Temporal trends in symptom experience predict the accuracy of recall PROs

Prevalence of hormone-related mood disorder symptoms in women with ADHD

This is the first study to assess the prevalence of symptoms of premenstrual dysphoric disorder (PMDD), episodes of postpartum depression symptoms (PPD) after first childbirth, and climacteric mood symptoms in Attention-Deficit/Hyperactivity Disorder (ADHD). 209 consecutive women (18-71 years) with ADHD completed the PMDD chapter of the Neuropsychiatric Interview Plus version 5.0.0 to assess PMDD, the Edinburgh Postnatal Depression Scale to assess PPD, and the Greene Climacteric Scale to assess climacteric symptoms. Comorbid psychiatric disorders, medication use, and chronobiological sleep characteristics were also assessed. The prevalence of PMDD and PPD were high in ADHD, compared to the general population. PMDD symptoms were associated with less use of contraceptives. Antidepressants were associated with more PMDD symptoms. The following GCS scores were significant increased: anxiety, depression, and sexual dysfunction, vasomotor and somatic complaints. No significant differences were found in sleep characteristics or current comorbidity between the groups with and without PPD or PMDD, or increased climacteric scores. The prevalences of PMDD, PPD and climacteric scores were high in women with ADHD. This is the first study in women with ADHD that suggests that female ADHD patients suffer from significant PMDD symptoms, experience PPD during the first child birth, and experience more severe climacteric symptoms.

Symptom cluster profiles following traumatic orthopedic injuries: A protocol

Traumatic injuries affect millions of Americans annually, resulting in $671 billion in healthcare costs and lost productivity. Postinjury symptoms, like pain, sleep disturbance, anxiety, depression, and stressor-related disorders are highly prevalent following traumatic orthopedic injuries (TOI) and may contribute to negative long-term outcomes. Symptoms rarely present in isolation, but in clusters of two or more symptoms that co-occur to affect health in aggregate. Identifying symptom cluster profiles following TOI may identify those at highest risk for negative outcomes. Dysregulation of brain-derived neurotrophic factor (BDNF) is a potential biological mechanism responsible for symptom cluster profile membership after TOI and may be targeted in future precision-health applications. The purpose of this paper is to present the protocol of a cross-sectional study designed to identify symptom cluster profiles and measure the extent to which the BDNF val66met mutation and serum concentration of BDNF are associated with membership in symptom cluster profiles. We plan to recruit 150 TOI survivors within the first 72 h of injury. The study aims are to (1) describe TOI survivors' membership in symptom cluster profiles, indicated by pain, sleep disturbance, and symptoms of anxiety, depression, and stressor-related disorders, immediately following a TOI; (2) examine associations between demographic and clinical factors and symptom cluster profile membership among TOI survivors; (3) test the hypothesis that low serum concentrations of BDNF are associated with membership among symptom cluster profiles following TOI; and (4) test the hypothesis that the presence of the val66met mutation on one or both alleles of the BDNF gene is associated with membership among symptom cluster profiles following TOI.

Patient demographic and psychosocial characteristics associated with 30-day recall of self-reported lower urinary tract symptoms

AIMS

Measurement of self-reported lower urinary tract symptoms (LUTS) typically uses a recall period, for example, "In the past 30 days…." Compared to averaged daily reports, 30-day recall is generally unbiased, but recall bias varies by item. We examined the associations between personal characteristics (eg, age, symptom bother) and 30-day recall of LUTS using items from the Symptoms of Lower Urinary Tract Dysfunction Research Network Comprehensive Assessment of Self-reported Urinary Symptoms questionnaire.

METHODS

Participants (127 women and 127 men) were recruited from 6 US tertiary care sites. They completed daily assessments for 30 days and a 30-day recall assessment at the end of the study month. For each of the 18 tested items, representing 10 LUTS, the average of the participant's daily responses was modeled as a function of their 30-day recall, the personal characteristic, and the interaction between the 30-day recall and the characteristic in separate general linear regression models, adjusted for sex.

RESULTS

Nine items representing 7 LUTS exhibited under- or overreporting (recall bias) for at least 25% of participants. Bias was associated with personal characteristics for six LUTS. Underreporting of incontinence was associated with older age, lower anxiety, and negative affect; overreporting of other LUTS was associated with, symptom bother, symptom variability, anxiety, and depression.

CONCLUSIONS

We identified under- or overreporting that was associated with personal characteristics for six common LUTS. Some cues (eg, less bother and lower anxiety) were related to recall bias in an unexpected direction. Thus, providers should exercise caution when making judgments about the accuracy of a patient's symptom recall based on patient demographic and psychosocial characteristics.

Recall of health-related quality of life: how does memory affect the SF-6D in patients with psoriasis or multiple sclerosis? A prospective observational study in Germany

OBJECTIVE

This study aimed to quantify recall bias in the measurement of health-related quality of life (HRQoL), that is, the extent to which recollection is impaired and leads to distorted judgements.

