|Article Citation and Permalink (APA format)||Article 1|
Bliwise, D. L., Zhang, R. H., & Kutner, N. G. (2014). Medications associated with restless legs syndrome (RLSs): a case–control study in the US Renal Data System (USRDS). Sleep Medicine, 15(10), 1241–1245.
Mohammed Nazim Uddin, Sunil Bhar, & Fakir M Amirul Islam. (2019). An assessment of awareness of mental health conditions and its association with socio-demographic characteristics: a cross-sectional study in a rural district in Bangladesh. BMC Health Services Research, (1), 1.
Schofield, I., Knussen, C., & Tolson, D. (2006). A mixed method study to compare use and experience of hospital care and a nurse-led acute respiratory assessment service offering home care to people with an acute exacerbation of Chronic Obstructive Pulmonary Disease. International Journal of Nursing Studies, 43(4), 465– 476.
|Broad Topic Area/Title||To explore the relationship between use four types of ‘at-risk’ prescriptions (mood stabilizers, neuroleptics, decongestants, and anticholinergics with dopamine blockade) and restless legs syndrome (RLS) in patients undergoing dialysis.||A cross-sectional research in a countryside region of Bangladesh to evaluate psychological health situations and its connection with sociodemographic factors.||A study comparing the use and hospitalization healthcare and a healthcare professional acute respirational appraisal services providing home-based treatment to individuals ailing from a COPD exacerbation.|
|Identify Independent and Dependent Variables and Type of Data for the Variables||Independent variable: four cases of at-risk medication and restless leg syndrome.|
Dependent variable: restless leg syndrome among dialysis patients.
|The study’s independent variable is age, which ranges from 18 to 90 years, and the dependent variable is understanding of mental health conditions. Variable data is ordinal data (0-5).||The independent variables are hospital and home care, while the dependent variables are patients’ understanding and experiences with care options, as well as their future care preferences.|
|Population of Interest for the Study||End-stage renal disease individuals are recorded in the United States Renal Data Systems at any time. (From 1st October 2006 to 31st December 2010.||Adults between the ages of 18 and 90 who live in the Narail region, approximately 200 kilometers southwest of Dhaka.|
|COPD patients receiving medical treatment through the Acute Respiratory Assessment Service and individuals admitted to a medical facility with a severe COPD exacerbation.|
|Sample||For this study, a medical data sheet of 16,165 End-Stage Renal Dialysis (ESRD) patients was used.||2425 Participants that includes 1249 female and 1176 males||104 Patients comprising of 76 females and 28 male|
|Sampling Method||Patients were chosen using the Convenience sampling method.|
|For this study, a multi-stage cluster random sample method was integrated.|
|Patients were chosen using a method known as purposive sampling.|
|Descriptive Statistics (Mean, Median, Mode; Standard Deviation)|
Identify examples of descriptive statistics in the article.
|Age of cases and controls: Mean: 61.4 SD: 14.9|
Hemoglobin(g/dl), mean (SD):
Cases: 10.07(1.58) Controls: 9.95 (1.630)
Controls: 9.95 (1.630)
|Adult and elderly sociodemographic characteristics in Bangladesh’s Narail district:|
Total age in mean (Standard deviation):
Mean: 52 Standard deviation (SD):17.0
Awareness levels of psychological disorder (MHCs) n (%) Awareness of any MHCs: total- 1030 (42.5%)
Information regarding MHCs symptoms:
|Participant Age: Mean (SD)|
Mean of 68, SD 7.98
Respondents ailing from lung disorder for between 1 and 76 years:
Mean of 16, SD 16.24
Forms of care experienced by participants n (%):
ARAS home-care: 75
Hospital and ARSA: 48 Descriptive statistics for the Seattle Obstructive Lung Disease Survey Mean (SD):
Physically disabled participants: 14.6
|Inferential Statistics |
Identify examples of inferential statistics in the article.
|The findings suggest that individuals undergoing dialysis are expected to have been recommended the prescription drugs researched, such as antidepressants, neuroleptics, antihistamines, and some antiemetics.||42.5 percent of the population is aware of any common MHCs, p<0.001. In general, more than half of the participants were unaware of any MHCs, 3.3 percent were knowledgeable of bipolar disorder, 42% were aware of drug addiction, and less than 1% were aware of all MHCs.||The majority of respondents would rather have home treatments than hospital treatments:|
t (92) =2.78, p0.01).
Satisfaction with the level of care:
0.84 in terms of dependability