15 results on '"Paramjeet Khosla"'
Search Results
2. MDS-516 A Rare Case of X-Linked Recessive Sideroblastic Anemia (XLSA) Masquerading as Myelodysplastic Syndrome-Refractory Anemia With Ringed Sideroblasts (MDS - RARS)
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Vijay Ketan Reddy, Dhan Bahadur Shrestha, Suman Gaire, Mohammed Kassem, and Paramjeet Khosla
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Cancer Research ,Oncology ,Hematology - Published
- 2022
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3. Poster: MDS-516 A Rare Case of X-Linked Recessive Sideroblastic Anemia (XLSA) Masquerading as Myelodysplastic Syndrome-Refractory Anemia With Ringed Sideroblasts (MDS - RARS)
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Vijay Ketan Reddy, Dhan Bahadur Shrestha, Suman Gaire, Mohammed Kassem, and Paramjeet Khosla
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Cancer Research ,Oncology ,Hematology - Published
- 2022
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4. Abstract B076: Did the Affordable Care Act improve insurance coverage and stage at diagnosis among nonelderly underserved breast cancer patients?
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Abigail Silva, Arielle Guzman, Yamile Molina, Alexandrina Balanean, Charlotte Picard, and Paramjeet Khosla
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medicine.medical_specialty ,Breast cancer ,Oncology ,Epidemiology ,business.industry ,Family medicine ,medicine ,Health insurance ,medicine.disease ,business ,Stage at diagnosis ,Insurance coverage - Abstract
Background: Through its various provisions, the Patient Protection and Affordable Care Act (ACA) has the potential to increase access to cancer care, particularly among the most vulnerable, and reduce disparities in cancer care and outcomes. The ACA might ameliorate disparities in cancer stage by improving access to health care coverage and preventative care, such as screening. The purpose of the present analysis is to examine the change in the percent uninsured and early-stage diagnosis among nonelderly breast cancer patients who receive care in an urban safety-net institution. Methods: We conducted a retrospective, observational study using medical record and cancer registry data from an urban minority-serving hospital. Patients were identified through the cancer registry and included if they were non-Latina (nL) black, or Latina; diagnosed or treated with stage I-IV breast cancer between 2008-2016; and aged 18-64 years at diagnosis. The pre- and post-ACA periods of the expanded health care coverage provision were identified as 2008-2013 and 2014-2016, respectively. Descriptive statistics were calculated to compare patient demographic, insurance, health care use, and tumor characteristics between the pre- and post-ACA periods, overall and across racial/ethnic groups. Logistic regression models, with model-based standardization (predictive margins), were used to estimate proportion differences (PDs) with bias-corrected bootstrapped 95% confidence intervals. Results: A total of 174 nL black and 160 Latina patients were identified. Between pre- and post-ACA, the overall proportion of uninsured at the time of diagnosis decreased from 36.6% to 20.9% (p=0.00). The decrease in the uninsured population was statistically significant only for Latina women (p=0.00). There was a small shift in early-stage diagnoses. Post-ACA, the overall proportion of Stage I cancers increased from 26.8% to 31.8% (PD=5.0; p=0.33). However, this shift occurred among nL black women (PD=9.6%, p=0.18) but not among Latina women (PD=0.0, p=0.91). This pattern remained even after adjusting for age, insurance status, and history of outpatient preventative care use. Of note, compared with women diagnosed pre-ACA, those diagnosed post-ACA were less likely to have had a preventative care visit during the 24 months prior to diagnosis (26% versus 51%, p=0.00). Conclusion: Early results suggest that the ACA has increased access to insurance for underserved nL-black and Latina breast cancer patients. However, its impact on preventative care utilization and early cancer diagnosis is unclear. Post-ACA patients might be newly entering the health care system, due to having obtained insurance, and so may need assistance navigating to obtain preventative care, such as mammograms. Next steps include examining changes in screen-detected versus symptom-detected cancer, time to treatment, and conducting semistructured interviews to examine women's experiences with breast cancer care pre- and post-ACA. Citation Format: Abigail Silva, Arielle Guzman, Charlotte Picard, Yamile Molina, Alexandrina Balanean, Paramjeet Khosla. Did the Affordable Care Act improve insurance coverage and stage at diagnosis among nonelderly underserved breast cancer patients? [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr B076.