DESIGN

Prospective observational study.

SETTING AND PARTICIPANTS

One hundred patients with two paradigmatic chronic diseases (50 with multiple sclerosis and 50 with psoriasis) were recruited at two outpatient clinics.

METHODS AND OUTCOME MEASURES

Patients completed the online version of the 12-Item Short Form Survey (SF-12) repeatedly for 28 consecutive days: (1) daily, considering the past 24 hours; (2) weekly, considering the past 7 days; and (3) on the last day of data collection, considering the past 4 weeks. SF-12 scores for all three measurement approaches were subsequently converted into preference-based utility indices (Short-Form Six-Dimension). Agreement of the three indices was analysed on group and individual patient levels.

RESULTS

The mean age of participants was 40.3 years (±12.0), and 63% were female. The utility index based on daily recall (0.74±0.13) was more positive than indices based on a weekly (0.70±0.13, p<0.001) or a monthly (0.70±0.14, p<0.001) recall. While agreement of measurement approaches was high on group level (intraclass correlation coefficient>0.85), it was lower for the subgroup of patients experiencing high variability of HRQoL over time. Bland-Altman plots revealed considerable differences on individual patient level.

CONCLUSIONS

On the group level, retrospective overestimation and underestimation of HRQoL almost cancelled out one another and recall bias was relatively small. Therefore, a 4-week recall period could be appropriate when group-level data are used for research or economic evaluations. In contrast, recall bias can be considerable on the individual patient level and may thus impact decision-making in clinical practice.

TRIAL REGISTRATION NUMBER

VfD_RECALL_16_003837.

Feasibility Assessment of Patient Reporting of Symptomatic Adverse Events in Multicenter Cancer Clinical Trials

IMPORTANCE

In cancer clinical trials, symptomatic adverse events (AEs), such as nausea, are reported by investigators rather than by patients. There is increasing interest to collect symptomatic AE data via patient-reported outcome (PRO) questionnaires, but it is unclear whether it is feasible to implement this approach in multicenter trials.

OBJECTIVE

To examine whether patients are willing and able to report their symptomatic AEs in multicenter trials.

DESIGN, SETTING, AND PARTICIPANTS

A total of 361 consecutive patients enrolled in any 1 of 9 US multicenter cancer treatment trials were invited to self-report 13 common symptomatic AEs using a PRO adaptation of the National Cancer Institute's Common Terminology Criteria for Adverse Events (CTCAE) via tablet computers at 5 successive clinic visits. Patient adherence was tracked with reasons for missed self-reports. Agreement with clinician AE reports was analyzed with weighted κ statistics. Patient and investigator perspectives were elicited by survey. The study was conducted from March 15, 2007, to August 11, 2011. Data analysis was performed from August 9, 2013, to March 21, 2014.

RESULTS

Of the 361 patients invited to participate, 285 individuals enrolled, with a median age of 57 years (range, 24-88), 202 (74.3%) female, 241 (85.5%) white, 73 (26.8%) with a high school education or less, and 176 (64.7%) who reported regular internet use (denominators varied owing to missing data). Across all patients and trials, there were 1280 visits during which patients had an opportunity to self-report (ie, patients were alive and enrolled in a treatment trial at the time of the visit). Self-reports were completed at 1202 visits (93.9% overall adherence). Adherence was highest at baseline and declined over time (visit 1, 100%; visit 2, 96%; visit 3, 95%; visit 4, 91%; and visit 5, 85%). Reasons for missing PROs included institutional errors in 27 of 48 (56.3%) of the cases (eg, staff forgetting to bring computers to patients at visits), patients feeling "too ill" in 8 (16.7%), patient refusal in 8 (16.7%), and internet connectivity problems in 5 (10.4%). Patient-investigator CTCAE agreement was moderate or worse for most symptoms (most κ < 0.05), with investigators reporting fewer AEs than patients across symptoms. Most patients believed that the system was easy to use (234 [93.2%]) and useful (230 [93.1%]), and investigators thought that the patient-reported AEs were useful (133 [94.3%]) and accurate (119 [83.2%]).

CONCLUSIONS AND RELEVANCE

Participants in multicenter cancer trials are willing and able to report their own symptomatic AEs at most clinic visits and report more AEs than investigators. This approach may improve the precision of AE reporting in cancer trials.

Feasibility Assessment of Patient Reporting of Symptomatic Adverse Events in Multicenter Cancer Clinical Trials

IMPORTANCE

In cancer clinical trials, symptomatic adverse events (AEs), such as nausea, are reported by investigators rather than by patients. There is increasing interest to collect symptomatic AE data via patient-reported outcome (PRO) questionnaires, but it is unclear whether it is feasible to implement this approach in multicenter trials.

