Design, feasibility, and acceptability of an intervention using personal digital assistant-based self-monitoring in managing type 2 diabetes

Validation of the Chinese version of the diabetes health profile to predict the impact of mobile health education on quality of life in type 2 diabetes patients

Purpose

The Diabetes Health Profile (DHP18), initially created in the United Kingdom, currently lacks a Chinese version. This study endeavors to authenticate the Chinese adaptation of the DHP18 and assess the influence of mobile health (mHealth) education intervention on the quality of life of individuals living with diabetes.

Patients and methods

The study included 470 Type 2 diabetes Mellitus (T2DM) patients (204 men, 266 women), spanning an age range of 19-79 years, with an average age of 54 ± 12.40 years. Data analysis employed Jamovie and Mplus software. Moreover, test-retest reliability was evaluated in 52 hospitalized T2DM patients through two repeated measurements taken 4 weeks apart.

Results

The Chinese version DHP18 scale exhibited high reliability, evidenced by a Cronbach's alpha of 0.88, and coefficient of test-retest reliability of 0.84. Individual subscales also demonstrated strong reliability, ranging from 0.76 to 0.84, with test-retest reliability spanning from 0.71 to 0.74. Confirmatory Factor Analysis (CFA) employing a three-factor structure (χ2 = 294.69, GFI = 0.92, TLI = 0.91, RMSEA = 0.05, SRMR = 0.06) validated the scale's construct validity. Notably, there was a statistically significant difference (p < 0.05) in the quality of life between Type 2 diabetes patients using mHealth education intervention and those without mHealth education intervention. Mediation analysis revealed that Appraisal of Diabetes (ADS) and Self-Management Efficacy (SED) mediated the effects of Psychological Distress (PD) and Behavior Adherence (BA) on quality of life, both significant direct and indirect effects (p < 0.001). In addition, Dietary Abstinence (DE) displayed significant overall impact (β = -0.13, p < 0.001) and indirect influence (β = -0.10, p < 0.01) on diabetic patients' quality of life, though lacking a significant direct effect (β = -0.03, p = 0.38).

Conclusion

The Chinese version of the Diabetes Health Profile Scale meets stringent psychometric standards and stands as an appropriate measurement tool for Chinese T2DM patients, maintaining comparable results to the original scale's structure. The mHealth education intervention yielded a notably positive impact on the quality of life among T2DM patients. Mediation analysis revealed that the three dimensions of the DHP were mediated by Appraisal of Diabetes and Diabetes Self-Management Efficacy, partially mediated by Psychological Distress and Behavior Adherence, and fully mediated by Dietary Abstinence, providing insight into the positive effects of the mHealth model on the quality of life of diabetic patients.

Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring

Remote monitoring of health can reduce frequent hospitalisations, diminishing the burden on the healthcare system and cost to the community. Patient monitoring helps identify symptoms associated with diseases or disease-driven disorders, which makes it an essential element of medical diagnoses, clinical interventions, and rehabilitation treatments for severe medical conditions. This monitoring can be expensive and time-consuming and provide an incomplete picture of the state of the patient. In the last decade, there has been a significant increase in the adoption of mobile and wearable devices, along with the introduction of smart textile solutions that offer the possibility of continuous monitoring. These alternatives fuel a technology shift in healthcare, one that involves the continuous tracking and monitoring of individuals. This scoping review examines how mobile, wearable, and textile sensing technology have been permeating healthcare by offering alternate solutions to challenging issues, such as personalised prescriptions or home-based secondary prevention. To do so, we have selected 222 healthcare literature articles published from 2007 to 2019 and reviewed them following the PRISMA process under the schema of a scoping review framework. Overall, our findings show a recent increase in research on mobile sensing technology to address patient monitoring, reflected by 128 articles published in journals and 19 articles in conference proceedings between 2014 and 2019, which represents 57.65% and 8.55% respectively of all included articles.

The Use of Behavior Change Theories in Dietetics Practice in Primary Health Care: A Systematic Review of Randomized Controlled Trials

BACKGROUND

Behavior change theories frameworks provide the theoretical underpinning for effective health care. The extent to which they are applied in contemporary dietetics interventions has not been explored.

OBJECTIVE

To systematically review the evidence of behavior change theory-based interventions delivered by credentialed nutrition and dietetics practitioners in primary health care settings.

METHODS

Medline, the Cumulative Index to Nursing and Allied Health Literature, PsycINFO, Embase, and Cochrane databases were searched for English language, randomized controlled trials before August 2019. Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines were followed. Eligible interventions included adults (aged ≥18 years) receiving face-to-face dietetics care underpinned by behavior change theories in primary health care settings with outcome measures targeting changes in health behaviors or health outcomes. Screening was conducted independently in duplicate and data were extracted using predefined categories. The quality of each study was assessed using the Cochrane Risk of Bias tool. The body of evidence was assessed using the Academy of Nutrition and Dietetics Evidence Analysis Manual Conclusion Grading Table.

RESULTS

Thirty articles reporting on 19 randomized controlled trials met the eligibility criteria, representing 5,172 adults. Thirteen studies (68%) showed significant improvements for the primary outcome measured. Social cognitive theory was the behavior change theory most commonly applied in interventions (n=15) with 11 finding significant intervention effects. Goal setting, problem solving, social support, and self-monitoring were the most commonly reported techniques (n=15, n=14, n=11, and n=11, respectively). Most studies had a high (n=11) or unclear (n=8) risk of bias. There was fair evidence (Grade II) supporting the use of behavior change theories to inform development of dietetics interventions.

CONCLUSIONS

Interventions delivered by credentialed nutrition and dietetics practitioners that were underpinned by behavior change theories and utilizing various behavior change techniques were found to have potential to be more effective at improving patient health outcomes than dietary interventions without theoretical underpinnings. Findings from this review should inform future primary health care research in the area of dietary behavior change. In addition, findings from this review highlight the need for stronger documentation of use of behavior change theory and techniques that map on to the theory within dietetics practice.

Determinants and the Role of Self-Efficacy in a Sodium-Reduction Trial in Hemodialysis Patients

OBJECTIVE

This study was to assess the impact of baseline dietary self-efficacy on the effect of a dietary intervention to reduce sodium intake in patients undergoing hemodialysis (HD) and to identify determinants of low dietary self-efficacy.

