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Dive into the research topics where Edmund F. Chaney is active.

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Featured researches published by Edmund F. Chaney.


The Clinical Journal of Pain | 1997

Prescription opiate abuse in chronic pain patients: clinical criteria, incidence, and predictors.

Charles Chabal; Miklavz K. Erjavec; Louis Jacobson; Anthony J. Mariano; Edmund F. Chaney

OBJECTIVES Opiates are commonly used to treat patients with chronic nonmalignant pain. There is much controversy over the definition, incidence, and risk factors of prescription opiate abuse in chronic pain treatment. The present study, done at the Seattle VA Medical Center, was designed to create opiate abuse criteria, test inter-rater reliability of the criteria, apply the criteria to a group of chronic pain patients, and correlate the risk of opiate abuse with the results of alcohol and drug testing. DESIGN/OUTCOME MEASURES A committee of experienced pain providers designed a five-point prescription opiate abuse checklist based on DSM-III-R parameters. The criteria were then applied to patients enrolled in the pain clinic. The reliability of the criteria were determined using two providers who were familiar with every patient in the clinic. Drug, alcohol, and psychosocial testing were correlated with the risk of opiate abuse. RESULTS A total of 19% (76/403) of all pain clinic patients were using chronic opiates. Thirty-four percent (26/76) met one, and 27.6% (21/76) met three or more of the abuse criteria. The criteria had an inter-rater reliability of > 0.9. There were no differences between chronic opiate users (n = 76) and opiate abusers (n = 21) for a history of drug or alcohol abuse or on psychosocial testing. CONCLUSIONS Prescription opiate abuse criteria for use in patients with chronic nonmalignant pain were designed. The criteria had good reliability and can be applied during normal clinic interactions. The percentage of chronic opiate users who become opiate abusers in pain treatment is within the range reported by others. Past opiate or alcohol abuse or psychosocial testing on clinic admission failed to predict who would become an opiate abuser. The criteria can be used to identify patients who will subsequently require more intensive treatment or intervention or can be used as an outcome to measure to test the effectiveness of treatment strategies.


Journal of the American Medical Informatics Association | 2007

Informatics Systems to Promote Improved Care for Chronic Illness: A Literature Review

David A. Dorr; Laura M. Bonner; Amy N. Cohen; Rebecca Shoai; Ruth Perrin; Edmund F. Chaney; Alexander S. Young

OBJECTIVE To understand information systems components important in supporting team-based care of chronic illness through a literature search. DESIGN Systematic search of literature from 1996-2005 for evaluations of information systems used in the care of chronic illness. MEASUREMENTS The relationship of design, quality, information systems components, setting, and other factors with process, quality outcomes, and health care costs was evaluated. RESULTS In all, 109 articles were reviewed involving 112 information system descriptions. Chronic diseases targeted included diabetes (42.9% of reviewed articles), heart disease (36.6%), and mental illness (23.2%), among others. System users were primarily physicians, nurses, and patients. Sixty-seven percent of reviewed experiments had positive outcomes; 94% of uncontrolled, observational studies claimed positive results. Components closely correlated with positive experimental results were connection to an electronic medical record, computerized prompts, population management (including reports and feedback), specialized decision support, electronic scheduling, and personal health records. Barriers identified included costs, data privacy and security concerns, and failure to consider workflow. CONCLUSION The majority of published studies revealed a positive impact of specific health information technology components on chronic illness care. Implications for future research and system designs are discussed.


Anesthesiology | 1992

The use of oral mexiletine for the treatment of pain after peripheral nerve injury

Charles Chabal; Louis Jacobson; Anthony J. Mariano; Edmund F. Chaney; Catherine W. Britell

