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2022 ◽  
pp. 27-45
Author(s):  
Mazni Saad ◽  
Nor Azilah Husin ◽  
Nur Zafirah Ramlee

This study surveyed 150 Malaysian tourists regarding the South Korean drama (K-drama) factors that drew them back to South Korea. The analyses revealed that K-drama was highly successful in enticing the young generation and discovered a clear scenario for Malaysians' response for a repeat visit. The results show that collaboration for the development of heritage tourism should be linked to the national identity and replicated through dramas similar to K-dramas. Universities should work closely with other stakeholders to produce high-quality films for international distribution.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
P. O. Boucher ◽  
R. A. Ozdemir ◽  
D. Momi ◽  
M. J. Burke ◽  
A. Jannati ◽  
...  

AbstractTheta-burst stimulation (TBS) is a patterned form of repetitive transcranial magnetic stimulation (rTMS) that has been used to induce long-term modulation (plasticity) of corticospinal excitability in a drastically shorter duration protocol than conventional rTMS protocols. In this study we tested the reliability of the effects of two well defined TBS protocols, continuous TBS (cTBS) and intermittent TBS (iTBS), especially in relation to sham TBS, within and across the same 24 participants. All TBS protocols were repeated after approximately 1 month to assess the magnitude and reliability of the modulatory effects of each TBS protocol. Baseline and post-TBS changes in motor evoked potentials (MEP—measure of corticospinal excitability) amplitudes were compared across the cTBS, iTBS and sham TBS protocols and between the initial and retest visits. Overall, across participants, at the initial visit, iTBS facilitated MEPs as compared to baseline excitability, with sham eliciting the same effect. cTBS did not show a significant suppression of excitability compared to baseline MEPs at either visit, and even facilitated MEPs above baseline excitability at a single time point during the repeat visit. Otherwise, effects of TBS were generally diminished in the repeat visit, with iTBS and sham TBS replicating facilitation of MEPs above baseline excitability at similar time points. However, no protocol demonstrated consistent intra-individual modulation of corticospinal excitability upon retest. As the first study to test both iTBS and cTBS against sham TBS across repeat visits, our findings challenge the efficacy and reliability of TBS protocols and emphasize the importance of accounting for sham effects of TBS. Furthermore, given that therapeutic effects of TBS are hypothetically derived from consistent and repeated modulation of brain activity, the non-replicability of plasticity and sham effects call into question these basic mechanisms.


Kuntoutus ◽  
2021 ◽  
Vol 40 (3-4) ◽  
pp. 34-44
Author(s):  
Eira Karvonen ◽  
Markku Paatelma ◽  
Ari Heinonen

