scholarly journals Web-Based Training for Nurses on Using a Decision Aid to Support Shared Decision Making about Prenatal Screening: a Controlled Trial (Preprint)

JMIR Nursing ◽  
10.2196/31380 ◽  
2021 ◽  
Author(s):  
Alex Poulin Herron ◽  
Titilayo Tatiana Agbadje ◽  
Sabrina Guay-Bélanger ◽  
Gérard Ngueta ◽  
Geneviève Roch ◽  
...  
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.


BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e026588 ◽  
Author(s):  
Julia Frost ◽  
Andy Gibson ◽  
Obioha Ukoumunne ◽  
Bijay Vaidya ◽  
Nicky Britten

ObjectiveTo explore whether a preconsultation web-based intervention enables patients with diabetes to articulate their agenda in a consultation in the hospital outpatient clinic with their diabetologist.Methods and designA qualitative study embedded in a pragmatic pilot randomised controlled trial.SettingTwo city outpatient departments in England.Participants25 patients attending a follow-up consultation and 6 diabetologists.InterventionThe PACE-D, a web-based tool adapted for patients with diabetes to use before their consultation to generate an agenda of topics to discuss with their diabetologist.Data collection25 participants had their consultation with their diabetologist audio-recorded: 12 in the control arm and 13 in the intervention arm; 12 of the latter also had their PACE-D intervention session and a consultation recorded. Semi-structured interviews with 6 diabetologists, and 12 patients (6 in the intervention group and 6 in the control group).AnalysisThematic discourse analysis undertaken with patient representatives trained in qualitative data analysis techniques.ResultsWe identified four consultation types: diabetologist facilitated; patient identified; consultant facilitated and patient initiated and patient ignored. We also identified three critical aspects that explained the production and utilisation of the agenda form: existing consultative style; orientation to the use of the intervention and impact on the consultation. Where patients and diabetologists have a shared preference for a consultant-led or patient-led consultation, the intervention augments effective communication and shared decision making. However, where preferences diverge (eg, there is a mismatch in patients' and diabetologists' preferences and orientations), the intervention does not improve the potential for shared decision making.ConclusionA simple web-based intervention facilitates the articulation of patients’ unvoiced agenda for a consultation with their diabetologist, but only when pre-existing consultation styles and orientations already favour shared decision making. More needs to be done to translate patient empowerment in the consultation setting into genuine self-efficacy.Trial registration numberISRCTN75070242.


2020 ◽  
Author(s):  
Alex Poulin Herron ◽  
Titilayo Tatiana Agbadjé ◽  
Mélissa Côté ◽  
Codjo-Djignefa Djade ◽  
Geneviève Roch ◽  
...  

BACKGROUND Pregnant women have difficulty choosing from amongst the wide variety of available prenatal screening options. To help pregnant women and their partners make informed decisions based on their values, needs, and preferences, a decision aid (DA) and a web-based shared decision making (SDM) training program for health professionals have been developed. In Canada, nurses have responsibilities regarding maternity care and thus the potential to do decision coaching on prenatal screening. However, there is a gap of knowledge concerning the effectiveness of SDM interventions in this area of nursing practice. OBJECTIVE This study aims to assess the impact of an SDM training program on nurses’ intention to use a decision aid for prenatal screening as well as their knowledge and overall appreciation of the training. METHODS This is a two-arm parallel randomized trial. Nurses working with pregnant women from the province of Quebec, and speaking in French, will be recruited online by a private survey firm. They will be randomly allocated (1:1 ratio) to either an experimental group, which will complete a web-based SDM training program for prenatal screening, or to a control group, which will complete a web-based training program focusing on prenatal screening alone. The experimental intervention consists of a three hour web-based and fully automated training activity hosted on the University Laval platform and has four modules: 1) SDM; 2) Down syndrome prenatal screening; 3) DA; and 4) Communication between healthcare professionals and the patient. For the control group, the topic of SDM in Module 1 has been replaced with “Context and history of prenatal screening” and the topic of DA in Module 3 has been replaced with “Consent in prenatal screening.” In addition to sociodemographic questions using a self-administered questionnaire with closed ended questions, we will assess 1) intention to use a DA in prenatal screening clinical practice; 2) knowledge; 3) satisfaction with the training; 4) acceptability; and 5) perceived usefulness. The randomization will be done by a predetermined sequence and include 36 nurses. Participants and researchers will be blinded. Intention to use DA will be assessed by a Student t test and bivariate and multivariate analysis will be performed to assess knowledge and overall appreciation of the training. RESULTS This study is ongoing and results will be available at the end of 2020 CONCLUSIONS This study results will inform on the impact of an SDM training program on nurses’ intention to use a decision aid for prenatal screening as well as their knowledge and overall appreciation of the training. It will also provide feedback on ways to upgrade the SDM training program, if needed. CLINICALTRIAL ClinicalTrials.gov ID NCT04162288


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Catherine H. Yu ◽  
Farid Medleg ◽  
Dorothy Choi ◽  
Catherine M. Spagnuolo ◽  
Lakmini Pinnaduwage ◽  
...  

Abstract Background MyDiabetesPlan is a web-based, interactive patient decision aid that facilitates patient-centred, diabetes-specific, goal-setting and shared decision-making (SDM) with interprofessional health care teams. Objective Assess the feasibility of (1) conducting a cluster randomized controlled trial (RCT) and (2) integrating MyDiabetesPlan into interprofessional primary care clinics. Methods We conducted a cluster RCT in 10 interprofessional primary care clinics with patients living with diabetes and at least two other comorbidities; half of the clinics were assigned to MyDiabetesPlan and half were assigned to usual care. To assess recruitment, retention, and resource use, we used RCT conduct logs and financial account summaries. To assess intervention fidelity, we used RCT conduct logs and website usage logs. To identify barriers and facilitators to integration of MyDiabetesPlan into clinical care across the IP team, we used audiotapes of clinical encounters in the intervention groups. Results One thousand five hundred and ninety-seven potentially eligible patients were identified through searches of electronic medical records, of which 1113 patients met the eligibility criteria upon detailed chart review. A total of 425 patients were randomly selected; of these, 213 were able to participate and were allocated (intervention: n = 102; control: n = 111), for a recruitment rate of 50.1%. One hundred and fifty-one patients completed the study, for a retention rate of 70.9%. A total of 5745 personnel-hours and $6104 CAD were attributed to recruitment and retention activities. A total of 179 appointments occurred (out of 204 expected appointments—two per participant over the 12-month study period; 87.7%). Forty (36%), 25 (23%), and 32 (29%) patients completed MyDiabetesPlan at least twice, once, and zero times, respectively. Mean time for completion of MyDiabetesPlan by the clinician and the patient during initial appointments was 37 min. From the clinical encounter transcripts, we identified diverse strategies used by clinicians and patients to integrate MyDiabetesPlan into the appointment, characterized by rapport building and individualization. Barriers to use included clinician-related, patient-related, and technical factors. Conclusion An interprofessional approach to SDM using a decision aid was feasible. Lower than expected numbers of diabetes-specific appointments and use of MyDiabetesPlan were observed. Addressing facilitators and barriers identified in this study will promote more seamless integration into clinical care. Trial registration Clinicaltrials.gov Identifier: NCT02379078. Date of Registration: February 11, 2015. Protocol version: Version 1; February 26, 2015.


Sign in / Sign up

Export Citation Format

Share Document