Usha Sambamoorthi, Ph.D.
Permanent URI for this communityhttps://hdl.handle.net/20.500.12503/31896
Associate Professor, Pharmacotherapy
UNT System College of Pharmacy
Email: Usha.Sambamoorthi@unthsc.edu
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Browsing Usha Sambamoorthi, Ph.D. by Author "Findley, Patricia A."
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Item Association of multimorbidity with the use of health information technology(Sage Publications, 2023-05-01) Manning, Sydney E.; Wang, Hao; Dwibedi, Nilanjana; Shen, Chan; Wiener, R. Constance; Findley, Patricia A.; Mitra, Sophie; Sambamoorthi, UshaOBJECTIVE: To examine the association of multimorbidity with health information technology use among adults in the USA. METHODS: We used cross-sectional study design and data from the Health Information National Trends Survey 5 Cycle 4. Health information technology use was measured with ten variables comprising access, recent use, and healthcare management. Unadjusted and adjusted logistic and multinomial logistic regressions were used to model the associations of multimorbidity with health information technology use. RESULTS: Among adults with multimorbidity, health information technology use for specific purposes ranged from 37.8% for helping make medical decisions to 51.7% for communicating with healthcare providers. In multivariable regressions, individuals with multimorbidity were more likely to report general use of health information technology (adjusted odds ratios = 1.48, 95% confidence intervals = 1.01-2.15) and more likely to use health information technology to check test results (adjusted odds ratios = 1.85, 95% confidence intervals = 1.33-2.58) compared to adults with only one chronic condition, however, there were no significant differences in other forms of health information technology use. We also observed interactive associations of multimorbidity and age on various components of health information technology use. Compared to younger adults with multimorbidity, older adults (>/= 65 years of age) with multimorbidity were less likely to use almost all aspects of health information technology. CONCLUSION: Health information technology use disparities by age and multimorbidity were observed. Education and interventions are needed to promote health information technology use among older adults in general and specifically among older adults with multimorbidity.Item Increase in body mass index during the COVID-19 pandemic among people who smoke: An analysis of multi-site electronic health records(PLOS, 2023-04-12) Wiener, R. Constance; Waters, Christopher; Morgan, Emily; Findley, Patricia A.; Shen, Chan; Wang, Hao; Sambamoorthi, UshaThe effects of the COVID-19 period among people who smoke (compared by sex) are largely unknown. The purpose of this study was to compare body mass index (BMI) increase among men and women who smoked during the pandemic. We used a retrospective longitudinal, observational study design of secondary data. We used electronic health records from TriNetX network (n = 486,072) from April 13, 2020-May 5, 2022 among adults aged 18-64 who smoked and had a normal BMI prior to the pandemic. The main measure was a change of BMI from < 25 to >/=25. Risk ratio was determined between men and women with propensity score matching. Overall, 15.8% increased BMI to >/=25; 44,540 (18.3%) were women and 32,341 (13.3%) were men (Risk Ratio = 1.38, 95% CI: 1.36, 1.40; p < .0001). Adults with diabetes, hypertension, asthma, COPD or emphysema or who were women, were more likely to develop BMI>/=25 during the pandemic. Women who smoked were more likely to have an increase in BMI than men who smoked during the COVID-19 period.Item The association of COVID-19 vaccine availability with mental health among adults in the United States(Frontiers Media S.A., 2022-08-09) Shen, Chen; Rashiwala, Lucy; Wiener, R. Constance; Findley, Patricia A.; Wang, Hao; Sambamoorthi, UshaObjective: To assess whether COVID-19 vaccine approval and availability was associated with reduction in the prevalence of depression and anxiety among adults in the United States. Methods: We adopted cross sectional and quasi-experimental design with mental health measurements before vaccine availability (June 2020, N = 68,009) and after vaccine availability (March 2021, N = 63,932) using data from Census Pulse Survey. Depression and anxiety were derived from PHQ-2 and GAD-2 questionnaires. We compared rates of depression and anxiety between June 2020 and March 2021. Unadjusted and adjusted analysis with replicate weights were conducted. Results: Depression prevalence was 25.0% in June 2020 and 24.6% in March 2021; anxiety prevalence was 31.7% in June 2020 and 30.0% in March 2021 in the sample. In adjusted analysis, there were no significant differences in likelihood of depression and anxiety between June 2020 and March 2021. Conclusion: Depression and anxiety were not significantly different between June 2020 and March 2021, which suggests that the pandemic effect continues to persist even with widespread availability of vaccines.