Electronic Consults for Infectious Diseases in a United States Multisite Academic Health System.
Ontology highlight
ABSTRACT:
SUBMITTER: Wood BR
PROVIDER: S-EPMC7166117 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Publications
Electronic Consults for Infectious Diseases in a United States Multisite Academic Health System.
Wood Brian R BR Bender Jessica A JA Jackson Sara S Rosengaus Leah L Pottinger Paul S PS Gottlieb Geoffrey S GS Dhanireddy Shireesha S Harrington Robert D RD Pruzhanskaya Yuliya Y Chew Lisa D LD Scott John D JD
Open forum infectious diseases 20200320 4
We launched Infectious Disease electronic consultations (eConsults) in 2018. During the first 15.5 months, primary care practitioners submitted 328 eConsults; the most frequent reasons were a positive culture or polymerase chain reaction (PCR) result, syphilis, and latent tuberculosis. Practitioners commonly requested advice on antimicrobial choice, clinical evaluation, and indications for treatment. Internal phone consultations decreased after eConsult implementation. ...[more]
Similar Datasets
Project description:BackgroundSafety net healthcare systems have high patient volumes and significant demands for specialty care including infectious diseases (ID) consultations. Electronic ID consults (E-consults) can lessen this burden by providing an alternative to face-to-face ID referrals and decreasing financial, time, and travel constraints on patients. This system could increase access to ID care for patients in limited-resource settings.MethodsWe described characteristics of all outpatient ID E-consults at Parkland Health in Dallas, Texas, from March 2018 to February 2021. We used modeling to determine which characteristics influenced conversion of E-consults to clinic visits and integrated these data into a predictive model for face-to-face conversion.ResultsFor 725 E-consults, common E-consult topics included 118 (16%) latent tuberculosis, 116 (16%) syphilis, and 76 (10%) gastrointestinal infections. Nearly two-thirds of E-consults (456 [63%]) were requested by primary care providers. The majority (78%) were resolved without a face-to-face ID visit. Osteomyelitis, nontuberculous mycobacterial, and gastrointestinal questions frequently required face-to-face visits at rates of 65%, 49%, and 32%, respectively. Our logistic regression model predicted the need for a face-to-face visit with 80% accuracy and an area under the receiver operating characteristic curve of 0.72.ConclusionsAn outpatient ID E-consult program at a safety net healthcare system was an effective tool to provide timely input on common ID topics. E-consults were requested by a range of providers, and most were completed without a face-to-face visit. Predictive modeling identified important characteristics of E-consults and predicted conversion to face-to-face visits with reasonable accuracy.
| S-EPMC9315945 | biostudies-literature
Project description:BackgroundHuman immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) is underutilized in the southern United States. Rapid identification of individuals vulnerable to diagnosis of HIV using electronic health record (EHR)-based tools may augment PrEP uptake in the region.MethodsUsing machine learning, we developed EHR-based models to predict incident HIV diagnosis as a surrogate for PrEP candidacy. We included patients from a southern medical system with encounters between October 2014 and August 2016, training the model to predict incident HIV diagnosis between September 2016 and August 2018. We obtained 74 EHR variables as potential predictors. We compared Extreme Gradient Boosting (XGBoost) versus least absolute shrinkage selection operator (LASSO) logistic regression models, and assessed performance, overall and among women, using area under the receiver operating characteristic curve (AUROC) and area under precision recall curve (AUPRC).ResultsOf 998 787 eligible patients, 162 had an incident HIV diagnosis, of whom 49 were women. The XGBoost model outperformed the LASSO model for the total cohort, achieving an AUROC of 0.89 and AUPRC of 0.01. The female-only cohort XGBoost model resulted in an AUROC of 0.78 and AUPRC of 0.00025. The most predictive variables for the overall cohort were race, sex, and male partner. The strongest positive predictors for the female-only cohort were history of pelvic inflammatory disease, drug use, and tobacco use.ConclusionsOur machine-learning models were able to effectively predict incident HIV diagnoses including among women. This study establishes feasibility of using these models to identify persons most suitable for PrEP in the South.
| S-EPMC10202432 | biostudies-literature
Project description:Background Despite its high prevalence and clinical significance, clinical measurement of lipoprotein(a) is rare but has not been systematically quantified. We assessed the prevalence of lipoprotein(a) testing overall, in those with various cardiovascular disease (CVD) conditions and in those undergoing cardiac testing across 6 academic medical centers associated with the University of California, in total and by year from 2012 to 2021. Methods and Results In this observational study, data from the University of California Health Data Warehouse on the number of individuals with unique lipoprotein(a) testing, unique CVD diagnoses (using International Classification of Diseases, Tenth Revision [ICD-10], codes), and other unique cardiac testing were collected. The proportion of total individuals, the proportion of individuals with a given CVD diagnosis, and the proportion of individuals with a given cardiac test and lipoprotein(a) testing any time during the study period were calculated. From 2012 to 2021, there were 5 553 654 unique adults evaluated in the University of California health system, of whom 18 972 (0.3%) had lipoprotein(a) testing. In general, those with lipoprotein(a) testing were more likely to be older, men, and White race, with a greater burden of CVD. Lipoprotein(a) testing was performed in 6469 individuals with ischemic heart disease (2.9%), 836 with aortic stenosis (3.1%), 4623 with family history of CVD (3.3%), 1202 with stroke (1.7%), and 612 with coronary artery calcification (6.1%). For most conditions, the prevalence of testing in the same year as the diagnosis of CVD was relatively stable, with a small upward trend over time. Lipoprotein(a) testing was performed in 10 753 individuals (1.8%) who had lipid panels, with higher rates with more specialized testing, including coronary computed tomography angiography (6.8%) and apolipoprotein B (63.0%). Conclusions Lipoprotein(a) testing persists at low rates, even among those with diagnosed CVD, and remained relatively stable over the study period.
