Overcoming barriers to implementation: mapping implementation strategies in four hospital in home programs within the Veterans Health Administration.

The Hospital at Home model, called Hospital-in-Home (HIH) in the Department of Veterans Affairs, delivers coordinated, high-value care aligned with older adult and caregiver preferences. Documenting implementation barriers and corresponding strategies to overcome them can address challenges to widespread adoption. To evaluate HIH implementation barriers and identify strategies to address them, we conducted interviews with 8 HIH staff at 4 hospitals between 2010 and 2013. We utilized qualitative directed content analysis guided by the Consolidated Framework for Implementation Research (CFIR) and mapped identified barriers to possible strategies using the CFIR-Expert Recommendations for Implementing Change (ERIC) Matching Tool. We identified 11 barriers spanning 5 CFIR domains. Three implementation strategies - identifying and preparing champions, conducting educational meetings, and capturing and sharing local knowledge - achieved high expert endorsement for each barrier. A mix of strategies targeting resources, organizational readiness and fit, and leadership engagement should be considered to support the sustainability and spread of HIH.

Supporting Veterans with dementia to remain in the community: strategies used in 12 Veterans Health Administration programs.

The Veterans Health Administration (VA) provides services to growing numbers of Veterans with dementIa, individuals at heightened risk for hospitalizations and nursing home placement. Beginning in 2010, the VA funded 12 innovative pilot programs to improve dementia care and help Veterans remain at home. We conducted a retrospective qualitative analysis of program materials and interviews with physicians, nurses, social workers, and other personnel (n = 33) to understand the strategies these programs adopted. Interviews were conducted every 6 months between 2010-2013 (4-5 interviews per program) and focused on factors affecting program design and implementation, challenges, and strategies to reduce hospitalizations and nursing home placements. Programs varied considerably yet shared three overarching strategies to improve dementia care: involving and supporting family caregivers; engaging interdisciplinary teams; and improving coordination with other healthcare providers. Our results highlight the importance of adapting common dementia care strategies based on the local context and needs of individuals served.

Social Connection and Psychosocial Adjustment among Older Male Veterans Who Return to the Community from VA Nursing Homes.

OBJECTIVES: The goal of this study was to examine psychosocial adjustment following transition from the nursing home (NH) to community and understand the ways in which adjustment intersects with social connection. METHODS: We conducted interviews with community-dwelling older male Veterans after they were discharged from an NH. Interviews focused on Veterans' experience during the transition process. We utilized conventional content analysis to inductively code the interviews. We reviewed evidence in each identified domain for common themes. RESULTS: We interviewed 13 NH residents after recent transitions from the NH back to the community. Four themes were identified: (1) access to and quality of social support network are important for social connection, (2) engagement in meaningful activities with family and friends improves well-being, (3) service providers form link to social connection, and (4) external stressors affect the quality of social connections. CONCLUSIONS: Identified themes aligned with respondents' social connectedness and perceived psychosocial and physical well-being. Our results suggest that social connectedness is one part of the larger milieu of healthy aging including the importance of engagement with social opportunities and having a purpose. CLINICAL IMPLICATIONS: Social connectedness is critical to assess for older adults transitioning between care settings. Developing screening tools and other interventions focused on social isolation are needed.

Assessing the Relative Effectiveness of Combining Self-Care with Practitioner-Delivered Complementary and Integrative Health Therapies to Improve Pain in a Pragmatic Trial.

BACKGROUND: Many health care systems are beginning to encourage patients to use complementary and integrative health (CIH) therapies for pain management. Many clinicians have anecdotally reported that patients combining self-care CIH therapies with practitioner-delivered therapies report larger health improvements than do patients using practitioner-delivered or self-care CIH therapies alone. However, we are unaware of any trials in this area. DESIGN: The APPROACH Study (Assessing Pain, Patient-Reported Outcomes and Complementary and Integrative Health) assesses the value of veterans participating in practitioner-delivered CIH therapies alone or self-care CIH therapies alone compared with the combination of self-care and practitioner-delivered care. The study is being conducted in 18 Veterans Health Administration sites that received funding as part of the Comprehensive Addiction and Recovery Act to expand availability of CIH therapies. Practitioner-delivered therapies under study include chiropractic care, acupuncture, and therapeutic massage, and self-care therapies include tai chi/qi gong, yoga, and meditation. The primary outcome will be improvement on the Brief Pain Inventory 6 months after initiation of CIH as compared with baseline scores. Patients will enter treatment groups on the basis of the care they receive because randomizing patients to specific CIH therapies would require withholding therapies routinely offered at VA. We will address selection bias and confounding by using sites' variations in business practices and other encouragements to receive different types of CIH therapies as a surrogate for direct randomization by using instrumental variable econometrics methods. SUMMARY: Real-world evidence about the value of combining self-care and practitioner-delivered CIH therapies from this pragmatic trial will help guide the VA and other health care systems in offering specific nonpharmacological approaches to manage patients' chronic pain.

