Background Implementation failure is inconsistently defined and conceptually underdeveloped in the implementation science (IS) literature. This impedes implementation research, practice and learning opportunities. To address these ambiguities, we conducted a scoping review of how health-related IS literature conceptualizes implementation failure. Methods Eleven databases were searched. Studies were selected based on predefined eligibility criteria; relevant data were extracted and coded by two reviewers, using a codebook based on a modified version of the Consolidated Framework for Implementation Research. To develop themes, we used regular meetings to interpret emerging patterns, refine conceptual boundaries and strengthen the theoretical and policy relevance of the analysis. Results We found four themes relating to the context and recurring determinants of failure: 1) failures in the implementation environment, 2) gaps in implementation planning, 3) inadequate individual capability, opportunity, and motivation and 4) failure to achieve and sustain innovation-context fit. We also analyzed how failure manifests across various implementation phases, a cross-cutting theme of power and equity and conceptual relationships. Across the literature, we found “implementation failure” used without clear definitions or measurement and a conflation of implementation and innovation failure. We defined implementation failure as a gap between the aspirations and outcomes of a specific implementation process, encompassing the failure to deliver benefits of evidence-based practices to the people and communities that deserve to share in the benefits of research. Discussion Implementation failure remains conceptually ambiguous within the IS literature. The IS field must adopt clearer, more rigorous terminology to distinguish contextual challenges from outright failure. While examining failure yields insights obscured by a focus on success, we note a paradox that naming failure may individualize blame or treat ongoing adaptation as deficient. To support implementation success and promote learning, we present 1) an Implementation Failure Assessment Guide and 2) recommendations for implementation research, practice and support. Conclusion Our synthesis delivers a nuanced conceptualization of implementation failure. The value of examining failure lies in identifying where, for whom, and from whose perspective an implementation process fell short. Prioritizing the study of failure offers opportunities for learning and optimizing vital resources to accelerate implementation and ensure sustainment.

This invited commentary reflects on Wandersman and Scheier's (2024) call for a more evidence-based model of training and technical assistance (i.e. TTA or implementation support). Their clarion call prompts us to consider what steps need to be taken to refine and scale a solution that genuinely enhances the effectiveness of TTA through a re-imagined model of implementation support. We highlight eight priorities to re-imagine a more effective and efficient model of TTA that reflects best practice and simultaneously contributes to continuous, collective evidence-building. The eight priorities include: (1) an ecosystem of TTA connecting TTA research and practice; (2) TTA capacity building; (3) health equity, and equitable partnerships; (4) trust and relationships; (5) TTA evaluation; (6) continuous quality improvement; (7) implementation support mechanisms; and (8) cost-effective solutions. We advocate for an international, cross-disciplinary, applied agenda aimed at establishing a robust empirical foundation for TTA to foster a culture of continuous quality improvement and knowledge generation across government agencies and philanthropies that fund TTA Centers. We describe a potential scenario for how funders can initiate and support evidence-based TTA.

Two decades into its tenure as a field, dissemination and implementation (D&I) scientists have begun a process of self-reflection, illuminating a missed opportunity to bridge the gap between research and practice-one of the field's foundational objectives. In this paper, we, the authors, assert the research-to-practice gap has persisted, in part due to an inadequate characterization of roles, functions, and processes within D&I. We aim to address this issue, and the rising tension between D&I researchers and practitioners, by proposing a community-centered path forward that is grounded in equity.We identify key players within the field and characterize their unique roles using the translational science spectrum, a model originally developed in the biomedical sciences to help streamline the research-to-practice process, as a guide. We argue that the full translational science spectrum, from basic science research, or "T0," to translation to community, or "T4," readily applies within D&I and that in using this framework to clarify roles, functions, and processes within the field, we can facilitate greater collaboration and respect across the entire D&I research-to-practice continuum. We also highlight distinct opportunities (e.g., changes to D&I scientific conference structures) to increase regular communication and engagement between individuals whose work sits at different points along the D&I translational science spectrum that can accelerate our efforts to close the research-to-practice gap and achieve the field's foundational objectives.

