Influenza vaccination patterns among at-risk patients during the Covid-19 pandemic-a retrospective cross-sectional study based on claims data

PURPOSE

The Covid-19 pandemic may have encouraged at-risk patients to get vaccinated against influenza for the first time. As previous vaccinations are known predictors for further vaccinations, knowledge about individual vaccination patterns, especially in first time vaccinated patients, is of great interest. The aim of this study was to determine influenza vaccination uptake rate (VUR), individual vaccination patterns and factors associated with vaccination uptake among at-risk patients.

METHODS

The study design was retrospective cross-sectional. Based on claims data, VUR was determined for four influenza seasons (2018/2019-2021/2022). In a cohort subgroup, with data available for all seasons, VUR, vaccination patterns and factors associated with uptake were determined. At-risk patients were people aged ≥ 65 and adult patients with chronic diseases.

RESULTS

We included n = 238,461 patients in the cross-sectional analysis. Overall VUR ranged between 21.8% (2018/2019) and 29.1% (2020/2021). Cohort subgroup consisted of n = 138,526 patients. Within the cohort, 56% were never vaccinated and 11% were vaccinated in all seasons. 14.3% of previously unvaccinated patients were vaccinated for the first time in the first pandemic season (2020/2021 season). The strongest predictor for vaccination was history of vaccinations in all previous seasons (OR 56.20, 95%CI 53.62-58.90, p < 0.001).

CONCLUSION

Influenza VUR increased during the Covid-19 pandemic, but only a minority of previously eligible but unvaccinated at-risk patients were vaccinated for the first time in the first pandemic season. Previous vaccinations are predictors for subsequent vaccinations and health care professionals should actively address at-risk patients' vaccination history in order to recommend vaccination in future seasons.

Rift Valley fever in West Africa: A zoonotic disease with multiple socio-economic consequences

Rift Valley fever virus (RVFV) is an arbovirus that causes Rift Valley fever (RVF), a zoonotic disease that mainly affects domestic and wildlife ruminants and humans. The first epidemic in North-Western and West Africa occurred in Senegal and Mauritania in 1987, two countries where RVF is now endemic. Slaughterhouse workers, farmers, herders and veterinarians are at high risk of exposure to RVF. Beyond the health threat, RVF is considered to cause major socio-economic problems, specifically in developing countries where livestock farming and trade are important economic activities. Indeed, the mortality rate linked to RVF infection can reach 95-100% in newborns and young animals. In West Africa, livestock production is a key factor for food production and for national economics. Epizootics caused by RVF can therefore have serious socio-economic consequences by impacting multisectoral economics, the psycho-social health of pastoral communities, and food security. Improving prevention strategies against RVF, including vaccination, enhancing knowledge of RVF and correcting any inappropriate behaviors by populations of endemics areas, as well as better monitoring of RVF ecological factors are effective ways to better foresee and control outbreaks of RVF and its socio-economical side-effects in countries at high risk of occurrence of the disease.

Most patients with an increased risk for sepsis-related morbidity or death do not recognize sepsis as a medical emergency: results of a survey study using case vignettes

BACKGROUND

Sepsis is a medical emergency with potentially life-threatening consequences. Patients play a crucial role in preventing and recognizing sepsis at an early stage. The understanding of risk groups' sepsis knowledge and their ability to use this knowledge to recognize sepsis as an emergency is incomplete.

METHODS

We conducted a cross-sectional survey in Germany and included a sample of 740 persons stratified by age (< 60 years,  ≥ 60 years), specific chronic diseases (e.g. diabetes, chronic diseases, cancer), and region (Berlin/Brandenburg vs. other federal states of Germany). Standardized questionnaires were administered by a market research institute through online, telephone, or face-to-face methods. We assessed sepsis knowledge through a series of questions and the ability to recognize sepsis as an emergency through five case vignettes. To identify predictors of sepsis knowledge and the ability to recognize sepsis as a medical emergency, we conducted multiple linear regressions.

