Results Of Implementation Research Articles

Automated Inventory Management Systems with IoT Integration to Optimize Stock Levels and Reduce Carrying Costs for SMEs: A Comprehensive Review

Automated inventory management systems integrated with Internet of Things (IoT) technology represent a transformative approach for Small and Medium-sized Enterprises (SMEs) in optimizing their stock levels and reducing carrying costs. A literature review also shows that there is progress in developing automated solutions, such as IoT sensors, real- time data analytics, and cloud-based applications that improve inventory control. A study shows that the adoption of IoT in automation has seen improvement in the accuracy of inventory, a reduction in stockouts, and carrying costs among SMEs. Research suggests operational improvements including reduced downtime from real time tracking, reverse logistics systems with intuitive demand forecasting for ideal stock replenishment and automation of reordering systems while effectively managing working capital. Materials and Methods: Research methodology encompassed a comprehensive analysis of peer-reviewed literature, case studies, and empirical research focusing on automated inventory management systems with IoT integration in SMEs. Criteria for choosing the literature included articles focusing on the outcomes of IoT implementation, technical integration, and performance of inventory systems. Data extraction main concern was on the efficiencies of the SC such as inventory accuracy, carrying costs, stockouts, and ROI. Descriptive methods used involved comparisons between pre-implementation and post- implementation data, use of statistical tools for measurement of performance enhancement and assessment of factors important in the deployment of the system. Results Implementation of IoT-integrated automated inventory management systems demonstrated significant improvements across multiple performance metrics. Studies reported average inventory accuracy improvements of 25-35%, reduction in carrying costs [1] by 20-30%, and decrease in stockout incidents by 35-45%. Real-time monitoring capabilities led to improved demand forecasting accuracy by 40%, while automated reordering systems reduced manual processing time by 60%. Cloud-based platforms enabled better inventory visibility and control, resulting in working capital optimization of 15-25%. SMEs implementing integrated systems reported enhanced supplier collaboration, reduced lead times, and improved customer satisfaction levels. Cost-benefit analyses indicated positive ROI within 12-18 months of system deployment. Discussion Analysis reveals several key factors contributing to successful implementation of automated inventory management systems with IoT integration. Critical success factors include proper system architecture design, effective change management strategies, and comprehensive staff training programs. Integration challenges primarily revolve around initial investment costs, technical expertise requirements, and system interoperability concerns. Studies show that the greater gains are experienced by SMEs with higher ITOR and those engaged in intricate supply chain operations. Literature review also points to differences in implementation strategies across different sectors and in their recovery, with manufacturing and retail sectors having the highest levels of adoption and improvement. Conclusion IoT-integrated automated inventory management solutions should be adopted by SMEs and are affirmed by ample data to help optimize stock status and minimize carrying costs. The tangible benefits that could be noted are accuracy in inventory, less operational costs, visibility of supply chain, and optimal use of working capital. In appointing the factors affecting the implementation success, it requires the assessment of the technical feasibility and organisational readiness as well as the management of change strategies. Research shows that dynamic technology factors will continue to improve the system’s performance and increased availability to SMEs. Due to advancement in IoT technology, artificial intelligence and cloud computing, there are potential factors that may boost the performance and cost of automatically Managed inventory systems in the future.

Developing an implementation intervention, and identifying strategies for integrating health innovations in routine practice: A case study of the implementation of an insulin patient decision aid.

Implementation, which is defined as the process of getting evidence-based innovation to be utilised is critical in ensuring innovation is being integrated into real-world practice. The way an implementation intervention (i.e., a bundle of strategies to facilitate implementation) is developed has an impact on the types of strategies chosen, and whether they are relevant to the implementation setting to exert their effects. However, literature pertaining to development of intervention or detailed descriptions of implementation processes are scarce. This study aims to report the development of an implementation intervention to integrate the use of an evidence-based innovation in routine practice, using a Malaysian insulin patient decision aid (PDA) as an exemplar. The development of the insulin PDA implementation intervention was divided into two phases, incorporating step 3 and 4 of the Action Cycle in the Knowledge to Action framework. In Phase 1, barriers to the insulin PDA implementation was explored through qualitative interviews using an interview guide developed based on the Theoretical Domains Framework. In Phase 2, prioritisation of the barriers was conducted using the multivoting technique. Next, potential strategies that can address the barriers were identified based on understanding the clinic context, and evidence from literature. Then, the selected strategies were operationalised by providing full descriptions in terms of its actor, action, action target, temporality, dose, implementation outcome affected, before they were embedded into the patient care pathway in the clinic. The implementation intervention was finalised through a clinic stakeholders meeting. In Phase 1, a total of 15 focus group discussions and 37 in-depth individual interviews were conducted with: healthcare policymakers (n = 11), doctors (n = 22), diabetes educators (n = 8), staff nurses (n = 6), pharmacists (n = 6), and patients (n = 31). A total of 26 barriers and 11 facilitators emerged and they were categorised into HCP, patient, organisational, and innovation factors. The multivoting exercise resulted in the prioritisation of 13 barriers, and subsequently, a total of 11 strategies were identified to address those barriers. The strategies were mandate change, training workshop, involve patients' family members or caretakers, framing/reframing, inform healthcare providers on the advantages of the insulin PDA use, define roles and responsibilities, place the insulin PDA in the consultation room, provide feedback, systematic documentation, to engage patients in treatment discussions, and juxtapose PDA in preferred language with patient's PDA in their preferred language to help with translation. This study highlights main barriers to PDA implementation, and strategies that can be adopted for implementation. The steps for intervention development in this study can be compared with other intervention development methods to advance the field of implementation of evidence-based innovations.

