Journal for ReAttach Therapy and Developmental Diversities (JRTDD)
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Homoeopathic Management of Migraine Based On Boenninghausen’s Therapeutic Pocket Book
No full textThe study is prospective multicenter observational study. In this study 100 cases of migraine were treated according to the different criteria mentioned in methodology and collect the statistics and after analysis draw the conclusion. Migraine
OBJECTIVE- Migraine is the third most prevalent disabling functional neurological illness.it has high prevalence among high socioeconomic and young women. Migraine is the most common disease in developing countries due to change in lifestyle irregular and faulty dietary habits.at present there is no complete cure for migraine in modern medicine. modern medicine made this disease more complicated by applying different type of analgesic and sedative drugs. That at last becomes less effective after prolong use. Sever episode of migraine disturb the quality of life and may lead to other systemic complications. Migraine is one-sided disease where lack of symptoms presented by the patients at that time required those medicine which is special affinity to the case of migraine, This study was undertaken with aim to prove the efficacy of homoeopathic medicine in cases of migraine using BTPB and medicine were prescribed on the totality of symptom which proved beneficial for maximum number of cases and thus the efficacy of homoeopathic medicine was proved in treatment of migraine
A Comparative Linguistic Study of Cohesion and Coherence in Arabic- Speaking Aphasic Patients
No full textOur research focuses on analyzing and interpreting aphasia based on the principles of the neokhalilien theory linguistic theory. This study was grounded on several hypotheses, primarily that aphasia affects cohesion (formal verbal analysis) and coherence (semantic propositional analysis). To achieve our objective, we developed a psycholinguistic protocol consisting mainly of a language analysis grid, in addition to a cohesion and coherence scale. This protocol was applied to a sample of 30 individuals: 10 typical individuals, 10 individuals with Broca\u27s aphasia, and 10 with Wernicke\u27s aphasia.The statistical and qualitative results of the study indicated that while aphasia represents a disorder at the levels of cohesion and coherence, there are statistically significant differences in these abilities, attributed to the type of aphasia (Broca\u27s aphasia/Wernicke\u27s aphasia), the degree of morphological derivation (root forms/derived forms), the type of affixes (structural affixes/connecting affixes), and variations in discourse contexts
EHR-Driven Readmission Prediction: Transparent ML Models For Clinical Decision Support
Full text linkWe obtain de-identified electronic health record data from a prominent hospital with a substantial patient population. Furnish comprehensive clinical data, encompassing age, gender, ethnicity, and socioeconomic status (if accessible). ICD diagnosis encoded. Electronic Health Records and hospital dosages History of hospitalization and medical procedures Laboratory findings including blood tests and imaging results. Data is sanitized and organized post-collection. Machine learning retrieves absent categorical data by mean/median imputation, forward filling, and outlier identification and rectification. Incorporating characteristics enhances model efficacy. Charlson The Comorbidity Index (CCI) values may also indicate patient comorbidity.
We analyze readmission risk prediction by multidimensional interpretable machine learning. Rule-based models employ comprehensible logic, exemplified as designating "high risk" for CHF patients having a pneumonia hospitalization history during the preceding 6 months. Rules-based models analyze complex data but exhibit limited flexibility.
Decision trees classify data utilizing qualities. Clinicians may assess risk using decision trees.
LIME elucidates patient predictions from any black-box model. Modeling the behavior at a data point highlights the advantages of the patient\u27s prediction.
We employ interpretable methodologies to integrate model precision with clinically relevant risk assessment.
Prediction performance and calibration serve as criteria for model assessment. AUROC typically assesses a model\u27s ability to differentiate between readmission and non-readmission. Elevated AUROC levels indicate superior discrimination. Evaluate genuine positives (high-risk readmissions) and true negatives. PPV signifies a high risk of readmission. K-fold cross-validation mitigates overfitting and offers a comprehensive estimation of model performance for thorough evaluation.
