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Fortney JC, Ratzliff AD, Blanchard BE, Ferro L, Rouvere J, Chase E, Duncan MH, Merrill JO, Simpson T, Williams EC, Austin EJ, Curran GM, Schoenbaum M, Heagerty PJ, Saxon AJ. Collaborating to heal addiction and mental health in primary care (CHAMP): A protocol for a hybrid type 2a trial. Contemp Clin Trials 2024; 146:107700. [PMID: 39322115 DOI: 10.1016/j.cct.2024.107700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 08/23/2024] [Accepted: 09/21/2024] [Indexed: 09/27/2024]
Abstract
BACKGROUND The gold-standard treatment for opioid use disorder (OUD) is medication for OUD (MOUD). However, less than a quarter of people with OUD initiate MOUD. Expanding the Collaborative Care Model (CoCM) to include primary care patients with OUD could improve access to and initiation of MOUD. This paper presents the methods and baseline sample characteristics of a Hybrid Type 2a trial comparing the effectiveness of CoCM for OUD and co-occurring mental health symptoms (MHS) to CoCM for MHS only. METHOD 42 primary care clinics were cluster randomized and 254 primary care patients with OUD and elevated MHS were enrolled. Recruitment was terminated early by the Data and Safety Monitoring Board for futility. Participants completed research assessments at baseline, 3 months, and 6 months. The multiple primary outcomes were past-month number of days of nonmedical opioid use and SF12 Mental Health Component Summary (MCS) scores. RESULTS MCS scores were over a standard deviation below the national mean (M = 34.5). Nearly half (47.6 %) of participants had previously overdosed in their lifetimes. Three quarters (76.0 %) were already being prescribed MOUD at baseline, only 30.4 % reported non-medical use of opioids, and only 33.9 % reported being bothered by opioid cravings. CONCLUSION The unexpectedly high proportion of enrollees already prescribed MOUD at baseline indicates that most patients were in the maintenance rather than acute phase of treatment. Challenges identifying and enrolling patients in the acute phase of OUD treatment implies that intervention effectiveness will depend on its success preventing the discontinuation of MOUD rather than initiating MOUD.
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Affiliation(s)
- John C Fortney
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, United States of America; Advancing Integrated Mental Health Solutions (AIMS) Center, University of Washington, Seattle, WA, United States of America; Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound, Seattle, WA, United States of America.
| | - Anna D Ratzliff
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, United States of America; Advancing Integrated Mental Health Solutions (AIMS) Center, University of Washington, Seattle, WA, United States of America
| | - Brittany E Blanchard
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, United States of America
| | - Lori Ferro
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, United States of America
| | - Julien Rouvere
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, United States of America
| | - Erin Chase
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, United States of America
| | - Mark H Duncan
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, United States of America
| | - Joseph O Merrill
- Department of Medicine, School of Medicine, University of Washington, Seattle, WA, United States of America
| | - Tracy Simpson
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, United States of America; Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound, Seattle, WA, United States of America
| | - Emily C Williams
- Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound, Seattle, WA, United States of America; Department of Health Systems and Population Health, School of Public Health University of Washington, Seattle, WA, United States of America
| | - Elizabeth J Austin
- Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, VA Puget Sound, Seattle, WA, United States of America; Department of Health Systems and Population Health, School of Public Health University of Washington, Seattle, WA, United States of America
| | - Geoffrey M Curran
- College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Department of Veterans Affairs, Health Services Research and Development, Center for Mental Healthcare and Outcomes Research, Little Rock, AR, USA
| | | | - Patrick J Heagerty
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, United States of America
| | - Andrew J Saxon
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, United States of America; Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound, Seattle, WA, United States of America
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Mehta J, Aalsma MC, O'Brien A, Boyer TJ, Ahmed RA, Summanwar D, Boustani M. Becoming an Agile Change Conductor. Front Public Health 2022; 10:1044702. [PMID: 36589970 PMCID: PMC9794851 DOI: 10.3389/fpubh.2022.1044702] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/25/2022] [Indexed: 12/15/2022] Open
Abstract
Background It takes decades and millions of dollars for a new scientific discovery to become part of clinical practice. In 2015, the Center for Health Innovation & Implementation Science (CHIIS) launched a Professional Certificate Program in Innovation and Implementation Sciences aimed at transforming healthcare professionals into Agile Change Conductors capable of designing, implementing, and diffusing evidence-based healthcare solutions. Method In 2022, the authors surveyed alumni from the 2016-2021 cohorts of the Certificate Program as part of an educational quality improvement inquiry and to evaluate the effectiveness of the program. Results Of the 60 alumni contacted, 52 completed the survey (87% response rate) with 60% of graduates being female while 30% were an under-represented minority. On a scale from 1 to 5, the graduates agreed that the certificate benefited their careers (4.308 with a standard deviation (SD) of 0.612); expanded their professional network (4.615, SD of 0.530); and had a large impact on the effectiveness of their leadership (4.288, SD of 0.667), their change management (4.365, SD of 0.742), and their communication (4.392, SD of 0.666). Graduates claimed to use Agile Processes (Innovation, Implementation, or Diffusion), storytelling, and nudging weekly. On a scale from 0 to 10 where 10 indicates reaching a mastery, the average score for different Agile competencies ranged from 5.37 (SD of 2.80) for drafting business proposals to 7.77 (SD of 1.96) for self-awareness. For the 2020 and 2021 cohorts with existing pre and post training competency data, 22 of the 26 competencies saw a statistically significant increase. Conclusion The Graduate Certificate has been able to create a network of Agile Change Conductors competent to design, implement, and diffuse evidence-based care within the healthcare delivery system. Further improvements in building dissemination mastery and program expansion initiatives are advised.
