Evaluation of measurement errors in the Patient-Oriented Eczema Measure (POEM) outcome.

BACKGROUND: The Patient-Oriented Eczema Measure (POEM) is the recommended core outcome instrument for atopic dermatitis (AD) symptoms. POEM is reported by recalling the presence/absence of seven symptoms in the last 7 days. OBJECTIVE: To evaluate measurement errors in POEM recordings due to imperfect recall. METHODS: Using data from a clinical trial of 247 AD patients aged 12-65 years, we analysed the reported POEM score (r-POEM) and the POEM derived from the corresponding daily scores for the same seven symptoms without weekly recall (d-POEM). We quantified recall error by comparing the r-POEM and d-POEM for 777 patient-weeks collected from 207 patients, and estimated two components of recall error: (1) recall bias due to systematic errors in measurements and (2) recall noise due to random errors in measurements, using a bespoke statistical model. RESULTS: POEM scores have a relatively low recall bias, but a high recall noise. Recall bias was estimated at 1.2 points lower for the r-POEM on average than the d-POEM, with a recall noise of 5.7 points. For example, a patient with a recall-free POEM of 11 (moderate) could report their POEM score anywhere from 5 to 14 (with 95% probability) because of recall error. Model estimates suggested that patients tend to recall itch and dryness more often than experienced (positive bias of less than 1 day), but less often for the other symptoms (bleeding, cracking, flaking, oozing/weeping and sleep disturbance; negative bias ranging 1-4 days). CONCLUSIONS: In this clinical trial data set, we found that patients tended to slightly underestimate their symptoms when reporting POEM, with significant variation in how well they were able to recall the frequency of their symptoms every time they reported POEM. A large recall noise should be taken into consideration when interpreting POEM scores.

Differential recall bias in estimating treatment effects in observational studies.

Observational studies are frequently used to estimate the effect of an exposure or treatment on an outcome. To obtain an unbiased estimate of the treatment effect, it is crucial to measure the exposure accurately. A common type of exposure misclassification is recall bias, which occurs in retrospective cohort studies when study subjects may inaccurately recall their past exposure. Particularly challenging is differential recall bias in the context of self-reported binary exposures, where the bias may be directional rather than random and its extent varies according to the outcomes experienced. This paper makes several contributions: (1) it establishes bounds for the average treatment effect even when a validation study is not available; (2) it proposes multiple estimation methods across various strategies predicated on different assumptions; and (3) it suggests a sensitivity analysis technique to assess the robustness of the causal conclusion, incorporating insights from prior research. The effectiveness of these methods is demonstrated through simulation studies that explore various model misspecification scenarios. These approaches are then applied to investigate the effect of childhood physical abuse on mental health in adulthood.

Association analysis of self-reported outcomes with a validated subset.

In health-science research, outcomes ascertained through surveys and interviews are subject to potential bias with respect to the true outcome status, which is only ascertainable with clinical and laboratory assessment. This measurement error may lead to biased inference when evaluating associations between exposures and outcomes of interest. Here, we consider a cohort study in which the outcome of interest is ascertained via questionnaire, subject to imperfect ascertainment, but where a subset of participants also have a clinically assessed, validated outcome available. This presents a methodological opportunity to address potential bias. Specifically, we constructed the likelihood in two parts, one using the validated subset and the other using a subset without validation. This work expands on that proposed by Pepe and enables inference with standard statistical software. Weighted generalized linear model estimates for our method and maximum likelihood estimates (MLE) for Pepe's method were computed, and the statistical inference was based on the standard large-sample likelihood theory. We compare the finite sample performance of two approaches through Monte Carlo simulations. This methodological work was motivated by a large cohort study of long-term childhood cancer survivors, allowing us to provide a relevant application example where we examined the association between clinical factors and chronic health conditions.

Validation of mobile phone use recall in the multinational MOBI-kids study.