RESULTS

Of the 36 items on sepsis knowledge, participants answered less than 50 per cent correctly (mean 44.1%; standard deviation (SD) 20.1). Most patients knew that sepsis is a defensive host response to infection (75.9%), but only 30.8% knew that vaccination can prevent infections that lead to sepsis. Across the five vignettes, participants identified sepsis as an emergency in only 1.33 of all cases on average (SD = 1.27). Sepsis knowledge was higher among participants who were older, female, and more highly educated and who reported more extensive health information seeking behaviour. The ability to recognize sepsis as an emergency was higher among younger participants, participants without chronic diseases, and participants with higher health literacy, but it was not significantly associated with sepsis knowledge.

CONCLUSIONS

Risk groups showed low levels of knowledge regarding the preventive importance of vaccination and a low ability to recognize sepsis as a medical emergency. Higher levels of sepsis knowledge alone were not sufficient to improve the ability to identify sepsis as a medical emergency. It is crucial to develop effective educational strategies-especially for persons with lower education levels and infrequent health information seeking behaviour-that not only transfer but also facilitate the choice of appropriate actions, such as seeking timely emergency care.

TRIAL REGISTRATION

DRKS00024561. Registered 9 March 2021.

Estimation of heavy metal soil contamination distribution, hazard probability, and population at risk by machine learning prediction modeling in Guangxi, China

Due to superposition of diverse pollution sources, soil heavy metal concentrations have been detected to exceed the recommended maximum permissible levels in many areas of Guangxi province, China. However, the heavy metal contamination distribution, hazard probability, and population at risk of heavy metals in the entire Guangxi province remain largely unclear. In this study, machine learning prediction models with different standard risk values determined according to land use types were used to identify high-risk areas and estimate populations at risk of Cr and Ni based on 658 topsoil samples from Guangxi province, China. Our results showed that soil Cr and Ni contamination derived from carbonate rocks was relatively serious in Guangxi province, and that their co-enrichment during soil formation was associated with Fe and Mn oxides and alkaline soil environment. Our established model exhibited excellent performance in predicting contamination distribution (R² > 0.85) and hazard probability (AUC>0.85). Pollution of Cr and Ni exhibited a pattern of decreasing gradually from the central-west areas to the surrounding areas with the polluted area (I_geo>0) of Cr and Ni accounting for approximately 24.46% and 29.24% of total area in Guangxi province, respectively, but only 10.4% and 8.51% of total area was classified as Cr and Ni high-risk regions. We estimated approximately 1.44 and 1.47 million people were potentially exposed to the risk of Cr and Ni contamination, which were mainly concentrated in the Nanning, Laibin, and Guigang. These regions are main heavily-populated agricultural regions in Guangxi, and thus heavy metal contamination localization and risk control in these regions are urgent and essential from the perspective of food safety.

"I am not alone". A qualitative feasibility study of eating disorders prevention groups for young females with type 1 diabetes

OBJECTIVE

The overall aim of the current study was to qualitatively explore the feasibility of eating disorder prevention groups for people with type 1 diabetes (T1D).

METHOD

A generic qualitative focus group design was applied. 17 participants accepted the invitation to attend focus group interviews after completing the intervention. Five focus groups were conducted in total.

RESULTS

The qualitative analysis generated one overarching theme, named the benefit of meeting peers with a lived experience of T1D and body image concerns, and four themes: the need for an integrated focus on diabetes, personal relevance, providing sufficient balance between structure and flexibility and enabling a different perspective.

CONCLUSION

Results show overall positive feedback regarding the content and structure of the intervention, and underline the importance of targeting preventive efforts to specific risk groups.

Mapping the global distribution of Strongyloides stercoralis and hookworms by ecological niche modeling

Background

The WHO has established a control strategy for Strongyloides stercoralis in school-aged children as well as targets and to maintain control programs for Ascaris lumbricoides, Trichuris trichiura and hookworms. For an efficient development of control programs, it is necessary to know the target countries around the world, as well as the areas within each country where efforts should be focused. Therefore, maps that provide information on the areas at risk for soil-transmitted helminth (STH) infections on a national and sub-national scale would allow for a better allocation of resources.

