PROMIS® Pediatric Depressive Symptoms as a Harmonized Score Metric

Systematic Review: Measurement Properties of Patient-Reported Outcome Measures Used to Measure Depression Symptom Severity in Adolescents With Depression

OBJECTIVE

To systematically evaluate the measurement properties of 12 patient-reported outcome measures (PROMs) used to measure depression symptom severity in adolescents with depression. Depression symptom severity was chosen as the outcome of focus given its importance as an outcome to measure in adolescents with depression across clinical trials and/or care.

METHOD

MEDLINE, PsycInfo, Scopus, CINAHL, and Web of Science were searched from year of inception up to December 7, 2023. Study appraisal (ie, risk of bias), evaluation of measurement properties, and evidence synthesis followed the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidelines. Included studies evaluated at least 1 of 9 measurement properties as detailed in the COSMIN taxonomy within a reported sample or subgroup of youth ages 12 to 24 years, with at least 40% meeting criteria for any depressive disorder.

RESULTS

Of the 15,560 records identified, 31 studies for 7 PROMs were included in the COSMIN appraisal. Although several PROMs have the potential to accurately measure depression symptom severity in adolescents with depression, at this time none of the PROMs can be recommended for use without further evaluative work. High-quality evidence was generally lacking, largely due to few or inconsistent findings, small sample sizes, and other methodological concerns.

CONCLUSION

This systematic review of the measurement properties of 12 PROMs used to measure depression symptom severity in adolescents with depression found that none of the PROMs can be recommended for use until further evaluative work is conducted. Clinicians and researchers should proceed with caution when using these PROMs.

DIVERSITY AND INCLUSION STATEMENT

One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. We actively worked to promote sex and gender balance in our author group. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work.

Development of an International Standard Set of Outcomes and Measurement Methods for Routine Practice for Infants, Children, and Adolescents with Epilepsy: The International Consortium for Health Outcomes Measurement Consensus Recommendations

At present, there is no internationally accepted set of core outcomes or measurement methods for epilepsy clinical practice. The International Consortium for Health Outcomes Measurement (ICHOM) convened an international working group of experts in epilepsy, people with epilepsy, and their representatives to develop minimum sets of standardized outcomes and outcome measurement methods for clinical practice. Using modified Delphi consensus methods with consecutive rounds of online voting over 12 months, a core set of outcomes and corresponding measurement tool packages to capture the outcomes were identified for infants, children, and adolescents with epilepsy. Consensus methods identified 20 core outcomes. In addition to the outcomes identified for the ICHOM Epilepsy adult standard set, behavioral, motor, and cognitive/language development outcomes were voted as essential for all infants and children with epilepsy. The proposed set of outcomes and measurement methods will facilitate the implementation of the use of patient-centered outcomes in daily practice.

Content agreement of depressive symptomatology in children and adolescents: a review of eighteen self-report questionnaires

Identifying major depression in children and adolescents is more challenging than in adults. Questionnaires are often used for screening or guiding clinical assessment. Several instruments of different lengths are used as equivalent measures in diagnostic decisions. In this paper, we explore to what extent 18 commonly used depression scales for children and adolescents explore depression clinical symptoms as established by standard DSM-5 diagnosis criteria. We analyzed scale content adequacy by examining the overlap between scale contents and consensus clinical symptoms, the diagnostic time frame for active symptom assessment, and readability for the target age group. The 18 scales encompassed 52 distinct symptoms. These scales included just 50% of clinical symptoms required for diagnosis. The content overlap was low; on average, 29% of symptoms coincide across scales. Half of the scales did not use the standard period for active symptom appraisal, and some did not include a period for assessment. The reading levels on six scales were inappropriate for the scale's target population age group. The substantial heterogeneity in defining the depressive syndrome, the low overlap among scales, different periods of a positive diagnosis, and mismatch of reading competence for detecting may lead to heterogeneity in clinical diagnoses when using different scales. Improving the content of self-report in terms of homogeneity of diagnostic criteria would lead to better diagnostic decisions and patient management.

Moderating Effect of Depression on Glycemic Control in an eHealth Intervention Among Black Youth With Type 1 Diabetes: Findings From a Multicenter Randomized Controlled Trial

BACKGROUND

Black adolescents with type 1 diabetes (T1D) are at increased risk for suboptimal diabetes health outcomes; however, evidence-based interventions for this population are lacking. Depression affects a high percentage of youth with T1D and increases the likelihood of health problems associated with diabetes.

