The INGENIOUS trial: Impact of pharmacogenetic testing on adverse events in a pragmatic clinical trial.

Adverse drug events (ADEs) account for a significant mortality, morbidity, and cost burden. Pharmacogenetic testing has the potential to reduce ADEs and inefficacy. The objective of this INGENIOUS trial (NCT02297126) analysis was to determine whether conducting and reporting pharmacogenetic panel testing impacts ADE frequency. The trial was a pragmatic, randomized controlled clinical trial, adapted as a propensity matched analysis in individuals (N = 2612) receiving a new prescription for one or more of 26 pharmacogenetic-actionable drugs across a community safety-net and academic health system. The intervention was a pharmacogenetic testing panel for 26 drugs with dosage and selection recommendations returned to the health record. The primary outcome was occurrence of ADEs within 1 year, according to modified Common Terminology Criteria for Adverse Events (CTCAE). In the propensity-matched analysis, 16.1% of individuals experienced any ADE within 1-year. Serious ADEs (CTCAE level ≥ 3) occurred in 3.2% of individuals. When combining all 26 drugs, no significant difference was observed between the pharmacogenetic testing and control arms for any ADE (Odds ratio 0.96, 95% CI: 0.78-1.18), serious ADEs (OR: 0.91, 95% CI: 0.58-1.40), or mortality (OR: 0.60, 95% CI: 0.28-1.21). However, sub-group analyses revealed a reduction in serious ADEs and death in individuals who underwent pharmacogenotyping for aripiprazole and serotonin or serotonin-norepinephrine reuptake inhibitors (OR 0.34, 95% CI: 0.12-0.85). In conclusion, no change in overall ADEs was observed after pharmacogenetic testing. However, limitations incurred during INGENIOUS likely affected the results. Future studies may consider preemptive, rather than reactive, pharmacogenetic panel testing.

Patient family engagement and partnership: Pilot survey results in assessing behavior, communication, and quality of life in children with Lennox-Gastaut syndrome and other drug-resistant epilepsy.

OBJECTIVES: Lennox-Gastaut Syndrome (LGS) and other drug-resistant epilepsy (DRE) can impact behavior, communication, and quality of life (QoL). In collaboration with community engagement efforts with the Lennox-Gastaut Syndrome Foundation (LGSF), we aimed to gain an initial snapshot of patient and family perspectives and experiences with evaluation of behavior, communication, and QoL. METHODS: A cross-sectional survey was conducted to collect self-reported information from caregivers of children with LGS and other DRE regarding their perspectives and experiences with healthcare providers' evaluation of behavior, communication, and QoL. The survey tool was developed by the study investigators in partnership with the LGS Foundation and had diffused to caregivers online by epilepsy advocacy groups including the Pediatric Epilepsy Surgery Alliance (PESA). Responses were analyzed. Descriptive statistics were calculated. The survey asked for caregiver perspectives and assessed which instruments the caregivers had previously been given for measuring these domains. RESULTS: Responses from 245 caregivers were included, with 132 (54%) caregivers of an individual with LGS and 113 (46%) caregivers of an individual with non-LGS related DRE. Respondents reported that 66% of their loved ones had undergone epilepsy-related surgery. Over 90% agreed that measuring behavior, communication, and QoL was important, but fewer than half felt that their healthcare providers evaluated these domains well. LGS caregivers largely shared non-LGS caregivers' perspectives; however, they reported more frequently that communication was not evaluated enough. Barriers to measuring these domains included a lack of good surveys (developmentally appropriate and specific to the type of epilepsy) or not receiving any survey instruments for these domains during clinic appointments. Caregivers play a crucial role for individuals with DRE, and their input is essential in identifying challenges and needs. Caregivers believe that measuring behavior, communication, and quality of life is important, and most of them feel that their loved ones are not adequately evaluated during their healthcare encounters. There is a need for appropriately scaled survey instruments to measure areas of importance for patients and caregivers, as well as incorporation of these outcomes in the healthcare discussion.

Antibiotics prior to age 2 years have limited association with preschool growth trajectory.

