Persistent MRI Findings Unique to Blast and Repetitive Mild TBI: Analysis of the CENC/LIMBIC Cohort Injury Characteristics.

INTRODUCTION: MRI represents one of the clinical tools at the forefront of research efforts aimed at identifying diagnostic and prognostic biomarkers following traumatic brain injury (TBI). Both volumetric and diffusion MRI findings in mild TBI (mTBI) are mixed, making the findings difficult to interpret. As such, additional research is needed to continue to elucidate the relationship between the clinical features of mTBI and quantitative MRI measurements. MATERIAL AND METHODS: Volumetric and diffusion imaging data in a sample of 976 veterans and service members from the Chronic Effects of Neurotrauma Consortium and now the Long-Term Impact of Military-Relevant Brain Injury Consortium observational study of the late effects of mTBI in combat with and without a history of mTBI were examined. A series of regression models with link functions appropriate for the model outcome were used to evaluate the relationships among imaging measures and clinical features of mTBI. Each model included acquisition site, participant sex, and age as covariates. Separate regression models were fit for each region of interest where said region was a predictor. RESULTS: After controlling for multiple comparisons, no significant main effect was noted for comparisons between veterans and service members with and without a history of mTBI. However, blast-related mTBI were associated with volumetric reductions of several subregions of the corpus callosum compared to non-blast-related mTBI. Several volumetric (i.e., hippocampal subfields, etc.) and diffusion (i.e., corona radiata, superior longitudinal fasciculus, etc.) MRI findings were noted to be associated with an increased number of repetitive mTBIs versus. CONCLUSIONS: In deployment-related mTBI, significant findings in this cohort were only observed when considering mTBI sub-groups (blast mechanism and total number/dose). Simply comparing healthy controls and those with a positive mTBI history is likely an oversimplification that may lead to non-significant findings, even in consortium analyses.

Disparities in Provider Ordering Practices of Image-Guided Interventions and Surgery for Patients With Low Back Pain: A Cohort Study.

OBJECTIVE: To assess individual- and neighborhood-level sociodemographic factors associating with providers' ordering of nonpharmacologic treatments for patients with low back pain (LBP), specifically physical therapy, image-guided interventions, and lumbar surgery. METHODS: Our cohort included all patients diagnosed with LBP from 2000 to 2017 in a statewide database of all hospitals and ambulatory surgical facilities within Utah. We compared sociodemographic and clinical characteristics of (1) patients with LBP who received any treatment with those who received none and (2) patients with LBP who received invasive LBP treatments with those who only received noninvasive LBP treatments using the Student's t test, Wilcoxon's rank-sum tests, and Pearson's χ2 tests, as applicable, and two separate multivariate logistic regression models: (1) to determine whether sociodemographic characteristics were risk factors for receiving any LBP treatments and (2) risk factors for receiving invasive LBP treatments. RESULTS: Individuals in the most disadvantaged neighborhoods were less likely to receive any nonpharmacologic treatment orders (odds ratio [OR] 0.74 for most disadvantaged, P < .001) and received fewer invasive therapies (0.92, P = .018). Individual-level characteristics correlating with lower rates of treatment orders were female sex, Native Hawaiian or other Pacific Islander race (OR 0.50, P < .001), Hispanic ethnicity (OR 0.77, P < .001), single or unmarried status (OR 0.69, P < .001), and no insurance or self-pay (OR 0.07, P < .001). CONCLUSION: Neighborhood and individual sociodemographic variables associated with treatment orders for LBP with Area Deprivation Index, sex, race or ethnicity, insurance, and marital status associating with receipt of any treatment, as well as more invasive image-guided interventions and surgery.

Role of Deployment History on the Association Between Epilepsy and Traumatic Brain Injury in Post-9/11 Era US Veterans.

