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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2020
    In:  Nature Reviews Clinical Oncology Vol. 17, No. 5 ( 2020-05), p. 313-326
    In: Nature Reviews Clinical Oncology, Springer Science and Business Media LLC, Vol. 17, No. 5 ( 2020-05), p. 313-326
    Type of Medium: Online Resource
    ISSN: 1759-4774 , 1759-4782
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2491410-1
    detail.hit.zdb_id: 2491414-9
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 28_suppl ( 2021-10-01), p. 174-174
    Abstract: 174 Background: Patient-reported outcomes and wearable sensor measures of physical function can predict important outcomes in oncology. However, mobile and wearable-sensor apps collect vast information from patients and caregivers; indiscriminate reporting may increase provider burden and reduce data reliance. This study aimed to assess medical oncologists’ current practices in utilizing such information, and their data delivery preferences. Methods: Cross-sectional survey delivered by email to all Kaiser Permanente Northern California medical oncologists, February-March 2021. Results: Thirty-eight oncologists (30% of 127) responded to the survey. Most agreed that to reduce adverse events (AEs) it is important for the oncologist to know about the following measures: 1) patient/caregiver-reported physical symptoms (92% responded either very important or essential); 2) patient/caregiver-reported physical function (87%); and 3) objective measures of gait/balance (55%) and physical activity (50%) obtained from wearable sensors. Similarly, most respondents strongly consider these data when making decisions related to treatment intent, dosage, or visit frequency. All respondents routinely rely on information from caregivers, and in case of a discrepancy, more rely on the caregiver’s report (45%) than the patient’s report (8%), and some seek additional objective information (26%). Most respondents indicated that they prefer to receive electronic information on physical function and symptoms only for “critical values” and/or to have the information accessible “as needed” in the electronic chart, but not actively delivered to them (Table). Conclusions: Oncologists believe that patient/caregiver reports of symptoms and physical function can predict AEs, and strongly rely on them in clinical decision making. The majority of respondents would like to have access to physical function/symptoms data from mobile/wearable apps, with more providers wishing to receive information prior to a visit and/or in case of “critical values”. These findings may inform future implementations of mobile/wearable technologies to track symptoms and function of cancer patients.[Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
    detail.hit.zdb_id: 2005181-5
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  • 3
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 16_suppl ( 2022-06-01), p. 6578-6578
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. 6578-6578
    Abstract: 6578 Background: The ECOG-PS (Eastern Cooperative Oncology Group Performance Status) scale is often used to guide cancer care, but the degree to which it predicts contemporary real-world clinical outcomes, in general and within certain patient groups, is relatively unknown. This retrospective cohort study examined associations between ECOG-PS levels and adverse outcomes in cancer patients with diverse patient characteristics. Methods: Various patient characteristics and nurse-rated ECOG-PS scores (range: 0-4) were recorded for all 21,730 adult patients with cancer receiving intravenous systemic therapy between 01/01/2017 and 12/31/2019 at 18 Kaiser Permanente Northern California cancer centers. Differences in baseline characteristics by ECOG-PS scores were evaluated using chi-square tests for categorical variables and ANOVA for continuous variables. Univariable and multivariable Cox Proportional Hazard models were used to test the ability of ECOG-PS to predict the occurrence of adverse clinical outcomes, including 1-month emergency department (ED) visits and hospitalizations, and 6-month mortality. Results: Overall, 42.5% of patients had ECOG-PS = 0, 42.5% had ECOG-PS = 1, 10.5% had ECOG-PS = 2, 4% had ECOG-PS = 3 and 0.4% had ECOG-PS = 4. Most patients were women (58%), non-Hispanic White (61%), English speakers (93%) and married/domestic partners (63%). African Americans, men, older patients, and those with higher Charlson comorbidity index or Stage IV cancer were found to have higher ECOG-PS levels (all p 〈 0.001). In multivariable analysis, ECOG-PS of 3-4 were associated with higher ED visits (HR 3.85, 95% CI [3.47-4.26]), hospitalizations (HR 4.7, [4.12-5.36] ) and mortality (HR 7.34, [6.64-8.11]), compared with ECOG-PS = 0. Upper gastrointestinal (GI) and Stage IV cancers were associated with a higher risk of ED (upper GI: HR 2.39, [2.12-2.68] , (stage IV: HR 1.31, [1.21-1.42]), hospitalization (HR 2.67, [2.27-3.13] , (HR 1.51, [1.35-1.68]), and mortality rates (HR 3.37, [2.97-3.81] , (HR 1.82, [1.68-1.98]), compared to Breast and Stage I cancers; however, advanced age was not associated with these outcomes. Interactions between ECOG-PS and cancer type as well as ECOG-PS and age group were statistically significant (p 〈 0.001), such that ECOG-PS was more predictive of adverse outcomes in younger patients and those with breast cancer. Conclusions: In this contemporary real-world cohort, multivariable analysis showed that ECOG-PS, cancer type and stage were strong predictors of ED visits, hospitalizations and mortality; however, advanced age was not. These results also show that ECOG-PS is more predictive of clinical outcomes in certain patient groups. Our findings may have implications on the use of ECOG-PS for clinical decision making.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 4
