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Dive into the research topics where JoAnn E. Kirchner is active.

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Featured researches published by JoAnn E. Kirchner.


Implementation Science | 2015

A refined compilation of implementation strategies: results from the Expert Recommendations for Implementing Change (ERIC) project

Byron J. Powell; Thomas J. Waltz; Matthew Chinman; Laura J. Damschroder; Jeffrey L. Smith; Monica M. Matthieu; Enola K. Proctor; JoAnn E. Kirchner

BackgroundIdentifying, developing, and testing implementation strategies are important goals of implementation science. However, these efforts have been complicated by the use of inconsistent language and inadequate descriptions of implementation strategies in the literature. The Expert Recommendations for Implementing Change (ERIC) study aimed to refine a published compilation of implementation strategy terms and definitions by systematically gathering input from a wide range of stakeholders with expertise in implementation science and clinical practice.MethodsPurposive sampling was used to recruit a panel of experts in implementation and clinical practice who engaged in three rounds of a modified Delphi process to generate consensus on implementation strategies and definitions. The first and second rounds involved Web-based surveys soliciting comments on implementation strategy terms and definitions. After each round, iterative refinements were made based upon participant feedback. The third round involved a live polling and consensus process via a Web-based platform and conference call.ResultsParticipants identified substantial concerns with 31% of the terms and/or definitions and suggested five additional strategies. Seventy-five percent of definitions from the originally published compilation of strategies were retained after voting. Ultimately, the expert panel reached consensus on a final compilation of 73 implementation strategies.ConclusionsThis research advances the field by improving the conceptual clarity, relevance, and comprehensiveness of implementation strategies that can be used in isolation or combination in implementation research and practice. Future phases of ERIC will focus on developing conceptually distinct categories of strategies as well as ratings for each strategy’s importance and feasibility. Next, the expert panel will recommend multifaceted strategies for hypothetical yet real-world scenarios that vary by sites’ endorsement of evidence-based programs and practices and the strength of contextual supports that surround the effort.


Journal of Substance Abuse Treatment | 2000

Depression after alcohol treatment as a risk factor for relapse among male veterans

Geoffrey M. Curran; Heather A. Flynn; JoAnn E. Kirchner; Brenda M. Booth

We examined the association between relapse-to-drinking and depressive symptomatology measured during inpatient treatment for alcohol disorder and 3 months posttreatment. Data were obtained from 298 veterans who completed 21-day inpatient treatment. Follow-up interviews were conducted at 3, 6, 9, and 12 months posttreatment. We used multiple logistic regression to assess the association between relapse and baseline/3-month posttreatment measures of depression (Beck Depression Inventory; BDI), controlling for important covariates. Our results showed that (a) the mild-to-moderately symptomatic participants (BDI = 14-19) at 3 months posttreatment were on average 2.9 times more likely than the nondepressed to have relapsed across follow-ups, and (b) the severely symptomatic participants (BDI = 20+) at 3 months posttreatment were on average 4.9 times more likely to have relapsed across follow-ups. Other analyses revealed that those with persistent depressive symptomatology reported at both baseline and 3 months posttreatment did not experience worse outcomes that those who reported symptomatology at 3 months posttreatment alone.


Implementation Science | 2015

Use of concept mapping to characterize relationships among implementation strategies and assess their feasibility and importance: results from the Expert Recommendations for Implementing Change (ERIC) study

Thomas J. Waltz; Byron J. Powell; Monica M. Matthieu; Laura J. Damschroder; Matthew Chinman; Jeffrey L. Smith; Enola K. Proctor; JoAnn E. Kirchner

BackgroundPoor terminological consistency for core concepts in implementation science has been widely noted as an obstacle to effective meta-analyses. This inconsistency is also a barrier for those seeking guidance from the research literature when developing and planning implementation initiatives. The Expert Recommendations for Implementing Change (ERIC) study aims to address one area of terminological inconsistency: discrete implementation strategies involving one process or action used to support a practice change. The present report is on the second stage of the ERIC project that focuses on providing initial validation of the compilation of 73 implementation strategies that were identified in the first phase.FindingsPurposive sampling was used to recruit a panel of experts in implementation science and clinical practice (N = 35). These key stakeholders used concept mapping sorting and rating activities to place the 73 implementation strategies into similar groups and to rate each strategy’s relative importance and feasibility. Multidimensional scaling analysis provided a quantitative representation of the relationships among the strategies, all but one of which were found to be conceptually distinct from the others. Hierarchical cluster analysis supported organizing the 73 strategies into 9 categories. The ratings data reflect those strategies identified as the most important and feasible.ConclusionsThis study provides initial validation of the implementation strategies within the ERIC compilation as being conceptually distinct. The categorization and strategy ratings of importance and feasibility may facilitate the search for, and selection of, strategies that are best suited for implementation efforts in a particular setting.


Journal of Behavioral Health Services & Research | 2002

Depressive symptomatology and early attrition from intensive outpatient substance use treatment.

Geoffrey M. Curran; JoAnn E. Kirchner; Mark Worley; Craig Rookey; Brenda M. Booth

This study examines the relationship between depressive symptoms and attrition from outpatient treatment in a Veterans Affairs facility that had recently moved to intensive outpatient-only treatment for substance abuse. This article focuses on 126 consecutively admitted patients who were enrolled on their last day of a 3- to 4-day outpatient detoxification. Results indicate that severe depressive symptomatology presenting at treatment entry is a significant risk factor for early attrition from intensive outpatient substance use treatment but not later attrition. These data indicate that retention efforts should be directed toward the assessment and management of depressive symptoms early in the treatment process, with interventions targeted to those who report severe symptomatology. The results also indicate that future research should focus on potential distinguishing characteristics between early and later attrition.