BACKGROUND AND OBJECTIVES: Traumatic brain injury (TBI) is a well-established epilepsy risk factor and is common among service members. Deployment-related TBI, where combat/blast may be more common, may have different outcomes than nondeployment-related TBI. This work examined associations of all TBI exposures (not just combat), and epilepsy, while adjusting for comorbidities associated with epilepsy, among veterans by deployment status. METHODS: The cohort included post-9/11 veterans with ≥2 years of care in both Veterans Health Administration and Defense Health Agency systems. We identified epilepsy using ICD-9/10-CM codes, antiseizure medication, and service-connected disability for epilepsy. We conducted a logistic regression model with interaction terms for conditions by deployment history that adjusted for demographics and military characteristics. RESULTS: The cohort (n = 938,890) included post-9/11 veterans of whom 27,436 (2.92%) had epilepsy. Most veterans had a history of deployment (70.64%), referred to as "deployed." Epilepsy was more common among veterans who were never deployed ("nondeployed") (3.85% vs 2.54%). Deployed veterans were more likely to have had TBI, compared with the nondeployed veterans (33.94% vs 14.24%), but nondeployed veterans with moderate/severe TBI had higher odds of epilepsy compared with deployed veterans (adjusted odds ratio [aOR] 2.92, 95% CI 2.68-3.17 vs aOR 2.01, 95% CI 1.91-2.11). Penetrating TBI had higher odds of epilepsy among the deployed veterans (aOR 5.33, 95% CI 4.89-5.81), whereas the odds of epilepsy for mild TBI did not significantly differ by deployment status. Although most neurologic conditions were more prevalent among the nondeployed veterans, they were often associated with higher odds of epilepsy in the deployed veterans. DISCUSSION: Deployment history had a significant differential impact on epilepsy predictors. As expected, penetrating TBI had a greater epilepsy impact among deployed veterans perhaps due to combat/blast. Some epilepsy predictors (moderate/severe TBI, multiple sclerosis, and Parkinson disease) had a stronger association in the nondeployed veterans suggesting a potential healthy warrior effect in which such conditions preclude deployment. Other neurologic conditions (e.g., brain tumor, Alzheimer disease/frontotemporal dementia) had a greater epilepsy impact in the deployed veterans. This may be attributable to deployment-related exposures (combat injury, occupational exposures). A better understanding of deployment effects is critical to provide targeted epilepsy prevention in veterans and military service members.

Skin-Related Quality of Life During Autoimmune Bullous Disease Course.

