Final Score Research Articles

Adaptation and validation of the Children’s Surgical Assessment Tool for Rwandan district hospitals

ABSTRACT Background/Aims Paediatric surgical care is a critical component of child health and basic universal health coverage and therefore should be included in comprehensive evaluations of surgical capacity. This study adapted and validated the Children’s Surgical Assessment Tool (CSAT), a tool developed for district and tertiary hospitals in Nigeria to evaluate hospital infrastructure, workforce, service delivery, financing, and training capacity for paediatric surgery, for use in district hospitals in Rwanda. Methods We used a three-round modified Delphi process to adapt the CSAT to the Rwandan context. An expert panel of surgeons, anaesthesiologists, paediatricians, and health systems strengthening experts were invited to participate based on their experience with paediatric surgical or anaesthetic care at district hospitals or with health systems strengthening in the Rwandan context. We used the Content Validity Index to validate the final tool. Results The adapted tool had a final score of 0.84 on the Content Validity Index, indicating a high level of agreement among the expert panel. The final tool comprised 171 items across five domains: facility characteristics, service delivery, workforce, financing, and training/research. Conclusion The adapted CSAT is appropriate for use in district hospitals in Rwanda to evaluate the capacity for paediatric surgery. This study provides a framework for adapting and validating a comprehensive paediatric surgical assessment tool to local contexts in LMICs and used in similar settings in sub-Saharan Africa.

Using e-modules for acquisition of complex diabetes skills in diabetes care providers in Rwanda.

Type 1 Diabetes (T1D) is life-threatening without appropriate treatment. Though pediatric endocrinology care is limited in Rwanda, a decentralized health system allows access to local non-communicable disease (NCD) nurses through a network of 42 district hospitals. Recent rapid expansion of internet access in the country makes virtual diabetes education initiatives possible. We investigated whether Rwandan NCD nurses receiving diabetes education via online e-modules could make similar educational gains in insulin adjustment skills (IAS) compared to NCD nurses educated in a conference-style setting, and whether they would maintain equivalent competency at 1 year after education. We randomized 21 district hospitals and their NCD nurses to participate in a 1.5-day educational conference centered around care of type 1 diabetes (Group 1), while nurses from the remaining 21 hospitals (Group 2) received accommodation and access to equivalent educational materials in e-module form. Both groups were requested to review initial course materials at 4, 8, and 12 months. Ten-point IAS assessments were administered before and after education or review at each time point. Groups 1 and 2 had equal improvement after education (+2.0 vs. +2.0, p = 0.47) and equal final score at baseline (6.0 vs. 6.0, p = 0.74). However, both groups showed a diminishing improvement over time, so that any gains were lost by 4 months in Group 1 and 8 months in Group 2. Group 1 showed greater attrition in participation over time (19% vs 58% continued participation at one year, p = 0.002). Groups did not differ in subjective confidence in IAS after education. Both groups identified existing or potential access barriers to their respective educational method. While further modifications should be trialed to ensure equitable access and to maintain long-term engagement, online education is a feasible method to teach complex subspecialty skills to providers working in low-resource settings.

Cadaveric Biomechanical Laboratory Research Can Be Quantitatively Scored for Quality With the Biomechanics Objective Basic Science Quality Assessment Tool: The BOBQAT Score

PurposeThe purpose of this study was to develop a quality appraisal tool for the assessment of cadaveric biomechanical laboratory and other basic science biomechanical studies. Materials and MethodsFor item identification/development, a systematic review of the literature was first performed. The content validity index (CVI) was used to either include or exclude items. The content validity ratio (CVR) was used to determine content validity. Weighting was performed by each panel member; the final weight was either up- or downgraded to the closest of 5 or 10%. Face validity was scored on a Likert scale ranked from 1-7. Test-retest reliability was determined using the Fleiss kappa coefficient. Internal consistency was assessed with Cronbach’s alpha. Concurrent criterion validity was assessed against the QUACS scale. ResultsThe final BOBQAT score included 15 items and was shown to be valid, reliable and consistent. Five items had a CVI of 1.0; ten items had a CVI of 0.875. For weighting, five items received a weight of 10% and ten items a weight of 5%. CVR was 1.0 for six items and 0.75 for nine items. For face validity, all items achieved a score above 5. For test-retest reliability, almost perfect test-retest reliability was observed for ten items, substantial agreement for four items and moderate agreement for one item. For internal consistency, Cronbach’s alpha was calculated to be 0.71. For concurrent criterion validity, Pearson’s product-moment correlation was 0.56 (95% CI 0.38-0.70, p=0.0001). ConclusionCadaveric biomechanical and laboratory research can be quantitatively scored for quality based on the inclusion of a clear and answerable purpose, demographics, specimen condition, appropriate bone density, reproducible technique, appropriate outcome measures, appropriate loading conditions, appropriate load magnitude, cyclic loading, sample size calculation, proper statistical analysis, results consistent with methods, limitations considered, conclusions based on results, and disclosure of funding and potential conflicts.

