The impact of disease-related knowledge on perceptions of stigma among patients with Hepatitis C Virus (HCV) infection.

2021

e0258143

2021

1932-6203

<p>Most patients with hepatitis C virus (HCV) infection perceive some degree of disease-related stigma. Misunderstandings about diseases may contribute to disease-related stigma. The objective of this study was to evaluate patient-level knowledge about HCV infection transmission and natural history and its association with HCV-related stigma among HCV-infected patients. We conducted a cross-sectional survey study among 265 patients with HCV in Philadelphia using the HCV Stigma Scale and the National Health and Nutrition Examination Survey (NHANES) Hepatitis C Follow-up Survey (2001-2008). The association between HCV knowledge and HCV-related stigma was evaluated via linear regression. Overall knowledge about HCV transmission and natural history was high, with &gt;80% of participants answering ≥9 of 11 items correctly (median number of correct responses, 9 [82%]), HCV-related knowledge was similar between HIV/HCV-coinfected and HCV-monoinfected participants (p = 0.30). A higher level of HCV-related knowledge was associated with greater perceived HCV-related stigma (β, 2.34 ([95% CI, 0.51-4.17]; p = 0.013). Results were similar after adjusting for age, race, ethnicity, HIV status, education level, stage of HCV management, time since diagnosis, and history of injection drug use. In this study, increased HCV-related knowledge was associated with greater perceptions of HCV stigma. Clinicians may consider allotting time to address common misconceptions about HCV when educating patients about HCV infection, which may counterbalance the stigmatizing impact of greater HCV-related knowledge.</p>

10.1371/journal.pone.0258143

PLoS One

34610030

Why Is the Electronic Health Record So Challenging for Research and Clinical Care?

2021

2021 Jul 19

2511-705X

<p><strong>BACKGROUND: </strong> The electronic health record (EHR) has become increasingly ubiquitous. At the same time, health professionals have been turning to this resource for access to data that is needed for the delivery of health care and for clinical research. There is little doubt that the EHR has made both of these functions easier than earlier days when we relied on paper-based clinical records. Coupled with modern database and data warehouse systems, high-speed networks, and the ability to share clinical data with others are large number of challenges that arguably limit the optimal use of the EHR OBJECTIVES:  Our goal was to provide an exhaustive reference for those who use the EHR in clinical and research contexts, but also for health information systems professionals as they design, implement, and maintain EHR systems.</p>

<p><strong>METHODS: </strong> This study includes a panel of 24 biomedical informatics researchers, information technology professionals, and clinicians, all of whom have extensive experience in design, implementation, and maintenance of EHR systems, or in using the EHR as clinicians or researchers. All members of the panel are affiliated with Penn Medicine at the University of Pennsylvania and have experience with a variety of different EHR platforms and systems and how they have evolved over time.</p>

<p><strong>RESULTS: </strong> Each of the authors has shared their knowledge and experience in using the EHR in a suite of 20 short essays, each representing a specific challenge and classified according to a functional hierarchy of interlocking facets such as usability and usefulness, data quality, standards, governance, data integration, clinical care, and clinical research.</p>

<p><strong>CONCLUSION: </strong> We provide here a set of perspectives on the challenges posed by the EHR to clinical and research users.</p>

10.1055/s-0041-1731784

Methods Inf Med

34282602

Unsupervised Modeling and Genome-Wide Association Identify Novel Features of Allergic March Trajectories.

2020

2020 Jul 07

1097-6825

<p><strong>BACKGROUND: </strong>The allergic march refers to the natural history of allergic conditions during infancy and childhood. However, population-level disease incidence patterns do not necessarily reflect the development of allergic disease in individuals. A better understanding of the factors that predispose to different allergic trajectories is needed.</p>

<p><strong>OBJECTIVE: </strong>Determine the demographic and genetic features that associate with the major allergic march trajectories.</p>

<p><strong>METHODS: </strong>Presence or absence of common allergic conditions (atopic dermatitis, AD; IgE-mediated food allergy, IgE-FA; asthma; and allergic rhinitis, AR) was ascertained in a pediatric primary care birth cohort of 158,510 subjects. Hierarchical clustering and decision tree modeling was used to associate demographic features with allergic outcomes. Genome-wide association study (GWAS) tested for risk loci associated with specific allergic trajectories.</p>