Stakeholder Engagement in Pragmatic Clinical Trials: Emphasizing Relationships to Improve Pain Management Delivery and Outcomes.

BACKGROUND: The NIH-DOD-VA Pain Management Collaboratory (PMC) supports 11 pragmatic clinical trials (PCTs) on nonpharmacological approaches to management of pain and co-occurring conditions in U.S. military and veteran health organizations. The Stakeholder Engagement Work Group is supported by a separately funded Coordinating Center and was formed with the goal of developing respectful and productive partnerships that will maximize the ability to generate trustworthy, internally valid findings directly relevant to veterans and military service members with pain, front-line primary care clinicians and health care teams, and health system leaders. The Stakeholder Engagement Work Group provides a forum to promote success of the PCTs in which principal investigators and/or their designees discuss various stakeholder engagement strategies, address challenges, and share experiences. Herein, we communicate features of meaningful stakeholder engagement in the design and implementation of pain management pragmatic trials, across the PMC. DESIGN: Our collective experiences suggest that an optimal stakeholder-engaged research project involves understanding the following: i) Who are research stakeholders in PMC trials? ii) How do investigators ensure that stakeholders represent the interests of a study's target treatment population, including individuals from underrepresented groups?, and iii) How can sustained stakeholder relationships help overcome implementation challenges over the course of a PCT? SUMMARY: Our experiences outline the role of stakeholders in pain research and may inform future pragmatic trial researchers regarding methods to engage stakeholders effectively.

Novel methodology to measure pre-procedure antimicrobial prophylaxis: integrating text searches with structured data from the Veterans Health Administration's electronic medical record.

BACKGROUND: Antimicrobial prophylaxis is an evidence-proven strategy for reducing procedure-related infections; however, measuring this key quality metric typically requires manual review, due to the way antimicrobial prophylaxis is documented in the electronic medical record (EMR). Our objective was to electronically measure compliance with antimicrobial prophylaxis using both structured and unstructured data from the Veterans Health Administration (VA) EMR. We developed this methodology for cardiac device implantation procedures. METHODS: With clinician input and review of clinical guidelines, we developed a list of antimicrobial names recommended for the prevention of cardiac device infection. We trained the algorithm using existing fiscal year (FY) 2008-15 data from the VA Clinical Assessment Reporting and Tracking-Electrophysiology (CART-EP), which contains manually determined information about antimicrobial prophylaxis. We merged CART-EP data with EMR data and programmed statistical software to flag an antimicrobial orders or drug fills from structured data fields in the EMR and hits on text string searches of antimicrobial names documented in clinician's notes. We iteratively tested combinations of these data elements to optimize an algorithm to accurately classify antimicrobial use. The final algorithm was validated in a national cohort of VA cardiac device procedures from FY2016-2017. Discordant cases underwent expert manual review to identify reasons for algorithm misclassification. RESULTS: The CART-EP dataset included 2102 procedures at 38 VA facilities with manually identified antimicrobial prophylaxis in 2056 cases (97.8%). The final algorithm combining structured EMR fields and text note search results correctly classified 2048 of the CART-EP cases (97.4%). In the validation sample, the algorithm measured compliance with antimicrobial prophylaxis in 16,606 of 18,903 cardiac device procedures (87.8%). Misclassification was due to EMR documentation issues, such as antimicrobial prophylaxis documented only in hand-written clinician notes in a format that cannot be electronically searched. CONCLUSIONS: We developed a methodology with high accuracy to measure guideline concordant use of antimicrobial prophylaxis before cardiac device procedures using data fields present in modern EMRs. This method can replace manual review in quality measurement in the VA and other healthcare systems with EMRs; further, this method could be adapted to measure compliance in other procedural areas where antimicrobial prophylaxis is recommended.

