Health Care Centers Research Articles

Green Remodeling: Empirical Study of Thermal Insulation Improvement Remodeling of Public Healthcare Center

This study investigates the energy performance improvement in an aging public healthcare center in South Korea through a comprehensive “Green Remodeling” project. The building, originally constructed in 2001 before the establishment of national energy-saving standards, exhibited substandard insulation performance in its walls, roof, floors, and windows. The remodeling was designed to meet the highest current energy-saving criteria, incorporating advanced insulation techniques and energy-efficient systems. The remodeling process achieved a significant improvement in heating efficiency, with the ECO2 simulation predicting a 50% reduction in energy consumption. However, actual post-remodeling savings were approximately 10%, influenced by factors such as varying occupancy patterns and construction challenges. Despite these obstacles, the project demonstrated the effectiveness of targeted energy-saving measures in enhancing the overall performance of the building. This research underscores the importance of green remodeling as a viable strategy for improving energy efficiency in aging buildings, particularly in the context of South Korea’s carbon reduction goals. This study provides practical insights into the design and implementation of energy-saving technologies, offering a model that can be adapted for similar projects in other contexts.

Implementing an early-life nutrition intervention through primary healthcare: staff perspectives

BackgroundNutrition interventions targeting early childhood can be cost-effective and may provide lifelong, intergenerational benefits. From October 2022 to April 2023 the Nutrition Now (NN) e-learning resource was implemented within Early Childhood Education and Care centres and the Maternal and Child Healthcare Centre (MCHC) in a southern Norwegian municipality. As part of the NN project, the present study aims to explore the MCHC staff’s experiences with implementing the NN resource, to gain insights into measures important to scale up digital early-life nutrition interventions.MethodsThree group interviews were conducted among public health nurses and midwives alongside one individual interview with the department leader of a MCHC in May 2023. An inductive thematic analysis, as described by Braun and Clarke, was conducted to generate the key themes and subthemes regarding the implementation process of NN within the MCHC.ResultsThree main themes were generated: [1] Important resource but not always utilized; [2] Parents are interested but had issues with access; and [3] Staff and stakeholder buy-in and commitment needed from the start. Overall, the staff viewed the NN resource as a potential tool for promoting diet-related topics and believed it could support the guidance they were already providing parents. However, few staff members fully familiarized themselves with the resource. While staff perceived parents as positive when informed about NN, they believed issues such as access challenges, competing platforms, and time constraints reduced parental engagement. Lastly, staff suggested improvements for NN’s implementation, including enhanced training, better planning, assigning champions, and lowering the threshold for access.ConclusionThe findings of this study suggest that the real-world implementation of digital evidence-based health behaviour interventions is feasible but would be enhanced by employing strategies focusing on engagement and utilization.Trial registrationThe main study is registered in the ISRCTN registry with ID ISRCTN10694967, https://doi.org/10.1186/ISRCTN10694967. (Registration date: 19-06-2022).

Effectiveness of Virtual Reality for Managing Pain, Fear, and Anxiety in Children and Adolescents Undergoing Needle-Related Procedures: Systematic Review with Meta-Analysis.