(Cost-)effectiveness and implementation of a combined lifestyle intervention for outpatients with severe mental illness (GOAL!): a hybrid quasi-experimental study protocol.

People with severe mental illness (SMI) face not only impaired mental health, but also a greater risk of physical comorbidities and a shorter life expectancy compared to the general population. A poor lifestyle plays a substantial role in this disparity. Combined Lifestyle Interventions targeting multiple lifestyle behaviors can improve mental and physical health, and quality of life. However, there is currently no appropriate structural support for people with SMI in outpatient care in the Netherlands. The Combined Lifestyle Intervention for Outpatients with SMI (GOAL!) is developed to address this gap. This study examines the (cost-)effectiveness and implementation of GOAL!. In a type 1 hybrid quasi-experimental study with a mixed-method matched design, GOAL! participants (N = 50) are compared to people receiving care as usual (N = 50). The GOAL! program includes group and individual sessions, given by allied health professionals, over a period of two years. The first year starts with a 3-month intensive course on physical activity and nutrition, followed by 9 months of aftercare covering various lifestyle topics tailored to the group's needs. There is close collaboration with local stakeholders to facilitate transfer to the community setting. The second year focuses on maintaining established activities in one's daily living environment. Our primary outcome will be the change in physical activity, comparing GOAL! participants to those receiving care as usual. Secondary outcomes are changes in other lifestyle behaviors, physical health, mental well-being, and healthcare and societal costs. Additionally, achieving lifestyle-related goals, adverse effects, and barriers and facilitators to implementation are examined. Measurements are obtained at start (T0), and after 3 (T1), 12 (T2) and 24 months (T3). This study investigates the effects of GOAL! on lifestyle behaviors, health outcomes, implementation factors and cost-effectiveness after two years, aiming to offer valuable insights into the effectiveness and implementation outcomes of lifestyle interventions for outpatients with SMI. ClinicalTrials.gov (Identifier: NCT05600205). Prospectively registered on October 26, 2022.

Collaborative Care to Improve Quality of Life for Anxiety and Depression in Posttraumatic Epilepsy (CoCarePTE): Protocol for a Randomized Hybrid Effectiveness-Implementation Trial.

Anxiety and depression in people with epilepsy are common and associated with poor outcomes; yet, they often go untreated due to poor mental health specialist access. Collaborative care is an integrated care model with a strong evidence base in primary care and medical settings, but it has not been evaluated in neurology clinics. Evaluating implementation outcomes when translating evidence-based interventions to new clinical settings to inform future scaling and incorporation into real-world practice is important. The Collaborative Care for Posttraumatic Epilepsy (CoCarePTE) trial aims to evaluate the effectiveness (improvement in emotional quality of life) and implementation of a collaborative care intervention for people with anxiety or depressive symptoms and posttraumatic epilepsy. CoCarePTE is a 2-site, randomized, single-blind, hybrid type 1 effectiveness-implementation trial that will randomize 60 adults to receive either neurology-based collaborative care or usual care. Adults receiving neurological care at participating centers with anxiety or depressive symptoms and a history of at least mild traumatic brain injury before epilepsy onset will be enrolled. The collaborative care intervention is a 24-week stepped-care model with video or telephone calls every 2 weeks by a care manager for measurement-based anxiety and depression care, seizure care monitoring, and brief therapy intervention delivery. This is supplemented by antidepressant prescribing recommendations by psychiatrists for neurologists via case conferences and care manager-facilitated team communication. In step 2 of the intervention, individuals with <50% symptom reduction by 10 weeks will receive an added 8-session remote cognitive behavioral therapy program. The study is powered to detect a moderate improvement in emotional quality of life. As a hybrid type 1 trial, effectiveness is the primary focus, with the primary outcome being a change in emotional quality of life at 6 months in the intervention group compared to control. Secondary effectiveness outcomes are 6-month changes in depression, anxiety, and overall quality of life. Implementation outcomes, including fidelity, acceptability, feasibility, and appropriateness, are evaluated before implementation and at 3 months. The primary effectiveness analysis will compare changes in emotional quality of life scores from baseline to 6 months between the intervention and control arms using multiple linear regression modeling, adjusting for study site and using an intent-to-treat approach. Enrollment commenced in 2023, with modifications in the inclusion and exclusion made after the first 6 enrollees due to slow recruitment. Enrollment is expected to continue at least into early 2025. The CoCarePTE trial is novel in its use of a hybrid effectiveness-implementation design to evaluate an evidence-based mental health intervention in epilepsy, and by incorporating seizure care into a collaborative care model. If a significant improvement in emotional quality of life is found in the intervention group compared to usual care, this would support next step scaling or clinical implementation. ClinicalTrials.gov NCT05353452; https://www.clinicaltrials.gov/study/NCT05353452. DERR1-10.2196/59329.