BACKGROUND: Prior studies of early antibiotic use and growth have shown mixed results, primarily on cross-sectional outcomes. This study examined the effect of oral antibiotics before age 24 months on growth trajectory at age 2-5 years. METHODS: We captured oral antibiotic prescriptions and anthropometrics from electronic health records through PCORnet, for children with ≥1 height and weight at 0-12 months of age, ≥1 at 12-30 months, and ≥2 between 25 and 72 months. Prescriptions were grouped into episodes by time and by antimicrobial spectrum. Longitudinal rate regression was used to assess differences in growth rate from 25 to 72 months of age. Models were adjusted for sex, race/ethnicity, steroid use, diagnosed asthma, complex chronic conditions, and infections. RESULTS: 430,376 children from 29 health U.S. systems were included, with 58% receiving antibiotics before 24 months. Exposure to any antibiotic was associated with an average 0.7% (95% CI 0.5, 0.9, p < 0.0001) greater rate of weight gain, corresponding to 0.05 kg additional weight. The estimated effect was slightly greater for narrow-spectrum (0.8% [0.6, 1.1]) than broad-spectrum (0.6% [0.3, 0.8], p < 0.0001) drugs. There was a small dose response relationship between the number of antibiotic episodes and weight gain. CONCLUSION: Oral antibiotic use prior to 24 months of age was associated with very small changes in average growth rate at ages 2-5 years. The small effect size is unlikely to affect individual prescribing decisions, though it may reflect a biologic effect that can combine with others.

Identifying nonfatal firearm assault incidents through linking police data and clinical records: Cohort study in Indianapolis, Indiana, 2007-2016.

Nonfatal firearm assault incidents are more prevalent than gun homicides, however, little is understood about nonfatal firearm assault incidents due to a lack of accurate data in the United States. This is a descriptive study of all nonfatal firearm assault incidents identified through police and clinical records from 2007 to 2016 in Indianapolis, Indiana. Records were linked at the incident level to demonstrate the overlap and non-overlap of nonfatal firearm assault incidents in police and clinical records and describe differences in demographic characteristics of the victims. Incidents were matched within a 24-h time window of the recorded date of the police incident. Data were analyzed in fall 2020. There were 3797 nonfatal firearm assault incidents identified in police reports and 3131 clinical encounters with an ICD 9/10 diagnosis-based nonfatal firearm-related injury. 62% (n = 2366) of nonfatal firearm assault incidents matched within 24 h to a clinical encounter, 81% (n = 1905) had a firearm related ICD code: 40% (n = 947) were coded as a firearm-related assault, 32% (n = 754) were coded as a firearm-related accident; and 8.6% (n = 198) were coded as undetermined, self-inflicted or law enforcement firearm-related. The other 20% (n = 461) did not have an ICD firearm related diagnosis code. Results indicate most nonfatal firearm assault incidents overlap between police and clinical records systems, however, discrepancies between the systems exist. These findings also demonstrate an undercounting of nonfatal firearm assault incidents when relying on clinical data systems alone and more efforts are needed to link administrative police and clinical data in the study of nonfatal firearm assaults.

Correction: Evaluating the extent of reusability of CYP2C19 genotype data among patients genotyped for antiplatelet therapy selection.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Evaluating the extent of reusability of CYP2C19 genotype data among patients genotyped for antiplatelet therapy selection.

PURPOSE: Genotype-guided antiplatelet therapy is increasingly being incorporated into clinical care. The purpose of this study is to determine the extent to which patients initially genotyped for CYP2C19 to guide antiplatelet therapy were prescribed additional medications affected by CYP2C19. METHODS: We assembled a cohort of patients from eight sites performingCYP2C19 genotyping to inform antiplatelet therapy. Medication orders were evaluated from time of genotyping through one year. The primary endpoint was the proportion of patients prescribed two or more CYP2C19 substrates. Secondary endpoints were the proportion of patients with a drug-genotype interaction and time to receiving a CYP2C19 substrate. RESULTS: Nine thousand one hundred ninety-one genotyped patients (17% nonwhite) with a mean age of 68 ± 3 years were evaluated; 4701 (51%) of patients received two or more CYP2C19 substrates and 3835 (42%) of patients had a drug-genotype interaction. The average time between genotyping and CYP2C19 substrate other than antiplatelet therapy was 25 ± 10 days. CONCLUSIONS: More than half of patients genotyped in the setting of CYP2C19-guided antiplatelet therapy received another medication impacted by CYP2C19 in the following year. Given that genotype is stable for a patient's lifetime, this finding has implications for cost effectiveness, patient care, and treatment outcomes beyond the indication for which it was originally performed.

