Speech sound disorder or DLD (phonology)? Towards a consensus agreement on terminology.

BACKGROUND: The publication of phase 2 of the CATALISE project in 2017 clarified terminology for children with developmental language disorder (DLD) or delay but unintentionally muddied the water for children with unintelligible speech. A diagnostic label of DLD (phonology) indicates poor prognosis and phonological disorder that persists into middle childhood. However, in contrast to other diagnostic labels that fall under the overarching term of speech sound disorder (SSD), DLD (phonology) does not elucidate the characteristics of the child's speech nor does it point us in the direction of appropriate intervention. AIMS: The aim of this paper is to discuss terminology in SSD leading to an evidence-based model which builds on the model of DLD developed in CATALISE, supports descriptive diagnosis and signposts intervention. METHODS: Following a focused review of literature proposing or describing terminology for SSD, an expert group of researchers in developmental SSD proposed a revised model of existing terminology. Groups of UK speech and language therapists (SLTs) who provide services for children with SSD were asked to comment on its acceptability and feasibility. DISCUSSION: A three-level terminology model was developed. This comprised an overarching Level 1 term; Level 2 terms that differentiated SSD of unknown origin from SSD with associated or underlying conditions; and specific diagnostic terms at Level 3 to support further assessment and intervention decisions. Consulted SLTs generally expressed agreement with the proposed terminology and a willingness to adopt it in practice. CONCLUSIONS: Existing terminology for childhood SSD provides a good basis for clinical decision-making. A modified version of Dodd's (2005) terminology was found to be acceptable to UK SLTs. There is an evident overlap of SSD with CATALISE terminology. However more detailed and specialist terminology than 'DLD (phonology)' is required to support clinical decision-making. It is proposed that endorsement by the UK Royal College of Speech and Language Therapists would obviate the need for a Delphi process. WHAT THIS PAPER ADDS: What is already known on this subject Over nearly a hundred years, as our knowledge and understanding of speech sound disorder (SSD) has increased, so has the terminology that is used to describe those disorders. Current terminology not only describes subtypes of SSD but can also signpost us to effective interventions. With the publication, in 2017, of phase 2 of CATALISE a new term of 'developmental language disorder (DLD) (phonology)' was introduced with the unintentional consequence of challenging more specific descriptive terms for SSD. What this paper adds In the context of CATALISE and DLD (phonology), the history and nature of SSD terminology are reappraised. Building on the model of DLD developed in CATALISE, a tiered model that supports descriptive diagnosis and signposts intervention is proposed for discussion. Clinical implications of this study The proposed model of terminology for SSD provides descriptive and detailed labels that will support accuracy in differential diagnosis of developmental SSD by speech and language therapists. Furthermore, a decision-making tree for SSD demonstrates the pathway from diagnostic use of the terminology to the selection of evidence-based, effective interventions.

Challenges faced with the implementation of Web-Based Data Query Systems for population health: development of a questionnaire based on expert consensus.

BACKGROUND: State health agencies (SHA) and local health agencies (LHA) face several challenges with the dissemination of local health data using Web-Based Data Query Systems (WDQS). To help guide future research, this study aimed to utilize expert consensus to identify the most relevant items that contribute to these challenges. METHODS: A total of 17 researchers and public health professionals agreed to participate in a three-round Delphi process. In round 1, four topics were represented on a 42-item questionnaire using a 5-point Likert scale, along with free-text responses. Free-text responses were analyzed leading to a series of items for a second Delphi round. Participants were given an opportunity to revise results in round 3 for items that did not meet consensus in round 1 or round 2. Consensus on expert opinions was defined at interquartile range (IQR) ≤ 1. RESULTS: The experts reached consensus on a total of 21 (50%) of the 42 items presented in the initial questionnaire. Eleven of the 15 (73%) of the items extracted from the free-text responses met consensus. Items in consensus from this pilot study were used to develop an instrument for a broader survey across Behavioral Risk Factor Surveillance System (BRFSS) coordinators across all 50 US states. CONCLUSION: Experts confirmed that software development costs, inadequate human resources, data sharing gaps, a lack of political support, and poor data quality contribute significantly to challenges in their data implementation. The findings from this pilot study inform us of items of public health significance that will help guide future research.

Team based learning in nursing and midwifery higher education; a systematic review of the evidence for change.

REVIEW AIM: The aim of this study is to review the evidence in relation to the experiences and outcomes of students on nursing and/or midwifery higher education programmes, who experience team based learning. REVIEW OBJECTIVES: To examine the relationship between team based learning and attainment for nursing and midwifery students in professional higher education. To examine the relationship between team based learning and student satisfaction for nurses and midwifery students in higher education. To identify and report examples of good practice in the implementation of team based learning in Nursing and Midwifery higher education. DESIGN: A systematic Review of the literature was undertaken. The population were nurses and midwives studying on higher education pre and post registration professional programmes. The intervention was learning and teaching activities based on a team-based learning approach. Data sources included CINAHL and MEDLINE. ERIC and Index to Theses were also searched. REVIEW METHODS: International research papers published in English between 2011 and 2017 that met the inclusion criteria were included in the study. Papers that met the criteria were subjected to quality appraisal and agreement amongst authors for inclusion in the review. RESULTS: A total of sixteen papers were reviewed and four themes emerged for discussion. These were Student Engagement, Student Satisfaction, Attainment and Practice Development and Transformational Teaching and Learning. CONCLUSIONS: There is a tentative, though growing body of evidence to support TBL as a strategy that can impact on student engagement, student satisfaction, attainment, practice development and transformative teaching and learning. The literature indicates that implementing TBL within the curriculum is not without challenge and requires a sustained and structured approach. Staff and students need to understand the processes involved, and why they should be adhered to, in the pursuit of enhanced student experiences and outcomes for nurses and midwives in Higher Education.

