Determining a urinary-specific antibiogram and risk factors of trimethoprim/sulfamethoxazole, ciprofloxacin and multidrug resistance among Enterobacterales in primary care.

BACKGROUND: Risk factors for ciprofloxacin or MDR in primary care urine specimens are not well defined. OBJECTIVES: We created a primary care-specific antibiogram for Escherichia coli isolates from cases with complicated and uncomplicated urinary tract infection (UTI) and evaluated risk factors for ciprofloxacin, trimethoprim/sulfamethoxazole and MDR among Enterobacterales. METHODS: We conducted a cross-sectional study to determine resistance and risk factors by collecting urine cultures from all patients (≥18 years) presenting with provider-suspected UTI at two primary care, safety-net clinics in Houston, TX, USA between November 2018 and March 2020. RESULTS: Among 1262 cultures, 308 cultures grew 339 uropathogens. Patients with Enterobacterales (n = 199) were mostly female (93.5%) with a mean age of 48.5 years. E. coli was the predominant uropathogen isolated (n = 187/339; 55%) and had elevated trimethoprim/sulfamethoxazole (43.6%) and ciprofloxacin (29.5%) resistance, low nitrofurantoin (1.8%) resistance, and no fosfomycin resistance. Among E. coli, 10.6% were ESBL positive and 24.9% had MDR. Birth outside the U.S.A., prior (2 year) trimethoprim/sulfamethoxazole resistance, and diabetes mellitus were associated with trimethoprim/sulfamethoxazole resistance. Prior (60 day) fluoroquinolone use, prior ciprofloxacin resistance and both diabetes mellitus and hypertension were strongly associated with ciprofloxacin resistance. Prior fluoroquinolone use and a history of resistance to any studied antibiotic were associated with MDR, while pregnancy was protective. CONCLUSIONS: We found elevated resistance to UTI-relevant antimicrobials and novel factors associated with resistance; these data can be incorporated into clinical decision tools to improve organism and drug concordance.

Gender role beliefs and adolescent pregnancy in Colombia: findings from the 2015 DHS survey.

This study investigated the association between gender role beliefs and the prevalence and likelihood of experiencing pregnancy among 8525 young women and girls aged 13-19 years in Colombia. The primary outcome of interest was adolescent pregnancy. Retrospective cross-sectional analysis utilised data from the 2015 Demographic and Health Survey (DHS) in Colombia, which included an add-on questionnaire on gender relations. Our analysis measured both pregnancy prevalence and pregnancy likelihood in relation to gender role beliefs. With one exception, young women who disagreed with traditionally conforming gender roles had a lower prevalence of pregnancy and were less likely to experience pregnancy than those who agreed with them. The highest likelihood of pregnancy prevalence and likelihood was found among those who agreed with statements suggesting male dominance and those who agreed with women's homemaking responsibilities. The greater the adherence to traditionally conforming gender role beliefs, the higher the likelihood of experiencing pregnancy during adolescence. Girls' and young women's adherence to traditional gender role beliefs appeared to be a risk factor for adolescent pregnancy. Our findings support Colombia's current sex education policies and practices within the framework of gender equity, and evidence the link between gender equity and girls' and young women's reproductive health.

Demographic Determinants and Geographical Variability of COVID-19 Vaccine Hesitancy in Underserved Communities: Cross-sectional Study.