Pengaruh Pengenalan Lapangan Persekolahan (PLP) Terhadap Soft Skills Dengan Dimoderasi Oleh Jenis Kelamin Pada Mahasiswa Calon Guru

The research aims to determine the effect of Introduction to the Schooling Field (PLP) on soft skills moderated by gender in students of the Office Administration Education, Accounting Education, and Economic Education Study Program at UNS involved 183 students from the 2018-2019 class who had taken part in PLP activities. The sampling technique in this research used proportional random sampling with data collection through questionnaires. The sub-group moderation method is used as a data analysis technique. The results obtained in this research are: (1) There is a positive and significant influence between PLP and soft skills. (2) Gender does not strengthen the influence of PLP on soft skills. The research results show that the PLP's ability to influence soft skills is very weak, this is because there is a gap between the soft skills competency score and the final PLP score.

The application and influence of “Small Private Online Course” based on flipped classroom teaching model in the course of fundamental operations in surgery in China

To investigate the effect of “Small Private Online Course” (SPOC) based on flipped classroom teaching model on the students in the course of fundamental operations in surgery. A prospective study. 8-year program students (juniors) majored in clinical medicine in Navy medical university. The mastery of theoretical knowledge and operational skill of the students, the comparison of final test examination score between traditional teaching method and “SPOC + flipped classroom” model and the feedback completed by students. Our study found that SPOC + flipped classroom could significantly increase the efficacy of the class and enhance the ability of the students compared with the traditional method. The new teaching model could have a positive influence for medical students on their basic knowledge and operational skill.

Investigation of optimized machine learning models with PSO for forecasting the shear capacity of steel fiber-reinforced SCC beams with/out stirrups

This article presents a comprehensive investigation of the applicability of optimized machine learning (ML) models with particle swarm optimization (PSO) for forecasting the shear strength of steel fiber-reinforced self-compacting concrete (SFR-SCC) beams with/without stirrups in engineering applications. Firstly, a database containing the results of 101 specimens with nine input features is adopted to train the models. As ML models such as random forest (RF), adaptive boosting regression (AdaBoost), extreme gradient boosting (XGBoost), support vector regression (SVR), and K-nearest neighbors regression (KNN) are considered, whereas the hyper-parameters of these models are set as default by the sklearn module. On the other hand, PSO-ML models (PSO-RF, PSO-AdaBoost, PSO-XGBoost, PSO-SVR, and PSO–KNN) are constructed using particle swarm optimization to find the optimal combination of the hyper-parameters of these default ML models. Afterwards, the forecasting ability of each model is extensively assessed using various performance metrics, error analysis, and score analysis, and the model with the best forecasting ability is determined and compared with existing empirical models. Moreover, Shapley additive explanation (SHAP) analysis is also utilized to ensure the interpretability of the forecasting models and to overcome the “black box” problem of ML methods. Lastly, based on the best forecasting model developed in this study, a graphical user interface (GUI) has been developed to easily forecast the shear strength of SFR-SCC beams in practical applications. The results of the study clearly illustrate that PSO-ML models exhibit better forecasting capabilities than default models. It can be emphasized from here that the PSO algorithm can be an effective tool to improve the performance of ML models. It should also be pointed out that the use of PSO in simpler algorithms instead of tree-based models can further improve forecasting efficiency. On the other hand, the PSO-RF model has the best performance, with a lower error value and a high final score. And this makes it a more reliable option for predicting the shear strength of the SFR-SCC beams compared to empirical equations. In addition, according to the results of SHAP feature importance analysis, the most important input parameters affecting the shear strength of SFR-SCC beams are stirrup rebar ratio (ρv), stirrup yield strength (fyv) and longitudinal rebar ratio (ρt). This information can assist engineers in paying special attention to these features in their design and assessment processes.