The most frequently performed invasive procedures in hospitals and healthcare centers are needle-related procedures, such as intravenous cannulation and phlebotomy, and they are identified as the major sources of pain, fear, and anxiety in children and adolescents. The objective of this systematic review was to evaluate the effectiveness of VR as a distraction measure to reduce pain, fear, and anxiety in children and adolescents undergoing needle-related invasive procedures. For this purpose, the CINAHL, Scopus, WOS, and Cochrane Library scientific databases were used. The protocol review was registered in PROSPERO (ID:42024563245), and inclusion and exclusion criteria were applied. Twenty-one studies were included in the systematic review, involving a total of 2663 participants. Significant differences favored the use of virtual reality for the control of pain intensity (WBFSpatients p = 0.001; MD = -1.83; 95% CI -2.93 to -0.72; WBFSparents p = 0.0002; MD = -2.61; 95% CI -4.00 to -1.23; WBFSnurses p = 0.0001; MD = -2.71; 95% CI -2.82 to -2.60; VAS/NRS p = 0.001, MD = -0.71; 95% CI -1.13 to -0.28), anxiety (CAMpatient p = 0.02, MD = -2.92; 95% CI -5.45 to -0.38; CAMparents p = 0.01, MD = -3.87; 95% CI -6.99 to -0.75) and fear (CFSpatients p = 0.0005, MD = -1.27; 95% CI -1.99 to -0.56; CFSparents p = 0.0005, MD = -1.33; 95% CI -2.08 to -0.58; and CFSnurses p = 0.04, MD = -1.13; 95% CI -2.24 to -0.03). However, high heterogeneity was noted. The use of virtual reality as a distraction appears to be a valuable strategy for reducing pain, fear, and anxiety during needle-related procedures, although further studies with higher methodological rigor, based on a standardized protocol, are needed.

Mobile Critical Care in Resource-Limited Settings: An Unmet Need.

Care of the critically ill in resource-limited areas, inside or outside the intensive care unit (ICU), is indispensable. Murthy and Adhikari noted that about 70% of patients in low-middle income (LMIC) areas could benefit from good critical care. Many patients in resource-limited settings still die before getting to the hospital. Investing in capacity building by strengthening and expanding ICU capability and training intensivists, critical care nurses, respiratory therapists, and other ICU staff is essential, but this process will take years. Also, having advanced healthcare facilities that are still far from remote areas will not do much to alleviate distance and mode of transportation as barriers to achieving good critical care. This paper discusses the importance of mobile critical care units (MCCUs) in supporting and enhancing existing emergency medical systems. MCCUs will be crucial in addressing critical delays in transportation and time to receive appropriate lifesaving critical care in remote areas. They are incredibly versatile and could be used to transfer severely ill patients to a higher level of care from the field, safely transfer critically ill patients between hospitals, and, sometimes, almost more importantly, provide standalone short-term critical care in regions where ICUs might be absent or immediately inaccessible. MCCUs should not be used as a substitute for primary care or to bypass readily available services at local healthcare centers. It is essential to rethink the traditional paradigm of 'prehospital care' and 'hospital care' and focus on improving the care of critically ill patients from the field to the hospital.

Assessment of Risk Factors for Women with Iron Deficiency Anemia During Pregnancy

Background: Globally, iron insufficiency is the most common nutrient deficiency and the primary cause of anemia. Iron deficiency can result in maternal anemia and decreased infant iron reserves due to increased iron demand during pregnancy. Objective: The study was designed to assess the risk factors encountered during pregnancy among pregnant women with iron deficiency anemia. Materials and Methods: The study was conducted on one hundred pregnant women enrolled on the health care centers who were diagnosed as anemic. The data were obtained from all through direct interviews using a special questionnaire covering the sociodemographic characteristics, diet habits, and supplements taken during pregnancy. The one-way ANOVA test analysis was done to see the association of each variable with the anemia severity. The probability value <0.05 was considered statistically significant. Results: The results indicated that there was no statistically significant relation between iron deficiency anemia and all the socio-demographic characteristics which included; age, parity, educational level, occupation, family size, and gestational age. While there is a highly statistically significant relation between iron deficiency anemia and diet habit of pregnant women regarding the frequency of intake of meats, fishes, vegetables, and fruits at p-value = 0.001, intake pulse at p-value = 0.012, intake of nuts at p-value = 0.021, and drinking tea at p-value = 0.001. Conclusion: Educating pregnant women to eat iron-rich foods may be useful as a strategy for reducing iron deficiency anemia during pregnancy, also using of iron supplements, folic acid and vitamin B12 is regarded as a successful way to treat anemia.

Predicting ICU Readmission from Electronic Health Records via BERTopic with Long Short Term Memory Network Approach.

