Clinical characteristics and patient-reported outcomes of chronic and episodic migraine patients at a US tertiary headache center: A retrospective observational study.

OBJECTIVE: To describe differences in clinical and demographic characteristics between patients with episodic migraine (EM) or chronic migraine (CM) and determine the effect of migraine subtype on patient-reported outcome measures (PROM). BACKGROUND: Prior studies have characterized migraine in the general population. While this provides a basis for our understanding of migraine, we have less insight into the characteristics, comorbidities, and outcomes of migraine patients who present to subspecialty headache clinics. These patients represent a subset of the population that bears the greatest burden of migraine disability and are more representative of migraine patients who seek medical care. Valuable insights can be gained from a better understanding of CM and EM in this population. METHODS: We conducted a retrospective observational cohort study of patients with CM or EM seen in the Cleveland Clinic Headache Center between January 2012 and June 2017. Demographics, clinical characteristics, and patient-reported outcome measures (3-Level European Quality of Life 5-Dimension [EQ-5D-3L], Headache Impact Test-6 [HIT-6], Patient Health Questionnaire-9 [PHQ-9]) were compared between groups. RESULTS: Eleven thousand thirty-seven patients who had 29,032 visits were included. More CM patients reported being on disability 517/3652 (14.2%) than EM patients 249/4881 (5.1%) and had significantly worse mean HIT-6 (67.3 ± 7.4 vs. 63.1 ± 7.4, p < 0.001) and median [interquartile range] EQ-5D-3L (0.77 [0.44-0.82] vs. 0.83 [0.77-1.00], p < 0.001), and PHQ-9 (10 [6-16] vs. 5 [2-10], p < 0.001). CONCLUSIONS: There are multiple differences in demographic characteristics and comorbid conditions between patients with CM and EM. After adjustment for these factors, CM patients had higher PHQ-9 scores, lower quality of life scores, greater disability, and greater work restrictions/unemployment.

Quality of life after epilepsy surgery: How domain-specific cognitive changes impact QOL within the context of seizure outcome.

PURPOSE: Neurosurgery is an effective treatment option for pharmacoresistant epilepsy. Although post-surgical seizure freedom is considered the primary goal of epilepsy surgery, other factors that impact Quality of Life (QOL) are also important to consider, including post-surgical cognitive changes. This study aimed to examine the impact of post-surgical cognitive changes on QOL in the context of seizure outcomes. METHODS: Participants were 196 adults with focal epilepsy who underwent either frontal (n = 27) or temporal (n = 169) lobe resection. Each participant completed pre- and post-surgical neuropsychological evaluations, and cognitive composites were constructed for the following domains: language, attention/processing speed, memory, executive function, and visuospatial skill. The Quality of Life in Epilepsy (QOLIE-10) questionnaire was used to assess QOL. Seizure outcome was determined by seizure status six months post-surgery. RESULTS: Eighty-one percent of patients were seizure-free post-surgery and generally reported improved QOL. While a significant portion of patient's demonstrated declines in language and verbal memory following surgery, only a decline in verbal memory was associated with worse QOL; however, this relationship was no longer significant after controlling for seizure outcome. Instead, reduced post-surgical QOL was primarily observed in those who experienced both seizure recurrence and a decline in executive function. Notably, depression was a significant covariate in all of the models. CONCLUSIONS: The findings from this study improve our ability to counsel patients about the trade-off between cognitive decline and seizure remittance in the greater context of overall QOL. Reassuringly, it appears that QOL is improved regardless of cognitive changes when patients have good seizure outcomes. However, for those that experience a "double hit" (i.e., cognitive decline without seizure remission), post-surgical QOL may be reduced. Changes in depression also appear to play a crucial role in QOL outcomes.

The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data.