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Affiliation(s)
- Jade Mehta
- Center for Health Innovation and Implementation Science, School of Medicine, Indiana University, Indianapolis, IN, United States,*Correspondence: Jade Mehta
| | - Matthew C. Aalsma
- Department of Pediatrics, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Andrew O'Brien
- Center for Health Innovation and Implementation Science, School of Medicine, Indiana University, Indianapolis, IN, United States,Department of Medicine, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Tanna J. Boyer
- Center for Health Innovation and Implementation Science, School of Medicine, Indiana University, Indianapolis, IN, United States,Department of Anesthesia, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Rami A. Ahmed
- Division of Simulation, Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Diana Summanwar
- Department of Family Medicine, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Malaz Boustani
- Center for Health Innovation and Implementation Science, School of Medicine, Indiana University, Indianapolis, IN, United States,Department of Medicine, School of Medicine, Indiana University, Indianapolis, IN, United States,Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, IN, United States,Sandra Eskenazi Center for Brain Care Innovation, Eskenazi Health, Indianapolis, IN, United States
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Gladstone TR, Feinstein RT, Fitzgibbon ML, Schiffer L, Berbaum ML, Lefaiver C, Pössel P, Diviak K, Wang T, Knepper AK, Sanchez-Flack J, Rusiewski C, Potts D, Buchholz KR, Myers TL, Van Voorhees BW. PATH 2 Purpose: Design of a comparative effectiveness study of prevention programs for adolescents at-risk for depression in the primary care setting. Contemp Clin Trials 2022; 117:106763. [DOI: 10.1016/j.cct.2022.106763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 03/18/2022] [Accepted: 04/11/2022] [Indexed: 11/28/2022]
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Boustani M, Unützer J, Leykum LK. Design, implement, and diffuse scalable and sustainable solutions for dementia care. J Am Geriatr Soc 2021; 69:1755-1762. [PMID: 34245584 DOI: 10.1111/jgs.17342] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/14/2021] [Accepted: 05/16/2021] [Indexed: 12/20/2022]
Abstract
Most innovations developed to reduce the burden of Alzheimer disease and other related dementias (ADRD) are difficult to implement, diffuse, and scale. The consequences of such challenges in design, implementation, and diffusion are suboptimal care and resulting harm for people living with ADRD and their caregivers. National experts identified four factors that contribute to our limited ability to implement and diffuse of evidence-based services and interventions for people living with ADRD: (1) limited market demand for the implementation and diffusion of effective ADRD interventions; (2) insufficient engagement of persons living with ADRD and those caring for them in the development of potential ADRD services and interventions; (3) limited evidence and experience regarding scalability and sustainability of evidence-based ADRD care services; and (4) difficulties in taking innovations that work in one context and successfully implementing them in other contexts. New investments in the science of human-centered design, implementation, and diffusion are crucial for meeting the goals of the National Plan to Address Alzheimer's Disease under the auspices of the National Alzheimer's Project Act.
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Affiliation(s)
- Malaz Boustani
- Department of Medicine, Indiana University, Center for Health Innovation and Implementation Science, Indianapolis, Indiana, USA.,Sandra Eskenazi Center for Brain Care Innovation, Eskenazi Health, Indianapolis, Indiana, USA.,Regenstrief Institute, Inc, Indianapolis, Indiana, USA
| | - Jürgen Unützer
- Department of Psychiatry, University of Washington, Seattle, Washington, USA
| | - Luci K Leykum
- Department of Internal Medicine, South Texas Veterans Healthcare System, Austin, Texas, USA.,Dell Medical School, The University of Texas at Austin, Austin, Texas, USA
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Zandi PP, Wang YH, Patel PD, Katzelnick D, Turvey CL, Wright JH, Ajilore O, Coryell W, Schneck CD, Guille C, Saunders EFH, Lazarus SA, Cuellar VA, Selvaraj S, Dill Rinvelt P, Greden JF, DePaulo JR. Development of the National Network of Depression Centers Mood Outcomes Program: A Multisite Platform for Measurement-Based Care. Psychiatr Serv 2020; 71:456-464. [PMID: 31960777 DOI: 10.1176/appi.ps.201900481] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVES Mood disorders are among the most burdensome public health concerns. The National Network of Depression Centers (NNDC) is a nonprofit consortium of 26 leading clinical and academic member centers in the United States providing care for patients with mood disorders, including depression and bipolar disorder. The NNDC has established a measurement-based care program called the Mood Outcomes Program whereby participating sites follow a standard protocol to electronically collect patient-reported outcome assessments on depression, anxiety, and suicidal ideation in routine clinical care. This article describes the approaches taken to develop and implement the program. METHODS Since 2015, eight pilot sites have implemented the program and followed more than 10,000 patients. This pilot study presents descriptive statistics based on the first 24-month period of data collection. RESULTS In this sample, 58.6% of patients with bipolar disorder (N=849) and 57.5% of patients with unipolar depression (N=3,998) remained symptomatic at follow-up. Lifetime rates of planned or actual suicide attempts were high, ranging from 27.6% for patients with unipolar mood disorders to 33.5% for patients with bipolar disorder. Men, unmarried individuals, and those with comorbid anxiety had a poorer longitudinal course. This initial snapshot of clinical burden is consistent with public health data indicating that mood disorders are severely debilitating. CONCLUSIONS This study demonstrates the potential of the Mood Outcomes Program to create a nationwide "learning health system" for mood disorders. This goal will be further realized as the program expands in reach and scope across additional NNDC sites.
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Affiliation(s)
- Peter P Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Yu-Hsun Wang
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Paresh D Patel
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - David Katzelnick
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Carolyn L Turvey
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Jesse H Wright
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Olusola Ajilore
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - William Coryell
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Christopher D Schneck
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Constance Guille
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Erika F H Saunders
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Sophie A Lazarus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Valeria A Cuellar
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Sudhakar Selvaraj
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - Patricia Dill Rinvelt
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - John F Greden
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
| | - J Raymond DePaulo
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore (Zandi, DePaulo); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Zandi, Wang); Department of Psychiatry (Patel) and Comprehensive Depression Center (Greden), both at University of Michigan, Ann Arbor; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Katzelnick); Department of Psychiatry, University of Iowa Healthcare, Iowa City (Turvey); Depression Center, University of Louisville, Louisville, Kentucky (Wright); Department of Psychiatry, University of Illinois at Chicago, Chicago (Ajilore); Department of Psychiatry, University of Iowa College of Medicine, Iowa City (Coryell); Department of Psychiatry, University of Colorado, Boulder (Schneck); Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston (Guille); Department of Psychiatry, Penn State Hershey Medical Center, Hershey, Pennsylvania (Saunders); Department of Psychology, Ohio State University, Columbus (Lazarus); Center of Excellence on Mood Disorders (Cuellar) and Department of Psychiatry and Behavioral Sciences (Selvaraj), both at University of Texas Health Science Center, Houston; National Network of Mood Disorders, Ann Arbor, Michigan (Dill Rinvelt)
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Callahan CM, Bateman DR, Wang S, Boustani MA. State of Science: Bridging the Science-Practice Gap in Aging, Dementia and Mental Health. J Am Geriatr Soc 2019; 66 Suppl 1:S28-S35. [PMID: 29659003 DOI: 10.1111/jgs.15320] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 01/26/2018] [Accepted: 01/29/2018] [Indexed: 12/21/2022]
Abstract
The workforce available to care for older adults has not kept pace with the need. In response to workforce limitations and the growing complexity of healthcare, scientists have tested new models of care that redesign clinical practice. This article describes why new models of care in aging, dementia, and mental health diffuse inadequately into the healthcare systems and communities where they might benefit older adults. We review a general framework for the diffusion of innovations and highlight the importance of other features of innovations that deter or facilitate diffusion. Although scientists often focus on generating evidence-based innovations, end-users apply their own criteria to determine an innovation's value. In 1962, Rogers suggested six features of an innovation that facilitate or deter diffusion suggested: relative advantage, compatibility with the existing environment, ease or difficulty of implementation, trial-ability or ability to "test drive", adaptability, and observed effectiveness. We describe examples of models of care in aging, dementia and mental health that enjoy a modicum of diffusion into practice and place the features of these models in the context of deterrents and facilitators for diffusion. Developers of models of care in aging, dementia, and mental health typically fail to incorporate the complexities of health systems, the barriers to diffusion, and the role of emotion into design considerations of new models. We describe agile implementation as a strategy to facilitate the speed and scale of diffusion in the setting of complex adaptive systems, social networks, and dynamic macroenvironments.