Implementation of a Technology-Based Mobile Obstetric Referral Emergency System (MORES): Qualitative Assessment of Health Workers in Rural Liberia.

Maternal mortality remains a persistent challenge in low- and middle-income countries, where evidence-based interventions of obstetric triage and prehospital communication remain sparse. There is limited implementation evidence for technology-based approaches to improve obstetric care in such contexts. Liberia struggles with maternal mortality, particularly in rural areas where deaths are attributable to delays from absent triage and interfacility communication. We implemented a Mobile Obstetric Referral Emergency System (MORES) in rural Bong County to improve prehospital transfer, health worker attentiveness, and patient care for critical obstetric patients. MORES consisted of triage training and a 2-way, templated WhatsApp communication system to reduce delays among patients transferred from rural health facilities (RHF) to hospitals. This study aimed to examine MORES implementation outcomes of usability, fidelity, effectiveness, sustainability, and scalability, as well as additional impacts on the wider health system. A structured case study design interview was developed by Liberian and US experts in obstetric triage. Participants included 62 frontline obstetric health providers including midwives (38/62, 61%), nurses (20/62, 32%), physicians assistants (3/62, 5%), and physicians (1/62, 2%) from 19 RHFs and 2 district hospitals who had used MORES for 1 year. Individual interviews were conducted on MORES implementation outcomes, transcribed, and analyzed in NVivo (version 12; Lumivero) with a team-based coding methodology. Content analysis with a deductive approach examined implementation outcomes of usability, fidelity, effectiveness, sustainability, and scalability, while an inductive approach categorized the unanticipated impacts of MORES on the wider health system. Four domains were identified regarding MORES implementation: Usability and Fidelity, Effectiveness, Sustainability and Scalability, and Health System Impact. All participants perceived MORES to have high usability and fidelity, as the triage and messaging system was implemented as intended for critical obstetric patients (62/62, 100%). For effectiveness, MORES accomplished its intended aims by improving prehospital transfer (57/62, 92%), increasing health worker attentiveness (39/62, 63%), and contributing to improved patient care (34/62, 55%). MORES was perceived as sustainable and scalable (62/62, 100%), particularly if technological barriers (21/62, 34%) and staff training (19/62, 31%) were addressed. MORES impacted the wider health system in unanticipated ways including improved coordination and accountability (55/62, 89%), feedback mechanisms for hospitals and RHFs (48/62, 77%), interprofessional teamwork (21/62, 34%), longitudinal follow-up care (20/62, 32%), creating a record of care delays (17/62, 27%), and electronic health record infrastructure (13/62, 21%). MORES was perceived to have high usability, fidelity, effectiveness, sustainability, and scalability by frontline obstetric providers in rural Liberia. MORES accomplished the intended aims of improving prehospital transfer, increasing health worker attentiveness, and contributing to improved patient care. Additionally, MORES strengthened the health system through 6 domains which impacted individual and system levels. Future studies should quantitatively evaluate delay and morbidity reductions and strategies for scaling MORES.

Leveraging Implementation Science at the Early-Stage Development of a Novel Telehealth-Delivered Fear of Exercise Program to Understand Intervention Feasibility and Implementation Potential: Feasibility Behavioral Intervention Study.

To increase real-world adoption of effective telehealth-delivered behavioral health interventions among midlife and older adults with cardiovascular disease, incorporating implementation science (IS) methods at earlier stages of intervention development may be needed. This study aims to describe how IS can be incorporated into the design and interpretation of a study assessing the feasibility and implementation potential of a technology-delivered behavioral health intervention. We assessed the feasibility and implementation potential of a 2-session, remotely delivered, home-based behavioral intervention composed of psychoeducation, interoceptive exposure through low-to-moderate intensity walking, interoceptive counseling, and homework (Reducing Exercise Sensitivity with Exposure Training; RESET) among patients with recent acute coronary syndrome (ACS) and some fear of exercise. To assess intervention feasibility, we measured patient protocol adherence, intervention delivery fidelity, and completion of intervention outcome assessments using direct observations, fidelity checklists, surveys, and device-measured physical activity. To assess implementation potential, we measured implementation outcomes (feasibility, acceptability, and appropriateness) using 4-item measures, each rated from the patient perspective on a 1 to 5 Likert scale (1=completely disagree and 5=completely agree; criteria: ≥4=agree or completely agree), and patient-perceived implementation determinants and design feedback using survey and interview data. Interview data underwent thematic analysis to identify implementation determinant themes, which were then categorized into Consolidated Framework for Implementation Research (CFIR) domains and constructs. Of 31 patients approached during recruitment, 3 (10%) were eligible, enrolled, and completed the study (mean age 46.3, SD 14.0 y; 2/3, 67% male; 1/3, 33% Black; and 1/3, 33% Asian). The intervention was delivered with fidelity for all participants, and all participants completed the entire intervention protocol and outcome assessments. On average, participants agreed that the RESET intervention was feasible and acceptable, while appropriateness ratings did not meet implementation criteria (feasibility: mean 4.2, SD 0.4; acceptability: mean 4.3, SD 0.7; and appropriateness: mean 3.7, SD 0.4). Key patient-perceived implementation determinants were related to constructs in the innovation (design, adaptability, and complexity), inner setting (available resources [physical space, funding, materials, and equipment] and access to knowledge and information), and innovation recipient characteristics (motivation, capability, opportunity, and need) domains of the CFIR, with key barriers related to innovation design. Design feedback indicated that the areas requiring the most revisions were the interoceptive exposure design and the virtual delivery modality, and reasons why included low dose and poor usability. The RESET intervention was feasible but not implementable in a small sample of patients with ACS. Our theory-informed, mixed methods approach aided our understanding of what, how, and why RESET was not perceived as implementable; this information will guide intervention refinement. This study demonstrated how integrating IS methods early in intervention development can guide decisions regarding readiness to advance interventions along the translational research pipeline.