BACKGROUND: Digital interventions have been shown to be effective for a variety of mental health disorders and problems. However, few studies have examined the effects of digital interventions in older adults; therefore, little is known about how older adults engage with or benefit from these interventions. Given that adoption rates for technology among people aged ≥65 years remain substantially lower than in the general population and that approximately 20% of older adults are affected by mental health disorders, research exploring whether older adults will use and benefit from digital interventions is needed. OBJECTIVE: This study aimed to examine the extent to which older adults engaged with a digital well-being intervention (Happify) and whether engaging with this program led to improvements in both subjective well-being and anxiety symptoms. METHODS: In this retrospective analysis, we analyzed data from 375 real-world Happify users aged ≥65 years who signed up for the platform between January 1, 2019, and December 23, 2021. Changes in well-being and anxiety symptoms across 42 to 182 days were assessed using responses to the in-app assessment, which users were prompted to take every 2 weeks, and were compared among users who engaged with the program at the recommended level (ie, 2 or more activities per week) or below the recommended level. RESULTS: In all, 30% (113/375) of the sample engaged with the platform at the recommended level (ie, completed an average of 2 or more activities per week), and overall, users completed an average of 43.35 (SD 87.80) activities, ranging from 1 to 786, between their first and last assessment. Users were also active on the platform for an average of 19.36 (SD 27.16) days, ranging from 1 to 152 days. Moreover, older adults who engaged at the recommended level experienced significantly greater improvements in subjective well-being (P=.002) and anxiety symptoms (P<.001) relative to those who completed fewer activities. CONCLUSIONS: These data provide preliminary evidence that older adults engage with and benefit from digital well-being interventions. We believe that these findings highlight the importance of considering older adult populations in digital health research. More research is needed to understand potential barriers to using digital interventions among older adults and whether digital interventions should be modified to account for this population's particular needs (eg, ensuring that the intervention is accessible using a variety of devices). However, these results are an important step in demonstrating the feasibility of such interventions in a population that is assumed to be less inclined toward digital approaches.

Effects of Conformity to Masculine Norms and Coping on Health Behaviors in Men With Multiple Sclerosis.

BACKGROUND: The role of conformity to masculine gender norms in health behaviors in men with multiple sclerosis (MS) has not received attention. This cross-sectional study explores these issues and their relationship to coping and health behaviors. METHODS: Eighty-one men with MS completed the Conformity to Masculine Norms Inventory-46 and the Ways of Coping Questionnaire and provided demographic and clinical variables. These results were used to predict subscale scores of the Health Behavior Inventory-20 in multivariable regression models. RESULTS: Models for the Preventive Self-care and Avoiding Anger and Stress subscales were successfully fit. For the former, respondents endorsing lower levels of masculine conformity related to Emotional Control and higher levels of Heterosexual Self-presentation predicted greater self-care, as did higher use of Positive Reappraisal as a coping strategy. For men reporting low levels of Positive Reappraisal as a coping strategy, increasing Heterosexual Self-presentation was associated with higher levels of self-care. For those with high levels of coping with Positive Reappraisals, increased Heterosexual Self-presentation was associated with modest declines in self-care. For the Avoiding Anger and Stress subscale score, men endorsing Violence or Heterosexual Self-presentation as important aspects of masculinity also reported less efforts in controlling stress and anger. CONCLUSIONS: Masculinity adherence to traditional gender norms was a significant predictor of how men engaged in health behaviors and, in the case of Preventive Self-care, was found to interact with Positive Reappraisal as a coping strategy. Such information is novel and important to providers serving male patients with MS and can improve provider awareness/conceptualization of male patient needs.

The memory assessment clinics scale for epilepsy (MAC-E): A brief measure of subjective cognitive complaints in epilepsy.

Objective: The aim of this study was to conduct item reduction of the Memory Assessment Clinics Self-Rating Scale (MAC-S) to create a briefer measure that can be used to quickly evaluate subjective memory complaints in patients with epilepsy. Method: A total of 1333 adults with focal epilepsy completed the original 49-item MAC-S. The sample was randomly split into three subsamples, and a series of analyses (i.e. exploratory factor analysis, confirmatory factor analysis, and item response theory analyses) was conducted to identify an alternative factor structure, with a reduced number of items. A panel of 5 neuropsychologists independently reviewed the final model to assess appropriateness of each individual item as well as the factor loadings and overall factor structure. Final factor titles were subsequently decided as a group. Results: Five factors were identified: Attention, Working Memory, Retrieval, Semantic Memory, and Episodic Memory. The length of the MAC-S was reduced from 49 to 30 items, with items being removed because they failed to load onto any of the factors substantially, or because of poor item discrimination or threshold levels. Conclusions: The Memory Assessment Clinics Scale for Epilepsy (MAC-E), is an updated, brief measure of subjective memory functioning that can be used to efficiently assess relevant, every-day memory abilities in patients with epilepsy within both clinical and research settings.