How hospitals select their patient safety priorities: An exploratory study of four Veterans Health Administration hospitals.

BACKGROUND: Hospitals face ongoing pressure to reduce patient safety events. However, given resource constraints, hospitals must prioritize their safety improvements. There is limited literature on how hospitals select their safety priorities. PURPOSE: The aim of this research was to describe and compare the approaches used by Veterans Health Administration (VA) hospitals to select their safety priorities. METHODOLOGY: Semistructured telephone interviews with key informants (n = 16) were used to collect data on safety priorities in four VA hospitals from May to December 2016. We conducted a directed content analysis of the interview notes using an organizational learning perspective. We coded for descriptive data on the approaches (e.g., set of cues, circumstances, and activities) used to select safety priorities, a priori organizational learning capabilities (learning processes, learning environment, and learning-oriented leadership), and emergent domains. For cross-site comparisons, we examined the coded data for patterns. RESULTS: All hospitals used multiple approaches to select their safety priorities; these approaches used varied across hospitals. Although no single approach was reported as particularly influential, all hospitals used approaches that addressed system level or national requirements (i.e., externally required activities). Additional approaches used by hospitals (e.g., responding to staff concerns of patient safety issues, conducting a multidisciplinary team investigation) were less connected to externally required activities and demonstrated organizational learning capabilities in learning processes (e.g., performance monitoring), learning environment (e.g., staff's psychological safety), and learning-oriented leadership (e.g., establishing a nonpunitive culture). PRACTICE IMPLICATIONS: Leaders should examine the approaches used to select safety priorities and the role of organizational learning in these selection approaches. Exclusively relying on approaches focused on externally required activities may fail to identify safety priorities that are locally relevant but not established as significant at the system or national levels. Organizational learning may promote hospitals' use of varied approaches to guide their selection of safety priorities and thereby benefit hospital safety improvement efforts.

Tailoring an educational program on the AHRQ Patient Safety Indicators to meet stakeholder needs: lessons learned in the VA.

BACKGROUND: Given that patient safety measures are increasingly used for public reporting and pay-for performance, it is important for stakeholders to understand how to use these measures for improvement. The Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicators (PSIs) are one particularly visible set of measures that are now used primarily for public reporting and pay-for-performance among both private sector and Veterans Health Administration (VA) hospitals. This trend generates a strong need for stakeholders to understand how to interpret and use the PSIs for quality improvement (QI). The goal of this study was to develop an educational program and tailor it to stakeholders' needs. In this paper, we share what we learned from this program development process. METHODS: Our study population included key VA stakeholders involved in reviewing performance reports and prioritizing and initiating quality/safety initiatives. A pre-program formative evaluation through telephone interviews and web-based surveys assessed stakeholders' educational needs/interests. Findings from the formative evaluation led to development and implementation of a cyberseminar-based program, which we tailored to stakeholders' needs/interests. A post-program survey evaluated program participants' perceptions about the PSI educational program. RESULTS: Interview data confirmed that the concepts we had developed for the interviews could be used for the survey. Survey results informed us on what program delivery mode and content topics were of high interest. Six cyberseminars were developed-three of which focused on two content areas that were noted of greatest interest: learning how to use PSIs for monitoring trends and understanding how to interpret PSIs. We also used snapshots of VA PSI reports so that participants could directly apply learnings. Although initial interest in the program was high, actual attendance was low. However, post-program survey results indicated that perceptions about the program were positive. CONCLUSIONS: Conducting a formative evaluation was a highly important process in program development. The useful information that we collected through the interviews and surveys allowed us to tailor the program to stakeholders' needs and interests. Our experiences, particularly with the formative evaluation process, yielded valuable lessons that can guide others when developing and implementing similar educational programs.

Evaluating the Implementation of Project Re-Engineered Discharge (RED) in Five Veterans Health Administration (VHA) Hospitals.

