Felicia Hill-Briggs

Problem solving in diabetes self-management: a model of chronic illness self-management behavior.

Management of chronic illnesses is a significant public health concern that is made more challenging by problems of regimen adherence. Effective self-management of chronic illnesses such as diabetes requires not only technical skill to perform regimen behaviors but also problem-solving skills to manage daily barriers to regimen adherence and to make appropriate adjustment to the self-care regimen. A review of the empirical literature on the relation between problem solving and disease self-management in diabetes, a chronic illness exemplar, illuminates methodological limitations that indicate a need for a theoretical framework for problem solving applied to chronic disease self-management. A problem-solving model of chronic disease self-management is proposed, derived from theories of problem solving in cognitive psychology, educational al/tearning theory, and social problem solving. Four essential components of problem solving in disease self-management are identified: (a) problem-solving skill, (b) problem-solving orientation, (c) disease-specific knowledge, and (d) transfer of past experience. The model is illustrated, and empirical support for this problem-solving model in the diabetes literature is discussed. The model has utility in driving testable hypotheses regarding the relation of disease-specific problem solving to chronic illness management, in developing problem-solving assessment instruments relevant to disease self-management, and in guiding disease self-management training and interventions.

Problem solving in diabetes self-management and control: a systematic review of the literature

PURPOSE The purpose of this systematic review is to assess the published literature on problem solving and its associations with diabetes self-management and control, as the state of evidence exists. DATA SOURCES PubMed, PsychINFO, and ERIC electronic databases were searched for the years 1990 to the present and for English-language articles, and reference lists from included studies were reviewed to capture additional studies. STUDY SELECTION Quantitative and qualitative studies that addressed problem solving as a process or strategy for diabetes self-management were included. Fifty-two studies met the criteria for inclusion. DATA EXTRACTION Study design, sample characteristics, measures, and results were reviewed. DATA SYNTHESIS Thirty-six studies were quantitative; 16 were conceptual or qualitative. Studies were classified as addressing the problem-solving definition/framework, assessment, intervention, or health care professional issues. CONCLUSIONS Problem solving is a multidimensional construct encompassing verbal reasoning/rational problem solving, quantitative problem solving, and coping. Aspects of problem solving can be assessed using newly developed diabetes-specific problem-solving measures for children/adolescents and adults. Cross-sectional studies in adults, but not children/adolescents, provide consistent evidence of associations between problem solving and A1C level. Only 25% of problem-solving intervention studies with children/adolescents and 50% of interventions with adults reported improvement in A1C. Most intervention studies reported an improvement in behaviors, most commonly global adherence in children/adolescents and dietary behavior in adults. Methodological limitations (noninclusion of problem-solving measures, inadequate descriptions of problem-solving interventions, homogenous samples) need to be addressed in future research to clarify the effect of problem solving on diabetes outcomes, identify characteristics of effective interventions, and determine the utility across age and racial/ethnic groups.

The Effects of a Nurse Case Manager and a Community Health Worker Team on Diabetic Control, Emergency Department Visits, and Hospitalizations Among Urban African Americans With Type 2 Diabetes Mellitus: A Randomized Controlled Trial

BACKGROUND Although African American adults bear a disproportionate burden from diabetes mellitus (DM), few randomized controlled trials have tested culturally appropriate interventions to improve DM care. METHODS We randomly assigned 542 African Americans with type 2 DM enrolled in an urban managed care organization to either an intensive or minimal intervention group. The intensive intervention group consisted of all components of the minimal intervention plus individualized, culturally tailored care provided by a nurse case manager (NCM) and a community health worker (CHW), using evidence-based clinical algorithms with feedback to primary care providers (eg, physicians, nurse practitioners, or physician assistants). The minimal intervention consisted of mailings and telephone calls every 6 months to remind participants about preventive screenings. Data on diabetic control were collected at baseline and at 24 months by blind observers; data emergency department (ER) visits and hospitalizations were assessed using administrative data. RESULTS At baseline, participants had a mean age of 58 years, 73% were women, and 50% were living in poverty. At 24 months, compared with the minimal intervention group, those in the intensive intervention group were 23% less likely to have ER visits (rate difference [RD], -14.5; adjusted rate ratio [RR], 0.77; 95% confidence interval [CI], 0.59-1.00). In on-treatment analyses, the rate reduction was strongest for patients who received the most NCM and CHW visits (RD, -31.0; adjusted RR, 0.66; 95% CI, 0.43-1.00; rate reduction downward arrow 34%). CONCLUSION These data suggest that a culturally tailored intervention conducted by an NCM/CHW team reduced ER visits in urban African Americans with type 2 DM. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00022750.

