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Dive into the research topics where Amy N. Cohen is active.

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Featured researches published by Amy N. Cohen.


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.


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 | 2008

The Family Forum: Directions for the Implementation of Family Psychoeducation for Severe Mental Illness

Amy N. Cohen; Shirley M. Glynn; Aaron Murray-Swank; Concepción Barrio; Ellen P. Fischer; Susan McCutcheon; Deborah A. Perlick; Armando J. Rotondi; Steven L. Sayers; Michelle D. Sherman; Lisa B. Dixon

It is well documented that family psychoeducation decreases relapse rates of individuals with schizophrenia. Despite the evidence, surveys indicate that families have minimal contact with their relatives treatment team, let alone participate in the evidence-based practice of family psychoeducation. The Department of Veterans Affairs (VA) sponsored a conference, the Family Forum, to assess the state of the art regarding family psychoeducation and to form a consensus regarding the next steps to increase family involvement. The forum reached consensus on these issues: family psychoeducation treatment models should be optimized by efforts to identify the factors mediating their success in order to maximize dissemination; leadership support, training in family psychoeducation models for managers and clinicians, and adequate resources are necessary to successfully implement family psychoeducation; because family psychoeducation may not be appropriate, indicated, or acceptable for all families, additional complementary strategies are needed that involve families in the mental health care of the patient; and work is required to develop and validate instruments that appropriately assess the intervention process and consumer and family outcomes. A treatment heuristic for working with families of persons with severe mental illness is also offered and provides a match of interventions at varying levels of intensity, tailored to family and consumer needs and circumstances. The article describes opportunities for the research and clinical communities to expand the proportion of families served.


Journal of Behavioral Health Services & Research | 2015

A Cluster Randomized Trial of Adding Peer Specialists to Intensive Case Management Teams in the Veterans Health Administration

Matthew Chinman; Rebecca S. Oberman; Barbara H. Hanusa; Amy N. Cohen; Michelle P. Salyers; Elizabeth W. Twamley; Alexander S. Young

Address correspondence to Matthew Chinman, PhD, VISN-4, VA Pittsburgh Healthcare, Mental Illness Research, Education, and Clinical Center, Pittsburgh, PA, USA. Phone: +1-412-9544338; Email: [email protected]. Matthew Chinman, PhD, RAND Corporation, VA Healthcare System, 7180 Highland Drive (151-R), Pittsburgh, PA, 15206, USA. Phone: +1-412-9544338; Email: [email protected] The online version of the original article can be found at http://dx.doi.org/10.1007/s11414-013-9343-1.


Schizophrenia Research | 2007

The validity of using patient self-report to assess psychotic symptoms in schizophrenia.

Noosha Niv; Amy N. Cohen; Jim Mintz; Joseph Ventura; Alexander S. Young

Brief, reliable and valid measures of psychosis can be very useful in both clinical practice and research, and for identifying unmet treatment needs in persons with schizophrenia. This study examines the concurrent validity and receiver operating characteristics of the psychosis scale of the Revised Behavior and Symptom Identification Scale (BASIS-R). The study was conducted with 71 adults with schizophrenia who were randomly sampled from a large mental health clinic. Study participants at the West Los Angeles Veterans Healthcare Center were assessed using the BASIS-R, a subjective, self-report measure, and the UCLA Brief Psychiatric Rating Scale (BPRS), a clinician-rated measure administered by highly trained research staff. The psychosis scale of the BASIS-R shows good concurrent validity with the psychosis items on the BPRS. Using the BPRS as the gold standard for measuring psychosis, receiver operating characteristics suggest that both the weighted and unweighted versions of the BASIS-R psychosis scale adequately identify psychosis that is moderate or greater or severe. The performance of the two versions was similar. Unweighted scores are easier to calculate, and we therefore recommend cutoff scores based on the unweighted BASIS-R. We identified a cutoff score of 0.5 to best detect moderate or greater psychosis, and a cutoff score of 1.0 to best detect severe or extremely severe psychosis. The BASIS-R has potential as an assessment tool and screening instrument in schizophrenia.


