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  • 1
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 29_suppl ( 2020-10-10), p. 136-136
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 29_suppl ( 2020-10-10), p. 136-136
    Abstract: 136 Background: Adolescents and young adults (AYAs) with sarcoma undergo procedures that can result in acute and chronic pain. Adult cancer patients are at increased risk of chronic opioid use, and AYAs are vulnerable to misuse. However, opioid prescribing practices in AYAs with sarcoma are not known. We described opioid prescribing during active therapy and identify factors associated with continued opioid prescription post-treatment in AYAs with newly diagnosed sarcoma. Methods: Patients 10–26 years who were diagnosed with sarcoma between 2008–2016 were identified using IBM Marketscan database. Included subjects received anti-cancer therapy (chemotherapy, procedures, and/or radiation) within 30 days of diagnosis and were continuously enrolled in one insurance plan (commercial or Medicaid) 〉 12-months both before diagnosis and after last therapy. Primary outcome was opioid use, defined as at least one opioid prescription during the 12 months following treatment completion. Covariates included age, sex, insurance, treatment type, mental health (MH) and substance use (SU) diagnoses. Results: We included 1,349 patients, 75% had commercial insurance, 21% had a previous MH, and 4% had previous SU diagnosis. 63% of subjects used opioids during treatment and 28% received at least 1 prescription in the year post-therapy. Medicaid insurance was associated with 60% higher likelihood of opioid use during treatment and those with prior use were three-times more likely to continue post- therapy. Conclusions: Opioid prescriptions in AYAs with sarcoma are common during treatment. A significant proportion of patients continue to receive opioids post-therapy, particularly those with a history of use pre-diagnosis. Medicaid insurance and MH disorder are also associated with continued use post-therapy. Further research is needed to establish safe and effective opioid prescribing practices in AYAs with sarcoma. [Table: see text]
    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: 2020
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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. 43-43
    Abstract: 43 Background: Most oral anti-cancer drugs (OACD) prescriptions require extensive coordination between providers and payers, which can delay drug receipt. Specialty pharmacies are intended to facilitate communication between multiple entities to deliver OACDs with increased efficiency. In 2018, our cancer center partnered with Shields Health Solutions (SHS), a freestanding organization providing care coordination to implement a hospital-based specialty pharmacy. We evaluated the rate of failed drug receipt (FR) and time to drug receipt (TTR) before and after specialty pharmacy implementation. Methods: We prospectively collected data on all new OACD prescriptions for adult oncology patients at a large, urban cancer center from 1/1/2018 to 12/31/2019. In fall 2018, a specialty pharmacy was opened to facilitate drug procurement for patients. We collected patient demographic, clinical, and insurance data, OACD name, date prescribed, delivery date, and interactions with payers and financial assistance groups. For prescriptions received, TTR was the number of days from OACD prescription to patient receipt of the drug. FR was defined as failure to receive a prescribed OACD. We excluded OACD prescriptions for a washout period of two months during pharmacy initiation. We used multivariable logistic regression to examine factors associated with TTR 〉 7 days and FR before and after specialty pharmacy implementation. Results: In total, 883 patients were prescribed 1145 new OACDs. The majority of prescribed drugs were targeted treatment (56%, N = 646) and 72% (N = 819) required prior authorization (PA). Of all prescriptions, 86% (N = 999) were successfully received with an overall median TTR of 7 days. Adjusted analyses showed that patients were more likely to receive their drugs in less than 7 days after specialty pharmacy implementation (OR: 1.4 95% CI 1.04 – 1.81), p = 0.03). In an unadjusted analysis, patients were more likely to receive their initial medications after specialty pharmacy implementation, compared to before specialty pharmacy implementation (89% vs. 84%, p = 0.04). Multivariable analysis showed a trend toward more patients receiving drugs after specialty pharmacy implementation (OR: 1.42, 95% CI 0.98 – 2.03, p = 0.06). Conclusions: The implementation of a hospital-based specialty pharmacy in partnership with SHS decreased TTR. This difference is in part attributable to improved care coordination and communication. A centralized approach may improve overall efficiency due to fewer clinical practice disruptions.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
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  • 3
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. 12019-12019