A Retrospective Analysis of the L3-L4 Disc and Spinopelvic Parameters on Outcomes in Thoracolumbar Fusion: Was Art Steffee Right?

OBJECTIVE: To determine whether the L3-L4 disc angle may be a surrogate marker for global lumbar alignment in thoracolumbar fusion surgery and to explore the relationship between radiographic and patient-reported outcomes after thoracolumbar fusion surgery. METHODS: Retrospective chart review was conducted on patients who had undergone a lumbar fusion involving levels from T9 to pelvis. EuroQol-Five Dimension (EQ-5D-3L) scores and adverse events including adjacent-segment disease and degeneration, pseudoarthrosis, proximal junctional kyphosis, stenosis, and reoperation were collected. Pre- and postoperative spinopelvic parameters were measured on weight-bearing radiographs, with the L3-L4 disc angle of novel interest. Univariate logistic and linear regression were performed to assess the associations of radiographic parameters with adverse event incidence and improvement in EQ-5D-3L, respectively. RESULTS: In total, 182 patients met inclusion criteria. Univariable analysis revealed that increased magnitude of L3-L4 disc angle, anterior pelvic tilt, and pelvic incidence measures are associated with increased likelihood of developing postoperative adverse events. Conversely, increased lumbar lordosis demonstrated a decreased incidence of developing a postoperative adverse event. Linear regression showed that radiographic parameters did not significantly correlate with postoperative EQ-5D-3L scores, although scores were significantly improved postfusion in all dimensions except Self-Care (P = 0.51). CONCLUSIONS: L3-L4 disc angle magnitude may serve as a surrogate marker of global lumbar alignment. The degree of spinopelvic alignment did not correlate to improvement in EQ-5D-3L score in the present study, suggesting that quality of life metric change may not be a sensitive or specific marker of postfusion alignment.

The Effects of a Digital Mental Health Intervention in Adults With Cardiovascular Disease Risk Factors: Analysis of Real-World User Data.

BACKGROUND: The American Heart Association has identified poor mental health as a key barrier to healthy behavior change for those with cardiovascular disease (CVD) risk factors such as high blood pressure, high cholesterol, and diabetes. Digital mental health interventions, like those delivered via the internet to computers or smartphones, may provide a scalable solution to improving the mental and physical health of this population. Happify is one such intervention and has demonstrated evidence of efficacy for improving aspects of mental health in both the general population and in users with chronic conditions. OBJECTIVE: The objectives of this analysis of real-world data from Happify users with self-reported CVD risk factors, including high blood pressure and cholesterol, diabetes, and heart disease, were to examine whether these users would report improvements in subjective well-being and anxiety over time (H1) and use of Happify as recommended would be associated with significantly greater improvement in subjective well-being and anxiety over time compared to less-than-recommended usage (H2). METHODS: Data were obtained from existing Happify users who reported the aforementioned CVD risk factors. The sample included 1803 users receiving at least 6 weeks' exposure to Happify (ranging from 42 days to 182 days) who completed at least one activity and two assessments within the app during that time. Subjective well-being was assessed with the Happify Scale, a 9-item measure of positive emotionality and life satisfaction, and anxiety was assessed with the Generalized Anxiety Disorder 2 (GAD-2). To evaluate H1, changes over time in both outcomes were assessed using mixed effects linear regression models, controlling for demographics and usage. For H2, an interaction term was added to the models to assess whether usage as recommended was associated with greater improvement over time. RESULTS: Both hypotheses were supported. For both the Happify scale and GAD-2, the initial multivariable model without an interaction demonstrated an effect for time from baseline, and the addition of the interaction term between time and recommended use was significant as well. CONCLUSIONS: This analysis of real-world data provides preliminary evidence that Happify users with self-reported CVD risk factors including high blood pressure or cholesterol, diabetes, and heart disease experienced improved well-being and anxiety over time and that those who used Happify as recommended experienced greater improvements in these aspects of mental health than those who completed fewer activities. These findings extend previous research, which demonstrated that engagement with Happify as recommended was associated with improved well-being among physically healthy users and in those with chronic conditions, to a new population for whom mental health is especially critical: those at risk of developing CVD.

