Increased utilization of healthcare services in children with craniosynostosis.
Journal of neurosurgery. Pediatrics
Craniosynostosis is characterized by the premature fusion of at least one cranial suture. Although evidence suggests that patients with both syndromic and nonsyndromic craniosynostosis may benefit from developmental, behavioral, and mental health support, data on utilization of healthcare services are lacking. In this study the authors compared utilization of mental health care, rehabilitation therapies, and other specialty medical services among children with craniosynostosis, children with plagiocephaly, and healthy controls.The Optum Clinformatics Data Mart database was queried to identify 1340 patients with craniosynostosis, of whom 200 had syndromic craniosynostosis. Long-term utilization of mental health care, rehabilitation therapies, and other medical services up to the age of 6 years was calculated. Rates of utilization were compared to healthy controls (n = 1577) and children with plagiocephaly (n = 1249).Patients with syndromic and nonsyndromic craniosynostosis used mental health care, occupational therapy, speech-language pathology, and other medical services at similar rates (p = 0.1198, p > 0.9999, p = 0.1097, and p = 0.8119, respectively). Mental health services were used more frequently by patients with craniosynostosis (11.0% in patients with syndromic craniosynostosis and 7.5% in those with nonsyndromic craniosynostosis) compared to patients in the plagiocephaly (5.0%, p = 0.0020) and healthy control (2.9%, p < 0.0001) cohorts. Rehabilitation therapies were more frequently used by patients with syndromic craniosynostosis and plagiocephaly (16.0% and 14.1%, respectively), which was significantly higher than use by healthy controls (p < 0.0001). Other medical subspecialty services (developmental pediatrics, ophthalmology, optometry, and audiology) were used by 37.0% of patients with craniosynostosis, compared with 20.9% (p < 0.0001) and 15.1% (p < 0.0001) of patients with plagiocephaly and healthy controls, respectively. Among patients with craniosynostosis, utilization did not differ by race or household income, but it was not uniform by age. Whereas ophthalmology utilization did not differ by age (p = 0.1003), mental health care was most commonly used among older children (p = 0.0107).In this study, the authors demonstrate that rates of utilization of mental health care, rehabilitation therapies, and other medical subspecialty services are similar between patients with syndromic and those with nonsyndromic craniosynostosis, but higher than in healthy controls. Although surgical correction may be considered an isolated event, providers and parents need to monitor all children with craniosynostosis-syndromic and nonsyndromic-for developmental and mental health support longitudinally. Future work should explore risk factors driving utilization, including suture involvement, repair type, and comorbidities.
View details for DOI 10.3171/2022.2.PEDS2253
View details for PubMedID 35426826
Quality of Life and Role of Palliative and Supportive Care for Patients With Brain Metastases and Caregivers: A Review
Frontiers in Neurology
View details for DOI 10.3389/fneur.2022.806344
Assessment of level of care recommendations and nursing acuity scores following an appropriateness of care intervention
BMJ Open Quality
View details for DOI 10.1136/bmjoq-2021-001688
Development of an integrated risk scale for prediction of shunt placement after neonatal intraventricular hemorrhage.
Journal of neurosurgery. Pediatrics
Neonatal intraventricular hemorrhage (IVH) is a major cause of mortality and morbidity, particularly following premature birth. Even after the acute phase, posthemorrhagic hydrocephalus is a long-term complication, frequently requiring permanent ventriculoperitoneal shunt (VPS) placement. Currently, there are no risk classification methods integrating the constellation of clinical data to predict short- and long-term prognosis in neonatal IVH. To address this need, the authors developed a two-part machine learning approach for predicting short- and long-term outcomes after diagnosis of neonatal IVH. Integrating both maternal and neonatal characteristics, they developed a binary classifier to predict short-term mortality risk and a clinical scale to predict the long-term risk of VPS placement.Neonates with IVH were identified from the Optum Clinformatics Data Mart administrative claims database. Matched maternal and childbirth characteristics were obtained for all patients. The primary endpoints of interest were short-term (30 day) mortality and long-term VPS placement. Classification of short-term mortality risk was evaluated using 5 different machine learning approaches and the best-performing method was validated using a withheld validation subset. Prediction of long-term shunt risk was performed using a multivariable Cox regression model with stepwise variable selection, which was subsequently converted to an easily applied integer risk scale.A total of 5926 neonates with IVH were identified. Most patients were born before 32 weeks' gestation (67.2%) and with low birth weight (81.2%). Empirical 30-day mortality risk was 10.9% across all IVH grades and highest among grade IV IVH (34.3%). Among the neonates who survived > 30 days, actuarial 12-month postdiagnosis risk of shunt placement was 5.4% across all IVH grades and 31.3% for grade IV IVH. The optimal short-term risk classifier was a random forest model achieving an area under the receiver operating characteristic curve of 0.882 with important predictors ranging from gestational age to diverse comorbid medical conditions. Selected features for long-term shunt risk stratification were IVH grade, respiratory distress syndrome, disseminated intravascular coagulation, and maternal preeclampsia or eclampsia. An integer risk scale, termed the Shunt Prediction After IVH in Neonates (SPAIN) scale, was developed from these 4 features, which, evaluated on withheld cases, demonstrated improved risk stratification compared with IVH grade alone (Harrell's concordance index 0.869 vs 0.852).In a large cohort of neonates with IVH, the authors developed a two-pronged, integrated, risk classification approach to anticipate short-term mortality and long-term shunt risk. The application of such approaches may improve the prognostication of outcomes and identification of higher-risk individuals who warrant careful surveillance and early intervention.
