scholarly journals Correlation between Covid-19 and weather/climate indicators: A Response

2020 ◽  
Vol 1 (1) ◽  
pp. 34-35
Author(s):  
Ansari Saleh Ahmar
Keyword(s):  
New York ◽  
Ordinal Data ◽  
Rank Correlation ◽  
Analytical Tool ◽  
Spearman Rank Correlation ◽  
Spearman Rank ◽  
Normality Test ◽  
Climate Indicators ◽  
Total Environment ◽  
Selection Of

This is a response to article by Dr. Ramadhan Tosepu and his colleagues entitled: “Correlation between the weather and the Covid-19 pandemic in Jakarta, Indonesia” in Science of The Total Environment, Vol. 725; and Dr. Muhammad Farhan Bashir and his colleagues entitled: “Correlation between the climate indicators and the Covid-19 pandemics in New York, USA.” in Science of The Total Environment, Vol. 728. We agree with the results of their research, but there are things that need to be clarified in relation to the selection of the Spearman-rank correlation as an analytical tool, because the selection of this analysis is without the normality test of the data. Spearman-rank correlation is useful for non-normally distributed continuous data; can be used for ordinal data; and is relatively robust for outliers.

scholarly journals Hubungan antara stres dan pola siklus menstruasi pada mahasiswa Kepaniteraan Klinik Madya (co-assistant) di RSUP Prof. Dr. R. D. Kandou Manado

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Kevin C. Tombokan ◽  
Damajanty H.C. Pangemanan ◽  
Joice N.A. Engka
Keyword(s):  
Medical Students ◽  
Menstrual Cycle ◽  
Ordinal Data ◽  
Rank Correlation ◽  
Sampling Technique ◽  
P Value ◽  
Spearman Rank Correlation ◽  
Cross Sectional ◽  
Spearman Rank ◽  
Purposive Sampling

Abstract: Menstruation is one of the aspects of sexual maturity which occurs at the end stage of puberty in a woman. Stress entangles the neuroendocrinological system that might further affect the menstrual cycle pattern. The most common type of stress experienced by students is academical stress. This study was aimed to determine the correlation between stress and menstrual cycle pattern among pre-clinical medical students (co-assistant) at Prof. Dr. R. D. Kandou Hospital Manado. This was an observational analytical study with a cross-sectional design. There were 34 respondents obtained by using purposive sampling technique. Stress degree was assessed by using modified Depression, Anxiety, and Stress Scales 42 (DASS-42) questionnaire meanwhile the menstrual cycle pattern was assessed by using an ordinal-scaled questionnaire. Data were analyzed with the Spearman Rank Correlation test. The correlation between stress and the menstrual cycle pattern showed a p-value = 0.014 and an r = 0.417. Conclusion: There was a moderate significant correlation between stress and menstrual cycle pattern among pre-clinical medical students (co-assistant) ar Prof. Dr. R. D. Kandou Hospital Manado.Keywords: stress, menstrual cycle patterns, co-assistant Abstrak: Menstruasi merupakan salah satu aspek kematangan seksual yang pertama kali terjadi pada masa pubertas seorang wanita. Stres melibatkan sistem neuroendokrinologi sehingga dapat memengaruhi pola siklus menstruasi. Stres yang paling umum dialami oleh mahasiswa ialah stres akademik. Penelitian ini bertujuan untuk mengetahui hubungan antara stres dan pola siklus menstruasi pada mahasiswa Kepaniteraan Klinik Madya (co-assistant) di RSUP Prof. Dr. R. D. Kandou Manado. Jenis penelitian ialah observasional analitik dengan desain potong lintang. Terdapat 34 responden yang diperoleh dengan teknik purposive sampling. Derajat stres dinilai menggunakan kuesioner Depression, Anxiety, and Stress Scales 42 (DASS-42) termodifikasi dan pola siklus menstruasi dinilai dengan kuesioner yang menggunakan skala ordinal. Data penelitian dianalisis dengan uji Spearman Rank Correlation. Hasil uji korelasi antara stres dan pola siklus menstruasi mendapatkan p=0,014 dan r=0,417. Simpulan: Terdapat hubungan moderat yang bermakna antara stres dan pola siklus menstruasi pada mahasiswa Kepaniteraan Klinik Madya (co-assistant) di RSUP Prof. Dr. R. D. Kandou Manado.Kata kunci: stres, pola siklus menstruasi, mahasiswa (co-assistant)