Importance: Autoimmune bullous diseases (AIBDs) are chronic relapsing-remitting conditions with significant morbidity. Skin-related quality of life (SRQL) may vary by AIBD subtype and disease type. Disease severity and flare severity can be difficult to define; SRQL can offer a key insight. Objectives: To investigate the Skindex-16 score as an SRQL measure in AIBD subtypes during flare and nonflare states and to evaluate Skindex-16 construct validity. Design, Setting, and Participants: This retrospective cross-sectional study was conducted from September 1, 2016, to February 1, 2020, among 192 patients at the University of Utah Health autoimmune dermatology clinic with pemphigoid, pemphigus, dermatitis herpetiformis, and linear immunoglobulin A disease. Patients had an encounter-associated diagnosis, Skindex-16 scores, and self-reported flare status. Statistical analysis was performed from March 2022 to June 2023. Exposure: Autoimmune bullous disease subtype and patient-reported flare status. Main Outcomes and Measures: Skindex-16 domain scores (emotions, symptoms, and functioning; range, 0-100, where 0 indicates no effect on SRQL and 100 maximum effect) and individual item scores were described by disease and flare status. Flare scores were expected to be higher by at least the standard error of measurement (SEm). Convergent validity was assessed using Spearman correlation among Skindex-16 scores, serologic titers, and other patient-reported outcome measures. Floor or ceiling domain scores (<20% of sample scoring either lowest or highest possible domain scores, respectively) were assessed for Skindex-16. Structural validity was assessed using confirmatory factor analysis (CFA). Results: The study included 192 patients with 212 visits (median age, 68 years [IQR, 58-76 years]; 123 of 212 women [58.0%]) with Skindex-16 scores (64 in flare state and 148 in nonflare state). Median Skindex-16 domain scores were higher for all disease categories among patients in the flare state compared with those in the nonflare state (pemphigoid [emotions: flare, 52.4 (IQR, 38.1-69.0); nonflare, 7 (IQR, 0-17); symptoms: flare, 37.5 (IQR, 29.2-58.0); nonflare, 13 (IQR, 0-25); functioning: flare, 26.7 (IQR, 10.0-56.7); nonflare, 0 (IQR, 0-3)]; pemphigus [emotions: flare, 54.8 (IQR, 31.0-81.0; nonflare, 0 (IQR, 0-19); symptoms: flare, 58.3 (IQR, 41.7-70.8); nonflare, 4 (IQR, 0-12.5); functioning: flare, 26.7 (IQR, 13.3-83.3); nonflare, 0 (IQR, 0-3.33)]; dermatitis herpetiformis [emotions: flare, 72.6 (IQR, 34.7-90.5); nonflare, 14.3 (IQR, 2.4-26.2); symptoms: flare, 69 (IQR, 31.3-85.4); nonflare, 12.5 (IQR, 0-29.2); functioning: flare, 38.3 (IQR, 5.0-63.2); nonflare, 0 (IQR, 0-13.3)]. This difference exceeded SEm cut points. Cronbach α was greater than 0.80 for all domains and AIBDs. Moderate or low correlations were seen with desmoglein 1 and bullous pemphigoid 180 titers. Moderate correlation existed between Skindex-16 and Patient-Reported Outcomes Measurement Information System Depression scores (emotions: ρ = 0.40; symptoms: ρ = 0.41; functioning: ρ = 0.48), and strong correlation existed between Skindex-16 and patient-reported disease severity (emotions: ρ = 0.71; symptoms: ρ = 0.73; functioning: ρ = 0.66). Floor domain scores greater than 20% were seen among patients in the nonflare state, but ceiling domain scores were rare (<10% for all domains); CFA model fit was poor. Conclusions and Relevance: In this cross-sectional study, SRQL was highly associated with flare of AIBDs. Skin-related quality of life was worse during periods without flare among patients with pemphigoid and dermatitis herpetiformis compared with pemphigus, highlighting residual SRQL morbidity. Skindex-16 showed good construct validity, but the poor CFA model fit needs further research. Clinical measurement of SRQL in AIBDs can add critical disease-severity information.

Examining the role of race and quality of home health agencies in delayed initiation of home health services for individuals with Alzheimer's disease and related dementias (ADRD).

INTRODUCTION: We examined differences in the timeliness of the initiation of home health care by race and the quality of home health agencies (HHA) among patients with Alzheimer's disease and related dementias (ADRD). METHODS: Medicare claims and home health assessment data were used for the study cohort: individuals aged ≥65 years with ADRD, and discharged from the hospital. Home health latency was defined as patients receiving home health care after 2 days following hospital discharge. RESULTS: Of 251,887 patients with ADRD, 57% received home health within 2 days following hospital discharge. Black patients were significantly more likely to experience home health latency (odds ratio [OR] = 1.15, 95% confidence interval [CI] = 1.11-1.19) compared to White patients. Home health latency was significantly higher for Black patients in low-rating HHA (OR = 1.29, 95% CI = 1.22-1.37) compared to White patients in high-rating HHA. DISCUSSION: Black patients are more likely to experience a delay in home health care initiation than White patients.

Traumatic Brain Injury Intensive Evaluation and Treatment Program: Protocol for a Partnered Evaluation Initiative Mixed Methods Study.

