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Krishnamoorthy S, Armstrong G, Ross V, Mathieu S, Kõlves K. The Role of Contextual Determinants in Implementation of Complex Suicide Prevention Interventions: An Application of the Exploration, Preparation, Implementation and Sustainment (EPIS) Framework. Int J Health Plann Manage 2025; 40:655-671. [PMID: 39949278 PMCID: PMC12045767 DOI: 10.1002/hpm.3911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 12/31/2024] [Accepted: 02/03/2025] [Indexed: 05/03/2025] Open
Abstract
INTRODUCTION Prevention of suicidal behaviour is complex, and a host of effective interventions have now been recognised in addressing this concern. However, adoption, delivery, and sustainment of these interventions within real-life settings is challenging; and the translation process, often overlooked. Examining the impact of context is necessary to explain how implementation outcomes are achieved and aid generalisability of findings. This study aims to explore factors influencing implementation outcomes (contextual determinants) across the implementation lifecycle of complex suicide prevention interventions. METHODS A qualitative design was adopted. Semi structured interviews were conducted with 16 stakeholders (leaders, project managers/implementors, lived experience advocates) involved in implementation of complex suicide prevention interventions across the world. A purposive and snowball sampling approach was used to identify participants with requisite experiences. An understanding of determinants was deduced from participant narratives. These were mapped using the Exploration, Preparation, Implementation and Sustainment (EPIS) framework. RESULTS Across different phases of implementation, outer context barriers were predominantly reported and pertained to service environmental factors, pre-existing dynamics, and engaging leadership. Several inner context barriers including individual characteristics, staffing and resources, and challenges in maintaining fidelity were reported during the implementation phase. Bridging factors (such as interrelationships and partnerships) were identified as important facilitators throughout different phases of implementation and levels of context. Implementation strategies related to stakeholder relationship building were prioritised across different phases of implementation. CONCLUSION This study helps expand the notion of an evidence-base for complex suicide prevention interventions. Determinants salient across different levels of the social-ecology and phases of implementation address questions related to what works and under what circumstances.
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Affiliation(s)
- Sadhvi Krishnamoorthy
- Australian Institute for Suicide Research and PreventionWorld Health Organization Collaborating Centre for Research and Training in Suicide PreventionSchool of Applied PsychologyGriffith UniversityMount GravattAustralia
| | - Gregory Armstrong
- Nossal Institute for Global HealthMelbourne School of Population and Global HealthUniversity of MelbourneMelbourneAustralia
| | - Victoria Ross
- Australian Institute for Suicide Research and PreventionWorld Health Organization Collaborating Centre for Research and Training in Suicide PreventionSchool of Applied PsychologyGriffith UniversityMount GravattAustralia
| | - Sharna Mathieu
- Australian Institute for Suicide Research and PreventionWorld Health Organization Collaborating Centre for Research and Training in Suicide PreventionSchool of Applied PsychologyGriffith UniversityMount GravattAustralia
| | - Kairi Kõlves
- Australian Institute for Suicide Research and PreventionWorld Health Organization Collaborating Centre for Research and Training in Suicide PreventionSchool of Applied PsychologyGriffith UniversityMount GravattAustralia
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Finley EP, Frankfurt SB, Kamdar N, Goodrich DE, Ganss E, Chen CJ, Eickhoff C, Krauss A, Connelly B, Seim RW, Goodman M, Geraci J. Partnership building for scale-up in the Veteran Sponsorship Initiative: Strategies for harnessing collaboration to accelerate impact in suicide prevention. Health Serv Res 2024; 59 Suppl 2:e14309. [PMID: 38689547 PMCID: PMC11540573 DOI: 10.1111/1475-6773.14309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024] Open
Abstract
OBJECTIVE To evaluate the implementation and trust-building strategies associated with successful partnership formation in scale-up of the Veteran Sponsorship Initiative (VSI), an evidence-based suicide prevention intervention enhancing connection to U.S. Department of Veterans Affairs (VA) and other resources during the military-to-civilian transition period. DATA SOURCES AND STUDY SETTING Scaling VSI nationally required establishing partnerships across VA, the U.S. Department of Defense (DoD), and diverse public and private Veteran-serving organizations. We assessed partnerships formalized with a signed memorandum during pre- and early implementation periods (October 2020-October 2022). To capture implementation activities, we conducted 39 periodic reflections with implementation team members over the same period. STUDY DESIGN We conducted a qualitative case study evaluating the number of formalized VSI partnerships alongside directed qualitative content analysis of periodic reflections data using Atlas.ti 22.0. DATA COLLECTION/EXTRACTION METHODS We first independently coded reflections for implementation strategies, following the Expert Recommendations for Implementing Change (ERIC) taxonomy, and for trust-building strategies, following the Theoretical Model for Trusting Relationships and Implementation; a second round of inductive coding explored emergent themes associated with partnership formation. PRINCIPAL FINDINGS During this period, VSI established 12 active partnerships with public and non-profit agencies. The VSI team reported using 35 ERIC implementation strategies, including building a coalition and developing educational and procedural documents, and trust-building strategies including demonstrating competence and credibility, frequent interactions, and responsiveness. Cultural competence in navigating DoD and VA and accepting and persisting through conflict also appeared to support scale-up. CONCLUSIONS VSI's partnership-formation efforts leveraged a variety of implementation strategies, particularly around strengthening stakeholder interrelationships and refining procedures for coordination and communication. VSI implementation activities were further characterized by an intentional focus on trust-building over time. VSI's rapid scale-up highlights the value of partnership formation for achieving coordinated interventions to address complex problems.
