Battery-electric buses and their implementation barriers: Analysis and prospects for sustainability

2022 ◽  
Vol 51 ◽  
pp. 101896
Author(s):  
Alyson L.P. Rodrigues ◽  
Sonia. R.C. Seixas
Keyword(s):  
Implementation Barriers

Barriers to infection prevention and control practice among Amhara region teaching hospitals in Ethiopia: Qualitative study

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Walelegn Worku Yallew ◽  
Abera Kumie ◽  
Feleke Moges Yehuala
Keyword(s):  
Healthcare Worker ◽  
Prevention And Control ◽  
Healthcare Workers ◽  
Infection Prevention ◽  
Teaching Hospitals ◽  
Infection Prevention And Control ◽  
Amhara Region ◽  
Implementation Barriers ◽  
Control Practice ◽  
And Control

Healthcare workers have good perception towards infection prevention, but there has been a poor practice towards it. Therefore, the aim of this study was to explore barriers to practice of infection prevention and control practice in teaching hospitals in Amhara region. A phenomenological approach used to explore the lived experience of healthcare workers and management staffs towards infection prevention practice and control. The data was collected from ten in-depth interviews and 23 focus group discussion participants, by face to face interview using open ended interview performed in safe and quiet places. Data was managed using OpenCode software version 4.03 and contents were analyzed thematically. Totally ten different barriers were identified, such as availability of facilities, shortage of material supply, lack of maintenance of facilities and equipment, high patient flow, experience, emergency situation, healthcare worker behaviour and healthcare worker’s information about infection prevention, low awareness of patients and visitors and overflow of families and visitors to the hospital. For effective infection prevention practice implementation, barriers should be considered via identifying specific organizational, healthcare worker, patients and visitors as targets.

A Process Evaluation of San Francisco’s Law Enforcement Assisted Diversion Program

2021 ◽  
pp. 088740342110333
Author(s):  
Erica Jovanna Magaña ◽  
Dina Perrone ◽  
Aili Malm
Keyword(s):  
Law Enforcement ◽  
San Francisco ◽  
Program Implementation ◽  
Relationship Building ◽  
Barriers And Facilitators ◽  
Implementation Barriers ◽  
Diversion Program ◽  
Drug Laws ◽  
Point Of Entry ◽  
Reducing Recidivism

In 2016, San Francisco (SF) implemented the Law Enforcement Assisted Diversion (LEAD) program, a harm reduction–based pre-booking diversion system for people who violate drug laws and/or are engaged in sex work. LEAD is set apart from existing diversion programs, as it uses police as point of entry. Prior LEAD studies indicate some success in reducing recidivism and improving life outcomes. However, less is known about program implementation, including barriers and facilitators. Relying on policy documents, interviews, and focus groups, this study describes the LEAD SF’s development, operations, adaptations, and challenges. It also identifies the unique context of LEAD SF that led to implementation barriers and facilitators. Results show that SF experienced success in collaboration, relationship building, and client connections to services but experienced challenges in securing and maintaining police officer buy-in and keeping clear and open lines of communication regarding LEAD goals, objectives, policies, and procedures. This led to the termination of LEAD SF in 2020.

scholarly journals A75 IMPLEMENTING A CIRRHOSIS ORDER SET: A QUALITATIVE ANALYSIS OF PROVIDER-IDENTIFIED BARRIERS AND FACILITATORS

2021 ◽  
Vol 4 (Supplement_1) ◽  
pp. 41-42
Author(s):  
E Johnson ◽  
M Carbonneau ◽  
D Campbell-Scherer ◽  
P Tandon ◽  
A Hyde
Keyword(s):  
Focus Groups ◽  
Gastrointestinal Disease ◽  
Pragmatic Trial ◽  
Healthcare Providers ◽  
Structured Interview ◽  
Barriers And Facilitators ◽  
Care Utilization ◽  
Implementation Barriers ◽  
Mortality And Morbidity ◽  
Order Set

