The latest medical research on Public Health
The research magnet gathers the latest research from around the web, based on your specialty area. Below you will find a sample of some of the most recent articles from reputable medical journals about public health gathered by our medical AI research bot.
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Request AccessA population-based study on incidence trends of kidney and renal pelvis cancers in the United States over 2000-2020.
COVID 19Cancers of the kidney and renal pelvis are among the most prevalent types of urinary cancers. We aimed to outline the incidence trends of kidney an...
Prevalence of hepatitis B and C viruses among migrant workers in Qatar.
COVID 19Limited data exist on viral hepatitis among migrant populations. This study investigated the prevalence of current hepatitis B virus (HBV) infectio...
Dietary intake, obesity, and metabolic risk factors among children and adolescents in the SEACO-CH20 cross-sectional study.
COVID 19We investigated the association between dietary intake and metabolic risk factors in children and adolescents within a semi-rural Malaysian communi...
Cancer mRNA vaccines: clinical advances and future opportunities.
COVID 19mRNA vaccines have been revolutionary in terms of their rapid development and prevention of SARS-CoV-2 infections during the COVID-19 pandemic, and...
Toward a digitalized medicine: the Covid-19 pandemic as a disclosure of the importance of digital communication in the clinical world.
COVID 19This paper focuses on the importance of digital communication between medical teams and patients and their families when mediated by technological ...
Tuberculosis preventive treatment uptake among people living with HIV during COVID-19 period in Addis Ababa, Ethiopia: a retrospective data review.
COVID 19Screening for tuberculosis (TB) and providing TB preventive treatment (TPT) along with antiretroviral therapy is key components of human immune deficiency virus (HIV) care. The uptake of TPT during the coronavirus disease 2019 (COVID-19) period has not been adequately assessed in Addis Ababa City Administration. This study aimed at assessing TPT uptake status among People living with HIV (PLHIV) newly initiated on antiretroviral therapy during the COVID-19 period at all public hospitals of Addis Ababa City Administration, Ethiopia.
A retrospective data review was conducted from April-July 2022. Routine District Health Information System 2 database was reviewed for the period from April 2020-March 2022. Proportion and mean with standard deviation were computed. Logistic regression analysis was conducted to assess factors associated with TPT completion. A p-value of < 0.05 was considered statistically significant.
A total of 1,069 PLHIV, aged 18 years and above were newly initiated on antiretroviral therapy, and of these 1,059 (99.1%) underwent screening for TB symptoms. Nine hundred twelve (86.1%) were negative for TB symptoms. Overall, 78.8% (719) of cases who were negative for TB symptoms were initiated on TPT, and of these 70.5% and 22.8% were completed and discontinued TPT, respectively. Of 719 cases who were initiated on TPT, 334 (46.5%) and 385 (53.5%) were initiated on isoniazid plus rifapentine weekly for three months and Isoniazid preventive therapy daily for six months, respectively. PLHIV who were initiated on isoniazid plus rifapentine weekly for three months were more likely to complete TPT (adjusted odds ratio [AOR],1.68; 95% confidence interval [CI], 1.01, 2.79) compared to those who were initiated on Isoniazid preventive therapy daily for six months.
While the proportion of PLHIV screened for TB was high, TPT uptake was low and far below the national target of achieving 90% TPT coverage. Overall a considerable proportion of cases discontinued TPT in this study. Further strengthening of the programmatic management of latent TB infection among PLHIV is needed. Therefore, efforts should be made by the Addis Ababa City Administration Health Bureau authorities and program managers to strengthen the initiation and completion of TPT among PLHIV in public hospitals.
Measures during the COVID-19 pandemic in public primary health care in Greece: is there still a missing link to universal health coverage?
COVID 19The PRICOV-19 study aimed to assess the organization of primary health care (PHC) during the COVID-19 pandemic in 37 European countries and Israel; and its impact on different dimensions of quality of care. In this paper, we described measures taken by public PHC centers in Greece. Additionally, we explored potential differences between rural and non-rural settings.