BACKGROUND: Improving the process of hospital discharge is a critical priority. Interventions to improve care transitions have been shown to reduce the rate of early unplanned readmissions, and consequently, there is growing interest in improving transitions of care between hospital and home through appropriate interventions. Project Re-Engineered Discharge (RED) has shown promise in strengthening the discharge process. Although studies have analyzed the implementation of RED among private-sector hospitals, little is known about how hospitals in the Veterans Health Administration (VHA) have implemented RED. The RED implementation process was evaluated in five VHA hospitals, and contextual factors that may impede or facilitate the undertaking of RED were identified. METHODS: A qualitative evaluation of VHA hospitals' implementation of RED was conducted through semistructured telephone interviews with personnel involved in RED implementation. Qualitative data from these interviews were coded and used to compare implementation activities across the five sites. In addition guided by the Practical, Robust Implementation and Sustainability Model (PRISM), cross-site analyses of the contextual factors were conducted using a consensus process. RESULTS: Progress and adherence to the RED toolkit implementation steps and intervention components varied across study sites. A majority of contextual factors identified were positive influences on sites' implementation. CONCLUSION: Although the study sites were able to tailor and implement RED because of its adaptability, redesigning discharge processes is a significant undertaking, requiring additional support/resources to incorporate into an organization's existing practices. Lessons learned from the study should be useful to both VHA and private-sector hospitals interested in implementing RED and undertaking a care transition intervention.

Identifying and overcoming implementation challenges: Experience of 59 noninstitutional long-term services and support pilot programs in the Veterans Health Administration.

BACKGROUND: From 2010 to 2013, the Department of Veterans Affairs (VA) funded a large pilot initiative to implement noninstitutional long-term services and supports (LTSS) programs to support aging Veterans. Our team evaluated implementation of 59 VA noninstitutional LTSS programs. PURPOSE: The specific objectives of this study are to (a) examine the challenges influencing program implementation comparing active sites that remained open and inactive sites that closed during the funding period and (b) identify ways that active sites overcame the challenges they experienced. METHODOLOGY: Key informant semistructured interviews occurred between 2011 and 2013. We conducted 217 telephone interviews over four time points. Content analysis was used to identify emergent themes. The study team met regularly to define each challenge, review all codes, and discuss discrepancies. For each follow-up interview with the sites, the list of established challenges was used as a priori themes. Emergent data were also coded. RESULTS: The challenges affecting implementation included human resources and staffing issues, infrastructure, resources allocation and geography, referrals and marketing, leadership support, and team dynamics and processes. Programs were able to overcome challenges by communicating with team members and other areas in the organization, utilizing information technology solutions, creative use of staff and flexible schedules, and obtaining additional resources. DISCUSSION: This study highlights several common challenges programs can address during the program implementation. The most often mentioned strategy was effective communication. Strategies also targeted several components of the organization including organizational functions and processes (e.g., importance of coordination within a team and across disciplines to provide good care), infrastructure (e.g., information technology and human resources), and program fit with priorities in the organization (e.g., leadership support). IMPLICATIONS: Anticipating potential pitfalls of program implementation for future noninstitutional LTSS programs can improve implementation efficiency and program sustainability. Staff at multiple levels in the organization must fully support noninstitutional LTSS programs to address these challenges.

Applying the High Reliability Health Care Maturity Model to Assess Hospital Performance: A VA Case Study.

BACKGROUND: The lack of a tool for categorizing and differentiating hospitals according to their high reliability organization (HRO)-related characteristics has hindered progress toward implementing and sustaining evidence-based HRO practices. Hospitals would benefit both from an understanding of the organizational characteristics that support HRO practices and from knowledge about the steps necessary to achieve HRO status to reduce the risk of harm and improve outcomes. The High Reliability Health Care Maturity (HRHCM) model, a model for health care organizations' achievement of high reliability with zero patient harm, incorporates three major domains critical for promoting HROs-Leadership, Safety Culture, and Robust Process Improvement ®. A study was conducted to examine the content validity of the HRHCM model and evaluate whether it can differentiate hospitals' maturity levels for each of the model's components. METHODS: Staff perceptions of patient safety at six US Department of Veterans Affairs (VA) hospitals were examined to determine whether all 14 HRHCM components were present and to characterize each hospital's level of organizational maturity. RESULTS: Twelve of the 14 components from the HRHCM model were detected; two additional characteristics emerged that are present in the HRO literature but not represented in the model-teamwork culture and system-focused tools for learning and improvement. Each hospital's level of organizational maturity could be characterized for 9 of the 14 components. DISCUSSION: The findings suggest the HRHCM model has good content validity and that there is differentiation between hospitals on model components. Additional research is needed to understand how these components can be used to build the infrastructure necessary for reaching high reliability.