Thibang Diphatlha: a sequential multiple assignment randomized trial designed to increase timely adoption of cervical cancer treatment in Botswana.

Delays and missed opportunities for timely treatment contribute significantly to stark inequities in cervical cancer mortality in low- and middle-income countries (LMICs) compared to high-income countries. The vast majority (approximately 90%) of new cases and deaths occur in LMICs, particularly those with high rates of HIV such as Botswana. To date, most of the implementation and cancer control research in Botswana and other LMICs has focused on cancer prevention and screening, with limited focus on cancer treatment. As such, there is a critical need to identify effective strategies to ensure timely care, and to understand contextual factors that shape the response to strategies. Without this fundamental knowledge, cervical cancer will remain a public health crisis in Botswana and other LMICs. To help fill this known gap, this study tests the effectiveness of adaptive strategies on timely treatment adoption using a hybrid (type III) Sequential Multiple Assignment Randomized Trial (SMART) design and evaluate contextual mechanisms contributing to the success or failure of each adaptive strategy. The adaptive strategies are designed to target contextual determinants identified in our prior work, including delayed communication of results to patients, individual and structural barriers to accessing treatment, and suboptimal care coordination between referring and cancer treatment clinics, and are supported by systematic evidence of the effectiveness of nudge strategies in clinical care. The primary implementation outcome is adoption, defined as the initiation of treatment within 90days. Secondary outcomes include fidelity, reach, acceptability, implementation costs, and cancer and HIV-related clinical outcomes. The rationale for the study is that enhancing coordination, communication, and navigation through centralized outreach will both increase timely treatment adoption and be scalable and sustainable after the project is completed. This innovative study seeks to decrease cervical cancer mortality in LMICs by developing and implementing effective and sustainable strategies that can be sustained and adapted to other contexts. Additionally, this study seeks to advance the long-term impact of global implementation science through strong and sustained partnerships in Botswana and other LMICs. ClinicalTrials.govNCT05952141. Registered on July 11, 2023. https://clinicaltrials.gov/study/NCT05952141 PROTOCOL VERSION AND DATE: Version 1 (September 28, 2024).

Implementation outcomes of disaster risk reduction (DRR) policy in public facilities (PFs): Aceh perspective, Indonesia

PurposeAceh province has established various infrastructure and regulations related to disaster risk and management after the Indian Ocean Tsunami (IOT) hit the province. Hence, this study investigates the implementation of Disaster Risk Reduction (DRR) in Public Facilities (PFs) in Banda Aceh municipality using implementation outcome variables (acceptability, adoption, appropriateness, feasibility, compliance, implementation cost, coverage and sustainability).Design/methodology/approachQualitative methods, including in-depth interviews and document reviews, were applied to collect data for this study. The data were then analysed thematically using NVivo 12 software.FindingsThe lack of public communication regarding DRR in PFs to all involved stakeholders resulted in poor acceptability, adoption, coverage and compliance with the policy implementation among public facilities’ chiefs, owners or managers. Additionally, they were reluctant to implement DRR plans and activities within their facilities due to limited DRR funds.Practical implicationsThis study’s results can contribute to reviewing the policy and practices of Aceh government authorities and other involved stakeholders to improve policy implementation of DRR activities comprehensively across eight groups of public facilities in Banda municipality, other districts in Aceh province, and local areas in Indonesia. Further, the methods used in this study to assess DRR regulations’ progress towards the eight implementation outcome variables can be applied widely to other settings.Originality/valueNo research was found on examining the policy implementation of DRR in PFs in Aceh province, which motivated the author to conduct this work.

Collaboration strategies affecting implementation of a cross-systems intervention for child welfare and substance use treatment: a mixed methods analysis.