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2023
    In:  Journal of Clinical Oncology Vol. 41, No. 16_suppl ( 2023-06-01), p. 1606-1606
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 16_suppl ( 2023-06-01), p. 1606-1606
    Abstract: 1606 Background: While the COVID pandemic elevated the usage of telehealth to unprecedented levels, it remains unclear whether telehealth use is sustained after the initial pandemic era, and whether there remain demographic differences in telehealth utilization. In this study, we compared telehealth trends amongst different demographic populations in a large integrated healthcare system. Methods: Utilization of various visit types (office, video, telephone) was investigated in this population-based retrospective cohort study at 22 Kaiser Permanente Northern California Hematology and Oncology clinics from 10/1/2020 to 6/1/2022. We explored trends associated with the COVID 19 pandemic and after the initial pandemic era as well as demographic differences, using Chi-square for categorical and the Mann-Whitney U Test for non-parametric comparisons. Results: During the study period, there were 341,089 hematology/oncology visits with MD/DO providers, including 83,756 (24.5%) office, 125,162 (36.7%) video, and 132,171 (38.7%) telephone. Total monthly visits remained stable, with a monthly average of 1,765 (10.9%) for new visits and 14,476 (89.1%) for return visits. Monthly telehealth visits (telephone + video) peaked in January, 2021 (85.6% of total visits) and subsequently declined by June, 2022 (68.7% of total visits). Telephone visits increased from 46.1% of telehealth visits to 58.9% over the study period. Amongst telehealth visits, video visits remained popular for new appointments (56.9%) while telephone visits were more common for return appointments (60.7%). After the initial pandemic era, telehealth utilization continued to differ amongst different demographic populations. Video visits remained a significantly higher fraction of all visits (p 〈 0.01) in: (1) less than 45 year-old (60.0%) compared to older than 80 year-old (33.2%); (2) primary English speakers (50.7%) compared to those who require an interpreter (41.5%); (3) patients with commercial insurance (58.2%) compared to those with Medicaid (47.0%) or Medicare (45.2%); (4) non-Hispanic Whites (51.4%) and Asians (52.2%) compared to Hispanic Whites (45.0%) and Blacks (43.6%); (5) patients with the lowest neighborhood deprivation index (NDI) quartile (living in the least deprived neighborhood) (54.0%) vs the highest quartile (46.1%). Conclusions: After the initial pandemic era, telehealth utilization declined slightly over time but remained a common method of providing oncology care. Video visits continued to be widely utilized for initial visits whereas there was a shift to telephone visits for follow up appointments over time. Disparities in telehealth, especially in video visits, continued to be seen in various demographic populations by age, English proficiency, insurance plan, race/ethnicity and neighborhood deprivation index. Continued high utilization of telehealth should inform policy and practices in the post-pandemic era.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 2005181-5
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  • 5
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. 6571-6571
    Abstract: 6571 Background: Performance status (PS) is assessed to inform treatment decisions and predict outcomes in cancer. PS is often evaluated using ECOG or KPS scales, limited by their subjective and static nature. Wearable activity monitors provide oncologists with the opportunity to obtain continuous objective data on patients’ daily activity including steps, stairs climbed, and sleep. We evaluated the association between wearable activity monitor data, PS, and clinical outcomes. Methods: Patients with advanced cancer were enrolled in a prospective, observational study conducted at Cedars-Sinai Medical Center. Patients wore a Fitbit Charge HR for 3 consecutive clinic visits. ECOG/KPS were rated by treating physicians and serious adverse events (AE, clinically relevant grade 3+ by CTCAE v4), hospitalizations, and 6-month survival were collected. Correlations between PS and activity metrics were calculated. Multivariable regression models were fit to predict AEs and hospitalizations with activity data. The association between activity metrics and time to death was evaluated using survival analysis. Results: 35 patients (median age 62 years, 53% male) were evaluated. Most had gastrointestinal cancers (82%). Patients had ECOG PS of 0 (20%), 1 (40%), 2 (23%), and 3(17%). There were 10 (29%) pts with serious AEs, 14 (40%) hospitalizations, and 11 (31%) deaths. Average daily steps were significantly correlated with ECOG PS and KPS (r=0.73 and 0.70, respectively). Relationships between activity metrics, AEs, hospitalizations, and overall survival (OS) are displayed in the table below. Conclusions: We found a significant association between wearable activity monitor data and the risk of AEs, hospitalization and death. There is a strong correlation between step counts and KPS/ECOG PS. The potential of wearable activity data to predict outcomes and supplement PS assessment should be explored in future studies. Clinical trial information: NCT02659358. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
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  • 6
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 28_suppl ( 2022-10-01), p. 386-386
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 28_suppl ( 2022-10-01), p. 386-386
