Outpatient Oncology Practice Research Articles

Bridging the gap: Leveraging telemedicine and IT infrastructure to connect outpatient oncology practices with specialized expert teams in the management of rare tumors.

The treatment of rare tumors often necessitates the involvement of highly specialized teams, typically based in larger medical centers or university hospitals, which are often lacking in rural areas. The German TARGET (the Trans-sectoral Personalized Care Concept for Patients with Rare Cancers) project aims to improve the network between outpatient oncology practices and more centralized expert teams via telemedicine. The primary work involved conceptualizing the implementation of project requirements based on feedback from various TARGET project teams, and ultimately, the method of implementation using the software CentraXX. Key requirements included the utilization of an electronic health record (EHR), incorporating appropriate access mediums such as smartphones, and utilizing user-specific certificates to ensure secure and tailored access. The implementation considered technical aspects, data protection regulations, and the need for user-friendly interfaces, particularly for older patients with cancer with limited technological proficiency. The results detail the successful implementation of the project requirements using CentraXX, which facilitated the implementation of an EHR, access mediums (patient app), and browser access for outpatient doctors, addressing the project's technical, security, and usability needs. This article presents an overview of the requirements associated with the TARGET project and outlines how they were met in terms of the IT infrastructure. By focusing on the IT implementation rather than the medical trial results, this work aims to provide valuable insights and guidance for similar projects seeking to improve telemedicine networks and digital information exchange in the context of rare cancer treatment.

Trend in breakdown of total cost of care for medical oncology over time: Learnings from the Oncology Care Model and implications for future oncology value-based care.

69 Background: Tennessee Oncology (TO) is a large, outpatient community oncology practice with over 200 providers and 35 clinical sites of care across Tennessee and northern Georgia. As an Oncology Care Model (OCM) participant, TO received claims data from Medicare during its OCM participation from 2016-2021. TO adopted continuous quality improvement initiatives to succeed in the program. Here we highlight our adoption of biosimilars and implementation of an independent clinical pathway program. Methods: OCM claims data received from Medicare were analyzed to determine total cost of care (TCOC) per the OCM methodology. TCOC subgroup analysis was conducted by percentage of spend over time on therapeutic and supportive care drugs, emergency room utilization, and hospitalizations. Biosimilar adoption and pathway utilization rates were tracked internally. Results: 27,927 OCM episodes were attributed to TO during the study period 2016-2021. During this time frame and as a percentage of TCOC, total drug spending increased from 58% to 71%. Conversely, spending on hospital and emergency room utilization as a percentage of TCOC decreased from 11.6% to 7.9% and 1.4% to 1.0%, respectively. Within drug spending, the ratio of supportive to therapeutic drug costs decreased from 29.5% to 7.5%. Despite increased spend on therapeutic drugs towards the end of the model, pathway adherence was over 90%, and trastuzumab and bevacizumab biosimilar adoption rates were over 86% and 97%, respectively. Conclusions: Relative contributions to TCOC changed over time during OCM. The percentage of costs associated with pharmaceuticals increased, while costs associated with hospitalizations and emergency room utilization decreased. Within costs for pharmaceuticals, there was a significant increase in the percentage of costs for therapeutics versus supportive care drugs. High rates of biosimilar conversion and pathway adherence suggest increased drug spend reflects a change in oncology practice, not an effect of inappropriate utilization. These trends have implications for future developments of oncology value-based care programs.

Clinical and economic impact of oncology-trained pharmacist integration in an ambulatory cancer clinic.

Outpatient oncology practice is a growing area of opportunity for pharmacists to provide clinical services and evidence-based care. This single-center, retrospective chart review analyzed the clinical and economic benefits of a board-certified oncology pharmacist after integration into the ambulatory oncology clinic setting. Primary outcomes were total cost avoidance for pharmacist interventions and impact on Centers for Medicare and Medicaid Services (CMS) OP-35 measures. Pharmacist interventions were characterized into distinct types which were then assigned a cost avoidance value. Cost avoidance was calculated per hour and then extrapolated to a yearly estimate based on a 40-h work week for one year for one full-time equivalent pharmacist. Data collection for the primary clinical outcome was performed by compiling provider-specific emergency department (ED) and inpatient admission rates for diagnoses specified in CMS OP-35 measures within 30 days after receiving outpatient chemotherapy. The rates for the data collection period were compared to the rates six months prior to pharmacist integration to assess pharmacist impact. In six months, 516 total interventions were made by the oncology pharmacist. The incidence of ED visits was 3.34% and 1.72% during the pre- and post-pharmacist intervention periods, respectively. The incidence of inpatient admissions was 2.43% and 0.34% pre- and post-pharmacist intervention, respectively. Total cost avoidance was estimated to be US$375,795 and when accounted for the median pharmacist salary at our institution, total cost savings was US$204,437. The presence of an oncology pharmacist specialist in the ambulatory cancer clinic provided clinical and economic benefits to the cancer clinic.

