Background--With the recent implementation of the Medicare Quality Payment Program, providers face increasing accountability for delivering high-quality care. Such pay-for-performance programs aim to leverage systematic data captured by electronic health record (EHR) systems to measure performance; however, the fidelity of EHR query for assessing performance has not been validated compared with manual chart review. We sought to determine whether our institution's methodology of EHR query could accurately identify cases in which providers failed to prescribe statins for eligible patients with coronary artery disease. Methods and Results--A total of 9459 patients with coronary artery disease were seen at least twice at the Emory Clinic between July 2014 and June 2015, of whom 1338 (14.1%, 95% confidence interval 13.5-14.9%) had no statin prescription or exemption per EHR query. A total of 120 patient cases were randomly selected and reviewed by 2 physicians for further adjudication. Of the 120 cases initially classified as statin prescription failures, only 21 (17.5%; 95% confidence interval, 11.7-25.3%) represented true failure following physician review. Conclusions--Sole reliance on EHR data query to measure quality metrics may lead to significant errors in assessing provider performance. Institutions should be cognizant of these potential sources of error, provide support to medical providers, and form collaborative data management teams to promote and improve meaningful use of EHRs. We propose actionable steps to improve the accuracy of EHR data query that require hypothesis testing and prospective validation in future studies.
by
Daniel E. Forman;
Michael W. Rich;
Karen P. Alexander;
Susan Zieman;
Mathew S. Maurer;
Samer S. Najjar;
Joseph C. Cleveland;
Harlan M. Krumholz;
Nanette Wenger
Background: Hypertension and diabetes are among the most common and deadly chronic conditions globally. In India, most adults with these conditions remain undiagnosed, untreated, or poorly treated and uncontrolled. Innovative and scalable approaches to deliver proven-effective strategies for medical and lifestyle management of these conditions are needed. Methods: The overall goal of this implementation science study is to evaluate the Integrated Tracking, Referral, Electronic decision support, and Care coordination (I-TREC) program. I-TREC leverages information technology (IT) to manage hypertension and diabetes in adults aged ≥30 years across the hierarchy of Indian public healthcare facilities. The I-TREC program combines multiple evidence-based interventions: an electronic case record form (eCRF) to consolidate and track patient information and referrals across the publicly-funded healthcare system; an electronic clinical decision support system (CDSS) to assist clinicians to provide tailored guideline-based care to patients; a revised workflow to ensure coordinated care within and across facilities; and enhanced training for physicians and nurses regarding non-communicable disease (NCD) medical content and lifestyle management. The program will be implemented and evaluated in a predominantly rural district of Punjab, India. The evaluation will employ a quasi-experimental design with mixed methods data collection. Evaluation indicators assess changes in the continuum of care for hypertension and diabetes and are grounded in the Reach, Effectiveness, Adoption Implementation, and Maintenance (RE-AIM) framework. Data will be triangulated from multiple sources, including community surveys, health facility assessments, stakeholder interviews, and patient-level data from the I-TREC program’s electronic database. Discussion: I-TREC consolidates previously proven strategies for improved management of hypertension and diabetes at single-levels of the healthcare system into a scalable model for coordinated care delivery across all levels of the healthcare system hierarchy. Findings have the potential to inform best practices to ultimately deliver quality public-sector hypertension and diabetes care across India. Trial registration: The study is registered with Clinical Trials Registry of India (registration number CTRI/2020/01/022723). The study was registered prior to the launch of the intervention on 13 January 2020. The current version of protocol is version 2 dated 6 June 2018.
by
Jessica R. White;
Chung-Chou H. Chang;
Kaku A. So-Armah;
Jesse C. Stewart;
Samir Kumar Gupta;
Adeel A. Butt;
Cynthia L. Gibert;
David Rimland;
Maria C. Rodriguez-Barradas;
David A. Leaf;
Roger J. Bedimo;
John S. Gottdiener;
Willem J. Kop;
Stephen S. Gottlieb;
Matthew J. Budoff;
Tasneem Khambaty;
Hilary Tindle;
Amy C. Justice;
Matthew S. Freiberg
Background: Both HIV and depression are associated with increased heart failure (HF) risk. Depression, a common comorbidity, may further increase the risk of HF among HIV+ adults. We assessed the association between HIV, depression and incident HF.
Methods and Results: Veterans Aging Cohort Study (VACS) participants free from cardiovascular disease at baseline (N = 81,427; 26,908 HIV+, 54,519 HIV-) were categorized into four groups: HIV- without major depressive disorder (MDD) [reference]; HIV- with MDD; HIV+ without MDD; and HIV+ with MDD. ICD-9 codes from medical records were used to determine MDD and the primary outcome, HF. After 5.8 follow-up years, HF rates per 1000 person-years were highest among HIV+ participants with MDD (9.32; 95% CI, 8.20–10.6). In Cox proportional hazards models, HIV+ participants with MDD had significantly higher risk of HF [adjusted hazard ratio (aHR) = 1.68; 95% CI, 1.45–1.95] compared to HIV- participants without MDD. MDD was associated with HF in separate fully adjusted models for HIV- and HIV+ participants (aHR = 1.21; 1.06–1.37 and 1.29; 1.11–1.51, respectively). Among those with MDD, baseline antidepressant use was associated with lower risk of incident HF events (aHR = 0.76; 0.58–0.99).