Psychosocial Care for People With Diabetes: A Position Statement of the American Diabetes Association

Complex environmental, social, behavioral, and emotional factors, known as psychosocial factors, influence living with diabetes, both type 1 and type 2, and achieving satisfactory medical outcomes and psychological well-being. Thus, individuals with diabetes and their families are challenged with complex, multifaceted issues when integrating diabetes care into daily life. To promote optimal medical outcomes and psychological well-being, patient-centered care is essential, defined as “providing care that is respectful of and responsive to individual patient preferences, needs, and values and ensuring that patient values guide all clinical decisions” (1). Practicing personalized, patient-centered psychosocial care requires that communications and interactions, problem identification, psychosocial screening, diagnostic evaluation, and intervention services take into account the context of the person with diabetes (PWD) and the values and preferences of the PWD. This article provides diabetes care providers with evidence-based guidelines for psychosocial assessment and care of PWD and their families. Recommendations are based on commonly used clinical models, expert consensus, and tested interventions, taking into account available resources, practice patterns, and practitioner burden. Consideration of life span and disease course factors (Fig. 1) is critical in the psychosocial care of PWD. This Position Statement focuses on the most common psychological factors affecting PWD, including diabetes distress and psychological comorbidities, while also considering the needs of special populations and the context of care. Figure 1 Psychosocial care for PWD: life and disease course perspectives. *With depressed mood, anxiety, or emotion and conduct disturbance. **Personality traits, coping style, maladaptive health behaviors, or stress-related physiological response. \***|Examples include changing schools, moving, job/occupational changes, marriage or divorce, or experiencing loss. #### Recommendations

Depressive symptoms and health-related quality of life in early pregnancy.

OBJECTIVE: Depressive symptoms can be associated with lower health-related quality of life in late pregnancy. Few studies have quantified the effect of depressive symptoms in early pregnancy or among a racially and economically diverse group. Our goal was to estimate the independent association of depressive symptoms with health-related quality of life among a diverse group of women in early pregnancy. METHODS: We conducted a cross-sectional study of 175 pregnant women receiving prenatal care in a community and university-based setting. We related the presence of depressive symptoms, defined as a Center for Epidemiologic Studies Depression Scale score of 16 or more to health-related quality of life scores from the 8 Medical Outcomes Study Short Form domains: Physical Functioning, Role-Physical, Bodily Pain, Vitality, General Health, Social Functioning, Role-Emotional, and Mental Health. Quantile regression was used to measure the independent association of depressive symptoms with each of the 8 domains. RESULTS: The study sample was 49% African American, 38% white, and 11% Asian. Mean (± standard deviation) gestational age was 14 ± 6 weeks.The prevalence of depressive symptoms was 15%. Women with depressive symptoms had significantly lower health-related quality of life scores in all domains except Physical Functioning. After adjustment for sociodemographic, clinical, and social support factors, depressive symptoms were associated with health-related quality of life scores that were 30 points lower in Role-Physical, 19 points lower in Bodily Pain, 10 points lower in General Health, and 56 points lower in Role-Emotional. CONCLUSION: Women in early pregnancy with depressive symptoms have poor health-related quality of life. Early identification and management of depressive symptoms in pregnant women may improve their sense of well-being. LEVEL OF EVIDENCE: II-2

Barriers to and Facilitators of Postpartum Follow-Up Care in Women with Recent Gestational Diabetes Mellitus: A Qualitative Study

OBJECTIVES Women with a history of gestational diabetes mellitus (GDM) have an increased risk of developing type 2 diabetes (T2DM) but often do not return for follow-up care. We explored barriers to and facilitators of postpartum follow-up care in women with recent GDM. METHODS We conducted 22 semistructured interviews, 13 in person and 9 by telephone, that were audiotaped and transcribed. Two investigators independently coded transcripts. We identified categories of themes and subthemes. Atlas.ti qualitative software (Berlin, Germany) was used to assist data analysis and management. RESULTS Mean age was 31.5 years (standard deviation) [SD] 4.5), 63% were nonwhite, mean body mass index (BMI) was 25.9 kg/m(2) (SD 6.2), and 82% attended a postpartum visit. We identified four general themes that illustrated barriers and six that illustrated facilitators to postpartum follow-up care. Feelings of emotional stress due to adjusting to a new baby and the fear of receiving a diabetes diagnosis at the visit were identified as key barriers; child care availability and desire for a checkup were among the key facilitators to care. CONCLUSIONS Women with recent GDM report multiple barriers and facilitators of postpartum follow-up care. Our results will inform the development of interventions to improve care for these women to reduce subsequent diabetes risk.

Magnitude of cognitive dysfunction in adults with type 2 diabetes: a meta-analysis of six cognitive domains and the most frequently reported neuropsychological tests within domains.