OBJECTIVE

Our aim was to test whether baseline levels of depression moderate the effects of a brief eHealth parenting intervention delivered to caregivers of young Black adolescents with T1D on youths' glycemic control.

METHODS

We conducted a multicenter randomized controlled trial at 7 pediatric diabetes clinics located in 2 large US cities. Participants (N=149) were allocated to either the intervention group or a standard medical care control group. Up to 3 intervention sessions were delivered on a tablet computer during diabetes clinic visits over a 12-month period.

RESULTS

In a linear mixed effects regression model, planned contrasts did not show significant reductions in hemoglobin A1c (HbA1c) for intervention adolescents compared to controls. However, adolescents with higher baseline levels of depressive symptoms who received the intervention had significantly greater improvements in HbA1c levels at 6-month follow-up (0.94%; P=.01) and 18-month follow-up (1.42%; P=.002) than those with lower levels of depression. Within the intervention group, adolescents had a statistically significant reduction in HbA1c levels from baseline at 6-month and 18-month follow-up.

CONCLUSIONS

A brief, culturally tailored eHealth parenting intervention improved health outcomes among Black adolescents with T1D and depressive symptoms.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03168867; https://clinicaltrials.gov/study/NCT03168867.

Symptoms, Physical Activity, and Biomarkers in Children at the End of Leukemia Maintenance Therapy

Background: Symptoms in children with acute lymphocytic leukemia (ALL) change over the trajectory of treatment but little is known about their symptoms as treatment ends. Physical activity may help decrease symptom distress and is vital for ongoing development. The role of biomarkers in symptom science is emerging. The purpose of the study was to explore relationships between self-report of symptoms and physical activity, actigraphy measures, and cerebrospinal fluid (CSF) biomarkers. Methods: Participants were children who were ages 3 to 18 years at the time of ALL diagnosis and were now in the last 12-week cycle of ALL maintenance. Self-reports of fatigue, sleep disturbance, depressive symptoms, and physical activity were completed by participants and parents of younger children. Participants wore a wrist actigraph continuously for the 7 days before other measurements. F2-isoprostanes and interleukin-8 were evaluated in CSF samples. Results: Among the 15 participants, self-report of symptoms and physical activity indicated levels similar to healthy peers. F2-isoprostane had a strong positive correlation with fatigue levels and with depressive symptoms. Fatigue, sleep disturbance, and depressive symptoms positively correlated with each other. Actigraph measures showed children met the CDC guidelines for 60 min of daily moderate to vigorous activity; sleep time was slightly less than healthy norms. Discussion: During maintenance therapy, most children return to healthy norms in symptom burden and physical activity. F2-isoprostane in the CSF is a biomarker for fatigue and depressive symptoms. Children who had persistent symptoms experienced them as a cluster, which confirms previous symptom cluster research.

Changes in Quality of Life, Sleep, and Physical Activity During COVID-19: A Longitudinal Study of Adolescent Athletes

CONTEXT

The abrupt cessation of school and sport participation during the COVID-19 pandemic may have negative implications for adolescent mental health.

OBJECTIVES

To (1) compare mental, physical, and social health and behaviors during pandemic-related stay-at-home mandates with the same measures collected 1 to 2 years earlier and (2) evaluate the relationships between physical activity and sleep during the pandemic and changes in anxiety, fatigue, and peer relationships between assessment times.

DESIGN

Cohort study.

SETTING

Pediatric sports medicine center.

PATIENTS OR OTHER PARTICIPANTS

A total of 39 high school athletes (25 adolescent girls, 14 adolescent boys; age = 16.2 ± 0.9 years).

MAIN OUTCOME MEASURE(S)

Patient-Reported Outcome Measurement System anxiety, fatigue, and peer relationships short forms and the Pittsburgh Sleep Quality Index were completed twice (initial assessment in May 2018 or 2019, follow-up assessment in May or June 2020). Frequency and duration of physical activity and frequency of interaction with other individuals (family, peers, sport coaches, etc) were self-reported at follow-up assessment for the 2 weeks before school or sport closure and the 2 weeks before questionnaire completion.

