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Showing papers by "Jonathan Hunter published in 2018"


Journal ArticleDOI
TL;DR: The primary purpose of this study was to test the efficacy of a 12‐week manual‐based supportive‐expressive group intervention for this population of women with a family history of breast cancer.
Abstract: Objective Women with a family history of breast cancer (BC) often overestimate their BC risk. Heightened psychological distress may interfere with risk comprehension and screening adherence. The primary purpose of this study was to test the efficacy of a 12-week manual-based supportive-expressive (SE) group intervention for this population. Methods Using a randomized control trial design, this study compared two interventions: a standard risk-counseling arm (RC) compared with that plus SE group intervention. The primary study outcome was BC anxiety. Secondary outcomes included psychosocial functioning, risk comprehension, BC knowledge, and screening behaviors. Results A total of 161 women with a family history of BC were randomized into SE (N = 108) or RC (N = 53). Participants in both study arms significantly improved on measures of BC anxiety, psychosocial functioning, risk comprehension, and BC knowledge, with no statistical difference between study arms. Benefits were sustained at 1 year. BC screening rates were high in both arms at baseline and follow-up. Conclusions SE group therapy as an added intervention to the risk counseling was well-received, however, did not demonstrate superiority to RC alone. Future studies on treatment matching are needed to further our understanding of interventions that can support women with a family history of BC to work through residual issues, including loss and grief.

12 citations


Journal ArticleDOI
TL;DR: The value of the Self-Assessment Kiosk to users and the feasibility of providing this resource are supported by the steady accumulation of new users over time, which can be interrogated to understand the relationships between health variables.
Abstract: Background: Standardized measurement of physical and mental health is useful for identification of health problems. Personalized feedback of the results can influence health behavior, and treatment outcomes can be improved by monitoring feedback over time. However, few resources are available that are free for users, provide feedback from validated measurement instruments, and measure a wide range of health domains. Objective: This study aimed to develop an internet self-assessment resource that fills the identified gap and collects data to generate and test hypotheses about health, to test its feasibility, and to describe the characteristics of its users. Methods: The Self-Assessment Kiosk was built using validated health measurement instruments and implemented on a commercial internet survey platform. Data regarding usage and the characteristics of users were collected over 54 weeks. The rate of accrual of new users, popularity of measurement domains, frequency with which multiple domains were selected for measurement, and characteristics of users who chose particular questionnaires were assessed. Results: Of the 1435 visits, 441 (30.73%) were visiting for the first time, completed at least 1 measure, indicated that their responses were truthful, and consented to research. Growth in the number of users over time was approximately linear. Users were skewed toward old age and higher income and education. Most (53.9%, 234/434) reported at least 1 medical condition. The median number of questionnaires completed was 5. Internal reliability of most measures was good (Cronbach alpha>.70), with lower reliability for some subscales of coping (self-distraction alpha=.35, venting alpha=.50, acceptance alpha=.51) and personality (agreeableness alpha=.46, openness alpha=.45). The popular questionnaires measured depression (61.0%, 269/441), anxiety (60.5%, 267/441), attachment insecurity (54.2%, 239/441), and coping (46.0%, 203/441). Demographic characteristics somewhat influenced choice of instruments, accounting for <9% of the variance in this choice. Mean depression and anxiety scores were intermediate between previously studied populations with and without mental illness. Modeling to estimate the sample size required to study relationships between variables suggested that the accrual of users required to study the relationship between 3 variables was 2 to 3 times greater than that required to study a single variable. Conclusions: The value of the Self-Assessment Kiosk to users and the feasibility of providing this resource are supported by the steady accumulation of new users over time. The Self-Assessment Kiosk database can be interrogated to understand the relationships between health variables. Users who select particular instruments tend to have scores that are higher than those found in the general population, indicating that instruments are more likely to be selected when they are salient. Self-selection bias limits generalizability and needs to be taken into account when using the Self-Assessment Kiosk database for research. Ethical issues that were considered in developing and implementing the Self-Assessment Kiosk are discussed.

8 citations