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Affiliation(s)
- Christopher M Callahan
- Center for Aging Research, Indiana University, Indianapolis, Indiana.,Department of Medicine, School of Medicine, Indiana University, Indianapolis, Indiana.,Regenstrief Institute, Inc., Indianapolis, Indiana
| | - Daniel R Bateman
- Center for Aging Research, Indiana University, Indianapolis, Indiana.,Regenstrief Institute, Inc., Indianapolis, Indiana.,Department of Psychiatry, School of Medicine, Indiana University, Indianapolis, Indiana.,Center for Health Innovation and Implementation Science, Indiana University, Indianapolis, Indiana
| | - Sophia Wang
- Department of Psychiatry, School of Medicine, Indiana University, Indianapolis, Indiana.,Center for Health Innovation and Implementation Science, Indiana University, Indianapolis, Indiana.,Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana
| | - Malaz A Boustani
- Center for Aging Research, Indiana University, Indianapolis, Indiana.,Department of Medicine, School of Medicine, Indiana University, Indianapolis, Indiana.,Regenstrief Institute, Inc., Indianapolis, Indiana.,Center for Health Innovation and Implementation Science, Indiana University, Indianapolis, Indiana
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7
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Prihodova L, Guerin S, Tunney C, Kernohan WG. Key components of knowledge transfer and exchange in health services research: Findings from a systematic scoping review. J Adv Nurs 2019; 75:313-326. [PMID: 30168164 PMCID: PMC7379521 DOI: 10.1111/jan.13836] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Revised: 06/28/2018] [Accepted: 08/06/2018] [Indexed: 12/22/2022]
Abstract
AIMS To identify the key common components of knowledge transfer and exchange in existing models to facilitate practice developments in health services research. BACKGROUND There are over 60 models of knowledge transfer and exchange designed for various areas of health care. Many of them remain untested and lack guidelines for scaling-up of successful implementation of research findings and of proven models ensuring that patients have access to optimal health care, guided by current research. DESIGN A scoping review was conducted in line with PRISMA guidelines. Key components of knowledge transfer and exchange were identified using thematic analysis and frequency counts. DATA SOURCES Six electronic databases were searched for papers published before January 2015 containing four key terms/variants: knowledge, transfer, framework, health care. REVIEW METHODS Double screening, extraction and coding of the data using thematic analysis were employed to ensure rigour. As further validation stakeholders' consultation of the findings was performed to ensure accessibility. RESULTS Of the 4,288 abstracts, 294 full-text articles were screened, with 79 articles analysed. Six key components emerged: knowledge transfer and exchange message, Stakeholders and Process components often appeared together, while from two contextual components Inner Context and the wider Social, Cultural and Economic Context, with the wider context less frequently considered. Finally, there was little consideration of the Evaluation of knowledge transfer and exchange activities. In addition, specific operational elements of each component were identified. CONCLUSIONS The six components offer the basis for knowledge transfer and exchange activities, enabling researchers to more effectively share their work. Further research exploring the potential contribution of the interactions of the components is recommended.
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Affiliation(s)
- Lucia Prihodova
- UCD School of PsychologyUniversity College DublinDublinIreland
- Palliative Care Research NetworkAll Ireland Institute for Hospice and Palliative CareDublinIreland
| | - Suzanne Guerin
- UCD School of PsychologyUniversity College DublinDublinIreland
- Palliative Care Research NetworkAll Ireland Institute for Hospice and Palliative CareDublinIreland
- UCD Centre for Disability StudiesUniversity College DublinDublinIreland
| | - Conall Tunney
- UCD Centre for Disability StudiesUniversity College DublinDublinIreland
| | - W. George Kernohan
- Palliative Care Research NetworkAll Ireland Institute for Hospice and Palliative CareDublinIreland
- Institute of Nursing and Health ResearchUlster UniversityBelfastNorthern Ireland
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8
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Srinivasan K, Mazur A, Mony PK, Whooley M, Ekstrand ML. Improving mental health through integration with primary care in rural Karnataka: study protocol of a cluster randomized control trial. BMC FAMILY PRACTICE 2018; 19:158. [PMID: 30205830 PMCID: PMC6134696 DOI: 10.1186/s12875-018-0845-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 08/31/2018] [Indexed: 01/08/2023]
Abstract
BACKGROUND People who are diagnosed with both mental and chronic medical illness present unique challenges for the health care system. In resource-limited settings, such as rural India, people with depression and anxiety are often under-served, due to both stigma and lack of trained providers and resources. These challenges can lead to complications in the management of chronic disease as well as increased suffering for patients, families and communities. In this study, we evaluate the effects of integrating mental health and chronic disease treatment of patients in primary health care (PHC) settings using a collaborative care model to improve the screening, diagnosis and treatment of depression in rural India. METHODS This study is a multi-level randomized controlled trial among patients with depression or anxiety and co-morbid diabetes, or cardiovascular disease. Aim 1 examines whether patients screened at community health-fairs are more likely to be diagnosed and treated for these co-morbid conditions than patients screened after presenting at PHCs. Aim 2 evaluates the impact of collaborative care compared to usual care in a cluster RCT, randomizing at the level of the PHCs. Intervention arm PHC staff are trained in mental health diagnoses, treatment, and the collaborative care model. The intervention also involves community-based "Healthy Living groups" co-led by Ashas, using cognitive-behavioral strategies to promote healthy behaviors. The primary outcome is severity of common mental disorders, with secondary outcomes being diabetes and cardiovascular risk, staff knowledge and patient perceptions. DISCUSSION If effective, our results will contribute to the field in five ways: 1) expand on implementation research in low resource settings by examining how multiple chronic diseases can be treated using integrated low-cost, evidence-based strategies, 2) build the capacity of PHC staff to diagnose and treat mental illness within their existing clinic structure and strengthen referral linkages; 3) link community members to primary care through community-based health fairs and healthy living groups; 4) increase mental health awareness in the community and reduce mental health stigma; 5) demonstrate the potential for intervention scale-up and sustainability. TRIAL REGISTRATION http://Clinicaltrials.gov : NCT02310932 registered December 8, 2014 URL: https://clinicaltrials.gov/ct2/show/record/NCT02310932 ; Clinical Trials Registry India: CTRI/2018/04/013001 retrospectively registered on April 4, 2018.
