The impact of symptom stability on time frame and recall reliability in CFS

This book investigates the coming-of-age genre as a significant phenomenon in New Zealand’s national cinema, tracing its development from the 1970s to the present day. A preliminary chapter identifies the characteristics of the coming-of-age film as a genre, tracing its evolution and the influence of the French New Wave and European Art Cinema, and speculating on the role of the genre in the output of national cinemas. Through case studies of fifteen significant films, including The God Boy, Sleeping Dogs, The Scarecrow, Vigil, Mauri, An Angel at My Table, Heavenly Creatures, Once Were Warriors, Rain, Whale Rider, In My Father’s Den, 50 Ways of Saying Fabulous, Boy, Mahana, and Hunt for the Wilderpeople, subsequent chapters examine thematic preoccupations of filmmakers such as the impact of repressive belief systems and social codes, the experience of cultural dislocation, the expression of a Māori perspective through an indigenous “Fourth Cinema,” bicultural relationships, and issues of sexual identity, arguing that these films provide a unique insight into the cultural formation of New Zealanders. Given that the majority of films are adaptations of literary sources, the book also explores the dialogue each film conducts with the nation’s literature, showing how the time frame of each film is updated in a way that allows these films to be considered as a register of important cultural shifts that have occurred as New Zealanders have sought to discover their emerging national identity.

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Big data and artificial intelligence for health system sustainability: The case of Veneto Region

MANAGEMENT CONTROL ◽

10.3280/maco2021-001-s1003 ◽

2021 ◽

pp. 31-52

Author(s):

Grazia Dicuonzo ◽

Francesca Donofrio ◽

Antonio Fusco ◽

Vittorio Dell’Atti

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Healthcare System ◽

Care Delivery ◽

Research Question ◽

Health Agency ◽

Time Frame ◽

Structured Interviews ◽

Case Study Methodology ◽

The Impact

This paper investigates the digitalization challenges facing the Italian healthcare system. The aim of the paper is to support healthcare organizations as they take advantage of the potential of big data and artificial intelligence (AI) to promote sustainable healthcare systems. Both the development of innovative processes in the management of health care activities and the introduction of healthcare forecasting systems are valuable resources for clinical and care activities and enable a more efficient use of inputs in essential-level care delivery. By examining an innovative project developed by the Regional Social Health Agency (ARSS) of Veneto, this study analyses the impact of big data and AI on the sustainability of a healthcare system. In order to answer the research question, we used a case study methodology. We conducted semi-structured interviews with key members of the organizational group involved in the case. The results show that the implementation of AI algorithms based on big data in healthcare both improves the interpretation and processing of data, and reduces the time frame necessary for clinical processes, having a positive effect on sustainability.

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Wording of Daily Diary Questions Matters: An Investigation of the Effect of Daily Diary Instructional Phrases on Respondents’ Recall Time frames (Preprint)

10.2196/preprints.16105 ◽

2019 ◽

Author(s):

Arthur A. Stone ◽

Cheng K. Fred Wen ◽

Stefan Schneider ◽

Doerte U. Junghaenel

Keyword(s):

Medical Science ◽

Daily Diary ◽

Time Frame ◽

Affective States ◽

Diverse Range ◽

Daily Experience ◽

Time Periods ◽

Waking Up ◽

Time Frames ◽

The Impact

BACKGROUND Daily diaries are extensively used for examining participants' daily experience in behavioral and medical science. Whether participants recall their experiences within the time frames prescribed by task has received little attention. OBJECTIVE The objectives of this study are to describe survey respondents' self-reported recall timeframe and to evaluate the impact of different daily diary items on respondents reported affective states. METHODS In this study, 577 participants completed a mood survey with one of four time frame instructions: 1) today, 2) since waking up today, 3) during the last 24 hours, or 4) in the last day. They were also asked to indicate the time periods they considered when answering these items and to recall the instructional phrases associated with the items. RESULTS Almost all participants in the "Today" (97%) and "Since waking up today" (94%)" conditions reported using time periods consistent with our expectations, while a lower proportion was observed in the "during the last 24 hours" (69%) condition. A diverse range of responses was observed in the "In the last day" condition. Furthermore, the instructions influenced the levels of some self-reported affects, although exploratory analyses were not able to identify the mechanism underlying this finding. CONCLUSIONS Overall, these results indicate that "Today" and "Since waking up today" are the most effective instructional phrases for inquiring about daily experience and that investigators should use caution when using the other two instructional phrases.

