Interventional Study to Decrease Cardiovascular Risk in Women in Primary Health Care in South Croatia

September 16, 2020 updated by: University of Split, School of Medicine

Association of the State Hope and Decisional Conflict With the Outcomes of an Educational Intervention to Decrease Cardiovascular Risk in Women: Mixed Methods Study in Primary Health Care

Patient education in lifestyle changes has a positive effect on health in individuals with cardiovascular (CV) risk Despite current positive evidence about lifestyle and dietary change in the prevention of CVD, the recommendations are still not consistently and optimally applied to women, particularly in relation to their menopausal status. More information is needed about factors that will support effective implementation of educational interventions for decreasing CV risk. The aim of our study was to analyze the effect of an educational intervention, presented as a 60-minute lecture in primary health care setting about CV risk factors to women with different menopausal status, in relation to their decisional conflict about their treatment for CV risk and hope that their health will improve according to desired expectations.

Study Overview

Detailed Description

The study took place in family medicine (FM) offices from 1 March to 1 September 2014. Two FM offices were in the city of Split, the capital of the Split-Dalmatian County, one office in the neighboring Adriatic island of Brač and one in the southern Adriatic island of Korčula.

All participants reported their most recent menstrual period. To assess the impact of reproductive status, we used the categorization proposed by the "Stages of Reproductive Aging Workshop" (STRAW): 1) premenopausal (PRE) women - last period reported within 61 days before the intervention; 2) perimenopausal (PERI) women - last period reported 61-365 days before the intervention; and 3) postmenopausal (POST) women - last period reported more than 365 days before the intervention.

All participants were exposed to the intervention. The intervention consisted of a 60-minute lecture titled "Change of lifestyle and nutrition habits to reduce cardiovascular risk". The lecture was delivered in family medicine offices by four specialists of family medicine individually to the groups of 6-8 participants. The lecture was verbal, harmonized among four family physicians, and contained instructions for changing nutrition habits, smoking habits and instructions for increasing physical activity. At the end of the lecture, each participant received a personally tailored decision aid, which included the list of her risk factors, assessment of the 10-year risk of fatal CVD (based on the data provided by the participants before the lecture), and instructions on what she should do in terms of changing the lifestyle habits.

The study participants first completed the Pre-study questionnaire (Questionnaire 1), which included: a) demographic data, b) attitudes and knowledge questionnaire about CV risk factors, c) decisional conflict scale (DCS), d) integrative hope scale (IHS), and e) eating habits questionnaire (20).

Attitudes and knowledge questionnaire about CV risk factors was created according to the model of "Ottawa Decision Support Tutorial".

The DCS consist of 16 items rated in a 5-point Likert-type response format, and measures individual's uncertainty toward a course of action. There are five subscales: uncertainty, informed, values clarity, support and effective decision. The scores on the total scale and subscales are calculated as a sum of items, divided by the number of items and multiplied by 25, allowing for a score range from zero (no decisional conflict) to 100 points (extreme decisional conflict). The Croatian version of the scale was previously validated.

The IHS is 23-items scale, a self-rating instrument with items being rated on a six-point Likert scale from 1, strongly disagree, to 6, strongly agree. It provides an overall score and four dimension scores, obtained by summing up the individual item scores, with negative items being rated inversely. This produces possible overall hope scores ranging from 23 to 138 with higher scores representing higher hopefulness. The scores for the sub-dimensions vary according to the number of items. The Croatian version of the scale was previously validated. Hope to be healthy at 70 and hope to reduce CV risk was assessed by a visual analogue scale from 0 to 100.

EPAT is a simple, quick, self-administered tool using an easy scoring method for accurately assessing fat and cholesterol intake. It is a reliable and valid substitute for more time-consuming food records. EPAT also provides an efficient way to monitor eating patterns of patients over time and is arranged to provide an educational message that reinforces the consumption of recommended types and numbers of servings of low-fat foods. The questionnaire was translated into Croatian by the authors and then back translated by an independent language expert to confirm the translation validity.

Ten-year risk of fatal CVD was estimated using the ACC/AHA (American College of Cardiology/American Heart Association) guidelines, based on the following data collected from the study participants: age, gender, race, total and HDL (high-density lipoprotein) cholesterol, systolic blood pressure, data about antihypertensive therapy, diabetes mellitus and smoking status.

Immediately after the lecture, the participants filled the Post-lecture questionnaire (Questionnaire 2), which included: a) attitudes and knowledge about CV risk factors, b) decisional conflict scale (DCS) and c) integrative hope scale (IHS).

Three months after the lecture, the participants filled in the last questionnaire (Questionnaire 3), which included: a) attitudes and knowledge about CV risk factors, b) decisional conflict scale (DCS), c) integrative hope scale (HIS) and d) eating habits questionnaire (EPAT). Ten-year risk of fatal CVD was also calculated at this time point.

BMI, waist and hip circumference, systolic and diastolic blood pressure, blood cholesterol, triglycerides, physical activity and smoking status were measured at each of three time points.