Real-world analysis of cardiac, gastrointestinal, and hematologic toxicities between commonly used antiemetics in everyday oncology clinical practice.

6587 Background: Antiemetics are highly effective in chemotherapy-induced nausea and vomiting. We utilized Food and Drug Administration Adverse Event Reporting System (FAERS) database to evaluate adverse events (AEs) caused by selected antiemetics commonly used in outpatient oncology practice. Methods: We analyzed the FAERS database to assess the cardiac, gastrointestinal (GI), and hematologic AEs for metoclopramide, olanzapine, ondansetron, and promethazine from 2013 through 2022. The disproportionality signal was analyzed by calculating Reporting Odds Ratio (ROR) with a 95% confidence interval (CI)—considered significant when the lower limit of 95% CI was > 1. Results: A total of 20,302 AEs were identified, out of which 8,135 (40.1%) were cardiac—arrhythmia and QTc prolongation; 8,656 (42.5%) were GI—nausea/vomiting, constipation/diarrhea, abdominal pain/discomfort, and dyspepsia; and 3,511 (17.3%) were hematologic—leukopenia, thrombocytopenia, anemia, and pancytopenia. Compared to other antiemetics, promethazine and olanzapine had higher cardiac and hematologic AEs, respectively, whereas metoclopramide, followed by ondansetron had higher GI AEs (Table). Conclusions: Antiemetics are readily available and effective, yet the preference for a particular drug or drug combination varies. Our study highlights selected antiemetics AEs in order to help individualize treatment for this often challenging and frequently encountered entity. [Table: see text]

Impact of Mandated Online Prescription Drug Monitoring Programs on Opiate Analgesic Use and Patient-Reported Pain during Radiotherapy for Oropharyngeal Cancer

<h3>Purpose/Objective(s)</h3> Owing to the dramatic rise in opiate-related deaths, the use of online prescription drug monitoring programs (PDMPs) concurrent with new laws restricting opiate administration has become commonplace across the U.S. Some oncologists, however, have expressed concerns that they may unintentionally limit treatment access to at-risk oncology populations. As opiates are frequently used in the acute management strategies for those undergoing radiotherapy for squamous cell carcinoma of the oropharynx, we sought to evaluate changes in short-term opiate prescription use following the implementation of mandated use of an online PDMP in an outpatient radiation oncology practice. <h3>Materials/Methods</h3> Between July of 2017 and December of 2019, 64 patients with biopsy-confirmed oropharyngeal squamous cell carcinoma undergoing curative-intent radiotherapy were evaluated and divided into two cohorts: (1) 26 patients treated 1 year before and (2) 38 patients treated 1.5 years following mandated PDMP use and implementation of new opiate prescription laws. The primary endpoint was opiate prescriptions during therapy and within 3 months after therapy as well as patient-reported pain per the Defense and Veterans Pain Rating Scale. Opiate doses were treated as the response in a series of chi-square tests using a three-level format: no vs. 40 to 3000 vs. 3000+ MME. Cochran-Mantel-Haenszel chi-square analysis with the row mean score test statistic assessed any proportional shifts in dose rates between strata of selected prognostic factors. <h3>Results</h3> The median total opiate doses were 975 MME and 1025 MME in the pre- and postintervention groups with no significant differences in MMEs prescribed (p=0.8441). There was also no difference in patient-reported uncontrolled pain (p=0.38) between the treatment cohorts. Univariate analysis showed tonsillar/soft-palate subsite (p<0.01) and alcohol use (p=0.04) were associated with higher rates of prescribed opioids. While 75% of patients (n=48) received opiates during their acute care, 78% (n=50) were off all prescription narcotics by 3 months or sooner following treatment. <h3>Conclusion</h3> Although potential concerns that mandated PDMP use would affect opiate utilization, there was no associated change in total opiate use by MME for the management of acute pain during radiotherapy for patients with oropharyngeal squamous cell carcinoma nor differences in patient-reported uncontrolled pain. Furthermore, despite high utilization of opiates during radiotherapy, few patients continued use past 3 months after treatment.

Oncology Drug Effectiveness from Electronic Health Record Data Calibrated Against RCT Evidence: The PARSIFAL Trial Emulation.

