Patient Health Research Articles

Using Federal, State, and Grassroots Advocacy to Effect Change in Cancer Care Delivery and Patient Outcomes in the United States.

Health policy influences health and well-being for patients with cancer. Advocating for evidence-based health policies that aim to prevent cancer, promote health, and improve efficiencies in the health care system is crucial to improving care delivery and cancer outcomes nationwide. The role of the ASCO's Government Relations Committee (GRC) is to advocate for policies at a federal and state level that promote high-quality and equitable cancer care, and ASCO volunteer engagement is critical for the success of creating, changing, and adopting policies that support patients with cancer and their care team. Cancer care professionals are uniquely positioned to advocate at all levels of government, local, state, and federal and to serve as invaluable resources for lawmakers as they work to implement policy changes. Lawmakers are highly responsive to cancer care providers as most lawmakers have family or friends who have been diagnosed with cancer. Multiple advocacy strategies that are effective and efficient in their approach have been used, making advocating feasible for cancer care professionals' busy schedule. To improve patient care, ASCO's GRC and ASCO volunteers advocate for increased federal funding for research, greater health care access, value in cancer care, and payment reform. ASCO's GRC has many programs in place to support ASCO members interested in engaging in advocacy to improve the quality of care for their patients and the support for cancer care professionals to thrive in the field.

Understanding social determinants of health and physical therapy outcomes in patients with low back pain: A scoping review.

Low back pain (LBP) is the number one cause of disability worldwide; however, it is not clear how social determinants of health (SDOH) impact care management and outcomes related to physical therapy (PT) services for patients with LBP. The purposes of this scoping review are to examine and assimilate the literature on how SDOH and PT care relate to non-specific LBP outcomes and identify gaps in the literature to target for future research. Data were extracted from eight electronic databases from January 2011 to February 2022. Reviewers independently screened all studies using the PRISMA extension for scoping review guidelines. Data related to study design, type of PT, type of non-specific LBP, patient demographics, PT intervention, SDOH, and PT outcomes were extracted from the articles. A total of 30,523 studies were screened, with 1961 articles undergoing full text review. Ultimately, 76 articles were identified for inclusion. Sex and age were the most frequent SDOH examined (88% and 78% respectively) followed by education level (18%). Approximately half of the studies that examined age, sex, and education level identified no effect on outcomes. The number of studies examining other factors was small and the types of outcomes evaluated were variable, which limited the ability to pool results. Sex and age were the most frequent SDOH examined followed by education level. Other factors were evaluated less frequently, making it difficult to draw conclusions. Study design and heterogeneity of determinants and outcomes were barriers to examining the potential impact on patients with LBP.

Vestibular Schwannoma Management: Patient Perspectives and Health Literacy

Objective: To assess medical decision-making, reasons for attrition, and health literacy among vestibular schwannoma (VS) patients last seen in clinic more than 2 years ago. Study Design: Survey. Setting: Tertiary skull base center. Patients: Adults with sporadic VS last evaluated more than 2 years ago. Methods: Survey including Brief Health Literacy Screen (BHLS), a validated 3-question measure of health literacy, and open-ended questions on care; retrospective chart review. Main Outcome Measures: BHLS score, patient reasons for attrition. Results: Of 1011 patients contacted, 205 (20.3%) patients responded and met all criteria for analysis. At initial evaluation, mean patient age was 50.6 ± 12.8 years, roughly half (51.4%) were female, and the majority (80.2%) identified as White. At the time of the survey, 48 (23%) continued to observe their tumor. The remaining 160 (76.9%) patients previously underwent treatment (surgery and/or radiation). Of those treated, 34 (21.3%) underwent intervention elsewhere. Symptoms since the last patient visit did not differ between observed and treated patients. About 94.7% of the cohort displayed high health literacy (BHLS > 9), though rates of inadequate health literacy were higher among observed patients (12.5% versus 3.1% in those treated). The most common reasons for opting not to follow-up included counseling issues, personal decisions, and social/life stressors (including the COVID-19 pandemic). Conclusions: Despite being a highly health-literate cohort, patients cited multiple reasons for attrition. Regardless of whether they were observed or treated, patients described follow-up visits as burdensome and perceived them to be of minimal benefit.

