Lynne Penberthy

Virginia Commonwealth University, Richmond, VA, United States

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Publications (51)196.4 Total impact

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    ABSTRACT: Background: Cancer treatment information is often underreported in cancer registries due to the shift in cancer care to ambulatory settings. Incomplete treatment information for central registries limits the usefulness of these data for understanding disparities in outcomes. The objective of this study was to evaluate the added value and validity of medical billing data to supplement treatment for incident cases within a central cancer registry. Methods: Billing data using standardized structure and nomenclature as submitted by all practices was evaluated using an automated software (MDoffice, MDO) process that captures and processes these data and submits the information in a standardized format. A validation of the billing reported treatment was performed using data from 3 community oncology practices. Results: The accuracy of treatment data captured was 100 percent for both chemotherapy and radiation therapy among the 313 cases validated. Chemotherapy (36 percent and 5 percent respectively for solid tumors and hematologic cancers) and radiation therapy (46 percent and 20 percent respectively for solid tumors and hematologic cancers) information was added to 738 known incident cases using billing data. Conclusion: Automated reporting based on billing data from community specialty providers is likely to markedly enhance the completeness of treatment data among known cancer cases as these community providers render significant amounts of treatment for cancer patients.
    Journal of registry management. 01/2014; 41(2):57-64.
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    ABSTRACT: Enrolling adequate numbers of patients that meet protocol eligibility criteria in a timely manner is critical, yet clinical trial accrual continues to be problematic. One approach to meet these accrual challenges is to utilize technology to automatically screen patients for clinical trial eligibility. This manuscript reports on the evaluation of different automated approaches to determine the metastatic status from unstructured radiology reports using the Clinical Trials Eligibility Database Integrated System (CTED). The study sample included all patients (N = 5,523) with radiologic diagnostic studies (N = 10,492) completed in a two-week period. Eight search algorithms (queries) within CTED were developed and applied to radiology reports. The performance of each algorithm was compared to a reference standard which consisted of a physician's review of the radiology reports. Sensitivity, specificity, positive, and negative predicted values were calculated for each algorithm. The number of patients identified by each algorithm varied from 187 to 330 and the number of true positive cases confirmed by physician review ranged from 171 to 199 across the algorithms. The best performing algorithm had sensitivity 94%, specificity 100%, positive predictive value 90%, negative predictive value 100%, and accuracy of 99%. Our evaluation process identified the optimal method for rapid identification of patients with metastatic disease through automated screening of unstructured radiology reports. The methods developed using the CTED system could be readily implemented at other institutions to enhance the efficiency of research staff in the clinical trials eligibility screening process.
    Experimental Biology and Medicine 10/2013; · 2.80 Impact Factor
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    ABSTRACT: Determining eligibility for a clinical trial (CT) typically requires a lengthy manual review of data for a single evaluation. The cost associated with eligibility screening is typically not compensated through contracts supporting CTs. We used a real-time tracking system that captures CT evaluations and provides information on evaluation outcomes and time spent on each eligibility screening by research staff. Using these data, we describe the effort and costs of eligibility screening overall and per enrolled patient for cancer CTs. The study sample included all completed eligibility assessment (evaluation) records for the 18-month study period. We used generalized multinomial modeling to predict evaluation outcomes and then used the resulting parameter coefficients to estimate the effort associated with each participant, adjusted for probability of being enrolled. From these data, we calculated cost associated with eligibility screening. We found substantial variation in attributed cost by study type and phase. The cost of eligibility screening ranged by study phase from $129.15 to $336.48 per enrolled patient. The estimated annual cost of screening was more than $90,000. This study provides results based on prospectively captured effort to estimate the largely nonreimbursed costs of eligibility screening and suggests that screening can be a significant financial burden to an institution. Centers performing CTs may need to acknowledge the differences in screening costs for different study types when negotiating contracts with funding organizations. Information such as that captured here could support such negotiations to reduce the gap between reimbursed and nonreimbursed costs.
    Journal of Oncology Practice 11/2012; 8(6):365-370.
