DSpace Collection: 1 - 143

Understanding the Effect of Virtual Reality on Anxiety and Pain Due to Intrauterine Device Insertion

Mon, 01 Jan 2024 00:00:00 GMT

Title: Understanding the Effect of Virtual Reality on Anxiety and Pain Due to Intrauterine Device Insertion Authors: Riska, Herliana; Widaryanti, Rahayu; Yuliani, Istri; Ratnaningsih, Ester Abstract: Background: Virtual Reality (VR) can provide more interruption as it inundates the patient in a different universe and connects with numerous faculties. VR has been utilized to deal with the pain and stress associated with various painful medical procedures. Materials and Methods: This multi‑method study was conducted on 60 women in an Intrauterine Device (IUD) acceptor. This research occurred in the independent practice of midwifery in the great region of Yogyakarta, Indonesia, in 2020. Results: The study found that the things that make respondents anxious in the face of this IUD insertion are experience, information, knowledge, and family support. The quantitative analysis found different pain levels in the VR and non‑VR groups (t118 = 1,65, p < 0,001). Conclusions: VR can be used as a method to distract clients during IUD insertion.

Exploring Factors affecting Missed Nursing Care in Cardiovascular Care Units: A Qualitative Study

Mon, 01 Jan 2024 00:00:00 GMT

Title: Exploring Factors affecting Missed Nursing Care in Cardiovascular Care Units: A Qualitative Study Authors: AmrolahiMishavan, Fatemeh; Emami‑Sigaroudi, Abdolhossein; Jafaraghaee, Fatemeh; Shahsavari, Hooman; Maroufizadeh, Saman; BabaeipourDivshali, Mohammad Abstract: Background: Cardiovascular care units are among the most crucial departments in any healthcare system. In these units, nurses play the most pivotal roles, and the quality of nursing care is essential; missing certain aspects of care can have irreversible adverse effects on patient health. This qualitative study aims to investigate the factors influencing Missed Nursing Care (MNCs) based on the experiences of nurses and patients in cardiovascular care units. Materials and Methods: This qualitative study utilized the conventional content analysis approach to explore the factors affecting MNCs in cardiovascular care units. Data were collected between December 2021 and September 2022 through in‑depth, semi‑structured individual interviews with 11 participants selected through purposive sampling. Data analysis followed the five‑step method proposed by Graneheim and Lundman. Results: The analysis revealed five main themes: nurse’s job characteristics, work– life conflict, nurse’s professional competence, the cardiac work environment atmosphere, and organizational management. Conclusions: The findings of this study suggest that authorities should consider factors such as understanding the occupational characteristics of nurses when assigning them to cardiovascular care units, providing solutions to mitigate work–life conflicts for nurses, enhancing nurses’ professional competence, improving the working environment for nurses, and enhancing the performance and skills of organizational managers.

Breakfast Skipping and Associated Factors Among Jordanian University Students

Mon, 01 Jan 2024 00:00:00 GMT

Title: Breakfast Skipping and Associated Factors Among Jordanian University Students Authors: Alshdifat, Enas; Alkhawaldeh, Abdullah; Albashtawy, Mohammed; Ta’an, Wafa’a; Mohammad, Khitam; Al‑Rawashdeh, Sami Abstract: Background: Although breakfast skipping among university students is a significant concern, its prevalence and the contributing factors among university students have received little attention in the literature. This study aims to determine the prevalence of skipping breakfast among Jordanian university students and examine the associated factors and variations in rates of skipping breakfast by day of the week. Materials and Methods: A cross‑sectional study was conducted among undergraduate students between March and May 2022 through a self‑questionnaire. A convenience sample of 891 students was chosen at four Jordanian public universities. The data were analyzed using descriptive and inferential statistics. Results: The prevalence of skipping breakfast among university students was 66%. The reasons for skipping breakfast were having no time due to oversleeping and having no feeling of hunger (59% for both), followed by having no energy to prepare the breakfast and making no difference (49% and 48%), and not being able to afford to eat or buy breakfast (19%). There is a strong correlation between eating fast food and skipping breakfast. With whom the student eats breakfast is significantly associated with breakfast skipping, revealing that the highest percentages of skipping occur with friends. About 63% of students skipped breakfast through university days compared with 37% on the weekend, while 37% of them had breakfast through university days compared with 67% on the weekend. Conclusions: A high percentage of university students in Jordan skip breakfast. More attention should be paid to correlating factors and developing interventions to help students adhere to the breakfast.

Assessment of Cognitive Impairment and Related Factors Among Elderly People in Jordan

Mon, 01 Jan 2024 00:00:00 GMT

Title: Assessment of Cognitive Impairment and Related Factors Among Elderly People in Jordan Authors: Alkhawaldeh, Abdullah; Alsaraireh, Mahmoud; ALBashtawy, Mohammed; Rayan, Ahmad; Khatatbeh, Moawiah; Alshloul, Mohammad Abstract: Background: With an increase in elderly people, it is essential to address the issue of cognitive impairment and support healthy aging. This study aimed to assess cognitive impairment and factors associated with it among older adults. Materials and Methods: A cross‑sectional study was carried out in different catchment areas within the Jerash governorate in the north of Jordan. The Elderly Cognitive Assessment Questionnaire (ECAQ) and a household face‑to‑face interview were used to collect data from 220 older adult participants aged 60 years and more. Descriptive statistics were conducted to describe the study variables. Correlation tests were applied to find associations between them. Logistic regression analysis was applied, with a minimum significance level (p < 0.05). Results: About 9.10% of the older adults had cognitive impairment. Cognitive impairment was correlated with age, self‑perceived health, hypertension, stroke, and mental illness. The primary predictors of cognitive impairment were age [odds ratio (OR) =1.07 (1.01–1.14), p = 0.001] and stroke [OR = 10.92 (1.44–82.85), p = 0.001]. Conclusions: While many factors were correlated with cognitive impairment, the strongest predictors of cognitive impairment were age and stroke.