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Affiliation(s)
- Krishnamachari Srinivasan
- Division of Mental Health and Neurosciences, St. John’s Research Institute, St. John’s National Academy of Health Sciences, Bangalore, Karnataka India
- Department of Psychiatry, St John’s Medical College Hospital, Bangalore, Karnataka India
| | - Amanda Mazur
- Division of Prevention Sciences, University of California, San Francisco, USA
| | - Prem K. Mony
- Division of Epidemiology and Community Health, St. John’s Medical College and Research Institute, St. John’s National Academy of Health Sciences, Bangalore, India
| | - Mary Whooley
- Division of Cardiology, University of California, San Francisco, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, CA USA
| | - Maria L. Ekstrand
- Division of Mental Health and Neurosciences, St. John’s Research Institute, St. John’s National Academy of Health Sciences, Bangalore, Karnataka India
- Division of Prevention Sciences, University of California, San Francisco, USA
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9
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Bruce ML, Sirey JA. Integrated Care for Depression in Older Primary Care Patients. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2018; 63:439-446. [PMID: 29495883 PMCID: PMC6099772 DOI: 10.1177/0706743718760292] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
For decades, depression in older adults was overlooked and not treated. Most treatment was by primary care providers and typically poorly managed. Recent interventions that integrate mental health services into primary care have increased the number of patients who are treated for depression and the quality of that treatment. The most effective models involve systematic depression screening and monitoring, multidisciplinary teams that include primary care providers and mental health specialists, a depression care manager to work directly with patients over time and the use of guideline-based depression treatment. The article reviews the challenges and opportunities for providing high-quality depression treatment in primary care; describes the 3 major integrated care interventions, PRISM-E, IMPACT, and PROSPECT; reviews the evidence of their effectiveness, and adaptations of the model for other conditions and settings; and explores strategies to increase their scalability into real world practice.
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Affiliation(s)
- Martha L. Bruce
- Dartmouth Centers for Health and Aging, Geisel School of Medicine, Hanover, NH, USA
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10
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Hasche LK, Lenze S, Brown T, Lawrence L, Nickel M, Morrow-Howell N, Proctor EK. Adapting collaborative depression care for public community long-term care: using research-practice partnerships. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2016; 41:687-96. [PMID: 24072560 DOI: 10.1007/s10488-013-0519-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
This manuscript details potential benefits for using a research-practice partnership to adapt collaborative depression care for public community long-term care agencies serving older adults. We used sequential, multi-phase, and mixed methods approaches for documenting the process of adaptation within a case study. Systematic adaptation strategies are described, such as leveraging long-term research-practice collaborations, consulting with multiple stakeholders across all levels and disciplines, and balancing demands to monitor treatment fidelity, clinical outcomes, and implementation results. These examples demonstrate that researchers interested in implementation science need skills to negotiate the competing demands that arise from both the research and practice settings.
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Affiliation(s)
- Leslie K Hasche
- Graduate School of Social Work, University of Denver, 2148 S. High Street, Denver, CO, 80208, USA,
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Eghaneyan BH, Sanchez K, Mitschke DB. Implementation of a collaborative care model for the treatment of depression and anxiety in a community health center: results from a qualitative case study. J Multidiscip Healthc 2014; 7:503-13. [PMID: 25395860 PMCID: PMC4226460 DOI: 10.2147/jmdh.s69821] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The collaborative care model is a systematic approach to the treatment of depression and anxiety in primary care settings that involves the integration of care managers and consultant psychiatrists, with primary care physician oversight, to more proactively manage mental disorders as chronic diseases, rather than treating acute symptoms. While collaborative care has been shown to be more effective than usual primary care in improving depression outcomes in a number of studies, less is known about the factors that support the translation of this evidence-based intervention to real-world program implementation. The purpose of this case study was to examine the implementation of a collaborative care model in a community based primary care clinic that primarily serves a low-income, uninsured Latino population, in order to better understand the interdisciplinary relationships and the specific elements that might facilitate broader implementation. METHODS An embedded single-case study design was chosen in order to thoroughly examine the components of one of several programs within a single organization. The main unit of analysis was semi-structured interviews that were conducted with seven clinical and administrative staff members. A grounded theory approach was used to analyze the interviews. Line-by-line initial coding resulted in over 150 initial codes, which were clustered together to rebuild the data into preliminary categories and then divided into four final categories, or main themes. RESULTS FOUR UNIQUE THEMES ABOUT HOW THE IMPLEMENTATION OF A COLLABORATIVE CARE MODEL WORKED IN THIS SETTING EMERGED FROM THE INTERVIEWS: organizational change, communication, processes and outcomes of the program, and barriers to implementation. Each main theme had a number of subthemes that provided a detailed description of the implementation process and how it was unique in this setting. CONCLUSION The results indicated that adequate training and preparation, acceptance and support from key personnel, communication barriers, tools for systematic follow-up and measurement, and organizational stability can significantly impact successful implementation. Further research is necessary to understand how organizational challenges may affect outcomes for patients.
