Impact of response bias in three surveys on primary care providers' experiences with electronic health records.

OBJECTIVE: To identify impacts of different survey methodologies assessing primary care physicians' (PCPs') experiences with electronic health records (EHRs), we compared three surveys: the 2022 Continuous Certification Questionnaire (CCQ) from the American Board of Family Medicine, the 2022 University of California San Francisco (UCSF) Physician Health IT Survey, and the 2021 National Electronic Health Records Survey (NEHRS). MATERIALS AND METHODS: We evaluated differences between survey pairs using Rao-Scott corrected chi-square tests, which account for weighting. RESULTS: CCQ received 3991 responses from PCPs (100% response rate), UCSF received 1375 (3.6% response rate), and NEHRS received 858 (18.2% response rate). Substantial, statistically significant differences in demographics were detected across the surveys. CCQ respondents were younger and more likely to work in a health system; NEHRS respondents were more likely to work in private practice; and UCSF respondents disproportionately practiced in larger academic settings. Many EHR experience indicators were similar between CCQ and NEHRS, but CCQ respondents reported higher documentation burden. DISCUSSION: The UCSF approach is unlikely to supply reliable data. Significant demographic differences between CCQ and NEHRS raise response bias concerns, and while there were similarities in some reported EHR experiences, there were important, significant differences. CONCLUSION: Federal EHR policy monitoring and maintenance require reliable data. This test of existing and alternative sources suggest that diversified data sources are necessary to understand physicians' experiences with EHRs and interoperability. Comprehensive surveys administered by specialty boards have the potential to contribute to these efforts, since they are likely to be free of response bias.

The Longitudinal Measurement of Sexual Orientation and Gender Identity: A Study of Identity Change in a Nationally Representative Sample of U.S. Adults and Adolescents.

Purpose: Research and lived experience demonstrate that sexual orientation and gender identity (SOGI) can change over the life course; however, little empirical work exists to understand the prevalence of such changes. To address this gap, we used data from a large nationally representative panel of adults and adolescents to assess changes in self-reported SOGI over time and identify trends by sex assigned at birth, age, race and ethnicity, and survey mode. Methods: We reviewed SOGI data collected between 2014 and 2022 for a sample of 19,469 adults and 970 adolescents. Up to eight SOGI measurements per panelist were available over the nine-year period, collected through a combination of panel recruitment and demographic refresh surveys and topic-specific surveys. Results: Among adults older than 18 years, 4.1% reported a change in sexual orientation and 3.6% reported a change in gender identity. Among teens, who are developmentally more apt to change identity, 13.5% reported a change in sexual orientation and 9.3% reported a change in gender identity. Conclusions: Findings demonstrate that SOGI can change over time, particularly for adolescents, so it is important to re-ask SOGI questions to ensure current information. We recommend re-asking SOGI questions at least every three years of adults and every two years of adolescents. Potential undercounting of sexual and gender minority (SGM) respondents decreases visibility and our ability to understand health and economic disparities affecting these populations. Improvements in SOGI measurement can help advance data quality and, ultimately, evidence-based interventions in support of SGM communities that these data help to inform.

Navigating distress: Exploring factors affecting adolescent girls' wellbeing during and after a violence-focused survey in Maharashtra, India.

BACKGROUND: Ensuring the emotional wellbeing of participants in violence-focused research is a paramount ethical requirement. While previous research suggests that most participants in violence-focused studies do not report harmful consequences, little is known about the experiences of adolescent participants in low- and middle-income countries. OBJECTIVE: This study, conducted in Maharashtra, India, aims at assessing how participant, contextual, and interviewer characteristics affect the level of distress that adolescent girls experience after participation in a violence survey. METHODS: A total of 3049 13-18-year-old girls were interviewed on their experiences of family and intimate partner violence. Following the interview, both girls and interviewers completed a 5-item questionnaire on perceived participant distress. Linear regression analyses were conducted to identify possible correlates of girls' distress. RESULTS: Less than 10 % of participants reported feelings of distress upon completion of the interview. Higher levels of interviewers' empathy were significantly associated with decreased levels of participants' distress (standardised beta: -0.25, p < 0.001). Reported distress was also lower if girls had opted for an audio- and mobile-assisted self-interview (ACASI) format (standardised beta: -0.05, p < 0.01) and if the interview was conducted by someone older (standardised beta: -0.22, p < 0.001). Conversely, if interviews were conducted in participants' homes and by interviewers with higher education levels, reported distress was significantly higher (standardised beta: 0.06, p < 0.01 and 0.12, p < 0.001, respectively). CONCLUSIONS: Our findings suggest that incorporating empathetic interviewing and trust-building techniques into interviewer training, offering ACASI interviews, and choosing interview locations that ensure confidentiality can help protect the wellbeing of participants in violence research.