Validity of Cardiovascular Data From Electronic Sources: The Multi-Ethnic Study of Atherosclerosis and HealthLNK.

BACKGROUND: Understanding the validity of data from electronic data research networks is critical to national research initiatives and learning healthcare systems for cardiovascular care. Our goal was to evaluate the degree of agreement of electronic data research networks in comparison with data collected by standardized research approaches in a cohort study. METHODS: We linked individual-level data from MESA (Multi-Ethnic Study of Atherosclerosis), a community-based cohort, with HealthLNK, a 2006 to 2012 database of electronic health records from 6 Chicago health systems. To evaluate the correlation and agreement of blood pressure in HealthLNK in comparison with in-person MESA examinations, and body mass index in HealthLNK in comparison with MESA, we used Pearson correlation coefficients and Bland-Altman plots. Using diagnoses in MESA as the criterion standard, we calculated the performance of HealthLNK for hypertension, obesity, and diabetes mellitus diagnosis by using International Classification of Diseases, Ninth Revision codes and clinical data. We also identified potential myocardial infarctions, strokes, and heart failure events in HealthLNK and compared them with adjudicated events in MESA. RESULTS: Of the 1164 MESA participants enrolled at the Chicago Field Center, 802 (68.9%) participants had data in HealthLNK. The correlation was low for systolic blood pressure (0.39; P<0.0001). In comparison with MESA, HealthLNK overestimated systolic blood pressure by 6.5 mm Hg (95% confidence interval, 4.2-7.8). There was a high correlation between body mass index in MESA and HealthLNK (0.94; P<0.0001). HealthLNK underestimated body mass index by 0.3 kg/m2 (95% confidence interval, -0.4 to -0.1). With the use of International Classification of Diseases, Ninth Revision codes and clinical data, the sensitivity and specificity of HealthLNK queries for hypertension were 82.4% and 59.4%, for obesity were 73.0% and 89.8%, and for diabetes mellitus were 79.8% and 93.3%. In comparison with adjudicated cardiovascular events in MESA, the concordance rates for myocardial infarction, stroke, and heart failure were, respectively, 41.7% (5/12), 61.5% (8/13), and 62.5% (10/16). CONCLUSIONS: These findings illustrate the limitations and strengths of electronic data repositories in comparison with information collected by traditional standardized epidemiological approaches for the ascertainment of cardiovascular risk factors and events.

Electronic Health Record (EHR)-Based Community Health Measures: An Exploratory Assessment of Perceived Usefulness by Local Health Departments.

BACKGROUND: Given the widespread adoption of electronic health record (EHR) systems in health care organizations, public health agencies are interested in accessing EHR data to improve health assessment and surveillance. Yet there exist few examples in the U.S. of governmental health agencies using EHR data routinely to examine disease prevalence and other measures of community health. The objective of this study was to explore local health department (LHD) professionals' perceptions of the usefulness of EHR-based community health measures, and to examine these perceptions in the context of LHDs' current access and use of sub-county data, data aggregated at geographic levels smaller than county. METHODS: To explore perceived usefulness, we conducted an online survey of LHD professionals in Indiana. One hundred and thirty-three (133) individuals from thirty-one (31) LHDs participated. The survey asked about usefulness of specific community health measures as well as current access to and uses of sub-county population health data. Descriptive statistics were calculated to examine respondents' perceptions, access, and use. A one-way ANOVA (with pairwise comparisons) test was used to compare average scores by LHD size. RESULTS: Respondents overall indicated moderate agreement on which community health measures might be useful. Perceived usefulness of specific EHR-based community health measures varied by size of respondent's LHD [F(3, 88) = 3.56, p = 0.017]. Over 70% of survey respondents reported using community health data, but of those < 30% indicated they had access to sub-county level data. CONCLUSION: Respondents generally preferred familiar community health measures versus novel, EHR-based measures that are not in widespread use within health departments. Access to sub-county data is limited but strongly desired. Future research and development is needed as LHD staff gain access to EHR data and apply these data to support the core function of health assessment.

Lessons Learned When Introducing Pharmacogenomic Panel Testing into Clinical Practice.