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Affiliation(s)
| | - Katherine Sanchez
- School of Social Work, The University of Texas at Arlington, Arlington, TX, USA
| | - Diane B Mitschke
- School of Social Work, The University of Texas at Arlington, Arlington, TX, USA
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12
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Chambers DA, Glasgow RE, Stange KC. The dynamic sustainability framework: addressing the paradox of sustainment amid ongoing change. Implement Sci 2013; 8:117. [PMID: 24088228 PMCID: PMC3852739 DOI: 10.1186/1748-5908-8-117] [Citation(s) in RCA: 901] [Impact Index Per Article: 81.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2013] [Accepted: 09/20/2013] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Despite growth in implementation research, limited scientific attention has focused on understanding and improving sustainability of health interventions. Models of sustainability have been evolving to reflect challenges in the fit between intervention and context. DISCUSSION We examine the development of concepts of sustainability, and respond to two frequent assumptions -'voltage drop,' whereby interventions are expected to yield lower benefits as they move from efficacy to effectiveness to implementation and sustainability, and 'program drift,' whereby deviation from manualized protocols is assumed to decrease benefit. We posit that these assumptions limit opportunities to improve care, and instead argue for understanding the changing context of healthcare to continuously refine and improve interventions as they are sustained. Sustainability has evolved from being considered as the endgame of a translational research process to a suggested 'adaptation phase' that integrates and institutionalizes interventions within local organizational and cultural contexts. These recent approaches locate sustainability in the implementation phase of knowledge transfer, but still do not address intervention improvement as a central theme. We propose a Dynamic Sustainability Framework that involves: continued learning and problem solving, ongoing adaptation of interventions with a primary focus on fit between interventions and multi-level contexts, and expectations for ongoing improvement as opposed to diminishing outcomes over time. SUMMARY A Dynamic Sustainability Framework provides a foundation for research, policy and practice that supports development and testing of falsifiable hypotheses and continued learning to advance the implementation, transportability and impact of health services research.
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Affiliation(s)
- David A Chambers
- Division of Services and Intervention Research, National Institute of Mental Health, 6001 Executive Blvd, Rockville, MD, USA
| | - Russell E Glasgow
- Department of Family Medicine, University of Colorado School of Medicine, Denver, CO, USA
| | - Kurt C Stange
- Department of Family Medicine, Case Western Reserve University, Cleveland, OH, USA
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Vitiello MV, McCurry SM, Rybarczyk BD. The Future of Cognitive Behavioral Therapy for Insomnia: What Important Research Remains to Be Done? J Clin Psychol 2013; 69:1013-21. [DOI: 10.1002/jclp.21948] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Archer J, Bower P, Gilbody S, Lovell K, Richards D, Gask L, Dickens C, Coventry P. Collaborative care for depression and anxiety problems. Cochrane Database Syst Rev 2012; 10:CD006525. [PMID: 23076925 DOI: 10.1002/14651858.cd006525.pub2] [Citation(s) in RCA: 465] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Common mental health problems, such as depression and anxiety, are estimated to affect up to 15% of the UK population at any one time, and health care systems worldwide need to implement interventions to reduce the impact and burden of these conditions. Collaborative care is a complex intervention based on chronic disease management models that may be effective in the management of these common mental health problems. OBJECTIVES To assess the effectiveness of collaborative care for patients with depression or anxiety. SEARCH METHODS We searched the following databases to February 2012: The Cochrane Collaboration Depression, Anxiety and Neurosis Group (CCDAN) trials registers (CCDANCTR-References and CCDANCTR-Studies) which include relevant randomised controlled trials (RCTs) from MEDLINE (1950 to present), EMBASE (1974 to present), PsycINFO (1967 to present) and the Cochrane Central Register of Controlled Trials (CENTRAL, all years); the World Health Organization (WHO) trials portal (ICTRP); ClinicalTrials.gov; and CINAHL (to November 2010 only). We screened the reference lists of reports of all included studies and published systematic reviews for reports of additional studies. SELECTION CRITERIA Randomised controlled trials (RCTs) of collaborative care for participants of all ages with depression or anxiety. DATA COLLECTION AND ANALYSIS Two independent researchers extracted data using a standardised data extraction sheet. Two independent researchers made 'Risk of bias' assessments using criteria from The Cochrane Collaboration. We combined continuous measures of outcome using standardised mean differences (SMDs) with 95% confidence intervals (CIs). We combined dichotomous measures using risk ratios (RRs) with 95% CIs. Sensitivity analyses tested the robustness of the results. MAIN RESULTS We included seventy-nine RCTs (including 90 relevant comparisons) involving 24,308 participants in the review. Studies varied in terms of risk of bias.The results of primary analyses demonstrated significantly greater improvement in depression outcomes for adults with depression treated with the collaborative care model in the short-term (SMD -0.34, 95% CI -0.41 to -0.27; RR 1.32, 95% CI 1.22 to 1.43), medium-term (SMD -0.28, 95% CI -0.41 to -0.15; RR 1.31, 95% CI 1.17 to 1.48), and long-term (SMD -0.35, 95% CI -0.46 to -0.24; RR 1.29, 95% CI 1.18 to 1.41). However, these significant benefits were not demonstrated into the very long-term (RR 1.12, 95% CI 0.98 to 1.27).The results also demonstrated significantly greater improvement in anxiety outcomes for adults with anxiety treated with the collaborative care model in the short-term (SMD -0.30, 95% CI -0.44 to -0.17; RR 1.50, 95% CI 1.21 to 1.87), medium-term (SMD -0.33, 95% CI -0.47 to -0.19; RR 1.41, 95% CI 1.18 to 1.69), and long-term (SMD -0.20, 95% CI -0.34 to -0.06; RR 1.26, 95% CI 1.11 to 1.42). No comparisons examined the effects of the intervention on anxiety outcomes in the very long-term.There was evidence of benefit in secondary outcomes including medication use, mental health quality of life, and patient satisfaction, although there was less evidence of benefit in physical quality of life. AUTHORS' CONCLUSIONS Collaborative care is associated with significant improvement in depression and anxiety outcomes compared with usual care, and represents a useful addition to clinical pathways for adult patients with depression and anxiety.
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Affiliation(s)
- Janine Archer
- School of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK.