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- 2020
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5. Correlates of distress for cancer patients: Results from multi-institution use of holistic patient-reported screening tool
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Anne Bowman, Christine B. Weldon, Frank J. Penedo, Betty Roggenkamp, Catherine Deamant, Teresa A. Lillis, James I. Gerhart, Lawrence Eric Feldman, Carol Newsom, Rosa Berardi, Mary Pasquinelli, Julia R. Trosman, Paramjeet Khosla, Shelly S. Lo, Joanna Martin, and Harry Miranda
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medicine.medical_specialty ,Distress ,Cancer Research ,Oncology ,business.industry ,Family medicine ,medicine ,Cancer ,Distress screening ,Screening tool ,business ,medicine.disease - Abstract
199 Background: The Commission on Cancer (CoC) Standard 3.2 requires distress screening and indicated action for cancer patients. NCCN and ASCO supportive care and age-related guidelines include patient reported concerns beyond distress. This study compares PHQ4 scores to other patient reported concerns. Methods: The Coleman Supportive Oncology Collaborative aggregated “best of” screening tools to assess patient reported needs and concerns aligned with CoC, NCCN and ASCO guidance. This supportive care screening tool was implemented at 8 sites from July 2015 thru July 2018. Analysis used chi squared test. Results: Most patients, 86% (10,635/12,295), reported one plus concerns and/or above threshold scores on PHQ4, PROMIS Pain, Fatigue or Physical Function. A chi squared comparison of patients with at least mild distress on PHQ4 to patients with no distress resulted in p values < .0001 for every screening category. Conclusions: Patients with a PHQ4 distress score of mild, moderate or severe also reported statistically significant levels of practical, family, physical, nutrition and treatment concerns. These patients also scored threshold levels for PROMIS Pain, Fatigue, and Physical Function. Screening only for distress without screening for other patient concerns may direct patients to services that do not address or focus on the underlying cause of the distress. [Table: see text]
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- 2019
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6. Multi-institution quality improvement in supportive oncology: Results of the Coleman Supportive Oncology Collaborative (CSOC)
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Aidnag Z. Diaz, Shelly S. Lo, Julia R. Trosman, Anne Bowman, Sheetal Mehta Kircher, Paramjeet Khosla, Eileen Knightly, Mary Pasquinelli, Rosa Berardi, Betty Roggenkamp, Christine B. Weldon, Selina Lai-ming Chow, Urjeet A. Patel, Joanna Martin, and Teresa A. Lillis
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Oncology ,Cancer Research ,medicine.medical_specialty ,Quality management ,business.industry ,Internal medicine ,Medicine ,Cancer ,Institute of medicine ,business ,medicine.disease - Abstract
33 Background: The Institute of Medicine and Commission on Cancer recommend systematic delivery of supportive oncology care for cancer patients. The CSOC is focused on quality improvement (QI) of supportive care across Chicago cancer centers (Weldon ASCO ’17). Supportive oncology includes distress, practical, family, physical, nutrition, pain, fatigue and care concerns. To support QI, cross-institution teams developed unique, relevant tools, methods, care delivery processes, patient handouts and online training. Methods: Ten centers (5 academic, 1 VA, 1 public, 2 safety net, 1 community) implemented supportive oncology screening and care delivery quality improvements. Centers collected data for relevant Quality Oncology Practice Initiative (QOPI) metrics. Analyses used simple frequencies and Fishers exact test. Results: Five of six QOPI measures were improved at statistically significant levels from 2014 to 2017, p < .00001. Improvements are more modest in 2016 & 2017 as 4 of the centers started this QI in 2017. Conclusions: The CSOC achieved significant improvements in supportive oncology screening and identifying and addressing patients’ needs and concerns. Additional work is needed to improve these measures to achieve the best quality of cancer care possible for every patient based on their needs and concerns. [Table: see text]
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- 2019
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7. Incorporating geriatric patient-reported outcomes into novel screening tool of distress and supportive care concerns