BackgroundThe use of electronic health records (EHR) data to assess drug effectiveness in clinical oncology practice is of great interest to regulators, clinicians, and payers. However, the utility of EHR data in clinical effectiveness studies may be limited by missing data, unmeasured confounding, and imperfect outcome surveillance. This study sought to emulate and compare the results of a randomized controlled trial investigating the efficacy of palbociclib with fulvestrant vs letrozole in advanced breast cancer.MethodsThis was a cohort study using longitudinal EHR data derived from outpatient oncology practices in the United States. Eligibility criteria from the PARSIFAL trial were emulated as closely as possible. Patients were included if they had hormone-positive, human epidermal growth factor receptor – 2 (HER-2) negative metastatic breast cancer and had no record of prior treatment for metastatic disease. Patients initiating first-line treatment with palbociclib and fulvestrant following their first record of metastasis were compared to those initiating palbociclib and letrozole on the same day. Treatments were ascertained by oncology medication ordering records in the data source. The primary outcome was death as recorded in the oncologists’ EHR systems.ResultsThere were 1886 eligible women in the study cohort. Although the 3-year survival was meaningfully lower in clinical practice (59%) compared to the randomized trial (78%), the relative effect size was a hazard ratio (HR) of 1.07 (95% CI: 0.86–1.35), similar to the randomized trial (HR = 1.00; 95% CI: 0.68–1.48).ConclusionDespite common challenges encountered in EHR-based studies, it is possible to achieve similar conclusions to emulated randomized trials with the application of analytic approaches that address missing data, confounding, and selection bias. This is a promising finding in light of other emulations and ongoing efforts to improve data from clinical practice and causal analytics.

Differences in the utilization of palliative care support services among patients with metastatic solid tumor cancer in a community oncology setting: A retrospective review.

82 Background: Palliative care has been underutilized in the setting of advanced cancer despite its established benefit in improving the quality of life in cancer patients. Few studies have evaluated socioeconomic disparities in receiving palliative care in the outpatient oncology setting. We aimed to evaluate for disparities in utilization of palliative care among patients with metastatic solid tumor malignancies at Tennessee Oncology, a large outpatient community oncology practice with an established palliative care program. Methods: We completed a retrospective review of medical records of 1513 patients that were seen in Tennessee Oncology clinics from 12/2020 to 12/2021. We compared the baseline characteristics of patients with metastatic solid tumor malignancies who did and did not receive palliative care. Chi-square and two-sample t-tests were used for data analysis with the 5% significance level using R statistical software. Results: Male patients utilized palliative care less often than female patients (17% versus 24% for females, p =.0002; 95% CI,.05-1.0). Of payer types, Medicare had the least palliative care utilization (14%) compared to commercial (25%) and other payers (23%). Utilization also varied by cancer type, with melanoma (9%), lung cancer (15%) and renal cancer (21%) being least likely to receive palliative care (p &lt;.00005; 95% CI,.19-1.0). We did examine racial differences in palliative care utilization, but those did not reach statistical significance. Conclusions: There are multiple disparities in the utilization of on-site palliative care support services among patients with metastatic solid tumor cancer in this outpatient community oncology setting. Further research is needed to gain insight into why this is, including an in-depth analysis of both patient and provider utilization/referral practices.[Table: see text]

Nurse-Initiated Constipation Education (NICE) protocol: Improved health outcomes in the outpatient oncology setting.

237 Background: Many patients living with cancer experience pain requiring opioid therapy, and appreciation of the risks and benefits of opioids has grown in recent years. Opioid induced constipation (OIC) is one of the potential sequelae of opioid therapy. Evidence-based management strategies for OIC utilize lifestyle modifications and over-the-counter medications as initial steps. At a community cancer center, nurses are often the first team members identifying patients with OIC and suggesting management strategies. Thus, providing updated education and tools to nurses is an appropriate means for improving constipation management for patients living with cancer. Methods: Participants in the intervention included RNs and LPNs working in a specific region of the outpatient oncology practice. An evidence-based teaching tool was developed that included five handouts and a 20-minute pre-recorded educational presentation. Changes in nurse knowledge and confidence level were measured using a pretest/post-test design, and constipation related incidents were measured across a 2 month pre- and post-intervention period through review of the triage call tracking system. Data collection also included OIC incidents during the same timeframe. Results: 14 nurse participants completed a pre- and post-test after watching the presentation. Nursing constipation management knowledge scores increased by almost 30% and confidence ratings increased by 16.2%, indicating both an improved knowledge base and comfort level. Constipation-related incidents decreased by 39% post-implementation. Conclusions: Arming nurses with constipation management tools based on current evidence-based practices resulted in improved knowledge and comfort levels and led to decreased patient-reported incidents of constipation and OIC. Utilizing quality evidence-based tools and resources can help to prevent future negative health outcomes.

