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OBJECTIVES: A major strategy to reduce the impact of breast cancer (BC) among African Americans (AA) is patient navigation, defined here as individualized assistance for reducing barriers to healthcare use. The primary focus of this study was to estimate the added value of incorporating breast health promotion by navigated participants and the subsequent BC screenings that network members may obtain. METHODS: In this study, we compared the cost-effectiveness of navigation across 2 scenarios. First, we examine the effect of navigation on AA participants (scenario 1). Second, we examine the effect of navigation on AA participants and their networks (scenario 2). We leverage data from multiple studies in South Chicago. Our primary outcome (BC screening) is intermediate, given limited available quantitative data on the long-term benefits of BC screening for AA populations. RESULTS: When considering participant effects alone (scenario 1), the incremental cost-effectiveness ratio was $3845 per additional screening mammogram. When including participant and network effects (scenario 2), the incremental cost-effectiveness ratio was $1098 per additional screening mammogram. CONCLUSION: Our findings suggest that inclusion of network effects can contribute to a more precise, comprehensive assessment of interventions for underserved communities.
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Neoplasias da Mama , Navegação de Pacientes , Humanos , Feminino , Negro ou Afro-Americano , Mamografia , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/prevenção & controle , Promoção da Saúde , Detecção Precoce de Câncer , Rede SocialRESUMO
OBJECTIVES: Despite the benefits of genetic counseling and testing (GCT), utilization is particularly low among African American (AA) women who exhibit breast cancer features that are common in BRCA-associated cancer. Underutilization is especially problematic for AA women who are more likely to die from breast cancer than women from any other race or ethnicity. Due to medical mistrust, fear, and stigma that can be associated with genetic services among racial/ethnic minorities, reliance on trusted social networks may be an impactful strategy to increase dissemination of knowledge about hereditary cancer risk. Informed by the social cognitive theory, the purpose of this study is to determine: 1) which AA patients diagnosed with breast cancer and with identified hereditary risk are sharing information about hereditary risk with their networks; 2) the nature of the information dissemination; and 3) if personal GCT experiences is associated with dissemination of information about hereditary risk. METHODS: Among consented participants (n = 100) that completed an interview administered using a 202-item questionnaire consisting of open- and closed-ended questions, 62 patients were identified to be at higher risk for breast cancer. Descriptive statistics, bivariable chi-square, Pearson's exact tests, and regression analyses were conducted to examine differences in characteristics between high-risk participants who disseminated hereditary risk information and participants who did not. RESULTS: Among high-risk participants, 25 (40%) indicated they had disseminated information about hereditary risk to at least one member in their family/friend network and 37 (60%) had not. Receipt of both provider recommendations and receipt of GCT services was associated with greater odds of disseminating information about hereditary risk with networks, OR = 4.53, 95%CI [1.33, 15.50], p = .02. CONCLUSION: Interventions that increase self-efficacy gained through additional personalized knowledge and experience gained through provider recommendations and by undergoing GCT may facilitate information dissemination among social/familial networks.
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Neoplasias da Mama , Confiança , Neoplasias da Mama/diagnóstico , Atenção à Saúde , Feminino , Aconselhamento Genético/psicologia , Testes Genéticos , Humanos , Disseminação de InformaçãoRESUMO
BACKGROUND: Patient navigation is an increasingly widespread intervention to address the persistent, severe, and disproportionate breast cancer (BC) burden that African Americans (AA) face. Navigation may have more widespread effects than previously estimated due to patient-driven diffusion of BC information. METHODS: This pilot study examined the network effects of a randomized controlled trial via recruitment of navigated and non-navigated AA BC patients as well as their network members. We estimated study arm differences in patient BC promotion (i.e., number of individuals to whom BC patients promote BC screening) and network BC screening (i.e., % BC screening among network members). RESULTS: Among our sample of 100 AA BC patients, navigated patients promoted BC screening to more individuals than non-navigated patients. BC patients were more likely to promote BC screening to children and individuals with whom they communicated more frequently. Some models further suggested more network BC screening among "navigated" network members relative to "non-navigated" network members. CONCLUSIONS: Navigated AA patients promoted BC screening more widely throughout their networks than non-navigated AA BC patients. There were also suggestive findings regarding increased BC screening among their network members. Our pilot study highlights the potential for social network analysis to improve the precision of intervention effect estimates and to inform future innovations (e.g., integrating navigation and network-based interventions) with multilevel effects on cancer health disparities.