METHODS

This is a post hoc analysis of the BalanceWise study, a randomized controlled trial that aimed to reduce dietary sodium intake in HD patients recruited from 17 dialysis centers in Pennsylvania. The main outcome measures include dietary self-efficacy and reported dietary sodium density. Analysis of variance with post hoc group-wise comparison was used to examine the effect of baseline dietary self-efficacy on changes in reported sodium density in the intervention and control groups at 8 and 16 weeks. Chi-square test, independent t tests, or Wilcoxon rank-sum tests were used to identify determinants of low dietary self-efficacy.

RESULTS

The interaction between dietary self-efficacy and the impact of the intervention on changes in reported dietary sodium density approached significance at 8 and 16 weeks (P interaction = 0.051 and 0.06, respectively). Younger age and perceived income inadequacy were significantly associated with low self-efficacy in patients undergoing HD.

CONCLUSION

The benefits of dietary interventions designed to improve self-efficacy may differ by the baseline self-efficacy status. This may be particularly important for HD patients who are younger and report inadequate income as they had lower dietary self-efficacy.

A framework for examining the function of digital health technologies for weight management

Research is rapidly extending its focus to develop and evaluate weight management interventions that incorporate eHealth technologies. Comparative effectiveness of eHealth interventions is partly limited by the extensive heterogeneity in intervention design, variation in use of eHealth tools, and expanding development of novel tools to promote weight management. We closely examined, characterized, and categorized the use and function of eHealth tools across a wide range of eHealth interventions for weight management in order to first create a novel schematic framework for eHealth interventions and, second, to evaluate eHealth interventions using this framework. We examined 49 randomized controlled trials from two systematic reviews evaluating the effectiveness of eHealth interventions for weight loss. Further characterization of each intervention identified common use and function of eHealth tools represented within interventions and thus important to include in the proposed framework. This resulted in six descriptive domains. We then categorized each eHealth intervention within the context of the newly developed framework. Last, we examined efficacious interventions in the context of the framework. Twenty-five randomized controlled trials reported significantly more weight loss between the intervention group utilizing eHealth, compared to a non-eHealth control intervention and/or within an eHealth intervention group. Of these 25 interventions, 15 (60%) used automated feedback (Domain 1), 13 (52%) used non-eHealth tailored feedback by a health care provider (Domain 5), and 8 (32%) used tailored feedback from a health care professional through an electronic channel (Domain 2). The proposed schematic framework offers an alternative and novel approach for comparing across interventions and informing the development and evaluation of eHealth interventions.

A Behavioral Lifestyle Intervention Enhanced With Multiple-Behavior Self-Monitoring Using Mobile and Connected Tools for Underserved Individuals With Type 2 Diabetes and Comorbid Overweight or Obesity: Pilot Comparative Effectiveness Trial

Background

Self-monitoring is a cornerstone of behavioral lifestyle interventions for obesity and type 2 diabetes mellitus. Mobile technology has the potential to improve adherence to self-monitoring and patient outcomes. However, no study has tested the use of a smartphone to facilitate self-monitoring in overweight or obese adults with type 2 diabetes mellitus living in the underserved community.

Objective

The aim of this study was to examine the feasibility of and compare preliminary efficacy of a behavioral lifestyle intervention using smartphone- or paper-based self-monitoring of multiple behaviors on weight loss and glycemic control in a sample of overweight or obese adults with type 2 diabetes mellitus living in underserved communities.

Methods

We conducted a randomized controlled trial to examine the feasibility and preliminary efficacy of a behavioral lifestyle intervention. Overweight or obese patients with type 2 diabetes mellitus were recruited from an underserved minority community health center in Houston, Texas. They were randomly assigned to one of the three groups: (1) behavior intervention with smartphone-based self-monitoring, (2) behavior intervention with paper diary-based self-monitoring, and (3) usual care group. Both the mobile and paper groups received a total of 11 face-to-face group sessions in a 6-month intervention. The mobile group received an Android-based smartphone with 2 apps loaded to help them record their diet, physical activity, weight, and blood glucose, along with a connected glucometer, whereas the paper group used paper diaries for these recordings. Primary outcomes of the study included percentage weight loss and glycated hemoglobin (HbA_1c) changes over 6 months.

Results

A total of 26 patients were enrolled: 11 in the mobile group, 9 in the paper group, and 6 in the control group. We had 92% (24/26) retention rate at 6 months. The sample is predominantly African Americans with an average age of 56.4 years and body mass index of 38.1. Participants lost an average of 2.73% (mobile group) and 0.13% (paper group) weight at 6 months, whereas the control group had an average 0.49% weight gain. Their HbA_1c changed from 8% to 7 % in mobile group, 10% to 9% in paper group, and maintained at 9% for the control group. We found a significant difference on HbA_1c at 6 months among the 3 groups (P=.01). We did not find statistical group significance on percentage weight loss (P=.20) and HbA_1c changes (P=.44) overtime; however, we found a large effect size of 0.40 for weight loss and a medium effect size of 0.28 for glycemic control.

Conclusions

Delivering a simplified behavioral lifestyle intervention using mobile health–based self-monitoring in an underserved community is feasible and acceptable and shows higher preliminary efficacy, as compared with paper-based self-monitoring. A full-scale randomized controlled trial is needed to confirm the findings in this pilot study.

Trial Registration

ClinicalTrials.gov NCT02858648; https://clinicaltrials.gov/ct2/show/NCT02858648 (Archived by WebCite at http://www.webcitation.org/6ySidjmT7)

Connecting Smartphone and Wearable Fitness Tracker Data with a Nationally Used Electronic Health Record System for Diabetes Education to Facilitate Behavioral Goal Monitoring in Diabetes Care: Protocol for a Pragmatic Multi-Site Randomized Trial

Background

Mobile and wearable technology have been shown to be effective in improving diabetes self-management; however, integrating data from these technologies into clinical diabetes care to facilitate behavioral goal monitoring has not been explored.

Objective

The objective of this paper is to report on a study protocol for a pragmatic multi-site trial along with the intervention components, including the detailed connected health interface. This interface was developed to integrate patient self-monitoring data collected from a wearable fitness tracker and its companion smartphone app to an electronic health record system for diabetes self-management education and support (DSMES) to facilitate behavioral goal monitoring.

Methods

A 3-month multi-site pragmatic clinical trial was conducted with eligible patients with diabetes mellitus from DSMES programs. The Chronicle Diabetes system is currently freely available to diabetes educators through American Diabetes Association–recognized DSMES programs to set patient nutrition and physical activity goals. To integrate the goal-setting and self-monitoring intervention into the DSMES process, a connected interface in the Chronicle Diabetes system was developed. With the connected interface, patient self-monitoring information collected from smartphones and wearable fitness trackers can facilitate educators’ monitoring of patients’ adherence to their goals. Feasibility outcomes of the 3-month trial included hemoglobin A_1c levels, weight, and the usability of the connected system.

