Introduction Premenstrual syndrome (PMS) is a regular clinical condition that affects most women during their reproductive years. Its related symptoms may be linked to a decrease in women's quality of life. Female nurses may be more susceptible to PMS due to the demanding nature of their job. The importance of nurses' jobs and how their quality of life will affect patients and themselves in parallel make female nurses a population that is worth investigating. Our objective is to estimate the level of PMS among Jordanian nurses and assess the potential impact of PMS on work-related quality of life among them. Methods A cross-sectional study was conducted on 210 nurses who completed a questionnaire regarding demographic data, menstrual characteristics, the Premenstrual Symptoms Screening Tool (PSST), and the Work-Related Quality-of-Life Scale (WRQoL). The nurses were classified as having or not having PMS according to the PSST. Results The prevalence of PMS was 60.5%, the results showed a significantly lower mean WRQoL score for nurses with PMS (mean = 65.47, SD = 15.38) compared to nurses without PMS (mean = 70.54, SD = 14.47). The multivariable regression model revealed that the adjusted odds ratios for age, combined oral contraceptive pill (COCP) use, family history, severe dysmenorrhea, job and career satisfaction, and stress at work were 0.90 (95% CI = 0.84, 0.96), 5.18 (95% CI = 1.33, 20.17), 2.52 (95% CI = 1.23, 5.18), 11.78 (95% CI = 2.48, 56.02), 0.92 (95% CI = 0.85, 0.99), and 1.20 (95% CI = 1.01, 1.42), respectively. Conclusion PMS is quite prevalent among Jordanian nurses, with a negative impact on their work-related quality of life. Healthcare managers might implement special regulations for female nurses with PMS to improve their work-related quality of life. This research suggests that PMS is a substantial factor in the low work-related quality of life among Jordanian nurses.

Objective: This study aimed to assess health-related quality of life (HRQoL) among postpartum women in Jordan and identify the factors that may influence it. Methodology: This study employed a cross-sectional design and was conducted among women who had given birth within the last year, selected through cluster randomization from four primary healthcare centers in Amman. Household resource quality of life was measured on the validated 36-Item Short Form Survey (SF-36), which covers eight domains of health. Descriptive statistics were calculated. Independent t-tests and one-way ANOVA were used to compare mean HRQoL scores across categories of socio-demographic variables (e.g., marital status, income, employment, feeding type). Pearson correlation was used to examine the relationship between age (the only continuous variable) and HRQoL domains. Statistical significance was set at p < 0.05. Results: The physical functioning had the highest HRQoL (62.48 ± 25.19), and the lowest HRQoL (34.59 ± 37.46) was found in role limitations due to physical health and emotional problems (36.37 ± 40.90). Key socio-demographic factors were highly related to HRQoL. Better general health perceptions (p = 0.003) and emotional well-being (p = 0.005) were found to be correlated with higher income. The married women scored much higher in physical functioning (p = 0.015) and emotional well-being (p = 0.013) than divorced women. Infant feeding methods and employment status were also significantly associated with certain domains of HRQoL. Conclusions: Postpartum women in Jordan experience low HRQoL, particularly in the domains related to role limitations. Socio-demographic factors were found to be crucial, wherein marital status and income are specific aspects. This study strongly recommends immediate integration of an appropriate multidimensional support program in postpartum care as an intervention toward improving maternal well-being.

