Background: International research has established that children and adolescents are at high risk for being exposed to violence. A systematic review published in 2023 recommended six child and adolescent self-report violence against children (VAC) measures, based on their psychometric properties, in a systematic COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) review. However, the degree of overlap and heterogeneity was not part of the analysis.Objective: To compare the six measures with respect to item overlap and differences concerning specification of exposure dimensions.Method: A content analysis of the original 174 items resulted in a reduction to 38 unique items. These items were organized visually in a co-occurrence circle using an adapted version of Fried\'s R code. Furthermore, a pairwise comparison of event lists was performed using the Jaccard index.Results: There was a modest overlap among the six measures. Only one item was present in all six measures, only two items were present in four measures, and 78% of the items were present in just one or two measures. The overall overlap between the six measures was 25%.Conclusions: The lack of overlap among measures reflects a heterogeneity of definitions and purposes. It also impedes progress in research, as comparisons between various studies are difficult to make in a valid and reliable way. The lack of consensus also delays efficient political initiatives, because solid, consensual knowledge about the prevalence of VAC does not exist.
Violence against children (VAC) is a high political and professional priority. A recent systematic review recommended six self-report measures based on their psychometric qualities.The VAC items were very diverse. A content analysis reduced the original 174 items to 38 unique items. A Jaccard index showed an overlap of 25%.The lack of consensus in definitions and applied measures impedes progress in research and delays important political, prophylactic initiatives.

OBJECTIVE: This study aims to explore and describe self-reported perceptions of nursing students\' competence in the administration of medication.
BACKGROUND: Medication errors are a significant concern in hospitals, as they can result in serious harm and even death for patients. Nursing students play a crucial role in administering medication and preventing errors, but they are also prone to making mistakes. While numerous studies have extensively examined the factors that contribute to medication errors, few have focused on the assessment of competency among nursing students.
METHODS: This study employed a qualitative exploratory and descriptive design.
METHODS: A total of 10 undergraduate nursing students at a higher education institution consented to participate in face-to-face, semi-structured individual interviews. Data were collected between August and September 2022 using an interview guide. The interviews were audio recorded and analysed using Braun and Clarke\'s six steps of thematic analysis.
RESULTS: The study revealed two major themes: (1) \'Perceived barriers to competency\', which include participants\' concerns regarding making errors, knowledge in pharmacology, self-efficacy in mathematics and level of supervision; and (2) \'Mechanisms for improvement\', which centre on enhancing simulation proficiency, improving supervision and integrating pharmacology education in year two of nursing training.
CONCLUSIONS: The study findings suggest that student nurses face various barriers to competence, such as a fear of making mistakes, a lack of pharmacology knowledge and low self-confidence in calculating drug dosages. To address these issues, prioritising supervision is crucial to facilitate student learning and ensure safety. Future research should consider investigating the perspectives of nurse educators on pharmacology curricula.

BACKGROUND:  Self-reports of electronic cigarette (ECIG) device and liquid characteristics are not always accurate or consistent with characteristics as measured by researchers. Two methods for measuring ECIG characteristics were compared: user self-reports and rater-coded pictures.
METHODS:  Exclusive ECIG users (N = 321) reported on device (disposable, refillable, adjustable power, brand) and liquid (nicotine concentration, formulation, flavor) characteristics. To measure device type, they chose the term that best described their device (\"cig-alike,\" \"vape pen,\" \"mod,\" \"pod,\" \"don\'t know\") and the picture that best resembled their device (cig-alike, vape pen, box mod, USB-shaped pod, teardrop-shaped pod, none). Respondents uploaded device and liquid pictures, and independent raters coded these same features. Agreement between methods was examined with Cohen\'s kappa and intra-class correlations, including with \"don\'t know\" responses included and excluded from analyses.
RESULTS:  Regardless of how \"don\'t know\" responses were treated, agreement was highest for disposable (95.3-97.7%), refillable (96.3%), adjustable power (83.6-88.7%), and brand (77.9-80.4%), and lower for nicotine concentration (72.7%), nicotine formulation (58.6-79.4%), and flavor (66.2%). For device type, agreement was moderate using both term-based (67.9-78.8%) and picture resemblance-based (71.7%) items. For terms, the greatest discrepancy was for devices classified as \"vape pens\" by self-reports; of these, 70.6% were classified as \"pods\" by raters. For picture resemblance, ∼13% of users reported that their device resembled none of the pictures; raters classified these devices as USB-shaped pods (50.0%) and mods (23.8%).
CONCLUSIONS:  Self-reports may be sufficient for measuring some characteristics (brand, disposable, refillable, adjustable power), but not others (nicotine concentration and formulation, and some flavor).