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Christine B. Weldon, Joanna Martin, Amy Scheu, Paramjeet Khosla, Betty Roggenkamp, Rosa Berardi, Selina Lai-ming Chow, Julia Rachel Trosman, Mary Pasquinelli, Lawrence Eric Feldman, William Dale, Sean O'Mahony, James Gerhart, Patricia B. Mumby, Ana Gordon, Lauren Allison Wiebe, and Catherine Deamant
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Cancer Research ,Oncology - Abstract
198 Background: The Institute of Medicine (IOM) 2013 Report recommends that supportive oncology care start at cancer diagnosis; the Commission on Cancer (CoC) Standard 3.2 requires distress screening and indicated action. The Supportive Oncology Collaborative, collaborative of 100+ clinicians funded by The Coleman Foundation, developed a patient-centric screening tool (CSOC-ST) adapted from ASCO Distress, NCCN Distress Problem List, IOM report and CoC standards, and other validated sub-tools (Weldon, ASCO-Q 2017). The Collaborative revised the CSOC-ST tool to align with ASCO geriatric guidelines. Methods: Literature and guidelines review of geriatric screening, added items to CSOC-ST, and piloted at 4 sites. Descriptive statistics and Fisher’s exact test used. Results: 473 patients screened with added geriatric relevant items to CSOC-ST: self-care concerns (PROMIS Instrumental Support), living alone (ASCO Distress 2014), and memory / cognition (PROMIS item bank). Treatment/care concern items were revised to identify health care power of attorney and advance directive interest. Geriatric related items endorsed by patients, see Table. PHQ4, Anxiety and Depression, average score 2.4 (mild > 3). Higher scores on the PHQ-4 were significantly associated with each of the following: self-care concerns, memory/cognition concerns and specific treatment/care concerns (p < .0001). Conclusions: Pilot results and comparison to ASCO geriatric guidelines identified important items to support geriatric patient reported outcomes screening. After pilot, added 3 items for falls/frailty. Eight sites implementing this CSOC-ST.[Table: see text]
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- 2018
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8. Utilization of a web-based survivorship and supportive oncology training curriculum for clinicians
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Shelly S. Lo, Megan Slocum, James I. Gerhart, Patricia A. Robinson, Carol A. Rosenberg, Christine B. Weldon, Sofia F. Garcia, Rosa Berardi, Anne Bowman, Teresa A. Lillis, Betty Roggenkamp, Mary Pasquinelli, Paramjeet Khosla, Eileen Knightly, Joanna Martin, Julia R. Trosman, and Frank J. Penedo
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Training curriculum ,Oncology ,Cancer Research ,medicine.medical_specialty ,Health professionals ,business.industry ,education ,Foundation (evidence) ,Patient care ,Survivorship curve ,Internal medicine ,Workforce ,medicine ,Web application ,business - Abstract
19 Background: A challenge in supportive oncology, integral to patient care, is training the health professional workforce. A collaborative funded by The Coleman Foundation of 30+ clinicians (faculty) from 25 institutions (academic, community & safety net) developed a unique fundamental survivorship care (Weldon JCO 2017) and supportive oncology training curriculum (Trosman JNCCN 2017). Methods: Using data from The National Comprehensive Cancer Network Continuing Education team, we analyzed utilization of survivorship and supportive oncology education courses using simple frequencies. Results: Over 3200 courses were completed (pretest, course, post-test, evaluation) and 4850 accessed. Nurses completed 56%, physicians 15%, social workers/psychologists/support staff 14%, advance practice clinicians 8%, and various roles for the rest. Courses in table. Conclusions: NCCN’s education portal achieved strong utilization from a variety of healthcare professionals in these courses. The Coleman Supportive Oncology Collaborative supports improvement in supportive care with tools, processes and training and will continue to update/offer courses through this portal.[Table: see text]
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- 2018
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9. Raising all boats in supportive oncology: Initial impact of the Coleman Supportive Oncology Collaborative (CSOC)