    Abstract: 386 Background: The COVID-19 pandemic led to rapid adoption of telehealth (video or phone) visit modalities for oncology encounters not requiring in-person visits. We surveyed oncology patients regarding preferences for in-person versus telehealth modalities for different types of clinical encounters. Methods: We surveyed adults who were undergoing treatment at Kaiser Permanente Northern California infusion centers between 11/2021 – 05/2022 using a self-administered questionnaire. Patients were asked about modality preferences for 6 types of clinical discussions, overall advantages and disadvantages of telehealth versus in-person encounters, and barriers to video visit use. Results: A total of 757 patients who completed surveys in English answered questions about visit modality preferences for different types of discussions with their oncologist. Respondents were 63% female, median age 63y, and majority White (61% White, 19% Asian, 11% Latino, 7% Black) and college-educated (28% some college, 45% ≥ bachelor’s degree). For the first post-diagnosis discussion, most patients preferred in-person (IP) visits (83%), followed by video visits (27%) and phone visits (18%). For follow-up visits during treatment, patients preferred IP (52%), video (50%) and phone (37%) visits. For discussions of bad news and sensitive topics, IP visits were preferred by 68% and 62%, video visits by 44% and 48%, and phone visits by 32% and 41%, respectively. Good news could come at IP (49%), video (52%) or phone (49%) visits. Approximately 20% of patients had no overall preference for IP versus telehealth visits. However, 58% of patients felt more personally connected with their doctor at IP visits. Patients also had more confidence in IP examinations (73%) and felt IP was easier for showing things (67%) and talking (51%) to the doctor. Patients felt telehealth visits saved them time (72%), reduced infection exposure (64%) and travel issues (45%), were cheaper (38%), and enabled inclusion of more people (28%). Of 24% of patients who felt video visits would be hard, 51% cited poor internet, 41% lack of an adequate device, and 28% difficulty signing on. Conclusions: The majority of oncology patients consider telehealth visits acceptable for most types of clinical discussions, with the exception of the first post-diagnosis visit. Only one-fourth of patients indicated potentially modifiable barriers to video visits. Our results support use of telehealth visits for most types of oncology encounters.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 7
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2023
    In:  Journal of Clinical Oncology Vol. 41, No. 16_suppl ( 2023-06-01), p. e18804-e18804
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 16_suppl ( 2023-06-01), p. e18804-e18804
    Abstract: e18804 Background: Step count, as measured by a wearable accelerometer, has been shown to have a relationship to premature death, cardiovascular events, functional decline, longer stay, and higher rehospitalization rates. However, few cancer studies or trials have incorporated accelerometers to measure response to active treatment. We developed the DigiBioMarC™ smartphone application for cancer patients to enable participation in decentralized clinical trials and remote cancer care by collecting informed consent, ePROs and accelerometer data using an Apple Watch. This analysis assessed whether daily step data were associated with participants clinical events. Methods: We tested the feasibility of the DigiBioMarC application along with the Apple Watch for approximately 4 weeks with 50 cancer patients undergoing IV chemotherapy or immunotherapy recruited in a fully decentralized study through Kaiser Permanente Northern California. Participants used the app for at least 28 days and were provided with an Apple Watch if they did not already have one. Data pre-processing was performed to identify periods of missing data and non-wear time. Step count was calculated for each calendar day and days that included at least ten hours of wear time while awake were considered sufficient and included in the analysis. Specific clinical events were collected from the patients’ electronic health records (EHR) up to six months following the study. Results: Thirteen participants experienced at least one clinical event, and there were 5 deaths. Using Cox regression, patients with more sufficient days were less likely to die during follow up (p = 0.122) than patients with fewer sufficient days. On sufficient days, median daily steps 〈 = 2,510 were associated with one or more adverse clinical events, while daily steps 〉 2,510 were associated with no clinical events and had a longer time to adverse clinical event (p = 0.068) compared to those with less than or equal to 2,510 median daily steps on sufficient days. Daily median step count on sufficient days predicted clinical event occurrence with an accuracy of 0.833. Conclusions: Findings from this feasibility study support the hypothesis that daily stepping behavior is a valid real-world digital measure to predict clinical events in patients undergoing cancer treatment. Although the predictive models did not reach statistical significance (p 〈 0.05), this is likely due to the low frequency of clinical events in the dataset. These findings indicate that future investigations with larger sample sizes are warranted as this may be a beneficial tool for decentralized trials or care when patients have longer periods of time between clinical visits. In patients undergoing cancer treatment, real-world based step data extracted from wearables can provide early indication of poor or declining health.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
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  • 8
    In: The Permanente Journal, The Permanente Federation, Vol. 26, No. 2 ( 2022-06), p. 54-63