Collaboration strategies refer to policies and practices used to align operations and services across organizations or systems. These strategies can influence implementation of cross-system interventions focused on improving integration of care, but remain under-specified and under-examined. This study identifies collaboration strategies and the conditions under which they affected implementation of Sobriety Treatment and Recovery Teams (START), an evidence-based intervention focused on integrating child welfare and behavioral health services for families involved with both systems. Our study sample included 17 county child welfare agencies that implemented START. Data on collaboration strategies and organizational context were obtained from key informant interviews, frontline worker surveys, and contracts. Contextual data were drawn from secondary data, and fidelity data were drawn from an administrative database. Qualitative and quantitative data were integrated using coincidence analysis, and used to identify combinations of conditions that uniquely differentiated agencies with higher and lower fidelity to START. Fidelity was lower for intervention components requiring cross-system collaboration. Although key informants acknowledged the importance of collaboration for START implementation, few agencies used formal collaboration strategies other than staff co-location or reported high communication quality between frontline staff in child welfare and behavioral health. In coincidence analysis, four conditions differentiated agencies with higher and lower fidelity with 100% consistency and 88% coverage. We found that either strong leadership support or, in high need communities, third-party resource support from local behavioral health boards were sufficient for high fidelity. Similarly, in high need communities, absence of third-party resource support was sufficient for low fidelity, while in low need communities, absence of communication quality was sufficient for low fidelity. Administrators, frontline workers, and interested third parties (i.e., other stakeholders not directly involved in implementation) can use collaboration strategies to facilitate implementation. However, the effectiveness of collaboration strategies depends on local context. In agencies where internal leadership support for implementation is low but need for intervention is high, third-party resource support may still be sufficient for high fidelity. Further research is needed to test effectiveness of collaboration strategies in different conditions and on a broader range of process and implementation outcomes. ClinicalTrials.gov, NCT03931005, Registered 04/29/2019, https://classic. gov/ct2/show/NCT03931005 .

Addressing Hypertension and Diabetes through Community-Engaged Systems (ANDES) in Puno, Peru: rationale and study protocol for a hybrid type 2 effectiveness and implementation randomized controlled trial

BackgroundHypertension is the most common cardiovascular disease in Peru despite the availability of cost-effective, evidence-based treatment. Here we describe the rationale and study design for a hybrid type 2 randomized controlled trial to test the implementation and effectiveness of a community health worker (CHW)-led hypertension control program within the national primary care system in Puno, Peru.MethodsWe will recruit 1068 adult participants with hypertension aged ≥ 18 years in Puno, Peru, via facility-based enrollment and community health fairs. Participants will be individually randomized (1:1) to either continue with usual care or participate in a 12-month CHW-led home-based hypertension control program consisting of blood pressure monitoring, medication adherence support, and healthy lifestyle counseling. Outcome development and reporting are guided by the Consolidated Framework for Implementation Research (CFIR), the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, and the Proctor et al. framework. Clinical effectiveness outcomes include mean change in systolic blood pressure (primary outcome), diastolic blood pressure, and HbA1C. Implementation outcomes include fidelity (i.e., CHW protocol adherence and dose), reach, adoption, sustainability, acceptability, and cost-effectiveness.DiscussionThe ANDES trial is testing the first CHW-led multicomponent strategy for hypertension and type 2 diabetes management in Peru. This type 2 hybrid trial will provide critical insights into the individual, community, and system-level factors necessary for successful implementation and effectiveness. These data can inform the future adaptation and scaling of the ANDES strategy in Peru and other LMICs, as well as influence policies at the system level to support this transition. Furthermore, by addressing both hypertension and diabetes, the ANDES strategy supports integrated care approaches advocated by the WHO HEARTS technical package, ultimately enhancing health outcomes and reducing morbidity and mortality in the region.Trial registrationClinicalTrials.gov, ID: NCT05524987, Addressing Hypertension and Diabetes through Community-Engaged Systems in Puno, Peru (ANDES study), prospectively registered on September 1, 2021.

Implementation outcomes from a randomized, controlled trial of a strategy to improve integration of behavioral health and primary care services

BackgroundIntegrating behavioral health services in primary care is challenging; a toolkit approach to practice implementation can help. A recent comparative effectiveness randomized clinical trial examined the impact of a toolkit for improving integration on outcomes for patients with multiple chronic conditions. Some aspects of behavioral health integration improved; patient-reported outcomes did not. This report evaluates the implementation strategy (Toolkit) using Proctor’s (2011) implementation outcomes model.MethodsUsing data from the 20 practices randomized to the active (toolkit strategy) arm (education, redesign workbooks, online learning community, remote coaching), we identified 23 measures from practice member surveys, coach interviews, reports, and field logs to assess Toolkit acceptability, appropriateness, feasibility, and fidelity. A practice survey score was high (met expectations) if its average was ≥ 4 on a scale 1-5; all other data were coded dichotomously, with high = 1.ResultsRegarding acceptability, 74% (14) of practices had high scores for willingness of providers and staff to use the Toolkit and 68% (13) for quality improvement teams liking the Toolkit. For appropriateness, 95% (19) of practices had high scores for the structured process being a good match and 63% (12) for the Toolkit being a good match. Feasibility, measured by Toolkit prerequisites, was scored lower by site members at project end (e.g., provider leader available as champion: 53% of practices) compared to remote coaches observing practice teams (74%). For “do-ability,” coaches rated feasibility lower for practices (e.g., completion of workbook activities: 32%) than the practice teams (68%). Fidelity was low as assessed across seven measures, with 50% to 78% of practices having high scores across the seven measures.ConclusionsExisting data from large trials can be used to describe implementation outcomes. The Toolkit was not implemented with fidelity in at least one quarter of the sites, despite being acceptable and appropriate, possibly due to low feasibility in the form of unmet prerequisites and Toolkit complexity. Variability in fidelity reflects the importance of implementation strategies that fit each organization, suggesting that further study on contextual factors and use of the Toolkit, as well as the relationship of Toolkit use and study outcomes, is needed.Trial registrationClinicalTrials.gov NCT02868983; date of registration: 08/15/2016.