Medical and surgical readmissions in the Veterans Health Administration: what proportion are related to the index hospitalization?

BACKGROUND: Readmissions are an attractive quality measure because they offer a broad view of quality beyond the index hospitalization. However, the extent to which medical or surgical readmissions reflect quality of care is largely unknown, because of the complexity of factors related to readmission. Identifying those readmissions that are clinically related to the index hospitalization is an important first step in closing this knowledge gap. OBJECTIVES: The aims of this study were to examine unplanned readmissions in the Veterans Health Administration, identify clinically related versus unrelated unplanned readmissions, and compare the leading reasons for unplanned readmission between medical and surgical discharges. METHODS: We classified 2,069,804 Veterans Health Administration hospital discharges (Fiscal Years 2003-2007) into medical/surgical index discharges with/without readmissions per their diagnosis-related groups. Our outcome variable was "all-cause" 30-day unplanned readmission. We compared medical and surgical unplanned readmissions (n=217,767) on demographics, clinical characteristics, and readmission reasons using descriptive statistics. RESULTS: Among all unplanned readmissions, 41.5% were identified as clinically related. Not surprisingly, heart failure (10.2%) and chronic obstructive pulmonary disease (6.5%) were the top 2 reasons for clinically related readmissions among medical discharges; postoperative complications (ie, complications of surgical procedures and medical care or complications of devices) accounted for 70.5% of clinically related readmissions among surgical discharges. CONCLUSIONS: Although almost 42% of unplanned readmissions were identified as clinically related, the majority of unplanned readmissions were unrelated to the index hospitalization. Quality improvement interventions targeted at processes of care associated with the index hospitalization are likely to be most effective in reducing clinically related readmissions. It is less clear how to reduce nonclinically related readmissions; these may involve broader factors than inpatient care.

Quality improvement lessons learned from National Implementation of the "Patient Safety Events in Community Care: Reporting, Investigation, and Improvement Guidebook".

OBJECTIVE: To evaluate nationwide implementation of a Guidebook designed to standardize safety practices across VA-delivered and VA-purchased care (i.e., Community Care) and identify lessons learned and strategies to improve them. DATA SOURCES AND STUDY SETTING: Qualitative data collected from key informants at 18 geographically diverse VA facilities across 17 Veterans Integrated Services Networks (VISNs). STUDY DESIGN: We conducted semi-structured interviews from 2019 to 2022 with VISN Patient Safety Officers (PSOs) and VA facility patient safety and quality managers (PSMs and QMs) and VA Facility Community Care (CC) staff to assess lessons learned by examining organizational contextual factors affecting Guidebook implementation based on the Consolidated Framework for Implementation Research (CFIR). DATA COLLECTION/EXTRACTION METHODS: Interviews were conducted virtually with 45 facility staff and 10 VISN PSOs. Using directed content analysis, we identified CFIR factors affecting implementation. These factors were mapped to the Expert Recommendations for Implementing Change (ERIC) strategy compilation to identify lessons learned that could be useful to our operational partners in improving implementation processes. We met frequently with our partners to discuss findings and plan next steps. PRINCIPAL FINDINGS: Six CFIR constructs were identified as both facilitators and barriers to Guidebook implementation: (1) planning for implementation; (2) engaging key knowledge holders; (3) available resources; (4) networks and communications; (5) culture; and (6) external policies. The two CFIR constructs that were only barriers included: (1) cosmopolitanism and (2) executing implementation. CONCLUSIONS: Our findings suggest several important lessons: (1) engage all collaborators involved in implementation; (2) ensure end-users have opportunities to provide feedback; (3) describe collaborators' purpose and roles/responsibilities clearly at the start; (4) communicate information widely and repeatedly; and (5) identify how multiple high priorities can be synergistic. This evaluation will help our partners and key VA leadership to determine next steps and future strategies for improving Guidebook implementation through collaboration with VA staff.

