A Four-Phase Model of Transdisciplinary Team-Based Research: Goals, Team Processes, and Strategies

The complexity of social and public health challenges has led to burgeoning interest and investments in cross-disciplinary team-based research, and particularly in transdisciplinary (TD) team-based research. TD research aims to integrate and ultimately extend beyond discipline-specific concepts, approaches, and methods to accelerate innovations and progress toward solving complex real-world problems. While TD research offers the promise of novel, wide-reaching and important discoveries, it also introduces unique challenges. In particular, today's investigators are generally trained in unidisciplinary approaches, and may have little training in, or exposure to, the scientific skills and team processes necessary to collaborate successfully in teams of colleagues from widely disparate disciplines and fields. Yet these skills are essential to maximize the efficiency and effectiveness of TD team-based research. In the current article we propose a model of TD team-based research that includes four relatively distinct phases: development, conceptualization, implementation, and translation. Drawing on the science of team science (SciTS) field, as well as the findings from previous research on group dynamics and organizational behavior, we identify key scientific goals and team processes that occur in each phase and across multiple phases. We then provide real-world exemplars for each phase that highlight strategies for successfully meeting the goals and engaging in the team processes that are hallmarks of that phase. We conclude by discussing the relevance of the model for TD team-based research initiatives, funding to support these initiatives, and future empirical research that aims to better understand the processes and outcomes of TD team-based research.

Applying what we know to accelerate cancer prevention

More than half of the cancer occurring today is preventable by applying knowledge that we already have. Tobacco, obesity, and physical inactivity are the modifiable causes of cancer that generate the most disease. Cancer burden can be reduced by alterations in individual and population behaviors and by public health efforts as long as these changes are driven by sound scientific knowledge and social commitment to change. The obstacles to these efforts are societal and arise from the organization of institutions, including academia, and in the habits of daily life. To achieve maximal possible cancer prevention, we will need better ways to implement what we know and improved infrastructure that will better incentivize and support transdisciplinary, multilevel research and successful intervention.

Race and the prognostic influence of p53 in women with breast cancer

BACKGROUND

Prior study suggests that p53 status behaves as an independent marker of prognosis in African American (AA) women with breast cancer. We investigate whether the influence of p53 is unique to AAs or is present in other race/ethnic groups, and how this compares with known prognostic factors.

METHODS

Cox regression models [hazard ratios (HRs), 95% confidence intervals (CIs)] were used to select and evaluate factors prognostic for all-cause mortality in 331 AA and 203 non-AA consecutively treated women.

RESULTS

Statistically significant baseline prognostic factors were as follows. For AAs: stage [(III/I) HR 5.57; 95% CI 3.08-10.09], grade [(higher/low) HR 1.55; 95% CI 1.14-2.11], estrogen receptor (ER)/progesterone receptor (PR) status [(-/+) HR 2.01; 95% CI 1.38-2.93], triple negative (ER-, PR-, HER2-) subtype [(+/-) HR 1.95; 95% CI 1.33-2.85], and p53 status [(+/-) HR 1.69; 95% CI 1.10-2.58]. For non-AAs: stage [HR 11.93; 95% CI 2.80-50.84], grade [HR 1.61; 95% CI 0.96-2.71], and ER/PR status [HR 2.13; 95% CI 1.19-3.81]. There was a differential effect of race within p53 groups (P=0.05) and in multivariate modeling p53-positive status remained an adverse prognostic factor in AAs only [HR 1.82; 95% CI 1.04-3.17]. Compared to non-AAs, 5-year unadjusted survival was worse for AAs overall (73.4% vs. 63.6%; P=0.032), and also for AAs with p53-positive status (80.3% vs. 54.2%; P=0.016), but not for AAs with p53-negative disease (68.4% vs. 67.9%; P=0.81).

CONCLUSIONS

Among women with breast cancer of different race/ethnicity, an adverse prognostic effect as a result of p53 positivity was only observed in AA women.

Chicago team explores links of environment and biology

Scientists across disciplines collaborate to discover why mortality from breast cancer is higher among African Americans.

Cancer disparities: unmet challenges in the elimination of disparities

BACKGROUND

The first 20 years of publication of Cancer Epidemiology, Biomarkers & Prevention occurred during a period of increased attention to health disparities and advances in knowledge about their determinants. Yet, despite clear documentation of disparities and advanced understanding of determinants, we have made little headway in reducing disparities at the population level. Multilevel models, such as one produced by the Centers for Population Health and Health Disparities (CPHHD), hold promise for understanding the complex determinants of cancer disparities and their interactions as well as translating scientific discoveries into solutions. The CPHHD model maps across a range of scientific disciplines, from the biological to the social, each with its own disciplinary language and methods. The ability to work effectively across disciplinary boundaries is essential to framing comprehensive solutions.

METHODS

After briefly characterizing the current state of knowledge about health disparities, we outline three major challenges faced by disparities researchers and practitioners and offer suggestions for addressing these challenges.

RESULTS

These challenges are how to consider race and ethnicity in disparities research, how best to translate discoveries into public health solutions to cancer disparities, and how to create a research environment that supports the successful execution of multilevel research.