The temperature effect on perceived income.

Extensive research has focused on the impact of weather on working capacity and income. However, in regions where income data largely relies on surveys, a pivotal yet underexplored question is whether weather not only influence real income but also introduce biases into survey-collected income data. We analyze longitudinal data from the China Health and Nutrition Survey and corresponding weather records from the Global Surface Summary of the Day, and uncover a negative correlation between survey-day temperature and self-reported annual income from the previous year. With a series of robustness checks, we confirm that the effect is primarily driven by behavioral factors rather than actual income changes. And threshold regression analyses show that the impact of temperature is more pronounced on hot days and relatively subdued or even reversed on cooler days. Further analyses indicate that mood, rather than cognitive capacity, plays a central role in causing the observed downward bias.

Risk-management decision-making data from a community-based sample of racially diverse women at high risk of breast cancer: rationale, methods, and sample characteristics of the Daughter Sister Mother Project survey.

BACKGROUND: To understand the dynamics that limit use of risk-management options by women at high risk of breast cancer, there is a critical need for research that focuses on patient perspectives. Prior research has left important gaps: exclusion of high-risk women not in risk-related clinical care, exclusion of non-white populations, and lack of attention to the decision-making processes that underlie risk-management choices. Our objective was to create a more inclusive dataset to facilitate research to address disparities related to decision making for breast cancer risk management. METHODS: The Daughter Sister Mother Project survey collects comprehensive information about the experiences of women at high risk of breast cancer. We collected novel measures of feelings about and reactions to cancer screenings; knowledge, barriers, and facilitators of risk-management options; beliefs related to cancer risk and risk management; and involvement with loved ones who had cancer. Eligible individuals were non-Hispanic white and non-Hispanic Black adult women who self-identified as having high risk of breast cancer and had no personal history of cancer. Between October 2018 and August 2019, 1053 respondents completed the online survey. Of these, 717 were confirmed through risk prediction modeling to have a lifetime breast cancer risk of ≥ 20%. Sociodemographic characteristics of this sample were compared to those of nationally representative samples of the US population: the 2019 Health Information National Trends Survey and the Pew Research Center report: Jewish Americans in 2020. RESULTS: The sample of 717 women at objectively high risk of breast cancer was largely (95%) recruited from non-clinical sources. Of these respondents, only 31% had seen a genetic counselor, 34% had had genetic testing specific to breast cancer risk, and 35% had seen at least one breast or cancer care specialist. The sample includes 35% Black respondents and 8% with Ashkenazi Jewish ancestry. Although encompassing a substantial range of ages, incomes, and education levels, respondents are overall somewhat younger, higher-income, and more educated than the US population as a whole. CONCLUSIONS: The DSM dataset offers comprehensive data from a community-based, diverse sample of women at high risk of breast cancer. The dataset includes substantial proportions of Black and Ashkenazi Jewish women and women who are not already in clinical care related to their breast cancer risk. This sample will facilitate future studies of risk-management behaviors among women who are and are not receiving high-risk care, and of variations in risk-management experiences across race and ethnicity.

Assessing and Improving Data Integrity in Web-Based Surveys: Comparison of Fraud Detection Systems in a COVID-19 Study.