Artificial Intelligence in SAP S/4HANA: Transforming Enterprise Resource Planning through Intelligent Automation

This comprehensive article investigates the transformative impact of AI-enhanced SAP S/4HANA Finance across healthcare, manufacturing, scientific research, auto, food &amp; Oil &amp;Gas sectors, focusing on human-AI collaboration patterns and implementation outcomes. Through a mixed-methods approach analyzing 15 organizations over 18 months, the research examines how AI integration transforms traditional ERP functionalities into intelligent financial management systems. The article collected data from 450 end-users and 45 key stakeholders, employing both quantitative metrics and qualitative assessments to evaluate implementation patterns, challenges, and success factors. The findings reveal significant improvements across all sectors: healthcare organizations achieved 40% reduction in billing processing time and 15% improvement in collection rates; manufacturing entities realized 35% reduction in unplanned downtime and 22% decrease in working capital requirements; while research institutions demonstrated 45% faster grant processing and 35% improved budget forecasting accuracy. The article introduces the Adaptive Financial Intelligence Framework (AFIF) for conceptualizing human-AI collaboration in financial management, contributing to both theoretical understanding and practical implementation strategies. The article concludes that successful AI integration depends on industry-specific adaptations, comprehensive training programs, and robust governance frameworks while highlighting the critical role of human expertise in maximizing system benefits. These findings provide valuable insights for organizations pursuing AI-enhanced financial management solutions while offering a roadmap for future developments in human-AI collaboration within enterprise systems.

Bridging medical expertise in crisis: The development and implementation of a novel mobile application for Ukrainian physicians during wartime.

The full-scale invasion disrupted health care in Ukraine, leading to the displacement of physicians and affecting their access to subspecialist consultations. HealUA, a mobile application, was designed to provide secure and timely remote physician-to-physician consultations. We aimed to assess the implementation of the HealUA mobile application for peer-to-peer physician consultations in Ukraine during the Russian invasion. HealUA was developed in May 2022. Security measures included user verification, privacy policies, and legal disclaimers. The application allowed physicians to submit cases and receive remote consultations from physicians in Ukraine and worldwide. We assessed the implementation of the HealUA application using Proctor's implementation outcomes framework, specifically adoption and feasibility. Adoption was measured by user downloads, characteristics of registered physicians, and case submissions. Feasibility was evaluated through clinical case response times, translation services, and technical issues. From May 2022 to May 2024, 3861 physicians registered. The majority were from Ukraine (95%). Of 474 submitted cases, 97.3% received timely responses from other physicians. The application demonstrated prompt response times (84.6% within the first day), successful translation services, and effective resolution of technical issues. The HealUA application achieved broad adoption across medical specialties, fostering robust clinical information exchange during the ongoing conflict. Security standards were upheld and routine technical issues were satisfactorily addressed. Future efforts will focus on broader dissemination and assessing additional implementation outcomes.

Bearing Electrical Erosion Signal Detection Technique Based on Current Signal Analysis for Electric Motors

Abstract In modern industries, enhancing the efficiency and performance of electric motors is a critical requirement. Pulse width modulation (PWM) inverters utilized to enhance the energy efficiency of electric motors generate complex shaft voltages and bearing currents, leading to bearing electrical erosion. This study proposes a new method for detecting high-frequency (HF) circulating current and electric discharge machining (EDM) current signals in bearings for electric motors. The proposed method utilizes common mode voltage (CMV) and bearing current data, analyzing the relationship between these signals. Subsequently, it applies filtering techniques and differentiation for signal preprocessing. The Interquartile Range (IQR) method is used to detect outliers, classify HF circulating current and EDM current signals, and perform time-series data clustering to determine the occurrence frequency and timing of EDM signals. Finally, the implementation outcomes of the proposed method are validated, and its classification efficacy is evaluated and benchmarked against established methodologies through a comprehensive performance analysis. The proposed technique is anticipated to be applicable to the maintenance and prediction of modern electric motors in future developments, contributing to enhanced durability and reliability.

Implementing palliative care in hepatocellular carcinoma ambulatory clinics—study protocol for Accelerated translational research in PRImary liver CAncer (APRICA) randomised controlled palliative care trial

BackgroundIntegration of symptom and palliative care for people with advanced cancer is established in many tumour types, but its role in people with hepatocellular carcinoma (HCC) has not been clearly defined. This study aims to evaluate the clinical and cost effectiveness of an intervention involving a suite of strategies designed to assess and treat palliative care symptoms and needs in adult outpatients with HCC attending four New South Wales (NSW) metropolitan tertiary hospitals.MethodsThis trial will use a pragmatic cluster-based randomised-controlled design, with ambulatory HCC services as the clusters. HCC patients will be recruited if they have Barcelona Clinical Liver Cancer (BCLC) stage A disease with active tumour or a current or prior diagnosis of BCLC stage B or C disease regardless of tumour activity. Patients with BCLC stage D disease will be excluded as palliative care is the standard of care (SOC) in this group. Cluster sites will be randomised to the study intervention or control where patients are managed according to SOC. All participants will complete the liver-specific Edmonton Symptom Assessment Scale (ESAS) and European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire at regular ambulatory clinic appointments. At intervention sites, patients scoring ≥ 5 on any liver-specific ESAS symptom will be referred to palliative care physicians for consultation. The primary clinical outcome will be improvement in all symptoms scored ≥ 5 on the liver-specific ESAS by 50% within 3 months and the primary implementation outcome will recording the liver-specific ESAS in ≥ 80% of all participants attending clinic appointments. Caregivers of patients enrolled in the trial will be invited to perform Carer Support Needs Assessment Tool at each appointment.DiscussionThis trial will inform if earlier palliative care involvement significantly reduces the symptom burden associated with HCC. If found to be effective, earlier implementation of palliative care consultation should be included in HCC treatment guidelines.Trial registrationACTRN12623000010695. Registered on September 1, 2023.