CONCLUSIONS

Attention to all three of the challenges outlined above is urgently needed to advance our efforts to eliminate cancer disparities.

IMPACT

Addressing the challenges outlined above will help to eliminate disparities in the future.

Using community-based participatory research to ameliorate cancer disparities

Although much attention has been paid to health disparities in the past decades, interventions to ameliorate disparities have been largely unsuccessful. One reason is that the interventions have not been culturally tailored to the disparity populations whose problems they are meant to address. Community-engaged research has been successful in improving the outcomes of racial and ethnic minority groups and thus has great potential for decreasing between-group health disparities. In this article, the authors argue that a type of community-engaged research, community-based participatory research (CBPR), is particularly useful for social workers doing health disparities research because of its flexibility and degree of community engagement. After providing an overview of community research, the authors define the parameters of CBPR, using their own work in African American and white disparities in breast cancer mortality as an example of its application. Next, they outline the inherent challenges of CBPR to academic and community partnerships. The authors end with suggestions for developing and maintaining successful community and academic partnerships.

The importance of transdisciplinary collaborations for understanding and resolving health disparities

Group disparities in health have been documented for several decades. Despite recent efforts to eliminate them, group differences persist and challenge the ability of scientists to address them using traditional research paradigms. Because the determinants of disparities occur at multiple levels, from the molecular to the societal, and interact with one another in ways not yet fully understood, they represent a challenge to researchers attempting to capture their complexity. After reviewing existing models of disciplinary collaboration, we outline the challenges of a transdisciplinary approach and its ability to afford the holistic view of disparities needed to develop effective interventions.

Human subjects protections in community-engaged research: a research ethics framework

In the 30 years since the Belmont Report, the role of the community in research has evolved and has taken on greater moral significance. Today, more and more translational research is being performed with the active engagement of individuals and communities rather than merely upon them. This engagement requires a critical examination of the range of risks that may arise when communities become partners in research. In attempting to provide such an examination, one must distinguish between established communities (groups that have their own organizational structure and leadership and exist regardless of the research) and unstructured groups (groups that may exist because of a shared trait but do not have defined leadership or internal cohesiveness). In order to participate in research as a community, unstructured groups must develop structure either by external means (by partnering with a Community-Based Organization) or by internal means (by empowering the group to organize and establish structure and leadership). When groups participate in research, one must consider risks to well-being due to process and outcomes. These risks may occur to the individual qua individual, but there are also risks that occur to the individual qua member of a group and also risks that occur to the group qua group. There are also risks to agency, both to the individual and the group. A 3-by-3 grid including 3 categories of risks (risks to well-being secondary to process, risks to well-being secondary to outcome and risks to agency) must be evaluated against the 3 distinct agents: individuals as individual participants, individuals as members of a group (both as participants and as nonparticipants) and to communities as a whole. This new framework for exploring the risks in community-engaged research can help academic researchers and community partners ensure the mutual respect that community-engaged research requires.

Nine key functions for a human subjects protection program for community-engaged research: points to consider

The ethical conduct of Community-Engaged Research (CEnR), of which the Community-Based Participatory Research (CBPR) model is the partnership model most widely discussed in the CEnR literature and is the primary model we draw upon in this discussion, requires an integrated and comprehensive human subjects protection (HSP) program that addresses the additional concerns salient to CEnR where members of a community are both research partners and participants. As delineated in the federal regulations, the backbone of a HSP program is the fulfillment of nine functions: (1) minimize risks; (2) reasonable benefit-risk ratio; (3) fair subject selection; (4) adequate monitoring; (5) informed consent; (6) privacy and confidentiality; (7) conflicts of interest; (8) address vulnerabilities; and (9) HSP training. The federal regulations, however, do not consider the risks and harms that may occur to groups, and these risks have not traditionally been included in the benefit: risk analysis nor have they been incorporated into an HSP framework. We explore additional HSP issues raised by CEnR within these nine ethical functions. Various entities exist that can provide HSP---the investigator, the Institutional Review Board, the Conflict of Interest Committee, the Research Ethics Consultation program, the Research Subject Advocacy program, the Data and Safety Monitoring Plan, and the Community Advisory Board. Protection is best achieved if these entities are coordinated to ensure that no gaps exist, to minimize unnecessary redundancy, and to provide checks and balances between the different entities of HSP and the nine functions that they must realize. The document is structured to provide a "points-to-consider" roadmap for HSP entities to help them adequately address the nine key functions necessary to provide adequate protection of individuals and communities in CEnR.

