• Title/Summary/Keyword: Patient-specific model

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A Systemic Review of Body Awareness Therapy in Patients with Musculoskeletal Disorders

  • Ahn, Si-Nae
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.154-162
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    • 2022
  • This study aimed to systematically review the available body awareness interventions in patients with musculoskeletal disorders. A total of 3,462 studies were searched in relevant databases using the search keywords, and six studies that met the selection criteria after review were included in the final analysis. The qualitative level of the studies was classified using the five levels of evidence-based classification, and systematic analysis was conducted according to PICO model (patient/population, intervention, comparison and outcomes). Of the six studies included in the final analysis, there were one, three, and two randomized controlled trials, non-randomized two-group studies, and case reports, respectively. Body awareness therapy was applied to patients with idiopathic scoliosis, non-specific musculoskeletal disorder, hip osteoarthritis, and amputation, who showed positive improvements after the interventions. Our results suggested that body awareness therapy is an important intervention with positive effects on the recovery of patients with musculoskeletal disorders.

Suicide Prevention Policy Guideline Model Considering Privacy Law in Korea

  • Do-Hyun Kwon
    • Korean Journal of Biological Psychiatry
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    • v.30 no.1
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    • pp.7-16
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    • 2023
  • Objectives This study aimed to review the Korean Constitution articles 14 and 20 of the "Law on suicide prevention" and investigate public perceptions of specific improvements to suicide prevention policies using results from the Korean 2018 National Survey on Suicide. Methods The questionnaire was designed to analyzing the act restricts sharing of patient information between hospitals, making it difficult to track suicide attempts. The questionnaire was also designed to suggest further medical and normative criteria for objective judgment of continuous follow-up utilizing suicide risk evaluations and proportional principle review that consider patients' and medical staff's basic rights. Results This study identified the result of the 1500 respondents, 79.1% believed that Korea should allow suicide prevention management to be implemented without requiring individual consent to protect suicide attempters. Conclusions According the results, I propose the following criteria for policy improvement: use of anonymized information and non-profit research for technical and ethical considerations, access to medical information only for therapeutic purposes, and use of surgical severity assessment criteria appropriate for Korea.

Dynamic bivariate correlation methods comparison study in fMRI

  • Jaehee Kim
    • Communications for Statistical Applications and Methods
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    • v.31 no.1
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    • pp.87-104
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    • 2024
  • Most functional magnetic resonance imaging (fMRI) studies in resting state have assumed that the functional connectivity (FC) between time series from distinct brain regions is constant. However, increased interest has recently been in quantifying possible dynamic changes in FC during fMRI experiments. FC study may provide insight into the fundamental workings of brain networks to brain activity. In this work, we focus on the specific problem of estimating the dynamic behavior of pairwise correlations between time courses extracted from two different brain regions. We compare the sliding-window techniques such as moving average (MA) and exponentially weighted moving average (EWMA), dynamic causality with vector autoregressive (VAR) model, dynamic conditional correlation (DCC) based on volatility, and the proposed alternative methods to use differencing and recursive residuals. We investigate the properties of those techniques in a series of simulation studies. We also provide an application with major depressive disorder (MDD) patient fMRI data to demonstrate studying dynamic correlations.

The Correction of Mild Mandibular Prognathism Using Mandibular Anterior Segmental Osteotomy (하악 전방분절 절골술을 이용한 경미한 하악전돌증의 교정)

  • Choi, Jae Ho;Choe, Joon;Kim, Young Hwan;Yun, Sung Ho;Kim, Young Soo;Choi, Young Woong
    • Archives of Plastic Surgery
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    • v.34 no.6
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    • pp.777-784
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    • 2007
  • Purpose: For a minor degree of mandibular prognathism, mandibular anterior segmental osteotomy (ASO), usually extracting the bilateral premolars, has been performed frequently to correct malocclusion of the anterior teeth. Preoperative planning using cephalometry and a dental model is very important for such a orthognathic surgery. Depending on the specific preoperative mock surgery with the dental model, ASO, with ipsilateral unitooth extraction, is defined to be feasible and performed for ten patients. The comparisons of its preoperative and postoperative analysis of clinical photographs, dental casts, and lateral cephalograms, for soft tissue profiles, skeletal and dental relationships are described in the following, and its clinical applications are noted. Methods: From March 1, 2004, to March 31, 2006, We performed 10 mandibular ASO by extraction of ipsilateral unitooth to improve their lower facial profiles and the lip relationships. Patient age ranged from 19 to 33 years, with a mean age of 25.6 years. Two were males and eight were females. Results: All patients were satisfied with aesthetic and occlusal changes postoperatively. Significant and persistent decrease in the SNB and interincisal angle were observed in the postoperative cephalometries. The soft tissue profiles also were improved and near Ricketts's esthetic line. Other combined procedures include nine genioplasties, two rhinoplasties, and one blepharoplasty. One patient complained of transient unilateral inferior mental nerve paresthesia. There were no other significant complications or relapses throughout the follow-up period(6-20 months). Conclusion: Mandibular ASO, extracting the ipsilateral unitooth, was performed for ten patients to correct mild mandibular prognathism. The amount of setback of the mandibular anterior portion was 2 to 3 mm, and satisfactory results were obtained combined with genioplasties.

