Using Quantitative Design in Healthcare Research Paper
Using Quantitative Design in Healthcare Research Paper
1)Search the Grand Canyon University library and find three different healthcare articles that use quanitative research. All three articles should be on the same topic. 2) complete the article analysis one each using the article analysis template 3) Solid academic writing is expected and documentation of sources should be presented using APA formatting guidelines. 4) choose a topic and find three different articles on the subject to evaluate it 5) at the top of your analysis, state your topic 6)These three articles need to have quanitative data present and must be stated in your analysis what the statistical results 7) Make sure your articles are from credible sources of publication 8)State demographic information in the sample description. Using Quantitative Design in Healthcare Research Paper. State statistics in the results section p values, %s, or confidence intervals. Will upload an article analysis template.
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| Article Citation and Permalink (APA format) | Article 1
Marcikić, A., Pejanović, R., Sedlak, O., Radovanov, B., & Ćirić, Z. (2017). Quantitative analysis of the demand for healthcare services. Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, 21(80), 55-66. Link: http://management.fon.bg.ac.rs/index.php/mng/article/view/30
|
Article 2
Metzger LM. Are Patients Satisfied with Telehealth in Home Health Care? A Quantitative Research Study in Congestive Heart Failure Patients. SM Gerontol Geriatr Res. 2017; 1(2): 1009. |
Article 3
Wade, V., Barnett, A. G., Martin-Khan, M., & Russell, T. (2017). Designing quantitative telemedicine research. Journal of telemedicine and telecare, 23(9), 786-791.
Link: https://journals.sagepub.com/doi/full/10.1177/1357633X16671240 |
| Point | Description | Description | Description |
| Broad Topic Area/Title | Quantitative analysis of the demand for healthcare services. | The study was to find out more to the patients satisfaction with telehealth health in home healthcare. | Designing quantitative telemedicine research. |
| Identify Independent and Dependent Variables and Type of Data for the Variables | The variables utilized in the analysis comprise the sum of daily outpatient trips. Occupancy time was also used across the period of three years. Using Quantitative Design in Healthcare Research Paper. | The dependent variable, total patient satisfaction score, was determined for the UHH group (n = 53), as 54.96 (sd = 5.2) and the TELE group (n = 33), as 56. 94 (sd = 3.8). | Non-inferiority, correlation and variance are the factors used. The p-value, which is 0.05, is chosen
|
| Population of Interest for the Study | The population consisted of people of Serbia and Subotica. | Population was patients with heart failure receiving home health care | In the population survey, the parameters of exclusion and inclusion were included. Individuals of debilitating illnesses such as obesity, respiratory diseases and tumors have been used. It also covers neurological disability, chronic psychiatric illnesses, vulnerable old persons and extreme poverty. |
| Sample | The least amount of the daily treatments was 13 and the maximum amount was 54. The effects were determined by the number of trips a day that the ambulance did make. | Adult client aged 18 or older with a confirmed diagnosis of (congestive) heart failure as the primary, secondary or tertiary diagnosis receiving home health care by a Medicare-certified home health agency.
Home environment supportive of telehealth equipment, that being electricity and operating telephone land line |
The study involved clients of age 18 and over and consisted of 22 individuals |
| Sampling Method | Multiple regression analysis and correlation analysis is the sampling method employed in this study. | Quasi-experimental research design | A singular, randomized, as well as controlled non-inferiority evaluation was conducted prospectively. |
| Descriptive Statistics (Mean, Median, Mode; Standard Deviation)
Identify examples of descriptive statistics in the article. |
6.63 was the standard deviation value achieved.
The value of the coefficient variation was 22.14. The overall percentage of interventions carried out was 30%.
|
The mean was 54 percent Mode: 36. 2 Standard deviation: 21.10 |
There is a difference of <1 in 20
The Margin of Inferiority is 1.4
The mean value was 50 percent
Static Power is 89 percent |
| Inferential Statistics
Identify examples of inferential statistics in the article. |
During the weekends, requests for emergency care services were many relative to the weekdays. During the night, requests for medical services were increased. | An example of inferential statistics include ORAHS development as a strategy for OR in health and the papers provided at home health care over the years of its existence are evaluated. |
Absolute statistical approach mean deviations, p-values and confidence intervals are examples of inferential statistics |
Article Analysis 1
| Article Citation and Permalink (APA format) | Article 1
Marcikić, A., Pejanović, R., Sedlak, O., Radovanov, B., & Ćirić, Z. (2017). Using Quantitative Design in Healthcare Research Paper. Quantitative analysis of the demand for healthcare services. Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, 21(80), 55-66. Link: http://management.fon.bg.ac.rs/index.php/mng/article/view/30
|
Article 2
Romero-Conrado, A. R., Castro-Bolaño, L. J., Montoya-Torres, J. R., & Jiménez-Barros, M. Á. (2017). Operations research as a decision-making tool in the health sector: A state of the art. Dyna, 84(201), 129-137.
