Improving Patient-clinician Communication About End-of-life Care
NCT ID: NCT00374010
Last Updated: 2017-05-31
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
PHASE2
42 participants
INTERVENTIONAL
2005-01-31
2008-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
1. to evaluate the feasibility and acceptability of PC-ACP among African American patients with End-stage Renal Disease and their surrogates and
2. to examine preliminary effects of PC-ACP on patient and surrogate outcomes (patients' perceived quality of communication, surrogates' level of comfort in decision making for the patient, patients' difficulty in making choices, patient-surrogate congruence in goals of care, and patients' and surrogates' psychosocial/spiritual receptiveness) at one week following receipt of the intervention.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Initiating ACP in General Practice. A Phase II Study
NCT02775032
Do Patients Want to Engage in Discussions Dedicated to Anticipating (DDA) Their Preferences of Care in the Event of Worsening Health Status?
NCT04308356
End-of-life Intervention for African American Dementia Caregivers
NCT03323411
Pilot Study of an Advance Care Planning Intervention Among Persons With Dementia
NCT05049291
Integrated Multidisciplinary Patient and Family Advance Care Planning Trial
NCT03609658
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Patient-Centered Advance Care Planning
The PC-ACP is a scheduled interview with the dyad, delivered by a trained nurse facilitator. It consists of 5 stages and lasts about an hour:
1. Representational assessment (10 - 15 minutes);
2. Exploring concerns related to planning for future medical decision-making (10 - 15 minutes);
3. Creating conditions for conceptual change (5 minutes);
4. Introducing replacement information using a disease-specific Statement of Treatment Preferences document (15 minutes); and
5. Summary (3 - 5 minutes)
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
2. are cognitively intact,i.e., able to communicate, able to understand information, able to make choices and give rationale,
3. have an individual who can be present during the intervention as a surrogate decision maker,
4. are over 18 years of age, and
5. are able to communicate in English. Surrogates must be over 18 years of age and be able to communicate in English.
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
University of Pittsburgh
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Mi-Kyung Song, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Pittsburgh School of Nursing
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
0412044
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.