scholarly journals Assessing the Quality of Decision Support Technologies Using the International Patient Decision Aid Standards instrument (IPDASi)

PLoS ONE ◽  
2009 ◽  
Vol 4 (3) ◽  
pp. e4705 ◽  
Author(s):  
Glyn Elwyn ◽  
Annette M. O'Connor ◽  
Carol Bennett ◽  
Robert G. Newcombe ◽  
Mary Politi ◽  
...  
2021 ◽  
Author(s):  
Danielle Shojaie ◽  
Aubri S Hoffman ◽  
Ruth Amaku ◽  
Maria E Cabanillas ◽  
Julie Ann Sosa ◽  
...  

BACKGROUND In cancers with a chronic phase, patients and family caregivers may face difficult decisions such as whether to start a novel therapy, whether to enroll in a clinical trial, and when to stop treatment. These decisions are complex, require an understanding of uncertainty, and necessitate consideration of patients’ informed preferences. For some cancers, such as medullary thyroid carcinoma, these decisions may also involve significant out-of-pocket costs and effects on family members. Providers expressed a need for web-based interventions that can be delivered between consultations to provide education and prepare patients and families for discussing these decisions. To ensure these tools are effective, usable, and understandable, studies are needed to identify patients’, families’, and providers’ primary decision-making needs and optimal design strategies for a web-based patient decision aid. OBJECTIVE Following international guidelines for development of a web-based patient decision aid, the objectives of this study were to: 1) engage potential users to guide development; 2) review the existing literature and available tools; 3) assess users’ decision-making experiences, needs, and design recommendations; and 4) identify shared decision-making approaches to address each need. METHODS This study used the Decisional Needs Assessment approach, including creating a Stakeholder Advisory Panel, mapping decision pathways, conducting an environmental scan of existing materials, and administering a decisional needs assessment questionnaire. Thematic analyses identified the current decision-making pathways, unmet decision-making needs, and decision support strategies to meet each need. RESULTS Stakeholders reported wide heterogeneity in decision timing and pathways. Relevant existing materials included two systematic reviews, 9 additional papers, and multiple educational websites, but nothing that met the criteria of a patient decision aid. Patients and family members emphasized needing plain language (46 of 54, 85%), shared decision making (45 of 54, 83%), and help with family discussions (39 of 54, 72%). Additional needs included information about uncertainty, lived experience, and costs. Providers (n = 10) reported needing interventions that address misinformation (9 of 10, 90%), foster realistic expectations (9 of 10, 90%), and address mistrust in clinical trials (5 of 10, 50%). Additional needs included provider tools to support shared decision making. Both groups recommended designing a web-based patient decision aid that can be tailored (64 of 64, 100%) and delivered on a hospital website (53 of 64, 83%), and that focuses on quality of life (45 of 64, 70%) and provides step-by-step guidance (43 of 64, 67%). The study team identified best practices to meet each need, which are presented in the proposed Decision Support Design Guide. CONCLUSIONS Patients, families, and providers report multifaceted decision support needs during the chronic phase of cancer. Web-based patient decision aids are needed that provide tailored support over time, and explicitly address uncertainty, quality of life, realistic expectations, and effects on families.


Author(s):  
Jack Dowie ◽  
Mette Kjer Kaltoft ◽  
Vije Kumar Rajput

Empirical measures of ‘decision aid quality’, like normative ones, are of a formative construct and therefore embody interest-conflicted preferences in their criteria selection and weighting. The preferences of the International Patient Decision Aid Standards consortium distinguish the quality of the decision-making process and the quality of the choice that is made ‘(i.e., decision quality)’. The Decision Conflict Scale features heavily in their profile measure of the former and Decision Quality Instruments (DQIs), have been developed by members of the consortium to measure the latter. We confirm that both of these, and other components, like the higher-level measures, are preference-sensitive and interest-conflicted. Non-financial interest-conflicted preferences are endemic in healthcare research, policy-making, and practice. That they are inevitable means the main problem lies in the denial of this and attitude to and behaviour towards alternatives, equally interest-conflicted.


2018 ◽  
Vol 28 (3) ◽  
pp. 593-607 ◽  
Author(s):  
Claudia Rutherford ◽  
Madeleine T. King ◽  
Phyllis Butow ◽  
France Legare ◽  
Anne Lyddiatt ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Alana Fisher ◽  
Rachael Keast ◽  
Daniel Costa ◽  
Louise Sharpe ◽  
Vijaya Manicavasagar ◽  
...  

