Alla Sikorskii

Prof. Alla Sikorskii


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 March 2014 in Fractional Calculus and Applied Analysis
Verified
Journal Article
Open access
PDF file
AKAlexander Kerss
Alexander Kerss
NLNikolai Leonenko
Nikolai Leonenko
ASAlla Sikorskii
Alla Sikorskii

9 December 2022 in Nursing Research
Verified
Journal Article
Closed access
TBTerry A. Badger
Terry A. Badger
CSChris Segrin
Chris Segrin
TCTracy E. Crane
Tracy E. Crane
PCPavani Chalasani
Pavani Chalasani
WAWaqas Arslan
Waqas Arslan
ASAlla Sikorskii
Alla Sikorskii
Background: Cancer survivors (defined as individuals from diagnosis to the end of life) in treatment experience multiple physical and psychological symptoms (e.g., fatigue, pain, depression, anxiety, disturbed sleep) that influence their well-being and treatment outcomes. Underrepresented cancer survivors may disproportionately experience greater symptom burden (number of symptoms, symptom severity, depression, anxiety). Objectives: The aim of this study was to examine the relationships of social determinants of health, including age, ethnicity, education, income and whether income meets the survivor's needs, neighborhood (rural vs. urban), access to healthcare (e.g., insurance), and social isolation, with symptom burden in cancer survivors. Methods: This secondary analysis included baseline data from 400 cancer survivors of solid tumor cancers undergoing chemotherapy or targeted therapy who participated in a larger randomized trial of symptom management interventions. Symptom burden was measured by the Center for Epidemiological Studies–Depression scale for depression and Patient-Reported Outcomes Measurement Information System scores for anxiety and social isolation, summed severity index of 16 symptoms from the General Symptom Distress Scale, and the total number of symptoms. Self-reported comorbid conditions were measured using the Bayliss tool. General linear models were used to relate symptom measures (one at a time) to age, number of comorbid conditions, level of education, marital status, income meeting needs, and size of metropolitan neighborhood. Additional covariates included site of cancer, its treatment, and whether the cancer was metastatic. Results: Non-Hispanic White survivors (n = 191) were older and had more comorbid conditions, a higher proportion of metastatic cancers, and higher levels of education and income compared with Hispanic survivors (n = 168) and non-Hispanic survivors of other races (n = 41). Compared with the other two groups, Hispanic survivors had the lowest rate of health insurance availability, and non-Hispanic survivors of other races had the lowest social isolation. Age, number of comorbid conditions, and social isolation were significantly associated with number of symptoms, symptom severity, and depression. Age and social isolation were associated with anxiety. In addition, the symptom severity of non-Hispanic White survivors was lower than that of Hispanic survivors and non-Hispanic survivors of other races. Discussion: These findings highlight the health disparities in symptom burden experienced among cancer survivors when considering their social determinants of health. Assessing these may help clinicians address health disparities in cancer care.

1 February 2019 in Brain Research Bulletin
Verified
Journal Article
Closed access
MBMichael Boivin
Michael Boivin
NNNoeline Nakasujja
Noeline Nakasujja
ASAlla Sikorskii
Alla Sikorskii
HRHoracio Ruiseñor-Escudero
Horacio Ruiseñor-Escudero
IFItziar Familiar-Lopez
Itziar Familiar-Lopez
BGBruno Giordani
Bruno Giordani

1 August 2009 in Medical Care
Verified
Journal Article
Closed access
ASAlla Sikorskii
Alla Sikorskii
CGCharles W. Given
Charles W. Given
BGBarbara PhD Given
Barbara PhD Given
SJSangchoon Jeon
Sangchoon Jeon
MYMei You
Mei You
Background: Automated voice response (AVR) systems have been used to collect patient-reported outcome data. Mode of administration of the assessment may affect patient reporting. Objective: To evaluate if there is a differential reporting of symptoms by the mode of assessment: AVR versus a live telephone interview among cancer patients with solid tumors undergoing chemotherapy. Research Design: Randomized clinical trial comparing a nurse-assisted symptom management with an automated telephone symptom management. After completing intake telephone interview administered by a person, patients were randomized to either nurse arm or AVR arm to receive a 6-contact 8-week symptom management intervention. Patients in the nurse arm were called by specially trained nurses, and patients in the AVR arm were contacted via automated system to assess their symptoms and deliver symptom management strategies. Subjects: Two hundred patients in nurse arm, and 186 patients in the AVR arm completed the first intervention contact. Measures: Severities of 14 cancer-related symptoms were rated by patients at intake interview and at first intervention contact before the receipt of any interventions. Results: When compared with patients contacted by a nurse, patients contacted by the AVR reported higher severity of nausea and vomiting, diarrhea, poor appetite, constipation, diarrhea, pain, and alopecia controlling for prior intake symptom assessment that was free of mode effect. Symptom reporting varied by age, with the oldest group of patients reporting higher severity to the nurse. Conclusion: Mode effect needs to be considered in designing trials for symptom management and in symptom monitoring in clinical practice.

19 July 2021 in Research in Nursing & Health
Verified
Journal Article
Closed access
PDF file
GWGwen Wyatt
Gwen Wyatt
RLRebecca H Lehto
Rebecca H Lehto
PGPratim Guha‐Niyogi
Pratim Guha‐Niyogi
SBSarah Brewer
Sarah Brewer
DVDavid Victorson
David Victorson
ASAlla Sikorskii
Alla Sikorskii

2 July 2019 in Supportive Care in Cancer
Verified
Journal Article
Closed access
PDF file
ASAlla Sikorskii
Alla Sikorskii
PNPratim Guha Niyogi
Pratim Guha Niyogi
DVDavid Victorson
David Victorson
DTDeimante Tamkus
Deimante Tamkus
GWGwen Wyatt
Gwen Wyatt