OBJECTIVES: Implementing new programs to support precision medicine in clinical settings is a complex endeavor. We describe challenges and potential solutions based on the Indiana GENomics Implementation: an Opportunity for the Underserved (INGenious) program at Eskenazi Health-one of six sites supported by the Implementing GeNomics In pracTicE network grant of the National Institutes of Health/National Human Genome Research Institute. INGenious is an implementation of a panel of genomic tests. METHODS: We conducted a descriptive case study of the implementation of this pharmacogenomics program, which has a wide scope (14 genes, 27 medications) and a diverse population (patients who often have multiple chronic illnesses, in a large urban safety-net hospital and its outpatient clinics). CHALLENGES: We placed the clinical pharmacogenomics implementation challenges into six categories: patient education and engagement in care decision making; clinician education and changes in standards of care; integration of technology into electronic health record systems; translational and implementation sciences in real-world clinical environments; regulatory and reimbursement considerations, and challenges in measuring outcomes. A cross-cutting theme was the need for careful attention to workflow. Our clinical setting, a safety-net health care system, presented some distinctive challenges. Patients often had multiple chronic illnesses and sometimes were taking more than one pharmacogenomics-relevant medication. Reaching patients for recruitment or follow-up was another challenge. CONCLUSIONS: New, large-scale endeavors in health care are challenging. A description of the challenges that we encountered and the approaches that we adopted to address them may provide insights for those who implement and study innovations in other health care systems.

Pharmacological Prophylaxis for Venous Thromboembolism Among Hospitalized Patients With Acute Medical Illness: An Electronic Medical Records Study.

Patients hospitalized with acute medical illness have an elevated risk of venous thromboembolism (VTE). American College of Chest Physicians guidelines list various chronic illnesses, sepsis, advanced age, history of VTE, and immobility as risk factors and recommend prophylactic anticoagulation using fondaparinux, low-molecular weight heparin, or low-dose unfractionated heparin. The objectives of this study were to examine pharmacological prophylaxis against VTE among hospitalized medically ill patients and to assess demographic and clinical correlates related to VTE prophylaxis. A retrospective (1999-2010) electronic medical records study included patients aged 40 years and older hospitalized for at least 3 days, with significant medical illness or with a VTE hospitalization 30-365 days before admission. Each patient's first qualifying hospitalization was analyzed. Exclusions were if VTE treatment was started within 1 day of admission, or if warfarin (and not heparin or enoxaparin) was used. Prophylaxis was defined if the first inpatient dose of subcutaneous heparin or enoxaparin was at prophylaxis levels (lower than treatment levels). Multivariable logistic regression was used to examine factors associated with VTE prophylaxis. Among 12,980 patients, 22.1% received prophylaxis (11.8% with enoxaparin, 10.3% with heparin). VTE prophylaxis was positively associated with year of hospitalization, subcutaneous heparin in the month before admission, aspirin, self-pay status, age, and sepsis. VTE prophylaxis was negatively associated with smoking, alcohol, warfarin in the past 30 days, and primary diagnoses of stroke, infectious disease, or inflammatory bowel disease. Pharmacological VTE prophylaxis has increased significantly over the past 12 years but is still largely underused in patients hospitalized with acute medical illness. Multiple demographic, behavioral, and clinical factors are associated with inpatient VTE prophylaxis.

Pharmacologic Prophylaxis for Venous Thromboembolism Among Patients With Total Joint Replacement: An Electronic Medical Records Study.

Patients who have total hip (THR) or knee (TKR) replacement have an elevated risk of venous thromboembolism (VTE). The American College of Chest Physicians guidelines recommend prophylactic anticoagulation. The aim of the study was to examine pharmacologic prophylaxis against VTE among patients with THR or TKR and to assess demographic and clinical correlates related to VTE prophylaxis. Using 15 years of data (1995-2009) from an electronic medical record system for an inner-city public hospital in the United States, we examined pharmacologic prophylaxis against VTE and associated factors in patients after THR (n = 242) and TKR (n = 317). Before the early 2000s, aspirin was the most common prophylaxis agent (THR, 61% and TKR, 65%), and 26% of patients with THR and 19% of patients with TKR did not receive prophylaxis. Enoxaparin use has increased since 2000, and warfarin is now the most common prophylaxis agent (THR, 70% and TKR, 61%). After controlling for time period, factors associated with prophylaxis pattern included obesity, hip fracture, and the surgeon's number of years in practice. VTE prophylaxis medications in patients with total joint replacement have changed over 15 years, in trends generally consistent with the evolution of guidelines. Obesity, history of hip fracture, and physician's experience are associated with the prescription of VTE prophylaxis medications.