BACKGROUND: Web-based surveys increase access to study participation and improve opportunities to reach diverse populations. However, web-based surveys are vulnerable to data quality threats, including fraudulent entries from automated bots and duplicative submissions. Widely used proprietary tools to identify fraud offer little transparency about the methods used, effectiveness, or representativeness of resulting data sets. Robust, reproducible, and context-specific methods of accurately detecting fraudulent responses are needed to ensure integrity and maximize the value of web-based survey research. OBJECTIVE: This study aims to describe a multilayered fraud detection system implemented in a large web-based survey about COVID-19 attitudes, beliefs, and behaviors; examine the agreement between this fraud detection system and a proprietary fraud detection system; and compare the resulting study samples from each of the 2 fraud detection methods. METHODS: The PhillyCEAL Common Survey is a cross-sectional web-based survey that remotely enrolled residents ages 13 years and older to assess how the COVID-19 pandemic impacted individuals, neighborhoods, and communities in Philadelphia, Pennsylvania. Two fraud detection methods are described and compared: (1) a multilayer fraud detection strategy developed by the research team that combined automated validation of response data and real-time verification of study entries by study personnel and (2) the proprietary fraud detection system used by the Qualtrics (Qualtrics) survey platform. Descriptive statistics were computed for the full sample and for responses classified as valid by 2 different fraud detection methods, and classification tables were created to assess agreement between the methods. The impact of fraud detection methods on the distribution of vaccine confidence by racial or ethnic group was assessed. RESULTS: Of 7950 completed surveys, our multilayer fraud detection system identified 3228 (40.60%) cases as valid, while the Qualtrics fraud detection system identified 4389 (55.21%) cases as valid. The 2 methods showed only "fair" or "minimal" agreement in their classifications (κ=0.25; 95% CI 0.23-0.27). The choice of fraud detection method impacted the distribution of vaccine confidence by racial or ethnic group. CONCLUSIONS: The selection of a fraud detection method can affect the study's sample composition. The findings of this study, while not conclusive, suggest that a multilayered approach to fraud detection that includes conservative use of automated fraud detection and integration of human review of entries tailored to the study's specific context and its participants may be warranted for future survey research.

Assessment of patients' dental anxiety levels in the context of infectious diseases: development and validation of Musa Kazim's Dental Anxiety Scale (MK-DAS).

OBJECTIVES: The study aimed to develop and validate a new scale called Musa Kazim's Dental Anxiety Scale (MK-DAS) to measure dental anxiety in relation to infectious diseases. METHODS: The study utilized a cross-sectional design and recruited participants from Faculty of Dentistry, Altinbas University. The sample included 289 participants who were seeking dental treatment. The Modified Dental Anxiety Scale (MDAS) was employed for the purpose of assessing levels of dental anxiety. In contrast, the MK-DAS, comprised a series of seven inquiries specifically targeting concerns regarding the treatment procedure and the fear of contagion. The data was analyzed using various statistical methods, including descriptive statistics, exploratory factor analysis, criterion validity, cluster analysis for cut-off points, and test-retest reliability. RESULTS: The factor analysis revealed that MK-DAS had a two-factor structure. The first factor consisted of five items related to various aspects of the treatment process (α:0.837), while the second factor included two items related to the fear of infectious diseases (α:0.747). The scale showed good reliability, as indicated by high Cronbach's alpha coefficients for both factors. Strong positive correlations were found between MDAS and the first factor of MK-DAS (r = 0.857; p < 0.01), moderate positive correlations between MDAS and the second factor (r = 0.323; p < 0.01), and a strong positive correlation between MDAS and the overall of MK-DAS (r = 0.782; p < 0.01). Additionally, the cluster analysis yielded a cut-off score of 17 based on the k-means analysis. Moreover, test-retest reliability analyses indicated that dimension 1 (ICC: 0.904), dimension 2 (ICC: 0.840), and overall MK-DAS (ICC: 0.944) demonstrated high internal consistency. CONCLUSION: The MK-DAS is an innovative and modern dental anxiety scale that has been proven to be reliable and valid, surpassing the comprehensiveness of the MDAS.

Flagging insufficient effort responses in surveys: Stopping rule to prevent insufficient or excessive removal of doubtful data.

Detecting participants not exerting sufficient effort (e.g., answering randomly; termed 'insufficient effort responding' or IER) in self-report surveys is crucial but intricate. Challenges of appropriately removing IER resemble a surgeon excising necrotic tissue without being inadequate, excessive, or incorrect. Current cutoff criteria for stopping the elimination of suspected IER responses are often arbitrary. This study proposes an external criterion strategy to identify the optimal cutoff values for various IER detection methods. We investigated the change in correlations between the IER-containing scale (e.g., motivation) and the external criterion (e.g., academic performance, socioeconomic status index, or another questionnaire scale) utilizing simulated and authentic international survey data. The findings revealed that the stopping rule and consequently, the optimal cutoff values for IER detection methods, can be accurately identified by locating the inflection point in the correlation plot with the external criterion. Practical strategies are recommended for applied researchers.