Abstract Background Cirrhosis is the leading cause of mortality and morbidity in individuals with gastrointestinal disease. Multiple care gaps exist for hospitalized patients with cirrhosis, resulting in high rates of re-hospitalization (e.g. 44% at 90 days in Alberta). The Cirrhosis Care Alberta (CCAB) is a 4-year multi-component pragmatic trial with an aim to reduce acute-care utilization by implementing an electronic order set and supporting education across eight hospital sites in Alberta. Aims As part of the pre-implementation evaluation, this qualitative study analyzed data from provider focus groups to identify barriers and facilitators to implementation. Methods We conducted focus groups at eight hospital sites with a total of 54 healthcare providers (3–12 per site). A semi-structured interview guide based upon constructs of the Consolidated Framework for Implementation Research (CFIR) and Normalization Process Theory (NPT) frameworks was used to guide the focus groups. Focus groups were recorded and transcribed verbatim. Data was analyzed thematically and inductively. Results Five major themes emerged across all eight sites: (i) understanding past implementation experiences, (ii) resource challenges, (iii) competing priorities among healthcare providers, (iv) system challenges, and (v) urban versus rural differences. Site-specific barriers included perceived lack of patient flow, time restraints, and concerns about the quality and quantity of past implementation interventions. Facilitators included passionate project champions, and an ample feedback process. Conclusions Focus groups were useful for identifying pre-implementation barriers and facilitators of an electronic orders set. Findings from this study are being refined to address the influence of COVID-19, and the data will be used to inform the intervention roll-out at each of the sites. Funding Agencies Alberta Innovates

scholarly journals The Science Behind Safe School Re-Opening: Leveraging the Pillars of Infection Control to Support Safe Elementary and Secondary Education During the COVID-19 Pandemic

2021 ◽  
Author(s):  
Elissa M Schechter-Perkins ◽  
Polly van den Berg ◽  
Westyn Branch-Elliman
Keyword(s):  
Infection Control ◽  
Infection Prevention ◽  
Diagnostic Testing ◽  
Current Evidence ◽  
Implementation Barriers ◽  
Safe School ◽  
Elementary And Secondary Education ◽  
School Settings ◽  
Environmental Controls ◽  
Prevention Interventions

Abstract There are limited tools for adapting COVID-19 infection control plans to school settings. We present an infection prevention model for optimizing safe re-opening for elementary and secondary schools during the global COVID-19 pandemic and review the current evidence behind various infection prevention interventions in school settings. The model is adapted from the Centers for Disease Control and Prevention fundamental pillars for infection prevention, and includes four categories of intervention: epidemiologic controls (town prevalence metrics, diagnostic testing, quarantine strategies), administrative controls (state vaccination policies, alternative school models, symptom screens, quarantine breaks), engineering/environmental controls (distancing, outdoor space, ventilation), and personal protective equipment (PPE)/Hand hygiene (face coverings, hand sanitizing). The adapted infection control pillars model utilizes implementation-science informed considerations to maximize pragmatism and adherence by leveraging evidence-based strategies. It highlights the necessity of redundant infection prevention interventions, acknowledges the importance of community buy-in to achieve real-world effectiveness, and addresses tactics to overcome implementation barriers. Recommendations are grounded in the Dynamic Sustainability Framework and include suggestions to maintain infection prevention effectiveness over time to ensure ongoing safety.

Injury prevention knowledge, beliefs and strategies in elite female footballers at the FIFA Women’s World Cup France 2019

2021 ◽  
pp. bjsports-2020-103131
Author(s):  
Celeste Geertsema ◽  
Liesel Geertsema ◽  
Abdulaziz Farooq ◽  
Joar Harøy ◽  
Chelsea Oester ◽  
...  
Keyword(s):  
Risk Factors ◽  
Injury Prevention ◽  
Injury Risk ◽  
Risk Level ◽  
Attitudes And Beliefs ◽  
Implementation Barriers ◽  
World Cup ◽  
Positive Attitudes ◽  
High Level ◽  
Women's Football

