To determine whether differences exist in antibiotic prescribing for respiratory infections in pediatric urgent cares (PUCs) by patient race/ethnicity, insurance, and language.

Multi-center cohort study.

Nine organizations (92 locations) from 22 states and Washington, DC.

Patients ages 6 months–18 years evaluated April 2022–April 2023, with acute viral respiratory infections, otitis media with effusion (OME), acute otitis media (AOM), pharyngitis, community-acquired pneumonia (CAP), and sinusitis.

We compared the use of first-line (FL) therapy as defined by published guidelines. We used race/ethnicity, insurance, and language as exposures. Multivariable logistic regression models estimated the odds of FL therapy by group.

We evaluated 396,340 ARI encounters. Among all encounters, 351,930 (88.8%) received FL therapy (98% for viral respiratory infections, 85.4% for AOM, 96.0% for streptococcal pharyngitis, 83.6% for sinusitis). OME and CAP had the lowest rates of FL therapy (49.9% and 60.7%, respectively). Adjusted odds of receiving FL therapy were higher in Black Non-Hispanic (NH) (adjusted odds ratio [aOR] 1.53 [1.47, 1.59]), Asian NH (aOR 1.46 [1.40, 1.53], and Hispanic children (aOR 1.37 [1.33, 1.41]), compared to White NH. Additionally, odds of receiving FL therapy were higher in children with Medicaid/Medicare (aOR 1.21 [1.18–1.24]) and self-pay (aOR 1.18 [1.1–1.27]) compared to those with commercial insurance.

This multicenter collaborative showed lower rates of FL therapy for children of the White NH race and those with commercial insurance compared to other groups. Exploring these differences through a health equity lens is important for developing mitigating strategies.

Stenotrophomonas maltophilia is a multidrug-resistant gram-negative bacillus that can cause serious infections but has limited treatment options. This study aims to establish trends in the treatment of S. maltophilia bloodstream infections (BSI) across the United States in Department of Veterans Affairs (VA) facilities.

Data was evaluated over a 10-year timeframe (2012 to 2021) in this retrospective cohort study. Veterans with ≥ 1 blood culture with S. maltophilia within a VA medical encounter were included. Microbiology, pharmacy, and patient information were collected through national VA data sources and chart review. Descriptive statistics and Poisson regression were used to summarize patient demographics, facility characteristics, microbiologic data, and treatment trends.

A total of 374 blood cultures positive for S. maltophilia were identified across 75 VA facilities. Of 282 unique patients with BSI, the majority were male (93.6%), white (67.4%), with a mean age of 64 ± 13.1 years. Of those patients, 78% received treatment, 12.8% had a polymicrobial blood culture, and 5.3% had a documented sulfa allergy. Susceptibility results were most reported for trimethoprim-sulfamethoxazole (TMP-SMX), levofloxacin, and ceftazidime, with 4.5%, 4.3%, and 44.4% resistant isolates, respectively. Antibiotics most prescribed included TMP-SMX (41.5%) and levofloxacin (39.4%), followed by ciprofloxacin (13.8%) and ceftazidime (12.4%). Combination therapy was prescribed in 33% of patients. No significant trends were found with antibiotic utilization over time.

TMP-SMX and levofloxacin were the most prescribed antibiotics for S. maltophilia BSI treatment. No significant changes were seen with antibiotic prescribing trends in Veterans from 2012 to 2021.

This study evaluated the effectiveness of Baby Friendly Spaces (BFS), a psychosocial support program for Rohingya refugee mothers of malnourished young children in Bangladesh. Because BFS was already being implemented, we examined the benefit of enhancing implementation supports.

In matched pairs, 10 sites were randomized to provide BFS treatment as usual (BFS-TAU) or to receive enhanced implementation support (BFS-IE). 600 mothers were enrolled and reported on maternal distress, functional impairment, subjective well-being and coping at baseline and 8-week follow-up. Data were analyzed using multilevel linear regression models to account for clustering; sensitivity analyses adjusted for the small number of clusters.