Methods

We used the ecological niche models MaxEnt and Kuenm R library to estimate the global distribution of S. stercoralis and hookworms. We used occurrence points of both species extracted from surveys of two literature reviews and from the Global Atlas of Helminth Infection database, together with 14 raster maps of environmental variables.

Results

We obtained two raster maps with the presence probability of S. stercoralis and hookworm infections at a global level and then estimated the global population at risk to be 2.6 and 3.4 billion, respectively. The population at risk was also estimated at the country level using estimations for areas as small as 25 km². A relationship was found between the probability of the presence of S. stercoralis and its prevalence, and a raster map was generated. Annual precipitation, annual temperature, soil carbon content and land cover were the main associated environmental variables. The ecological niches of Strongyloides stercoralis and hookworms had an overlap of 68%.

Conclusions

Here we provide information that can be used for developing more efficient and integrated control strategies for S. stercoralis and hookworm infections. This information can be annexed to the study of other risk factors or even other diseases to assess the health status of a community.

Graphical Abstarct

Supplementary Information

The online version contains supplementary material available at 10.1186/s13071-022-05284-w.

Risk factors for Covid-19 severity and fatality: a structured literature review

PURPOSE

Covid-19 is a global threat that pushes health care to its limits. Since there is neither a vaccine nor a drug for Covid-19, people with an increased risk for severe and fatal courses of disease particularly need protection. Furthermore, factors increasing these risks are of interest in the search of potential treatments. A systematic literature review on the risk factors of severe and fatal Covid-19 courses is presented.

METHODS

The review is carried out on PubMed and a publicly available preprint dataset. For analysis, risk factors are categorized and information regarding the study such as study size and location are extracted. The results are compared to risk factors listed by four public authorities from different countries.

RESULTS

The 28 records included, eleven of which are preprints, indicate that conditions and comorbidities connected to a poor state of health such as high age, obesity, diabetes and hypertension are risk factors for severe and fatal disease courses. Furthermore, severe and fatal courses are associated with organ damages mainly affecting the heart, liver and kidneys. Coagulation dysfunctions could play a critical role in the organ damaging. Time to hospital admission, tuberculosis, inflammation disorders and coagulation dysfunctions are identified as risk factors found in the review but not mentioned by the public authorities.

CONCLUSION

Factors associated with increased risk of severe or fatal disease courses were identified, which include conditions connected with a poor state of health as well as organ damages and coagulation dysfunctions. The results may facilitate upcoming Covid-19 research.

Psychotropic Medication After Intensive Care Unit-Treated Pediatric Traumatic Brain Injury

BACKGROUND

Our aim was to assess the occurrence and risk factors for psychotropic medication use after pediatric traumatic brain injury treated in the intensive care unit.

METHODS

We combined data from the Finnish Intensive Care Consortium database, data on reimbursed medications from the Social Insurance Institute, and individual electronic health care data. We analyzed data on children aged five to 17 years treated for traumatic brain injury in intensive care units of four university hospitals in Finland during 2003 to 2013 and being alive six months after injury with no history of psychotropic medication use before traumatic brain injury.

RESULTS

We identified 248 patients of whom 46 (19%) were prescribed a new psychotropic medication after traumatic brain injury. In multivariable logistic regression, a higher age associated with a higher probability for use of any psychotropic medication. Subgroup analyses showed that higher age associated with an increased risk of antidepressant and antipsychotic use but with a decreased risk of stimulant use. Apart from age, we found no other clinical, radiological, or treatment-related factors that significantly associated with subsequent use of psychotropics. Psychotropic medication was most common (45%) in children aged 12 to 17 years and had moderate disability at six-month follow-up.

CONCLUSIONS

One fifth of children treated in the intensive care unit for traumatic brain injury were prescribed a new psychotropic medication during a median follow-up of three years and five months. Psychotropic medication was most common among teenagers with moderate post-traumatic disability. The need and use of psychotropics postinjury seem multifactorial and not related to any traumatic brain injury type.