<p><strong>RESULTS: </strong>We found an association between self-identified "Black" race and progression from AD to asthma. Conversely, "Asian or Pacific Islander" race associated with AD to IgE-FA, and "White" race associated with AD to AR. GWAS of trajectory groups identified risk loci associated with progression from AD to Asthma (rs60242841), and AD to AR (rs9565267, rs151041509, rs78171803). Consistent with our epidemiologic associations, rs60242841 is more common in individuals of African ancestry (AA) than European ancestry (EA), while rs9565267 and rs151041509 are more common in EA than AA individuals.</p>

<p><strong>CONCLUSION: </strong>We identify novel associations between race and progression along distinct allergic trajectories. Ancestral genetic differences may contribute to these associations. These results uncover important health disparities, refine the concept of the allergic march, and represent a step towards developing individualized medical approaches for these conditions.</p>

10.1016/j.jaci.2020.06.026

J. Allergy Clin. Immunol.

32650023

Determinants of Stigma among Patients with Hepatitis C Virus (HCV) Infection.

2020

2020 Jun 05

1365-2893

<p>Stigma around hepatitis C virus (HCV) infection is an important and understudied barrier to HCV treatment and elimination. The determinants of HCV-related stigma, including the impacts of stage of HCV treatment (i.e., spontaneously-cleared; diagnosed, untreated; previously treated, not cured; currently being treated; treated, cured) and coinfection with human immunodeficiency virus (HIV), remain unknown. To address these gaps, we conducted a cross-sectional study among patients with a history of HCV infection (n=270) at outpatient clinics in Philadelphia from July 2018 - May 2019. We evaluated stigma using the validated HCV Stigma Scale, adapted from the Berger HIV Stigma Scale. Associations among HCV-related stigma and hypothesized demographic, behavioral, and clinical risk factors were evaluated by multivariable linear regression. Most participants (95.5%) experienced HCV-related stigma. Mean stigma scores did not differ significantly between HCV-monoinfected and HIV/HCV-coinfected participants (P=0.574). However, we observed significant interactions between HIV status and multiple determinants; therefore, we stratified analyses by HIV status. Among HIV/HCV-coinfected participants, previous HCV treatment without cure, female gender, Hispanic/Latino ethnicity, and some college education were significantly associated with higher HCV-stigma scores. An annual income of $10,000-$40,000 was associated with significantly lower stigma scores. No significant associations were observed among HCV-monoinfected participants. We found that most participants experienced stigma associated with HCV diagnosis. While stigma scores were similar between HCV-monoinfected and HIV/HCV-coinfected participants, the determinants associated with HCV stigma differed by HIV status. Understanding how experiences of stigma differs between HCV-monoinfected and HIV/HCV-coinfected patients may aid in the development of targeted interventions to address the HCV epidemic.</p>

10.1111/jvh.13343

J. Viral Hepat.

32500618

Validation of a modified Berger HIV stigma scale for use among patients with hepatitis C virus (HCV) infection.

2020

e0228471

2020

1932-6203

<p><strong>BACKGROUND: </strong>Stigma around hepatitis C virus (HCV) infection is an important and understudied barrier to HCV prevention, treatment, and elimination. To date, no validated instrument exists to measure patients' experiences of HCV stigma. This study aimed to revise the Berger (2001) HIV stigma scale and evaluate its psychometric properties among patients with HCV infection.</p>

<p><strong>METHODS: </strong>The Berger HIV stigma scale was revised to ask about HCV and administered to patients with HCV (n = 270) in Philadelphia, Pennsylvania. Scale reliability was evaluated as internal consistency by calculating Cronbach's alpha. Exploratory factor analysis was performed to evaluate construct validity by comparing item clustering to the Berger HIV stigma scale subscales. Item response theory was employed to further evaluate individual items and to calibrate items for simulated computer adaptive testing sessions in order to identify potential shortened instruments.</p>

