Relationship Between Oral Temperature and Bacteremia in Hospitalized Patients.

BACKGROUND: Early recognition and treatment of bacteremia can be lifesaving. Fever is a well-known marker of bacteremia, but the predictive value of temperature has not been fully explored. OBJECTIVE: To describe temperature as a predictor of bacteremia and other infections. DESIGN: Retrospective review of electronic health record data. SETTING: A single healthcare system comprising 13 hospitals in the United States. PATIENTS: Adult medical patients admitted in 2017 or 2018 without malignancy or immunosuppression. MAIN MEASURES: Maximum temperature, bacteremia, influenza and skin and soft tissue (SSTI) infections based on blood cultures and ICD-10 coding. KEY RESULTS: Of 97,174 patients, 1,518 (1.6%) had bacteremia, 1,392 (1.4%) had influenza, and 3,280 (3.3%) had an SSTI. There was no identifiable temperature threshold that provided adequate sensitivity and specificity for bacteremia. Only 45% of patients with bacteremia had a maximum temperature ≥ 100.4˚F (38˚C). Temperature showed a U-shaped relationship with bacteremia with highest risk above 103˚F (39.4˚C). Positive likelihood ratios for influenza and SSTI also increased with temperature but showed a threshold effect at ≥ 101.0 ˚F (38.3˚C). The effect of temperature was similar but blunted for patients aged ≥ 65 years, who frequently lacked fever despite bacteremia. CONCLUSIONS: The majority of bacteremic patients had maximum temperatures below 100.4 ˚F (38.0˚C) and positive likelihood ratios for bacteremia increased with high temperatures above the traditional definition of fever. Efforts to predict bacteremia should incorporate temperature as a continuous variable.

Primary care physician referral practices regarding BRCA1/2 genetic counseling in a major health system.

PURPOSE: The United States Preventive Services Task Force recommends primary care physicians refer patients at high risk for BRCA1/2 mutations to genetic testing when appropriate. The objective of our study was to describe referrals for BRCA1/2 testing in a large integrated health system and to assess factors associated with referral. METHODS: This retrospective cohort study includes female patients between 18 and 50 years who had a primary care visit in the Cleveland Clinic Health System between 2010 and 2019. We used multivariable logistic regression to estimate differences in the odds of a woman being referred for BRCA1/2 testing by patient factors and referring physician specialty. We also assessed variation in referrals by physicians. RESULTS: Among 279,568 women, 5% were high risk. Of those, 22% were referred for testing. Black patients were significantly less likely to be referred than white patients (aOR 0.87; 95% CI 0.77, 0.98) and Jewish patients were more likely to be referred than non-Jewish patients (aOR 2.13; 95% CI 1.68, 2.70). Patients primarily managed by OB/GYN were significantly more likely to be referred than those cared for via Internal/Family Medicine (aOR 1.45; 95% CI 1.30, 1.61). Less than a quarter of primary care physicians ever referred a patient for testing. CONCLUSION: The majority of primary care patients at high risk for a BRCA1/2 mutation were not referred for testing, and over a decade, most physicians never referred a single patient. Internal/Family Medicine physicians, in particular, need support in identifying and referring women who could benefit from testing.

Informing the Design of a New Pragmatic Registry to Stimulate Near Miss Reporting in Ambulatory Care.

OBJECTIVE: Ambulatory care safety is of emerging concern, especially in light of recent studies related to diagnostic errors and health information technology-related safety. Safety reporting systems in outpatient care must address the top safety concerns and be practical and simple to use. A registry that can identify common near misses in ambulatory care can be useful to facilitate safety improvements. We reviewed the literature on medical errors in the ambulatory setting to inform the design of a registry for collecting near miss incidents. METHODS: This narrative review included articles from PubMed that were: 1) original research; 2) discussed near misses or adverse events in the ambulatory setting; 3) relevant to US health care; and 4) published between 2002 and 2013. After full text review, 38 studies were searched for information on near misses and associated factors. Additionally, we used expert opinion and current inpatient near miss registries to inform registry development. RESULTS: Studies included a variety of safety issues including diagnostic errors, treatment or management-related errors, communication errors, environmental/structural hazards, and health information technology (health IT)-related concerns. The registry, based on the results of the review, updates previous work by including specific sections for errors associated with diagnosis, communication, and environment structure and incorporates specific questions about the role of health information technology. CONCLUSIONS: Through use of this registry or future registries that incorporate newly identified categories, near misses in the ambulatory setting can be accurately captured, and that information can be used to improve patient safety.

Derivation and Validation of a Model to Predict 30-Day Readmission in Surgical Patients Discharged to Skilled Nursing Facility.