Abstract Background Many patients with bipolar II disorder (BPII) prefer to be more informed and involved in their treatment decision-making than they currently are. Limited knowledge and involvement in one’s treatment is also likely to compromise optimal BPII management. This Phase II RCT aimed to evaluate the acceptability, feasibility, and safety of a world-first patient decision-aid website (e-DA) to improve treatment decision-making regarding options for relapse prevention in BPII. The e-DA’s potential efficacy in terms of improving quality of the decision-making process and quality of the decision made was also explored. Methods The e-DA was based on International Patient Decision-Aid Standards and developed via an iterative co-design process. Adults with BPII diagnosis (n = 352) were recruited through a specialist outpatient clinical service and the social media of leading mental health organisations. Participants were randomised (1:1) to receive standard information with/without the e-DA (Intervention versus Control). At baseline (T0), post-treatment decision (T1) and at 3 months’ post-decision follow-up (T2), participants completed a series of validated and purpose-designed questionnaires. Self-report and analytics data assessed the acceptability (e.g., perceived ease-of-use, usefulness; completed by Intervention participants only), safety (i.e., self-reported bipolar and/or anxiety symptoms), and feasibility of using the e-DA (% accessed). For all participants, questionnaires assessed constructs related to quality of the decision-making process (e.g., decisional conflict) and quality of the decision made (e.g., knowledge of treatment options and outcomes). Results Intervention participants endorsed the e-DA as acceptable and feasible to use (82.1–94.6% item agreement); most self-reported using the e-DA either selectively (51.8%; relevant sections only) or thoroughly (34%). Exploratory analyses indicated the e-DA’s potential efficacy to improve decision-making quality; most between-group standardised mean differences (SMD) were small-to-moderate. The largest potential effects were detected for objective treatment knowledge (− 0.69, 95% CIs − 1.04, − 0.33 at T1; and − 0.57, 95% CIs − 0.99,-0.14 at T2), decisional regret at T2 (0.42, 95% CIs 0.01, 0.84), preparation for decision-making at T1 (− 0.44, 95% CIs − 0.81, − 0.07), and the Decisional Conflict Scale Uncertainty subscale (0.42, 95% CIs 0.08, 0.08) and Total (0.36, 95% CIs 0.30, 0.69) scores, with all SMDs favouring the Intervention over the Control conditions. Regarding safety, e-DA use was not associated with worse bipolar symptoms or anxiety. Conclusion The e-DA appears to be acceptable, feasible, safe and potentially efficacious at improving patients’ decision-making about BPII treatment. Findings also support the future adoption of the e-DA into patient care for BPII to foster treatment decisions based on the best available evidence and patient preferences. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12617000840381 (prospectively registered 07/06/2017).


2021 ◽  
pp. 0272989X2110141
Author(s):  
Holly O. Witteman ◽  
Kristin G. Maki ◽  
Gratianne Vaisson ◽  
Jeanette Finderup ◽  
Krystina B. Lewis ◽  
...  

Background The 2013 update of the evidence informing the quality dimensions behind the International Patient Decision Aid Standards (IPDAS) offered a model process for developers of patient decision aids. Objective To summarize and update the evidence used to inform the systematic development of patient decision aids from the IPDAS Collaboration. Methods To provide further details about design and development methods, we summarized findings from a subgroup ( n = 283 patient decision aid projects) in a recent systematic review of user involvement by Vaisson et al. Using a new measure of user-centeredness (UCD-11), we then rated the degree of user-centeredness reported in 66 articles describing patient decision aid development and citing the 2013 IPDAS update on systematic development. We contacted the 66 articles’ authors to request their self-reports of UCD-11 items. Results The 283 development processes varied substantially from minimal iteration cycles to more complex processes, with multiple iterations, needs assessments, and extensive involvement of end users. We summarized minimal, medium, and maximal processes from the data. Authors of 54 of 66 articles (82%) provided self-reported UCD-11 ratings. Self-reported scores were significantly higher than reviewer ratings (reviewers: mean [SD] = 6.45 [3.10]; authors: mean [SD] = 9.62 [1.16], P < 0.001). Conclusions Decision aid developers have embraced principles of user-centered design in the development of patient decision aids while also underreporting aspects of user involvement in publications about their tools. Templates may reduce the need for extensive development, and new approaches for rapid development of aids have been proposed when a more detailed approach is not feasible. We provide empirically derived benchmark processes and a reporting checklist to support developers in more fully describing their development processes. [Box: see text]


Sign in / Sign up

Export Citation Format

Share Document