BACKGROUND: COVID-19 hospitalizations and deaths disproportionately affect underserved and minority populations, emphasizing that vaccine hesitancy can be an especially important public health risk factor in these populations. OBJECTIVE: This study aims to characterize COVID-19 vaccine hesitancy in underserved diverse populations. METHODS: The Minority and Rural Coronavirus Insights Study (MRCIS) recruited a convenience sample of adults (age≥18, N=3735) from federally qualified health centers (FQHCs) in California, the Midwest (Illinois/Ohio), Florida, and Louisiana and collected baseline data in November 2020-April 2021. Vaccine hesitancy status was defined as a response of "no" or "undecided" to the question "Would you get a coronavirus vaccine if it was available?" ("yes" categorized as not hesitant). Cross-sectional descriptive analyses and logistic regression models examined vaccine hesitancy prevalence by age, gender, race/ethnicity, and geography. The expected vaccine hesitancy estimates for the general population were calculated for the study counties using published county-level data. Crude associations with demographic characteristics within each region were assessed using the chi-square test. The main effect model included age, gender, race/ethnicity, and geographical region to estimate adjusted odds ratios (ORs) and 95% CIs. Interactions between geography and each demographic characteristic were evaluated in separate models. RESULTS: The strongest vaccine hesitancy variability was by geographic region: California, 27.8% (range 25.0%-30.6%); the Midwest, 31.4% (range 27.3%-35.4%); Louisiana, 59.1% (range 56.1%-62.1%); and Florida, 67.3% (range 64.3%-70.2%). The expected estimates for the general population were lower: 9.7% (California), 15.3% (Midwest), 18.2% (Florida), and 27.0% (Louisiana). The demographic patterns also varied by geography. An inverted U-shaped age pattern was found, with the highest prevalence among ages 25-34 years in Florida (n=88, 80.0%,) and Louisiana (n=54, 79.4%; P<.05). Females were more hesitant than males in the Midwest (n= 110, 36.4% vs n= 48, 23.5%), Florida (n=458, 71.6% vs n=195, 59.3%), and Louisiana (n= 425, 66.5% vs. n=172, 46.5%; P<.05). Racial/ethnic differences were found in California, with the highest prevalence among non-Hispanic Black participants (n=86, 45.5%), and in Florida, with the highest among Hispanic (n=567, 69.3%) participants (P<.05), but not in the Midwest and Louisiana. The main effect model confirmed the U-shaped association with age: strongest association with age 25-34 years (OR 2.29, 95% CI 1.74-3.01). Statistical interactions of gender and race/ethnicity with the region were significant, following the pattern found by the crude analysis. Compared to males in California, the associations with the female gender were strongest in Florida (OR=7.88, 95% CI 5.96-10.41) and Louisiana (OR=6.09, 95% CI 4.55-8.14). Compared to non-Hispanic White participants in California, the strongest associations were found with being Hispanic in Florida (OR=11.18, 95% CI 7.01-17.85) and Black in Louisiana (OR=8.94, 95% CI 5.53-14.47). However, the strongest race/ethnicity variability was observed within California and Florida: the ORs varied 4.6- and 2-fold between racial/ethnic groups in these regions, respectively. CONCLUSIONS: These findings highlight the role of local contextual factors in driving vaccine hesitancy and its demographic patterns.

Prevalence and predictors of urine culture contamination in primary care: A cross-sectional study.