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    ABSTRACT: BACKGROUND: Clinical trials (CTs) are the mechanism by which research is translated into standards of care. Low recruitment among underserved and minority populations may result in inequity in access to the latest technology and treatments, compromise the generalizability, and lead to failure in identification of important positive or negative treatment effects among under-represented populations. METHODS: Data were collected over a 39-month period on patient eligibility for available therapeutic cancer CTs. Reasons for ineligibility and refusal were collected. The data were captured using an automated software tool for tracking eligibility pre-enrollment. We examined characteristics associated with being evaluated for a trial, and reasons for ineligibility and refusal, overall and by patient race. RESULTS: African-Americans (AAs) were more likely than Whites to be ineligible (odds ratio, (OR) = 1.26, 95% confidence interval (CI) = 1.0-1.58) and if eligible, to refuse participation (OR = 1.79, 95% CI = 1.27-2.52), even after adjusting for insurance, age, gender, study phase, and cancer type. White patients were more likely to be ineligible due to study-specific or cancer characteristics. AAs were more likely to be ineligible due to mental status or perceived noncompliance. Whites were more likely to refuse due to extra burden, due to concerns with randomization and toxicity, or because they express a positive treatment preference. AAs were more likely to refuse because they were not interested in CTs, because of family pressures, or they felt overwhelmed (NS)).Discussion This study is the first to directly compare ineligibility and refusal rates and reasons captured prospectively in AA and White cancer patients. The data are consistent with earlier studies that indicated that AA patients more often are deemed ineligible and, when eligible, more often refuse participation. However, differences in reasons for ineligibility and refusal by race have implications for a cancer center to participate in CTs appropriate for the population of patients served. On a broader scale, consideration should be given to modifying eligibility criteria and other design aspects to permit broader participation of minority and other underserved groups. Clinical Trials 2012; 0: 1-10. http://ctj.sagepub.com.
    Clinical Trials 10/2012; · 2.20 Impact Factor
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    ABSTRACT: Reporting of hematologic malignancies is an increasingly important focus for cancer surveillance. As trends in cancer care are shifting to the outpatient setting, hospital-based data collection methods used for cancer surveillance will result in under-reporting of these cancers. This study describes the testing and validation of an automated system for capturing and reporting cancers from community oncology providers. The system was evaluated in 5 oncology practices in two states processing claims data for a 4- or 8-month interval. Resulting cancers were matched with the state registries. A random sample of nonmatched cases was reabstracted to measure the accuracy of the claims data for reporting of hematologic malignancies. The overall match rate for the 1,935 hematologic malignancies reported during the study period was 58.2 % (range, 37.4 % for CLL to 71.2 % for Hodgkin's Lymphoma). The overall accuracy rate for billing-reported hematologic malignancies was 95 %. Accuracy among cases that did not match with the cancer registry was 88 %. The estimated number of missed cases for the five participating practices ranged from 0.8 leukemia cases/oncologist/year to 3.4 CLL cases/oncologist/year. The estimated total number of missed cases in the five participating practices was 292 with an interquartile range of 263-323. As cancer diagnosis and treatment continue migration into ambulatory physician practice settings unreported hematopoietic cases will become increasingly problematic. Leveraging the standardized electronic billing data for automated reporting of cancer cases from physician practices may be an efficient method to reduce this gap in cancer surveillance reporting.
    Cancer Causes and Control 06/2012; 23(8):1253-64. · 3.20 Impact Factor
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    ABSTRACT: Research on pressing health services and policy issues requires access to complete, accurate, and timely patient and organizational data. This paper describes how administrative and health records (including electronic medical records) can be linked for comparative effectiveness and health services research. We categorize the major agents (i.e., who owns and controls data and who carries out the data linkage) into three areas: (1) individual investigators; (2) government sponsored linked data bases; and (3) public-private partnerships that facilitate linkage of data owned by private organizations. We describe challenges that may be encountered in the linkage process, and the benefits of combining secondary databases with primary qualitative and quantitative sources. We use cancer care research to illustrate our points. To fill the gaps in the existing data infrastructure, additional steps are required to foster collaboration among institutions, researchers, and public and private components of the health care sector. Without such effort, independent researchers, governmental agencies, and nonprofit organizations are likely to continue building upon a fragmented and costly system with limited access. Discussion. Without the development and support for emerging information technologies across multiple health care settings, the potential for data collected for clinical and transactional purposes to benefit the research community and, ultimately, the patient population may go unrealized. The current environment is characterized by budget and technical challenges, but investments in data infrastructure are arguably cost-effective given the need to reform our health care system and to monitor the impact of health reform initiatives.
