Exploring the Strategies of Glickman et al.: Research Paper

Introduction

A similar approach to discussing the article by Glickman et al. will be adopted for this paper. The development and strategies that have been keenly undertaken by the authors will be discussed in detail, as well as the relevance of every analysis and concluded in the paper. At the end of the article, a well-drafted summary of what the paper is about will be brought forward. From the review, a discussion of the critical methods, the main results, an overview of the author's argument, and the interpretation of the main results will be keen studies and presented.

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Background and Need of Study

The paper brings to light the different instances of healthcare need and the problem of hospital readmission. A careful literature review has been carried out to come up with different research papers. From the research materials gained from these sources, it has been noted that 17.4 billion has been spent on hospital readmissions that are done before the end of thirty days. Basing the argument on this information, it is pointed out that a lot of money is spent in ensuring that people get quality healthcare even if it means readmissions.

Also, from the figure, we find out that the amount of savings that can be made from the improvement of healthcare to prevent readmissions can be substantial.

At the same time, the health care sector may need to reduce the number of people coming in and going out of the hospital and use the savings that have been gained from the reduction of readmissions. The literature review also covers the patient's experience in-hospital care and gives a summary of the responses. In summary, the sampled population provides their account on health care based on intuition without much consideration as to whether they possess the right clinical knowledge to judge the quality of healthcare in the hospital. These, as well as other in-hospital, socio-psychological factors, contribute to the high rates of readmission, which necessitated the research.

The background information about the quality of health care and the critical study of the hospitals' database represented by the Hospital Care Quality Information from the Consumer Perspective (HCAHPS), which captures the patient's remarks. Information from this database does not capture whether the responses by the clients are eligible to tell whether the quality of healthcare is good or bad. These attributes by patients have not been keenly analyzed hence the need to pursue the study on various sampled hospitals to find out whether customer satisfaction contributes to higher or lower levels readmissions.

Further, the study will bring out the credulity as to whether patients' remarks should be taken into consideration. In this case, the quest to find out the true nature of the responses that are influenced by the interactions and hospital experiences may contribute to the patient's overall healthcare, thereby reducing the levels of readmission. Once the data has been collected from th sampled hospitals, the results will be interpreted and the conclusion as to whether th contribution of hospital experiences can reduce readmissions.

This will be a great deal to improve customer satisfaction improvements in the healthcare industry. The background has also moved forward to inform the audience on the move to enhance the patient feedback records that will assist in the determination of the readmission.

The 30-day period has also been well explained, such that various hospital factors and experiences may have caused immediate readmission. In suitable hospital environments, the patients may experience great care, which influences their recovery in the short period hence the quick discharging. This may cause the misunderstanding of recovery with jovial moods. In other cases, poor hospital conditions may cause a patient to fake their recovery to move away from the hospital environment. These adverse experiences may stimulate their immediate readmission in less than 30 days.

The study, in this case, may require funding as the hospitals with high patient readmissions have been duly identified. In the study, the hospitals that have been identified may have high readmissions in the sections of heart failure and pneumonia. These cases need to be critically analyzed since their 30-day readmissions are high compared to other readmission cases. In any case, the sampled healthcare centers need to develop a customer feedback system where researchers may find the required information with ease.

The background has also gone a step ahead to provide the expected results from the study. It is important to note that the study will provide a comprehensive overview of the relationship between customer relations and the improvement of healthcare. This will be done from a statistical point of view. This means that the result will be credible since these are events from the past, which may influence those of the future. The results, therefore, provide a basis for the changes in the narrative in the health environment.

Problem Statement

Healthcare concerns have been for a long time been in the interest of human beings. The need to develop better ways of having treatment once people are ill has led human beings to be creative and efficient. Over the years, the credibility and guaranteed cure involved with procedures have increased tremendously. The ability to be discharged from the hospital and not come back due to the recurrence of the health hazard provides confidence to the methods used in treatment. Since the recurrence of the health problems have been rampant, the need to come up with means of identification of the possible causes of readmissions have been formulated.

Once patients have been readmitted, it is essential to note that the government, as well as insurance companies, spend a lot of money in the treatment of these readmitted patients. The financial problem brought forward by the readmission is enough to cause for the study to be maintained. This aside, the knowledge of the treatments of chronic diseases as well as how they affect the readmission rates may only be found out in the pursuit of this research. Chronic illnesses produce a massive influence margin on the cases of the readmission. The problem of chronic diseases and their influence on readmission is also recognized.

Other problems that may be included in the study involve the purchasing and renewal of health insurance. Most citizens of the world afford cheap health insurance that enables them to get healthcare. The increased readmissions may cause insurance companies to fall out in the catering for the health needs of the affected persons. This is due to the high rates involved in the treatment of chronic illness, especially when the patient is admitted. This leads to the bankruptcy of families due to high medical bills that need to be met. The major problem statement may, therefore, be concluded as being the impact of patient satisfaction with inpatient care on hospital readmissions.

Research Questions and Hypothesis

The research questions, in this case, involve the ability to document the data from the database mentioned above as well as the data that will be collected from the various statistical data collection techniques. The questions can be formulated as follows:

• Do the patients ever 'sense' that from the hospital interactions they could be receiving inadequate health care?
• Does the universal hospital database capture the medical data from the customer? If so, does this data assist in preventing 30-day readmissions.
• Does patient data assist in the prevention of 30-day readmissions?
• How does patient feedback data assist in the improvement of healthcare?
• What is the degree of patient data recording that has been generated from the database? What does it capture?

The answers to these research questions provide an in-depth insight in the direction the paper will take. Not only do these questions offer guidance, they offer assistance to ensure that the researcher says, on course, during the research exercise.

The formulated hypothesis of the report may be that the high rates of readmission are closely linked with hospital interactions and environments. Also, the increased rates of readmission are gained from the increased levels of chronic illnesses such as cancer and hepatitis or pneumonia. Determination to answer these questions and develop supporting research statements for the hypothesis will be fueled by how well the data collection and analysis methods have been employed. The discussion will be anticipated to generate answers to these research questions. Other questions may also be formulated in line with the research topic since the research is developmental and may be shifted to accommodate support ideas.

Research Methods and Design

The research methods adopted involved three scopes in the study. The first being the study of the population followed by the definition of data then the statistical analysis of the data. This approach was selected since it was most appropriate to suit the study since various hospital data had to be collected and sampled. The data also involved large sums of grouped data whereby the data could only be selected according to their relationship to the subject matter. In any case, the statistical analysis of data must allow for the collection and sampling of various groups of data, and the methods chosen should be flexible enough to accommodate the nature of the data.

In the study of the population, more than 4,00 hospitals that reported a 30-day readmission tendency had been sampled. The other 4,400 hospitals had implemented data collection methods that involved patient care and the influence of the interactions and experiences towards readmission. More than 6,00 hospitals had registered with the American association database. Provide a narrower scope of the extensive data acquired; it was essential to provide a filtering characteristic.

The chosen characteristic was the three diseases and conditions, namely acute myocardial infarction, heart failure, and pneumonia. With this selection and filtration criteria, the search further narrowed to the hospitals that had complete information about the readmission dates and clinical performance measures and patient satisfaction scores. The number achieved was slightly higher than 2,500 hospitals that met the criteria in the three health conditions selected.

The various measure of dispersion and central tendencies, such as the mean and the standard deviation was calculated for each of the three diseases. These measures assist in the development of a normal curve. The behavior of samples that have been cross-referenced by the normal curve assists in discretizing the data in case the data was random. The normal curve describes the behavior of data and may even be used to develop control limits.

Data definition follows that which is developed from the study of the population. The qualit...