An Argument for Decentralized Clinical Trials in Gynecologic Oncology

To evaluate factors that may influence clinical trial enrollment, we compared demographics, clinical characteristics, and patient-reported social determinants of health for patients with advanced ovarian cancer who were approached for enrollment in a prehabilitation trial. Although no significant differences were found in the majority of demographic and clinical characteristics, distance to study institution was associated with decision to enroll; 21.9% of enrolled compared with 42.2% of not enrolled patients lived 200 miles or more from the study institution (P< .05). In addition, compared with not enrolled patients, enrolled patients were more likely to be receiving neoadjuvant chemotherapy within the study institution compared with a nonstudy institution clinician (81.2% vs 53.1%, P=.02). These findings highlight barriers to enrollment that can be addressed through decentralization of clinical trials.

Mental health after the COVID-19 pandemic among Finnish youth: a repeated, cross-sectional, population-based study

High levels of mental health problems among young people were reported during the COVID-19 pandemic, but studies of the post-pandemic period are scarce. We assessed mental health problems among Finnish youth before, during, and after the COVID-19 pandemic using nationwide population-based samples. Our aim was to examine in which direction the heightened levels of adolescent mental health problems have developed after the pandemic. In this national, repeated cross-sectional, population-based study in Finland, we recruited students at lower and upper secondary level (aged 13-20 years) who were taking part in the Finnish School Health Promotion (SHP) survey in 2015-23 (119 681-158 897 participants per round). The SHP is based on total sampling and conducted biennially between March and May. Self-reports covered the seven-item Generalized Anxiety Disorder Scale; the two-item Patient Health Questionnaire for depression; the Mini Social Phobia Inventory for social anxiety; the Short Warwick-Edinburgh Mental Wellbeing Scale for mental wellbeing; loneliness; the Sick, Control, One Stone, Fat, Food measure for disordered eating; and suicidality (suicidal ideation, deliberate self-harm, and suicide attempts). Scales were dichotomised using validated cutoffs. Presence of any and comorbid mental health problems was assessed. Logistic (for dichotomised outcomes) and linear (for Short Warwick-Edinburgh Mental Wellbeing Scale) mixed effects models were used to analyse the effect of survey year on mental health, controlling for sociodemographic background factors and stratified by gender and school level. Cisgender and transgender youth were compared. Between 2015 and 2023, the SHP study recruited 722 488 students (371 634 [51·6%] girls and 348 857 [48·4%] boys) with a mean age of 15·8 years (SD 1·3) who were either in the eighth and ninth grades of comprehensive school or the first and second years of general and vocational upper secondary schools in Finland. The proportion of participants with generalised anxiety, depression, and social anxiety symptoms above the cutoff increased from pre-COVID-19 levels to 2021 and remained at these higher levels in 2023 among all study groups. Among girls in lower secondary education, prevalence of generalised anxiety, depression, and social anxiety symptoms increased from 2021 to 2023, as did social anxiety among girls in upper secondary education. Among boys, the proportion with social anxiety symptoms decreased between 2021 and 2023. Mental wellbeing scores decreased in all groups between 2021 and 2023, and disordered eating increased in girls, and in boys in lower secondary education. Suicidality increased in girls but not in boys. Loneliness was the only measure to show improvement in all groups from 2021 to 2023. In 2023, 55 895 (72·6%) of 76 994 girls and 22 718 (32·8%) of 69 205 boys reported at least one mental health problem, and 37 250 (48·4%) girls and 9442 (13·6%) boys reported comorbid mental health problems. Among both transfeminine and transmasculine youth, the prevalence of generalised anxiety and depression symptoms decreased from 2021 to 2023, but compared with cisgender youth, the proportions were significantly higher throughout. The effects of the COVID-19 pandemic on youth mental health could be long lasting. In this study, the substantial change for the better among transgender youth was a positive exception. Providing adequate support and treatment for young people with poor mental health is essential, but solutions to the mental health crisis need to address a wider societal perspective and should be developed in partnership with young people. NordForsk, Research Council of Finland. For the Finnish and Swedish translations of the abstract see Supplementary Materials section.