OBJECTIVES: To identify factors associated with 30-day all-cause readmission rates in surgical patients discharged to skilled nursing facilities (SNFs), and derive and validate a risk score. DESIGN: Retrospective cohort. SETTING AND PARTICIPANTS: Patients admitted to 1 tertiary hospital's surgical services between January 1, 2011, and December 31, 2014 and subsequently discharged to 110 SNFs within a 25-mile radius of the hospital. The first 2 years were used for the derivation set and the last 2 for validation. METHODS: Data were collected on 30-day all cause readmissions, patient demographics, procedure and surgical service, comorbidities, laboratory tests, and prior health care utilization. Multivariate regression was used to identify risk factors for readmission. RESULTS: During the study period, 2405 surgical patients were discharged to 110 SNFs, and 519 (21.6%) of these patients experienced readmission within 30 days. In a multivariable regression model, hospital length of stay [odds ratio (OR) per day: 1.03, 95% confidence interval (CI) 1.02-1.04], number of hospitalizations in past year (OR 1.24 per hospitalization, 95% CI 1.18-1.31), nonelective surgery (OR 1.33, 95% CI 1.18-1.65), low-risk service (orthopedic/spine service) (OR 0.32, 95% CI 0.25-0.42), and intermediate-risk service (cardiothoracic surgery/urology/gynecology/ear, nose, throat) (OR 0.69, 95% CI 0.53-0.88) were associated with all-cause readmissions. The model had a C index of 0.71 in the validation set. Using the following risk score [0.8 × (hospital length of stay) + 7 × (number of hospitalizations in past year) +10 for nonelective surgery, +36 for high-risk surgery, and +20 for intermediate-risk surgery], a score of >40 identified patients at high risk of 30-day readmission (35.8% vs 12.6%, P < .001). CONCLUSIONS/IMPLICATIONS: Among surgical patients discharged to an SNF, a simple risk score with 4 parameters can accurately predict the risk of 30-day readmission.

Association Between Number of Preventive Care Guidelines and Preventive Care Utilization by Patients.

INTRODUCTION: The number of preventive care guidelines is rapidly increasing. It is unknown whether the number of guideline-recommended preventive services is associated with utilization. METHODS: The authors used Poisson regression of 390,778 person-years of electronic medical records data from 2008 to 2015, in 80,773 individuals aged 50-75 years. Analyses considered eligibility for 11 preventive services most closely associated with guidelines: tobacco cessation; control of obesity, hypertension, lipids, or blood glucose; influenza vaccination; and screening for breast, cervical, or colorectal cancers, abdominal aortic aneurysm, or osteoporosis. The outcome was the rate of preventive care utilization over the following year. Results were adjusted for demographics and stratified by the number of disease risk factors (smoking, obesity, hypertension, hyperlipidemia, diabetes). Data were collected in 2016 and analyzed in 2017. RESULTS: Preventive care utilization was lower when the number of guideline-recommended preventive services was higher. The adjusted rate of preventive care utilization decreased from 38.67 per 100 (95% CI=38.16, 39.18) in patients eligible for one guideline-recommended service to 31.59 per 100 (95% CI=31.29, 31.89) in patients eligible for two services and 25.43 per 100 (95% CI=24.68, 26.18) in patients eligible for six or more services (p-trend<0.001). Results were robust to disease risk factors and observed for all but two services (tobacco cessation, obesity reduction). However, for any given number of guideline-recommended services, patients with more disease risk factors had higher utilization rates. CONCLUSIONS: The rate of preventive care utilization was lower when the number of guideline-recommended services was higher. Prioritizing recommendations might improve utilization of high-value services.

Use of Newly Covered Versus Established Preventive Care Screening: Comparison of Depression and Smoking Screening.

Pay-for-value initiatives include both depression and smoking screening. Evaluating how patterns of care differ for an established screening (smoking) versus newer screening (depression) can help programs better implement these measures. Our objective is to evaluate (1) patterns of smoking and depression screening and (2) how patient factors affect screening patterns. We analyzed retrospectively collected electronic health record data from 4,763 Medicare-patients in 34 primary care practices between 2010 and 2012. The relationship between multimorbidity, history of stroke, and having depression on receipt of screening was evaluated. The outcome variables were no screening, smoking screening only, or concurrent smoking and depression screening. Fifty percent of patients were screened for smoking at every visit and never screened for depression (n = 2,378). Twelve percent of patients with ≥five visits received both depression and smoking-status screens on each of their first five visits. Screening patterns varied significantly across sites. For example, one site screened approximately 87% of patients for both depression and smoking-status at every visit. Another site screened 93% of patients for smoking during the first visit but did not conduct depression screening. Programs considering initiating new screenings should evaluate the clinic-specific workflow of successful screenings and integrate new screenings using the same strategy.