Potential differential and non-differential recall error in mobile phone use (MPU) in the multinational MOBI-Kids case-control study were evaluated. We compared self-reported MPU with network operator billing record data up to 3 months, 1 year, and 2 years before the interview date from 702 subjects aged between 10 and 24 years in eight countries. Spearman rank correlations, Kappa coefficients and geometric mean ratios (GMRs) were used. No material differences in MPU recall estimates between cases and controls were observed. The Spearman rank correlation coefficients between self-reported and recorded MPU in the most recent 3 months were 0.57 and 0.59 for call number and for call duration, respectively. The number of calls was on average underestimated by the participants (GMR = 0.69), while the duration of calls was overestimated (GMR = 1.59). Country, years since start of using a mobile phone, age at time of interview, and sex did not appear to influence recall accuracy for either call number or call duration. A trend in recall error was seen with level of self-reported MPU, with underestimation of use at lower levels and overestimation of use at higher levels for both number and duration of calls. Although both systematic and random errors in self-reported MPU among participants were observed, there was no evidence of differential recall error between cases and controls. Nonetheless, these sources of exposure measurement error warrant consideration in interpretation of the MOBI-Kids case-control study results on the association between children's use of mobile phones and potential brain cancer risk.

Social value orientation modulates behavioral and neural responses to social influence.

Substantial studies have investigated the social influence effect; however, how individuals with different social value orientations (SVOs), prosocials and proselfs, respond to different social influences remains unknown. This study examines the impact of positive and negative social information on the responses of people with different SVOs. A face-attractiveness assessment task was employed to investigate the relationships between influence probability, memory, and event-related potentials of social influence. A significant interactional effect suggested that prosocials and proselfs reacted differently to positive (group rating was more attractive) and negative (group rating was less attractive) social influences. Specifically, proselfs demonstrated significantly higher influence probability, marginally better recall performance, smaller N400, and larger late positive potential on receiving negative influence information than on receiving positive influence information, while prosocials showed no significant differences. Overall, correlations between N400/LPP, influence probability, and recall performance were significant. The above results indicate the modulating role of SVO when responding to social influence. These findings have important implications for understanding how people conform and how prosocial behavior occurs.

More than blood: app-tracking reveals variability in heavy menstrual bleeding construct.

BACKGROUND: Heavy menstrual bleeding (HMB) is associated with impaired quality of life and may signal serious health problems. Unresolved challenges in measuring menstrual bleeding and identifying HMB have hampered research and clinical care. Self-reported bleeding histories are commonly used but these may be influenced by recall bias, personal beliefs regarding "normal" flow volume, and the experience of other physical symptoms or disruptions to daily life. The potential usefulness of menstrual-tracking mobile applications, which allow real-time user-entered data recording, for assessing HMB has not been studied. We evaluated recall bias in reported period duration, the relationship of tracked period duration and daily flow volume to subsequently reported period heaviness, variation in quality of life associated with increasing period heaviness, and the advantages and limitations of using app-tracked data for clinical and research purposes. METHODS: An online questionnaire was distributed to current users of Clue, a commercially available menstrual health tracking app, asking them to characterize their last period. We compared responses to the user's corresponding Clue app-tracked data. The study sample comprised 6546 U.S.-based users (aged 18-45 years). RESULTS: Increasing reported heaviness was associated with increasing app-tracked period length and days of heavy flow, impaired quality-of-life (especially body pain severity), and disrupted activities. Of those reporting having had a heavy/very heavy period, ~ 18% had not tracked any heavy flow, but their period length and quality-of-life indicators were similar to those who had tracked heavy flow. Sexual/romantic activities were the most affected across all flow volumes. Compared to app-tracked data, 44% recalled their exact period length; 83% recalled within ± 1 day. Overestimation was more common than underestimation. However, those with longer app-tracked periods were more likely to underestimate period length by ≥ 2 days, a pattern which could contribute to under-diagnosis of HMB. CONCLUSION: Period heaviness is a complex construct that encapsulates flow volume and, for many, several other bleeding-associated experiences (period length, bodily impairments, disruptions of daily activities). Even very precise flow volume assessments cannot capture the multi-faceted nature of HMB as experienced by the individual. Real-time app-tracking facilitates quick daily recording of several aspects of bleeding-associated experiences. This more reliable and detailed characterization of bleeding patterns and experiences can potentially increase understanding of menstrual bleeding variability and, if needed, help to guide treatment.