ObjectivesThis study assessed knowledge, beliefs and practices of elite female footballers regarding injury prevention.MethodsA survey was sent to players participating in the FIFA Women’s World Cup France 2019. Questions covered three injury prevention domains: (1) knowledge; (2) attitudes and beliefs; (3) prevention practices in domestic clubs. Additionally, ACL injury history was assessed.ResultsOut of 552 players, 196 women responded (35.5%). More than 80% of these considered injury risk to be moderate or high. Players listed knee, ankle, thigh, head and groin as the most important injuries in women’s football. The most important risk factors identified were low muscle strength, followed by poor pitch quality, playing on artificial turf, too much training, reduced recovery and hard tackles. In these elite players, 15% did not have any permanent medical staff in their domestic clubs, yet more than 75% had received injury prevention advice and more than 80% performed injury prevention exercises in their clubs. Players identified the two most important implementation barriers as player motivation and coach attitude. Two-thirds of players used the FIFA 11+ programme in their clubs.ConclusionsThis diverse group of elite players demonstrated good knowledge of risk level and injury types in women’s football. Of the risk factors emphasised by players, there was only one intrinsic risk factor (strength), but several factors out of their control (pitch quality and type, training volume and hard tackles). Still players had positive attitudes and beliefs regarding injury prevention exercises and indicated a high level of implementation, despite a lack of medical support.

scholarly journals Novel Methodology to Measure Preprocedure Antimicrobial Prophylaxis: Integrating Text Mining With Structured Data

2020 ◽  
Vol 41 (S1) ◽  
pp. s12-s13
Author(s):  
Hillary Mull ◽  
Kelly Stolzmann ◽  
Emily Kalver ◽  
Marlena Shin ◽  
Marin Schweizer ◽  
...  
Keyword(s):  
Antimicrobial Prophylaxis ◽  
High Sensitivity ◽  
Structured Data ◽  
Fiscal Year ◽  
Veterans Health ◽  
Health Administration ◽  
Implementation Barriers ◽  
Cardiac Device ◽  
Device Infection ◽  
Manual Review

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 combine structured and unstructured data from the Veterans’ Health Administration (VA) EMR to create an electronic tool for measuring preincisional antimicrobial prophylaxis. We assessed this methodology in 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. Next, we iteratively combined positive flags for an antimicrobial order or drug fill from structured data fields in the EMR and hits on text string searches of antimicrobial names documented in electronic clinical notes to optimize an algorithm to flag preincisional antimicrobial use with high sensitivity and specificity. 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 then validated the performance of the final version of the algorithm using a national cohort of VA patients who underwent cardiac device procedures in FY 2016 or 2017. Discordant cases underwent expert manual review to identify reasons for algorithm misclassification and to identify potential future implementation barriers. Results: The CART-EP dataset included 2,102 procedures at 38 VA facilities with manually identified antimicrobial prophylaxis in 2,056 cases (97.8%). The final algorithm combining structured EMR fields and text-note search results flagged 2,048 of the CART-EP cases (97.4%). Algorithm validation identified antimicrobial prophylaxis in 16,334 of 19,212 cardiac device procedures (87.9%). Misclassifications occurred due to EMR documentation issues. 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 that does not rely on manual review. In addition to broad applicability in the VA and other healthcare systems with EMRs, this method could be adapted for other procedural areas in which antimicrobial prophylaxis is recommended but comprehensive measurement has been limited to resource-intense manual review.Funding: NoneDisclosures: None

scholarly journals Hypertensive disorders of pregnancy (HDP) management pathways: results of a Delphi survey to contextualise international recommendations for Indonesian primary care settings

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fitriana Murriya Ekawati ◽  
Sharon Licqurish ◽  
Jane Gunn ◽  
Shaun Brennecke ◽  
Phyllis Lau
Keyword(s):  
Primary Care ◽  
Primary Care Providers ◽  
Delphi Survey ◽  
Care Practice ◽  
Free Text ◽  
Care Providers ◽  
Hypertensive Disorders Of Pregnancy ◽  
Implementation Barriers ◽  
Primary Care Settings ◽  
Hypertensive Disorders