BACKGROUND: The traumatic brain injury (TBI) Intensive Evaluation and Treatment Program (IETP) is an innovative modality for delivering evidence-based treatments in a residential, inpatient format to special operational forces service members and veterans with mild TBI. IETPs provide bundled evidence-based assessment, treatment, referral, and case management in concordance with the existing guidelines for mild TBI and commonly co-occurring comorbidities. To date, there has been no formal characterization or evaluation of the IETP to understand the determinants of implementation across the system of care. The goal of our partnered evaluation initiative (PEI) with an operational partner, the Physical Medicine and Rehabilitation National Program Office, is to facilitate the full implementation of the IETP across all 5 Veterans Health Administration TBI-Centers of Excellence (TBI-COE) and to inform minimum standards while supporting the unique characteristics of each site. OBJECTIVE: This IETP partnered evaluation will describe each of the 5 TBI-COE IETP services and state of implementation to identify opportunities for adaptation and scale, characterize the relationship between patient characteristics and clinical services received, evaluate the outcomes for participants in the IETP, and inform ongoing implementation and knowledge translation efforts to support IETP expansion. In alignment with the goals of the protocol, ineffective treatment components will be targeted for deimplementation. METHODS: A 3-year concurrent mixed methods evaluation using a participatory approach in collaboration with the operational partner and TBI-COE site leadership will be conducted. Qualitative observations, semistructured focus groups, and interviewing methods will be used to describe IETP, stakeholder experiences and needs, and suggestions for IETP implementation. Quantitative methods will include primary data collection from patients in the IETP at each site to characterize long-term outcomes and patient satisfaction with treatment and secondary data collection to quantitatively characterize patient-level and care system-level data. Finally, data sets will be triangulated to share data findings with partners to inform ongoing implementation efforts. RESULTS: Data collection began in December 2021 and is currently ongoing. The results and deliverables will inform IETP characterization, evaluation, implementation, and knowledge translation. CONCLUSIONS: The results of this evaluation seek to provide an understanding of the determinants affecting the implementation of IETPs. Service member, staff, and stakeholder insights will inform the state of implementation at each site, and quantitative measures will provide options for standardized outcome measures. This evaluation is expected to inform national Physical Medicine and Rehabilitation Office policies and processes and knowledge translation efforts to improve and expand the IETP. Future work may include cost evaluations and rigorous research, such as randomized controlled trials. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44776.

Validation of the Utah Photophobia Symptom Impact Scale (version 2) as a headache-specific photophobia assessment tool.

OBJECTIVE: To present an updated version of the Utah Photophobia Symptom Impact Scale version 2 (UPSIS2), providing robust clinical and psychometric validation, to improve headache-specific evaluation of light sensitivity and headache-related photophobia. BACKGROUND: The original UPSIS filled a gap in available tools for assessment of headache-associated light sensitivity by providing patient-reported evaluation of the impact of light sensitivity on activities of daily living (ADLs). We have since revised the original questionnaire to provide a more robust item construct and refined validation approach. METHODS: We conducted a psychometric validation of the UPSIS2 through a primary analysis of an online survey of volunteers with recurrent headaches recruited from the University of Utah clinics and surrounding community. Volunteers completed the original UPSIS and UPSIS2 questionnaire versions in addition to measures of headache impact, disability, and frequency. The UPSIS2 now includes a pre-defined recall period and a 1-4 Likert scale with standardized response anchors to improve clarity. Internal construct validity, external construct validity, and test-retest reliability, were evaluated. RESULTS: Responses were obtained from 163 volunteers, with UPSIS2 scores ranging from 15 to 57 (out of a possible 15-60) with a mean (standard deviation) of 32.4 (8.80). Construct validity was satisfactory, as evidenced by sufficient unidimensionality, monotonicity, and local independence. Reliability was excellent, with Rasch test reliability = 0.90 and Cronbach's alpha = 0.92, and an intraclass correlation of 0.79 (95% confidence interval 0.65-0.88) for participants who took the test twice. UPSIS2 correlates well with other headache measures (Spearman's correlations >0.50), as well as the original UPSIS (Spearman's correlation = 0.87), indicating good convergent validity. UPSIS2 scores differ significantly across International Classification of Headache Disorders (third edition) groups, indicating good known group validity. CONCLUSION: The UPSIS2 provides a well-validated headache-specific outcome measure for the assessment of photophobia impact on ADLs.

Patient-Reported Outcome Measures and Their Clinical Applications in Dermatology.

With more disease- and symptom-specific measures available and research pointing to increased usefulness, patient-reported outcome measures (PROMs) can be routinely used in clinical care. PROMs increase efficiency in healthcare, improve the clinician-patient relationship, and increase patient satisfaction with their care. PROMs can be administered before, during, and after clinic visits using paper-and-pencil, mobile phones, tablets, and computers. Herein, we combine available literature with expert views to discuss overcoming barriers and helping dermatologists incorporate PROMs into routine patient-centered care. We believe dermatology patients will benefit from broader PROM implementation and routine clinical use. However, a few major barriers exist: (1) cost to implement the technology, (2) selecting the right PROMs for each disease, and (3) helping both patients and clinicians understand how PROMs add to and complement their current clinical experience. We provide recommendations to assist dermatologists when considering whether to implement PROMs in their practices.

