Do Patients Accurately Recall Pain Levels Following Sacroiliac Joint Steroid Injection? A Cohort Study of Recall Bias in Patient-reported Outcomes

BACKGROUND

Sacroiliac joint (SIJ) injections are crucial in the diagnostic toolkit for evaluating SIJ pathology. Recall bias is an important component in patient-reported outcomes that has not been well studied in SIJ injection.

OBJECTIVE

The purpose of this study was to characterize the accuracy, direction, and magnitude of pain level recall bias following SIJ steroid injection and study the factors that affect patient recollection.

STUDY DESIGN

Prospective cohort study.

SETTING

Level 1 academic medical center.

METHODS

Using standardized questionnaires, baseline Numeric Rating Scale (NRS-11) scores were recorded for patients undergoing SIJ steroid injections at preinjection, at 4 hours postinjection, and at 24 hours postinjection. At a minimum of 2 weeks postinjection, patients were asked to recall their preinjection, 4-hour, and 24-hour postinjection NRS-11 scores. Actual and recalled NRS-11 scores were compared using paired t tests for each time interval. Multivariable linear regression was used to identify factors that correlated with consistent recall.

RESULTS

Sixty patients with a mean age of 66 years (65% women) were included. Compared to their preinjection pain score, patients showed considerable improvement at both 4 hours (mean difference [MD] = 3.28; 95% CI, 2.68 - 3.89), and 24 hours (MD = 3.23; 95% CI, 2.44 - 4.03) postinjection. Patient recollection of preinjection symptoms was more severe than actual (MD = 0.65; 95% CI, 0.31 - 0.99). Patient recollection of symptoms was also more severe than actual at 4 hours (MD = 0.50; 95% CI .04 - 1.04) as well as at 24 hours postinjection (MD = 0.80; 95% CI, 0.16 - 1.44). The magnitude of recall bias was mild and did not exceed the minimal clinically important difference. There was a moderate correlation between actual and recalled pain levels when comparing preinjection with the 4-hour postinjection NRS-11 score (correlation coefficient [r] =0.64; P < 0.001) and moderate correlation when comparing preinjection with the 24-hour postinjection NRS-11 score (r = 0.62; P < 0.001). Linear regression models showed that at preinjection, patients with a lower body mass index and the presence of coexisting psychiatric diagnoses were better at recalling their pain (P < 0.05). Patients with a higher body mass index also experienced less pain relief when comparing preinjection with the 4-hour postinjection NRS-11 score (P < 0.05).

LIMITATIONS

Recall pain scores were obtained via telephone surveys, which can lead to interview bias. One patient died, and 3 were lost to follow-up. We did not control for patient use of adjunctive pain relief modalities, which may modulate the overall response to injection. SIJ injections can also be diagnostic, so some patients may not have shared the same indication for injection or pain-generating diagnosis.

CONCLUSIONS

Patients had favorable pain level responses to their SIJ steroid injection for both actual and recall surveys. Although patients demonstrated poor recall of absolute pain scores at preinjection, 4-hour postinjection, and 24-hour postinjection, they demonstrated robust recall of their net pain score improvement at both 4- and 24-hours postinjection. These findings suggest that there is utility in using patient recollection to describe the magnitude of pain relief following treatment for sacroiliac joint dysfunction.

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.

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.

Time is a great healer: Peak-end memory bias in anxiety - Induced by threat of shock

Recently, we demonstrated that the peak-end memory bias, which is well established in the context of pain, can also be observed in anxiety: Retrospective evaluations of a frightening experience are worse when peak anxiety is experienced at the end of an episode. Here, we set out to conceptually replicate and extend this finding with rigorous experimental control in a threat of shock paradigm. We induced two intensity levels of anxiety by presenting visual cues that indicated different strengths of electric stimuli. Each of the 59 participants went through one of two conditions that only differed in the order of moderate and high threat phases. As a manipulation check, orbicularis-EMG to auditory startle probes, electrodermal activity, and state anxiety confirmed the effects of the specific threat exposure. Critically, after some time had passed, participants for whom exposure had ended with high threat reported more anxiety for the entire episode than those for whom it ended with moderate threat. Moreover, they ranked their experience as more aversive when compared to other unpleasant everyday experiences. This study overcomes several previous limitations and speaks to the generalizability of the peak-end bias. Most notably, the findings bear implications for exposure therapy in clinical anxiety.

Exploring visual pain trajectories in neck pain patients, using clinical course, SMS-based patterns, and patient characteristics: a cohort study

Background

The dynamic nature of neck pain has so far been identified through longitudinal studies with frequent measures, a method which is time-consuming and impractical. Pictures illustrating different courses of pain may be an alternative solution, usable in both clinical work and research, but it is unknown how well they capture the clinical course. The aim of this study was to explore and describe self-reported visual trajectories in terms of details of patients’ prospectively reported clinical course, their SMS-based pattern classification of neck pain, and patient’s characteristics.