Introduction: Following a period of social isolation from the COVID-19 pandemic, social interactions may be particularly complicated for individuals with elevated levels of social anxiety. One potential implication relates to the use of face masks. Face masks have been used as an effective tool to prevent the transmission of COVID-19. However, for individuals with elevated social anxiety, face masks may be a form of avoidance and type of safety behavior and discontinued use of face masks may be associated with increases in social anxiety. In response to these possibilities, the purpose of this study was to develop a measure to assess potential anxiety-related reactions to face masks. Method: Participants were 564 nonreferred young adults who completed a measure developed for this study to assess behaviors and reactions to face masks (Reaction to Face Masks Questionnaire), including anxiety and avoidance behaviors. Measures of social anxiety, more general avoidance, and safety behaviors were also included. Results: Based on an exploratory factor analysis, a two-factor model was retained. Safety-Seeking and Avoidance (SSA) measures reductions in social anxiety derived from a feeling of safety when wearing a face mask, and Social Interference measures increases in social anxiety symptoms related to the interference/inhibition of social interactions related to wearing masks. Both subscales were found to be associated with general measures of social anxiety, more general avoidance, and safety behaviors; however, the correlations were more robust for the SSA subscale. Discussion: Based on the current findings, general social anxiety and common correlates of social anxiety, including safety-seeking behaviors, were found to be associated with face mask anxiety and avoidance. Implications for future research and potential clinical practice are discussed.

BACKGROUND: Ecological momentary assessment (EMA) is a measurement methodology that involves the repeated collection of real-time data on participants\' behavior and experience in their natural environment. While EMA allows researchers to gain valuable insights into dynamic behavioral processes, the need for frequent self-reporting can be burdensome and disruptive. Compliance with EMA protocols is important for accurate, unbiased sampling; yet, there is no \"gold standard\" for EMA study design to promote compliance.
OBJECTIVE: The purpose of this study was to use a factorial design to identify optimal study design factors, or combinations of factors, for achieving the highest completion rates for smartphone-based EMAs.
METHODS: Participants recruited from across the United States were randomized to 1 of 2 levels on each of 5 design factors in a 2×2×2×2×2 design (32 conditions): factor 1-number of questions per EMA survey (15 vs 25); factor 2-number of EMAs per day (2 vs 4); factor 3-EMA prompting schedule (random vs fixed times); factor 4-payment type (US $1 paid per EMA vs payment based on the percentage of EMAs completed); and factor 5-EMA response scale type (ie, slider-type response scale vs Likert-type response scale; this is the only within-person factor; each participant was randomized to complete slider- or Likert-type questions for the first 14 days or second 14 days of the study period). All participants were asked to complete prompted EMAs for 28 days. The effect of each factor on EMA completion was examined, as well as the effects of factor interactions on EMA completion. Finally, relations between demographic and socioenvironmental factors and EMA completion were examined.
RESULTS: Participants (N=411) were aged 48.4 (SD 12.1) years; 75.7% (311/411) were female, 72.5% (298/411) were White, 18.0% (74/411) were Black or African American, 2.7% (11/411) were Asian, 1.5% (6/411) were American Indian or Alaska Native, 5.4% (22/411) belonged to more than one race, and 9.6% (38/396) were Hispanic/Latino. On average, participants completed 83.8% (28,948/34,552) of scheduled EMAs, and 96.6% (397/411) of participants completed the follow-up survey. Results indicated that there were no significant main effects of the design factors on compliance and no significant interactions. Analyses also indicated that older adults, those without a history of substance use problems, and those without current depression tended to complete more EMAs than their counterparts. No other demographic or socioenvironmental factors were related to EMA completion rates. Finally, the app was well liked (ie, system usability scale score=82.7), and there was a statistically significant positive association between liking the app and EMA compliance.
CONCLUSIONS: Study results have broad implications for developing best practices guidelines for future studies that use EMA methodologies.
BACKGROUND: ClinicalTrials.gov number NCT05194228; https://clinicaltrials.gov/study/NCT05194228.

