Linda Gonder-Frederick

Evaluating Clinical Accuracy of Systems for Self-Monitoring of Blood Glucose

Although the scientific literature contains numerous reports of the statistical accuracy of systems for self-monitoring of blood glucose (SMBG), most of these studies determine accuracy in ways that may not be clinically useful. We have developed an error grid analysis (EGA), which describes the clinical accuracy of SMBG systems over the entire range of blood glucose values, taking into account 1) the absolute value of the system-generated glucose value, 2) the absolute value of the reference blood glucose value, 3) the relative difference between these two values, and 4) the clinical significance of this difference. The EGA of accuracy of five different reflectance meters (Eyetone, Dextrometer, Glucometer I, Glucometer II, Memory Glucometer II), a visually interpretable glucose reagent strip (Glucostix), and filter-paper spot glucose determinations is presented. In addition, reanalyses of a laboratory comparison of three reflectance meters (Accucheck II, Glucometer II, Glucoscan 9000) and of two previously published studies comparing the accuracy of five different reflectance meters with EGA is described. EGA provides the practitioner and the researcher with a clinically meaningful method for evaluating the accuracy of blood glucose values generated with various monitoring systems and for analyzing the clinical implications of previously published data.

Fear of Hypoglycemia: Quantification, Validation, and Utilization

Hypoglycemia can lead to various aversive symptomatic, affective, cognitive, physiological, and social consequences, which in turn can lead to the development of possible phobic avoidance behaviors associated with hypoglycemia. On the other hand, some patients may inappropriately deny or disregard warning signs of hypoglycemia. This study presents preliminary reliability and validity data on a psychometric instrument designed to quantify this fear: the hypoglycemic fear survey. The instrument was found to have internal consistency and test-retest stability, to covary with elevated glycosylated hemoglobin, and to be sensitive to a behavioral treatment program designed to increase awareness of hypoglycemia.

A Behavior Change Model for Internet Interventions

BackgroundThe Internet has become a major component to health care and has important implications for the future of the health care system. One of the most notable aspects of the Web is its ability to provide efficient, interactive, and tailored content to the user. Given the wide reach and extensive capabilities of the Internet, researchers in behavioral medicine have been using it to develop and deliver interactive and comprehensive treatment programs with the ultimate goal of impacting patient behavior and reducing unwanted symptoms. To date, however, many of these interventions have not been grounded in theory or developed from behavior change models, and no overarching model to explain behavior change in Internet interventions has yet been published.PurposeThe purpose of this article is to propose a model to help guide future Internet intervention development and predict and explain behavior changes and symptom improvement produced by Internet interventions.ResultsThe model purports that effective Internet interventions produce (and maintain) behavior change and symptom improvement via nine nonlinear steps: the user, influenced by environmental factors, affects website use and adherence, which is influenced by support and website characteristics. Website use leads to behavior change and symptom improvement through various mechanisms of change. The improvements are sustained via treatment maintenance.ConclusionBy grounding Internet intervention research within a scientific framework, developers can plan feasible, informed, and testable Internet interventions, and this form of treatment will become more firmly established.

Reduced Awareness of Hypoglycemia in Adults With IDDM: A prospective study of hypoglycemic frequency and associated symptoms

OBJECTIVE To prospectively evaluate the frequency and severity of hypoglycemic episodes in IDDM subjects who declare themselves to have reduced awareness of hypoglycemia, to validate their self-designations in their natural environment, and to determine objectively the presence or absence of autonomic and neuroglycopenic symptoms associated with their low blood glucose (BG) levels. RESEARCH DESIGN AND METHODS A total of 78 insulin-dependent diabetes mellitus (IDDM) subjects (mean age 38.3 ± 9.2 years; duration of diabetes 19.3 ± 10.4 years) completed two sets of assessments separated by 6 months. The assessments included reports of frequency and severity of low BG, symptoms associated with low BG, and a BG symptom/estimation trial using a hand-held computer (HHC). Diaries of hypoglycemic episodes were kept for the intervening 6 months. HbA1 levels were determined at each assessment. RESULTS Of the subjects, 39 declared themselves as having reduced awareness of hypoglycemia (reduced-awareness subjects). There were no differences between these reduced-awareness subjects and aware subjects with regard to age, sex, disease duration, insulin dose, or HbA1. During the HHC trials, reduced-awareness subjects were significantly less accurate in detecting BG < 3.9 mmol/l (33.2 ± 47 vs. 47.6 ± 50% detection, P = 0.001) and had significantly fewer autonomic (0.41 ± 0.82 vs. 1.08 ± 1.22, P = 0.006, reduced-awareness vs. aware) and neuroglycopenic (0.44 ± 0.85 vs. 1.18 ± 1.32, P = 0.004, reduced-awareness vs. aware) symptoms per subject. Prospective diary records revealed that reduced-awareness subjects experienced more moderate (351 vs. 238, P = 0.026) and severe (50 vs. 17, P = 0.0062) hypoglycemic events. The second assessment results were similar to the first and verified the reliability of the data. CONCLUSIONS IDDM subjects who believe they have reduced awareness of hypoglycemia are generally correct. They have a history of more moderate and severe hypoglycemia, are less accurate at detecting BG < 3.9 mmol/l, and prospectively experience more moderate and severe hypoglycemia than do aware subjects. Neither disease duration nor level of glucose control explains their reduced awareness of hypoglycemia. Reduced-awareness individuals may benefit from interventions designed to teach them to recognize all of their potential early warning symptoms.