Methods

Prospective cohort study including 888 neck pain patients from chiropractic practice, responding to weekly SMS-questions about pain intensity for 1 year from 2015 to 2017. Patients were classified into one of three clinical course patterns using definitions based on previously published descriptors. At 1-year follow-up, patients selected a visual trajectory that best represented their retrospective 1-year course of pain: single episode, episodic, mild ongoing, fluctuating and severe ongoing.

Results

The visual trajectories generally resembled the 1-year clinical course characteristics on group level, but there were large individual variations. Patients selecting Episodic and Mild ongoing visual trajectories were similar on most parameters. The visual trajectories generally resembled more the clinical course of the last quarter.

Discussion

The visual trajectories reflected the descriptors of the clinical course of pain captured by weekly SMS measures on a group level and formed groups of patients that differed on symptoms and characteristics. However, there were large variations in symptoms and characteristics within, as well as overlap between, each visual trajectory. In particular, patients with mild pain seemed predisposed to recall bias. Although the visual trajectories and SMS-based classifications appear related, visual trajectories likely capture more elements of the pain experience than just the course of pain. Therefore, they cannot be seen as a proxy for SMS-tracking of pain over 1 year.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12998-022-00443-3.

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.

Daily angina documentation versus subsequent recall: development of a symptom smartphone app

Aims

The traditional approach to documenting angina outcomes in clinical trials is to ask the patient to recall their symptoms at the end of a month. With the ubiquitous availability of smartphones and tablets, daily contemporaneous documentation might be possible.

Methods and results

The ORBITA-2 symptom smartphone app was developed with a user-centred iterative design and testing cycle involving a focus group of previous ORBITA participants. The feasibility and acceptability were assessed in an internal pilot of participants in the ongoing ORBITA-2 trial. Seven days of app entries by ORBITA-2 participants were compared with subsequent participant recall at the end of the 7-day period. The design focus group tested a prototype app. They reported that the final version captured their symptoms and was easy to use. In the completion assessment group, 141 of 142 (99%) completed the app in full and 47 of 141 (33%) without reminders. In the recall assessment group, 29 of 29 (100%) participants said they could recall the previous day's symptoms, and 82% of them recalled correctly. For 2 days previously, 88% said they could recall and of those, 87% recalled correctly. The proportion saying they could recall their symptoms fell progressively thereafter: 89, 67, 61, 50%, and at 7 days, 55% (P < 0.001 for trend). The proportion of recalling correctly also fell progressively to 55% at 7 days (P = 0.04 for trend).

Conclusion

Episode counts of angina are difficult to recall after a few days. For trials such as ORBITA-2 focusing on angina, daily symptom collection via a smartphone app will increase the validity of the results.

Addressing recall bias in (post-)conflict data collection and analysis: lessons from a large-scale health survey in Colombia

Background

Much applied research on the consequences of conflicts for health suffers from data limitations, particularly the absence of longitudinal data spanning pre-, during- and post-conflict periods for affected individuals. Such limitations often hinder reliable measurement of the causal effects of conflict and their pathways, hampering also the design of effective post-conflict health policies. Researchers have sought to overcome these data limitations by conducting ex-post surveys, asking participants to recall their health and living standards before (or during) conflict. These questions may introduce important analytical biases due to recall error and misreporting.

Methods

We investigate how to implement ex-post health surveys that collect recall data, for conflict-affected populations, which is reliable for empirical analysis via standard quantitative methods. We propose two complementary strategies based on methods developed in the psychology and psychometric literatures—the Flashbulb and test-retest approaches—to identify and address recall bias in ex-post health survey data. We apply these strategies to the case study of a large-scale health survey which we implemented in Colombia in the post-peace agreement period, but that included recall questions referring to the conflict period.

Results

We demonstrate how adapted versions of the Flashbulb and test-retest strategies can be used to test for recall bias in (post-)conflict survey responses. We also show how these test strategies can be incorporated into post-conflict health surveys in their design phase, accompanied by further ex-ante mitigation strategies for recall bias, to increase the reliability of survey data analysis—including by identifying the survey modules, and sub-populations, for which empirical analysis is likely to yield more reliable causal inference about the health consequences of conflict.

Conclusions

Our study makes a novel contribution to the field of applied health research in humanitarian settings, by providing practical methodological guidance for the implementation of data collection efforts in humanitarian contexts where recall information, collected from primary surveys, is required to allow assessments of changes in health and wellbeing. Key lessons include the importance of embedding appropriate strategies to test and address recall bias into the design of any relevant data collection tools in post-conflict or humanitarian contexts.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13031-022-00446-0.

Validity of maternal recall for estimating childhood vaccination coverage - Evidence from Nigeria

BACKGROUND

Vaccination coverage surveys in low- and middle-income countries typically estimate vaccination coverage using data from vaccination cards, parental recall, or a combination of the two. However, these surveys are often complicated by the pervasive absence of vaccination cards, forcing researchers to rely on parental recall. We assessed the validity of mothers' recall against home-based vaccination cards using data from a community-based household survey in Nigeria.