Seasonality and multiple maternities: Comparisons between different models

Seasonality of demographic data has been of great interest. The seasonality depends mainly on climatic conditions, and the findings may vary from study to study. Commonly, the studies are based on monthly data. The population at risk plays a central role. For births or deaths over short periods, the population at risk is proportional to the lengths of the months. Hence, one must analyse the number of births (deaths) per day. If one studies the seasonality of multiple maternities, the population at risk is the total monthly number of confinements and the number of multiple maternities in a given month must be compared with the monthly number of all maternities. Consequently, one considers the monthly rates of multiple maternities, the monthly number of births is eliminated and one obtains an unaffected seasonality measure of the rates. In general, comparisons between the seasonality of different data sets presuppose standardization of the data to indices with common means, mainly 100. When seasonal models are applied, one must pay special attention to how well the applied model fits the data. If the goodness of fit is poor, non-significant models obtained can erroneously lead to statements that the seasonality is slight, although the observed seasonal fluctuations are marked. The estimated monthly models chosen are approximately orthogonal and they have little influence on the parameter estimates. Exact orthogonality should be obtained if the data are equidistant, that is, if the months are of equal length (e.g. 30 days), corresponding to 30^∘. Exactly equidistant data can be observed when circadian rhythms (24 h) are studied. In this study, we compare seasonal models with models with exact orthogonality.

Population allocation at the housing unit level: estimates around underground natural gas storage wells in PA, OH, NY, WV, MI, and CA

BACKGROUND

Spatially accurate population data are critical for determining health impacts from many known risk factors. However, the utility of the increasing spatial resolution of disease mapping and environmental exposures is limited by the lack of receptor population data at similar sub-census block spatial scales.

METHODS

Here we apply an innovative method (Population Allocation by Occupied Domicile Estimation - ABODE) to disaggregate U.S. Census populations by allocating an average person per household to geospatially-identified residential housing units (RHU). We considered two possible sources of RHU location data: address point locations and building footprint centroids. We compared the performance of ABODE with the common proportional population allocation (PPA) method for estimating the nighttime residential populations within 200 m radii and setback areas (100 - 300 ft) around active underground natural gas storage (UGS) wells (n = 9834) in six U.S. states.

RESULTS

Address location data generally outperformed building footprint data in predicting total counts of census residential housing units, with correlations ranging from 0.67 to 0.81 at the census block level. Using residentially-sited addresses only, ABODE estimated upwards of 20,000 physical households with between 48,126 and 53,250 people living within 200 m of active UGS wells - likely encompassing the size of a proposed UGS Wellhead Safety Zone. Across the 9834 active wells assessed, ABODE estimated between 5074 and 10,198 more people living in these areas compare to PPA, and the difference was significant at the individual well level (p = < 0.0001). By either population estimation method, OH exhibits a substantial degree of hyperlocal land use conflict between populations and UGS wells - more so than other states assessed. In some rare cases, population estimates differed by more than 100 people for the small 200 m² well-areas. ABODE's explicit accounting of physical households confirmed over 50% of PPA predictions as false positives indicated by non-zero predictions in areas absent physical RHUs.

CONCLUSIONS

Compared to PPA - in allocating identical population data at sub-census block spatial scales -ABODE provides a more precise population at risk (PAR) estimate with higher confidence estimates of populations at greatest risk. 65% of UGS wells occupy residential urban and suburban areas indicating the unique land use conflicts presented by UGS systems that likely continue to experience population encroachment. Overall, ABODE confirms tens of thousands of homes and residents are likely located within the proposed UGS Wellhead Safety Zone - and in some cases within state's oil and gas well surface setback distances - of active UGS wells.

Hepatitis C virus screening trends: A 2016 update of the National Health Interview Survey

BACKGROUND

50% of liver cancer is caused by hepatitis C virus (HCV). Baby boomers are at increased risk and are recommended for one-time HCV screening. However, <13% of baby boomers were screened in 2015.