Recall bias of students' affective experiences in adolescence: The role of personality and internalizing behavior.

INTRODUCTION: Adolescence is characterized by multiple biopsychosocial changes, associated with a high intraindividual variability of emotional experiences. Previous findings suggest that this intraindividual variability is reflected in a recall bias of adolescents' emotion reports. However, corresponding findings are scarce and inconclusive. Studies on predictors of recall bias in adulthood indicate that personality traits, especially neuroticism and extraversion, as well as specific internalizing disorders might affect recall bias of emotion reports. METHODS: The sample consists of 118 Swiss adolescent students in grade 8 and 9 (Mage = 15.15, SDage = 0.89). The students' momentary affective experience was recorded using smartphones over seven consecutive days in situ at 42 randomly generated occasions (six per day), with a total of 1059 protocols on current events. At the end of the experience-sampling phase, students filled out an online questionnaire, providing information about their personality and typical behavior as well as their retrospective affective experience. In addition, the students' behavior was evaluated by their teachers. We applied two-level structural equation modeling with latent difference variables. RESULTS: Adolescents high in extraversion showed retrospective overestimation of positive affective experiences and underestimation of negative affective experiences. Adolescents with high neuroticism tended to overestimate negative affect retrospectively, showing no significant effects for positive affect. However, internalizing behavior did not predict a negative recall bias in adolescents' affective experience. CONCLUSIONS: Retrospective self-reports about adolescents' affective experience are biased by relatively stable individual factors, whereas less stable individual factors did not seem to have any influence.

Has the COVID-19 pandemic changed household food management and food waste behavior? A natural experiment using propensity score matching.

Household food management behavior changed considerably during the COVID-19 pandemic. A growing body of work has quantified the impact of lockdowns on household food waste. Yet, previous studies used a retrospective study design which undermines the accuracy of the causal effect on household food waste. This paper investigates the causal impact of the COVID-19 pandemic on household food management and food waste using a natural experiment approach. Using two large national-scale longitudinal data sets (n = 8157), this study quantifies the impact of COVID-19 on food waste and food behavior of Australian households. Propensity score matching (PSM) was carried out to address potential endogeneity issues and to select control and treatment groups for analysis. Findings reveal that Australian households reduced food waste by 9% on average in 2020 (during COVID-19) compared to the pre-pandemic (2019) level. The use of a grocery list, discount purchases, and 'just-in-case' purchases, and food refrigeration have recorded a marked increase during the pandemic compared to pre-pandemic times. The changes to food management and food discard behavior during the pandemic offer important insights for behavior change campaigns to reduce household food waste. Interventions to sustain good food planning and storage practices and involving food retailers are promising entry points in addressing household food waste. The study also highlights the considerable challenge in achieving SDG 12.3 target by 2030.

Wide Awake Local Anesthesia No Tourniquet Surgery of Carpal Tunnel Syndrome: Patients' Experience and Recall Bias in a Day-Care Setting.

Background and Objective: Wide-Awake Local Anesthesia No Tourniquet (WALANT) is a technique of local anesthesia commonly used in the surgical treatment of a wide variety of conditions affecting the upper extremity, including Carpal Tunnel Syndrome (CTS). The recent retrospective studies investigated patient experiences in a wide variety of hand disorder-related cases. The aim of our study is to evaluate patient satisfaction regarding open surgical treatment for CTS using the WALANT technique. Material and Methods: we enrolled 82 patients with CTS without medical record of surgical treatment for CTS. For WALANT, a hand surgeon used a combination of 1:200,000 epinephrine, 1% lidocaine, and 1 mL 8.4% sodium bicarbonate solution without tourniquet application and sedating the patient. All patients were treated in a day-care setting. For assessment of patient experience, Lalonde's questionnaire was adapted. Participants completed survey twice: one month and six months after the surgical treatment was performed. Results: the median pre-operative pain score for all patients was 4 (range 0-8) after one month and 3 (range 1-8) after six months. The median intraoperative pain score for all patients was 1 (range 0-8) after one month and 1 (range 1-7) after six months. The median post-operative pain score for all patients was 3 (range 0-9) after one month and 1 (range 0-8) after six months. More than half (61% after one month and 73% after six months) of the patients responded by stating that their real experience of WALANT was better than their initial expectations. An absolute majority of patients (95% after one month and 90% after six months) would recommend WALANT treatment to their relatives. Conclusions: overall, patient satisfaction with treatment for CTS using WALANT is high. Furthermore, complications related to the performed treatment and persistent post-operative pain could be associated with more reliable patient recall of this healthcare intervention. A longer period of time between intervention and assessment of patient experience could possibly be a reason for recall bias.