Journal of Psychiatric Research | 1998

Diagnosing depression in the medically ill: validity of a lay-administered structured diagnostic interview

Brenda M. Booth; JoAnn E. Kirchner; George Hamiltonc; Robert Harrell; G. Richard Smith

Understanding the validity of structured psychiatric diagnostic interviews in medically ill patients will advance the ability to conduct research into the treatment and management of these disorders in general medical settings. We compared the University of Michigan version of the CIDI (Composite International Diagnostic Interview) for major depression to a clinical gold standard, derived through Spitzers Longitudinal, Expert, All Data (LEAD) criteria based on the SCID-III-R. A convenience sample of medical inpatients was administered the SCID-III-R and the CIDI for major depression in random order. A physician panel reviewed the SCID interview and other pertinent data and determined whether patients had a lifetime or current (past month) diagnosis of major depression. The CIDI was scored with and without hierarchical exclusions for mania, hypomania, substance use, or medical illness. When the UM-CIDI was scored for a lifetime diagnosis of major depression without hierarchical exclusions, agreement above chance (kappa) was very good (kappa = 0.67) between the CIDI and the physician panel and good (kappa = 0.46) when the UM-CIDI was scored with exclusions. Agreement above chance for diagnosis of a recent disorder was better for UM-CIDI scoring with exclusions (kappa = 0.51) compared to scoring without exclusions (kappa = 0.43). Predictive value-positive was excellent in both scoring versions for a lifetime diagnosis (82%) and good to very good for current depression (46% and 62%). In all cases predictive value-negative was very good to excellent (77-93%). Discordant cases were almost uniformly due to difficulties in attribution of symptoms to medical illnesses. We conclude that the CIDI can perform acceptably as a research instrument to diagnose major depression in medically ill patients, potentially supplemented by clinician review of cases identified by the CIDI with current disorder.


Journal of the American Geriatrics Society | 2007

Effect of depression treatment on depressive symptoms in older adulthood: the moderating role of pain.

Shahrzad Mavandadi; Thomas R. Ten Have; Ira R. Katz; U. Nalla B. Durai; Dean D. Krahn; Maria Llorente; JoAnn E. Kirchner; Edwin Olsen; William Van Stone; Susan L. Cooley; David W. Oslin

OBJECTIVES: To investigate whether pain severity and interference with normal work activities moderate the effects of depression treatment on changes in depressive symptoms over time in older adults in primary care.


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


Journal of Behavioral Health Services & Research | 2004

Identifying factors critical to implementation of integrated mental health services in rural VA community-based outpatient clinics.

JoAnn E. Kirchner; Marisue Cody; Carol R. Thrush; Greer Sullivan; Carla Gene Rapp

84,438. Technical experts spent 2,147 hours costing


Journal of the American Geriatrics Society | 2011

Exposure to Trauma and Posttraumatic Stress Disorder Symptoms in Older Veterans Attending Primary Care: Comorbid Conditions and Self‐Rated Health Status

U. Nalla B. Durai; Mohit P. Chopra; Eugenie Coakley; Maria Llorente; JoAnn E. Kirchner; Joan M. Cook; Sue E. Levkoff

197,787. Eighty-five percent of costs derived from initial regional engagement activities and care model design. CONCLUSIONS Organizational costs of the QI process for depression care in a large health care system were significant, and should be accounted for when planning for implementation of evidence-based depression care.


Journal of General Internal Medicine | 2014

Outcomes of a Partnered Facilitation Strategy to Implement Primary Care-Mental Health

JoAnn E. Kirchner; Mona J. Ritchie; Jeffery A. Pitcock; Louise E. Parker; Geoffrey M. Curran; John Fortney

The purpose of this study was to gain a better understanding of the critical components associated with implementing integrated mental health care services in rural VA community-based outpatient clinics (CBOCs). In-person semi-structured interviews were conducted with 20 health care providers and staff within a year after placing a trained advanced practice nurse (APN) to provide mental health/substance abuse (MH/SA) care at 2 rural CBOCs in the southeastern United States. Four raters independently evaluated interview transcripts and conducted content analysis to summarize the interview results. The results indicate that key contextual factors related to leadership, staff attitudes and beliefs, and unique organizational factors of the clinic and the community can affect the success of such clinical innovations. In addition to providing descriptive information about the attitudes, beliefs, and experiences of CBOC personnel regarding implementation of integrated MH/SA services using APNs, the study findings suggest several domains that could be explored in future studies of integrated mental health service delivery to rural veterans through primary care.

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Brenda M. Booth

United States Department of Veterans Affairs

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Louise E. Parker

University of Massachusetts Boston

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Geoffrey M. Curran

University of Arkansas for Medical Sciences

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Mona J. Ritchie

University of Arkansas for Medical Sciences

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Richard R. Owen

University of Arkansas for Medical Sciences

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Thomas J. Waltz

Eastern Michigan University

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Byron J. Powell

University of North Carolina at Chapel Hill

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Enola K. Proctor

Washington University in St. Louis

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