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Roberts RG, Gask L, Arndt B, Bower P, Dunbar J, van der Feltz-Cornelis CM, Gunn J, Anderson MIP. Depression and diabetes: the role and impact of models of health care systems. J Affect Disord 2012; 142 Suppl:S80-8. [PMID: 23062862 DOI: 10.1016/s0165-0327(12)70012-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
OBJECTIVES Depression and diabetes often occur together and their comorbidity has a significant and detrimental impact on health outcomes. The aims of this paper are to review the existing international literature on approaches to health care for comorbid depression and diabetes and draw out the key conclusions for both research and future development in health care delivery. METHODS Narrative review of the literature with synthesis by an international team of authors. RESULTS The synthesized findings are discussed under four main headings: specialty and generalist care; models for co-ordinating and integrating care; community approaches to service delivery; and the role of health policy. LIMITATIONS The review only included literature published in English. CONCLUSIONS Translating basic and clinical research findings into improved treatment and outcomes of those with depression and diabetes remains a substantial challenge. There is little research on the difficulties of identifying and implementing best practice into routine health care. Systems need to be designed so that evidence-based interventions are provided in a timely way, with appropriate professional expertise where required.
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Affiliation(s)
- Richard G Roberts
- University of Wisconsin School of Medicine & Public Health, Madison, WI 53715, USA
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Margolis KL, Solberg LI, Crain AL, Whitebird RR, Ohnsorg KA, Jaeckels N, Oftedahl G, Glasgow RE. Prevalence of practice system tools for improving depression care among primary care clinics: the DIAMOND initiative. J Gen Intern Med 2011; 26:999-1004. [PMID: 21598053 PMCID: PMC3157530 DOI: 10.1007/s11606-011-1739-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2010] [Revised: 12/17/2010] [Accepted: 04/19/2011] [Indexed: 11/25/2022]
Abstract
BACKGROUND Practice system tools improve chronic disease care, but are generally lacking for the care of depression in most primary care settings. OBJECTIVE To describe the frequency of various depression-related practice system tools among Minnesota primary care clinics interested in improving depression care. DESIGN Cross-sectional survey. PARTICIPANTS Physician leaders of 82 clinics in Minnesota. MAIN MEASURES A survey including practice systems recommended for care of depression and chronic conditions, each scored on a 100-point scale, and the clinic's priority for improving depression care on a 10-point scale. KEY RESULTS Fewer practice systems tools were present and functioning well for depression care (score = 24.4 [SD 1.6]) than for the care of chronic conditions in general (score = 43.9 [SD 1.6]), p < 0.001. The average priority for improving depression care was 5.8 (SD 2.3). There was not a significant correlation between the presence of practice systems for depression or chronic disease care and the priority for depression care except for a modest correlation with the depression Decision Support subscale (r = 0.29, p = 0.008). Certain staffing patterns, a metropolitan-area clinic location, and the presence of a fully functional electronic medical record were associated with the presence of more practice system tools. CONCLUSIONS Few practice system tools are in place for improving depression care in Minnesota primary care clinics, and these are less well-developed than general chronic disease practice systems. Future research should focus on demonstrating whether implementing these tools for depression care results in much-needed improvements in care for patients with depression.
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Affiliation(s)
- Karen L Margolis
- HealthPartners Research Foundation, 8170 33rd Avenue South, Minneapolis, MN 55425, USA.
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Bauer AM, Azzone V, Goldman HH, Alexander L, Unützer J, Coleman-Beattie B, Frank RG. Implementation of collaborative depression management at community-based primary care clinics: an evaluation. Psychiatr Serv 2011; 62:1047-53. [PMID: 21885583 PMCID: PMC3250309 DOI: 10.1176/appi.ps.62.9.1047] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE This study evaluated a large demonstration project of collaborative care of depression at community health centers by examining the role of clinic site on two measures of quality care (early follow-up and appropriate pharmacotherapy) and on improvement of symptoms (score on Patient Health Questionnaire-9 reduced by 50% or ≤ 5). METHODS A quasi-experimental study examined data on the treatment of 2,821 patients aged 18 and older with depression symptoms between 2006 and 2009 at six community health organizations selected in a competitive process to implement a model of collaborative care. The model's key elements were use of a Web-based disease registry to track patients, care management to support primary care providers and offer proactive follow-up of patients, and organized psychiatric consultation. RESULTS Across all sites, a plurality of patients achieved meaningful improvement in depression, and in many sites, improvement occurred rapidly. After adjustment for patient characteristics, multivariate logistic regression models revealed significant differences across clinics in the probability of receiving early follow-up (range .34-.88) or appropriate pharmacotherapy (range .27-.69) and in experiencing improvement (.36 to .84). Similarly, after adjustment for patient characteristics, Cox proportional hazards models revealed that time elapsed between first evaluation and the occurrence of improvement differed significantly across clinics (p<.001). CONCLUSIONS Despite receiving similar training and resources, organizations exhibited substantial variability in enacting change in clinical care systems, as evidenced by both quality indicators and outcomes. Sites that performed better on quality indicators had better outcomes, and the differences were not attributable to patients' characteristics.
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Affiliation(s)
- Amy M Bauer
- Department of Psychiatry and Behavioral Sciences, University of Washington, 1959 NE Pacific St, Box 356560, Seattle, WA 98195, USA.
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Callahan CM, Boustani MA, Weiner M, Beck RA, Livin LR, Kellams JJ, Willis DR, Hendrie HC. Implementing dementia care models in primary care settings: The Aging Brain Care Medical Home. Aging Ment Health 2011; 15:5-12. [PMID: 20945236 PMCID: PMC3030631 DOI: 10.1080/13607861003801052] [Citation(s) in RCA: 85] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVES The purpose of this article is to describe our experience in implementing a primary care-based dementia and depression care program focused on providing collaborative care for dementia and late-life depression. METHODS Capitalizing on the substantial interest in the US on the patient-centered medical home concept, the Aging Brain Care Medical Home targets older adults with dementia and/or late-life depression in the primary care setting. We describe a structured set of activities that laid the foundation for a new partnership with the primary care practice and the lessons learned in implementing this new care model. We also provide a description of the core components of this innovative memory care program. RESULTS Findings from three recent randomized clinical trials provided the rationale and basic components for implementing the new memory care program. We used the reflective adaptive process as a relationship building framework that recognizes primary care practices as complex adaptive systems. This framework allows for local adaptation of the protocols and procedures developed in the clinical trials. Tailored care for individual patients is facilitated through a care manager working in collaboration with a primary care physician and supported by specialists in a memory care clinic as well as by information technology resources. CONCLUSIONS We have successfully overcome many system-level barriers in implementing a collaborative care program for dementia and depression in primary care. Spontaneous adoption of new models of care is unlikely without specific attention to the complexities and resource constraints of health care systems.
