Patient-generated subjective global assessment:innovation from paper to digital app

Purpose: The Patient-Generated Subjective Global Assessment (PG-SGA), including the PG-SGA Short Form (SF, aka ‘abridged’), was originally developed in the mid 1990’s as a scored, patient self-report, paperbased instrument and has been widely validated. The PG-SGA (SF) has been used for screening, assessment and monitoring, triageing for multimodal intervention and for evaluation of clinical and health economic outcomes. There have been ad hoc translations, often with permission of the originator (FDO) but broad international use requires consistent, medically accurate, and certified translations. Although the PG-SGA (or SF) is known to be quick and easy, current advances in technology could further improve and facilitate quick and easy use of global patient screening and assessment, standardized scoring algorithms, limiting inter-observer variability, and global collaboration and communication. We aimed to develop a user friendly, cross-culturally validated, multilingual digital app and resources to support the clinical and research applications of the PG-SGA (SF) and Pt-Global app in the context of a global centralized database and research consortium. Methods: After completion of a Dutch PG-SGA cross-cultural adaptation project, a digital app based on the English and Dutch PG-SGA was developed. Steps included: 1) development and testing of standardized scoring and decision-making algorithms based on the validated PG-SGA scoring system; 2) compatibility with iOS, Android and WindowsPhone platforms; 3) development and pilot testing of prototype by an international test panel (n=35; professionals testing the app on patients as part of routine care process, researchers, and lay persons) from Australia, Belgium, Canada, Norway, Sweden, The Netherlands and USA, evaluating the app on lay-out, user friendliness, relevance and time of completion; 4) improvement based on input; 5) launch of app and supportive website at www.pt-global.org on 12 Jun 2014, including complimentary introductory use; 5) international education activities; 6) digital presence through Twitter, Facebook, LinkedIn and YouTube; 7) launch of web-based version on 15 September 2014. Results: 15 professionals (Pros; 11 dietitians, 1 doctor, 1 physiotherapist) and 2 lay persons participated in the pilot testing. Included settings were: 9 hospitals, 4 cancer centers, 2 nursing homes, 3 research. 8/15 had experience with the PG-SGA, 7/15 PG-SGA were naïve. 5 Pros tested on 1-5 patients, and 9 on 6-10 patients. 88% rated layout (very) good with feedback: calm, professional, clear, intuitive, easy; 88% rated good for user friendliness. 75% rated flow/user interface (very) good. In 88% Patient screens were completed by Pros. Reported time to complete Patient screens was: 65% in 0-5 minutes, 29% in 5-10 min; 6% (n=1) >10 minutes. Interestingly, patients started completing the app spontaneously. Some issues with concerns about touch screen were expressed. 87% completed the professional section in

Translation and cultural adaptation of the scored Patient-Generated Subjective Global Assessment (PG-SGA©)

Background and aim: The Patient-Generated Subjective Global Assessment (PG-SGA(C)) is a globally used malnutrition screening, assessment, triage and monitoring tool. The aim of this study was to perform a linguistic and content validation of the translated and culturally adapted version of the PG-SGA for the Danish setting. Method: The study was conducted according to the International Society of Pharmaeconomics and Outcomes Research (ISPOR) Principles of Good Practice for the Translational and Cultural Adaptation Process for Patient-Reported Outcomes Measures. Cancer patients (n = 121) and healthcare professionals (HCPs, n = 80) participated in the cognitive debriefing. A questionnaire was used in the cognitive debriefing in which comprehensibility, difficulty, and content validity (relevance) were quantified by a 4-point scale. Item and scale indices were calculated using the average item ratings divided by the number of respondents for content validity (Item-CVI, Scale-CVI), comprehensibility (Item-CI, Scale-CI) and difficulty (Item-DI, Scale-DI). As pre-defined, item indices = 0.90 were defined as excellent and 0.80-0.89 as acceptable. Results: The patient component of the PG-SGA was rated as excellent content validity (Scale-CVI = 0.95) by HCPs and easy to comprehend (Scale-CI = 0.97) and use (Scale-DI = 0.92) by patients. The professional component of the PG-SGA was rated as acceptable content validity (Scale-CVI = 0.80), but below acceptable for comprehension (Scale-CI = 0.71) and difficulty (Scale-DI = 0.69). The physical exam was rated the least comprehensible Item-CI = 0.51-0.70) and most difficult (Item-DI = 0.33-0.063). Conclusion: The PG-SGA was successfully translated and culturally adapted to the Danish setting. Patients found it easy to understand and to complete. Except for the physical exam, HCPs rated the PG-SGA as relevant, comprehensive, and easy to use. Training of HCPs is recommended before implementing the tool into clinical practise. (C) 2021 The Author(s). Published by Elsevier Ltd on behalf of European Society for Clinical Nutrition and Metabolism

Data incongruence and the problem of avian louse phylogeny

Recent studies based on different types of data (i.e. morphological and molecular) have supported conflicting phylogenies for the genera of avian feather lice (Ischnocera: Phthiraptera). We analyse new and published data from morphology and from mitochondrial (12S rRNA and COI) and nuclear (EF1-) genes to explore the sources of this incongruence and explain these conflicts. Character convergence, multiple substitutions at high divergences, and ancient radiation over a short period of time have contributed to the problem of resolving louse phylogeny with the data currently available. We show that apparent incongruence between the molecular datasets is largely attributable to rate variation and nonstationarity of base composition. In contrast, highly significant character incongruence leads to topological incongruence between the molecular and morphological data. We consider ways in which biases in the sequence data could be misleading, using several maximum likelihood models and LogDet corrections. The hierarchical structure of the data is explored using likelihood mapping and SplitsTree methods. Ultimately, we concede there is strong discordance between the molecular and morphological data and apply the conditional combination approach in this case. We conclude that higher level phylogenetic relationships within avian Ischnocera remain extremely problematic. However, consensus between datasets is beginning to converge on a stable phylogeny for avian lice, at and below the familial rank

Program transformations using temporal logic side conditions

This paper describes an approach to program optimisation based on transformations, where temporal logic is used to specify side conditions, and strategies are created which expand the repertoire of transformations and provide a suitable level of abstraction. We demonstrate the power of this approach by developing a set of optimisations using our transformation language and showing how the transformations can be converted into a form which makes it easier to apply them, while maintaining trust in the resulting optimising steps. The approach is illustrated through a transformational case study where we apply several optimisations to a small program

Why and how might genetic and phylogenetic diversity be reflected in the identification of key biodiversity areas?

‘Key biodiversity areas' are defined as sites contributing significantly to the global persistence of biodiversity. The identification of these sites builds from existing approaches based on measures of species and ecosystem diversity and process. Here, we therefore build from the work of Sgró et al. (2011 Evol. Appl. 4, 326–337. (doi:10.1111/j.1752-4571.2010.00157.x)) to extend a framework for how components of genetic diversity might be considered in the identification of key biodiversity areas. We make three recommendations to inform the ongoing process of consolidating a key biodiversity areas standard: (i) thresholds for the threatened species criterion currently consider a site's share of a threatened species' population; expand these to include the proportion of the species' genetic diversity unique to a site; (ii) expand criterion for ‘threatened species' to consider ‘threatened taxa’ and (iii) expand the centre of endemism criterion to identify as key biodiversity areas those sites holding a threshold proportion of the compositional or phylogenetic diversity of species (within a taxonomic group) whose restricted ranges collectively define a centre of endemism. We also recommend consideration of occurrence of EDGE species (i.e. threatened phylogenetic diversity) in key biodiversity areas to prioritize species-specific conservation actions among sites