Oral health during pregnancy: an analysis of interprofessional guideline awareness and practice behaviors among prenatal and oral health providers.

BACKGROUND: Poor oral health during pregnancy has significant implications across the life course, including increased risk for adverse pregnancy, birth outcomes, and the development of early childhood caries. In efforts to improve perinatal oral health in the United States, a set of national interprofessional guidelines were developed that include recommended practice behaviors for both oral health providers and prenatal providers. The purpose of this study was to examine guideline awareness, familiarity, beliefs, and practice behaviors among both provider types. METHODS: Prenatal providers and oral health providers in Florida were recruited via random and convenience sampling to complete an online survey guided by the Consolidated Framework for Implementation Research (CFIR) and the Cabana Framework. The present analysis focused on the Individuals Involved domain (CFIR), awareness and familiarity with the guidelines (Cabana Framework), confidence, and practice behaviors as recommended by prenatal oral health guidelines (assess, advise, refer, share/coordinate). Data were analyzed using chi-square tests, independent samples t-tests, Pearson correlation coefficients, and one-way analysis of variance (ANOVA) and analyses were conducted in SPSS. RESULTS: Prenatal and oral health providers did not differ significantly in their awareness of the guidelines, but awareness was significantly associated with three of the four practice behaviors for prenatal providers. Familiarity with the guidelines was significantly higher among oral health providers and was associated with all four practice behaviors for both provider types. Five out of ten oral health belief items were significantly associated with practicing the guidelines among prenatal providers, but only two among oral health providers. Confidence in performing the practice behaviors was significantly associated with guideline implementation among both groups. Years in practice was significantly associated with performing practice behaviors for prenatal providers, but not for oral health providers. CONCLUSIONS: Our findings highlight the importance of professional organizations and the role of clinical guidelines on practice behaviors. Although provider education is a key implementation strategy, organizational and policy-level system changes could also be critical in supporting practice behaviors.

Key Considerations and Recommended Strategies for Conducting a School-Based Longitudinal RE-AIM Evaluation: Insights From a 28-School Cluster Randomized Trial.

RE-AIM is an implementation science framework that provides a structure to promote data collection and analysis in the domains of Reach, Efficacy/Effectiveness, Adoption, Implementation, and Maintenance. The RE-AIM approach promotes more data collection and reporting than typical evaluations so potential adopters can determine the potential program fit for their setting. RE-AIM has been used to evaluate a variety of programs; however, there are few resources that provide strategies for conducting a RE-AIM evaluation in the school setting. The purpose of this article is to inform future studies by elucidating experiences conducting a large, complex, multisite, longitudinal RE-AIM evaluation in schools in partnership with the state's Departments of Education and Health, and to share strategies for overcoming obstacles. With the long-term goal of facilitating the translation of school-based intervention research into practice, we provide key considerations and recommend strategies for school-based RE-AIM evaluation success.

Rural and Urban Differences in Sexual Behaviors Among Adolescents in Florida.

The national teen birth rate is higher in rural compared to urban areas. While national data suggest rural areas may present higher risk for adverse sexual health outcomes among adolescents, it is unknown whether there are differences within the state of Florida. Overall, Florida has poorer sexual health indicators for adolescents compared to national rates. The purpose of this study was to assess differences in sexual behaviors among Florida adolescents by rural-urban community location. This study includes baseline data from a randomized controlled trial conducted in Florida high schools. Of the 6316 participants, 74% were urban and 26% were rural. Participants responded to questions on sexual behaviors, sexual behavior intentions, and demographics. We estimated the effect of rural-urban status on risk outcomes after controlling for demographic variables using generalized linear mixed models. More teens from rural areas reported ever having sex (24.0%) compared to urban teens (19.7%). No significant differences were observed for most of sexual behaviors assessed. Nonetheless, urban participants were less likely to intend to have sex without a condom in the next year compared to rural participants (aOR = 0.76, 95% CI 0.63-0.92). Overall, there were no major differences in sexual behaviors between rural and urban adolescents in Florida. However, sexual intentions differed between rural and urban adolescents; specifically, rural adolescents were more likely to intend to have sex without a condom in the next year compared to urban adolescents. Understanding the specific disparities can inform contraception and sexual health interventions among rural youth.