Evidence of Stability in Patient-Reported Global Health During the COVID-19 Pandemic.

OBJECTIVES: Measures of health-related quality of life (HRQOL) are collected throughout healthcare systems and used in clinical, economic, and outcomes studies to direct patient-centered care and inform health policy. Studies have demonstrated increases in stressors unique to the COVID-19 pandemic, however, their effect on HRQOL is unknown. Our study aimed to assess the change in self-reported global health during the pandemic for patients receiving care in a large healthcare system compared with 1 year earlier. METHODS: An observational cross-sectional study of 2 periods was conducted including adult patients who had a healthcare appointment and completed the Patient-Reported Outcomes Measurement Information System Global Health (PROMIS GH) as standard care during the COVID-19 pandemic and a year earlier. The effect of time on PROMIS global mental health (GMH) and global physical health (GPH) was evaluated through multiple statistical methods. RESULTS: There were 38 037 patients (mean age 56.1 ± 16.6 years; 61% female; 87% white) who completed the PROMIS GH during the pandemic (August 2020) and 33 080 (age 56.7 ± 16.5 years; 61% female; 86% white) who had completed it 1 year earlier (August 2019). GMH was significantly worse, whereas GPH was similar during the pandemic compared with a year earlier (adjusted estimate [standard error]: -1.21 (0.08) and 0.11 (0.08) T-score points, respectively). CONCLUSIONS: Our study found modest, nonclinically meaningful decreases in GMH and similar GPH during the COVID-19 pandemic compared with a year earlier in patients cared for in a large healthcare system. Nevertheless, healthcare systems are likely seeing a biased sample of patients during these times. Findings from our study have implications for the interpretation of HRQOL during this pandemic.

Long-term continuation of anti-seizure medications after acute stroke.

OBJECTIVE: To investigate the factors associated with the long-term continuation of anti-seizure medications (ASMs) in acute stroke patients. METHODS: We performed a retrospective cohort study of stroke patients with concern for acute symptomatic seizures (ASySs) during hospitalization who subsequently visited the poststroke clinic. All patients had continuous EEG (cEEG) monitoring. We generated a multivariable logistic regression model to analyze the factors associated with the primary outcome of continued ASM use after the first poststroke clinic visit. RESULTS: A total of 507 patients (43.4% ischemic stroke, 35.7% intracerebral hemorrhage, and 20.9% aneurysmal subarachnoid hemorrhage) were included. Among them, 99 (19.5%) suffered from ASySs, 110 (21.7%) had epileptiform abnormalities (EAs) on cEEG, and 339 (66.9%) had neither. Of the 294 (58%) patients started on ASMs, 171 (33.7%) were discharged on them, and 156 (30.3% of the study population; 53.1% of patients started on ASMs) continued ASMs beyond the first poststroke clinic visit [49.7 (±31.7) days after cEEG]. After adjusting for demographical, stroke- and hospitalization-related variables, the only independent factors associated with the primary outcome were admission to the NICU [Odds ratio (OR) 0.37 (95% CI 0.15-0.9)], the presence of ASySs [OR 20.31(95% CI 9.45-48.43)], and EAs on cEEG [OR 2.26 (95% CI 1.14-4.58)]. INTERPRETATION: Almost a third of patients with poststroke ASySs concerns may continue ASMs for the long term, including more than half started on them acutely. Admission to the NICU may lower the odds, and ASySs (convulsive or electrographic) and EAs on cEEG significantly increase the odds of long-term ASM use.

Surgical candidates in children with epileptic spasms can be selected without invasive monitoring: A report of 70 cases.