 
Balancing Security And Convenience: Sso And Oauth For Healthcare Data In Aws Govcloud
Full text linkCloud-based health apps must keep patient info safe. This research shows that SSO and OAuth might make it easier for patients to get to their data in safe AWS GovCloud healthcare apps.
To provide better care, healthcare must find a balance between patient privacy and data access. Application-specific login password security is available, but it is not safe or efficient.
AWS GovCloud healthcare apps should use SSO and OAuth. Use SSO to log in to apps in the healthcare environment. OAuth is in charge of patient info. AWS GovCloud lets government and healthcare groups use cloud services that are HIPAA-compliant. The security design and compliance certifications of AWS GovCloud help healthcare businesses run apps safely and meet data protection standards.
Central IdPs are used in the planned healthcare network. Only this IdP checks the users of healthcare apps. After IdP authentication, SAML sends user credentials safely to the AWS GovCloud target application.
Next, OAuth is great. The healthcare app gives you tools while the central IdP gives the go-ahead. OAuth lets apps get to patient info safely. Users give apps permission to view their EHRs. The combined method makes things safer. Cut down on login information to stop brute-force attacks and password tiredness. Unified user management in the IdP limits access to patient data to only approved healthcare providers in a complex way.
OAuth only lets apps access employment info. Security risks go down when data traces are smaller. Lastly, healthcare data platforms are safe because AWS GovCloud security is built in. Problems with patient safety. Advanced permissions are managed by OAuth flows in suggested design. The patients pick who can see their information. In IdP fine-grained access control rules, entry is limited by the person who has the least privilege. The design meets the strict rules set by HIPAA for keeping data safe. It is legal to use granular consent and authorization boundaries, as well as centralized IdP authentication. AWS GovCloud apps make it easier to follow the rules for cloud design in healthcare.
SSO/OAuth makes it easier for healthcare workers to use. Clinicians and others can get to patient info without having to remember a lot of passwords. Less mental stress makes caring for patients easier. To put the plan into action, technical problems must be solved. Apps for health care may need SSO and OAuth APIs. To keep an eye on what users and data do, you need strong logging and tracking.The research is pointed. In the future, researchers may look into how MFA improves control over entry. Blockchain audit trails and history can be looked at. 
Symptom Profiles And Clinical Correlates Of Paranoid Schizophrenia In Vietnamese Patients
No full textAim: Paranoid schizophrenia presents diverse clinical features, and the factors contributing to this heterogeneity are not well understood, particularly in the Vietnamese population. We hypothesized that Vietnamese patients with paranoid schizophrenia would exhibit a high prevalence of auditory hallucinations and delusions, with varying content, behavioral impact, and temporal occurrence. Significant associations and predictors of specific symptom domains were anticipated.
Methods: This prospective study included 230 Vietnamese patients diagnosed with paranoid schizophrenia according to ICD-10 criteria. Patients were assessed for the presence, content, behavioral impact, and temporal occurrence of auditory hallucinations, delusions, thought form disorders, mood disorders, volitional activity disorders, and negative symptoms using structured questionnaires. Associations between demographic, clinical, and symptom-related characteristics were analyzed using appropriate statistical methods, and multivariate linear regression identified independent predictors of specific symptom domains.
Results: Auditory hallucinations and delusions were highly prevalent, with commenting voices (79.1%) and persecutory delusions (87.0%) being the most common. The content of these symptoms was more likely unreal than real. Age, illness duration, and the number of auditory hallucinations were significantly correlated with specific symptom domains. The number of concurrent auditory hallucinations and illness duration emerged as independent predictors of mood disorders and negative symptoms, respectively.