Link: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532017000200129 |
Article 3
Wade, V., Barnett, A. G., Martin-Khan, M., & Russell, T. (2017). Designing quantitative telemedicine research. Journal of telemedicine and telecare, 23(9), 786-791.
Link: https://journals.sagepub.com/doi/full/10.1177/1357633X16671240 |
| Point | Description | Description | Description |
| Broad Topic Area/Title | Quantitative analysis of the demand for healthcare services. | Operations research as a decision-making tool in the health sector: A state of the art. | Designing quantitative telemedicine research. |
| Identify Independent and Dependent Variables and Type of Data for the Variables | The variables utilized in the analysis comprise the sum of daily outpatient trips. Occupancy time was also used across the period of three years. | The inclusive determination variable, optimal variable, scale factors, basic and non-basic parameters are among the variables used. The data used included empirical data, derivative data, data from simulations and data from experiments. | Non-inferiority, correlation and variance are the factors used. The p-value, which is 0.05, is chosen
|
| Population of Interest for the Study | The population consisted of people of Serbia and Subotica. | The Working European-European Association of Operational Research Organizations was the focus population. | In the population survey, the parameters of exclusion and inclusion were included. Individuals of debilitating illnesses such as obesity, respiratory diseases and tumors have been used. It also covers neurological disability, chronic psychiatric illnesses, vulnerable old persons and extreme poverty. |
| Sample | The least amount of the daily treatments was 13 and the maximum amount was 54. The effects were determined by the number of trips a day that the ambulance did make. | It used a sample of 50 participants. The members were all 30 years and higher. | The study involved clients of age 18 and over and consisted of 22 individuals |
| Sampling Method | Multiple regression analysis and correlation analysis is the sampling method employed in this study. | For this study, a two-way system was employed There are the nine phases of life cycle and the identification of the tree level. | A singular, randomized, as well as controlled non-inferiority evaluation was conducted prospectively. |
| Descriptive Statistics (Mean, Median, Mode; Standard Deviation)
Identify examples of descriptive statistics in the article. |
6.63 was the standard deviation value achieved.
The value of the coefficient variation was 22.14. The overall percentage of interventions carried out was 30%.
|
The mean was 57 percent Mode: 40. 2 Standard deviation: 24.10 |
There is a difference of <1 in 20
The Margin of Inferiority is 1.4
The mean value was 50 percent
Static Power is 89 percent |
| Inferential Statistics
Identify examples of inferential statistics in the article. |
During the weekends, requests for emergency care services were many relative to the weekdays. During the night, requests for medical services were increased. Using Quantitative Design in Healthcare Research Paper. | An example of inferential statistics include ORAHS development as a strategy for OR in health and the papers provided at workshops over the 35 years of its existence are evaluated. |
Absolute statistical approach mean deviations, p-values and confidence intervals are examples of inferential statistics |
References
Marcikić, A., Pejanović, R., Sedlak, O., Radovanov, B., & Ćirić, Z. (2017). Quantitative analysis of the demand for healthcare services. Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, 21(80), 55-66.
Romero-Conrado, A. R., Castro-Bolaño, L. J., Montoya-Torres, J. R., & Jiménez-Barros, M. Á. (2017). Operations research as a decision-making tool in the health sector: A state of the art. Dyna, 84(201), 129-137.
Wade, V., Barnett, A. G., Martin-Khan, M., & Russell, T. (2017). Designing quantitative telemedicine research. Journal of telemedicine and telecare, 23(9), 786-791. Using Quantitative Design in Healthcare Research Paper.
Article Analysis 1
| Article Citation and Permalink (APA format) | Article 1 | Article 2 | Article 3 |
| Point | Description | Description | Description |
| Broad Topic Area/Title | |||
| Identify Independent and Dependent Variables and Type of Data for the Variables | |||
| Population of Interest for the Study | |||
| Sample | |||
| Sampling Method | |||
| Descriptive Statistics (Mean, Median, Mode; Standard Deviation)
Identify examples of descriptive statistics in the article. |
|||
| Inferential Statistics
Identify examples of inferential statistics in the article. |
Using Quantitative Design in Healthcare Research Paper
