scholarly journals Comparison of EHR-based diagnosis documentation locations to a gold standard for risk stratification in patients with multiple chronic conditions

2017 ◽  
Vol 08 (03) ◽  
pp. 794-809 ◽  
Author(s):  
Shelby Martin ◽  
Jesse Wagner ◽  
Nicoleta Lupulescu-Mann ◽  
Katrina Ramsey ◽  
Aaron Cohen ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Gold Standard ◽  
Chronic Conditions ◽  
Chart Review ◽  
Risk Scores ◽  
Multiple Chronic Conditions ◽  
Validity Testing ◽  
Combining Data ◽  
Diagnostic Statistics ◽  
The Impact

SummaryObjective: To measure variation among four different Electronic Health Record (EHR) system documentation locations versus ‘gold standard’ manual chart review for risk stratification in patients with multiple chronic illnesses.Methods: Adults seen in primary care with EHR evidence of at least one of 13 conditions were included. EHRs were manually reviewed to determine presence of active diagnoses, and risk scores were calculated using three different methodologies and five EHR documentation locations. Claims data were used to assess cost and utilization for the following year. Descriptive and diagnostic statistics were calculated for each EHR location. Criterion validity testing compared the gold standard verified diagnoses versus other EHR locations and risk scores in predicting future cost and utilization.Results: Nine hundred patients had 2,179 probable diagnoses. About 70% of the diagnoses from the EHR were verified by gold standard. For a subset of patients having baseline and prediction year data (n=750), modeling showed that the gold standard was the best predictor of outcomes on average for a subset of patients that had these data. However, combining all data sources together had nearly equivalent performance for prediction as the gold standard.Conclusions: EHR data locations were inaccurate 30% of the time, leading to improvement in overall modeling from a gold standard from chart review for individual diagnoses. However, the impact on identification of the highest risk patients was minor, and combining data from different EHR locations was equivalent to gold standard performance.Martin S, Wagner J, Lupulescu-Mann N et al. Comparison of EHR-based diagnosis documentation locations to a gold standard for risk stratification in patients with multiple chronic conditions . Appl Clin Inform 2017; 8: 794–809 https://doi.org/10.4338/ACI-2016-12-RA-0210

scholarly journals Development of an Electronic Algorithm to Identify Inappropriate Antibiotic Prescribing for Pediatric Pharyngitis

2020 ◽  
Vol 41 (S1) ◽  
pp. s188-s189
Author(s):  
Jeffrey Gerber ◽  
Robert Grundmeier ◽  
Keith Hamilton ◽  
Lauri Hicks ◽  
Melinda Neuhauser ◽  
...  
Keyword(s):  
Predictive Value ◽  
Gold Standard ◽  
Antibiotic Stewardship ◽  
Chart Review ◽  
Antibiotic Use ◽  
Audit And Feedback ◽  
Urgent Care ◽  
Antibiotic Prescribing ◽  
Tract Infections ◽  
The Impact

Background: Antibiotic overuse contributes to antibiotic resistance and unnecessary adverse drug effects. Antibiotic stewardship interventions have primarily focused on acute-care settings. Most antibiotic use, however, occurs in outpatients with acute respiratory tract infections such as pharyngitis. The electronic health record (EHR) might provide an effective and efficient tool for outpatient antibiotic stewardship. We aimed to develop and validate an electronic algorithm to identify inappropriate antibiotic use for pediatric outpatients with pharyngitis. Methods: This study was conducted within the Children’s Hospital of Philadelphia (CHOP) Care Network, including 31 pediatric primary care practices and 3 urgent care centers with a shared EHR serving >250,000 children. We used International Classification of Diseases, Tenth Revision (ICD-10) codes to identify encounters for pharyngitis at any CHOP practice from March 15, 2017, to March 14, 2018, excluding those with concurrent infections (eg, otitis media, sinusitis), immunocompromising conditions, or other comorbidities that might influence the need for antibiotics. We randomly selected 450 features for detailed chart abstraction assessing patient demographics as well as practice and prescriber characteristics. Appropriateness of antibiotic use based on chart review served as the gold standard for evaluating the electronic algorithm. Criteria for appropriate use included streptococcal testing, use of penicillin or amoxicillin (absent β-lactam allergy), and a 10-day duration of therapy. Results: In 450 patients, the median age was 8.4 years (IQR, 5.5–9.0) and 54% were women. On chart review, 149 patients (33%) received an antibiotic, of whom 126 had a positive rapid strep result. Thus, based on chart review, 23 subjects (5%) diagnosed with pharyngitis received antibiotics inappropriately. Amoxicillin or penicillin was prescribed for 100 of the 126 children (79%) with a positive rapid strep test. Of the 126 children with a positive test, 114 (90%) received the correct antibiotic: amoxicillin, penicillin, or an appropriate alternative antibiotic due to b-lactam allergy. Duration of treatment was correct for all 126 children. Using the electronic algorithm, the proportion of inappropriate prescribing was 28 of 450 (6%). The test characteristics of the electronic algorithm (compared to gold standard chart review) for identification of inappropriate antibiotic prescribing were sensitivity (99%, 422 of 427); specificity (100%, 23 of 23); positive predictive value (82%, 23 of 28); and negative predictive value (100%, 422 of 422). Conclusions: For children with pharyngitis, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. Future work should validate this approach in other settings and develop and evaluate the impact of an audit and feedback intervention based on this tool.Funding: NoneDisclosures: None