Resuscitation for out-of-hospital cardiac arrest in Ireland 2012–2020: Modelling national temporal developments and survival predictors

AimTo explore potential predictors of national out-of-hospital cardiac arrest (OHCA) survival, including health system developments and the COVID pandemic in Ireland. MethodsNational level OHCA registry data from 2012 through to 2020, relating to unwitnessed, and bystander witnessed OHCA were interrogated. Logistic regression models were built by including predictors through stepwise variable selection and enhancing the models by adding pairwise interactions that improved fit. Missing data sensitivity analyses were conducted using multiple imputation. ResultsThe data included 18,177 cases. The final model included seventeen variables. Of these nine variables were involved in pairwise interactions. The COVID-19 period was associated with reduced survival (OR 0.61, 95%CI 0.43, 0.87), as were increasing age in years (OR 0.96, 95% CI 0.96, 0.97) and call response interval in minutes (OR 0.97, 95% CI 0.96, 0.99). Amiodarone administration (OR 3.91, 95% CI 2.80, 5.48), urban location (OR 1.40, 95% CI 1.12, 1.77), and chronological year over time (OR 1.14, 95% CI 1.08, 1.20) were associated with increased survival. ConclusionsNational survival from OHCA has significantly increased incrementally over time in Ireland. The COVID-19 pandemic was associated with decreased survival even after accounting for potential disruption to key elements of bystander and EMS care. Further research is needed to understand and address the discrepancy between urban and rural OHCA survival. Information concerning pre-event patient health status and inpatient care process may yield important additional insights in future.

Designing a Care System based on the Internet of Things for Patients with Multiple Sclerosis

Abstract: Multiple sclerosis (MS) is a neurodegenerative disease that is a major health problem. This issue requires the development of new tools to control patients' activity and reduce care costs. The monitoring system based on the Internet of things is a suitable solution for this concern. In this study, the researchers developed a tool that uses an Arduino board and four accelerometer sensors, heart rate and pulse oximetry sensors, temperature sensors, and Bluetooth modules to monitor the factors related to the health of multiple sclerosis patients. In this method, the information obtained from the sensors connected to the patient's body is placed on the memory board and displayed with the help of an LCD. In the next step, the Bluetooth module transmits the information obtained from these sensors to a mobile application. This application has the ability to share and store information. This information, together with the date display on the LCD, in addition to notifying the person of the resulting changes; it is also sent periodically to the doctor. In general, this tool, together with a mobile device, helps to increase the selfcare of patients, increases the interaction between the patient and the doctor, reduces the frequeI. nt visits of patients to care centers, and helps to improve the quality of life of patients..

Smart Autonomous Nurse Assistant Robot (SANAR)

Abstract: In the evolving landscape of healthcare, the integration of innovative technologies has become paramount to enhance efficiency, accessibility, and usability across all sectors, particularly in the medical industry. This project proposes the development of a Smart Autonomous Nurse Assistant Robot (SANAR) aimed at revolutionizing medical care delivery, especially during emergencies and pandemics like Covid-19. SANAR utilizes cutting-edge technology to streamline disease diagnosis, monitor patient health in real-time, and facilitate drug delivery. The core of SANAR's functionality lies in its utilization of a health tracker system-based IoT platform, which continuously analyzes vital patient data, including oxygen levels, pulse rate, and temperature. Through simple text commands and a timer-based medicine scheduler, SANAR ensures timely medication administration, leveraging a cloud server for seamless data access and management with utmost security. Equipped with advanced sensors such as oximeter, heartbeat, ultrasonic sensors, and a voice module, SANAR leverages Internet of Things (IoT) technology to enable data storage and retrieval over HTTP and MQTT protocols, facilitating connectivity and scalability. The primary goal of this project is to democratize smart automation in healthcare, making it accessible and affordable to all segments of society, ultimately empowering medical staff to deliver efficient and effective care.