When Who Matters: Interviewer Effects and Survey Modality.

When and how to survey potential respondents is often determined by budgetary and external constraints, but choice of survey modality may have enormous implications for data quality. Different survey modalities may be differentially susceptible to measurement error attributable to interviewer assignment, known as interviewer effects. In this paper, we leverage highly similar surveys, one conducted face-to-face (FTF) and the other via phone, to examine variation in interviewer effects across survey modality and question type. We find that while there are no cross-modality differences for simple questions, interviewer effects are markedly higher for sensitive questions asked over the phone. These findings are likely explained by the enhanced ability of in-person interviewers to foster rapport and engagement with respondents. We conclude with a thought experiment that illustrates the potential implications for power calculations, namely, that using FTF data to inform phone surveys may substantially underestimate the necessary sample size for sensitive questions.

Calibrating Items Using an Unfolding Model of Item Response Theory: The Case of the Trait Personality Questionnaire 5 (TPQue5).

Unfolding item response theory (IRT) models are important alternatives to dominance IRT models in describing the response processes on self-report tests. Their usage is common in personality measures, since they indicate potential differentiations in test score interpretation. This paper aims to gain a better insight into the structure of trait personality, by investigating whether the dominance or alternatively the unfolding IRT model are better descriptors of the response processes on a personality measure constructed under the dominance response theorem. For the assessment of the dominant model, the Graded Response Model (GRM) is used; while for the unfolding model, the Generalized Graded Unfolding Model (GGUM) was examined. All analyses are conducted with the freely available R. A sample of 1340 Greek adults, employed in private and public organizations, fulfilled the Trait Personality Questionnaire 5 short-form (TPQue5). Findings contradict previous research on trait personality. In accordance to the construction method employed, the TPQue5 items are best understood by monotonically increasing item response functions (IRFs). Individuals responding to the TPQue5 increase their probability of endorsing its items as their trait level increases; this stands for all personality dimensions, although Openness to Experience exhibited mixed type of item response patterns. Further research directions, implications and limitations are also discussed.

"Are You a Boy or a Girl?"-A Missing Response Analysis.

Many adolescent health surveys ask if respondents are male or female. Non-response may be due to fear of de-anonymisation or being a gender-nonconforming youth. The present study investigates the frequency of non-response and its potential reasons. To this end, data from 54,833 adolescents aged 11-18 from six countries, participating in the 2018 Health Behaviour in School-aged Children (HBSC) study, were analysed. Respondents were divided into three groups: (1) "Responders" who answered both questions on age and gender, (2) "Age non-responders" who did not answer the question on age, and (3) "Gender non-responders" who answered the question on age but not the one on gender. These groups were compared regarding their non-response to other questions and regarding their health. Overall, 98.0% were responders, 1.6% were age non-responders and 0.4% were gender non-responders. On average, age non-responders skipped more questions (4.2 out or 64) than gender non-responders (3.2) and responders (2.1). Gender non-responders reported more psychosomatic complaints, more frequent substance use and lower family support than responders. This study shows that age and gender non-responders differ in their response styles, suggesting different reasons for skipping the gender question. The health disparities found between the groups suggest that further research should use a more nuanced approach, informed by LGBT+ youth's insights, to measure sex assigned at birth and gender identity.

Health Care Provider Stigma Toward Patients With Substance Use Disorders: Protocol for a Nationally Representative Survey.