BACKGROUND:Data integration refers to combining quantitative and qualitative data in mixed methods. It can be achieved through several integration procedures. The building integration procedure can be used for developing quantitative instruments by integrating data from the qualitative phase. There are limited examples of data integration using the building procedure in mixed methods and implementation science. PURPOSE:The purpose of this article is to illustrate how the pathway building technique can be used to integrate data in mixed methods research through concurrent use of implementation science models and frameworks. METHODS:This two pathway building technique was developed based on a mixed methods implementation project of developing implementation strategies to promote compassionate nursing care of complex patients. RESULTS:The first pathway is the integration of qualitative data from the first phase of mixed methods study with implementation models and frameworks to create a quantitative instrument (i.e., a Q-sort survey) for the subsequent phase. The second pathway is the operationalization of the Q-sort survey results (i.e., implementation strategies) using an implementation science specification framework. CONCLUSION:The pathway technique is valuable for mixed methods research and implementation science as it offers a theory-based innovative method to tackle integration challenge.

Q methodology combines qualitative and quantitative methods to uncover subjective viewpoints about complex phenomena and classify the shared views in clusters of values and beliefs. The purpose of this paper is to demonstrate the utility of Q methodology for implementation research by illustrating how it was used for selecting and choosing implementation strategies from the perspective of experts and stakeholders. In a sequential mixed methods study focused on proposing implementation strategies to promote compassionate care for complex patients, Q methodology was used to determine shared opinions of compassionate care experts, nurses, nurse managers, health care administrators, and policymakers to rank implementation strategies in terms of their usefulness, feasibility, and importance in promoting the uptake of behavioral indicators of compassion in practice. The Q-sort survey was developed based on the qualitative findings and using implementation science frameworks. Five highly ranked implementation strategies were selected using factor analysis to identify consensus and divergence in the perspectives of stakeholders. Using an exemplar implementation study, we demonstrated that Q methodology can benefit implementation researchers for structured elicitation of perspectives of multiple stakeholders because it allows for studying and developing a nuanced understanding of complex and divisive implementation issues.

BackgroundFew studies have examined associations between gender non-conformity (GNC) in childhood or adolescence and mental health outcomes later in life. This study examined associations between (1) GNC and mental health over multiple time points in childhood and adolescence, and (2) GNC in childhood and/or adolescence and mental health in adulthood. MethodSecond generation participants from the Raine Study, a longitudinal cohort from Perth, Western Australia. Data were collected between 1995 and 2018, comprising seven waves: ages 5 (N = 2236), 8 (N = 2140), 10 (N = 2048), 14 (N = 1864), 17 (N = 1726), 22 (N = 1236) and 27 (N = 1190) years. History of GNC, v. absence of this history, was based on responses to item 110 from the Child Behaviour Checklist (CBCL)/Youth Self Report (YSR) ('wishes to be of opposite sex'). The CBCL/YSR were used to measure internalising and externalising symptoms. Items 18 ('deliberate self-harm [DSH] or attempts suicide') and 91 ('talks/thinks about killing self') were used as measures of suicidal ideation (SI) and DSH. For adults, Depression, Anxiety and Stress Subscales and Kessler Psychological Distress Scale assessed mental health. ResultsChild and adolescent GNC was associated with elevated internalising and externalising behaviours and increased odds of DSH. A history of GNC was also associated with vulnerability for severe psychological distress in adulthood in some symptom scales. ConclusionGNC over the child and adolescent period is associated with significant emotional and behavioural difficulties, and psychological distress. A history of GNC in childhood and/or adolescence also predicts poorer mental health in adulthood on multiple symptom domains.

Introduction: Individuals with multiple physical and, or, mental health issues and, or, drug-related problems are known as complex patients. These patients are often recipients of poor-quality care. Compassionate nursing care is valuable to promote better care experiences among this patient population. Implementation strategies should be designed to enhance compassionate nursing care delivery. The study aimed to gain understanding of barriers to compassionate care delivery to propose implementation to promote compassionate nursing care of complex patients.Design: An exploratory sequential mixed methods study was conducted.MethodsPhase 1 was the qualitative component during which 23 individuals with multimorbidities were interviewed for exploring their perceptions of barriers to compassionate nursing care. The barriers were integrated with implementation science frameworks using the building technique during phase 2 to develop a Q-sort survey of implementation strategies for phase 3. Nurses, nurse managers, health care administrators, policymakers, and compassionate care experts responded to the survey by ranking the 21 implementation strategies, out of which five met the Q-factor analysis criteria.Results: Participant-perceived barriers to nurse compassion could be categorized under knowledge, intentions, skills, social influences, behavioral regulation, reinforcement, emotion, and environmental context and resources. The five highest-ranked strategies included facilitation, consultation with stress experts, involvement of patients and families, modeling compassion through shadowing, and utilizing implementation teams.Conclusions: Enablement and modeling were the integration functions represented by the highest-ranked implementation strategies. Enabling nurses to provide compassionate care through emotional support and mental health counseling, and, modeling compassion and compassionate care through shadowing were recommended and rated as highly relevant by the majority of stakeholders.Clinical Relevance: Enhancing nurses compassionate behaviors toward complex patients requires facilitating them in enacting compassion in practice through modeling and support from organizations and nurse managers.