Conclusions: Our study is the first to suggest MDD is an independent risk factor for HF in HIV+ adults. These results reinforce the importance of identifying and managing MDD among HIV+ patients. Future studies must clarify mechanisms linking HIV, MDD, antidepressants, and HF; and identify interventions to reduce HF morbidity and mortality in those with both HIV and MDD.
Mass media in China play a significant role in the dissemination of HIV/AIDS knowledge to the general public. Previous studies have described how the Chinese mass media portray HIV/AIDS in general, but no study has yet to examine changes in patterns of HIV/AIDS reporting over time. This study aims to describe and examine newspaper coverage of HIV/AIDS in China from 2000 to 2010. A systematic search of the China Core Newspapers Database was conducted to identify HIV/AIDS-focused news articles; we found 3648 articles. Results show that coverage rates of HIV/AIDS in newspapers remained low, with only about three articles published per newspaper per year between 2000 and 2010. The sources focused primarily on prevention methods (23.7%), development of a cure or vaccine (21.2%), and education and awareness (17.2%). The HIV/AIDS-related topic covered in an article varied significantly depending on scope (national vs. local) of the newspaper (χ2=130.37, p<0.001) and article type (χ2=455.72, p<0.001). Totally, more articles were classified as positive than negative from 2002 to 2010. Findings indicate that the HIV/AIDS news-reporting pattern has shifted in the past decade, with more news stories disclosing information about prevention or treatment. However, coverage of HIV/AIDS remains insufficient. Enhancing collaboration between health educators and media sources can be an important strategy in disseminating HIV/AIDS knowledge.
BACKGROUND: Healthcare access, utilization, and quality play critical roles in shaping mortality and morbidity among patients diagnosed with systemic lupus erythematosus (SLE), and yet healthcare access, utilization, and quality can be suboptimal for many people living with SLE. The aim of this qualitative study was to explore the perceived impact of a peer-led, group-based educational intervention (the Chronic Disease Self-Management Program [CDSMP]) on healthcare engagement behaviors among African American women with SLE.
METHODS: Participants were recruited from the WELL (Women Empowered to Live with Lupus) study, a behavioral trial of the effectiveness of the CDSMP on African American women diagnosed with SLE. We conducted two waves of qualitative, one-on-one, semi-structured interviews with 24 purposively sampled WELL participants; one interview was conducted before CDSMP participation and one after. Wave 1 interviews explored health service use behaviors at baseline; Wave 2 interviews focused on changes in these behaviors post-intervention and women's perceptions of whether and how the CDSMP shaped these changes. Transcripts were analyzed using thematic analysis methods.
RESULTS: Study participants perceived the CDSMP to be a valuable resource for supporting two distinct health service use behaviors: communicating with doctors (N = 16 [88.9%]) and managing medication side effects (N = 17 [41.2%]). Women perceived that the CDSMP had the most potent and widespread effects on patients' communication with doctors. Strategies that women believed generated improvements in patient-doctor communication included enhancing preparation for appointments and boosting patient participation during doctor's visits. Women's reported post-CDSMP improvements in health service use behaviors varied by disease severity and depression. Insurance coverage, while not probed directly during baseline interviews, emerged organically as a key factor affecting health service use behaviors; the CDSMP did not seem to improve participants' ability to circumvent insurance-related barriers to accessing care.
CONCLUSIONS: Our findings suggest that the CDSMP may help enhance healthcare service utilization among African American women with SLE by improving doctor/patient communication and medication side effect management. If future research confirms this conclusion, African American women living with SLE should be encouraged to participate in CDSMP workshops to enhance health service use behaviors. TRIAL REGISTRATION: NCT02988661 . Registered 12/07/2016.
Over a decade ago, the Institute of Medicine called for a national cancer data system in the United States to support quality-of-care assessment and improvement, including research on effective interventions. Although considerable progress has been achieved in cancer quality measurement and effectiveness research, the nation still lacks a population-based data infrastructure for accurately identifying cancer patients and tracking services and outcomes over time. For compelling reasons, the most effective pathway forward may be the development of state-level cancer data systems, in which central registry data are linked to multiple public and private secondary sources. These would include administrative/claims files from Medicare, Medicaid, and private insurers. Moreover, such a state-level system would promote rapid learning by encouraging adoption of near-real-time reporting and feedback systems, such as the Commission on Cancer's new Rapid Quality Reporting System. The groundwork for such a system is being laid in the state of Georgia, and similar work is advancing in other states. The pace of progress depends on the successful resolution of issues related to the application of information technology, financing, and governance.