Results

An interface designed to connect data from a wearable fitness tracker with a companion smartphone app for nutrition and physical activity self-monitoring into a diabetes education electronic health record system was successfully developed to enable diabetes educators to facilitate goal setting and monitoring. A total of 60 eligible patients with type 2 diabetes mellitus were randomized into either group 1) standard diabetes education or 2) standard education enhanced with the connected system. Data collection for the 3-month pragmatic trial is completed. Data analysis is in progress.

Conclusions

If results of the pragmatic multi-site clinical trial show preliminary efficacy and usability of the connected system, a large-scale implementation trial will be conducted.

Trial Registration

ClinicalTrials.gov NCT02664233; https://clinicaltrials.gov/ct2/show/NCT02664233 (Archived by WebCite at http://www.webcitation.org/6yDEwXHo5)

Pilot Study for the Development of a Self-Care System for Type 2 Diabetes Patients Using a Personal Digital Assistant (PDA)

PURPOSE

The primary objective of the present pilot study was to investigate the feasibility and acceptability of the newly developed self-care system using personal digital assistance in patients with type 2 diabetes. The secondary objective was to investigate changes in daily calorie intake, body weight, and hemoglobin A1c after using the system for 6 months.

METHOD

The participants were nine outpatients with type 2 diabetes, aged 34-72 and living in Tokyo or surrounding prefectures. They were instructed to use the electronic food diary and to review the graphs of the total energy intake to control food intake under their own target value for 6 months. After they completed the study, the feasibility indicated by adherence rate for food recording and acceptability of the system rated with 6-point Likert scale from 1 (worst) to 6 (best) by the participants were investigated.

RESULTS

Seven participants out of nine completed the study protocol. The median adherence rate for food recording was 80.6 %. Regarding the acceptability, six patients rated 6 for desire to use the system while one rated 5. In addition, regarding improvement in self-care for diabetes, the median score was 5. Daily calorie intake, body weight, and HbA1c, however, did not change significantly over the 6-month period.

CONCLUSION

The newly developed self-care system might be feasible and acceptable in diabetes patients, which could be applied as an ecological momentary intervention tool, although there was some room to refine it to raise adherence.

A Systematic and Integrated Review of Mobile-Based Technology to Promote Active Lifestyles in People With Type 2 Diabetes

AIM

The aim was to review studies examining the effectiveness, acceptability, and feasibility of mobile-based technology for promoting active lifestyles in people with type 2 diabetes (T2D).

BACKGROUND

Benefits of leading an active lifestyle following a diagnosis of T2D, including improved glycemic control, have been reported. Studies examining the specific use of mobile-based technologies to promote an active lifestyle in T2D have not previously been reviewed.

METHODS

Research studies examining effectiveness, feasibility or acceptability of mobile-based technology for active lifestyle promotion for T2D management were included (n = 9). The databases searched included PubMed, Medline, ScienceDirect, and ACM Digital Library (January 2005 to October 2015). Studies were categorized as (1) informing, (2) monitoring, (3) provoking, or (4) sustaining behavior change.

RESULTS

Technologies used included smartphone or tablet apps, diabetes personal digital assistant, continuous glucose monitor and accelerometer, pedometer, and a website delivered by a smartphone. No articles examined the effectiveness of mobile-based technology in monitoring health behaviors and behavior change. Four of the studies found mobile-based technology to be motivational and supportive for behavior change. The visual reinforcement was identified as motivational. The feasibility and acceptability of using mobile-based technology to provide sustained lifestyle change and the effectiveness of mobile-based technology in monitoring health behaviors and behavior change have not been investigated. No studies examined all 3 of the outcomes or focused decreasing the participants' sedentary behavior.

CONCLUSIONS

Limited research has examined the feasibility, acceptability, and effectiveness of mobile-based technology to promote active lifestyles and subsequently good diabetes management in people with T2D.

An Analysis of the Recruitment and Participation of African American Men in Type 2 Diabetes Self-Management Research: A Review of the Published Literature

Research studies have shown that African American men have experienced higher rates of serious complications of type 2 diabetes, due in part to poor disease management. Although type 2 diabetes research among minority populations is consistently advancing, there still remains a scarcity of African American male representation within these studies. It is unclear if this scarcity stems from lack of interest among men, location of recruitment, or ways in which these men are motivated to participate in research studies. As a result, an analysis of recruitment methods and locations of literature that includes African American men with type 2 diabetes is needed. The purpose of this review of the literature is threefold: (a) determine the number of published empirical studies specific to type 2 diabetes self-management that included African Americans in the sample, (b) to evaluate the percentage of men that were represented in the study sample as compared to how many women, and

The Electronic CardioMetabolic Program (eCMP) for Patients With Cardiometabolic Risk: A Randomized Controlled Trial

Background

Effective lifestyle interventions targeting high-risk adults that are both practical for use in ambulatory care settings and scalable at a population management level are needed.

Objective

Our aim was to examine the potential effectiveness, feasibility, and acceptability of delivering an evidence-based Electronic Cardio-Metabolic Program (eCMP) for improving health-related quality of life, improving health behaviors, and reducing cardiometabolic risk factors in ambulatory care high-risk adults.

Methods

We conducted a randomized, wait-list controlled trial with 74 adults aged ≥18 years recruited from a large multispecialty health care organization. Inclusion criteria were (1) BMI ≥35 kg/m² and prediabetes, previous gestational diabetes and/or metabolic syndrome, or (2) BMI ≥30 kg/m² and type 2 diabetes and/or cardiovascular disease. Participants had a mean age of 59.7 years (SD 11.2), BMI 37.1 kg/m² (SD 5.4) and were 59.5% female, 82.4% white. Participants were randomized to participate in eCMP immediately (n=37) or 3 months later (n=37). eCMP is a 6-month program utilizing video conferencing, online tools, and pre-recorded didactic videos to deliver evidence-based curricula. Blinded outcome assessments were conducted at 3 and 6 months postbaseline. Data were collected and analyzed between 2014 and 2015. The primary outcome was health-related quality of life. Secondary outcomes included biometric cardiometabolic risk factors (eg, body weight), self-reported diet and physical activity, mental health status, retention, session attendance, and participant satisfaction.

