Laura L. Tenner
University of Texas Health Science Center at San Antonio
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Publication
Featured researches published by Laura L. Tenner.
Cancer | 2016
Helen M. Parsons; Susanne Schmidt; Laura L. Tenner; Heejung Bang; Theresa H.M. Keegan
The Patient Protection and Affordable Care Act (ACA) included provisions to extend dependent health care coverage up to the age of 26 years in 2010. The authors examined the early impact of the ACA (before the implementation of insurance exchanges in 2014) on insurance rates in young adults with cancer, a historically underinsured group.
Journal of Oncology Practice | 2013
Laura L. Tenner; Paul R. Helft
The aim of this annotated bibliography about important articles in the field of ethics and oncology is to provide the practicing hematologist/oncologist with a brief overview of some of the important literature in this crucial area.
Frontiers in Oncology | 2018
Sherri Rauenzahn Cervantez; Laura L. Tenner; Susanne Schmidt; Ifeoma O. Aduba; Jessica Trevino Jones; Nazneen Ali; Savitri Singh-Carlson
Background: The American Society of Clinical Oncologys recommendation for “dedicated palliative care services, early in the disease course, concurrent with active treatment” for cancer patients is a challenge for cancer centers to accommodate. Despite demonstrated benefits of concurrent care, disparities among socioeconomic and ethnic groups in access to supportive care services have been described. The aim of this project was to evaluate: (a) how insurance coverage and ethnicity impact patient symptom burden and, (b) how those factors influence palliative access for patients at a South Texas NCI-designated cancer center. Methods: During a 5-month prospective period, 604 patients from five ambulatory oncology clinics completed the 10 question Edmonton Symptom Assessment Scale (ESAS) surveys during their clinic visit. Patient demographics, ESAS scores, palliative referral decisions, and time to palliative encounters were collected. We compared symptom burden and time to consult based on ethnicity and insurance status (insured = Group A; under-insured and safety net = Group B). Results: The mean ESAS score for all patients at the initial visit was 19.9 (SD = 18.1). Safety net patients were significantly more likely to be Hispanic, younger in age, and have an underlying GI malignancy in comparison to insured patients; however, the symptom severity was similar between groups with over 40% of individuals reporting at least one severe symptom. Twenty-one referrals were made to palliative care. On average, Group B had 33.3 days longer wait times until their first potential visit (p < 0.01) when compared to Group A. Time to actual visit was on average 57.6 days longer for patients in Group B compared to patients in Group A (p = 0.01), averaging at 73.8 days for safety net patients. Conclusions: This project highlights the high symptom burden of oncology patients and disparities in access to services based on insurance coverage. This investigation revealed a 4-fold increase in the time to the first scheduled palliative care visit based on whether patients were insured vs. under-insured. While this study is limited by a small sample size, data suggest that under-insured oncology patients may have significant barriers to palliative care services, which may influence their cancer care quality.
Journal of Oncology Practice | 2017
Sherri Rauenzahn; Susanne Schmidt; Ifeoma O. Aduba; Jessica Trevino Jones; Nazneen Ali; Laura L. Tenner
PURPOSE Research in palliative care demonstrates improvements in overall survival, quality of life, symptom management, and reductions in the cost of care. Despite the American Society of Clinical Oncology recommendation for early concurrent palliative care in patients with advanced cancer and high symptom burden, integrating palliative services is challenging. Our aims were to quantitatively describe the palliative referral rates and symptom burden in a South Texas cancer center and establish a palliative referral system by implementing the Edmonton Symptom Assessment Scale (ESAS). METHODS As part of our Plan-Do-Study-Act process, all staff received an educational overview of the ESAS tool and consultation ordering process. The ESAS form was then implemented across five ambulatory oncology clinics to assess symptom burden and changes therein longitudinally. Referral rates and symptom assessment scores were tracked as metrics for quality improvement. RESULTS On average, one patient per month was referred before implementation of the intervention compared with 10 patients per month after implementation across all clinics. In five sample clinics, 607 patients completed the initial assessment, and 430 follow-up forms were collected over 5 months, resulting in a total of 1,037 scores collected in REDCap. The mean ESAS score for initial patient visits was 20.0 (standard deviation, 18.1), and referred patients had an initial mean score of 39.0 (standard deviation, 19.0). CONCLUSION This project highlights the low palliative care consultation rate, high symptom burden of oncology patients, and underuse of services by oncologists despite improvements with the introduction of a symptom assessment form and referral system.
Journal of cancer policy | 2016
Helen M. Parsons; Susanne Schmidt; Laura L. Tenner; Amy J. Davidoff
Background The Medicare Modernization Act (MMA) reduced reimbursement for many antineoplastics delivered in outpatient settings, altering practice patterns for some cancers. To further evaluate the MMAs effect, we focus on colon cancer, where longstanding fluorouracil-based regimens were augmented in 2004 with 3 newly-approved drugs (oxaliplatin, bevacizumab, and/or cetuximab). Staggered implementation of MMA reimbursement changes (physician offices implemented reimbursement changes in 2005 vs hospital outpatient departments(OPD) in 2006) provide a natural experiment to examine policy effects. Methods Using the 2000-2009 SEER-Medicare data, we examined antineoplastic use among 59,642 stage II-IV colon cancer patients. Using multivariate logistic regression models, we conducted difference-in-differences analyses to examine an interaction between time (pre-post MMA) and setting (physician offices versus OPDs) on antineoplastic receipt, adjusting for patient and cancer characteristics. A significant interaction indicates different practice patterns in physician offices versus OPD during the staggered implementation. Results After the reimbursement change in 2007-09 relative to 2000-03, use of fluorouracil-based therapy decreased slightly (Marginal Probability(MP): -0.07 stage II; -0.05 stage III; -0.05 stage IV; p< 0.01), while use of new drugs increased substantially (MP: 0.48 stage II; 0.69 stage III, 0.79 stage IV; p< 0.01). The interaction between MMA implementation and physician office setting was significant when examining use of new agents for Stage IV disease only. Conclusions Our results indicate that providers responded to reimbursement changes after the MMA by increasing use of newly approved agents, but the magnitude of the response was small and limited to individuals diagnosed with Stage IV disease.
