| 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.
Link:http://www.sciencedirect.com/science/article/pii/S138994571400241X
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Article 2
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.
Link: https://doi-org.lopes.idm.oclc.org/10.1186/s12913-019-4385-6 |
Article 3
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.
Link:https://doi.org/10.1016/j.ijnurstu.2005.07.002
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| Point | Description | Description | Description |
| 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. Nominal data. |
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.
Ordinal Data |
| 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.
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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.
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For this study, a multi-stage cluster random sample method was integrated.
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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)
Cases: 10.07(1.58) 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: Total: 1020 |
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
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| 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: Scale: 0-100 0.84 in terms of dependability |
References
Bliwise, D. L., Zhang, R. H., & Kutner, N. G. (2014). Medications associated with restless legs syndrome: a case–control study in the US Renal Data System (USRDS),. Sleep Medicine, 1241-1245. Retrieved from http://www.sciencedirect.com/science/article/pii/S138994571400241X
Mohammed Nazim, U., Sunil, B., & Fakir, M. A. (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, 1-11. Retrieved from https://doi-org.lopes.idm.oclc.org/10.1186/s12913-019-4385-6
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, 465-476. Retrieved from: https://doi.org/10.1016/j.ijnurstu.2005.07.002