scholarly journals The Importance of Studying Health Behavior in Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 827-827
Author(s):  
Jaime Hughes ◽  
Susan Hughes ◽  
Mina Raj ◽  
Janet Bettger
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Behavior Change ◽  
Chronic Conditions ◽  
Population Level ◽  
Multiple Chronic Conditions ◽  
Prior Work ◽  
Time Changes ◽  
The Impact ◽  
Over Time

Abstract Behavior change is an inherent aspect of routine geriatric care. However, most research and clinical programs emphasis how to initiate behavior change with less emphasis placed on skills and strategies to maintain behaviors over time, including after an intervention has concluded. This presentation will provide an introduction to the symposium, including a review of prior work and our rationale for studying the critical yet overlooked construct of maintenance in older adults. Several key considerations in our work include the impact of multiple chronic conditions, declines in cognitive and functional capacity over time, changes in environmental context and/or social support, and sustainability of community and population-level programs and services.

scholarly journals Development of an Electronic Algorithm to Target Outpatient Antimicrobial Stewardship Efforts for Acute Bronchitis

2020 ◽  
Vol 41 (S1) ◽  
pp. s32-s32
Author(s):  
Ebbing Lautenbach ◽  
Keith Hamilton ◽  
Robert Grundmeier ◽  
Melinda Neuhauser ◽  
Lauri Hicks ◽  
...  
Keyword(s):  
Antimicrobial Stewardship ◽  
Predictive Value ◽  
Gold Standard ◽  
Chart Review ◽  
Acute Bronchitis ◽  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Diagnostic Codes ◽  
Icd 10 ◽  
The Impact

Background: Antibiotic resistance has increased at alarming rates, driven predominantly by antibiotic overuse. Although most antibiotic use occurs in outpatients, antimicrobial stewardship programs have primarily focused on inpatient settings. A major challenge for outpatient stewardship is the lack of accurate and accessible electronic data to target interventions. We sought to develop and validate an electronic algorithm to identify inappropriate antibiotic use for outpatients with acute bronchitis. Methods: This study was conducted within the University of Pennsylvania Health System (UPHS). We used ICD-10 diagnostic codes to identify encounters for acute bronchitis at any outpatient UPHS practice between March 15, 2017, and March 14, 2018. Exclusion criteria included underlying immunocompromising condition, other comorbidity influencing the need for antibiotics (eg, emphysema), or ICD-10 code at the same visit for a concurrent infection (eg, sinusitis). We randomly selected 300 (150 from academic practices and 150 from nonacademic practices) eligible subjects for detailed chart abstraction that assessed patient demographics and practice and prescriber characteristics. Appropriateness of antibiotic use based on chart review served as the gold standard for assessment of the electronic algorithm. Because antibiotic use is not indicated for this study population, appropriateness was assessed based upon whether an antibiotic was prescribed or not. Results: Of 300 subjects, median age was 61 years (interquartile range, 50–68), 62% were women, 74% were seen in internal medicine (vs family medicine) practices, and 75% were seen by a physician (vs an advanced practice provider). On chart review, 167 (56%) subjects received an antibiotic. Of these subjects, 1 had documented concern for pertussis and 4 had excluding conditions for which there were no ICD-10 codes. One received an antibiotic prescription for a planned dental procedure. Thus, based on chart review, 161 (54%) subjects received antibiotics inappropriately. Using the electronic algorithm based on diagnostic codes, underlying and concurrent conditions, and prescribing data, the number of subjects with inappropriate prescribing was 170 (56%) because 3 subjects had antibiotic prescribing not noted based on chart review. The test characteristics of the electronic algorithm (compared to gold standard chart review) for identification of inappropriate antibiotic prescribing were the following: sensitivity, 100% (161 of 161); specificity, 94% (130 of 139); positive predictive value, 95% (161 of 170); and negative predictive value, 100% (130 of 130). Conclusions: For outpatients with acute bronchitis, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. This algorithm could be used to efficiently assess prescribing among practices and individual clinicians. The impact of interventions based on this algorithm should be tested in future studies.Funding: NoneDisclosures: None