BACKGROUND: Antimicrobial resistance is a global health threat. To slow resistance and preserve antibiotics, stewardship interventions are increasingly promoted and mandated. Urine cultures are the most common microbiological test in the outpatient setting. Contamination most likely occurs during urine collection from surrounding vaginal, perineal, and epidermal flora. Sample contamination can lead to incorrect diagnosis, unnecessary or inappropriate treatment, poor patient outcomes, and higher costs. Therefore, ensuring proper collection of urinary samples serves as a prime diagnostic stewardship target, one that international nursing societies increasingly endorse as an opportunity for nurse involvement. OBJECTIVES: Determine the prevalence, predictors, and antibiotic prescribing associated with contaminated urine cultures in primary care clinics. DESIGN: Cross-sectional study. SETTING: Two adult safety-net clinics in Houston, Texas. PARTICIPANTS: 1265 clinical encounters among 1114 primary care patients. METHODS: We reviewed charts from office visits among patients who had a urine culture ordered between November 2018 and March 2020. Patient demographics, culture results and prescription orders were captured for each visit. Culture results were defined as no growth, contaminated (i.e., mixed flora, non-uropathogens, or ≥3 bacterial species isolated), or low-count (102-105 colony forming units (CFU)/mL) or high-count (>105 CFU/mL) uropathogen-positive. We performed multinomial logistic regression to identify predictors independently associated with contaminated cultures. RESULTS: Our study evaluated 1265 cultures from 1114 patients that were primarily female (84 %), of Hispanic/Latino (74.4 %) or Black/African American (18.9 %) race/ethnicity with a mean age of 43 years. Out of 1265 urine cultures, 264 (20.9 %) had no growth, 694 (54.9 %) were contaminated, 159 (12.6 %) were low-count positive, and 148 (11.7 %) were high-count positive. Female sex, pregnancy, and obesity were associated with contaminated cultures (multinomial adjusted odds ratios: 15.89, 14.34, 1.93, respectively; 95 % confidence intervals: 10.25-24.61, 8.03-25.61, 1.32-2.81, respectively). Antibiotic prescribing was significantly higher among symptomatic patients with contaminated cultures compared to those with no growth. CONCLUSION: Urine culture contamination occurred frequently in our clinics, and obesity, female sex and pregnancy were independent risk factors for contamination. The association of pregnancy and contamination is particularly concerning as pregnant females are routinely screened and treated for asymptomatic bacteriuria in the United States. Culture contamination may obscure underlying uropathogens, leading to pyelonephritis or potential neonatal infection if untreated. Conversely, overtreatment of false positive bacteriuria could lead to adverse effects from antibiotics and increased risk for antibiotic resistance. As nurses play a prominent role in patient education, diagnostic stewardship interventions may want to utilize nurses' educational capabilities to improve urine culture collection. TWEETABLE ABSTRACT: 55 % of urine cultures collected in primary care clinics were contaminated, revealing a major opportunity for nurse-driven diagnostic stewardship interventions.

Severe maternal morbidity at delivery and postpartum readmission in the United States.

BACKGROUND: Little is known about the extent to which severe maternal morbidity (SMM) at delivery impacts early and late postpartum readmission. OBJECTIVES: We examined readmission rates for women with and without SMM (and their 18 subtypes) at delivery and characterised the most common medical reasons for readmissions. METHODS: We conducted a retrospective cohort study utilising the 2016-2017 Nationwide Readmissions Database among women giving births in the United States. Deliveries were classified according to the presence or absence of 18 SMM indicators defined by the Centers for Disease Control and Prevention using the International Classification of Diseases, Tenth Edition, Clinical Modification (ICD-10-CM) diagnosis and procedure codes. The primary outcome of this study was all-cause early (≤7 day) and late (8 to 42 day) postpartum readmission. Survey-weighted Poisson regression with robust error variance was used to generate adjusted risk ratios (RR) and 95% confidence intervals (CI) to investigate the association between SMM and early and late postpartum readmission. Additionally, we compared principal diagnoses codes during readmission hospitalisations among women with and without SMM at delivery. RESULTS: Of the 6 193 852 women examined, 4.9% (n = 4928) with any SMM and 1.4% (n = 83 995) with no SMM were readmitted within 42 days after delivery. After adjusting for obstetric co-morbidities and sociodemographic factors, women with any SMM were 57% (RR 1.57, 95% CI 1.47, 1.67) more likely to have an early readmission and 69% (RR 1.69, 95% CI 1.57, 1.82) more likely to have a late readmission compared to women with no SMM at delivery. However, the risk was attenuated when excluding women with blood transfusion only. Women with and without SMM were readmitted predominantly for obstetric complications and infections. CONCLUSIONS: Women with SMM at delivery were more likely to experience both early and late postpartum readmission, independent of their obstetrical co-morbidity burden and sociodemographic factors.

Estimating the obstetric co-morbidity burden using administrative data: The impact of the pregnancy-related assessment window.