Racial differences in patient-reported distress among women with endometrial cancer

Objectives: There are established racial disparities in mortality from endometrial cancer (EC). In addition, distress from cancer diagnosis and treatment is associated with lower compliance and more frequent use of emergency services. Differences in distress by race/ethnicity in EC have not been previously explored. Here we characterize the association between race/ethnicity, distress scores and stressors reported by patients on the National Comprehensive Cancer Network Distress Thermometer and Problem List (NCCN DT), and referral to support services in women with EC. Methods: Patients presenting to a single academic outpatient gynecologic oncology practice for initial evaluation of known EC from January 2013-May 2020 were included. The electronic health record was used to abstract demographics, NCCN DT scores, and stressor categories (physical, emotional, spiritual, practical, and family) from the initial encounter. At our institution, patients are referred to support services for an NCCN DT score ≥4. We excluded women who received prior cancer-directed therapy and those without an NCCN DT score recorded at their initial appointment. Summary statistics were tabulated for demographics. Mann-Whitney U tests were used for inter-group difference on continuous variables and 2-sample tests for equality of proportions were used for binary variables. Results: 412 non-Hispanic White (NHW, mean age 63) and 149 non-Hispanic Black (NHB, mean age 65) women were included in our analysis. More NHB women presented with high-grade EC (53.7%) vs NHW women (21.9%) and fewer NHB women were privately insured (32% vs 52%). Median distress scores were higher in NHW women compared to their NHB counterparts (4 vs. 2, p Conclusions: The NCCN DT, a widely used tool in cancer clinics, may fail to adequately measure distress in NHB women presenting with a diagnosis of EC, despite >30% more high risk histology cancers in this cohort. This phenomenon appears to be driven by the greater frequency of ‘0’ distress scores reported by NHB women. This difference leads to disparities in referral to additional support services, which may affect quality of care and quality of life. Additional research is needed to better understand how women of different races and ethnicities approach the NCCN DT.

92741 Racial differences in patient-reported distress among women with endometrial cancer

ABSTRACT IMPACT: This work will inform and improve the way we assess and treat distress in women with endometrial cancer. OBJECTIVES/GOALS: Distress from cancer is associated with worse processes of care. Differences in outcomes by race/ethnicity in endometrial cancer (EC) are well documented, but differences in distress have not been previously explored. Here we characterize the association between race/ethnicity, distress scores, and stressors reported by patients with EC. METHODS/STUDY POPULATION: Patients presenting to a single academic outpatient gynecologic oncology practice for initial evaluation of known EC from January 2013-May 2020 were included. The electronic health record was used to abstract demographics, National Comprehensive Cancer Network Distress Thermometer and Problem List (NCCN DT) scores and stressor categories (physical, emotional, spiritual, practical, and family) from the initial encounter. Referral to support services occurs at NCCN DT score ≥4. We excluded women who received prior cancer-directed therapy and those without an initial NCCN DT score. Summary statistics were tabulated for demographics. Mann-Whitney U tests were used for inter-group difference on continuous variables and 2-sample tests for equality of proportions were used for binary variables. RESULTS/ANTICIPATED RESULTS: 412 non-Hispanic White (NHW, mean age 63) and 149 non-Hispanic Black (NHB, mean age 65) women were included in our analysis. More NHB women presented with high-grade EC (53.7%) vs NHW women (21.9%) and fewer NHB women were privately insured (32% vs 52%). Median distress scores were higher in NHW women compared to their NHB counterparts (4 vs. 2, p&lt;0.001) and NHB women were more likely to report a distress score of 0 compared to their NHW counterparts (32% vs 19%, p=0.001). 50.5% NHW women had a score ≥4 and thus qualified for referral to services compared to 20.7% of NHB women (p=0.02). Of those referred, NHB and NHW women declined referral to support services at similar rates (35.1% vs 34.5%; NS). There was a significant difference in the median number of stressors reported by NHW and NHB women, (4 vs 3 stressors; p=0.02). DISCUSSION/SIGNIFICANCE OF FINDINGS: The NCCN DT, a widely used tool in cancer clinics, may fail to adequately measure distress in NHB women presenting with a diagnosis of EC, despite &gt;30% more high-risk histology cancers in this cohort. This difference leads to disparities in referral to additional support services, which may affect quality of care and quality of life.