Delusions and Hallucinations Are Associated With Greater Severity of Delirium.

BACKGROUND: The 3 core domains of delirium (cognitive, higher level thinking, circadian) do not include the less common noncore psychotic symptoms. However, psychosis might inform about perturbations of neural circuitry, outcomes, or suggest tailored clinical management. OBJECTIVE: We assessed relationships between psychosis and other characteristics of delirium in patients without dementia or antipsychotics treatment. METHODS: Cross-sectional analysis of 366 adults with delirium per the Delirium Rating Scale Revised-98, whose items distinguish hallucinations and delusions from other types of misperceptions and abnormal thought content, assessed during the preceding 24 hours to capture symptom severity fluctuation. The relationship of psychosis with other delirium characteristics was assessed using bivariate comparisons and analysis of variance as appropriate for groups with no psychosis and any psychosis (hallucinations and/or delusions), and subgroups with only hallucinations, only delusions, or both. A discriminant logistic model assessed variables associated with presence of any psychotic features versus none. RESULTS: Delirium with any psychotic features occurred in 44.5% (163 of 366). Of the 366, 119 (32.5%) had only hallucinations (Hall), 14 (3.8%) had only delusions (Del), and 30 (8.2%) had both (Both). In the psychotic group (n = 163), 73.0% were Hall, 8.6% Del, and 18.4% Both. All psychotic patient groupings had significantly greater delirium severity on the Delirium Rating Scale Revised-98. Delusions and hallucinations were discordant for occurring together. The discriminant model found increased odds of having psychosis as 3 symptom severities increased (visuospatial ability, thought process, and sleep-wake cycle) where these each represented a delirium core domain. The noncore symptom of lability of affect had high odds ratio for psychosis, while motor retardation reduced odds of psychosis in this model. CONCLUSIONS: Consistent with prior reports, psychosis occurred in less than half of delirious patients with delusions being infrequent, and an association with affective lability was found. Given that previous functional magnetic resonance imaging research found a correlation between neural network dysconnectivity with greater severity of delirium, psychotic symptoms might be a clinical marker for greater underlying cerebral cortical neural circuitry dysfunction.

Evolving availability and standardization of patient attributes for matching.

Variation in availability, format, and standardization of patient attributes across health care organizations impacts patient-matching performance. We report on the changing nature of patient-matching features available from 2010-2020 across diverse care settings. We asked 38 health care provider organizations about their current patient attribute data-collection practices. All sites collected name, date of birth (DOB), address, and phone number. Name, DOB, current address, social security number (SSN), sex, and phone number were most commonly used for cross-provider patient matching. Electronic health record queries for a subset of 20 participating sites revealed that DOB, first name, last name, city, and postal codes were highly available (>90%) across health care organizations and time. SSN declined slightly in the last years of the study period. Birth sex, gender identity, language, country full name, country abbreviation, health insurance number, ethnicity, cell phone number, email address, and weight increased over 50% from 2010 to 2020. Understanding the wide variation in available patient attributes across care settings in the United States can guide selection and standardization efforts for improved patient matching in the United States.

Illustration of Continuous Enrollment and Beneficiary Categorization in DoD and VA Infrastructure for Clinical Intelligence.

