scholarly journals Health Literacy and Health-Care Engagement as Predictors of Shared Decision-Making Among Adult Information Seekers in the USA: a Secondary Data Analysis of the Health Information National Trends Survey

2016 ◽  
Vol 33 (1) ◽  
pp. 67-73 ◽  
Author(s):  
Lisa T. Wigfall ◽  
Andrea H. Tanner
2021 ◽  
Author(s):  
Rachel Thompson ◽  
Gabrielle Stevens ◽  
Ruth Manski ◽  
Kyla Z Donnelly ◽  
Daniela Agusti ◽  
...  

Objectives: There is a paucity of evidence on how to facilitate shared decision-making under real-world conditions and, in particular, whether interventions should target patients, health care providers, or both groups. Our objectives were to assess the comparative effectiveness, feasibility, and acceptability of patient- and provider-targeted interventions for improving shared decision-making about contraceptive methods in a pragmatic trial that prioritised applicability to real-world care. Design: The study design was a 2X2 factorial cluster randomized controlled trial with four arms: (1) video + prompt card ("video"), (2) decision aids + training ("decision aids"), (3) dual interventions ("dual"), and (4) usual care. Clusters were 16 primary and/or reproductive health care clinics that deliver contraceptive care in the Northeast United States. Participants: Participants were people who had completed a health care visit at a participating clinic, were assigned female sex at birth, were aged 15-49 years, were able to read and write English or Spanish, and had not previously participated in the study. Participants were enrolled for 13 weeks before interventions were implemented in clinics (pre-implementation cohort) and for 26 weeks after interventions were implemented in clinics (post-implementation cohort). 5,018 participants provided data on at least one study outcome. Interventions: Interventions were a video and prompt card that encourage patients to ask three specific questions in the health care visit and a suite of decision aids on contraceptive methods and training for providers in how to use them to facilitate shared decision-making with patients in the health care visit. Main outcome measures: The primary outcome was shared decision-making about contraceptive methods. Secondary outcomes spanned psychological, behavioural, and health outcomes. All outcomes were patient-reported via surveys administered immediately, four weeks, and six months after the health care visit. Results: We did not observe any between-arm difference in the differences in shared decision-making between the pre- and post-implementation cohorts for the sample as a whole (video vs. usual care: adjusted odds ratio (AOR)=1.23 (95% confidence interval (CI): 0.82 to 1.85), p=0.80; decision aids vs. usual care: AOR=1.47 (95% CI: 0.98 to 2.18), p=0.32; dual vs. video: AOR=0.95 (95% CI: 0.64 to 1.41), p=1.00; dual vs. decision aids: AOR=0.80 (95% CI: 0.54 to 1.17), p=0.72) or for participants with adequate health literacy. Among participants with limited health literacy, the difference in shared decision-making between the pre- and post-implementation cohorts was different in the video arm from the usual care arm (AOR=2.40 (95% CI: 1.01 to 5.71), p=.047) and was also different in the decision aids arm from the usual care arm (AOR=2.65 (95% CI: 1.16 to 6.07), p=.021), however these differences were not robust to adjustment for multiple comparisons. There were no intervention effects on the secondary outcomes among all participants nor among prespecified subgroups. With respect to intervention feasibility, rates of participant-reported exposure to the relevant intervention components were 9.4% for the video arm, 31.5% for the decision aids arm, and 5.0% for the dual arm. All interventions were acceptable to most patients. Conclusions: The interventions studied are unlikely to have a meaningful population-wide impact on shared decision-making or other outcomes in real-world contraceptive care without additional strategies to promote and support implementation. Selective use of the interventions among patients with limited health literacy may be more promising and, if effective, could reduce disparities in shared decision-making. Trial registration: ClinicalTrials.gov NCT02759939.


Birth ◽  
2021 ◽  
Author(s):  
Sarah Munro ◽  
Elizabeth S. Wilcox ◽  
Leah K. Lambert ◽  
Monica Norena ◽  
Sarah Kaufman ◽  
...  

2018 ◽  
Vol 5 ◽  
pp. 233339361878363 ◽  
Author(s):  
Brianne Wood ◽  
Virginia L. Russell ◽  
Ziad El-Khatib ◽  
Susan McFaul ◽  
Monica Taljaard ◽  
...  

In this study, we examine from multiple perspectives, women’s shared decision-making needs when considering cervical screening options: Pap testing, in-clinic human papillomavirus (HPV) testing, self-collected HPV testing, or no screening. The Ottawa Decision Support Framework guided the development of the interview schedule. We conducted semi-structured interviews with seven screen-eligible women and five health care professionals (three health care providers and two health system managers). Women did not perceive that cervical screening involves a “decision,” which limited their knowledge of options, risks, and benefits. Women and health professionals emphasized how a trusted primary care provider can support women making a choice among cervical screening modalities. Having all cervical screening options recommended and funded was perceived as an important step to facilitate shared decision making. Supporting women in making preference-based decisions in cervical cancer screening may increase screening among those who do not undergo screening regularly and decrease uptake in women who are over-screened.


2018 ◽  
Vol 34 (1) ◽  
pp. 29-31 ◽  
Author(s):  
Gabrielle Rocque ◽  
Ellen Miller-Sonnet ◽  
Alan Balch ◽  
Carrie Stricker ◽  
Josh Seidman ◽  
...  

Although recognized as best practice, regular integration of shared decision-making (SDM) approaches between patients and oncologists remains an elusive goal. It is clear that usable, feasible, and practical tools are needed to drive increased SDM in oncology. To address this goal, we convened a multidisciplinary collaborative inclusive of experts across the health-care delivery ecosystem to identify key principles in designing and testing processes to promote SDM in routine oncology practice. In this commentary, we describe 3 best practices for addressing challenges associated with implementing SDM that emerged from a multidisciplinary collaborative: (1) engagement of diverse stakeholders who have interest in SDM, (2) development and validation of an evidence-based SDM tool grounded within an established conceptual framework, and (3) development of the necessary roadmap and consideration of the infrastructure needed for engendering patient engagement in decision-making. We believe these 3 principles are critical to the success of creating SDM tools to be utilized both within and outside of clinical practice. We are optimistic that shared use across settings will support adoption of this tool and overcome barriers to implementing SDM within busy clinical workflows. Ultimately, we hope that this work will offer new perspectives on what is important to patients and provide an important impetus for leveraging patient preferences and values in decision-making.


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