METHODS

A cross-sectional survey of 1,254 mothers of children aged 12-23 months was performed in Enugu State, Nigeria in July 2020. Data on vaccination status for BCG, OPV, DPT, Measles, Yellow fever, and Vitamin A supplement were collected using two data sources: home-based vaccination cards and mothers' recall. We evaluated the level of agreement between the two data sources; estimated the sensitivity and specificity of mothers' recalls; and computed multivariable regression models to identify socio-demographic factors associated with mothers' recall bias.

RESULTS

Out of 1,254 mothers interviewed, 578 (46.1%) mothers with vaccination cards were included in this analysis. Vaccination coverage levels were generally similar across data sources, though recall-based data generally underestimated the coverage. The level of agreement between the two data sources was high (≥91.0% for all vaccine types) with recall bias due to under-reporting generally higher than recall bias due to over-reporting. The sensitivity of parental recalls was high for all vaccine types, while the specificity was low across vaccine types. Across all vaccines, mothers recall bias was significantly associated with the rural residence and not receiving postnatal care.

CONCLUSION

In the absence of vaccination cards, mothers' recall of their children' vaccination status for BCG, OPV, DPT, Measles, Yellow fever and Vitamin A is a valid instrument for estimating childhood vaccination coverage in this setting in Nigeria. However, additional research is needed to confirm these findings at higher sub-national and national levels.

DIP: Natural history model for major depression with incidence and prevalence

BACKGROUND

Major depression is a treatable disease, and untreated depression can lead to serious health complications. Therefore, prevention, early identification, and treatment efforts are essential. Natural history models can be utilized to make informed decisions about interventions and treatments of major depression.

METHODS

We propose a natural history model of major depression. We use steady-state analysis to study the discrete-time Markov chain model. For this purpose, we solved the system of linear equations and tested the parameter and transition probabilities empirically.

RESULTS

We showed that bias in parameters might collectively cause a significant mismatch in a model. If incidence is correct, then lifetime prevalence is 33.2% for females and 20.5% for males, which is higher than reported values. If prevalence is correct, then incidence is .0008 for females and .00065 for males, which is lower than reported values. The model can achieve feasibility if incidence is at low levels and recall bias of the lifetime prevalence is quantified to be 31.9% for females and 16.3% for males.

LIMITATIONS

This model is limited to major depression, and patients who have other types of depression are assumed healthy. We assume that transition probabilities (except incidence rates) are correct.

CONCLUSION

We constructed a preliminary model for the natural history of major depression. We determined the lifetime prevalences are underestimated and the average incidence rates may be underestimated for males. We conclude that recall bias needs to be accounted for in modeling or burden estimates, where the recall bias should increase with age.

Do Patients Accurately Recall Their Pain Levels Following Epidural Steroid Injection? A Cohort Study of Recall Bias in Patient-Reported Outcomes

BACKGROUND

Although patient-reported outcomes (PROs) have become important in the evaluation of spine surgery patients, the accuracy of patient recall of pre- or post-intervention  symptoms following epidural steroid injection remains unknown.

OBJECTIVES

The purpose of this study was to: 1) characterize the accuracy of patient recollection of back/leg pain following epidural steroid injection; 2) characterize the direction and magnitude of recall bias; and 3) characterize factors that impact patient recollection.

STUDY DESIGN

A prospective cohort study.

SETTING

Level 1 Academic Medical Center.

METHODS

Using standardized questionnaires, we recorded numeric pain scores for patients undergoing lumbar epidural steroid injections at our institution. Baseline pain scores were obtained prior to injection, 4-hours and 24-hours postinjection. At a minimum of 2 weeks following the injection, patients were asked to recall their symptoms preinjection and at 4 hours and 24-hours postinjection. Actual and recalled scores, at each time point, were compared using paired t tests. Multivariable linear regression was used to identify factors that impacted recollection.

RESULTS

Sixty-one patients with a mean age of 61.4 years (56% women) were included. Compared to their preinjection pain score, patients showed considerable improvement at both 4 hours (Mean Difference [MD] = 2.18, 95% Confidence Interval [CI] 1.42 to 2.94) and 24 hours (MD = 2.64, 95% CI 1.91 to 3.34) postinjection. Patient recollection of preinjection symptoms was significantly more severe than actual at the 2-week time point (MD = 1.39, 95% CI 4.82 to 6.08). The magnitude of recall bias was mild and exceeded the minimal clinically important difference (MCID). No significant recall bias was noted on patient recollection of postinjection symptoms at 4 hours (MD = 0.41, 95% CI -1.05 to 0.23). Patient recollection of symptoms was also significantly more severe than actual at 24 hours (MD = 0.63, 95% CI -1.17 to -0.07), mild magnitude of bias that did not exceed MCID. Linear regression models for differences between actual and recalled pain scores reveal that for recall at 4 hours postinjection, older patients were better at recalling pain.