Journal of Clinical Oncology | 2016
Sherri Rauenzahn; Susanne Schmidt; Jessica Trevino Jones; Ifeoma O. Aduba; Laura L. Tenner
168 Background: Research inpalliative care has shown improvements in overall survival, quality of life, symptom management, care satisfaction and reductions in the cost of care. Therefore, the American Society of Clinical Oncology has recommended early concurrent palliative care in patients with advanced cancer and with high symptom burden. Despite this recommendation, integrating palliative services at our NCI-designated cancer center has been challenging. The aims of this project were to quantitatively describe the symptom burden of patients in ambulatory oncology clinics; facilitate the establishment of an effective referral system by detecting discrepancies between symptom burden and referral practices; and improve the integration of palliative care services by implementing the Edmonton Symptom Assessment System (ESAS) tool into 5 of our oncology clinics. METHODS ESAS forms consist of 10 questions assessing patient symptom burden and quality of life. Total scores range from 0 to 100. This tool was distributed to patients at two breast, two gastrointestinal and the thoracic clinics at each visit. The provider reviewed the forms and decided if a palliative care referral was appropriate based on patient responses. The forms as well as referral decisions were entered into REDCap. Over a 5 month period, 607 patients completed the initial assessment and 430 follow up forms were collected, resulting in a total of 1,037 scores collected. RESULTS The mean ESAS score for all patient visits was 20.7 (SD = 18.7). Only 3.5% (n = 21) of all patients were initially referred to palliative care and 2.6% (n = 11) of patients were referred on follow up visits. Those with an initial referral had an initial mean score of 39.0 (SD = 19.0) and a mean follow up score of 31.9 (SD = 19.5). CONCLUSIONS This project highlights the low palliative care consultation rate and the under-utilization of services by most oncologists at the cancer center despite using the ESAS tool. However, those who received a referral had lower ESAS scores at follow-up. We propose utilizing a trigger that would capture a preset percentage of patients who indicated scores reflective of high symptom burden and distress.
Journal of Clinical Oncology | 2016
Sherri Rauenzahn; Susanne Schmidt; Ifeoma O. Aduba; Jessica Trevino Jones; Laura L. Tenner
130 Background: Palliative medicine is dedicated to improving quality of life for patients throughout their disease course. The integration of palliative medicine in oncology practice has increased due to growing evidence of benefits for patient. While the collaboration of palliative and oncology care is beneficial, access to palliative services remains an issue for cancer patients. The aim of this project is to evaluate how insurance status impacts palliative care access for cancer patients in South Texas. METHODS During a 5-month study period, 607 patients from medical oncology clinics were evaluated based on their Edmonton Symptom Assessment System (ESAS) scores collected during their clinic visit to determine symptom burden and palliative care need. If providers saw a need, palliative care referrals were made. 27 unique patients received a total of 32 referrals over the study period. We examine time to initial palliative care appointment after the first referral was made. We compare time to consult based on where patients were able to receive palliative services. Location of care was based on type of insurance coverage. RESULTS During our study period, 13 patients were eligible to receive care through the University of Texas (UT) Medicine System (Group A) and 14 patients qualified for care at University System, which provides services to under-insured and safety net patients (Group B). Of the 27 referred patients, 85% made efforts to seek palliative care (n = 23), of which 78% had a palliative care visit (n = 18). On average, patients seeking care at the safety net facility (Group B) had 29.8 days longer wait times until their first potential visit (p < 0.01) compared to patients eligible for UT Medicine (Group A). Time to actual visit was on average 39.2 days longer for patients in Group B compared to patients in Group A (p = 0.02), averaging at 55.7 days for patients seeking care at the safety net facility. CONCLUSIONS This investigation revealed a 4-fold increase in time to scheduled visit depending on insurance coverage. While this study is limited by a small sample, data suggests that under-insured oncology patients may have significantly different access to palliative care services which may impact the quality of cancer care.
The virtual mentor | 2013
Laura L. Tenner; Paul R. Helft
A patients request or demand for treatment does not obligate a physician to provide the treatment if the physician thinks it will cause more harm than good.
Journal of Clinical Oncology | 2009
Laura L. Tenner; Lawrence H. Einhorn
Journal of Clinical Oncology | 2017
Sherri Rauenzahn; Susanne Schmidt; Nazneen Ali; Laura L. Tenner
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University of Texas Health Science Center at San Antonio
View shared research outputsUniversity of Texas Health Science Center at San Antonio
View shared research outputsUniversity of Texas Health Science Center at San Antonio
View shared research outputsUniversity of Texas Health Science Center at San Antonio
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