[This corrects the article DOI: 10.1016/j.ijnss.2022.08.003.].

AIMS AND OBJECTIVES To explore behavioural indicators of compassionate nursing care from the perspectives of individuals with multimorbidities and complex needs. BACKGROUND Complex patients are individuals with multimorbidity and/or mental health concerns, andoften with medication and drug-related problems requiring ongoing person-centered care, mental health interventions, and family and community resources. They are frequent consumers of health-care services and it is documented that these patients experience discrimination and substandard care. Compassionate care can improve patient care experiences and health outcomes. However, missing is the guidance on how to provide compassionate care for this population from the perspectives of complex patients. DESIGN A qualitative descriptive approach was conducted in eastern Canada from December 2020-April 2021. The COREQ guidelines were followed for reporting. METHODS Data from in-person and virtual semi-structured interviews with 23 individuals having experiences as complex patients were analysed using reflexive thematic analysis. Among them 19 were homeless and lived in a shelter. FINDINGS Six indicators of compassionate nursing care were generated: sensitivity, awareness, a non-judgmental approach, a positive demeanour, empathic understanding, and altruism. CONCLUSIONS Individuals perceived that nurses who acknowledge personal biases are better at providing compassionate care by manifesting compassion through their genuine and selfless interest in the complicated health problems and underlying socio-cultural determinants of each patient. Kindness, positivity, and a respectful nursing approach elicit openness and the sharing of heartfelt concerns. RELEVANCE TO CLINICAL PRACTICE Comprehensive health assessment, dedicated efforts to know the patient as a human being, and listening to the patient's preferences can improve health outcomes among individuals with complex needs. Healthcare administrators can effect the change by supporting nurses to address complex health and social care needs with compassion. PATIENT OR PUBLIC CONTRIBUTION Patients and healthcare professionals helped in data collection at the community care centre.

Objectives: To share a concept analysis of social movement aimed at advancing its application to evidence uptake and sustainability in health-care. Methods: We applied Walker and Avant method to clarify the concept of social movement in the context of knowledge uptake and sustainability. Peer-reviewed and grey literature databases were systematically searched for relevant reports that described how social movement action led to evidence-based practice changes in health and community settings. Titles, abstracts and full texts were reviewed independently and in duplicate, resulting in 38 included articles. Results: Social movement action for knowledge uptake and sustainability can be defined as individuals, groups, or organizations that, as voluntary and intrinsically motivated change agents, mobilize around a common cause to improve outcomes through knowledge uptake and sustainability. The 10 defining attributes, three antecedents and three consequences that we identified are dynamic and interrelated, often mutually reinforcing each other to fortify various aspects of the social movement. Examples of defining attributes include an urgent need for action, collective action and collective identity. The concept analysis resulted in the development of the Social Movement Action Framework. Conclusions: Social movement action can provide a lens through which we view implementation science. Collective action and collective identity e concepts less frequently canvassed in implementation science literature e can lend insight into grassroots approaches to uptake and sustainability. Findings can also inform providers and change leaders on the practicalities of harnessing social movement action for realworld change initiatives. By mobilizing individuals, groups, or organizations through social movement approaches, they can engage as powered change agents and teams that impact the individual, organizational and health systems levels to facilitate knowledge uptake and sustainability. (c) 2022 The authors. Published by Elsevier B.V. on behalf of the Chinese Nursing Association.

