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-Great explanation. What do you think, would be some strategies in achieving the desired population or sample analysis? Thanks.
A researchable population is a critical element in conducting any investigative study; it entails to the people and objects that are isolated, taken into account, and focused upon for scientific data collection (Ritchie, Lewis, Nicholls, & Ormston, 2013). However, due to large masses of a population, the investigator cannot test all people because of the expenses and time consumed. Hence there is the use of the sampling technique. Such a sampling technique often has similar traits or characteristics. There are two types of researchable populations used in a study which are; target population and accessible population.
The most suitable research populace would be the accessible population. Accessible population is the part of the mass in which the investigator has reasonable and full access and can apply their conclusions. It is a subset of the target method, which refers to a researcher taking an entire scale of people to generalize and draw conclusions.
There are several challenges experienced in sampling in a population. The common problem is that researcher mainly focuses on the high-frequency values and patterns and end up not considering the lower level. Such ignorance makes the researcher miss out on blocks of data. Additionally, investigators assume that concepts are uniformly similar and distributed all over the population and over a specified periodime (“challenges in sampling,” 2019).
The most appropriate researchable population for use within my research project would be of patients seeking health care options who are facing a number of debilitating illnesses and diseases some of which require a great deal of care that involve the use of “minimally invasive procedures like minithoracotomy and small port access and the continuing use of newer measures like percutaneous methods to address valvular heart disease” (Rosengart, 2008) Some of the existential challenges in obtaining a sample from this population includes some of the rudimentary and basic facts like they are not all going to be congregated in one particular area unless there is a hospital that deals with specialized care for these individuals that need this type of health care as an option. Additionally gathering data that is representative of this population may be also difficult due to privacy restrictions that govern health care and healthcare administration. Some participants may ultimately refuse to partake or play a role in the process as they may be of the belief that there rights to privacy are being violated. Moreover research will also need to be conducted and gathered on the health care group facing these occupationals risks and this may be hard to gather because the information and data required may be dated like the information conducted in an Iowa community college by Doebbeling et al (2003).
Doebbeling, B. N., Vaughn, T. E., McCoy, K. D., Beekmann, S. E., Woolson, R. F., Ferguson, K. J., & Torner, J. C. (2003). Percutaneous injury, blood exposure, and adherence to standard precautions: are hospital-based health care providers still at risk?. Clinical Infectious Diseases, 37(8), 1006-1013.
The most researchable population for this case included admitted patient from different age groups. Also, nurse actively working in healthcare organization both with partial and full implementation of EHRs. These patients were to report about their experience with EHRs if any or not during their time of admission in a healthcare setting (Boonstra, Versluis, & Vos, 2014). On the other hand, nurses would give their feedback based on their experience of working with EHRs.
The respondents selected were based on various factors and variables, such as their age, marital status, and age. Marital status was relevant since it determines the departments or sections that these patients visit within a medical facility. In hospitals there are departments that only deal with family-related issues; for example, giving birth. The age of patients is relevant in that some diseases are prevalent among certain age groups and this means that the rate of admission to hospital will vary depending on the prevalence of a certain disease to a certain age group. The state of residence also shows variations in regards to disease prevalence that increases the chance of some patients’ experiences with EHRs after admission. The significance of these variables in selecting researchable patients influence the healthcare centers they will visit and prevalence of diseases that increase the probability of admission to various hospitals.
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