scholarly journals Utilizing a Radiation Therapist Champion Model to Improve ESAS-r/EPIC Completion Rates During the COVID-19 Pandemic

2021 ◽  
Vol 52 (2) ◽  
pp. S10
Author(s):  
Giovanna Wu ◽  
Kimberly McBride
1987 ◽  
Vol 26 (02) ◽  
pp. 73-76 ◽  
Author(s):  
Kathryn Rowan ◽  
P. Byass ◽  
R. W. Snow

SummaryThis paper reports on a computerised approach to the management of an epidemiological field trial, which aimed at determining the effects of insecticide-impregnated bed nets on the incidence of malaria in children. The development of a data system satisfying the requirements of the project and its implementation using a database management system are discussed. The advantages of this method of management in terms of rapid processing of and access to data from the study are described, together with the completion rates and error rates observed in data collection.


2012 ◽  
Author(s):  
Dimitris Andriosopoulos ◽  
Hafiz Hoque ◽  
Kostas D. Andriosopoulos

2020 ◽  
Author(s):  
Kate Lawler ◽  
Caroline Earley ◽  
Ladislav Timulak ◽  
Angel Enrique ◽  
Derek Richards

BACKGROUND Treatment dropout continues to be reported from iCBT interventions and lower completion rates are generally associated with lower treatment effect sizes. However, evidence is emerging to suggest that completion of a pre-defined number of modules is not always necessary for clinical benefit nor considerate of the needs of each individual patient. OBJECTIVE The study aimed to carry out a qualitative analysis of patients’ experiences of an iCBT intervention in a routine care setting in order to achieve a deeper insight into the phenomenon of dropout. METHODS Fifteen purposively sampled participants (8 female) from a larger parent RCT were interviewed via telephone using a semi-structured interview schedule that was developed from the existing literature and research on dropout in iCBT. Data was analysed using the descriptive-interpretive approach. RESULTS The experience of treatment leading to dropout can be understood in terms of ten domains: Relationship to Technology, Motivation to Start, Background Knowledge and Attitudes towards iCBT, Perceived Change in Motivation, Usage of the Programme, Changes due to the Intervention, Engagement with Content, Experience Interacting with the Supporter, Experience of Online Communication and Termination of the Supported Period. CONCLUSIONS Patients who drop out of treatment can be distinguished in terms of their change in motivation: those who felt ready to leave treatment early and those who had negative reasons for dropping out. These two groups of participants have different treatment experiences, revealing potential attributes and non-attributes of dropout. The reported between group differences should be examined further to consider those attributes that are strongly descriptive of the experience and regarded with less importance those that have become loosely affiliated.


2021 ◽  
pp. 135910452199970
Author(s):  
Naomi Gibbons ◽  
Emma Harrison ◽  
Paul Stallard

Background: There is increased emphasis on the national reporting of Routine Outcome Measures (ROMS) as a way of improving Child and Adolescent Mental Health Services (CAMHS). This data needs to be viewed in context so that reasons for outcome completion rates are understood and monitored over time. Method: We undertook an in-depth prospective audit of consecutive referrals accepted into the Bath and North East Somerset, Swindon and Wiltshire (BSW) CAMHS service from November 2017 to January 2018 ( n = 1074) and April to September 2019 ( n = 1172). Results: Across both audits 90% of those offered an appointment were seen with three quarters completing baseline ROMS. One in three were not seen again with around 30% still being open to the service at the end of each audit. Of those closed to the service, paired ROMS were obtained for 46% to 60% of cases. There were few changes in referral problems or complexity factors over time. Conclusion: Understanding the referral journey and the reasons for attrition will help to put nationally collected data in context and can inform and monitor service transformation over time.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Nicholas Petty ◽  
Dakota King-White ◽  
Tachelle Banks

Abstract Throughout the United States there are millions of Black and Brown students starting the process of attending college. However, research indicates that students from traditionally marginalized groups are less likely than their counterparts to complete the process and graduate college (Shapiro et al., 2017). While retention rates for students from traditionally marginalized backgrounds continue to decline, universities are beginning to pay attention to the needs of this population in search of ways of better supporting them. The examination of these factors may also inform programmatic adjustments, leadership philosophies, and future practices to help retain students and lead to eventual completion of a baccalaureate degree. In this article, the authors review the literature to explore factors that can affect Black and Brown students’ completion rates in higher education. By reviewing the literature and the factors impacting Black and Brown students, the authors share with readers initiatives at one university that are being used to support students from a strengths-based approach.


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