The objectives were to conduct a meta-analysis in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards to determine effect sizes (Cohens d) for cognitive dysfunction in adults with type 2 diabetes, relative to nondiabetic controls, and to obtain effect sizes for the most commonly reported neuropsychological tests within domains. Twenty-four studies, totaling 26,137 patients (n = 3351 with diabetes), met study inclusion criteria. Small to moderate effect sizes were obtained for five of six domains: motor function (3 studies, n = 2374; d = -0.36), executive function (12 studies, n = 1784; d = -0.33), processing speed (16 studies, n = 3076; d = -0.33), verbal memory (15 studies, n = 4,608; d = -0.28), and visual memory (6 studies, n = 1754; d = -0.26). Effect size was smallest for attention/concentration (14 studies, n = 23,143; d = -0.19). The following tests demonstrated the most notable performance decrements in diabetes samples: Grooved Pegboard (dominant hand) (d = -0.60), Rey Auditory Verbal Learning Test (immediate) (d = -0.40), Trails B (d = -0.39), Rey-Osterreith Complex Figure (delayed) (d = -0.38), Trails A (d = -0.34), and Stroop Part I (d = -0.28). This study provides effect sizes to power future epidemiological and clinical diabetes research studies examining cognitive function and to help inform the selection of neuropsychological tests.

Health‐related Quality of Life in Urban African Americans with Type 2 Diabetes

AbstractOBJECTIVE: To examine the association of socioeconomic barriers, familial barriers, and clinical variables with health-related quality of life (HRQL). METHODS: A cross-sectional study was conducted of 186 African Americans with type 2 diabetes recruited from 2 primary care clinics in East Baltimore, Maryland. Physical functioning, social functioning, mental health, and general health were measured using the Medical Outcomes Study 36-item short form. Socioeconomic (money, housing, street crime) and familial (family problems, caretaker responsibilities) barriers were assessed by standardized interview. Insulin use, comorbid disease, and measured abnormalities in body mass index, hemoglobin A1c (HbA1c), blood pressure, lipids, and renal function were investigated. RESULTS: Mean HRQL scores were: physical functioning, 61±29; social functioning, 76±26; mental health, 69±21; and general health, 48±21. Linear regression analyses revealed that each barrier to care was significantly associated with lower scores in 1 or more HRQL domain. As number of socioeconomic and familial barriers increased from 0 to 5, HRQL scores decreased by 18 for social functioning, 21 for general health, 23 for physical functioning, and 28 for mental health (all P for trend <.01). Clinical variables significantly associated with reduced HRQL were obesity, impaired renal function, insulin use, and comorbid disease. Blood pressure, lipids, and HbA1c were not significantly associated with HRQL. CONCLUSIONS: An independent, graded relationship was found between socioeconomic and familial barriers to care and HRQL. This relationship was at least as strong as the association between HRQL and the clinical variables more likely to be perceived by participants as causing symptomatic distress or impacting lifestyle.

Medication adherence and diabetes control in urban African Americans with type 2 diabetes.

In 181 urban African Americans with Type 2 diabetes, medication adherence was assessed using a measure designed specifically for an urban, impoverished sociodemographic population. Hemoglobin A-sub(1c), blood pressure and cholesterol levels, medication-related beliefs, and depression were assessed. Seventy-four percent of the sample reported adherence to diabetes medication. Adherence, adjusted for age, was associated with lower hemoglobin A-sub(1c). The specific behaviors associated with poorer diabetes control were forgetting to take medications and running out of medications. Knowledge of blood glucose goals differed for adherers and nonadherers. Blood pressure and cholesterol medication adherence rates were not associated with actual levels of blood pressure or lipids, respectively. These data suggest that specific medication-taking behaviors are important to diabetes control and constitute logical targets for interventions. ((c) 2005 APA, all rights reserved).

Problem solving interventions for diabetes self-management and control: A systematic review of the literature

AIMS Problem solving is deemed a core skill for patient diabetes self-management education. The purpose of this systematic review is to examine the published literature on the effect of problem-solving interventions on diabetes self-management and disease control. DATA SOURCES We searched PubMed and PsychINFO electronic databases for English language articles published between November 2006 and September 2012. Reference lists from included studies were reviewed to capture additional studies. STUDY SELECTION Studies reporting problem-solving intervention or problem solving as an intervention component for diabetes self-management training and disease control were included. Twenty-four studies met inclusion criteria. DATA EXTRACTION Study design, sample characteristics, measures, and results were reviewed. DATA SYNTHESIS Sixteen intervention studies (11 adult, 5 children/adolescents) were randomized controlled trials, and 8 intervention studies (6 adult, 2 children/adolescents) were quasi-experimental designs. CONCLUSIONS Studies varied greatly in their approaches to problem-solving use in patient education. To date, 36% of adult problem-solving interventions and 42% of children/adolescent problem-solving interventions have demonstrated significant improvement in HbA1c, while psychosocial outcomes have been more promising. The next phase of problem-solving intervention research should employ intervention characteristics found to have sufficient potency and intensity to reach therapeutic levels needed to demonstrate change.