Restarting and timing of oral anticoagulation after traumatic intracranial hemorrhage: a review and summary of ongoing and planned prospective randomized clinical trials

Anticoagulant-associated traumatic intracranial hemorrhage (tICrH) is a devastating injury with high morbidity and mortality. For survivors, treating clinicians face the dilemma of restarting oral anticoagulation with scarce evidence to guide them. Thromboembolic risk is high from the bleeding event, patients’ high baseline risks, that is, the pre-existing indication for anticoagulation, and the risk of immobility after the bleeding episode. This must be balanced with potentially devastating hematoma expansion or new hemorrhagic lesions. Retrospective evidence and expert opinion support restarting oral anticoagulants in most patients with tICrH, but timing is uncertain. Researchers have failed to make clear distinctions between tICrH and spontaneous intracranial hemorrhage (sICrH), which have differing natural histories. While both appear to benefit from restarting, sICrH has a higher rebleeding risk and similar or lower thrombotic risk. Clinical equipoise on restarting is also divergent. In sICrH, equipoise is centered on whether to restart. In tICrH, it is centered on when. Several prospective randomized clinical trials are ongoing or about to start to examine the risk–benefit of restarting. Most of them are restricted to patients with sICrH, with antiplatelet control groups. Most are also restricted to direct oral anticoagulants (DOACs), as they are associated with a lower overall risk of ICrH. There is some overlap with tICrH via subdural hematoma, and one trial is specific to restart timing with DOACs in only traumatic cases. This is a narrative review of the current evidence for restarting anticoagulation and restart timing after tICrH along with a summary of the ongoing and planned clinical trials.

Two-stage Bayesian hierarchical modeling for blinded and unblinded safety monitoring in randomized clinical trials

Background

Monitoring and reporting of drug safety during a clinical trial is essential to its success. More recent attention to drug safety has encouraged statistical methods development for monitoring and detecting potential safety signals. This paper investigates the potential impact of the process of the blinded investigator identifying a potential safety signal, which should be further investigated by the Data and Safety Monitoring Board with an unblinded safety data analysis.

Methods

In this paper, two-stage Bayesian hierarchical models are proposed for safety signal detection following a pre-specified set of interim analyses that are applied to efficacy. At stage 1, a hierarchical blinded model uses blinded safety data to detect a potential safety signal and at stage 2, a hierarchical logistic model is applied to confirm the signal with unblinded safety data.

Results

Any interim safety monitoring analysis is usually scheduled via negotiation between the trial sponsor and the Data and Safety Monitoring Board. The proposed safety monitoring process starts once 53 subjects have been enrolled into an eight-arm phase II clinical trial for the first interim analysis. Operating characteristics describing the performance of this proposed workflow are investigated using simulations based on the different scenarios.

Conclusions

The two-stage Bayesian safety procedure in this paper provides a statistical view to monitor safety during the clinical trials. The proposed two-stage monitoring model has an excellent accuracy of detecting and flagging a potential safety signal at stage 1, and with the most important feature that further action at stage 2 could confirm the safety issue.

Feasibility of Delivering a Mobile Nutrition Literacy Intervention via Pediatric Primary Care

Objectives

The objective of this pilot study was to test the feasibility of implementing a mobile health intervention, “Nutricity,” within pediatric well-care and explore outcomes on child diet quality, child BMI and parental nutrition literacy.

Methods

Participants in this single-arm intervention pilot study were 18 parent-child dyads recruited from pediatric primary care before a scheduled well-care visit. Parents were English-speaking, identified as primary food decision-maker, had internet access at home, and owned a web-enabled device; children were 1–5 years old with unrestricted diets. Dyads were given three months’ access to Nutricity mobile tools during the child's well-care visit and were guided on use. Nutricity tools included a mobile formatted website to access instructional videos, games for kids, and quizzes for parents, and weekly text messages for nutrition goal setting. Content was focused on applying nutrition information at supermarkets, home, and restaurants. Feasibility was evaluated by % completion, parent likability survey, website usage, and % text responses logged. At baseline and three months, parent nutrition literacy (Nutrition Literacy Assessment Instrument, NLit); diet quality (2,24-hour diet recalls used to calculate a Healthy Eating Index, HEI – 2015 score), and BMI were collected with differences analyzed by paired t-tests.

