Browsing by Author "Hung, Anna"

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    COVID-19 vaccination intention and activation among health care system employees: A mixed methods study.
    (Vaccine, 2022-08) Vasudevan, Lavanya; Bruening, Rebecca; Hung, Anna; Woolson, Sandra; Brown, Adrian; Hastings, Susan N; Linton, Tammy; Embree, Genevieve; Hostler, Christopher J; Mahanna, Elizabeth; Okeke, Nwora Lance; Bosworth, Hayden; Sperber, Nina R

    Background

    Achieving high COVID-19 vaccination rates among employees is necessary to prevent outbreaks in health care settings. The goal of the study was to produce actionable and timely evidence about factors underlying the intention and decisions to obtain the COVID-19 vaccine by employees.

    Methods

    The study was conducted from December 2020 - May 2021 with employees from a VA health care system in Southeastern US. The study used a convergent mixed methods design comprising two main activities: a cross-sectional survey conducted prior to COVID-19 vaccine distribution, and semi-structured interviews conducted 4-6 months after vaccine distribution. Data were collected about participant characteristics, vaccination intention prior to distribution, vaccination decision post-distribution, determinants of vaccination intention and decision, activating factors, sources of information and intervention needs. Data from the survey and interviews were analyzed separately and integrated narratively in the discussion.

    Results

    Prior to vaccine distribution, 77% of employees wanted to be vaccinated. Post vaccine distribution, we identified 5 distinct decision-making groups: 1) vaccine believers who actively sought vaccination and included those sometimes described as "immunization advocates", 2) go along to get along (GATGA) individuals who got vaccinated but did not actively seek it, 3) cautious acceptors who got the COVID-19 vaccine after some delay, 4) fence sitters who remained uncertain about getting vaccinated, and 5) vaccine refusers who actively rejected the COVID-19 vaccine. Participants identifying with Black or multiple races were more likely to express hesitancy in their vaccination intention.

    Conclusion

    The findings of our study highlight distinct decision-making profiles associated with COVID-19 vaccination among employees of a VA health care system, and provide tailored recommendations to reduce vaccine hesitancy in this population.
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    Impact of financial medication assistance on medication adherence: a systematic review.
    (Journal of managed care & specialty pharmacy, 2021-07) Hung, Anna; Blalock, Dan V; Miller, Julie; McDermott, Jaime; Wessler, Hannah; Oakes, Megan M; Reed, Shelby D; Bosworth, Hayden B; Zullig, Leah L
    BACKGROUND: The prevalence of financial medication assistance (FMA), including patient assistance programs, coupons/copayment cards, vouchers, discount cards, and programs/pharmacy services that help patients apply for such programs, has increased. The impact of FMA on medication adherence and persistence has not been synthesized. OBJECTIVE: The primary objective of this study was to review published studies evaluating the impact of FMA on the three phases of medication adherence (initiation [or primary adherence], implementation [or secondary adherence], and discontinuation) and persistence. Among these studies, the secondary objective was to report the impact of FMA on patient out-of-pocket costs and clinical outcomes. METHODS: A systematic review was performed using MEDLINE and Web of Science. RESULTS: Of 656 articles identified, eight studies met all inclusion criteria. Seven studies examined FMA for medications treating cardiovascular diseases, while one study assessed FMA for cancer medications. Among included studies, FMA had a positive impact on medication adherence or persistence, and most measured this impact over one year or less. Of the three phases of medication adherence, implementation (5 of 8) was most commonly reported, followed by discontinuation (3 of 8), and then initiation (1 of 8). Regarding implementation, users of FMA had a higher mean medication possession ratio (MPR) than nonusers, ranging from 7 to 18 percentage points higher. The percentage of patients who discontinued medication was 7 percentage points lower in users of FMA versus nonusers for cardiovascular disease states. In one cancer study, FMA had a larger impact on initiation than discontinuation, ie, compared to nonusers, users of FMA were less likely to abandon an initial prescription (risk ratio= 0.12, 95% confidence interval [CI]: 0.08-0.18), and this effect was larger than the decreased likelihood of discontinuing the medication (hazard ratio = 0.76, 95% CI: 0.66-0.88). In 3 of 8 studies reporting on medication persistence, FMA increased the odds of medication persistence for one year ranged from 11% to 47%, depending on the study. In addition to adherence, half of the studies reported on FMA impacts on patient out-of-pocket costs and 3 of 8 studies reported on clinical outcomes. Impacts on patient out-of-pocket costs were mixed; two studies reported that out-of-pocket costs were higher for users of a coupon or a voucher versus nonusers, one study reported the opposite, and one study reported null effects. Impacts on clinical outcomes were either positive or null. CONCLUSIONS: We found that FMA has positive impacts on all phases of medication adherence as well as medication persistence over one year. Future studies should assess whether FMA has differential impacts based on phase of medication adherence and report on its longer-term (ie, beyond one year) impacts on medication adherence. DISCLOSURES: This work was sponsored by a grant from Pharmaceutical Research and Manufacturers of America (PhRMA). PhRMA had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Hung reports past employment by Blue Cross Blue Shield Association and CVS Health and a grant from PhRMA outside of the submitted work. Zullig reports research funding from Proteus Digital Health and the PhRMA Foundation. consulting fees from Novartis. Reed reports receiving research support from Abbott Vascular, AstraZeneca, Janssen Research & Development, Monteris, PhRMA Foundation, and TESARO and consulting fees from Sanofi/Regeneron, NovoNordisk, SVC Systems, and Minomic International, Inc. Bosworth reports research grants from the PhRMA Foundation, Proteus Digital Health, Otsuka, Novo Nordisk, Sanofi, Improved Patient Outcomes, Boehinger Ingelheim, NIH, and VA, as well as consulting fees from Sanofi, Novartis, Otsuka, Abbott, Xcenda, Preventric Diagnostics, and the Medicines Company. The other authors have nothing to report. This work was presented as a poster presentation at the ESPACOMP Annual Meeting in November 2020.
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    Potential Targets for Deprescribing in Medically Complex Older Adults with Suspected Cognitive Impairment.
    (Geriatrics (Basel, Switzerland), 2022-05) Pavon, Juliessa M; Berkowitz, Theodore SZ; Smith, Valerie A; Hughes, Jaime M; Hung, Anna; Hastings, Susan N
    Deprescribing may be particularly beneficial in patients with medical complexity and suspected cognitive impairment (CI). We describe central nervous system (CNS) medication use and side effects in this population and explore the relationship between anticholinergic burden and sleep. We conducted a cross-sectional analysis of baseline data from a pilot randomized-controlled trial in older adult veterans with medical complexity (Care Assessment Need score > 90), and suspected CI (Telephone Interview for Cognitive Status score 20−31). CNS medication classes included antipsychotics, benzodiazepines, H2-receptor antagonists, hypnotics, opioids, and skeletal muscle relaxants. We also coded anticholinergic-active medications according to their Anticholinergic Cognitive Burden (ACB) score. Other measures included self-reported medication side effects and the Pittsburgh Sleep Quality Index (PSQI). ACB association with sleep (PSQI) was examined using adjusted linear regression. In this sample (N = 40), the mean number of prescribed CNS medications was 2.2 (SD 1.5), 65% experienced ≥ 1 side effect, and 50% had an ACB score ≥ 3 (high anticholinergic exposure). The ACB score ≥ 3 compared to ACB < 3 was not significantly associated with PSQI scores (avg diff in score = −0.1, 95% CI −2.1, 1.8). Although results did not demonstrate a clear relationship with worsened sleep, significant side effects and anticholinergic burden support the deprescribing need in this population.
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    Randomized controlled trial of an education-based intervention to improve medication adherence: Design considerations in the medication adherence in glaucoma to improve care study.
    (Clinical trials (London, England), 2021-06) Rosdahl, Jullia A; Hein, Aaron M; Bosworth, Hayden B; Woolson, Sandra; Olsen, Maren; Kirshner, Miriam; Hung, Anna; Muir, Kelly W