Trajectory and determinants of agreement between parental and physicians' reports of childhood atopic dermatitis.

BACKGROUND: Parent self-administered reports are commonly used in studies on childhood atopic dermatitis (AD) but data on its validity are sparse. We aimed to examine the agreement between parent- and physician-reported measures of childhood AD throughout early life and identify the determinants. METHODS: In this prospective cohort study, we used data of 449 infants and their mothers recruited in the Ulm SPATZ Health Study in Germany. Longitudinal data of parental and children's caring physicians' reports were used to assess the point and cumulative agreement of parent- and physician-reported AD diagnoses, AD onset age, and trend of agreement at child ages between 1 and 6 years overall and by child and parent demographics and health conditions. A Generalized Estimating Equation model was fitted to identify factors associated with the sensitivity of parent reports. RESULTS: The point agreement between parent- and physician-reported AD was substantial at the age of 1 (kappa = 0.63, 95% CI: 0.51-0.75) but declined with age and became fair after the age of 3 (kappa < 0.40). The cumulative agreement remained moderate at the age of 6 (kappa = 0.51, 95% CI: 0.43-0.60). Parents had a bias towards delayed reporting of the AD onset age. The AD severity was the only strong determinant for the agreement of AD diagnoses and largely explained the variance of the sensitivity of parent reports. CONCLUSION: The disagreement between parent- and physician-reported AD increases with child age, likely due to the change of AD severity. Using parent-reported data might miss a substantial portion of mild childhood AD cases.

Women's Life Experiences and Shifting Reports of Pregnancy Planning.

BACKGROUND: Unplanned pregnancy is associated with adverse consequences for women. Yet, these associations are typically based on women's reports of pregnancy planning provided post birth. Therefore, women's recollection of their pregnancy planning may be influenced by their adverse life circumstances following the pregnancy, artificially driving these associations. METHODS: To understand how post-birth experiences pattern women's recall of their pregnancy planning, we conducted 17 in-depth interviews with young women (24-34 years old) enrolled in a longitudinal study in southern Malawi. Respondents who were pregnant at the time of data collection in 2015 answered close-ended questions about the planning of their pregnancy. During in-depth interviews three years later, women discussed their life experiences since the pregnancy and were re-asked a subset of the same questions about the planning of the 2015 pregnancy. We thematically coded respondents' narratives about their relationships, parenting, and economic situations in the three years following their pregnancy and mapped these onto changes in women's pre- and post-birth reports of their pregnancy planning. RESULTS: More than one-half of respondents recalled their pregnancy planning differently than they did pre-birth-some as more planned, others as less planned. The presence and direction of women's changing reports were patterned by the quality of their relationship with the child's father, the father's involvement as a partner and parent, and their economic situation. CONCLUSIONS: Women's life experiences following a birth correspond with changes in their pregnancy planning reports, emphasizing the limitations of using retrospective measures to study the consequences of unplanned fertility.

High recall bias in retrospective assessment of the pediatric International Knee Documentation Committee Questionnaire (Pedi-IKDC) in children with knee pathologies.