LIMITATIONS

Baseline pain scores were completed in person, in front of a provider. The short-term pain scores were completed while at home, and then recalled scores were obtained by phone call encounter. Telephone surveys can lead to interview bias. All patients received incentive for completion of study. It is unclear if patient incentives have any impact on patient recall. Patients were contacted 2 weeks postinjection; this time point is standard at our institution, but could vary depending on practice location. Lastly, the enrolled patients did not all share the same indication for injection, and pain was not stratified between back and leg pain.

CONCLUSIONS

Relying on patient recollection does not provide an accurate measure of preinjection status after lumbar epidural steroid injection, although patients did recall their 4-hour postinjection status. These findings support previous studies indicating that relying on patient recollection does not provide an accurate measure of preintervention symptoms. Patient recollection of postintervention symptoms, however, may have some clinical utility and requires further study.

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); OR_sex-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.

Recall bias during adolescence: Gender differences and associations with depressive symptoms

BACKGROUND

There is a sharp increase in depression in females in mid-adolescence, but we do not understand why. Cognitive theories suggest that people with depression have negative biases in recalling self-referential information. We tested whether recall biases were more negative in girls in early and mid-adolescence and were associated with depressive symptoms.

METHODS

315 young and 263 mid-adolescents (11-12 and 13-15 years) completed a surprise test, assessing recall of social evaluation about the self (self-referential) or another person (other-referential). The short Mood and Feelings Questionnaire measured depressive symptoms. We tested the effects of condition (self-referential/other-referential), valence (positive/negative), gender, and age group on correct recall (hits) and associations with depressive symptoms.

RESULTS

There was no evidence for gender or age differences in positive or negative self-referential recall. Self-referential positive hits were negatively associated with depressive symptoms (adjusted coefficient=-0.38, 95% CI=-0.69-0.08, p=0.01). Self-referential negative hits were positively associated with depressive symptoms (adjusted coefficient=0.45, 95% CI=0.15-0.75, p=0.003), and this association was stronger in females (adjusted interaction p=0.04).

LIMITATIONS

The reliability and validity of the recall task are unknown. We cannot provide evidence of a causal effect of recall on depressive symptoms in this cross-sectional study.

CONCLUSIONS

Adolescents who recalled more self-referential negative and fewer self-referential positive words had more severe depressive symptoms. Females did not demonstrate more recall biases, but the association between self-referential negative hits and depressive symptoms was stronger in females. Negative self-referential recall may be a risk factor for depressive symptoms and is a good candidate for longitudinal studies.

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.

Sleep health early in the coronavirus disease 2019 (COVID-19) outbreak in the United States: integrating longitudinal, cross-sectional, and retrospective recall data

BACKGROUND

The outbreak of coronavirus disease 2019 (COVID-19) caused substantial changes in lifestyle, responsibilities, and stressors. Such dramatic societal changes might cause overall sleep health to decrease (stress view), to remain unchanged (resilience view), or even to improve (reduced work/schedule burden view).

METHODS

We addressed this question using longitudinal, cross-sectional, and retrospective recall methodologies in 699 American adult participants in late March 2020, two weeks following the enactment of social distancing and shelter-in-place policies in the United States.

RESULTS

Relative to baseline data from mid February 2020, cross-sectional and longitudinal analyses demonstrated that average sleep quality was unchanged, or even improved, early in the pandemic. However, there were clear individual differences: approximately 25% of participants reported that their sleep quality had worsened, which was explained by stress vulnerability, caregiving, adverse life impact, shift work, and presence of COVID-19 symptoms.

CONCLUSIONS

Therefore, the COVID-19 pandemic has detrimentally impacted some individuals' sleep health while paradoxically benefited other individuals' sleep health by reducing rigid work/school schedules such as early morning commitments.

POINT/COUNTER-POINT-Links between traumatic brain injury and dementia remain poorly defined

There has been considerable public interest in the topic of traumatic brain injury (TBI) as a risk factor for development of late-life dementia. A review was performed on empirical studies examining the relationship between these two conditions. Although results from a number of studies clearly demonstrate that TBI is a positive risk factor for developing dementia, there are an equivalent number of studies that obtain inconclusive or negative findings. Inconsistencies across studies are often the result of methodological findings including the nature of the investigational design, choice of comparison groups, and criteria used to define cases. In many studies, the diagnosis of TBI is obtained retrospectively in a manner that is subject to bias. Accurate identification of dementia cases is often compromised by the use of inappropriately brief follow-up periods and variations in diagnostic methods. There remains no universally accepted neurobiological mechanism to explain the transition from acute TBI to the chronic effects of dementia. Studies of specialty populations, including athletes and military personnel are beset by secular and cohort effects, raising questions about the applicability of findings to the general population. No existing studies have been able to exclude the possible effects of confounding medical or lifestyle factors in facilitating the onset of dementia following TBI. Although the research findings suggest a general association between TBI and dementia, the specifics of the relationship remain poorly defined.