INTRODUCTION: The DoD and VA Infrastructure for Clinical Intelligence (DaVINCI) data-sharing initiative has bridged the gap between DoD and VA data. DaVINCI utilizes the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to map DoD and VA-specific health care codes to a standardized terminology. Although OMOP CDM provides a standardized longitudinal view of health care concepts, it fails in capturing multiple and changing relationships beneficiaries have with DoD and VA as it has a static (vs. yearly) person characteristic table. Furthermore, DoD and VA utilize different policies and terminology to identify their respective beneficiaries, which makes it difficult to track patients longitudinally. The primary purpose of this report is to provide a methodology for categorizing beneficiaries and creating continuous longitudinal patient records to maximize the use of the joint DoD and VA data in DaVINCI. MATERIALS AND METHODS: For calendar year 2000-2020, we combined DoD and VA OMOP CDM and source databases to uniquely categorize beneficiaries into the following hierarchical groups: Active Duty, Guard, and Reserve Service Members (ADSMs); Separatees; Retirees; Veterans; and Deceased. Once the cohorts were identified, we examined calendar year 2020 health care utilization data using the OMOP VISIT_OCCURRENCE, DRUG_EXPOSURE, MEASUREMENT, and PROCEDURE tables. We also used the Defense Enrollment and Eligibility Reporting System source table to derive enrollment periods for DoD beneficiaries. As VA does not have enrollment plans, we utilized the VA's priority groups (1-5) in the SPATIENT source table to crosswalk the DoD's enrollment concept to the VA. We then assessed lengths of continuous enrollments in DoD and VA and the impact of appending the longitudinal records together. RESULTS: The majority of the ADSMs utilized the DoD system, but about 60,557 (3%) were seen in the VA for varied types of care. The market share of care provided to ADSMs by the VA varied by specialty and location. For Retirees, the split between DoD (1,625,874 [75%]) and VA (895,992 [41%]) health care utilization was more significant. The value added for utilizing DaVINCI in longitudinal studies was the highest for researchers normally limited to DoD data only. For beneficiaries who had 5 years of continuous enrollment, DaVINCI increased the potential study population by over 202% compared to using DoD data alone and by over 14% compared to VA data alone. Among beneficiaries with 20 years of continuous enrollment, DaVINCI increased the potential study population by over 133% compared to DoD data and by nearly 39% compared to VA data. CONCLUSIONS: DaVINCI has successfully combined DoD and VA data and utilized OMOP CDM to standardize health care concepts. However, to fully maximize the potential of DaVINCI's DoD and VA OMOP databases, researchers must uniquely categorize the DaVINCI cohort and build longitudinal patient records across DoD and VA. Because of the low other health insurance rates among DoD enrollees and their choice to enroll to a DoD Primary Care Manager, we believe this population to be the least censored in the DoD. Applying a similar concept through VA's priority groups (1-5) would enable researchers to follow ADSMs as they transition from the military.

Clinical features of dementia cases ascertained by ICD coding in LIMBIC-CENC multicenter study of mild traumatic brain injury.

OBJECTIVE: Describe dementia cases identified through International Classification of Diseases (ICD) coding in the Long-term Impact of Military-relevant Brain Injury Consortium - Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) multicenter prospective longitudinal study (PLS) of mild traumatic brain injury (mTBI). DESIGN: Descriptive case series using cross-sectional data. METHODS: Veterans Affairs (VA) health system data including ICD codes were obtained for 1563 PLS participants through the VA Informatics and Computing Infrastructure (VINCI). Demographic, injury, and clinical characteristics of Dementia positive and negative cases are described. RESULTS: Five cases of dementia were identified, all under 65 years old. The dementia cases all had a history of blast-related mTBI and all had self-reported functional problems and four had PTSD symptomatology at the clinical disorder range. Cognitive testing revealed some deficits especially in the visual memory and verbal learning and memory domains, and that two of the cases might be false positives. CONCLUSIONS: ICD codes for early dementia in the VA system have specificity concerns, but could be indicative of cognitive performance and self-reported cognitive function. Further research is needed to better determine links to blast exposure, blast-related mTBI, and PTSD to early dementia in the military population.

Measuring the Sexual Acceptability of Contraception: Psychometric Examination and Development of a Valid and Reliable Prospective Instrument.

