Health Care Centers Research Articles

Prevalence and clinical correlates of nonmotor symptoms in Parkinson's disease in a tertiary health-care center in Turkey.

The objective was to determine the prevalence and clinical correlates of nonmotor symptoms in Parkinson's disease patients in movement disorders outpatient clinics. We enrolled all consecutive PD patients who visited our movement disorders outpatient clinics between January and December 2023; and agreed to participate in the study. In addition to the evaluation of demographic and clinical features, clinical scales, including the MDS-UPDRS, NMSS, and FOOGQ, were performed. Overall, we enrolled 163 PD subjects with a mean age of 63.9 ± 10.4 (F/M = 27/136). The disease duration was 3.5 (20) y [median (range)]. The median score of the NMSS was 41 points. The NMSs burden levels were severe in 25.2%, and very severe in 25.2% of the subjects. The subitems with the highest scores were sleep/fatigue, mood/cognition, urinary, and miscellaneous. The analyses within the patient group with newly diagnosed PD also revealed high NMSS scores. Comparisons of the NMSS between distinct PD stages revealed greater NMSS scores in the severe stage than in the mild stage (p = 0.001). Correlation analyses between the clinical scores and the NMSS scores revealed positive correlations between the NMSS scores and the scores on all the clinical scales including the MDS-UPDRS 1-4, and FOGQ. We reported the first data regarding the NMS burden in PD patients from Turkey. We found a high prevalence and severity of various domains of NMSs, most of which were sleep/fatigue, mood/cognition, urinary, and miscellaneous. More than half of the patients had severe to very severe NMS burden. Although NMSs were more common severe-stage disease, they were also prevalent in the subgroup with newly diagnosed patients.

Tackling unmanaged oropharyngeal dysphagia in primary care: a behavioural science realist review of interventions

IntroductionOropharyngeal dysphagia (OD) is difficulty manipulating a food bolus from the mouth to the throat. Up to 70% of older adults develop OD; however, it is unmanaged in primary care,...

Transition of patients with Gaucher disease type 1 from pediatric to adult care: results from two international surveys of patients and health care professionals

IntroductionGaucher disease (GD) is a rare, autosomal recessive lysosomal storage disorder caused by a deficiency in the enzyme glucocerebrosidase. The most common subtype in Europe and the USA, type 1 (GD1), is characterized by fatigue, cytopenia, splenomegaly, hepatomegaly, bone disease, and rarely pulmonary disease. Increased life expectancy brought about by improved treatments has led to new challenges for adolescents and their transition to adult care. Efficient healthcare transition to adult care is essential to manage the long-term age-related complications of the disease.MethodsThis international study consisted of two online surveys: one survey for patients with GD1 and one survey for healthcare professionals (HCPs) involved in treatment of patients with GD1. The aims of this international, multi-center project were to evaluate the current transition process in various countries and to understand the challenges that both HCPs and patients experience.ResultsA total of 45 patients and 26 HCPs took part in the survey, representing 26 countries. Our data showed that a third (11/33) of patients were aware of transition clinics and most stated that the clinic involved patients with metabolic diseases or with GD. Seven patients attended a transition clinic, where most patients (5/7) received an explanation of the transition process. Approximately half of HCPs (46%; 12/26) had a transition clinic coordinator in their healthcare center, and 10 of HCPs had a transition clinic for patients with metabolic diseases in their healthcare center. HCPs reported that transition clinics were comprised of multi-disciplinary teams, with most patients over the age of 18 years old managed by hematology specialists. The main challenges of the transition process reported by HCPs included limited funding, lack of expertise and difficulty coordinating care amongst different specialties.DiscussionOur study demonstrates the lack of a standardized process, the need to raise awareness of transition clinics amongst patients and the differences between the transition process in different countries. Both patients and HCPs expressed the need for a specialist individual responsible for transition, efficient coordination between pediatricians and adult specialists and for patient visits to the adult center prior to final transition of care.

Deep Learning-Based System Combining Chest X-Ray and Computerized Tomography Images for COVID-19 Diagnosis.