PURPOSE: The increasing incidence of knee injuries among children is well known by sports physicians. Papers dealing with this topic have often collected patient-reported outcomes measures (PROMs) in a retrospective manner; this limitation could lead to a misinterpretation of the results, because pediatric patients might not remember their preoperative conditions adequately. This study aims to evaluate the reliability and the reproducibility of the IKDC pediatric score when administered retrospectively at a 12-month follow-up. METHODS: From September 2018 and June 2019, all patients aged 7-18 scheduled for surgery due to different knee pathologies in a single center were considered eligible. Parents were contacted by phone for consent. An open-source platform was implemented to collect the responses: two surveys were created (Q1, Q2). They included general information and the Pedi-IKDC score. Q1 was completed prospectively, while Q2 was completed 12 months after surgery. The two questionnaires were identical, and patients were carefully advised to complete Q2 recalling their health status before surgery. ICC and the concordance correlation coefficient (ρc) were used to assess the reproducibility between the prospective and recalled scores. RESULTS: Sixty-six patients responded to Q1 and Q2, and the mean age was 12.9 ± 2.2 years at Q1 and 14.1 ± 2.2 years at Q2. The mean time between Q1 and Q2 was 14.1 ± 2.1 months. Between prospective-IKDC and recall-IKDC, the ICC coefficient was "poor" at 0.32 (CI 0.09 to 0.5) and the ρc was "poor" at 0.4 (CI 0.29 to 0.51). Mean prospective-IKDC was 76.8 ± 23.52 mean recalled-IKDC was 60.4 ± 11.5 (P < 0.0001), while mean difference was -16.3 ± 2.09. Simple linear regression models showed that Δ-IKDC is independently associated with age at Q1 (R2 = 0.2676; P0.0001) and prospective-IKDC (R2 = 0.653; P < 0.0001). CONCLUSIONS: Retrospective collection of the Pedi-IKDC score is not reliable and has high recall bias. This should be avoided in children with knee conditions. LEVEL OF EVIDENCE: III.

Adult retrospective report of child abuse and prospective indicators of childhood harm: a population birth cohort study.

BACKGROUND: We aim to determine whether adult retrospective report of child abuse is associated with greater risk of prospectively assessed harmful environments in childhood. We assessed possible recall basis by adult depression status. METHODS: At 45 years, participants of the 1958 British birth cohort (N = 9308) reported a range of abuse types (by 16 years). Prospective data, ages 7-16 years, were obtained for impoverished upbringing, hazardous conditions, anti-social behaviours and 16 years poor parent-child relationships. We estimated associations between retrospective report of child abuse and prospectively measured harm using (i) odds ratios (ORs, 95% confidence intervals) and (ii) positive predictive values (PPVs). PPVs were calculated stratified by adult depression status. RESULTS: Prevalence of retrospectively reported abuse ranged from 10.7% (psychological) to 1.60% (sexual) and 14.8% reported ≥ 1 type; prospectively recorded harm ranged from 10% (hazardous conditions/poor parent-child relationships) to 20% (anti-social behaviours). Adults retrospectively reporting abuse were more likely to have had harmful childhood environments: 52.4% had ≥ 1 indicator of harm (vs. 35.6% among others); ORsex-adjusted for poor relationships with parents was 2.98 (2.50, 3.54). For retrospectively reported (vs. none) abuse, there was a trend of increasing relative risk ratio with number of harms, from 1.75 (1.50, 2.03) for 1 to 4.68 (3.39, 6.45) for 3/4 childhood harms. The PPV of ≥ 1 prospectively recorded harm did not differ between depressed (0.58 (0.52, 0.64)) and non-depressed (0.58 (0.55, 0.61)) groups. CONCLUSIONS: In a population cohort, adult retrospective report of child abuse was associated with several harms, prospectively measured from childhood to adolescence, providing support for the validity of retrospective report-based research. Findings suggest retrospectively reported child abuse is not biased by depression in adulthood.

Assessing Physicians' Recall Bias of Work Hours With a Mobile App: Interview and App-Recorded Data Comparison.