Background: The increasing rate of intensive care unit (ICU) readmissions poses significant challenges in healthcare, impacting both costs and patient outcomes. Predicting patient readmission after discharge is crucial for improving medical quality and reducing expenses. Traditional analyses of electronic health record (EHR) data have primarily focused on numerical data, often neglecting valuable text data. Methods: This study employs a hybrid model combining BERTopic and Long Short-Term Memory (LSTM) networks to predict ICU readmissions. Leveraging the MIMIC-III database, we utilize both quantitative and text data to enhance predictive capabilities. Our approach integrates the strengths of unsupervised topic modeling with supervised deep learning, extracting potential topics from patient records and transforming discharge summaries into topic vectors for more interpretable and personalized predictions. Results: Utilizing a comprehensive dataset of 36,232 ICU patient records, our model achieved an AUROC score of 0.80, thereby surpassing the performance of traditional machine learning models. The implementation of BERTopic facilitated effective utilization of unstructured data, generating themes that effectively guide the selection of relevant predictive factors for patient readmission prognosis. This significantly enhanced the model's interpretative accuracy and predictive capability. Additionally, the integration of importance ranking methods into our machine learning framework allowed for an in-depth analysis of the significance of various variables. This approach provided crucial insights into how different input variables interact and impact predictions of patient readmission across various clinical contexts. Conclusions: The practical application of BERTopic technology in our hybrid model contributes to more efficient patient management and serves as a valuable tool for developing tailored treatment strategies and resource optimization. This study highlights the significance of integrating unstructured text data with traditional quantitative data to develop more accurate and interpretable predictive models in healthcare, emphasizing the importance of individualized care and cost-effective healthcare paradigms.

Predictors of tobacco use among pregnant women: a large-scale, retrospective study

ObjectiveTo investigate the predictors of smoking among pregnant women in Iran, focusing on health literacy and associated socioeconomic factors.MethodsThis retrospective cohort study included 103,042 pregnant women aged 18–45 years who attended healthcare centers affiliated with Mashhad University of Medical Sciences for routine prenatal and postnatal checkups between 2017 and 2020. Data were collected from the Sina Electronic Health Record System (SinaEHR®), which recorded sociodemographic characteristics, medical history, and lifestyle behaviors, including tobacco use.ResultsSmoking prevalence was 0.9%. Women with undergraduate or higher education had significantly lower odds of smoking (OR = 0.36; 95% CI = 0.28–0.47) compared to those with primary education or less. Maternal age was marginally associated with increased smoking risk (OR = 1.01; 95% CI = 1.00-1.03). While unemployment showed an increased crude risk for smoking, this was not significant after adjustment (adjusted OR = 1.02; 95% CI = 0.86–1.21). Strong associations were found between tobacco use and alcohol consumption (OR = 46.3; 95% CI = 24.8–83.4) and opium addiction (OR = 23.4; 95% CI = 14.5–36.3). Chronic disease history also increased smoking odds (OR = 1.51; 95% CI = 1.17–1.92).ConclusionLower education, substance use, and chronic disease are significant predictors of smoking among pregnant women in Iran. Targeted interventions to improve health literacy and address these factors are essential to reduce tobacco use during pregnancy.