Results

Change in quality of life was not significant in both immediate and delayed participants. Both groups significantly lost weight and reduced waist circumference at 6 months, with some cardiometabolic factors trending accordingly. Significant reduction in self-reported anxiety and perceived stress was seen in the immediate intervention group at 6 months. Retention rate was 93% at 3 months and 86% at 6 months post-baseline. Overall eCMP attendance was high with 59.5-83.8% of immediate and delayed intervention participants attending 50% of the virtual stress management and behavioral lifestyle sessions and 37.8-62.2% attending at least 4 out of 7 in-person physical activity sessions. The intervention received high ratings for satisfaction.

Conclusions

The technology-assisted eCMP is a feasible and well-accepted intervention and may significantly decrease cardiometabolic risk among high-risk individuals.

Trial Registration

Clinicaltrials.gov NCT02246400; https://clinicaltrials.gov/ct2/show/NCT02246400 (Archived by WebCite at http://www.webcitation.org/6h6mWWokP)

Evaluation of a culturally-adapted lifestyle intervention to treat elevated cardiometabolic risk of Latino adults in primary care (Vida Sana): A randomized controlled trial

Latinos bear a disproportionate burden of the dual pandemic of obesity and diabetes. However, successful interventions addressing this disparity through primary care are lacking. To address this gap, the 5-year Vida Sana (Healthy Life) study tests a culturally adapted and technology-enhanced group-based Diabetes Prevention Program intervention in a randomized controlled trial with overweight/obese Latino adults who have metabolic syndrome and/or pre-diabetes. Eligible, consenting patients (n=186) from a large community-based multispecialty group practice in Northern California will be randomly assigned to receive the culturally-adapted intervention or usual care. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework guided the planned evaluations. The primary aim is to determine the effectiveness of the intervention (the "E" in RE-AIM). We hypothesize that the intervention will lead to a greater mean reduction in weight at 24months (primary endpoint) vs. usual care. Secondary outcomes will include measures of cardiometabolic risk factors (e.g., blood pressure), psychosocial well-being (e.g., health-related quality of life), and behavior change (e.g., physical activity). The secondary aim is to evaluate the other RE-AIM dimensions using mixed methods: reach (e.g., participation rate of the target population), adoption (e.g., participating clinic and provider characteristics), implementation (e.g., intervention fidelity), and maintenance (e.g., sustainability in the practice setting). These findings have real word applicability with value to clinicians, patients, and other decision makers considering effective diabetes prevention programs for primary care that would support the millions of Latino adults who experience a disproportionate burden of diabetes.

TRIAL REGISTRATION

NCT02459691.

No Difference in Average Interdialytic Weight Gain Observed in a Randomized Trial With a Technology-Supported Behavioral Intervention to Reduce Dietary Sodium Intake in Adults Undergoing Maintenance Hemodialysis in the United States: Primary Outcomes of the BalanceWise Study

OBJECTIVE

To evaluate the efficacy of behavioral counseling combined with technology-based self-monitoring for sodium restriction in hemodialysis (HD) patients.

DESIGN

Randomized clinical trial.

SUBJECTS

English literate adults undergoing outpatient, in-center intermittent HD for at least 3 months.

INTERVENTIONS

Over a 16-week period, both the intervention and the attention control groups were shown 6 educational modules on the HD diet. The intervention group also received social cognitive theory-based behavioral counseling and monitored their diets daily using handheld computers.

MAIN OUTCOME MEASURES

Average daily interdialytic weight gain (IDWGA) was calculated for every week of HD treatment over the observation period by subtracting the post-dialysis weight at the previous treatment time (t-1) from the pre-dialysis weight at the current treatment time (t), dividing by the number of days between treatments. Three 24-hour dietary recalls were obtained at baseline, 8 weeks, and 16 weeks and evaluated using the Nutrient Data System for Research.

RESULTS

A total of 179 participants were randomized, and 160 (89.4%) completed final measurements. IDWGA did not differ significantly by treatment group at any time point considered (P > .79 for each). A significant differential change in dietary sodium intake observed at 8 weeks (-372 mg/day; P = .05) was not sustained at 16 weeks (-191 mg/day; P = .32).

CONCLUSION

The BalanceWise Study intervention appeared to be feasible and acceptable to HD patients although IDWGA was unchanged and the desired behavioral changes observed at 8 weeks were not sustained. Unmeasured factors may have contributed to the mixed findings, and further research is needed to identify the appropriate patients for such interventions.

Acceptability and feasibility of smartphone-assisted 24 h recalls in the Chinese population

OBJECTIVE

To examine the acceptability and feasibility of using smartphone technology to assess beverage intake and evaluate whether the feasibility of smartphone use is greater among key sub-populations.

DESIGN

An acceptability and feasibility study of recording the video dietary record, the acceptability of the ecological momentary assessment (EMA), wearing smartphones and whether the videos helped participants recall intake after a cross-over validation study.

SETTING

Rural and urban area in Shanghai, China.

SUBJECTS

Healthy adults (n 110) aged 20-40 years old.

RESULTS

Most participants reported that the phone was acceptable in most aspects, including that videos were easy to use (70%), helped with recalls (77%), EMA reminders helped them record intake (75%) and apps were easy to understand (85%). However, 49% of the participants reported that they had trouble remembering to take videos of the beverages before consumption or 46% felt embarrassed taking videos in front of others. Moreover, 72% reported that the EMA reminders affected their consumption. When assessing overall acceptability of using smartphones, 72% of the participants were favourable responders. There were no statistically significant differences in overall acceptability for overweight v. normal-weight participants or for rural v. urban residents. However, we did find that the overall acceptability was higher for males (81%) than females (61%, P=0·017).

CONCLUSIONS

Our study did not find smartphone technology helped with dietary assessments in a Chinese population. However, simpler approaches, such as using photographs instead of videos, may be more feasible for enhancing 24 h dietary recalls.

Dietary Sodium Intake in Type 2 Diabetes

Patients with type 2 diabetes have an increased risk for cardiovascular and chronic kidney disease. Superimposed hypertension further increases the risk and is associated with increased dietary sodium intake. There are few data available on dietary sodium intake in type 2 diabetes. The aim of this study was to quantify dietary sodium intake in a cohort of self-referred patients with type 2 diabetes and to identify sociodemographic characteristics associated with it. Sodium intake in this cohort was far greater than current recommendations. Increased awareness of sodium intake in this population might lead to target interventions to reduce sodium intake and potentially improve long-term outcomes.

