Makkah healthcare cluster response, challenges, and interventions during COVID-19 pandemic: A qualitative study.

BACKGROUND: The global COVID-19 crisis has underscored the critical role of effective decision-making in healthcare systems. Saudi Arabia has shown resilience by implementing comprehensive testing, tracing, and vaccination measures. Given the unique cultural and religious characteristics of Makkah, specific challenges have prompted efforts to uncover local pandemic responses. This qualitative assessment aims to delineate the challenges faced by decision-makers during COVID-19 in Makkah and identify key interventions implemented by the Makkah healthcare cluster to manage and coordinate care. METHOD: Utilizing a purposive sampling approach, executive leaders within the Makkah Healthcare Cluster were invited for semi-structured interviews during the COVID-19 period. Thematic analysis was carried out in five steps, ensuring rigor and trustworthiness through multiple checks, and employing a critical and collaborative approach. RESULT: Throughout the COVID-19 outbreak in Makkah, participants revealed Several factors that have hindered healthcare organizations' ability to effectively manage the pandemic, including testing difficulties, resource shortages, vaccination misconceptions, continuity of care issues, infections among healthcare workers, and the need for consistent protocols. The participant leaders in Makkah's healthcare cluster specified implemented strategies that helped in overcoming the encountered challenges, such as adopting new technologies, enhancing communication, managing supply and demand, and improving workforce adaptability and development. Their experience in managing Hajj and Umrah provided valuable insights for handling the pandemic effectively. CONCLUSION: The study emphasizes the significance of technology adoption, effective communication, supply management, workforce development, and lessons from managing religious events. Its findings have implications for healthcare systems globally, emphasizing the importance of preparedness, response, and resilience in diverse cultural contexts.

The assessment of readiness to change among head managers of primary healthcare centers in Makkah, KSA.

Background: KSA is currently undergoing significant changes in its healthcare system, with a particular emphasis on enhancing the role of primary healthcare centers (PHCs) to elevate patient experience and overall healthcare quality. At the forefront of this transformation are head managers in PHCs, who play a crucial role in implementing these changes effectively. The readiness of these managers is paramount to the successful execution of the envisioned transformation and the subsequent improvement of patient experience. Objective: This study aims to assess the readiness to change among head managers of primary healthcare centers in Makkah, KSA. Methodology: Cross-sectional study utilized the ADKAR model questionnaire, consisting of 22 Likert scale questions, to assess PHCs head managers' awareness, desire, knowledge, ability, reinforcement, and overall change readiness. Results: The study found a significant association between higher educational levels and increased awareness (ß = 0.214, p = 0.030), along with greater desire (ß = 0.207, p = 0.029) among primary healthcare (PHC) managers. Additionally, a positive association was found between age (≥41 years) and knowledge among PHC managers (ß = 0.138, p = 0.030). However, managers with 11 or more years of experience showed a negative association with change readiness (ß = -0.112, p = 0.001). Conclusion: The ADKAR model outlines five dimensions that are useful for identifying the readiness and willingness of head managers in PHCs in Makkah cluster to undergo change. Assessing change readiness is crucial for organizational transformation, with head managers playing a significant role. Factors such as age, education, and experience influence managers' readiness for change in primary healthcare centers (PHCs) in Makkah.

Reliable relay assisted communications for IoT based fall detection.

Robust wireless communication using relaying system and Non-Orthogonal Multiple Access (NOMA) will be extensively used for future IoT applications. In this paper, we consider a fall detection IoT application in which elderly patients are equipped with wearable motion sensors. Patient motion data is sent to fog data servers via a NOMA-based relaying system, thereby improving the communication reliability. We analyze the average signal-to-interference-plus-noise (SINR) performance of the NOMA-based relaying system, where the source node transmits two different symbols to the relay and destination node by employing superposition coding over Rayleigh fading channels. In the amplify-and-forward (AF) based relaying, the relay re-transmits the received signal after amplification, whereas, in the decode-and-forward (DF) based relaying, the relay only re-transmits the symbol having lower NOMA power coefficient. We derive closed-form average SINR expressions for AF and DF relaying systems using NOMA. The average SINR expressions for AF and DF relaying systems are derived in terms of computationally efficient functions, namely Tricomi confluent hypergeometric and Meijer's G functions. Through simulations, it is shown that the average SINR values computed using the derived analytical expressions are in excellent agreement with the simulation-based average SINR results.

Measuring the relationship between body mass index and depression among Saudi adult population: A nationwide cross-sectional study.

BACKGROUND: The prevalence of obesity and depression shows an accelerating trend with increased risk of morbidity and disability. The exact underlying relationship between them is unclear. We aimed to evaluate the prevalence of body mass index (BMI) and depression and their associations in a large sample of Saudi adults. METHODS: We administered a nationwide cross-sectional web-based survey using a snowball sampling method among Saudi adults aged 18-60 years. We used a validated Arabic version of Beck's Depression Inventory-II (BDI-II) for depression assessment. We classified BMI into underweight, normal weight, overweight, and obesity. We used logistic regression analysis to determine the factors associated with depression. RESULTS: Among 4,683 Saudi adults, different grades of depression were present in 43.3%, most (25.2%) with a mild condition. Overweight and obesity were present in 26.4% and 21%, respectively. We found a positive association between BMI and BDI-II score (ρ = 0.14, p = 0.006). BMI was significantly higher among those who were older, males, married, living in the Eastern region of Saudi Arabia, educated at a pre-university level, employed, at high family-income levels, smokers, and people with chronic diseases. Depression score was significantly higher among married, non-employees, non-smokers, people with chronic diseases, and those with BMI ≥ 25 kg/m2. Non-smoking, presence of chronic diseases, and being overweight or obese were significantly associated with depression. CONCLUSIONS: Saudi adults were suffering from different grades of depression, overweight, and obesity. A positive association between BMI and BDI-II score was observed. Depression score did not differ by age, sex, geographical region, educational level, or family income. Non-smoking, presence of chronic diseases, and being overweight or obese were significantly associated with depression. Further longitudinal research is required to understand the factors underpinning causal relationships between BMI and depression, the subgroups' variation, and mediating strategies.

