Formative Evaluation of an Evidence-Based Intervention to Reduce Long-Term Foster Care: Assessing Readiness for Summative Evaluation

2014 ◽  
Vol 8 (4) ◽  
pp. 354-374 ◽  
Author(s):  
Becci A. Akin ◽  
Mark F. Testa ◽  
Thomas P. McDonald ◽  
Heidi Melz ◽  
Karen A. Blase ◽  
...  
2020 ◽  
Vol 4 (6) ◽  
pp. 508-514
Author(s):  
Brittany C. Minor ◽  
Jessica Dashner ◽  
Sandra M. Espín Tello ◽  
Rebecca Bollinger ◽  
Marian Keglovits ◽  
...  

AbstractIntroduction:People aging with long-term physical disabilities (PAwLTPD), meaning individuals with onset of disability from birth through midlife, often require long-term support services (LTSS) to remain independence. The LTSS system is fragmented into aging and disability organizations with little communication between them. In addition, there are currently no evidence-based LTSS-type programs listed on the Administration for Community Living website that have been demonstrated to be effective for PAwLTPD. Because of these gaps, we have developed a community-based research network (CBRN), drawing on the practice-based research network model (PBRN), to bring together aging and disability organizations to address the lack of evidence-based programs for PAwLTPD.Materials and Methods:Community-based organizations serving PAwLTPD across the state of Missouri were recruited to join the CBRN. A formative process evaluation of the network was conducted after a year to evaluate the effectiveness of the network.Results:Nine community-based organizations across the state of Missouri joined the CBRN. CBRN members include three centers for independent living (CILs), three area agencies on aging (AAAs), one CIL/AAA hybrid, one non-CIL disability organization, and one non-AAA aging organization. To date, we have held seven meetings, provided educational opportunities for CBRN members, and launched an inaugural research study within the CBRN. Formative evaluation data indicate that CBRN members feel that participation in the CBRN is beneficial.Conclusion:The PBRN model appears to be a feasible framework for use with community-based organizations to facilitate communication between agencies and to support research aimed at addressing the needs of PAwLTPD.


2014 ◽  
Vol 46 ◽  
pp. 285-293 ◽  
Author(s):  
Becci A. Akin ◽  
Susana E. Mariscal ◽  
Linda Bass ◽  
Vickie Burgess McArthur ◽  
Jackie Bhattarai ◽  
...  

2019 ◽  
Vol 2 (1) ◽  
pp. 24
Author(s):  
Mahdieh Aghazadeh

The demand for Evidence-Based Practice "EBP" has been growing for a long-term and yet, there isn't a reply to this growth. Social Workers continue to rely on personal perspective, common sense, tradition when working with their clients in the foster care field as well as their personal beliefs in their assessment and intervention plans. Throughout a journey around the GCC countries to compare the adoption systems, and the social worker's work perspective in all the assessment stages, and tracing to intervention plans or treatment methods; it was noted that social workers still consume and revive an environment free of any evidence-based practices. In order to patch this glitch a sample of a practice sheet that consists of theoretical framework can be used as a temporary solution in order to provide an evidence-based practices in the foster care field.


2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none


BMC Nursing ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Oscar Arrogante ◽  
Gracia María González-Romero ◽  
Eva María López-Torre ◽  
Laura Carrión-García ◽  
Alberto Polo

Abstract Background Formative and summative evaluation are widely employed in simulated-based assessment. The aims of our study were to evaluate the acquisition of nursing competencies through clinical simulation in undergraduate nursing students and to compare their satisfaction with this methodology using these two evaluation strategies. Methods Two hundred eighteen undergraduate nursing students participated in a cross-sectional study, using a mixed-method. MAES© (self-learning methodology in simulated environments) sessions were developed to assess students by formative evaluation. Objective Structured Clinical Examination sessions were conducted to assess students by summative evaluation. Simulated scenarios recreated clinical cases of critical patients. Students´ performance in all simulated scenarios were assessed using checklists. A validated questionnaire was used to evaluate satisfaction with clinical simulation. Quantitative data were analysed using the IBM SPSS Statistics version 24.0 software, whereas qualitative data were analysed using the ATLAS-ti version 8.0 software. Results Most nursing students showed adequate clinical competence. Satisfaction with clinical simulation was higher when students were assessed using formative evaluation. The main students’ complaints with summative evaluation were related to reduced time for performing simulated scenarios and increased anxiety during their clinical performance. Conclusion The best solution to reduce students’ complaints with summative evaluation is to orient them to the simulated environment. It should be recommended to combine both evaluation strategies in simulated-based assessment, providing students feedback in summative evaluation, as well as evaluating their achievement of learning outcomes in formative evaluation.


Obesity Facts ◽  
2021 ◽  
pp. 1-14
Author(s):  
R. James Stubbs ◽  
Cristiana Duarte ◽  
António L. Palmeira ◽  
Falko F. Sniehotta ◽  
Graham Horgan ◽  
...  

<b><i>Background:</i></b> Effective interventions and commercial programmes for weight loss (WL) are widely available, but most people regain weight. Few effective WL maintenance (WLM) solutions exist. The most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action planning and control, building self-efficacy, and techniques that promote autonomous motivation (e.g., provide choice). Stress management and emotion regulation techniques show potential for prevention of relapse and weight regain. Digital technologies (including networked-wireless tracking technologies, online tools and smartphone apps, multimedia resources, and internet-based support) offer attractive tools for teaching and supporting long-term behaviour change techniques. However, many digital offerings for weight management tend not to include evidence-based content and the evidence base is still limited. <b><i>The Project:</i></b> First, the project examined why, when, and how many European citizens make WL and WLM attempts and how successful they are. Second, the project employed the most up-to-date behavioural science research to develop a digital toolkit for WLM based on 2 key conditions, i.e., self-management (self-regulation and motivation) of behaviour and self-management of emotional responses for WLM. Then, the NoHoW trial tested the efficacy of this digital toolkit in adults who achieved clinically significant (≥5%) WL in the previous 12 months (initial BMI ≥25). The primary outcome was change in weight (kg) at 12 months from baseline. Secondary outcomes included biological, psychological, and behavioural moderators and mediators of long-term energy balance (EB) behaviours, and user experience, acceptability, and cost-effectiveness. <b><i>Impact:</i></b> The project will directly feed results from studies on European consumer behaviour, design and evaluation of digital toolkits self-management of EB behaviours into development of new products and services for WLM and digital health. The project has developed a framework and digital architecture for interventions in the context of EB tracking and will generate results that will help inform the next generation of personalised interventions for effective self-management of weight and health.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 599-600
Author(s):  
Tracy Mitzner ◽  
Elena Remillard ◽  
Kara Cohen ◽  
Jordan Chen

Abstract Tele-technologies may be able to increase access to evidence-based exercise interventions for adults aging with long-term mobility disabilities. This population experiences substantial barriers in attending such programs in person, including lack of transportation to classes, inaccessible buildings where classes are held, and lack of appropriate modifications offered for this population of older adults. It is critical to overcome such barriers to ensure this population has an opportunity to receive the benefits of evidence-based programs. In this study we are translating an in-person evidence-based tai chi intervention, Tai Chi for Arthritis, to an online platform using videoconferencing software for those aging with long-term mobility disabilities. We will describe our approach of including users from the target population and industry representatives (videoconferencing software developer, Tai Chi for Arthritis program developer as well as local master trainer) in the adaptation of the intervention and present the key findings from doing so.


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