OBJECTIVE

To examine whether patients are willing and able to report their symptomatic AEs in multicenter trials.

DESIGN, SETTING, AND PARTICIPANTS

A total of 361 consecutive patients enrolled in any 1 of 9 US multicenter cancer treatment trials were invited to self-report 13 common symptomatic AEs using a PRO adaptation of the National Cancer Institute's Common Terminology Criteria for Adverse Events (CTCAE) via tablet computers at 5 successive clinic visits. Patient adherence was tracked with reasons for missed self-reports. Agreement with clinician AE reports was analyzed with weighted κ statistics. Patient and investigator perspectives were elicited by survey. The study was conducted from March 15, 2007, to August 11, 2011. Data analysis was performed from August 9, 2013, to March 21, 2014.

RESULTS

Of the 361 patients invited to participate, 285 individuals enrolled, with a median age of 57 years (range, 24-88), 202 (74.3%) female, 241 (85.5%) white, 73 (26.8%) with a high school education or less, and 176 (64.7%) who reported regular internet use (denominators varied owing to missing data). Across all patients and trials, there were 1280 visits during which patients had an opportunity to self-report (ie, patients were alive and enrolled in a treatment trial at the time of the visit). Self-reports were completed at 1202 visits (93.9% overall adherence). Adherence was highest at baseline and declined over time (visit 1, 100%; visit 2, 96%; visit 3, 95%; visit 4, 91%; and visit 5, 85%). Reasons for missing PROs included institutional errors in 27 of 48 (56.3%) of the cases (eg, staff forgetting to bring computers to patients at visits), patients feeling "too ill" in 8 (16.7%), patient refusal in 8 (16.7%), and internet connectivity problems in 5 (10.4%). Patient-investigator CTCAE agreement was moderate or worse for most symptoms (most κ < 0.05), with investigators reporting fewer AEs than patients across symptoms. Most patients believed that the system was easy to use (234 [93.2%]) and useful (230 [93.1%]), and investigators thought that the patient-reported AEs were useful (133 [94.3%]) and accurate (119 [83.2%]).

CONCLUSIONS AND RELEVANCE

Participants in multicenter cancer trials are willing and able to report their own symptomatic AEs at most clinic visits and report more AEs than investigators. This approach may improve the precision of AE reporting in cancer trials.

Methods for Implementing and Reporting Patient-reported Outcome (PRO) Measures of Symptomatic Adverse Events in Cancer Clinical Trials

PURPOSE

There is increasing interest to use patient-reported outcome (PRO) measures to evaluate symptomatic adverse events (AEs) in cancer treatment trials. However, there are currently no standard recommended approaches for integrating patient-reported AE measures into trials.

METHODS

Approaches are identified from previous trials for selecting AEs for solicited patient reporting, administering patient-reported AE measures, and analyzing and reporting results.

FINDINGS

Approaches for integrating patient-reported AE measures into cancer trials generally combine current standard methods for clinician-reported AEs and established best practices for using PRO measures. Specific AEs can be selected for a PRO questionnaire based on common and expected reactions in a given trial context, derived from literature review and qualitative/mixed-methods evaluations and should be the same set administered across all arms of a trial. A mechanism for collecting unsolicited patient-reported AEs will also ideally be included. Patients will preferably report at baseline and at the end of active treatment as well as on a frequent standardized schedule during active treatment, such as weekly from home, with a recall period corresponding to the frequency of reporting (eg, past 7 days). Less frequent reporting may be considered after an initial intensive monitoring period for trials of prolonged treatments and during long-term follow-up. Electronic PRO data collection is preferred. Backup data collection for missed PRO reports is advisable to boost response rates. Analysis can use a combination of approaches to AE and PRO data. If a high proportion of patients is experiencing baseline symptoms, systematic subtraction of these from on-study AEs should be considered to improve reporting of symptoms related to treatment. More granular longitudinal analyses of individual symptoms can also be useful.

IMPLICATIONS

Methods are evolving for integrating patient-reported symptomatic AEs into cancer trials. These methods are expected to further evolve as more data from trials become available.

Ambulatory and diary methods can facilitate the measurement of patient-reported outcomes

PURPOSE

Ambulatory and diary methods of self-reported symptoms and well-being have received increasing interest in recent years. These methods are a valuable addition to traditional strategies for the assessment of patient-reported outcomes (PROs) in that they capture patients' recent symptom experiences repeatedly in their natural environments. In this article, we review ways that incorporating diary methods into PRO measurement can facilitate research on quality of life.

METHODS

Several diary methods are currently available, and they include "real-time" (Ecological Momentary Assessment) and "near-real-time" (end-of-day assessments, Day Reconstruction Method) formats. We identify the key benefits of these methods for PRO research.

