The sensitivity of the MOS SF-12 and PROMIS® global summary scores to adverse health events in an older cohort

Naturalistic use of a digital mental health intervention for depression and anxiety: A randomized clinical trial

BACKGROUND

Digital mental health interventions (DMHI) may offer scalable treatment for common mental health conditions. However, many commercially available apps have not been subjected to rigorous evaluation of effectiveness, particularly among users experiencing clinically significant symptomatology. We examined depression and anxiety symptom outcomes associated with a top-rated, commercially available self-guided DMHI based on cognitive behavioral therapy ("Sanvello") relative to waitlist control.

METHODS

This preregistered web-based, 2-arm, parallel-group randomized trial enrolled U.S. adults with self-reported elevated symptoms of depression and/or anxiety. Those assigned to the treatment condition were provided 8 weeks of access to Sanvello. Co-primary outcomes of depression (Patient Health Questionnaire [PHQ-9]) and anxiety (Generalized Anxiety Disorder 7-item scale [GAD-7]) severity were assessed at baseline and 2, 4, 6, and 8 weeks.

RESULTS

Intention-to-treat analyses included 280 participants (mean age 32.47 ± 9.32 years; 86.1 % women). Generalized linear mixed models showed a significant improvement in depression (F(4,779) = 6.51, p < .001) and anxiety (F(4,907) = 3.28, p = .01) associated with the DMHI over time. The intervention was also associated with a greater proportion of participants exhibiting depression response (25 [45.5 %] vs 26 [16.9 %]) and remission (10 [18.2 %] vs 7 [4.5 %]) on the PHQ-9, and anxiety response (31 [44.9 %] vs 39 [22.8 %]) and remission (20 [29.0 %] vs 27 [15.8 %]) on the GAD-7, relative to waitlist.

LIMITATIONS

Findings may not represent people with serious mental illness, suicidality, or the broader population of DMHI users.

CONCLUSIONS

A commercially available, self-guided DMHI was effective at improving symptoms in individuals experiencing depression or anxiety.

TRIAL REGISTRATION

ClinicalTrials.gov [NCT05373329].

Psychometric properties and general population reference values for PROMIS Global Health in Hungary

OBJECTIVES

Patient-Reported Outcomes Measurement Information System-Global Health (PROMIS-GH) is a widely used generic measure of health status. This study aimed to (1) assess the psychometric properties of the Hungarian PROMIS-GH and to (2) develop general population reference values in Hungary.

METHODS

An online cross-sectional survey was conducted among the Hungarian adult general population (n = 1700). Respondents completed the PROMIS-GH v1.2. Unidimensionality (confirmatory factor analysis and bifactor model), local independence, monotonicity (Mokken scaling), graded response model fit, item characteristic curves and measurement invariance were examined. Spearman's correlations were used to analyse convergent validity of PROMIS-GH subscales with SF-36v1 composites and subscales. Age- and gender-weighted T-scores were computed for the Global Physical Health (GPH) and Global Mental Health (GMH) subscales using the US item calibrations.

RESULTS

The item response theory assumptions of unidimensionality, local independence and monotonicity were met for both subscales. The graded response model showed acceptable fit indices for both subscales. No differential item functioning was detected for any sociodemographic characteristics. GMH T-scores showed a strong correlation with SF-36 mental health composite score (rs = 0.71) and GPH T-scores with SF-36 physical health composite score (rs = 0.83). Mean GPH and GMH T-scores of females were lower (47.8 and 46.4) compared to males (50.5 and 49.3) (p < 0.001), and both mean GPH and GMH T-scores decreased with age, suggesting worse health status (p < 0.05).

CONCLUSION

This study established the validity and developed general population reference values for the PROMIS-GH in Hungary. Population reference values facilitate the interpretation of patients' scores and allow inter-country comparisons.

Comparison of patient-reported outcomes measurement information system (PROMIS®)-29 and PROMIS global physical and mental health scores

PURPOSE

The Patient-Reported Outcomes Measurement and Information System (PROMIS®): includes the PROMIS-29 physical and mental health summary and the PROMIS global physical and mental health scores. It is unknown how these scores coincide with one another. This study examines whether the scores yield similar or different information.

