48 research outputs found

    Chronic Insomnia and Healthcare Utilization in Young Adults

    Get PDF
    Chronic insomnia is a highly prevalent disorder in general and young adult populations, and contributes a significant economic burden on society. Previous studies have shown healthcare utilization (HCU) is significantly higher for people with insomnia than people without insomnia. One limitation with previous research is accurate measurement of HCU in people with insomnia is difficult due to a high co-morbidity of medical and mental health problems as well as varying operational definitions of insomnia. Assessing HCU in people with insomnia can be improved by applying research diagnostic criteria (RDC) for insomnia, using a population with low rates of co-morbid medical/mental health problems, and measuring HCU with subjective, objective, and predictive methods. The current study found young adults with chronic insomnia had greater HCU than normal sleepers, specifically on number of medications, and chronic disease score (CDS) estimates of total healthcare costs, outpatient costs, and predicted number of primary care visits. The presence of a medical and/or mental health problem acted as a moderating variable between chronic insomnia and HCU. Simple effects testing found young adults with chronic insomnia and a medical/mental health problem had the greatest HCU followed by normal sleepers with a medical/mental health problem, chronic insomnia, and normal sleepers. Exploratory analyses found young adults with chronic insomnia had a greater likelihood of emergency room visits and overnight hospital admissions. More efforts for early identification and intervention of insomnia are necessary to help reduce costs associated with chronic insomnia co-morbid with medical and/or mental health problems

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

    Get PDF
    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency–Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

    Get PDF
    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    EASI Care

    No full text
    VA HSR&D Merit (1I01HX003096-01

    Insomnia and Insomnia-Related Care in the Department of Veterans Affairs: An Electronic Health Record Analysis

    No full text
    The objective was to examine insomnia and insomnia-related care within a regional network of Department of Veterans Affairs (VA) facilities since the VA roll-out of cognitive behavioral therapy for insomnia (CBT-I) in 2011. A retrospective analysis of VA electronic health records (EHR) data from 2011 to 2019 was conducted. The annual and overall prevalence of four insomnia indicators was measured: diagnoses, medications, consultations for assessment/treatment, and participation in CBT-I. Also examined were sociodemographic and clinical differences among veterans with and without an insomnia indicator, as well as differences among the four individual insomnia indicators. The sample included 439,887 veterans, with 17% identified by one of the four indicators; medications was most common (15%), followed by diagnoses (6%), consults (1.5%), and CBT-I (0.6%). Trends over time included increasing yearly rates for diagnoses, consults, and CBT-I, and decreasing rates for medications. Significant differences were identified between the sociodemographic and clinical variables across indicators. An evaluation of a large sample of veterans identified that prescription sleep medications remain the best way to identify veterans with insomnia. Furthermore, insomnia continues to be under-diagnosed, per VA EHR data, which may have implications for treatment consistent with clinical practice guidelines and may negatively impact veteran health

    A hybrid type I trial to increase Veterans’ access to insomnia care: study protocol for a randomized controlled trial

    Get PDF
    Abstract Background Chronic insomnia is among the most reported complaints of Veterans and military personnel referred for mental health services. It is highly comorbid with medical and psychiatric disorders, and is associated with significantly increased healthcare utilization and costs. Evidence-based psychotherapy, namely Cognitive Behavioral Therapy for Insomnia (CBTI), is an effective treatment and recommended over prescription sleep medications. While CBTI is part of a nationwide rollout in the Veterans Health Administration to train hundreds of providers, access to treatment is still limited for many Veterans due to limited treatment availability, low patient and provider knowledge about treatment options, and Veteran barriers such as distance and travel, work schedules, and childcare. Uptake of a briefer, more primary-care-friendly treatment into routine clinical care in Veterans Affairs (VA) primary care settings, where insomnia is typically first recognized and diagnosed, may effectively and efficiently increase access to effective insomnia interventions and help decrease the risks and burdens related to chronic insomnia. Methods This hybrid type I trial is composed of two aims. The first preliminarily tests the clinical non-inferiority of Brief Behavioral Treatment for Insomnia (BBTI) versus the current “gold standard” treatment, CBTI. The second is a qualitative needs assessment, guided by the Consolidated Framework for Implementation Research (CFIR), to identify potential factors that may affect successful implementation and integration of behavioral treatments for insomnia in the primary care setting. To identify potential implementation factors, individual interviews are conducted with the Veterans who participate in the clinical trial, as well as VA primary care providers and nursing staff. Discussion It is increasingly important to better understand barriers to, and facilitators of, implementing insomnia interventions in order to ensure that Veterans have the best access to care. Furthermore, it is important to evaluate the potential for new avenues of treatment delivery, like BBTI in the primary care setting, which can benefit Veterans who may not have adequate access to specialty mental health providers trained in CBTI. Trial registration ClinicalTrials.gov, ID: NCT02724800. Registered on 31 March 2016

    Veterans\u27 experiences with and perspectives on insomnia treatment: A qualitative study

    No full text
    Qualitative interviews were conducted with veterans to understand their experiences and perceptions about insomnia and its treatment, with a focus on cognitive-behavioral therapy for insomnia (CBT-I) and brief behavioral treatment for insomnia (BBTI). There is a lack of knowledge about veterans\u27 understanding of this prevalent disorder, yet their experiences and perceptions can influence treatment delivery and treatment outcomes. The Department of Veterans Affairs (VA) can improve insomnia care by considering and responding to this valuable information from veteran stakeholders. Twenty veterans with an insomnia diagnosis or complaint were interviewed about their experiences with insomnia, its treatment, and their preferences for care. Transcripts from the audio-recorded interviews were independently analyzed by 2 coders using content analysis, and discrepancies were resolved through negotiated consensus. The 20 veterans were mostly male (85%), older (60.4 years ± 9.0), and white (60%). Experiences with insomnia and perspectives regarding treatment focused on (a) insomnia symptoms, (b) comorbid symptoms, (c) seeking treatment, (d) intervention experiences, (e) intervention preferences and expectations, and (f) patient attributes. Barriers to care included a lack of knowledge about treatment and a lack of options that fit veterans\u27 preference for delivery. These results provide insight into veterans\u27 experiences with and perspectives on insomnia treatment that is crucial to the support, development, and implementation of interventions. A focus on increasing knowledge of, and expectations for, insomnia treatments as well as offering multiple delivery options has the potential to improve utilization and access to quality insomnia care. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
    corecore