FASStR: a framework for ensuring high-quality operational metrics in health care

Provider adherence to American Diabetes Association cardiovascular risk-reduction guidelines: An integrative review

BACKGROUND

Diabetes mellitus (DM) requires comprehensive management to prevent end organ disease. Type 2 diabetes Mellitus (T2DM) effects more than 33.3 million individuals in the United States, the majority managed by primary care providers (PCPs). Type 2 diabetes Mellitus increases lifetime heart attack and stroke risk by 2-4 times. Adherence to the American Diabetes Association (ADA) cardiovascular disease reduction guidelines is associated with decreased morbidity and mortality.

PURPOSE

This integrative review highlights PCP adherence to ADA cardiovascular risk-reduction guidelines and explores interventions that address adherence.

METHODOLOGY

The integrative review approach demanded critical examination of the literature following extraction of findings obtained through a rigorous process involving clear inclusion and exclusion criteria. A comprehensive literature search was guided through Johns Hopkins Nursing Evidence-Based Practice Model. Data extraction was documented through Preferred Reporting Items for Systematic Reviews and Meta-Analysis.

RESULTS

Five articles met inclusion criteria. Articles ranged from 2017 to 2022 and occurred in the United States, Palestine, and one across Europe. Four areas of common content were identified and included the lack of adherence to statin prescribing, lack of adherence to blood pressure management, statin prescribing favoring male patients and those with existing atherosclerotic cardiovascular disease diagnoses, and varying methods to improve adherence.

CONCLUSIONS

Quality-improvement strategies focused on the improvement of PCP adherence to ADA cardiovascular risk-reduction guidelines are necessary.

IMPLICATIONS

Improved adherence would significantly improve morbidity and mortality outcomes in T2DM. Adherence interventions include education, electronic health record integration, and oversight by certified diabetes educator nurses. The time is now to reduce the negative sequelae from a disease that effects 11.3% of our population.

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review

This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various applications and solution approaches in healthcare systems. For this purpose, more than 150 scientific papers are critically reviewed. The literature and the articles are categorized based on several problem specifications, i.e., the flow of patients, patient preferences, and random arrival time and service. Several methods have been proposed to shorten the patient waiting time resulting in the shortest idle times in healthcare centers. Among existing modeling such as simulation models, mathematical optimization techniques, Markov chain, and artificial intelligence are the most practical approaches to optimizing or improving patient satisfaction in healthcare centers. In this study, various criteria are selected for structuring the recent literature dealing with outpatient scheduling problems at the strategic, tactical, or operational levels. Based on the review papers, some new overviews, problem settings, and hybrid modeling approaches are highlighted.

Determining the Number of Bariatric Beds Needed in a U.S. Acute Care Hospital

Aim:

This project used historical hospital data to forecast demand for specialized bariatric beds. Models were evaluated that determined the relationship between the number of bariatric beds owned and service level for patients of size requiring these beds. A calculator was developed for minimizing the equipment costs of meeting demand.

Background:

Failing to provide enough bariatric beds may negatively affect outcomes for patients of size and healthcare workers, whereas owning more bariatric beds than required to meet demand means unnecessary cost. With rising rates of obesity increasing care costs, minimizing equipment costs is increasingly important.

Method:

One year of hospital admissions data were used to determine arrival rates and lengths of stay for patients of size. Two subsequent years verified the consistency of these rates. Simulations modeled the flow of patients of size through the hospital and the service level associated with the number of beds owned. A minimization function determined the optimal number of bariatric beds to be provided. A simplified, generalizable model was compared to the simulation.

Results:

The simplified model produced similar results to more complex simulation. The optimization was robust, or insensitive to small changes in inputs, and identified substantial opportunity for savings if demand for beds was substantially over- or underestimated.

Conclusions:

The simplified model and cost optimization could be used in many situations to prevent costly errors in equipment planning. However, hospitals should consider customized simulation to estimate demand for high-cost equipment or unique circumstances not fitting the assumptions of these models.

Improvement in outpatient services using the WeChat calling system in the Shanghai Children's Hospital

Objectives:

We explored the utility of WeChat applet as part of the Outpatient Department (OPD) to provide patients with timely queuing information and compared it with the traditional calling system.

Methods:

Data for the WeChat calling system was extracted for the period of May 2018 to September 2018. Data for the traditional system was extracted for the same period from the year 2017. We compared the effective patient waiting time and nurse idle time i.e. nonproductive time spent on factors outside of employees’ control with the two systems. We also analyzed the relationship between the length of waiting time and conflicts between doctors and patients.

Results:

The mean wait time for the traditional calling system was 126 minutes, while the average idle time for nurses was 96 minutes/day. On the other hand, the mean wait time for the WeChat calling system was 33 minutes, and the average idle time for nurses was 72 minutes/day. The incremental profit (cost of traditional calling system – cost of WeChat calling system) achieved from switching systems was 13,879 yuan/month. Behavioral observations showed that wait time (OR=2.745, 95%CI 1.936~3.892 P<0.0001) was a risk factor for staff-patient conflict.

Conclusion:

The cost of the WeChat calling system was significantly lower than the traditional system. Also, the traditional calling system was time-consuming. Longer waiting time was the main factor affecting OPD quality and caused conflicts between doctors and patients.