OBJECTIVE: Prior surgical series in children with drug-resistant epileptic spasms have reported use of intracranial EEG monitoring in up to two-third of patients. We report outcome after epilepsy surgery for drug-resistant epileptic spasms in a cohort of children without the use of intracranial EEG monitoring in any of the patients. METHODS: Medical records of all consecutive children aged 5 years or under who had epilepsy surgery for epileptic spasms at Cleveland Clinic between 2000 and 2018 were reviewed. Post-operative seizure outcome and predictors of prognosis of seizure outcome were analyzed. RESULTS: Seventy children with active epileptic spasms underwent surgical resections during the study period. Mean age at seizure onset was 6.8 (+9.31) months and median age at surgery was 18.5 months. An epileptogenic lesion was identified on brain MRI in all patients; 17 (24%) had bilateral abnormalities. Etiologies included malformations of cortical development (58%), perinatal infarct/encephalomalacia (39%), and tumor (3%). None of the patients had intracranial EEG. Surgical procedures included hemispherectomy (44%), lobectomy/ lesionectomy (33%), and multilobar resections (23%). Twelve children needed repeat surgery; six (50%) became seizure free after the second surgery. At six months follow-up, 73% (51/70) were seizure-free since surgery. At a mean follow-up of 4.7 years, 60% (42/70) had Engel 1 outcome. In those with seizure recurrence, 17 (60%) reported improvement. Shorter epilepsy duration (p = 0.05) and lobar or sub-lobar epileptogenic lesions (p = 0.02) predicted favorable seizure outcome at 6 months after surgery. For long term outcome, patients with bilateral abnormalities on MRI (p = 0.001), and multilobar extent on MRI (p = 0.02) were at higher risk for recurrence. SIGNIFICANCE: Children with drug-resistant epileptic spasms secondary to an epileptogenic lesion detected on MRI could be selected for epilepsy surgery without undergoing intracranial EEG monitoring. A surgical selection paradigm without intracranial monitoring may allow early surgery without the risks of invasive monitoring.

Psychological distress prevalence and associated stressors and supports among urban-displaced Congolese adults in Kenya.

BACKGROUND: There is limited understanding of the prevalence of psychological distress and associated stressors and supports among displaced adults in low- and middle-income first asylum countries. METHOD: This article reports the findings of a cross-sectional study. We recruited 245 Congolese adults (18-80 years) residing in Nairobi, Kenya using snowball sampling. Data were collected using an interviewer-administered questionnaire consisting of sociodemographic characteristics, the Self-Reporting Questionnaire (SRQ-20), and a locally developed stressors and supports survey. We used multivariable logistic regression to examine associations among sociodemographic, stressor, and support variables and the likelihood of experiencing psychological distress. RESULTS: More than half of the participants (52.8%) reported symptoms indicative of psychological distress. Factors associated with increased psychological distress included perceiving to have a useful role in one's family or community, AOR = 1.85; 95% CI [1.1.17, 3.11], p = .012, feeling confused or not knowing what to do, AOR = 2.13; 95% CI [1.20, 4.6], p = .014, and feeling afraid to leave home for medical/health care to help with an illness, AOR = 1.57; 95% CI [1.17, 2.15], p < .01. Additionally, ethnic Banyamulenge Congolese adults without legal refugee status had an increased likelihood of experiencing psychological distress, AOR = .07; 95% CI [0, .74], p = .035. CONCLUSION: Future research is warranted to understand how to implement targeted mental health and psychosocial support (MHPSS) to improve urban-displaced adults' sense of safety and belonging. Our findings suggest that legal refugee status is an important structural determinant of mental health, which should be considered in MHPSS practice and policy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The validity of proxy responses on patient-reported outcome measures: Are proxies a reliable alternative to stroke patients' self-report?

PURPOSE: Caregivers, or proxies, often complete patient-reported outcome measures (PROMs) on behalf of patients with stroke. The objective of our study was to assess the validity and responsiveness of proxy-responses compared to patient-responses across multiple domains of health. METHODS: Stroke patients and their proxies were recruited to complete PROMs between 7/2018-11/2019. PROMs included Neuro-QoL cognitive function, PROMIS physical function, satisfaction with social roles, anxiety, fatigue, pain interference, sleep disturbance, Global Health, and PHQ-9. Internal consistency and convergent validity were compared between patient- and proxy-reported measures. Known-groups validity was assessed across levels of stroke disability. Internal responsiveness was evaluated using paired t-tests for a subset of patients who attended rehabilitation following stroke. Analyses were stratified by patients ≤ 3 vs > 3 months from stroke. RESULTS: This cross-sectional study included 200 stroke patients (age 62.2 ± 13.3, 41.5% female) and their proxies (age 56.5 ± 13.9, 70% female, 72% spouses). PROMs had high internal consistency and were significantly correlated for patients and proxies. Patient- and proxy-reported measures worsened with increasing stroke disability. For 34 (17%) patients who attended rehabilitation, patients self-reported improvement on 5 domains whereas proxies reported no improvement. Compared to patient self-reports, validity was worse for proxy-reports on patients ≤ 3 months but better > 3 months from stroke. CONCLUSIONS: Both patient- and proxy-reported PROMs demonstrated strong validity. Only patient-reported PROMs were responsive to change, and proxies had worse validity for patients ≤ 3 months from stroke but better validity for patients > 3 months from stroke. These findings justify the utilization of proxy responses in stroke patients > 3 months from stroke.