Aims/Background: The coronavirus disease 2019 (COVID-19) pandemic has highlighted the need for accurate and efficient diagnostic methods. This study aims to improve COVID-19 detection by integrating chest X-ray (CXR) and computerized tomography (CT) images using deep learning techniques, further improving diagnostic accuracy by using a combined imaging approach. Methods: The study used two publicly accessible databases, COVID-19 Questionnaires for Understanding the Exposure (COVID-QU-Ex) and Integrated Clinical and Translational Cancer Foundation (iCTCF), containing CXR and CT images, respectively. The proposed system employed convolutional neural networks (CNNs) for classification, specifically EfficientNet and ResNet architectures. The data underwent preprocessing steps, including image resizing, Gaussian noise addition, and data augmentation. The dataset was divided into training, validation, and test sets. Gradient-weighted Class Activation Mapping (Grad-CAM) was used for model interpretability. Results: The EfficientNet-based models outperformed the ResNet-based models across all metrics. The highest accuracy achieved was 99.44% for CXR images and 99.81% for CT images with EfficientNetB5. The models also demonstrated high precision, recall, and F1 scores. For statistical significance, the p-values were less than 0.05, indicating that the results are significant. Conclusion: Integrating CXR and CT images using deep learning significantly improves the accuracy of COVID-19 diagnosis. The EfficientNet-based models, with their superior feature extraction capabilities, show better performance than ResNet models. Grad-CAM Visualizations provide insights into the model's decision-making process, potentially reducing diagnostic errors and accelerating diagnosis processes. This approach can improve patient care and support healthcare systems in managing the pandemic more effectively.

Fetal Brain MRI Abnormalities in Pyruvate Dehydrogenase Complex Deficiency.

Pyruvate dehydrogenase complex deficiency (PDCD) is a disorder of mitochondrial metabolism that is caused by pathogenic variants in multiple genes, including PDHA1. Typical neonatal brain imaging findings have been described, with a focus on malformative and encephaloclastic features. Fetal brain MRI in PDCD has not been comprehensively described. The aims of this study were (1) to further characterize the fetal brain MRI findings in PDCD using comprehensive fetal imaging and genetic testing and (2) to determine whether markers of diagnosis of PDCD could be identified on prenatal imaging. Fetuses with a diagnosis of PDCD related to a genetic etiology that had undergone fetal MRI were included. Fetuses were identified retrospectively from local databases of 4 fetal diagnostic clinics within tertiary pediatric health care centers. Electronic medical records were reviewed retrospectively: demographics, maternal and pregnancy history, fetal outcomes, and neonatal outcomes (if available) were reviewed and recorded. Fetal and neonatal imaging reports were reviewed; source fetal and neonatal brain MRI scans were reviewed by a single pediatric neuroradiologist (J.W.S.) for consistency. Genetic testing strategies and results including variant type, zygosity, inheritance pattern, and pathogenicity were recorded. Deidentified data were combined and reported descriptively. A total of 10 fetuses with a diagnosis of PDCD were included. 8 fetuses had corpus callosum dysgenesis, 6 had an abnormal gyration pattern, 10 had reduced brain volumes, and 9 had cystic lesions. 1 fetus had intraventricular hemorrhages. 1 fetus had a midbrain malformation with aqueductal stenosis and severe hydrocephalus. 6 fetuses imaged in the second trimester had cystic lesions involving the ganglionic eminences (GEs) while GE cysts were not present in the 4 fetuses imaged in the third trimester. Fetuses with PDCD have similar brain MRI findings to neonates described in the literature, although some of these findings are subtle early in pregnancy. Additional features, such as cystic lesions of the GEs, are noted in the second trimester in fetuses with PDCD. These may represent an early diagnostic marker of PDCD, although more data are needed to validate this association. Early diagnosis of PDCD using fetal MRI may inform genetic counseling, pregnancy decision making, and neonatal care planning.

Impact of a package of point-of-care diagnostic tests, a clinical diagnostic algorithm and adherence training on antibiotic prescriptions for the management of non-severe acute febrile illness in primary health facilities during the COVID-19 pandemic in Burkina Faso