Significant within-group improvements in BFSIE were observed for distres (−.48, p = .014), functional impairment (−.30, p = .002) and subjective well-being (.92, p = .011); improvements in BFS-TAU were smaller and not statistically significant. Between-group comparisons favored BFS-IE for distress (β = −.30, p = .058) and well-being (β = .58, p = .038). Sensitivity adjustments produced p-values above .05 for all between-group comparisons.

Feasible adjustments to implementation can improve program delivery to increase impact on maternal distress and well-being. Although results should be interpreted with caution, study design limitations are common in pragmatic, field-based research.

People with schizophrenia on average are more socially isolated, lonelier, have more social cognitive impairment, and are less socially motivated than healthy individuals. People with bipolar disorder also have social isolation, though typically less than that seen in schizophrenia. We aimed to disentangle whether the social cognitive and social motivation impairments observed in schizophrenia are a specific feature of the clinical condition v. social isolation generally.

We compared four groups (clinically stable patients with schizophrenia or bipolar disorder, individuals drawn from the community with self-described social isolation, and a socially connected community control group) on loneliness, social cognition, and approach and avoidance social motivation.

Individuals with schizophrenia (n = 72) showed intermediate levels of social isolation, loneliness, and social approach motivation between the isolated (n = 96) and connected control (n = 55) groups. However, they showed significant deficits in social cognition compared to both community groups. Individuals with bipolar disorder (n = 48) were intermediate between isolated and control groups for loneliness and social approach. They did not show deficits on social cognition tasks. Both clinical groups had higher social avoidance than both community groups

The results suggest that social cognitive deficits in schizophrenia, and high social avoidance motivation in both schizophrenia and bipolar disorder, are distinct features of the clinical conditions and not byproducts of social isolation. In contrast, differences between clinical and control groups on levels of loneliness and social approach motivation were congruent with the groups' degree of social isolation.

Executive functioning (EF) and socioeconomic status (SES) are associated with functional outcomes (adaptive functioning and academic achievement) in healthy controls and pediatric populations with executive dysfunction. However, these relationships have yet to be investigated in survivors of childhood acute lymphoblastic leukemia (ALL), a population with EF impairment resulting from disease and treatment characteristics. The objective of this study was to examine the associations of functional outcomes with EF and SES (neighborhood-specific variables and academic support) in survivors of childhood ALL.

Forty-four participants (38.6% female, 72.7% non-Hispanic White, ages 6-17) previously diagnosed with low-risk or standard-risk pre-B cell ALL and treated with chemotherapy-only were included. Participants were evaluated on performance-based measures of EF (cognitive flexibility, verbal fluency, working memory, and processing speed) and academic achievement (word reading and math calculation), and parent-ratings of EF and adaptive functioning. All measures were expressed as T-scores with lower scores indicating better performance. Neighborhood-specific variables were based on participants’ zip codes and census block group, and included area deprivation index (ADI) and child opportunity index (COI). Lower ADI and COI indicate lesser deprivation and greater opportunity. Individualized education plan (IEP) status was used as a proxy of academic support, coded dichotomously as with or without IEP. Percentages of participants showing impairments in functional outcomes were calculated using a cutoff of > 1 SD above the normative mean. Partial correlations were conducted while controlling for age at evaluation, age at diagnosis, sex, and verbal IQ, to examine whether participants with poorer performance-based and parent-rated EF would show reduced functional outcomes. Multiple regression analyses were conducted to evaluate whether neighborhood-specific variables and IEP status would predict functional outcomes while controlling for covariates.

Compared to population norms, survivors of childhood ALL showed worse functional outcomes. Within adaptive functioning, 45.5% of participants showed impairment in activities of daily living and leadership. Adaptive functioning was significantly positively correlated with parent-rated, but not performance-based, EF (r=0.694, p<0.001). Compared to female survivors, male survivors were at increased risk for adaptive functioning difficulties (r=-0.401, p<0.05). Impairments for word reading and math calculation were 25% and 41.7%, respectively. Greater math calculation was associated with better verbal fluency (r=0.378, p<0.05) and processing speed (r=0.439, p<0.05). Older participants at evaluation (/3=-0.580, p<0.001) and those without IEP support (ß=0.465, p<0.05) showed better word reading. Lower ADI predicted better verbal fluency (ß=0.282, p=0.041), however, neighborhood-specific variables were not associated with functional outcomes.

