ArticleJournal of oncology practice2018
Evaluation of the Measuring and Improving Quality in Palliative Care Survey.
Article in Journal of oncology practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Conducting Research in Palliative Care as Viewed by Interprofessional Care Teams: Insights from a Cross-Sectional Survey.Palliative medicine reports · 2025Article
- Variation in Palliative Care Program Performance for Patients With Metastatic Cancer.Journal of pain and symptom management · 2025Article
- Accessibility and Quality of Palliative Care-Experience in Primary Health Care.Medicina (Kaunas, Lithuania) · 2024Article
- Situational analysis of the quality of palliative care services across India: a cross-sectional survey.Ecancermedicalscience · 2022Article
- Perceptions of Facilitators and Barriers to Measuring and Improving Quality in Palliative Care Programs.The American journal of hospice & palliative care · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
purposeTo evaluate the reliability, content validity, and variation among sites of a survey to assess facilitators and barriers to quality measurement and improvement in palliative care programs.
methodsWe surveyed a sample of diverse US and Canadian palliative care programs and conducted postcompletion discussion groups. The survey included constructs addressing educational support and training, communication, teamwork, leadership, and prioritization for quality measurement and improvement. We tested internal consistency reliability, described variation among sites, and reported descriptive feedback on content validity.
resultsOf 103 respondents in 11 sites, the most common roles were attending physician (38.9%) and nurse practitioner, clinical nurse specialist, or physician assistant (16.5%). Internal consistency reliability was acceptable (Cronbach's α = .70 to .99) for all but one construct. Results varied across sites by more than 1 point on the 1 to 5 scales between the 10th and 90th percentiles of sites for two constructs in recognition and focus on quality measurement (score range by site, 1.7 to 4.8), one construct in teamwork (score range, 3.1 to 4.6), and five constructs in quality improvement (score range, 1.8 to 4.6). In descriptive content validity evaluation, respondents described the survey as an opportunity for assessing quality initiatives and discussing potential improvements, particularly improvements in communication, training, and engagement of team members regarding program quality efforts.
conclusionThis survey to assess palliative care team perspectives on barriers and facilitators for quality measurement and improvement demonstrated reliability, content validity, and initial evidence of variation among sites. Our findings highlight how palliative care team members' perspectives may be valuable to plan, evaluate, and monitor quality-of-care initiatives.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.