自引率: 12%
被引量: 10897
通过率: 暂无数据
审稿周期: 1
版面费用: 暂无数据
国人发稿量: 23
投稿须知/期刊简介:
Journal of Pain and Symptom Management: Including Supportive and Palliative Care provides the professional with the results of important new research on pain and its clinical management. This peer reviewed, internationally respected journal offers a much needed forum for the exchange of ideas and information. The journal boasts an international editorial board including leading researchers and clinicians. Each board member is an active figure in pain or other symptom research and a major contributor to the literature on the diagnosis, treatment, and control of pain. Devoted to providing information that is directly applicable to practice, Journal of Pain and Symptom Management: Including Supportive and Palliative Care features these items in each issue: Review Articles Original Articles Clinical Reports Special Articles Information Exchange
期刊描述简介:
Journal of Pain and Symptom Management: Including Supportive and Palliative Care provides the professional with the results of important new research on pain and its clinical management. This peer reviewed, internationally respected journal offers a much needed forum for the exchange of ideas and information. The journal boasts an international editorial board including leading researchers and clinicians. Each board member is an active figure in pain or other symptom research and a major contributor to the literature on the diagnosis, treatment, and control of pain. Devoted to providing information that is directly applicable to practice, Journal of Pain and Symptom Management: Including Supportive and Palliative Care features these items in each issue: Review Articles Original Articles Clinical Reports Special Articles Information Exchange
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Advance Care Planning Bundle: Using Technical and Adaptive Solutions to Promote Goal Concordant Care.
被引量:- 发表:1970
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Addressing Family Financial Toxicity Across Serious Illnesses.
被引量:- 发表:1970
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Predictive Biomarkers of Dyspnea Response to Dexamethasone and Placebo in Cancer Patients.
被引量:- 发表:1970
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Machine Learning for Targeted Advance Care Planning in Cancer Patients: A Quality Improvement Study.
Prognostication challenges contribute to delays in advance care planning (ACP) for patients with cancer near the end of life (EOL). Examine a quality improvement mortality prediction algorithm intervention's impact on ACP documentation and EOL care. We implemented a validated mortality risk prediction machine learning model for solid malignancy patients admitted from the emergency department (ED) to a dedicated solid malignancy unit at Duke University Hospital. Clinicians received an email when a patient was identified as high-risk. We compared ACP documentation and EOL care outcomes before and after the notification intervention. We excluded patients with intensive care unit (ICU) admission in the first 24 hours. Comparisons involved chi-square/Fisher's exact tests and Wilcoxon rank sum tests; comparisons stratified by physician specialty employ Cochran-Mantel-Haenszel tests. Preintervention and postintervention cohorts comprised 88 and 77 patients, respectively. Most were White, non-Hispanic/Latino, and married. ACP conversations were documented for 2.3% of hospitalizations preintervention vs. 80.5% postintervention (P<0.001), and if the attending physician notified was a palliative care specialist (4.1% vs. 84.6%) or oncologist (0% vs. 76.3%) (P<0.001). There were no differences between groups in length of stay (LOS), hospice referral, code status change, ICU admissions or LOS, 30-day readmissions, 30-day ED visits, and inpatient and 30-day deaths. Identifying patients with cancer and high mortality risk via machine learning elicited a substantial increase in documented ACP conversations but did not impact EOL care. Our intervention showed promise in changing clinician behavior. Further integration of this model in clinical practice is ongoing.
被引量:- 发表:1970
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Culturally Adapted RN-MD Collaborative SICP-Based ACP: Feasibility RCT in Advanced Cancer Patients.
Cultural adaptation is essential for optimizing programs centered around autonomy, such as the Serious Illness Care Program (SICP), especially for populations valuing family-involved decision-making. We aimed to evaluate the feasibility and efficacy of a culturally adapted SICP-based nurse-physician collaborative Advance Care Planning (ACP) intervention tailored for patients with advanced cancer who prefer family-involved decision-making. Oncology nurses, extensively trained and closely collaborating with physicians, conducted structured discussions with patients in the intervention group. The culturally adapted SICP-based ACP intervention was supplemented with trust-building, family involvement, and understanding of patient values. Primary inclusion criteria included patients within six weeks of initiating first-line palliative chemotherapy. Primary endpoints were achieving a 70% completion rate and assessing spiritual well-being (FACIT-Sp) at six months. Secondary endpoints included anxiety (GAD-7), depression (PHQ-9), quality of life (QOL) (CoQoLo), and ACP progress (ACP Engagement Scale) at the same interval. Forty-one patients (67.2%) completed the six-month follow-up, falling short of the targeted completion rate. The least-squares mean change from baseline in spiritual well-being at six months was 3.00 in the intervention group and -2.22 in the standard care group (difference, 5.22 points; 95% confidence interval, 1.38-9.06; P = 0.009). Similar superiority of the intervention was observed in QOL and ACP progress. Despite not meeting the targeted completion rate, the intervention group demonstrated enhanced spiritual well-being, QOL, and ACP progress. Our findings suggest revisions to the intervention manual to improve feasibility and to progress to an efficacy-focused randomized controlled trial.
被引量:- 发表:1970