Heart of Care: Embracing Grief and Growth in Oncology and Palliative Medicine

Introduction The emotional impact of patient loss in oncology and palliative care profoundly affects healthcare professionals. This study explores clinicians’ experiences, emotional reactions, and coping mechanisms in these fields, focusing on their professional and personal growth. It aims to provide a comprehensive understanding of how healthcare professionals from different regions and with varying years of experience deal with patient loss, emphasizing cultural, social, and institutional influences on their coping strategies. Methods A mixed-methods approach combined qualitative and quantitative elements. Data were collected using a Microsoft® Forms© survey targeting oncology and palliative care healthcare professionals. The survey included questions on experiences with patient loss, coping strategies, personal and professional growth, and beliefs. Statistical methods and thematic analysis were used to analyse quantitative and qualitative data. Ethical approval was obtained, and the survey ensured participant anonymity and confidentiality. Results The survey received 125 responses from nineteen countries. Emotional reactions to patient loss were significant, with various coping strategies reported, including spiritual practices, self-care, and professional support groups. Personal and professional growth were key outcomes of dealing with patient loss. Themes like Emotional Impact, Coping Mechanisms, and Reflections on Death and Dying were prevalent. Analysis revealed no significant correlation between the time taken by the participants to complete the survey and years of healthcare experience. Conclusion Healthcare professionals in oncology and palliative care face significant emotional challenges due to patient loss. The study emphasizes the importance of diverse and effective coping mechanisms, the supportive role of personal beliefs and workplace environments, and the journey of personal and professional growth amidst these challenges. It highlights the resilience of healthcare workers and underscores the need for supportive systems in managing the emotional aspects of patient care.

A cloud‐based hybrid intrusion detection framework using XGBoost and ADASYN‐Augmented random forest for IoMT

AbstractInternet of Medical Things have vastly increased the potential for remote patient monitoring, data‐driven care, and networked healthcare delivery. However, the connectedness lays sensitive patient data and fragile medical devices open to security threats that need robust intrusion detection solutions within cloud‐edge services. Current approaches need modification to be able to handle the practical challenges that result from problems with data quality. This paper presents a hybrid intrusion detection framework that enhances the security of IoMT networks. There are three modules in the design. First, an XGBoost‐based noise detection model is used to identify data anomalies. Second, adaptive resampling with ADASYN is done to fine‐tune the class distribution to address class imbalance. Third, ensemble learning performs intrusion detection through a Random Forest classifier. This stacked model coordinates techniques that filter noise and preprocess imbalanced data, identifying threats with high accuracy and reliability. These results are then experimentally validated on the UNSW‐NB15 benchmark to demonstrate effective detection under realistically noisy conditions. The novel contributions of the work are a new hybrid structural paradigm coupled with integrated noise filtering, and ensemble learning. The proposed advanced oversampling with ADASYN gives a performance that surpasses all others with a reported 92.23% accuracy.

A descriptive study of the connections between social risk and healthcare utilization with supportive oncology care

Objective This study utilized social risk data in the electronic heath record collected as part of routine clinical practice and examined relationships with supportive oncology care contacts and healthcare utilization. Methods A total of 2,807 cancer patients were screened for four social determinants of health (SDOH) domains (financial resource strain, housing instability, food insecurity, and transportation need) and categorized to low or high risk SDOH groups. The number of patient contacts with supportive oncology was compared amongst the groups. The data were analyzed for demographic and outcome differences including emergency department visits, inpatient admissions, and appointment adherence. Results Heightened social risk was associated with more total contacts with supportive oncology care. Patients with high SDOH risk had more contacts across all outcomes examined including emergency department visits (M = 13), inpatient admissions (M = 14), and missed appointments (M = 11). Conclusions Patients with both greater social risks and acute care utilization are associated with more psychosocial interventions in supportive oncology follow-up. These findings highlight the need for comprehensive action to respond to social risk factors identified in SDOH screening.

Impact of the COVID-19 pandemic on Canadian performing and creative artists: An interpretive descriptive study using the social-ecological model.