Contemporary real-world treatment patterns and outcomes of patients with advanced/metastatic hepatocellular carcinoma receiving second-line systemic therapy in the United States.

279 Background: Several therapies have recently gained regulatory approval in the United States (US) as second-line (2L) treatment options for patients with advanced unresectable or metastatic hepatocellular carcinoma (HCC). Treatment patterns and associated outcomes in a real-world population, especially in the contemporary era, remain understudied. Methods: This retrospective study utilized electronic health record data collected during routine patient care in outpatient oncology practices in the US. Adult patients diagnosed with advanced/ metastatic HCC between April 2017 and January 2020 were identified from the Concerto HealthAI database. Patients who survived at least one month from the end of first-line (1L) systemic therapy but did not initiate 2L therapy were classified as having received supportive care alone (SCA). Demographics, patient and disease characteristics, treatment patterns, and outcomes were described descriptively. Median overall survival (OS) from initiation of 2L therapy or end of 1L therapy for patients receiving SCA until death was estimated by the Kaplan-Meier method. Results: A total of 586 patients with advanced/ metastatic HCC were identified in the database. 330 patients received 1L therapy, and of those patients 63% (N= 207) received systemic 2L therapy (n= 105) or SCA (n= 102). At first diagnosis of advanced/ metastatic HCC, the median age was 64 years, and 86% were male. Of patients with ECOG status available at diagnosis (67%), 45% had ECOG status 0-1. The most common 1L agents prescribed were sorafenib (n= 126, 61%), lenvatinib (n= 28,14%) and sorafenib + nivolumab (n= 13, 6%) The most frequent agents prescribed in 2L were nivolumab (n= 44, 42%), sorafenib (n=18,17%), and lenvatinib (n=9, 9%). The median OS of patients receiving any systemic 2L therapy was 7.7 months (95% confidence interval 5.7-11.1) from time of receiving 2L therapy, whereas the median OS of patients receiving SCA was 5.0 months (95% confidence interval 3.3-7.1) from time of end of 1L therapy. Conclusions: In this contemporary national real-world cohort of patients with advanced/ metastatic HCC, a third of patients who received 1L therapy subsequently received 2L therapy. Next steps include investigating factors associated with non-receipt of 2L therapy, sequencing of therapies when multiple lines of therapies are received, and evaluating outcomes by type of agent received in 2L and beyond.

Assessing Cancer Patient Experience of Care in Outpatient Oncology Practices in the United States.

Cancer patients' experience of care is an important component of quality that has not previously been used for comparing performance. We administered a new patient experience survey to cancer patients receiving outpatient chemotherapy treatment. We examined its measures for sensitivity to adjustment for case-mix and response tendency (level of general optimism/pessimism) and reliability for making performance comparisons between practices. We surveyed 2304 cancer patients who received chemotherapy at 23 medical oncology practices in Southeastern Pennsylvania, receiving 715 responses (response rate 31%; 14 practices had 10 or more responses). We aggregated patient responses to calculate practice-level scores on 5 predefined composites: Affective Communication, Shared Decision-Making, Patient Self-Management, Exchanging Information, and Access. We then ranked the practices on each composite before and after adjustment for standard case-mix variables and supplemental adjustment for response tendency (measured via the Life Orientation Test-Revised). We calculated the reliability of practice scores on each composite using hierarchical linear models and calculated minimum sample sizes necessary to achieve reliabilities exceeding 0.7. After adjusting responses for case-mix and converting to a 0-100 scale, composite scores ranged from 77 for the Patient Self-Management composite to 92 for the Access composite. Adjustment for response tendency had an impact on practice rankings only for the Shared Decision-Making composite. The number of responses necessary to create reliable practice-level measurements ranged from 17 (Access composite) to 96 (Affective Communication composite). Patient experiences at oncology practices can be measured reliably using reasonable sample sizes. Standard case-mix adjustment is adequate for making comparisons on most composites.

Derivation and implementation of a machine learning approach to prompt serious illness conversations among outpatients with cancer.

