ArticleCureus2023
Determinants and Disparities of Neurosurgery Patients Refusing Inpatient Palliative Care After Provider Recommendation.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Machine Learning Reveals Demographic Disparities in Palliative Care Timing Among Patients With Traumatic Brain Injury Receiving Neurosurgical Consultation.Neurocritical care · 2025Article
- Machine Learning Identifies Variation in Timing of Palliative Care Consultations Among Traumatic Brain Injury Patients.Research square · 2024Article
- Risks Associated with Quality Care among Hispanic and White Populations-A Cross-Sectional Comparison Study.Healthcare (Basel, Switzerland) · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Disparities have been found in the utilization of palliative care (PC). However, a limitation of existing research is that it co-mingles factors affecting whether a patient is offered PC with factors affecting whether a patient accepts/refuses PC. Our objective is to identify the determinants and disparities of neurosurgery patients accepting/refusing inpatient PC after a provider recommends an inpatient PC consult. Methodology In this single-center retrospective cohort study, the last 750 consecutive neurosurgery patient medical records were screened. Inclusion criteria were as follows: (1) the patient was seen by the neurosurgery service during their hospitalization and (2) the patient had a documented inpatient PC consult ordered or the patient had at least one progress note documenting PC in the plan of care. Excluded were patients not seen by the neurosurgery service during the hospitalization in which the PC consult order or plan was documented. Analysis was performed using multivariate logistic regression with backward stepwise variable selection. Candidate variables included age, gender, race, ethnicity, language, marital status, insurance type, surrogate decision-maker (SDM) relationship to patient, advanced directive, Charlson Comorbidity Index (CCI), ambulation, activities of daily living (ADL) dependence, primary diagnosis category, Glasgow Coma Scale (GCS) at the time of admission, GCS at the time of PC consult, GCS at the time of discharge, duration of hospitalization, and hospitalization mortality. Results Of the last 750 neurosurgery patients, this study included 144 patients (33.3% female; mean age 57.53±19.89 years). Among these patients, 109 patients (75.7%) accepted PC and 35 patients (24.3%) refused PC. Univariate analysis showed that patients refusing PC tended to be older (p=0.003) and have a shorter duration of hospitalization (p=0.023). Chi-squared analysis found associations between PC acceptance/refusal and preferred language (p=0.026), religion (p<0.001), and SDM relationship to patient (p=0.004). Multivariate logistic regression found that predictors of PC refusal were older age (OR=0.965, p=0.049), non-English (OR=0.219, p=0.004), adult child SDM (OR=0.246, p=0.023), and other relative/friend SDM (OR=0.208, p=0.011). Religious patients were more likely to accept PC (OR=7.132, p<0.001). Race and ethnicity factors were not found to be significant predictors of PC refusal: Black (p=0.649), other race (p=0.189), and Hispanic (p=0.525). Conclusion Nearly one-quarter of neurosurgery patients offered PC refused this care. Predictors of PC refusal were older age, non-English, adult child SDM, and other relative/friend SDM. Religious patients were more likely to accept PC. Race and ethnicity were not found to be significant predictors of accepting/refusing PC, which may suggest these previously identified disparities stem from minority patients being offered less PC. Additional research is needed to replicate these findings among different patient populations. Because PC is compatible with life-prolonging therapies and aims to provide additional emotional and spiritual support to the patient and family, the finding that nearly one-quarter of patients refused PC may demonstrate a pervasive misconception and need for patient education.
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