scholarly journals Addressing Implementation Challenges to Digital Care Delivery for Adults With Multiple Chronic Conditions: Stakeholder Feedback in a Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Kelly Williams ◽  
Sarah Markwardt ◽  
Shannon M Kearney ◽  
Jordan F Karp ◽  
Kevin L Kraemer ◽  
...  
Keyword(s):  
Chronic Conditions ◽  
Care Delivery ◽  
Text Message ◽  
Chronically Ill ◽  
High Tech ◽  
Multiple Chronic Conditions ◽  
Broadband Internet ◽  
Implementation Challenges ◽  
Before And After ◽  
The Impact

BACKGROUND Digital tools accessed via smartphones can promote chronic condition management, reduce disparities in health care and hospital readmissions, and improve quality of life. However, whether digital care strategies can be implemented successfully on a large scale with traditionally underserved populations remains uncertain. OBJECTIVE As part of a randomized trial comparing care delivery strategies for Medicaid and Medicare-Medicaid beneficiaries with multiple chronic conditions, our stakeholders identified implementation challenges, and we developed stakeholder-driven adaptions to improve a digitally delivered care management strategy (high-tech care). METHODS We used 4 mechanisms (study support log, Patient Partners Work Group log, case interview log, and implementation meeting minutes) to capture stakeholder feedback about technology-related challenges and solutions from 9 patient partners, 129 participants, and 32 care managers and used these data to develop and implement solutions. To assess the impact, we analyzed high-tech care exit surveys and intervention engagement outcomes (video visits and condition-specific text message check-ins sent at varying intervals) before and after each solution was implemented. RESULTS Challenges centered around 2 themes: difficulty using both smartphones and high-tech care components and difficulty using high-tech care components due to connectivity issues. To respond to the first theme’s challenges, we devised 3 solutions: tech visits (eg, in-person technology support visits), tech packet (eg, participant-facing technology user guide), and tailored condition-specific text message check-ins. During the first 20 months of implementation, 73 participants received at least one tech visit. We observed a 15% increase in video call completion for participants with data before and after the tech visit (n=25) and a 7% increase in check-in completion for participants with data before and after the tech visit (n=59). Of the 379 participants given a tech packet, 179 completed care during this timeframe and were eligible for an exit survey. Of the survey respondents, 76% (73/96) found the tech packet helpful and 64% (62/96) actively used it during care. To support condition-specific text message check-in completion, we allowed for adaption of day and/or time of the text message with 31 participants changing the time they received check-ins and change in standard biometric settings with 13 physicians requesting personalized settings for participants. To respond to the second theme’s challenges, tech visits or phone calls were made to demonstrate how to use a smartphone to connect or disconnect from the internet, to schedule video calls, or for condition-specific text message check-ins in a location with broadband/internet. CONCLUSIONS Having structured stakeholder feedback mechanisms is key to identify challenges and solutions to digital care engagement. Creating flexible and scalable solutions to technology-related challenges will increase equity in accessing digital care and support more effective engagement of chronically ill populations in the use of these digital care tools. CLINICALTRIAL ClinicalTrials.gov NCT03451630; https://clinicaltrials.gov/ct2/show/NCT03451630.

scholarly journals Changes in Eating Habits and Sedentary Behavior During the COVID-19 Pandemic in Adolescents With Chronic Conditions