    Health Services Research 10/2010; 45(5 Pt 2):1468-88. · 2.29 Impact Factor
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    L Penberthy, R F Brown, F Puma, B Dahman
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    ABSTRACT: Clinical trials (CT) serve as the media that translates clinical research into standards of care. Low or slow recruitment leads to delays in delivery of new therapies to the public. Determination of eligibility in all patients is one of the most important factors to assure unbiased results from the clinical trials process and represents the first step in addressing the issue of under representation and equal access to clinical trials. This is a pilot project evaluating the efficiency, flexibility, and generalizibility of an automated clinical trials eligibility screening tool across 5 different clinical trials and clinical trial scenarios. There was a substantial total savings during the study period in research staff time spent in evaluating patients for eligibility ranging from 165h to 1329h. There was a marked enhancement in efficiency with the automated system for all but one study in the pilot. The ratio of mean staff time required per eligible patient identified ranged from 0.8 to 19.4 for the manual versus the automated process. The results of this study demonstrate that automation offers an opportunity to reduce the burden of the manual processes required for CT eligibility screening and to assure that all patients have an opportunity to be evaluated for participation in clinical trials as appropriate. The automated process greatly reduces the time spent on eligibility screening compared with the traditional manual process by effectively transferring the load of the eligibility assessment process to the computer.
    Contemporary clinical trials 03/2010; 31(3):207-17. · 1.51 Impact Factor
  • Lynne T Penberthy, Donna McClish, Pamela Agovino
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    ABSTRACT: Urologic cancers represent a substantial proportion of the total cancer burden, yet the true burden of these cancers is unknown due to gaps in current cancer surveillance systems. Prostate and bladder cancers in particular may be underreported due to increased availability of outpatient care. Thus, there is a critical need to develop systems to completely and accurately capture longitudinal data to understand the true patterns of care and outcomes for these cancers. We determined the accuracy and impact of automated software to capture and process billing data to supplement reporting of cancers diagnosed and treated in a large community urology practice. From these data, we estimated numbers of unreported cancers for an actively reporting and for a non-reporting practice and the associated impact for a central cancer registry. The software automatically processed billing data representing 26,133 visits for 15,495 patients in the 3.5-month study period. Of these, 2,275 patients had a cancer diagnosis and 87.2% of these matched with a central registry case. The estimated annual number of prostate and bladder cancers remaining unreported from this practice was 158. If the practice were not actively reporting, the unreported cases were estimated at 1,111, representing an increase of 12% to the registry. Treatments added from billing varied by treatment type with the largest proportion of added treatments for biologic response modifiers (BRMs) (127%-166%) and chemotherapy (22%). Automated processing of billing data from community urology practices offers an opportunity to enhance capture of missing prostate and bladder cancer surveillance data with minimal effort to a urology practice. Broader implementation of automated reporting could have a major impact nationally considering the more than 12,000 practicing urologists listed as members of the American Urological Association.
    J Registry Manag 01/2010; 37(4):141-7.
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    ABSTRACT: Treatment options for sickle cell disease (SCD) pain could be tailored to pain locations. But few epidemiologic descriptions of SCD pain location exist; these are based on few subjects over short time periods. We examined whether SCD pain locations vary by disease genotype, gender, age, frequency of pain, depression, pain crisis or healthcare utilization. We enrolled 308 adults with SCD in 2002-2004. Subjects kept daily pain diaries for up to 6months, including a body chart. Mixed model and generalized estimating equations were employed for analyses. Two hundred and sixty subjects completed at least one body chart. An average of 3.3/16 sites (25%) were painful. The number of pain sites varied by age, depression, frequent pain days, crisis and unplanned hospital/ED utilization. Lower back, knee/shin and hip, hurt on average more than a third of pain days, while jaw and pelvis hurt on fewer than 10% of days. Odds of a crisis were increased substantially when pain was in the arm, shoulder, upper back, sternum, clavicle, chest or pelvis (OR>1.5) while the odds of unplanned utilization were substantially increased for the sternum, clavicle and chest (OR>2.0). Pain in SCD varies considerably both within and between subjects, although it occurs most commonly in the lower back and lower extremities. The number and location of pain sites vary significantly by age, frequent pain, crisis and utilization. Identification and understanding of combinations of pain location and intensity may help to understand the etiology of SCD and improve SCD management.