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Patricia A. Robinson, Shelly S. Lo, William Dale, Frank J. Penedo, Teresa A. Lillis, Urjeet A. Patel, Julia R. Trosman, Desiree R Azizoddin, Rosa Berardi, Christine B. Weldon, Paramjeet Khosla, Eileen Knightly, Joanna Martin, Aidnag Z. Diaz, James I. Gerhart, and Carol Newsom
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Oncology ,Cancer Research ,medicine.medical_specialty ,business.industry ,Survivorship curve ,Internal medicine ,medicine ,Cancer ,Institute of medicine ,business ,medicine.disease - Abstract
150 Background: The Institute of Medicine (IOM) and Commission on Cancer (CoC) recommend systematic delivery of supportive oncology and survivorship care to all cancer patients. CSOC aims to improve the quality of supportive care across Chicago-area providers. Methods: 35 CSOC participating institutions (cancer centers, support centers, hospice) formed care delivery design teams - Distress, Survivorship and Palliative. Teams collaboratively developed solutions to supportive oncology gaps: patient screening tools, care delivery processes, provider training, and quality metrics to assess supportive oncology quality and the CSOC impact. Six implementation centers (2 safety-net, 3 academic & 1 public) reviewed charts at baseline (2014 diagnoses) and after the initial implementation period (2015 diagnoses), compared by frequencies and Fisher’s exact test. Results: Eight metrics contained patient data at 2 time points; improvements were seen in 7/8 metrics. (See Table). Conclusions: CSOC developed supportive oncology screening, and care processes aligned with IOM and CoC standards. Significant improvements were shown after implementation across diverse settings. Ongoing work will further evaluate the impact of CSOC efforts on patient care. [Table: see text]
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- 2017
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10. Raising all boats in supportive oncology: Initial impact of the Coleman Supportive Oncology Collaborative (CSOC)
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Christine B. Weldon, James Gerhart, William Dale, Urjeet Patel, Paramjeet Khosla, Shelly S. Lo, Carol Newsom, Patricia A. Robinson, Eileen Knightly, Rosa Berardi, Aidnag Diaz, Frank J. Penedo, and Julia Rachel Trosman
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Cancer Research ,Oncology - Abstract
e18205 Background: The Institute of Medicine (IOM) and Commission on Cancer (CoC) recommend systematic delivery of supportive oncology and survivorship care to all cancer patients. CSOC aims to improve the quality of supportive care across Chicago-area providers. Methods: 35 CSOC participating institutions (cancer centers, support centers, hospice) formed care delivery design teams Distress, Survivorship & Palliative. Teams collaboratively developed solutions to supportive oncology gaps: patient screening tools, care delivery processes, provider training, and quality metrics to assess supportive oncology quality and the CSOC impact. Six implementation centers (2 safety-net, 3 academic & 1 public) reviewed charts at baseline (2014 diagnoses) and after the initial implementation period (2015 diagnoses), compared by frequencies and Fisher’s exact test. Results: Eight metrics contained patient data at 2 time points; improvements were seen in 7/8 metrics. Conclusions: CSOC developed supportive oncology screening, and care processes aligned with IOM and CoC standards. Significant improvements were shown after implementation across diverse settings. Ongoing work will further evaluate the impact of CSOC efforts on patient care. [Table: see text]
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- 2017
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11. Results of implementing a novel supportive oncology screening tool for comprehensive evaluation of distress and other supportive care needs
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Sofia F. Garcia, Betty Roggenkamp, Rosa Berardi, Erika K. Radeke, Mary Pasquinelli, Joanna Martin, Christine B. Weldon, Harry Miranda, Paramjeet Khosla, Patricia A. Robinson, Aidnag Z. Diaz, Urjeet A. Patel, Julia R. Trosman, James I. Gerhart, Shelly S. Lo, Teresa A. Lillis, Sheetal Mehta Kircher, Frank J. Penedo, and Lawrence Eric Feldman
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Oncology ,medicine.medical_specialty ,Cancer Research ,Descriptive statistics ,business.industry ,Problem list ,Institute of medicine ,Physical function ,03 medical and health sciences ,Distress ,0302 clinical medicine ,Nursing ,030220 oncology & carcinogenesis ,Internal medicine ,Family medicine ,medicine ,Anxiety ,Screening tool ,Distress screening ,030212 general & internal medicine ,medicine.symptom ,business - Abstract