ObjectiveTo assess the impact of an intervention package on the prescription of antibiotic and subsequently the rate of clinical recovery for non-severe acute febrile illnesses at primary health centers.MethodsPatients over 6 months of age presenting to primary health care centres with fever or history of fever within the past 7 days were randomized to receive either the intervention package constituted of point-of-care tests including COVID-19 antigen tests, a diagnostic algorithm and training and communication packages, or the standard practice. The primary outcomes were antibiotic prescriptions at Day 0 (D0) and the clinical recovery at Day 7 (D7). Secondary outcomes were non-adherence of participants and parents/caregivers to prescriptions, health workers’ non-adherence to the algorithm, and the safety of the intervention.ResultsA total of 1098 patients were enrolled. 551 (50.2%) were randomized to receive the intervention versus 547 (49.8%) received standard care. 1054 (96.0%) completed follow-up and all of them recovered at D7 in both arms. The proportion of patients with antibiotic prescriptions at D0 were 33.2% (183/551) in the intervention arm versus 58.1% (318/547) under standard care, risk difference (RD) -24.9 (95% CI -30.6 to -19.2, p < 0.001), corresponding to one more antibiotic saved every four (95% CI: 3 to 5) consultations. This reduction was also statistically significant in children from 6 to 59 months (RD -34.5; 95% CI -41.7 to -27.3; p < 0.001), patients over 18 years (RD -35.9; 95%CI -58.5 to -13.4; p = 0.002), patients with negative malaria test (RD -46.9; 95% CI -53.9 to -39.8; p < 0.001), those with a respiratory diagnosis (RD -48.9; 95% CI -56.9 to -41.0, p < 0.001) and those not vaccinated against COVID-19 (-24.8% 95%CI -30.7 to -18.9, p-value: <0.001). A significant reduction in non-adherence to prescription by patients was reported (RD -7.1; 95% CI -10.9 to -3.3; p < 0.001).ConclusionThe intervention was associated with significant reductions of antibiotic prescriptions and non-adherence, chiefly among patients with non-malaria fever, those with respiratory symptoms and children below 5 years of age. The addition of COVID-19 testing did not have a major impact on antibiotic use at primary health centers.Trial registrationClinitrial.gov; NCT04081051 registered on 06/09/2019.

Facilitators and barriers to interprofessional collaboration among health professionals in primary healthcare centers in Qatar: a qualitative exploration using the “Gears” model

BackgroundThe number of patients seeking medical care is increasing, necessitating more access to primary healthcare services. As several of these patients usually present with complex medical conditions, the need for interprofessional collaboration (IPC) among health professionals in primary care is necessary. IPC is essential for facing the increasing and challenging healthcare demands. Therefore, the facilitators of and the barriers to IPC should be studied in the hope that the results will be used to promote such endeavors.ObjectivesThis study aimed to explore the perspectives of different health professionals regarding the facilitators of and the barriers to IPC in the primary healthcare settings in Qatar.MethodsA qualitative study using focus groups was conducted within the Primary Health Care Corporation (PHCC) in Qatar. Several health professionals were invited to participate in the focus groups. The focus groups were uniprofessional for general practitioners (GPs), nurses, and dentists, while they were interprofessional for the other health professionals. Focus groups were audio-recorded and transcribed verbatim and validated by the research team. The data were analyzed by deductive thematic analysis using the “Gears” Conceptual Model as a coding framework.ResultsFourteen focus groups were conducted involving 58 participants (including 17 GPs, 12 nurses, 15 pharmacists, 3 dentists, and 11 allied health professionals) working in PHCC in Qatar. The findings revealed a spectrum of factors influencing IPC, categorized into four main domains: Macro, Meso, Micro, and individual levels, with each accompanied by relevant barriers and facilitators. Key challenges identified included a lack of communication skills, insufficient professional competencies, and power imbalances, among others. To address these challenges, recommendations were made to implement dedicated training sessions on IPC, reduce hierarchical barriers among different health professionals, and enhance the effectiveness of existing systems. Conversely, it was emphasized that projects and campaigns focused on IPC, alongside the development of enhanced communication skills and the presence of supportive leadership, as essential for facilitating effective IPC in PHCCs.ConclusionThe interplay between the meso, macro, micro, and individual levels highlight the significance of a multifaceted approach to interventions, aiming to enhance the successes of IPC. While initiatives like interprofessional education training are underway, numerous challenges persist before achieving improved collaboration and more efficient integration of IPC in the PHCC setting.