    Abstract: 12019 Background: Opioid misuse is a public health crisis. Initial opioid exposures often occur post-operatively, and 10% of opioid-naïve patients who undergo cancer surgery subsequently become long-term opioid users. It has been shown that 70% of opioids prescribed post-operatively go unused, but only 9% of unused pills are disposed of appropriately, which increases the risk of unintended use. We evaluated the impact of an inexpensive, password-protected pill-dispensing device with mail return capacity on disposal of unused pills after cancer surgery. Methods: We conducted a prospective, proof-of-concept pilot study among adult patients scheduled for major cancer-related surgery. Enrolled patients received opioid prescriptions in a pill-dispensing device (Addinex) from a specialty pharmacy. The mechanical device linked to a smartphone app, which provided passwords on a prescriber-defined schedule. Patients were able to enter unique passwords into the device to receive their pills if the prescribed time had elapsed. The smartphone app provided clinical guidance based on patient-reported pain levels, and suggested tapering strategies. Patients were instructed to return the device in a DEA-approved mailer when opioid use was no longer required for acute pain control. Unused pills were destroyed upon receipt. The primary objective was to determine the feasibility of device return, defined as 〉 50% within 6 weeks. We also explored total pill use and return, patterns of device use and patient satisfaction. Results: We enrolled 30 patients between October 2020 and December 2021. The median age was 46 (range 29–72). Surgical procedures included abdominal hysterectomy (13), mastectomy and reconstruction (10), and soft tissue tumor resections (7). Overall, the majority of participants (n = 24, 80%) returned the device, and more than half (n = 17, 57%) returned the device within 6 weeks of surgery. There were 19 patients who obtained opioids from the device. Among these patients, the majority were satisfied with the device (n = 14, 74%); felt the benefits of the device justified the added steps involved (n = 14, 74%); and would sign up to receive opioids in the device again (n = 13, 68%). The other 11 patients used no opioids. None of these non-users reported any opioid requirements for pain control, and all but one (n = 10, 91%) returned the device and unused pills. In total, 567 opioids were prescribed, and 170 (30%) were used. Of the 397 excess pills, 332 (84% of unused pills, 59% of all pills prescribed) were returned by mail. Conclusions: We found that use of an inexpensive pill-dispensing device with mail return capacity was a feasible and effective strategy to enhance disposal of unused post-operative opioids. Interestingly, a substantial number of prescribed pills were unused. This system also improves confidence with indicated opioid use while reducing diversion.
    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
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  • 4
    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. 438-438
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 28_suppl ( 2022-10-01), p. 438-438
    Abstract: 438 Background: Nonadherence to prescribed medications occurs frequently in patient with breast cancer (BC) and can affect BC outcomes as well as outcomes for comorbid conditions. We implemented a process to screen for medication adherence in the electronic health record (EHR) in an urban outpatient BC clinic. Methods: Plan-Do-Study-Act (PDSA) methodology was used to implement a screening process for medication adherence for all patients seen in the outpatient breast oncology clinic. At check-in (via the patient portal or clinic based kiosks), patients were asked to complete an EHR adherence screener. Two PDSA cycles were completed. During cycle one (2/16/22-5/17/22), patients were asked if they received ≥1 prescribed medication; if yes they were asked to complete the questionnaire (y/n); if yes a 3-item questionnaire was used to screen for adherence to all medications over the prior 7 days. Adherence was defined as 3 of 3 responses “none of the time” to “I have missed my medicine;” “I have skipped a dose of my medicine;” and “I did not take a dose of my medicine.” During cycle two (5/17/22-6/5/22) the screener was simplified. Patients were no longer asked to complete the survey; and the survey was modified to 1-item “I did not take a dose of my medicine”, adherence was defined as response of “none of the time”. We evaluated response rate and self-reported non-adherence rate. Results: During PDSA cycle 1 (2/16/22-5/17/22), 2840 visits occurred and 722 (25%) responses were received; 80% noted prescription of ≥1 medication, 38% agreed to complete the survey; and 87% reported adherence to all prescribed medications while 13% reported non-adherence. During PDSA cycle 2 (5/17/22-6/5/22), 512 visits occurred and 172 (33%) responses were received. Of those, 73% reported prescription of ≥1 medication; of those 66%-reported adherence to all prescribed medications, 21% reported non-adherence, and 17% preferred not to answer. Conclusions: This EHR screener is a simple and scalable tool to rapidly screen for medication adherence. Up to a quarter of patients who completed screening reported non-adherence. Further tools are needed to assess adherence among patients who lack access to the patient portal or clinic kiosk, or are uncomfortable checking in with these mechanisms. Future interventions are necessary to further screen potentially non-adherent patients and for interventions to improve adherence once vulnerable patients are identified.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
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  • 5
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2021