Human subjects protections in community-engaged research: a research ethics framework

In the 30 years since the Belmont Report, the role of the community in research has evolved and has taken on greater moral significance. Today, more and more translational research is being performed with the active engagement of individuals and communities rather than merely upon them. This engagement requires a critical examination of the range of risks that may arise when communities become partners in research. In attempting to provide such an examination, one must distinguish between established communities (groups that have their own organizational structure and leadership and exist regardless of the research) and unstructured groups (groups that may exist because of a shared trait but do not have defined leadership or internal cohesiveness). In order to participate in research as a community, unstructured groups must develop structure either by external means (by partnering with a Community-Based Organization) or by internal means (by empowering the group to organize and establish structure and leadership). When groups participate in research, one must consider risks to well-being due to process and outcomes. These risks may occur to the individual qua individual, but there are also risks that occur to the individual qua member of a group and also risks that occur to the group qua group. There are also risks to agency, both to the individual and the group. A 3-by-3 grid including 3 categories of risks (risks to well-being secondary to process, risks to well-being secondary to outcome and risks to agency) must be evaluated against the 3 distinct agents: individuals as individual participants, individuals as members of a group (both as participants and as nonparticipants) and to communities as a whole. This new framework for exploring the risks in community-engaged research can help academic researchers and community partners ensure the mutual respect that community-engaged research requires.

The challenges of collaboration for academic and community partners in a research partnership: points to consider

The philosophical underpinning of Community-Engaged Research (CEnR) entails a collaborative partnership between academic researchers and the community. The Community-Based Participatory Research (CBPR) model is the partnership model most widely discussed in the CEnR literature and is the primary model we draw upon in this discussion of the collaboration between academic researchers and the community. In CPBR, the goal is for community partners to have equal authority and responsibility with the academic research team, and that the partners engage in respectful negotiation both before the research begins and throughout the research process to ensure that the concerns, interests, and needs of each party are addressed. The negotiation of a fair, successful, and enduring partnership requires transparency and understanding of the different assets, skills and expertise that each party brings to the project. Delineating the expectations of both parties and documenting the terms of agreement in a memorandum of understanding or similar document may be very useful. This document is structured to provide a "points- to-consider" roadmap for academic and community research partners to establish and maintain a research partnership at each stage of the research process.

p53 as a marker of prognosis in African-American women with breast cancer

BACKGROUND

p53 overexpression has been identified as a poor prognostic marker in breast cancer. We investigate the value of p53 status within the context of stage and intrinsic subtype classification (subtype), in a group of African-American (AA) women of lower socioeconomic status (SES) with primary breast cancer.

METHODS

Participants were 331 consecutive AA women treated at an urban hospital (median follow-up 41 months) with known subtype [luminal A = estrogen receptor (ER)+ and/or progesterone receptor (PR)+, human epidermal growth factor receptor 2 (HER2)-; luminal B = ER+ and/or PR+, HER2+; HER2+ = ER-, PR-, HER2+; basal = ER-, PR-, HER2-, cytokeratin (CK)5/6+, and/or HER1+; and unclassified = negative for all five markers] and p53 (Pab1801 antibody) immunohistochemical status. Proportional hazards regression models were used to select and evaluate factors prognostic for all-cause mortality.

RESULTS

p53+ status was associated with grade 3 tumors, ER/PR- status, and basal subtype. On univariate analysis, factors related to survival were stage, grade [(3/1) hazard ratio (HR) = 2.64; 95% confidence interval (CI), 1.15-6.07], subtype [(ex. basal/luminal A) HR = 2.15; 95% CI, 1.34-3.45], and p53 status [(+/-) HR = 1.77; 95% CI, 1.15-2.72]. Multivariable modeling indicated that p53+ status remained a negative prognostic factor (HR = 1.63; 95% CI, 1.01-2.59) after adjustment for effects of age, stage, grade, and subtype; 5-year adjusted survival was significantly greater for p53- (66.7%) than p53+ cases (54.7%).

CONCLUSION

p53 status is an independent predictor of survival after consideration of other strong prognostic factors such as stage, tumor grade, and subtype, and thus may be useful in identifying AA women at high risk of breast cancer mortality.

p53 as a marker of prognosis in African American (AA) women with breast cancer

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Background: Prior reports suggest that p53 may be of prognostic value in AA women with breast cancer. However, it remains to be determined whether p53 status would add prognostic value beyond the commonly used factors of stage and Intrinsic Subtype Classification (subtype). We evaluated p53 status as a prognostic factor among AA women treated at an urban community hospital. Methods: Cox proportional hazards regression models [results reported as hazard ratios (HR) with 95% confidence intervals (CI)] were used to select and evaluate prognostic factors [including stage, age, tumor grade of differentiation (grade), p53 status, subtype, & ER/PR status] for all-cause mortality in 331 consecutively treated AA women with breast cancer [42 months follow-up] and known subtype [luminal A = ER+, &/or PR+, & HER2-; luminal B = ER+, &/or PR+, & HER2+; HER2+ = ER-, PR-, & HER2+; basal = ER-, PR-, HER2-, cytokeratin (CK) 5/6+ &/or HER1+; & unclassified = negative for all 5 markers] and p53 [Pab1801 antibody] immunohistochemical status. Results: Tumors in 28% of women were p53+ and there were no chemotherapy and radiation treatment differences according to p53 status. However, 59% of p53+ women were ER/PR negative [Odds Ratio (OR), 0.37; 95% CI, 0.22–0.54; p=0.0003] and hence endocrine therapy was significantly less frequent in p53+ women [OR, 0.40; 95% CI, 0.23–0.69; p=0.0008]. p53+ tumors were also significantly more likely to be grade 3 [OR, 4.35; CI, 1.33–14.14; p=0.013]. Baseline prognostic factors were: stage [(II-IV/I) HR, 2.29; 95% CI, 1.86–2.81; p<0.0001]; age [HR, 1.003 per year; 95% CI, 0.99–1.02; p=0.697]; grade [(high/low) HR, 1.70; 95% CI, 1.22–2.37; p=0.0008]; p53 status [(±) HR, 1.76; 95% CI, 1.15–2.72; p=0.012]; subtype [(all other/luminal A) HR, 1.33; 95% CI, 1.14–1.55; p=0.0004]; ER/PR status [(±) HR, 0.47; 95% CI, 0.32–0.69; p=0.0001]. Cox multivariable models indicated that p53 status [HR, 1.59; 95% CI, 1.01–2.51; p=0.044] remained a significant prognostic factor when considered with stage [HR, 2.20; 95% CI, 1.71–2.84; p<0.001] and subtype [HR, 1.24; 95% CI, 1.04–1.49; p=0.016] and the other above-mentioned factors. Conclusions: Study results indicate that p53 status should be included with stage and subtype as markers to assess prognosis in AA women with breast cancer.

