Competitive advantages of organizational project management maturity: A quantitative descriptive study in Australia.

The purpose of this study is to examine whether organizational project management maturity in the project management consultancy industry offers any competitive advantages to a business when it tenders for contracts. We collected 150 responses from both members and former members of professional Australian project management associations in order to examine and understand any potential effects of project management maturity on management and organizations. The statistical software SPSS was used to analyze the data collected with the confidence interval (alpha) set at 5%. The results of this study reveal that organizational project management maturity has an effect on competitive advantages as noted by the project managers (p < .0001; 99.99%; H0 -rejected). The study also shows that the perception of competitive advantages for organizational project management maturity is based on the level of maturity reached. It also reveals that an organization is winning contracts/jobs due to various other competencies, particularly soft skills such as client relationships, stakeholder management, communications skills, and modes of client engagement.

Prevalence of oropharyngeal dysphagia and risk of mortality among hospitalized COVID-19 patients: A meta-analysis.

Background: Post-extubation and neurologic complications in COVID-19 patients have been shown to cause oropharyngeal dysphagia (OD). We performed the first meta-analysis to explore and estimate the pooled prevalence of OD, risk of mortality, and associated factors among hospitalized COVID-19 patients. Methods: We searched Scopus, PubMed, Embase, CINAHL, WHO COVID-19 database, and Web of Science for literature on dysphagia in COVID-19 patients. We used the generalized linear mixed model (GLMM) to determine the prevalence estimates of OD in the R software and the DerSimonian-Lard random-effects model in the Comprehensive Meta-Analysis software to explore the risk of mortality and associated factors of OD, presented as odds ratios (ORs) and corresponding 95% confidence intervals (CIs). We used Cochran's Q, τ2, and the I2 statistic to assess heterogeneity and conducted a moderator analysis to identify moderator variables. Results: We included eighteen studies with a total of 2055 participants from the 910 studies retrieved from electronic databases. The prevalence of OD among hospitalized COVID-19 patients was estimated at 35% (95% CI = 21-52; low certainty of evidence) associated with a high risk of mortality (OR = 6.41; 95% CI = 1.48-27.7; moderate certainty of evidence). Intubation (OR = 16.3; 95% CI = 7.10-37.3; high certainty of evidence), use of tracheostomies (OR = 8.09; 95% CI = 3.05-21.5; high certainty of evidence), and proning (OR = 4.97; 95% CI = 1.34-18.5; high certainty of evidence) among hospitalized COVID-19 patients were highly associated with developing OD. The prevalence of OD was higher among hospitalized COVID-19 patients who were admitted in intensive care units (ICU), intubated, and mechanically ventilated. Conclusions: The prevalence of OD among hospitalized COVID-19 patients is estimated at 35% associated with a high risk of mortality. OD assessment among hospitalized COVID-19 patients who are managed in an ICU, prone position, intubated, and mechanical ventilated deserves more attention. Registration: PROSPERO CRD42022337597.

Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis.

Background: Shift work and irregular work schedules among first responders have been associated with physical and psychological problems such as sleep disorders. We conducted the first meta-analysis to explore and estimate the prevalence of sleep disorders among first responders for medical emergencies. Methods: We searched four databases: Web of Science, Psych Info, CINAHL, and PubMed. The Generalized Linear Mixed model (GLMM) was used to estimate the prevalence estimates of sleep disorders in R software and the DerSimonian-Lard random-effects model in Comprehensive Meta-Analysis was used to explore associated comorbidities for OSA and insomnia, presented as odds ratios (ORs) and confidence intervals (CIs). The Cochran's Q, τ2, and the statistics were used to assess heterogeneity and the moderator analysis was conducted to identify moderator variables. Results: Twenty-eight studies with 100 080 first responders were included from the total of 1119 studies retrieved from the databases. The prevalence rates for sleep disorders were 31% (95% CI = 15%-53%) for shift work disorder (SWD), 30% (95% CI = 18%-46%) for obstructive sleep apnea (OSA), 28% (95% CI = 19%-39%) for insomnia, 28% (95% CI = 24%-33%) for excessive daytime sleepiness (EDS), 2% (95% CI = 1%-4%) for restless leg syndrome, and 1% (95% CI = 0%-5%) for narcolepsy. Anxiety (OR = 2.46; 95% CI = 1.99%-3.03%), cardiovascular disease (CVD) (OR = 2.03; 95% CI = 1.43-2.88), diabetes mellitus (DM) (OR = 1.93; 95% CI = 1.41-2.65), depression (OR = 1.89; 95% CI = 1.01-3.56), gastroesophageal reflux disease (GERD) (OR = 1.83; 95% CI = 150-2.22), and post-traumatic stress disorder (PTSD) (OR = 1.78; 95% CI = 1.33-2.39) were associated with OSA. Depression (OR = 9.74; 95% CI = 4.67-20.3), anxiety (OR = 9.22; 95% CI = 3.81-22.3), and PTSD (OR = 7.13; 95% CI = 6.27-8.10) were associated with insomnia. Age, gender, first responders, continent, study quality, study design, and assessment tool were significant moderator variables for OSA, insomnia, and EDS. Conclusions: This meta-analysis found a substantially high prevalence of sleep disorders including SWD, OSA, insomnia, and EDS among first responders for medical emergencies. Early assessment and management of sleep disorders among first responders is necessary to promote good, quality sleep to help prevent anxiety, depression, CVD, DM, GERD, and PTSD.