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Affiliation(s)
- Erin P. Finley
- Center for the Study of Healthcare Innovation, Implementation, and PolicyVA Greater Los Angeles Healthcare SystemLos AngelesCaliforniaUSA
- Long School of MedicineUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Sheila B. Frankfurt
- VISN 17 Center of Excellence (CoE) on Research for Returning War VeteransWacoTexasUSA
- Central Texas Veterans Health Care SystemTempleTexasUSA
| | - Nipa Kamdar
- Center for Innovations in Quality, Effectiveness and SafetyMichael E. DeBakey VA Medical CenterHoustonTexasUSA
| | - David E. Goodrich
- Center for Health Equity Research and PromotionVA Pittsburgh Healthcare SystemPittsburghPennsylvaniaUSA
- Transitioning Servicemember and Suicide Prevention Center (TASC)VISN 2 Mental Illness Research, Education and Clinical CenterNew YorkNew YorkUSA
| | - Elyse Ganss
- Transitioning Servicemember and Suicide Prevention Center (TASC)VISN 2 Mental Illness Research, Education and Clinical CenterNew YorkNew YorkUSA
- Teacher's CollegeColumbia UniversityNew YorkNew YorkUSA
| | - Chien J. Chen
- Veterans Health Administration National Center for Healthcare Advancement and PartnershipsWashingtonDCUSA
| | - Christine Eickhoff
- Veterans Health Administration National Center for Healthcare Advancement and PartnershipsWashingtonDCUSA
| | - Alison Krauss
- VISN 17 Center of Excellence (CoE) on Research for Returning War VeteransWacoTexasUSA
- Central Texas Veterans Health Care SystemTempleTexasUSA
| | - Brigid Connelly
- Transitioning Servicemember and Suicide Prevention Center (TASC)VISN 2 Mental Illness Research, Education and Clinical CenterNew YorkNew YorkUSA
- Teacher's CollegeColumbia UniversityNew YorkNew YorkUSA
- Denver Center of Innovation for Veteran‐Centered and Value‐Driven CareVA Eastern Colorado Health Care SystemAuroraColoradoUSA
| | - Richard W. Seim
- VISN 17 Center of Excellence (CoE) on Research for Returning War VeteransWacoTexasUSA
- Central Texas Veterans Health Care SystemTempleTexasUSA
| | - Marianne Goodman
- Transitioning Servicemember and Suicide Prevention Center (TASC)VISN 2 Mental Illness Research, Education and Clinical CenterNew YorkNew YorkUSA
| | - Joseph Geraci
- VISN 17 Center of Excellence (CoE) on Research for Returning War VeteransWacoTexasUSA
- Transitioning Servicemember and Suicide Prevention Center (TASC)VISN 2 Mental Illness Research, Education and Clinical CenterNew YorkNew YorkUSA
- Teacher's CollegeColumbia UniversityNew YorkNew YorkUSA
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Reisinger HS, Barron S, Balkenende E, Steffen M, Steffensmeier K, Richards C, Ball D, Chasco EE, Van Tiem J, Johnson NL, Jones D, Friberg JE, Kenney R, Moeckli J, Arora K, Rabin B. Tracking implementation strategies in real-world settings: VA Office of Rural Health enterprise-wide initiative portfolio. Health Serv Res 2024; 59 Suppl 2:e14377. [PMID: 39225446 PMCID: PMC11540587 DOI: 10.1111/1475-6773.14377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024] Open
Abstract
OBJECTIVE To use a practical approach to examining the use of Expert Recommendations for Implementing Change (ERIC) strategies by Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) dimensions for rural health innovations using annual reports on a diverse array of initiatives. DATA SOURCES AND STUDY SETTING The Veterans Affairs (VA) Office of Rural Health (ORH) funds initiatives designed to support the implementation and spread of innovations and evidence-based programs and practices to improve the health of rural Veterans. This study draws on the annual evaluation reports submitted for fiscal years 2020-2022 from 30 of these enterprise-wide initiatives (EWIs). STUDY DESIGN Content analysis was guided by the RE-AIM framework conducted by the Center for the Evaluation of Enterprise-Wide Initiatives (CEEWI), a Quality Enhancement Research Initiative (QUERI)-ORH partnered evaluation initiative. DATA COLLECTION AND EXTRACTION METHODS CEEWI analysts conducted a content analysis of EWI annual evaluation reports submitted to ORH. Analysis included cataloguing reported implementation strategies by Reach, Adoption, Implementation, and Maintenance (RE-AIM) dimensions (i.e., identifying strategies that were used to support each dimension) and labeling strategies using ERIC taxonomy. Descriptive statistics were conducted to summarize data. PRINCIPAL FINDINGS A total of 875 implementation strategies were catalogued in 73 reports. Across these strategies, 66 unique ERIC strategies were reported. EWIs applied an average of 12 implementation strategies (range 3-22). The top three ERIC clusters across all 3 years were Develop stakeholder relationships (21%), Use evaluative/iterative strategies (20%), and Train/educate stakeholders (19%). Most strategies were reported within the Implementation dimension. Strategy use among EWIs meeting the rurality benchmark were also compared. CONCLUSIONS Combining the dimensions from the RE-AIM framework and the ERIC strategies allows for understanding the use of implementation strategies across each RE-AIM dimension. This analysis will support ORH efforts to spread and sustain rural health innovations and evidence-based programs and practices through targeted implementation strategies.