    In:  Journal of Clinical Oncology Vol. 39, No. 15_suppl ( 2021-05-20), p. 1519-1519
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 15_suppl ( 2021-05-20), p. 1519-1519
    Abstract: 1519 Background: The past decade has seen a dramatic increase in the number of Food and Drug Administration approvals of oral anti-cancer drugs (OACDs). Most OACD prescriptions require coordination between providers, payers, specialty pharmacists, and financial assistance organizations, which can delay drug receipt. We evaluated median time to OACD receipt (TTR) from initial OACD prescription submission and assessed clinical and process-related factors associated with TTR. Methods: We prospectively collected data on all new OACD prescriptions for adult oncology patients at a large, urban outpatient cancer center from 1/1/2018 to 12/31/2019. We collected patient demographic, medical, and insurance data; prescription submission and delivery dates; and interactions with payers and financial assistance groups. TTR was defined as the number of days from OACD initial prescription to patient receipt of the drug. We estimated the median TTR across all patients and used multivariable logistic regression to identify factors associated with TTR above the median. Results: The cohort included 1080 patients who were prescribed 1269 new OACDs. Of these prescriptions, 84% (N=1069) were received, and 71% (N=896) required prior authorization. The median patient age was 66, 44% identified as Non-Hispanic White (White), 25% of patients had commercial insurance, 16% had Medicaid alone, and 58% had Medicare alone or in combination with another plan. The median TTR per patient was 7 days (IQR 0 – 142; 25% ≥ 14 days and 5% ≥ 30 days). In unadjusted analyses, insurance and race/ethnicity were associated with TTR. Compared with patients covered by Medicaid, those with Medicare and supplemental insurance (a partial, not free-standing plan) had nearly 2.5 times the odds of TTR 〉 7 days controlling for other factors. Race/ethnicity showed a trend toward longer TTR with Non-Hispanic Black (Black) patients having a longer TTR compared to White patients, controlling for other factors. We did not observe statistically significant effects of either comorbidity or prior authorization requirement on TTR. Conclusions: Though the majority of oncology patients prescribed OACDs receive the drug, 71% of prescriptions required prior authorization and a quarter of patients waited at least two weeks. Disparities in TTR are primarily driven by financial factors, specifically insurance type.[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
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  • 6
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 28_suppl ( 2021-10-01), p. 6-6
    Abstract: 6 Background: The past decade has seen a dramatic increase in the number of Food and Drug Administration approvals of oral anti-cancer drugs (OACDs). Most OACD prescriptions require coordination between payers and providers, which can delay drug receipt. In May 2021, two bills were introduced in the US House of Representatives (HR 3173 and HR 3258) to streamline the prior authorization (PA) process. In this study, we examined clinical and process-related factors associated with PA and time to drug receipt (TTR) for patients who received a new OACD prescription. Methods: We prospectively collected data on all new OACD prescriptions for adult oncology patients from 1/1/2018 to 12/31/2019. We collected patient demographic, medical, and insurance data, drug type (hormonal, chemotherapy, targeted), and specialty pharmacy interactions with payers and financial assistance groups, including PA information. TTR was defined as the number of days from OACD prescription to patient receipt of the drug. We used multivariable logistic regression to separately assess factors associated with TTR and factors associated with PA for patients who received a new OACD prescription. Results: The cohort for both models included 883 patients who were prescribed 1014 new OACDs. Of these prescriptions, 72.3% (N=733) required PA. The median age was 66 and 44% identified as White. The median TTR was 7 days (IQR 0 – 142; 25% ≥ 14 days; and 5% ≥ 30 days). In unadjusted analyses, PA was associated with insurance and drug type and delayed TTR was associated with PA and insurance type. In a multivariable analysis, patients with Medicaid insurance were more likely to require PA compared to patients with Medicare (OR 1.93 (1.14 – 3.32), p=0.03). In addition, patients prescribed targeted and hormone therapies were more likely to require PA than those prescribed oral chemotherapy (targeted: OR 3.33 [2.38 – 4.68], p 〈 0.001; hormone: OR 4.26 [2.45 – 7.65], p 〈 0.001). A separate multivariable analysis showed that PA is associated with delayed TTR (OR 1.62 [1.18 – 2.24], p=0.003) and that Medicaid is associated with a shorter TTR (OR 0.59 [0.37 – 0.94] , p=0.03). Conclusions: The current process for obtaining OACDs is complex and multifaceted. Seventy two percent of delivered OACDs require PA, which is associated with delayed TTR. Earlier intervention and new health policies are needed to reduce time to OACD receipt. [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
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  • 7
    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. 41-41
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 28_suppl ( 2021-10-01), p. 41-41