Results

Of 18 dyads enrolled, 17 (94%) completed the study. Parents rated likability of the website and text messages as ‘good-excellent,’ reporting they applied ‘half-most’ of goals set through text-messaging. A common emergent theme was need for more individualized text messages. Mean response rate to text messages was 62%, and dyads logged an average of 43.7 minutes and 5.2 sessions on the website. Non-significant improvements were seen in parent NLit and overall child HEI scores, and no difference was seen in child BMI. However, HEI component scores improved for dairy by 1.2 points (P = .055) and seafood/plant proteins by 1.3 points (P = 0.046).

Conclusions

Delivering Nutricity via a pediatric well-care visit is feasible and demonstrated potential for improving child diet quality. A larger, adequately powered study is warranted.

Funding Sources

This work was funded by a CTSA grant from NCATS and the School of Health Professions.

The effect of high dietary fiber intake on gestational weight gain, fat accrual, and postpartum weight retention: a randomized clinical trial

BACKGROUND

Interventions to prevent excessive gestational weight gain (GWG) have had limited success This pilot study examined the effectiveness of a single goal (SG) high dietary fiber intervention to prevent excessive GWG.

METHODS

Twelve weekly lessons focused on consuming a high fiber diet (≥30 g/day). Snacks containing 10-12 g of dietary fiber were given for the first 6 weeks only. Body composition was measured at baseline and at the end of the intervention. At one-year postpartum, body weight retention and dietary practices were assessed. A p-value is reported for the primary analysis only. For all other comparisons, Cohen's d is reported to indicate effect size.

RESULTS

The SG group increased fiber intake during the study (32 g/day at 6 weeks, 27 g/day at 12 weeks), whereas the UC group did not (~ 17 g/day). No differences were found for the proportion of women classified as excessive gainers (p = 0.13). During the intervention, the SG group gained less body weight (- 4.1 kg) and less fat mass (- 2.8 kg) (d = 1.3). At 1 year postpartum, the SG group retained less weight (0.35 vs. 4.4 kg, respectively, d = 1.8), and reported trying to currently eat high fiber foods.

CONCLUSION

The SG intervention resulted in less weight gain, fat accrual, and weight retention at 1 year postpartum. A residual intervention effect was detected postpartum with the participants reporting continued efforts to consume a high fiber diet.

TRIAL REGISTRATION

NCT03984630; Trial registered June 13, 2019 (retrospectively registered).

Bayesian accrual modeling and prediction in multicenter clinical trials with varying center activation times

Investigators who manage multicenter clinical trials need to pay careful attention to patterns of subject accrual, and the prediction of activation time for pending centers is potentially crucial for subject accrual prediction. We propose a Bayesian hierarchical model to predict subject accrual for multicenter clinical trials in which center activation times vary. We define center activation time as the time at which a center can begin enrolling patients in the trial. The difference in activation times between centers is assumed to follow an exponential distribution, and the model of subject accrual integrates prior information for the study with actual enrollment progress. We apply our proposed Bayesian multicenter accrual model to two multicenter clinical studies. The first is the PAIN-CONTRoLS study, a multicenter clinical trial with a goal of activating 40 centers and enrolling 400 patients within 104 weeks. The second is the HOBIT trial, a multicenter clinical trial with a goal of activating 14 centers and enrolling 200 subjects within 36 months. In summary, the Bayesian multicenter accrual model provides a prediction of subject accrual while accounting for both center- and individual patient-level variation.

Utilization of Technology to Improve Efficiency in Investigational Drug Management Processes

Background: Background: An investigational pharmacy is responsible for all tasks related to receiving, storing, and dispensing of any investigational drugs. Traditional methods of inventory and protocol tracking on paper binders are very tedious and could be error-prone. Objective: To evaluate the utilization of the IDS to efficiently manage the inventory within an investigational Pharmacy. We hypothesize that the IDS will reduce the drug processing time. Methods: Our pharmacy tracked the drug processing time before and after using the IDS including the receiving, dispensing, and inventory. As part of the receiving the study drug pharmacists tracked the time it took a pharmacist to complete the tasks of logging the study drug before and after the implementation of the IDS system. In addition, the pharmacy also timed the process for drug dispensing and a full investigational drug inventory check. Wilcoxon signed-rank test was used to compare the difference in the meantime of total processing before and after the IDS. Results: Utilization of the IDS system showed significant reduction in processing time, and improvement of efficiency in inventory management. Additionally, the usability survey of the IDS demonstrated that the IDS system helped pharmacists capture data consistently across every clinical trial. Conclusion: Our results demonstrates how technology helps pharmacists to focus on their actual day to day medication-related tasks rather than worrying about other operational aspects. Informatics team continues to further enhance the features such as monitor portal, and features related to finance - generation of invoices, billing reconciliation, etc.