Comparison and Influence of a Multicomponent Educational Program on the Patient-Reported Outcomes of a Group of Patients With Rheumatoid Arthritis.

Rheumatoid arthritis (RA) is a chronic disease that affects different areas of the patient's body. Patient education and health literacy is essential for them to participate actively in follow-up. The aim of this study was to assess differences between clinimetric measurements done by a medical team and patient-reported outcome measures (PROMs) in RA and understand the impact of patient education strategies in order to identify differences between RA assessment methods. This is a longitudinal cohort study. It included adult patients with RA and access to digital tools. These were divided into 3 groups by type of education. Group 1 included patients who participated in a multicomponent RA educational program. Group 2 did not have this multicomponent RA education. Group 3 did not receive any education. The 3 groups performed PROMs. Disease activity scales, functional class, and quality of life were measured. Univariate and bivariate analysis (χ2 and Wilcoxon for paired data) were done. Twenty-eight patients were included in group 1, 26 in group 2, and 37 in group 3. All were women. In group 1, there were no significant differences in clinimetrics between the medical team and patient's PROMs except for fatigue. In group 2 and group 3, significant differences were found. The RAPID3 and PAS variables did not show significant differences when analyzed by intervention subgroups. This study shows no differences between clinimetrics/PROMs for patients with a high-level education on RA and physicians. On the other hand, when patient did not have any RA education, the clinimetric results differed from physician measurement.

The implications of cardiac device cybersecurity responsibilities and challenges faced by policymakers, manufacturers, and patients.

As digital health expands, reliance on digital endpoints is rapidly increasing to improve diagnostic accuracy and management in the healthcare field. Digital endpoints are beneficial to monitor how patient's clinical information is processed outside of a clinical setting. Implications of cardiac digital endpoints play a role in allowing patients to track their clinical data outside of a clinical setting. Advances in cardiac digital endpoints involve advanced devices and implants, trackers, and artificial intelligence. We will explore further digital endpoints within cardiology and threats as well as security concerns for policies to focus on the maintenance of safe patient health data analysis, transmission, and processing. As digital endpoints evolve and expand, policymakers must ensure there is adequate cybersecurity surrounding them. We believe guidelines should be in place to make sure data is accessed solely on a secure connection and access to digital literacy for patients should be readily available.

Relations Between Social Camouflaging, Life Satisfaction, and Depression Among Polish Women with ADHD.

This study investigated the relationship between social camouflaging, life satisfaction, and depression symptoms in Polish women with ADHD. It aimed to fill a research gap in understanding ADHD manifestations in women, particularly focusing on social camouflaging-a concept known in autism, referring to strategies used to mask symptoms in social interactions. A total of 329 women with ADHD took part in an online survey. The survey measured ADHD symptoms using the ADHD Self Report Scale (ASRS-vI.I), life satisfaction with the Satisfaction With Life Scale (SWLS), and depressive symptoms using the Patient Health Questionnaire-9 (PHQ-9). Additionally, a novel set of questions, inspired by the Camouflaging Autistic Traits Questionnaire (CAT-Q) but tailored for ADHD, was utilized to assess social camouflaging. Results indicated a significant negative association between social camouflaging and life satisfaction and a positive correlation with depressive symptoms, even after controlling for demographic variables. Additionally, factors like being in a relationship and having a positive subjective financial situation correlated with higher well-being. Reliance on self-report measures, the cross-sectional design, and participants' self-reported ADHD diagnosis are the main limitations of the study. The research underscores the importance of social camouflaging in understanding ADHD in women, suggesting that efforts to mask symptoms and meet societal expectations may link to lower life satisfaction and increased depressive symptoms. These findings advocate for continued research into these dynamics to develop more effective support for women with ADHD.

