Clinical Decision-Making Clinical Trial
— eLSDAOfficial title:
Development of an Individualized, Web-Based Life Support Decision Aid (eLSDA) Concerning Goals of Care for the Seriously Ill Patient
NCT number | NCT03271658 |
Other study ID # | BEH12334 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | June 1, 2014 |
Est. completion date | January 29, 2017 |
Verified date | October 2018 |
Source | University of Saskatchewan |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Patients and families want to be involved in healthcare decisions. When the decision-making process does not engage older patients and their families, the care provided does not match patient preferences or meet their needs. Healthcare teams can collaborate to support patients and families facing difficult healthcare decisions, such as decisions about the use of technology used to keep a person alive when they are critically ill. Tools called patient decision aids are used in many health care settings to help patients and families understand their options and figure out the benefits and harms of a treatment to decide what is right for them. The healthcare team can make sure that patients understand the information provided, give them opportunities to ask questions, and help them talk more about the decision with others. This research study is trialing a web based patient decision aid class of intervention. It is anticipated that 120 hospitalized, seriously ill, older adult patients/ families and their healthcare professionals will be recruited. The study will determine if the intervention can improve dialogue about whether life sustaining technology for seriously ill older patients. The findings will contribute to what is already known about overcoming challenges to involving patients and families with a goal of keeping patients and families at the centre of decisions about their health.
Status | Completed |
Enrollment | 120 |
Est. completion date | January 29, 2017 |
Est. primary completion date | January 29, 2017 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 55 Years and older |
Eligibility |
Inclusion Criteria: - Potential users of eLSDA, which are those who are hospitalized, seriously ill, older patients, their families, and their health care providers. - Age 55 + with one or more of the following diseases: 1. Chronic obstructive lung disease 2. Congestive heart failure 3. Cirrhosis 4. Cancer 5. End-stage dementia 6. Renal failure - Any patient 70 + admitted to the hospital from the community because of an acute medical or surgical condition. - Any patient 55 - 69 years of age admitted to the hospital, who has high likelihood of death in the next 6 months, in the opinion of the treating physician. Exclusion Criteria: - People who are not hospitalized or do not have family members that are hospitalized and are not a potential user of the eLSDA. |
Country | Name | City | State |
---|---|---|---|
Canada | Royal University Hospital | Saskatoon | Saskatchewan |
Lead Sponsor | Collaborator |
---|---|
University of Saskatchewan | Saskatchewan Health Research Foundation |
Canada,
Elwyn G, O'Connor A, Stacey D, Volk R, Edwards A, Coulter A, Thomson R, Barratt A, Barry M, Bernstein S, Butow P, Clarke A, Entwistle V, Feldman-Stewart D, Holmes-Rovner M, Llewellyn-Thomas H, Moumjid N, Mulley A, Ruland C, Sepucha K, Sykes A, Whelan T; International Patient Decision Aids Standards (IPDAS) Collaboration. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006 Aug 26;333(7565):417. Epub 2006 Aug 14. — View Citation
Heyland DK, Groll D, Rocker G, Dodek P, Gafni A, Tranmer J, Pichora D, Lazar N, Kutsogiannis J, Shortt S, Lam M; Canadian Researchers at the End of Life Network (CARENET). End-of-life care in acute care hospitals in Canada: a quality finish? J Palliat Care. 2005 Autumn;21(3):142-50. — View Citation
O'Connor AM, Graham ID, Visser A. Implementing shared decision making in diverse health care systems: the role of patient decision aids. Patient Educ Couns. 2005 Jun;57(3):247-9. Review. — View Citation
The Change Foundation. Consumers and Canadian Health Care Trending Analysis 2004. The Change Foundation: Toronto. 2005.
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Acceptability & Usability of the eLSDA | The acceptability and usability is assessed by conducting an Acceptability Survey which asks participants 8 validated questions about the use, amount of information, length, clarity, balance in presentation, willingness to recommend to others and overall suitability for decision making. The intervention will be considered acceptable if score of the acceptability survey exceeds 80%. | up to 15 minutes | |
Secondary | Knowledge about life-sustaining technologies | This knowledge of life-sustaining technologies will be measured after using the eLSDA using the self-report questionnaire. The knowledge questionnaire was developed for this study based on the eLSDA to test users' knowledge of life-sustaining technologies. | up to 15 minutes | |
Secondary | Clarity of values regarding life-sustaining technologies | The patient's values will be collected in the eLSDA. | up to 30 minutes | |
Secondary | Congruence between the documented physician's orders and patient choice | Congruence between documented physician orders and patient choice when participants use the eLSDA and/or based on patient communication during the discussion with their physician will be reported as simple agreement: (Yes/No) | up to 5 minutes | |
Secondary | Feasibility of Evaluation Process | The measures of feasibility are established by the rate of completion of the eLSDA, debriefing and study procedures. The study will be considered feasible if 60% of those approached agreed to participate in the study; >75% of participants discuss the decision about life support during the encounter, <5% of the participants are distressed by the eLSDA, and 80% of participants complete data collection. | up to 30 minutes |
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