Harmonizing data across the accelerating colorectal cancer screening and follow-up through implementation science (ACCSIS) program to enhance data quality and promote data sharing

BackgroundThe purpose of the Accelerating Colorectal Cancer Screening and Follow-up through Implementation Science (ACCSIS) Program, a Cancer Moonshot℠ Initiative, is to support research to build the evidence base on multilevel interventions that increase rates of colorectal cancer screening, follow-up, and referral to care to address disparities in colorectal cancer screening. The National Cancer Institute funded eight Research Projects to implement multilevel interventions to improve colorectal cancer screening among communities who traditionally have been medically underserved. To analyze the impact of ACCSIS across Research Projects, the consortium developed a set of common data elements. The purpose of this paper is to describe the process of developing the common data elements to facilitate analysis of ACCSIS data as well as support and inform implementation science research studies.MethodsThe ACCSIS Data, Design, and Analysis Work Group was tasked with designing common data elements through a review of existing data collection instruments, examination of data elements proposed by the ACCSIS Research Projects, and deliberations on the data required to compare across the Research Projects. ACCSIS Consortium members drafted, revised, and finalized a common data elements document consisting of variables to collect and surveys to administer to evaluate ACCSIS implementation activities and outcomes in a standardized manner across the Research Projects.ResultsThe ACCSIS Consortium decided to collect the following categories of common data elements: characteristics across multiple levels of the multicomponent interventions, implementation climate, and determinants; interventions and strategies; implementation outcome constructs and definitions; colorectal cancer screening episodes (screening, diagnostic testing follow-up, cancer detection, and cancer treatment); and cost measures. To assess implementation climate, the consortium prioritized constructs from five domains of the Consolidated Framework for Implementation Research.ConclusionsThe ACCSIS common data elements offer a set of harmonization data for future implementation efforts. The consortium is conducting a systematic assessment using both quantitative and qualitative approaches to assess data quality and approaches to improve and sustain data collection. Lessons learned from these ongoing activities will offer additional insights to tailor the ACCSIS common data elements and support efforts to increase colorectal cancer screening for populations experiencing disparities.

A case study of the development of a valid and pragmatic implementation science measure: the Barriers and Facilitators in Implementation of Task-Sharing Mental Health interventions (BeFITS-MH) measure

BackgroundFew implementation science (IS) measures have been evaluated for validity, reliability and utility – the latter referring to whether a measure captures meaningful aspects of implementation contexts. We present a real-world case study of rigorous measure development in IS that assesses Barriers and Facilitators in Implementation of Task-Sharing in Mental Health services (BeFITS-MH), with the objective of offering lessons-learned and a framework to enhance measurement utility.MethodsWe summarize conceptual and empirical work that informed the development of the BeFITS-MH measure, including a description of the Delphi process, detailed translation and local adaptation procedures, and concurrent pilot testing. As validity and reliability are key aspects of measure development, we also report on our process of assessing the measure’s construct validity and utility for the implementation outcomes of acceptability, appropriateness, and feasibility.ResultsContinuous stakeholder involvement and concurrent pilot testing resulted in several adaptations of the BeFITS-MH measure’s structure, scaling, and format to enhance contextual relevance and utility. Adaptations of broad terms such as “program,” “provider type,” and “type of service” were necessary due to the heterogeneous nature of interventions, type of task-sharing providers employed, and clients served across the three global sites. Item selection benefited from the iterative process, enabling identification of relevance of key aspects of identified barriers and facilitators, and what aspects were common across sites. Program implementers’ conceptions of utility regarding the measure’s acceptability, appropriateness, and feasibility clustered across several common categories.ConclusionsThis case study provides a rigorous, multi-step process for developing a pragmatic IS measure. The process and lessons learned will aid in the teaching, practice and research of IS measurement development. The importance of including experiences and knowledge from different types of stakeholders in different global settings was reinforced and resulted in a more globally useful measure while allowing for locally-relevant adaptation. To increase the relevance of the measure it is important to target actionable domains that predict markers of utility (e.g., successful uptake) per program implementers’ preferences. With this case study, we provide a detailed roadmap for others seeking to develop and validate IS measures that maximize local utility and impact.