METHODS

The PROMIS-29 and the PROMIS global health items were administered to 5804 adults from Amazon's Mechanical Turk (MTurk) in 2021-2022 and to 4060 adults in the Ipsos KnowledgePanel (KP) in 2022.

RESULTS

The median age of those in MTurk (KP) was 36 (54) and 53% (50%) were male. Mean T-scores on the PROMIS-29 and PROMIS global physical health scales were similar, but PROMIS global mental health was 3-4 points lower than the PROMIS-29 mental health summary score. Product-moment correlations ranged from 0.69 to 0.81 between the PROMIS-29 physical health and PROMIS global physical health scales and 0.56-0.69 between the mental health scales. Multi-trait multimethod analyses indicated that only a small proportion of the correlations between the two methods of measuring mental health were significantly more highly correlated with one another than correlations between physical and mental health.

CONCLUSIONS

PROMIS-29 and PROMIS global mental health scales provide different information and, therefore, study conclusions may vary depending on which measure is used. Interpretation of results needs to consider that the PROMIS-29 mental health scale is a weighted combination of specific domains while the PROMIS global mental health scale is based on general mental health perceptions. Further comparisons of methods of assessing mental health are needed.

Successful aging after elective surgery II: Study cohort description

BACKGROUND

The Successful Aging after Elective Surgery (SAGES) II Study was designed to examine the relationship between delirium and Alzheimer's disease and related dementias (AD/ADRD), by capturing novel fluid biomarkers, neuroimaging markers, and neurophysiological measurements. The goal of this paper is to provide the first complete description of the enrolled cohort, which details the baseline characteristics and data completion. We also describe the study modifications necessitated by the COVID-19 pandemic, and lay the foundation for future work using this cohort.

METHODS

SAGES II is a prospective observational cohort study of community-dwelling adults age 65 and older undergoing major non-cardiac surgery. Participants were assessed preoperatively, throughout hospitalization, and at 1, 2, 6, 12, and 18 months following discharge to assess cognitive and physical functioning. Since participants were enrolled throughout the COVID-19 pandemic, procedural modifications were designed to reduce missing data and allow for high data quality.

RESULTS

About 420 participants were enrolled with a mean (standard deviation) age of 73.4 (5.6) years, including 14% minority participants. Eighty-eight percent of participants had either total knee or hip replacements; the most common surgery was total knee replacement with 210 participants (50%). Despite the challenges posed by the COVID-19 pandemic, which required the use of novel procedures such as video assessments, there were minimal missing interviews during hospitalization and up to 1-month follow-up; nearly 90% of enrolled participants completed interviews through 6-month follow-up.

CONCLUSION

While there are many longitudinal studies of older adults, this study is unique in measuring health outcomes following surgery, along with risk factors for delirium through the application of novel biomarkers-including fluid (plasma and cerebrospinal fluid), imaging, and electrophysiological markers. This paper is the first to describe the characteristics of this unique cohort and the data collected, enabling future work using this novel and important resource.

Successful aging after elective surgery II: Study design and methods

BACKGROUND

The Successful Aging after Elective Surgery (SAGES) II study was designed to increase knowledge of the pathophysiology and linkages between delirium and dementia. We examine novel biomarkers potentially associated with delirium, including inflammation, Alzheimer's disease (AD) pathology and neurodegeneration, neuroimaging markers, and neurophysiologic markers. The goal of this paper is to describe the study design and methods for the SAGES II study.

METHODS

The SAGES II study is a 5-year prospective observational study of 400-420 community dwelling persons, aged 65 years and older, assessed prior to scheduled surgery and followed daily throughout hospitalization to observe for development of delirium and other clinical outcomes. Delirium is measured with the Confusion Assessment Method (CAM), long form, after cognitive testing. Cognitive function is measured with a detailed neuropsychologic test battery, summarized as a weighted composite, the General Cognitive Performance (GCP) score. Other key measures include magnetic resonance imaging (MRI), transcranial magnetic stimulation (TMS)/electroencephalography (EEG), and Amyloid positron emission tomography (PET) imaging. We describe the eligibility criteria, enrollment flow, timing of assessments, and variables collected at baseline and during repeated assessments at 1, 2, 6, 12, and 18 months.