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Susan P. Bell;
Nicole M. Orr;
John A. Dodson;
Michael W. Rich;
Nanette Wenger;
Kay Blum;
John Gordon Harold;
Mary Tinetti;
Mathew S. Maurer;
Daniel E. Forman
The population of older adults is expanding rapidly, and aging predisposes to cardiovascular disease. The principle of patient-centered care must respond to the preponderance of cardiac disease that now occurs in combination with the complexities of old age. Geriatric cardiology melds cardiovascular perspectives with multimorbidity, polypharmacy, frailty, cognitive decline, and other clinical, social, financial, and psychological dimensions of aging. Although some assume that a cardiologist may instinctively cultivate some of these skills over the course of a career, we assert that the volume and complexity of older cardiovascular patients in contemporary practice warrants a more direct approach to achieve suitable training and a more reliable process of care. We present a rationale and vision for geriatric cardiology as a melding of primary cardiovascular and geriatrics skills, thereby infusing cardiology practice with expanded proficiencies in diagnosis, risks, care coordination, communications, end-of-life, and other competences required to best manage older cardiovascular patients.
by
David T. Selewski;
Jonathan P. Troost;
Danyelle Cummings;
Susan F. Massengill;
Rasheed A. Gbadegesin;
Larry Greenbaum;
Ibrahim F. Shatat;
Yi Cai;
Gaurav Kapur;
Diane Hebert;
Michael J. Somers;
Howard Trachtman;
Priya Pais;
Michael E. Seifert;
Jens Goebel;
Christine B. Sethna;
John D. Mahan;
Heather E. Gross;
Emily Herreshoff;
Yang Liu;
Noelle E. Carlozzi;
Bryce B. Reeve;
Darren A. DeWalt;
Debbie S. Gipson
Background: Nephrotic syndrome represents a condition in pediatric nephrology typified by a relapsing and remitting course, proteinuria and the presence of edema. The PROMIS measures have previously been studied and validated in cross-sectional studies of children with nephrotic syndrome. This study was designed to longitudinally validate the PROMIS measures in pediatric nephrotic syndrome.
Methods: One hundred twenty seven children with nephrotic syndrome between the ages of 8 and 17years participated in this prospective cohort study. Patients completed a baseline assessment while their nephrotic syndrome was active, a follow-up assessment at the time of their first complete proteinuria remission or study month 3 if no remission occurred, and a final assessment at study month 12. Participants completed six PROMIS measures (Mobility, Fatigue, Pain Interference, Depressive Symptoms, Anxiety, and Peer Relationships), the PedsQL version 4.0, and two global assessment of change items.
Results: Disease status was classified at each assessment: nephrotic syndrome active in 100% at baseline, 33% at month 3, and 46% at month 12. The PROMIS domains of Mobility, Fatigue, Pain Interference, Depressive Symptoms, and Anxiety each showed a significant overall improvement over time (p < 0.001). When the PROMIS measures were compared to the patients' global assessment of change, the domains of Mobility, Fatigue, Pain Interference, and Anxiety consistently changed in an expected fashion. With the exception of Pain Interference, change in PROMIS domain scores did not correlate with changes in disease activity. PROMIS domain scores were moderately correlated with analogous PedsQL domain scores.
Conclusion: This study demonstrates that the PROMIS Mobility, Fatigue, Pain Interference, and Anxiety domains are sensitive to self-reported changes in disease and overall health status over time in children with nephrotic syndrome. The lack of significant anchoring to clinically defined nephrotic syndrome disease active and remission status may highlight an opportunity to improve the measurement of HRQOL in children with nephrotic syndrome through the development of a nephrotic syndrome disease-specific HRQOL measure.
Objective: A memory clinic at an academic medical center has relied on several ad hoc data capture systems including Microsoft Access and Excel for cognitive assessments over the last several years. However these solutions are challenging to maintain and limit the potential of hypothesis-driven or longitudinal research. REDCap, a secure web application based on PHP and MySQL, is a practical solution for improving data capture and organization. Here, we present a workflow and toolset to facilitate legacy data migration and real-time clinical research data collection into REDCap as well as challenges encountered.
Materials and methods: Legacy data consisted of neuropsychological tests stored in over 4000 Excel workbooks. Functions for data extraction, norm scoring, converting to REDCap-compatible formats, accessing the REDCap API, and clinical report generation were developed and executed in Python.
Results: Over 400 unique data points for each workbook were migrated and integrated into our REDCap database. Moving forward, our REDCap-based system replaces the Excel-based data collection method as well as eases the integration into the standard clinical research workflow and Electronic Health Record.
Conclusion: In the age of growing data, efficient organization and storage of clinical and research data is critical for advancing research and providing efficient patient care. We believe that the workflow and tools described in this work to promote legacy data integration as well as real time data collection into REDCap ultimately facilitate these goals.