    Pain 07/2009; 145(1-2):246-51. · 5.64 Impact Factor
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    ABSTRACT: This is a pilot study designed to identify gene expression profiles able to stratify head and neck squamous cell carcinoma (HNSCC) tumors that may or may not respond to chemoradiation or radiation therapy. We prospectively evaluated 14 HNSCC specimens, arising from patients undergoing chemoradiotherapy or radiotherapy alone with curative intent. A complete response was assessed by clinical evaluation with no evidence of gross tumor after a 2-year follow-up period. Residual biopsy samples from eight complete responders (CR) and six nonresponders (NR) were evaluated by genome-wide gene expression profiling using HG-U133A 2.0 arrays. Univariate parametric t-tests with proportion of false discoveries controlled by multivariate permutation tests were used to identify genes with significantly different gene expression levels between CR and NR cases. Six different prediction algorithms were used to build gene predictor lists. Three representative genes showing 100% crossvalidation support after leave-one-out crossvalidation (LOOCV) were further validated using real-time QRT-PCR. We identified 167 significant probe sets that discriminate between the two classes, which were used to build gene predictor lists. Thus, 142 probe sets showed an accuracy of prediction ranging from 93% to 100% across all six prediction algorithms. The genes represented by these 142 probe sets were further classified into different functional networks that included cellular development, cellular movement, and cancer. The results presented herein offer encouraging preliminary data that may provide a basis for a more precise prognosis of HNSCC, as well as a molecular-based therapy decision for the management of these cancers.
    The Laryngoscope 01/2009; 119(1):91-101. · 1.98 Impact Factor
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    ABSTRACT: Patients with sickle cell disease often receive a substantial amount of their health care in the emergency department (ED) and some come to the ED frequently, seeking treatment for pain. As a result, patients with sickle cell disease are often stigmatized as opioid-seeking ED overutilizers. We describe the proportion of sickle cell disease patients who are high utilizers of the ED and compare them with other sickle cell disease patients on demographics, pain characteristics, health data, psychosocial characteristics, and quality of life. Two hundred thirty-two patients completed baseline data and at least 30 days of daily diary data. Baseline data included demographics, health data, and quality of life (Medical Outcome Study 36 Item Short Form). Daily diary data included ED utilization for sickle cell pain and descriptors of pain and distress. Eighty-two (35.5%) patients were found to be high ED utilizers. Clinically important and statistically significant differences were found between high ED utilizers and all other sickle cell disease patients: lower hematocrit level, more transfusions, more pain days, more pain crises, higher mean pain and distress, and worse quality of life on Medical Outcome Study 36 Item Short Form physical function summary scales. After controlling for severity and frequency of pain, high ED utilizers did not use opioids more frequently than other sickle cell disease patients. A substantial minority of sickle cell disease patients are high ED utilizers. However, high ED utilizers with sickle cell disease are more severely ill as measured by laboratory variables, have more pain, more distress, and have a lower quality of life.