No significant financial relationships to disclose.

Perceptions of breast cancer treatment among African-American women and men: implications for interventions

BACKGROUND

While breast cancer mortality has declined in recent years, the mortality gap between African-American and white women continues to grow. Current strategies to reduce this disparity focus on logistical and information needs, but contextual factors, such as concerns about racism and treatment side effects, may also represent significant barriers to improved outcomes.

OBJECTIVE

To characterize perceptions of breast cancer treatment among African-American women and men.

DESIGN

A qualitative study of African-American adults using focus group interviews.

PARTICIPANTS

Two hundred eighty women and 165 men who live in one of 15 contiguous neighborhoods on Chicago's South Side.

APPROACH

Transcripts were systematically analyzed using qualitative techniques to identify emergent themes related to breast cancer treatment.

RESULTS

The concerns expressed most frequently were mistrust of the medical establishment and federal government, the effect of racism and lack of health insurance on quality of care, the impact of treatment on intimate relationships, and the negative effects of surgery, radiation therapy, and chemotherapy.

CONCLUSIONS

In addition to providing logistical and information support, strategies to reduce the breast cancer mortality gap should also address contextual factors important to quality of care. Specific interventions are discussed, including strategies to enhance trust, reduce race-related treatment differences, minimize the impact of treatment on intimate relationships, and reduce negative perceptions of breast cancer surgery, radiation therapy, and chemotherapy.

The prevalence of premenstrual dysphoric disorder in a randomly selected group of urban and rural women

BACKGROUND

Premenstrual dysphoric disorder (PMDD) was included as a provisional diagnostic category in the appendices of Diagnostic and Statistical Manual of Mental Disorders (DSM)-III-R (then called late luteal phase dysphoric disorder) and remained as an appendix in DSM-IV. Our study aimed to determine the prevalence of PMDD using all four DSM-IV research diagnostic criteria in a representative sample of women of reproductive age in the United States.

METHOD

Data were collected in the homes of women between the ages of 13 and 55 years in two urban and two rural sites using a random sampling procedure developed by the National Opinion Research Center. Women completed daily symptom questionnaires and provided urine specimens each day for two consecutive ovulatory menstrual cycles (ovulation was estimated for women taking oral contraceptives) and were screened for psychiatric disorders by trained interviewers. Symptoms were counted toward a diagnosis of PMDD if they worsened significantly during the late luteal week during two consecutive ovulatory menstrual cycles, occurred on days in which women reported marked interference with functioning, and were not due to another mental disorder.

RESULTS

In the final analysis, 1246 women who had had at least one menstrual cycle and were neither naturally nor surgically menopausal nor pregnant were selected. Of the women in the study, 1.3% met criteria for the diagnosis as defined in DSM-IV.

CONCLUSIONS

The prevalence of PMDD is considerably lower than DSM-IV estimates and all but one of the estimates obtained from previous studies when all DSM-IV diagnostic criteria are considered. We suggest a new process for diagnosing PMDD based on our findings.

Targeting health disparities: a model linking upstream determinants to downstream interventions

Certain social/environmental factors put some groups at extraordinary risk for adverse health outcomes, creating health disparities. We present a downward causal model, originating at the population level and ending at disease, with psychological and behavioral responses linking the two. This approach identifies how specific social environments "get under the skin" to cause disease, illustrated with the disparity in mortality from aggressive premenopausal breast cancer suffered by black women. Broadening our lens to consider the entire chain of causal factors, spanning multiple levels and interacting across the life span, heightens our ability to craft specific interventions to address group differences in health.

Recruitment of minority and underserved populations in the United States: the Centers for Population Health and Health Disparities experience

OBJECTIVE

The recruitment of minority and underserved individuals to research studies is often problematic. The purpose of this study was to describe the recruitment experiences of projects that actively recruited minority and underserved populations as part of The Centers for Population Health and Health Disparities (CPHHD) initiative.