Prior findings indicate that performance-based measures and parent-ratings assess different constructs of EF. Thus, adaptive functioning may relate more to the behavioral construct of EF than its cognitive construct. Current findings also suggest that male survivors are at increased risk for reduced adaptive functioning, consistent with recent reports that male survivors of ALL are at greater risk for specific neurocognitive outcomes. Overall, functional outcomes may be more strongly related to EF than neighborhood-specific variables. Long-term goals include early screening of adaptive and academic difficulties, targeted intervention, and neuropsychological monitoring to support pediatric survivors’ neurocognitive and psychosocial development.

To investigate differences in the rate of firstline antibiotic prescribing for common pediatric infections in relation to different socioeconomic statuses and the impact of an antimicrobial stewardship program (ASP) in pediatric urgent-care clinics (PUCs).

Quasi-experimental.

Three PUCs within a Midwestern pediatric academic center.

Patients aged >60 days and <18 years with acute otitis media, group A streptococcal pharyngitis, community-acquired pneumonia, urinary tract infection, or skin and soft-tissue infections who received systemic antibiotics between July 2017 and December 2020. We excluded patients who were transferred, admitted, or had a concomitant diagnosis requiring systemic antibiotics.

We used national guidelines to determine the appropriateness of antibiotic choice in 2 periods: prior to (July 2017–July 2018) and following ASP implementation (August 2018–December 2020). We used multivariable regression analysis to determine the odds ratios of appropriate firstline agent by age, sex, race and ethnicity, language, and insurance type.

The study included 34,603 encounters. Prior to ASP implementation in August 2018, female patients, Black non-Hispanic children, those >2 years of age, and those who self-paid had higher odds of receiving recommended firstline antibiotics for all diagnoses compared to male patients, children of other races and ethnicities, other ages, and other insurance types, respectively. Although improvements in prescribing occurred after implementation of our ASP, the difference within the socioeconomic subsets persisted.

We observed socioeconomic differences in firstline antibiotic prescribing for common pediatric infections in the PUCs setting despite implementation of an ASP. Antimicrobial stewardship leaders should consider drivers of these differences when developing improvement initiatives.

To describe the incidence of systemic overlap and typical coronavirus disease 2019 (COVID-19) symptoms in healthcare personnel (HCP) following COVID-19 vaccination and association of reported symptoms with diagnosis of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection in the context of public health recommendations regarding work exclusion.

This prospective cohort study was conducted between December 16, 2020, and March 14, 2021, with HCP who had received at least 1 dose of either the Pfizer-BioNTech or Moderna COVID-19 vaccine.

Large healthcare system in New England.

HCP were prompted to complete a symptom survey for 3 days after each vaccination. Reported symptoms generated automated guidance regarding symptom management, SARS-CoV-2 testing requirements, and work restrictions. Overlap symptoms (ie, fever, fatigue, myalgias, arthralgias, or headache) were categorized as either lower or higher severity. Typical COVID-19 symptoms included sore throat, cough, nasal congestion or rhinorrhea, shortness of breath, ageusia and anosmia.

Among 64,187 HCP, a postvaccination electronic survey had response rates of 83% after dose 1 and 77% after dose 2. Report of ≥3 lower-severity overlap symptoms, ≥1 higher-severity overlap symptoms, or at least 1 typical COVID-19 symptom after dose 1 was associated with increased likelihood of testing positive. HCP with prior COVID-19 infection were significantly more likely to report severe overlap symptoms after dose 1.