BACKGROUND: Previous studies have shown inconsistencies in the accuracy of self-reported work hours. However, accurate documentation of work hours is fundamental for the formation of labor policies. Strict work-hour policies decrease medical errors, improve patient safety, and promote physicians' well-being. OBJECTIVE: The aim of this study was to estimate physicians' recall bias of work hours with a mobile app, and to examine the association between the recall bias and physicians' work hours. METHODS: We quantified recall bias by calculating the differences between the app-recorded and self-reported work hours of the previous week and the penultimate week. We recruited 18 physicians to install the "Staff Hours" app, which automatically recorded GPS-defined work hours for 2 months, contributing 1068 person-days. We examined the association between work hours and two recall bias indicators: (1) the difference between self-reported and app-recorded work hours and (2) the percentage of days for which work hours were not precisely recalled during interviews. RESULTS: App-recorded work hours highly correlated with self-reported counterparts (r=0.86-0.88, P<.001). Self-reported work hours were consistently significantly lower than app-recorded hours by -8.97 (SD 8.60) hours and -6.48 (SD 8.29) hours for the previous week and the penultimate week, respectively (both P<.001). The difference for the previous week was significantly correlated with work hours in the previous week (r=-0.410, P=.01), whereas the correlation of the difference with the hours in the penultimate week was not significant (r=-0.119, P=.48). The percentage of hours not recalled (38.6%) was significantly higher for the penultimate week (38.6%) than for the first week (16.0%), and the former was significantly correlated with work hours of the penultimate week (r=0.489, P=.002). CONCLUSIONS: Our study identified the existence of recall bias of work hours, the extent to which the recall was biased, and the influence of work hours on recall bias.

Comparing prospective headache diary and retrospective four-week headache questionnaire over 20 weeks: Secondary data analysis from a randomized controlled trial.

BACKGROUND: Headache diaries and recall questionnaires are frequently used to assess headache frequency and severity in clinical and research settings. METHODS: Using 20 weeks of data from an intervention trial with 182 participants, we evaluated concordance between an electronic headache diary administered on a daily basis and designed to capture the presence and severity of headaches on an hourly basis (the headache diary) and a recall questionnaire, with retrospective estimation of the number of headache days assessed on a monthly basis. We further examined whether the duration or severity of headaches assessed by the electronic diary impacted concordance between these two measures. RESULTS: Over the course of four 28-day periods, people with migraine participating in a dietary intervention reported an average of 13.7 and 11.1 headache days in the headache diary and recall questionnaire, respectively. CONCLUSION: Over time, the concordance between headache days reported in these two measures tended to increase; however, the recall questionnaire headache estimates were lower than the diary measures in all four periods. When analysis was restricted to headaches lasting 8 hours or more, the number of headache days was more closely aligned with days reported in the recall questionnaire, indicating that the accuracy of recall estimates is likely to be influenced by headache duration. Restriction of analyses to moderate-to-severe headaches did not change results as much as headache duration. The findings indicate that recall questionnaires administered on a monthly basis may underestimate headache frequency and therefore should not be used interchangeably with headache diaries.Clinical Trials.gov Identifier: NCT02012790.

Factors influencing specialty choice and the effect of recall bias on findings from Irish medical graduates: a cross-sectional, longitudinal study.

BACKGROUND: Despite being a vital part of medical workforce planning and development, how medical students and graduates choose their career specialty is still not well understood. This study aimed to identify the factors medical graduates consider important influences in their choice of specialty after their first year of practice, and to test the validity of relying on respondent recall to measure changes in specialty choice. METHODS: The baseline survey was administered online to all final year students in Ireland's six medical schools. Those who consented to follow-up (n = 483) were surveyed 18 months later (June 2018), during the final month of first year of practice. RESULTS: The baseline survey had a 67% (n = 483) response rate. At the follow-up survey, (n = 232, 48% response rate) the top specialty choices were: Medicine, n = 54 (26%); Surgery, n = 34 (16%); General Practice, n = 28 (13%); Anaesthesia, n = 16 (8%) and Paediatrics, n = 14 (7%). Of the 49 respondents (28%) reporting a change of specialty since baseline, 13 (27%) selected the same specialty in both surveys; of the 121 (69%) reporting no change, 22 (18%) selected a different specialty at follow-up. Over 90% of respondents rated as 'important or 'very important': 'Own aptitude', 'Work-life balance' and 'What I really want to do'. Over 75% rated as 'not at all', or 'not very important' 'Current financial debt' and 'Inclinations before medical school'. When adjusted for sex and age, compared with Medicine, General Practice rated as more important: continuity of patient care (RRR 3.20 CI(1.59-6.41), p = 0.001); working hours/conditions (RRR 4.61 CI(1.03-20.60), p = 0.045) and a career that fit their domestic circumstances (RRR 3.19 CI(1.27-8.02), p = 0.014). Those choosing Surgery rated as less important: patient contact (RRR 0.56 CI(0.33-0.95), p = 0.033) and working hours/conditions (RRR 0.55 CI(0.31-0.96), p = 0.035). CONCLUSIONS: The different demographic and motivational profiles by specialty choice are consistent with other studies suggesting a distinct profile for doctors intending to enter General Practice. In addition, our results suggest longitudinal study designs guard against recall bias and so provide more robust medical workforce models to inform and direct recruitment drives and interventions in future medical workforce planning.