The study population consisted of the 287 public PHC centers in Greece. A random sample of 100 PHC centers stratified by Health Region was created. The online questionnaire consisted of 53 items, covering six sections: general information on the PHC center, patient flow, infection prevention, information processing, communication to patients, collaboration, and collegiality.
Seventy-eight PHC centers (78%) - 50 rural and 28 non-rural - responded to the survey. Certain measures were reported by few PHC centers. Specifically, the use of online messages about complaints that can be solved without a visit to the PHC center (21% rural; and 31% non-rural PHC centers), the use of video consultations with patients (12% rural; and 7% non-rural PHC centers), and the use of electronic medical records (EMRs) to systematically identify the list of patients with chronic conditions (5% rural; and 10% non-rural PHC centers) were scarcely reported. Very few PHC centers reported measures to support identifying and reaching out to vulnerable population, including patients that may have experienced domestic violence (8% rural; and 7% non-rural PHC centers), or financial problems (26% rural; and 7% non-rural PHC centers). Providing administrative documents to patients through postal mail (12% rural; and 21% non-rural PHC centers), or regular e-mail (11% rural; and 36% non-rural PHC centers), or through a secured server (8% rural; and 18% non-rural PHC centers) was rarely reported. Finally, providing information in multiple languages through a PHC website (12% rural PHC centers only), or an answering machine (6% rural PHC centers only), or leaflets (3% rural PHC centers only; and for leaflets specifically on COVID-19: 6% rural; and 8% non-rural PHC centers) were lacking in most PHC centers.
Our study captured measures implemented by few PHC centers suggesting potential priority areas of future improvement.
A reduced proteomic signature in critically ill Covid-19 patients determined with plasma antibody micro-array and machine learning.
COVID 19COVID-19 is a complex, multi-system disease with varying severity and symptoms. Identifying changes in critically ill COVID-19 patients' proteomes enables a better understanding of markers associated with susceptibility, symptoms, and treatment. We performed plasma antibody microarray and machine learning analyses to identify novel proteins of COVID-19.
A case-control study comparing the concentration of 2000 plasma proteins in age- and sex-matched COVID-19 inpatients, non-COVID-19 sepsis controls, and healthy control subjects. Machine learning was used to identify a unique proteome signature in COVID-19 patients. Protein expression was correlated with clinically relevant variables and analyzed for temporal changes over hospitalization days 1, 3, 7, and 10. Expert-curated protein expression information was analyzed with Natural language processing (NLP) to determine organ- and cell-specific expression.
Machine learning identified a 28-protein model that accurately differentiated COVID-19 patients from ICU non-COVID-19 patients (accuracy = 0.89, AUC = 1.00, F1 = 0.89) and healthy controls (accuracy = 0.89, AUC = 1.00, F1 = 0.88). An optimal nine-protein model (PF4V1, NUCB1, CrkL, SerpinD1, Fen1, GATA-4, ProSAAS, PARK7, and NET1) maintained high classification ability. Specific proteins correlated with hemoglobin, coagulation factors, hypertension, and high-flow nasal cannula intervention (P < 0.01). Time-course analysis of the 28 leading proteins demonstrated no significant temporal changes within the COVID-19 cohort. NLP analysis identified multi-system expression of the key proteins, with the digestive and nervous systems being the leading systems.
The plasma proteome of critically ill COVID-19 patients was distinguishable from that of non-COVID-19 sepsis controls and healthy control subjects. The leading 28 proteins and their subset of 9 proteins yielded accurate classification models and are expressed in multiple organ systems. The identified COVID-19 proteomic signature helps elucidate COVID-19 pathophysiology and may guide future COVID-19 treatment development.
Semi-quantitative group testing for efficient and accurate qPCR screening of pathogens with a wide range of loads.