Assessment of Team-Based Learning in Computerized Accounting Course

Team-Based Learning (TBL) is one of the learning methods that provide significant benefits in students learning process. However, several existing courses are not suitable for TBL. TBL should be adjusted according to the characteristics of a specific course. This paper presents a quantitative study on how TBL was implemented as one of the teaching alternatives in a computerized accounting course. The proposed learning method was implemented for 3 different cohorts and compared with conventional lecture and case study teaching methods. The effect of this implementation was measured by quantifying the class activity such as students’ attendance and evaluating the students’ final scores. The result shows that TBL had a significant effect on student’s performance compared to the two other teaching methods. Furthermore, in the ANCOVA (analysis of co-variances) test, Grade Point Average (GPA) score was found to be the significant covariate that gave additional effect to students’ performance which was represented by the final score in every cohort.

Differential Diagnosis of Benign and Malignant Pulmonary Nodules in CT Images Based on Multitask Learning.

Artificial intelligence-based aided diagnostic systems for pulmonary nodules can be divided into subtasks such as nodule detection, segmentation, and benign and malignant differentiation. Most current studies are limited to single-target tasks. However, aided diagnosis aims to distinguish benign from malignant pulmonary nodules, which requires the fusion of multiple-scale features and comprehensive discrimination based on the results of multiple learning tasks. This study focuses on the aspects of model design, network structure, and constraints and proposes a novel model that integrates the learning tasks of pulmonary nodule detection, segmentation, and classification under weakly supervised conditions. The main innovations include the following three aspects: (1) a two-dimensional sequence detection model based on a ConvLSTM (Convolutional Long Short-Term Memory) network and U-shaped structure network is proposed to obtain the context space features of image slices fully; (2) a differential diagnosis of benign and malignant pulmonary nodules based on multitask learning is proposed, which uses the annotated data of different types of tasks to mine the potential common features among tasks; and (3) an optimization strategy incorporating prior knowledge of computed tomography images and dynamic weight adjustment of multiple tasks is proposed to ensure that each task can efficiently complete training and learning. Experiments on the LIDC-IDRI and LUNA16 datasets showed that our proposed method achieved a final competition performance metric score of 87.80% for nodule detection and a Dice similarity coefficient score of 83.95% for pulmonary nodule segmentation. The cross-validation results of the LIDC-IDRI and LUNA16 datasets show that our model achieved 87.80% of the final competition performance metric score for nodule detection and 83.95% of the DSC score for pulmonary nodule segmentation, representing the optimal result for that dataset.

Development of Luwu Culture Through Interactive Educational Games Based on Android Smartphones by Using Abode Animate CC

This study aims to develop educational games application based on adobe animate cc and determine the validity and practicality of interactive educational games based on Android smartphones. This type of research is RD (Research and Development) with the MLDC (Multimedia Development Life Cycle) model. This research was conducted and The student population of the Madrasah Ibtidayah Teacher Education study program IAIN Palopo for the 2021/2022 academic year is as many as 87 students. Meanwhile, the subjects of the trial were second-semester students who programmed social studies courses MI/SD, as many as 15 students. Data collection techniques used in this study were interviews, observation of validity questionnaires, and practicality questionnaires. From the data collection, the application development process uses the MDLC (Multimedia Development Life Cycle) development model, which consists of 6 stages: concept, design, collecting material, assembly, testing, and distribution. This research find that this application can improve the comprehension of students specially the fundanemtal of palopo’s culture after using this game Experts tested the game application with the final result that the product value obtained from material experts was 94% (feasible for distribution). Media experts produce a percentage score of 90% (very decent for distribution). In contrast, the practicality test resulted in a final score percentage of 90% (efficient). Then the final value obtained from the practicality test results of 92% is efficient and can be disseminated.

The Relationship between Senior High School Students’ Foreign Language Learning Boredom and English Achievement

This study aims to examine how Foreign Language Learning Boredom (FLLB) is related to foreign language achievement of Chinese senior high school students in an English as a foreign language context. Informed by the control-value theory, the questionnaire of FLLB was administered to 128 senior high school Chinese students in grade one. Analysis of the questionnaire data and the final English exam scores shows that FLLB among senior high school students in China was at a medium level. Specifically, of the seven dimensions, the level of PowerPoint presentation boredom was the highest, while the level of Teacher-dislike boredom was the lowest; a negative correlation was found between students’ FLLB and English achievement. Of seven dimensions, foreign language classroom boredom, under-challenging task boredom, homework boredom, general learning trait boredom, and over-challenging or meaningless task boredom were significantly relevant to English final exam scores. Moreover, FLLB contributed significantly to the negative prediction of English test scores.