61 Background: The Institute of Medicine (IOM) 2013 Report recommends that supportive oncology care start at cancer diagnosis; the Commission on Cancer (CoC) Standard 3.2 requires distress screening and indicated action. Screening tools are not standardized and often address only a portion of patients’ supportive oncology needs. Methods: A collaborative of 100+ clinicians, funded by The Coleman Foundation, developed a patient-centric screening tool adapted from NCCN Distress Problem List, IOM report and CoC standards, with validated sub-tools: PHQ-4 for anxiety and depression and PROMIS short forms for pain, fatigue and physical function. Novel treatment/care and other concerns were included. The screening tool was implemented at 4 cancer centers (2 academic, 1 public & 1 safety-net). End points included correlation of PHQ-4 score with other supportive oncology needs. Descriptive statistics, Fisher’s exact test were used. Results: 2805 patients were screened. Average scores were: PHQ4 – Anxiety and Depression 1.8 (mild > 3), Pain 4.5 (mild > 4), Fatigue 8.8 (mild > 6), Physical Function 20.2 (mild < 20), see table for additional items. Higher scores on the PHQ-4 were significantly associated with each of the following: greater pain, fatigue, , nutritional and specific treatment/care concerns, and lower physical function (p
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- 2017
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12. A consolidated screening tool for supportive oncology needs and distress
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Christine B. Weldon, James I. Gerhart, Catherine Deamant, Julia R. Trosman, Ana Gordon, Rosa Berardi, Amy Scheu, Patricia A. Robinson, Betty Roggenkamp, Frank J. Penedo, William Dale, Paramjeet Khosla, Lauren Allison Wiebe, Shelly S. Lo, Eileen Knightly, Teresa A. Lillis, Urjeet A. Patel, and Nancy Vance
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Oncology ,Cancer Research ,medicine.medical_specialty ,Descriptive statistics ,Referral ,Social work ,business.industry ,03 medical and health sciences ,Distress ,0302 clinical medicine ,Nursing ,030220 oncology & carcinogenesis ,Family medicine ,Internal medicine ,Medicine ,Screening tool ,Distress screening ,030212 general & internal medicine ,business - Abstract
47 Background: The IOM 2013 Report recommends that supportive oncology care start at cancer diagnosis; the Commission on Cancer (CoC) Standard 3.2 requires distress screening and indicated action. Screening tools are not standardized across institutions and often address only a portion of patients’ supportive oncology needs. Methods: A collaborative of 100+ clinicians, funded by The Coleman Foundation, developed a patient-centric consolidated screening tool based on validated instruments (NCCN Distress, PHQ-4, PROMIS) and IOM and CoC. The screening tool was piloted at 6 practice-improvement cancer centers in the Chicago area (3 academic, 2 safety-net, 1 public). Patients, providers assessing patients’ screening results (assessors), and providers receiving referrals (providers) were surveyed after use of the screening tool. Descriptive statistics were used to assess effectiveness of the tool. Results: Responders included 175 patients, 81 assessors, and 26 referral providers (social workers, chaplains, subspecialists). The majority of patients (160/175, 91%) completed the screening in
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- 2017
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13. Piloting breast cancer survivorship care planning in a safety net hospital
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Paramjeet Khosla, Elizabeth A. Hahn, Sofia F. Garcia, Katy Wortman, Yanina Guevara, Shakuntala Shrestha, and Maria E. Corona
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Cancer Research ,medicine.medical_specialty ,Breast cancer ,Oncology ,business.industry ,Safety net ,Survivorship curve ,Family medicine ,medicine ,medicine.disease ,business ,Patient care ,Cancer treatment - Abstract