Dietary intake knowledge and reasons for food restriction during pregnancy among pregnant women attending primary health care centers in Ile-Ife, Nigeria

The study investigated dietary intake knowledge and reasons for food restriction during preg-nancy among pregnant women attending antenatal clinics in Ile-Ife, Nigeria. This cross-sectional survey involved 530 pregnant women visiting 35 primary health care (PHC) centers in Ile-Ife. Interview-er-administered questionnaire used to collect data included a 30-point knowledge scale and food restric-tion related questions. Data were analyzed using descriptive statistics and chi-square at P = 0.05. Mean age was 27.0 &amp;plusmn; 5.3 years, 44.5% had tertiary education and 11.1% earned above ₦50,000 monthly (ap-proximately US$315). Mean knowledge score was 23.6 &amp;plusmn; 4.2 and 75.5% had good knowledge. Higher education was significantly associated with good knowledge of dietary intake. Reasons for food restric-tion during pregnancy included cultural taboos (36.5%) and religious beliefs (12.1%). Major foods that were restricted or avoided for cultural reasons were protein and vitamin-rich foods such as snail (97.5%) and walnut (84.0%). Foods avoided based on religious beliefs included pork (87.4%) and dog (76.9%). A higher proportion (94.8%) of respondents who earn more than ₦50,000 avoided foods due to cultural taboos (94.8%) compared with those without monthly income (58.3%) (P&amp;le;0.05). The proportions of respondents who avoided foods due to cultural taboos with no formal, primary, secondary, and tertiary education were 95.5%, 93.8%, 79.8%, and 86.4% respectively (P&amp;le;0.05). Overall, respondents were knowledgeable about dietary intake. However, cultural taboos and religious beliefs were major reasons for food restriction among pregnant women and were more pronounced among women with low educa-tion and low monthly income. Nutrition education interventions are needed to address the phenomenon.&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;

Modelling efficiency in primary healthcare using the DEA methodology: an empirical analysis in a healthcare district

BackgroundPrimary healthcare management efficiency conditions the functioning of specialized care and has a direct impact on the outcomes of the health system and its sustainability. The objective of this research is to develop models to evaluate the efficiency, including health outcomes, of the primary healthcare centres (PHC) of the Clínico – La Malvarrosa Health District in Valencia.MethodsTo evaluate efficiency, Data Envelopment Analysis (DEA) was used with output orientation and variable returns to scale, with panel data from the years 2015 to 2019. In rates per 10,000 inhabitants, the inputs are: medical and nursing staff and pharmacy cost. The outputs are: number of consultations, hospital emergencies, referrals, avoidable hospitalisations, avoidable mortality and pharmaceutical prescription efficiency. As exogenous variables: the percentage of population over 65 years old, over 80 and case-mix. Three models were developed, all of them with the same inputs and different combinations of outputs related to: healthcare activity, outcomes, and both, in order to study the influence of the different approaches on efficiency. Each model is analysed both without exogenous variables and with each of them.ResultsThe efficiency results vary depending on the model used, although certain PHCs are always on, or very close to, the efficient frontier, while others are always inefficient. When healthcare activity outputs are considered, efficiency scores improve and the number of efficient PHCs increases. However, in general, the PHC score decreases throughout the evaluated period. This decrease is more pronounced when only activity outputs are included.ConclusionsDEA allows the inefficiencies of PHCs to be analysed and the efficient ones are clearly distinguished from the inefficient, although different efficiency scores are obtained depending on the model used. Evaluation can be according to healthcare activity, health outcomes or both, making it necessary to identify the expected objectives of the PHCs, as the perspective of the analysis influences the results.

The association between dietary habits and self-care behavior of pregnant women with pregnancy complications

Pregnancy as a sensitive period has a critical effect on the mother and infant's life. It is well understood that dietary habits and mother awareness can improve health status and prevent pregnancy complications such as gestational diabetes, pre-eclampsia, and nausea and vomiting. The current study was conducted to investigate the association between dietary habits and self-care behaviors with pregnancy complications. This cross-sectional study was conducted across 300 pregnant women in their third trimester referred to healthcare centers and Yas hospital in Tehran, Iran. Dietary habits and self-care behaviors were assessed by valid and reliable questionnaires. Dietary intake and physical activity were evaluated using valid and reliable Food Frequency Questionnaires and Pregnancy Physical Activity questionnaires, respectively. Women with self-care behaviors had a lower rate of pre-eclampsia (P = 0.9). Regarding food habits, pregnant women who ate their meals faster had a non-significantly higher rate of gestational diabetes and pre-eclampsia. Pregnant women who consumed red meat on a daily frequency had a significantly higher rate of nausea and vomiting (OR 1.85; 95% CI 1.05–3.28, P = 0.03). Also, there was a significant positive association between the mother's pre-pregnancy BMI and gestational diabetes and pre-eclampsia [(OR 2.03; 95% CI 1.03–3.98, P = 0.03) and (OR 4.23; 95% CI 1.12–16.0, P = 0.03) respectively]. There was no significant association between pregnant women's dietary habits and GDM and pre-eclampsia. However, pregnant women with pre-pregnancy overweight and obesity had increased odds of gestational diabetes and pre-eclampsia significantly.

