6 research outputs found

    Antimicrobial prescribing and clinical outcomes in patients with COVID-19 infection: Experience of a single center in an upper middle-income country

    No full text
    OBJECTIVES: The aim of this study was to describe antimicrobial prescribing patterns in hospitalized adult patients with confirmed diagnosis of COVID-19 infection, and to determine the relationship between antimicrobial agent used and non-survival amongst the studied COVID-19 patients. METHODS: This is an observational, retrospective study. Specialty Clinic Hospital in Jordan is selected as the study setting for this conducted study. The study comprised of all hospitalized adult patients with confirmed diagnosis of COVID-19 infection who were admitted to the hospital between October 2020 and December 2020. FINDINGS: A total of 216 hospitalized patients with confirmed COVID-19 were included in the analysis. The majority of patients were prescribed antibiotic agents (n=149, 69.0%). Almost half of the patients have been prescribed antivirals agent (n=111, 51.4%). Survivals were significantly more likely to have been prescribed third generation cephalosporin (19.8% vs 3.4%, p=0.02). Non-survivals were significantly more likely to be older in age (mean age: 70.5 vs 62.7 years, p=0.009), have higher mean Charleston Comorbidity Index Score (3.7 vs 2.7, p=0.01), have at least one comorbidity (93.1% vs 71.1%, p=0.008), had shortness of breath at admission (72.4% vs 50.8%, p=0.023) and were admitted to the ICU during current admission (96.6% vs 18.7%, p<0.001) compared to survivors. Non-survivals were significantly more likely to had increased levels of WBC count (41.4% vs 19.7%; p=0.034), increased neutrophiles count (72.4% vs 39.4%; p=0.004) and higher mean C-reactive protein (167.2 vs 103.6; p=0.001) at admission. CONCLUSIONS: The results of this study demonstrated factors are associated with the non-survival, and additionally benchmarked the mortality rate, amongst the studied COVID 19 patients

    Decision-Making Preferences among Advanced Cancer Patients in a Palliative Setting in Jordan

    No full text
    Understanding patients’ decision-making preferences is crucial for enhancing patients’ outcomes. The current study aims to identify Jordanian advanced cancer patients’ preferred decision-making and to explore the associated variables of the passive decision-making preference. We used a cross-sectional survey design. Patients with advanced cancer referred to the palliative care clinic at a tertiary cancer center were recruited. We measured patients’ decision-making preferences using the Control Preference Scale. Patients’ satisfaction with decision-making was assessed with the Satisfaction with Decision Scale. Cohen’s kappa statistic was used to assess the agreement between decision-control preferences and actual decision-making, and the bivariate analysis with 95% CI and the univariate and multivariate logistic regression were used to examine the association and predictors of the demographical and clinical characteristics of the participants and the participants’ decision-control preferences, respectively. A total of 200 patients completed the survey. The patients’ median age was 49.8 years, and 115 (57.5%) were female. Of them, 81 (40.5%) preferred passive decision control, and 70 (35%) and 49 (24.5%) preferred shared and active decision control, respectively. Less educated participants, females, and Muslim patients were found to have a statistically significant association with passive decision-control preferences. Univariate logistic regression analysis showed that, being a male (p = 0.003), highly educated (p = 0.018), and a Christian (p = 0.006) were statistically significant correlates of active decision-control preferences. Meanwhile, the multivariate logistic regression analysis showed that being a male or a Christian were the only statistically significant predictors of active participants’ decision-control preferences. Around 168 (84%) of participants were satisfied with the way decisions were made, 164 (82%) of patients were satisfied with the actual decisions made, and 143 (71.5%) were satisfied with the shared information. The agreement level between decision-making preferences and actual decision practices was significant (ⱪ coefficient = 0.69; 95% CI = 0.59 to 0.79). The study’s results demonstrate that a passive decision-control preference was prominent among patients with advanced cancer in Jordan. Further studies are needed to evaluate decision-control preference for additional variables, such as patients’ psychosocial and spiritual factors, communication, and information sharing preferences, throughout the cancer trajectory so as to inform policies and improve practice

    Validation of the Arabic Version of the Edmonton Symptom Assessment System

    No full text
    Quality cancer care is a team effort. In addition, patients&rsquo; symptoms change over the course of treatment. As such, the Edmonton Symptom Assessment System (ESAS) is a simple tool designed to quickly monitor symptom change. Here, we present the results from a two-phase study aimed at validating the Arabic version of the ESAS (ESAS-A). Phase one involved the creation of two versions of the ESAS with both reverse and forward translations by bilingual, native Arabic speakers as well as evaluation by an expert panel. The reconciled version was then administered to 20 patients as a pilot from which to create the final version, which was then used with 244 patients. Phase two for the ESAS&mdash;involved an ESAS-based validation of 244 adults aged 18 years and older who were diagnosed with advanced cancer; then, further validation was completed in conjunction with two other symptom survey tools, the EORTC-Pal 15 and the HADS. The ESAS-A items possessed good internal consistency with an average Cronbach&rsquo;s alpha of 0.84, ranging from 0.82 to 0.85. Moreover, the results of ESAS-A showed good agreement with those of EORTC QLQ- 15 PAL (r = 0.36 to 0.69) and HADS (r = 0.60 and 0.57) regarding anxiety and depression. We found the ESAS-A to be responsive to symptom change and a median time to completion of 3.73 min. The results of our study demonstrate that the ESAS-A is a reliable, valid, and feasible tool for the purposes of monitoring symptom change over the course of cancer treatment
    corecore