65 Background: Survivorship care plans (SCPs) include treatment summaries and follow-up care recommendations intended to improve patient care and well-being after cancer treatment. Limited research has yielded mixed results regarding SCPs' impact on patient and system outcomes, but emphasized provider burden as an implementation barrier. We created a patient-centered SCP template and implemented its delivery at a safety net hospital that serves primarily racial/ethnic minority patients. Methods: In a single-arm feasibility study, oncologists and advanced practice nurses used the template to deliver SCPs to post-treatment breast cancer survivors (BCS) in consultation visits. We assessed changes in patient-reported outcomes from baseline (pre-SCP) to a 3-month follow-up, as well as provider time burden. Results: Female BCS participants (n = 75; mean age = 58.5 years) were primarily African-American (73%) and had high school/GED education or less (61%). Average time since diagnosis was 3.7 years (SD = 3.8); all received surgery; most received radiation (84%), hormone (77%), and/or chemotherapy treatment (73%). At follow-up, a majority rated their SCPs as good to excellent (92%), easy or very easy to understand (84%), a good to excellent summary of their treatment (92%) and as motivation for healthy lifestyles (88%). BCS follow-up scores improved significantly from baseline on breast cancer knowledge (p = .02), self-efficacy (p = .03), the QLQ-INFO25 (p < .01), and the FACIT TS-PS satisfaction with health care staff communication subscale (p < .01). No significant differences between baseline and follow-up scores (p < .05) were found for overall treatment satisfaction, health behaviors, and health-related quality of life. Preparing and delivering SCPs took providers considerable time (M = 54 & 22 minutes, respectively). Conclusions: This pilot study is limited by a single-arm design, but results suggest that SCPs may be related to improved survivor knowledge, information, self-efficacy and communication with health care staff. The individualized, comprehensive SCPs were well received by BCS in a safety net hospital but delivery was time-intensive. These findings will inform future research trials and clinical care initiatives.
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- 2017
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14. A consolidated screening tool for supportive oncology needs and distress
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Christine B. Weldon, Rosa Berardi, Frank J. Penedo, Jennifer Carrie Obel, Catherine Deamant, James Gerhart, Urjeet Patel, William Dale, Paramjeet Khosla, Colleen Savory, Oana Cristina Danciu, Patricia A. Robinson, Joanna Martin, and Julia Rachel Trosman
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Cancer Research ,Oncology - Published
- 2016
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15. How well are cancer centers addressing supportive oncology needs?
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Paramjeet Khosla, Catherine Deamant, Julia R. Trosman, Oana Cristina Danciu, Jennifer Obel, Rosa Berardi, Patricia A. Robinson, Urjeet A. Patel, William Dale, James I. Gerhart, Colleen Savory, and Christine B. Weldon
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Oncology ,Cancer Research ,medicine.medical_specialty ,Palliative care ,Refractory Hematologic Malignancy ,business.industry ,Medical record ,Cancer ,medicine.disease ,Power of attorney ,Family medicine ,Internal medicine ,Survivorship curve ,Health care ,medicine ,Stage (cooking) ,Intensive care medicine ,business - Abstract
96 Background: The IOM 2013 report recommends comprehensive supportive oncology care from diagnosis through survivorship to end of life. The Coleman Foundation supported a baseline assessment of supportive oncology care using key COC, ASCO-QOPI and NQF measures. Methods: Data extracted from medical records at 6 Chicago cancer centers in 2014 (n = 843 patients), including stage I-III (n = 391) and stage IV solid tumor or refractory hematologic malignancy (n = 452). Results: Fifty-four percent of patients had discussions on understanding of illness, 24% were informed of prognosis timeframe, and 5% had a documented healthcare power of attorney. Only 6% of stage IV patients received distress screening within 2 weeks of diagnosis and 15% of Stage IV patients had referrals to palliative care. Among patients with Stage I-III cancer, 38% had a supportive oncology screening, and 2% received treatment summaries and a SCPs. Conclusions: There are still large gaps in important supportive care processes based on IOM 2013 recommendations, COC, and ASCO QOPI measures. Future steps include implementing supportive care processes that address gaps across the 6 cancer centers. [Table: see text]
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- 2016
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