B. Joyce Davison
University of Saskatchewan
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Featured researches published by B. Joyce Davison.
Qualitative Health Research | 2009
John L. Oliffe; B. Joyce Davison; Tom Pickles; Lawrence W. Mróz
Asymptomatic men with low-risk, early-stage prostate cancer are eligible for active surveillance (AS), which offers a means to monitor the cancer while delaying treatment. However, AS operates within a unique set of circumstances that advocate monitoring, rather than immediate treatment, and mens health practices are central to coping with the inherent uncertainty of living with an untreated cancer. A qualitative study was completed to describe the range of mens self-management strategies used to overcome AS-related uncertainty. The study findings reveal two strategies. First, positioning prostate cancer as benign through stoicism and solitary discourses were common to men intent on “living a normal life.” Second, men committed to “doing something extra” complemented AS protocols, and often collaborated with their wives to focus on diet as an adjunct therapy. Although most participants exhibited typical mens health practices, it is clear that tailored AS psychosocial interventions will benefit men and their families.
Urologic Oncology-seminars and Original Investigations | 2013
Donna L. Berry; Barbara Halpenny; Fangxin Hong; Seth Wolpin; William B. Lober; Kenneth J. Russell; William J. Ellis; Usha S. Govindarajulu; Jaclyn L. F. Bosco; B. Joyce Davison; Gerald Bennett; Martha K. Terris; Andrea Barsevick; Daniel W. Lin; Claire C. Yang; G.P. Swanson
OBJECTIVE The purpose of this trial was to compare usual patient education plus the Internet-based Personal Patient Profile-Prostate, vs. usual education alone, on conflict associated with decision making, plus explore time-to-treatment, and treatment choice. METHODS A randomized, multi-center clinical trial was conducted with measures at baseline, 1-, and 6 months. Men with newly diagnosed localized prostate cancer (CaP) who sought consultation at urology, radiation oncology, or multi-disciplinary clinics in 4 geographically-distinct American cities were recruited. Intervention group participants used the Personal Patient Profile-Prostate, a decision support system comprised of customized text and video coaching regarding potential outcomes, influential factors, and communication with care providers. The primary outcome, patient-reported decisional conflict, was evaluated over time using generalized estimating equations to fit generalized linear models. Additional outcomes, time-to-treatment, treatment choice, and program acceptability/usefulness, were explored. RESULTS A total of 494 eligible men were randomized (266 intervention; 228 control). The intervention reduced adjusted decisional conflict over time compared with the control group, for the uncertainty score (estimate -3.61; (confidence interval, -7.01, 0.22), and values clarity (estimate -3.57; confidence interval (-5.85,-1.30). Borderline effect was seen for the total decisional conflict score (estimate -1.75; confidence interval (-3.61,0.11). Time-to-treatment was comparable between groups, while undecided men in the intervention group chose brachytherapy more often than in the control group. Acceptability and usefulness were highly rated. CONCLUSION The Personal Patient Profile-Prostate is the first intervention to significantly reduce decisional conflict in a multi-center trial of American men with newly diagnosed localized CaP. Our findings support efficacy of P3P for addressing decision uncertainty and facilitating patient selection of a CaP treatment that is consistent with the patient values and preferences.
BMC Medical Informatics and Decision Making | 2013
Dawn Stacey; Jennifer Kryworuchko; Jeffrey Belkora; B. Joyce Davison; Marie-Anne Durand; Karen Eden; Aubri Hoffman; Mirjam Koerner; Marie Chantal Loiselle; Richard L. Street
BackgroundCoaching and guidance are structured approaches that can be used within or alongside patient decision aids (PtDAs) to facilitate the process of decision making. Coaching is provided by an individual, and guidance is embedded within the decision support materials. The purpose of this paper is to: a) present updated definitions of the concepts “coaching” and “guidance”; b) present an updated summary of current theoretical and empirical insights into the roles played by coaching/guidance in the context of PtDAs; and c) highlight emerging issues and research opportunities in this aspect of PtDA design.MethodsWe identified literature published since 2003 on shared decision making theoretical frameworks inclusive of coaching or guidance. We also conducted a sub-analysis of randomized controlled trials included in the 2011 Cochrane Collaboration Review of PtDAs with search results updated to December 2010. The sub-analysis was conducted on the characteristics of coaching and/or guidance included in any trial of PtDAs and trials that allowed the impact of coaching and/or guidance with PtDA to be compared to another intervention or usual care.ResultsTheoretical evidence continues to justify the use of coaching and/or guidance to better support patients in the process of thinking about a decision and in communicating their values/preferences with others. In 98 randomized controlled trials of PtDAs, 11 trials (11.2%) included coaching and 63 trials (64.3%) provided guidance. Compared to usual care, coaching provided alongside a PtDA improved knowledge and decreased mean costs. The impact on some other outcomes (e.g., participation in decision making, satisfaction, option chosen) was more variable, with some trials showing positive effects and other trials reporting no differences. For values-choice agreement, decisional conflict, adherence, and anxiety there were no differences between groups. None of these outcomes were worse when patients were exposed to decision coaching alongside a PtDA. No trials evaluated the effect of guidance provided within PtDAs.ConclusionsTheoretical evidence continues to justify the use of coaching and/or guidance to better support patients to participate in decision making. However, there are few randomized controlled trials that have compared the effectiveness of coaching used alongside PtDAs to PtDAs without coaching, and no trials have compared the PtDAs with guidance to those without guidance.