BACKGROUND: Despite increased research using large administrative databases to identify determinants of maternal morbidity and mortality, the extent to which these databases capture obstetric co-morbidities is unknown. OBJECTIVE: To evaluate the impact that the time window used to assess obstetric co-morbidities has on the completeness of ascertainment of those co-morbidities. METHODS: We conducted a five-year analysis of inpatient hospitalisations of pregnant women from 2010-2014 using the Nationwide Readmissions Database. For each woman, using discharge diagnoses, we identified 24 conditions used to create the Obstetric Comorbidity Index. Using various assessment windows for capturing obstetric co-morbidities, including the delivery hospitalisation only and all weekly windows from 7 to 280 days, we calculated the frequency and rate of each co-morbidity and the degree of underascertainment of the co-morbidity. Under each scenario, and for each co-morbidity, we also calculated the all-cause, 30-day readmission rate. RESULTS: There were over 3 million delivery hospitalisations from 2010 to 2014 included in this analysis. Compared with a full 280-day window, assessment of obstetric co-morbidities using only diagnoses made during the delivery hospitalisation would result in failing to identify over 35% of cases of chronic renal disease, 28.5% cases in which alcohol abuse was documented during pregnancy, and 23.1% of women with pulmonary hypertension. For seven other co-morbidities, at least 1 in 20 women with that condition would have been missed with exclusive reliance on the delivery hospitalisation for co-morbidity diagnoses. Not only would reliance on delivery hospitalisations have resulted in missed cases of co-morbidities, but for many conditions, estimates of readmission rates for women with obstetric co-morbidities would have been underestimated. CONCLUSIONS: An increasing proportion of maternal and child health research is based on large administrative databases. This study provides data that facilitate the assessment of the degree to which important obstetric co-morbidities may be underascertained when using these databases.

Different Trends in US Tobacco Use: Inpatient Databases and Population-Based Surveys.

OBJECTIVES: There is considerable evidence to support the effectiveness of inpatient tobacco cessation interventions. However, national trends data in tobacco-use disorder among hospitalized patients in the United States is scarce. We compared temporal trends (2002-2017) in diagnoses of tobacco-use disorder among hospitalized patients with estimates of current and former smoking in the general population, based on 2 multiyear national databases. METHODS: We used data from the National Inpatient Sample (NIS) and the Behavioral Risk Factor Surveillance Survey (BRFSS) to establish annual estimates of current and former smoking. We assessed temporal trends (Joinpoint regression analysis) overall and within levels of several sociodemographic factors. To describe the burden and risk of tobacco-use disorder in inpatient settings, we used principal codes from the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) that corresponded with the highest volume (burden) and rates (risk) of tobacco-use disorder. RESULTS: There were contrasting trends in the prevalence of current tobacco-use disorder between the NIS population (significantly increasing) and BRFSS (significantly decreasing). Concordance (at 16%) was only recorded in 2017, with approximately 5,022,000 hospitalizations with a recorded diagnosis of tobacco-use disorder. Among all hospitalizations, the highest number of cases of tobaccouse disorder occurred for mood disorders (n = 2,415,985), chronic obstructive pulmonary disease and bronchiectasis (n = 2,406,551), and acute myocardial infarction (n = 1,873,326). CONCLUSIONS: Despite the underestimation of current smoking by NIS, we believe the trends toward improved identification and documentation-which is likely leading to the increasing prevalence we observed among hospitalized patients of all ages-bodes well for future utilization of smoking data in the NIS for epidemiological and health services research.

The Effect of Sexual Literacy on Adolescent Pregnancy in Colombia.

STUDY OBJECTIVE: In the present study we investigated the association between receiving information on sexual literacy topics and likelihood of experiencing adolescent pregnancy. DESIGN: Cross-sectional analysis. SETTING: Colombia. PARTICIPANTS: Female Adolescents, 13-19 years old (N = 8525). MAIN OUTCOME MEASURES: Our primary outcome of interest was adolescent pregnancy. RESULTS: We created a gradation of public health impact variable that ranged from grade 1 (least impactful) to grade 4 (most impactful) to determine which sexuality-related topics were most strongly associated with teenage pregnancy. We found that not receiving information on grade 4 topics had the strongest association with adolescent pregnancy. These topics were: changes related to puberty (prevalence ratio [PR], 2.15; 95% confidence interval [CI], 1.40-3.30), how sex organs work (PR, 1.90; 95% CI, 1.37-2.66), and sexual orientation (PR, 1.84; 95% CI, 1.38-2.44). In fact, teenagers who did not receive information on any sexuality-related topic were approximately 75% more likely (PR, 1.73; 95% CI, 1.09-2.74) to experience pregnancy during adolescence. CONCLUSION: The gradation levels of this study could guide sexual education programs in Colombia to prioritize sexuality-related themes, especially when resources are limited.