<p><strong>RESULTS: </strong>The revised HCV Stigma Scale was found to have good reliability (α = 0.957). After excluding items for low loadings, the exploratory factor analysis indicated good construct validity with 85% of items loading on pre-defined factors. Analyses strongly suggested the predominance of an underlying unidimensional factor solution, which yielded a 33-item scale after items were removed for low loading and differential item functioning. Adaptive simulations indicated that the scale could be substantially shortened without detectable information loss.</p>

<p><strong>CONCLUSIONS: </strong>The 33-item HCV Stigma Scale showed sufficient reliability and construct validity. We also conducted computer adaptive testing simulations and identified shortened six- and three-item scale alternatives that performed comparably to the original 40-item scale.</p>

10.1371/journal.pone.0228471

PLoS ONE

32023310

Association Between Mobile Telephone Interruptions and Medication Administration Errors in a Pediatric Intensive Care Unit.

2019

2019 Dec 20

2168-6211

<p><strong>Importance: </strong>Incoming text messages and calls on nurses' mobile telephones may interrupt medication administration, but whether such interruptions are associated with errors has not been established.</p>

<p><strong>Objective: </strong>To assess whether a temporal association exists between mobile telephone interruptions and subsequent errors by pediatric intensive care unit (PICU) nurses during medication administration.</p>

<p><strong>Design, Setting, and Participants: </strong>A retrospective cohort study was performed using telecommunications and electronic health record data from a PICU in a children's hospital. Data were collected from August 1, 2016, through September 30, 2017. Participants included 257 nurses and the 3308 patients to whom they administered medications.</p>

<p><strong>Exposures: </strong>Primary exposures were incoming telephone calls and text messages received on the institutional mobile telephone assigned to the nurse in the 10 minutes leading up to a medication administration attempt. Secondary exposures were the nurse's PICU experience, work shift (day vs night), nurse to patient ratio, and level of patient care required.</p>

<p><strong>Main Outcomes and Measures: </strong>Primary outcome, errors during medication administration, was a composite of reported medication administration errors and bar code medication administration error alerts generated when nurses attempted to give medications without active orders for the patient whose bar code they scanned.</p>

<p><strong>Results: </strong>Participants included 257 nurses, of whom 168 (65.4%) had 6 months or more of PICU experience; and 3308 patients, of whom 1839 (55.6%) were male, 1539 (46.5%) were white, and 2880 (87.1%) were non-Hispanic. The overall rate of errors during 238 540 medication administration attempts was 3.1% (95% CI, 3.0%-3.3%) when nurses were uninterrupted by incoming telephone calls and 3.7% (95% CI, 3.4%-4.0%) when they were interrupted by such calls. During day shift, the odds ratios (ORs) for error when interrupted by calls (compared with uninterrupted) were 1.02 (95% CI, 0.92-1.13; P = .73) among nurses with 6 months or more of PICU experience and 1.22 (95% CI, 1.00-1.47; P = .046) among nurses with less than 6 months of experience. During night shift, the ORs for error when interrupted by calls were 1.35 (95% CI, 1.16-1.57; P &lt; .001) among nurses with 6 months or more of PICU experience and 1.53 (95% CI, 1.16-2.03; P = .003) among nurses with less than 6 months of experience. Nurses administering medications to 1 or more patients receiving mechanical ventilation and arterial catheterization while caring for at least 1 other patient had an increased risk of error (OR, 1.21; 95% CI, 1.03-1.42; P = .02). Incoming text messages were not associated with error (OR, 0.97; 95% CI, 0.92-1.02; P = .22).</p>

<p><strong>Conclusions and Relevance: </strong>This study's findings suggest that incoming telephone call interruptions may be temporally associated with medication administration errors among PICU nurses. Risk of error varied by shift, experience, nurse to patient ratio, and level of patient care required.</p>

10.1001/jamapediatrics.2019.5001

JAMA Pediatr

31860017

Development and Usability of a Smartphone Application for Tracking Antiretroviral Medication Refill Data for Human Immunodeficiency Virus.