Satisfaction with Care and Satisfaction with Decision Making are Similar Regardless of Staffing Model in a Neurocritical Care Unit.

INTRODUCTION: Patient-centered care, particularly shared medical decision making, is difficult to measure in critically ill patients where decisions are often made by a designated surrogate, often receiving information from multiple providers with varying degrees of training. The purpose of this study was to compare short-term satisfaction with care and decision making in patients or surrogates between two neurocritical care units [one staffed by a neurocritical care attending and advanced practice providers (APPs) and one staffed by a neurocritical care attending and resident/fellow trainees] using the Family Satisfaction in the ICU (FS-ICU) survey. METHODS: Over a 6-month period, the FS-ICU was administered on a tablet device to patients or surrogates at least 24 h after admission and stored on REDCap database. RESULTS: One hundred and thirty-four patients or surrogates completed the FS-ICU. The response rates were 59.97% and 46.58% in the APP and trainee units, respectively. There were no differences in patient age, sex, ventilator days or ICU length of stay. Overall, there were no differences in satisfaction with care or perceived shared medical making between the units. Respondents who identified their relationship with the patient as "other" (not a spouse, parent, nor a sibling) were less satisfied with care. Additionally, surrogates who identified as parents of the patient were more satisfied with degree of shared medical decision making. CONCLUSION: This study showed that: (1) collecting FS-ICU in a neurocritical care unit is feasible, (2) overall there is no difference in short-term satisfaction with care or shared decision making between a NICU staffed with trainees compared to one staffed with APPs, and (3) parents of patients have a higher short-term satisfaction with degree of shared medical decision making.

Patient-reported experience with patient-reported outcome measures in adult patients seen in rheumatology clinics.

OBJECTIVES: Patient-reported outcome measures (PROMs) are increasingly utilized in the evaluation of patients with rheumatic diseases. The aim of our study was to assess the patient experience with completing PROMs within rheumatology clinics, and identify patient characteristics associated with a more positive experience. METHODS: We conducted a retrospective cross-sectional study of adult patients seen in rheumatology clinics between 1/1/2017 and 6/30/2017. Patients were included in the study if they completed at least one patient-reported experience question following completion of PROMs. Patient characteristics associated with more positive experiences were identified through multivariable proportional odds models. RESULTS: 12,597 adult patients (mean age 59 ± 15; 76% female; 84% white) completed PROMs, as well as questions on their experience completing PROMs. Patients agreed/strongly agreed that PROM questions were easy to understand (97%), useful (84%), helped their physician understand their health (78%), improved communication with their provider (78%) and improved control over their own care (70%). Predictors of better experience with PROMs included being younger, non-white, having lower income, and being a new patient. Worse self-reported health also predicted better experience with PROMs. CONCLUSION: Our study found a positive patient experience with PROMs, which is a crucial component of their successful implementation and utilization. Findings from this study suggest PROMs may be particularly beneficial in new patients, minorities, those with lower income, and worse self-reported quality of life. Collecting PROMs could provide opportunities to improve patient-provider communication and enhance control over care for rheumatology patients who could most benefit.

The influence of collecting patient-reported outcome measures on visit satisfaction in rheumatology clinics.