[Evaluation of the usability of a mobile Digital Food Guide based on user perception]

The use of digital technology in the form of health care apps has been on the increase. In the nutrition area, apps are now available with a view to lead to behavior change, helping individuals to reflect on their food choices and identify weak points in their dietary routine. The article seeks to evaluate user perception regarding the usability of the Digital Food Guide (DFG), which is a mobile smartphone app with guidelines on healthy eating. A cross-sectional study evaluated the user perception of the app using the Likert scale, built with 24 assertions organized in three dimensions of analysis: the DFG as an intuitive and self-explanatory tool; the DFG as a promoter of healthy food choices; and the DFG as a promoter of the transition to the appropriate weight. The instrument was assessed regarding its reliability through the split-half and validity method in two stages. The 22 assertions were validated; the reliability was 0.93; the average of the assertions in each dimension was 3.10; of the 80 respondents, 58.75% considered the implementation of the DFG to be positive. The application has good usability as perceived by users, considering analysis of the dimensions relating to its performance.

Mobile technologies and geographic information systems to improve health care systems: a literature review

Background

A growing body of research has employed mobile technologies and geographic information systems (GIS) for enhancing health care and health information systems, but there is yet a lack of studies of how these two types of systems are integrated together into the information infrastructure of an organization so as to provide a basis for data analysis and decision support. Integration of data and technical systems across the organization is necessary for efficient large-scale implementation.

Objective

The aim of this paper is to identify how mobile technologies and GIS applications have been used, independently as well as in combination, for improving health care.

Methods

The electronic databases PubMed, BioMed Central, Wiley Online Library, Scopus, Science Direct, and Web of Science were searched to retrieve English language articles published in international academic journals after 2005. Only articles addressing the use of mobile or GIS technologies and that met a prespecified keyword strategy were selected for review.

Results

A total of 271 articles were selected, among which 220 concerned mobile technologies and 51 GIS. Most articles concern developed countries (198/271, 73.1%), and in particular the United States (81/271, 29.9%), United Kingdom (31/271, 11.4%), and Canada (14/271, 5.2%). Applications of mobile technologies can be categorized by six themes: treatment and disease management, data collection and disease surveillance, health support systems, health promotion and disease prevention, communication between patients and health care providers or among providers, and medical education. GIS applications can be categorized by four themes: disease surveillance, health support systems, health promotion and disease prevention, and communication to or between health care providers. Mobile applications typically focus on using text messaging (short message service, SMS) for communication between patients and health care providers, most prominently reminders and advice to patients. These applications generally have modest benefits and may be appropriate for implementation. Integration of health data using GIS technology also exhibit modest benefits such as improved understanding of the interplay of psychological, social, environmental, area-level, and sociodemographic influences on physical activity. The studies evaluated showed promising results in helping patients treating different illnesses and managing their condition effectively. However, most studies use small sample sizes and short intervention periods, which means limited clinical or statistical significance.

Conclusions

A vast majority of the papers report positive results, including retention rate, benefits for patients, and economic gains for the health care provider. However, implementation issues are little discussed, which means the reasons for the scarcity of large-scale implementations, which might be expected given the overwhelmingly positive results, are yet unclear. There is also little combination between GIS and mobile technologies. In order for health care processes to be effective they must integrate different kinds of existing technologies and data. Further research and development is necessary to provide integration and better understand implementation issues.

Interventions to enhance adherence to dietary advice for preventing and managing chronic diseases in adults

BACKGROUND

It has been recognized that poor adherence can be a serious risk to the health and wellbeing of patients, and greater adherence to dietary advice is a critical component in preventing and managing chronic diseases.

OBJECTIVES

To assess the effects of interventions for enhancing adherence to dietary advice for preventing and managing chronic diseases in adults.

SEARCH METHODS

We searched the following electronic databases up to 29 September 2010: The Cochrane Library (issue 9 2010), PubMed, EMBASE (Embase.com), CINAHL (Ebsco) and PsycINFO (PsycNET) with no language restrictions. We also reviewed: a) recent years of relevant conferences, symposium and colloquium proceedings and abstracts; b) web-based registries of clinical trials; and c) the bibliographies of included studies.

SELECTION CRITERIA

We included randomized controlled trials that evaluated interventions enhancing adherence to dietary advice for preventing and managing chronic diseases in adults. Studies were eligible if the primary outcome was the client's adherence to dietary advice. We defined 'client' as an adult participating in a chronic disease prevention or chronic disease management study involving dietary advice.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed the eligibility of the studies. They also assessed the risk of bias and extracted data using a modified version of the Cochrane Consumers and Communication Review Group data extraction template. Any discrepancies in judgement were resolved by discussion and consensus, or with a third review author. Because the studies differed widely with respect to interventions, measures of diet adherence, dietary advice, nature of the chronic diseases and duration of interventions and follow-up, we conducted a qualitative analysis. We classified included studies according to the function of the intervention and present results in a narrative table using vote counting for each category of intervention.

MAIN RESULTS

We included 38 studies involving 9445 participants. Among studies that measured diet adherence outcomes between an intervention group and a control/usual care group, 32 out of 123 diet adherence outcomes favoured the intervention group, 4 favoured the control group whereas 62 had no significant difference between groups (assessment was impossible for 25 diet adherence outcomes since data and/or statistical analyses needed for comparison between groups were not provided). Interventions shown to improve at least one diet adherence outcome are: telephone follow-up, video, contract, feedback, nutritional tools and more complex interventions including multiple interventions. However, these interventions also shown no difference in some diet adherence outcomes compared to a control/usual care group making inconclusive results about the most effective intervention to enhance dietary advice. The majority of studies reporting a diet adherence outcome favouring the intervention group compared to the control/usual care group in the short-term also reported no significant effect at later time points. Studies investigating interventions such as a group session, individual session, reminders, restriction and behaviour change techniques reported no diet adherence outcome showing a statistically significant difference favouring the intervention group. Finally, studies were generally of short duration and low quality, and adherence measures varied widely.

AUTHORS' CONCLUSIONS

There is a need for further, long-term, good-quality studies using more standardized and validated measures of adherence to identify the interventions that should be used in practice to enhance adherence to dietary advice in the context of a variety of chronic diseases.

Factors affecting acceptability and usability of technological approaches to diabetes self-management: a case study

PURPOSE

This study explored the impact of personal digital assistant (PDA) features, users' perceptions, and other factors that may have hindered PDA acceptability and usability as technology advances in e-health diabetes self-management.