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Affiliation(s)
- Heather Schacht Reisinger
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
- Division of General Internal Medicine, Department of Internal Medicine, Carver College of MedicineUniversity of IowaIowa CityIowaUSA
- Institute for Clinical and Translational ScienceUniversity of IowaIowa CityIowaUSA
| | - Sheila Barron
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
| | - Erin Balkenende
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
- Division of General Internal Medicine, Department of Internal Medicine, Carver College of MedicineUniversity of IowaIowa CityIowaUSA
| | - Melissa Steffen
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
| | - Kenda Steffensmeier
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
| | - Chris Richards
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
| | - Dan Ball
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
| | - Emily E. Chasco
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
- Institute for Clinical and Translational ScienceUniversity of IowaIowa CityIowaUSA
| | - Jennifer Van Tiem
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
| | - Nicole L. Johnson
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
| | - DeShauna Jones
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
- Institute for Clinical and Translational ScienceUniversity of IowaIowa CityIowaUSA
| | - Julia E. Friberg
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
| | - Rachael Kenney
- Seattle‐Denver Center of Innovation (COIN)Eastern Colorado VA Healthcare SystemAuroraColoradoUSA
| | - Jane Moeckli
- Center for Access and Delivery Research and EvaluationIowa City VA Healthcare SystemIowa CityIowaUSA
| | - Kanika Arora
- Department of Health Management and Policy, College of Public HealthUniversity of IowaIowa CityIowaUSA
| | - Borsika Rabin
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of California San DiegoLa JollaCaliforniaUSA
- UC San Diego ACTRI Dissemination and Implementation Science CenterUniversity of California San DiegoLa JollaCaliforniaUSA
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Van Houtven CH, Decosimo K, Drake C, Bruening R, Sperber NR, Dadolf J, Tucker M, Coffman CJ, Grubber JM, Stechuchak KM, Kota S, Christensen L, Colón‐Emeric C, Jackson GL, Franzosa E, Zullig LL, Allen KD, Hastings SN, Wang V. Implementation outcomes from a multi-site stepped wedge cluster randomized family caregiver skills training trial. Health Serv Res 2024; 59:e14361. [PMID: 39118405 PMCID: PMC11622292 DOI: 10.1111/1475-6773.14361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2024] Open
Abstract
OBJECTIVE To assess whether a team collaboration strategy (CONNECT) improves implementation outcomes of a family caregiver skills training program (iHI-FIVES). DATA SOURCES AND STUDY SETTING iHI-FIVES was delivered to caregivers at eight Veterans Affairs (VA) medical centers. Data sources were electronic health records, staff surveys, and interviews. STUDY DESIGN In a stepped wedge cluster randomized trial, sites were randomized to a 6-month time interval start date for iHI-FIVES launch. Sites were then randomized 1:1 to either (i) CONNECT, a team collaboration training strategy plus Replicating Effective Programs (REP), brief technical support training for staff, or (ii) REP only (non-CONNECT arm). Implementation outcomes included reach (proportion of eligible caregivers enrolled) and fidelity (proportion of expected trainings delivered). Staff interviews and surveys assessed team function including communication, implementation experience, and their relation to CONNECT and iHI-FIVES implementation outcomes. DATA COLLECTION/EXTRACTION METHODS The sample for assessing implementation outcomes included 571 Veterans referred to VA home- and community-based services and their family caregivers eligible for iHI-FIVES. Prior to iHI-FIVES launch, staff completed 65 surveys and 62 interviews. After the start of iHI-FIVES, staff completed 52 surveys and 38 interviews. Mixed methods evaluated reach and fidelity by arm. PRINCIPAL FINDINGS Fidelity was high overall with 88% of expected iHI-FIVES trainings delivered, and higher among REP only (non-CONNECT) compared with CONNECT sites (95% vs. 80%). Reach was 18% (average proportion of reach across eight sites) and higher among non-CONNECT compared with CONNECT sites (22% vs. 14%). Qualitative interviews revealed strong leadership support at high-reach sites. CONNECT did not influence self-reported team function. CONCLUSIONS A team collaboration strategy (CONNECT), added to REP, required more resources to implement iHI-FIVES than REP only and did not substantially enhance reach or fidelity. Leadership support was a key condition of implementation success and may be an important factor for improving iHI-FIVES reach with national expansion.
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Affiliation(s)
- Courtney Harold Van Houtven
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
- Margolis Institute for Health PolicyDuke UniversityDurhamNorth CarolinaUSA
| | - Kasey Decosimo
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
| | - Connor Drake
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Rebecca Bruening
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
| | - Nina R. Sperber
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Joshua Dadolf
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
| | - Matthew Tucker
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
| | - Cynthia J. Coffman
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Department of Biostatistics and BioinformaticsDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Janet M. Grubber
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- VA Boston Healthcare SystemCooperative Studies Program Coordinating CenterBostonMassachusettsUSA
| | - Karen M. Stechuchak
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
| | - Swetha Kota
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
| | | | - Cathleen Colón‐Emeric
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Geriatric Research, Education, and Clinical CenterDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Center for the Study of Aging and Human DevelopmentDuke University School of MedicineDurhamNorth CarolinaUSA
- Division of Geriatrics, Department of MedicineDuke University School of MedicineDurhamNorth CarolinaUSA
| | - George L. Jackson
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Peter O'Donnell Jr. School of Public HealthUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Emily Franzosa
- Geriatric Research, Education and Clinical CenterJames J. Peters VA Medical CenterBronxNew YorkUSA
- Brookdale Department of Geriatrics and Palliative MedicineIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Leah L. Zullig
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Kelli D. Allen
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Department of Medicine & Thurston Arthritis Research CenterUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Susan N. Hastings
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
- Geriatric Research, Education, and Clinical CenterDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Center for the Study of Aging and Human DevelopmentDuke University School of MedicineDurhamNorth CarolinaUSA
- Division of Geriatrics, Department of MedicineDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Virginia Wang
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham VA Health Care SystemDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
- Margolis Institute for Health PolicyDuke UniversityDurhamNorth CarolinaUSA
- Division of General Internal Medicine, Department of MedicineDuke University School of MedicineDurhamNorth CarolinaUSA
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Touchett H, Arredondo K, Hines-Munson C, Poon I, Holmes SA, Trautner BW, Skelton F. Test Smart, Treat Smart-using clinician feedback to adapt a catheter-associated urinary tract infection intervention for spinal cord injury. PM R 2024. [PMID: 39503324 DOI: 10.1002/pmrj.13279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/03/2024] [Accepted: 08/23/2024] [Indexed: 11/08/2024]
Abstract
BACKGROUND Catheter-associated urinary tract infection (CAUTI) prevention is a major target for hospital quality metrics because it is linked to increased morbidity, mortality, and health care costs. Health care systems use strict protocols surrounding catheterization and maintenance, which often disregard the clinical needs of special populations (eg, spinal cord injury [SCI]). However, for populations that rely on chronic instrumentation of the bladder, asymptomatic (ie, nonpathogenic) bacterial colonization in the bladder is common but not linked to adverse outcomes. Additionally, alterations in neurologic and sensory function after SCI make it difficult for clinicians to discern asymptomatic bacteriuria from acute urinary tract infection requiring antibiotics. Institutional policies for screening urine during SCI annual exams often lead to detection of bacteriuria but create a clinical decision-making challenge when determining whether antibiotic treatment is appropriate. OBJECTIVE To conduct preimplementation SCI-focused adaptations to the evidence-based practice (EBP) "Kicking CAUTI"-to develop a guide for SCI providers surrounding testing and treatment of CAUTI. METHODS Four 1-hour focus groups were conducted with SCI clinicians (prescribers and nursing staff) to assess insights on needed modifications to adapt Kicking CAUTI for SCI. The Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS) was used to plan and report adaptations in this work and the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework to guide adaptation of the EBP for the SCI population. Content and thematic analysis guided our process. RESULTS The clinical algorithm was simplified, a urinary symptom assessment added, and provider- and patient-facing educational materials were developed to support implementation efforts to create the Test Smart Treat Smart Intervention. CONCLUSIONS Traditional CAUTI protocols do not adequately address the needs of those with SCI and modifications are needed. Provider feedback provides valuable insights when adapting population appropriate interventions.