HUBUNGAN BEBAN KERJA PERAWAT DENGAN KELENGKAPAN PENGISIAN DOKUMENTASI ASUHAN KEPERAWATAN

2020 ◽  
Vol 5 (2) ◽  
pp. 588
Author(s):  
Etlida Wati ◽  
Ulva Arini
Keyword(s):  
Nursing Care ◽  
Rank Correlation ◽  
Bivariate Analysis ◽  
Spearman Rank Correlation ◽  
Cross Sectional ◽  
Weight Category ◽  
Spearman Rank ◽  
Hospital Room ◽  
Analysis Technique ◽  
Nurse Workload

<p>Documentation is an activity of recording, reporting or recording an event and activities carried out in the form of providing services that are considered important and valuable. One factor that can influence documentation is the nurse's workload. The purpose of this study is to identify the relationship between nurses' workload and the application of documentation in the Hj. Anna Lasmanah Banjarnegara. This  research is quantitative with a cross sectional approach descriptive correlation design. Samples were taken with a total sampling of 65 nurses. Instruments to measure documentation using observation sheets. While the nurse workload instrument uses a questionnaire sheet. The analysis technique uses Spearman Rank correlation. Based on the research results of the workload of a nurse in the hospital room , most of them are in the weight category, as many as 46 respondents (70.8%). Application of nursing care documentation in the hospital room Hj. Anna Lasmanah Banjarnegara, most of them are respondents in the incomplete category as many as 63 respondents (96.9%). There is a significant relationship between nurse workload with the application of documentation, this is evidenced by the results of the Spearman Rank correlation bivariate analysis, which is r = 0.688 with p = 0.000 &lt;0.05. It is hoped that management will motivate nurses to complete the documentation of nursing care</p>

scholarly journals Does continuity in nursing staff matter? A pilot study on correlation of central line-associated bloodstream infections and employee turnover

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Thomas Scheier ◽  
Stefan P. Kuster ◽  
Mesida Dunic ◽  
Christian Falk ◽  
Hugo Sax ◽  
...  
Keyword(s):  
Nursing Staff ◽  
Employee Turnover ◽  
Rank Correlation ◽  
Bloodstream Infections ◽  
Central Line ◽  
Incidence Rates ◽  
Nursing Personnel ◽  
Care Hospital ◽  
Spearman Rank Correlation ◽  
Spearman Rank

Abstract Background Understaffing has been previously reported as a risk factor for central line-associated bloodstream infections (CLABSI). No previous study addressed the question whether fluctuations in staffing have an impact on CLABSI incidence. We analyzed prospectively collected CLABSI surveillance data and data on employee turnover of health care workers (HCW) to address this research question. Methods In January 2016, a semiautomatic surveillance system for CLABSI was implemented at the University Hospital Zurich, a 940 bed tertiary care hospital in Switzerland. Monthly incidence rates (CLABSI/1000 catheter days) were calculated and correlations with human resources management-derived data on employee turnover of HCWs (defined as number of leaving HCWs per month divided by the number of employed HCWs) investigated. Results Over a period of 24 months, we detected on the hospital level a positive correlation of CLABSI incidence rates and turnover of nursing personnel (Spearman rank correlation, r = 0.467, P = 0.022). In more detailed analyses on the professional training of nursing personnel, a correlation of CLABSI incidence rates and licensed practical nurses (Spearman rank correlation, r = 0.26, P = 0.038) or registered nurses (r = 0.471, P = 0.021) was found. Physician turnover did not correlate with CLABSI incidence (Spearman rank correlation, r =  −0.058, P = 0.787). Conclusions Prospectively determined CLABSI incidence correlated positively with the degree of turnover of nurses overall and nurses with advanced training, but not with the turnover of physicians. Efforts to maintain continuity in nursing staff might be helpful for sustained reduction in CLABSI rates.