Gallbladder Ejection Fraction Is Unrelated to Gallbladder Pathology in Children and Adolescents.

OBJECTIVES: Biliary dyskinesia is a common diagnosis that frequently results in cholecystectomy. In adults, most clinicians use a cut off value for the gallbladder ejection fraction (GBEF) of <35% to define the disease. This disorder is not well characterized in children. Our aim was to determine the relation between GBEF and gallbladder pathology using a large statewide medical record repository. METHODS: We obtained records from all patients of 21 years and younger who underwent hepatic iminodiacetic acid (HIDA) testing within the Indiana Network for Patient Care from 2004 to 2013. GBEF results were obtained from radiology reports using data mining techniques. Age, sex, race, and insurance status were obtained for each patient. Any gallbladder pathology obtained subsequent to an HIDA scan was also obtained and parsed for mention of cholecystitis, cholelithiasis, or cholesterolosis. We performed mixed effects logistic regression analysis to determine the influence of age, sex, race, insurance status, pathologist, and GBEF on the presence of these histologic findings. RESULTS: Two thousand eight hundred forty-one HIDA scans on 2558 patients were found. Of these, 310 patients had a full-text gallbladder pathology report paired with the HIDA scan. GBEF did not correlate with the presence of gallbladder pathology (cholecystitis, cholelithiasis, or cholesterolosis) when controlling for age, sex, race, insurance status, and pathologist using a mixed effects model. CONCLUSIONS: Hypokinetic gallbladders are no more likely to have gallbladder pathology than normal or hyperkinetic gallbladders in the setting of a patient with both a HIDA scan and a cholecystectomy. Care should be used when interpreting the results of HIDA scans in children and adolescents.

Test positivity for chlamydia, gonorrhea, and syphilis infection among a cohort of individuals released from jail in Marion County, Indiana.

BACKGROUND: Individuals entering jails have high rates of sexually transmitted infections (STI), but there are few data on STI in the postincarceration period. This study aimed to describe rates of chlamydia, gonorrhea, and syphilis infection among individuals released from Marion County (Indianapolis), Indiana jails. METHODS: We conducted a retrospective cohort study of individuals incarcerated in Marion County, Indiana jails from 2003 to 2008 (n = 118,670). We linked county jail and public health data to identify individuals with positive STI test results in the 1 year after release from jail. Rates per 100,000 individuals and Cox proportional hazard analyses were performed for each STI, stratified by demographic, STI, and jail characteristics. RESULTS: We found significantly higher rates of STI in this cohort than in the general population, with rates in the 1 year after release being 2 to 7 times higher for chlamydia, 5 to 24 times higher for gonorrhea, and 19 to 32 times higher for syphilis compared with rates in the general population. Characteristics most associated with increased risk of a positive STI test result among this cohort were younger age for chlamydia and gonorrhea, older age for syphilis, black race for men, being jailed for prostitution for women, history of STI, and history of prior incarceration. CONCLUSIONS: This study found high rates of STIs among a cohort of individuals recently released from jail and identified a number of risk factors. Further study is needed to improve targeted STI testing and treatment among this high-risk population.

Epidemiology of Sexually Transmitted Infections Among Offenders Following Arrest or Incarceration.

OBJECTIVES: We sought to estimate rates of sexually transmitted infections (STIs) among criminal offenders in the 1 year after arrest or release from incarceration. METHODS: We performed a retrospective cohort study of risk of having a positive STI (chlamydia, gonorrhea, or syphilis) or incident-positive HIV test in the 1 year following arrest or incarceration in Marion County (Indianapolis), Indiana. Participants were 247,211 individuals with arrest or incarceration in jail, prison, or juvenile detention between 2003 and 2008. RESULTS: Test positivity rates (per 100,000 and per year) were highest for chlamydia (2968) and gonorrhea (2305), and lower for syphilis (278) and HIV (61). Rates of positive STI and HIV were between 1.5 and 2.8 times higher in female than male participants and between 2.7 and 6.9 times higher for Blacks than Whites. Compared with nonoffenders, offenders had a relative risk of 3.9 for chlamydia, 6.6 for gonorrhea, 3.6 for syphilis, and 4.6 for HIV. CONCLUSIONS: The 1-year period following arrest or release from incarceration represents a high-impact opportunity to reduce STI and HIV infection rates at a population level.

