Question

Discuss the need for quantitative research in the healthcare service field. Provide an example of a re-searchable question that will be investigated with quantitative research. Explain which research methods and designs can be applied to the chosen question research. What challenges and biases may impact the study results?

Answer 1

Need of Quantitative Research in Healthcare Services

The healthcare servicers uses various research methods to find ways to improve customers satisfaction, health professional’s work life, patient illness prevention, and facility safety. One of the research methods hospitals use is quantitative research. Quantitative research provides statistical, mathematical, or numerical results. Few ways quantitative research helps healthcare facilities improve services .

Conducting studies in health care setting

Through quantitative research for patient surveys, doctors can find more about their patient and how satisfied they are with the service. This can be possible through the surveys.

• Patient satisfaction surveys
• Market studies
• Pain and discomfort surveys

With the collected information, health care professionals can find what their customers want and how they can improve.

Learning more about illnesses

Physicians want to learn as much as they can about a person’s illness, and contributing factors, while conducting the research.

Improving healthcare facilities

Research studies can find out the need for health care services, and facilities in order to provide good quality services.

Interviewing healthcare professionals

Health professionals can be interviewed to learn general practices with respect to patient information needs. This can be used to develop helpful materials that will be shared with patients and then quantitatively tested.

Examples of quantitative data in health care settings :The number of people suffering from diabetes in a community setting.

Methods that can be used in this example for quantitative research are;

• Sample collection for blood sugar monitoring
• Screening of general population
• Interviews
• Oral history collection about the predisposing factors

Bias or challenges that may impact the result of the research:

• Size of the sample
• Varying results while checking blood sugar levels.
• Inaccuracy of the collected data