University Library Faculty and Staff Works

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https://hdl.handle.net/1805/27
This collection includes scholarly works such as pre-prints, post-prints, articles, and conference presentations authored by IUPUI University librarians and staff.

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Browsing University Library Faculty and Staff Works by Author "Allen, Katie S."

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    Combining Nonclinical Determinants of Health and Clinical Data for Research and Evaluation: Rapid Review
    (JMIR Public Health and Surveillance, 2019) Golembiewski, Elizabeth; Allen, Katie S.; Blackmon, Amber M.; Hinrichs, Rachel J.; Vest, Joshua R.
    Background: Nonclinical determinants of health are of increasing importance to health care delivery and health policy. Concurrent with growing interest in better addressing patients’ nonmedical issues is the exponential growth in availability of data sources that provide insight into these nonclinical determinants of health. Objective: This review aimed to characterize the state of the existing literature on the use of nonclinical health indicators in conjunction with clinical data sources. Methods: We conducted a rapid review of articles and relevant agency publications published in English. Eligible studies described the effect of, the methods for, or the need for combining nonclinical data with clinical data and were published in the United States between January 2010 and April 2018. Additional reports were obtained by manual searching. Records were screened for inclusion in 2 rounds by 4 trained reviewers with interrater reliability checks. From each article, we abstracted the measures, data sources, and level of measurement (individual or aggregate) for each nonclinical determinant of health reported. Results: A total of 178 articles were included in the review. The articles collectively reported on 744 different nonclinical determinants of health measures. Measures related to socioeconomic status and material conditions were most prevalent (included in 90% of articles), followed by the closely related domain of social circumstances (included in 25% of articles), reflecting the widespread availability and use of standard demographic measures such as household income, marital status, education, race, and ethnicity in public health surveillance. Measures related to health-related behaviors (eg, smoking, diet, tobacco, and substance abuse), the built environment (eg, transportation, sidewalks, and buildings), natural environment (eg, air quality and pollution), and health services and conditions (eg, provider of care supply, utilization, and disease prevalence) were less common, whereas measures related to public policies were rare. When combining nonclinical and clinical data, a majority of studies associated aggregate, area-level nonclinical measures with individual-level clinical data by matching geographical location. Conclusions: A variety of nonclinical determinants of health measures have been widely but unevenly used in conjunction with clinical data to support population health research.
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    Findings From a Scoping Review: Presumptive Treatment for Chlamydiatrachomatis and Neisseria gonorrhoeae in the United States, 2006-2021
    (Wolters Kluwer, 2023) Allen, Katie S.; Hinrichs, Rachel; Heumann, Christine L.; Titus, Melissa K.; Duszynski, Thomas J.; Valvi, Nimish R.; Wiensch, Ashley; Tao, Guoyu; Dixon, Brian E.; University Library
    Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (GC) are the two most common reported sexually transmitted infections in the USA. Current recommendations are to presumptively treat CT and/or GC in persons with symptoms or known contact. This review characterizes the literature around studies with presumptive treatment, including identifying rates of presumptive treatment and over- and under-treatment rates. Of the 18 articles that met our inclusion criteria, six pertained to outpatient settings. In the outpatient setting, presumptive treatment rates, for both asymptomatic and symptomic patients, varied from 12% - 100%, and the percent positive of those presumptively treated ranged from 25% - 46%. Three studies also reported data on positive results in patients not presumptively treated, which ranged from 2% - 9%. Two studies reported median follow-up time for untreated, which was roughly nine days. The remaining 12 articles pertained to the emergency setting where presumptive treatment rates, for both asymptomatic and symptomic patients, varied from 16% - 91%, the percent positive following presumptive treatment ranged from 14% - 59%. Positive results without presumptive treatment ranged from 4% - 52%. Two studies reported the percent positive without any treatment (6% and 32% respectively) and one reported follow-up time for untreated infections (median: 4.8 days). Rates of presumptive treatment, as well as rates of over- or under- treatment vary widely across studies and within care settings. Given large variability in presumptive treatment, the focus on urban settings, and minimal focus on social determinants of health, additional studies are needed to guide treatment practices for CT and GC in outpatient and emergency settings.