Public health restrictions during the Coronavirus-2019 (COVID-19) pandemic in Canada have substantially reduced the work and income of performing and creative artists. We aimed to understand how factors at the public policy, community, organizational, interpersonal and individual levels affected Canadian performing and creative artists' health and livelihood during the pandemic. We interviewed 14 creative and performing artists from an academic hospital-based healthcare center in Toronto, Canada. In addition, we conducted secondary data analysis on an existing set of 17 transcribed interviews from a quality improvement study that included relevant information to answer the present study's research question. We applied an interpretive descriptive approach to our qualitative inquiry and used the social-ecological model (SEM) as our analytic framework. We identified factors at all levels of the SEM that tended to synergistically affect the health and livelihood of artists during the COVID-19 pandemic. Public health restrictions and government financial assistance programs have downstream effects on other levels. During the pandemic, many artists sensed an overwhelming loss of community, financial instability, and limited access to healthcare; which in turn affected their health. For those who accessed financial assistance programs, the stability of income afforded time for rest without the stress of food insecurity or housing instability. Use of the SEM as an analytic framework reflects the multidirectional intricacy and dynamic interplay among factors operating within and across all five levels, bringing to light potential areas of improvement at various levels to strengthen resilience and reduce risk factors associated with artists' health and healthcare access. Findings also accentuated the fragility of precarious work that inundates the performing arts industry, which emphasizes the need for interventions and policies to address this issue. Such interventions might include financial support programs for artists, access to affordable healthcare services, and efforts to strengthen social support networks within the arts community.

Role of leadership styles in escalating the employee productivity: moderating role of knowledge sharing

In the dynamic world, the experience of all kind of professionals is changing; the central role of leadership and transfer the exclusive knowledge among the works has become essential concept. Leaders develop such environment that develops the sense of sharing and collaboration within the organization. The study has set the target to investigate the role of leadership styles (inclusive leadership and authentic leadership) in increase the productivity of employee, to investigation the moderating role of knowledge sharing between leadership styles and employee productivity in the context of Hail health cluster, to find out the theoretical foundation of study. Data is collected with the help of questionnaire developed on the base precious studies. The data of 253 participants were collected from the hospitals of Hail cluster. Further, data is analyzed by using the PLS-SEM. The finding of this study elaborates that authentic leadership has positive and significant relationship with productivity of employee in healthcare center. The result also fount hat inclusive leadership also play important role in enhancing the employee productivity. The knowledge sharing appears as important moderator which performance efficient role to facility the employee with knowledge from leaders. This study has empirical, theoretical and practical contribution in multiple ways. This study expends the understanding of leadership styles with productivity of employees by emphasizing on its dimension authentic leadership and inclusive leadership, instead of merely focusing on general concept of leadership. This study highlights the importance of knowledge sharing in the healthcare sector along with the collaborations of leaders for learning as well as productivity.

Estimation of efficacy of a home monitoring and communication platform to prevent frailty among older adults in Sweden- a pilot study with a randomized controlled trial design

BackgroundThe aging population of the world is increasing. Aging leads to risks for frailty and other chronic diseases and health systems must focus more on prevention to guarantee healthy aging. The primary objective was to estimate the efficacy of the POSITIVE-(The Maintaining and imPrOving the intrinSIc capaciTy Involving Primary Care and caregiVErs) system in improving frailty during a 6-month follow-up period. MethodA randomized controlled, assessor-blinded pilot study (RCT) with 50 individual < 70 years, pre-frail or frail was recruited from a primary care center in Stockholm Region. All participants received a drug review, nutritional recommendations, and a Vivifrail physical exercise program. In addition, the intervention group received POSITIVE including a tablet, an application, and portable measurement devices. The intervention group was monitored remotely by a primary care nurse at the primary health care centre during a six-month follow-up period. ResultsAt baseline there was a significance between the groups regarding the FTS-5 scale, and significantly more obese participants in the intervention group. The drug reviews showed that three of 43 participants got a review and new diseases were discovered. The test of interactions showed a tendency for significant differences over time between the groups in frailty measured by Fried Frailty Phenotype's and FTS-5 scales. ConclusionFrailty status over time in the intervention group not differed significantly from the controls. Including individuals to the project even through a pandemic showing that the design is possible for future studies to show effects of new ways of preventing frailty at home. Trial RegistrationClinicalTrials.gov. Registration number: NCT04592146. October 19, 2020. https://clinicaltrials.gov/ct2/show/NCT04592146?term=positive&draw=2&rank=7

Exploring the Influence of Perceived Social Support on Medication Adherence Among Patients With Chronic Hypertension in 2024: A Cross-Sectional Study From Jeddah, Kingdom of Saudi Arabia.

