Global journal on quality and safety in healthcare最新文献

Introduction: Prescribing errors (PEs) are the most common type of medication error, which may occur by prescribing the wrong medication, improper dose, dosage, and/or even prescribing a drug to the wrong patient. The present study aims to compile PEs that were generated in an ambulatory care setting at a tertiary-care hospital in Saudi Arabia.

Methods: A retrospective cross-sectional review was conducted for all reported PEs in ambulatory care clinics for 3 years. The potential hazardous outcomes of these PEs were classified according to the medication error index.

Results: A total of 897 records containing 1199 PEs were retrieved. More than a third of prescribers had frequently committed PEs-ranging from 2 to 39 times. The most encountered errors were prescribing incorrect doses, medication duplication, incorrect dosing frequency, and inappropriate duration (34.5%, 14.1%, 11.6%, and 9.8%, respectively). The most frequent mistakes were when prescribing antibiotics (22.9%) and drugs for cardiovascular conditions (18.5%). Most errors were of mild to moderate severity, mostly type-B near-miss errors and did not reach patients. Only two prescription events (0.17%) had severe consequences that required intervention to avoid any subsequent harm or damage.

Conclusion: The current investigation has revealed a substantial percentage of PEs, mostly in internal medicine and cardiology departments. Although PEs are undoubtedly not easy to avoid, monitoring and recognizing these inaccuracies is pivotal to preventing potential harm and promoting patient safety.

Introduction: Continuous assessment of community health needs is essential to predict, recognize, and act on healthcare issues. Conducting community health needs assessments (CHNAs) in Saudi Arabia has become a priority to overcome the current healthcare challenges and keep pace with the Saudi Arabia 2030 vision. Studies reporting community health needs in Saudi Arabia regions are limited despite the high incidence of chronic diseases. This study aims to understand the community's health problems and the range of healthy behaviors and determine the priority health problems.

Methods: We conducted a cross-sectional study based on the adults in Primary Health Care Centers in Hail, Northern Saudi Arabia, by using the CHNA standard questionnaire. In addition to the demographic information, the questionnaire collects data on personal health status, the health status of adults and children, health facilities access information, receiving of healthcare procedures, traveling for healthcare, source of medical information, safety measures and behaviors, health problems, childcare (special needs), and perceived community problems.

Results: In all, 336 individuals were approached to participate in this study; 303 agreed to participate (response rate: 90%). The analysis comprised 276 individuals after eliminating 27 who did not fulfill the age inclusion criteria or had missing gender data. Of these, 107 (38.8%) were men and 169 (61.2%) were women. Our data revealed that almost half of the participants, 135 (52.9%) constantly or 107 (42%) occasionally, were able to visit the doctors when needed.

Conclusion: Our findings reported positive health behaviors and good accessibility to healthcare services when needed. However, the study findings also revealed healthcare challenges that required urgent action from Hail healthcare leaders. Developing healthcare strategies, screening/prevention programs, and changing healthcare policies in the Hail region are needed to control and prevent health problems and improve the population's health.

This policy analysis focuses on harnessing the power of artificial intelligence (AI) in hospital quality improvement to transform quality and patient safety. It examines the application of AI at the two following fundamental levels: (1) diagnostic and treatment and (2) clinical operations. AI applications in diagnostics directly impact patient care and safety. At the same time, AI indirectly influences patient safety at the clinical operations level by streamlining (1) operational efficiency, (2) risk assessment, (3) predictive analytics, (4) quality indicators reporting, and (5) staff training and education. The challenges and future perspectives of AI application in healthcare, encompassing technological, ethical, and other considerations, are also critically analyzed.

Introduction: To improve resource allocation within our healthcare system, the Egyptian Authority for Unified Procurement, Medical Supply and the Management of Medical Technology (UPA) and Universal Health Insurance Authority (UHIA) established a joint economic evaluation process to support UHIA reimbursement decisions and UPA procurement decisions. The main objective of this study is to describe the developed national pharmacoeconomic guidelines in Egypt, especially for reimbursement and procurement for new pharmaceuticals.

