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Intervention to Reduce Dietary Sodium in Hemodialysis (BalanceWise-HD)

This study has been completed.
Sponsor:
ClinicalTrials.gov Identifier:
NCT01125202
First Posted: May 18, 2010
Last Update Posted: August 15, 2017
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Collaborators:
University of Iowa
National Institute of Nursing Research (NINR)
Information provided by (Responsible Party):
Mary Ann Sevick, University of Pittsburgh
  Purpose
The purpose of this study is to test, in a randomized clinical trial of 200 hemodialysis patients, a behavioral intervention to reduce dietary sodium intake. The investigators will assess the impact on weight gain between dialysis treatments, blood pressures, symptoms, and health-related quality of life. The primary study hypotheses are that participants will gain less weight in between dialysis treatments, and that dietary recalls will demonstrate reduced consumption of dietary sodium.

Condition Intervention
Renal Dialysis Behavioral: SCT-based behavioral intervention Behavioral: Attention Control

Study Type: Interventional
Study Design: Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: None (Open Label)
Primary Purpose: Treatment
Official Title: Intervention to Reduce Dietary Sodium in Hemodialysis

Resource links provided by NLM:


Further study details as provided by Mary Ann Sevick, University of Pittsburgh:

Primary Outcome Measures:
  • Time Specific Interdialytic Weight Gain (Baseline) [ Time Frame: Baseline ]
    Average interdialytic weight gains (kg/day) were calculated for the 1 week period prior to baseline measurement.

  • Time Specific Interdialytic Weight Gain (8 Weeks) [ Time Frame: 8 weeks ]
    Average interdialytic weight gains (kg/day) were calculated for the 1 week period prior to the 8-week measurement time point.

  • Time Specific Interdialytic Weight Gain (12 Weeks) [ Time Frame: 12 weeks ]
    Average interdialytic weight gains (kg/day) were calculated for the 1 week period prior to the 12 week measurement time point.

  • Time Specific Interdialytic Weight Gain (16 Weeks) [ Time Frame: 16 weeks ]
    Average interdialytic weight gains (kg/day) were calculated for the 1 week period prior to the 16 week measurement time point.

  • Time Specific Dietary Sodium Intake (Baseline) [ Time Frame: Baseline ]
    Dietary sodium intake was assessed via three 24-hour dietary recalls, including 1 dialysis weekday, 1 non-dialysis weekday, and 1 non dialysis weekend day. Recalls were entered into Nutrition Data System for Research, with sodium intake averaged across the 3 recalls.

  • Time Specific Dietary Sodium Intake (8 Weeks) [ Time Frame: 8 weeks ]
    Dietary sodium intake was assessed via three 24-hour dietary recalls, including 1 dialysis weekday, 1 non-dialysis weekday, and 1 non dialysis weekend day. Recalls were entered into Nutrition Data System for Research, with sodium intake averaged across the 3 recalls.

  • Time Specific Dietary Sodium Intake (16 Weeks) [ Time Frame: 16 weeks ]
    Dietary sodium intake was assessed via three 24-hour dietary recalls, including 1 dialysis weekday, 1 non-dialysis weekday, and 1 non dialysis weekend day. Recalls were entered into Nutrition Data System for Research, with sodium intake averaged across the 3 recalls.

  • Time Specific Change From Baseline in Dietary Sodium Intake (Baseline to 8 Weeks) [ Time Frame: Baseline to 8 weeks ]
    Dietary sodium intake was assessed via three 24-hour dietary recalls, including 1 dialysis weekday, 1 non-dialysis weekday, and 1 non dialysis weekend day. Recalls were entered into Nutrition Data System for Research, with sodium intake averaged across the 3 recalls. The difference between measurement time points was determined.

  • Time Specific Change From Baseline in Dietary Sodium Intake (Baseline to 16 Weeks) [ Time Frame: Baseline to 16 weeks ]
    Dietary sodium intake was assessed via three 24-hour dietary recalls, including 1 dialysis weekday, 1 non-dialysis weekday, and 1 non dialysis weekend day. Recalls were entered into Nutrition Data System for Research, with sodium intake averaged across the 3 recalls.