Conclusion: This study provides novel insights into the clinical heterogeneity of paranoid schizophrenia in Vietnamese patients, highlighting the importance of considering interrelationships between symptom domains. Identifying specific predictors for mood disorders and negative symptoms underscores the need for targeted interventions in this population
Sociodemographic Predictors Of Quality Of Life Among Type 2 Diabetes Mellitus (T2DM) Patients In Kota Kinabalu, Sabah
Full text linkIntroduction: Quality of life (QOL) is a multidimensional concept encompassing subjective evaluations of both positive and negative aspects of life. Diabetes adversely affects a patient\u27s psychological and physical well-being, as well as their social functioning. As a result, the disease often leads to a deterioration in the quality of life (QoL) of patients. The World Health Organization (WHO) has warned that diabetes is reaching epidemic proportions, with expectations that cases will surpass 300 million by 2025. According to the National Morbidity Survey conducted in 2019, the prevalence of diabetes among the population aged 18 and above stands at 9.4%, which equates to about 3.9 million people. Research concerning QOL in Sabah and its associated factors remains limited. This study aims to determine the QOL associated with T2DM in Kota Kinabalu, Sabah.
Methods: A cross-sectional study was carried out on Type 2 diabetes mellitus (T2DM) patients at a government health clinic in Kota Kinabalu, Sabah, with a sample size of 313. All these patients were actively registered under the National Diabetes Registry Malaysia (NDR) and were receiving treatment at the government clinic. Data, encompassing demographic details and ADDQOL scores, were analyzed using SPSS 28. A significant association was identified between Type 2 diabetes mellitus and quality of life.
Results: The average age of the diabetic patients was 54 years, with a range spanning from 21 to 88 years. The majority of the sample comprised females (55%), those who were married (90.7%), unemployed (37.7%), and had a household income exceeding RM2000 (34.8%). The majority had completed high school (51.8%). The mean (standard deviation, SD) ADDQol-19 average weighted impact score was -4.67(0.13). All 19 domains reflected a negative impact, with living conditions, working life, and family life being particularly affected. Multiple linear regression analysis indicated that age (adjusted B = 0.03, p = 0.005), out-of-pocket expenses (adjusted B = -0.98, p = 0.003), and occupation (adjusted B = 0.58, p = 0.036) were predictors of quality of life.
Conclusion: T2DM exerts a negative influence on the quality of life of patients across various aspects of their lives. The data suggest that older patients have a better QOL, likely due to adaptation over time. The importance of employment for an enhanced QOL was also underscored in this study
The Competence To Apply Mindfulness-Based Therapy In Counseling Practice: A Vietnamese Case
No full textBackground: Mindfulness-based therapy has gained popularity as an effective approach in promoting mental health and reducing stress. However, little is known about counseling practitioners\u27 competence in applying mindfulness-based therapy in Vietnam, an emerging nation with a growing interest in mental health services. This study aimed to assess the current status of counseling practitioners\u27 competence in using mindfulness-based therapy in their counseling practices.
Methods: A cross-sectional study was conducted with 58 counseling practitioners from hospitals, psychological clinics, and schools in Vietnam. Participants completed a questionnaire based on Benjamin Bloom\u27s taxonomy to assess their competence at three cognitive levels: Remember, Understand, and Apply. Descriptive statistics were used to analyze the data.
Results: The results showed that the participants had an average level of competence in applying mindfulness-based therapy. They demonstrated better understanding and application skills compared to recall ability. Older and more experienced practitioners showed higher competence levels. However, gender differences were observed in the understanding of mindfulness-based therapy.
Conclusion: This study highlights the need for improved training opportunities and supervision to enhance counseling practitioners\u27 competence in using mindfulness-based therapy in Vietnam. The findings contribute to the development and integration of evidence-based mindfulness practices in the country\u27s mental health services.
Ayurvedic Management Of Gridhrasi W.S.R. Sciatica-A Case Study
No full textGridhrasi is one of the most common disorders of Vata, which closely resembles with sciatica, which is characterized by pain or discomfort associated with sciatic nerve. The prevalence of sciatica varies considerably ranging from 3.8% in the working population to 7.9% in the nonworking population. Contemporary medicine has limitations giving short-term relief in pain or surgical intervention with side effect.
