Thomas R. Belin

Bio: Thomas R. Belin is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Population & Randomized controlled trial. The author has an hindex of 55, co-authored 174 publications receiving 15093 citations. Previous affiliations of Thomas R. Belin include University of California, Berkeley & University of Virginia.

Collaborative Care Management of Late-Life Depression in the Primary Care Setting: A Randomized Controlled Trial

Abstract: ContextFew depressed older adults receive effective treatment in primary care settings.ObjectiveTo determine the effectiveness of the Improving Mood–Promoting Access to Collaborative Treatment (IMPACT) collaborative care management program for late-life depression.DesignRandomized controlled trial with recruitment from July 1999 to August 2001.SettingEighteen primary care clinics from 8 health care organizations in 5 states.ParticipantsA total of 1801 patients aged 60 years or older with major depression (17%), dysthymic disorder (30%), or both (53%).InterventionPatients were randomly assigned to the IMPACT intervention (n = 906) or to usual care (n = 895). Intervention patients had access for up to 12 months to a depression care manager who was supervised by a psychiatrist and a primary care expert and who offered education, care management, and support of antidepressant management by the patient's primary care physician or a brief psychotherapy for depresssion, Problem Solving Treatment in Primary Care.Main Outcome MeasuresAssessments at baseline and at 3, 6, and 12 months for depression, depression treatments, satisfaction with care, functional impairment, and quality of life.ResultsAt 12 months, 45% of intervention patients had a 50% or greater reduction in depressive symptoms from baseline compared with 19% of usual care participants (odds ratio [OR], 3.45; 95% confidence interval [CI], 2.71-4.38; P<.001). Intervention patients also experienced greater rates of depression treatment (OR, 2.98; 95% CI, 2.34-3.79; P<.001), more satisfaction with depression care (OR, 3.38; 95% CI, 2.66-4.30; P<.001), lower depression severity (range, 0-4; between-group difference, −0.4; 95% CI, −0.46 to −0.33; P<.001), less functional impairment (range, 0-10; between-group difference, −0.91; 95% CI, −1.19 to −0.64; P<.001), and greater quality of life (range, 0-10; between-group difference, 0.56; 95% CI, 0.32-0.79; P<.001) than participants assigned to the usual care group.ConclusionThe IMPACT collaborative care model appears to be feasible and significantly more effective than usual care for depression in a wide range of primary care practices.

Fatigue in Breast Cancer Survivors: Occurrence, Correlates, and Impact on Quality of Life

Abstract: PURPOSE: To describe the occurrence of fatigue in a large sample of breast cancer survivors relative to general population norms and to identify demographic, medical, and psychosocial characteristics of fatigued survivors. PATIENTS AND METHODS: Breast cancer survivors in two large metropolitan areas completed standardized questionnaires as part of a survey study, including the RAND 36-item Health Survey, Center for Epidemiological Studies–Depression Scale, Breast Cancer Prevention Trial Symptom Checklist, Medical Outcomes Study Sleep Scale, and demographic and treatment-related measures. RESULTS: On average, the level of fatigue reported by the breast cancer survivors surveyed (N = 1,957) was comparable to that of age-matched women in the general population, although the breast cancer survivors were somewhat more fatigued than a more demographically similar reference group. Approximately one third of the breast cancer survivors assessed reported more severe fatigue, which was associated with significantly...

Quality of Life in Long-Term, Disease-Free Survivors of Breast Cancer: a Follow-up Study

Abstract: Background: Women with breast cancer are the largest group of female survivors of cancer. There is limited information about the long-term quality of life (QOL) in diseasefree breast cancer survivors. Methods: Letters of invitation were mailed to 1336 breast cancer survivors who had participated in an earlier survey and now were between 5 and 10 years after their initial diagnosis. The 914 respondents interested in participating were then sent a survey booklet that assessed a broad range of QOL and survivorship concerns. All P values were two-sided. Results: A total of 817 women completed the follow-up survey (61% response rate), and the 763 disease-free survivors in that group, who had been diagnosed an average of 6.3 years earlier, are the focus of this article. Physical well-being and emotional well-being were excellent; the minimal changes between the baseline and follow-up assessments reflected expected age-related changes. Energy level and social functioning were unchanged. Hot flashes, night sweats, vaginal discharge, and breast sensitivity were less frequent. Symptoms of vaginal dryness and urinary incontinence were increased. Sexual activity with a partner declined statistically significantly between the two assessments (from 65% to 55%, P = .001). Survivors with no past systemic adjuvant therapy had a better QOL than those who had received systemic adjuvant therapy (chemotherapy, tamoxifen, or both together) (physical functioning, P = .003; physical role function, P = .02; bodily pain, P = .01; social functioning, P = .02; and general health, P = .03). In a multivariate analysis, past chemotherapy was a statistically significant predictor of a poorer current QOL (P = .003). Conclusions: Long-term, disease-free breast cancer survivors reported high levels of functioning and QOL many years after primary treatment. However, past systemic adjuvant treatment was associated with poorer functioning on several dimensions of QOL. This information may be useful to patients and physicians who are engaging in discussion of the risks and benefits of systemic adjuvant therapy. [J Natl Cancer Inst 2002;94:39–49]

Fatigue in long-term breast carcinoma survivors: a longitudinal investigation.