2021 ◽  
Vol 9 ◽  
Author(s):  
Bruna Caruso Mazzolani ◽  
Fabiana Infante Smaira ◽  
Camilla Astley ◽  
Amanda Yuri Iraha ◽  
Ana Jessica Pinto ◽  
...  
Keyword(s):  
Sedentary Behavior ◽  
Screen Time ◽  
Chronic Conditions ◽  
Eating Habits ◽  
Multiple Chronic Conditions ◽  
Tertiary Referral ◽  
Tertiary Referral Hospital ◽  
School Closures ◽  
Specific Care ◽  
The Impact

Introduction: Among healthy adolescents, school closures and home confinement were shown to increase unhealthier eating habits and sedentary behavior. It remains unknown to which extent the pandemic has impacted the lifestyle of adolescents with chronic conditions. Thus, the aim of this study is to report on the impact of the COVID-19 outbreak on eating habits and sedentary behavior among adolescents with multiple chronic conditions (n = 347) from a tertiary, referral hospital vs. healthy peers.Methods: This observational study was conducted in São Paulo (Brazil) between July and October 2020, period in which a set of social distancing measures to contain the pandemic.Results: The main findings of this study were that adolescents with chronic conditions and health peers showed important changes in eating habits (e.g., more often cooking and eating in front of television than before quarantine). Also, 86.8% of adolescents with chronic conditions and 91.6% of healthy adolescents reported increasing screen time during pandemic. No major differences were observed between patients and controls.Conclusions: Adolescents with chronic conditions and healthy peers exposed to pandemic showed substantial changes in lifestyle, stressing the need for specific care to mitigate poor eating habits and excessive sedentary behavior for patients and healthy adolescents.

scholarly journals Clustering and Healthcare Costs With Multiple Chronic Conditions in a US Cross-Sectional Study

2020 ◽  
Author(s):  
cother hajat ◽  
yakir siegal ◽  
amalia adler-waxman
Keyword(s):  
Mental Health ◽  
Chronic Conditions ◽  
Healthcare Costs ◽  
Multiple Chronic Conditions ◽  
Cross Sectional ◽  
The Us ◽  
Health Related ◽  
Insured Patients ◽  
The Impact ◽  
Hiv Aids

Objective To investigate healthcare costs and contributors to costs for multiple chronic conditions (MCCs), common clusters of conditions and their impact on cost and utilisation. Methods This was a cross-sectional analysis of US financial claims data representative of the US population, including Medicare, Medicaid and Commercial insurance claims in 2015. Outcome measures included healthcare costs and contributors; ranking of clusters of conditions according to frequency, strength of association and unsupervised (k-means) analysis; the impact of clustering on costs and contributors to costs. Results Of 1,878,951 patients, 931,045(49.6%) had MCCs, 56.5% weighted to the US population. Mean age was 53.0 years(SD16.7); 393,121(42.20%) were male. Mean annual healthcare spending was $12,601, ranging from $4,385 (2 conditions) to $33,874 (11 conditions), with spending increasing by 22-fold for inpatient services, 6-fold for outpatient services, 4.5-fold for generic drugs and 4.2-fold for branded drugs. Cluster ranking using the 3 methodologies yielded similar results: highest ranked clusters included metabolic syndrome(12.2% of US insured patients), age related diseases(7.7%), renal failure(5.6%), respiratory disorders(4.5%), cardiovascular disease(CVD)(4.3%), cancers(4.1-4.3%), mental health-related clusters(1.0-1.5%) and HIV/AIDS(0.2%). Highest spending was in HIV/AIDS clusters ($48,293), mental health-related clusters ($38,952-$40,637), renal disease ($38,551) and CVD ($37,155); with 89.9% of spending on outpatient and inpatient care combined, and 10.1% on medication. Conclusion and Relevance Over 57% of insured patients in the US may have MCCs. MCC Clustering is frequent and is associated with healthcare utilisation. The findings favour health system redesign towards a multiple condition approach for clusters of chronic conditions, alongside other cost-containment measures for MCCs.

Exploring the association between diabetes and breast cancer outcomes among Latinas.