Cost-Effectiveness of Digital Mental Health Versus Usual Care During Humanitarian Crises in Lebanon: Pragmatic Randomized Trial

Background There is evidence from meta-analyses and systematic reviews that digital mental health interventions for depression, anxiety, and stress-related disorders tend to be cost-effective. However, no such evidence exists for guided digital mental health care in low and middle-income countries (LMICs) facing humanitarian crises, where the needs are highest. Step-by-Step (SbS), a digital mental health intervention for depression, anxiety, and stress-related disorders, proved to be effective for Lebanese citizens and war-affected Syrians residing in Lebanon. Assessing the cost-effectiveness of SbS is crucial because Lebanon’s overstretched health care system must prioritize cost-effective treatment options in the face of continuing humanitarian and economic crises. Objective This study aims to assess the cost-effectiveness of SbS in a randomized comparison with enhanced usual care (EUC). Methods The cost-effectiveness analysis was conducted alongside a pragmatic randomized controlled trial in 2 parallel groups comparing SbS (n=614) with EUC (n=635). The primary outcome was cost (in US $ for the reference year 2019) per treatment response of depressive symptoms, defined as >50% reduction of depressive symptoms measured using the Patient Health Questionnaire (PHQ). The secondary outcome was cost per remission of depressive symptoms, defined as a PHQ score <5 at last follow-up (5 months post baseline). The evaluation was conducted first from the health care perspective then from the societal perspective. Results Taking the health care perspective, SbS had an 80% probability to be regarded as cost-effective compared with EUC when there is a willingness to pay US $220 per additional treatment response or US $840 per additional remission. Taking the wider societal perspective, SbS had a >75% probability to be cost-saving while gaining response or remission. Conclusions To our knowledge, this study is the first cost-effectiveness analysis based on a large randomized controlled trial (n=1249) of a guided digital mental health intervention in an LMIC. From the principal findings, 2 implications flowed, from the (1) health care perspective and (2) wider societal perspective. First, our findings suggest that SbS is associated with greater health benefits, albeit for higher costs than EUC. It is up to decision makers in health care to decide if they find the balance between additional health gains and additional health care costs acceptable. Second, as seen from the wider societal perspective, there is a substantial likelihood that SbS is not costing more than EUC but is associated with cost-savings as SBS participants become more productive, thus offsetting their health care costs. This finding may suggest to policy makers that it is in the interest of both population health and the wider Lebanese economy to implement SbS on a wide scale. In brief, SbS may offer a scalable, potentially cost-saving response to humanitarian emergencies in an LMIC. Trial Registration ClinicalTrials.gov NCT03720769; https://clinicaltrials.gov/ct2/show/NCT03720769 International Registered Report Identifier (IRRID) RR2-10.2196/21585

Mental Health and Substance Use Disorders in Transplant Waitlist, VAD, and Heart Transplant Patients: A TriNetX Database Analysis

Background/Objectives: Mental health and substance use disorders (MHDs and SUDs) affect cardiac allograft and VAD recipients and impact their quality of life and compliance. Limited research currently exists on MHDs and SUDs in this population. Methods: This study compares the incidence of MHDs and SUDs in the transplant list, VAD, and post-transplant patients with that in heart failure patients. Study cohorts were derived from the TriNetX database using ICD-10 codes. Differences in incidence were examined using the log-rank test. Adults with MHDs and SUDs before the window of time were excluded. All comparisons were made between propensity-matched cohorts. Statistical significance was set at p < 0.05. Results: Transplant waitlist patients showed a significant increase in the incidence of anxiety, depression, panic, adjustment, mood, alcohol use, and eating disorders. Post-transplant patients showed a significant increase in depression and opioid use. VAD patients showed a significant increase in depression and a decrease in panic disorder and anxiety. These results allow for further investigations on prevention and coping strategies. Conclusions: The deterioration of mental health can significantly impact medication compliance, survival, and quality of life. Opioid use for pain management in the early postoperative period should be further investigated to assess its impact on long-term substance use and addiction.