Journal of General Internal Medicine | 2010

Implementation of a Family Intervention for Individuals with Schizophrenia

Amy N. Cohen; Shirley M. Glynn; Alison B. Hamilton; Alexander S. Young

BACKGROUNDFamilies are rarely included in clinical care despite research showing that family involvement has a positive effect on individuals with schizophrenia by reducing relapse, improving work functioning, and social adjustment.OBJECTIVESThe VA QUERI study, EQUIP (Enhancing QUality of care In Psychosis), implemented family services for this population.DESIGNAt two VA medical centers, veterans with schizophrenia and their clinicians were interviewed separately at baseline and 15 months. A family intervention was implemented, and a process evaluation of the implementation was conducted.PARTICIPANTSVeterans with schizophrenia (n = 173) and their clinicians (n = 29).INTERVENTIONConsent to contact family was obtained, mailers to engage families were sent, families were prioritized as high need for family services, and staff volunteers were trained in a brief three-session family intervention.MAIN RESULTSOf those enrolled, 100 provided consent for family involvement. Seventy-three of the 100 were sent a mailer to engage them in care; none became involved. Clinicians were provided assessment data on their patients and notified of 50 patients needing family services. Of those 50, 6 families were already involved, 34 were never contacted, and 10 were contacted; 7 new families became involved in care. No families were referred to the family psychoeducational program.CONCLUSIONSUptake of the family intervention failed due to barriers from all stakeholders. Families did not respond to the mailer, patients were concerned about privacy and burdening family, clinicians had misperceptions of family-patient contact, and organizations did not free up time or offer incentives to provide the service. If a full partnership with patients and families is to be achieved, these barriers will need to be addressed, and a family-friendly environment will need to be supported by clinicians and their organizations. Applicability to family involvement in other disorders is discussed.


Journal of General Internal Medicine | 2010

Organizational Readiness in Specialty Mental Health Care

Alison B. Hamilton; Amy N. Cohen; Alexander S. Young

ABSTRACTBACKGROUNDImplementing quality improvement efforts in clinics is challenging. Assessment of organizational “readiness” for change can set the stage for implementation by providing information regarding existing strengths and deficiencies, thereby increasing the chance of a successful improvement effort. This paper discusses organizational assessment in specialty mental health, in preparation for improving care for individuals with schizophrenia.OBJECTIVETo assess organizational readiness for change in specialty mental health in order to facilitate locally tailored implementation strategies.DESIGNEQUIP-2 is a site-level controlled trial at nine VA medical centers (four intervention, five control). Providers at all sites completed an organizational readiness for change (ORC) measure, and key stakeholders at the intervention sites completed a semi-structured interview at baseline.PARTICIPANTSAt the four intervention sites, 16 administrators and 43 clinical staff completed the ORC, and 38 key stakeholders were interviewed.MAIN RESULTSThe readiness domains of training needs, communication, and change were the domains with lower mean scores (i.e., potential deficiencies) ranging from a low of 23.8 to a high of 36.2 on a scale of 10–50, while staff attributes of growth and adaptability had higher mean scores (i.e., potential strengths) ranging from a low of 35.4 to a high of 41.1. Semi-structured interviews revealed that staff perceptions and experiences of change and decision-making are affected by larger structural factors such as change mandates from VA headquarters.CONCLUSIONSMotivation for change, organizational climate, staff perceptions and beliefs, and prior experience with change efforts contribute to readiness for change in specialty mental health. Sites with less readiness for change may require more flexibility in the implementation of a quality improvement intervention. We suggest that uptake of evidence-based practices can be enhanced by tailoring implementation efforts to the strengths and deficiencies of the organizations that are implementing quality improvement changes.


Expert Review of Neurotherapeutics | 2007

New challenges in family interventions for schizophrenia.