Optimizing Retrieval of Biospecimens Using the Curated Cancer Clinical Outcomes Database (C3OD)

To fully support their role in translational and personalized medicine, biorepositories and biobanks must continue to advance the annotation of their biospecimens with robust clinical and laboratory data. Translational research and personalized medicine require well-documented and up-to-date information, but the infrastructure used to support biorepositories and biobanks can easily be out of sync with the host institution. To assist researchers and provide them with accurate pathological, epidemiological, and bio-molecular data, the Biospecimen Repository Core Facility (BRCF) at the University of Kansas Medical Center (KUMC) merges data from medical records, the tumor registry, and pathology reports using the Curated Cancer Clinical Outcomes Database (C3OD). In this report, we describe the utilization of C3OD to optimally retrieve and dispense biospecimen samples using these 3 data sources and demonstrate how C3OD greatly increases the efficiency of obtaining biospecimen samples for the researchers.

Which hospitalized smokers receive a prescription for quit-smoking medication at discharge? A secondary analysis of a smoking cessation randomized clinical trial

OBJECTIVE

To determine the prevalence and predictors of receiving a smoking cessation medication prescription at discharge.

METHODS

Retrospective analysis of ongoing Human Studies Committee-approved clinical trial data at large tertiary care center, The University of Kansas Medical Center. Patients included were smokers over 18, either Spanish or English speaking, those admitted between October 1, 2016 through May 31, 2018. Other eligibility criteria include access to a telephone or mobile phone, not currently be pregnant or breastfeeding, have no significant co-morbidity that precludes participation (acute, life-threatening illness, and communication barriers such as tracheal tube or altered mental status). Those included in this analysis were those randomized into the trial who expressed interest in receiving a smoking cessation medication prescription at discharge.

RESULTS

Two hundred fourteen patients were recommended a prescription by their smoking cessation counselor, 88 patients (41.12%) were approved a prescription at discharge. Out of those approved, 50.70 (14.05 SD) was the average age, 12.84 (8.47 SD) was the average number of cigarettes used per day, 47 patients (53.41%) were White, 49 patients (55.68%) were admitted through the emergency department, 55 patients (62.50%) had used smoking cessation medication in the past, 49 patients (55.68%) had used inpatient smoking cessation, 36 patients (40.91%) had Medicaid. A binary logistic regression determined to show insurance status (P = 0.042) and use of inpatient smoking cessation medication use (P < 0.001) as statistically significant predictors of receiving a prescription at discharge.

CONCLUSION

It was determined that among the population recommended for medication, 41.12% actually received a prescription at discharge. The variables of "health insurance status" and "use of inpatient smoking cessation medication" demonstrated to be predictors of receiving a prescription. It is important to further study this as many patients rely on a prescription to afford these medications that are useful in a quit attempt.

Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records

Electronic health records (EHR) represent a rich resource for conducting observational studies, supporting clinical trials, and more. However, much of the data contains unstructured text, presenting an obstacle to automated extraction. Natural language processing (NLP) can structure and learn from text, but NLP algorithms were not designed for the unique characteristics of EHR. Here, we propose Relevant Word Order Vectorization (RWOV) to aid with structuring. RWOV is based on finding the positional relationship between the most relevant words to predicting the class of a text. This facilitates machine learning algorithms to use the interaction of not just keywords but positional dependencies (e.g. a relevant word occurs 5 relevant words before some term of interest). As a proof-of-concept, we attempted to classify the hormone receptor status of breast cancer patients treated at the University of Kansas Medical Center, comparing RWOV to other methods using the F1 score and AUC. RWOV performed as well as, or better than other methods in all but one case. For F1 score, RWOV had a clear edge on most tasks. AUC tended to be closer, but for HER2, RWOV was significantly better for most comparisons. These results suggest RWOV should be further developed for EHR-related NLP.