Effect of Knowledge-Based Team Composition on Effectiveness of Pair Programming

Over years variety of tools has been used in the class room to support student learning. Among them, pair programming is trending as a pedagogical tool for programming courses in higher education. Implementation of pair programming is inadequate, choosing the right factors for successful adoption of this method is vital. This study aims at investigating the effect of knowledge-based team composition on effectiveness of pair programming. First year students following HNDIT at ATI Gampaha in the academic year 2020 had participated for the experiment. Data was collected using four instruments. The final exam scores, assignment scores, questionnaire, code quality. Mann Whitney U test is used to analyze assignment score and exam score and the code quality was determined by the defect density. The results revealed that students who had paired performed better in the assignments and they had graded better in the final exam as well. Knowledge based pair programming has positively affected code quality also. Further it reports willingness among students to use pair programming in the academic field when they are paired in a compatible way. Thus, it can be concluded that knowledge based team composition has positively affected to pair programming. These results are consistent with those of other studies that have done on the same topic.

The Practice of Information System Analysis and Design Basedon Flipped-Classroom Model

This article discusses the necessity and implementation of the Flipped-Classroom Model for Information System Analysis and Design. It addresses challenges of the traditional classroom model, such as educational differences, slow updates, and expanding higher education. The Flipped-Classroom Model combines extracurricular learning and in-class practice, fostering independent learning and critical thinking skills. Results show that the experimental group outperformed the control group in final exam scores and lab grades. The model enhances learning outcomes and develops comprehensive abilities and innovation consciousness. This research highlights the importance of the Flipped-Classroom Model, providing valuable references for educational reforms and cultivating student abilities.

Evaluating the Effectiveness of Gaming Practices in Enhancing Computer Science Terminology Learning among Primary School Students

This research paper investigates the effectiveness of Game-Based Learning (GBL) in enhancing the memorization of computer science terminology and motivation among primary school students. Conducted with a sample of 80 students divided into an Experimental Group (EG) and a Control Group (CG), the study employed a quantitative methodology, including tests, questionnaires, and statistical analyses to evaluate the impact of a custom-developed game, “Rusty Rusty,” on learning outcomes. The findings revealed that students in the EG, who learned through GBL, demonstrated significantly higher memorization skills and motivation levels compared to their CG counterparts, who were taught using traditional methods. The study also explored the theoretical underpinnings of GBL, its practical implications for educators, and acknowledged the limitations of its research approach. With a significant difference in final exam scores and motivation rates, the results affirm the potential of GBL as a more engaging and effective alternative to conventional teaching in primary education. This study delves into the integration of gaming practices as a pivotal educational technology approach, specifically aimed at enhancing computer science terminology learning among primary school students. It underscores the potential of interactive and engaging methods to enhance learning experiences and outcomes, demonstrating how these approaches can make challenging subjects, such as computer science, accessible and appealing to young learners in the digital age.

Correlation Between Student Performances on Case-Based Constructed-Response Formative Assessment and Summative Assessment.

This study aimed to evaluate the impact of formative assessment with case-based constructed-response question (CRQ) formats on student performance on the final summative assessment in the second-year periodontics course. Classroom quizzes with case-based CRQs were implemented as the formative assessment during the course. Each student received feedback on their responses from the course director. After all students (N = 128) took the second-year final examination, the Friedman test was conducted to compare student performances in each assessment over time. The multiple linear regression (MLR) model was used to evaluate the association between the second-year final examination score and plausible predictors-student gender, the second-year formative and midterm examination scores, and time spent on the final examination. The mean % scores in the formative assessment (51) and midterm (84) examination were significantly lower than that of the final (87) examination (P < .01). The number of students who failed the final (6) examination was significantly lower than the midterm (16) examination (P = .03). The midterm (P < .0001) and the formative assessment (P = .0009) scores significantly affected the second-year final examination score while student gender (P = .59) and time spending (P = .83) showed no correlations. Within the limitations of the study, student performance on case-based CRQs was correlated with student performance on the summative assessment.

Does Background Type and Blurring Affect Performance Ratings in Video Interviews?

