Recurrent time-to-event models with ordinal outcomes

A model to accommodate time-to-event ordinal outcomes was proposed by Berridge and Whitehead. Very few studies have adopted this approach, despite its appeal in incorporating several ordered categories of event outcome. More recently, there has been increased interest in utilizing recurrent events to analyze practical endpoints in the study of disease history and to help quantify the changing pattern of disease over time. For example, in studies of heart failure, the analysis of a single fatal event no longer provides sufficient clinical information to manage the disease. Similarly, the grade/frequency/severity of adverse events may be more important than simply prolonged survival in studies of toxic therapies in oncology. We propose an extension of the ordinal time-to-event model to allow for multiple/recurrent events in the case of marginal models (where all subjects are at risk for each recurrence, irrespective of whether they have experienced previous recurrences) and conditional models (subjects are at risk of a recurrence only if they have experienced a previous recurrence). These models rely on marginal and conditional estimates of the instantaneous baseline hazard and provide estimates of the probabilities of an event of each severity for each recurrence over time. We outline how confidence intervals for these probabilities can be constructed and illustrate how to fit these models and provide examples of the methods, together with an interpretation of the results.     

Why do couples seek relationship help online? Description and comparison to in‐person interventions

Couples are increasingly utilizing newly developed online adaptations of couple therapy; however, different presenting problems could drive couples to seek either online or in‐person services. This study compared the presenting problems of 151 couples seeking an online couple intervention for relationship distress (OurRelationship) with responses from 147 couples seeking in‐person couple therapy. Presenting problems were generally consistent across gender and whether or not the respondent was the initial help‐seeker. Online and in‐person samples frequently endorsed difficulties with communication and emotional intimacy; however, they differentially endorsed trust, time together, and child/parenting difficulties. Therefore, while basing online interventions on existing couple therapies is generally supported, efforts should be made to tailor online services to meet the unique needs of this population.     

Coloniality and Intersectionality in Social Work Education and Practice

The history of social work education is deeply entangled with the structures of White supremacy and coloniality. Through an analysis of coloniality, the system from which social work operates, this article outlines an alternative framework of intersectionality, which decodes the dominant discourse in relation to power, privilege, White supremacy, and gender oppression. The framework of intersectionality moves professional social work pedagogy and practice from the trenches of coloniality toward decoloniality. The concepts of intersectionality and critical consciousness are operationalized to demonstrate how social work education can effect structural and transformational change through de-linking from its white supremacists roots.     

Context-driven gero-infusion: lessons learned from a curriculum development institute cohort

This article describes and compares the successes and challenges experienced by three social work programs in the United States working to infuse geriatric competencies into foundation Master of Social Work (MSW) courses, including field education. Adhering to the Planned Change Model each project utilized a range of approaches and strategies that emerged in each setting’s unique organizational and community context. This article examines and analyzes three context-driven accounts of curricular infusion for gerontological social work and lessons learned in this effort to establish gerontology as part of the implicit curriculum in social work programs in universities diverse in mission, size, programming priorities, and student population. Given the experiences of these programs, following the Planned Change Model, maintaining the context as being central to the process, anticipating common challenges, and preparing to engage strategies to overcome challenges are offered as recommendations for successful infusion and sustainment of the efforts.     

Collaborating with parents during intervention with parental agreement: Practitioner perspectives on procedural justice

With growing concerns about the efficacy and costs of intrusive child protection interventions and increasing recognition of citizen rights to participation in governance, jurisdictions are looking to collaborative alternatives that divert families from the courts and out‐of‐home care. In Queensland (Australia), “intervention with parental agreement” (IPA) is one such response. Under IPA, the statutory child protection authority can work collaboratively with families, without a court order, to respond to children assessed as “in need of protection.” In this paper, we use procedural justice theory as a lens to explore how IPA policy is enacted in practice. Procedural justice relates to the quality of treatment a person receives and the fairness of the process than an authority uses during decision‐making (Tyler, 2006 ). It is associated with voluntary cooperation and compliance; key practice concerns when working to address child maltreatment via parental agreement rather than court ordered intervention. We report on a qualitative study that utilized semistructured, in‐depth interviews to capture the perceptions of 30 practitioners regarding the factors that shape the extent to which they enact IPA policy in a procedurally fair manner. Strategies for enhancing procedurally just enactment of IPA policy in practice are discussed.     

Comparisons of imputation methods with application to assess factors associated with self efficacy of physical activity in breast cancer survivors

ABSTRACT

Missing data are commonly encountered in self-reported measurements and questionnaires. It is crucial to treat missing values using appropriate method to avoid bias and reduction of power. Various types of imputation methods exist, but it is not always clear which method is preferred for imputation of data with non-normal variables. In this paper, we compared four imputation methods: mean imputation, quantile imputation, multiple imputation, and quantile regression multiple imputation (QRMI), using both simulated and real data investigating factors affecting self-efficacy in breast cancer survivors. The results displayed an advantage of using multiple imputation, especially QRMI when data are not normal.     

The two-sample Winsorized t

This paper extends the single-sample Winsorized t to the case of two independent samples. Statistics are defined for both the cases of equal and unequal population variances. Monte Carlo techniques were used to find the approximate distributions of these statistics as well as to evaluate their performances in comparison to the trimmed t . It was found that as far as the power is concerned, the differences between the Winsorized t and the trimmed t are so small that the choice is immaterial for practical purposes.