Integrating mental health and psychosocial support into economic inclusion programming for displaced families in Ecuador

BackgroundPoverty is a key social determinant of mental health among forcibly displaced persons. This study aimed to design and pilot test a strategy to integrate existing mental health and economic inclusion interventions for displaced families in Ecuador.MethodsWe conducted a series of qualitative interviews (n = 30), focus groups (n = 6), and workshops (n = 3) to develop a set of strategies for integrating cross-cutting and focused mental health and psychosocial support (MHPSS) strategies into an existing economic inclusion program for displaced families in Quito. We non-randomly assigned two field offices in Quito to (1) integrate cross-cutting strategies focused on improving economic outcomes or (2) integrate both those cross-cutting strategies plus focused MHPSS strategies into an economic inclusion program. We measured site-level implementation outcomes (adoption, appropriateness, acceptability, feasibility, fidelity, reach, retention, usability) and participant-level psychosocial (wellbeing, depressive symptoms, anxiety symptoms, functioning) and economic inclusion outcomes (financial resources, diet diversity, social capital/networks, self-reliance) over six months. We conducted a mixed-methods analysis to explore the acceptability and feasibility of the integration strategies and the ability to evaluate their effects in a future cluster randomized trial.ResultsWe developed a toolkit that included 10 strategies for integrating MHPSS into economic inclusion interventions. Fifty displaced persons participating in an existing economic inclusion program (25 per study condition) were enrolled and 88% remained in the study through the six-month follow-up. Participants and implementers reported that the integration strategy was appropriate, acceptable, feasible, and usable. Implementers, including people without prior experience in delivering mental health services, were able to deliver the intervention with high fidelity. Integration of focused MHPSS intervention components into an economic inclusion program appeared to improve MHPSS outcomes, the strength of social capital and networks, and engagement in economic and other programs.ConclusionsThis study provides preliminary evidence of the acceptability and feasibility of integrating MHPSS into economic inclusion programs for displaced people. We found evidence supporting evaluation methods that can be employed in a future study to definitively test the added value of integrated approaches to mental health and economic wellbeing for displaced persons.

Stakeholder Perspectives on a Heart Failure With Reduced Ejection Fraction Polypill: A Multi-Center Mixed Methods Study.

A polypill containing all 4 classes of guideline-directed medical therapy for heart failure with reduced ejection fraction (HFrEF) has been proposed to change the heart failure treatment paradigm. The acceptability, appropriateness, and feasibility of a HFrEF polypill-based strategy are unknown. The purpose of this study was to elicit patients' and providers' priorities in the design of HFrEF polypills. From April 2023 to December 2023, we conducted a convergent parallel mixed-methods study at Washington University in St. Louis, the University of California, San Francisco, and the American College of Cardiology. We administered physician surveys containing adapted implementation outcome measures to elicit physicians' perspectives on the acceptability, feasibility, and appropriateness of a HFrEF polypill (Likert scale ranging from 1 [low] to 5 [high]). We used a purposive sampling frame to select patients and physicians for in-depth interviews. Using semi-structured interview guides, we elicited participants' perspectives on current HFrEF care, HFrEF polypill design, and supportive strategies. The Consolidated Framework for Implementation Research v2.0 guided thematic analysis. Of the 214 survey respondents across the United States, physicians agreed that HFrEF polypills are highly acceptable (mean [SD], 4.2 [0.7]), highly appropriate (4.1 [0.8]), and highly feasible (4.1 [0.7]). Key themes from 9 patient and 22 provider interviews included the following: (1) current determinants of HFrEF care, including medication adherence, variations in clinical practice, and health care access, (2) provider-level differences in preferred HFrEF polypill design, (3) cost and equity considerations in the implementation of HFrEF polypills, and (4) research priorities for evaluating polypill effectiveness and implementation. A HFrEF polypill-based strategy was viewed as highly acceptable, appropriate, and feasible by patients and physicians. Participants described key priorities in HFrEF polypill design, titratability, and potential impacts on health equity that will directly inform future randomized controlled trials.

Improvement of Care Cascade for Hypertension and Diabetes in Rural China: Protocol for an Implementation Study.

The management of hypertension and diabetes poses significant challenges to China's healthcare system, necessitating seamless patient progression through screening, diagnosis, management, and control. Utilizing the care cascade model, this study aims to systematically identify patient drop-offs and devise strategies to address healthcare delivery bottlenecks for hypertension and diabetes in rural China. This study consists of three phases. In Phase 1, qualitative interviews are conducted to explore healthcare experiences and identify determinants across the care cascade. Phase 2 involves systematically assessing barriers identified in Phase 1 and collaborating with local stakeholders using intervention mapping and co-design to generate interventions and implementation strategies. Phase 3 is a cluster randomized controlled trial involving 48 villages, randomly assigned in a 1:1 ratio, to compare changes in hypertension and diabetes care. Intervention villages will implement interventions developed in Phase 2 for 1 year, while control villages will continue with usual care. Primary outcomes include between-group differences in achieving blood pressure and glycemic targets, along with service and implementation outcomes. This study aims to identify the stage with the largest patient retention gap in the care cascade and develop intervention strategies through participatory co-design with practitioners, emphasizing feasible, low-cost approaches. The pragmatic cluster RCT will assess strategy effectiveness, offering valuable insights for practical interventions to enhance hypertension and diabetes care in rural settings, potentially shaping impactful programs and improving healthcare outcomes. Trial Registration: ClinicalTrials.gov. identifier: NCT06141278.