Inadequate Data Registry: A Challenge to Quality Healthcare Delivery - Essay Sample

Introduction

Within the current healthcare organization, there is inadequate data registry for the patients' healthcare information, thus rendering it hard to deliver quality healthcare. As such, the nurses and other medical professionals have compelled to device their mechanisms of storying the patients' data such as spreadsheet-which in most cases are inefficient and unreliable. Thus, the lack of adequate data storage mechanism makes it difficult to trace the medial performance and status of various patients. Therefore, there is a need to develop various methods in which the patients' information could be appropriately stored for quality healthcare service delivery within the healthcare organization.

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Evidence-Based Idea for a Change in Practice

The main objective is to examine whether the implementation of the healthcare data registry would have a significant impact with regards to the quality of healthcare services provided to various patients. Any change project requires proper communication to ensure that problems are resolved on a timely basis. Poor communication is an obstacle to the successful implementation of the change project. The nurses would play a key role in demonstrating the influence of appropriate data registry on the overall healthcare outcome.

Lack of skills in monitoring and evaluation may be a severe obstacle in the change process initiated through data registry education (Robertson & Gan, 2001). Nurses are trained health professionals, but they are not trained in data evaluation and analysis, which can only be done by an expert in project management (Karasu et al., 2019). Lack of a skilled nurse in monitoring and evaluation may also be an obstacle since the change process may not be actively evaluated and monitored (Murphy et al., 2015).

Plan for Knowledge Transfer of the Change

For successful implementation of the change, it would be necessary and evident for the nurse providing education to have an extra colleague who would help in identifying the factors used in evaluating change, including the number of patients who visit the health care facility per day (Widman et al., 2018).

The extra colleague will help the colleague nurse provide education by collecting relevant data as training continues. For example, it would be necessary to capture the data on how many people attend the education session. An analysis of each day would be carried out throughout the weeks. Analysis of the data collected can help in the successful implementation of the change project (Karasu et al., 2019).

Measurable Outcomes to Be Achieved With the Implementationimplementation

The primary project outcome is the expected increase in the quality and effectiveness of healthcare service provision in terms of the number of patients who are attended to each day through the adoption of patients' registry within the healthcare organization. The practice is also aimed at determining whether keeping a proper registry of the patients' records has a positive correlation with improved quality and effectiveness of health care service delivery (Eltoum & Roberson, 2007). The secondary goal of the project is to increase the level of skills of the nurses concerning appropriate record keeping of the patients' information.

Lessons Learned

Summary of the Critical Appraisal of the Peer-Reviewed Articles

Registry data contains information supporting clinical practice and research, which ensures that participants or patients get the best possible care. The best practice entails numerous standardized aspects that comprehensively provide crucial information concerning disease trends, risk factors, treatment outcomes, the effectiveness of interventions, patterns of care, and functional abilities, among others. An evaluation of clinical research or practice against a setoff standard rules helps in the categorization of research protocols. This section of the paper utilizes the evaluation appraisal table to determine the best research practice from the four articles analyzed.

While all the reviewed articles were satisfactory according to the evaluation in the appraisal table above, one stands out. Al-Jundi and Sakka (2017) have provided comprehensive criteria on how to ascertain the best clinical research practice. The article done by Godefay et al. (2015) comes out as the suggested best research practice because of particular aspects. The authors conducted an experiment and not only relying on the existing evidence like the rest of the articles. The design used was relevant and suitable, taking many participants from random selections; this suggests increased accuracy than the rest of the articles (Scoglio & Fichera, 2014). The article also provides recommendations for practice.

The most effective practice utilizes well-controlled clinical trials involving experiment and control groups (Maswime & Buchmann, 2017). Among the four articles evaluated, the article by Godefay et al. (2015) is the only one that makes use of the most significant control groups in which there is also the division into treatment groups. The high amount of participants used ensures there is minimal bias and gives comparability of groups. Adequate measures are also used throughout the research design and protocols to provide reduced biases.

Lessons Learned From Completing the Evaluation Table

The evaluation table offers the best more relevance to the context of maternal health outcomes. The results given are more comprehensive and practical hence more informative to the clinical discipline. It utilizes a controlled study using the most significant number of participants from randomly selected regions and also uses relevant protocols to minimize biases. Thus, the chosen article best provides clinical information concerning maternal mortality rates in Ethiopia, disease patterns, and the impacts of interventions that can be of great help in the field of medical practice.

References

Maswime, S., & Buchmann, E. (2017). A systematic review of maternal near-miss and mortality due to postpartum hemorrhage. Int J Gynaecol Obstet, 137(1), 1-7.

Robertson, K., & Gan, T. (2001). Clinical research and good clinical practice. Best Practice & Research Clinical Anaesthesiology, 15(4), 655-667. https://doi.org/10.1053/bean.2001.0197

Rulisa, S., Umuziranenge, I., Small, M., & van Roosmalen, J. (2015). Maternal near miss and mortality in a tertiary care hospital in Rwanda. BMC pregnancy and childbirth, 15(1), 203.

Scoglio, D., & Fichera, A. (2014). Establishing a Successful Clinical Research Program. Clinics In Colon And Rectal Surgery, 27(02), 065-070. https://doi.org/10.1055/s-0034-1376171