Public Attitudes and Support for a Sugar-Sweetened Beverage Tax in America's Heartland.

BACKGROUND: Policy and environmental strategies are part of a comprehensive approach to obesity prevention. We investigated the association between public attitudes about how the environment influences health and support for a sugar-sweetened beverage (SSB) tax in Kansas. METHOD: We collected data via a 2014 representative dual-frame (cellular and landline) telephone survey of 2,203 adult Kansans regarding healthy eating policy support and beliefs about obesity causes and solutions. RESULTS: A significant proportion of Kansas adults (40%) support an SSB tax. Support was significantly stronger among females, young people, and liberals. Causal and responsibility attributions of obesity were significantly associated with policy support. Individuals who attribute more responsibility for the solution to the obesity epidemic to environmental factors were more likely to support a tax, regardless of their political affiliation. CONCLUSIONS: Messaging that focuses on the role of the environment in creating opportunities for health may be useful in framing discussions around SSB taxes.

Program Implementation Approaches to Build and Sustain Health Care Coordination for Type 2 Diabetes.

BACKGROUND: As more people enter the U.S. health care system under the Affordable Care Act (ACA), it is increasingly critical to deliver coordinated, high-quality health care. The ACA supports implementation and sustainability of efficient health care models, given expected limits in available resources. This article highlights implementation strategies to build and sustain care coordination, particularly ones consistent with and reinforced by the ACA. It focuses on disease self-management programs to improve the health of patients with type 2 diabetes, exemplified by grantees of the Alliance to Reduce Disparities in Diabetes. METHOD: We conducted interviews with grantee program representatives throughout their 5-year programs and conducted a qualitative framework analysis of data to identify key themes related to care coordination. RESULTS: The most promising care coordination strategies that grantee programs described included establishing clinic-community collaborations, embedding community health workers within care management teams, and sharing electronic data. Establishing provider buy-in was crucial for these strategies to be effective. DISCUSSION: This article adds new insights into strategies promoting effective care coordination. The strategies that grantees implemented throughout the program align with ACA requirements, underscoring their relevance to the changing U.S. health care environment and the likelihood of further support for program sustainability.

Improving the implementation of diabetes self-management: findings from the Alliance to Reduce Disparities in Diabetes.

To enhance the health and well-being of patients managing type 2 diabetes, the five grantees comprising the Alliance to Reduce Disparities in Diabetes implemented evidence-based approaches to patient self-management education as part of their programs. This article describes strategies implemented by the grantees that may help explain program success, defined as improvement in clinical values and patient-reported outcomes. A process evaluation of grantee programs included interviews and document review at the beginning, midpoint, and end of the Alliance initiative. A total of 97 interviews were conducted over time with 65 program representatives. The Alliance programs served 2,328 people from diverse racial and ethnic backgrounds and provided 36,826 diabetes self-management sessions across the intervention sites. Framework analysis of the interviews identified four key themes that emerged across time and program sites that may help account for program success: empowerment, increasing access and support, addressing local needs and barriers, and care coordination. The overall evaluation findings may help other diabetes self-management programs seeking to translate and implement evidence-based approaches to reduce disparities and enhance patient well-being.

How accurate are Americans' perceptions of their own weight?

As obesity/overweight has increased in the United States (Centers for Disease Control and Prevention, 2009 ), studies have found that Americans' perceptions of their own weight often are not aligned with their actual body mass index (BMI; Brener et al., 2004 ; Christakis, 2003; Johnson-Taylor et al., 2008 ). Taylor, Funk, and Craighill ( 2006 ) found that half of Americans whose BMI indicated they were overweight perceived their weight to be just about right. The purpose of this study was to examine factors that influence the accuracy of weight self-perceptions and whether accuracy influences health behaviors. Using data from the 2007 Health Information National Trends Survey, the authors compared respondents' weight self-perceptions to their actual BMI to determine the accuracy of their weight self-perceptions. About 28%of respondents were obese, 35%were overweight, 35%were of normal weight, and 2%were underweight. About three quarters of the sample's self-perceptions of weight were aligned with their BMI. About 10%of the sample had a BMI that indicated they were overweight, but they perceived themselves to be of normal weight; about 10%were of normal weight but perceived themselves to be overweight; and about 5%of respondents were of normal weight but thought they were underweight. Gender, race, and education were associated with the accuracy of respondents' weight perceptions. Results suggest that asking patients about their weight self-perceptions could be useful in clinical settings and that weight perception accuracy could be used to segment audiences and tailor messages.