Abstract Background Models, theories, and frameworks (MTFs) provide the foundation for a cumulative science of implementation, reflecting a shared, evolving understanding of various facets of implementation. One under-represented aspect in implementation MTFs is how intersecting social factors and systems of power and oppression can shape implementation. There is value in enhancing how MTFs in implementation research and practice account for these intersecting factors. Given the large number of MTFs, we sought to identify exemplar MTFs that represent key implementation phases within which to embed an intersectional perspective. Methods We used a five-step process to prioritize MTFs for enhancement with an intersectional lens. We mapped 160 MTFs to three previously prioritized phases of the Knowledge-to-Action (KTA) framework. Next, 17 implementation researchers/practitioners, MTF experts, and intersectionality experts agreed on criteria for prioritizing MTFs within each KTA phase. The experts used a modified Delphi process to agree on an exemplar MTF for each of the three prioritized KTA framework phases. Finally, we reached consensus on the final MTFs and contacted the original MTF developers to confirm MTF versions and explore additional insights. Results We agreed on three criteria when prioritizing MTFs: acceptability (mean = 3.20, SD = 0.75), applicability (mean = 3.82, SD = 0.72), and usability (median = 4.00, mean = 3.89, SD = 0.31) of the MTF. The top-rated MTFs were the Iowa Model of Evidence-Based Practice to Promote Quality Care for the ‘Identify the problem’ phase (mean = 4.57, SD = 2.31), the Consolidated Framework for Implementation Research for the ‘Assess barriers/facilitators to knowledge use’ phase (mean = 5.79, SD = 1.12), and the Behaviour Change Wheel for the ‘Select, tailor, implement interventions’ phase (mean = 6.36, SD = 1.08). Conclusions Our interdisciplinary team engaged in a rigorous process to reach consensus on MTFs reflecting specific phases of the implementation process and prioritized each to serve as an exemplar in which to embed intersectional approaches. The resulting MTFs correspond with specific phases of the KTA framework, which itself may be useful for those seeking particular MTFs for particular KTA phases. This approach also provides a template for how other implementation MTFs could be similarly considered in the future. Trial registration Open Science Framework Registration: osf.io/qgh64.

Continuous stress exposure negatively impacts mental and physical well-being. Physiological arousal due to stress affects heartbeat frequency, changes breathing pattern and peripheral temperature, among several other bodily responses. Traditionally stress detection is performed by collecting signals such as electrocardiogram (ECG), respiration, and skin conductance response using uncomfortable sensors such as a chestband. In this study, we use earbuds that passively measure photoplethysmography (PPG), core body temperature, and inertial measurements. We have conducted a lab study exposing 18 participants to an evaluated speech task and additional tasks aimed at increasing stress or promoting relaxation. We simultaneously collected PPG, ECG, impedance cardiography (ICG), and blood pressure using laboratory grade equipment as reference measurements. We show that the earbud PPG sensor can reliably capture heart rate and heart rate variability. We further show that earbud signals can be used to classify the physiological responses associated with stress with 91.30% recall, 80.52% precision, and 85.12% F1-score using a random forest classifier with leave-one-subject-out cross-validation. The accuracy can further be improved through multi-modal sensing. These findings demonstrate the feasibility of using earbuds for passively monitoring users' physiological responses.

BACKGROUND:The field of knowledge translation (KT) has been criticized for neglecting contextual and social considerations that influence health equity. Intersectionality, a concept introduced by Black feminist scholars, emphasizes how human experience is shaped by combinations of social factors (e.g., ethnicity, gender) embedded in systemic power structures. Its use has the potential to advance equity considerations in KT. Our objective was to develop and conduct usability testing of tools to support integrating intersectionality in KT through three key phases of KT: identifying the gap; assessing barriers to knowledge use; and selecting, tailoring, and implementing interventions.METHODS:We used an integrated KT approach and assembled an interdisciplinary development committee who drafted tools. We used a mixed methods approach for usability testing with KT intervention developers that included semi-structured interviews and the System Usability Scale (SUS). We calculated an average SUS score for each tool. We coded interview data using the framework method focusing on actionable feedback. The development committee used the feedback to revise tools, which were formatted by a graphic designer.RESULTS:Nine people working in Canada joined the development committee. They drafted an intersectionality primer and one tool that included recommendations, activities, reflection prompts, and resources for each of the three implementation phases. Thirty-one KT intervention developers from three countries participated in usability testing. They suggested the tools to be shorter, contain more visualizations, and use less jargon. Average SUS scores of the draft tools ranged between 60 and 78/100. The development committee revised and shortened all tools, and added two, one-page summary documents. The final toolkit included six documents.CONCLUSIONS:We developed and evaluated tools to help embed intersectionality considerations in KT. These tools go beyond recommending the use of intersectionality to providing practical guidance on how to do this. Future work should develop guidance for enhancing social justice in intersectionality-enhanced KT.

