Browsing by Author "Kho, Abel N."

Now showing 1 - 4 of 4
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    Effect of the Affordable Care Act on diabetes care at major health centers: newly detected diabetes and diabetes medication management
    (BMJ, 2021-06) Furmanchuk, Al'ona; Liu, Mei; Song, Xing; Waitman, Lemuel R.; Meurer, John R.; Osinski, Kristen; Stoddard, Alexander; Chrischilles, Elizabeth; McClay, James C.; Cowell, Lindsay G.; Tachinardi, Umberto; Embi, Peter J.; Mosa, Abu Saleh Mohammad; Mandhadi, Vasanthi; Shah, Raj C.; Garcia, Diana; Angulo, Francisco; Patino, Alejandro; Trick, William E.; Markossian, Talar W.; Rasmussen-Torvik, Laura J.; Kho, Abel N.; Black, Bernard S.; Biostatistics, School of Public Health
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    Identifying risk factors for healthcare-associated infections from electronic medical record home address data
    (BMC, 2010-09-17) Wilson, Jeffrey S.; Shepherd, David C.; Rosenman, Marc B.; Kho, Abel N.; Geography, School of Liberal Arts
    Background Residential address is a common element in patient electronic medical records. Guidelines from the U.S. Centers for Disease Control and Prevention specify that residence in a nursing home, skilled nursing facility, or hospice within a year prior to a positive culture date is among the criteria for differentiating healthcare-acquired from community-acquired methicillin-resistant Staphylococcus aureus (MRSA) infections. Residential addresses may be useful for identifying patients residing in healthcare-associated settings, but methods for categorizing residence type based on electronic medical records have not been widely documented. The aim of this study was to develop a process to assist in differentiating healthcare-associated from community-associated MRSA infections by analyzing patient addresses to determine if residence reported at the time of positive culture was associated with a healthcare facility or other institutional location. Results We identified 1,232 of the patients (8.24% of the sample) with positive cultures as probable cases of healthcare-associated MRSA based on residential addresses contained in electronic medical records. Combining manual review with linking to institutional address databases improved geocoding rates from 11,870 records (79.37%) to 12,549 records (83.91%). Standardization of patient home address through geocoding increased the number of matches to institutional facilities from 545 (3.64%) to 1,379 (9.22%). Conclusions Linking patient home address data from electronic medical records to institutional residential databases provides useful information for epidemiologic researchers, infection control practitioners, and clinicians. This information, coupled with other clinical and laboratory data, can be used to inform differentiation of healthcare-acquired from community-acquired infections. The process presented should be extensible with little or no added data costs.
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    A regional informatics platform for coordinated antibiotic resistant infection tracking, alerting and prevention
    (2013-04) Kho, Abel N.; Doebbeling, Bradley N.; Cashy, John P.; Rosenman, Marc B.; Dexter, Paul R.; Shepherd, David C.; Lemmon, Larry; Teal, Evgenia; Khokar, Shahid; Overhage, J. Marc
    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.
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    The development and initial validation of the PROMIS®+HF‐27 and PROMIS+HF‐10 profiles
    (Wiley, 2022) Ahmad, Faraz S.; Jackson, Kathryn L.; Yount, Susan E.; Rothrock, Nan E.; Kallen, Michael A.; Lacson, Leilani; Bilimoria, Karl Y.; Kho, Abel N.; Mutharasan, Raja Kannan; McCullough, Peter A.; Bruckel, Jeffrey; Fedson, Savitri; Kimmel, Stephen E.; Eton, David T.; Grady, Kathleen L.; Yancy, Clyde W.; Cella, David; Surgery, School of Medicine
    Aims: Heart failure (HF) is a common and morbid condition impacting multiple health domains. We previously reported the development of the PROMIS®-Plus-HF (PROMIS+HF) profile measure, including universal and HF-specific items. To facilitate use, we developed shorter, PROMIS+HF profiles intended for research and clinical use. Methods and results: Candidate items were selected based on psychometric properties and symptom range coverage. HF clinicians (n = 43) rated item importance and clinical actionability. Based on these results, we developed the PROMIS+HF-27 and PROMIS+HF-10 profiles with summary scores (0-100) for overall, physical, mental, and social health. In a cross-sectional sample (n = 600), we measured internal consistency reliability (Cronbach's alpha and Spearman-Brown), test-retest reliability (intraclass coefficient; n = 100), known-groups validity via New York Heart Association (NYHA) class, and convergent validity with Kansas City Cardiomyopathy Questionnaire (KCCQ) scores. In a longitudinal sample (n = 75), we evaluated responsiveness of baseline/follow-up scores by calculating mean differences and Cohen's d and comparing with paired t-tests. Internal consistency was good to excellent (α 0.82-0.94) for all PROMIS+HF-27 scores and acceptable to good (α/Spearman-Brown 0.60-0.85) for PROMIS+HF-10 scores. Test-retest intraclass coefficients were acceptable to excellent (0.75-0.97). Both profiles demonstrated known-groups validity for the overall and physical health summary scores based on NYHA class, and convergent validity for nearly all scores compared with KCCQ scores. In the longitudinal sample, we demonstrated responsiveness for PROMIS+HF-27 and PROMIS+HF-10 overall and physical summary scores. For the PROMIS+HF overall summary scores, a group-based increase of 7.6-8.3 points represented a small to medium change (Cohen's d = 0.40-0.42). For the PROMIS+HF physical summary scores, a group-based increase of 5.0-5.9 points represented a small to medium change (Cohen's d = 0.29-0.35). Conclusions: The PROMIS+HF-27 and PROMIS+HF-10 profiles demonstrated good psychometric characteristics with evidence of responsiveness for overall and physical health. These new measures can facilitate patient-centred research and clinical care, such as improving care quality through symptom monitoring, facilitating shared decision-making, evaluating quality of care, assessing new interventions, and monitoring during the initiation and titration of guideline-directed medical therapy.