Methods: A focus group was formed as a national initiative activity by governmental authorities in Egypt. The aim of this focus group was to develop national pharmacoeconomic guidelines for the evaluation of innovative and high-budget pharmaceutical products. This group consisted of various stakeholders with experience in health economics, outcomes research, public health, and pharmacy practice. To develop our national pharmacoeconomic guidelines, three steps were taken. First, the focus group reviewed the European Network for Health Technology Assessment (EUnetHTA) methods for health economic evaluations for new pharmaceuticals as well as the Canadian Agency for Drugs and Technologies in Health (CADTH) guidelines and the Academy of Managed Care Pharmacy (AMCP) Format for Formulary Submissions. Second, the focus group used the EUnetHTA guideline as a reference and adapted it to our local context. The focus group added the value assessment component, using the CADTH and AMCP guidelines. Third, the focus group collected input and feedback from key stakeholders through a focus group by using the quasi-Delphi panel approach.

Results: The results of the focus group are a main structure of national pharmacoeconomic guidelines for the evaluation of innovative and high-budget pharmaceutical products, consisting of seven main topics.

Conclusion: Economic evaluation is a core element of Health Technology Assessment, (HTA); therefore, the UHIA and UPA were encouraged to produce unified joint pharmacoeconomic guidelines for innovative products as an initial step in their commitment to implement the use of HTA in decision-making. This standardization of guidelines not only ensures transparency but also guarantees an accurate and transparent process to support evidence-based decision-making. These guidelines are expected to help decision-makers improve their process and attain better health outcomes for Egyptian patients.

Introduction: In response to curbing the spread of SARS-CoV-2, healthcare professionals (HCPs) encounter a multitude of mental stresses. The primary intent was to explore the mental health and well-being experienced by HCPs in Ekiti State, Nigeria, amid the COVID-19 pandemic.

Methods: Data were analyzed using inductive qualitative methodology. The study was undertaken among HCPs in two teaching hospitals in Ekiti State during the SARS-CoV-2 outbreak. Convenience sampling techniques were employed to select participants for this study. A comprehensive interview ranging from 30 to 50 minutes per participant was administered to a sample of 14 HCPs (doctors and nurses) representing various departments within the hospital. The interviews were conducted between March 2020 and May 2020. COVID-19 stressful situations, the physiological consequences of stress, personality, disposition, stress management techniques, and coping mechanisms were evaluated.

Results: The study outcomes indicate that a significant proportion of HCPs currently face mental well-being. The primary sources of stress identified in this study included heavy workloads and pressure from social media platforms and government agencies. The outbreak crisis significantly influenced on their lives and work, with the fear of catching diseases and their anxiety about spreading infections to their loved ones.

Conclusions: HCPs require a secure working environment during the current circumstances, along with an enhanced support system to alleviate stressors. This study contributes to a significant proportion of HCPs currently facing stress.

Introduction: Hospital performance is significantly affected by external factors (political and economic) rather than internal factors (effectiveness and efficiency). Emergency department (ED) overcrowding is a significant issue for emergency care services globally, characterized by a rising number of visits and persistent unsolved issues, resulting in increased challenges faced by ED staff and decreased patient satisfaction. This study aimed to explore the obstacles and challenges that cause variation in ED quality indicators (QIs) based on five domains: infrastructure, population, workflow, workforce, and administration.

Methods: A tertiary emergency center in Saudi Arabia administered a questionnaire with standardized measures to 180 nurses, using a cross-sectional descriptive design.

Results: Most nurses (75.5%) believed that crowded waiting rooms in the ED were the most influential factor affecting QIs. Many other challenges were identified, including bed capacity, triage area/workflow, increased volume during peak periods, demand for nonemergency visits, staff and shortages. Significant differences in nurses' responses were found on the basis of education level (for infrastructure only, p = 0.004), specialty (for nursing administration only, p = 0.052), and ED experience (for all variables, p = 0.008-0.039).

Conclusion: The analysis uncovered various critical aspects of infrastructure, workflow, population, workforce, and nursing administration that have a major effect on patient flow in the ED. Comprehending these aspects will greatly affect the quality measures of ED performance and assist policymakers in formulating strategic plans to enhance ED performance. Therefore, successful implementation and optimization of ED resources depend greatly on considering the right decision variables and resource restrictions.