There are fewer evidence-based social and emotional learning programs for middle school students compared to younger grades. This randomized controlled trial tests the effectiveness of Facing History and Ourselves (hereafter, Facing History) with a sample of 694 (Facing History n = 437; Comparison n = 257) students from a low-resourced school district. Youth self-identified as female (59%), Black/African American (61%), Hispanic/Latinx (18%), White (2%), and multi-racial or some other race/ethnicity (19%). Intervention students perceived their classrooms as more caring and democratic than students in the comparison group. They reported higher levels of empathy, prosocial behavior, and stronger participatory citizenship beliefs. This study expands the evidence-based of effective SEL programs available to schools.

BackgroundPneumonia is a leading cause of death worldwide and is a major health-care challenge in people living with HIV. Despite this, the causes of pneumonia in this population remain poorly understood. We aimed to assess the feasibility of metatranscriptomics for epidemiological surveillance of pneumonia in patients with HIV in Uganda.MethodsWe performed a retrospective observational study in patients with HIV who were admitted to Mulago Hospital, Kampala, Uganda between Oct 1, 2009, and Dec 31, 2011. Inclusion criteria were age 18 years or older, HIV-positivity, and clinically diagnosed pneumonia. Exclusion criteria were contraindication to bronchoscopy or an existing diagnosis of tuberculosis. Bronchoalveolar lavage fluid was collected within 72 h of admission and a combination of RNA sequencing and Mycobacterium tuberculosis culture plus PCR were performed. The primary outcome was detection of an established or possible respiratory pathogen in the total study population.FindingsWe consecutively enrolled 217 patients during the study period. A potential microbial cause for pneumonia was identified in 211 (97%) patients. At least one microorganism of established respiratory pathogenicity was identified in 113 (52%) patients, and a microbe of possible pathogenicity was identified in an additional 98 (45%). M tuberculosis was the most commonly identified established pathogen (35 [16%] patients; in whom bacterial or viral co-infections were identified in 13 [37%]). Streptococcus mitis, although not previously reported as a cause of pneumonia in patients with HIV, was the most commonly identified bacterial organism (37 [17%] patients). Haemophilus influenzae was the most commonly identified established bacterial pathogen (20 [9%] patients). Pneumocystis jirovecii was only identified in patients with a CD4 count of less than 200 cells per mL.InterpretationWe show the feasibility of using metatranscriptomics for epidemiologic surveillance of pneumonia by describing the spectrum of respiratory pathogens in adults with HIV in Uganda. Applying these methods to a contemporary cohort could enable broad assessment of changes in pneumonia aetiology following the emergence of SARS-CoV-2.FundingUS National Institutes of Health, Chan Zuckerberg Biohub.

Background Urine culturing practices are highly variable in long-term care and contribute to overprescribing of antibiotics for presumed urinary tract infections. The purpose of this study was to evaluate the use of virtual learning collaboratives to support long-term care homes in implementing a quality improvement programme focused on reducing unnecessary urine culturing and antibiotic overprescribing. Methods Over a 4-month period (May 2018–August 2018), 45 long-term care homes were self-selected from five regions to participate in virtual learning collaborative sessions, which provided an orientation to a quality improvement programme and guidance for implementation. A process evaluation complemented the use of a controlled before-and-after study with a propensity score matched control group (n=127) and a difference-in-difference analysis. Primary outcomes included rates of urine cultures performed and urinary antibiotic prescriptions. Secondary outcomes included rates of emergency department visits, hospital admission and mortality. An 18-month baseline period was compared with a 16-month postimplementation period with the use of administrative data sources. Results Rates of urine culturing and urinary antibiotic prescriptions per 1000 resident days decreased significantly more among long-term care homes that participated in learning collaboratives compared with matched controls (differential reductions of 19% and 13%, respectively, p<0.0001). There was no statistically significant changes to rates of emergency department visits, hospital admissions or mortality. These outcomes were observed with moderate adherence to the programme model. Conclusions Rates of urine culturing and urinary antibiotic prescriptions declined among long-term care homes that participated in a virtual learning collaborative to support implementation of a quality improvement programme. The results of this study have refined a model to scale this programme in long-term care.