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.

An investigation of methods to improve recall for the patient-reported outcome measurement in COPD patients: a pilot randomised control trial and feasibility study protocol

Background

Patient-reported outcomes (PRO) are used to measure the effectiveness of interventions for management of chronic conditions such as chronic obstructive pulmonary disease. Many of these instruments require respondents to describe the change in their health status from baseline to a follow-up assessment and poor recall of previous health status often limits the usefulness and validity of these PRO measures. The use of technology has recently increased in PRO measurement. This study aims to mitigate the problems of poor recall by evaluating different strategies as a way to improve the validity of recall of health status among adults with COPD.

Methods

A pilot randomised controlled trial of three strategies to improve patient recall will be tested in an acute care clinical environment. The first strategy is the use of tablet computer technology’s audio-visual facility, the second strategy is the provision of base line PRO responses prior to patients completing their follow-up questionnaires and third is standard practice of completing a questionnaire independently of previous responses. The feasibility of conducting this study in a busy clinical environment will be ascertained using the NIHR criteria for assessing feasibility.

Discussion

There is variability in a person’s ability to recall past events. With studies utilising patient-reported outcome measurement, it has become critically important to develop strategies and ways of supporting the patient to be more accurate recalling their health status. The adaptation of various technological features within mobile devices may provide an opportunity in clinical research studies to improve patient recall of their health status.

Trial registration

ANZCTR12618001605280.

Electronic supplementary material

The online version of this article (10.1186/s40814-019-0475-9) contains supplementary material, which is available to authorized users.

Foodborne Outbreak Investigation: Effect of Recall Inaccuracies on Food Histories

HIGHLIGHTS

Comparably low accuracy of dietary recall is present after 7 and 18 days. Experiencing gastrointestinal symptoms did not affect accuracy of dietary recall. Repeatedly recalling food exposures leads to a higher rate of false positives. Prevalence of exposure was associated with higher sensitivity and lower specificity. Recall inaccuracies can be quantified and accounted for in public health practice.

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.

Retrospectively reported childhood adversity is associated with asthma and chronic bronchitis, independent of mental health

Several researchers have raised the concern that the cross-sectional association of retrospectively reported childhood adversity with self-reported onset of asthma and chronic bronchitis in adulthood may be confounded, as well as mediated by an individual's mental health. The aim of this study was to assess the effect of retrospectively reported childhood adversity on self-reported onset of asthma and chronic bronchitis in adulthood, independent of potential confounding and mediating variables (including respondent's mental health). We used data collected in 2007-2008 within the framework of the Tromsø Study (N = 12,981), a representative study of adult men and women in Norway. The associations of childhood adversity with asthma and chronic bronchitis were assessed with Poisson regression models. Relative risks (RR) and 95% confidence intervals (CI) were estimated with bias-corrected bootstrapping. Childhood adversity was associated with a 9% increased risk of asthma (RR = 1.09, 95% CI: 1.02, 1.16) and a 14% increased risk chronic bronchitis (RR = 1.14, 95% CI: 1.03, 1.26) in adulthood, independent of age, sex, parental history of psychiatric problems/asthma/dementia, education, smoking, social support, and respondent's mental health. Controlling for indicators of respondent's mental health reduced the strength of associations of childhood adversity with asthma and chronic bronchitis; however, the associations were still present in the same direction (p < .05). These findings suggest that the association of retrospectively reported childhood adversity with asthma and chronic bronchitis is independent of respondent's mental health. We recommend controlling for indicators of the respondent's mental health to assess an unbiased association of retrospectively measured childhood adversity with self-reported asthma and chronic bronchitis.

Coloring of the past via respondent's current psychological state, mediation, and the association between childhood disadvantage and morbidity in adulthood

OBJECTIVE

Many researchers view retrospective reports with skepticism. Indeed, the observed association between retrospectively-reported childhood disadvantage (CD) and morbidity in adulthood has been criticized as an artefactual correlation driven by the psychological state of the respondent at the time of reporting (current psychological state). The aim of this study was to assess the role of current psychological state in the association between childhood disadvantage and morbidity in adulthood.

METHODS

The present analysis used cross-sectional data collected in 2007-2008 within the framework of the Tromsø Study (N = 10,765), a representative study of adult men and women in Norway. The association between CD and the physical health outcomes heart attack, angina pectoris, chronic bronchitis/emphysema/COPD, diabetes mellitus, hypothyroid/low metabolism, migraine, hypertension, and comorbidity (i.e., the sum of these physical health outcomes) was assessed with Poisson regression models. Relative risks (RR) and 95% confidence intervals (CI) were estimated. A wide range of indicators of respondents' current psychological state were included in the models to assess the % attenuation in estimates.