Background There is no doubt that hypertension is one of the most widespread global health problems, and it is essential to comply with prescribed medications for optimal control. A lack of studies on the effects of perceived social support (PSS) on medication adherence among hypertension patients, especially in Jeddah, Saudi Arabia, made us conduct this study. Methods This was a cross-sectional study that targeted hypertension patients who were visiting primary healthcare centers under the Ministry of Health in Jeddah, Saudi Arabia. The Morisky Green and Levine (MGL) adherence scale and the Multidimensional Scale of Perceived Social Support (MSPSS) were used to assess adherence and perceived social support, respectively. Results The study included 377 hypertensive patients with a mean age of 57 years (SD = 10). The majority were male (n=226, 59.9%) and married (n=261, 69.2%). Educational levels varied, with 148 (39.3%) completing high school and 79 (21%) holding a bachelor's degree or higher. Income distribution showed 166 (44%) earning less than 5,000 SAR and 47 (12.5%) earning over 15,000 SAR. Medication adherence, assessed using the MGL scale, revealed that 121 (32.1%) had low adherence, 206 (54.6%) had moderate adherence, and 50 (13.3%) had high adherence. Perceived social support, measured using the MSPSS scale, indicated that 219 (58.1%) reported high levels of support. A significant association between medication adherence and perceived social support was found (F = 10.293, p < 0.01), with moderate adherers having higher social support scores. Socio-demographic factors influencing adherence included marital status, education level, income, and occupation, with significant associations for each (p < 0.01). Married participants and those with higher education and income levels had greater adherence. Government employees showed the highest moderate adherence while the unemployed and homemakers had lower adherence. No significant associations were found between gender or age and adherence. Conclusion Higher levels of perceived social support,in addition to the influence of socio-demographic factors, are associated with better medication adherence. Targeted interventions addressing these factors could enhance medication adherence and improve health outcomes in this population.

The effects of multifactorial pharmacist-led intervention protocol on medication optimisation and adherence among patients with type 2 diabetes: A randomised control trial.

Patient-related factors and limited medication adherence in patients with chronic diseases, are associated with poor clinical outcomes, long-term complications, and increased overall disease costs. Many methods have been tested with mixed results, and innovative approaches are needed to encourage patients to adhere to their prescribed drug regimens. This randomised controlled trial examined a new multifactorial pharmacist-led intervention protocol (MPIP), including a medication therapy management (MTM) program with face-to-face counselling, patient-specific medication booklets, and a mobile application, from July 2021 to September 2022 in the Oud Al Touba diagnostic and screening ambulatory centre in 192 patients with type 2 diabetes in the United Arab Emirates. Medication adherence was assessed using the fixed medication possession ratio of medication refills and the medication adherence questionnaire. At 12 months follow-up, participants in the MPIP showed significant improvement in overall medication adherence with total (composite) medication possession ratio (MPRt) of mean (±SD) 0.95 (±0.09) compared to 0.92 (± 0.09) in the control group with mean difference of 0.03 (95%, CI 0.01-0.06), P =0.02. In addition, improvement trend was evident in the MPIP group for all medication regimens with P value <0.01. Comparable results were noticeable in adherence questionnaire scores at the end of the study, with 66 participants in the intervention group scored zero on the questionnaire, suggesting high adherence to medication compared to the control group (48 participants only). The MTM program performed 41 clinical interventions on drug-related problems, compared to six interventions in the control group, and the use of mobile application and medication booklet have increased to 45.7% compared to 21.4% before study exit. The pharmacy intervention protocol effectively improved medication adherence and optimised medication regimens in diabetic patients with chronic medication regimens in an ambulatory healthcare centre.