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Affiliation(s)
- Hilary Touchett
- Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas, USA
- Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
- South Central Mental Illness Research, Education, Clinical Center, a Virtual Center, North Little Rock, Arkansas, USA
| | - Kelley Arredondo
- Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas, USA
- Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
- South Central Mental Illness Research, Education, Clinical Center, a Virtual Center, North Little Rock, Arkansas, USA
- VHA Office of Rural Health's Veterans Resource Center in White River Junction, White River Junction, Vermont, USA
| | - Casey Hines-Munson
- Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas, USA
| | - Ivy Poon
- Department of Pharmacy Practice, Texas Southern University, Houston, Texas, USA
| | - Sally Ann Holmes
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
| | - Barbara W Trautner
- Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas, USA
- Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Felicia Skelton
- Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas, USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
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Chays-Amania A, Schwingrouber J, Colson S. Using Implementation Science to Implement Evidence-Based Practice: A Discursive Paper. J Adv Nurs 2024. [PMID: 39431403 DOI: 10.1111/jan.16571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 09/23/2024] [Accepted: 10/08/2024] [Indexed: 10/22/2024]
Abstract
AIM The purpose of this manuscript is to offer an overview of knowledge regarding Evidence-Based Practice and implementation science. It addresses the question: What are the EBP implementation models used in nursing settings? DESIGN Discursive paper. METHODS The databases were searched with the following keywords: 'Nursing Faculty', 'Nurse educator', 'Academic', 'clinic', 'Evidence-based implementation', 'evidence-based practice', 'implementation', 'implementation science', 'undergraduate', 'nurse'. The search strategy aims to identify published studies. Eight databases were searched. RESULTS There are specific implementation models for implementing EBP: the IOWA Model, the Stetler Model, the Johns Hopkins Nursing Evidence-Based Practice Model, the Stevens Star Model, the Promoting Action on Research Implementation in Health Services (PARIHS), the Advancing Research and Clinical practice through close collaboration (ARCC) model. They were analysed according to the Nilsen classification. An evidence-based implementation project must be structured. First, it is necessary to choose an implementation model, then identify one or more implementation strategies, and finally, plan evaluation for implementation outcome. The use of implementation science ensures successful implementation or at least highlights barriers that need adjustment. Effective utilisation of implementation science facilitates the transfer of obtained results to similar contexts. CONCLUSION Implementation science complements the EBP process perfectly and ensures the proper implementation of evidence. IMPLICATION FOR THE PROFESSION EBP mentors now have the entire structure of implementation science to succeed in implementing evidence-based data in both academic and clinical settings. IMPACT The discursive paper addresses the difficulties of implementing evidence in academic or clinical settings. Implementation science is the bridge between evidence and practice. Nurses now have everything they need to implement evidence-based practice successfully. NO PATIENT OR PUBLIC CONTRIBUTION There was no patient or public involvement in the design or writing of this discursive article.
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Affiliation(s)
- Audrey Chays-Amania
- Aix-Marseille Université, Faculté des Sciences Médicales et Paramédicales, Nursing School, CEReSS, Marseille, France
| | - Jocelyn Schwingrouber
- Aix-Marseille Université, Faculté des Sciences Médicales et Paramédicales, Nursing School, CEReSS, Marseille, France
| | - Sébastien Colson
- Aix-Marseille Université, Faculté des Sciences Médicales et Paramédicales, Nursing School, CEReSS, APHM, Marseille, France
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Younas A, Fàbregues S. Particularity, Engagement, Actionable Inferences, Reflexivity, and Legitimation tool for rigor in mixed methods implementation research. J Nurs Scholarsh 2024; 56:705-717. [PMID: 38691344 DOI: 10.1111/jnu.12977] [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: 02/18/2024] [Revised: 04/08/2024] [Accepted: 04/17/2024] [Indexed: 05/03/2024]
Abstract
BACKGROUND Implementation science helps generate approaches to expedite the uptake of evidence in practice. Mixed methods are commonly used in implementation research because they allow researchers to integrate distinct qualitative and quantitative methods and data sets to unravel the implementation process and context and design contextual tools for optimizing the implementation. To date, there has been limited discussion on how to ensure rigor in mixed methods implementation research. PURPOSE To present Particularity, Engagement, Actionable Inferences, Reflexivity, and Legitimation (PEARL) as a practical tool for understanding various components of rigor in mixed methods implementation research. DATA SOURCES This methodological discussion is based on a nurse-led mixed methods implementation study. The PEARL tool was developed based on an interpretive, critical reflection, and purposive reading of selected literature sources drawn from the researchers' knowledge, experiences of designing and conducting mixed methods implementation research, and published methodological papers about mixed methods, implementation science, and research rigor. CONCLUSION An exemplar exploratory sequential mixed methods study in nursing is provided to illustrate the application of the PEARL tool. The proposed tool can be a useful and innovative tool for researchers and students intending to use mixed methods in implementation research. The tool offers a straightforward approach to learning the key rigor components of mixed methods implementation research for application in designing and conducting implementation research using mixed methods. CLINICAL RELEVANCE Rigorous implementation research is critical for effective uptake of innovations and evidence-based knowledge into practice and policymaking. The proposed tool can be used as the means to establish rigor in mixed methods implementation research in nursing and health sciences.