RESULTS

CD was associated with an increased risk of heart attack, angina pectoris, chronic bronchitis/emphysema/COPD, diabetes mellitus, hypothyroid/low metabolism, migraine, hypertension, and comorbidity (p < 0.05), independent of respondents' current psychological state. A sizeable proportion (23-42%) of the association between CD and physical health outcomes was driven by recall bias or mediation via respondents' current psychological state. Controlling for indicators of current psychological state reduced the strength of associations between CD and physical health outcomes; however, the independent associations remained in the same direction.

CONCLUSION

The association between retrospectively-reported CD and physical health outcomes in adulthood is not driven entirely by respondent's current psychological state.

Validity of parental recalls to estimate vaccination coverage: evidence from Tanzania

Background

The estimates of vaccination coverage are measured from administrative data and from population based survey. While both card-based and recall data are collected through population survey, and the recall is when the card is missing, the preferred estimates remain of the card-based due to limited validity of parental recalls. As there is a concern of missing cards in poor settings, the evidence on validity of parental recalls is limited and varied across vaccine types, and therefore timely and needed. We validated the recalls against card-based data based on population survey in Tanzania.

Methods

We used a cross-sectional survey of about 3000 households with women who delivered in the last 12 months prior to the interview in 2012 from three regions in Tanzania. Data on the vaccination status on four vaccine types were collected using two data sources, card and recall-based. We compared the level of agreement and identified the recall bias between the two data sources. We further computed the sensitivity and specificity of parental recalls, and used a multivariate logit model to identify the determinants of parental recall bias.

Results

Most parents (85.4%) were able to present the vaccination cards during the survey, and these were used for analysis. Although the coverage levels were generally similar across data sources, the recall-based data slightly overestimated the coverage estimates. The level of agreement between the two data sources was high above 94%, with minimal recall bias of less than 6%. The recall bias due to over-reporting were slightly higher than that due to under-reporting. The sensitivity of parental recalls was generally high for all vaccine types, while the specificity was generally low across vaccine types except for measles. The minimal recall bias for DPT and measles were associated with the mother’s age, education level, health insurance status, region location and child age.

Conclusion

Parental recalls when compared to card-based data are hugely accurate with minimal recall bias in Tanzania. Our findings support the use of parental recall collected through surveys to identify the child vaccination status in the absence of vaccination cards. The use of recall data alongside card-based estimates also ensures more representative coverage estimates.

Can We Assess the Success of Surgery for Degenerative Spinal Diseases Using Patients' Recall of Their Preoperative Status?

BACKGROUND

Patients' recall of their preoperative status is seldom used to assess surgical outcomes because of concerns about inaccuracy and bias. The present study aimed to measure the significance of this recall bias and its repercussion on patients' recollection of their preoperative status.

METHODS

Patients submitted to surgery due to degenerative spine diseases over a 1-year period (n = 198) were included in this study. Each patient completed the EuroQol Five-Dimensional Questionnaire (including a visual analog scale), Core Outcome Measures Index (COMI) for neck (including neck pain and shoulder/arm pain numeric rating scale [NRS]), COMI back (including back pain and buttock/leg pain NRS), Neck Disability Index, and Oswestry Disability Index preoperatively. At 1 year after surgery, the patients were asked to complete 2 sets of the same questionnaires, one set regarding their postoperative status and the other set regarding their recall of their preoperative status.

RESULTS

There was poor to moderate agreement between recalled and collected preoperative scores for all patient-reported outcome measures. Patients' recollection of their preoperative status was accurate for patients who underwent cervical spine surgery, but not for those who underwent lumbar spine surgery. Patients satisfied with the outcome after lumbar spine surgery recalled significantly worse scores compared with the actual preoperative scores.

CONCLUSIONS

Using patients' recall of their preoperative status may lead to overestimation of the effectiveness of surgery, particularly for lumbar spine surgery. The self-assessed effectiveness of surgery interferes with the recollection of baseline status.

Measuring childhood maltreatment to predict early-adult psychopathology: Comparison of prospective informant-reports and retrospective self-reports

Both prospective informant-reports and retrospective self-reports may be used to measure childhood maltreatment, though both methods entail potential limitations such as underestimation and memory biases. The validity and utility of standard measures of childhood maltreatment requires clarification in order to inform the design of future studies investigating the mental health consequences of maltreatment. The present study assessed agreement between prospective informant-reports and retrospective self-reports of childhood maltreatment, as well as the comparative utility of both reports for predicting a range of psychiatric problems at age 18. Data were obtained from the Environmental Risk (E-Risk) Longitudinal Twin Study, a nationally-representative birth cohort of 2232 children followed to 18 years of age (with 93% retention). Childhood maltreatment was assessed in two ways: (i) prospective informant-reports from caregivers, researchers, and clinicians when children were aged 5, 7, 10 and 12; and (ii) retrospective self-reports of maltreatment experiences occurring up to age 12, obtained at age 18 using the Childhood Trauma Questionnaire. Participants were privately interviewed at age 18 concerning several psychiatric problems including depression, anxiety, self-injury, alcohol/cannabis dependence, and conduct disorder. There was only slight to fair agreement between prospective and retrospective reports of childhood maltreatment (all Kappa's ≤ 0.31). Both prospective and retrospective reports of maltreatment were associated with age-18 psychiatric problems, though the strongest associations were found when maltreatment was retrospectively self-reported. These findings indicate that prospective and retrospective reports of childhood maltreatment capture largely non-overlapping groups of individuals. Young adults who recall being maltreated have a particularly elevated risk for psychopathology.