RESULTS

Higher levels of anxiety (5.5 ± 4.0 versus 3.6 ± 3.4 points; P = .003) and fatigue (5.4 ± 3.7 versus 2.3 ± 2.5 points; P < .001) and worse sleep quality (6.6 ± 2.9 versus 4.3 ± 2.3 points; P < .001) were observed during the pandemic compared with previous assessments. Reductions in physical activity were noted between assessments (exercise duration: 86.4 ± 41.0 versus 53.8 ± 30.0 minutes; P < .001). Sleep quality but not physical activity during the pandemic predicted changes in fatigue (P = .03, β = 0.44 [95% CI = 0.06, 0.83]) and peer relationships (P = .01, β = -0.65 [95% CI = -1.16, -0.15]) from initial to follow-up assessment.

CONCLUSIONS

Mental and physical health declined during stay-at-home mandates compared with assessments 1 to 2 years earlier. Physical activity behaviors and sources of social interaction underwent changes after school and sport cessation. Sleep quality may have provided some protection against declining adolescent mental health during the pandemic, although this relationship requires further investigation.

Sustained increase in depression and anxiety among psychiatrically healthy adolescents during late stage COVID-19 pandemic

Background

Adolescents have experienced increases in anxiety, depression, and stress during the COVID-19 pandemic and may be at particular risk for suffering from long-term mental health consequences because of their unique developmental stage. This study aimed to determine if initial increases in depression and anxiety in a small sample of healthy adolescents after the onset of the COVID-19 pandemic were sustained at follow-up during a later stage of the pandemic.

Methods

Fifteen healthy adolescents completed self-report measures at three timepoints (pre-pandemic [T1], early pandemic [T2], and later pandemic [T3]). The sustained effect of COVID-19 on depression and anxiety was examined using linear mixed-effect analyses. An exploratory analysis was conducted to investigate the relationship between difficulties in emotion regulation during COVID-19 at T2 and increases in depression and anxiety at T3.

Results

The severity of depression and anxiety was significantly increased at T2 and sustained at T3 (depression: Hedges' g [T1 to T2] = 1.04, g [T1 to T3] = 0.95; anxiety: g [T1 to T2] = 0.79, g [T1 to T3] = 0.80). This was accompanied by sustained reductions in positive affect, peer trust, and peer communication. Greater levels of difficulties in emotion regulation at T2 were related to greater symptoms of depression and anxiety at T3 (rho = 0.71 to 0.80).

Conclusion

Increased symptoms of depression and anxiety were sustained at the later stage of the pandemic in healthy adolescents. Replication of these findings with a larger sample size would be required to draw firm conclusions.

Naturalistic Sleep Patterns are Linked to Global Structural Brain Aging in Adolescence

PURPOSE

We examined whether interindividual differences in naturalistic sleep patterns correlate with any deviations from typical brain aging.

METHODS

Our sample consisted of 251 participants without current psychiatric diagnoses (9-25 years; mean [standard deviation] = 17.4 ± 4.52 yr; 58% female) drawn from the Neuroimaging and Pediatric Sleep Databank. Participants completed a T1-weighted structural magnetic resonance imaging scan and 5-7 days of wrist actigraphy to assess naturalistic sleep patterns (duration, timing, continuity, and regularity). We estimated brain age from extracted structural magnetic resonance imaging indices and calculated brain age gap (estimated brain age-chronological age). Robust regressions tested cross-sectional associations between brain age gap and sleep patterns. Exploratory models investigated moderating effects of age and biological gender and, in a subset of the sample, links between sleep, brain age gap, and depression severity (Patient-Reported Outcomes Measurement Information System Depression).

RESULTS

Later sleep timing (midsleep) was associated with more advanced brain aging (larger brain age gap), β = 0.1575, puncorr = .0042, pfdr = .0167. Exploratory models suggested that this effect may be driven by males, although the interaction of gender and brain age gap did not survive multiple comparison correction (β = 0.2459, puncorr = .0336, pfdr = .1061). Sleep duration, continuity, and regularity were not significantly associated with brain age gap. Age did not moderate any brain age gap-sleep relationships. In this psychiatrically healthy sample, depression severity was also not associated with brain age gap or sleep.

DISCUSSION

Later midsleep may be one behavioral cause or correlate of more advanced brain aging, particularly among males. Future studies should examine whether advanced brain aging and individual differences in sleep precede the onset of suboptimal cognitive-emotional outcomes in adolescents.