COVID 19Pathogenic infections pose a significant threat to global health, affecting millions of people every year and presenting substantial challenges to healthcare systems worldwide. Efficient and timely testing plays a critical role in disease control and transmission prevention. Group testing is a well-established method for reducing the number of tests needed to screen large populations when the disease prevalence is low. However, it does not fully utilize the quantitative information provided by qPCR methods, nor is it able to accommodate a wide range of pathogen loads.
To address these issues, we introduce a novel adaptive semi-quantitative group testing (SQGT) scheme to efficiently screen populations via two-stage qPCR testing. The SQGT method quantizes cycle threshold (Ct) values into multiple bins, leveraging the information from the first stage of screening to improve the detection sensitivity. Dynamic Ct threshold adjustments mitigate dilution effects and enhance test accuracy. Comparisons with traditional binary outcome GT methods show that SQGT reduces the number of tests by 24% on the only complete real-world qPCR group testing dataset from Israel, while maintaining a negligible false negative rate.
In conclusion, our adaptive SQGT approach, utilizing qPCR data and dynamic threshold adjustments, offers a promising solution for efficient population screening. With a reduction in the number of tests and minimal false negatives, SQGT holds potential to enhance disease control and testing strategies on a global scale.
Prevalence and correlates of depression, anxiety and trauma-like symptoms in Chinese psychiatric patients during the fifth wave of COVID-19 pandemic: a cross-sectional study in Hong Kong.
COVID 19Psychiatric patients are susceptible to adverse mental health outcome during COVID-19 pandemic, but its associated factors are understudied. This observational cross-sectional study aimed to comprehensively examine prevalence and correlates of psychological distress, in terms of depression, anxiety and post-traumatic-stress-disorder (PTSD)-like symptoms, among Chinese adult psychiatric outpatients amidst the peak of fifth COVID-19 wave in Hong-Kong.
A total of 415 patients (comprising 246 patients with common-mental-disorders [CMD] and 169 with severe-mental-disorders [SMD]) and 399 demographically-matched controls without mental disorders were assessed with self-rated questionnaires between 28-March and 8-April-2022, encompassing illness profile, mental health symptoms, psychosocial measures (loneliness, resilience, coping styles) and COVID-19 related factors. Univariate and multivariable logistic regression analyses were conducted to determine variables associated with moderate-to-severe depressive, anxiety and PTSD-like symptoms among psychiatric patients.
Our results showed that CMD patients had the greatest psychological distress relative to SMD patients and controls. Approximately 40-55% CMD patients and 25% SMD patients exhibited moderate-to-severe depression, anxiety and PTSD-like symptoms. Multivariable regression analyses revealed that female gender, lower educational attainment, single marital status, being housewife, more severe insomnia, psychotic-like symptoms and cognitive complaints, self-harm behavior, lower resilience, avoidance coping, never contracting COVID-19 infection, greater fear of contagion, and longer exposure to pandemic-related information were independently associated with depression, anxiety and/or PTSD-like symptoms in psychiatric patients.
Our results affirm increased vulnerability of psychiatric patients toward psychological distress during pandemic. An array of identified correlates facilitates early detection of high-risk psychiatric patients for targeted strategies to minimize pandemic-related negative psychological impact.
The impact of continuous and intermittent supportive counseling on self-efficacy and continuation of breastfeeding in lactating women affected by COVID-19: a quasi-experimental trial.
COVID 19The study was registered on the Iranian Registry of Clinical Trials website on 29/06/2021 with the registration code IRCT20150731023423N19. It can be accessed via this link: https://irct.behdasht.gov.ir/user/trial/55391/view .
The study aimed to compare the effects of continuous and intermittent supportive counselling on the self-efficacy and continuity of breastfeeding among Lactating mothers with COVID-19.