METHODS

Principal investigators and research staff from 17 research projects at eight institutions across the United States were surveyed about their recruitment experiences. Investigators reported the study purpose and design, recruitment methods employed, recruitment progress, problems or challenges to recruitment, strategies used to address these problems, and difficulties resulting from Institutional Review Board (IRB) or Health Insurance Portability and Accountability Act of 1996 (HIPAA) requirements. Additionally, information was collected about participant burden and compensation. Burden was classified on a three-level scale. Recruitment results were reported as of March 31, 2007.

RESULTS

Recruitment attainment ranged from 52% to 184% of the participant recruitment goals. Commonly reported recruitment problems included administrative issues, and difficulties with establishing community partnerships and contacting potential participants. Long study questionnaires, extended follow-up, and narrow eligibility criteria were also problematic. The majority of projects reported difficulties with IRB approvals, though few reported issues related to HIPAA requirements. Attempted solutions to recruitment problems varied across Centers and included using multiple recruitment sites and sources and culturally appropriate invitations to participate. Participant burden and compensation varied widely across the projects, however, accrual appeared to be inversely associated with the amount of participant burden for each project.

CONCLUSION

Recruitment of minority and underserved populations to clinical trials is necessary to increase study generalizbility and reduce health disparities. Our results demonstrate the importance of flexible study designs which allow adaptation to recruitment challenges. These experiences also highlight the importance of involving community members and reducing participant burden to achieve success in recruiting individuals from minority and underserved populations.

Approaching health disparities from a population perspective: the National Institutes of Health Centers for Population Health and Health Disparities

Addressing health disparities has been a national challenge for decades. The National Institutes of Health-sponsored Centers for Population Health and Health Disparities are the first federal initiative to support transdisciplinary multilevel research on the determinants of health disparities. Their novel research approach combines population, clinical, and basic science to elucidate the complex determinants of health disparities. The centers are partnering with community-based, public, and quasi-public organizations to disseminate scientific findings and guide clinical practice in communities. In turn, communities and public health agents are shaping the research. The relationships forged through these complex collaborations increase the likelihood that the centers' scientific findings will be relevant to communities and contribute to reductions in health disparities.

Challenges for multilevel health disparities research in a transdisciplinary environment

Numerous factors play a part in health disparities. Although health disparities are manifested at the level of the individual, other contexts should be considered when investigating the associations of disparities with clinical outcomes. These contexts include families, neighborhoods, social organizations, and healthcare facilities. This paper reports on health disparities research as a multilevel research domain from the perspective of a large national initiative. The Centers for Population Health and Health Disparities (CPHHD) program was established by the NIH to examine the highly dimensional, complex nature of disparities and their effects on health. Because of its inherently transdisciplinary nature, the CPHHD program provides a unique environment in which to perform multilevel health disparities research. During the course of the program, the CPHHD centers have experienced challenges specific to this type of research. The challenges were categorized along three axes: sources of subjects and data, data characteristics, and multilevel analysis and interpretation. The CPHHDs collectively offer a unique example of how these challenges are met; just as importantly, they reveal a broad range of issues that health disparities researchers should consider as they pursue transdisciplinary investigations in this domain, particularly in the context of a large team science initiative.

Collective memory, candidacy, and victimisation: community epidemiologies of breast cancer risk

Collectively shared ideas of community may be equally relevant for the study of health disparities as quantifying the relationship between community structures and health. Data from focus groups (N = 18) that explored understandings of breast cancer and breast cancer risk in African American neighbourhoods revealed three conceptual domains where shared ideas of community informed responses: collective memory, community candidacy, and community victimisation by external aggressors. Reading the focus group responses in terms of these domains identified perceptions of risk and of candidacy that may be overlooked by individualised or quantitative approaches to studying breast cancer risk perceptions and related behaviours. These include novel perceived risks, such as the 'risk of knowing', as well as community-level constructions of breast cancer candidacy. 'Lay epidemiologies' of breast cancer within this population might therefore be better understood as 'community epidemiologies', where community is central to the interpretation and operationalisation of breast cancer risk. Paying attention to such community epidemiologies of breast cancer provides theoretical insights for studying breast cancer disparities and risk perceptions as well as useful guidance for designing interventions.

Early-life conditions and mechanisms of population health vulnerabilities

The social status of groups is key to determining health vulnerability at the population level. The impact of material and psychological stresses imposed by social inequities and marginalization is felt most intensely during perinatal/early childhood and puberty/adolescent periods, when developmental genes are expressed and interact with social-physical environments. The influence of chronic psychosocial stresses on gene expression via neuroendocrine regulatory dysfunction is crucial to understanding the biological bases of adult health vulnerability. Studying childhood biology vulnerabilities to neighborhood environments will aid the crafting of multifaceted, multilevel public policy interventions providing immediate benefits and compounded long-term population health yields.

