Search

The article presents a court case of a 14-month-old African American male with a history of sickle cell trait and taking no daily medications presented to the emergency department with lethargy. It discusses a case of acquired hemolytic anemia from naphthalene-containing mothballs, along with toxicity related to the pediatric mothball ingestions.

Introduction: Pneumonia is the top communicable cause of death worldwide. Accurate prognostication of patient severity with Community Acquired Pneumonia (CAP) allows better patient care and hospital management. The Pneumonia Severity Index (PSI) was developed in 1997 as a tool to guide clinical practice by stratifying the severity of patients with CAP. While the PSI has been evaluated against other clinical stratification tools, it has not been evaluated against multiple classic machine learning classifiers in various metrics over large sample size.Methods: In this paper, we evaluated and compared the prediction performance of nine classic machine learning classifiers with PSI over 34,720 adult (age 18+) patient records collected from 749 hospitals from 2009 to 2018 in the United States on Receiver Operating Characteristic (ROC) Area Under the Curve (AUC) and Average Precision (Precision-Recall AUC).Results: Machine learning classifiers, such as Random Forest, provided a statistically highly(p < 0.001) significant improvement (∼33% in PR AUC and ∼6% in ROC AUC) compared to PSI and required only 7 input values (compared to 20 parameters used in PSI).Discussion: Because of its ease of use, PSI remains a very strong clinical decision tool, but machine learning classifiers can provide better prediction accuracy performance. Comparing prediction performance across multiple metrics such as PR AUC, instead of ROC AUC alone can provide additional insight. [ABSTRACT FROM AUTHOR]

Background: Despite the United States Preventive Services Task Force recommendation to screen adults for unhealthy alcohol use, the implementation of alcohol screening in primary care remains suboptimal. Methods: A pre and post-implementation study design that used Agile implementation process to increase screening for unhealthy alcohol use in adult patients from October 2021 to June 2022 at a large primary care clinic serving minority and underprivileged adults in Indianapolis. Results: In comparison to a baseline screening rate of 0%, the agile implementation process increased and sustained screening rates above 80% for alcohol use using the Alcohol Use Disorders Identification Test – Consumption tool (AUDIT-C). Conclusions: Using the agile implementation process, we were able to successfully implement evidence-based recommendations to screen for unhealthy alcohol use in primary care. [ABSTRACT FROM AUTHOR]

Background:In 2020, the Centers for Medicare & Medicaid Services reimbursement structure was relaxed to aid in the rapid adoption nationally of telemedicine during the COVID-19 pandemic. Due to limited access to internet service, cellular phone data, and appropriate devices, many patients may be excluded from telemedicine services. Methods:In this study, we present the findings of a survey of patients at an urban primary care clinic regarding their access to the tools needed for telemedicine before and after the COVID-19 pandemic. Patients provided information about their access to internet services, phone and data plans, and their perceived access to and interest in telemedicine. The survey was conducted in 2019 and then again in September of 2020 after expansion of telemedicine services. Results:In 2019, 168 patients were surveyed; and in 2020, 99 patients participated. In both surveys, 30% of respondents had limited phone data, no data, or no phone at all. In 2019, the patient responses showed a statistically significant difference in phone plan types between patients with different insurance plans (p < 0.10), with a higher proportion (39%) of patients with Medicaid or Medicaid waiver having a prepaid phone or no phone at all compared with patients with commercial insurance (26%). The overall awareness rate increased from 17% to 43% in the 2020 survey. Conclusions:This survey illustrated that not all patients had access to devices, cellular data, and internet service, which are all needed to conduct telemedicine. In this survey, patients with Medicaid or Medicaid waiver insurance were less likely to have these tools than those with a commercial payor. Finally, patients' access to these telemedicine tools correlated with their interest in using telemedicine visits. Providing equitable telemedicine care requires attention to and mitigation strategies for these gaps in access. [ABSTRACT FROM AUTHOR]

Background: Patients who no-show to primary care appointments interrupt clinicians' efforts to provide continuity of care. Prior literature reveals no-shows among diabetic patients are common. The purpose of this study is to assess whether no-shows to primary care appointments are associated with increased risk of future emergency department (ED) visits or hospital admissions among diabetics. Methods: A prospective cohort study was conducted using data from 8,787 adult diabetic patients attending outpatient clinics associated with a medical center in Indiana. The outcomes examined were hospital admissions or ED visits in the 6 months (182 days) following the patient's last scheduled primary care appointment. The Andersen-Gill extension of the Cox proportional hazard model was used to assess risk separately for hospital admissions and ED visits. Adjustment was made for variables associated with no-show status and acute care utilization such as gender, age, race, insurance and co-morbid status. The interaction between utilization of the acute care service in the six months prior to the appointment and no-show was computed for each model. Results: The six-month rate of hospital admissions following the last scheduled primary care appointment was 0.22 (s.d. = 0.83) for no-shows and 0.14 (s.d. = 0.63) for those who attended (p < 0.0001). No-show was associated with greater risk for hospitalization only among diabetics with a hospital admission in the prior six months. Among diabetic patients with a prior hospital admission, those who no-showed were at 60% greater risk for subsequent hospital admission (HR = 1.60, CI = 1.17-2.18) than those who attended their appointment. The six-month rate of ED visits following the last scheduled primary care appointment was 0.56 (s.d. = 1.48) for no-shows and 0.38 (s.d. = 1.05) for those who attended (p < 0.0001); after adjustment for covariates, no-show status was not significantly related to subsequent ED utilization. Conclusions: No-show to a primary care appointment is associated with increased risk for hospital admission among diabetics recently hospitalized. [ABSTRACT FROM AUTHOR]