Internet Interventions: In Review, In Use, and Into the Future

The provision of health care over the Internet is a rapidly evolving and potentially beneficial means of delivering treatment otherwise unsought or unobtainable. Internet interventions are typically behavioral treatments operationalized and transformed for Web delivery with the goal of symptom improvement. The literature on the feasibility and utility of Internet interventions is limited, and there are even fewer outcome study findings. This article reviews empirically tested Internet interventions and provides an overview of the issues in developing and/or using them in clinical practice. Future directions and implications are also addressed. Although Internet interventions will not likely replace face-to-face care, there is little doubt that they will grow in importance as a powerful component of successful psychobehavioral treatment. With the advancement of computer technologies over the past 20 years, a flood of new ways to communicate, provide, and deliver psychological treatments has emerged. The Internet has the ability to reach people all over the world and provide highly specialized psychological interventions otherwise not sought or obtainable. There is a new but growing literature on the use of the Internet as a means of delivering treatment. These Internet treatments are typically focused on behavioral issues, with the goal of instituting behavior change and subsequent symptom improvement. They are usually self-paced, interactive, and tailored to the user, and they make use of the multimedia format offered by the Internet. Individuals with computer and Internet access who use these treatments may also overcome many of the barriers to obtaining traditional care because they can seek such treatments at any time, any place, and often at significantly reduced cost. Clearly, people are using computers and the Internet in greater frequency and with the specific purpose of obtaining mental health information (see Crutsinger, 2000; Employment Policy Foundation, 2001; Pew Research Center, 2002; Rabasca, 2000). This new field of Internet interventions is only going to grow and expand. The benefits are vast, as there is the potential for greater numbers of people to receive more services than ever before. However, to meet this potential, Internet interventions, like any other treatment, must first demonstrate feasibility and efficacy through rigorous scientific testing. In this article we present a critical examination of the current state of the available literature focused on the development and testing of these types of interventions. In addition, issues that should be addressed when constructing Internet interventions are enumerated, followed by a discussion of possible future directions and implications for research and clinical practice.

Efficacy of an Internet-Based Behavioral Intervention for Adults with Insomnia

CONTEXT Insomnia is a major health problem with significant psychological, health, and economic consequences. However, availability of one of the most effective insomnia treatments, cognitive behavioral therapy, is significantly limited. The Internet may be a key conduit for delivering this intervention. OBJECTIVE To evaluate the efficacy of a structured behavioral Internet intervention for adults with insomnia. DESIGN, SETTING, AND PARTICIPANTS Forty-five adults were randomly assigned to an Internet intervention (n = 22) or wait-list control group (n = 23). Forty-four eligible participants (mean [SD] age, 44.86 [11.03] years; 34 women) who had a history of sleep difficulties longer than 10 years on average (mean [SD], 10.59 [8.89] years) were included in the analyses. INTERVENTION The Internet intervention is based on well-established face-to-face cognitive behavioral therapy incorporating the primary components of sleep restriction, stimulus control, sleep hygiene, cognitive restructuring, and relapse prevention. MAIN OUTCOME MEASURES The Insomnia Severity Index and daily sleep diary data were used to determine changes in insomnia severity and the main sleep variables, including wake after sleep onset and sleep efficiency. RESULTS Intention-to-treat analyses showed that scores on the Insomnia Severity Index significantly improved from 15.73 (95% confidence interval [CI], 14.07 to 17.39) to 6.59 (95% CI, 4.73 to 8.45) for the Internet group but did not change for the control group (16.27 [95% CI, 14.61 to 17.94] to 15.50 [95% CI, 13.64 to 17.36]) (F(1,42) = 29.64; P < .001). The Internet group maintained their gains at the 6-month follow-up. Internet participants also achieved significant decreases in wake after sleep onset (55% [95% CI, 34% to 76%]) and increases in sleep efficiency (16% [95% CI, 9% to 22%]) compared with the nonsignificant control group changes of wake after sleep onset (8% [95% CI, -17% to 33%) and sleep efficiency (3%; 95% CI, -4% to 9%). CONCLUSIONS Participants who received the Internet intervention for insomnia significantly improved their sleep, whereas the control group did not have a significant change. The Internet appears to have considerable potential in delivering a structured behavioral program for insomnia. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00328250.

