scholarly journals Care Transitions From Hospital to Community Among Oncological Patients

2021 ◽  
Author(s):  
Caroline Donini Rodrigues ◽  
Elisiane Lorenzini ◽  
Manuel Portela Romero ◽  
Nelly Donszelmann Oelke ◽  
Vanessa Dalsasso Batista Winter ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Care Transitions ◽  
Cross Sectional Study ◽  
Care Plan ◽  
Self Management ◽  
Sectional Study ◽  
Cross Sectional ◽  
Discharge Data ◽  
Oncological Patients ◽  
Significant Difference

Abstract Purpose To analyze the transition of care from the perspective of cancer patients, in a hospital in southern Brazil, correlating perspectives with sociodemographic and clinical characteristics. Methods Cross-sectional study using the Care Transitions Measure (CTM) with cancer patients undergoing clinical or surgical treatment following hospital discharge. Data collection was completed by telephone between June and September 2019. Data analysis was performed using descriptive and inferential statistics. Results The average CTM score was 74.1, which was considered satisfactory. The CTM factors, understanding about medications (83.3) and preparation for self-management (77.7) were satisfactory, while secured preferences (69.4) and care plan (66.1) were unsatisfactory for an effective and safe care transition. No statistically significant difference was found between sociodemographic variables and the CTM. Among the clinical variables, primary cancer and the secured preferences factor showed a significant difference (p = 0.044). Conclusion The transition from hospital care to the community was considered satisfactory in the overall assessment.

scholarly journals 24-hour Holter findings in infants with in utero exposure to Zika virus: a cross-sectional study.

2019 ◽  
Author(s):  
Dulce Helena Gonçalves Orofino ◽  
Sonia Regina Lambert Passos ◽  
Sheila Moura Pone ◽  
Marcos Silva Pone ◽  
Elisa Barroso de Aguiar ◽  
...  
Keyword(s):  
Heart Rate ◽  
Zika Virus ◽  
Qt Interval ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Discharge Data ◽  
Whitney Test ◽  
Mann Whitney Test ◽  
Significant Difference

Abstract Background : Antenatal exposure to the Zika virus (ZIKV) is related to severe neurological, ophthalmological and orthopedic manifestations called congenital Zika syndrome (CZS), but no changes in the electrical activity of the heart have been found. A higher prevalence of structural cardiac changes has been described in CZS patients when compared to the general population of live births. To describe 24-hour Holter findings in infants with confirmed antenatal exposure to ZIKV. Methods : Cross-sectional study of 24-hour Holter findings in infants with antenatal exposure to ZIKV confirmed by positive polymerase chain reaction(PCR) . Patients of the cohort of newborns and infants exposed intrautero to the ZIKV which began in November 2015 and continues to date and were hospitalized for clinical or surgical reasons were included. The 24-hour Holter monitoring was performed the day before discharge. Data analysis was descriptive and included subgroups of patients according to the presence of CZS and severe microcephaly. Heart rate, ST segment, QT interval and arrhythmias were evaluated. To evaluate heart rate variability (HRV) we used time domain analysis. The Mann-Whitney test was performed to verify significant differences between the subgroups of patients. Results : The sample consisted of 15 infants with average age of 16 months and 12 were diagnosed with CZS (8 had severe microcephaly). PCR at birth was positive in 8 newborn and 7 had positive maternal PCR during pregnancy. No arrhythmias or QT interval changes were observed. The Mann-Whitney test showed a significant difference between patients with and without CZS and with and without severe microcephaly, with HRV being lower in the groups with severe microcephaly and CZS. Conclusions : The study suggests that the HRV evaluation can be used as a sentinel event to assess the possibility of progressive neurological impairment in newborns with antenatal exposure to ZIKV, allowing early initiation of stimulation therapies in addition to indicating that cardiovascular complications may arise in the medium and long term.

Psychological distress in cancer patient during chemotherapy: A cross-sectional study.

2016 ◽  
Vol 34 (26_suppl) ◽  
pp. 231-231
Author(s):  
Harminder Singh ◽  
Raja Banipal
Keyword(s):  
Cancer Patients ◽  
Holistic Approach ◽  
Cross Sectional Study ◽  
Study Data ◽  
Sectional Study ◽  
Depression Anxiety Stress Scale ◽  
Cross Sectional ◽  
Cancer Management ◽  
Significant Difference ◽  
Impacting Factors

231 Background: The State of Punjab is experiencing a rising burden of cancer. The objective of this study was to analyze and compare depression, anxiety and stress levels and their impacting factors in heterogenous surviving cancer patients. Methods: this is a cross sectional study, data collection was performed by Depression, anxiety, stress scale 21-DASS 21. Results: study population include 300 cancer patients and 300 matched controls. The mean age of the cases and controls were 50.58 years ± 13. 64 and 46.1 years ± 11.78 (M ± SD). A Statistical significant difference was observed in mean scoring of depression, anxiety and stress in cancer patients when compared to control groups. Anxiety mean score significantly affected by chemotherapy cycles and duration of disease. Conclusions: Holistic approach in cancer management is a need of time as the present study revealed, the range of depression, anxiety and stress was 90%, 56% and 28% respectively. [Table: see text]

scholarly journals Comparison of predicted psychological distress among workers between artificial intelligence and psychiatrists: a cross-sectional study in Tsukuba Science City, Japan