Understanding age and race disparities in the application of sentinel lymph node biopsy in breast cancer.

Sentinel lymph node biopsy (SLNB) is the standard of care for surgical evaluation of early-stage breast cancer and is being employed as a quality metric for accreditation of breast centers. Previous studies report disparities in SLNB receipt. The goal of this study is to determine SLNB rates and explore rationale for non-receipt of SLNB. Patients with early-stage breast cancer diagnosed between 2010 and 2011 were identified from the University Hospitals Case Medical Center tumor registry. Multivariable logistic models were used to identify clinical and demographic risk factors for patients who did not receive SLNB. We performed chart reviews to elucidate reasons for the lack of SLNB. Our total sample was 479 patients; of them 432 (90.2%) received SLNB. On average, patients who received SLNB were younger than those who did not receive SLNB (61 compared to 79 years, respectively). Patients ≥80 years were 96% less likely to receive SLNB compared to patients <65 years (OR 0.04; 95% CI 0.00 to 0.14). There were no differences in SLNB by race, between patients undergoing Medicare or Medicaid and managed care, by surgeon specialty, or across medical centers. Chart review determined that 45/47 patients did not have SLNB, because it was a clinical decision-making; advanced age (>80 years) was cited in 27/47 women. Older women had much lower odds of receiving SLNB; however, non-receipt of SLNB was often due to a clinical reasoning. Our study highlights the importance of clinical reasoning in receiving SLNB, whereas other studies solely employing administrative databases do not.

Conformance to Depression Process Measures of Medicare Part B Beneficiaries in Primary Care Settings.

OBJECTIVES: To evaluate conformance to depression screening, management, and outcome quality indicators and to evaluate individual characteristics associated with conformance to these indicators. DESIGN: Cross-sectional study using electronic health record (EHR) data. SETTING: Thirty-four clinics in one healthcare system. PARTICIPANTS: Medicare beneficiaries aged 65 and older with at least one primary care visit between September 2010 and August 2012 (N = 5,000). MEASUREMENTS: Seven measures, current as of 2013, were found for which all the necessary specifications were available in the EHR: general screening, screening within 4 months of diagnosis, screening after stroke, screening after heart disease, depression reassessment, depression response, and depression remission. Multilevel logistic regression analyses were used to determine factors associated with conformance. RESULTS: Screening for depression in Medicare beneficiaries was low (17%). Conformance to measures varied from 10% for the depression response measure to 77% for the depression remission measure. In the adjusted regression analyses for the general screening (adjusted odds ratio (AOR) = 1.45, 95% confidence interval (CI) = 1.01-2.08), depression reassessment (AOR = 4.19, 95% CI = 1.16-15.19), and screening after heart disease (AOR = 5.57, 95% CI = 1.37-22.57) measures, black participants were more likely to be given care that conformed to the numerator criteria than white participants. A strong site effect was found, with 90% of the depression screens being administered at three sites. CONCLUSION: Only a small proportion of Medicare beneficiaries received the recommended screening and follow-up care needed to conform to the quality measures for depression in the primary care setting. Further evaluation of measures of depression care should be conducted before these measures are implemented widely.

Association of goals of care meetings for hospitalized cancer patients at risk for critical care with patient outcomes.

BACKGROUND: Caring for cancer patients with advanced and refractory disease requires communication about care preferences, particularly when patients become ill enough to be at risk for critical care interventions potentially inconsistent with their preferences. AIM: To describe the use of goals of care discussions in patients with advanced/refractory cancer at risk for critical care interventions and evaluate associations between these discussions and outcomes. DESIGN: Cohort study describing patients/families' perceptions of goals of care meetings and comparing health care utilization outcomes of patients who did and did not have discussions. SETTING/PARTICIPANTS: Inpatient units of an academic cancer center. Included patients had metastatic solid tumors or relapsed/refractory lymphoma or leukemia and were at risk for critical care, defined as requiring supplemental oxygen and/or cardiac monitor. RESULTS: Of 86 patients enrolled, 34 (39%) had a reported goals of care discussion (study group). Patients/families reported their needs and goals were addressed moderately to quite a bit during the meetings. Patients in the study group were less likely to receive critical care (0% vs 22%, p = 0.003) and more likely to be discharged to hospice (48% vs 30%, p = 0.04) than the control group. Only one patient in the study group died during the index hospitalization (on comfort care) (3%) compared with 9(17%) in the control group (p = 0.08). CONCLUSION: Goals of care meetings for advanced/refractory cancer inpatients at risk for critical care interventions can address patient and family goals and needs and improve health care utilization. These meetings should be part of routine care for these patients.