OBJECTIVES: Patient-reported outcome measures (PROMs) can direct patient-centred care and increase patient satisfaction with the visit. The objective of this study was to assess the relationship between the collection of PROMs and visit satisfaction, as measured by the Clinician and Group Practice Consumer Assessment of Healthcare Providers and Systems (CG-CAHPS) survey. METHODS: An electronic platform for collection of patient-reported information was implemented in rheumatology clinics between August and September 2016. Adult patients were included in the study if they completed CG-CAHPS after an ambulatory visit. The pre-implementation cohort consisted of patients seen between January and June 2016; the post-implementation cohort consisted of patients seen between January and June 2017. The CG-CAHPS scores were compared between cohorts. Mixed effect models were constructed to identify predictors of visit satisfaction. RESULTS: Characteristics were similar between the 2117 pre- and 2380 post-implementation patients. Visit satisfaction was high in both cohorts but did not differ [odds ratio = 0.97 (95% CI: 0.79, 1.19)]. Predictors of improved satisfaction included being an established patient, being male, older age and reporting higher quality of life. However, sensitivity analyses in the post-implementation cohort suggested that implementing PROMs might convey benefits for new patients, in particular. CONCLUSION: Collection of PROMs had no effect on visit satisfaction in rheumatology clinics, although there might be benefits for new patients. These largely null findings might be attributable to high satisfaction levels in our cohorts or to lack of provider review of PROM data with patients. Further research is indicated to determine the impact of provider communication of PROM results to patients on different domains of visit satisfaction.

The Effects of a Digital Well-Being Intervention on Patients With Chronic Conditions: Observational Study.

BACKGROUND: Chronic conditions account for 75% of health care costs, and the impact of chronic illness is expected to grow over time. Although subjective well-being predicts better health outcomes, people with chronic conditions tend to report lower well-being. Improving well-being might mitigate costs associated with chronic illness; however, existing interventions can be difficult to access and draw from a single theoretical approach. Happify, a digital well-being intervention program drawing from multiple theoretical traditions to target well-being, has already been established as an efficacious means of improving well-being in both distressed and nondistressed users. OBJECTIVE: This study aimed to compare change in well-being over time after using Happify for users with and without a chronic condition. METHODS: Data were obtained from Happify users, a publicly available digital well-being program accessible via website or mobile phone app. Users work on tracks addressing a specific issue (eg, conquering negative thoughts) composed of games and activities based on positive psychology, cognitive behavioral therapy, and mindfulness principles. The sample included 821 users receiving at least 6 weeks' exposure to Happify (ranging from 42 to 179 days) who met other inclusion criteria. As part of a baseline questionnaire, respondents reported demographic information (age and gender) and whether they had any of the prespecified chronic conditions: arthritis, diabetes, insomnia, multiple sclerosis, chronic pain, psoriasis, eczema, or some other condition (450 reported a chronic condition, whereas 371 did not). Subjective well-being was assessed with the Happify Scale, a 9-item measure of positive emotionality and life satisfaction. To evaluate changes in well-being over time, a mixed effects linear regression model was fit for subjective well-being, controlling for demographics and platform usage. RESULTS: At baseline, users with a chronic condition had significantly lower subjective well-being (mean 38.34, SD 17.40) than users without a chronic condition (mean 43.65, SD 19.13). However, change trajectories for users with or without a chronic condition were not significantly different; both groups experienced equivalent improvements in well-being. We also found an effect for time from baseline (b=0.071; SE=0.010; P<.01) and number of activities completed (b=0.03; SE=0.009; P<.01), and a 2-way interaction between number of activities completed and time from baseline (b=0.0002; SE=0.00006; P<.01), such that completing more activities and doing so over increasingly longer periods produced improved well-being scores. CONCLUSIONS: Data from this study support the conclusion that users with a chronic condition experienced significant improvement over time. Despite reporting lower subjective well-being on the whole, their change trajectory while using Happify was equivalent to those without a chronic condition. Consistent with past research, users who completed more activities over a longer period showed the most improvement. In short, the presence of a chronic condition did not prevent users from showing improved well-being when using Happify.

PROMIS Global Health item nonresponse: is it better to impute missing item responses before computing T-scores?