Preliminary Investigation of a Mobile Nutrition Literacy Website for Parents and Young Children

Parental nutrition literacy (PNL) correlates positively with child diet quality, but interventions for improving PNL are lacking. “Nutricity” is a novel bilingual (English/Spanish) mobile tool designed by the research team to engage parents and young children to interact with nutrition information to make nutrition decisions. The purpose of this study was to inform a future intervention through (1) assessing parental likability of Nutricity, and (2) collecting perceptions of pediatric clinic personnel on the feasibility of introducing Nutricity in pediatric clinics. PNL scores and feedback about Nutricity were collected using mixed methods from 15 English-speaking and 15 Spanish-speaking parents of 1–5 year-old children. Three parents from each language group provided additional feedback via semi-structured interviews. Interviews with 11 pediatric clinic personnel were also conducted to anticipate barriers and formulate strategies for implementing Nutricity as a clinic-based intervention. Nutricity was liked by both language groups and across all PNL levels, with a mean rating of 4.6 on a 5-point scale. Clinic personnel interviews affirmed need for and feasibility of offering Nutricity in clinics.

Optimizing Sample Size Allocation and Power in a Bayesian Two-Stage Drop-The-Losers Design

When a researcher desires to test several treatment arms against a control arm, a two-stage adaptive design can be more efficient than a single-stage design where patients are equally allocated to all treatment arms and the control. We see this type of approach in clinical trials as a seamless Phase II - Phase III design. These designs require more statistical support and are less straightforward to plan and analyze than a standard single-stage design. To diminish the barriers associated with a Bayesian two-stage drop-the-losers design, we built a user-friendly point-and-click graphical user interface with R Shiny to aid researchers in planning such designs by allowing them to easily obtain trial operating characteristics, estimate statistical power and sample size, and optimize patient allocation in each stage to maximize power. We assume that endpoints are distributed normally with unknown but common variance between treatments. We recommend this software as an easy way to engage statisticians and researchers in two-stage designs as well as to actively investigate the power of two-stage designs relative to more traditional approaches. The software is freely available at https://github.com/stefangraw/Allocation-Power-Optimizer.

Measuring Nutrition Literacy in Spanish-Speaking Latinos: An Exploratory Validation Study

Nutrition is important for preventing and treating chronic diseases highly prevalent among Latinos, yet no tool exists for measuring nutrition literacy among Spanish speakers. This study aimed to adapt the validated Nutrition Literacy Assessment Instrument for Spanish-speaking Latinos. This study was developed in two phases: adaptation and validity testing. Adaptation included translation, expert item content review, and interviews with Spanish speakers. For validity testing, 51 participants completed the Short Assessment of Health Literacy-Spanish (SAHL-S), the Nutrition Literacy Assessment Instrument in Spanish (NLit-S), and socio-demographic questionnaire. Validity and reliability statistics were analyzed. Content validity was confirmed with a Scale Content Validity Index of 0.96. Validity testing demonstrated NLit-S scores were strongly correlated with SAHL-S scores (r = 0.52, p < 0.001). Entire reliability was substantial at 0.994 (CI 0.992-0.996) and internal consistency was excellent (Cronbach's α = 0.92). The NLit-S demonstrates validity and reliability for measuring nutrition literacy among Spanish-speakers.

A Curated Cancer Clinical Outcomes Database (C3OD) for accelerating patient recruitment in cancer clinical trials

Data used to determine patient eligibility for cancer clinical trials often come from disparate sources that are typically maintained by different groups within an institution, use differing technologies, and are stored in different formats. Collecting data and resolving inconsistencies across sources increase the time it takes to screen eligible patients, potentially delaying study completion. To address these challenges, the Biostatistics and Informatics Shared Resource at The University of Kansas Cancer Center developed the Curated Cancer Clinical Outcomes Database (C3OD). C3OD merges data from the electronic medical record, tumor registry, bio-specimen and data registry, and allows querying through a single unified platform. By centralizing access and maintaining appropriate controls, C3OD allows researchers to more rapidly obtain detailed information about each patient in order to accelerate eligibility screening. This case report describes the design of this informatics platform as well as initial assessments of its reliability and usability.

The Nutrition Literacy Assessment Instrument is a Valid and Reliable Measure of Nutrition Literacy in Adults with Chronic Disease

OBJECTIVE

To test the reliability and validity of the Nutrition Literacy Assessment Instrument (NLit) in adult primary care and identify the relationship between nutrition literacy and diet quality.

DESIGN

This instrument validation study included a cross-sectional sample participating in up to 2 visits 1 month apart.

SETTING/PARTICIPANTS

A total of 429 adults with nutrition-related chronic disease were recruited from clinics and a patient registry affiliated with a Midwestern university medical center.