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Affiliation(s)
- Christopher M. Callahan
- Indiana University Center for Aging Research, Indiana University School of Medicine, Indianapolis, Indiana, USA,Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA,Regenstrief Institute, Inc, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Malaz A. Boustani
- Indiana University Center for Aging Research, Indiana University School of Medicine, Indianapolis, Indiana, USA,Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA,Regenstrief Institute, Inc, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Michael Weiner
- Indiana University Center for Aging Research, Indiana University School of Medicine, Indianapolis, Indiana, USA,Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA,Regenstrief Institute, Inc, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Robin A. Beck
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Lee R. Livin
- Wishard Health Services, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Jeffrey J. Kellams
- Wishard Health Services, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Deanna R. Willis
- Department of Family Medicine, Indiana University School of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Hugh C. Hendrie
- Indiana University Center for Aging Research, Indiana University School of Medicine, Indianapolis, Indiana, USA,Regenstrief Institute, Inc, Indiana University School of Medicine, Indianapolis, Indiana, USA,Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
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Katon W, Unützer J, Wells K, Jones L. Collaborative depression care: history, evolution and ways to enhance dissemination and sustainability. Gen Hosp Psychiatry 2010; 32:456-64. [PMID: 20851265 PMCID: PMC3810032 DOI: 10.1016/j.genhosppsych.2010.04.001] [Citation(s) in RCA: 154] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2010] [Revised: 04/05/2010] [Accepted: 04/06/2010] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To describe the history and evolution of the collaborative depression care model and new research aimed at enhancing dissemination. METHOD Four keynote speakers from the 2009 NIMH Annual Mental Health Services Meeting collaborated in this article in order to describe the history and evolution of collaborative depression care, adaptation of collaborative care to new populations and medical settings, and optimal ways to enhance dissemination of this model. RESULTS Extensive evidence across 37 randomized trials has shown the effectiveness of collaborative care vs. usual primary care in enhancing quality of depression care and in improving depressive outcomes for up to 2 to 5 years. Collaborative care is currently being disseminated in large health care organizations such as the Veterans Administration and Kaiser Permanente, as well as in fee-for-services systems and federally funded clinic systems of care in multiple states. New adaptations of collaborative care are being tested in pediatric and ob-gyn populations as well as in populations of patients with multiple comorbid medical illnesses. New NIMH-funded research is also testing community-based participatory research approaches to collaborative care to attempt to decrease disparities of care in underserved minority populations. CONCLUSION Collaborative depression care has extensive research supporting the effectiveness of this model. New research and demonstration projects have focused on adapting this model to new populations and medical settings and on studying ways to optimally disseminate this approach to care, including developing financial models to incentivize dissemination and partnerships with community populations to enhance sustainability and to decrease disparities in quality of mental health care.
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Affiliation(s)
- Wayne Katon
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA.
| | - Jürgen Unützer
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Kenneth Wells
- Department of Psychiatry and Biobehavioral Sciences, UCLA Medical School, Los Angeles, CA 90095, USA
| | - Loretta Jones
- Charles R. Drew University of Medicine and Science, Los Angeles, CA 98059, USA
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System factors affect the recognition and management of posttraumatic stress disorder by primary care clinicians. Med Care 2009; 47:686-94. [PMID: 19433999 DOI: 10.1097/mlr.0b013e318190db5d] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Posttraumatic stress disorder (PTSD) is common with an estimated prevalence of 8% in the general population and up to 17% in primary care patients. Yet, little is known about what determines primary care clinician's (PCC's) provision of PTSD care. OBJECTIVE To describe PCC's reported recognition and management of PTSD and identify how system factors affect the likelihood of performing clinical actions with regard to patients with PTSD or "PTSD treatment proclivity." DESIGN Linked cross-sectional surveys of medical directors and PCCs. PARTICIPANTS Forty-six medical directors and 154 PCCs in community health centers (CHCs) within a practice-based research network in New York and New Jersey. MEASUREMENTS Two system factors (degree of integration between primary care and mental health services, and existence of linkages with other community, social, and legal services) as reported by medical directors, and PCC reports of self-confidence, perceived barriers, and PTSD treatment proclivity. RESULTS Surveys from 47 (of 58) medical directors (81% response rate) and 154 PCCs (86% response rate). PCCs from CHCs with better mental health integration reported greater confidence, fewer barriers, and higher PTSD treatment proclivity (all P < 0.05). The PCCs in CHCs with better community linkages reported greater confidence, fewer barriers, higher PTSD treatment proclivity, and lower proclivity to refer patients to mental health specialists or to use a "watch and wait" approach (all P < 0.05). CONCLUSIONS System factors play an important role in PCC PTSD management. Interventions are needed that restructure primary care practices by making mental health services more integrated and community linkages stronger.
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Abstract
BACKGROUND AND OBJECTIVE Adolescent depression is common, disabling, and is associated with academic, social, behavioral, and health consequences. Despite the availability of evidence-based depression care, few teens receive it, even when recognized by primary care clinicians. Perceived barriers such as teen worry about what others think or parent concerns about cost and access to care may contribute to low rates of care. We sought to better understand perceived barriers and their impact on service use. DESIGN After completing an eligibility and diagnostic telephone interview, all depressed teens and a matched sample of nondepressed teens recruited from 7 primary care practices were enrolled and completed telephone interviews at baseline and 6 months (August 2005-September 2006). PARTICIPANTS Three hundred sixty-eight adolescent patients aged 13 to 17 (184 depressed and 184 nondepressed) and 338 of their parents. MEASURES Perceived barriers to depression care and use of services for depression (psychotherapy and antidepressant medication). RESULTS Teens with depression were significantly more likely to perceive barriers to care compared with nondepressed teens. Parents were less likely to report barriers than their teens; perceived stigma and concern about family member response were among the significant teen barriers. Teen perceived barriers scores were negatively associated with any use of antidepressants (P < 0.01), use of antidepressants for at least 1 month (P < 0.001), and any psychotherapy or antidepressant use (P < 0.05) at 6 months. CONCLUSIONS To improve treatment for adolescent depression, interventions should address both teen and parent perceived barriers and primary care clinicians should elicit information from both adolescents and their parents.