Neuropathic pain is often a difficult condition to treat. Clinical and laboratory studies using intravenously administered local anesthetics or antiarrhythmic agents support the use of these drugs for the treatment of neuropathic pain. The availability of the oral antiarrhythmic medication, mexiletine, has made it possible to study the effects of an orally administered medication on chronic neuropathic pain. The study used a double-blind placebo-controlled design to examine 11 subjects in whom treatment with conventional pain medications had been unsuccessful. Subjects had a history of peripheral nerve injury or dysfunction, and all complained of symptoms consistent with neuropathic pain. After baseline pain measurements, mexiletine or placebo was given in gradually increasing doses to a maximum daily dose of 750 mg mexiletine. After 1 month at steady state, the subject received the alternative medication. Mexiletine was found to produce a statistically significant reduction in reported pain when compared to baseline or placebo. Pain scores were rated on a scale from 0 (no pain) to 10 (unbearable pain). Median pain scores prior to mexiletine were 7, after placebo treatment 7, and while receiving mexiletine (750 mg/day) 4. Side effects were mild and well-tolerated. Mexiletine may be effective in reducing neuropathic pain for patients in whom alternative pain medications have been unsatisfactory.


Journal of General Internal Medicine | 2003

Effectiveness of Collaborative Care Depression Treatment in Veterans' Affairs Primary Care

Susan C. Hedrick; Edmund F. Chaney; Bradford Felker; Chuan Fen Liu; Nicole Hasenberg; Patrick J. Heagerty; Jan Buchanan; Rocco Bagala; Diane Greenberg; Grady Paden; Stephan D. Fihn; Wayne Katon

AbstractOBJECTIVE: To compare collaborative care for treatment of depression in primary care with consult-liaison (CL) care. In collaborative care, a mental health team provided a treatment plan to the primary care provider, telephoned patients to support adherence to the plan, reviewed treatment results, and suggested modifications to the provider. In CL care, study clinicians informed the primary care provider of the diagnosis and facilitated referrals to psychiatry residents practicing in the primary care clinic. DESIGN: Patients were randomly assigned to treatment model by clinic firm. SETTING: VA primary care clinic. PARTICIPANTS: One hundred sixty-eight collaborative care and 186 CL patients who met criteria for major depression and/or dysthymia. MEASUREMENTS: Hopkins Symptom Checklist (SCL-20), Short Form (SF)-36, Sheehan Disability Scale. MAIN RESULTS: Collaborative care produced greater improvement than CL in depressive symptomatology from baseline to 3 months (SCL-20 change scores), but at 9 months there was no significant difference. The intervention increased the proportion of patients receiving prescriptions and cognitive behavioral therapy. Collaborative care produced significantly greater improvement on the Sheehan at 3 months. A greater proportion of collaborative care patients exhibited an improvement in SF-36 Mental Component Score of 5 points or more from baseline to 9 months. CONCLUSIONS: Collaborative care resulted in more rapid improvement in depression symptomatology, and a more rapid and sustained improvement in mental health status compared to the more standard model. Mounting evidence indicates that collaboration between primary care providers and mental health specialists can improve depression treatment and supports the necessary changes in clinic structure and incentives.


Families, Systems, & Health | 2010

Using evidence-based quality improvement methods for translating depression collaborative care research into practice.

Lisa V. Rubenstein; Edmund F. Chaney; Scott Ober; Bradford Felker; Scott E. Sherman; Andy B. Lanto; Susan Vivell

OBJECTIVE Translating Initiatives in Depression into Effective Solution (TIDES) aimed to translate research-based collaborative care for depression into an approach for the Veterans Health Administration (VA). SITES: Three multistate administrative regions and seven of their medium-sized primary care practices. INTERVENTION Researchers assisted regional leaders in adapting research-based depression care models using evidence-based quality improvement (EBQI) methods. EVALUATION We evaluated model fidelity and impacts on patients. Trained nurse depression care managers collected data on patient adherence and outcomes. RESULTS Among 72% (128) of the 178 patients followed in primary care with depression care manager assistance during the 3-year study period, mean PHQ-9 scores dropped from 15.1 to 4.7 (p < .001). A total of 87% of patients achieved a PHQ-9 score lower than 10 (no major depression). 62% achieved a score lower than six (symptom resolution). Care managers referred 28% (50) TIDES patients to mental health specialty (MHS). In the MHS-referred group, mean PHQ-9 scores dropped from 16.4 to 9.0 (p < .001). A total of 58% of MHS-referred patients achieved a PHQ-9 score lower than 10, and 40%, a score less than 6. Over the 2 years following the initial development phase reported here, national policymakers endorsed TIDES through national directives and financial support. CONCLUSIONS TIDES developed an evidence-based depression collaborative care prototype for a large health care organization (VA) using EBQI methods. As expected, care managers referred sicker patients to mental health specialists; these patients also improved. Overall, TIDES achieved excellent overall patient outcomes, and the program is undergoing national spread.