Concordance between decision analysis and matching systematic review of randomized controlled trials in assessment of treatment comparisons: a systematic review.

BACKGROUND: Systematic review (SR) of randomized controlled trials (RCT) is the gold standard for informing treatment choice. Decision analyses (DA) also play an important role in informing health care decisions. It is unknown how often the results of DA and matching SR of RCTs are in concordance. We assessed whether the results of DA are in concordance with SR of RCTs matched on patient population, intervention, control, and outcomes. METHODS: We searched PubMed up to 2008 for DAs comparing at least two interventions followed by matching SRs of RCTs. Data were extracted on patient population, intervention, control, and outcomes from DAs and matching SRs of RCTs. Data extraction from DAs was done by one reviewer and from SR of RCTs by two independent reviewers. RESULTS: We identified 28 DAs representing 37 comparisons for which we found matching SR of RCTs. Results of the DAs and SRs of RCTs were in concordance in 73% (27/37) of cases. The sensitivity analyses conducted in either DA or SR of RCTs did not impact the concordance. Use of single (4/37) versus multiple data source (33/37) in design of DA model was statistically significantly associated with concordance between DA and SR of RCTs. CONCLUSIONS: Our findings illustrate the high concordance of current DA models compared with SR of RCTs. It is shown previously that there is 50% concordance between DA and matching single RCT. Our study showing the concordance of 73% between DA and matching SR of RCTs underlines the importance of totality of evidence (i.e. SR of RCTs) in the design of DA models and in general medical decision-making.

Mothers of Children With Special Health Care Needs: Exploring Caregiver Burden, Quality of Life, and Resiliency.

INTRODUCTION: This study aimed to explore caregiver burden, quality of life (QOL), and resilience in mothers of children with special health care needs (CSHCN), compare differences between mothers of CSHCN and healthy children, and differences between mothers of CSHCN on the basis of child severity. METHOD: Mothers (n = 106) with a child aged < 18 years were recruited. A cross-sectional design was used. Measures included the Caregiver Burden Inventory, Quality of Life Scale, and Brief Resilience Inventory. Pearson point-biserial correlations and independent t-tests were used to compare group differences. RESULTS: Caregiver burden and QOL were negatively correlated (p < .001). Mothers of CSHCN had greater burden (p < .001) and poorer QOL (p = .006). Child severity increased caregiver burden time (p = .003). DISCUSSION: Study findings expound on research indicating mothers of CSHCN experience greater burden and poorer QOL than their peers, and child severity increases burden via time commitment. Health care providers should assess risk factors for poor QOL and caregiver burden and provide appropriate resources.

Health literacy needs and preferences for a technology-based intervention to improve college students' sexual and reproductive health.

Objective: To explore health literacy needs and preferences for a technology-based intervention (app) to improve sexual and reproductive health (SRH) among college students.Participants: In Spring 2019, in-depth interviews were conducted with 20 participants (10 male, 10 female) from a large, public university.Methods: Interview guide was developed based on Integrated Model of Health Literacy domains and Diffusion of Innovation constructs. Data were analyzed in MaxQDA using applied thematic analysis.Results: Dominant themes included accessing health information and services, evaluating options to make decisions, intervention utility and characteristics, and the emergent theme of credibility. Specific topics included accessing STI testing, contraceptive decision making, information on human papillomavirus (HPV) and the HPV vaccine, patient-provider communication, app design and function elements, and modifying the app to meet the SRH needs of diverse college students.Conclusions: Findings identified areas where an app could address college students' SRH literacy, ultimately improving SRH outcomes among this population.Supplemental data for this article can be accessed online at https://doi.org/10.1080/07448481.2022.2040517 .

Social Network Influences on Young Women's Choice to Use Long-Acting Reversible Contraception: A Systematic Review.