Sustainable Hospital Waste Management Practices in the Western Province of Sri Lanka: Problems and Prospects

Ensuring the sustainability of hospital waste management practices has become a burning issue. Due to the growing population coinciding with rapid urbanization and industrialization, practicing sustainable methods of medical waste management is an urgent requirement. Like other developing countries, Sri Lanka also faces various difficulties when dealing with high-risk hospital waste material, spreading diseases rapidly and making the environment unclean. Thus, moving towards sustainable hospital waste management has received urgent attention. The primary purpose of this study is to explore whether the existing hospital waste management practices are sustainable. Further, this study identifies weaknesses of the existing waste management practices and examines factors affecting Sustainable Hospital Waste Management (SHWM) in the Western province of Sri Lanka. Data were collected from 18 officers involved in waste management from 14 government hospitals in the western province. Both inductive and deductive thematic analyses were used to explore whether the hospital waste management practices are sustainable. The study revealed that most selected hospitals failed to achieve sustainability in waste management practices. Achieving sustainability of waste management practices has become a challenge to government hospitals due to financial constraints, limited facilities and infrastructure, lack of social support, and poor management and administration. Patient mindset and health capacity, positive attitudes, knowledge, awareness, and experience, training on hospital waste management, availability of basic infrastructure and resources, financial facilities for hospital waste management, availability of rules and regulations, and intra and inter-organizational supports significantly affect sustainable hospital waste management. Exploring the sustainability of waste management practices using empirical data related to Sri Lanka is an initial attempt in the sustainable hospital waste management literature. Finally, policy measures are suggested for sustainable hospital waste management in Sri Lanka.

Temporomandibular disorder and somatic symptoms: Relations to 'fear of missing out' and other negative emotional states.

The association between the 'fear of missing out (FOMO)' and physical symptoms has not been widely explored. This study aimed to investigate the relationship between FOMO and other negative emotions with Temporomandibular disorder (TMD) and somatic symptoms in young adults. The correlations between the various physical and emotional variables were also established. TMD and somatic symptoms were appraised with the Short-form Fonseca Anamnestic Index, quintessential five TMD symptoms of the Diagnostic Criteria (DC)/TMD, and Patient Health Questionnaire-15. FOMO and other negative emotional states were assessed with the FOMO Scale and Depression, Anxiety, Stress Scales-21 (DASS-21). Data were evaluated using non-parametric tests/correlation and regression analysis (α = 0.05). While only negative affectivity (total DASS), anxiety, and stress differed significantly between those without and with TMDs, significant variances in FOMO and all DASS-21 constructs were discerned between individuals without and with somatization. Conclusions: Individuals with orofacial pain and more severe somatic symptoms have higher levels of negative emotions including FOMO. While somatization increased the prospect of TMDs, being female, presence of TMDs, and negative affectivity were risk factors for somatization in young adults. Asian young adults appear to be disposed to somatization, and TMDs may be a form of functional somatic syndromes. Recognition of somatic symptoms and emotional distress, including FOMO, is essential for person-centric TMD care.

Mobile Mindfulness Intervention for Psychological Distress Among Intensive Care Unit Survivors: A Randomized Clinical Trial.