Measuring Patient-Reported Use and Outcomes From Complementary and Integrative Health Therapies: Development of the Complementary and Integrative Health Therapy Patient Experience Survey.

Background: Assessing the use and effectiveness of complementary and integrative health (CIH) therapies via survey can be complicated given CIH therapies are used in various locations and formats, the dosing required to have an effect is unclear, the potential health and well-being outcomes are many, and describing CIH therapies can be challenging. Few surveys assessing CIH therapy use and effectiveness exist, and none sufficiently reflect these complexities. Objective: In a large-scale Veterans Health Administration (VA) quality improvement effort, we developed the "Complementary and Integrative Health Therapy Patient Experience Survey", a longitudinal, electronic patient self-administered survey to comprehensively assess CIH therapy use and outcomes. Methods: We obtained guidance from the literature, subject matter experts, and Veteran patients who used CIH therapies in designing the survey. As a validity check, we completed cognitive testing and interviews with those patients. We conducted the survey (March 2021-April 2023), inviting 15,608 Veterans with chronic musculoskeletal pain with a recent CIH appointment or referral identified in VA electronic medical records (EMR) to participate. As a second validity check, we compared VA EMR data and patient self-reports of CIH therapy utilization a month after survey initiation and again at survey conclusion. Results: The 64-item, electronic survey assesses CIH dosing (amount and timing), delivery format and location, provider location, and payor. It also assesses 7 patient-reported outcomes (pain, global mental health, global physical health, depression, quality of life, stress, and meaning/purpose in life), and 3 potential mediators (perceived health competency, healthcare engagement, and self-efficacy for managing diseases). The survey took 17 minutes on average to complete and had a baseline response rate of 45.3%. We found high degrees of concordance between self-reported and EMR data for all therapies except meditation. Conclusions: Validly assessing patient-reported CIH therapy use and outcomes is complex, but possible.

Poor insight and future thinking in early dementia limit patient projections of potential utility of technological innovations and advanced care planning.

Introduction: Cognitive psychology posits that thinking about the future relies on memory such that those with memory impairment may have trouble imaging their future technology and other needs. Methods: We conducted a content analysis of qualitative data from interviews with six patients with MCI or early dementia regarding potential adaptations to a mobile telepresence robot. Using a matrix analysis approach, we explored perceptions of (1) what technology could help with day-to-day functioning in the present and future and (2) what technology may help people with memory problems or dementia stay home alone safely. Results: Very few participants could identify any technology to assist themselves or other people with memory problems and could not provide suggestions on what technology may help them stay home alone safely. Most perceived that they would never need robotic assistance. Discussion: These findings suggest individuals with MCI or early dementia have limited perspectives on their own functional abilities now and in the future. Consideration of the individuals' diminished understanding of their own future illness trajectory is crucial when engaging in research or considering novel technological management solutions and may have implications for other aspects of advanced care planning.

Identification of Implementation Strategies Using the CFIR-ERIC Matching Tool to Mitigate Barriers in a Primary Care Model for Older Veterans.

BACKGROUND AND OBJECTIVES: As the proportion of the U.S. population over 65 and living with complex chronic conditions grows, understanding how to strengthen the implementation of age-sensitive primary care models for older adults, such as the Veterans Health Administration's Geriatric Patient-Aligned Care Teams (GeriPACT), is critical. However, little is known about which implementation strategies can best help to mitigate barriers to adopting these models. We aimed to identify barriers to GeriPACT implementation and strategies to address these barriers using the Consolidated Framework for Implementation Research-Expert Recommendations for Implementing Change (CFIR-ERIC) Matching Tool. RESEARCH DESIGN AND METHODS: We conducted a content analysis of qualitative responses obtained from a web-based survey sent to GeriPACT members. Using a matrix approach, we grouped similar responses into key barrier categories. After mapping barriers to CFIR, we used the Tool to identify recommended strategies. RESULTS: Across 53 Veterans Health Administration hospitals, 32% of team members (n = 197) responded to our open-ended question about barriers to GeriPACT care. Barriers identified include Available Resources, Networks & Communication, Design Quality & Packaging, Knowledge & Beliefs, Leadership Engagement, and Relative Priority. The Tool recommended 12 Level 1 (e.g., conduct educational meetings) and 24 Level 2 ERIC strategies (e.g., facilitation). Several strategies (e.g., conduct local consensus discussions) cut across multiple barriers. DISCUSSION AND IMPLICATIONS: Strategies identified by the Tool can inform on-going development of the GeriPACT model's effective implementation and sustainment. Incorporating cross-cutting implementation strategies that mitigate multiple barriers at once may further support these next steps.