Trends in Neonatal Opioid Withdrawal Syndrome and Opioid Exposure Diagnoses Among Infants With Private Health Insurance, 2016-2021: Introduction of the P04.14 ICD-10-CM Code.

OBJECTIVE: The opioid epidemic has led to a surge in diagnoses of neonatal opioid withdrawal syndrome (NOWS). Many states track the incidence of NOWS by using the P96.1 International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) code for "neonatal withdrawal symptoms from maternal use of drugs of addiction." In October 2018, an ICD-10-CM code for neonatal opioid exposure (P04.14) was introduced. This code can be used when an infant is exposed to opioids in utero but does not have clinically significant withdrawal symptoms. We analyzed the effect of the P04.14 code on the incidence rate of NOWS (P96.1) and "other" neonatal drug exposure diagnoses (P04.49). METHODS: We used private health insurance data collected for infants in the United States from the first quarter of 2016 through the third quarter of 2021 to describe incidence rates for each code over time and examine absolute and percentage changes before and after the introduction of code P04.14. RESULTS: The exclusive use of code P96.1 declined from an incidence rate per 1000 births of 1.08 in 2016-2018 to 0.70 in 2019-2021, a -35.7% (95% CI, -47.6% to -23.8%) reduction. Use of code P04.49 only declined from an incidence rate of 2.34 in 2016-2018 to 1.64 in 2019-2021, a -30.0% (95% CI, -36.4% to -23.7%) reduction. Use of multiple codes during the course of treatment increased from an average incidence per 1000 births of 0.56 in 2016-2018 to 0.79 in 2019-2021, a 45.5% (95% CI, 24.8%-66.1%) increase. CONCLUSION: The introduction of ICD-10-CM code P04.14 altered the use of other neonatal opioid exposure codes. The use of multiple codes increased, indicating that some ambiguity may exist about which ICD-10-CM code is most appropriate for a given set of symptoms.

Using electronic health records to enhance surveillance of diabetes in children, adolescents and young adults: a study protocol for the DiCAYA Network.

INTRODUCTION: Traditional survey-based surveillance is costly, limited in its ability to distinguish diabetes types and time-consuming, resulting in reporting delays. The Diabetes in Children, Adolescents and Young Adults (DiCAYA) Network seeks to advance diabetes surveillance efforts in youth and young adults through the use of large-volume electronic health record (EHR) data. The network has two primary aims, namely: (1) to refine and validate EHR-based computable phenotype algorithms for accurate identification of type 1 and type 2 diabetes among youth and young adults and (2) to estimate the incidence and prevalence of type 1 and type 2 diabetes among youth and young adults and trends therein. The network aims to augment diabetes surveillance capacity in the USA and assess performance of EHR-based surveillance. This paper describes the DiCAYA Network and how these aims will be achieved. METHODS AND ANALYSIS: The DiCAYA Network is spread across eight geographically diverse US-based centres and a coordinating centre. Three centres conduct diabetes surveillance in youth aged 0-17 years only (component A), three centres conduct surveillance in young adults aged 18-44 years only (component B) and two centres conduct surveillance in components A and B. The network will assess the validity of computable phenotype definitions to determine diabetes status and type based on sensitivity, specificity, positive predictive value and negative predictive value of the phenotypes against the gold standard of manually abstracted medical charts. Prevalence and incidence rates will be presented as unadjusted estimates and as race/ethnicity, sex and age-adjusted estimates using Poisson regression. ETHICS AND DISSEMINATION: The DiCAYA Network is well positioned to advance diabetes surveillance methods. The network will disseminate EHR-based surveillance methodology that can be broadly adopted and will report diabetes prevalence and incidence for key demographic subgroups of youth and young adults in a large set of regions across the USA.

Systematic data quality assessment of electronic health record data to evaluate study-specific fitness: Report from the PRESERVE research study.