UNASSIGNED: Hope is an integral, multi-dimensional part of seeking medical treatment. The aim of this study was to develop a self-report scale, the Hope in Medicine (HIM) scale, to measure different modes of hoping in relation to the course of symptoms, the effects of treatment, and supporting medical research.
UNASSIGNED: We examined the psychometric properties of the scale in a sample of 74 allergic rhinitis patients participating in a 2-week randomized-controlled trial comparing open-label placebos (OLP) with treatment as usual (TAU).
UNASSIGNED: The HIM scale had a Cronbach\'s α of .78. An exploratory factor analysis revealed four factors: realistic hope (i.e., hoping for specific positive outcomes such as improvement in symptoms), transcendent hope (i.e., non-directed hoping that things will turn out positively), utopian hope (i.e., hoping to contribute to greater knowledge), and technoscience hope (i.e., hoping for scientific breakthroughs). Speaking to the convergent validity of the scale, realistic hope was moderately related to treatment expectancies (r = .54); transcendent hope was related to optimism (r = .50), treatment expectancies (r = .37), self-efficacy (r = .36), and inversely correlated with pessimism (r = -.43). Hope subscales predicted neither course of symptoms nor impairment.
UNASSIGNED: The HIM scale is a questionnaire with adequate internal consistency allowing to assess four modes of hoping. Preliminary results for its convergent validity are promising. Yet, further validation is needed.

OBJECTIVE: To compare parent/carer proxy-reported dental caries experience of their 5-year-old child with epidemiological survey clinician examination of caries experience in the same children. To determine any differences in the accuracy by area-based socioeconomic group.
METHODS: A cross-sectional data linkage study linked data from the Growing Up in Scotland (GUS) study and the National Dental Inspection Programme (NDIP) school epidemiology survey. Parent/carer proxy-reported caries experience was compared with clinician-measured caries experience on n=3008 children, and data were stratified by home-residential area-based socioeconomic deprivation levels (Scottish Index of Multiple Deprivation (SIMD)). Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated overall and stratified by SIMD.
RESULTS: Overall, parent/carer proxy-reporting had low sensitivity (42.3% 95%CI: 39.0, 45.7) that decreased with decreasing deprivation (SIMD-1(most deprived): 49.4% to SIMD-5 (least deprived): 37.2%). Specificity remained consistently high overall and across area-based socioeconomic deprivation levels (overall=96.2%, 95%CI: 95.3, 97.0; SIMD-1: 94.4% SIMD-5: 97.8%). In children whose parents/carers reported them to have caries experience (GUS) a high percentage were found to have caries experience (NDIP) (PPV=81.8%, 95%CI: 78.2, 84.9).
CONCLUSIONS: Parent/carer proxy-reporting of caries experience in 5-year-old children had very low sensitivity and was lowest in children from the least deprived areas. In contrast, parents/carers who reported their child had caries experience did so reasonably accurately. This study concludes that proxy reporting caries experience is not sufficiently sensitive to replace clinician examination in assessing dental caries experience in surveys of child populations and highlights the importance of data linkage to routine datasets.