Aim and Objectives: The aim of this study was to access the efficacy of Ayurvedic management with shephali patra kwath in Gridhrasi. It is a single case study of a 49‑year‑old woman who was diagnosed with sciatica by an Allopathy doctor who gave her steroids but this had no positive impact on her condition. The condition worsened and she had swelling at her ankle joint. She approached Ayurvedic treatment further where she was given Shephali patra kwath. The treatment was continued for consecutive 30 days. Symptomatic assessment of patient was carried out after every 8 days and satisfactory outcome was there and overall quality of life of patient was significantly improved
MUCOEPIDERMOID CARCINOMA- A CLINICAL CASE REPORT
No full textMucoepidermoid carcinoma (MEC) is the commonest malignant salivary gland tumour affecting the parotid gland in adults and children. Typically, mucoepidermoid carcinomas (MECs) are found in the tracheobronchial, lacrimal, and salivary glands. The purpose of this case report is to discuss the clinical manifestation, diagnosis, and treatment plan of MEC of the parotid gland. A 53 years old male came to the Outpatient Department with chief complaint of swelling in the left side of the face. The primary course of treatment for this tumour has been surgical resection. FNAC of the lesion confirmed the diagnosis of Pleomorphic adenoma following which a wide surgical excision with adjacent free margins was carried out. This case report highlights the need for proper diagnosis and treatment plan in the cases of malignant tumors as it can lead to morbidity and mortalit
“MENTAL WELL-BEING OF HOUSEKEEPING WORKERS WORKING DURING COVID-19 PANDEMIC IN A SELECTED TERTIARY CARE HOSPITAL”
No full textBackground of the study: Mental well-being is an important contributor to workplace productivity, success, and job satisfaction. There are many ways in which factors in the workplace can contribute toward mental well-being., examples include good professional relationships, clear feedback and instructions, positive feedback, and work life balance. The purpose of the study is to assess the Mental well-being of housekeeping workers working during COVID-19 Pandemic. Methodology: Quantitative descriptive research approach was adopted, total 255 Workers working during COVID-19 Pandemic were selected through total enumeration sampling technique. Data was collected from selected tertiary care hospital, Dehradun by using demographic data sheet and Warwick Edinburgh Mental Wellbeing Scale. The data was analyzed by using descriptive and inferential statistics. Results: Result shows that out of 255 samples majority of the participants were female. 54.9% & (52.1%) were within the age group of 32-45years. Most of the Housekeepers were educated till Primary 56.9%, Majority of housekeeping workers were healthy, and 100% of the housekeeping workers were having knowledge regarding COVID 19. During COVID 19 most of the housekeeping workers (42.3%) were living in their own house. Majority of participants i.e., 88.2% were having children. One third of participant during covid 19 pandemic i.e., 50.5% had worked in covid wards, 69.1% housekeepers were having experience of more than four years, as non-parametric test was applied and it was found that there was statistically association between mental well-being and socio-demographic variable i.e. mental wellbeing of housekeeping workers with the had any medical surgical illness variables at the significance level of (p<0.05). No association was found with gender, age, education, medical surgical illness, marital status, occupation of your spouse, awareness about COVID 19, work experience, posting during COVID 19, place of residence during COVID 19. The mean score of mental well-being of housekeeping workers was 55.61 with standard deviation 3.79 which means that most of the housekeeping workers has average mental well-being, (50.6%) of housekeeping workers felt optimistic about the future, 43.9% felt useful, 33.7% felt relaxed, 27.5% felt interested in other people , 19.6% had energy to spare , 18% were dealing with problem well, 16.9% able to think clearly , 13.7% felt good about him/herself, 9.4% felt close to other person, 6.3% felt confident , 5.5% able to make up my own mind about things, feeling loved and interested in new things , 1.2% felt cheerful. Out of 255 housekeepers, 82% of housekeeping workers are having Average mental wellbeing and 18% of housekeeping workers have above average mental well-being. Conclusion: Most of the housekeeping workers Mental well-being of during COVID 19 were averag