View details for DOI 10.3171/2021.11.PEDS21390
View details for PubMedID 35090135
Physicians Leading Physicians: A Physician Engagement Intervention Decreases Inappropriate Use of IICU Level of Care Accommodations.
American journal of medical quality : the official journal of the American College of Medical Quality
Following the adoption of an acuity-adaptable unit model in an academic medical center, a $13M increase in cost of intermediate intensive care unit (IICU) accommodations was observed. The authors followed A3 methodology to determine the root cause of this increase and developed a 3-prong intervention centered on physician engagement, given that physicians have the ability to order a patient's level of care. This intervention consisted of: (1) identifying physician champions to promote appropriate IICU use, (2) visual changes to essential electronic medical record tools, and (3) data-driven feedback to physician champions. In the year following intervention deployment, average IICU length of stay decreased from 1.08 to 0.62 days and average IICU use decreased from 21.4% to 12.3%, corresponding to ~$5.7M cost savings with no significant change in balancing measures observed. Together, these results demonstrate that a multicomponent intervention aimed at engaging physicians reduced inappropriate IICU use with no increase in adverse events.
View details for DOI 10.1097/01.JMQ.0000735480.43566.f9
View details for PubMedID 33883423
Palliative Care Service Utilization and Advance Care Planning for Adult Glioblastoma Patients: A Systematic Review
2021; 13 (12)
Glioblastoma (GBM) has a median overall survival of 16-21 months. As patients with GBM suffer concurrently from terminal cancer and a disease with progressive neurocognitive decline, advance care planning (ACP) and palliative care (PC) are critical. We conducted a systematic review exploring published literature on the prevalence of ACP, end-of-life (EOL) services utilization (including PC services), and experiences among adults with GBM. We searched from database inception until 20 December 2020. Preferred reporting items for systematic reviews guidelines were followed. Included studies were assessed for quality using the Newcastle-Ottawa Scale. The 16 articles were all nonrandomized studies conducted in six countries with all but two published in 2014 or later. ACP documentation varied from 4-55%, PC referral was pursued in 39-40% of cases, and hospice referrals were made for 66-76% of patients. Hospitalizations frequently occurred at the EOL with 20-56% of patients spending over 25% of their overall survival time hospitalized. Many GBM patients do not pursue ACP or have access to PC. There is a dearth of focused and high-quality studies on ACP, PC, and hospice use among adults with GBM. Prospective studies that address these and additional aspects related to EOL care, such as healthcare costs and inpatient supportive care needs, are needed.
View details for DOI 10.3390/cancers13122867
View details for PubMedCentralID PMC8228109
The COVID-19 Pandemic as an Opportunity for Operational Innovation at 2 Student-Run Free Clinics.
Journal of primary care & community health
; 12: 2150132721993631
The onset of the COVID-19 pandemic and subsequent county shelter-in-place order forced the Cardinal Free Clinics (CFCs), Stanford University's 2 student-run free clinics, to close in March 2020. As student-run free clinics adhering to university-guided COVID policies, we have not been able to see patients in person since March of 2020. However, the closure of our in-person operations provided our student management team with an opportunity to innovate. In consultation with Stanford's Telehealth team and educators, we rapidly developed a telehealth clinic model for our patients. We adapted available telehealth guidelines to meet our patient care needs and educational objectives, which manifested in 3 key innovations: reconfigured clinic operations, an evidence-based social needs screen to more effectively assess and address social needs alongside medical needs, and a new telehealth training module for student volunteers. After 6 months of piloting our telehealth services, we believe that these changes have made our services and operations more robust and provided benefit to both our patients and volunteers. Despite an uncertain and evolving public health landscape, we are confident that these developments will strengthen the future operations of the CFCs.
View details for DOI 10.1177/2150132721993631
View details for PubMedID 33615883