BACKGROUND: Health system fragmentation directly contributes to poor health and social outcomes for older adults with multiple chronic conditions and their care partners. Older adults often require support from primary care, multiple specialists, home care, community support services, and other health-care sectors and communication between these providers is unstructured and not standardized. Integrated and interprofessional team-based models of care are a recommended strategy to improve health service delivery to older adults with complex needs. Standardized assessment instruments deployed on digital platforms are considered a necessary component of integrated care. The aim of this study was to develop strategies to leverage an electronic wellness instrument, interRAI Check Up Self Report, to support integrated health and social care for older adults and their care partners in a community in Southern Ontario, Canada.
METHODS: Group concept mapping, a participatory mixed-methods approach, was conducted. Participants included older adults, care partners, and representatives from: home care, community support services, specialized geriatric services, primary care, and health informatics. In a series of virtual meetings, participants generated ideas to implement the interRAI Check Up and rated the relative importance of these ideas. Hierarchical cluster analysis was used to map the ideas into clusters of similar statements. Participants reviewed the map to co-create an action plan.
RESULTS: Forty-one participants contributed to a cluster map of ten action areas (e.g., engagement of older adults and care partners, instrument\'s ease of use, accessibility of the assessment process, person-centred process, training and education for providers, provider coordination, health information integration, health system decision support and quality improvement, and privacy and confidentiality). The health system decision support cluster was rated as the lowest relative importance and the health information integration was cluster rated as the highest relative importance.
CONCLUSIONS: Many person-, provider-, and system-level factors need to be considered when implementing and using an electronic wellness instrument across health- and social-care providers. These factors are highly relevant to the integration of other standardized instruments into interprofessional team care to ensure a compassionate care approach as technology is introduced.

OBJECTIVE: Quality of life (QoL) is identified as a clinical and research priority by the autistic community. Researchers have the responsibility to ensure that instruments used to measure QoL do so reliably and accurately among autistic participants.
METHODS: Our study evaluated measurement invariance of Emotional Distress (Depression, Anxiety, Anger, Psychological Stress) and Subjective Well-Being (Life Satisfaction, Positive Affect, and Meaning & Purpose) scales of the Patient-Reported Outcomes Measurement Information System (PROMIS) among groups of autistic (N=140, n per scale=132-140) and general population (N=1,224, n per scale=406-411) teenagers (14-17 years). These scales were included in the PROMIS Autism Battery-Lifespan, which uses PROMIS scales to measure QoL domains most relevant for autistic people.
RESULTS: Multi-group confirmatory factor analyses using permutation tests demonstrated that Depression and Positive Affect scales exhibited scalar invariance between groups, indicating that scores can be meaningfully compared across autistic and general population teens. Anger and Psychological Stress scales demonstrated metric invariance between groups, indicating that these scales measure the same latent trait in both groups, but group comparisons are not supported.
CONCLUSIONS: We provide guidance as to how these scales can be used in psychometrically supported ways to capture constructs relevant for understanding QoL among autistic teens.
Quality of life is an important outcome for autistic people and their families. However, many quality of life scales have not been tested to make sure they accurately measure quality of life among autistic people. It is important to make sure that quality of life measures works similarly among the autistic population. The goal of our study is to test whether scales on a common quality of life measure – the Patient-Reported Outcomes Measurement Information System (PROMIS) – measures quality of life in the same way between autistic and general population adolescents. We found that some of the PROMIS scales worked the same way for autistic and general population adolescents and others did not. These results help researchers confidently use the PROMIS scales to measure different aspects of quality of life among autistic youth.

BACKGROUND: Drug data has been used to estimate the prevalence of chronic diseases. Disease registries and annual surveys are lacking, especially in less-developed regions. At the same time, insurance drug data and self-reports of medications are easily accessible and inexpensive. We aim to investigate the similarity of prevalence estimation between self-report data of some chronic diseases and drug data in a less developed setting in southwestern Iran.
METHODS: Baseline data from the Pars Cohort Study (PCS) was re-analyzed. The use of disease-related drugs were compared against self-report of each disease (hypertension [HTN], diabetes mellitus [DM], heart disease, stroke, chronic obstructive pulmonary disease [COPD], sleep disorder, anxiety, depression, gastroesophageal reflux disease [GERD], irritable bowel syndrome [IBS], and functional constipation [FC]). We used sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the Jaccard similarity index.
RESULTS: The top five similarities were observed in DM (54%), HTN (53%), heart disease (32%), COPD (30%), and GERD (15%). The similarity between drug use and self-report was found to be low in IBS (2%), stroke (5%), depression (9%), sleep disorders (10%), and anxiety disorders (11%).
CONCLUSIONS: Self-reports of diseases and the drug data show a different picture of most diseases\' prevalence in our setting. It seems that drug data alone cannot estimate the prevalence of diseases in settings similar to ours. We recommend using drug data in combination with self-report data for epidemiological investigation in the less-developed setting.