Childhood adversities and chronic conditions: examination of mediators, recall bias and age at diagnosis

OBJECTIVES

The aim of this study was to (1) identify the influence of childhood socioeconomic status (CSES) on five chronic conditions: asthma, bronchitis, hypothyroid, migraine, and psychiatric disorders in later life; (2) determine the mediating role of childhood abuse (CA) in these associations, and (3) quantify recall bias due to respondent's mental health in these associations.

METHODS

10,325 men and women from the Tromsø Study were followed for 13 years, and Poisson regression models were used.

RESULTS

Low CSES was associated with a 16-23% higher risk of chronic conditions, and CA was associated with a 16-58% higher risk of chronic conditions (p < 0.05). A minor proportion of the association between CSES and CA (3.98%, p < 0.05); CSES and chronic conditions (5.54-8.71%, p < 0.05); and CA and chronic conditions (9.51-19.52%, p < 0.05), were driven by recall bias due to the respondent's mental health. CA mediated the association between CSES and chronic conditions (9.58-25.06%, p < 0.05).

CONCLUSIONS

Low CSES and CA are associated with higher risk of chronic conditions in later life. A minor proportion of these associations are driven by recall bias.

Retrospectively patient-reported pre-event health status showed strong association and agreement with contemporaneous reports

OBJECTIVE

The unpredictability of the occurrence of illnesses and injuries leading to most emergency admissions to hospital makes it impossible prospectively to collect preadmission patient-reported outcome measures (PROMs). Our aims were to review the evidence for using retrospective PROMs to determine pre-event health status and the validity of using general population norms instead of retrospective PROMs.

STUDY DESIGN AND SETTING

Searches of Medline, PsycINFO, Embase, Global Health, and Health Management information. Six studies met the inclusion criteria for the first aim, and 11 studies addressed the second aim. Narrative syntheses were conducted.

RESULTS

Strong associations were found between retrospective and contemporary PROMs in 21 of 30 comparisons (correlation coefficients over 0.68) and 20 of 24 showed strong agreement for continuous measures (intraclass correlations over 0.75). Categorical measures revealed only fair to moderate levels of agreement (kappa 0.3-0.6). Associations were stronger for indices than for individual items and for shorter time intervals. The direction of differences was inconsistent. Retrospective PROMs reported by elderly patients were similar to the general population but younger adults had been healthier.

CONCLUSION

Retrospective collection offers a means of assessing PROMs in unexpected emergency admissions. However, further research is needed to establish the best policy for their use.

Admixture analysis of age at onset in first episode bipolar disorder

BACKGROUND

Many studies have used the admixture analysis to separate age-at-onset (AAO) subgroups in bipolar disorder, but none of them examined first episode patients.

OBJECTIVE

The purpose of this study was to investigate the influence of clinical variables on AAO in first episode bipolar patients.

METHODS

The admixture analysis was applied to identify the model best fitting the observed AAO distribution of a sample of 194 patients with DSM-IV diagnosis of bipolar disorder and the finite mixture model was applied to assess the effect of clinical covariates on AAO.

RESULTS

Using the BIC method, the model that was best fitting the observed distribution of AAO was a mixture of three normal distributions. We identified three AAO groups: early age-at-onset (EAO) (µ=18.0, σ=2.88), intermediate-age-at-onset (IAO) (µ=28.7, σ=3.5), and late-age-at-onset (LAO) (µ=47.3, σ=7.8), comprising 69%, 22%, and 9% of the sample respectively. Our first episode sample distribution model was significantly different from most of the other studies that applied the mixture analysis.

LIMITATIONS

The main limitation is that our sample may have inadequate statistical power to detect the clinical associations with the AAO subgroups.

CONCLUSIONS

This study confirms that bipolar disorder can be classified into three groups based on AAO distribution. The data reported in our paper provide more insight into the diagnostic heterogeneity of bipolar disorder across the three AAO subgroups.