Tutkimuksen tarkoituksena oli selvittää alaselkäkipuisten asiakkaiden kokemuksia käynnistään terveyskeskuksessa fysioterapeutin suoravastaanotolla. Tutkimus on retrospektiivinen, kuvaileva kyselytutkimus, joka toteutettiin strukturoidulla kyselylomakkeella kolme kuukautta fysioterapeutin vastaanotolla käynnin jälkeen. Lomakkeella selvitettiin selkäkivun lievittymisestä, ohjattujen harjoitteiden toteutumisesta, kivun uusiutumisesta, asiakkaan käsityksistä uusiutumisen syistä, kipuun liittyvästä pelosta, uudelleen hakeutumisesta lääkärin tai fysioterapeutin vastaanotolle ja työssäkäyvien sairauspoissaoloista. Lähetettyyn 150 kyselyyn vastasi 80 henkilöä (53 %), jotka jakaantuivat kolmeen ryhmään: 1. eläkeläiset (n = 26), 2. työttömät (n = 15) ja 3. työssä olevat/opiskelijat (n = 39). Aineisto analysoitiin SPSS-tilasto-ohjelmalla ja avointen kysymysten vastaukset litteroitiin ja luokiteltiin yhtäläisyyksien mukaan. Tulokset osoittivat, että 80–82 prosenttia asiakkaista kaikissa ryhmissä koki hyötyvänsä fysioterapeutilla käynnistään paljon tai kohtalaisesti. Kolmen kuukauden aikana selkäkivun uusiutuminen oli vähäisintä työssä olevat/opiskelijat -ryhmässä (5 %) ja suurinta eläkeläisten ryhmässä (30 %). Saman selkäongelman vuoksi vain 10 prosenttia vastanneista hakeutui uudelleen fysioterapeutille tai lääkärille. Työssä olevien ja opiskelijoiden ryhmässä ainoastaan yksi henkilö ilmoitti olevansa kyselyhetkellä sairauslomalla. Tutkimuksen tulokset viittaavat siihen, että fysioterapeutin suoravastaanotolla käyneet asiakkaat ovat tyytyväisiä toimintaan ja ovat kokeneet saaneensa apua selkäkipuunsa. Yhteiskunnallisen kustannus-hyöty ajattelun mukaan vähäiset uusintakäynnit fysioterapeutin tai lääkärin vastaanotolla, sekä alhaiset sairauspoissaolot vaikuttavat merkittäviltä. Jatkossa tarvitaan korkeatasoisia, pidemmällä seuranta-ajalla toteutettuja satunnaistettuja tutkimuksia kustannusanalyyseineen fysioterapian varhaisesta toteuttamisesta. Abstract Patients’ experiences of their visit to direct access physiotherapists in the early phase of low back pain: A retrospective descriptive survey The purpose of the study was to investigate the experiences of low back pain patients regarding their visit to direct access physiotherapists at a health center. The study is a retrospective descriptive survey conducted in a structured questionnaire three months after a visit to a physiotherapist. The questionnaire included questions, in particular, information on the relief of back pain, the management of the instructed exercises, the recurrence of back pain, patients’ perceptions of the causes of pain, the fear of pain, reasons for a repeat visit to a doctor or physiotherapist, and eventual absences due to sickness. The questionnaire was sent to 150 people who were picked up from the health care centers. Eighty (53%) low back pain patients responded. They were divided into three groups: retired people (n=26); unemployed people (n=15); and students and employed people (n=39). The data were analyzed using SPSS statistical software. The open answers were transcribed and the similarities of the answers were combined. The results showed that 80-82% of patients in all groups experienced the benefits from their visit to a physiotherapist as being great or moderate. During the three months after their visit, the recurrence of back pain was at its lowest among students and employed people (5%) and the highest among retired people (30%). Only 10% of the respondents made a repeat visit to a physiotherapist or doctor for the same back problem. Only one person in the students and employed people group was on sick leave. The results show that the patients viewed the early visit to a physiotherapist as useful in the treatment of back pain and in the prevention of new episodes. From a social cost–benefit point of view the results; the low need for repeat visits to the physiotherapist or to the doctor, and the low rates of absence due to sickness let us assume those to be notable. Additional high-quality research involving longer prospective randomized designs and economic impact analyses is required to further investigate the outcomes associated with early initiation of physiotherapy. Keywords: physiotherapy, direct access, low back pain, patients` experiences


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmad Reza Talaee Malmiri ◽  
Roxana Norouzi Isfahani ◽  
Ahmad BahooToroody ◽  
Mohammad Mahdi Abaei

PurposeDestinations to be able to compete with each other need to equip themselves with as many competitive advantages as possible. Tourists' loyalty to a destination is considered as a prominent competitive tool for destinations. Tourists' loyalty manifests itself in recommendation of the destination to others, repeat visit of the destination and willingness to revisit the destination. Although a plethora of studies have tried to define models to show the relation between loyalty and the antecedent factors leading up to it, few of them have tried to integrate these models with mathematical approaches for better understanding of loyalty behavior. The purpose of this paper is to integrate a tourist destination model with Bayesian Network in order to predict the behaviour of destination loyalty and its antecedent factors.Design/methodology/approachThis paper has developed a probability model by the integration of a destination loyalty model with a Bayesian network (BN) which enables to predict and analyze the behavior of loyalty and its influential factors. To demonstrate the application of this framework, Tehran, the capital of Iran, was chosen as a destination case study.FindingsThe outcome of this research will assist in identifying the weak key points in the tourist destination area for giving insights to the marketers, businesses and policy makers for making better decisions related to destination loyalty. In the analysis process, the most influential factors were recognized as the travel environment image, natural/historical attractions and, with a lower degree, infrastructure image which help the decision maker to detect and reinforce the weak factors and put more effort in focusing on improving the necessary parts rather than the irrelevant parts.Originality/valueThe research identified all critical factors that have the most influence on destination loyalty while driving the associate uncertainty which is significant for the tourism industry. This resulted in better decision-making which is used to identify the impact of tourism destination loyalty.