Background: Pneumonia is a leading cause of death worldwide and is a major healthcare challenge for HIV-infected persons. Despite this, the etiology of pneumonia in this population remains poorly understood. Methods: We employed a combination of bulk RNA sequencing of bronchoalveolar lavage fluid and standard culture- and PCR-based diagnostics to survey the landscape of transcriptionally active respiratory pathogens in 217 Ugandan patients with HIV who were hospitalized for pneumonia. Findings: A microbiologic diagnosis was obtained in 211 (97.2%) of individuals, with at least one microorganism of established respiratory pathogenicity identified in 113 (52.1%) of patients, and a microbe of possible pathogenicity identified in 94 (47.9%) of patients. Mycobacterium tuberculosis (MTB) was the most commonly identified established pathogen in 35 (16.1%) of the patients and bacterial or viral co-infections were found in 13 (37.2%) of MTB-positive individuals. Streptococcus mitis, not previously reported as a cause of pneumonia in patients with HIV, was the most commonly identified bacterial organism (n=37, 17.1% of patients), and Hemophilus influenzae was the most commonly identified established bacterial pathogen (n=20, 9.2% of patients). Pneumocystis jirovecii, Hemophilus influenza, human rhinovirus, Streptococcus species and Veillonella species were more prevalent in patients with a CD4 T-cell count of <200 cells/mL. Streptococcus species, human herpes virus 4, and Veillonella species were associated with increased 70-day mortality. Interpretation: We advance understanding of the microbiologic landscape of lower respiratory tract infections in the vulnerable demographic of persons living with HIV in a representative and understudied sub-Saharan African region. Funding: This study was funded by NIH U01 HL098964, R01 HL090335, R01 HL143998, R01 HL128156 (LH) and NHLBI K23HL138461-01A1 (CL). Declaration of Interests: L. H. reports NIH grants. S.I. is employed by Second Genome, Inc. from S.L. reports fees from Siolta Therapeutics outside the submitted work. All other authors have nothing to declare. Ethics Approval Statement: This study was approved by the Mulago Hospital Institutional Review Board (IRB) under protocol number 2006-0174, and the University of California San Francisco IRB under protocol number 10-02633.

Supplemental Digital Content is available in the text Objectives: Studies have shown that people with HIV (PWH) may be at increased risk for chronic lung diseases and lung function abnormalities, which may be associated with immune activation. We tested the association of a panel of 12 immune activation and inflammation biomarkers with spirometry and single-breath diffusing capacity for carbon monoxide (DLco). Design: Cross-sectional, observational study. Methods: Participants were enrolled from the Inflammation, Aging, Microbes and Obstructive Lung Disease cohort of PWH at two US sites. Biomarkers were examined and standardized spirometry and DLco testing were performed. We tested associations between each biomarker and lung function, examined individually and in combination, using multi-variable linear and logistic regression. Results: Among 199 participants, median forced expiratory volume in 1 s (FEV1) was normal (90% predicted) and median DLco was abnormal (69% predicted). The most common lung function abnormality (57%) was a normal FEV1 to forced vital capacity ratio with an abnormal DLco of 80% or less predicted (iso↓DLco). Two markers (IL-6, high-sensitivity C-reactive protein) were associated with FEV1% predicted, whereas eight markers (soluble CD14, soluble CD163, inducible protein-10, soluble CD27, IL-6, soluble tumor necrosis factor receptors 1 and 2, D-dimer) were associated with DLco% predicted. Compared with those participants with normal spirometry and DLco, five markers (soluble CD14, soluble CD163, interferon gamma inducible protein-10, soluble tumor necrosis factor receptors 1 and 2) were associated with iso↓DLco. Conclusion: Among PWH, different markers of immune activation and inflammation are associated with FEV1% predicted than with DLco% predicted and with an iso↓DLco, representing possible unique pathways of chronic lung disease. Identifying plausible drivers of these inflammatory pathways may clarify mechanisms underlying impaired lung function in HIV infection and may identify therapeutic avenues.