Shirley M. Glynn; Amy N. Cohen; Noosha Niv

This review first outlines the rationale and research base supporting the development of family interventions for schizophrenia. The over-riding principles guiding effective family interventions for schizophrenia are then presented, along with the key components (engagement, assessment, education, communication skills training and problem-solving) shared by most family programs in schizophrenia. Meta-analyses demonstrating the efficacy of family interventions in reducing relapse and rehospitalization in schizophrenia are then discussed, along with issues regarding minimal duration of effective treatment, differential benefits of single and multiple family modalities and mixed evidence for the maintenance of treatment effects after termination. The benefits of participation in family-organized, nonprofessional support and education programs are then described. Finally, three issues meriting further study are outlined.


Health Services Research | 2013

Implementation of evidence-based employment services in specialty mental health.

Alison B. Hamilton; Amy N. Cohen; Dawn L. Glover; Fiona J. Whelan; Eran Chemerinski; Kirk McNagny; Deborah Mullins; Christopher Reist; Max Schubert; Alexander S. Young

OBJECTIVE Study a quality improvement approach for implementing evidence-based employment services at specialty mental health clinics. DATA SOURCES/STUDY SETTING Semistructured interviews with clinicians and administrators before, during, and after implementation. Qualitative field notes, structured baseline and follow-up interviews with patients, semistructured interviews with patients after implementation, and administrative data. STUDY DESIGN Site-level controlled trial at four implementation and four control sites. Hybrid implementation-effectiveness study with mixed methods intervention evaluation design. DATA COLLECTION/EXTRACTION METHODS Site visits, in-person and telephone interviews, patient surveys, patient self-assessment. A total of 801 patients completed baseline surveys and 53 clinicians and other clinical key stakeholders completed longitudinal qualitative interviews. PRINCIPAL FINDINGS At baseline, sites varied in the availability, utilization, and quality of supported employment. Each site needed quality improvement for this service, though for differing reasons, with some needing development of the service itself and others needing increased service capacity. Improvements in knowledge, attitudes, beliefs, and referral behaviors were evident in mid- and postimplementation interviews, though some barriers persisted. Half of patients expressed an interest in working at baseline. Patients at implementation sites were 2.3 times more likely to receive employment services during the study year. Those who had a service visit were more likely to be employed at follow-up than those who did not. CONCLUSIONS Studies of implementation and effectiveness require mixed methods to both enhance implementation in real time and provide context for interpretation of complex results. In this study, a quality improvement approach resulted in superior patient-level outcomes and improved clinician knowledge, attitudes, and behaviors, in the context of substantial variation among sites.


Medical Care | 2013

Using Patient-facing Kiosks to Support Quality Improvement at Mental Health Clinics

Amy N. Cohen; Matthew Chinman; Alison B. Hamilton; Fiona J. Whelan; Alexander S. Young

Objectives: Evidence-based services improve outcomes in schizophrenia, but most patients at mental health clinics do not receive such services. This gap in care has been perpetuated by a lack of routinely collected data on patients’ clinical status and the treatments they receive. However, routine data collection can be completed by patients themselves, especially when aided by health information technology. It is not known whether these data can be used to improve care quality. Methods: In a controlled trial, 8 medical centers of the Veterans Health Administration were assigned to implementation or usual care. A total of 571 patients with schizophrenia were overweight and had not used evidence-based weight services. The implementation strategy included data from patient-facing kiosks, continuous data feedback, clinical champions, education, social marketing, and evidence-based quality improvement teams. Mixed methods evaluated the impact of the kiosks on utilization of and retention in weight services. Results: Compared with usual care, implementation resulted in individuals being more likely to use weight services, availing services >5 weeks sooner, and continuing to use the services 3 times more. When compared with the year before implementation, patients at implementation sites saw a 3-fold increase in treatment visits. Usual care resulted in no change. Conclusions: Mental health clinics have been slow to adopt health information technology. This study is among the first to implement and evaluate automated collection of data from patients at these clinics. Patient-facing kiosks are feasible in routine care and provide data that can be used to substantially improve the quality of care.

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Amy L. Drapalski

United States Department of Veterans Affairs

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Noosha Niv

University of California

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Risha M. Henry

University of California

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