The effect of sexual education based on the Sexual Health Model on sexual function among women living in the suburbs: study protocol for a randomized controlled trial

IntroductionSuburban population is increasingly growing in Iran. People in the suburbs usually have limited sexual information and there are limited studies into their sexual issues. This study aims the effect of sexual education (SE) based on the Sexual Health Model (SHM) on sexual functioning among women living in the suburbs.MethodsThis is a randomized controlled trial with two parallel groups. Seventy-six women will be selected through simple random sampling from healthcare centers in suburban areas and will be allocated to a control group (n = 38) and an intervention group (n = 38) with a randomization ratio of 1:1. Participants in the intervention group will receive SHM-based SE in three120 min weekly sessions which will be held using the lecture, question-and-answer, group discussion, and educational booklet methods. Data will be collected through a demographic and midwifery characteristics questionnaire, the Female Sexual Function Index, the Depression Anxiety Stress Scale, and the Sexual Quality of Life-Female, and will be analyzed through the analysis of covariance as well as the independent-sample t, the paired-sample t, and the Chi-square tests.DiscussionWe hope this study provides a clear framework for decision-makers and healthcare providers to provide appropriate policies and interventions for SE and thereby improve the sexual health of women in the suburbs.Trial registration: This study was registered in the Iranian Registry of Clinical Trials on 2024.03.05 (code: IRCT20231121060133N1).

The role of big data analysis for resources optimization of immunization programmes in Pakistan.

Madam, The significance of Big Data Analysis (BDA) in optimizing immunization programmes in Pakistan emerges within the context of global and regional immunization challenges post the COVID-19 pandemic. Despite recovery efforts, a substantial number of children globally remain under-vaccinated, with 14.3 million zero-dose children in 2022.[1] South Asia, primarily India, has shown notable progress, exceeding pre-pandemic coverage levels.[2] In Pakistan, the Expanded Programme on Immunization (EPI) launched in 1978 aims to combat high under-five mortality rates due to vaccine-preventable diseases.[3] However, vaccine coverage remains suboptimal, with only 66% of children aged 12-23 months receiving basic EPI vaccines.[3] This is compounded by reduced doses administered later in schedules, influenced by limited access, awareness gaps, and insufficient vaccinators, especially in rural areas. [3] Big data analytics can help tackle challenges, improve resource allocation, and optimize immunization in Pakistan. The vital role of BDA in optimizing Pakistan's immunization programmes is rooted in its manifold health benefits. BDA aids disease prevention, identifies health risk factors, and enhances healthcare strategies.[4] Amid health emergencies like COVID-19, BDA leverages information technology to fortify health systems, enhancing decision-making, reducing errors, and conserving resources.[4] BDA's dynamic potential is evident. Its predictive tools swiftly pinpoint high-risk patients, streamlining care and elevating healthcare outcomes.[4] BDA draws insights from vast datasets for informed decisions. A recent study conducted in Sindh, increased vaccinator attendance from 44% to 88%, by factoring in results of BDA of Electronic Immunization Registries into their decision making.[5] BDA of antigen administration during accelerated outreach efforts revealed substantial boosts, compared to routine activities.[5] These findings spurred continued efforts in high-risk areas, showcasing BDA's impact in project acceleration and resource optimization.[5] This case highlights BDA's transformative role, enhancing immunization programs through data-driven insights. To harness the potential of BDA in immunization, Pakistan's healthcare system requires a digital overhaul. This entails prioritizing active patient data collection, storage, and analysis on a national scale. Collected data would facilitate targeted vaccination efforts in vulnerable areas. Storing data supports future research and predictive analysis, offering insights into current measures' efficacy and enabling necessary adjustments. A robust data analysis infrastructure, coupled with healthcare professional training, is essential. Cost-effective data security is vital. Digital registries in tertiary care hospitals and rural centres can aid government analysis. This holistic approach seeks to establish a digital healthcare ecosystem, involve the public, and implement data-driven solutions for improved immunization and overall public health in Pakistan.