Journal of General Internal Medicine | 2007

Information Technology to Support Improved Care For Chronic Illness

Alexander S. Young; Edmund F. Chaney; Rebecca Shoai; Laura M. Bonner; Amy N. Cohen; Brad Doebbeling; David A. Dorr; Mary K. Goldstein; Eve A. Kerr; Paul Nichol; Ruth Perrin

BackgroundIn populations with chronic illness, outcomes improve with the use of care models that integrate clinical information, evidence-based treatments, and proactive management of care. Health information technology is believed to be critical for efficient implementation of these chronic care models. Health care organizations have implemented information technologies, such as electronic medical records, to varying degrees. However, considerable uncertainty remains regarding the relative impact of specific informatics technologies on chronic illness care.ObjectiveTo summarize knowledge and increase expert consensus regarding informatics components that support improvement in chronic illness care. Design: A systematic review of the literature was performed. “Use case” models were then developed, based on the literature review, and guidance from clinicians and national quality improvement projects. A national expert panel process was conducted to increase consensus regarding information system components that can be used to improve chronic illness care.ResultsThe expert panel agreed that informatics should be patient-centered, focused on improving outcomes, and provide support for illness self-management. They concurred that outcomes should be routinely assessed, provided to clinicians during the clinical encounter, and used for population-based care management. It was recommended that interactive, sequential, disorder-specific treatment pathways be implemented to quickly provide clinicians with patient clinical status, treatment history, and decision support.ConclusionsSpecific informatics strategies have the potential to improve care for chronic illness. Software to implement these strategies should be developed, and rigorously evaluated within the context of organizational efforts to improve care.


Psychiatric Services | 2009

Health Care Utilization and Its Costs for Depressed Veterans With and Without Comorbid PTSD Symptoms

M.H.S. Domin Chan; Allen D. Cheadle; M.P.H. Gayle Reiber; M.P.H. Jürgen Unützer; Edmund F. Chaney

OBJECTIVE This study examined health care utilization and costs of care among Veterans Affairs (VA) patients with depression and with or without symptoms of comorbid posttraumatic stress disorder (PTSD). METHODS Cross-sectional comparisons of health care utilization and costs were conducted with VA administrative data for a sample of veterans from a randomized trial of collaborative care depression treatment in ten VA primary care clinics across five states. Patients with depression or dysthymia were included in the study, and those who were acutely suicidal or had probable bipolar disorder were excluded. The sample of 606 patients was mainly male, white, and aged 55 or older. Health care utilization, costs, and medication data from VA administrative databases were analyzed over 12 months. RESULTS Patients with depression and PTSD (screen score > or =3) were more emotionally distressed, had more frequent mental health specialty visits (6.91 versus 1.68, p<.001), more total outpatient visits (26.16 versus 19.94, p<.001), and correspondingly higher outpatient mental health care costs over the previous 12 months compared with depressed patients without PTSD. Antidepressants were prescribed to a higher proportion of depressed patients with PTSD (61% versus 40%). CONCLUSIONS Patients with PTSD and depression had greater utilization of specialty mental health treatments and antidepressant medications and higher mental health care costs in the previous 12 months than depressed patients without PTSD. As military personnel return from Iraq, both VA and non-VA health care providers need to plan for an increase in outpatient mental health services and costs, particularly among depressed veterans who also have PTSD.