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Neoplasias da Mama , Navegação de Pacientes , Negro ou Afro-Americano , Criança , Feminino , Amigos , Humanos , Projetos PilotoRESUMO
PURPOSE: Social support improves several quality of life (QOL) domains among African American breast cancer survivors. How different dimensions of social support are associated with QOL among African American breast cancer survivors may however differ from other populations. This study explores this hypothesis by examining associations of positive social support (supportive interactions that promote affection) and negative social support (non-supportive interactions wherein the provider of support may not have the best intended actions) with QOL among Chicago-based African American breast cancer survivors. METHODS: Study participants were eligible if they (1) were identified as being an African American female, (2) were at least 18 years of age or older, and (3) were diagnosed with breast cancer during or after navigation was implemented at the study hospital. Participants completed validated questionnaires via telephone or in-person interviews. RESULTS: Among our sample of 100 participants, positive support was associated with greater mental well-being in non-imputed (Std ß=1.60, CI: 0.51, 2.69, p= 0.004) and imputed models (Std ß= 1.67, CI: 0.68, 2.73, p=0.001). There was also a weaker inverse association with negative support and mental well-being when using non-imputed data (Std ß=-0.82, CI:-1.65, 0.02, p= 0.05). CONCLUSIONS: Our findings suggest that positive support, in particular, is highly influential for improving mental well-being among African American breast cancer survivors. Simultaneously, negative support appears to be an independent, albeit weaker, determinant of mental well-being.
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Neoplasias da Mama , Sobreviventes de Câncer , Apoio Social , Adolescente , Adulto , Negro ou Afro-Americano , Idoso , Neoplasias da Mama/terapia , Feminino , Humanos , Medicare , Qualidade de Vida , Estados UnidosRESUMO
BACKGROUND: Systems science methodologies offer a promising assessment approach for clinical trials by: 1) providing an in-silico laboratory to conduct investigations where purely empirical research may be infeasible or unethical; and, 2) offering a more precise measurement of intervention benefits across individual, network, and population levels. We propose to assess the potential of systems sciences methodologies by quantifying the spillover effects of randomized controlled trial via empirical social network analysis and agent-based models (ABM). DESIGN/METHODS: We will evaluate the effects of the Patient Navigation in Medically Underserved Areas (PNMUA) study on adult African American participants diagnosed with breast cancer and their networks through social network analysis and agent-based modeling. First, we will survey 100 original trial participants (50 navigated, 50 non-navigated) and 150 of members of their social networks (75 from navigated, 75 non-navigated) to assess if navigation results in: 1) greater dissemination of breast health information and breast healthcare utilization throughout the trial participants' networks; and, 2) lower incremental costs, when incorporating navigation effects on trial participants and network members. Second, we will compare cost-effectiveness models, using a provider perspective, incorporating effects on trial participants versus trial participants and network members. Third, we will develop an ABM platform, parameterized using published data sources and PNMUA data, to examine if navigation increases the proportion of early stage breast cancer diagnoses. DISCUSSION: Our study results will provide promising venues for leveraging systems science methodologies in clinical trial evaluation.
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Purpose African American women with breast cancer have higher cancer-specific and overall mortality rates. Obesity is common among African American women and contributes to breast cancer progression and numerous chronic conditions. Weight loss interventions among breast cancer survivors positively affect weight, behavior, biomarkers, and psychosocial outcomes, yet few target African Americans. This article examines the effects of Moving Forward, a weight loss intervention for African American breast cancer survivors (AABCS) on weight, body composition, and behavior. Patients and Methods Early-stage (I-III) AABCS were randomly assigned to a 6-month interventionist-guided (n = 125) or self-guided (n = 121) weight loss program supporting behavioral changes to promote a 5% weight loss. Anthropometric, body composition, and behavioral data were collected at baseline, postintervention (6 months), and follow-up (12 months). Descriptive statistics and mixed models analyses assessed differences between groups over time. Results Mean (± standard deviation) age, and body mass index were 57.5 (± 10.1) years and 36.1 (± 6.2) kg/m2, respectively, and 82% had stage I or II breast cancer. Both groups lost weight. Mean and percentage of weight loss were greater in the guided versus self-guided group (at 6 months: 3.5 kg v 1.3kg; P < .001; 3.6% v 1.4%; P < .001, respectively; at 12 months: 2.7 kg v 1.6 kg; P < .05; 2.6% v 1.6%; P < .05, respectively); 44% in the guided group and 19% in the self-guided group met the 5% goal. Body composition and behavioral changes were also greater in the interventionist-guided group at both time points. Conclusion The study supports the efficacy of a community-based interventionist-guided weight loss program targeting AABCS. Although mean weight loss did not reach the targeted 5%, the mean loss of > 3% at 6 months is associated with improved health outcomes. Affordable, accessible health promotion programs represent a critical resource for AABCS.