BACKGROUND: People's sexual experiences have a strong association with contraceptive satisfaction and continuation, but no measures exist to specifically assess contraceptive-related sexual acceptability. AIM: This study developed and examined the psychometric properties of reliability, separation, and item fit of a new Contraceptive Sexual Acceptability (CSA) instrument. METHODS: Enrolled participants initiating a new contraceptive method from the HER Salt Lake longitudinal cohort study contributed baseline survey responses for scale development. The study included the Female Sexual Function Index, the New Sexual Satisfaction Scale, measures of physical and mood-related side effects, and self-reported perceptions of contraception's sexual impacts. Items from these measures' served as the basis for analyses. We analyzed responses using descriptive techniques and modeled using exploratory factor (EFA) and bifactor analyses (BFA). The Masters' Partial Credit Rasch method modeled reliability, separation, and item fit statistics. Here we evaluate (i) the reproducibility of relative measure location on the modeled linear latent variable, (ii) the number of statistically unique performance levels that can be distinguished by the measure, and (iii) the discrepancy between item responses and expectations of the model. Psychometric findings and theoretical models informed item reduction and final scale development. OUTCOMES: We developed a 10-item Contraceptive Sexual Acceptability scale that exceeded the thresholds and sufficiently covered domains for use in contraceptive research and clinical settings. RESULTS: Starting with data on 39-items from 4,387 individuals, we identified 10-items that best measured the CSA latent construct. The Rasch model included a total of 5 calibrations. We reduced items based on bifactor analysis and surpassed unidimensionality thresholds (OH = 0.84, ECV = 0.74) set a priori. The final items included questions with scaled responses about pleasure and orgasm (orgasm quality, orgasm frequency, giving partner pleasure), physical (arousal and function) and psychological (emotional connection, surrender) components, general questions of satisfaction and frequency, and a measure of perceived impact of contraception on sexual experiences in the previous 4 weeks. CLINICAL IMPLICATIONS: The 10-item CSA instrument covers physical and psychological aspects of contraceptive sexual acceptability and can be used in clinical settings. STRENGTHS & LIMITATIONS: The unidimensional CSA instrument offers a brief, yet comprehensive assessment of sexual acceptability. Given the limited diversity of the sample, implementation of this scale in contraceptive research and clinical interactions should be evaluated and validated in more diverse settings. CONCLUSION: Attuning to sexual acceptability could ultimately help contraceptive clients find methods that better meet their needs and preferences. Sanders JN, Kean J, Zhang C, et al. Measuring the Sexual Acceptability of Contraception: Psychometric Examination and Development of a Valid and Reliable Prospective Instrument. J Sex Med 2022;19:507-520.

Key Data Elements for Longitudinal Tracking of Physical Function: A Modified Delphi Consensus Study.

OBJECTIVE: Physical function is associated with important outcomes, yet there is often a lack of continuity in routine assessment. The purpose of this study was to determine data elements and instruments for longitudinal measurement of physical function in routine care among patients transitioning from acute care hospital setting to home with home health care. METHODS: A 4-round modified Delphi process was conducted with 13 participants with expertise in physical therapy, health care administration, health services research, physiatry/medicine, and health informatics. Three anonymous rounds identified important and feasible data elements. A fourth in-person round finalized the recommended list of individual data elements. Next, 2 focus groups independently provided additional perspectives from other stakeholders. RESULTS: Response rates were 100% for online rounds 1, 3, and 4 and 92% for round 2. In round 1, 9 domains were identified: physical function, participation, adverse events, behavioral/emotional health, social support, cognition, complexity of illness/disease burden, health care utilization, and demographics. Following the fourth round, 27 individual data elements were recommended. Of these, 20 (74%) are "administrative" and available from most hospital electronic medical records. Additional focus groups confirmed these selections and provided input on standardizing collection methods. A website has been developed to share these results and invite other health care systems to participate in future data sharing of these identified data elements. CONCLUSION: A modified Delphi consensus process was used to identify critical data elements to track changes in patient physical function in routine care as they transition from acute hospital to home with home health. IMPACT: Expert consensus on comprehensive and feasible measurement of physical function in routine care provides health care professionals and institutions with guidance in establishing discrete medical records data that can improve patient care, discharge decisions, and future research.

Patients' and caregivers' perspectives on healthcare navigation in Central Indiana, USA after brain injury.