A Naturalistic Actigraphic Assessment of Changes in Adolescent Sleep, Light Exposure, and Activity Before and During COVID-19

The majority of high school-aged adolescents obtain less than the recommended amount of sleep per night, in part because of imposed early school start times. Utilizing a naturalistic design, the present study evaluated changes in objective measurements of sleep, light, and physical activity before (baseline) and during the first wave of the COVID-19 pandemic (during COVID-19) in a group of US adolescents. Sixteen adolescents (aged 15.9 ± 1.2 years, 68.8% female) wore an actigraphy monitor for 7 consecutive days during an in-person week of school before the pandemic (October 2018-February 2020) and again during the pandemic when instruction was performed virtually (May 2020). Delayed weekday sleep onset times of 1.66 ± 1.33 h (p < 0.001) and increased sleep duration of 1 ± 0.87 h (p < 0.001) were observed during COVID-19 compared with baseline. Average lux was significantly higher during COVID-19 compared with baseline (p < 0.001). Weekday physical activity parameters were not altered during COVID-19 compared with baseline, except for a delay in the midpoint of the least active 5 h (p value = 0.044). This analysis provides insight into how introducing flexibility into the traditional school schedule might influence sleep in adolescents.

Health Care Transition From Pediatric- to Adult-Focused Care in X-linked Hypophosphatemia: Expert Consensus

CONTEXT

X-linked hypophosphatemia (XLH) is an inherited skeletal disorder that can lead to lifelong deleterious musculoskeletal and functional consequences. Although often perceived as a childhood condition, children and adults both experience the negative effects of XLH. Adolescents and young adults (AYAs) benefit from effective health care transition (HCT) preparation to support the transfer from pediatric- to adult-focused care. Whereas transition timelines, milestones, and educational tools exist for some chronic conditions, they do not meet the unique needs of patients with XLH.

EVIDENCE ACQUISITION

To produce the first expert recommendations on HCT preparation for AYAs with XLH developed by clinical care investigators and transition experts, a formal literature search was conducted and discussed in an advisory board meeting in July 2020. A modified Delphi method was used to refine expert opinion and facilitate a consensus position.

EVIDENCE SYNTHESIS

We identified the need for psychosocial and access-related resources for disease education, genetic counseling, family planning, and AYA emancipation from caregiver-directed care. Additionally, we recognized that it is necessary to facilitate communication with patients through channels familiar and accessible to AYAs and teach patients to advocate for their health care/access to specialists.

CONCLUSION

Clear HCT preparation guidelines and treatment-related goals are defined. Individualized timelines and practical strategies for HCT preparation are proposed to optimize health outcomes resulting from continuous clinical care throughout the patient lifecycle. We provide an expert consensus statement describing a tailored HCT preparation program specifically for AYAs with XLH to aid in the effective transfer from pediatric- to adult-focused health care.

The challenge of ensuring affordability, sustainability, consistency, and adaptability in the common metrics agenda

Mental health research grapples with research waste and stunted field progression caused by inconsistent outcome measurement across studies and clinical settings, which means there is no common language for considering findings. Although recognising that no gold standard measures exist and that all existing measures are flawed in one way or another, anxiety and depression research is spearheading a common metrics movement to harmonise measurement, with several initiatives over the past 5 years recommending the consistent use of specific scales to allow read-across of measurements between studies. For this approach to flourish, however, common metrics must be acceptable and adaptable to a range of contexts and populations, and global access should be as easy and affordable as possible, including in low-income countries. Within a measurement landscape dominated by fixed proprietary measures and with competing views of what should be measured, achieving this goal poses a range of challenges. In this Personal View, we consider tensions between affordability, sustainability, consistency, and adaptability that, if not addressed, risk undermining the common metrics agenda. We outline a three-pronged way forward that involves funders taking more direct responsibility for measure development and dissemination; a move towards managing measure dissemination and adaptation via open-access measure hubs; and transitioning from fixed questionnaires to item banks. We argue that now is the time to start thinking of mental health metrics as 21st century tools to be co-owned and co-created by the mental health community, with support from dedicated infrastructure, coordinating bodies, and funders.