Asynchronous video interviews (AVIs) have become increasingly popular as alternatives (or complements) to more traditional face-to-face interviews. Yet, AVI research has been largely focused on applicant reactions or behaviors, and we still know very little about what influences how applicants are rated. Importantly, because AVIs afford applicants the flexibility to record their responses from their homes, the background they choose could influence raters’ judgments. This study examines whether raters’ (N=276 Prolific respondents with prior hiring experience) initial impressions and final ratings differ if applicants record their AVIs from a home-office, a bedroom, or use background blurring settings, as well as the role played by response quality. Final interview scores were positively associated with both initial impressions and applicant response quality. Yet, background type (or the use of blurring) was not associated with initial impressions or final interview scores.

The use of Mexidol in patients with mild (moderate) cognitive impairment: results of a meta-analysis

To conduct a meta-analysis of the effectiveness of Mexidol therapy in patients with chronic brain ischemia (CBI) and cognitive disorders (CD). This meta-analysis included the results of studies on the effectiveness of Mexidol in patients with CD measured with Montreal Cognitive Assessment Scale (MoCA). The pooled effect assessment included all publications from independent clinical trials that provided efficacy data on the MoCA scale with a level of detail sufficient for further mathematical analysis. The main result of the meta-analysis was obtained for the final values of the effectiveness indicator in the Mexidol groups compared with the basic therapy groups. Data from 10 prospective randomized trials containing information on the final scores on the MoCA scale after therapy was analyzed. The meta-analysis of ten prospective clinical studies of the effectiveness of Mexidol against the background of basic therapy in patients with CCI and CD was carried out. The total number of patients taking Mexidol was 482; the comparison group consisted of 455 patients. According to the results of a statistical model of random effects, the effect size was 2.06; 95% confidence interval for the difference in effectiveness between the groups of the study drug and the control groups [0.98; 3.14] (p=0.0002). A statistically significant and clinically significant improvement in the cognitive functions of patients with CBI, was demonstrated after treatment with Mexidol.

Exploring the Teaching Mode of English for Specialized Purposes (ESP) in Colleges and Universities under the PDCA Model

Abstract In this paper, ant colony algorithm and genetic algorithm are combined and applied to the teaching mode of English for Special Purposes (ESP) in colleges and universities, and the optimization of the teaching mode is realized through the PDCA model. The iteration speed of ant colony algorithm is better than that of genetic algorithm in the early stage. In comparison, the iteration speed of genetic algorithm is better in the later stage. By fusing these two algorithms, their respective advantages can be maximized. The study takes two computer science classes as an example, first conducts a needs analysis of the ESP course, and finds that the ratings in English foundation, learning materials, learning mode, and quiz mode are all higher than 5.5. By comparing the final exam scores of the experimental and control classes, it was found that the average score of the practical class was 3.5 points higher than that of the control class, which indicated that the ESP teaching of the PDCA cycle effectively improved the students’ academic performance. The average score of students’ recognition of the ESP teaching model of PDCA cycle was 4.252, while the ratings in satisfaction, participation in classroom interactions, and learning effect were all over 4.1. The analysis of learning motivation shows that “for better employment”, “for promotion”, and “to pass the exam” are the top three motivations for students to choose to learn English for computer science majors, with scores of 175, 174, and 170, respectively. This study effectively demonstrates the potential of combining ACO and Genetic Algorithm in education.

Successful Outcomes with Nonoperative Treatment and Immediate Weightbearing Despite Stress-Positive Radiographs in Isolated Distal Fibula (OTA/AO 44B) Fractures.