Characterising the potential for recall bias in anchor-based MCID calculation of patient-reported outcome measures for chronic rhinosinusitis.

OBJECTIVE: Anchor-based methods to calculate the minimal clinically important difference (MCID) of a patient-reported outcome measure (PROM) may suffer from recall bias. This has never been investigated for otolaryngic PROMs. We sought to identify evidence of recall bias in calculation of MCIDs of PROMs for patients with chronic rhinosinusitis (CRS). DESIGN: Retrospective analysis of data from two previous studies calculating the MCID of the 22-item Sinonasal Outcome Test (SNOT-22) and 5-dimensonal EuroQol questionnaire (EQ-5D) in CRS patients. SETTING: Tertiary rhinology clinic. PARTICIPANTS: Adults with CRS. MAIN OUTCOME MEASURES: SNOT-22 score, and EQ-5D visual analog scale scores (EQ-5D VAS) and health utility values (EQ-5D HUV) before and after medical treatment for CRS. After treatment, participants were asked to rate the change in sinonasal symptoms and general health (the anchor question) as "Much worse," "A little worse," "About the same," "A little better" or "Much better." Participants' responses to the anchor question were checked for association with post-treatment and pre-treatment scores using ordinal regression. RESULTS: On univariate association, post-treatment SNOT-22 and EQ-5D scores were associated with respective participants' anchor question responses (P < .001 in all cases). Only pre-treatment SNOT-22 score was associated with anchor question responses (P = .017) on univariate association, in contrast to pre-treatment EQ-5D scores. Pre-treatment EQ-5D scores only associated with anchor question responses when controlling for post-treatment scores. CONCLUSION: The anchor-based MCIDs of the SNOT-22, which reflects disease-specific QOL, and the EQ-5D, which reflects general health-related QOL, appear to be largely free of recall bias.

Agreement between retrospectively assessed health-related quality of life collected 1 week and 12 months post-injury: an observational follow-up study.

BACKGROUND: Retrospective assessment of pre-injury health-related quality of life (HRQL) is frequently used to measure change from pre- to post-injury HRQL. However, retrospective measurement may be confounded by recall bias. It is assumed that presence of recall bias is influenced by several factors, such as the measurement scale or the instrument that is used, the measurement schedule, and the presence of a substantial health event during the follow up period. This study empirically tests these assumptions by comparing pre-injury EQ-5D summary scores, EQ-5D profiles and visual analogue scale (EQ-VAS) scores of trauma patients, as recorded 1 week and 12 months post-injury, respectively. METHODS: A sample of 5371 adult trauma patients who attended the Emergency Department (ED) followed by hospital admission, received postal questionnaires 1 week (T1) and 12 months (T2) post-injury. The questionnaires contained items on pre-injury health, in terms of EQ-5D3L and EQ-VAS. RESULTS: One thousand one hundred sixty-six completed data pairs with T1 and T2 pre-injury data were available. Mean pre-injury EQ-5D summary scores were 0.906 (T1) and 0.905 (T2), respectively, with moderate intertemporal agreement (intraclass correlation coefficient (ICC) T1T2 = 0.595). In absolute terms, 442 (37.9%) respondents reported a different pre-injury EQ-5D profile at T2 compared to T1. The least stable EQ-5D dimension was pain/discomfort (20.2% reported a change). Mean T2 pre-injury EQ-VAS score was significantly higher than mean T1 pre-injury EQ-VAS score (T2 84.6 versus T1 83.3). Multivariable logistic regression analysis indicated that lower educational level, comorbid disease and having PTSD symptoms were independent predictors of change of pre-injury EQ-5D profile. CONCLUSIONS: Despite one third of respondents reported a different pre-injury health level, if asked for on two interview occasions separated by 1 year, on the group level this difference was nil (EQ-5D summary score) to small (EQ-VAS). The consistent symmetrical pattern of change suggests random error to play the largest role. Intertemporal reliability was the same in EQ-5D profiles vs. EQ-VAS scores, ruling out scale effects. Particularly certain trauma subgroups showed highest distortion. While group comparisons may be trusted, in pre-post analysis and repeated measure analysis the individual injury impact and recovery pattern may be wrongly estimated.