Although psychological distress is common among survivors of critical illness, there are few tailored therapies. To determine the optimal method for delivering a mindfulness intervention via a mobile app for critical illness survivors. This randomized clinical trial used a 2 × 2 × 2 factorial design and was conducted at 3 sites among survivors of critical illness with elevated postdischarge symptoms of depression. The study was conducted between August 2019 and July 2023. Participants were randomized to 1 of 8 different groups as determined by 3 two-level intervention component combinations: intervention introduction method (mobile app vs therapist call), mindfulness meditation dose (once daily vs twice daily), and management of increasing symptoms (mobile app vs therapist call). The primary outcome was the 9-item Patient Health Questionnaire (PHQ-9) depression scale score (range, 0-27) at 1 month. Secondary outcomes included anxiety (7-item Generalized Anxiety Disorder) and posttraumatic stress disorder (Posttraumatic Stress Scale) symptoms at 1 and 3 months, adherence, and feasibility. General linear models were used to compare main effects and interactions of the components among intervention groups. A formal decisional framework was used to determine an optimized intervention version. A total of 247 participants (mean [SD] age, 50.2 [15.4] years; 104 [42.1%] women) were randomized. Twice-daily meditation compared with once-daily meditation was associated with a 1.2 (95% CI, 0.04-2.4)-unit lower mean estimated PHQ-9 score at 1 month and a 1.5 (95% CI, 0.1-2.8)-unit lower estimated mean score at 3 months. The other 2 intervention components had no main effects on the PHQ-9. Across-group adherence was high (217 participants [87.9%] using the intervention at trial conclusion) and retention was strong (191 [77.3%] and 182 [73.7%] at 1 and 3 months, respectively). A mindfulness intervention for survivors of critical illness that included an app-based introduction, twice-daily guided meditation, and app-based management of increasing depression symptoms was optimal considering effects on psychological distress symptoms, adherence, and feasibility. ClinicalTrials.gov Identifier: NCT04038567.

Cross-sectional study of prevalence and correlates of fear of falling in the older people in residential care in India: the Hyderabad Ocular Morbidity in Elderly Study (HOMES)

ObjectiveTo report the prevalence and risk factors for the fear of falling (FOF) among older individuals living in residential care facilities in India.DesignCross-sectional study.SettingHomes for the aged centres in Hyderabad,...

The predicting factors of chronic pain among nursing students: a national study in Iran

BackgroundNursing students are faced with a variety of challenges that demand effective cognitive and emotional resources. The physical and psychological well-being of the students plays a key part in the public health of the community. Despite the special lifestyle of nursing students, few studies have addressed chronic pain in this population. Accordingly, the present study aims to identify the predictors of chronic pain among nursing students.MethodsThis cross-sectional study was conducted on 1,719 nursing students aged 18–42 years, between February and November 2019. Sampling was carried out in several stages. Data were collected using seven instruments, namely a demographics survey, the characteristics of chronic pain form, Spielberger State-Trait Anxiety Inventory (STAI), the Patient Health Questionnaire-9 (PHQ-9), the Bar-on Emotional Quotient Inventory, Academic Satisfaction Scale, and Procidano and Heller Social Support Scale. Descriptive statistics, multinomial logistic regression, and regression models were used to describe the characteristics of the pain and its predictive factors.ResultsThe average age of the participants was 22.4 ± 2.96 years. The results of univariate analysis showed that gender (P = 0.506), mother’s education (P = 0.056, P = 0.278, P = 0.278), father’s education (P = 0.817, P = 0.597, P = 0.41), place of residence (P = 0.215), depression (P = 0.501), grade point average (P = 0.488), academic satisfaction (P = 0.183) and chronic pain weren’t significantly correlated with chronic pain in nursing students. The results of the multiple logistic regression models showed that chronic pain was positively correlated with age, social support, state anxiety, and trait anxiety (OR = 1.07, 95% CI: 1.02–1.12; OR = 0.95, 95% CI: 0.93–0.97; OR = 1.03, 95% CI: 1.02–1.05; and OR = 1.97, 95% CI: 0.95–1.99; respectively).ConclusionThe prevalence of chronic pain was relatively high in these students. In addition, age, social support, and anxiety could be important factors in the development or persistence of chronic pain in nursing students. The results also provided basic and essential information about the contributing factors in this area. However, consideration of factors such as referral for treatment, home medications for pain relief, and outcomes of chronic pain are suggested in future longitudinal studies.

