Search results

This study aims to explore the effects of cat-assisted therapy (Ca-AT) on a patient in their homes, specifically investigating the effects on patient’s memory, behavioral pathology and ability to perform activities of daily living, independently.

A case study design was used in patient’s homes using three measuring scales, namely, Mini-Mental State Examination (MMSE), Barthel index (BI) and Behavioral Pathology in Alzheimer’s Disease (AD) Rating Scale.

The MMSE and BI mean scores were increased, whereas the Behavioral Pathology mean score was decreased. Patient negative behaviors were improved specifically, aggressiveness, anxieties, phobias, and caregiver burden was decreased.

Patients with AD could significantly benefit from Ca-AT in their own homes, and it could decrease caregiving burden.

Ca-AT is a newly developed type of animal-assisted therapy that uses cats to treat patients, especially elderly people with AD, in their homes.

The purpose of this paper is to assess the level of nurses’ competencies while providing care to COVID-19 patients.

A descriptive, correlational design was used to collect data from nurses who were providing care to COVID-19 patients at four public hospitals.

A total of 377 nurses (64.5% females) aged 23–50 consented to participate and completed the survey. The mean score of nurses’ competencies in providing care to COVID-19 patients was 2.5 (SD = 0.81). The results of correlation coefficient tests disclosed a significant positive correlation between reported competence level and sex r_pb (377) = 0.18, p < 0.01; working area r_pb (377) = 0.2, p < 0.01; disaster experience r_pb (377) = 0.16, p < 0.01; disaster education r_pb (377) = 0.25, p < 0.01; and disaster training r_pb (377) = 0.31, p < 0.01.

The COVID-19 pandemic response heavily relied on nurses. However, they had a gap in clinical competencies that indicates an urgent need to incorporate disaster management courses in basic nursing education and to update training in hospitals based on nurses’ needs to improve their capabilities in dealing with COVID-19 pandemic.

To the best of the authors’ knowledge, this is the first study that investigated the perceived level of Jordanian nurses’ competencies in providing care to COVID-19.

The purpose of this paper is to assess nurse’s knowledge and practice regarding basic life support (BLS) skills while working with SARS-CoV-2 patients in Jordanian hospitals.

A cross-sectional survey was conducted among 386 nurses with direct contact with SARS-CoV-2 patients at Jordanian hospitals. A self-administered structured questionnaire was used based on the American Heart Association (AHA) guidelines.

A total of 386 participants were recruited. The mean years of experience were 7.89 (SD = 5.97). About three quarters of participants revealed they deal with SARS-CoV-2 patients directly (n = 284, 73.6%). The total mean score of nurse’s knowledge was 4.44 (SD = 1.22), while the total mean score of practice was 8.44 (SD = 2.05). Independent t-test was used, which revealed a statistically significant difference between educational level and total score of nurse’s knowledge [t(386) = 0.215 and p = 0.001] and between training to deal with SARS-CoV-2 during BLS and total score of practice [t(386) = 2.66 and p = 0.008]. Pearson correlation discloses a positive correlation between the total score of knowledge and practice (r = 0.343 and p = 0.001).

In general, nurses revealed a moderate level of knowledge and practice of BLS skills. However, assessing nurse’s knowledge and practice during the outbreak of SARS-CoV-2 plays a key role in identifying the gap in nurse’s knowledge and practice, and therefore, it will have an impact on providing high-quality BLS to save infected patients while providing maximum safety according to AHA guidelines.

This study is the first study that examined the level of knowledge and practice of BLS skills during SARS-CoV-2 pandemic in Jordan.

This study aims to assess the quality of life (QOL) and the related factors in patients post-stroke in Jordan.

Prospective, the cross-sectional study recruited 100 participants with stroke from three public hospitals from December 1, 2021 to February 1, 2022. Patients with stroke were interviewed to fill the stroke-specific quality of life questionnaire.