BACKGROUND: The US overdose epidemic is an escalating public health emergency, accounting for over 100,000 deaths annually. Despite the availability of medications for opioid use disorders, provider-level barriers, such as negative attitudes, exacerbate the treatment gap in clinical care settings. Assessing the prevalence and intensity of provider stigma, defined as the negative perceptions and behaviors that providers embody and enact toward patients with substance use disorders, across providers with different specialties, is critical to expanding the delivery of substance use treatment. OBJECTIVE: To thoroughly understand provider stigma toward patients with substance use disorders, we conducted a nationwide survey of emergency medicine and primary care physicians and dentists using a questionnaire designed to reveal how widely and intensely provider attitudes and stigma can impact these providers' clinical practices in caring for their patients. The survey also queried providers' stigma and clinical practices toward other chronic conditions, which can then be compared with their stigma and practices related to substance use disorders. METHODS: Our cross-sectional survey was mailed to a nationally representative sample of primary care physicians, emergency medicine physicians, and dentists (N=3011), obtained by American Medical Association and American Dental Association licensees based on specified selection criteria. We oversampled nonmetropolitan practice areas, given the potential differences in provider stigma and available resources in these regions compared with metropolitan areas. Data collection followed a recommended series of contacts with participants per the Dillman Total Design Method, with mixed-modality options offered (email, mail, fax, and phone). A gradually increasing compensation scale (maximum US$250) was implemented to recruit chronic nonresponders and assess the association between requiring higher incentives to participate and providers stigma. The primary outcome, provider stigma, was measured using the Medical Condition Regard Scale, which inquired about participants' views on substance use and other chronic conditions. Additional survey measures included familiarity and social engagement with people with substance use disorders; clinical practices (screening, treating, and referring for a range of chronic conditions); subjective norms and social desirability; knowledge and prior education; and descriptions of their patient populations. RESULTS: Data collection was facilitated through collaboration with the National Opinion Research Center between October 2020 and October 2022. The overall Council of American Survey Research Organizations completion rate was 53.62% (1240/2312.7; physicians overall: 855/1681.9, 50.83% [primary care physicians: 506/1081.3, 46.79%; emergency medicine physicians: 349/599.8, 58.2%]; dentists: 385/627.1, 61.4%). The ineligibility rate among those screened is applied to those not screened, causing denominators to include fractional numbers. CONCLUSIONS: Using systematically quantified data on the prevalence and intensity of provider stigma toward substance use disorders in health care, we can provide evidence-based improvement strategies and policies to inform the development and implementation of stigma-reduction interventions for providers to address their perceptions and treatment of substance use. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47548.

Research Gap in Health Literacy: Are We Overlooking a Possible Solution to Inadequate Cancer Screening in India?

India has one of the highest oral cancer burdens and accounts for one out of every five cervical cancer incidences worldwide. Majority of these preventable cancers are diagnosed in advanced stages with poor prognosis and survival. World Health Organization supports health literacy as a measure for accomplishing sustainable development goals. Community trials have reported that health literacy-focused interventions improve cancer screening participation and adherence. In India health literacy research is unutilized for cancer screening. Majority of the research utilized proxy information using disease-specific knowledge, attitude, and socio-demographic characteristics for screening participation. Through this correspondence, we discuss the poor cancer screening coverage in India and the research gap in health literacy in Indian context. Without an understanding of the distribution of the components of health literacy and the development of context-specific interventions for improvement, it will be difficult for any technology or innovation to penetrate the community and increase screening coverage.

Refining United States Sexual Minority Adult Population Estimates with the Inclusion of "Something Else" and "Don't Know" Survey Responses.

Purpose: To refine estimates of the U.S. sexual minority population, we sought to characterize trends in the odds of respondents selecting "something else" or "don't know" when asked about sexual orientation on the National Health Interview Survey and to reclassify those respondents likely to be sexual minority adults. Methods: Logistic regression was conducted to test whether the odds of selecting "something else" or "don't know" increased over time. A previously established analytic approach was used to identify sexual minority adults among these respondents. Results: Between 2013 and 2018, the percentage of respondents selecting "something else" or "don't know" increased 2.7-fold, from 0.54% to 1.44%. Reclassifying respondents with >50% predicted probabilities of being sexual minorities increased sexual minority population estimates by as much as 20.2%. Conclusion: A growing proportion of adults are selecting "something else" or "don't know." Properly classifying these responses yields more accurate sexual minority population estimates.

A review of excluded groups and non-response in population-based mental health surveys from high-income countries.

National mental health surveys play a critical role in determining the prevalence of mental disorders in a population and informing service planning. However, current surveys have important limitations, including the exclusion of key vulnerable groups and increasing rates of non-response. This review aims to synthesise information on excluded and undersampled groups in national mental health surveys. We conducted a targeted review of nationally representative adult mental health surveys performed between 2005 and 2019 in high-income OECD countries. Sixteen surveys met our inclusion criteria. The response rate for included surveys ranged between 36.3% and 80.0%. The most frequently excluded groups included people who were homeless, people in hospitals or health facilities and people in correctional facilities. Males and young people were the most commonly underrepresented groups among respondents. Attempts to collect data from non-responders and excluded populations were limited, but suggest that mental health status differs among some of these cohorts. The exclusion of key vulnerable groups and high rates of non-response have important implications for interpreting and using the results of national mental health surveys. Targeted supplementary surveys of excluded or hard-to-reach populations, more inclusive sampling methodologies, and strategies aimed at improving response rates should be considered to strengthen the accuracy and usefulness of survey findings.

