Fragility fractures, often caused by low bone mineral density, are a major health concern for postmenopausal women. One way to prevent these fractures is by taking medication, but deciding whether to start treatment can be difficult due to potential risks and side effects. This study will test a web-based tool designed to help women make informed decisions about fracture prevention treatment. The tool provides information about the benefits and risks of treatment. Some women in the study will also receive additional support through a decision analysis report, which helps weigh different factors when making a choice. The study will examine whether using this tool improves decision-making, increases confidence in making a choice, and enhances satisfaction with the decision. It will also explore what factors influence women's decisions and at what level of risk they choose to start treatment. By understanding how decision aids impact choices, researchers aim to improve the way healthcare providers support patients in making informed decisions about their health.
Open-label, randomized, open-label, multicenter, three parallel arms, controlled clinical trial. It will be carried out in primary care centers belonging to the Autonomous Communities of Madrid and Catalonia. The participants will be recruited in the medical consultation, by their family doctor, who will assess the fulfillment of the inclusion criteria a priori and according to eligibility, will offer the woman to participate in the study, informing her about the nature of the research. The informed consent form will be signed online, and the inclusion criteria will be verified by the participant herself when accessing the tool. Participation will be voluntary and does not entail economic incentives for the participants. Random assignment will be simple following a 1:1:1 ratio to each group. To avoid possible contamination bias, randomization will be performed at the physician level, so that each professional will be randomized to one of the intervention groups so that he/she will apply exclusively one of the study's interventions to all the participants he/she recruits. Due to the characteristics of the interventions it will not be possible to blind the interveners and participants. After randomization, only the data analysts will be blinded to the randomization sequence. The central research team will primarily contact participants via email to send the decision aid tool link and questionnaire links. They will also follow up to ensure the completion of all data provided by the participants.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Enrollment
114
Women will use the web version of the decision aid tool. They will have a supporting video to help them how to navigate the tool during. They will be able to access the tool through a specific link that will be shared with them by their central research team via e-mail. Each woman is expected to use the web tool and select her preferences (utilities) regarding different health conditions (e.g. hip fracture). The results of the exercises will be received automatically at the central level (by institutional e-mail to the researcher responsible for the data a PDF file will be sent from the web). The research team at the central level will apply the decision analysis model, using information on the baseline fracture risk and preferences of each participant entered into the tool. The results of the decision analysis model will be delivered to the women directly by e-mail in plain language, so that they can make the final decision together with their general practitioner in a second visit.
Participants will use the web tool. They will have a supporting video to help them how to navigate the tool during. They will be able to access the tool through a specific link that will be shared with them by the central research team via e-mail. Each woman is expected to navigate through the different functions of the web tool, at home or at a time other than the medical visit, and select her preferences (utilities) with respect to different health conditions (e.g. hip fracture). The women in this group would decide whether or not to take the pharmacological treatment based on the information provided by the tool but without the results of the decision analysis model described for the intervention group. Subsequently, those who wished to do so would make a final decision together with their physician at a second visit.
Women in this group will receive standard clinical practice, without the use of the shared decision support tool or the decision analysis model or any other support. At the end of the visit, their physician will provide them with a link to access the assessment questionnaires.
Institut de Recerca Hospital de la Santa Creu i Sant Pau
Barcelona, Spain
Decisional conflict
We will use the Decisional conflict scale (O'Connor 1998, updated 2010), to evaluate the uncertainty and the decision-making conflict across participants. It is a 16-item scale. IItems are summed, then multiplied by 25. Scoring goes from 0 (low decisional conflict) to 100 (high decisional conflict). Patients with a total score \>38 tend to delay decisions, whereas those with ≤ 25 tend to make decisions(1, 2) 1. O'Connor AM. Validation of a Decisional Conflict Scale. Med Decis Making \[Internet\]. 1995 Feb;15(1):25-30. Available from: http://dx.doi.org/10.1177/0272989X9501500105 2. Bunn H, O'Connor A. Validation of Client Decision-Making Instruments in the Context of Psychiatry. Can J Nurs Res \[Internet\]. 1996;28(3):13-27. Available from: https://pubmed.ncbi.nlm.nih.gov/8997937/
Time frame: Decisional conflict will be measured one time up to 26 weeks, after participant use of the web-based tool.
Decision self-efficacy
Participants, self-confidence with the decision, will be measured with the Decision Self-efficacy scale (O'Connor 1995, updated 2002) a 11-item 5-point validated scale. Items are summed, then divided by 11 and then multiplied by 25. Scores range from 0 ("extremely low self-efficacy") to 100 ("extremely high"). The scale is reliable and has been validated in different populations (1, 2). 1. Bunn H, O'Connor A. Validation of Client Decision-Making Instruments in the Context of Psychiatry. Can J Nurs Res \[Internet\]. 1996;28(3):13-27. 2. Galiana L, Sánchez-Ruiz J, Gómez-Salgado J, Larkin PJ, Sansó N. Validation of the Spanish Version of the Five-Item General Self-Efficacy (GSE) Scale in a Sample of Nursing Students: Evidence of Validity, Reliability, Longitudinal Invariance and Changes in General Self-Efficacy and Resilience in a Two-Wave Cross-Lagged Panel Model. Nurse Educ Pract \[Internet\]. 2024 Jan;74:103865.
Time frame: Decision-Self-efficacy scale will be applied, up to 26 weeks, after using the decision aid tool.
Participant satisfaction with the decision process
We will measure participants satisfaction with the decision satisfaction scale from Holmes-Rovner 1996 (SWD). SWD scale is a 6-item validated scale scoring from 1 (strongly disagree) to 5 (strongly agree). Higher scores indicate greater satisfaction with the decision (1, 2, 3 1. Holmes-Rovner M, Kroll J, Schmitt N, Rovner DR, Breer ML, Rothert ML, et al. Patient Satisfaction with Health Care Decisions: The Satisfaction with Decision Scale. Med Decis Making \[Internet\]. 1996 Feb;16(1):58-64. doi.org/10.1177/0272989X9601600114 2. Wills CE, Holmes-Rovner M. Preliminary Validation of the Satisfaction With Decision scale with Depressed Primary Care Patients. Health Expect \[Internet\]. 2003 Jun;6(2):149-59. doi.org/10.1046/j.1369-6513.2003.00220.x 3. Chabrera C, Areal J, Font A, Caro M, Bonet M, Zabalegui A. Versión española de la Satisfaction With Decision scale: adaptación transcultural, validez y fiabilidad. Enferm Clin \[Internet\]. 2015 May;25(3):117-23. dx.doi.org/10.1016/j.enfcli.2015.0
Time frame: Satsfaction will be assessed up to 26 weeks, after participant's second visit with their physician.
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