    Background

    Glaucoma treatment requires patients to follow daily, often times complex, eye drop regimens, but adherence is poor for many patients, putting them at risk for irreversible vision loss. A comprehensive approach is needed to address the challenges in the self-management of glaucoma. The purpose of this study is to improve glaucoma medication adherence in Veterans with medically treated glaucoma using an education-based intervention.

    Methods/design

    This study is a single-site randomized controlled trial enrolling 200 Veterans and their companions, if companions are involved in their care. It has two arms: an intervention group and a control group. Participants in the intervention group receive an educational session with a non-physician interventionist and are provided with an AdhereTech smart bottle with the reminder functions activated. The control group is designed as an attention control such that they have a session on general eye health and are provided with a smart bottle but without the reminder functions activated. The primary outcome is the proportion of prescribed doses taken on schedule over 6 months following randomization according to the smart bottle. Secondary outcomes include intensification of glaucoma treatment, cost of intervention delivery, and cost-effectiveness of the intervention over 12 months.

    Discussion

    The education-based intervention that we are testing is comprehensive in scope, to encompass a variety of barriers to adherence that glaucoma patients encounter, but personalized to address issues facing individual patients. Particular attention was given to feasibility in the real-world setting, as the high throughput of patients and lack of reimbursement for educational encounters in ophthalmology would limit implementation of a resource-intensive intervention.
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    Within-Trial Cost-Effectiveness of an Adherence-Enhancing Educational Intervention for Glaucoma.
    (American journal of ophthalmology, 2022-12) Williams, Andrew M; Theophanous, Christos; Muir, Kelly W; Rosdahl, Jullia A; Woolson, Sandra; Olsen, Maren; Bosworth, Hayden B; Hung, Anna

    Purpose

    To assess the within-trial cost-effectiveness of a behavioral intervention to improve glaucoma medication adherence.

    Design

    Prospective cost-effectiveness analysis of randomized, controlled trial data.

    Methods

    The study setting was a Veterans Affairs (VA) eye clinic. The patient population comprised veterans with medically treated glaucoma and self-reported poor adherence. Participants were randomized to a personalized educational session with a reminder bottle to promote medication adherence or to a control session on general eye health. Costs were assessed from the perspective of the VA payor at 6 months using the VA Managerial Cost Accounting System. Probabilistic sensitivity analyses were conducted using bootstrapped samples. The main outcome measures were the proportion of participants attaining ≥80% adherence as measured by electronic monitor, total intervention and medical resource costs, and incremental cost-effectiveness ratios comparing intervention to control at 6 months.

    Results

    Of 200 randomized participants, 95 of 100 assigned to the intervention and 97 of 100 assigned to the control had adherence outcomes at 6 months, and the proportion of adherent patients was higher in the intervention group compared to control (0.78 vs 0.40, P < .0001). All participants had costs at 6 months. The total cost at 6 months was $1,149,600 in the intervention group (n = 100) compared to $1,298,700 in the control group (n = 100). Thus, in a hypothetical cohort of 100 patients, the intervention was associated with cost savings (-$149,100) and resulted in 38 additional patients achieving medication adherence.

    Conclusions

    An adherence-enhancing behavioral intervention was effective and cost saving at 6 months.