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The impact of credibility of influencers recommendations on social media on consumers behavior towards brands

Informatologia ◽

10.32914/i.54.3-4.5 ◽

2021 ◽

Vol 54 (3-4) ◽

pp. 181-196

Author(s):

Piotr Kwiatek ◽

Radoslav Baltezarević ◽

Stavros Papakonstantinidis

Keyword(s):

Social Media ◽

Public Opinion ◽

Virtual Environment ◽

Word Of Mouth ◽

Consumer Attitudes ◽

Time Frame ◽

Target Market ◽

Online Environment ◽

Purchasing Decisions ◽

The Impact

Companies are becoming increasingly aware of the importance and opportunities provided by social media in order to communicate faster and more efficiently with their consumers. In order to convey the message about the value of their brands to their target market, organizations hire influential people who are considered to be the creators of public opinion in a virtual environment. Nowadays, social media are crowded with micro and macro influencers, or at least those who present themselves as such. Their main job is to represent and recommend brands to other users (their followers) and thus influence consumer attitudes about brands and possibly strengthen their purchasing decisions. Very often, influencers on social media are hired by companies to promote their brands for a fee. In order to have more control over their communication activities, companies provide them, in advance, with the content they want to be conveyed to consumers, but also the time frame when the message should be launched. In this way, organizations try to reduce the risk of turning electronic word-of-mouth (EWOM) communication into a negative one. In order for consumers to trust the recommendations of influencers on social media, these people need to have significant expertise in a certain area, charisma and respect from other users, so that their credibility affects the value of content and recommendations they place in the online environment. The aim of this paper is to present the attitudes of respondents who use social media websites about the impact of the credibility of influencers' recommendations on social media, and their opinion on whether and in what way their credibility influences consumer attitudes towards brands.

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Service evaluation for services for younger people with dementia in east locality of north Wales

BJPsych Open ◽

10.1192/bjo.2021.108 ◽

2021 ◽

Vol 7 (S1) ◽

pp. S20-S20

Author(s):

Asha Dhandapani ◽

Sathyan Soundararajan ◽

Sharmi Bhattacharyya

Keyword(s):

Time Frame ◽

Service Evaluation ◽

Young Onset ◽

People With Dementia ◽

North Wales ◽

Number Of Patients ◽

Time To Diagnosis ◽

Working Age ◽

The Impact ◽

Timely Referral

AimsTo evaluate Young-onset dementia (YOD) services in terms of referral, its appropriateness, time to diagnosis and other criteria as per protocol that we have adapted.MethodCase notes of those under 65 referred to Memory service for cognitive assessment between July 2017 and June 2018 were retrospectively reviewed to look at the time to diagnosis, appropriate referrals, post-diagnostic support, etc.ResultCompared to the previous evaluation, the number of patients referred to had increased from 47–48/ year earlier to 63/year. Only 1/3 were appropriate referral over the 10-year period whereas between 2017 and 2018 more than half were appropriate referrals. More than half of them were seen within 12 weeks of referral (35/63 available). Only 132/252 were diagnosed as having some form of dementia in the previous evaluation which was about 13 cases of YOD a year. In contrast, in our new evaluation 19 patients were diagnosed with some form of dementia. Inappropriate referrals had reduced by more than 50%. Appropriateness and timely referral had improved in this time frame.ConclusionDementia is considered ‘young onset’ when it affects people under 65 years of age. It is also referred to as ‘early onset’ or ‘working age’ dementia. However, this is an arbitrary age distinction that is becoming less relevant as increasingly services are realigned to focus on the person and the impact of the condition, not the age. Teaching sessions to educate primary & secondary care clinicians on appropriateness and timely referrals have helped in improving the care for patients with YOD. Services need to be developed further to be able to diagnose & support those with YOD. Repeat evaluations every year would help to inform improvement in quality & appropriateness of referrals.

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Enhancing innovation capability maturity through knowledge conversion

Acta Commercii ◽

10.4102/ac.v11i1.162 ◽

2011 ◽

Vol 11 (1) ◽

Cited By ~ 3

Author(s):

D. Esterhuizen ◽

C. S.L. Schutte ◽

A. S.A Du Toit

Keyword(s):