Clinical outcomes of inferior oblique myectomy in age categorized patients with unilateral superior oblique palsy

BackgroundUnilateral superior oblique palsy (SOP) is the most common isolated cranial nerve palsy. This report looks at the results and safety of inferior oblique (IO) myectomy for SOP. MethodsA retrospective chart review of patients with fusional ability who underwent IO myectomy for unilateral SOP over a 15-year period, at one of our university-associated health care centers. Primary outcomes were: distance hypertropia and excyclotropia in primary position, inferior oblique overaction (IOOA) and the correlation between the age at surgery and the residual distance hypertropia. ResultsA total of 73 patients with unilateral SOP who underwent IO myectomy were included in the analysis. Mean pre-operative values were: distance hypertropia: 15.41 ± 6.8 Prism Diopters (range 4–30 PD), IOOA: +2.2 ± 0.7 (range 0–3.5) and excyclotropia: +5.34 ± 3.6° (range 0–12°). Mean post-operative values were: distance hypertropia: 3.7 ± 3.4PD [0-14PD], IOOA: −0.1 ± 0.8 [(-2)-2] and excyclotropia: +1.1 ± 2.3°[(-5)-10]. The younger age group (0–20 years old) had a trend toward smaller preoperative distance hypertropia (P = 0.051), and a significantly smaller distance hypertropia post-operatively (p = 0.007). There was no case of ocular complication. ConclusionsOn average, IO myectomy results in a 11.7PD reduction of the distance hypertropia, and 4° reduction of excyclotropia, with an effective reduction of IOOA. While these results are comparable to other surgical methods reported in the literature, they underline an efficacy without the risks of complications such as anti-elevation syndrome and possible scleral perforation. The younger age group had a trend toward smaller preoperative deviation, and better outcomes compared to the older age group.

Evaluating the impact of the 2010 Swedish choice reform in primary health care on avoidable hospitalization and socioeconomic inequities: an interrupted time series analysis using register data

BackgroundThe Swedish Primary Health Care (PHC) system has, like in other European countries, undergone a gradual transition towards marketization and privatization, most distinctly through a 2010 choice reform. The reform led to an overall but regionally heterogenous expansion of private PHC providers in Sweden, and with evidence also pointing to possible inequities in various aspects of PHC provision. Evidence on the reform’s impact on population-level primary health care performance and equity in performance remains scarce. The present study therefore aimed to examine whether the increase in private provision after the reform impacted on population-average rates of avoidable hospitalizations, as well as on corresponding socioeconomic inequities.MethodsThis register-based study used a multiple-group interrupted time-series design for the study period 2001–2017, with the study population (N = 51 million observations) randomly drawn from the total Swedish population aged 18–85 years. High, medium, and low implementing comparison groups were classified by tertiles of increase in private PHC providers after the reform. PHC performance was measured by avoidable hospitalizations, and socioeconomic position by education and income. Interrupted time series analysis based on individual-level data was used to estimate the reform impact on avoidable hospitalization risk, and on inequities through the Relative Index of Inequality (RII).ResultsAll three comparisons groups displayed decreasing risk of avoidable hospitalizations but increasing socioeconomic inequities across the study period. Compared to regions with little change in provision after the reform, regions with large increase in private provision saw a steeper decrease in avoidable hospitalizations after the reform (relative risk (95%): 1.6% (1.1; 2.1)), but at the same time steeper increase in inequities (by education: 2.0% (0.1%; 4.0); by income: 2.2% (-0.1; 4.3)).ConclusionsThe study suggests that the increase in private health care centers, enabled by the choice reform, contributed to a small improvement when it comes to overall PHC performance, but simultaneously to increased socioeconomic inequities in PHC performance. This duality in the impact of the Swedish reform also reflects the arguments in the European health policy debate on patient choice PHC models, with hopes of improved performance but fears of increased inequities.

