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1.
JNCI Cancer Spectr ; 8(2)2024 Feb 29.
Article in English | MEDLINE | ID: mdl-38457606

ABSTRACT

BACKGROUND: Opioid safety initiatives may secondarily impact opioid prescribing and pain outcomes for cancer care. METHODS: We reviewed electronic health record data at a tertiary Veterans Affairs system (VA Palo Alto) for all patients from 2015 to 2021. We collected outpatient Schedule II opioid prescriptions data and calculated morphine milligram equivalents (MMEs) using Centers for Disease Control and Prevention conversion formulas. To determine the clinical impact of changes in opioid prescription, we used the highest level of pain reported by each patient on the 0-to-10 Numeric Rating Scale in each year, categorized into mild (0-3), moderate (4-6), and severe (7 and above). RESULTS: Among 89 569 patients, 9073 had a cancer diagnosis. Cancer patients were almost twice as likely to have an opioid prescription compared with noncancer patients (69.0% vs 36.7%, respectively). The proportion of patients who received an opioid prescription decreased from 27.1% to 18.1% (trend P < .01) in cancer patients and from 17.0% to 10.2% in noncancer patients (trend P < .01). Cancer and noncancer patients had similar declines of MMEs per year between 2015 and 2019, but the decline was more rapid for cancer patients (1462.5 to 946.4, 35.3%) compared with noncancer patients (1315.6 to 927.7, 29.5%) from 2019 to 2021. During the study period, the proportion of noncancer patients who experienced severe pain was almost unchanged, whereas it increased among cancer patients, reaching a significantly higher rate than among noncancer patients in 2021 (31.9% vs 27.4%, P < .01). CONCLUSIONS: Our findings suggest potential unintended consequences for cancer care because of efforts to manage opioid-related risks.


Subject(s)
Neoplasms , Veterans , Humans , Analgesics, Opioid/therapeutic use , Neoplasms/complications , Neoplasms/epidemiology , Neoplasms/drug therapy , Pain/drug therapy , Practice Patterns, Physicians'
3.
J Med Syst ; 46(6): 34, 2022 May 05.
Article in English | MEDLINE | ID: mdl-35511408

ABSTRACT

Digital health tools (DHT) are increasingly poised to change healthcare delivery given the Coronavirus Disease 2019 (COVID-19) pandemic and the drive to telehealth. Establishing the potential utility of a given DHT could aid in identifying how it could be best used and further opportunities for healthcare improvement. We propose a metric, a Utility Factor Score, which quantifies the benefits of a DHT by explicitly defining adherence and linking it directly to satisfaction and health goals met. To provide data for how the comparative utility score can or should work, we illustrate in detail the application of our metrics across four DHTs with two simulated users. The Utility Factor Score can potentially facilitate integration of DHTs into various healthcare settings and should be evaluated within a clinical study.


Subject(s)
COVID-19 , Telemedicine , Delivery of Health Care , Humans , Pandemics
4.
Psychiatr Res Clin Pract ; 2(1): 3-9, 2020.
Article in English | MEDLINE | ID: mdl-36101889

ABSTRACT

Objective: Burnout is widespread among behavioral health clinicians treating posttraumatic stress disorder (PTSD) among military populations. Intervention-based strategies have shown some benefit in addressing clinician burnout. One Web-based tool, the PTSD Clinicians Exchange, was designed to disseminate clinical best practices for the treatment of PTSD and facilitate self-care to mitigate burnout. This study sought to determine whether this tool could reduce burnout among clinicians treating military populations. Methods: A total of 605 behavioral health clinicians from the U.S. Department of Veterans Affairs, the Department of Defense, and the community were enrolled in a randomized controlled trial to test the effectiveness of the PTSD Clinicians Exchange. Clinicians were assessed on demographic characteristics, practice patterns, and organizational support with an online survey at baseline and at 6 and 12 months. Burnout, secondary traumatic stress (STS), and compassion satisfaction were measured with the Professional Quality of Life Scale. Results: At baseline, no differences were observed in mean±SD burnout scores for the intervention (19.9±5.1) and control groups (20.2±5.4). Participation in the Exchange had no effect on burnout score at 12 months; burnout scores remained stable across the study period. In a multivariable stepwise regression model, older age, lower burnout at baseline, and lower STS scores and higher compassion satisfaction scores at 12 months were significantly associated with lower burnout scores. Conclusions: The PTSD Clinicians Exchange did not mitigate burnout among clinicians, possibly because of the content provided, the dissemination mechanism, or participants' limited use of the Web site. These results can be used to inform and enhance future interventions.

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