2017

351-359

2017

2511-705X

<p><strong>BACKGROUND: </strong>Adherence to antiretroviral medication leads to HIV suppression and decreased morbidity and mortality. In resource- limited settings, the dependence on paper medical charts and unstable electronic health records creates a challenge to monitoring medication adherence. A pharmacy-based strategy that utilizes existing cellular phone infrastructure may lead to a more stable system to monitor adherence.</p>

<p><strong>OBJECTIVES: </strong>To develop and evaluate the usability of a smartphone-based software application (app) for tracking antiretroviral medication refill data in a resource-limited setting.</p>

<p><strong>METHODS: </strong>A pharmacy-based smartphone app for tracking HIV medication adherence was developed through a multi-step rapid prototyping process. The usability of the app was assessed during the daily activities of pharmacy dispensers at HIV clinics in and around Gaborone, Botswana using a validated computer usability survey.</p>

<p><strong>RESULTS: </strong>The study demonstrated the effective development of and favorable end-user responses to a pharmacy-based HIV medication adherence app. End users had suggestions for minor changes to improve the app's functionality.</p>

<p><strong>CONCLUSIONS: </strong>In resource-limited settings where electronic health record support is limited, such a system was feasible and appealing. In the future, this system may allow for improved HIV medication adherence tracking and be applied to medications beyond antiretrovirals.</p>

10.3414/ME17-01-0045

Methods Inf Med

29582932

Video Analysis of Factors Associated With Response Time to Physiologic Monitor Alarms in a Children's Hospital.

2017

524-31

2017 Jun 1

2168-6211

<p><strong>Importance: </strong>Bedside monitor alarms alert nurses to life-threatening physiologic changes among patients, but the response times of nurses are slow.</p>

<p><strong>Objective: </strong>To identify factors associated with physiologic monitor alarm response time.</p>

<p><strong>Design, Setting, and Participants: </strong>This prospective cohort study used 551 hours of video-recorded care administered by 38 nurses to 100 children in a children's hospital medical unit between July 22, 2014, and November 11, 2015.</p>

<p><strong>Exposures: </strong>Patient, nurse, and alarm-level factors hypothesized to predict response time.</p>

<p><strong>Main Outcomes and Measures: </strong>We used multivariable accelerated failure-time models stratified by each nurse and adjusted for clustering within patients to evaluate associations between exposures and response time to alarms that occurred while the nurse was outside the room.</p>

<p><strong>Results: </strong>The study participants included 38 nurses, 100% (n = 38) of whom were white and 92% (n = 35) of whom were female, and 100 children, 51% (n = 51) of whom were male. The race/ethnicity of the child participants was 45% (n = 45) black or African American, 33% (n = 33) white, 4% (n = 4) Asian, and 18% (n = 18) other. Of 11 745 alarms among 100 children, 50 (0.5%) were actionable. The adjusted median response time among nurses was 10.4 minutes (95% CI, 5.0-15.8) and varied based on the following variables: if the patient was on complex care service (5.3 minutes [95% CI, 1.4-9.3] vs 11.1 minutes [95% CI, 5.6-16.6] among general pediatrics patients), whether family members were absent from the patient's bedside (6.3 minutes [95% CI, 2.2-10.4] vs 11.7 minutes [95% CI, 5.9-17.4] when family present), whether a nurse had less than 1 year of experience (4.4 minutes [95% CI, 3.4-5.5] vs 8.8 minutes [95% CI, 7.2-10.5] for nurses with 1 or more years of experience), if there was a 1 to 1 nursing assignment (3.5 minutes [95% CI, 1.3-5.7] vs 10.6 minutes [95% CI, 5.3-16.0] for nurses caring for 2 or more patients), if there were prior alarms requiring intervention (5.5 minutes [95% CI, 1.5-9.5] vs 10.7 minutes [5.2-16.2] for patients without intervention), and if there was a lethal arrhythmia alarm (1.2 minutes [95% CI, -0.6 to 2.9] vs 10.4 minutes [95% CI, 5.1-15.8] for alarms for other conditions). Each hour that elapsed during a nurse's shift was associated with a 15% longer response time (6.1 minutes [95% CI, 2.8-9.3] in hour 2 vs 14.1 minutes [95% CI, 6.4-21.7] in hour 8). The number of nonactionable alarms to which the nurse was exposed in the preceding 120 minutes was not associated with response time.</p>

<p><strong>Conclusions and Relevance: </strong>Response time was associated with factors that likely represent the heuristics nurses use to assess whether an alarm represents a life-threatening condition. The nurse to patient ratio and physical and mental fatigue (measured by the number of hours into a shift) represent modifiable factors associated with response time. Chronic alarm fatigue resulting from long-term exposure to nonactionable alarms may be a more important determinant of response time than short-term exposure.</p>

10.1001/jamapediatrics.2016.5123

JAMA Pediatr

28394995

Development of a score to predict clinical deterioration in hospitalized children.