Reported overlap symptoms were common; however, only report of ≥3 low-severity overlap symptoms, at least 1 higher-severity overlap symptom, or any typical COVID-19 symptom were associated with infection. Work-related restrictions for overlap symptoms should be reconsidered.

To compare the cost and affordability of two fortnightly diets (representing the national guidelines and current consumption) across areas containing Australia’s major supermarkets.

The Healthy Diets Australian Standardised Affordability and Pricing protocol was used.

Price data were collected online and via phone calls in fifty-one urban and inner regional locations across Australia.

Not applicable.

Healthy diets were consistently less expensive than current (unhealthy) diets. Nonetheless, healthy diets would cost 25–26 % of the disposable income for low-income households and 30–31 % of the poverty line. Differences in gross incomes (the most available income metric which overrepresents disposable income) drove national variations in diet affordability (from 14 % of the median gross household incomes in the Australian Capital Territory and Northern Territory to 25 % of the median gross household income in Tasmania).

In Australian cities and regional areas with major supermarkets, access to affordable diets remains problematic for families receiving low incomes. These findings are likely to be exacerbated in outer regional and remote areas (not included in this study). To make healthy diets economically appealing, policies that reduce the (absolute and relative) costs of healthy diets and increase the incomes of Australians living in poverty are required.

Low socio-economic groups (SEG) in Australia suffer poorer diet-related health than the rest of the population. Therefore, it is expected that low SEG are less likely to consume diets conforming to Australian Dietary Guidelines (ADG) than higher SEG. However, dietary intake of low SEG in Australia has not been synthesised methodically. This systematic scoping review aims to explore detailed dietary intake of low SEG in Australia in comparison to higher SEG.

A systematic search of peer-reviewed literature and websites, since 1999. Data were extracted, synthesised and analysed in relation to study populations, dietary assessment methods, food groups studied, socio-economic measures and dietary intake.

Australia.

Persons of any age and gender, differentiated by a socio-economic measure.

Results from thirty-three included studies confirmed that overall dietary nutritional value/quality tended to be lower in low SEG than higher SEG in Australia. However, findings were inconsistent across studies for all food groups or all socio-economic measures. Large variations were found between study metrics, definitions, dietary assessment methods, granularity of results and conclusions. Quantitative intakes of all ADG food groups by SEG were not reported in most studies and, where reported, were not comparable.

The review showed detailed dietary data are lacking to inform policy and practice and help develop targeted interventions to improve diet-related health of Australian low SEG. There is urgent need for regular, granular assessment of population dietary data to enable comparison of intake between SEG in the context of national food-based dietary guidelines in Australia.

To determine the reliability of streamlined data-gathering techniques for examining the price and affordability of a healthy (recommended) and unhealthy (current) diet. We additionally estimated the price and affordability of diets across socio-economic areas and quantified the influence of different pricing scenarios.

Following the Healthy Diets Australian Standardised Affordability and Pricing (ASAP) protocol, we compared a cross-sectional sample of food and beverage pricing data collected using online data and phone calls (lower-resource streamlined techniques) with data collected in-store from the same retailers.

Food and beverage prices were collected from major supermarkets, fast food and alcohol retailers in eight conveniently sampled areas in Victoria, Australia (n 72 stores), stratified by area-level deprivation and remoteness.

This study did not involve human participants.

The biweekly price of a healthy diet was on average 21 % cheaper ($596) than an unhealthy diet ($721) for a four-person family using the streamlined techniques, which was comparable with estimates using in-store data (healthy: $594, unhealthy: $731). The diet price differential did not vary considerably across geographical areas (range: 18–23 %). Both diets were estimated to be unaffordable for families living on indicative low disposable household incomes and below the poverty line. The inclusion of generic brands notably reduced the prices of healthy and unhealthy diets (≥20 %), rendering both affordable against indicative low disposable household incomes. Inclusion of discounted prices marginally reduced diet prices (3 %).

Streamlined data-gathering techniques are a reliable method for regular, flexible and widespread monitoring of the price and affordability of population diets in areas where supermarkets have an online presence.