| S-EPMC10547299 | biostudies-literature
Project description:BackgroundPatients have typically received health care through face-to-face encounters. However, expansion of electronic communication and electronic health records (EHRs) provide alternative means for patient and physicians to interact. Electronic consultations may complement regular healthcare by providing "better, faster, cheaper" processes for diagnosing, treating, and monitoring health conditions. Virtual consultation between physicians may provide a method of streamlining care, potentially saving patients the time and expense of added visits. The purpose of this study was to compare physician usage and patient satisfaction with virtual consultations (VCs) with traditional consultations (TCs) facilitated within an EHR.MethodsWe conducted an observational case-control survey study within Kaiser Permanente, Colorado. A sample of patients who had VCs requested by physicians (N = 270) were matched with patients who had TCs requested by physicians (N = 270), by patient age, gender, reason for the consult, and specialty department. These patients (VC and TC), were invited to participate in a satisfaction survey. In addition, 205 primary care physicians who submitted a VC or TC were surveyed.ResultsDuring the study period, 58,146 VC or TC were requested (TC = 96.3%). Patients who completed a satisfaction survey (267 out of 540 patients, 49.4% response rate) indicated they were satisfied with their care, irrespective of the kind of consult (mean 10-point Likert score of 8.5). 88 of 205 primary care physicians surveyed (42.9%) returned at least one survey; VC and TC survey response rates and consulted departments were comparable (p = 0.13). More TCs than VCs requested transfer of patient care (p = 0.03), assistance with diagnosis (p = 0.04) or initiating treatment (p =0.04). Within 3 weeks of the consultation request, 72.1% of respondents reported receiving information from VCs, compared with 33.9% of the TCs (p < 0.001). Utility of information provided by consultants and satisfaction with consultations did not differ between VCs and TCs.ConclusionsReferring physicians received information from consultants more quickly from VCs compared with TCs, but the value and application of information from both types of consultations were similar. VCs may decrease the need for face-to-face specialty encounters without a decrease in the patient's perception of care.
| S-EPMC3502437 | biostudies-literature
Project description:Workers in specific settings and activities are at increased risk for certain infectious diseases. When an infectious disease case occurs in a worker, investigators need to understand the mechanisms of disease propagation in the workplace. Few publications have explored these factors in the United States; a literature search yielded 66 investigations of infectious disease occurring in US workplaces during 2006-2015. Reported cases appear to be concentrated in specific industries and occupations, especially the healthcare industry, laboratory workers, animal workers, and public service workers. A hierarchy-of-controls approach can help determine how to implement effective preventive measures in workplaces. Consideration of occupational risk factors and control of occupational exposures will help prevent disease transmission in the workplace and protect workers' health.
| S-EPMC6390751 | biostudies-literature
Project description:BACKGROUND:While outpatient parenteral antimicrobial therapy (OPAT) is generally considered safe, patients are at risk for complications and thus require close monitoring. The purpose of this study is to determine how OPAT programs are structured and how United States-based infectious diseases (ID) physicians perceive barriers to safe OPAT care. METHODS:We queried members of the Emerging Infections Network (EIN) between November and December 2018 about practice patterns and barriers to providing OPAT. RESULTS:672 members of the EIN (50%) responded to the survey. Seventy-five percent of respondents were actively involved in OPAT, although only 37% of respondents reported ID consultation was mandatory for OPAT. The most common location for OPAT care was at home with home-health support, followed by post-acute-care facilities. Outpatient and inpatient ID physicians were identified as being responsible for monitoring laboratory results (73% and 54% of respondents, respectively), but only 36% had a formal OPAT program. The majority of respondents reported a lack of support in data analysis (80%), information technology (66%), financial assistance (65%), and administrative assistance (60%). Perceived amount of support did not differ significantly across employment models. Inability to access laboratory results in a timely manner, lack of leadership awareness of OPAT value, and failure to communicate with other providers administering OPAT were reported as the most challenging aspects of OPAT care. CONCLUSION:ID providers are highly involved in OPAT, but only a third of respondents have a dedicated OPAT program. Lack of financial and institutional support are perceived as significant barriers to providing safe OPAT care.