Study-specific data quality testing is an essential part of minimizing analytic errors, particularly for studies making secondary use of clinical data. We applied a systematic and reproducible approach for study-specific data quality testing to the analysis plan for PRESERVE, a 15-site, EHR-based observational study of chronic kidney disease in children. This approach integrated widely adopted data quality concepts with healthcare-specific evaluation methods. We implemented two rounds of data quality assessment. The first produced high-level evaluation using aggregate results from a distributed query, focused on cohort identification and main analytic requirements. The second focused on extended testing of row-level data centralized for analysis. We systematized reporting and cataloguing of data quality issues, providing institutional teams with prioritized issues for resolution. We tracked improvements and documented anomalous data for consideration during analyses. The checks we developed identified 115 and 157 data quality issues in the two rounds, involving completeness, data model conformance, cross-variable concordance, consistency, and plausibility, extending traditional data quality approaches to address more complex stratification and temporal patterns. Resolution efforts focused on higher priority issues, given finite study resources. In many cases, institutional teams were able to correct data extraction errors or obtain additional data, avoiding exclusion of 2 institutions entirely and resolving 123 other gaps. Other results identified complexities in measures of kidney function, bearing on the study's outcome definition. Where limitations such as these are intrinsic to clinical data, the study team must account for them in conducting analyses. This study rigorously evaluated fitness of data for intended use. The framework is reusable and built on a strong theoretical underpinning. Significant data quality issues that would have otherwise delayed analyses or made data unusable were addressed. This study highlights the need for teams combining subject-matter and informatics expertise to address data quality when working with real world data.

A regional informatics platform for coordinated antibiotic-resistant infection tracking, alerting, and prevention.

BACKGROUND: We developed and assessed the impact of a patient registry and electronic admission notification system relating to regional antimicrobial resistance (AMR) on regional AMR infection rates over time. We conducted an observational cohort study of all patients identified as infected or colonized with methicillin-resistant Staphylococcus aureus (MRSA) and/or vancomycin-resistant enterococci (VRE) on at least 1 occasion by any of 5 healthcare systems between 2003 and 2010. The 5 healthcare systems included 17 hospitals and associated clinics in the Indianapolis, Indiana, region. METHODS: We developed and standardized a registry of MRSA and VRE patients and created Web forms that infection preventionists (IPs) used to maintain the lists. We sent e-mail alerts to IPs whenever a patient previously infected or colonized with MRSA or VRE registered for admission to a study hospital from June 2007 through June 2010. RESULTS: Over a 3-year period, we delivered 12 748 e-mail alerts on 6270 unique patients to 24 IPs covering 17 hospitals. One in 5 (22%-23%) of all admission alerts was based on data from a healthcare system that was different from the admitting hospital; a few hospitals accounted for most of this crossover among facilities and systems. CONCLUSIONS: Regional patient registries identify an important patient cohort with relevant prior antibiotic-resistant infection data from different healthcare institutions. Regional registries can identify trends and interinstitutional movement not otherwise apparent from single institution data. Importantly, electronic alerts can notify of the need to isolate early and to institute other measures to prevent transmission.

Impact of dementia on payments for long-term and acute care in an elderly cohort.

BACKGROUND: Older people with dementia have increased risk of nursing home (NH) use and higher Medicaid payments. Dementia's impact on acute care use and Medicare payments is less well understood. OBJECTIVES: Identify trajectories of incident dementia and NH use, and compare Medicare and Medicaid payments for persons having different trajectories. RESEARCH DESIGN: Retrospective cohort of older patients who were screened for dementia in 2000-2004 and were tracked for 5 years. Trajectories were identified with latent class growth analysis. SUBJECTS: A total of 3673 low-income persons aged 65 or older without dementia at baseline. MEASURES: Incident dementia diagnosis, comorbid conditions, dual eligibility, acute and long-term care use and payments based on Medicare and Medicaid claims, medical record systems, and administrative data. RESULTS: Three trajectories were identified based on dementia incidence and short-term and long-term NH use: (1) high incidence of dementia with heavy NH use (5% of the cohort) averaging $56,111/year ($36,361 Medicare, $19,749 Medicaid); (2) high incidence of dementia with little or no NH use (16% of the cohort) averaging $16,206/year ($14,644 Medicare, $1562 Medicaid); and (3) low incidence of dementia and little or no NH use (79% of the cohort) averaging $8475/year ($7558 Medicare, $917 Medicaid). CONCLUSIONS: Dementia and its interaction with NH utilization are major drivers of publicly financed acute and long-term care payments. Medical providers in Accountable Care Organizations and other health care reform efforts must effectively manage dementia care across the care continuum if they are to be financially viable.