Author(s):  
Juliana Putri ◽  
Fitria Andriani

Traveling is a necessary thing in everyday life, traveling on a tour can eliminate boredom and can remember thoughts of everyday problems. A good tourist spot will greatly affect the desire to make a visit on that tour, and a good tourist spot will be interesting to make a repeat visit on that tour. The research aims to see the effect of service influence, tourism image, tourist attraction and promotion partially and simultaneously on the interests of visiting tourists. This research uses quantitative methods. Sampling combines accidental sampling and purposive sampling, involving 97 tourists as respondents. Data processing using multiple linear regression with IMB 22 statistical tools: The results of data analysis show that service quality (X1) does not have a significant effect on the interest of returning tourists with a significant value of 0.394> 0.05. The results of data analysis show that the tourism image ( X2) has a significant effect on the interest of returning tourists with a significant value of 0.000 <0.05. The results of data analysis show that tourist attraction (X3) has a significant effect on the interest of returning tourists with a significant value of 0.031 <0.05, the results of data analysis show that Promotion (X4) has a significant effect on the interest of returning tourists with a significant value of 0.022 <0.05 on testing service quality, tourism image, tourist attraction, promotion is able to influence the interest of returning visits simultaneously where the significance value is 0.000 <0.05.


2021 ◽  
Vol 2 (3) ◽  
pp. 58-60
Author(s):  
Evgenia V. Dvoryankova ◽  

Clinical case of 62 year old patient complaining of rash on the glans of the penis is reported. It was known from the case history that genital rashes first appeared in spring 2020 in the form of two “red dots” associated with no subjective sensations. During the initial visit to dermatology clinic (in London) in June 2020 no diagnosis was established; antibiotics and application of topical emollient were prescribed. The patient did not take treatment as prescribed. During the repeat visit to dermatologist (in Moscow) lichen planus was diagnosed; application of alclometasone dipropionate cream on the rashes 2 times a day was prescribed. Rashes resolved completely in 10 days with treatment.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jina Kim ◽  
Yeonju Jang ◽  
Kunwoo Bae ◽  
Soyoung Oh ◽  
Nam Jeong Jeong ◽  
...  

PurposeUnderstanding customers' revisiting behavior is highlighted in the field of service industry and the emergence of online communities has enabled customers to express their prior experience. Thus, purpose of this study is to investigate customers' reviews on an online hotel reservation platform, and explores their postbehaviors from their reviews.Design/methodology/approachThe authors employ two different approaches and compare the accuracy of predicting customers' post behavior: (1) using several machine learning classifiers based on sentimental dimensions of customers' reviews and (2) conducting the experiment consisted of two subsections. In the experiment, the first subsection is designed for participants to predict whether customers who wrote reviews would visit the hotel again (referred to as Prediction), while the second subsection examines whether participants want to visit one of the particular hotels when they read other customers' reviews (dubbed as Decision).FindingsThe accuracy of the machine learning approaches (73.23%) is higher than that of the experimental approach (Prediction: 58.96% and Decision: 64.79%). The key reasons of users' predictions and decisions are identified through qualitative analyses.Originality/valueThe findings reveal that using machine learning approaches show the higher accuracy of predicting customers' repeat visits only based on employed sentimental features. With the novel approach of integrating customers' decision processes and machine learning classifiers, the authors provide valuable insights for researchers and providers of hospitality services.


2021 ◽  
Vol 10 (1) ◽  
pp. 36
Author(s):  
Hang Zhang ◽  
Mingxin Gan ◽  
Xi Sun

In location-based social networks (LBSNs), point-of-interest (POI) recommendations facilitate access to information for people by recommending attractive locations they have not previously visited. Check-in data and various contextual factors are widely taken into consideration to obtain people’s preferences regarding POIs in existing POI recommendation methods. In psychological effect-based POI recommendations, the memory-based attenuation of people’s preferences with respect to POIs, e.g., the fact that more attention is paid to POIs that were checked in to recently than those visited earlier, is emphasized. However, the memory effect only reflects the changes in an individual’s check-in trajectory and cannot discover the important POIs that dominate their mobility patterns, which are related to the repeat-visit frequency of an individual at a POI. To solve this problem, in this paper, we developed a novel POI recommendation framework using people’s memory-based preferences and POI stickiness, named U-CF-Memory-Stickiness. First, we used the memory-based preference-attenuation mechanism to emphasize personal psychological effects and memory-based preference evolution in human mobility patterns. Second, we took the visiting frequency of POIs into consideration and introduced the concept of POI stickiness to identify the important POIs that reflect the stable interests of an individual with respect to their mobility behavior decisions. Lastly, we incorporated the influence of both memory-based preferences and POI stickiness into a user-based collaborative filtering framework to improve the performance of POI recommendations. The results of the experiments we conducted on a real LBSN dataset demonstrated that our method outperformed other methods.


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