Estimating Population Size Using the Network Scale Up Method

We develop methods for estimating the size of hard-to-reach populations from data collected using network-based questions on standard surveys. Such data arise by asking respondents how many people they know in a specific group (e.g. people named Michael, intravenous drug users). The Network Scale up Method (NSUM) is a tool for producing population size estimates using these indirect measures of respondents' networks. Killworth et al. (1998a,b) proposed maximum likelihood estimators of population size for a fixed effects model in which respondents' degrees or personal network sizes are treated as fixed. We extend this by treating personal network sizes as random effects, yielding principled statements of uncertainty. This allows us to generalize the model to account for variation in people's propensity to know people in particular subgroups (barrier effects), such as their tendency to know people like themselves, as well as their lack of awareness of or reluctance to acknowledge their contacts' group memberships (transmission bias). NSUM estimates also suffer from recall bias, in which respondents tend to underestimate the number of members of larger groups that they know, and conversely for smaller groups. We propose a data-driven adjustment method to deal with this. Our methods perform well in simulation studies, generating improved estimates and calibrated uncertainty intervals, as well as in back estimates of real sample data. We apply them to data from a study of HIV/AIDS prevalence in Curitiba, Brazil. Our results show that when transmission bias is present, external information about its likely extent can greatly improve the estimates. The methods are implemented in the NSUM R package.

Patients' ratings of global perceived change during 2 years were strongly influenced by the current health status

OBJECTIVES

To investigate the longitudinal validity of patients' ratings of global perceived change (GPC) and to assess the implications of using the GPC as the anchor to determine the minimal important change (MIC).

STUDY DESIGN AND SETTING

Secondary analysis of data from a multicenter study including 380 patients with disc-related sciatica with follow-ups at 3, 6, 12, and 24 months. The GPC scale ranged from much worse to completely gone. Five patient-reported outcome measures were used. An MIC was defined as the mean change score in the actual outcome measure for patients reporting being better. The influence of patients' current state and baseline scores on the GPC was analyzed by multivariate linear regression. Differences in the magnitude of the MIC between the 3- and 24-month recall periods were analyzed by hierarchical linear models.

RESULTS

Across all recall periods and outcome measures, the GPC was strongly influenced by the patient's state at the time of asking. In four of five outcome measures, the magnitude of the MIC increased when recall increased from 3 to 24 months.

CONCLUSION

Caution is needed when using the GPC to determine the MIC of patient-reported outcome measures in patients with chronic conditions.

Admixture analysis of age at onset in schizophrenia: evidence of three subgroups in a first-episode sample

OBJECTIVE

The objective was to assess the presence of different subgroups, via age-at-onset (AAO) analysis, in a schizophrenia population consecutively recruited through an Early Psychosis Service in London, Canada.

METHOD

Admixture analysis was applied in order to identify a model of separate normal distribution of AAO characterized by different means, variances and population proportions to allow for evaluation of different subgroups in a sample of 187 unrelated patients with a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, diagnosis of schizophrenia.

RESULTS

The best-fitting model suggested three subgroups with means and standard deviations of 16.8 ± 1.9, 22.3 ± 2.1 and 32.7 ± 5.9 years comprising 41%, 30% and 29% of the schizophrenia sample, respectively. These three subgroups were categorized as early, intermediate and late onset with cutoffs determined by admixture analysis to be 19 and 26 years of age, respectively. In our investigation, the definition of early-onset schizophrenia is the main outcome. We considered the clinical variables mainly related to the heritability and neurobiology of schizophrenia. Single status was strongly associated with early onset (P<.001). The male gender (P=.023), as well as a history of drug abuse (P=.004), was significantly associated with early onset. Interestingly, lower academic achievement was also associated with early-onset schizophrenia (P<.001).

CONCLUSION

Overall, our study showed that a typical early-onset schizophrenia patient is more likely to be a single male, with a history of drug abuse and birth complications, and lower academic achievement as compared to the late-onset subgroup.

Temporal trends in symptom experience predict the accuracy of recall PROs

OBJECTIVE

Patient-reported outcome measures with reporting periods of a week or more are often used to evaluate the change of symptoms over time, but the accuracy of recall in the context of change is not well understood. This study examined whether temporal trends in symptoms that occur during the reporting period impact the accuracy of 7-day recall reports.

METHODS

Women with premenstrual symptoms (n=95) completed daily reports of anger, depression, fatigue, and pain intensity for 4weeks, as well as 7-day recall reports at the end of each week. Latent class growth analysis was used to categorize recall periods based on the direction and rate of change in the daily reports. Agreement (level differences and correlations) between 7-day recall and aggregated daily scores was compared for recall periods with different temporal trends.

RESULTS

Recall periods with positive, negative, and flat temporal trends were identified and they varied in accordance with weeks of the menstrual cycle. Replicating previous research, 7-day recall scores were consistently higher than aggregated daily scores, but this level difference was more pronounced for recall periods involving positive and negative trends compared with flat trends. Moreover, correlations between 7-day recall and aggregated daily scores were lower in the presence of positive and negative trends compared with flat trends. These findings were largely consistent for anger, depression, fatigue, and pain intensity.

CONCLUSION

Temporal trends in symptoms can influence the accuracy of recall reports and this should be considered in research designs involving change.