131 Background: Machine learning (ML) algorithms can accurately identify patients with cancer at risk of short-term mortality and facilitate timely conversations about treatment and end-of-life preferences. We developed, validated, and implemented a ML algorithm to predict mortality in a general oncology setting, using electronic health record (EHR) data prior to a clinic visit. Methods: Our cohort consisted of patients aged ≥18 years who had an encounter in outpatient oncology practices within a large academic health system between February 1st and July 1st, 2016. We randomly split the sample into training (70%) and validation (30%) cohorts at the patient-encounter level. We trained three ML algorithms to predict 180-day mortality and describe performance in the holdout validation cohort. From October 2018 to February 2019, we used the best-performing algorithm to generate weekly lists of high-risk patients at a single community oncology practice and studied the impact on rates of documented serious illness conversations (SICs). Results: Among 62,377 encounters used to train the algorithms, 7.4% involved a patient who died within 180 days. Gradient boosting and/or random forest outperformed logistic regression in all metrics (Table), and the gradient boosting model had superior discrimination and calibration. In the gradient boosting model, observed 180-day mortality was 45.5% (95% CI 39.0-52.3%) in the high-risk group vs. 3.3% (95% CI 2.9-3.7%) in the low-risk group. In a survey of oncology clinicians, 59% of patients flagged as high-risk were appropriate for a serious illness conversation in the upcoming week (response rate 52%). Five months after implementing the intervention, average monthly documented SICs increased by 23% (31.7 to 39). Conclusions: A ML algorithm based on EHR data accurately identified patients with cancer at risk of short-term mortality, was concordant with oncologists’ assessments, and was associated with more SICs. [Table: see text]

Provider perceptions of the social work role in oncologic pain management.

214 Background: Best practices of cancer care delivery have shifted from medical models to interdisciplinary approaches aimed at holistic care. The social work profession has advanced itself by gaining competence in psycho-oncology, advance care planning, biopsychosocial assessment and intervention, and pain management. While Masters prepared Social Workers (MSW) are widely recognized as experts in most of these areas, it appears that they are underutilized in pain management. This study will examine provider and nursing perceptions about social work expertise and whether those perceptions may limit utilization of social work in multidisciplinary management of cancer pain. Methods: While review of psycho-oncology literature supports the role of social work in pain management, this was not clearly indicated within the medical oncology domain. A survey was created to ascertain the perception of the MSW role in pain management as a supplement to pharmacologic and medically-based care when identifying and treating multidimensional pain. The survey was completed by Physicians, Advanced Practice Providers, and Nurses in outpatient oncology practices in The US Oncology Network. Results: 139 medical professionals responded. As hypothesized, 88% reported they were comfortable with MSWs conducting Advance Care Planning, while 61% reported being comfortable with MSWs educating patients and families about pain management during palliative/end of life care. 95% believed unmet emotional, social, spiritual and existential needs can present as physiological pain, however only 55% indicated they would include Licensed Clinical Social Workers to provide therapeutic interventions as part of pain management. Conclusions: Under half of survey participants reported an understanding of the scope of social work practice, which aligns with the lack of awareness and under-utilization of social work as a vital contributor in oncologic pain management. MSWs have training in evidence-based interventions such as CBT, guided imagery, mindfulness and biofeedback techniques which may diminish the experience of pain. Further research is recommended to identify strategies to promote and integrate social work into multidisciplinary pain management.

Co-management of elevated glucose in chemotherapy patients in the community: Working with primary care physicians.

53 Background: Approximately 8-18% of oncology patients also have diabetes. A diabetes diagnosis increases the risk of recurrence by 21% and decreases both overall and cancer-related 5-year survival. Chemotherapy has also been associated with hyperglycemia in non-diabetic patients. At one office in a multi-site outpatient oncology practice in central New Jersey, 13% of 904 chemotherapy patients treated between August 1, 2018 and October 31, 2018 had blood glucose greater than 200 mg/dL. Community practice models post a challenge to coordinated multidisciplinary care. Methods: Between 12/1/18 and 4/1/19, weekly lab reports were run revealing all active chemotherapy patients with glucose levels greater than 200. The initial run in period was 12/1/18-1/31/19, and follow up for the group (while on chemotherapy) was from 2/1/19-4/1/19. Patients and their primary medical doctors (PMDs) were contacted within 2 weeks of lab draw, labs and recent chemotherapy history shared and all communication was documented. Patients with &gt; one blood glucose above 200 were contacted monthly. Concurrent steroid use with chemotherapy and addition/adjustment of antihyperglycemics was also studied. Results: Of 324 patients who entered into the study between 12/1/18 and 1/3/19, 42 had baseline elevated glucose levels. 36 (85%) of the 42 were on concomitant corticosteroids. During the follow up period, 10 (23%) had elevated glucose levels over 200, 32 (76%) patients had levels under 200 consistently. 12 of the 32 (30%) of those patients had documented diabetic medication adjustments. Oncology/PCP communication was documented in 35 (83%) charts compared with 0% prior to the intervention, amongst our office and PMDs. Percentage of patients who saw their PCP during the intervention time will also be presented. Conclusions: Working more closely with PCPs and better electronic data sharing is needed in the community setting. Accurate medication lists and history sharing are critical to optimal multidisciplinary community care. Management of elevated glucose in oncology patients is challenging and multi factorial.