The Manufacture of Custom Made 3D Titanium Implant for Skull Reconstruction

  • Cho, Hyung Rok;Yun, In Sik;Shim, Kyu Won;Roh, Tai Suk;Kim, Yong Oock
    • Journal of International Society for Simulation Surgery
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    • v.1 no.1
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    • pp.13-15
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    • 2014
  • Nowadays, with advanced 3D printing techniques, the custom-made implant can be manufactured for the patient. Especially in skull reconstruction, it is difficult to design the implant due to complicated geometry. In large defect, an autograft is inappropriate to cover the defect due to donor morbidity. We present the process of manufacturing the 3D custom-made implant for skull reconstruction. There was one patient with skull defect repaired using custom-made 3D titanium implant in the plastic and reconstructive surgery department. The patient had defect of the left parieto-temporal area after craniectomy due to traumatic subdural hematoma. Custom-made 3D titanium implants were manufactured by Medyssey Co., Ltd. using 3D CT data, Mimics software and an EBM (Electron Beam Melting) machine. The engineer and surgeon reviewed several different designs and simulated a mock surgery on 3D skull model. During the operation, the custom-made implant was fit to the defect properly without dead space. The operative site healed without any specific complications. In skull reconstruction, autograft has been the treatment of choice. However, it is not always available and depends on the size of defect and donor morbidity. As 3D printing technique has been advanced, it is useful to manufacture custom-made implant for skull reconstruction.

The Effect of Doctor's Payment Method on Practice Behavior (지불보상체계가 의사의 진료행태에 미치는 영향 : 미국사례 분석)

  • Lim Jae-Young
    • Health Policy and Management
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    • v.14 no.4
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    • pp.48-74
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    • 2004
  • Considering the existence of asymmetric information between doctor and patient, the doctor's reimbursement method has been considered as a desirable policy device of improving efficiency of patient's use of medical care in terms of its affecting doctor's practice pattern by determining doctor's practice revenue. By using the Community Tracking Study (CTS) physician data set, which includes not only various information on doctors practice arrangements and sources of practice revenue, but also vignettes of various clinical presentations, this paper investigates doctor's reaction to the financial incentive under the control of patient's specific medical situation. Under the econometric model for exploring the effect of doctor's reimbursement method on his/her practice patterns; referring patients, recommend doctor-visit or medical tests, the Hausman's specification test was used for checking out the possibility of the doctor's reimbursement method being endogeneized explanatory variable. In the case where the endogeneity problem of doctor's reimbursement method exists, the 2SLS method was used for correcting that problem, and the multiple regression method was used in the case where the problem is found to be nonexistent. Based on the empirical results, this paper finds that doctors do appear to respond to financial incentive. The empirical results show that the doctor's reimbursement method statistically significantly affects doctor's practice pattern and are coincident with the theoretical result proposed by previous researches, This results suggest, as doctor's practice revenues are mainly determined by prospective method, such as capitation, doctors would more refer their patients to specialists, and hesitate in recommending doctor-visit or medical exam.

Effects of Hospital-based Home Care Demonstration Project on Physical and Emotional Problems and Cost - effectiveness of Patients having Arthritis (병원중심 가정간호 사업의 평가 연구 -외래 관절염 환자를 대상으로 -)

  • Lim, Nan-Young;Kim, Seong-Yoon;Lee, Eun-Ok;Lee, In-Sook
    • Journal of muscle and joint health
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    • v.3 no.1
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    • pp.4-22
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    • 1996
  • Purposes of this study were to identify a hospital-based home care model and to improve the physical, emotional and economical effectiveness of arthritic patients through medical and nursing team approach. The design in nonequivalent control group pretest-posttest design with matched samples in terms of age, sex and disease severity. Fifty two patients in each group were assigned in Seoul, Kyunggi, Kangwon and Kwangju. Before and after 6-month period of home care, level of pain, duration of morning stiffness, Richie Index, ADL, self efficacy, depression, cost expenditure were measured. Nine patients were excluded from the control group in the period of study because of denial of participation. Contents of home care provided to the experimental group include mainly distribution of prescribed drugs, 'assessment of patients' condition and side-reactions of drug. All of the information related to the home care patient were reported to the physician. On the bases of these data, the physician prescribe the specific drugs to each patient. Each patient visited the physician every 2 or 3 month for laboratory test. Patients assigned to the control group visited the outpatient clinic once a month as usual. Null hypotheses were selected because physicians concerned about the ineffective change of patients' conditions due to indirect communication with patients through nurses. Level of pain, Richie index, ADL, self-efficacy, depression, duration of morning stiffness and direct medical cost were the home care provided to them. If a family member accompany in a home care group can save 10,676 Won/month in Seoul, 34,000 Won/month in other districts. Other in-direct cost for transportation and meal can also be saved. In conclusion, those patients with low level of ADL, high level of pain and Richie index, living in the remote area definitely need the home care.