RESULTS

This study describes the hospital and surgery-related variables, delirium, long-term cognitive decline, clinical outcomes, and novel biomarkers. In inter-rater reliability assessments, the CAM ratings (weighted kappa = 0.91, 95% confidence interval, CI = 0.74-1.0) in 50 paired assessments and GCP ratings (weighted kappa = 0.99, 95% CI 0.94-1.0) in 25 paired assessments. We describe procedures for data quality assurance and Covid-19 adaptations.

CONCLUSIONS

This complex study presents an innovative effort to advance our understanding of the inter-relationship between delirium and dementia via novel biomarkers, collected in the context of major surgery in older adults. Strengths include the integration of MRI, TMS/EEG, PET modalities, and high-quality longitudinal data.

Improving outcomes for care partners of persons with traumatic brain injury: Protocol for a randomized control trial of a just-in-time-adaptive self-management intervention

Informal family care partners of persons with traumatic brain injury (TBI) often experience intense stress resulting from their caregiver role. As such, there is a need for low burden, and easy to engage in interventions to improve health-related quality of life (HRQOL) for these care partners. This study is designed to evaluate the effectiveness of a personalized just-in-time adaptive intervention (JITAI) aimed at improving the HRQOL of care partners. Participants are randomized either to a control group, where they wear the Fitbit® and provide daily reports of HRQOL over a six-month (180 day) period (without the personalized feedback), or the JITAI group, where they wear the Fitbit®, provide daily reports of HRQOL and receive personalized self-management pushes for 6 months. 240 participants will be enrolled (n = 120 control group; n = 120 JITAI group). Outcomes are collected at baseline, 1-, 2-, 3-, 4-, 5- & 6-months, as well as 3- and 6-months post intervention. We hypothesize that the care partners who receive the intervention (JITAI group) will show improvements in caregiver strain (primary outcome) and mental health (depression and anxiety) after the 6-month (180 day) home monitoring period. Participant recruitment for this study started in November 2020. Data collection efforts should be completed by spring 2025; results are expected by winter 2025. At the conclusion of this randomized control trial, we will be able to identify care partners at greatest risk for negative physical and mental health outcomes, and will have demonstrated the efficacy of this JITAI intervention to improve HRQOL for these care partners. Trial registration: ClinicalTrial.gov NCT04570930; https://clinicaltrials.gov/ct2/show/NCT04570930.

An App-Based Just-in-Time Adaptive Self-management Intervention for Care Partners (CareQOL): Protocol for a Pilot Trial

BACKGROUND

Care partners (ie, informal family caregivers) of individuals with health problems face considerable physical and emotional stress, often with a substantial negative impact on the health-related quality of life (HRQOL) of both care partners and care recipients. Given that these individuals are often overwhelmed by their caregiving responsibilities, low-burden self-management interventions are needed to support care partners to ensure better patient outcomes.

OBJECTIVE

The primary objective of this study is to describe an intensive data collection protocol that involves the delivery of a personalized just-in-time adaptive intervention that incorporates passive mobile sensor data feedback (sleep and activity data from a Fitbit [Fitbit LLC]) and real time self-reporting of HRQOL via a study-specific app called CareQOL (University of Michigan) to provide personalized feedback via app alerts.

METHODS

Participants from 3 diverse care partner groups will be enrolled (care partners of persons with spinal cord injury, care partners of persons with Huntington disease, and care partners of persons with hematopoietic cell transplantation). Participants will be randomized to either a control group, where they will wear the Fitbit and provide daily reports of HRQOL over a 3-month (ie, 90 days) period (without personalized feedback), or the just-in-time adaptive intervention group, where they will wear the Fitbit, provide daily reports of HRQOL, and receive personalized push notifications for 3 months. At the end of the study, participants will complete a feasibility and acceptability questionnaire, and metrics regarding adherence and attrition will be calculated.