    Type of Medium: Online Resource
    ISSN: 1552-5775
    Language: English
    Publisher: The Permanente Federation
    Publication Date: 2022
    detail.hit.zdb_id: 2062823-7
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  • 9
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2021
    In:  Journal of Clinical Oncology Vol. 39, No. 28_suppl ( 2021-10-01), p. 244-244
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 28_suppl ( 2021-10-01), p. 244-244
    Abstract: 244 Background: Next generation sequencing (NGS) is a crucial component of evaluation of newly diagnosed patients with metastatic non-small cell lung cancer (NSCLC) to determine appropriate first line treatment. Delays in NGS can lead to psychologic distress for patients and can affect choices in first line therapy, especially for patients with underlying targetable mutations. While more data is needed to benchmark turnaround time for NGS results, guidelines and expert consensus suggest time from diagnosis to treatment should be 15 days and turnaround time for genomic testing 10-14 days. This study was aimed at reducing time to NGS results in a large integrated health care system. Methods: Through the ASCO Quality Training Program, we reviewed electronic medical records of 25 patients with newly diagnosed, untreated metastatic NSCLC from 12/2018 to 9/2020 and determined number of days from pathological diagnosis to NGS results. We reviewed process maps for oncology, pathology, the internal data management division, and a genomic testing company to determine factors leading to significant preventable delays. Since 11/2020, we created an automated weekly report using CoPath to identify new pathological diagnoses of potential metastatic NSCLC. The oncology department reviewed these cases weekly and NGS orders were placed for patients with metastatic NSCLC. Eleven additional patients with newly diagnosed metastatic NSCLC were included in the prospective cohort. Results: Demographic characteristics are noted in Table. Our intervention reduced median time from pathological diagnosis to NGS results from 24 to 19 days. Median time from biopsy results to NGS order was reduced from 7 to 1 day. Time from specimen being sent from pathology to NGS vendor was a median of 6 days in both cohorts. Total time from pathological diagnosis to appropriate treatment was reduced from a median of 33 to 25 days. Conclusions: Delays in time to NGS results can be reduced by improved communication between departments and simple, automated interventions to ensure results are efficiently released to an oncologist. Additional Plan-Do-Study-Act cycles are currently being developed to further reduce time from biopsy results to NGS results. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
    detail.hit.zdb_id: 2005181-5
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  • 10
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2023
    In:  Journal of Clinical Oncology Vol. 41, No. 16_suppl ( 2023-06-01), p. 1503-1503
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 16_suppl ( 2023-06-01), p. 1503-1503
    Abstract: 1503 Background: The consistent utilization of secure messaging (“SM”) since the onset of the COVID-19 pandemic has provided cancer patients with unprecedented access to their medical providers, resulting in reduced out-of-pocket costs for patients at the expense of increased workload for oncologists. Herein we analyze oncology SM content and report estimated cost savings from reduced traditional clinic visits. Methods: This population-based retrospective cohort study examined the content of patient-initiated SM threads exchanged through the patient portal website or app over a one-year period (6/1/21 to 5/31/22) at 22 Kaiser Permanente Northern California Oncology practices. A trained physician researcher reviewed a random sample of 500 SM threads and categorized them by message content type, acuity, and appropriate level of service. Standard costs were applied using the average of 2021 and 2022 Center for Medicare Services physician fee schedule and US patient average specialty copayment. Results: During the study period, 49,230 patients initiated 398,835 unique SM threads to 238 oncology providers. The average number of replies to patients’ initial messages was 2.6, with a mode of 1 (maximum 36). Of the SM threads reviewed, only 28.0% required oncologist expertise. Based on thread content, the remaining 72.0% may have been better managed by a nurse (35.4%), medical assistant (29.2%), primary care doctor (6.2%), or a different subspecialty provider (1.2%). Emergency care was required in 2.8% of the total threads reviewed. Significant medical care was provided to patients in 26.0% of the total SM threads which would traditionally require a billable visit (i.e., in-person, telephone, or video). We estimate that these clinical actions may represent 4,299,281.77 of savings in medical care (based on traditional 10-19-minute visits), and 4,562,672.40 in potentially avoided out-of-pocket co-pay costs for patients. Conclusions: Increased utilization of remote medical care and specifically SM has recently generated additional workload for oncologists that may have been more appropriately managed by alternative providers. The magnitude of unreimbursed medical care provided via SM and the use of SM by cancer patients for emergent medical situations creates an urgent need for new models to assist with practice management. An alternative architecture for triaging, managing, and billing SM that utilizes artificial intelligence, machine learning algorithms, or medical assistants, nurses, and other providers could help manage the burden experienced by oncologists.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 2005181-5
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