STUDY DESIGN AND RESULTS

An ongoing study on PDA usage is set within the context of the advancements of Web 2.0 for type 2 diabetes mellitus (T2DM) self-management e-interventions. Advancements in technology as it relates to the future of T2DM mobile applications are discussed as possible deterrents of PDA acceptability and usability.

CONCLUSIONS

This case study illustrates the importance of addressing factors that may impede the adoption of electronic devices intended for sustained health behavior change. Recognizing the importance of individual perception within the context of rapid technological advancements is imperative for designing future health interventions. Incorporating electronic devices that individuals are more inclined to utilize, such as smartphones, as the platform for health interventions is a promising strategy to improve acceptability and usability, allowing researchers to more accurately assess the health benefits of self-management programs.

Biophysiologic outcomes of the Enhancing Adherence in Type 2 Diabetes (ENHANCE) trial

BACKGROUND

Behavioral research to improve lifestyle in broadly defined populations of patients with type 2 diabetes is limited.

OBJECTIVE

We evaluated a behavioral intervention featuring technology-based self-monitoring on biophysiologic outcomes of glycemic control and markers of cardiovascular risk.

DESIGN

In this single-site, randomized clinical trial, participants were stratified by good and poor glycemic control (glycated hemoglobin <8% or ≥8%) and absence or presence of kidney disease, (estimated glomerular filtration rate ≥60 or <60 mL/min) and randomized within strata. Measurements were obtained at 0, 3, and 6 months.

PARTICIPANTS/SETTING

Self-referred, community-dwelling adults with type 2 diabetes mellitus.

INTERVENTION

The intervention group received Social Cognitive Theory-based counseling paired with technology-based self-monitoring, and results were compared with an attention control group.

MAIN OUTCOME MEASURES

Glycated hemoglobin, fasting serum glucose, lipid levels, blood pressure, weight, body mass index, and waist circumference were evaluated.

STATISTICAL ANALYSES PERFORMED

Mean differences within and between randomization groups were compared over time. Intervention effects over time were estimated using random intercept models.

RESULTS

Two hundred ninety-six subjects were randomized, 256 (86.5%) completed 3-month and 246 (83.1%) completed 6-month assessments. Glycated hemoglobin was reduced in the intervention group by 0.5% at 3 months and 0.6% at 6 months (P<0.001 for each), and the control group by 0.3% (P<0.001) at 3 months and 0.2% (P<0.05) at 6 months; but between-group differences were not significant. In those with baseline glycated hemoglobin ≥8% and estimated glomerular filtration rate ≥60 mL/min, glycated hemoglobin was reduced in the intervention group by 1.5% at 3 months and 1.8% at 6 months (P<0.001 for each), and the control group by 0.9% (P<0.001) at 3 months and 0.8% (P<0.05) at 6 months; but between-group differences were not significant. In random intercept models, the estimated reduction in glycated hemoglobin of 0.29% was not significant.

CONCLUSIONS

Two behavioral approaches to improving general lifestyle management in individuals with type 2 diabetes mellitus were effective in improving glycemic control, but no significant between-group differences were observed.

Computer-assisted versus oral-and-written dietary history taking for diabetes mellitus

BACKGROUND

Diabetes is a chronic illness characterised by insulin resistance or deficiency, resulting in elevated glycosylated haemoglobin A1c (HbA1c) levels. Diet and adherence to dietary advice is associated with lower HbA1c levels and control of disease. Dietary history may be an effective clinical tool for diabetes management and has traditionally been taken by oral-and-written methods, although it can also be collected using computer-assisted history taking systems (CAHTS). Although CAHTS were first described in the 1960s, there remains uncertainty about the impact of these methods on dietary history collection, clinical care and patient outcomes such as quality of life. 

OBJECTIVES

To assess the effects of computer-assisted versus oral-and-written dietary history taking on patient outcomes for diabetes mellitus.

SEARCH METHODS

We searched The Cochrane Library (issue 6, 2011), MEDLINE (January 1985 to June 2011), EMBASE (January 1980 to June 2011) and CINAHL (January 1981 to June 2011). Reference lists of obtained articles were also pursued further and no limits were imposed on languages and publication status.

SELECTION CRITERIA

Randomised controlled trials of computer-assisted versus oral-and-written history taking in patients with diabetes mellitus.

DATA COLLECTION AND ANALYSIS

Two authors independently scanned the title and abstract of retrieved articles. Potentially relevant articles were investigated as full text. Studies that met the inclusion criteria were abstracted for relevant population and intervention characteristics with any disagreements resolved by discussion, or by a third party. Risk of bias was similarly assessed independently.

MAIN RESULTS

Of the 2991 studies retrieved, only one study with 38 study participants compared the two methods of history taking over a total of eight weeks. The authors found that as patients became increasingly familiar with using CAHTS, the correlation between patients' food records and computer assessments improved. Reported fat intake decreased in the control group and increased when queried by the computer. The effect of the intervention on the management of diabetes mellitus and blood glucose levels was not reported. Risk of bias was considered moderate for this study.

AUTHORS' CONCLUSIONS

Based on one small study judged to be of moderate risk of bias, we tentatively conclude that CAHTS may be well received by study participants and potentially offer time saving in practice. However, more robust studies with larger sample sizes are needed to confirm these. We cannot draw on any conclusions in relation to any other clinical outcomes at this stage.

Personal digital assistant-based self-monitoring adherence rates in 2 dialysis dietary intervention pilot studies: BalanceWise-HD and BalanceWise-PD

OBJECTIVE

The dialysis dietary regimen is complicated, and computer-based dietary self-monitoring may be useful for helping dialysis patients manage their dietary regimen. In this report, we describe dietary self-monitoring rates among study participants randomized to the intervention arms of 2 pilot studies.

METHODS

Both studies tested similar interventions involving dietary counseling paired with personal digital assistant-based self-monitoring. One study was performed in hemodialysis (HD) and one in peritoneal dialysis (PD) patients.

RESULTS

HD intervention participants entered an average of 244.9 meals (median = 288; interquartile range [IQR]: 186 to 342) over the 16-week intervention, 2.2 meals per day (median = 2.6; IQR: 1.7 to 3.1), and 73% of expected meals (median = 86; IQR: 55 to 102), assuming intake of 3 meals per day. At least some meals were entered in 87% of the observed weeks (median = 100%; IQR: 81 to 100). PD intervention participants entered an average of 212.1 meals (median = 203; IQR: 110 to 312) over the 16-week intervention, 1.9 meals per day (median = 1.8; IQR: 1 to 2.8), and 63% of expected meals (median = 60; IQR: 33 to 93), assuming 3 meals per day. At least some meals were entered in 80% of the observed weeks (median = 94; IQR: 50 to 100).

