Maria K. Venetis

Assessing Health Diagnosis Disclosure Decisions in Relationships: Testing the Disclosure Decision-Making Model

Illness affects millions of Americans each year, and the disclosure of health conditions can facilitate access to social support, in addition to other physical and physiological benefits. This article tests the Disclosure Decision-Making Model (DD-MM; Greene, 2009) to predict factors that influence the likelihood of disclosing (and past disclosure of) nonvisible physical or mental health-related information. One hundred eighty-seven (n = 187) people were recruited for a study to report on both disclosing and not disclosing a nonvisible health condition. Measured variables included information assessment, relational quality, anticipated reactions (support, relational consequences), confidence in response, disclosure efficacy, and disclosure (likelihood of disclosure and depth of disclosure). Structural equation modeling results supported many of the proposed hypotheses, with a great deal of similarity across models. Specifically, assessing information predicted efficacy, and to some extent relational outcomes. Closeness was related to response overall and to efficacy in one model. Response predicted outcome overall and likelihood of disclosure in one model. Finally, efficacy predicted likelihood of disclosure and depth of disclosure. The article discusses the implications of the findings for understanding information, relationship assessments, and efficacy in disclosing health diagnoses.

Consultations Between Patients With Breast Cancer and Surgeons: A Pathway From Patient-Centered Communication to Reduced Hopelessness

PURPOSE Patient-centered communication (PCC) affects psychosocial health outcomes of patients. However, these effects are rarely direct, and our understanding of such effects are largely based on self-report (v observational) data. More information is needed on the pathways by which concrete PCC behaviors affect specific psychosocial outcomes in cancer care. We hypothesized that PCC behaviors increase the satisfaction of patients with surgeons, which, in turn, reduces the postconsultation hopelessness of patients. PATIENTS AND METHODS In Portland, OR, we videotaped consultations between 147 women newly diagnosed with breast cancer and nine surgeons and administered surveys to participants immediately preconsultation and postconsultation. Consultations were coded for PCC behaviors. Multivariate regression models analyzed the association between PCC and the satisfaction of patients and between satisfaction and hopelessness. RESULTS Levels of hopelessness of patients significantly decreased from preconsultation to postconsultation (P < .001). Two PCC behaviors (ie, patient asserting treatment preference [odds ratio {OR}, 1.50/log unit; 95% CI, 1.01 to 2.23/log unit; P = .042] and surgeon providing good/hopeful news [OR, 1.62/log unit; 95% CI, 1.01 to 2.60/log unit; P = .047]) were independently significantly associated with the satisfaction of patients with surgeons, which, in turn, independently predicted reduced levels of postconsultation hopelessness (linear change, -0.78; 95% CI, 1.44 to -0.12; P = .02). CONCLUSION Although additional research is needed with larger and more-diverse data sets, these findings suggest the possibility that concrete and trainable PCC behaviors can lower the hopelessness of patients with breast cancer indirectly through their effects on patient satisfaction with care.

Patients' and Partners' Perspectives of Chronic Illness and Its Management

This study is framed in theories of illness uncertainty (Babrow, A. S., 2007, Problematic integration theory. In B. B. Whaley & W. Samter (Eds.), Explaining communication: Contemporary theories and exemplars (pp. 181-200). Mahwah, NJ: Erlbaum; Babrow & Matthias, 2009; Brashers, D. E., 2007, A theory of communication and uncertainty management. In B. B. Whaley & W. Samter (Eds.), Explaining communication: Contemporary theories and exemplars (pp. 201-218). Mahwah, NJ: Erlbaum; Hogan, T. P., & Brashers, D. E. (2009). The theory of communication and uncertainty management: Implications for the wider realm of information behavior. In T. D. Afifi & W. A. Afifi (Eds.), Uncertainty and information regulation in interpersonal contexts: Theories and applications, (pp. 45-66). New York, NY: Routledge; Mishel, M. H. (1999). Uncertainty in chronic illness. Annual Review of Nursing Research, 17, 269-294; Mishel, M. H., & Clayton, M. F., 2003, Theories of uncertainty. In M. J. Smith & P. R. Liehr (Eds.), Middle range theory for nursing (pp. 25-48). New York, NY: Springer) and health information management (Afifi, W. A., & Weiner, J. L., 2004, Toward a theory of motivated information management. Communication Theory, 14, 167-190. doi:10.1111/j.1468-2885.2004.tb00310.x; Greene, K., 2009, An integrated model of health disclosure decision-making. In T. D. Afifi & W. A. Afifi (Eds.), Uncertainty and information regulation in interpersonal contexts: Theories and applications (pp. 226-253). New York, NY: Routledge) and examines how couples experience uncertainty and interference related to one partners chronic health condition. Specifically, a model is hypothesized in which illness uncertainty (i.e., stigma, prognosis, and symptom) and illness interference predict communication efficacy and health condition management. Participants include 308 dyads in which one partner has a chronic health condition. Data were analyzed using structural equation modeling. Results indicate that there are significant differences in (a) how patients and partners experience illness uncertainty and illness interference and (b) how appraisals of illness uncertainty and illness interference influence communication efficacy and health condition management. We discuss the findings and implications of the study.