    Annals of emergency medicine 11/2008; 53(5):587-93. · 4.23 Impact Factor
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    ABSTRACT: Depression and anxiety are common in sickle cell disease (SCD) but relatively little is known about their impact on SCD adults. This study measured prevalence of depression and anxiety in SCD adults, and their effects on crisis and noncrisis pain, quality-of-life, opioid usage, and healthcare utilization. The Pain in Sickle Cell Epidemiology Study is a prospective cohort study in 308 SCD adults. Baseline variables included demographics, genotype, laboratory data, health-related quality-of-life, depression, and anxiety. Subjects completed daily diaries for up to 6 months, reporting sickle cell pain intensity, distress, interference, whether they were in a sickle cell crisis, as well as health care and opioid utilization. Two hundred thirty-two subjects who completed at least 1 month of diaries were studied; 27.6% were depressed and 6.5% had any anxiety disorder. Depressed subjects had pain on significantly more days than nondepressed subjects (mean pain days 71.1% versus 49.6%, p < .001). When in pain on noncrisis days, depressed subjects had higher mean pain, distress from pain, and interference from pain. Both depressed and anxious subjects had poorer functioning on all eight SF-36 subscales, even after controlling for demographics, hemoglobin type, and pain. The anxious subjects had more pain, distress from pain, and interference from pain, both on noncrisis pain days and on crisis days, and used opioids more often. Depression and anxiety predicted more daily pain and poorer physical and mental quality-of-life in adults with SCD, and accounted for more of the variance in all domains of quality-of-life than hemoglobin type.
    Psychosomatic Medicine 03/2008; 70(2):192-6. · 4.08 Impact Factor
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    ABSTRACT: Researchers of sickle cell disease have traditionally used health care utilization as a proxy for pain and underlying vaso-occlusion. However, utilization may not completely reflect the amount of self-reported pain or acute, painful episodes (crises). To examine the prevalence of self-reported pain and the relationship among pain, crises, and utilization in adults with sickle cell disease. Prospective cohort study. Academic and community practices in Virginia. 232 patients age 16 years or older with sickle cell disease. Patients completed a daily diary for up to 6 months, recording their maximum pain (on a scale of 0 to 9); whether they were in a crisis (crisis day); and whether they used hospital, emergency, or unscheduled ambulatory care for pain on the previous day (utilization day). Summary measures included both simple proportions and adjusted probabilities (for repeated measures within patients) of pain days, crisis days, and utilization days, as well as mean pain intensity. Pain (with or without crisis or utilization of care) was reported on 54.5% of 31 017 analyzed patient-days (adjusted probability, 56%). Crises without utilization were reported on 12.7% of days and utilization on only 3.5% (unadjusted). In total, 29.3% of patients reported pain in greater than 95% of diary days, whereas only 14.2% reported pain in 5% or fewer diary days (adjusted). The frequency of home opiate use varied and independently predicted pain, crises, and utilization. Mean pain intensity on crisis days, noncrisis pain days, and total pain days increased as the percentage of pain days increased (P < 0.001). Intensity was significantly higher on utilization days (P < 0.001). However, utilization was not an independent predictor of crisis, after controlling for pain intensity. The study was done in a single state. Patients did not always send in their diaries. Pain in adults with sickle cell disease is the rule rather than the exception and is far more prevalent and severe than previous large-scale studies have portrayed. It is mostly managed at home; therefore, its prevalence is probably underestimated by health care providers, resulting in misclassification, distorted communication, and undertreatment.
    Annals of internal medicine 01/2008; 148(2):94-101. · 13.98 Impact Factor
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    ABSTRACT: In several types of chronic pain, catastrophizing has been related to higher pain intensity, and health care utilization but it has not been explored extensively in sickle cell disease (SCD). The objective of the study was to identify the role of catastrophizing in SCD, specifically in relation to painful crises, non-crisis pain, and responses to pain. Two hundred and twenty SCD adults were enrolled in a prospective cohort study of pain and completed between 30 and 188 daily diaries in 6 months. The Catastrophizing subscale (CAT) of the Coping Strategy Questionnaire (CSQ) was administered at baseline and at study exit. Depression and quality of life were measured by the Patient Health Questionnaire and SF-36, respectively, at baseline. The CAT mean was 13.6 (SD=8.4) and higher CAT was correlated with greater depression severity (r=0.48; p<0.001) and poorer quality of life in all domains (r=-0.24 to -0.47; p<0.001). There was no significance difference between CAT mean baseline and exit scores, and the measures were strongly correlated within patients (r=0.69; p<0.001). No difference was found between higher and lower catastrophizers in intensity of pain, distress, interference, and health service utilization, both on crisis or non-crisis SCD-related pain days, after controlling for depression. Adults with SCD had a higher mean catastrophizing score than found in studies of other chronic pain conditions that are not lifelong and life-threatening. CAT scores were not correlated with pain parameters or utilization. The role of catastrophizing in other conditions cannot be generalized to SCD.