Measuring Remittances.

Remittances received by households from international migrants are of interest in an increasing number of microeconomic analyses. Making use of novel data, we measure misreporting of remittances sent by migrants in the United Arab Emirates (UAE) to remittance recipients in the Philippines. We obtained administrative transaction data from a sample of Filipino migrants who were clients of a popular money transfer operator (MTO). We then surveyed these migrants as well as their primary remittance recipients about the same remittance flows. Migrant-reported remittances are only 6% lower than MTO administrative records, and we cannot reject their equality. A custom smartphone app designed to facilitate migrant remittance reporting does not help raise reporting accuracy. Recipient-reported remittances are 23% lower than migrant reports on average. Recipients under-report even more when they receive remittances less frequently and when remittances make up a lower share of household income.

Development of a tool to assess bladder health knowledge, attitudes, and beliefs (BH-KAB).

INTRODUCTION: Few instruments measure knowledge, attitudes, and beliefs (KAB) related to bladder health. Existing questionnaires have predominantly focused on KAB related to specific conditions such as urinary incontinence, overactive bladder, and other pelvic floor disorders. To address this literature gap, the Prevention of Lower Urinary Tract Symptoms (PLUS) research consortium developed an instrument that is being administered in the baseline assessment of the PLUS RISE FOR HEALTH longitudinal study. METHODS: The bladder health knowledge, attitudes, and beliefs (BH-KAB) instrument development process consisted of two phases, item development and evaluation. Item development was guided by a conceptual framework, review of existing KAB instruments, and a review of qualitative data from the PLUS consortium Study of Habits, Attitudes, Realities, and Experiences (SHARE). Evaluation comprised three methods to assess content validity and reduce and refine items: q-sort, e-panel survey, and cognitive interviews. RESULTS: The final 18-item BH-KAB instrument assesses self-reported bladder knowledge; perceptions of bladder function, anatomy, and related medical conditions; attitudes toward different patterns of fluid intake, voiding, and nocturia; the potential to prevent or treat urinary tract infections and incontinence; and the impact of pregnancy and pelvic muscle exercises on bladder health. CONCLUSION: The PLUS BH-KAB instrument may be used independently or in conjunction with other KAB instruments for a more comprehensive assessment of women's KAB related to bladder health. The BH-KAB instrument can inform clinical conversations, health education programming, and research examining potential determinants of bladder health, LUTS, and related behavioral habits (e.g., toileting, fluid intake, pelvic muscle exercises).

Children's eating behaviours and related constructs: conceptual and theoretical foundations and their implications.

BACKGROUND: There is a substantial body of research on children's eating behaviours (e.g., food responsiveness and fussiness) and related constructs (e.g., eating in the absence of hunger, appetite self-regulation). This research provides a foundation for understanding children's dietary intakes and healthy eating behaviours, as well as efforts at intervention, whether in relation to food avoidance, overeating and/or trajectories to excess weight gain. The success of these efforts and their associated outcomes is dependent on the theoretical foundation and conceptual clarity of the behaviours and constructs. This, in turn contributes to the coherence and precision of the definitions and measurement of these behaviours and constructs. Limited clarity in these areas ultimately creates uncertainty around the interpretation of findings from research studies and intervention programs. At present there does not appear to be an overarching theoretical framework of children's eating behaviours and associated constructs, or for separate domains of children's eating behaviours/constructs. The main purpose of the present review was to examine the possible theoretical foundations of some of the main current questionnaire and behavioural measures of children's eating behaviours and related constructs. METHODS: We reviewed the literature on the most prominent measures of children's eating behaviours for use with children aged ~ 0-12 years. We focused on the explanations and justifications for the original design of the measures and whether these included theoretical perspectives, as well as current theoretical interpretations (and difficulties) of the behaviours and constructs. RESULTS: We found that the most commonly used measures had their foundations in relatively applied or practical concerns rather than theoretical perspectives. CONCLUSIONS: We concluded, consistent with Lumeng & Fisher (1), that although existing measures have served the field well, to advance the field as a science, and better contribute to knowledge development, increased attention should be directed to the conceptual and theoretical foundations of children's eating behaviours and related constructs. Suggestions for future directions are outlined.