The study was a semi-experimental research method and was conducted on 73 mothers with COVID-19 who were hospitalized in Ayatollah Mousavi Hospital in Zanjan, Iran from May 2021 to April 2022. In the continuous counselling group, counselling was provided daily for 14 days, while in the intermittent counselling group, counselling was provided once a week for four weeks. Breastfeeding continuity was assessed based on the World Health Organization's classification, and breastfeeding self-efficacy was measured using Dennis' standard breastfeeding self-efficacy questionnaire (BSE) up to four months after delivery. The data were analyzed using chi-square tests, independent t-tests, paired t-tests, analysis of variance with repeated measures, and survival analysis (Kaplan-Meier) with a 95% confidence level.
The survival analysis revealed that the cessation of exclusive breastfeeding occurred in 17 cases within the continuous counselling group and in 22 cases within the intermittent counselling group. The rates of continuation for exclusive breastfeeding were 52.8% and 40.5% in the continuous and intermittent counselling group respectively. However, no statistically significant differences were observed in the continuation of breastfeeding and the trend of changes in the mean scores of breastfeeding self-efficacies between the continuous and intermittent counselling groups. Furthermore, comparing the change in breastfeeding self-efficacy scores between the one-month and four-month follow-ups within the continuous counselling group, a statistically significant increase was observed.
The results indicated no difference in the effectiveness of continuous and intermittent counseling methods in improving breastfeeding continuity in women with COVID-19. Further research is needed to explore the long-term effects of different counseling approaches on breastfeeding outcomes during crises.
Comparing frequencies of adolescent suicide attempters pre- and during COVID-19 pandemic school terms.
COVID 19The COVID-19 pandemic had and still have a major impact on adolescent mental health and consequently on suicidal behavior. However, few studies have investigated whether the pandemic has changed the patterns and the triggers of suicidality peaks in adolescents, e.g., seasonal patterns or family conflicts. We hypothesized that the pandemic modified suicidality rates: an increment of suicide attempts would be observed in the first semester of the academic year during COVID-19 pandemic compared to the same period of previous academic year; and the precipitating factors would be more related to social stressors during the pandemic school year.
A retrospective cross-sectional study was conducted to assess the precipitating factors, also including school-related factors and cognitive skills, of adolescent suicide attempters occurred in the first and second semesters of the year before the pandemic lockdown (study periods 1 and 2) and the year after (study periods 3 and 4).
The sample consisted of 85 adolescents aged between 12 and 17 recruited consecutively from March 2019 to March 2021 at emergency ward because of suicide attempt. Forty-eight adolescents (55.3% of the sample) were attended before the lockdown (pre-pandemic group) and 38 (44.7%) the year after. The results showed a higher proportion of female suicide attempters in period 4 (Sept 2020-Feb 2021) respect to period 3 (Mar 2020-Aug 2020), i.e., pandemic semesters compared with the increment observed between period 2 and 1 (prepandemic semesters; Fisher's exact test = 4.73; p = 0.026). The multinomial regression models showed a significant effect in the frequency of adolescents who attempted suicide (ratio χ2 = 15.19, p = 0.019), accounted by the differences between period 4 (Sept 2020-Feb 2021) and period 1 (Mar 2019-Aug 2019), with depressive symptoms being a significant contributing factor (Exp(b) = 0.93; p = 0.04). Additionally, social triggers and age were found to be significant risk factors for suicide attempts in the first semester of the pandemic academic year (period 4) compared to the same semester of the pre-pandemic year (period 2; Exp(b) = 0.16, p = 0.01, and Exp(b) = 1.88, p = 0.006, respectively).
During the pandemic, the decrement between first and second semester of the number of females attempting suicide was more pronounced than in the prepandemic school year -though this findings lacked statistical power due to very limited sample size-. Change in the frequency of adolescent attempting suicide in the different school periods was associated with greater severity of depressive symptoms. Social relations in back-to-school after the lockdown were also associated with the number of adolescents attempting suicide.