Real-World Data with CDK4/6 Inhibitors—A Single Center Experience from Croatia

Background: There are limited real-world data (RWD) regarding the use of cyclin-dependent kinase (CDK) 4/6 inhibitors in western Balkan. The aim of our study was thus to analyze factors influencing progression-free survival (PFS) and overall survival (OS), along with the differences in adverse effects of CDK 4/6 therapy in a tertiary healthcare center in Croatia. Methods: We evaluated medical and demographic data for 163 consecutive patients with metastatic breast cancer treated with CDK4/6 inhibitors for at least one month, from October 2018, after the drug became available in Croatia. Eligible patients in our study were those patients who were treated with palbociclib, ribociclib, or abemaciclib. Results: The median PFS of CDK4/6 inhibitors treatment was 2.2 years (95% CI 1.8–3.3), with the longest ongoing treatment for 5.4 years. Treatment with CDK4/6 inhibitors in the first line was associated with a longer PFS compared to the second line or beyond (HR 0.50, 95% CI 0.3–0.9), and patients without liver metastasis exhibited longer survival compared to patients with liver metastasis (HR 0.46, 95% CI 0.2–0.8) (both p &lt; 0.05). Regarding the choice of CDK4/6 inhibitors, ribociclib exhibited longer PFS compared to palbociclib (HR 0.49, 95% CI 0.29–0.82) (p = 0.0032), although the effect was not statistically significant when separating patients who were treated with CDK4/6 inhibitors in the first-line (HR 0.59, 95% CI 0.29–1.2), or second- or later-line therapy (0.49, 95% CI 0.15–1.55); the trend was present in both lines, however. The presence of liver metastasis (p = 0.04), initial luminal A grade (p = 0.039), and time to metastasis up to 5 years from the initial cancer (p = 0.002) were the only factors that remained statistically significant for PFS in multivariate analysis. Median OS since the diagnosis of metastatic disease was 4.5 years (95% CI 3.9–6.3), median OS since the start of CDK4/6 inhibitors treatment was 3.7 years (95% CI 3.4–4.4), while median OS from initial cancer diagnosis was 15.8 years (95% CI 13.8–18.3). There was no difference in OS based on the choice of CDK4/6 inhibitor (p = 0.44) or the adjuvant hormonal therapy (p = 0.12), although a nonsignificant trend for better OS with ribociclib was present for both regardless of whether it was in first- or second/later-line therapies (p &gt; 0.05). In a multivariate analysis, only the presence of liver metastasis (p = 0.0003) and time to metastasis under 5 years from primary breast cancer (p = 0.03) were associated with a worse OS. Conclusion: Our study provides the RWD with the use of CDK4/6 inhibitors in the treatment of metastatic HR+/HER2− breast cancer. To our best knowledge, there are limited RWD regarding CDK 4/6 inhibitors use in western Balkan; thus, our study provides valuable data from everyday clinical practice for this region of Europe, bridging the gap between randomized clinical trials and clinical reality in western Balkan.

Data Integration for a Global Deep-Phenotyping Registry for Pulmonary Hypertension - Lessons Learned.

The integration of data from various healthcare centers into disease registries is pivotal for facilitating collaborative research and enhancing clinical insights. In this study, we investigate the integration process of existing registries into the PVRI GoDeep meta-registry, focusing on the complexities and challenges encountered. We detail the integration process, including data transformation, mapping updates, and feedback mechanisms. Our findings underscore the importance of standardized processes and proactive communication in addressing data quality issues, ultimately enhancing the reliability and trustworthiness of meta-registry data. Through careful harmonization of the data and transparent documentation of data processing, we pave the way for leveraging registry data to drive advancements in pulmonary hypertension research and patient care.

Pilot trial protocol: community intervention to improve depressive symptoms among Peruvian older adults