CONCLUSION

These HD and PD patients demonstrated excellent rates of self-monitoring. Additional research with a larger sample is required to confirm these findings.

Racial differences in diabetes-related psychosocial factors and glycemic control in patients with type 2 diabetes

BACKGROUND

We examined whether diabetes-related psychosocial factors differ between African American and white patients with type 2 diabetes. We also tested whether racial differences in glycemic control are independent of such factors.

METHODS

Baseline glycosylated hemoglobin (HbA(1c)) and survey measures from 79 African American and 203 white adult participants in a diabetes self-management clinical trial were analyzed.

RESULTS

Several psychosocial characteristics varied by race. Perceived interference of diabetes with daily life, perceived diabetes severity, and diabetes-related emotional distress were higher for African Americans than for whites, as were access to illness-management resources and social support. Mean HbA(1c) levels were higher among African Americans than whites (8.14 vs 7.40, beta = 0.17). This difference persisted after adjusting for demographic, clinical, and diabetes-related psychosocial characteristics that differed by race (beta = 0.18). Less access to illness-management resources (beta = -0.25) and greater perceived severity of diabetes (beta = 0.21) also predicted higher HbA(1c).

DISCUSSION

Although racial differences in diabetes-related psychosocial factors were observed, African Americans continued to have poorer glycemic control than whites even after such differences were taken into account. Interventions that target psychosocial factors related to diabetes management, particularly illness-management resources, may be a promising way to improve glycemic control for all patients.

Evolution of data management tools for managing self-monitoring of blood glucose results: a survey of iPhone applications

BACKGROUND

Studies have indicated that sharing of self-monitoring of blood glucose (SMBG) data and subsequent feedback from the health care provider (HCP) can help achieve glycemic goals such as a reduction in glycated hemoglobin. Electronic SMBG data management and sharing tools for the PC and smartphones may help in reducing the effort to manage SMBG data.

METHODS

We reviewed software and top-ranking applications (Apps) for the iPhone platform to document the variety of useful features. Additionally, in an attempt to assess metrics such as task analysis and user friendliness of diabetes Apps, we observed and surveyed patients with diabetes as they recorded and relayed sample SMBG results to their hypothetical HCP using three Apps.

RESULTS

Observation and survey demonstrated that the WaveSense Diabetes Manager allowed the participants to complete preselected SMBG data entry and relay tasks faster than other Apps. The survey revealed patient behavior patterns that would be useful in future App development.

CONCLUSION

Being able to record, analyze, seamlessly share, and obtain feedback on the SMBG data using an iPhone/iTouch App might potentially benefit patients. Trends in SMBG data management and the possibility of having interoperability of blood glucose monitors and smartphones may open up new avenues of diabetes management for the technologically savvy patient.

Audiovisual Presentations on a Handheld PC are Preferred As an Educational Tool by NICU Parents

BACKGROUND

Health literacy is critical for understanding complex medical problems and necessary for the well being of the patient. Printed educational materials (PM) have limitations in explaining the dynamics of a disease process. Multimedia formats may be useful for enhancing the educational process.

OBJECTIVE

To evaluate whether a printed format or animation with commentary on a handheld personal computer (PC) is preferred as an educational tool by parents of a baby in the NICU.

METHODS

PARENTS EVALUATED TWO FORMATS: A 1-page illustrated document from the American Heart Association explaining patent ductus arteriosus (PDA) and animation with commentary on a handheld PC that explained the physiology of PDA in 1 minute. The reading grade level of the PM was 8.6 versus 18.6 for the audio portion of the animated presentation. Parents viewed each format and completed a four-item questionnaire. Parents rated both formats and indicated their preference as printed, animation, or both.

RESULTS

Forty-six parents participated in the survey. Parents preferred animation over PM (50% vs. 17.4%. p = 0.02); 39.1% expressed that the animation was excellent; whereas 4.3% expressed that the PM was excellent (p<0.001). The order of presentation of formats, sex, age, and educational level of parents did not influence the method preferred (p>0.05).

CONCLUSION

Parents preferred animation on a small screen handheld PC despite a much higher language level. Because handheld PCs are portable and inexpensive, they can be used effectively at the bedside with low-cost animation to enhance understanding of complex disease conditions.

Asynchronous and synchronous teleconsultation for diabetes care: a systematic literature review

AIM

A systematic literature review, covering publications from 1994 to 2009, was carried out to determine the effects of teleconsultation regarding clinical, behavioral, and care coordination outcomes of diabetes care compared to usual care. Two types of teleconsultation were distinguished: (1) asynchronous teleconsultation for monitoring and delivering feedback via email and cell phone, automated messaging systems, or other equipment without face-to-face contact; and (2) synchronous teleconsultation that involves real-time, face-to-face contact (image and voice) via videoconferencing equipment (television, digital camera, webcam, videophone, etc.) to connect caregivers and one or more patients simultaneously, e.g., for the purpose of education.

METHODS

Electronic databases were searched for relevant publications about asynchronous and synchronous tele-consultation [Medline, Picarta, Psychinfo, ScienceDirect, Telemedicine Information Exchange, Institute for Scientific Information Web of Science, Google Scholar]. Reference lists of identified publications were hand searched. The contribution to diabetes care was examined for clinical outcomes [e.g., hemoglobin A1c (HbA1c), dietary values, blood pressure, quality of life], for behavioral outcomes (patient-caregiver interaction, self-care), and for care coordination outcomes (usability of technology, cost-effectiveness, transparency of guidelines, equity of access to care). Randomized controlled trials with HbA1c as an outcome were pooled using standard meta-analytical methods.