Knowledge Management ◽

Knowledge Creation ◽

Time Frame ◽

Innovation Capability ◽

Strong Basis ◽

Knowledge Conversion ◽

Capability Maturity ◽

Use Of Knowledge ◽

The Impact ◽

Subject Theory

Purpose: This research was aimed at investigating organisational support by means of knowledge conversion processes toward maturity growth in innovation capability areas. Problem investigated: No formal guidelines exist for the use of knowledge management to grow innovation capability maturity. As knowledge management plays a fundamental role in an enterprise's ability to innovate successfully, the following question arises: Can knowledge creation processes be used to enable innovation capability maturity growth? Methodology: The literature therefore provides a strong basis for the argument that knowledge management and more specifically knowledge creation processes could be used to improve an enterprise's innovation capability maturity. A knowledge creation framework that enables innovation capability maturity growth was designed by aligning knowledge creation processes to the requirements for innovation capability growth from one maturity level to the next. The time-frame of the research did not allow the implementation of the framework, and five industry and subject theory experts were used to evaluate the framework. Findings: All five experts responded positively to, and were in agreement that the reasoning applied when identifying the specific knowledge creation process path as a key enabler of growth between innovation capability maturity levels is logical and sound. Value of research: The unique research contribution of the framework lies in providing a tangible link between the fields of knowledge management and innovation capability maturity.Conclusion: The impact of this research lies in the development of a knowledge creation framework that provides guidelines for the use of knowledge creation processes as a vehicle for innovation capability maturity growth.

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Models of Multiple Events in the Analysis of Subsequent Registrations in the Labour Office

Acta Universitatis Lodziensis Folia oeconomica ◽

10.18778/0208-6018.348.07 ◽

2020 ◽

Vol 3 (348) ◽

pp. 131-147

Author(s):

Beata Bieszk-Stolorz

Keyword(s):

Recurrent Events ◽

Medical Science ◽

Disease Recurrence ◽

Time Frame ◽

Proportional Hazard ◽

Cox Proportional Hazard ◽

Conditional Models ◽

The Unemployed ◽

The Impact ◽

Stratified Model

In many fields of science, it is necessary to analyse recurrent events. In medical science, the problem is to assess the risk of chronic disease recurrence. In economic and social sciences, it is possible to analyse the time of entering and leaving the sphere of poverty, the time of subsequent guarantee or insurance claims, as well as the time of subsequent periods of unemployment. In these studies, there are different ways of defining risk intervals, i.e. the time frame over which an event is at risk (or likely to occur) for an entity. Research on registered unemployment in Poland shows a high percentage of people returning to the labour office and registering again. The aim of the article is assessment of the risk of subsequent registrations in the labour office depending on selected characteristics of the unemployed: gender, age, education, and seniority. In the study, methods of survival analysis were used. The results obtained for four models being an extension of the Cox proportional hazard model were compared. The Anderson‑Gil model does not distinguish between first and next events. The number of events that occurred is important. Two Prentince‑Williams‑Peterson conditional models and the Wei, Lin and Weissfeld models are based on the Cox stratified model. The strata are consecutive events. They differ in the way risk intervals are determined. In the analysed period, only age and education influenced the risk of multiple registrations at the Poviat Labour Office in Szczecin. Gender and seniority did not have a significant impact on this risk. The analysis performed for subsequent registrations confirmed the impact of the same features on the first subsequent registration. In general, it can be stated that the analysed characteristics of the unemployed did not have a significant impact on the second and subsequent returns to the labour office.

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Microfracture: State of the Art in Cartilage Surgery?

Cartilage ◽

10.1177/1947603517700956 ◽

2017 ◽

Vol 9 (4) ◽

pp. 339-345 ◽

Cited By ~ 5

Author(s):

Florian Frehner ◽

Jan P. Benthien

Keyword(s):

Clinical Trials ◽

Impact Factor ◽

Sports Medicine ◽

Time Frame ◽

Evidence Based ◽

Yearly Average ◽

The Mean ◽

Based Medicine ◽

Number Of Citations ◽

The Impact

Objective This study is a literature review from 2010 to 2014 concerning the quality of evidence in clinical trials about microfracture in attempt to repair articular cartilage. We have decided to focus on microfracturing, since this seems to be the best documented technique. Interest in evaluation of publication quality has risen in orthopaedic sports medicine recently. Therefore, we think it is necessary to evaluate recent clinical trials being rated for their evidence-based medicine (EBM) quality. We also compared the mean impact factor of the journals publishing the different studies as an indicator of the study’s citation and evaluated for a change over the studied time frame. Design To measure the EBM level, we applied the modified Coleman Methodology Score (CMS) introduced by Jakobsen. The impact factor, which is a measurement of the yearly average number of citations of articles recently published in that journal, was evaluated according to self-reported values on the corresponding journal’s website. Results We found that the mean CMS has not changed between 2010 and 2014. The mean impact factor has also not changed between 2010 and 2014. The CMS variance was high, pointing to different qualities in the evaluated studies. There is no evidence that microfracturing is superior compared to other cartilage repair procedures. Conclusion Microfracture cannot be seen as an evidence based procedure. Further research needs to be done and a standardization of the operating method is desirable. There need to be more substantial studies on microfracturing alone without additional therapies.