Enrollment: 179
Study Start Date: September 2009
Study Completion Date: September 2012
Primary Completion Date: September 2012 (Final data collection date for primary outcome measure)
Arms Assigned Interventions
Experimental: SCT-based behavioral intervention
Intervention participants continue to receive routine dialysis care, as well as a 16 week dietary counseling intervention based on Social Cognitive Theory. Dietary counseling is paired with Personal Digital Assistant-based dietary self-monitoring.
Behavioral: SCT-based behavioral intervention
Intervention group continues to receive routine dialysis care. The intervention duration is 16 weeks. Intervention contacts are 2x/week for weeks 0-8, weekly for weeks 9-12, and every other week for weeks 13-16. Personal digital assistant dietary records are use to provide targeted counseling and engaged the participant in problem solving around dietary issues.
Active Comparator: Attention control
Attention control participants continue to receive routine dialysis care. Attention control participants view 5 computerized educational programs PowerPoint slides) that summarize the various elements of the HD diet. The 5 modules evenly over the 4-month study period.
Behavioral: Attention Control
Attention control participants continue to receive routine dialysis care. Attention control participants view 5 computerized educational programs PowerPoint slides) that summarize the various elements of the HD diet. The 5 modules evenly over the 4-month study period.

Detailed Description:
Cardiovascular disease is the single most common cause of death in hemodialysis (HD) patients. Most HD patients have left ventricular hypertrophy(LVH), a significant predictor of death in this population. LVH is related to extracellular volume expansion and hypertension, both of which are amenable to dietary sodium restriction. However, dietary change is widely known to be difficult to achieve and sustain. Controlling dietary sodium is particularly difficult for HD because many foods are naturally high in sodium, and most prepared/prepackaged foods have significant amounts of sodium added to enhance taste and shelf-life. Research on behavioral methods that are effective in reducing dietary sodium intake in HD is very limited. The purpose of this study is to test, in a randomized clinical trial of 200 HD patients, a behavioral intervention, paired with personal digital assistant (PDA)-based dietary self-monitoring, to enhance adherence to dietary sodium restrictions. Specifically the investigators will: (a) Assess the impact of the intervention on average daily interdialytic weight gains (IDWG-A). (b) Examine the impact of the intervention on self-reported dietary sodium intake. The study hypotheses are that compared to the control group, the intervention group will: (1) demonstrate a statistically significant decline in IDWG-A over the 4-month intervention period, and (2) experience a greater decline in dietary sodium intake. Secondarily, the investigators will explore the impact of the intervention on: (a) pre-dialysis pulse pressure and mean arterial blood pressure, (b) hemodialysis dietary self-efficacy, and (c) intradialytic and postdialytic symptoms and general health-related quality of life. In addition, the investigators will characterize the barriers/facilitators to adherence to the HD dietary regimen and patient experience of the intervention through the use of qualitative methods. The intervention is based on Social Cognitive Theory (SCT). Self-monitoring within the context of the intervention is operationalized as PDA-based dietary recording using BalanceLog software. Participants randomized to the attention control will receive computerized dietary education. Attention control participants will be offered an abbreviated version of the intervention after the 4-month study period concludes. Differences in IDWG-A, pulse pressure, and mean arterial pressure will be examined using a random intercept linear regression modeling. Self-reported dietary sodium, self-efficacy, symptoms, and quality of life will be assessed at baseline, 6 weeks, and 4 month and differences will be examined using repeated measures modeling using GEE. Qualitative analysis of narrative data will be performed.
  Eligibility

Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years and older   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Criteria

Inclusion Criteria:

  • Individuals with end stage renal disease (ESRD) who are 18 years of age or older,
  • Individuals who are literate,
  • Community-dwelling adults who have been receiving maintenance dialysis for at least 3 months.

Exclusion Criteria:

  • Individuals who cannot read or write,
  • Individuals who do not speak English,
  • Individuals who plan to move out of the area or change dialysis centers within the next 6 months,
  • Individuals who have a life expectancy of less than 12 months,
  • Individuals who are scheduled for a living donor transplant,
  • Individuals who cannot see the PDA screen or use the stylus to make food selections from the PDA screen, or
  • Individuals who live in an institutional setting in which they would have limited control over their dietary intake.
  Contacts and Locations
Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01125202


Locations
United States, Pennsylvania
University of Pittsburgh School of Medicine
Pittsburgh, Pennsylvania, United States, 15213
Sponsors and Collaborators
University of Pittsburgh
University of Iowa
National Institute of Nursing Research (NINR)
  More Information

Responsible Party: Mary Ann Sevick, Professor, University of Pittsburgh
ClinicalTrials.gov Identifier: NCT01125202     History of Changes
Other Study ID Numbers: PRO08040361
R01NR010135 ( U.S. NIH Grant/Contract )
First Submitted: May 14, 2010
First Posted: May 18, 2010
Results First Submitted: June 14, 2017
Results First Posted: August 15, 2017
Last Update Posted: August 15, 2017
Last Verified: August 2017

Keywords provided by Mary Ann Sevick, University of Pittsburgh:
Intervention studies
Computers, handheld
Randomized controlled trial
Sodium, dietary