Comparison of self-reported lifetime concussions and mild traumatic brain injuries among adults.

INTRODUCTION: The reliability of self-reported brain injury data relies on how well people interpret the questions. OBJECTIVE: This study examines how different yet commonly used questions may impact traumatic brain injury (TBI) estimates. METHODS: Self-report data were collected from 4,053 respondents in the summer wave of Porter Novelli's 2020 ConsumerStyles survey. Respondents were randomized to be asked about lifetime experience of either concussion or mild TBI (mTBI) and then asked follow-up questions. RESULTS: Approximately 25.5% of respondents reported sustaining a concussion in their lifetime while 17.2% reported an mTBI. The circumstances of the injuries, such as location and mechanism of injury, were similar. A greater percentage of individuals who were asked about concussions (91.1%) reported receiving a diagnosis for their most serious injury compared to those who were asked about diagnosis of an mTBI (69.9%). DISCUSSION: A greater percentage of respondents reported a lifetime history of concussion than mTBI. More respondents with a lifetime history of concussion reported receiving a diagnosis. These results suggest that the terminology used can impact reporting. These findings suggest that there is a meaningful difference in the understanding of the terms 'concussion' and 'mild TBI,' with people perceiving mTBI as a more serious injury.

Establishing nursing-sensitive quality indicators for pediatric oncology: An international mixed methods Delphi study.

INTRODUCTION: Nursing-sensitive indicators (NSIs) measure factors influencing nursing care quality and patient outcomes. Established NSIs reflect general and select specialty nursing practices. However, a core set of NSIs for international pediatric oncology nursing practice does not currently exist. Without valid and reliable quality indicators, the impact of nursing care on children and adolescents with cancer cannot be effectively measured and improved. The purpose of this study was to develop a preliminary core set of NSIs for international pediatric oncology nursing that would be important, actionable, and feasible to measure across varied resource settings and countries. DESIGN/METHODS: A multiphase sequential mixed methods research design, intersected with a classical Delphi method, was utilized. Through purposive snowball sampling, 122 expert pediatric oncology nurses from 43 countries participated. Round One: Panelists identified five potential NSIs and constructs. Open-ended responses were coded and categorized through descriptive content analysis and integrated into the next round. Round Two: Panelists selected their top 10 NSIs and constructs and ranked them by importance to patient care quality. Mean importance scores were calculated through reverse scoring; the top 10 NSIs and constructs were integrated into the next round. Round Three: Panelists ranked the top 10 NSIs and constructs by order of importance for this particular population, then rated each NSI/Construct for actionability and feasibility of measurement by Likert-scale. Rounds Two and Three were analyzed using descriptive statistics. Mixed methods meta-inferences were derived from the integration of Rounds One and Three findings. RESULTS: Eighty-five (70%) panelists from 38 countries completed all Delphi survey rounds. The preliminary core set of NSIs and constructs identified by the expert panel, and ranked in order of importance, were as follows: safe chemotherapy administration and handling, infection prevention/control, pediatric oncology nursing orientation program, early warning score system/recognition of patient deterioration, chemotherapy/biotherapy education/course, pain assessment/management, symptom assessment/management, patient and family education, palliative/end of life care, and continuing nursing education/competency. All NSIs and constructs were rated as actionable; all but palliative/end of life care were rated as feasible to measure. Each of the 10 NSIs and constructs were nominated in Round One by at least one expert panelist from low- and middle-income and high-income countries, and at least one panelist from the Americas. CONCLUSION: Preliminary core NSIs and constructs provide insight into common attributes of international pediatric oncology nursing practice that are important, actionable, and feasible for quality measurement. CLINICAL RELEVANCE: NSIs have the potential to drive quality improvement, guide comparison with other institutions, promote knowledge-sharing, and advance pediatric oncology nursing outcomes around the world. These NSIs and constructs may also be relevant to other pediatric and adult oncology settings.