PURPOSE: Item response theory (IRT) scoring provides T-scores for physical and mental health subscales on the Patient-Reported Outcomes Measurement Information System Global Health questionnaire (PROMIS-GH) even when relevant items are skipped. We compared different item- and score-level imputation methods for estimating T-scores to the current scoring method. METHODS: Missing PROMIS-GH items were simulated using a dataset of complete PROMIS-GH scales collected at a single tertiary care center. Four methods were used to estimate T-scores with missing item scores: (1) IRT-based scoring of available items (IRTavail), (2) item-level imputation using predictive mean matching (PMM), (3) item-level imputation using proportional odds logistic regression (POLR), and (4) T-score-level imputation (IMPdirect). Performance was assessed using root mean squared error (RMSE) and mean absolute error (MAE) of T-scores and comparing estimated regression coefficients from the four methods to the complete data model. Different proportions of missingness and sample sizes were examined. RESULTS: IRTavail had lowest RMSE and MAE for mental health T-scores while PMM had lowest RMSE and MAE for physical health T-scores. For both physical and mental health T-scores, regression coefficients estimated from imputation methods were closer to those of the complete data model. CONCLUSIONS: The available item scoring method produced more accurate PROMIS-GH mental but less accurate physical T-scores, compared to imputation methods. Using item-level imputation strategies may result in regression coefficient estimates closer to those of the complete data model when nonresponse rate is high. The choice of method may depend on the application, sample size, and amount of missingness.

Identifying individual differences in adolescent neuropsychological function using the NIH Toolbox: An application of partially ordered classification modeling.

OBJECTIVE: The Cognition Battery of the National Institutes of Heath Toolbox is a commonly utilized set of assessments of neuropsychological abilities, evaluating executive function, attention, working memory, processing speed, and episodic memory. We highlight the utility of an advanced statistical model in providing nuanced characterization of neurocognition in an adolescent population. We propose that partially ordered set (POSET) models are well suited to analyze polyfactorial tasks and identify distinct profiles of cognitive functioning. METHOD: Two models were considered using POSET classification. The first modeled 5 distinct cognitive functions and allowed for multiple functions to contribute to task performance. The second simpler model involved only 2 broader-based functions without polyfactorial task specifications. Existing performance data from 745 adolescents aged 14-17 years were analyzed. Posterior probabilities of classification performance and the discriminatory properties of the estimated response distributions indicated how well the modeling approaches fit the data. RESULTS: The larger first model resulted in 8 profiles or states characterized by combinations of high or low functioning in 5 distinct functions. The simpler second model involved 2 broader-based functions that resulted in 4 states. Comparing model fit criteria, we believe that the finer-grained first model may better reflect the cognitive constructs associated with the tasks. Notably, POSET modeling did not always provide adequate classification of working memory because of the limited design of the Cognition Battery. CONCLUSIONS: We demonstrate that the use of POSET models is a feasible approach for detailed analysis of neurocognitive data that can extract information on cognitive functions, even when provided with limited task batteries. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Association Between Patient Experience With Patient-Reported Outcome Measurements and Overall Satisfaction With Care in Neurology.

BACKGROUND: There has been increasing focus on both patient-reported outcome measurement (PROM) collection and patient satisfaction ratings; nevertheless, little is known about their relationship. OBJECTIVES: To determine the association between patient experience with PROM collection and visit satisfaction and to identify characteristics of better ratings for each. METHODS: This cross-sectional observational study included all patients seen in 15 neurological clinics who completed PROMs as well as 6 questions on the patient experience with PROMs at least once from October 1, 2015 to December 31, 2016. Visit satisfaction was evaluated using a composite measure of physician communication, overall physician rating, and the likelihood of recommending that physician as indicated on the Clinician and Group Consumer Assessment of Healthcare Providers and Systems survey. Predictors of PROM experience and satisfaction were identified using proportional odds and logistic regression models, respectively. RESULTS: There were 6454 patients (average age 58 ± 15 years, 59% women) who completed PROMs and responded to the Clinician and Group Consumer Assessment of Healthcare Providers and Systems survey. There were significant positive associations between each PROM experience question and visit satisfaction (r = 0.11-0.19; P<.010), although factors predicting visit satisfaction differed from those predicting PROM experience. A differential effect of PROMs on visit satisfaction was identified for patients who were nonwhite, had lower income, and had more comorbidities. CONCLUSIONS: Although there was a significant association between better PROM experience and higher visit satisfaction, relationships with clinical characteristics differed, providing insights into how PROMs may be associated with patients' visit satisfaction. Further research is necessary to confirm whether PROMs can be used to improve visit satisfaction, particularly in patients who historically have reported lower quality of care.