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Development and validation of a computational multibody model of the elbow joint

  • Rahman, Munsur;Cil, Akin;Johnson, Michael;Lu, Yunkai;Guess, Trent M.
    • Advances in biomechanics and applications
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    • v.1 no.3
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    • pp.169-185
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    • 2014
  • Computational multibody models of the elbow can provide a versatile tool to study joint mechanics, cartilage loading, ligament function and the effects of joint trauma and orthopaedic repair. An efficiently developed computational model can assist surgeons and other investigators in the design and evaluation of treatments for elbow injuries, and contribute to improvements in patient care. The purpose of this study was to develop an anatomically correct elbow joint model and validate the model against experimental data. The elbow model was constrained by multiple bundles of non-linear ligaments, three-dimensional deformable contacts between articulating geometries, and applied external loads. The developed anatomical computational models of the joint can then be incorporated into neuro-musculoskeletal models within a multibody framework. In the approach presented here, volume images of two cadaver elbows were generated by computed tomography (CT) and one elbow by magnetic resonance imaging (MRI) to construct the three-dimensional bone geometries for the model. The ligaments and triceps tendon were represented with non-linear spring-damper elements as a function of stiffness, ligament length and ligament zero-load length. Articular cartilage was represented as uniform thickness solids that allowed prediction of compliant contact forces. As a final step, the subject specific model was validated by comparing predicted kinematics and triceps tendon forces to experimentally obtained data of the identically loaded cadaver elbow. The maximum root mean square (RMS) error between the predicted and measured kinematics during the complete testing cycle was 4.9 mm medial-lateral translational of the radius relative to the humerus (for Specimen 2 in this study) and 5.30 internal-external rotation of the radius relative to the humerus (for Specimen 3 in this study). The maximum RMS error for triceps tendon force was 7.6 N (for Specimen 3).

Scale Development and Model Validation for the Process of Exercise Engagement for People with Prediabetes

  • Chang, Shu-Chuan;Yeh, Hsiu-Chen;Kuo, Yu-Lun
    • Journal of Korean Academy of Nursing
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    • v.50 no.2
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    • pp.298-312
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    • 2020
  • Purpose: This study had two objectives: 1) to develop a scale for the process of exercise engagement (SPEE) for prediabetic individuals (PDIs); 2) to validate a structural model for the process of exercise engagement for PDIs. Methods: A cross-sectional survey with simple random sampling was conducted from September 2013 to December 2015 (in Taiwan). A total of 310 PDIs were enrolled for scale development and model validation via item analysis, factor analyses, and structural equation modeling. The Kuo model was used as the basis for developing the Chinese version of the SPEE for PDIs. Results: The SPEE contains five subscales with a total of twenty-one items that account for 54.9% to 65.9% of the total variance explained for assessing participants' process of engagement during exercise. For Kuo model validation, the model measures indicated goodness of fit between the Kuo model and sample data. Analysis further revealed a direct effect between the creating health blueprints (CHB) stage and the spontaneous regular exercise (SRE) stage (β=.60). Conclusion: The SPEE includes five subscales for assessing the psychological transition and behavioral expression at each stage of the process of exercise engagement for PDIs. The SPEE for people with prediabetes provides deeper insights into the factors of behavioral change stages that are required to initiate long-term health care outcomes and avoid developing diabetes. These insights are significant as they allow for patient-specific mapping and behavior modification to effect exercise.

Semantic Role Labeling using Biaffine Average Attention Model (Biaffine Average Attention 모델을 이용한 의미역 결정)

  • Nam, Chung-Hyeon;Jang, Kyung-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.662-667
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    • 2022
  • Semantic role labeling task(SRL) is to extract predicate and arguments such as agent, patient, place, time. In the previously SRL task studies, a pipeline method extracting linguistic features of sentence has been proposed, but in this method, errors of each extraction work in the pipeline affect semantic role labeling performance. Therefore, methods using End-to-End neural network model have recently been proposed. In this paper, we propose a neural network model using the Biaffine Average Attention model for SRL task. The proposed model consists of a structure that can focus on the entire sentence information regardless of the distance between the predicate in the sentence and the arguments, instead of LSTM model that uses the surrounding information for prediction of a specific token proposed in the previous studies. For evaluation, we used F1 scores to compare two models based BERT model that proposed in existing studies using F1 scores, and found that 76.21% performance was higher than comparison models.