RESULTS

This trial opened for recruitment in November 2020. Data collection was completed in June 2021, and the primary results are expected to be published in 2022.

CONCLUSIONS

This trial will determine the feasibility and acceptability of an intensive app-based intervention in 3 distinct care partner groups: care partners for persons with a chronic condition that was caused by a traumatic event (ie, spinal cord injury); care partners for persons with a progressive, fatal neurodegenerative disease (ie, Huntington disease); and care partners for persons with episodic cancer conditions that require intense, prolonged inpatient and outpatient treatment (persons with hematopoietic cell transplantation).

TRIAL REGISTRATION

ClinicalTrials.gov NCT04556591; https://clinicaltrials.gov/ct2/show/NCT04556591.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/32842.

Older people as active agents in their neighbourhood environments: Moving house can improve quality of life

BACKGROUND AND OBJECTIVES

Neighbourhood environments are an important aspect of well-being for older people. Developments of the general ecological model recognise older people as active agents who adapt their environments to fit their changing needs. We provide empirical support for a model suggested by Wahl et al., by examining interactions between neighbourhood environments, personal situations, relocation, and quality of life among older people.

RESEARCH DESIGN AND METHODS

Two statistical models were tested with a sample of community dwelling participants (aged 55-89) in the New Zealand Health, Work and Retirement longitudinal surveys conducted in 2016 (T1) and 2018 (T2). Multiple linear regression assessed the association of perceptions of housing and neighbourhood with quality of life (QoL) at T1 (n = 3682).

RESULTS

QoL was predicted by housing satisfaction, and neighbourhood satisfaction, accessibility, and trust (controlling for age, gender, marital status, home ownership, SES, physical health and mental health). Mixed ANOVA showed that those who moved house between T1-T2 reported lower housing and neighbourhood satisfaction than non-movers at T1. Over time T1-T2, movers reported less decline in housing satisfaction, and more positive change on all neighbourhood perceptions, with higher perceptions of neighbourhood accessibility than non-movers at T2.

DISCUSSION AND IMPLICATIONS

These findings support the theoretical model and provide impetus for more detailed study of the effects of the environment on well-being in older age. Housing and neighbourhood environments are a very practical focus for social policy change at local and national levels.

A Biopsychosocial Model of Chronic Pain for Older Adults

Population

Comprehensive evaluation of chronic pain in older adults is multifaceted.

Objective and Methods

Research on chronic pain in older adults needs to be guided by sound conceptual models. The purpose of this paper is to describe an adaptation of the Biopsychosocial Model (BPS) of Chronic Pain for older adults. The extant literature was reviewed, and selected research findings that provide the empiric foundation for this adaptation of the BPS model of chronic pain are summarized. The paper concludes with a discussion of specific recommendations for how this adapted model can be used to guide future research.

Conclusions

This adaptation of the BPS model of chronic pain for older adults provides a comprehensive framework to guide future research in this vulnerable population.

Health-Related Quality of Life and Treatment of Older Adults with Acute Myeloid Leukemia: a Young International Society of Geriatric Oncology Review Paper

PURPOSE OF REVIEW

The treatment landscape for older patients with acute myeloid leukemia (AML) is evolving. Many treatments have comparable efficacy making their impact on quality of life (QoL) an important differentiating factor. In this review, we discuss QoL in older adults with AML, focusing on therapeutic and observational trials that have incorporated QoL assessments.

RECENT FINDINGS

Health-related quality of life (HRQoL) is a multi-dimensional concept incorporating physical, mental, emotional, and social functioning domains. HRQoL components overlap with components of geriatric assessment, a multidisciplinary diagnostic process that identifies underlying vulnerabilities of older adults and guides subsequent management strategies. HRQoL questionnaires may be general, cancer-specific, leukemia-specific, or symptom-focused. Therapeutic and observational cohort studies suggest HRQoL improves, or at least remains stable, during intensive and lower-intensity therapies. Nonetheless, HRQoL is not routinely incorporated in AML therapeutic trials. HRQoL assessments can inform both decision-making and management for older adults with AML.