BIG DATA in geriatric oncology: How could we assess effective working time?

e18073 Background: Electronic Medical Records (EMR) were born as a result of medicine digitalization. Healthcare information systems (HIS) hold great value to the workflow management and patient care. New technologies not only allow us work with a faster and more reliable medical history, but also understand how health professionals think and work. Time consumption is one of the biggest issues that geriatric assessment (GA) has to deal with. Hurria et al. developed a brief tool which requires minimal resources and time spent (≈30 mins) by healthcare providers. On the other hand, patients´ medical history review, writing reports or tumor board discussions are often underestimated on daily time schedule. The aim of this study is to analyse the effective working time (EWT) invested in geriatric assessment in our centre by Big Data analytics. Methods: From 1 March 2018 to 31 december 2018, &gt; 70 years-old patients were prospectively recruited from the outpatient oncology practices at Basurto University Hospital. Nurse-guided geriatric assessment was scheduled 45 mins before oncologist’s first visit, and functional status, comorbidity, cognitive function, psychological state, social support, polypharmacy, nutritional status, and nurse interventions were measured. Patterns of nurse and medical behaviors from EMRs were tracked. The model to figure out active behaviour in HIS was defined as &gt; 23 events/hour. EWT was established as time spent between first and last access to HIS. Isolated events and interventions by users other than oncologists and nurses were excluded. Results: 280 patients were enrolled, 54.3% men. Geriatric assessment detected: cognitive impairment 17 pts (6.9%), mental health alteration 78 pts (27.8%), Poor social support 10 pts (3,7%), polypharmacy 239 pts (89,28%), and severe malnutrition 34 pts (13.2%). Nurse specific intervention was made in 90 pts (32,6%). The median EWT by nurses for a GA was 39 minutes (SD 0:21), and 46 mins (SD 0:17) by oncologists´global evaluation. Nurses started in average 3 mins (SD 0:27) before scheduled visit, and oncologists 9 mins (SD 0:28) after. Conclusions: Big data analytics show an assumable effective working time for a geriatric assessment in our patients. HIS users behavior analysis could help in the management of our healthcare systems.

Treatment and outcomes for patients (pts) with selected advanced/metastatic cancers by place of care.

e20717 Background: Place of care may be an important factor affecting treatment &amp; economic outcomes for pts in advanced stages of cancer. This retrospective observational study compared treatment patterns, healthcare resource use &amp; costs, and overall survival (OS) for pts treated for selected cancers in the hospital outpatient department (HO) vs community oncology practices (CP) including physician offices &amp; freestanding ambulatory centers. Methods: Claims data from a large national health plan were used to identify adult pts with newly diagnosed advanced/metastatic non small cell lung cancer (aNSCLC), metastatic breast (mBC) or metastatic colorectal cancer (mCRC) between 07/2012 &amp; 12/2016, who initiated anticancer therapy in HO or CP settings. Pts enrolled in Medicare Advantage Prescription Drug (MAPD) or commercial plans for ≥ 6 months prior &amp; ≥ 30 days after start of first line (1L) (index date) were included. OS was evaluated among pts enrolled in MAPD and costs were evaluated among pts enrolled ≥ 6 months pre- &amp; post-index, by cancer type &amp; by place of care. Outcome analyses were adjusted using multivariable models. Results: Among 8,333 eligible pts, there were 4,618, 2,304 &amp; 1,411 pts with aNSCLC, mCRC &amp; mBC, respectively and each cohort was evenly split by place of care. No notable differences in baseline characteristics or the most commonly used 1L, 2L or 3L regimens were observed by place of care for the 3 cancers. For aNSCLC pts, mean 1L treatment duration was shorter (96 v 102 days, P = 0.02) and time between 1L &amp; 2L was longer (125 v 106 days, P = 0.04) in the HO than the CP setting, respectively. For mBC, mean 1L treatment duration was longer in the HO setting (156 v 190 days, P &lt; 0.01). Adjusted total all cause healthcare costs were higher in HO than CP for mBC ( P &lt; 0.01) &amp; mCRC ( P &lt; 0.01), but no significant difference in median OS was observed between HO &amp; CP settings for the 3 cancer types. Conclusions: This study showed no major differences between HO &amp; CP settings in baseline characteristics, the first 3 lines of therapy, or adjusted median OS for aNSCLC, mCRC, or mBC cohorts. However, total costs were higher in the HO setting for mCRC &amp; mBC pts. These findings may be useful for healthcare decision &amp; policy makers but warrant further evaluation.