Beliefs and concerns African American (AA) and white (W) patients (pts) with breast, lung, and colon cancer bring to bear on the decision to undergo chemotherapy

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Background: AA have poorer stage-specific survival for breast, colon and lung cancer than whites and are also less likely to receive therapy for these cancers. This study seeks to explore the set of beliefs and concerns patients with primarily resected breast, lung, and colon cancer bring to bear on the decision to receive chemotherapy. Methods: Semi-structured interviews were conducted and recorded by a non-physician, African-American interviewer on patients with colon, breast, and lung cancer referred to medical oncology for chemotherapy. Grounded theory methods were used to analyze and code the interview transcripts. Results: A total of 27 interviews were conducted (17AA, 10W) including pts with breast (5), colon (6) and lung cancer (16). All but 7 of the pts were referred for adjuvant therapy. Three major themes emerged: (1) Patient versus physician control in decision making; (2) Absolute trust in one's physician versus qualified trust; (3) Major role of God in the decision making process versus a partnership or minimal role of God. In terms of decision-making, roughly equal portions of AA and W (53% vs 54%) expressed a patient centered locus of control. In the area of trust, AA were less likely to express an absolute trust in their physicians (59% vs. 80%). Finally, with respect to the role of God, AA were more likely to express a major role of God for their cancer and treatment (41% vs. 7%). Very few pts viewed the opinion or advice of family or friends as important and while many expressed concerns about the side-effects of therapy, very few identified that as being an important factor in their decision to undergo therapy. Conclusions: Issues of locus of control, physician trust and the role of God were areas identified as important in the chemotherapy decision-making process and for which variability existed among the pts interviewed. Analysis of these interviews informed the incorporation of validated measures of decision-making, physician trust, and the role of God as a locus of control in an ongoing close-coded survey of a similar cancer population.

No significant financial relationships to disclose.

Using qualitative data to examine disparities in cancer outcomes: Results from interviews with African American (AA) and white (W) patients regarding health beliefs and perceptions of chemotherapy

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Background: Prior data indicate African Americans are less likely to receive appropriate and timely therapy for breast, colon, and lung cancers. The reasons for this may involve differences in how AA patients (pts) perceive the risks and benefits of available therapies. In general, little is known about the beliefs of pts, and about AA’s in particular, toward the risks and benefits of chemotherapy. Methods: Semi-structured qualitative interviews are being conducted on pts who have been referred to receive chemotherapy for breast, colon, and lung cancer. Results: To date, 18 patients have been interviewed: 9AA, 9W; median age 61 (range 35–77); 11 lung, 4 breast, 3 colon (11 for adjuvant therapy and 7 with metastatic disease). Pts provided their beliefs on the role of chemotherapy. Many described the advantages of chemotherapy indicating the possibility of cure or remission. Others expressed a degree of skepticism about the curative intent of chemotherapy. Many indicated an expectation of moderate to severe side effects that may have lasting effects on the body. Trust in one’s physician and the role of religion/spirituality are also emerging themes. One AA pt described that chemotherapy was a way for physicians to experiment on patients. Others believed that trust in one’s physician was implicit and essential. Many indicated a belief in God but few believed that his/her religious beliefs affected his/her approach to treatment. Conclusions: Consistent with the health beliefs’ model, perceived benefits and perceived barriers (one’s belief about the tangible and psychological costs of the advised action) shape pts’ perceptions of chemotherapy. In this ongoing analysis, the perceived benefits are tempered by a degree of skepticism. The perceived barriers include concerns about the overall impact of chemotherapy on the body and spirit rather than specific short-term side effects. Also, belief in the use of chemotherapy as an experiment is potentially consistent with some African American patients’ perceptions.

No significant financial relationships to disclose.

The WOMQOL instrument measured quality of life in women of reproductive age with no known pathology

BACKGROUND AND OBJECTIVES

The Women's Quality of Life Questionnaire (WOMQOL) was developed to measure aspects of the health of women of reproductive age with no known pathology.

METHODS

Five experts in women's health and mental health rated a pool of 140 items as very significant, somewhat significant, or insignificant to women's health. Sixty-seven items were retained and formatted as a self-reported questionnaire with dichotomous responses to each statement ("true" and "false"). A total of 1,207 women completed the instrument during the follicular and late luteal phases of their menstrual cycles. Dichotomous response data from the follicular phases were analyzed using item response theory-based full-information item factor analysis to identify interpretable factors. Measurement invariance of the obtained factors across cycle phases and age cohorts was further evaluated using differential item functioning (DIF).

RESULTS

Four primary factors, made up of the 10 items with highest factor loading in each factor, were found to measure physical, mental, social, and spiritual health. No items were found to display DIF across the phases of menstrual cycles or age cohorts.

CONCLUSION

Although additional studies of diverse groups of women are advised, the final 40-item WOMQOL is a psychometrically sound measure that can be used to evaluate the quality of life of women of reproductive age in the general population.