Multidrug Resistant Group B Streptococcus Isolates from Pregnant Women in Delta State, Nigeria.

&lt;b&gt;Background and Objective:&lt;/b&gt; Group B &lt;i&gt;Streptococci&lt;/i&gt; (GBS) are globally recognized as a major risk factor for neonatal infections and various obstetric complications. More so, biofilm formation has been suggested to be important for GBS pathogenesis. The aim of this study was to determine the prevalence and antibiotic susceptibility pattern of GBS among pregnant women and their capacity to form biofilm. &lt;b&gt;Materials and Methods:&lt;/b&gt; A total of 87 pregnant women at 34 to 37 weeks' gestation aged 17-45 years were recruited from 3 healthcare centres in Delta State, Nigeria. Cultures for the isolation of GBS were carried out using recto-vaginal swabs, according to standard microbiological methods. All strains isolated were used for susceptibility tests to various antibiotics as recommended by CLSI using the disk-diffusion method. &lt;b&gt;Results:&lt;/b&gt; The overall prevalence of GBS colonization among pregnant women was 43.6% (38/87). The &lt;u&gt;<&lt;/u&gt;30 age group had the highest rate of GBS colonization. Resistance to erythromycin and vancomycin was 48.2 and 66.4%, respectively. The fluoroquinolones had the lowest resistant rates with no isolate showing resistance to ofloxacin. Multidrug resistance (MDR) (&lt;u&gt;>&lt;/u&gt;3 drug classes) was detected in 73.7% (28/38) of the GBS isolates. All GBS isolated in this study were either strong, moderate or weak biofilm producers. However, most 28 (73.7%) were strong biofilm producers. Resistance of GBS isolates to erythromycin and vancomycin, drugs used for treating GBS infection was high. &lt;b&gt;Conclusion:&lt;/b&gt; This suggested the importance of testing antimicrobial susceptibilities in GBS colonized pregnant women in order to guide antibiotic therapy and minimize newborn infection and co-morbidity.

Vivid London: Assessing the resilience of urban vibrancy during the COVID-19 pandemic using social media data

Since COVID-19, the focus on urban resilience has intensified, particularly on cities' ability to adapt and recover while maintaining essential functions and liveability; however, few studies have examined the resilience of urban vibrancy during such health crises. This study investigates urban vibrancy resilience in Inner London during the COVID-19 pandemic using multi-sourced social media data (geo-tagged Twitter and Flickr). We propose an analytical framework based on space-time permutation scan statistics (STPSS) to identify spatiotemporal urban areas of interest (ST-AOIs), examining their spatial, temporal, and contextual characteristics. Our findings show that central neighbourhoods with transport hubs, educational and healthcare facilities, eateries, and financial centres exhibit greater resilience. These areas adapt by shifting active periods in response to disruptions. Additionally, we assess the varying resilience capacities of different types of points of interest. This research provides actionable insights for urban planners and policymakers by demonstrating how identifying characteristics of robust urban vibrancy can contribute to the resilience of cities and communities, particularly under normal conditions after COVID-19. The findings offer concrete strategies for integrating social media data into urban planning processes, enabling more responsive and adaptive governance that meets the dynamic needs of urban populations.

Cross-sectional study of predictors of infant nutrition knowledge among new mothers in Iraq