    Pain 12/2007; 133(1-3):39-46. · 5.64 Impact Factor
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    ABSTRACT: Sickle cell disease (SCD) patients can receive their ambulatory care from either SCD specialists (caregivers with sickle cell-only clinics) or nonspecialized care centers. Patient satisfaction, an important factor that may influence compliance and outcome, can differ between the two groups because of the perceived quality of care, outcomes or practice style. We administered a patient satisfaction survey to 308 participants in an SCD prospective cohort study. Of the 308 patients, 133 (43.2%) received the majority of their SCD care at specialized centers, 152 (49.3%) received their care from nonspecialized centers and 26 (7.5) did not provide information. The satisfaction surveys measured general satisfaction (GS), technical quality (TQ), interpersonal manner (IM), communication (CM), financial aspects (FA), time spent with doctor (TA), and accessibility and convenience (AC). Patients reported their levels of satisfaction using a five-point Likert scale. We compared unadjusted group means, as well as means adjusted for potential confounders such as marital status, on patient satisfaction between specialized and nonspecialized centers. SCD patients who received their care from specialized centers had significantly higher mean satisfaction scores, compared to those who received their care from nonspecialized centers: GS 4.00(+/-0.93) vs. 3.66 (+/- 01.16, p=0.0326), TQ 3.98 (+/- 0.77) vs. 3.65 (+/- 0.91, p=0.0058), AC 3.83 (+/-0.79) vs. 3.51 (+/- 1.02, p=0.0142) , FA 3.88 (+/-0.96) vs. 3.49 (+/-1.25, p=0.0120). There were no statistically significant group differences in IM, TA and CM. SCD patients who received most of their SCD care from specialized centers had somewhat higher satisfaction scores in some areas when compared with patients who received their care from nonspecialized centers.
    Journal of the National Medical Association 09/2007; 99(8):886-90. · 0.91 Impact Factor
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    ABSTRACT: Alcohol abuse is common in patients with chronic painful medical disorders, but it has not been studied in sickle cell disease (SCD). In a prospective cohort study of SCD adults, 31.4% were identified as abusing alcohol. There were no significant differences between alcohol abusers and nonabusers on demographics, biological variables, depression, anxiety, measures of crisis and noncrisis pain, or opioid use, but abusers reported more pain relief from opioids than nonabusers did. Alcohol abusers had fewer unscheduled clinic visits, emergency room visits, hospital days, and any health care utilization for SCD, but this was only significant for emergency room visits. Quality of life was similar between both groups, except that alcohol abusers unexpectedly had better overall physical summary scores. Alcohol abusers were more likely to report coping by ignoring pain, diverting attention, and using particular self-statements.
    American Journal on Addictions 01/2007; 16(5):383-8. · 1.74 Impact Factor
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    ABSTRACT: Purpose – The purpose of the paper is to examine the evidence behind breast self examination recommendations. Design/methodology/approach – In this paper the recommendations of various professional and specialty organizations are reviewed along with an analysis of the randomized controlled trials that provided data for these recommendations. Methodological issues regarding these trials and the conclusions that can be drawn are evaluated and presented here. Findings – The paper finds that the current evidence is not sufficient to make recommendations to western women for or against breast self-examination. Practical implications – The paper implies that breast cancer is a leading cause of morbidity and mortality in women in the USA. Originality/value – The paper shows that, while mammography and clinical breast examination remain the standard of care in screening for breast cancer, much controversy has surrounded recommendations for breast self-examination in breast cancer screening.
    Clinical Governance An International Journal 06/2006; 11(3):225-233.