    Abstract: 41 Background: Oral anti-cancer drugs (OACDs) have become increasingly prescribed over the last 10 years and require a significant amount of care coordination. Preliminary administrative database studies have shown that 10-15% of prescriptions are never received by the patient, but the reasons behind this are poorly understood. In this study, we prospectively identified failure to receive (FR) cases in which OACD prescriptions were never received by patients, examined underlying reasons for FR, and assessed clinical and process-related factors associated with FR. Methods: We prospectively collected data on new OACD prescriptions for adult oncology patients at a large, urban academic cancer center from 1/1/2018 to 12/31/2019. We collected patient demographic, clinical, and insurance data, OACD delivery date, and interactions with payers and financial assistance groups. FR was defined as failure to receive a prescribed OACD. Reasons for FR were confirmed by manual chart review and classified into seven categories: clinical deterioration, financial access, provider-driven clinical decision making, patient-directed change, transfer of care, lost to follow up, and other. We calculated the relative proportion of each FR category and used multivariable logistic regression to identify factors associated with FR, including initiation of a prior authorization and drug class. Results: The cohort included 1,080 patients who were prescribed 1,269 new OACDs. Of these prescriptions, 13% (N=163) were categorized as FR. Among the 158 patients with FR, average patient age was 66 years, 55% identified as non-Hispanic white, 61% had any Medicare plan, 11% had Medicaid only, and 25% had commercial insurance. Overall, 18% of FR cases were attributed to clinical deterioration, 13% to financial access, 29% to provider-driven clinical decision making, 17% to patient-directed change, 13% to transfer of care, and 5% were lost to follow up. Univariate analysis showed that FR was less likely in cases where prior authorization was initiated (p 〈 0.001) and multivariate analysis confirmed this result (OR 0.47 [CI 0.33-0.66], p 〈 0.001). Conclusions: Though the majority of oncology patients prescribed OACDs received the drug, 13% of patients in our study experienced FR. FR is associated with a lack of prior authorization initiation, which may reflect barriers to access, a change in clinical decision-making, or patient choice. Ultimately, FR is multifactorial and may be appropriate in some cases. More work is needed to determine whether improved access would increase uptake in some 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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  • 8
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. 1592-1592
    Abstract: 1592 Background: The past decade has seen a dramatic increase in the number of oral anti-cancer drug (OACD) approvals in the United States. Though polypharmacy and drug-drug interactions (DDIs) likely contribute to OACD toxicity, the prevalence of these features in patients on OACDs remains largely unknown. We aimed to evaluate a one-time 30-minute pharmacist-led video consultation among metastatic cancer patients initiating OACDs to identify medication list inaccuracies as well as the prevalence, characteristics, and severity of OACD-related potential DDIs. Methods: We conducted a single-arm, prospective telehealth intervention study among 29 patients initiating OACDs to evaluate a one-time 30-minute pharmacist-led video consultation. The video visits focused on identifying and discussing polypharmacy and potential DDIs, and pharmacists then communicated recommendations to each patient's oncologist. We estimated the prevalence, characteristics (QTc prolongation, absorption interactions, etc.), and severity of OACD-related potential DDIs. Lexicomp and Micromedex were used to assess potential DDIs and measure severity on a standardized scale (A – D, X). In addition, we assessed the prevalence of medication list inaccuracies, polypharmacy, and patient satisfaction. Results: Twenty-five patients completed the intervention (86% completion rate) of whom 40% were 75 years of age or older and 60% were men. The majority were white (68%) and non-Hispanic (76%). Sixteen patients (68%) had a solid tumor diagnosis. Nearly half (48%) were insured by Medicare. The median number of medications per patient was 9 with a range of 4 – 21, and 96% of patients had at least 5 prescriptions listed. The median number of medication list errors was 2 with a range of 0 – 16, with at least 1 error for 76% and more than 1 error for 52% of patients. Pharmacists identified potential OACD-related interactions in 9 cases (40%). These included change in drug absorption or metabolism (7), QTc prolongation (1), hypotension (1), and bleeding (1). Interactions were classified as either category C (8) or D (2), requiring close monitoring or a change in treatment, respectively. All patients expressed a high level of satisfaction with the video visit. Conclusions: Polypharmacy, medication list errors, and potential DDIs are prevalent among patients initiating OACDs despite use of an electronic medical record requiring medication reconciliation. Our study suggests that a one-time remote 30-minute pharmacist-led video consultation can effectively identify and address OACD-related potential DDIs, which may decrease medication complexity and improve adherence in this population.