Prediction of Positive Patient Health Questionnaire-2 Screening Using Area Deprivation Index in Primary Care.

Depression is recognized as a significant public health issue in the United States. The National Survey on Drug Use and Health reports that 21.0 million adults aged 18 or older had major depressive disorder in 2020, including 14.8 million experiencing a major depressive episode with severe impairment. The aim is to predict the positivity of Patient Health Questionnaire-2 (PHQ-2) outcomes among patients in primary care settings by analyzing a range of variables, including socioeconomic status, demographic characteristics, and health behaviors, thereby identifying those at increased risk for depression. Employing a machine learning approach, the study utilizes retrospective data from electronic health records across 15 primary care clinics in South Florida to explore the relationship between social determinants of health (SDoH), including area of deprivation index (ADI) and PHQ-2 positivity. The study encompasses 15 primary care clinics located in South Florida, where a diverse patient population receives care. Analysis included 94,572 patient visits; 74,636 records were included in the study. If a zip+4 was not available or an ADI score did not exist, the visit was not included in the final analysis. Screening involved the PHQ-2, assessing depressed mood and anhedonia, with a cutoff >2 indicating positive screening. ADI was used to assess SDoH by matching patients' residential postal codes to ADI national percentiles. Demographics, sexual history, tobacco use, caffeine intake, and community involvement were also evaluated in the study. Over 40 machine learning algorithms were explored for their accuracy in predicting PHQ-2 outcomes, using software tools including Scikit-learn and stats models in Python. Variables were normalized, scored, and then subjected to predictive regression models, with Random Forest showing outstanding performance. Feature engineering and correlation analysis identified ADI, age, education, visit type, coffee intake, and marital status as significant predictors of PHQ-2 positivity. The area under the curve and model accuracies varied across clinics, with specific clinics showing higher predictive accuracy and others (p > .05). The study concludes that the ADI, as a proxy for SDoH, alongside other individual factors, can predict PHQ-2 positivity. Health organizations can use this information to anticipate health needs and resource allocation.

Investigating changes in student mental health and help-seeking behaviour after the introduction of new well-being support services at a UK university.

Growing numbers of students now seek mental health support from their higher education providers. In response, a number of universities have invested in non-clinical well-being services, but there have been few evaluations of these. This research addresses a critical gap in the existing literature. This study examined the impact of introducing non-clinical well-being advisers on student mental health and help-seeking behaviour at a large UK university. Survey data collected pre-post service introduction in 2018 (n = 5562) and 2019 (n = 2637) measured prevalence of depression (Patient Health Questionnaire-9), anxiety (Generalised Anxiety Disorder-7), and low mental well-being (Warwick-Edinburgh Mental Wellbeing Scale), alongside student support-seeking behaviour. Logistic regression models investigated changes in outcome measures. Administrative data (2014-2020) were used to investigate corresponding trends in antidepressant prescribing at the onsite health service, student counselling referrals and course withdrawal rates. Adjusted models suggested reductions in students' levels of anxiety (odds ratio 0.86, 95% CI 0.77-0.96) and low well-being (odds ratio 0.84, 95% CI 0.75-0.94) in 2019, but not depression symptoms (odds ratio 1.05, 95% CI 0.93-1.17). Statistical evidence showed reduced student counselling referrals, with antidepressant prescribing and course withdrawal rates levelling off. Student perception of the availability and accessibility of university support improved. Our findings suggest a non-clinical well-being service model may improve student perception of support, influence overall levels of anxiety and low well-being, and reduce clinical need. The current study was only able to examine changes over the short term, and a longer follow-up is needed.