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    ABSTRACT: Many studies have found gender differences in frequency and intensity of pain. Women often report lower pain thresholds, higher pain ratings, and lower tolerance for pain. People with sickle cell disease (SCD) experience both chronic and acute pain throughout life. To compare adult men and women with SCD in terms of reported pain, crises, healthcare utilization, and opioid usage. Methods: Two hundred twenty-six adults with SCD in Virginia were enrolled in a prospective cohort study of pain and completed daily diaries for 1-6 months. Subjects reported for the previous day their maximum SCD-related pain, distress, and interference (0-9 scale), whether they were in a sickle cell crisis, had unplanned utilization (clinic, emergency room, or hospitalization), or used opioids. Episodes of pain, crisis, or utilization were defined as consecutive days of such. Men and women were compared, using analysis of covariance (ANCOVA), controlling for age, SCD genotype, depression, and education. There were no significant differences between men and women in the percentage of days subjects experienced pain (men 58.6% vs. women 56.5%) or the number of pain episodes/6 months (7.7 vs. 9.6). Mean pain scores were comparable, when subjects were in crisis (5.5 vs. 5.6) or not (2.5 vs. 2.2). Distress and interference results were similar. Men with the SS genotype reported a higher percentage of days with crisis(18.5% vs. 11.6%) and utilization (5.1% vs. 2.7%) than women with the SS genotype. Contrary to many studies of pain, particularly chronic pain, men and women with SCD reported generally similar pain experiences.
    Journal of Women s Health 04/2006; 15(2):146-54. · 1.42 Impact Factor
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    ABSTRACT: As cancer diagnosis and treatment has moved to the outpatient healthcare setting, traditional cancer surveillance tools are less effective for complete and unbiased capture of incident cases. This study evaluates the potential for Medicare data to supplement cancer surveillance in a unique manner by using a standard that is independent of a central cancer registry. State cancer registry records were matched with Medicare data. Case validation included inpatient record abstraction combined with a mail/telephone survey of treating physicians. The positive predictive value (PPV), sensitivity (capture rate), and potential additional cases were calculated for 6 Medicare claims-based case definitions. The PPV varied according to cancer site and definition, ranging from 70%-97% (prostate) to 87%-98% (breast). Sensitivity varied inversely with PPV, ranging from 51%-94% (breast) to 10%-88% (lung). The most important factors that predicted being missed by the registry were having no admission to an ACOS-certified hospital and no surgical treatment. Medicare data represent a valid resource for supplementing state cancer registries in surveillance efforts. This potential is especially applicable to cancers predominantly diagnosed and treated outside the hospital setting.
    Medical Care 08/2005; 43(7):705-12. · 3.23 Impact Factor
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    ABSTRACT: Until recent decades, sickle cell disease (SCD) was associated with recurrent, disabling pain, organ failure and death in childhood or early adulthood. SCD treatment advances have now decreased pain and prolonged survival, but episodic or chronic pain may still require substantial analgesic use and frequent hospitalization for pain episodes. This pain is poorly characterized and often poorly treated. Adult patients may face barriers to comprehensive SCD care, stigmatization of their care-seeking behavior by providers and lack of family support, forcing them into maladaptive coping strategies. The Pain in Sickle Cell Epidemiology Study (PiSCES) attempts to develop and validate a biopsychosocial model of SCD pain, pain response and healthcare utilization in a large, multisite adult cohort. PiSCES participants complete a baseline survey and six months of daily pain diaries in which they record levels of SCD-related pain and related disability and distress as well as responses to pain (e.g., medication use, hospital visits). PiSCES will advance methods of measuring pain and pain response in SCD by better describing home-managed as well as provider-managed pain. PiSCES will assess the relative contributions of biological (disease-related), psychosocial and environmental (readiness to utilize) factors to overall pain and pain response in SCD, suggesting targets for biobehavioral interventions over time. Importantly, PiSCES will also identify "triggers" of SCD pain episodes and healthcare utilization in the moment of pain, suggesting targets for timely care that mutes pain episodes.
    Journal of the National Medical Association 03/2005; 97(2):183-93. · 0.91 Impact Factor

Publication Stats

2k Citations
196.40 Total Impact Points

Institutions

  • 1998–2012
    • Virginia Commonwealth University
      • • Massey Cancer Center
      • • Department of Psychiatry
      • • Department of Biostatistics
      • • Department of Internal Medicine
      Richmond, VA, United States
    • Richmond VA Medical Center
      Richmond, Virginia, United States
  • 2000
    • Johns Hopkins Medicine
      • Department of Epidemiology
      Baltimore, MD, United States