Phenotypes and markers of cesarean delivery among Colombian women.

OBJECTIVE: To investigate the association of socioeconomic status (SES) components (education, occupation, and household wealth) with number (1 or ≥2) and timing (planned/emergency) of cesarean delivery (CD) in Colombia, rates of which are well above the levels recommended by the World Health Organization. METHODS: A cross-sectional study using the 2015 Demographic and Health Survey (DHS) of Colombia was carried out; 38 718 women answered the woman only module. Binomial and multinomial logistic regression analyses were conducted to generate estimates of the association between markers of SES and likelihood of CD, timing of CD, and number of CDs. RESULTS: The analysis included 9977 women. Although education and wealth were strongly associated with CD (P<0.001), the association between occupation and CD suggested that women in agriculture were the least likely to experience CD (odds ratio [OR] 0.67, 95% confidence interval [CI] 0.44-1.03, P=0.061); and women in the "poorer" household wealth category were more likely to have emergency (OR 1.57, CI 1.29-1.90, P<0.001) and two or more (OR 1.64, CI 1.29-2.40, P<0.001) CDs. CONCLUSION: Markers of SES are associated with CD overuse in Colombia, as well as the number and timing of CD. More robust qualitative inquiry including additional questions to the DHS survey are needed to elucidate reasons driving the overutilization of CD in the country, particularly among vulnerable populations.

Exploring classification of birth defects severity in national hospital discharge databases compared to an active surveillance program.

OBJECTIVE: To explore the extent to which the severity of birth defects could be differentiated using severity of illness (SOI) and risk of mortality (ROM) measures available in national discharge databases. METHODS: Data from the 2012-14 National Inpatient Sample (NIS) was used to identify hospitalizations with one or more major birth defects reported annually to the National Birth Defects Prevention Network using the International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) diagnosis codes. Each hospitalization also contained a 4-level SOI and 4-level ROM classification measure. For each birth defect and for each individual birth defect-related ICD-9-CM code, we calculated mean and median SOI and ROM, the proportion of hospitalizations in each level of SOI and ROM, the inpatient mortality rate, and level of agreement between various existing or derived severity proxies in the NIS and the Texas Birth Defects Registry (TBDR). RESULTS: Mean SOI ranged from 1.5 (cleft lip alone) to 3.7 (single ventricle), and mean ROM ranged from 1.1 (cleft lip alone) to 3.9 (anencephaly). As a group, critical congenital heart defects had the highest average number of co-occurring defects, mean SOI, and ROM, whereas orofacial and genitourinary defects had the lowest SOI and ROM. We found strong levels of agreement between TBDR severity classifications and NIS severity classifications defined using Level 3 or 4 SOI or ROM Level 3 or 4. CONCLUSIONS: This preliminary investigation demonstrated how severity indices of birth defects could be differentiated and compared to a severity algorithm of an existing surveillance program.

Identifying Algorithms to Improve the Accuracy of Unverified Diagnosis Codes for Birth Defects.

OBJECTIVES: We identified algorithms to improve the accuracy of passive surveillance programs for birth defects that rely on administrative diagnosis codes for case ascertainment and in situations where case confirmation via medical record review is not possible or is resource prohibitive. METHODS: We linked data from the 2009-2011 Florida Birth Defects Registry, a statewide, multisource, passive surveillance program, to an enhanced surveillance database with selected cases confirmed through medical record review. For each of 13 birth defects, we calculated the positive predictive value (PPV) to compare the accuracy of 4 algorithms that varied case definitions based on the number of diagnoses, medical encounters, and data sources in which the birth defect was identified. We also assessed the degree to which accuracy-improving algorithms would affect the Florida Birth Defects Registry's completeness of ascertainment. RESULTS: The PPV generated by using the original Florida Birth Defects Registry case definition (ie, suspected cases confirmed by medical record review) was 94.2%. More restrictive case definition algorithms increased the PPV to between 97.5% (identified by 1 or more codes/encounters in 1 data source) and 99.2% (identified in >1 data source). Although PPVs varied by birth defect, alternative algorithms increased accuracy for all birth defects; however, alternative algorithms also resulted in failing to ascertain 58.3% to 81.9% of cases. CONCLUSIONS: We found that surveillance programs that rely on unverified diagnosis codes can use algorithms to dramatically increase the accuracy of case finding, without having to review medical records. This can be important for etiologic studies. However, the use of increasingly restrictive case definition algorithms led to a decrease in completeness and the disproportionate exclusion of less severe cases, which could limit the widespread use of these approaches.