Adherence to Oral Anticancer Medications: Evolving Interprofessional Roles and Pharmacist Workforce Considerations.

Interprofessional care is exhibited in outpatient oncology practices where practitioners from a myriad of specialties (e.g., oncology, nursing, pharmacy, health informatics and others) work collectively with patients to enhance therapeutic outcomes and minimize adverse effects. Historically, most ambulatory-based anticancer medication therapies have been administrated in infusion clinics or physician offices. Oral anticancer medications (OAMs) have become increasingly prevalent and preferred by patients for use in residential or other non-clinic settings. Self-administration of OAMs represents a significant shift in the management of cancer care and role responsibilities for patients and clinicians. While patients have a greater sense of empowerment and convenience when taking OAMs, adherence is a greater challenge than with intravenous therapies. This paper proposes use of a qualitative systems evaluation, based on theoretical frameworks for interdisciplinary team collaboration and systems science, to examine the social interactionism involved with the use of intravenous anticancer treatments and OAMs (as treatment technologies) by describing patient, organizational, and social systems considerations in communication, care, control, and context (i.e., Kaplan’s 4Cs). This conceptualization can help the healthcare system prepare for substantial workforce changes in cancer management, including increased utilization of oncology pharmacists.

Impact of clinical pharmacists in outpatient oncology practices: A review

Published literature describing the effectiveness of outpatient oncology services delivered by clinical pharmacists is summarized. Peer-reviewed articles on studies evaluating the provision of outpatient oncology services by licensed clinical pharmacists in the United States were identified and screened according to a study-specific protocol. Only research publications focused on the care of oncology patients and indicating the evaluation of measurable services and outcomes were selected for review. Data from eligible studies were extracted using a standardized tool, and agreement by a majority of the investigators was required for inclusion of articles in the final review. Eight publications were included in the review; nearly all were published since 2010. All of the included articles reported on results of observational studies in which data sourced from surveys, existing medical or prescription records, or medical cost information were analyzed to measure patient or provider satisfaction (or both) or patient-reported health outcomes. The evaluated evidence indicated that pharmacists were effective in identifying treatment issues and medication misuse, delivering satisfactory and valued services, and finding mechanisms to reduce medical costs or generate revenue to justify continuation or support expansion of clinical pharmacy services. Moreover, in two instances, pharmacists' services were associated with improvements in symptoms reported by oncology patients. Available evidence suggests that outpatient oncology practices may benefit from integrating pharmacists into care models in order to more effectively, efficiently, and holistically address the needs of patients with cancer.

Drug-drug interactions in patients receiving tyrosine kinase inhibitors.

Rationale Tyrosine kinase inhibitors are increasingly used in the treatment of cancer. Drug interactions involving tyrosine kinase inhibitors are commonly encountered in clinical practice. The objective of this study was to describe the frequency of tyrosine kinase inhibitor-associated drug interactions among a cohort of oncology patients. Methods Adult patients were included who presented to either of two outpatient oncology practices and were prescribed a tyrosine kinase inhibitor during 2 January 2013 to 1 January 2015. Demographic and medication data were abstracted from electronic medical records. Lexicomp®, Micromedex Solutions®, and medication labeling were utilized to identify potential interactions between tyrosine kinase inhibitors and concomitant medications. Interactions were then assessed by the investigators for clinical significance. The primary outcome was the frequency of significant drug interactions involving tyrosine kinase inhibitors and concomitant medications. Secondary outcomes included describing the nature and clinical impact of interactions, and describing interactions by medication class. Results A total of 356 patients were identified for analysis, in whom 244 potential interactions were identified, and 109 (44.7%) of which were considered severe. Decreased tyrosine kinase inhibitor absorption due to acid suppressive therapy and CYP3A4 interactions were the most frequent mechanisms of potential subtherapeutic and supratherapeutic concentrations, respectively. Potential clinical consequences included QTc prolongation ( n = 53, 48.6%), decreased tyrosine kinase inhibitor concentration ( n = 53, 48.6%), and increased tyrosine kinase inhibitor concentration ( n = 3, 2.8%). Conclusions Safer alternative therapy and/or more frequent clinical monitoring should be considered if an interaction poses a significant risk of increased tyrosine kinase inhibitor toxicity or decreased tyrosine kinase inhibitor efficacy. Oncology pharmacists can play a role in screening for tyrosine kinase inhibitor-associated interactions, recommending alternative therapies or dosing strategies, and monitoring tyrosine kinase inhibitor efficacy and toxicity.