Linking Scores with Patient-Reported Health Outcome Instruments:A VALIDATION STUDY AND COMPARISON OF THREE LINKING METHODS

The psychometric process used to establish a relationship between the scores of two (or more) instruments is generically referred to as linking. When two instruments with the same content and statistical test specifications are linked, these instruments are said to be equated. Linking and equating procedures have long been used for practical benefit in educational testing. In recent years, health outcome researchers have increasingly applied linking techniques to patient-reported outcome (PRO) data. However, these applications have some noteworthy purposes and associated methodological questions. Purposes for linking health outcomes include the harmonization of data across studies or settings (enabling increased power in hypothesis testing), the aggregation of summed score data by means of score crosswalk tables, and score conversion in clinical settings where new instruments are introduced, but an interpretable connection to historical data is needed. When two PRO instruments are linked, assumptions for equating are typically not met and the extent to which those assumptions are violated becomes a decision point around how (and whether) to proceed with linking. We demonstrate multiple linking procedures-equipercentile, unidimensional IRT calibration, and calibrated projection-with the Patient-Reported Outcomes Measurement Information System Depression bank and the Patient Health Questionnaire-9. We validate this link across two samples and simulate different instrument correlation levels to provide guidance around which linking method is preferred. Finally, we discuss some remaining issues and directions for psychometric research in linking PRO instruments.

Predictors of Adolescent Depressive Symptoms

The present study expands the existing literature and supplements today’s knowledge on the relationship between personal, psychosocial and lifestyle factors and depressive symptoms among adolescents. The study aimed to investigate the variety of depressive symptoms predictors—personal resources, adverse school and family, health, lifestyle-related (sense of coherence, self-esteem, school involvement, negative acts at school, family stress and violence, psychosomatic health complaints, physical activity, smoking, alcohol) as well as gender, employing hierarchical linear regression analysis in a large representative sample of adolescents (N = 2212) in Kaunas, Lithuania. Four blocks of predictors were employed in hierarchical linear regression analysis. In the final model 64.9% of depressive symptoms were explained by all the predictors. Sense of coherence was the strongest predictor of depressive symptoms (standardized regression coefficient β = −605, p < 0.001 in the first model and β = −263, p < 0.001 in the final model after adjustment for all other independent variables) and accounted for 36.6% of variance. In conclusion, this study supports the notion that depressive symptoms among adolescents have multifactorial origins with many predictors showing significant effect seizes. Therefore, high sense of coherence and self-esteem, school involvement, higher levels of physical activity would be protective and influence lower levels of depressive symptoms among adolescents. Exposure to negative acts at school and negative experiences in the family, psychosomatic health complaints, smoking would increase the probability of depressive symptoms. Girls are more prone to depression as compared to boys.

THRIVE Conceptual Framework and Study Protocol: A Community-Partnered Longitudinal Multi-Cohort Study to Promote Child and Youth Thriving, Health Equity, and Community Strength

BACKGROUND

Given the profound inequities in maternal and child health along racial, ethnic, and socioeconomic lines, strength-based, community-partnered research is required to foster thriving children, families, and communities, where thriving is defined as optimal development across physical, mental, cognitive, and social domains. The Pittsburgh Study (TPS) is a community-partnered, multi-cohort study designed to understand and promote child and youth thriving, build health equity, and strengthen communities by integrating community partners in study design, implementation, and dissemination. TPS launched the Tracking Health, Relationships, Identity, EnVironment, and Equity (THRIVE) Study to evaluate children's developmental stages and contexts from birth through completion of high school and to inform a child health data hub accessible to advocates, community members, educators, health professionals, and policymakers.

METHODS AND ANALYSIS

TPS is rooted in community-partnered participatory research (CPPR), health equity, antiracism, and developmental science. Using our community-informed conceptual framework of child thriving, the THRIVE Study will assess cross-cutting measures of place, environment, health service use, and other social determinants of health to provide longitudinal associations with developmentally appropriate child and youth thriving outcomes across participants in six cohorts spanning from pregnancy through adolescence (child ages 0-18 years). Data from electronic health records, school records, and health and human services use are integrated to assess biological and social influences of thriving. We will examine changes over time using paired t-tests and adjusted linear regression models for continuous thriving scores and McNemar tests and adjusted logistic regression models for categorical outcomes (thriving/not thriving). Data analyses will include mixed models with a random intercept (in combination with the previously-specified types of regression models) to account for within-subject correlation.

DISCUSSION

By enhancing assessment of child and youth well-being, TPS will fill critical gaps in our understanding of the development of child and youth thriving over time and test strategies to support thriving in diverse communities and populations. Through CPPR and co-design, the study aims to improve child health inequities across multiple socioecological levels and developmental domains.