Mammary Cancer and Social Interactions: Identifying Multiple Environments That Regulate Gene Expression Throughout the Life Span

Now that the human genome has been sequenced, along with those of major animal models, there is an urgent need to define those environments that interact with genes. The traditional view focuses on ways that gene products interact with the nuclear environment to regulate cell function, causing the physiologic changes, behaviors, and diseases manifest throughout development and aging. Although this view is essential, it is equally essential to understand the converse relationship, namely, to identify those environments at higher levels of organization that regulate the expression of specific genes. Given the vastness of this problem, one effective strategy is to start with a trait for which some of the genes have already been identified, such as malignant disease. In rats, social isolation and hypervigilance increase the incidence of mammary tumors, accelerate aging, and shorten the life span. We propose that similar environmental regulation of gene expression may underlie the disproportionately high mortality from premenopausal breast cancer of Blacks, a minority group that can experience high levels of loneliness and hypervigilance. Our goal is to identify which environments-social, psychological, hormonal, and cellular-regulate genetic mechanisms of mammary cancer risk as well as the specific times in the life span when they do so.

The Washington Psychosocial Seizure Inventory (WPSI): psychometric evaluation and future applications

The Washington Psychosocial Seizure Inventory (WPSI) clinical scales were developed via an empirical item selection approach and have been used widely to measure aspects of psychosocial functioning of patients with epilepsy. However, these empirically derived clinical scales have not been assessed psychometrically using a modern item response theory-based model. The goals of this study were to: (1) evaluate how items in each clinical scale performed in such a way as to represent the underlying constructs being measured; and (2) derive a shorter version while maintaining measurement precision. WPSI item response data from 145 adults with epilepsy collected for an evaluation study of an intervention to pact negative attributional style in epilepsy were used. The dichotomous Rasch model suitable for the true-false response choices was used to analyse each clinical scale separately. Most items within each scale fit the measurement model well, with very few exceptions. All items, therefore, were retained. A method, based on computerised adaptive testing (CAT), is offered for shortening the WPSI using a psychosocial outcomes item bank derived from the study. Individuals' specific levels of functioning are used to derive measures of their psychosocial functioning with a minimum number of items.

Premenstrual dysphoric disorder and risk for major depressive disorder: a preliminary study

Investigators examined whether premenstrual dysphoric disorder (PMDD) poses a risk for major depressive disorder (MDD). In an initial study, women rated premenstrual symptoms and functional impairment daily for two menstrual cycles. A semistructured diagnostic interview was given to obtain psychiatric histories and differentiate PMDD from premenstrual exacerbations of other disorders. Participants in this pilot study were eight women with PMDD and a random subgroup without PMDD (n = 9) initially. Another semistructured interview was given to diagnose psychiatric disorders occurring during a two-year follow-up interval. In all, seven of the eight women with PMDD developed MDD within two years, including all those who had never had MDD before. The odds that a woman with PMDD developed MDD were 14 times the odds that a woman without PMDD developed MDD ( p <.05). Premenstrual dysphoric disorder may be a prodrome of or causal risk factor for MDD. Preliminary evidence for the diagnostic validity of PMDD is provided.

Rural and urban Midwestern United States contraception practices

To address a paucity of demographic data on rural United States contraception practices, 370 randomly selected menstruating women, age 13-55 years, living in rural and urban Illinois and Missouri answered interview questions. Women with relatively few children and living in urban areas were likely to practice contraception more than those with relatively few children and living in rural areas, p < 0.01. In Illinois, more rural (23%) than urban (2%) women chose sterilization, p < 0.01. Single status was more frequent in Chicago (41%) and rural Missouri (32%) than in rural Illinois (19%), p < 0.002, and extant research links single status with risk for HIV and other sexually transmitted diseases (STDs). Condom use did not differ significantly by locale, p > 0.05. Urban-rural differences in contraception practices may be a function of life style choices (e.g. urban women may practice contraception to postpone having children, whereas rural women may practice contraception to prevent having more children after families are complete). Results do not strongly support that locale differences in contraception practices are a function of concern about contracting STDs.

Black-white differences in the psychosocial outcomes of epilepsy

The present study tested the hypothesis that the stigma of being disabled and that of minority ethnic status yield more negative psychosocial outcomes for black than white persons with epilepsy. Black (n=55) and white (n=53) urban participants from a larger sample were matched for socioeconomic status and seizure frequency. Differences in these and key demographic variables were tested using chi(2) and t-tests and found to be non-significant. Group differences in psychosocial outcome variables were analyzed with the following results: (1) white subjects were more likely to have considered suicide and to have higher scores on the family background scale of the Washington Psychosocial Seizure Inventory (WPSI); (2) black subjects had significantly lower scores on the Beck Hopelessness Scale and significantly more optimistic attributional styles; and (3) no between-group differences were found on other psychosocial measures. The nature of family and community supports may determine intergroup differences.

Relationships of premenstrual dysphoric disorder to major depression and anxiety disorders: a re-examination

Clarifying the relationships of premenstrual dysphoric disorder (PMDD) to depressive and anxiety disorders may contribute to the understanding of risk factors and etiologies associated with the disorders. A current belief is that women with PMDD have a higher percentage of past psychiatric disorders than women without the disorder, an assumption that may be premature. This review carefully examines existing literature on the nature of the relationships between PMDD and major depression and anxiety disorders. A re-evaluation of the literature and the resulting implications for risk factors and etiology, as well as for obstetric and gynecological practice, are provided.