RESULTS

(1) In validity testing, diary assessments can serve as a standard for evaluating the ecological validity and for identifying recall biases of PRO instruments with longer-term recall formats. (2) In research and clinical settings, diaries have the ability to closely capture variations and dynamic changes in quality of life that are difficult or not possible to obtain from traditional PRO assessments. (3) In test construction, repeated diary assessments can expand understanding of the measurement characteristics (e.g., reliability, dimensionality) of PROs in that parameters for differences between people can be compared with those for variation within people.

CONCLUSIONS

Diary assessment strategies can enrich the repertoire of PRO assessment tools and enhance the measurement of patients' quality of life.

Qualitative Research on Fatigue Associated with Depression: Content Validity of the Fatigue Associated with Depression Questionnaire (FAsD-V2)

Background

Fatigue is one of the most common symptoms of major depressive disorder (MDD). The Fatigue Associated with Depression Questionnaire (FAsD) was developed to assess fatigue and its impact in patients with MDD. The current article presents the qualitative research conducted to develop and examine the content validity of the FAsD and FASD–Version 2 (FAsD–V2).

Methods

Three phases of qualitative research were conducted with patients recruited from a geographically diverse range of clinics in the US. Phase I included concept elicitation focus groups, followed by cognitive interviews. Phase II employed similar techniques in a more targeted sample. Phase III included cognitive interviews to examine whether minor edits made after Phase II altered comprehensibility of the instrument. Concept elicitation focused on patients’ perceptions of fatigue and its impact. Cognitive interviews focused on comprehension, clarity, relevance, and comprehensiveness of the instrument. Data were collected using semi-structured discussion guides. Thematic analyses were conducted and saturation was examined.

Results

A total of 98 patients with MDD were included. Patients’ statements during concept elicitation in phases I and II supported item development and content. Cognitive interviews supported the relevance of the instrument in the target population, and patients consistently demonstrated a good understanding of the instructions, items, response options, and recall period. Minor changes to instructions for the FAsD–V2 did not affect interpretation of the instrument.

Conclusions

This qualitative research supports the content validity of the FAsD and FAsD–V2. These results add to previous quantitative psychometric analysis suggesting the FAsD–V2 is a useful tool for assessing fatigue and its impact in patients with MDD.

Ecological validity and clinical utility of Patient-Reported Outcomes Measurement Information System (PROMIS®) instruments for detecting premenstrual symptoms of depression, anger, and fatigue

OBJECTIVE

This study examined the ecological validity and clinical utility of NIH Patient Reported-Outcomes Measurement Information System (PROMIS®) instruments for anger, depression, and fatigue in women with premenstrual symptoms.

METHODS

One-hundred women completed daily diaries and weekly PROMIS assessments over 4weeks. Weekly assessments were administered through Computerized Adaptive Testing (CAT). Weekly CATs and corresponding daily scores were compared to evaluate ecological validity. To test clinical utility, we examined if CATs could detect changes in symptom levels, if these changes mirrored those obtained from daily scores, and if CATs could identify clinically meaningful premenstrual symptom change.

RESULTS

PROMIS CAT scores were higher in the pre-menstrual than the baseline (ps<.0001) and post-menstrual (ps<.0001) weeks. The correlations between CATs and aggregated daily scores ranged from .73 to .88 supporting ecological validity. Mean CAT scores showed systematic changes in accordance with the menstrual cycle and the magnitudes of the changes were similar to those obtained from the daily scores. Finally, Receiver Operating Characteristic (ROC) analyses demonstrated the ability of the CATs to discriminate between women with and without clinically meaningful premenstrual symptom change.

CONCLUSIONS

PROMIS CAT instruments for anger, depression, and fatigue demonstrated validity and utility in premenstrual symptom assessment. The results provide encouraging initial evidence of the utility of PROMIS instruments for the measurement of affective premenstrual symptoms.

More years, less yawns: fresh evidence on tiredness by age and other factors

OBJECTIVES

It is commonplace for people to complain about being tired. There have been actually few studies of tiredness in large general population samples, and where studies do exist, the measures often rely on external assessments. We use a diary-based method to overcome these limitations in a representative sample of U.S. residents.

METHODS

Data come from the 2010 American Time Use Survey. Around 13,000 respondents provided a diary about the prior day and rated how tired they felt during selected activities. Regression analysis is used to explain variance in tiredness by age.

RESULTS

Regression analysis reveals that tiredness decreases with age. This relationship exists when we control for hours of sleep, gender, self-rated health, ethnic group, number of children, marital status, employment status, level of education, and the amount of time participants spent doing tiring activities.

DISCUSSION

Contrary to much previous research, tiredness decreases with age. People who are more than 65 years of age are almost one point on a 0-6 scale less tired than people aged between 15 and 24. Clinical implications and methodological limitations are discussed.