Prevalence of One-Year Mortality after Implantable Cardioverter Defibrillator Placement: An Opportunity for Palliative Care?

Background: Current guidelines recommend against placement of implantable cardioverter defibrillators in patients with a life expectancy less than one year. These patients may benefit from early palliative care services; however, identifying this population is challenging. Objective: Determine whether a validated prognostic tool, based on patient factors and health care utilization from electronic medical records, accurately predicts one-year mortality at the time of implantable cardioverter defibrillator placement. Design: We used the United States (U.S.) Veterans Administration's "Care Assessment Needs" one-Year Mortality Score to identify patients at high risk of mortality (score ≥95) before their procedure. Data were extracted from the Corporate Data Warehouse. Logistic regression was used to assess the odds of mortality at different score levels. Setting/Subjects: Patients undergoing a new implantable cardioverter defibrillator procedure between October 1, 2015 and September 30, 2017 in the U.S. Veterans Administration. Results: Of 3194 patients with a new implantable cardioverter defibrillator placed, 657 (21.8%) had a score ≥95. The mortality rate among these patients was 151/657 (22.9%) compared with 281/3194 (8.8%) for all patients undergoing a new implantable cardioverter defibrillator procedure. Patients with a score ≥95 had 14.0 (95% confidence interval 8.0-24.4) higher odds of death within one year of the procedure compared with those with a score ≤60. Conclusions: The "Care Assessment Needs" Score is a valid predictor of one-year mortality following implantable cardioverter defibrillator procedures. Integrating its use into the management of Veterans Administration (VA) patients considering implantable cardioverter defibrillators may improve shared decision making and engagement with palliative care.

Achieving transformation to lean management systems in health care.

OBJECTIVE: To understand what factors and organizational dynamics enable Lean transformation of health care organizations. DATA SOURCES: Primary data were collected through two waves of interviews in 2016-2017 with leaders and staff at seven veterans affairs medical centers participating in Lean enterprise transformation. STUDY DESIGN: Using an observational study design, for each site we coded and rated seven potential enablers of transformation. The outcome measure was the extent of Lean transformation, constructed by coding and rating 11 markers of depth and spread of transformation. Using multivalue coincidence analysis (CNA), we identified enablers that distinguished among sites having different levels of transformation. We identified representative quotes for the enablers. DATA COLLECTION METHODS: We interviewed 121 executive leaders, middle managers, expert consultants, systems redesign staff, frontline supervisors, and staff. PRINCIPAL FINDINGS: Two sites achieved high Lean transformation, three medium, and two low. Together leadership support and capability development were sufficient for the three-level Lean transformation outcomes with 100% consistency and 100% coverage. High scores on both corresponded to high Lean transformation; medium on either one corresponded to medium transformation; and low on both corresponded to low transformation. Additionally, low scores in communication and availability of data and very low scores in alignment characterized low-transformation sites. Sites with high leadership support also had a high veteran engagement. CONCLUSIONS: This multisite study develops a novel measure of the extent of organization-wide Lean transformation and uses CNA to identify enablers linked to transformation. It provides insights into why and how some organizations are more successful at transformation than others. Findings support the applicability of the organization transformation model that guided the study and highlight the roles of executive leadership and capability development in the dynamics of transformation.

A Citation Review of 83 Dissemination and Implementation Theories, Models, or Frameworks Utilized in U.S.-Based Aging Research.