“You can't tell anyone but …”: Exploring the Use of Privacy Rules and Revealing Behaviors

This three-part study examines how privacy rules function to protect shared information from further revelation. Communication Privacy Management served as a theoretical framework to investigate issues related to boundary management. In the pilot study, college students (N = 409) described privacy rules and their use, and participants reported not further revealing the information when privacy rules were expressed by disclosers. In Study 1, participants (N = 167) reported on disclosing health-related information, and participants did not anticipate that recipients would further reveal especially when they used a privacy rule. In Study 2, dyads (dyad N = 257) reported on shared disclosure experiences, including both anticipated and actual boundary management. Study 2 findings include that privacy rules have limited effectiveness. The article discusses implications of privacy rule use when sharing private information.

Decision Making in Cancer-Related Topic Avoidance

In this article, the authors use the Disclose Decision-Making Model to explore cancer-related topic avoidance among cancer patients and their partners. Participants include 95 dyads in which 1 partner had been diagnosed and/or treated for cancer. Variables of interest include death-, future-, sexuality-, and burden-related topic avoidance and dimensions of the Disclosure Decision-Making Model including information assessment, receiver assessment, relational quality, and discloser efficacy. Data were analyzed using linear regressions. Findings suggest that lack of reciprocity and efficacy are predictors of topic avoidance. The authors discuss implications of findings and suggests direction for future research.

Breast-Cancer Patients’ Participation Behavior and Coping During Presurgical Consultations: A Pilot Study

In the context of breast-cancer care, there is extremely little research on the association between observed (i.e., taped and coded) communication behaviors and patients’ health outcomes, especially those other than satisfaction. In the context of presurgical consultations between female breast cancer patients and a surgeon, the aim of this exploratory study was to test the association between communication-based participation behaviors and pre–post consultation changes in aspects of patients’ mental adjustment to cancer (i.e., coping). Participants included 51 women newly diagnosed with breast cancer and a surgical oncologist from a National Cancer Institute (NCI)-designated cancer center in the northeastern United States. Outcomes were changes in patients’ fighting spirit, helplessness/hopelessness, anxious preoccupation, cognitive avoidance, and fatalism (measured immediately before and after consultations via survey), and the main predictors were three communication-based participation behaviors coded from videotapes of consultations: patient question asking, patient assertion of treatment preferences, and surgeon solicitation of patient question/concern/opinion. Patients who more frequently asserted their treatment preferences experienced increases in their fighting spirit (p = .01) and decreases in their anxious preoccupation (p = .02). When companions (e.g., sister, spouse) asked more questions, patients experienced decreases in their anxious preoccupation (p = .05). These findings suggest that, in the present context, there may be specific, trainable communication behaviors, such as patients asserting their treatment preferences and companions asking questions, that may improve patients’ psychosocial health outcomes.

A dyadic approach: applying a developmental-conceptual model to couples coping with chronic illness.

The purpose of the present study was to apply Berg and Upchurch’s developmental-conceptual model toward a better understanding of how couples cope with chronic illness. Specifically, a model was hypothesized in which proximal factors (relational quality), dyadic appraisal (illness interference), and dyadic coping (partner support) influence adjustment (health condition management). The study was cross-sectional and included 308 dyads in which one partner has a chronic health condition. The actor partner interdependence model shows how congruence and noncongruence in relational quality, dyadic appraisal, and dyadic coping influence dyadic adjustment.

Characterizing Sexual Orientation Disclosure to Health Care Providers: Lesbian, Gay, and Bisexual Perspectives

ABSTRACT This study examines lesbian, gay, and bisexual patients’ disclosure patterns of sexual orientation to health care providers. Using a semistructured interview format, researchers conducted interviews with 24 lesbian, gay, bisexual, and queer (LGBQ) adults about sexual orientation disclosure strategies. All interviews were transcribed and independently coded using thematic analysis. Results suggest that patient sexual orientation disclosure may be patient initiated and may occur to clarify or correct provider misinformation. Participants disclosed their orientation early in the medical visit during introductions, during small talk with the provider, and during the history-taking phase of the visit. Participants characterized sexual orientation disclosures as presented with minimal information, casually, and often indirectly. Practical and theoretical implications are discussed.

Breast cancer patients' information seeking during surgical consultations: A qualitative, videotape-based analysis of patients' questions.

Despite data on breast cancer patients’ information needs and their association with patient outcomes, there are currently no data on what U.S. patients actually ask surgeons during primary consultations.

Motivations for contralateral prophylactic mastectomy as a function of socioeconomic status

BackgroundDespite no demonstrated survival advantage for women at average risk of breast cancer, rates of contralateral prophylactic mastectomy (CPM) continue to increase. Research reveals women with higher socioeconomic status (SES) are more likely to select CPM. This study examines how indicators of SES, age, and disease severity affect CPM motivations.MethodsPatients (N = 113) who underwent CPM at four Indiana University affiliated hospitals completed telephone interviews in 2013. Participants answered questions about 11 CPM motivations and provided demographic information. Responses to motivation items were factor analyzed, resulting in 4 motivational factors: reducing long-term risk, symmetry, avoiding future medical visits, and avoiding treatments.ResultsAcross demographic differences, reducing long-term risk was the strongest CPM motivation. Lower income predicted stronger motivation to reduce long-term risk and avoid treatment. Older participants were more motivated to avoid treatment; younger and more-educated patients were more concerned about symmetry. Greater severity of diagnosis predicted avoiding treatments.ConclusionsReducing long-term risk is the primary motivation across groups, but there are also notable differences as a function of age, education, income, and disease severity. To stop the trend of increasing CPM, physicians must tailor patient counseling to address motivations that are consistent across patient populations and those that vary between populations.