BackgroundNon-pharmacological interventions have proven effective at alleviating depression and anxiety symptoms in older adults. Methodological refinement and testing of these interventions in new contexts are needed on a small scale before their effectiveness and implementation can be evaluated. The purpose of this pilot study is to assess the feasibility of a future large-scale trial comparing an adapted mental health multi-component evidence-based intervention (VIDACTIVA) versus standard care for older adults experiencing depression symptoms in urban, resource-limited settings in Lima, Peru. Furthermore, this study will explore the acceptability, feasibility, and fidelity of implementing the intervention.MethodsWe will conduct an open-label, mixed methods pilot feasibility study with two parallel groups. A total of 64 older adults, stratified by sex, will be randomized at a 1:1 ratio to either the “intervention” or “control.” Participants will be followed for 22 weeks after enrollment. Those in the intervention group will receive eight VIDACTIVA sessions administered by community health workers (CHWs) over 14 weeks, with an additional eight weeks of follow-up. Participants in the control group will receive two psychoeducation sessions from a study fieldworker and will be directed to health care centers. Standard care does not involve CHWs. We will evaluate screening rates, recruitment strategies, retention rates, the acceptability of randomization, and assessments. Additionally, we will assess preliminary implementation outcomes—acceptability, feasibility, and fidelity—from the perspectives of CHWs (interventionists), older adults (main participants), older adults’ relatives, and healthcare professionals.DiscussionIf the findings from this feasibility trial are favorable, a fully powered randomized controlled trial will be conducted to evaluate `both the effectiveness and implementation of the intervention. This research will make a substantial contribution to the field of mental health in older adults, particularly by emphasizing a meticulous examination and documentation of the implementation process. By doing so, this study will offer valuable methodologies and metrics for adapting and assessing mental health interventions tailored to the unique needs of older adults in resource-constrained contexts and diverse cultural settings.Trial registrationThe current trial registration number is NCT06065020, which was registered on 26th September 2023.

Demographic, clinical profile and short-term outcome of neonates referred for mechanical ventilation: experience in a referral neonatal intensive care centre in Southern Nigeria

Background: The use of mechanical ventilation (MV) in NICU is not widespread in Nigeria. Although a life-saving tool in neonates, MV is associated with potentially high morbidity and mortality rate. There are various factors which impact the outcome of MV in neonates. The aim of this study is to assess outcome, demographics and clinical profile of babies who received MV in the region. Methods: This was a retrospective study, involving 20 infants, who were all referred from other Health care centres. Results: The overall survival rate of ventilated babies in this study was 30.0%; however, relative survival rate compared to non-survival group was 53.8%. Although, the mean weight and mean gestational age (GA) of those who survived were higher than that in those who did not survive, this difference was not statistically significant. However, a significantly higher proportion (87.3%) of those who were ventilated for 1-3 days survived, compared to those ventilated for less than 24 hours or more than 3 days. Conclusions: The survival of neonates referred for MV in our study was comparable to that seen in other developing countries. Duration of MV (DMV) was the only significant factor affecting the outcome of MV in our study.

Intraoperative Online Telementoring—Redefining Surgical Education in the Philippines Amidst the Pandemic

The COVID-19 pandemic presented a major challenge to not only health care centers around the world but also to institutions with residency training programs [...]

Implementation of a patient reminder system in Haiti in a socio-political crisis context: evaluation of outcomes

BackgroundIn Haiti, patient’s adherence to treatment and compliance with medical appointments are very challenging due to different local factors. We aimed to assess the effectiveness of a reminder system implemented in health facilities in Haiti in a context of socio-political crisis.MethodsWe used appointment data from patients aged 15 years and older between January 2021 and November 2023 from four healthcare centers in the Port-au-Prince metropolitan area. We performed descriptive analysis, crossing covariates with appointment attendance. We performed Pearson’s Chi-squared test, and multivariate regression analysis using a mixed-effect logistic regression model in order to explore the association between sending reminders and appointment attendance, with and without adjustment for other patient-level covariates.ResultsA total of 14 108 appointments were registered on the reminder systems, with 2 479 (17.6%) attendances. Among those to whom reminders were sent, the number of attendances was 167 (17.4%) for email recipients only, 199 (36.7%) for SMS recipients only, and 19 (42.2%) for both SMS and email recipients – versus 2 094 (16.7%) for non-reminders. After adjusting on all other covariates, we found that patients to whom a reminder was sent via email (aOR: 1.45; CI: 1.08, 1.94), SMS (aOR: 2.95; CI: 2.41, 3.60), and both SMS and email (aOR: 2.86, CI: 1.37, 5.96) were more likely to show up on their appointment day compared to those who did not receive any reminder. Other socio-demographic factors such as being 50 years and older (aOR: 1.31; CI: 1.10, 1.56) compared to under 30 years, living as couple (aOR: 1.23; CI: 1.10, 1.37), and not having children (aOR: 1.21; CI: 1.07, 1.37) were significantly associated with appointment attendance.ConclusionsOur study suggests that patient reminder systems may be used to reduce non-attendance in Haiti, even in a context of socio-political crisis.