Glucose enhancement of performance of memory tests in young and aged humans

Recent findings indicate that glucose administration enhances memory processes in rodents. This study examined the effects of glucose on memory in humans. After drinking glucose- or saccharin-flavored beverages, college-aged and elderly humans were tested with modified versions of the Wechsler Memory Scale. Beverages and tests were administered in a counter-balanced, crossover design, enabling within subject comparisons. The major findings were: (1) glucose enhanced memory in elderly and, to a lesser extent, in young subjects; and (2) glucose tolerance in individual subjects predicted memory in elderly, but not in young subjects on both glucose and saccharin test days.

Major developments in behavioral diabetes research.

Over the past decade, there has been a major increase in behavioral diabetes research. This review focuses on 6 areas: self-treatment, psychosocial impact, diabetes-specific assessment, psychological stress, weight loss intervention, and neuropsychological effects. There has been great progress in identifying factors that predict self-treatment behaviors and psychological adjustment. This research has produced a number of diabetes-specific assessment tools. Psychological stress appears to affect both the etiology and the control of diabetes, but underlying mechanisms remain unclear. Weight loss studies demonstrate the potential benefits of behavioral interventions for diabetes management. Both acute and chronic abnormalities in diabetic blood glucose cause neuropsychological impairments and may cause permanent deficits. The challenge for the next decade is to translate these findings into interventions that improve quality of life and physical well-being for individuals with diabetes.

Psychosocial evaluation of bariatric surgery candidates: a survey of present practices.

Objective: Successful outcome for bariatric surgery is largely dependent on patients’ ability to adhere to postoperative behavior changes. A thorough psychological evaluation is often required before patients’ approval for surgery. In addition to a standard psychiatric interview, assessment of behavioral components specific to this surgery seems indicated. No uniform guidelines exist on how to conduct such an evaluation. This survey was designed to collect information on the level of involvement of mental health professionals with bariatric surgery programs and their approach to evaluating bariatric surgery candidates. Methods: Surveys about psychological evaluation practices were mailed to 188 bariatric surgery programs. Eighty-one surveys were returned. Results: Eighty-eight percent of programs require patients to undergo a psychological evaluation and almost half require formal standardized psychological assessment. Current illicit drug use, active symptoms of schizophrenia, severe mental retardation, and lack of knowledge about the surgery were the most commonly cited contraindications, preventing patients from gaining approval for surgery. Discussion: The majority of programs use psychological evaluations; however, the exclusion criteria for surgery vary greatly. Establishing uniform guidelines for the screening of bariatric surgery candidates is necessary. Suggestions on how to begin this process are provided. More research about behavioral and cognitive predictors of postsurgical success is needed. OCD = obsessive compulsive disorder.

Diabetes and behavioral medicine: the second decade.

Diabetes management depends almost entirely on behavioral self-regulation. Behavioral scientists have continued a collaboration with other health systems researchers to develop a holistic approach to this disease. The authors summarized the literature in 4 major areas: self-management of diabetes, psychosocial adjustment and quality of life, neuropsychological impact, and psychobehavioral intervention development. Progress made in each of these areas over the past decade is highlighted, as are important issues that have not yet received sufficient scientific attention. Emerging areas likely to become central in behavioral research, such as diabetes prevention, are introduced. The future of behavioral medicine in diabetes is also discussed, including topics such as the changing role of psychologists in diabetes care, the urgent need for more and better intervention research, the growing importance of incorporating a health system-public health perspective, and obstacles to the integration of psychobehavioral approaches into routine health care delivery.