Assessing the Impact of Different Race-Bridging Algorithms on the Reported Rate of Birth Defects.

INTRODUCTION: In Florida prior to 2004, the birth certificate only allowed parents to identify themselves as 1 race. The birth certificate was subsequently revised in 2004, allowing parents to identify with more than 1 race. This inconsistency in data collection methods can greatly impact the results of race-specific time trend analyses. Race-bridging techniques have been developed to reassign multiple race responses to single race categories. This investigation aimed to compare race-specific birth defect rates calculated in 2 ways: (1) the current method: treating those selecting multiple race categories as though they selected Other race, and (2) the bridged method: attempting to classify those selecting multiple categories into the category they would have selected if they could only pick 1 race. METHODS: Data from the Florida Office of Vital Statistics and the Florida Birth Defects Registry were used to examine rates of selected birth defects by race among births to non-Hispanic mothers from 2005 to 2014. Rates of selected birth defects were calculated and compared for the following race groups: white, black, American Indian/Alaska Native (AIAN), and Asian/Pacific Islander (API) using the following 6 bridging methods: (1) no bridging method, (2) largest group, whole allocation, (3) smallest group, whole allocation, (4) largest group other than white, (5) equal fractions, fractional allocation, and (6) reported fractions, fractional allocation. RESULTS: The differences in birth defect rates comparing the current method to the recalculated bridged-race population depends on the bridging method used. Using largest group, whole-allocation, the total population of white, black, and API races increased, whereas the total number of AIAN remained unaffected. Using the smallest group or largest group other than white, whole-allocation, the total population of black, API, and AIAN increased, resulting in decreased birth defect rates. Lastly, using equal fractions or reported fractions, fractional allocation we found an increase in the live birth count for each race and a corresponding decrease in birth defect rates. DISCUSSION: Race-bridging techniques may be useful when reviewing race-specific rates over time, or to account for the lack of comparability of race/ethnic classification in birth defect studies, particularly national studies combining data from different states. However, determining the best race-bridging technique warrants further investigation on larger populations and on other health outcomes.

National trends of hepatitis B and C during pregnancy across sociodemographic, behavioral, and clinical factors, United States, 1998-2011.

Currently, data examining nationally representative prevalence and trends of HBV or HCV among specific subgroups of pregnant women in the US are unavailable. We conducted a cross-sectional analysis of hospitalizations for liveborn singleton deliveries from 1998 to 2011 using data from the Nationwide Inpatient Sample. After identifying deliveries with HBV, HCV, and HIV infection during pregnancy, survey logistic regression was used to identify risk factors. Temporal trends were analyzed using joinpoint regression. The rates of HBV and HCV were 85.8 and 118.6 per 100,000 deliveries, respectively; however, there was substantial variation across maternal and hospital factors. The HBV rate increased from 57.8 in 1998 to 105.0 in 2011, resulting in an annual increase of 5.5% (95% CI: 3.8-7.3). The HCV rate increased fivefold, from 42.0 in 1998 to over 210 in 2011. These trends were observed for nearly every population subgroup. However, we did observe differences in the degree to which hepatitis during pregnancy was becoming more prevalent. The increasing national trend in the prevalence of hepatitis among pregnant women was particularly concerning among already high-risk groups. This underscores the need for coordinated approaches-encompassing culturally-appropriate health education/risk-reduction programs, and increased vaccination and screening efforts-championed by health providers. J. Med. Virol. 89:1025-1032, 2017. © 2016 Wiley Periodicals, Inc.