Validation of self-reported occupational noise exposure in participants of a French case-control study on acoustic neuroma.

OBJECTIVES: To validate self-reported occupational loud noise exposure against expert evaluation of noise levels in a French case-control study on acoustic neuroma and to estimate the impact of exposure misclassification on risk estimation. METHODS: Noise levels were evaluated in 1006 jobs held by 111 cases and 217 population controls by an expert. Case-control differences in self-reporting were analyzed with logistic models. Sensitivity, specificity, positive and negative predictive values, and observed agreement of the self-reports were computed relative to the expert evaluation. They were used to calibrate the odds ratio (OR) between lifetime ever occupational loud noise exposure and the risk of acoustic neuroma, without adjustment for measurement error of the expert assessments. RESULTS: Cases reported noise levels in individual jobs closer to the expert assessment than controls, but the case-control difference was small for lifetime exposures. For expert-rated exposure of 80 dB(A), reporting of individual jobs by cases was more sensitive (54% in cases, 37% in controls), whereas specificity (91% in cases, 93% in controls) and observed agreement (82% in cases, 81% in controls) were similar. When lifetime exposure was considered, sensitivity increased (76% in cases, 65% in controls), while cases specificity decreased (84%). When these values were used to calibrate self-reports for exposure misclassification compared to expert evaluation at 80 dB(A), the crude OR of 1.7 was reduced to 1.3. CONCLUSIONS: Despite the relatively accurate reporting of loud noise, the impact of the calibration on the OR was non-negligible.

The International Childhood Cancer Cohort Consortium (I4C): A research platform of prospective cohorts for studying the aetiology of childhood cancers.

BACKGROUND: Childhood cancer is a rare but leading cause of morbidity and mortality. Established risk factors, accounting for <10% of incidence, have been identified primarily from case-control studies. However, recall, selection and other potential biases impact interpretations particularly, for modest associations. A consortium of pregnancy and birth cohorts (I4C) was established to utilise prospective, pre-diagnostic exposure assessments and biological samples. METHODS: Eligibility criteria, follow-up methods and identification of paediatric cancer cases are described for cohorts currently participating or planning future participation. Also described are exposure assessments, harmonisation methods, biological samples potentially available for I4C research, the role of the I4C data and biospecimen coordinating centres and statistical approaches used in the pooled analyses. RESULTS: Currently, six cohorts recruited over six decades (1950s-2000s) contribute data on 388 120 mother-child pairs. Nine new cohorts from seven countries are anticipated to contribute data on 627 500 additional projected mother-child pairs within 5 years. Harmonised data currently includes over 20 "core" variables, with notable variability in mother/child characteristics within and across cohorts, reflecting in part, secular changes in pregnancy and birth characteristics over the decades. CONCLUSIONS: The I4C is the first cohort consortium to have published findings on paediatric cancer using harmonised variables across six pregnancy/birth cohorts. Projected increases in sample size, expanding sources of exposure data (eg, linkages to environmental and administrative databases), incorporation of biological measures to clarify exposures and underlying molecular mechanisms and forthcoming joint efforts to complement case-control studies offer the potential for breakthroughs in paediatric cancer aetiologic research.