BJUI | 2011
B. Joyce Davison; S. Larry Goldenberg
Study Type – Decision analysis (lacking sensitivity analysis)
Journal of Medical Internet Research | 2010
Donna L. Berry; Barbara Halpenny; Seth Wolpin; B. Joyce Davison; William J. Ellis; William B. Lober; Justin McReynolds; Jennifer Wulff
Background Given that no other disease with the high incidence of localized prostate cancer (LPC) has so many treatments with so few certainties related to outcomes, many men are faced with assuming some responsibility for the treatment decision along with guidance from clinicians. Men strongly consider their own personal characteristics and other personal factors as important and influential to the decision. Clinical researchers have not developed or comprehensively investigated interventions to facilitate the insight and prioritizing of personal factors along with medical factors that are required of a man in preparation for the treatment decision. Objectives The purpose of this pilot study was to develop and evaluate the feasibility and usability of a Web-based decision support technology, the Personal Patient Profile-Prostate (P3P), in men newly diagnosed with LPC. Methods Use cases were developed followed by infrastructure and content application. The program was provided on a personal desktop computer with a touch screen monitor. Participant responses to the query component of P3P determined the content of the multimedia educational and coaching intervention. The intervention was tailored to race, age, and personal factors reported as influencing the decision. Prepilot usability testing was conducted using a “think aloud” interview to identify navigation and content challenges. These issues were addressed prior to deployment in the clinic. A clinical pilot was conducted in an academic medical center where men sought consultation and treatment for LPC. Completion time, missing data, and acceptability were measured. Results Prepilot testing included 4 men with a past diagnosis of LPC who had completed therapy. Technical navigation issues were documented along with confusing content language. A total of 30 additional men with a recent diagnosis of LPC completed the P3P program in clinic prior to consulting with a urologist regarding treatment options. In a mean time of 46 minutes (SD 13 minutes), participants completed the P3P query and intervention components. Of a possible 4560 items for 30 participants, 22 (0.5%) were missing. Acceptability was reported as high overall. The sections of the intervention reported as most useful were the statistics graphs, priority information topics, and annotated external website links. Conclusions The P3P intervention is a feasible and usable program to facilitate treatment decision making by men with newly diagnosed LPC. Testing in a multisite randomized trial with a diverse sample is warranted.
Journal of Psychosocial Oncology | 2011
Nora B. Henrikson; B. Joyce Davison; Donna L. Berry
The Control Preferences Scale is widely used in decision research to measure patient preferences for participation in treatment decision making with health care providers. Following anecdotal reports of confusion with the scale the authors conducted an exploratory interview study to examine perceptions of the meaning and applicability of the Control Preferences Scale for men with localized prostate cancer seeking treatment in a multidisciplinary urology clinic. The preliminary data suggest potential validity challenges when the Control Preferences Scale is used in a multidisciplinary prostate cancer care setting, including the clinical context of localized prostate cancer and the meaning of shared decision making.
BJUI | 2012
B. Joyce Davison; Andrew Matthew; Stacy Elliott; Erin Breckon; Shannon Griffin
Study Type – Therapy (patients preference)
Oncology Nursing Forum | 2009
B. Joyce Davison; John L. Oliffe; Tom Pickles; Lawrence W. Mróz
BMC Medical Informatics and Decision Making | 2013
Deb Feldman-Stewart; Mary Ann O’Brien; Marla L. Clayman; B. Joyce Davison; Masahito Jimbo; Michel Labrecque; Richard W. Martin; Heather L. Shepherd
Health Psychology | 2013
Lawrence W. Mróz; John L. Oliffe; B. Joyce Davison