Factors Affecting the Length of Stay in the Intensive Care Unit among Adults in Saudi Arabia: A Cross-Sectional Study.

This study aimed to assess patient-related factors associated with the LOS among adults admitted to the ICU in Saudi Arabia. The Ministry of Health provided a cross-sectional dataset for 2021, which served as the data source for this study. The data included data on adults admitted to different ICUs at various hospitals. The number of days spent in the ICU was the outcome variable of interest. The potential predictors were age, sex, and nationality, as well as clinical data from the time of admission. Descriptive statistics and bivariate analysis were used to analyse the association between the predictors and the ICU LOS and characterize how they were distributed. We used negative binomial regression to examine the relationship between the study predictors and the ICU LOS. A total of 42,884 individuals were included in this study, of whom 25,520 were men and 17,362 were women. The overall median ICU LOS was three days. This study showed that the ICU LOS was highly influenced by the patient's age, sex, nationality, source of admission, and clinical history. Several predictors that affect how long adults stay in the ICU in Saudi Arabian hospitals were identified in this study. These factors can be attributed to variances in health care delivery systems, patient demographics, and cultural considerations. To allocate resources efficiently, enhance patient outcomes, and create focused treatments to reduce ICU LOS, it is essential to comprehend these elements.

Awareness and utilization of smoking cessation clinics in Saudi Arabia, findings from the 2019 Global Adult Tobacco Survey.

BACKGROUND: Tobacco use remains a leading cause of premature death. To combat tobacco use, the Ministry of Health (MOH) improved access to smoking cessation clinics (SCCs) by developing fixed SCCs and mobile SCCs, which move based on demand across locations. The goal of this study was to investigate awareness and utilization of SCCs among tobacco users in Saudi Arabia and the factors that influence their awareness and utilization. METHOD: This cross-sectional study used the 2019 Global Adult Tobacco Survey. Three outcome variables were employed, including tobacco users' awareness of fixed SCCs, mobile SCCs, and utilization of fixed SCCs. Several independent variables were examined, including sociodemographic characteristics and tobacco use. Multivariable logistic regression analyses were performed. RESULTS: One thousand six hundred sixty-seven tobacco users were included in this study. There were 60%, 26%, and 9% of tobacco users who were aware of fixed SCCs, aware of mobile SCCs, and visited fixed SCCs, respectively. The likelihood of being aware of SCCs increased among users residing in urban areas (fixed SCCs: OR = 1.88; 95% CI = 1.31-2.68; mobile SCCs: OR = 2.09; CI = 1.37-3.17) while it decreased among those reported self-employed (fixed SCCs: OR = 0.31; CI = 0.17-0.56; mobile SCCs: OR = 0.42; CI = 0.20-0.89). The likelihood of visiting fixed SCCs increased among educated tobacco users aged 25-34 (OR = 5.61; CI = 1.73-18.21) and 35-44 (OR = 4.22; CI = 1.07-16.64) while the odds of visiting SCCs decreased among those who were working in the private sector (OR = 0.26; CI = 0.09-0.73). CONCLUSION: The decision to quit smoking must be supported by an effective healthcare system that provides accessible and affordable smoking cessation services. Knowing the factors that influence the awareness and utilization of SCCs would help policymakers dedicate efforts targeting those who desire to quit smoking yet face limitations in using SCCs.

Factors associated with the desire to quit tobacco smoking in Saudi Arabia: Evidence from the 2019 Global Adult Tobacco Survey.

INTRODUCTION: Saudi Arabia is expected to witness a slight reduction in tobacco use. The Saudi government offers free-of-charge smoking cessation services. Yet, factors influencing the desire to quit smoking are not comprehensively investigated in Saudi Arabia. This study examines the factors influencing the desire to quit among smoking adults in Saudi Arabia and investigates whether using alternative tobacco products, such as e-cigarettes, is associated with the desire to quit smoking. METHODS: Data from the 2019 nationally representative Global Adults Tobacco Survey (GATS) was used. GATS utilized a face-to-face household cross-sectional survey that collected data from adults aged ≥15 years. Several factors including, sociodemographic characteristics, use of alternative tobacco products, attitude toward tobacco control, and awareness of smoking cessation clinics (SCCs), were examined to predict the desire to quit. Logistic regression analysis was conducted. RESULTS: A total of 11381 individuals completed the survey. Of the total sample, 1667 participants were tobacco smokers. The majority of the tobacco smokers were interested in quitting smoking (82.4%); 58% of cigarette smokers and 17.1% of waterpipe smokers were interested in quitting smoking. The desire to quit smoking was positively associated with the awareness of SCCs (AOR=3; 95% CI: 1.8-5), attitude toward raising tobacco taxes (AOR=2.3; 95% CI: 1.4-3.8), and a strict rule of smoking inside the home (AOR=2; 95% CI: 1.1-3.9). No statistical association was found between the desire to quit smoking and the use of e-cigarettes. CONCLUSIONS: The desire to quit tobacco smoking among Saudi smokers increased with awareness of SCCs, favoring taxes on tobacco products, and implementing strict rules of smoking inside the home. The study reveals valuable insights into the main factors that could inform the development of more effective policy interventions targeting smokers in Saudi Arabia.