Background: The impact of open access (OA) scheduling on chronic disease care and outcomes has not been studied.Objective: To assess the effect of OA implementation at 1 year on: (1) diabetes care processes (testing for A1c, LDL, and urine microalbumin), (2) intermediate outcomes of diabetes care (SBP, A1c, and LDL level), and (3) health-care utilization (ED visits, hospitalization, and outpatient visits).Methods: We used a retrospective cohort study design to compare process and outcomes for 4,060 continuously enrolled adult patients with diabetes from six OA clinics and six control clinics. Using a generalized linear model framework, data were modeled with linear regression for continuous, logistic regression for dichotomous, and Poisson regression for utilization outcomes.Results: Patients in the OA clinics were older, with a higher percentage being African American (51% vs 34%) and on insulin. In multivariate analyses, for A1c testing, the odds ratio for African-American patients in OA clinics was 0.47 (CI: 0.29-0.77), compared to non-African Americans [OR 0.27 (CI: 0.21-0.36)]. For urine microablumin, the odds ratio for non-African Americans in OA clinics was 0.37 (CI: 0.17-0.81). At 1 year, in adjusted analyses, patients in OA clinics had significantly higher SBP (mean 6.4 mmHg, 95% CI 5.4 - 7.5). There were no differences by clinic type in any of the three health-care utilization outcomes.Conclusion: OA scheduling was associated with worse processes of care and SBP at 1 year. OA clinic scheduling should be examined more critically in larger systems of care, multiple health-care settings, and/or in a randomized controlled trial. [ABSTRACT FROM AUTHOR]

Introduction: Although African Americans have the highest colorectal cancer (CRC) incidence and mortality rates of any racial group, their screening rates remain low.Study Design/purpose: This randomized controlled trial compared efficacy of two clinic-based interventions for increasing CRC screening among African American primary care patients.Methods: African American patients from 11 clinics who were not current with CRC screening were randomized to receive a computer-tailored intervention (n = 335) or a non-tailored brochure (n = 358) designed to promote adherence to CRC screening. Interventions were delivered in clinic immediately prior to a provider visit. Univariate and multivariable logistic regression models analyzed predictors of screening test completion. Moderators and mediators were determined using multivariable linear and logistic regression analyses.Results: Significant effects of the computer-tailored intervention were observed for completion of a stool blood test (SBT) and completion of any CRC screening test (SBT or colonoscopy). The colonoscopy screening rate was higher among those receiving the computer-tailored intervention group compared to the nontailored brochure but the difference was not significant. Predictors of SBT completion were: receipt of the computer-tailored intervention; being seen at a Veterans Affairs Medical Center clinic; baseline stage of adoption; and reason for visit. Mediators of intervention effects were changes in perceived SBT barriers, changes in perceived colonoscopy benefits, changes in CRC knowledge, and patient-provider discussion. Moderators of intervention effects were age, employment, and family/friend recommendation of screening.Conclusion: This one-time computer-tailored intervention significantly improved CRC screening rates among low-income African American patients. This finding was largely driven by increasing SBT but the impact of the intervention on colonoscopy screening was strong. Implementation of a CRC screening quality improvement program in the VA site that included provision of stool blood test kits and follow-up likely contributed to the strong intervention effect observed at that site. The trial is registered at ClinicalTrials.gov as NCT00672828. [ABSTRACT FROM AUTHOR]

BACKGROUND. Lower respiratory infections (LRI) are an important cause of morbidity, mortality, and hospitalization of nursing home residents, yet treatment recommendations have primarily been based on the minority who are hospitalized. We sought to prospectively evaluate risk factors for mortality from LRI in community nursing home residents. METHODS. We studied residents of 10 central Missouri nursing homes (910 beds) from January 1994 to September 1994. Attending physicians authorized nurse evaluations of ill residents who showed symptoms of an LRI. Those residents who met the study definition of LRI received a more detailed assessment and follow ups at 30 and 90 days. RESULTS. The 231 evaluations identified 141 LRIs in 121 individuals. Sixteen (11%) residents died within 30 days of evaluation. The most important univariate predictor of 30-day mortality was severe activities of daily living (ADL) dependency (relative risk = 8.8, 95% confidence interval, 2.55 - 30.1). Several other clinical and laboratory findings were also significant predictors. In multivariable logistic regression, ADL dependency, respiratory rate, and pneumonia on chest radiograph independently predicted mortality; the model showed good discriminating ability (c=.83). CONCLUSIONS. For nursing home residents with LRI, ADL dependency is an important mortality predictor. Further research with a larger sample should lead to a useful prediction rule for outcome from nursing home-acquired LRI. [ABSTRACT FROM AUTHOR]

The article discusses the role of cancer fatalism, which is the belief that when cancer is present death is inevitable, as a barrier to screening for colorectal cancer (CRC). According to the authors, African Americans have a high incidence and mortality rate from CRC. They note that the higher incidence and mortality rate is due to a lower participation in CRC screening. Statistics related to the rate of fatalism in African Americans is presented.