Institutional factors associated with the incidence rates of central line-associated bloodstream infection in California community hospitals.

Central line-associated bloodstream infections are frequent, deadly, costly, and preventable. The study aimed to explore how some hospital-related characteristics were associated with incidence rates of central line-associated bloodstream infections reported by community hospitals in California from January to December 2019. This retrospective, cross-sectional study used combined data from records submitted to the California Department of Public Health, California Open Data Portal, the California Health and Human Services Open Data Portal, and the American Hospital Directory by community hospitals in California with central line-associated bloodstream infections in 2019. Results showed that CLABSIs are significantly associated with bed capacity, health care system affiliation, ownership, and hospital accreditation status (p < 0.0001). CLABSI remains a relevant threat to patient safety and quality of care, even more so in the community hospital setting. Understanding if a relationship exists between institutional factors and CLABSI rates might better prepare leaders in healthcare organizations to reduce HAIs.

Prevalence of depression, anxiety, and stress among first responders for medical emergencies during COVID-19 pandemic: A meta-analysis.

Background: The COVID-19 pandemic has been shown to cause enormous psychological burden among health care workers, including first responders. However, psychological well-being of first responders, essential in the fight against COVID-19 pandemic, has often been ignored. We performed the first meta-analysis to explore the prevalence of 1) depression, 2) anxiety, and 3) stress among first responders for medical emergencies during the COVID-19 pandemic. Methods: A comprehensive search was conducted in Embase, CINAHL, Web of Science, PsychInfo, PubMed, and the WHO COVID-19 database from 2020. The Freeman-Tukey double-arcsine transformation model in R-software determined the pooled prevalence and Comprehensive Meta-Analysis for associated factors of depression, anxiety, and stress with corresponding 95% confidence intervals (CI). The Cochrane Q, τ2, and I2 statistics were used to examine heterogeneity. Sub-group analysis was conducted to identify moderator variables. Results: We identified 765 records, from which 17 studies were included with 8096 first responders. The pooled prevalence was 31% (95% CI = 21%-41%) for depression; 67% (95% CI = 64%-70%) for mild depression, 24% (95% CI = 17%-31%) for moderate depression, and 16% (95% CI = 4%-34%) for severe depression. The pooled prevalence for anxiety was 32% (95% CI = 20%-44%); 60% (95% CI = 46%-73%) for mild anxiety, 27% (95% CI = 14%-42%) for moderate anxiety, and 14% (95% CI = 7%-22%) for severe anxiety. The pooled prevalence for stress was 17% (95% CI = 4%-34%); 58% (95% CI = 38%-77%) for mild stress, 22% (95% CI = 5%-44%) for moderate stress, and 19% (95% CI = 5%-37%) for severe stress. The prevalence of depression was 37% (95% CI = 25%-52%) for paramedics, 28% (95% CI = 12%-54%) for EMS personnel and 22% (95% CI = 13%-33%) for police. Similarly, the prevalence of anxiety was 38% (95% CI = 20%-60%) for paramedics, 28% (95% CI = 11%-53%) for EMS personnel, and 19% (95% CI = 10%-32%) for police. Married responders were likely at risk for depression (1.50, 95% CI = 1.26-1.78) and anxiety (1.94, 95% CI = 1.62-2.33), while unmarried responders were less likely at risk for depression (0.67, 95% CI = 0.56-0.79) and anxiety (0.50, 95% CI = 0.43-0.63). Conclusions: High prevalence of depression, anxiety, and stress during the COVID-19 pandemic among first responders for medical emergencies emphasizes the need for monitoring their psychological well-being. Early assessment and management of mild depression, anxiety, and stress among first responders are crucial in preventing progression into moderate and severe types.