INTRODUCTION: Long-acting reversible contraception (LARC; including intrauterine devices and implants) is recommended as the first-line contraceptive choice by several professional organizations (eg, American College of Obstetricians and Gynecologists); however, rates of uptake are lower than those of other contraceptive methods. A young woman's social network may influence the decision to use LARC. The purpose of this review was to determine the role of health care providers (HCPs), family, peers, and sexual partner(s) on young women's decisions to initiate LARC. METHODS: Several databases (PubMed, CINAHL, and PsycINFO) were searched for articles published between 2000 and 2020 that studied the social network influences of HCPs, family, peers, and sexual partner(s) on LARC initiation among women in the United States aged 18 to 25. A narrative synthesis of the included articles was conducted. RESULTS: Twenty-nine articles met the inclusion criteria (21 qualitative, 6 quantitative, 2 mixed methods). HCPs are an important influence on a young woman's LARC decision-making. Peers and family also have a role but were often sources of negative or inaccurate information. Gaps in the literature were identified, including a lack of data on implant users and a dearth of studies on the role of sexual partner influence; most studies were not guided by theory. DISCUSSION: HCPs are integral to LARC initiation and may be more influential than other social network members. Future research should focus on understanding how social network members interact to result in LARC initiation. Gaining insight into these influences may improve existing interventions or contribute to the development of new interventions and ultimately promote LARC use among young women.

The Impact of the Teen Outreach Program on Sexual Intentions and Behaviors.

PURPOSE: We evaluated the impact of a positive youth development program on adolescent pregnancy, sexual behavior, risky sex, and intentions in nonmetropolitan Florida high schools. METHODS: Between 2012 and 2014, the Teen Outreach Program (TOP) was compared to standard school curriculum content using a cluster randomized controlled trial design with 7,976 youth in two cohorts. The majority of youth were 14 years old and in the ninth grade at baseline. Treatment group youth received TOP in health-related classes. After using multiple imputation to account for missing data, we analyzed baseline and follow-up survey data using generalized linear mixed-effects models with logit link function. RESULTS: In the cohort 1 sample, compared to the control condition, males and females receiving TOP showed lower odds of engaging in recent sex (odds ratio [OR], .71; 95% confidence interval [CI]: .58-.86) compared to control males and females. Cohort 1 treatment females who did engage in recent sex were less likely to have risky sex (OR, .54; 95% CI: .32-.89). There were fewer significant findings in cohort 2, though TOP females and combined gender had lower odds of risky sex intentions (OR, .53; 95% CI: .33-.84 and OR, .65; 95% CI: .44-.96, respectively). Overall, cohort 1 females in the TOP condition were the group most likely to benefit from TOP. CONCLUSIONS: Consistent with previous research, TOP was more effective regarding sexual health outcomes among female versus male youth; this was especially true for the outcome of risky sex. However, results were not consistent across cohorts, prompting questions for future research.

Evolution of treatment regimens in multiple myeloma: a social network analysis.

BACKGROUND: Randomized controlled trials (RCTs) are considered the gold standard for assessing the efficacy of new treatments compared to standard treatments. However, the reasoning behind treatment selection in RCTs is often unclear. Here, we focus on a cohort of RCTs in multiple myeloma (MM) to understand the patterns of competing treatment selections. METHODS: We used social network analysis (SNA) to study relationships between treatment regimens in MM RCTs and to examine the topology of RCT treatment networks. All trials considering induction or autologous stem cell transplant among patients with MM were eligible for our analysis. Medline and abstracts from the annual proceedings of the American Society of Hematology and American Society for Clinical Oncology, as well as all references from relevant publications were searched. We extracted data on treatment regimens, year of publication, funding type, and number of patients enrolled. The SNA metrics used are related to node and network level centrality and to node positioning characterization. RESULTS: 135 RCTs enrolling a total of 36,869 patients were included. The density of the RCT network was low indicating little cohesion among treatments. Network Betweenness was also low signifying that the network does not facilitate exchange of information. The maximum geodesic distance was equal to 4, indicating that all connected treatments could reach each other in four "steps" within the same pathway of development. The distance between many important treatment regimens was greater than 1, indicating that no RCTs have compared these regimens. CONCLUSION: Our findings show that research programs in myeloma, which is a relatively small field, are surprisingly decentralized with a lack of connectivity among various research pathways. As a result there is much crucial research left unexplored. Using SNA to visually and analytically examine treatment networks prior to designing a clinical trial can lead to better designed studies.

Value of repeat head computed tomography after traumatic brain injury: systematic review and meta-analysis.