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A Clinical Observational Study on the Application of Enhanced Recovery After Laparoscopic Pancreaticoduodenectomy

10.21203/rs.3.rs-616980/v1 ◽

2021 ◽

Author(s):

Rui Liao ◽

Ping Che ◽

Jun-Cai Li ◽

Jie Chen ◽

Xiong Yan

Keyword(s):

Enhanced Recovery ◽

Operation Time ◽

Perioperative Period ◽

Medical Costs ◽

Time Frame ◽

Laparoscopic Pancreaticoduodenectomy ◽

Readmission Rates ◽

Retrospective Clinical Study ◽

Previously Treated ◽

The Impact

Abstract Background: The safety and feasibility of enhanced recovery after surgery (ERAS) for laparoscopic pancreaticoduodenectomy (LPD) are unclear. The aim of this retrospective clinical study was to evaluate the impact of ERAS protocols for LPD.Methods: Between March 2016 and December 2018, a total of 34 consecutive patients with ERAS for LPD were prospectively enrolled and compared with 68 consecutive patients previously treated for non-ERAS after LPD during an equal time frame. The intraoperative and postoperative data were collected and comparatively analyzed. Results: The mean length of postoperative hospital stay (15.8±3.4 and 23.1±5.1 days, P<0.001) and total medical costs (¥14.3±4.8 x104 and ¥15.8±4.9 x104, P=0.017) were reduced significantly in ER group than those in non-ER group. The operation time (462.7±117.0 vs 450.9±109.8 min, P=0.627) and intraoperative blood loss (523.5±270.0 vs 537.5±241.8 mL, P=0.800) were similar in the two groups. The complications of patients with ERAS protocols were not increased (P>0.05). No difference in mortality and readmission rates was found.Conclusions: The ERAS is safe and effective in the perioperative period of LPD. It could effectively reduce the length of postoperative stay and medical costs, and does not increase the incidence of postoperative complications.

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Abstract WP281: Pharmacists Improve Door to Needle Times in the Emergency Department

Stroke ◽

10.1161/str.51.suppl_1.wp281 ◽

2020 ◽

Vol 51 (Suppl_1) ◽

Author(s):

Kevin Phan ◽

Megan Degener

Keyword(s):

Emergency Department ◽

Cerebral Perfusion ◽

Stroke Care ◽

Time Frame ◽

Safe Delivery ◽

Team Meetings ◽

Stroke Team ◽

Comprehensive Stroke Center ◽

Stroke Center ◽

The Impact

Background: An estimated two million brain cells die every minute cerebral perfusion is impaired. The best outcomes for acute ischemic strokes are achieved by decreasing the time from emergency department (ED) arrival to thrombolytic therapy. Alteplase, a high risk medication, was dosed and prepared in the pharmacy. This contributed to prolonged door to needle (DTN) times. Purpose: To describe the impact of pharmacist interventions on DTN times in the ED. Methods: All patients who received alteplase for acute ischemic stroke from January 2012 to April 2019 were reviewed. In November 2012, the ED pharmacy program began with a dedicated ED pharmacist for 8 hours a day and expanded to 13 hours a day in September 2014. During those hours alteplase was prepared at bedside in the ED. In November 2015, all pharmacists were trained on the ED code stroke process. Monthly case reviews and DTN times were reported to the stroke coordinators starting January 2017. Alteplase preparation and administration in the computed tomography (CT) room started April 2017. Following comprehensive stroke center certification, routine stroke competency exams were administered to pharmacists in 2018. In 2019, pharmacists started reporting DTN times at neuroscience core team meetings. Results: During this time frame, a total of 407 patients received alteplase. Average DTN times decreased from a baseline of 130.9 minutes to 45.3 minutes. Interventions that resulted in the largest decrease in average DTN times were the expanded ED service hours (34.6 minutes) and pharmacist preparation of alteplase in the CT room (21.9 minutes). Conclusions: Pharmacists directly impacted stroke care in the ED by decreasing DTN times. Presence of a pharmacist in the ED enabled fast and safe delivery of alteplase by ensuring accurate dosing and preparation. Pharmacists also performed rapid medication reconciliation and expedited antihypertensive therapies. In conclusion, having pharmacists as part of the stroke team is a model that could be adopted by hospitals to enhance stroke care.

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