Symptom patterns of premenstrual dysphoric disorder as defined in the Diagnostic and Statistical Manual of Mental Disorders-IV

Premenstrual dysphoric disorder was included in an appendix of DSM-III-R (revised third edition of the Diagnostic and Statistical Manual of Mental Disorders) and DSM-IV to facilitate systematic research. Items contained in its set of research criteria were considered tentative. Only one previous study of premenstrual symptoms specifically addressed symptoms of premenstrual dysphoric disorder, and it did not use DSM-IV criteria. In the present study, prospectively measured symptoms of 99 women were analyzed using exploratory principal components analysis with orthogonal rotation on all 24 items derived from the 11 symptoms listed in DSM-IV. Variation was found across phases of cycle and groups, with five factors predominating: (1) anger/irritability, (2) depressed mood, (3) anxiety/tension, (4) decreased energy and interest with physical symptoms, and (5) eating problems.

Factor structure and dimensionality of the multidimensional health locus of control scales in measuring adults with epilepsy

External locus of control has been implicated in the development of psychosocial problems in epilepsy, and adults with epilepsy exhibit scores that are more external than those of the normative sample of the Multidimensional Health Locus of Control (MHLC) scales. Although the MHLC scales has the potential to be quite useful in the assessment and treatment of adults with epilepsy, it has not been assessed psychometrically using data from persons with epilepsy. The present study examined the internal consistency, factor structure, and construct validity of the scales using data from a survey of 143 adults with epilepsy. Results from reliability analysis, confirmatory factor analysis, and Rasch analysis supported the hypothesized three-factor structure of the measure, which was internally reliable and factorially valid.

Establishing the diagnostic validity of premenstrual dysphoric disorder using rasch analysis

Premenstrual Dysphoric Disorder (PMDD) has remained in appendices of the last two editions of The Diagnostic and Statistical Manual of Mental Disorders due to lack of empirical study. Items included in its set of research criteria are considered tentative pending evidence of diagnostic validity. The present study attempts to establish the construct validity of the PMDD criteria using the Rasch method to analyze the validity of individual items as contributors to the diagnosis, in contrast to the usual but less precise approach of using an external validator to establish the diagnostic utility of psychiatric conditions. Analysis of which items best differentiate participants with and without PMDD provides an idea of the relative ability of these items to distinguish PMDD. It is recommended that the areas of anger/irritability, depressed mood, and problems in interpersonal functioning be expanded in further studies and corresponding items added to symptom checklists.

A design for studying the DSM-IV research criteria of premenstrual dysphoric disorder

The DSM-IV estimate that 3-5% of women have premenstrual dysphoric disorder (PMDD) is based on studies that: used non-representative samples, did not consider all research criteria, or were retrospective. In the present study, prospective data from a multiethnic sample of women were analyzed to develop an effective method of considering all DSM-IV research criteria for PMDD. One-hundred and seventeen subjects between the ages of 13 and 55 years who were neither pregnant nor menopausal were recruited from outpatient clinics at a teaching hospital for a study of changes in women's health through time. Daily urine samples were taken for two menstrual cycles, analyzed to establish phase of cycle, and correlated with daily symptom ratings. Subjects were assessed for psychiatric disorders. Four methods of symptom analysis were used. Prevalence rates ranging from 1.0% to 7.1% were determined that differed according to the method of measuring the symptom change. The group of women with PMDD did not differ from the sample as a whole on variables including age, parity and birth control pill use. When all criteria were considered as they appear in DSM-IV, prevalence estimates of the present study did not differ markedly from those in DSM-IV.

Attributional style and locus of control in adults with epilepsy

Little agreement exists on how attributional style and locus of control relate to one another. Some consider the two to be interchangeable; others say that they overlap but are not identical. This study of the perceptions of control (conceptualized as attributional style and locus of control) of 144 adults with epilepsy, measured via a mailed survey, lends support to the latter notion. Attributional style for bad events, but not for good events, could be predicted by length of time that participants had been seizure free. Locus of control could not be predicted. Differences in the nature of the two concepts and how they develop within individuals are examined to explain how changes in seizure control would effect one but not the other. Implications for other medical conditions are discussed.

Perceptions of control in adults with epilepsy

That psychosocial problems are extant in epilepsy is evidenced by a suicide rate among epileptic persons five times that of the general population and an unemployment rate estimated to be more than twice that of the population as a whole. External perceptions of control secondary to repeated episodes of seizure activity that generalize to the social sphere have been implicated as causes of these problems. The hypothesis that individuals who continue to have seizures become more and more external in perceptions of control was tested by a survey mailed to a sample of individuals with epilepsy in a metropolitan area of the Midwest. Dependent variables were, scores on instruments measuring locus of control and attributional style. The independent variable was a measure of seizure control based on present age, age at onset, and length of time since last seizure. Gender, socioeconomic status, and certain parenting characteristics were included as control variables, as they are also known to affect perceptions of control. Analysis by multiple regression techniques supported the study's hypothesis when perceptions of control was conceptualized as learned helplessness for bad, but not for good, events. The hypothesis was not confirmed when perceptions of control was conceptualized as either general or health locus of control.