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Patient Preferences for Cancer Care mHEALTH Apps: A Discrete Choice Experiment
No full textBackground: It has been argued that mHealth apps could bridge the gap between direct provision of patient care services and patient self-management of oral oncolytic therapies. The ability of non-regulated one-way communication apps can be studied for their impact on patient disease self-management decisions. The purpose of this project was to explore whether discrete choice methods, such as a choice-based conjoint exercise, could be applied to discern patient preferences for the features of mHealth cancer apps for disease self-management. While the major portions of this work were hypothesis generating, we did set the following hypothesis:There is no difference in the relevance of attributes and levels for features of cancer self-management mHealth apps with respect to patient preferences.
Methods: As the purpose of this study was to explore the depth and breadth of research on mHealth app features for cancer self-management, a scoping review methodology was adopted for this study. Four databases were used for this review: PubMed/MEDLINE, EMBASE, CINAHL, and PsycINFO. Citation and reference searches and a gray literature search were conducted. Data were extracted from articles including cancer type, mHealth app features, and patient preferences. The features listed for each app were compared, highlighting similarities across platforms as well as features unique to each app. The 40 app features identified in the scoping literature review were collated into groups according to their function. This resulted in nine groups and these groups formed the basis of questions for the expert opinion survey. Participants were asked to endorse each feature deemed useful for patients in cancer self-management. After each question respondents were asked to contribute additional app features related to that group which might also be useful to patients. The data were analyzed to determine the attributes with the highest relevance for mHealth apps for cancer patients according to the subject matter experts (as measured by lowest composite score when a rating of 9 out of 9 is the most relevant). A survey containing a choice-based conjoint exercise was utilized to reveal patient preferences for the features we previously identified in mHealth apps in the literature. The choice exercise consisted of nine choice tasks in which respondents compared the features of hypothetical mHealth apps for cancer self-management. This analysis utilized a latent class multinomial logit model to identify different segments (groups) of respondents based on response patterns.
Results: In total, seven studies published from 2017 to 2021 were included for analysis. Additionally, apps were developed to address the needs of a heterogeneous patient population; some address the needs of a single cancer indication or treatment, and others provide support across the spectrum of cancer diagnoses. Likewise, the number of features per app varied from two to eleven with a median of four – with the most reported feature being a symptom tracker. Lastly, several studies reported patient acceptability or preference data for the app and/or the features with acceptability (assessed through survey or interviews) most frequently reported.
However, these apps and features are often developed with little input from patients. Additionally, there is little information regarding patient preferences for the features of existing apps. A total of nine experts responded to the survey. Only two questions included features that were not endorsed by seven or more participants. Each category of features was accompanied by an open-ended question allowing the respondents to introduce features not identified in the literature. The patient survey showed contrasts in respondent preferences depending on question format. In addition, latent class analysis revealed evidence for a two-group model. In the rating scale question in the introduction of the survey, “Calendar” was the attribute which received the highest percentage of respondents reporting that the attribute was “Very useful” (n = 80, 72.7%) while “Symptom tracker” was rated lowest (tied with “Education”), as only 70 respondents (63.6%) considered this attribute “Very useful”. However, in the LCA both groups 1 and 2 indicated the highest preference for the “Symptom tracker” attribute (in Group 1 this accounted for 30.4% of total attribute importances and in Group 2 it accounted for 31.4%). The latent class analysis revealed only one statistically significant difference between Groups 1 and 2. Respondents who identified as Hispanic, Latino, or of Spanish origin (n = 13) were all in Group 1.
Conclusions: The objectives of this formative research were to demonstrate whether discrete choice methods were fit-for-purpose in determining patient preferences for mHealth app features through expert opinion and patient surveys. The choice-based conjoint patient survey revealed there are differences between patient groups for preferred app features. Based on these outcomes, we are able to reject the null hypothesis that there is no difference in patient preferences for features of mHealth apps for cancer self-management. There are findings from this research that warrant further exploration. When asked with a rating question how useful app features would be, both experts and patients selected “Calendars and planning” (in the expert survey) or “Calendar” (in the patient survey). This differed from the outcome of the choice-based conjoint exercise in which both groups of patients in the latent class analysis model rated “Symptom tracker” as the attribute of highest importance. More research is needed to define methodologies best fit for purpose in understanding patient preferences
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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