Forty-five per cent of the participants were male. More than half of the participants (53%) were married, and the average age of the participants was 63.6 (SD =3.8). Most of the participants had an ischemic stroke (86%) with an affected left side (65%). The overall QOL of the participants was leveling at (M = 123.5, SD = 45.2), which is a moderate level. It was found statistical significance differences among participants according to gender, type of stroke, affected side and presence of comorbidities (Table 1).

There were some limitations in this study. First, this study was based on mild to moderate Jordanian stroke survivors and did not include critically ill stroke survivors; the QOL critically ill stroke survivors may differ, which could affect the generalizability of data among all stroke survivors. Second, this study is prospective, and this type of study is prone to bias that could influence the reliability of the results. It is recommended to conduct a mixed-method study to reveal an in-depth understanding of the associated factors with QOL, to ensure reliability and to reflect a better view of the Jordanian population.

To sum up, there is a reduction in the level of QOL among stroke survivors; hence, it is crucial to focus on detecting factors contributing to reducing the QOL and taking individual differences between sexes, type and location of the stroke, and comorbidities into consideration to develop a treatment plan that enhances the QOL and well-being for survivors of stroke.

Taking individual differences between sexes, type and location of the stroke and comorbidities into consideration to develop a treatment plan that enhances the QOL and well-being of survivors of stroke.

The findings of this study bring a strong insight toward assessing the main factors indicating a decrease QOL among stroke survivors.

This study aims to review the lived experience of patients suffering from stroke and describe their perception of palliative care needs.

A literature review search was conducted. Web of Sciences, SAGE, CINAHL, PubMed and Jordanian Database for Nursing Research databases were used to search the literature.

The findings of 37 articles were address palliative care approaches for patients with stroke, lived experiences of patients suffering from stroke and the experience, barriers and facilitators related to health-care service for stroke survivors.

This review indicated the importance of recognizing palliative care needs among patients suffering from stroke to improve post-stroke recovery. This study recommends further research, especially in low- and middle-income countries, to understand patients’ experiences and recognize the main palliative care needs that can be incorporated into interventions designed to improve the quality of life among them.

The purpose of this paper is to provide explanation for the economic development of the earliest Islamic state. It focuses on the role of human capital as the most important element of this model and focuses on four dimensions of development of human personality in Islam: the incentive structure, rules of behavior, institutions and policies.

A review and analysis of the measures and policies that Prophet of Islam and his successors adopted are made to arrive at the underlying economic model of development.

The major finding is the role of human capital in the development of the economy at that time.

The contribution of the paper is to identify the critical role of education and skills for the development of the economy at present.

This study aims to provide insight into the operational factors of big data. The operational indicators/factors are categorized into three functional parts, namely synthesis, speed and significance. Based on these factors, the organization enhances its big data analytics (BDA) performance followed by the selection of data quality dimensions to any organization's success.

A fuzzy analytic hierarchy process (AHP) based research methodology has been proposed and utilized to assign the criterion weights and to prioritize the identified speed, synthesis and significance (3S) indicators. Further, the PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations) technique has been used to measure the data quality dimensions considering 3S as criteria.

The effective indicators are identified from the past literature and the model confirmed with industry experts to measure these indicators. The results of this fuzzy AHP model show that the synthesis is recognized as the top positioned and most significant indicator followed by speed and significance are developed as the next level. These operational indicators contribute toward BDA and explore with their sub-categories' priority.

The outcomes of this study will facilitate the businesses that are contemplating this technology as a breakthrough, but it is both a challenge and opportunity for developers and experts. Big data has many risks and challenges related to economic, social, operational and political performance. The understanding of data quality dimensions provides insightful guidance to forecast accurate demand, solve a complex problem and make collaboration in supply chain management performance.

Big data is one of the most popular technology concepts in the market today. People live in a world where every facet of life increasingly depends on big data and data science. This study creates awareness about the role of 3S encountered during big data quality by prioritizing using fuzzy AHP and PROMETHEE.