    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
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  • 9
    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. 277-277
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 28_suppl ( 2022-10-01), p. 277-277
    Abstract: 277 Background: Implementation of routine financial screening is a critical step toward mitigating financial toxicity. Screening facilitates identification and intervention delivery. We evaluate the feasibility and acceptability of systematic financial screening in a large, urban, outpatient cancer center. Methods: We developed and implemented a stakeholder-informed process to systematically screen all patients with cancer for financial hardship and financial worry using two items from the Comprehensive Score for Financial Toxicity. Screening was completed by patients in English or Spanish on paper forms or through the patient electronic portal; all responses were entered into the electronic health record (EHR). Repeated measures were prompted through the EHR monthly. We evaluated the feasibility of the implementation by completion rates, mode of completion and follow-up completion rates; and identified key factors to optimize implementation strategies and improve sustainability through key stakeholder feedback from patients, clinicians and staff. Results: From 3/2021 – 3/2022, 3,500 patients were seen in the outpatient breast oncology clinic and thus, eligible for screening. Of these, 39% (1,349) responded, either by paper or portal, 12% (N = 437) preferred not to answer when checking in via the patient portal, and the remaining 49% (N = 1,714) did not have data in their EHR, meaning screening was not offered or they did not complete the paper forms. Of the 1,349 respondents, most (79%, N = 1,063) responded via portal. Repeated screening measures were completed by 42% (N = 563) more than once. By language preference, response rates were 46% (English), 28% (Spanish), and 29% (Other languages). Completion rates on paper were not sustained after the initial implementation and dropped significantly after 6/2021; this correlated with staffing shortages. After expanding capacity for patients to check-in using kiosks in clinic in 7/2021, completion rates increased 78% in the following 3 months. Significant financial hardship was endorsed by 51% (N = 694), and financial worry by 36% (N = 484). From stakeholder feedback, including patient interviews, components were identified to improve screening completion rates: partnering with staff to facilitate distribution of paper forms for patients who do not use the portal; optimizing patient engagement with the portal; partnering with the electronic health record vendor to ensure non-English access is optimized; and transparent communication to patients regarding the purpose of the screening and resources available. Conclusions: We demonstrate that implementation of systematic financial screening requires an inclusive approach to achieve acceptable and equitable response rates. Electronic data capture contributes to successful financial screening implementation, but inclusive procedures that address language and technology preferences are needed to optimize screening.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 10
    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. 264-264
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 28_suppl ( 2021-10-01), p. 264-264
    Abstract: 264 Background: Opioid misuse is a public health crisis. Initial opioid exposures often occur post-operatively, and 10% of opioid-naïve patients who undergo cancer surgery subsequently become long-term opioid users. It has been shown that 70% of opioids prescribed post-operatively go unused, but only 9% of unused pills are disposed appropriately, which increases the risk of unintended use. We evaluated the impact of an inexpensive, password-protected dispensing device with mail return capacity on retrieval of unused pills after cancer surgery. Methods: Adult patients scheduled for major cancer-related surgery were eligible. Enrolled patients received opioid prescriptions in a password-protected, pill-dispensing device (Addinex) from a specialty pharmacy. The mechanical device links to a smartphone app, which provides passwords on a prescriber-defined schedule. Patients request a password when they are in pain, enter the password into the device and receive a pill if the prescribed time has elapsed. The smartphone app provides clinical guidance based on patient-reported pain levels, and suggests tapering strategies. Patients are instructed to return the device in a DEA-approved mailer when opioid use is no longer required for pain control. Unused pills are destroyed upon receipt. The primary objective was to determine the feasibility of device return, defined as 〉 50% of patients with device return. We also explored patterns of device use, patient reported outcomes, and device satisfaction via surveys and semi-structured interviews. Results: Between October, 2020 and April, 2021, 13 patients completed the study; 4 patients are currently enrolled. Among the initial 13 patients, 7 underwent abdominal hysterectomy, 4 underwent mastectomy and 2 underwent cutaneous tumor resections. The majority of these patients (n = 10, 77%) returned the device, and more than half (n = 7, 54%) returned the device within 6 weeks of surgery. Only a minority of patients (n = 5, 38%) used the device to obtain opioids; most (n = 8, 62%) used no opioids at home, and all of these patients returned the device and the unused pills. Of 11 patients who participated in semi-structured interviews, most (n = 7, 64%) said they felt safer having opioids in the device instead of a regular pill bottle. Among device users, the majority (n = 4, 80%) reported an overall positive experience. All non-users reported having no opioid requirement for pain control. Conclusions: Our early findings suggest that use of an inexpensive, password-protected, pill-dispensing device to assist with opioid dispensing and return is feasible, with a high rate of device and unused opioid return to the pharmacy. This strategy may be effective for reducing opioid diversion. Analyses and recruitment are ongoing to evaluate the benefits of reducing post-operative opioid consumption.
    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: 2021
    detail.hit.zdb_id: 2005181-5
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