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Affiliation(s)
- Ahtisham Younas
- Faculty of Nursing, Memorial University of Newfoundland, St. John's, Newfoundland, Canada
| | - Sergi Fàbregues
- Department of Psychology and Education, Universitat Oberta de Catalunya, Barcelona, Spain
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Tierney-Hendricks C, Schliep ME, Sun M, Gochyyev P, Carter C. Using the RE-AIM and TDF frameworks to evaluate the implementation of a standardized cognitive assessment protocol in outpatient rehabilitation. PM R 2024. [PMID: 39158202 DOI: 10.1002/pmrj.13250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 06/05/2024] [Accepted: 06/17/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND Impairments in cognition significantly affect patient functioning and rehabilitation outcomes. Assessment is essential to identifying at-risk individuals and guiding care plans. OBJECTIVE A cognitive assessment protocol was implemented in occupational therapy (OT) and speech-language pathology (SLP) outpatient practice. Using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework and Theoretical Domains Framework (TDF), this study (1) measured the reach and adoption of the cognitive assessment protocol and (2) explored determinants and strategies that may affect adoption. DESIGN Sequential mixed methods. SETTING Two outpatient rehabilitation clinics (A and B) within a health care network. PARTICIPANTS Medical records from 220 adult patients with neurologic diagnosis and 15 OT and SLP clinicians. INTERVENTIONS Cognitive assessment protocol. MAIN OUTCOME MEASURE(S) Reach of the assessment protocol across patient characteristics and adoption across clinical sites were measured quantitatively via retrospective electronic medical records review. Qualitative data on effectiveness and the implementation process were collected via clinician focus groups. RESULTS Protocol adoption rates were 71% and 54% at clinics A and B, respectively. Site B OT was more likely to be noncompliant with protocol adoption compared to Site A, when controlling for patient characteristics, (81% vs. 16%, respectively; odds ratio = 11.4, 95% confidence interval [3.36-38.64], p ≤ .001). Patient age was a significant factor for protocol reach; older age was associated with noncompliance of the SLP protocol adoption, p < .05. Both sites employed implementation strategies targeting the provider level (eg, education/training); Site A additionally included organization-level strategies (eg, leadership engagement). In the absence of organization-level strategies, OT and SLP clinicians at Site B identified barriers related to leadership support, resources, and workflow. CONCLUSIONS Standardized practice protocols are feasible to implement within the rehabilitation setting, though multilevel implementation strategies may be needed to promote adoption. Aligning practices with the needs, values and priorities of the organization, providers, and patients and families is imperative.
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Affiliation(s)
| | - Megan E Schliep
- Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA
- MGH Institute of Health Professions, Boston, Massachusetts, USA
| | - Minsi Sun
- MGH Institute of Health Professions, Boston, Massachusetts, USA
| | - Perman Gochyyev
- MGH Institute of Health Professions, Boston, Massachusetts, USA
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9
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Heidke P, Duff J, Keogh S, Munday J. Barriers and facilitators to evidence-based perioperative hypothermia management for orthopaedic patients: A systematic review. J Clin Nurs 2024; 33:3329-3354. [PMID: 39020519 DOI: 10.1111/jocn.17338] [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: 05/19/2023] [Revised: 04/30/2024] [Accepted: 06/03/2024] [Indexed: 07/19/2024]
Abstract
AIM To assess barriers and facilitators to the implementation of guidelines for the prevention of inadvertent perioperative hypothermia in orthopaedic patients. DESIGN Systematic review. DATA SOURCES Nine databases: PubMed, Embase, CINAHL, Cochrane CENTRAL, PsycINFO, ProQuest Dissertations and Theses, Scopus, Web of Science and Trip Clinical Evidence Database. METHODS Primary studies published in English between January 2008 to July 2022 were screened. Study selection, quality assessment, and data extraction were completed independently by researchers. Data were extracted using the Consolidated Framework for Implementation Research and mapped to the Expert Recommendations for Implementing Change strategies. RESULTS Eighty-seven studies were included in the review. The most frequently reported barriers and facilitators related to evidence strength, relative advantage, and cost of implementing perioperative hypothermia prevention guidelines. The top four ERIC strategies were: Identify and prepare champions; Conduct educational meetings; Assess for readiness and identify barriers and facilitators; and Inform local opinion leaders. CONCLUSION This review provides synthesized evidence regarding barriers and facilitators to perioperative hypothermia guidelines for patients undergoing orthopaedic surgery. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE Our work provides theory guided strategies to promote implementation of perioperative hypothermia prevention to assist nurses caring for patients undergoing orthopaedic surgery. IMPACT Findings provide professionals caring for patients undergoing orthopaedic surgery with theory-informed strategies to improve perioperative hypothermia prevention. Reducing perioperative hypothermia will improve outcomes for patients undergoing orthopaedic surgery. REPORTING METHOD The review is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020. NO PATIENT OR PUBLIC CONSULTATION Due to the study design, no patient or public consultation took place.