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046265
Author(s):  
Shotaro Doki ◽  
Shinichiro Sasahara ◽  
Daisuke Hori ◽  
Yuichi Oi ◽  
Tsukasa Takahashi ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Psychological Distress ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
The Neural Network ◽  
Significant Difference ◽  
Total Data

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.

scholarly journals Prevalence of dysmenorrhoea, associated risk factors and its relationship with academic performance among graduating female university students in Ethiopia: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e043814
Author(s):  
Mesfin Tadese ◽  
Andargachew Kassa ◽  
Abebaw Abeje Muluneh ◽  
Girma Altaye
Keyword(s):  
Risk Factors ◽  
Academic Performance ◽  
University Students ◽  
Cross Sectional Study ◽  
Secondary Outcome ◽  
Sectional Study ◽  
Cross Sectional ◽  
Grade Point ◽  
Significant Difference ◽  
Associated Risk Factors

ObjectivesThe study aimed to provide an association between dysmenorrhoea and academic performance among university students in Ethiopia. Further, the study attempts to determine the prevalence and associated risk factors of dysmenorrhoea.Design and methodInstitution-based cross-sectional study was conducted from 1 April to 28 April 2019. A semistructured and pretested self-administered questionnaire was used to collect data. Binary logistic regression analysis and one-way analysis of variance were performed to model dysmenorrhoea and academic performance, respectively.Setting and participantsEthiopia (2019: n=647 female university students).OutcomesThe primary outcome is dysmenorrhoea, which has been defined as painful menses that prevents normal activity and requires medication. The self-reported cumulative grade point average of students was used as a proxy measure of academic performance, which is the secondary outcome.ResultsThe prevalence of dysmenorrhoea was 317 (51.5%). The educational status of father (adjusted OR (AOR) (95% CI) 2.64 (1.04 to 6.66)), chocolate consumption (AOR (95% CI) 3.39 (95% 1.28 to 8.93)), daily breakfast intake (<5 days/week) (AOR (95% CI) 0.63 (0.42 to 0.95)), irregular menstrual cycle AOR (95% CI) 2.34 (1.55 to 3.54)) and positive family history of dysmenorrhoea AOR (95% CI) 3.29 (2.25 to 4.81)) had statistically significant association with dysmenorrhoea. There was no statistically significant difference in academic performance among students with and without dysmenorrhoea (F (3611)=1.276, p=0.28)).ConclusionsDysmenorrhoea was a common health problem among graduating University students. However, it has no statistically significant impact on academic performance. Reproductive health officers should educate and undermine the negative academic consequences of dysmenorrhoea to reduce the physical and psychological stress that happens to females and their families.

scholarly journals Evaluation of e-health (Seha) application: a cross-sectional study in Saudi Arabia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abeer Alharbi ◽  
Joharah Alzuwaed ◽  
Hind Qasem
Keyword(s):  
Saudi Arabia ◽  
Health Services ◽  
Healthcare Services ◽  
Cross Sectional Study ◽  
Advanced Technology ◽  
Sectional Study ◽  
Cross Sectional ◽  
Technical Problems ◽  
Significant Difference ◽  
Ease Of Access

Abstract Background The Ministry of Health in Saudi Arabia is expanding the country’s telemedicine services by using advanced technology in health services. In doing so, an e-health application (app), Seha, was introduced in 2018 that allows individuals to have face-to-face visual medical consultations with their doctors on their smartphones. Objective This study evaluated the effectiveness of the app in improving healthcare delivery by ensuring patient satisfaction with the care given, increasing access to care, and improving efficiency in the healthcare system. Methods A cross-sectional study design was used to assess the perceptions of users of the Seha app and non-users who continued with traditional health services. The data were collected using an online survey via Google Forms between June 2020 and September 2020. Independent t tests and chi-square (χ2) tests were conducted to answer the research questions. Results There was a significant difference between users and non-users in terms of ease of access to health services (t =  − 9.38, p < 0.05), with app users having a higher mean score (4.19 ± 0.91) than non-users (3.41 ± 1.00); satisfaction with health services (t =  − 6.33, p < 0.05), with users having a higher mean score (3.96 ± 0.91) than non-users (3.45 ± 0.94); and efficiency (only one visit needed for treatment) (t =  − 3.20, p < 0.05), with users having a higher mean score (3.71 ± 0.93) than non-users (3.45 ± 0.93). There were significant associations between the use of the Seha app and age (χ2 = 8.79, p < 0.05), gender (χ2 = 22.19, p < 0.05), region (χ2 = 19.74, p < 0.05), and occupation (χ2 = 22.05, p < 0.05). There were significant relationships between the three items (on access, satisfaction, and efficiency) and experiencing technical issues (t = 4.47, t = 8.11, and t = 3.24, respectively, p < 0.05), with users who faced technical problems having significantly lower mean scores for all three items. Conclusion This study provided evidence that the Seha app improved the delivery of healthcare in Saudi Arabia. Users of the app had a better health experience in terms of their perceived ease of access to healthcare services; their satisfaction with healthcare services; and the efficiency of the system, measured by the number of required doctor visits. Other factors that appeared to influence the use of the app included age, gender, usual source of care, and technical difficulties.

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