RESULTS

Of 2060 publications identified, 90 met inclusion criteria for electronic communication between (groups of) caregivers and patients with type 1 and 2 or gestational diabetes. Studies that evaluated teleconsultation not particularly aimed at diabetes were excluded, as were those that described interventions aimed solely at clinical improvements (e.g., HbA1c or lipid profiles). In 63 of 90 interventions, the interaction had an asynchronous teleconsultation character, in 18 cases interaction was synchronously (videoconferencing), and 9 involved a combination of synchronous with asynchronous interaction. Most of the reported improvements concerned clinical values (n = 49), self-care (n = 46), and satisfaction with technology (n = 43). A minority of studies demonstrated improvements in patient-caregiver interactions (n = 28) and cost reductions (n = 27). Only a few studies reported enhanced quality of life (n = 12), transparency of health care (n = 7), and improved equity in care delivery (n = 4). Asynchronous and synchronous applications appeared to differ in the type of contribution they made to diabetes care compared to usual care: asynchronous applications were more successful in improving clinical values and self-care, whereas synchronous applications led to relatively high usability of technology and cost reduction in terms of lower travel costs for both patients and care providers and reduced unscheduled visits compared to usual care. The combined applications (n = 9) scored best according to quality of life (22.2%). No differences between synchronous and asynchronous teleconsultation could be observed regarding the positive effect of technology on the quality of patient-provider interaction. Both types of applications resulted in intensified contact and increased frequency of transmission of clinical values with respect to usual care. Fifteen of the studies contained HbA1c data that permitted pooling. There was significant statistical heterogeneity among the pooled randomized controlled trials (chi(2) = 96.46, P < 0.001). The pooled reduction in HbA1c was not statically significant (weighted mean difference -0.10; 95% confidence interval -0.39 to 0.18).

CONCLUSION

The included studies suggest that both synchronous and asynchronous teleconsultations for diabetes care are feasible, cost-effective, and reliable. However, it should be noted that many of the included studies showed no significant differences between control (usual care) and intervention groups. This might be due to the diversity and lack of quality in study designs (e.g., inaccurate or incompletely reported sample size calculations). Future research needs quasi-experimental study designs and a holistic approach that focuses on multilevel determinants (clinical, behavioral, and care coordination) to promote self-care and proactive collaborations between health care professionals and patients to manage diabetes care. Also, a participatory design approach is needed in which target users are involved in the development of cost-effective and personalized interventions. Currently, too often technology is developed within the scope of the existing structures of the health care system. Including patients as part of the design team stimulates and enables designers to think differently, unconventionally, or from a new perspective, leading to applications that are better tailored to patients' needs.

Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes

Knowledge of factors associated with the use of technology could inform the design of technology-based behavioral interventions. This study examined modifiable and nonmodifiable factors associated with technology-based self-monitoring. 123 participants with type 2 diabetes self-monitored diet using a personal digital assistant in a 6-month behavioral intervention. Multinomial logistic regression was used to examine probability of nonadherent and suboptimally adherent behavior relative to adherent behavior. Sociodemographic characteristics were not associated with probability of self-monitoring. Probability of adherence generally was greater in the weeks preceding no group session, and lower in the weeks following no group session or following skipped sessions. Non-modifiable factors suggested by the literature to be associated with poorer access to technology (lower income, older age, minority race, and lower education) were not associated with probability of self-monitoring in this population.

Perceptions of physical activity and motivational interviewing among rural African-American women with type 2 diabetes

PURPOSE

Motivational interviewing (MI), a patient-centered behavioral counseling style, is a common behavioral intervention strategy. Because intervention outcomes are highly dependent on patient responsiveness to intervention strategy, we evaluated MI perceptions among rural African American women with type 2 diabetes before a physical activity intervention.

METHODS

Four moderator-led focus groups were conducted with patients aged 21-50 years who had never participated in a MI intervention and who receive diabetes care in a rural community health center. Patients were asked to share their perceptions of an MI consultation after viewing a DVD-based example. They were also asked to discuss their physical activity perceptions and readiness. A comprehensive content analysis based on grounded theory was performed by two raters in order to identify main themes.

MAIN FINDINGS

Although patients (n = 31) had an appreciation for physical activity benefits and high levels of physical activity readiness, themes related to physical activity barriers and lack of motivation were pervasive. Patients regarded the MI consultation as an effective health communication but the patient-centeredness of the approach was negatively perceived. Compared with MI, patients agreed that more traditional paternalistic approaches (i.e., physician-led interactions) were more representative of "good counseling" and more familiar to them. Patients shared deeply about personal experiences and provided words of encouragement to one another.

CONCLUSION

Physical activity interventions including rural African-American women should include activities that focus on barrier management and increasing motivation. MI might be an appropriate behavioral counseling model when added to a more traditional cognitive-behavioral physical activity intervention that is group-based and tailored to patients' communication preferences and the clinical setting.

A PDA-based dietary self-monitoring intervention to reduce sodium intake in an in-center hemodialysis patient

OBJECTIVE

The purpose of the BalanceWise-hemodialysis study is to determine the efficacy of a dietary intervention to reduce dietary sodium intake in patients receiving maintenance, in-center hemodialysis (HD). Personal digital assistant (PDA)-based dietary self-monitoring is paired with behavioral counseling. The purpose of this report is to present a case study of one participant's progression through the intervention.

METHODS

The PDA was individually programmed with the nutritional requirements of the participant. With 25 minutes of personalized instruction, the participant was able to enter his meals into the PDA using BalanceLog((R)) software. Nutritional counseling was provided based on dietary sodium intake reports generated by BalanceLog((R)).

RESULTS

: At initiation of the study the participant required 4 HD treatments per week. The participant entered 342 meals over 16 weeks (>/=3 meals per day). BalanceLog((R)) revealed that the participant consumed restaurant/fast food on a regular basis, and consumed significant amounts of corned beef as well as canned foods high in sodium. The study dietitian worked with the participant and his wife to identify food alternatives lower in sodium. Baseline sodium consumption was 4,692 mg, and decreased at a rate of 192 mg/week on average. After 11 weeks of intervention, interdialytic weight gains were reduced sufficiently to permit the participant to reduce HD treatments from 4 to 3 per week. Because of a low serum albumin at baseline (2.9 g/dL) the study dietitian encouraged the participant to increase his intake of high quality protein. Serum albumin level at 16 weeks was unchanged (2.9 g/dL). Because of intense pruritis and a high baseline serum phosphorus (6.5 mg/dL) BalanceLog((R)) electronic logs were reviewed to identify sources of dietary phosphorus and counsel the participant regarding food alternatives. At 16 weeks the participant's serum phosphorus fell to 5.5 mg/dL.

CONCLUSIONS

Self-monitoring rates were excellent. In a HD patient who was willing to self-monitor his dietary intake, BalanceLog((R)) allowed the dietitian to target problematic foods and provide counseling that appeared to be effective in reducing sodium intake, reducing interdialytic weight gain, and alleviating hyperphosphatemia and hyperkalemia. Additional research is needed to evaluate the efficacy of the intervention.