Method of Determining the Quality of Healthcare Services

As a method of determining the quality of services offered by the institution, it is paramount to gain insight into the nurse-sensitive quality indicators. Sarah Burston, Wendy, and Brigid (2014) mention the structural, process and the outcome indicators as the leading indicators required to quantify the quality of healthcare offered by a health organization. In the case of Mountain States Healthcare Alliance, we learn that the organization provided a healing environment which gave comfort and peace. As a way of improving the process of healing, the organization ensured that the process of sharing data among all the stakeholders was effective to enhance the decision-making process. MSHA also recognized the importance of a healthcare process. For this reason, they integrated the essential support of family members and friends into their services.

The Reporting Tools Used for the Quality Indicators.

The quality of every healthcare service depends on the quality of data and how it the data is interpreted. The quality of data transfers importance to the tools used to collect the data needed to be used to determine the authenticity of quality indicators available. Rocco and Sandy (2011) describe the run chart as one of the tools that can be effectively used to deal with the challenge that modern researchers face in learning about data. As one of the analytical tools, the run chart can be used to track any changes in a medical field. Constructions simulating the hospital model are created, and a series of mathematical complexities are generated. An aggregate summary of the mathematical expressions is obtained. Henceforth, it is the duty of the practitioners and decision makers to come up with the best method that the obtained results can be integrated into their system.

Planned experimentation can as well be used as one of the tools of gaining more insight into the quality indicators. As pointed out by Rocco and Sandy (2011), the use of run charts forms the basis for more sophisticated analysis like the planned experimentation. Planned experimentation offers a deeper analysis of quality indicators. With deeper knowledge gained from this tool, practitioners can reach a broad agreement on the improvements that should be made about the facility. The tools as mentioned above are far much effective in analyzing and giving larger scales of value attached to the collected data.

How Bedside Nurse is Part of the Quality Model.

Jack Needleman (2011) in his journal mentions the importance of increasing the number of nurses in a healthcare facility. The sole reason for such increments is to improve patient safety. A healthcare quality model is one where patients are assured of their safety during the time at the facility. To improve on patient safety, MSHA has visibly made patient safety as one of its top priorities. For example, the organization engages the services of bedside nurses. Bedside nurses complement the quality model in the sense that they help reduce hospital-acquired conditions like bed falls and trauma. The quality model also demands the need for patient supervision. For this reason, bedside nurses come in handy to ensure patients condition is continuously monitored, and a report is made of the same.

The Mission, Vision, and Value Statement of the Organization and how it Relates to the Quality Plan.

MSHA mission states that the organization is committed to offering loving care and healthcare to the community and assisting every individual into achieving the best levels of health. They also envision to passionately strive to provide healing to the mind, body and the spirit as well as creating a world-class healthcare system. Their operation is guided by the values of integrity, service, leadership, and excellence. In as much as Jiajie Zhang (2013) mentions the use of electronics to improve the healthcare services, I believe the mission, vision, and the values of an organization also play a crucial role in the achievement of this goal. MSHA insist on the mission, vision, and values as its core operation principles because they go hand in hand with the characteristics of a quality model healthcare organization.

How do Nursing Models of Care Affect Quality?

Nursing models are principal to the delivery of quality healthcare services. As earlier determined, the adequacy of nurse staff determines the quality of healthcare services that is provided either in hospitals or homes. One of the reasons why nurses are very crucial to quality delivery is because they are charged with the responsibility of carrying outpatient evaluation. Patient evaluation is necessary as it enables nursed to collect data and information that would help theme come up with the right prescription. Nursing models are also charged with the responsibility of carrying outpatient supervision and patient support. For these three reasons, it is extremely hard to play down the role that nursing models play in quality delivery. Because of the critical role they play, it is, therefore, mandatory to ensure that the nurses are well paid. Their working conditions should also be improved. These are the factors which determine the artistry and quality delivery by nurses.

References

Needleman, J., Buerhaus, P., Pankratz, V. S., Leibson, C. L., Stevens, S. R., & Harris, M. (2011). Nurse staffing and inpatient hospital mortality. New England Journal of Medicine, 364(11), 1037-1045.

Burston, S., Chaboyer, W., & Gillespie, B. (2014). Nursesensitive indicators suitable to reflect nursing care quality: a review and discussion of issues. Journal of clinical nursing, 23(13-14), 1785-1795.

Perla, R. J., Provost, L. P., & Murray, S. K. (2011). The run chart: a simple analytical tool for learning from variation in healthcare processes. BMJ Quality & Safety, 20(1), 46-51.

Middleton, B., Bloomrosen, M., Dente, M. A., Hashmat, B., Koppel, R., Overhage, J. M., ... & Zhang, J. (2013). Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA. Journal of the American Medical Informatics Association, 20(e1), e2-e8.