BACKGROUND AND OBJECTIVES: Dissemination-implementation.org outlines 110 theories, models, and frameworks (TMFs): we conducted a citation analysis on 83 TMFs, searching Web of Science and PubMed databases. RESEARCH DESIGN AND METHODS: Search terms were broad and included "aging," "older," "elderly," and "geriatric." We extracted each TMF in identified articles from inception through January 28, 2022. Included articles must have used a TMF in research or quality improvement work directly linked to older adults within the United States. RESULTS: We reviewed 2,681 articles of which 295 articles cited at least one of 56 TMFs. Five TMFs represented 50% of the citations: Reach, Effectiveness, Adoption, Implementation, and Maintenance 1.0, Consolidated Framework for Implementation Research, Greenhalgh Diffusion of Innovation in Service Organizations, Quality Enhancement Research Initiative, Community-Based Participatory Research, and Promoting Action on Research Implementation in Health Services. TMF application varied and there was a steady increase in TMF citations over time, with a 2- to 3-fold increase in citations in 2020-2021. We identified that only 41% of TMF use was meaningful. DISCUSSION AND IMPLICATIONS: Our results suggest TMF utilization is increasing in aging research, but there is a need to more meaningful utilize TMFs. As the population of older adults continues to grow, there will be increasing demand for effective evidence-based practices and models of care to be quickly and effectively translated into routine care. Use of TMFs is critical to building such evidence and to identifying and evaluating methods to support this translation.

A Novel Informatics Tool to Detect Periprocedural Antibiotic Allergy Adverse Events for Near Real-time Surveillance to Support Audit and Feedback.

Importance: Standardized processes for identifying when allergic-type reactions occur and linking reactions to drug exposures are limited. Objective: To develop an informatics tool to improve detection of antibiotic allergic-type events. Design, Setting, and Participants: This retrospective cohort study was conducted from October 1, 2015, to September 30, 2019, with data analyzed between July 1, 2021, and January 31, 2022. The study was conducted across Veteran Affairs hospitals among patients who underwent cardiovascular implantable electronic device (CIED) procedures and received periprocedural antibiotic prophylaxis. The cohort was split into training and test cohorts, and cases were manually reviewed to determine presence of allergic-type reaction and its severity. Variables potentially indicative of allergic-type reactions were selected a priori and included allergies entered in the Veteran Affair's Allergy Reaction Tracking (ART) system (either historical [reported] or observed), allergy diagnosis codes, medications administered to treat allergic reactions, and text searches of clinical notes for keywords and phrases indicative of a potential allergic-type reaction. A model to detect allergic-type reaction events was iteratively developed on the training cohort and then applied to the test cohort. Algorithm test characteristics were assessed. Exposure: Preprocedural and postprocedural prophylactic antibiotic administration. Main Outcomes and Measures: Antibiotic allergic-type reactions. Results: The cohort of 36 344 patients included 34 703 CIED procedures with antibiotic exposures (mean [SD] age, 72 [10] years; 34 008 [98%] male patients); median duration of postprocedural prophylaxis was 4 days (IQR, 2-7 days; maximum, 45 days). The final algorithm included 7 variables: entries in the Veteran Affair's hospitals ART, either historic (odds ratio [OR], 42.37; 95% CI, 11.33-158.43) or observed (OR, 175.10; 95% CI, 44.84-683.76); PheCodes for "symptoms affecting skin" (OR, 8.49; 95% CI, 1.90-37.82), "urticaria" (OR, 7.01; 95% CI, 1.76-27.89), and "allergy or adverse event to an antibiotic" (OR, 11.84, 95% CI, 2.88-48.69); keyword detection in clinical notes (OR, 3.21; 95% CI, 1.27-8.08); and antihistamine administration alone or in combination (OR, 6.51; 95% CI, 1.90-22.30). In the final model, antibiotic allergic-type reactions were identified with an estimated probability of 30% or more; positive predictive value was 61% (95% CI, 45%-76%); and sensitivity was 87% (95% CI, 70%-96%). Conclusions and Relevance: In this retrospective cohort study of patients receiving periprocedural antibiotic prophylaxis, an algorithm with a high sensitivity to detect incident antibiotic allergic-type reactions that can be used to provide clinician feedback about antibiotic harms from unnecessarily prolonged antibiotic exposures was developed.