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Affiliation(s)
- Penny Heidke
- School of Nursing and Centre for Healthcare Transformation, Queensland University of Technology (QUT), Kelvin Grove, Queensland, Australia
- Central Queensland University, Brisbane, Queensland, Australia
| | - Jed Duff
- School of Nursing and Centre for Healthcare Transformation, Queensland University of Technology (QUT), Kelvin Grove, Queensland, Australia
- Faculty of Health and Sports Sciences, University of Agder, Grimstad, Norway
| | - Samantha Keogh
- School of Nursing and Centre for Healthcare Transformation, Queensland University of Technology (QUT), Kelvin Grove, Queensland, Australia
- Faculty of Health and Sports Sciences, University of Agder, Grimstad, Norway
| | - Judy Munday
- School of Nursing and Centre for Healthcare Transformation, Queensland University of Technology (QUT), Kelvin Grove, Queensland, Australia
- Royal Brisbane and Women's Hospital, Nursing and Midwifery Research Centre, Herston, Queensland, Australia
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10
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Nosyk B, Namusoke EM, Trolard A, Geng EH. Implementation research for today's HIV response: from theory to applied insights. J Int AIDS Soc 2024; 27 Suppl 1:e26305. [PMID: 38965990 PMCID: PMC11224577 DOI: 10.1002/jia2.26305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 05/24/2024] [Indexed: 07/06/2024] Open
Affiliation(s)
- Bohdan Nosyk
- Faculty of Health SciencesSimon Fraser UniversityBurnabyBritish ColumbiaCanada
| | | | - Anne Trolard
- Center for Dissemination and ImplementationInstitute for Public HealthDivision of Infectious DiseasesDepartment of MedicineSchool of MedicineWashington University in St. LouisSt. LouisMissouriUSA
| | - Elvin H. Geng
- Center for Dissemination and ImplementationInstitute for Public HealthDivision of Infectious DiseasesDepartment of MedicineSchool of MedicineWashington University in St. LouisSt. LouisMissouriUSA
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11
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Johnson JK, Sullivan JL, Trinkley KE, Lapin B, Passek S, Asp V, Ford B, Rabin BA. Use of the iPRISM webtool in a learning community to assess implementation context and fit of a novel clinical decision support tool for physical therapy triage in acute care hospitals. PM R 2024:10.1002/pmrj.13204. [PMID: 38934486 PMCID: PMC11671615 DOI: 10.1002/pmrj.13204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 03/13/2024] [Accepted: 03/25/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND The iPRISM webtool is an interactive tool designed to aid the process of applying the Practical, Robust Implementation and Sustainability Model (PRISM) for the assessment of and fit with context. A learning community (LC) is a multidisciplinary group of partners addressing a complex problem. Our LC coproduced the Physical TheraPy frEqueNcy Clinical decIsion support tooL (PT-PENCIL) to guide the use of physical therapist services in acute care hospitals. OBJECTIVE To describe our LC's activities to co-produce the PT-PENCIL, use of the iPRISM webtool to assess its preimplementation context and fit, and develop a multicomponent implementation strategy for the PT-PENCIL. DESIGN A descriptive research design. SETTING Three tertiary care hospitals. PARTICIPANTS Thirteen LC partners: six clinical physical therapists, three rehabilitation managers, three researchers, and a bioinformaticist. INTERVENTIONS Not applicable. OUTCOME MEASURES Using the iPRISM webtool, expected fit of the PT-PENCIL was rated 1 (not aligned) to 6 (well aligned) for each PRISM domain and expected reach, effectiveness, adoption, implementation, and maintenance were rated 1 (not likely at all) to 6 (very likely). Discrete implementation strategies were identified from the Expert Recommendations for Implementing Change. RESULTS The process spanned 18 meetings over 8 months. Ten LC partners completed the iPRISM webtool. PRISM domains with the lowest expected alignment were the "implementation and sustainability infrastructure" (mean = 4.7 out of 6; range = 3-6) and the "external environment" (mean = 4.9 of 6; range = 4-6). Adoption was the outcome with the lowest expected likelihood (mean = 4.5 out of 6; range = 1-6). Six discrete implementation strategies were identified and combined into a multicomponent strategy. CONCLUSIONS Within a LC, we used existing implementation science resources to co-produce a novel clinical decision support tool for acute care physical therapists and develop a strategy for its implementation. Our methodology can be replicated for similar projects given the public availability of each resource used.
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Affiliation(s)
- Joshua K Johnson
- Department of Physical Medicine and Rehabilitation, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Rehabilitation and Sports Therapy, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Center for Value-Based Care Research, Community Care, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Medicine, Cleveland Clinic Lerner College of Medicine at Case Western Reserve University, Cleveland, Ohio, USA
| | - Jennifer L Sullivan
- Department of Health Services, Policy, & Practice, School of Public Health, Brown University, Providence, Rhode Island, USA
- Long Term Services and Support Center of Innovation (LTSS COIN), Virginia Providence Healthcare System, Providence, Rhode Island, USA
| | - Katy E Trinkley
- Department of Family Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Brittany Lapin
- Department of Medicine, Cleveland Clinic Lerner College of Medicine at Case Western Reserve University, Cleveland, Ohio, USA
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Center for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Sandra Passek
- Rehabilitation and Sports Therapy, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Valerie Asp
- Rehabilitation and Sports Therapy, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Bryan Ford
- Adult and Child Center for Outcomes Research and Delivery Science, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Borsika A Rabin
- Adult and Child Center for Outcomes Research and Delivery Science, University of Colorado School of Medicine, Aurora, Colorado, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, California, USA
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12
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Sørensen DM, Dalton SO, Egholm CL, Bidstrup P, Brodersen JB, Rosted E. Barriers and facilitators to national guideline implementation for palliative cancer care in a Danish cross-sectoral healthcare setting: A qualitative study of healthcare professionals' experiences. Psychooncology 2024; 33:e6267. [PMID: 38078707 DOI: 10.1002/pon.6267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/10/2023] [Accepted: 11/27/2023] [Indexed: 01/30/2024]
Abstract
OBJECTIVE Patients with incurable cancer should receive general palliative care according to their needs, as provided through collaboration between hospital departments, municipalities, and general practices and as outlined in national guidelines. However, the implementation of general palliative care in Denmark has been inadequate. This study aimed to investigate the healthcare professionals' (HCPs') perceptions on barriers to and facilitators of the implementation of the Danish National Guideline (NG) for general palliative care. METHODS This descriptive, qualitative study was guided by the Consolidated Framework for Implementation Research (CFIR). Qualitative focus group and individual interviews were conducted with 23 HCPs. The interview guide, coding, analysis, and reporting of findings were developed within the CFIR framework. RESULTS The main barriers to implementing NG were as follows: lack of knowledge about the NG, lack of an implementation plan, and insufficient communication and collaboration across sectors. Important facilitators were as follows: HCP motivation to meet palliative care needs, HCPs with special functions taking responsibility for incorporating NG into local guidelines, and the role of district nurses specialised in palliative care as opinion leaders providing security and continuity for the HCPs working in palliative care. CONCLUSIONS To address the needs of patients with incurable cancer, greater efforts are required on implementing general palliative care. Although HCPs in our setting were motivated to improve NG implementation, financial resources and strategies are necessary to ensure sufficient knowledge uptake and accommodate identified barriers in order to translate the NG into practice.