Background: Despite recent improvements, infant and young child feeding (IYCF) remains a challenge in Basra, Iraq. Aim: To describe the predictors of IYCF knowledge among new mothers in Basra City, Iraq. Methods: This cross-sectional study collected data on infant nutrition knowledge from 400 new mothers attending 12 primary health care centres in Basra, Iraq, between February and June 2023. Jamovi version 2.3 was used for statistical analyses. Predictive analysis was performed with univariable and multivariable ordinal logistic regression, and the results were reported as crude and adjusted odds ratios with 95% confidence interval. P &lt; 0.05 was considered significant. Results: Most (60%) of the women interviewed were younger than 19 years, married (98%), living in an extended family setting (93%), and in the lowest income level (76%). Age ≤19 was a significant predictor of knowledge about breastfeeding, formula feeding, complementary feeding, water and supplements, and food allergies (adjusted odds ratio range 2.24–5.30). Unemployment and low education status predicted lower knowledge about breastfeeding, complementary feeding, water and supplements, and food allergies, but neither unemployment nor low education status predicted lower knowledge about formula feeding. Receiving information from doctors or healthcare workers and social media or the internet was associated with better maternal IYCF knowledge while receiving information from family and friends predicted poorer knowledge about food allergy and water and supplements. Conclusion: IYCF education in Basra should be improved, with particular attention to healthcare worker-mediated and social media- and family systems-based approaches. Priority should be given to the less educated, younger and unemployed women and those in the lower income group.

Using physical health apps to promote healthy lifestyles in youth mental healthcare: A nationwide perspective-gathering exercise of over 400 service users

Digital technologies have presented a myriad of new solutions for improving cardiometabolic and behavioural health in the general population. However, the ways in which such advances could be applied to address the heightened health-risk behaviours and associated diseases in mental healthcare is unknown. To examine this, 492 young people with mental illness (YPMI) were recruited from 27 Primary Care and NHS mental healthcare sites across the UK, covering various diagnoses (excluding eating disorders). Participants were presented with four types of physical health apps, delivering: 1) Health Tracking; 2) Health Coaching; 3) Health Connections; and 4) Instructional Videos, and completed an online perspective-gathering exercise on the preferred utility, features, behavioural targets of these technologies, and barriers/facilitators to uptake. Results showed a high level of perceived utility across each of the four app types, with physical activity, sleep and diet emerging as preferred behavioural targets. Feedback on ideal app features indicated a need for integrated physical-mental health tracking, and expert-led instructional content/coaching, with less interest expressed towards sharing data with clinical teams. These findings can improve the development, future trials, and clinical implementation of digital lifestyle interventions in mental healthcare, through better accounting for the needs and preferences of YPMI.

Prevalence of Moderate-to-Severe Premenstrual Syndrome or Premenstrual Dysphoric Disorder and Associated Variables Among Young Women in a Tertiary Health Care Center in Eastern India.

Premenstrual dysphoric disorder (PMDD) is a severe form of premenstrual syndrome (PMS) that is predominantly characterized by mood symptoms, and debilitating physical and cognitive symptoms, which have a direct or indirect impact on work efficiency, social and personal relationships, and overall quality of life. This study was conducted to determine the prevalence of moderate to severe PMS and PMDD among young women in India and investigate sociodemographic and other associated factors. We conducted a cross-sectional study that included 198 young women between 17 and 30 years of age who were medical students or nursing staff from a medical college in Eastern India. Data were collected regarding sociodemographic information, menstrual patterns, age of menarche, sexually active status, body mass index, and level of physical activity, which were analyzed to find correlations with moderate to severe PMS or PMDD. The Premenstrual Symptoms Screening Tool was used for diagnosing moderate to severe PMS or PMDD. The data were analyzed using Statistical Product and Service Solutions (SPSS, version 24.0; IBM SPSS Statistics for Windows, Armonk, NY) software. Forty-six (23.5%) respondents were diagnosed with moderate-to-severe PMS, of which four (2%) were diagnosed with PMDD. Among those diagnosed with moderate-to-severe PMS/PMDD, 39 (27.3%) were of the age group 17-24 years, and seven (13.2%) were of the age group 25-30 years, which was a statistically significant difference (p=0.05). Thirty-eight (30.6%) students were diagnosed with moderate-to-severe PMS, as compared to eight (11.1%) working professionals, which was also a statistically significant difference. Moderate-to-severe PMS significantly impacts quality of life. Considering its prevalence among young subjects, it is important to make young girls aware of the condition and educate them regarding various ways to manage their symptoms.