MATERIALS AND METHODS

We are updating a previous study using 2013-2015 NHIS data to examine HCV screening prevalence by birth cohort, with 2016 data. We used logistic regression to evaluate whether HCV screening prevalence changed over time, stratified by birth cohort.

RESULTS AND DISCUSSION

The sample consisted of 132,742 participants from 2013-2016. Screening increased in baby boomers from 11.9 to 14.1%. Odds of HCV screening for baby boomers was significantly associated with age, gender, race/ethnicity, and other variables and increased significantly with each subsequent year (aOR = 1.21, aOR = 1.33, aOR = 1.42, consecutively). While HCV screening is increasing over time, there is still room for improvement and future interventions should focus on increasing HCV screening among groups demonstrating significantly lower screening prevalence.

Changing Epidemiology of HCC: How to Screen and Identify Patients at Risk?

The prognosis of patients with hepatocellular carcinoma is dependent on the stage of tumor at diagnosis. The earlier the tumor is found, the higher the chances to offer a curative treatment. In order to diagnose hepatocellular carcinoma early, patients at risk should be enrolled in a surveillance program. The population at risk is usually defined as patients with cirrhosis. These patients should have twice a year a ultrasonographic examination of the liver. However, more and more patients will develop hepatocellular carcinoma in the context of nonalcoholic fatty liver disease which is tightly linked to obesity and diabetes. In these patients, this approach is jeopardized by the difficulty to perform a sonography of good quality due to the obesity and more importantly by the fact that hepatocellular carcinoma occurs frequently in the context of nonalcoholic fatty liver disease before the cirrhosis. This article reviews the impact of the changing epidemiology of hepatocellular carcinoma on its screening.

Risk prediction for breast Cancer in Han Chinese women based on a cause-specific Hazard model

Background

Considering the lack of efficient breast cancer prediction models suitable for general population screening in China. We aimed to develop a risk prediction model to identify high-risk populations, to help with primary prevention of breast cancer among Han Chinese women.

Methods

A cause-specific competing risk model was used to develop the Han Chinese Breast Cancer Prediction model. Data from the Shandong Case-Control Study (328 cases and 656 controls) and Taixing Prospective Cohort Study (13,176 participants) were used to develop and validate the model. The expected/observed (E/O) ratio and C-statistic were calculated to evaluate calibration and discriminative accuracy of the model, respectively.

Results

Compared with the reference level, the relative risks (RRs) for highest level of number of abortions, age at first live birth, history of benign breast disease, body mass index (BMI), family history of breast cancer, and life satisfaction scores were 6.3, 3.6, 4.3, 1.9, 3.3, 2.4, respectively. The model showed good calibration and discriminatory accuracy with an E/O ratio of 1.03 and C-statistic of 0.64.

Conclusions

We developed a risk prediction model including fertility status and relevant disease history, as well as other modifiable risk factors. The model demonstrated good calibration and discrimination ability.

Electronic supplementary material

The online version of this article (10.1186/s12885-019-5321-1) contains supplementary material, which is available to authorized users.

Preventive Treatments for Rheumatoid Arthritis: Issues Regarding Patient Preferences

The detection of biomarkers in the preclinical phase of rheumatoid arthritis (RA) and recent therapeutic advances suggest that it may be possible to identify and treat persons at high risk and to prevent the development of RA. Several trials are ongoing to test the efficacy of a therapeutic intervention in primary prevention. This paper reviews potential populations that might be considered for preventative medication. Further, we review the medications that are being explored to treat individuals considered at high risk of developing RA. Finally, in a group of asymptomatic individuals at high risk of developing RA, we assessed which factors mattered most when considering a preventive therapeutic intervention and what type of preventive treatment would be most acceptable to them. Understanding subjects' perceptions of risks and benefits and willingness to undergo preventive therapy will be important in designing and implementing screening and preventive strategies.