Objectives: To determine if a nonoperative management protocol results in equivalent outcomes in isolated OTA/AO 44B (Weber B) fractures without initial medial clear space (MCS) widening regardless of stress radiography findingsDesign: Prospective cohortSetting: Level 1 academic trauma centerPatients/Participants: Sixty-nine patients with isolated OTA/AO 44B fractures and MCS ≤ 4 mm on initial non-weightbearing injury radiographs over a 4-year periodIntervention: nonoperative management of isolated OTA/AO 44B fractures without initial MCS widening > 4 mmMain Outcome Measurements: MCS measurements on weightbearing radiographs at first follow up, six weeks, 12 weeks, and six months post-injury; American Orthopaedic Foot and Ankle Society (AOFAS) ankle-hindfoot scoresResults: None of the 38/69 (55%) patients with widening on gravity stress radiographs demonstrated persistent widening with weightbearing radiographs at any time point. Mean MCS measurement differences between the two cohorts were statistically significant for all time points (p=0.012), however with a model adjusted mean MCS value of 2.7 mm for the non-widening cohort and 2.9 mm for the widening cohort, these are not clinically significant. There was no statistically significant difference in overall final AOFAS scores between the two groups (p=0.451). Additionally, statistical equivalence using Schuirmann's two one-sided tests was achieved between the two groups. Both cohorts had mean AOFAS scores representing excellent outcomes at final follow up.Conclusions: Isolated OTA/AO 44B fractures without MCS widening on initial injury radiographs have equivalent outcomes regardless of gravity stress radiography findings when treated nonoperatively. Weightbearing radiographs at initial follow-up are a reliable assessment of ankle stability in these injuries and are an appropriate alternative to painful and time-consuming stress radiography.Level of Evidence: Therapeutic Level II. See Instructions for Authors for a complete description of levels of evidence.

Reliability of preoperative CT and intraoperative manual tests in syndesmosis injury.

We always confirm the diagnosis of syndesmotic injury with a Hook test for all ankle fractures and fixed if necessary. Then, we noticed a discrepancy between preoperative radiology and the Hook test. Moreover, we want to report the reliability of syndesmotic fixation decisions with Hook test and preoperative radiology. A total of 37 surgically treated patients with isolated Weber type C ankle fractures were included in the study. In all patients, the syndesmosis joint was injured in preoperative computed tomography and X-ray imaging. However, only patients with (+) Hook tests had undergone a syndesmosis fixation. Patients were divided into two groups: Group A: Hook tests (+) and Group B: Hook test (-). Also, the groups were compared according to clinical outcomes with the Visual Analog Scale (VAS), American Orthopedic Foot and Ankle Society (AOFAS), and foot and ankle disability index (FADI) scores. The mean participant age was 39 (19-80) years, and the mean follow-up period was 47.27 (22-68) months. Groups A and B consisted of 17 (45.9%) and 20 (54.1%) patients, respectively. The mean VAS, AOFAS, and FADI scores were 17.7±14.3, 90.32±8.06, and 92.9±6.88, respectively. "Excellent" and "good" results were found in 34 (%91.8) patients according to AOFAS nad FADI. The malreduction rate was 8.1% in all patients, 5% in group A, and 11.8% in group B. No statistically significant differences in final functional scores were found between groups A and B. Hook test is reliable and adequate for evaluating the stability and quality of syndesmosis reduction. Weber type C lateral malleolar fractures in the decision of syndesmosis fixation; although syndesmosis injury is diagnosed in preoperative radiology, we recommend that the diagnosis be confirmed with the Hook test.

Motivational Interviewing as a Tool to Increase Motivation and Adherence to a Long COVID Telerehabilitation Intervention: Secondary Data Analysis from a Randomized Clinical Trial.

Although motivational interviewing was originally developed to address abuse disorders, scientific evidence confirms that it is an increasingly used and effective approach in a wide range of therapeutic interventions. To date, however, no studies have analyzed the use of this tool in patients with persistent symptoms following coronavirus disease 2019, a condition known as Long COVID. To analyze the effectiveness of motivational interviewing with regard to the adherence to telerehabilitation for Long COVID using a mobile application. As a secondary objective, factors related to greater motivation before and after the motivational interviewing techniques were analyzed. This longitudinal design substudy used a sample of 52 adult patients with Long COVID participating in the intervention group of a randomized clinical trial. This trial examined the effectiveness of a telerehabilitation program for this population using a mobile application. This program included three motivational interviews to achieve maximum treatment adherence. In this study, the main variables were motivation and adherence to application use. Sociodemographic and clinical data, personal constructs, and affective state were also collected. Subsequently, a descriptive, correlational, and regression statistical analysis was performed using the SPSS Statistics program. The median motivation prior to the first motivational interview was 8 (IQR 2), the median at the end of the last motivational interview was 8.5 (IQR 2.75), and the change in motivation levels after the three motivational interviews was 0.5 (IQR 1). Affective state and final motivation scores were predictors of greater adherence to telerehabilitation treatment. A high level of motivation after participating in motivational interviewing appears to be related to higher levels of adherence to telerehabilitation in patients with Long COVID. This suggests that motivational interviewing may be an effective tool in the treatment of this disease.