2012

345-9

2012 Apr

1553-5606

<p><strong>BACKGROUND: </strong>Identification of the characteristics that put hospitalized children at high risk of deterioration may help to target patients whose physiologic status should be intensively monitored for signs of deterioration, and reduce unnecessary monitoring in patients at very low risk. Previous studies have evaluated vital sign-based early warning scores to detect deterioration that has already begun.</p>

<p><strong>OBJECTIVE: </strong>To develop a predictive score for deterioration using non-vital sign patient characteristics in order to risk-stratify hospitalized children before signs of deterioration are detectable.</p>

<p><strong>DESIGN: </strong>Case-control study.</p>

<p><strong>SETTING: </strong>A 460-bed children's hospital.</p>

<p><strong>PATIENTS: </strong>Cases (n = 141) were children who deteriorated while receiving care on non-intensive care unit (non-ICU) inpatient units. Controls (n = 423) were randomly selected.</p>

<p><strong>MEASUREMENTS: </strong>The exposures were complex chronic conditions, other patient characteristics, and laboratory studies. The outcome was clinical deterioration, defined as cardiopulmonary arrest, acute respiratory compromise, or urgent ICU transfer.</p>

<p><strong>RESULTS: </strong>The 7-item score included age &lt;1 year, epilepsy, congenital/genetic conditions, history of transplant, enteral tube, hemoglobin &lt;10 g/dL, and blood culture drawn in the preceding 72 hours. We grouped the patients into risk strata based on their scores. The very low-risk group's probability of deterioration was less than half of baseline risk. The high-risk group's probability of deterioration was more than 80-fold higher than the baseline risk.</p>

<p><strong>CONCLUSIONS: </strong>We identified a set of characteristics associated with clinical deterioration in children. Used in combination as a score, these characteristics may be useful in triaging the intensity of monitoring and surveillance for deterioration that children receive while hospitalized on non-ICU units.</p>

10.1002/jhm.971

J Hosp Med

22489072

Barriers to calling for urgent assistance despite a comprehensive pediatric rapid response system.

2014

223-9

2014 May

1937-710X

<p><strong>BACKGROUND: </strong>Rapid response systems (RRSs) aim to identify and rescue hospitalized patients whose condition is deteriorating before respiratory or cardiac arrest occurs. Previous studies of RRS implementation have shown variable effectiveness, which may be attributable in part to barriers preventing staff from activating the system.</p>

<p><strong>OBJECTIVE: </strong>To proactively identify barriers to calling for urgent assistance that exist despite recent implementation of a comprehensive RRS in a children's hospital.</p>

<p><strong>METHODS: </strong>Qualitative study using open-ended, semistructured interviews of 27 nurses and 30 physicians caring for patients in general medical and surgical care areas.</p>

<p><strong>RESULTS: </strong>The following themes emerged: (1) Self-efficacy in recognizing deteriorating conditions and activating the medical emergency team (MET) were considered strong determinants of whether care would be appropriately escalated for children in a deteriorating condition. (2) Intraprofessional and interprofessional hierarchies were sometimes challenging to navigate and led to delays in care for patients whose condition was deteriorating. (3) Expectations of adverse interpersonal or clinical outcomes from MET activations and intensive care unit transfers could strongly shape escalation-of-care behavior (eg, reluctance among subspecialty attending physicians to transfer patients to the intensive care unit for fear of inappropriate management).</p>

<p><strong>CONCLUSIONS: </strong>The results of this study provide an in-depth description of the barriers that may limit RRS effectiveness. By recognizing and addressing these barriers, hospital leaders may be able to improve the RRS safety culture and thus enhance the impact of the RRS on rates of cardiac arrest, respiratory arrest, and mortality outside the intensive care unit.</p>

10.4037/ajcc2014594

Am. J. Crit. Care

24786810