Abstract Background Hypertensive disorders of pregnancy (HDP) are a significant contributor to the high maternal mortality rate in Indonesia. At the moment, limited guidelines are available to assist primary care providers in managing HDP cases. A previous review of 16 international HDP guidelines has identified opportunities for improving HDP management in Indonesian primary care, but it has not determined the suitability of the recommendations in practice. This study aims to achieve consensus among the experts regarding the recommendations suitability and to develop HDP pathways in Indonesian primary care. Methods Maternal health experts, including GPs, midwives, nurses, medical specialists and health policy researchers from Indonesia and overseas were recruited for the study. They participated in a consensus development process that applied a mix of quantitative and qualitative questions in three Delphi survey rounds. At the first and second-round survey, the participants were asked to rate their agreement on whether each of 125 statements about HDP and HDP management is appropriate for use in Indonesian primary care settings. The third-round survey presented the drafts of HDP pathways and sought participants’ agreement and further suggestions. The participants’ agreement scores were calculated with a statement needing a minimum of 70% agreement to be included in the HDP pathways. The participants’ responses and suggestions to the free text questions were analysed thematically. Results A total of 52 participants were included, with 48, 45 and 37 of them completing the first, second and third round of the survey respectively. Consensus was reached for 115 of the 125 statements on HDP definition, screening, management and long-term follow-up. Agreement scores for the statements ranged from 70.8–100.0%, and potential implementation barriers of the pathways were identified. Drafts of HDP management pathways were also agreed upon and received suggestions from the participants. Conclusions Most evidence-based management recommendations achieved consensus and were included in the developed HDP management pathways, which can potentially be implemented in Indonesian settings. Further investigations are needed to explore the acceptability and feasibility of the developed HDP pathways in primary care practice.

scholarly journals Data-driven approach for tailoring facilitation strategies to overcome implementation barriers in community pharmacy

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Lydia Moussa ◽  
Shalom Benrimoj ◽  
Katarzyna Musial ◽  
Simon Kocbek ◽  
Victoria Garcia-Cardenas
Keyword(s):  
Random Forest ◽  
Community Pharmacy ◽  
Implementation Research ◽  
Theoretical Domains Framework ◽  
Professional Services ◽  
Data Driven ◽  
Machine Learning Techniques ◽  
Community Pharmacies ◽  
Continuous Change ◽  
Implementation Barriers

Abstract Background Implementation research has delved into barriers to implementing change and interventions for the implementation of innovation in practice. There remains a gap, however, that fails to connect implementation barriers to the most effective implementation strategies and provide a more tailored approach during implementation. This study aimed to explore barriers for the implementation of professional services in community pharmacies and to predict the effectiveness of facilitation strategies to overcome implementation barriers using machine learning techniques. Methods Six change facilitators facilitated a 2-year change programme aimed at implementing professional services across community pharmacies in Australia. A mixed methods approach was used where barriers were identified by change facilitators during the implementation study. Change facilitators trialled and recorded tailored facilitation strategies delivered to overcome identified barriers. Barriers were coded according to implementation factors derived from the Consolidated Framework for Implementation Research and the Theoretical Domains Framework. Tailored facilitation strategies were coded into 16 facilitation categories. To predict the effectiveness of these strategies, data mining with random forest was used to provide the highest level of accuracy. A predictive resolution percentage was established for each implementation strategy in relation to the barriers that were resolved by that particular strategy. Results During the 2-year programme, 1131 barriers and facilitation strategies were recorded by change facilitators. The most frequently identified barriers were a ‘lack of ability to plan for change’, ‘lack of internal supporters for the change’, ‘lack of knowledge and experience’, ‘lack of monitoring and feedback’, ‘lack of individual alignment with the change’, ‘undefined change objectives’, ‘lack of objective feedback’ and ‘lack of time’. The random forest algorithm used was able to provide 96.9% prediction accuracy. The strategy category with the highest predicted resolution rate across the most number of implementation barriers was ‘to empower stakeholders to develop objectives and solve problems’. Conclusions Results from this study have provided a better understanding of implementation barriers in community pharmacy and how data-driven approaches can be used to predict the effectiveness of facilitation strategies to overcome implementation barriers. Tailored facilitation strategies such as these can increase the rate of real-time implementation of innovations in healthcare, leading to an industry that can confidently and efficiently adapt to continuous change.

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