Addictive Behaviors | 1982

Relapse in opiate addicts: A behavioral analysis

Edmund F. Chaney; Douglas K. Roszell; Claudette Cummings

Behavioral interviewing was used to study the relapse antecedents and concomitants of 38 opiate addicts on methadone maintenance. Relapse situations were categorized with regard to intra- or interpersonal determinants and implications for behavioral treatment interventions were discussed. Situations were also analyzed within an opponent process theory of motivation framework. Practical and theoretical difficulties with the study of relapse situations in substance abusing populations were highlighted.


Implementation Science | 2011

Implementing collaborative care for depression treatment in primary care: A cluster randomized evaluation of a quality improvement practice redesign

Edmund F. Chaney; Lisa V. Rubenstein; Chuan Fen Liu; Elizabeth M. Yano; Cory Bolkan; Martin L. Lee; Barbara Simon; Andy B. Lanto; Bradford Felker; Jane Uman

BackgroundMeta-analyses show collaborative care models (CCMs) with nurse care management are effective for improving primary care for depression. This study aimed to develop CCM approaches that could be sustained and spread within Veterans Affairs (VA). Evidence-based quality improvement (EBQI) uses QI approaches within a research/clinical partnership to redesign care. The study used EBQI methods for CCM redesign, tested the effectiveness of the locally adapted model as implemented, and assessed the contextual factors shaping intervention effectiveness.MethodsThe study intervention is EBQI as applied to CCM implementation. The study uses a cluster randomized design as a formative evaluation tool to test and improve the effectiveness of the redesign process, with seven intervention and three non-intervention VA primary care practices in five different states. The primary study outcome is patient antidepressant use. The context evaluation is descriptive and uses subgroup analysis. The primary context evaluation measure is naturalistic primary care clinician (PCC) predilection to adopt CCM.For the randomized evaluation, trained telephone research interviewers enrolled consecutive primary care patients with major depression in the evaluation, referred enrolled patients in intervention practices to the implemented CCM, and re-surveyed at seven months.ResultsInterviewers enrolled 288 CCM site and 258 non-CCM site patients. Enrolled intervention site patients were more likely to receive appropriate antidepressant care (66% versus 43%, p = 0.01), but showed no significant difference in symptom improvement compared to usual care. In terms of context, only 40% of enrolled patients received complete care management per protocol. PCC predilection to adopt CCM had substantial effects on patient participation, with patients belonging to early adopter clinicians completing adequate care manager follow-up significantly more often than patients of clinicians with low predilection to adopt CCM (74% versus 48%%, p = 0.003).ConclusionsDepression CCM designed and implemented by primary care practices using EBQI improved antidepressant initiation. Combining QI methods with a randomized evaluation proved challenging, but enabled new insights into the process of translating research-based CCM into practice. Future research on the effects of PCC attitudes and skills on CCM results, as well as on enhancing the link between improved antidepressant use and symptom outcomes, is needed.Trial RegistrationClinicalTrials.gov: NCT00105820


Health Services Research | 2009

Organizational Cost of Quality Improvement for Depression Care

Chuan Fen Liu; Lisa V. Rubenstein; JoAnn E. Kirchner; John C. Fortney; Mark W. Perkins; Scott Ober; Jeffrey M. Pyne; Edmund F. Chaney

OBJECTIVE We documented organizational costs for depression care quality improvement (QI) to develop an evidence-based, Veterans Health Administration (VA) adapted depression care model for primary care practices that performed well for patients, was sustained over time, and could be spread nationally in VA. DATA SOURCES AND STUDY SETTING Project records and surveys from three multistate VA administrative regions and seven of their primary care practices. STUDY DESIGN Descriptive analysis. DATA COLLECTION We documented project time commitments and expenses for 86 clinical QI and 42 technical expert support team participants for 4 years from initial contact through care model design, Plan-Do-Study-Act cycles, and achievement of stable workloads in which models functioned as routine care. We assessed time, salary costs, and costs for conference calls, meetings, e-mails, and other activities. PRINCIPLE FINDINGS Over an average of 27 months, all clinics began referring patients to care managers. Clinical participants spent 1,086 hours at a cost of

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Charles Chabal

University of Washington

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Louis Jacobson

University of Washington

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Chuan Fen Liu

University of Washington

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Barbara Simon

United States Department of Veterans Affairs

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