scholarly journals In vivo calibration of the T2* cardiovascular magnetic resonance method at 1.5 T for estimation of cardiac iron in a minipig model of transfusional iron overload

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Peter Diedrich Jensen ◽  
Asbjørn Haaning Nielsen ◽  
Carsten Wiberg Simonsen ◽  
Ulrik Thorngren Baandrup ◽  
Svend Eggert Jensen ◽  
...  
Keyword(s):  
Rank Correlation ◽  
Calibration Data ◽  
Iron Loading ◽  
Spearman Rank Correlation ◽  
Calibration Equation ◽  
Spearman Rank ◽  
Cardiac Iron ◽  
In Vivo Calibration ◽  
Spearman Rank Correlation Coefficient

Abstract Background Non-invasive estimation of the cardiac iron concentration (CIC) by T2* cardiovascular magnetic resonance (CMR) has been validated repeatedly and is in widespread clinical use. However, calibration data are limited, and mostly from post-mortem studies. In the present study, we performed an in vivo calibration in a dextran-iron loaded minipig model. Methods R2* (= 1/T2*) was assessed in vivo by 1.5 T CMR in the cardiac septum. Chemical CIC was assessed by inductively coupled plasma-optical emission spectroscopy in endomyocardial catheter biopsies (EMBs) from cardiac septum taken during follow up of 11 minipigs on dextran-iron loading, and also in full-wall biopsies from cardiac septum, taken post-mortem in another 16  minipigs, after completed iron loading. Results A strong correlation could be demonstrated between chemical CIC in 55 EMBs and parallel cardiac T2* (Spearman rank correlation coefficient 0.72, P < 0.001). Regression analysis led to [CIC] = (R2* − 17.16)/41.12 for the calibration equation with CIC in mg/g dry weight and R2* in Hz. An even stronger correlation was found, when chemical CIC was measured by full-wall biopsies from cardiac septum, taken immediately after euthanasia, in connection with the last CMR session after finished iron loading (Spearman rank correlation coefficient 0.95 (P < 0.001). Regression analysis led to the calibration equation [CIC] = (R2* − 17.2)/31.8. Conclusions Calibration of cardiac T2* by EMBs is possible in the minipig model but is less accurate than by full-wall biopsies. Likely explanations are sampling error, variable content of non-iron containing tissue and smaller biopsies, when using catheter biopsies. The results further validate the CMR T2* technique for estimation of cardiac iron in conditions with iron overload and add to the limited calibration data published earlier.

scholarly journals Interactional Justice and Employees’ Commitment to Supervisor in Nigerian Health Sector

2015 ◽  
Vol 2 (5) ◽  
pp. 7-17 ◽  
Author(s):  
Ajogwu Akoh ◽  
Edwinah Amah
Keyword(s):  
Health Sector ◽  
Rank Correlation ◽  
Interactional Justice ◽  
Survey Questionnaire ◽  
Spearman Rank Correlation ◽  
Interpersonal Justice ◽  
Informational Justice ◽  
Spearman Rank ◽  
The Relationship ◽  
Spearman Rank Correlation Coefficient

This research was designed to study the relationship between interactional justice and employees’ commitment to supervisor in Nigerian health sector. A self-administered survey questionnaire was sent out to a sample size of 103 employees, resulting in 99 responses out of which 13 copies of the questionnaire were not statistically usable. The Spearman rank correlation coefficient was used for data analysis, and our findings reveal that employees who have received fair informational and interpersonal treatments commit themselves to their supervisors. We discovered that the degree of influence exerted by interpersonal justice on employees’ commitment to supervisor was stronger than that of informational justice. We concluded that employees attach themselves to supervisors that are fair in communication and relationship. The fairness of interaction and communication boost employees’ confidence, impacting positively on employees’ commitment to supervisor and making employees see themselves as part owners in the organization. We, therefore, recommended that organizational managers or supervisors should communicate and relate properly with employees, in order to satisfy their customers and other stakeholders.

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