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Affiliation(s)
- Dina Melanie Sørensen
- Danish Research Center for Equality in Cancer (COMPAS), Zealand University Hospital, Naestved, Denmark
- Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Naestved, Denmark
| | - Susanne Oksbjerg Dalton
- Danish Research Center for Equality in Cancer (COMPAS), Zealand University Hospital, Naestved, Denmark
- Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Naestved, Denmark
- Cancer Survivorship, Danish Cancer Institute, Copenhagen, Denmark
- Institute of Clinical Medicine, Faculty of Health, Copenhagen University, Copenhagen, Denmark
| | - Cecilie Lindström Egholm
- REHPA, Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Nyborg, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Pernille Bidstrup
- Psychological Aspects of Cancer, Cancer Survivorship, Danish Cancer Institute, Copenhagen, Denmark
- Institute of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - John Brandt Brodersen
- The Centre of General Practice, Department of Public Health, University of Copenhagen, Kobenhavn, Denmark
- Research Unit for General Practice, Region Zealand, Denmark
- Research Unit for General Practice, Department of Community Medicine, Faculty of Health Sciences, UiT Arctic University of Norway, Tromsø, Norway
| | - Elizabeth Rosted
- Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Naestved, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
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Jeffs L, Merkley J, Ronald K, Newton G, Yang L, Gray CS. Can fundamental care be advanced using the science of care framework? J Adv Nurs 2023; 79:991-1002. [PMID: 35957589 DOI: 10.1111/jan.15404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 05/24/2022] [Accepted: 07/05/2022] [Indexed: 11/30/2022]
Abstract
AIMS This manuscript aims to provide a description of an evidence-informed Science of Care practice-based research and innovation framework that may serve as a guiding framework to generate new discoveries and knowledge around fundamental care in a more integrated manner. BACKGROUND New ways of thinking about models of care and implementation strategies in transdisciplinary teams are required to accelerate inquiry and embed new knowledge and innovation into practice settings. A new way of thinking starts with an explicit articulation and commitment to the core business of the healthcare industry which is to provide quality fundamental care. DESIGN This discursive paper delineates an iteratively derived Science of Care research and innovation framework (Science of Care Framework) that draws from a targeted literature review. METHOD The Science of Care Framework integrates caring science with safety and symptom sciences with implementation, improvement, innovation and team sciences. Each science dimension is described in terms of seminal and evolving evidence and theoretical explanations, focusing on how these disciplines can support fundamental care. CONCLUSIONS The Science of Care Framework can serve as a catalyst to guide future efforts to propel new knowledge and discoveries around fundamental care and how best to implement it into clinical practice through a transdisciplinary lens. IMPACT ON NURSING SCIENCE, PRACTICE, OR DISCIPLINARY KNOWLEDGE The Science of Care Framework can accelerate nursing discipline-specific knowledge generation alongside inter and transdisciplinary insights. The novel articulation of the Science of Care Framework can be used to guide further inquiries that are co-designed, and led, by nurses into integrated models of care and innovations in clinical practice.
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Affiliation(s)
- Lianne Jeffs
- Sinai Health, Toronto, Ontario, Canada
- Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy Management, University of Toronto, Toronto, Ontario, Canada
| | | | | | | | - Lily Yang
- Sinai Health, Toronto, Ontario, Canada
| | - Carolyn Steele Gray
- Sinai Health, Toronto, Ontario, Canada
- Institute of Health Policy Management, University of Toronto, Toronto, Ontario, Canada
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14
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Day S, Couzner L, Laver KE, Withall A, Draper B, Cations M. Cross-sector learning collaboratives can improve post-diagnosis care integration for people with young onset dementia. HEALTH & SOCIAL CARE IN THE COMMUNITY 2022; 30:e6135-e6144. [PMID: 36177663 DOI: 10.1111/hsc.14051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 08/08/2022] [Accepted: 09/12/2022] [Indexed: 06/16/2023]
Abstract
Post-diagnosis young onset dementia (YOD) care is often fragmented, with services delivered across aged care, healthcare, and social care sectors. The aim of this project was to test the feasibility and potential effectiveness of a learning collaborative implementation strategy for improving the cross-sector integration of care for people with YOD and to generate data to refine the implementation strategy for scaleup. We conducted a longitudinal mixed methods process evaluation and recruited one representative from three Australian aged care organisations, three disability care organisations and three organisations (n = 9) contracted to deliver care navigation services. One representative from each organisation joined a learning collaborative within their local area and completed a six-module online education package incorporating written resources, webinars, collaboration and expert mentoring. Participants identified gaps in services in their region and barriers to care integration and developed a shared plan to implement change. Normalisation Process Theory was applied to understand the acceptability, penetration and sustainability of the implementation strategy as well as barriers and enabling factors. Dementia knowledge measured by the Dementia Knowledge and Awareness Scale was high among the professionals at the start of the implementation period (mean = 39.67, SD = 9.84) and did not change by the end (mean = 39.67, SD = 8.23). Quantitative data demonstrated that clinicians dedicated on average half of the recommended time commitment to the project. However, qualitative data identified that the learning collaborative strategy enhanced commitment to implementing integrated care and promoted action towards integrating previously disparate care services. Participant commitment to the project was influenced by their sense of obligation to their team, and teams that established clear expectations and communication strategies early were able to collaborate and use the implementation plan more effectively (demonstrating collective action). Teams were less likely to engage in the collective action or reflexive monitoring required to improve care integration if they did not feel engaged with their learning collaborative. Learning collaboratives hold promise as a strategy to improve cross-sector service collaboration for people with YOD and their families but must maximise group cohesion and shared commitment to change.