Pattern of Self Prescribed Analgesic Use in a Rural Area of Delhi: Exploring the Potential Role of Internet

INTRODUCTION

Analgesics are the most common self prescribed drugs. Although considered to be relatively safe, side effects are often seen when these drugs are used for prolonged period, in high doses or used where contraindicated. Majority of the consumers are not aware of the side effects. These days ample amount of information is available on web, it is important to explore its role in educating the population regarding the safe use of self prescribed analgesics.

AIM

To explore pattern of analgesic use, to identify population at risk of developing side effects related to analgesic use, awareness of side effects and potential role of internet to bring awareness about safe use of self prescribed analgesic drugs in a rural area of Delhi.

MATERIALS AND METHODS

A cross-sectional survey based study was done on 500 adults in the age group of 18-65 years of Madanpur Khadar area of South Delhi, India. Data collection was done by conducting visits to pharmacy shops from the people who were buying drugs without prescription and taking face to face interviews using a semi-structured questionnaire. Statistical analysis was performed using descriptive tests with Microsoft office excel 2007.

RESULTS

Results of our study showed that among all the self prescribed analgesics paracetamol (57%) was used most frequently followed by aspirin and other NSAIDs. It was found that 9.6% of the consumers were having associated co-morbid illness, 11.4% were simultaneously taking other drugs and 15.2% were alcoholics. Majority (65.4%) of the buyers were not aware about any kind of side effects of the analgesics. Internet friendly consumers were found to be 44%. Ability to use internet and education level were found to be directly related (r=0.802).

CONCLUSION

The pattern of analgesic consumption in the rural population of Delhi shows that a large number of consumers may be at risk of developing side effects of self prescribed analgesics. The awareness about the side effects is limited. A significant number of consumers are internet friendly. Hence, we recommend use of website/mobile apps as potential source of information in educating the population regarding the use of self prescribed analgesics.

Increased intrasubject variability in response time in unaffected preschoolers at familial risk for bipolar disorder

Increased intrasubject variability in response time (ISVRT) is evident in healthy preschoolers at familial risk for bipolar disorder, suggesting it may be an endophenotype.

Towards a subsiding diabetes epidemic: trends from a large population-based study in Israel

Background

With increasing diabetes prevalence worldwide, an impending diabetes “pandemic” has been reported. However, definitions of incident cases and the population at risk remain varied and ambiguous. This study analyzed trends in mortality and screening that contribute to diabetes prevalence and incidence, distinguishing between new incident cases and newly detected cases.

Methods

In an integrated provider-and-payer-system covering 53% of Israel’s population, a composite diabetes case-finding algorithm was built using diagnoses, lab tests, and antidiabetic medication purchases from the organization’s electronic medical record database. Data were extracted on adult members aged 26+ each year from January 1, 2004 through December 31, 2012. Rates of diabetes prevalence, incidence, screening, and mortality were reported, with incidence rates evaluated among the total, “previously-screened,” and “previously-unscreened” at-risk populations.

Results

There were 343,554 diabetes cases in 2012 (14.4%) out of 2,379,712 members aged 26+. A consistent but decelerating upward trend in diabetes prevalence was observed from 2004–2012. Annual mortality rates among diabetics decreased from 13.8/1000 to 10.7/1000 (p = 0.0002). Total population incidence rates declined from 13.3/1000 in 2006 to 10.8/1000 in 2012 (p < 0.0001), with similar incidence trends (13.2/1000 to 10.2/1000; p = 0.0007) among previously-screened at-risk members, and a rise in testing rates from 53.0% to 66.7% (p = 0.0004). The previously-unscreened group decreased 28.6%, and the incidence rates within this group remained stable.

Conclusions

The increase in diabetes prevalence is decelerating despite declining mortality and increasing testing rates. A decline in previously-screened incident cases and a shrinking pool of previously-unscreened members suggests that diabetes trends in Israel are moving toward equilibrium, rather than a growing epidemic.

Electronic supplementary material

The online version of this article (doi:10.1186/s12963-014-0032-y) contains supplementary material, which is available to authorized users.