MAIN OUTCOME MEASURES

Nutrition literacy was measured by the NLit, which was composed of 6 subscales: nutrition and health, energy sources in food, food label and numeracy, household food measurement, food groups, and consumer skills. Diet quality was measured by Healthy Eating Index-2010 with nutrient data from Diet History Questionnaire II surveys.

ANALYSIS

The researchers measured factor validity and reliability by using binary confirmatory factor analysis; test-retest reliability was measured by Pearson r and the intraclass correlation coefficient, and relationships between nutrition literacy and diet quality were analyzed by linear regression.

RESULTS

The NLit demonstrated substantial factor validity and reliability (0.97; confidence interval, 0.96-0.98) and test-retest reliability (0.88; confidence interval, 0.85-0.90). Nutrition literacy was the most significant predictor of diet quality (β = .17; multivariate coefficient = 0.10; P < .001).

CONCLUSIONS

The NLit is a valid and reliable tool for measuring nutrition literacy in adult primary care patients.

Confirmatory Factor Analysis Alternative: Free, Accessible CBID Software

New software that performs Classical and Bayesian Instrument Development (CBID) is reported that seamlessly integrates expert (content validity) and participant data (construct validity) to produce entire reliability estimates with smaller sample requirements. The free CBID software can be accessed through a website and used by clinical investigators in new instrument development. Demonstrations are presented of the three approaches using the CBID software: (a) traditional confirmatory factor analysis (CFA), (b) Bayesian CFA using flat uninformative prior, and (c) Bayesian CFA using content expert data (informative prior). Outcomes of usability testing demonstrate the need to make the user-friendly, free CBID software available to interdisciplinary researchers. CBID has the potential to be a new and expeditious method for instrument development, adding to our current measurement toolbox. This allows for the development of new instruments for measuring determinants of health in smaller diverse populations or populations of rare diseases.

Subgroup identification of early preterm birth (ePTB): informing a future prospective enrichment clinical trial design

BACKGROUND

Despite the widely recognized association between the severity of early preterm birth (ePTB) and its related severe diseases, little is known about the potential risk factors of ePTB and the sub-population with high risk of ePTB. Moreover, motivated by a future confirmatory clinical trial to identify whether supplementing pregnant women with docosahexaenoic acid (DHA) has a different effect on the risk subgroup population or not in terms of ePTB prevalence, this study aims to identify potential risk subgroups and risk factors for ePTB, defined as babies born less than 34 weeks of gestation.

METHODS

The analysis data (N = 3,994,872) were obtained from CDC and NCHS' 2014 Natality public data file. The sample was split into independent training and validation cohorts for model generation and model assessment, respectively. Logistic regression and CART models were used to examine potential ePTB risk predictors and their interactions, including mothers' age, nativity, race, Hispanic origin, marital status, education, pre-pregnancy smoking status, pre-pregnancy BMI, pre-pregnancy diabetes status, pre-pregnancy hypertension status, previous preterm birth status, infertility treatment usage status, fertility enhancing drug usage status, and delivery payment source.

RESULTS

Both logistic regression models with either 14 or 10 ePTB risk factors produced the same C-index (0.646) based on the training cohort. The C-index of the logistic regression model based on 10 predictors was 0.645 for the validation cohort. Both C-indexes indicated a good discrimination and acceptable model fit. The CART model identified preterm birth history and race as the most important risk factors, and revealed that the subgroup with a preterm birth history and a race designation as Black had the highest risk for ePTB. The c-index and misclassification rate were 0.579 and 0.034 for the training cohort, and 0.578 and 0.034 for the validation cohort, respectively.

CONCLUSIONS

This study revealed 14 maternal characteristic variables that reliably identified risk for ePTB through either logistic regression model and/or a CART model. Moreover, both models efficiently identify risk subgroups for further enrichment clinical trial design.

Technology Dependence in Home Care: Impact on Patients and Their Family Caregivers

BACKGROUND

The purpose of this review is to explore how home technology care affects patients, family caregivers, and quality of life (QOL).

METHODS

A literature search was conducted to identify studies of home parenteral nutrition (HPN) and other technology prescribed home care.

RESULTS

Technology dependence influences health-related QOL. Patients and their family caregivers must balance the positive aspects of being in the home environment with the challenges of administering complex therapies at home. Patients and caregivers need additional support to reduce the physical, emotional, social, and financial burdens they experience.

