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To realize precision medicine, clinicians need to apply a growing number of diagnostic tests. Each test result relies on specific domain expertise; however, integration across a variety of diagnostics poses unique challenges-including financial sustainability of the consultation service. Recent 2022 billing code updates emphasize the value of consultations. Here, we present the design and implementation of a clinical pathology consultation workflow. The core design team consisted of 3 board-certified molecular-genetic pathologists, 1 board-certified genetic counselor, and 1 high-complexity medical technologist. Additional team members included billing operations, electronic medical record (EMR) support staff, compliance, departmental, hospital, and network leadership. The team focused on a modular, EMR-based design with laboratory information management system integration, and compliant documentation and billing practices. The 7-month design process consisted of weekly 30-90 min meetings of the core team supplemented by various meetings with additional team members (estimated total effort ∼170h or ∼10% of a full-time position). The workflow consisted of 7 modules: (1) physician order, (2) triaging module, (3) e-reply no bill, (4) written documentation (limited, without billing), (5) written EMR documentation (comprehensive, with effort-based billing), (6) denial/appeal module, (7) direct patient question module. Since go-live in early 2022, we managed 22 consultations (n=6 comprehensive; n=16 billing-related questions) from 3 network sites. Realizing a precision medicine consultation workflow required significant effort from an interdisciplinary team. The workflow accounted for various administrative and compliance-related aspects and future work will focus on reimbursement, utilization, provider adoption, and optimization of workflows. [ABSTRACT FROM AUTHOR]

Background: Although cerebral palsy is reported to have a higher prevalence in low-resource settings, there are few studies describing risk factors for cerebral palsy in these settings. A better understanding of the unique risk factors affecting children with cerebral palsy in low-resource settings could optimize both resource allocation and preventative strategies.Methods: A case-control study comparing children with cerebral palsy at ages two to 18 years with age-matched healthy control subjects was conducted between 2013 and 2014 at a referral center in Gaborone, Botswana. Study participants were enrolled from inpatient and outpatient settings, and data were collected through caregiver interviews, review of medical records, and physical examination of subjects. Risk factors were evaluated using conditional logistic regression models.Results: We studied 56 subjects with cerebral palsy and 56 age-matched control subjects. Significant risk factors for cerebral palsy included a history of serious neonatal infection (odds ratio 15.0, P = 0.009), complications during delivery (odds ratio 13.5, P < 0.001), and maternal human immunodeficiency virus (HIV) infection (odds ratio 3.5, P = 0.03). Maternal HIV infection remained a significant risk factor after adjusting for potential confounders and covariates (adjusted odds ratio 13.2, P = 0.05).Conclusions: Major risk factors for cerebral palsy in Botswana differ from those described in high-resource settings. Modifiable risk factors such as maternal HIV infection should be targeted as a potential strategy to reduce the incidence of cerebral palsy in Botswana. Further studies are necessary to determine optimal preventative and treatment strategies in this population. [ABSTRACT FROM AUTHOR]

Background: Children with cerebral palsy in low-resource settings are at high risk of malnutrition, which further increases their risk of poor health outcomes. However, there are few available data on specific risk factors for malnutrition among children with cerebral palsy in the developing world.Methods: We performed a case-control study among children with cerebral palsy receiving care at a tertiary care hospital in Gaborone, Botswana. Children with cerebral palsy and malnutrition were identified according to World Health Organization growth curves and compared with subjects with cerebral palsy without malnutrition. Risk factors for malnutrition were identified using multivariable logistic regression models. These risk factors were then used to generate a Malnutrition Risk Score, and Receiver Operating Characteristic curves were used to identify optimal cutoffs to identify subjects at high risk of malnutrition.Results: We identified 61 children with cerebral palsy, 26 of whom (43%) met criteria for malnutrition. Nonambulatory status (odds ratio 13.8, 95% confidence interval [CI] 3.8-50.1, P < 0.001) and a composite measure of socioeconomic status (odds ratio 1.6, 95% CI 1.0-2.5, P = 0.03) were the strongest risk factors for malnutrition. A Malnutrition Risk Score was constructed based on these risk factors, and receiver operating characteristic curve analysis demonstrated excellent performance characteristics of this score (area under the curve 0.92, 95% CI 0.89-0.94).Conclusions: Malnutrition is common among children with cerebral palsy in Botswana, and a simple risk score may help identify children with the highest risk. Further studies are needed to validate this screening tool and to determine optimal nutritional interventions in this population. [ABSTRACT FROM AUTHOR]

Background: Cerebral palsy is the most common cause of motor dysfunction in children worldwide and is often accompanied by multiple comorbidities. Although cerebral palsy has been studied extensively in high-resource settings, there are few published studies on cerebral palsy etiology, outcomes and comorbidities in low-resource settings.Methods: Children with cerebral palsy were prospectively enrolled from inpatient and outpatient settings at a referral center in Gaborone, Botswana, in a cross-sectional study conducted from 2013 to 2014. Cerebral palsy etiology, outcomes, and comorbidities were determined through caregiver interviews, review of medical records, and direct physical examination.Results: Sixty-eight children with cerebral palsy were enrolled. Subjects were 41% male, with a median age of 4 years (interquartile range = 2 to 7). The most common etiologies for cerebral palsy in our cohort were intrapartum hypoxic events (18%), postnatal infections (15%), prematurity (15%), focal ischemic strokes (10%), and prenatal infections (10%). Severe motor impairment was common, with the most severe category present in 41%. The predominant comorbidities were cognitive impairment (84%), epilepsy (77%), and visual impairment (46%).Conclusions: Cerebral palsy in Botswana has different etiologies and is associated with poorer outcomes and higher prevalence of comorbidities than what has been reported in high-resource settings. Further studies are necessary to determine optimal preventative and treatment strategies in this population. [ABSTRACT FROM AUTHOR]