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Affiliation(s)
- Sally Day
- College of Education, Social Work and Psychology, Flinders University, Adelaide, South Australia, Australia
| | - Leah Couzner
- College of Education, Social Work and Psychology, Flinders University, Adelaide, South Australia, Australia
| | - Kate E Laver
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Adrienne Withall
- School of Public Health and Community Medicine, UNSW Sydney, Adelaide, New South Wales, Australia
| | - Brian Draper
- Discipline of Psychiatry and Mental Health, UNSW Sydney, Adelaide, New South Wales, Australia
| | - Monica Cations
- College of Education, Social Work and Psychology, Flinders University, Adelaide, South Australia, Australia
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Smith S, Tallon M, Smith J, Angelhoff C, Mörelius E. Parental sleep when their child is sick: A phased principle-based concept analysis. J Sleep Res 2022; 31:e13575. [PMID: 35468663 PMCID: PMC9786861 DOI: 10.1111/jsr.13575] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 01/28/2022] [Accepted: 02/16/2022] [Indexed: 12/30/2022]
Abstract
Sleep is a common challenge for parents with sick children and can impact parents' health, wellbeing, and caregiving responsibilities. Despite the vast research around parental sleep when their child is sick, the concept is not clearly defined. A phased principle-based concept analysis that includes triangulation of methods and quality criteria assessment was used to explore how the concept is described, used, and measured in the current literature. The aim was to analyse and clarify the conceptual, operational, and theoretical basis of parental sleep when their child is sick to produce an evidence-based definition and to identify knowledge gaps. A systematic literature search including databases CINAHL, Embase, MEDLINE, PsychARTICLES, PsychINFO, Pubmed, Scopus and Web of Science, identified 546 articles. The final dataset comprised 74 articles published between 2005 and 2021 and was assessed using a criteria tool for principle-based concept analysis. Data were managed using NVivo, and thematic analysis was undertaken. A precise definition is not present in the literature. Various tools have been used to measure parents' sleep, as well as exploration via interviews, open-ended questions, and sleep diaries. The terminology used varied. Parental sleep when their child is sick is interrelated with other concepts (e.g., stress). A recommended definition is offered. A conceptual understanding of parental sleep when their child is sick will help to guide translational research and to conduct studies critical to clinical practice and research. Future research includes developing a measurement tool for parental sleep when their child is sick to be used in study design and future interventions.
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Affiliation(s)
- Stephanie Smith
- School of Nursing and MidwiferyEdith Cowan UniversityPerthWAAustralia,Perth Children's HospitalNedlands, PerthWAAustralia
| | - Mary Tallon
- School of NursingCurtin UniversityPerthWAAustralia
| | - James Smith
- Centre for Precision HealthCollaborative Genomics and Translation GroupSchool of Medical and Health SciencesEdith Cowan UniversityPerthWAAustralia,Centre for Healthcare Resilience and Implementation ScienceAustralian Institute for Health InnovationMacquarie UniversitySydneyNSWAustralia
| | - Charlotte Angelhoff
- Crown Princess Victoria's Child and Youth Hospital and Department of Biomedical and Clinical SciencesLinköping UniversityLinköpingSweden
| | - Evalotte Mörelius
- School of Nursing and MidwiferyEdith Cowan UniversityPerthWAAustralia,Perth Children's HospitalNedlands, PerthWAAustralia
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Amano T, Hooley C, Strong J, Inoue M. Strategies for implementing music-based interventions for people with dementia in long-term care facilities: A systematic review. Int J Geriatr Psychiatry 2022; 37. [PMID: 34647348 DOI: 10.1002/gps.5641] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 10/11/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVES Research has found that music-based interventions can decrease behavioral and psychological symptoms of dementia or behaviors that challenge (BPSD/BtC). However, how to effectively implement these interventions is unclear. This study synthesizes available evidence regarding implementation strategies and outcomes of music-based interventions for people with dementia at residential long-term care facilities. METHODS Study registered with PROSPERO (registration number: CRD42020194354). We searched the following databases: PsychInfo, PubMed, MEDLINE, CINAHL, and The Cochrane Library. Inclusion criteria included articles targeting music-based interventions conducted for people with dementia, studies conducted in residential long-term care facilities, and articles that reported implementation strategies and outcomes of the intervention. RESULTS Of the included eight studies, half were studies of music therapy and the other half were on individualized music. 49 implementation strategies were reported. The most frequently reported category of strategies was planning (34.7%), followed by education (24.5%), quality management (24.5%), restructuring (12.2%), and finance (4.1%). No strategies under the category of attending to the policy context were reported. The most frequently reported implementation outcomes were appropriateness (27.3%), followed by adoption (22.7%), fidelity (22.7%), acceptability (9.1%), sustainability (9.1%), and cost (9.1%). No studies measured feasibility or penetration. CONCLUSIONS Although various effective implementation strategies were identified, we were unable to examine the effectiveness of individual implementation strategies due to the designs of the selected studies. Less attention has been paid to strategies that aim at structural changes of intervention delivery systems. Future studies should investigate facilitators and barriers of implementing music-based interventions especially focusing on structural aspects.
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Affiliation(s)
- Takashi Amano
- Rutgers University - Newark, Newark, New Jersey, USA
| | | | - Joe Strong
- University of North Carolina - Greensboro, Greensboro, North Carolina, USA
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