CONCLUSIONS

More research is needed to address effective interventions to reduce patient and caregiver burdens and to improve outcomes for technology-dependent individuals. A greater level of preparedness for managing home technology and technology-related problems may improve quality of life.

Measuring Nutrition Literacy in Breast Cancer Patients: Development of a Novel Instrument

No nutrition literacy instruments have been tested in breast cancer survivors, yet nutrition is a critical lifestyle factor for optimizing weight and improving quality of life in breast cancer survival. Our objectives were to adapt our Nutrition Literacy Assessment Instrument for breast cancer populations and to pilot test its validity and reliability. We modified the instrument based on review by content experts in cancer and nutrition and cognitive interviews with 18 cancer survivors. The modified instrument (Nutrition Literacy Assessment Instrument for Breast Cancer, NLit-BCa) was pilot-tested with 17 high-risk women and 55 breast cancer survivors. We conducted the NLit-BCa on two separate occasions 4 weeks apart and assessed reliability by confirmatory factor analysis. Construct validity was evaluated by comparing results of the NLit-BCa to a Healthy Eating Index score derived from two separate 24-h dietary recalls. Content validity of the NLit-BCa was acceptable (0.93). Entire reliability for three instrument domains was substantial (>0.80), while remaining domains demonstrated fair or moderate reliability. Significant relationships were found between five of the six domains of nutrition literacy and diet quality (P < 0.05). The NLit-BCa is content valid and demonstrates promising reliability and construct validity related to diet quality, through a larger sample size, and removal of non-discriminating items is needed to confirm these findings. Thus, the NLit-BCa demonstrates potential for comprehensively measuring nutrition literacy in breast cancer populations.

The Role of Spirituality in Holistic Weight Management

This descriptive, feasibility study was designed to determine how weight management patients defined spirituality and its connection with weight management. Relationships among spirituality assessment, spiritual well-being, selfesteem, and quality of life were explored. This study arose from clinical observations of possible relationships among patients' weight management failures, negative beliefs about self, and spiritual distress. Participants were 34 of 104 adult potential participants from a holistic weight management clinical practice. Survey data were analyzed using qualitative content analysis and quantitative linear regression analyses. Participants readily defined spirituality; significant linear relationships were found: Total spiritual well-being explained approximately 47% of the variance for self-esteem and existential spiritual well-being accounted for approximately 68% of the variance for self-esteem. Similarly, existential spiritual well-being explained approximately 35% of the variance of quality of life. For this convenience sample, spiritual well-being was significantly related to self-esteem and quality of life.

An Exploration of Nursing Home Organizational Processes

The purpose of this study is to explore the relationship between nursing home staffs' perceptions of organizational processes (communication, teamwork, and leadership) with characteristics (turnover, tenure, and educational preparation) of the nursing home administrator (NHA) and director of nursing (DON). NHAs and DONs rate communication, teamwork, and leadership significantly higher than direct care staff do (registered nurses, licensed practical nurses, certified nurse aides [CNAs]). CNAs have the lowest ratings of communication and teamwork. Turnover of the NHA and DON is significantly and negatively associated with communication and teamwork. Two thirds of DONs surveyed hold less than a baccalaureate degree; this does not influence staffs' ratings of communication, teamwork, and leadership. Findings from this study highlight the need to explore differences in perceptions between administrative and direct care staff and how these may or may not influence staff development and quality improvement activities in nursing homes.

Assessing the Nutrition Literacy of Parents and Its Relationship With Child Diet Quality

OBJECTIVE

To estimate the reliability and validity of the Nutrition Literacy Assessment Instrument for Parents (NLit-P) and to investigate relationships among parental nutrition literacy, parental and child body mass index, and child diet quality (Healthy Eating Index).

METHODS

Cross-sectional study of 101 parent-child dyads that collected measures of socioeconomic status, nutrition literacy, 2 24-hour child diet recalls, and body mass index. Reliability of NLit-P was assessed by confirmatory factor analysis. Pearson correlation and multiple linear regression were used.

RESULTS

Fair to substantial reliability was seen across 5 NLit-P domains, whereas Pearson correlations support concurrent validity for the NLit-P related to child diet quality and parental income, age, and educational attainment (P < .001). For every 1% increase in NLit-P, there was a 0.51 increase in child Healthy Eating Index (multivariate coefficient, 0.174; P < .001).

CONCLUSIONS AND IMPLICATIONS

The NLit-P demonstrates potential for measuring parental nutrition literacy, which may be an important educational target for improving child diet quality.