Artificial intelligence (AI) is increasingly integrated into healthcare delivery, yet patient acceptance in resource constrained settings remains incompletely characterized. This study assessed attitudes toward AI supported care among patients attending hospitals in three Jordanian governorates (Amman, Balqa, Irbid) and examined demographic and digital literacy correlates of acceptance. In a cross sectional survey (n = 500 complete questionnaires), participants rated exposure to AI in healthcare and five attitudinal domains, namely perceived usefulness or performance expectancy, trust and transparency, privacy and perceived risks, empathy and human interaction, and readiness or behavioral intention, using 25 items on 5 point Likert scales. Patients expressed conditional optimism: empathy and human interaction was most strongly endorsed (M = 4.33, SD = 0.58), alongside relatively high perceived usefulness (M = 3.97, SD = 0.68), while trust and transparency (M = 3.57, SD = 0.74) and readiness (M = 3.66, SD = 0.90) were moderate to high; privacy and risk concerns were moderate (M = 3.51, SD = 0.77) and self reported exposure was lowest (M = 2.57, SD = 1.07). The highest agreement item indicated preference for AI to work alongside physicians rather than be relied on alone (M = 4.47, SD = 0.81). Trust and transparency and perceived usefulness were positively associated with readiness (r = 0.48 and r = 0.44, respectively; p < .001), while privacy and perceived risks were negatively correlated with trust and usefulness. In multivariable regression adjusting for gender, age group, education, prior AI health app or device use, and self rated digital skill, lower educational attainment (less than high school and high school) predicted reduced readiness, whereas higher digital skill predicted increased readiness (R ² = 0.101). These findings suggest that implementation strategies in Jordan should emphasize human involvement alongside AI, transparent communication and governance, and interventions that build digital confidence and reduce readiness gaps linked to education. Author summary: AI is increasingly used in healthcare, for example to support diagnosis, triage, and treatment decisions. Whether these tools are accepted by patients depends not only on how well they work, but also on whether patients trust them, understand how they are used, and feel their privacy is protected. Evidence on patient views in middle income and resource constrained settings is still limited. We surveyed 500 patients attending hospitals in three Jordanian governorates to understand how they view AI supported care. Patients generally expected AI to be useful, but they strongly preferred that clinicians remain actively involved and that AI supports rather than replaces physicians. Trust and perceived usefulness were closely linked to willingness to accept AI enabled care, while privacy concerns were present and shaped trust. Readiness to accept AI was lower among participants with lower educational attainment and higher among those with greater self rated digital skill. These findings suggest that successful implementation in Jordan should prioritize transparent communication, strong privacy safeguards, and human centered workflows, while also strengthening digital confidence to avoid widening gaps in acceptance.

Background/Objectives: Cystic echinococcosis (CE) remains endemic in many regions worldwide, including Jordan. It is one of the three zoonotic infections caused by the tapeworm of the genus Echinococcus. The epidemiology of CE in Jordan remains poorly defined, with systematic national investigations being absent for the past three decades. International Classification of Diseases (ICD) is a universal coding system for disease archiving within healthcare facilities. This coding system is utilized by the Hakeem program, a health informatics system that includes all Ministry of Health (MOH) hospitals and medical centers in Jordan. In this study, we assessed the frequency, plausibility, internal consistency, and administrative limitations of CE-related ICD codes within the MOH database, which have never been tested, and determined the validity of using the administrative data for epidemiological studies of CE in the future. Methods: A retrospective database study was conducted, using 12 echinococcosis-related ICD codes for electronic health record review. Data were retrieved from the Hakeem program. Unique patient entries recorded between 2010 and 2024 were extracted, and descriptive analytical methods were applied. Results: Over a 15-year period, 45,702 echinococcosis-related entries were reported across 178 healthcare facilities, with Amman accounting for the majority (59.1%) of reported entries. Entry numbers rose in the first 10 years (2010–2019) before a measurable decline and fluctuations in the following 5 years (2020–2024). Entries spanned all age groups, with middle-aged adults being the most frequently reported age group (42.45%). Females accounted for 74.4% of entries, reflecting a marked female predominance among coded entries. The most commonly reported ICD code was B67.8 (unspecified echinococcosis of the liver, 64.22%), followed by B67.5 (Echinococcus multilocularis infection of the liver, 33.57%). Confirmatory diagnostic data could not be extracted from the coding system. As a result, clinical validation could not be performed. Conclusions: The high frequency of echinococcosis-related entries suggests artificial inflation of CE-related codes, along with other data anomalies, reflecting internal inconsistencies and epidemiological implausibility of the administrative data within the Hakeem program. MOH should implement a dual, system-user-level plan to improve CE-related coding in the future.

This study aimed to evaluate medical students’ hand hygiene knowledge at Balqa Applied University. A cross-sectional study was conducted using the World Health Organization Hand Hygiene Knowledge Questionnaire for Health-Care Workers. Knowledge scores were calculated based on correct responses, and independent-samples t-tests were used to examine differences in knowledge scores between groups. A total of 292 medical students participated. The mean knowledge score was 14.5 ± 2.7 out of 25. Most students demonstrated moderate knowledge (70.9%), while 24.0% had poor knowledge and 5.5% had good knowledge. Knowledge scores did not differ significantly by sex, medical year, or routine use of alcohol-based handrub (p > 0.05). However, students who had received formal hand hygiene training or education achieved significantly higher scores (p = 0.023). Overall, medical students demonstrated a moderate level of hand hygiene knowledge, and formal training or education was associated with better knowledge, emphasizing the value of incorporating hand hygiene education and training into medical curricula.