Diagnosis and management of traumatic brain injury (TBI) is crucial to improve patient outcomes. While initial head computed tomography (CT) scan is the optimum tool for quick and accurate detection of intracranial hemorrhage, the guidelines on use of repeat CT differ among institutions. Three systematic reviews have been conducted on a similar topic; none have performed a comprehensive meta-analysis of all studies. Search of Medline, the Cochrane Library database, and Clinicaltrials.gov , and a hand search of conference abstracts and references for all completed studies reporting data on change in management following repeat CT was conducted. Two authors reviewed all studies and extracted data using a standardized form. A proportional meta-analysis was conducted using the random-effects model for outcomes related to any change in management following repeat CT. Any change in management included intracranial intervention, change in intracranial pressure monitoring, and/or administration of drug therapy. Search results yielded 6982 references. In all, 41 studies enrolling 10,501 patients were included. Change in management following repeat CT was reported in 13 prospective and 28 retrospective studies and yielded a pooled proportion of 11.4% (95% confidence interval [CI] 5.9-18.4) and 9.6% (95% CI 6.5-13.2), respectively. In a subgroup analysis of mild TBI patients (Glasgow Coma Scale score 13 to 15), five prospective and nine retrospective studies reported on change in management following repeat CT with the pooled proportion across prospective studies at 2.3% (95% CI 0.3-6.3) and across retrospective studies at 3.9% (95% CI 2.3-5.7), respectively. The evidence suggests that repeat CT in patients with TBI results in a change in management for only a minority of patients. Better designed studies are needed to address the issue of the value of repeat CT in the management of TBI.

Trial sequential analysis may be insufficient to draw firm conclusions regarding statistically significant treatment differences using observed intervention effects: a case study of meta-analyses of multiple myeloma trials.

Trial sequential analysis (TSA) has been proposed as a method to assess the risk of random error in cumulative meta-analysis (MA), which increases due to repeated significance testing. The aim of TSA is to assist researchers from wrongly concluding treatment differences in the absence of a benefit (i.e. true versus false positive). Similar to monitoring boundaries applied in individual randomized controlled trials, recent literature has advocated the use of TSA for assessing the conclusiveness of results from MAs to determine the requirement for future studies in case of true positive results. While this may be desirable, we present empirical evidence from a recent systematic review to demonstrate that the use of TSA may lead to a premature declaration of statistically significant treatment difference, when further accumulated evidence suggested otherwise. Using all apparently conclusive MAs in multiple-myeloma, we empirically studied under what thresholds for the risk ratio reduction and power a true positive result becomes false positive. We recommend that the conclusion of significant treatment differences in cumulative MA should be weighed against acceptable thresholds regarding the type I error, power and apriori specified clinically meaningful treatment difference.

Optimal information size in trial sequential analysis of time-to-event outcomes reveals potentially inconclusive results because of the risk of random error.

OBJECTIVES: The current approach for evaluating the risk of random error in meta-analyses (MAs) using trial sequential analysis (TSA) can accommodate binary and continuous data but not time-to-event data. We conducted a TSA for time-to-event outcomes and applied the method to determine the risk of random error in MAs for treatments of multiple myeloma. STUDY DESIGN AND SETTING: Literature search identified 11 systematic reviews consisting of 23 MAs. Of the 23 MAs, 13 had overall survival and 10 had progression-free survival as outcome; 48% (11 of 23) reported statistically significant treatment effects. We calculated the optimal a priori diversity-adjusted information size (APDIS) based on the relative risk reduction of 15% and 25%. We also calculated the optimal low-bias information size (LBIS) and low-bias diversity-adjusted information size (LBDIS). RESULTS: Overall, under APDIS15%, 48% (11 of 23) of MAs were false negative (FN) and 17% (4 of 23) of MAs were false positive. Under APDIS25%, 34% (8 of 23) of MAs were false negative and 4% (1 of 23) of MAs were false positive. LBIS identified 30% (7 of 23) as false negative MAs and 4% (1 of 23) as false positive MAs, whereas LBDIS identified 52% (12 of 23) as false negative MAs and 4% (1 of 23) as false positive MAs. CONCLUSION: The new method demonstrates the possibility of incorporating time-to-event outcomes into TSA and reveals that some MAs have potentially inconclusive results.