study Registration Dates

First Submitted

September 27, 2023

First Submitted That Met QC Criteria

September 27, 2023

First Posted (Actual)

October 4, 2023

Study Record Updates

Last Update Posted (Estimated)

February 1, 2024

Last Update Submitted That Met QC Criteria

January 30, 2024

Last Verified

September 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data will not be shared in accordance with Swedish law and regulations.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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