| S-EPMC6765349 | biostudies-other
Project description:Reporting of infectious diseases other than COVID-19 has been greatly decreased throughout the COVID-19 pandemic. We find this decrease varies by routes of transmission, reporting state, and COVID-19 incidence at the time of reporting. These results underscore the need for continual investment in routine surveillance efforts despite pandemic conditions.
| S-EPMC8344600 | biostudies-literature
Project description:BackgroundInfectious diseases consultation improves outcomes in patients with candidemia, although some facilities lack access to consultation. This multisite health care system study compared in-hospital mortality in patients with candidemia across 3 groups-those who received on-site consultation, telemedicine consultation, or no consultation. All patients were reviewed by an antimicrobial stewardship pharmacist.MethodsA retrospective observational cohort study was performed of adult hospitalized patients with candidemia from January 2018 to October 2021. The primary outcome was in-hospital mortality. Secondary outcomes included receipt and duration of antifungals, removal of central venous lines if present, ophthalmologic examination, echocardiography, and determination of infection source.ResultsA total of 265 patients were evaluated: 187 in the on-site consultation group, 49 in the telemedicine consultation group, and 29 in the nonconsultation group. Although in-hospital mortality did not differ significantly between the on-site and nonconsultation groups, it was significantly lower in the telemedicine group when compared with the nonconsultation group (10.2% vs 34.5%, P = .009). Patients who received on-site or telemedicine consultation had significantly more antifungal therapy initiated, appropriate therapy duration, central lines removed, and echocardiography performed, as well as fewer unknown candidemia sources, vs those in the nonconsultation group.ConclusionsThis is the first study of a multisite health care system providing telemedicine services to evaluate the impact of infectious diseases consultation on candidemia mortality. These findings suggest that when on-site consultation is unavailable, infectious diseases telemedicine consultation and antimicrobial stewardship can improve outcomes and should be considered for all patients with candidemia at resource-limited sites.
| S-EPMC10405132 | biostudies-literature
Project description:In the United States, tropical cyclones cause destructive flooding that can lead to adverse health outcomes. Storm-driven flooding contaminates environmental, recreational, and drinking water sources, but few studies have examined effects on specific infections over time. We used 23 years of exposure and case data to assess the effects of tropical cyclones on 6 waterborne diseases in a conditional quasi-Poisson model. We separately defined storm exposure for windspeed, rainfall, and proximity to the storm track. Exposure to storm-related rainfall was associated with a 48% (95% CI 27%-69%) increase in Shiga toxin-producing Escherichia coli infections 1 week after storms and a 42% (95% CI 22%-62%) in increase Legionnaires' disease 2 weeks after storms. Cryptosporidiosis cases increased 52% (95% CI 42%-62%) during storm weeks but declined over ensuing weeks. Cyclones are a risk to public health that will likely become more serious with climate change and aging water infrastructure systems.
| S-EPMC10370842 | biostudies-literature
Project description:HMG-CoA reductase inhibitors (or "statins") are important and commonly used medications to lower cholesterol and prevent cardiovascular disease. Nearly half of patients stop taking statin medications one year after they are prescribed leading to higher cholesterol, increased cardiovascular risk, and costs due to excess hospitalizations. Identifying which patients are at highest risk for not adhering to long-term statin therapy is an important step towards individualizing interventions to improve adherence. Electronic health records (EHR) are an increasingly common source of data that are challenging to analyze but have potential for generating more accurate predictions of disease risk. The aim of this study was to build an EHR based model for statin adherence and link this model to biologic and clinical outcomes in patients receiving statin therapy. We gathered EHR data from the Military Health System which maintains administrative data for active duty, retirees, and dependents of the United States armed forces military that receive health care benefits. Data were gathered from patients prescribed their first statin prescription in 2005 and 2006. Baseline billing, laboratory, and pharmacy claims data were collected from the two years leading up to the first statin prescription and summarized using non-negative matrix factorization. Follow up statin prescription refill data was used to define the adherence outcome (> 80 percent days covered). The subsequent factors to emerge from this model were then used to build cross-validated, predictive models of 1) overall disease risk using coalescent regression and 2) statin adherence (using random forest regression). The predicted statin adherence for each patient was subsequently used to correlate with cholesterol lowering and hospitalizations for cardiovascular disease during the 5 year follow up period using Cox regression. The analytical dataset included 138 731 individuals and 1840 potential baseline predictors that were reduced to 30 independent EHR "factors". A random forest predictive model taking patient, statin prescription, predicted disease risk, and the EHR factors as potential inputs produced a cross-validated c-statistic of 0.736 for classifying statin non-adherence. The addition of the first refill to the model increased the c-statistic to 0.81. The predicted statin adherence was independently associated with greater cholesterol lowering (correlation = 0.14, p < 1e-20) and lower hospitalization for myocardial infarction, coronary artery disease, and stroke (hazard ratio = 0.84, p = 1.87E-06). Electronic health records data can be used to build a predictive model of statin adherence that also correlates with statins' cardiovascular benefits.
| S-EPMC5695792 | biostudies-literature