Abstract: BACKGROUND A longitudinal study was designed to evaluate the prevalence, persistence, and predictors of posttreatment fatigue in breast carcinoma survivors METHODS A sample of 763 breast carcinoma survivors completed questionnaires at 1–5 and 5–10 years after diagnosis, including the RAND 36-item Health Survey, Center for Epidemiological Studies – Depression scale (CES-D), Breast Cancer Prevention Trial Symptom Checklist, and demographic and treatment-related measures RESULTS Approximately 34% of study participants reported significant fatigue at 5–10 years after diagnosis, which is consistent with prevalence estimates obtained at 1–5 years after diagnosis Approximately 21% reported fatigue at both assessment points, indicating a more persistent symptom profile Longitudinal predictors of fatigue included depression, cardiovascular problems, and type of treatment received Women treated with either radiation or chemotherapy alone showed a small improvement in fatigue compared with those treated with both radiation and chemotherapy CONCLUSIONS Fatigue continues to be a problem for breast carcinoma survivors many years after cancer diagnosis, with 21% reporting persistent problems with fatigue Several factors that may contribute to long-term fatigue are amenable to intervention, including depression and comorbid medical conditions Cancer 2006 © 2006 American Cancer Society

Role of Breast Reconstructive Surgery in Physical and Emotional Outcomes Among Breast Cancer Survivors

Abstract: Background: Tissue-sparing approaches to primary treatment and reconstructive options provide improved cosmetic outcomes for women with breast cancer. Earlier research has suggested that conservation or restitution of the breast might mitigate the negative effects of breast cancer on women's sexual well-being. Few studies, however, have compared psychosocial outcomes of women who underwent lumpectomy, mastectomy alone, or mastectomy with reconstruction. To address some of these issues, we examined women's adaptation to surgery in two large cohorts of breast cancer survivors. Methods: A total of 1957 breast cancer survivors (1-5 years after diagnosis) from two major metropolitan areas were assessed in two waves with the use of a self-report questionnaire that included a number of standardized measures of health-related quality of life, body image, and physical and sexual functioning. All P values are two-sided. Results: More than one half (57%) of the women underwent lumpectomy, 26% had mastectomy alone, and 17% had mastectomy with reconstruction. As in earlier studies, women in the mastectomy with reconstruction group were younger than those in the lumpectomy or mastectomy-alone groups (mean ages = 50.3, 55.9, and 58.9, respectively; P = .0001); they were also more likely to have a partner and to be college educated, affluent, and white. Women in both mastectomy groups complained of more physical symptoms related to their surgeries than women in the lumpectomy group. However, the groups did not differ in emotional, social, or role function. Of interest, women in the mastectomy with reconstruction group were most likely to report that breast cancer had had a negative impact on their sex lives (45.4% versus 29.8% for lumpectomy and 41.3% for mastectomy alone; P = .0001). Conclusions: The psychosocial impact of type of primary surgery for breast cancer occurs largely in areas of body image and feelings of attractiveness, with women receiving lumpectomy experiencing the most positive outcome. Beyond the first year after diagnosis, a woman's quality of life is more likely influenced by her age or exposure to adjuvant therapy than by her breast surgery.

Missing data: Our view of the state of the art.

Abstract: Statistical procedures for missing data have vastly improved, yet misconception and unsound practice still abound. The authors frame the missing-data problem, review methods, offer advice, and raise issues that remain unresolved. They clear up common misunderstandings regarding the missing at random (MAR) concept. They summarize the evidence against older procedures and, with few exceptions, discourage their use. They present, in both technical and practical language, 2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI). Newer developments are discussed, including some for dealing with missing data that are not MAR. Although not yet in the mainstream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art.

Standards of Medical Care in Diabetes

Abstract: XI. STRATEGIES FOR IMPROVING DIABETES CARE D iabetes is a chronic illness that requires continuing medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. Diabetes care is complex and requires that many issues, beyond glycemic control, be addressed. A large body of evidence exists that supports a range of interventions to improve diabetes outcomes. These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care. While individual preferences, comorbidities, and other patient factors may require modification of goals, targets that are desirable for most patients with diabetes are provided. These standards are not intended to preclude more extensive evaluation and management of the patient by other specialists as needed. For more detailed information, refer to Bode (Ed.): Medical Management of Type 1 Diabetes (1), Burant (Ed): Medical Management of Type 2 Diabetes (2), and Klingensmith (Ed): Intensive Diabetes Management (3). The recommendations included are diagnostic and therapeutic actions that are known or believed to favorably affect health outcomes of patients with diabetes. A grading system (Table 1), developed by the American Diabetes Association (ADA) and modeled after existing methods, was utilized to clarify and codify the evidence that forms the basis for the recommendations. The level of evidence that supports each recommendation is listed after each recommendation using the letters A, B, C, or E.

Multiple imputation using chained equations: Issues and guidance for practice

Abstract: Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. Copyright © 2010 John Wiley & Sons, Ltd.

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.

Abstract: Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them

Medscape

Abstract: Secret History: Return of the Black Death Channel 4, 7-8pm In 1348 the Black Death swept through London, killing people within days of the appearance of their first symptoms. Exactly how many died, and why, has long been a mystery. This Secret History documentary follows experts as they pick through the evidence and reveal why the plague killed on such a scale. And they ask, what might be coming next?