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Unützer J. Evidence-based treatments for anxiety and depression: lost in translation? Depress Anxiety 2009; 25:726-9. [PMID: 18781657 DOI: 10.1002/da.20529] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Jürgen Unützer
- Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA
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DRAKE ROBERT, SKINNER JONATHAN, GOLDMAN HOWARDH. What explains the diffusion of treatments for mental illness? Am J Psychiatry 2008; 165:1385-92. [PMID: 18981070 PMCID: PMC2647364 DOI: 10.1176/appi.ajp.2008.08030334] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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IJff MA, Huijbregts KML, van Marwijk HWJ, Beekman ATF, Hakkaart-van Roijen L, Rutten FF, Unützer J, van der Feltz-Cornelis CM. Cost-effectiveness of collaborative care including PST and an antidepressant treatment algorithm for the treatment of major depressive disorder in primary care; a randomised clinical trial. BMC Health Serv Res 2007; 7:34. [PMID: 17331237 PMCID: PMC1817647 DOI: 10.1186/1472-6963-7-34] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2006] [Accepted: 03/01/2007] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Depressive disorder is currently one of the most burdensome disorders worldwide. Evidence-based treatments for depressive disorder are already available, but these are used insufficiently, and with less positive results than possible. Earlier research in the USA has shown good results in the treatment of depressive disorder based on a collaborative care approach with Problem Solving Treatment and an antidepressant treatment algorithm, and research in the UK has also shown good results with Problem Solving Treatment. These treatment strategies may also work very well in the Netherlands too, even though health care systems differ between countries. METHODS/DESIGN This study is a two-armed randomised clinical trial, with randomization on patient-level. The aim of the trial is to evaluate the treatment of depressive disorder in primary care in the Netherlands by means of an adapted collaborative care framework, including contracting and adherence-improving strategies, combined with Problem Solving Treatment and antidepressant medication according to a treatment algorithm. Forty general practices will be randomised to either the intervention group or the control group. Included will be patients who are diagnosed with moderate to severe depression, based on DSM-IV criteria, and stratified according to comorbid chronic physical illness. Patients in the intervention group will receive treatment based on the collaborative care approach, and patients in the control group will receive care as usual. Baseline measurements and follow up measures (3, 6, 9 and 12 months) are assessed using questionnaires and an interview. The primary outcome measure is severity of depressive symptoms, according to the PHQ9. Secondary outcome measures are remission as measured with the PHQ9 and the IDS-SR, and cost-effectiveness measured with the TiC-P, the EQ-5D and the SF-36. DISCUSSION In this study, an American model to enhance care for patients with a depressive disorder, the collaborative care model, will be evaluated for effectiveness in the primary care setting. If effective across the Atlantic and across different health care systems, it is also likely to be an effective strategy to implement in the treatment of major depressive disorder in the Netherlands.
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Affiliation(s)
- Marjoliek A IJff
- Program Diagnosis and Treatment, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
- Institute for Research in Extramural Medicine, VU Medical Centre, Amsterdam, The Netherlands
| | - Klaas ML Huijbregts
- Program Diagnosis and Treatment, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
- Institute for Research in Extramural Medicine, VU Medical Centre, Amsterdam, The Netherlands
| | - Harm WJ van Marwijk
- Institute for Research in Extramural Medicine, VU Medical Centre, Amsterdam, The Netherlands
- Department of General Practice, VU Medical Centre, Amsterdam, The Netherlands
| | - Aartjan TF Beekman
- Program Diagnosis and Treatment, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
- Institute for Research in Extramural Medicine, VU Medical Centre, Amsterdam, The Netherlands
- Department of Psychiatry, VU Medical Centre, Amsterdam, The Netherlands
| | | | - Frans F Rutten
- Institute for Medical Technology Assessment, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Jürgen Unützer
- Center for Health Services Research, UCLA Neuropsychiatric Institute, Los Angeles, California, USA
| | - Christina M van der Feltz-Cornelis
- Program Diagnosis and Treatment, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
- Institute for Research in Extramural Medicine, VU Medical Centre, Amsterdam, The Netherlands
- Department of Psychiatry, VU Medical Centre, Amsterdam, The Netherlands
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Vannoy S, Powers D, Unützer J. Models of care for treating late-life depression in primary care. ACTA ACUST UNITED AC 2007. [DOI: 10.2217/1745509x.3.1.67] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The aim of this review is to highlight the need for treating late-life depression in primary care settings, review obstacles to doing so and introduce evidence-based models of depression care for older primary care patients. While interventions focusing on depression screening, provider education and referral to mental health specialists have had only limited success, several recent trials have demonstrated that programs in which primary care providers and mental health professionals effectively collaborate to treat depression using evidence-based treatment algorithms are more effective than usual care. Future research should address the problem of persistent depression, which has been identified in recent collaborative care studies, and focus on how to translate evidence-based approaches for late-life depression treatment into real world practice.
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Affiliation(s)
- Steven Vannoy
- University of Washington, School of Medicine, Department of Psychiatry and Behavioral Sciences, 1959 NE Pacific St, BOX 356560, Seattle, WA 98195–6560, USA
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Katon WJ, Zatzick D, Bond G, Williams J. Dissemination of evidence-based mental health interventions: importance to the trauma field. J Trauma Stress 2006; 19:611-23. [PMID: 17075915 DOI: 10.1002/jts.20147] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Randomized controlled trials have established the efficacy of psychotherapy and medication treatments for posttraumatic stress disorder (PTSD). Despite these advancements, many individuals do not receive guideline-concordant PTSD care. In an effort to advance dissemination of evidence-based PTSD treatments, the authors review several examples of dissemination efforts of mental health interventions. The first examples describe the dissemination of multifaceted collaborative care interventions for patients with depressive disorders and evidence-based interventions for patients with severe mental illness. The final example explores evolving efforts to adapt and disseminate interventions to acutely injured trauma survivors. For each example, the authors describe the problem with prior clinical approaches, the program to be disseminated, the barriers and levers to implementation and the progress in overcoming these barriers.
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Affiliation(s)
- Wayne J Katon
- Department of Psychiatry & Behavioral Sciences, University of Washington School of Medicine, Seattle, WA 98195-6560, USA.
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Katon WJ, Unützer J. Pebbles in a pond: NIMH grants stimulate improvements in primary care treatment of depression. Gen Hosp Psychiatry 2006; 28:185-8. [PMID: 16675360 DOI: 10.1016/j.genhosppsych.2006.01.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2005] [Revised: 01/26/2006] [Accepted: 01/26/2006] [Indexed: 11/26/2022]
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Affiliation(s)
- Stephen J Bartels
- New Hampshire-Dartmouth Psychiatric Research Center, 2 Whipple Place, Suite 202, Lebanon, NH 03755, USA.
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