Six months after the intervention, we contacted the participants for the final assessment, along with their feedback on the intervention in general and their personal opinions on further improvements in their lifestyle. This feedback was in the form of a semi-structured interview conducted by the authors, the interview included 13 structured questions and 4 open-ended questions.

We preformed the thematic analysis of the answers, grouping them into theme categories. Categorization of the answers was made by the two independent assessors. After determining the categories, each answer was marked s 1 if matching to specific category or as 0 if not. Answers were used as predictors in further analysis.

After the study, we grouped the participants into those who reduced the CV risk and those that did not. We used logistic regression for all parameter we measured to identify factors contributing to the reduction in CV risk.

Chi square test was used to compare categorical variables (presented as absolute numbers and percentages). For continuous variables, presented as means with 95% confidence intervals, we used Mann-Whitney U test. P values ≤0.05 were considered statistically significant. Logistic regression was used to describe the relationships between variables. Odds ratio for each outcome were reported with 95% confidence interval. All statistical analyses were conducted using the MedCalc statistical program (version 16.2.1 MedCalc Software, Ostend, Belgium).

Study Type

Interventional

Enrollment (Actual)

104

Phase

  • Not Applicable

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

45 years to 60 years (Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Description

Inclusion Criteria:

  • female sex
  • age 45 to 60 years
  • one or more CV risk factors [overweight or obesity, i. e. body mass index (BMI) ≥25 kg/m2, and/or central obesity - waist circumference ≥88 cm, high blood pressure (systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure ≥90 mm Hg), high blood cholesterol (≥5.2 mmol/L) and active smoking]
  • participants on antihypertensive therapy were also included in the study

Exclusion Criteria:

  • current cardiovascular disease (CVD) (ischemic heart disease, peripheral artery disease, and stroke)
  • malignant diseases
  • serious systemic or mental diseases

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: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Participants who received informations about lifestyle change
All participants were exposed to the intervention. The intervention consisted of a 60-minute lecture titled "Change of lifestyle and nutrition habits to reduce cardiovascular risk". The lecture was delivered in family medicine offices by four specialists of family medicine individually to the groups of 6-8 participants. The lecture was verbal, harmonized among four family physicians, and contained instructions for changing nutrition habits, smoking habits and instructions for increasing physical activity. At the end of the lecture, each participant received a personally tailored decision aid, which included the list of her risk factors, assessment of the 10-year risk of fatal CVD (based on the data provided by the participants before the lecture), and instructions on what she should do in terms of changing the lifestyle habits.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Ten Year Risk of Cardiovascular Disease (CVD)
Time Frame: Change from baseline 10-year risk of CVD at 3 months
Ten-year risk of fatal CVD was estimated using the ACC/AHA (American College of Cardiology/American Heart Association) guidelines, based on the following data collected from the study participants: age, gender, race, total and HDL (high-density lipoprotein) cholesterol, systolic blood pressure, data about antihypertensive therapy, diabetes mellitus and smoking status.
Change from baseline 10-year risk of CVD at 3 months
Decisional Conflict (DC)
Time Frame: Change from baseline DC at 3 months
DC was estimated using Decisional Conflict Scale (DCS) consist of 16 items rated in a 5-point Likert-type response format, and measures individual's uncertainty toward a course of action. There are five subscales: uncertainty, informed, values clarity, support and effective decision. The scores on the total scale and subscales are calculated as a sum of items, divided by the number of items and multiplied by 25, allowing for a score range from zero (no decisional conflict) to 100 points (extreme decisional conflict). The Croatian version of the scale was previously validated.
Change from baseline DC at 3 months
State Hope
Time Frame: Change from baseline state hope at 3 months
State hope was estimated using Integrative Hope Scale (IHS), 23-items scale, a self-rating instrument with items being rated on a six-point Likert scale from 1, strongly disagree, to 6, strongly agree. It provides an overall score and four dimension scores, obtained by summing up the individual item scores, with negative items being rated inversely. This produces possible overall hope scores ranging from 23 to 138 with higher scores representing higher hopefulness. The scores for the sub-dimensions vary according to the number of items. The Croatian version of the scale was previously validated.
Change from baseline state hope at 3 months

Secondary Outcome Measures

Outcome Measure
Time Frame
Waist Circumference
Time Frame: Change from baseline waist circumference at 3 months
Change from baseline waist circumference at 3 months
Hips Circumference
Time Frame: Change from baseline hips circumference at 3 months
Change from baseline hips circumference at 3 months
Weight
Time Frame: Change from baseline weight at 3 months
Change from baseline weight at 3 months

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Slavica Jurić Petričević

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

March 1, 2014

Primary Completion (Actual)

September 1, 2014

Study Completion (Actual)

March 1, 2015

Study Registration Dates

First Submitted

February 28, 2019

First Submitted That Met QC Criteria

March 4, 2019

First Posted (Actual)

March 5, 2019

Study Record Updates

Last Update Posted (Actual)

October 9, 2020

Last Update Submitted That Met QC Criteria

September 16, 2020

Last Verified

February 1, 2019

More Information

Terms related to this study

Other Study ID Numbers

  • No. IP-2014-09-7672

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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