2017 ◽  
Vol 35 (5_suppl) ◽  
pp. 221-221
Author(s):  
Kimlin Tan Ashing ◽  
Raynald Samoa ◽  
Lily L. Lai ◽  
Arti Hurria ◽  
Mayra Serrano ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Chronic Conditions ◽  
Breast Cancer Survivors ◽  
Cancer Registries ◽  
Self Report ◽  
Multiple Chronic Conditions ◽  
Coordinated Care ◽  
Patient Centered ◽  
The Impact

221 Background: In cancer patients, diabetes increases the risk for poor overall health and cancer-specific outcomes even death. Moreover, both breast cancer (BC) and diabetes are amongst the most common illnesses in Latinas, who have documented poorer outcomes for both diseases. This study examined the impact of co-occurring diabetes on patient outcomes in a sample of Latina breast cancer survivors (BCS). Methods: 137 Latina BCS were recruited from the California Cancer Registry, hospital cancer registries, and community agencies. BCS completed a self-report questionnaire consisting of items related to demographic and medical characteristics, including diagnoses of cancer and diabetes, and physical and functional outcomes. Results: Thirty nine (28%) BCS reported a co-occurring diagnosis of diabetes; this is over twice the rate in the general population. Diabetes was most prevalent among BCS 65 years and older with 43% reporting co-occuring diabetes. BCS with diabetes, controlling for age, were more likely to report advanced BC staging at diagnosis ( p= 0.036) and more severe lymphedema symptoms than BCS without diabetes ( p= 0.038). BCS with diabetes also endorsed lower general health and greater social functioning limitations and physical role limitations than BCS without diabetes ( p= 0.048). Conclusions: This investigation sheds new light on emerging evidence documenting the negative associations of co-occurring chronic conditions, such as diabetes, on cancer patients’ outcomes. Our findings highlight the urgent need for additional inquiry examining multiple chronic conditions, particularly in the face of cancer. Early integrative and coordinated care that attends to multiple chronic conditions, especially among elderly and ethnic minority patients, may serve as a critical target for addressing disparate cancer risk and outcomes to improve quality, patient-centered care and patients’ outcomes. Clinical trial information: NCT00932997.

The impact of a multidisciplinary, integrated approach on improving the health and quality of care for individuals dealing with multiple chronic conditions.

2006 ◽  
Vol 76 (1) ◽  
pp. 109-114 ◽  
Author(s):  
Christina M. Krause ◽  
Christopher S. Jones ◽  
Stephen Joyce ◽  
Maria E. J. Kuhn ◽  
Karen Curtin ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Chronic Conditions ◽  
Integrated Approach ◽  
Multiple Chronic Conditions ◽  
The Impact

scholarly journals Aging Through the Time of COVID-19: Healthcare Access for Older Adults Living With Chronic Conditions

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 439-440
Author(s):  
Allie Peckham ◽  
Molly Maxfield ◽  
Keenan Pituch ◽  
M Aaron Guest ◽  
Shalini Sivanandam ◽  
...  
Keyword(s):  
Older Adults ◽  
Chronic Conditions ◽  
Online Survey ◽  
Healthcare Access ◽  
Preventive Treatment ◽  
Multiple Chronic Conditions ◽  
Multinomial Regression ◽  
The Impact ◽  
Multinomial Regression Analysis ◽  
Poor Management

Abstract Chronic conditions require on-going continuous management and preventive treatment. Over 80% of adults aged 65 and older have multiple chronic conditions. Concerns have arisen about how the COVID-19 pandemic is affecting the management of chronic conditions. Delay, avoidance, and poor management of healthcare during the COVID- 19 pandemic may increase the risk of unnecessary hospitalizations and mortality. This study aims to understand the impact of COVID-19 on healthcare access in a U.S. sample of Americans 50 years of age or older. Participants completed an online survey about healthcare access and other risk factors during the COVID-19 pandemic. Multinomial regression analysis examined the results of two key access points: healthcare provider /doctor (n=468) and medication (n=754). One-half (56%) of those who needed access to a provider were able to be seen. Participants who were older, had multiple chronic conditions, and those with a provider were more likely to have access. However, when individuals with more chronic conditions did not have access, they indicated that this lack of access was due to COVID-19. When not receiving access to medications, unemployed participants attributed the lack of access more often to COVID-19 than other reasons. These findings demonstrate an important lack of access to providers and medication among older adults during the pandemic. In multivariate models, this lack of access was most often due to COVID-19, in addition to traditional factors such as insurance, employment, and medical and behavioral comorbidity. Interventions are needed to lower access barriers to care even further during COVID-19.

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