Little research has documented the experiences of patients with traumatic brain injury (TBI) and their caregivers in navigating health systems for TBI care. In this qualitative study, we conducted semi-structured interviews with 62 participants (34 patients with moderate or severe TBI and 28 caregivers) from Central Indiana. Data were collected from January to September 2016 and analysed using a constructivist grounded theory approach. Participants discussed three significant challenges about navigating health services for TBI care: lack of support for care navigation, financial barriers, and communication barriers. Participants described how navigating outpatient healthcare services for TBI remains complex and emphasised the need for ongoing care navigation support throughout the care continuum. They detailed the long-term financial burden of TBI including high treatment costs, limited insurance coverage, and the emotional toll that financial stress has on their ability to navigate healthcare services for ongoing TBI-related needs. They also discussed how ineffective patient-provider communication and lack of reliable, timely and comprehensive health information about TBI limited their engagement in and navigation of TBI health services. Findings suggest that persons with TBI and their caregivers need ongoing support to manage the long-term impacts of TBI. Efforts to provide care coordination and navigation to patients with TBI and their families are urgently needed to facilitate greater access to care, effective healthcare navigation and improved health outcomes.

Clinicians' perspectives on the integration of electronic patient-reported outcomes into dermatology clinics: a qualitative study.

BACKGROUND: Skin conditions can have profound negative symptomatic and psychological effects. Failure to address these effects can lead to poor treatment adherence and/or patient dissatisfaction. Despite patient-reported outcome (PRO) use being highly recommended, real-world adoption has been slow. OBJECTIVES: To assess clinicians' perceived facilitators and barriers to using PROs in daily practice. METHODS: We conducted in-person semi-structured interviews with 19 clinicians and thematic analysis of transcripts. RESULTS: Three main themes emerged: (1) clinicians' attitudes about the value of Skindex-16 in daily practice, (2) patient attitudes influencing clinicians' use of Skindex-16, and (3) clinicians' perceptions of their ability to use PROs successfully for clinical care. Clinicians recognized benefits to using Skindex-16, such as revealing patients' hidden concerns and highlighting discrepancies with the clinician's severity assessments. Conversely, clinicians also identified limitations, such as time constraints and lack of relevance for some skin conditions. Patient complaints about PRO relevance have influenced clinicians' use of Skindex-16 negatively. Finally, some clinicians recognized the need for more training in score interpretation and implementation strategies for optimal clinical flow. CONCLUSIONS: While most clinicians believed PROs like Skindex-16 can be useful for patient care, barriers need to be addressed to make PROs more practical for routine clinical care.

The Military Injuries: Understanding Post-Traumatic Epilepsy Study: Understanding Relationships among Lifetime Traumatic Brain Injury History, Epilepsy, and Quality of Life.

Understanding risk for epilepsy among persons who sustain a mild (mTBI) traumatic brain injury (TBI) is crucial for effective intervention and prevention. However, mTBI is frequently undocumented or poorly documented in health records. Further, health records are non-continuous, such as when persons move through health systems (e.g., from Department of Defense to Veterans Affairs [VA] or between jobs in the civilian sector), making population-based assessments of this relationship challenging. Here, we introduce the MINUTE (Military INjuries-Understanding post-Traumatic Epilepsy) study, which integrates data from the Veterans Health Administration with self-report survey data for post-9/11 veterans (n = 2603) with histories of TBI, epilepsy and controls without a history of TBI or epilepsy. This article describes the MINUTE study design, implementation, hypotheses, and initial results across four groups of interest for neurotrauma: 1) control; 2) epilepsy; 3) TBI; and 4) post-traumatic epilepsy (PTE). Using combined survey and health record data, we test hypotheses examining lifetime history of TBI and the differential impacts of TBI, epilepsy, and PTE on quality of life. The MINUTE study revealed high rates of undocumented lifetime TBIs among veterans with epilepsy who had no evidence of TBI in VA medical records. Further, worse physical functioning and health-related quality of life were found for persons with epilepsy + TBI compared to those with either epilepsy or TBI alone. This effect was not fully explained by TBI severity. These insights provide valuable opportunities to optimize the resilience, delivery of health services, and community reintegration of veterans with TBI and complex comorbidity.

The cerebral palsy research network: Building a learning health network for cerebral palsy.

PURPOSE: The purpose of this study was to measure the growth of the Cerebral Palsy (CP) Research Network towards becoming a Learning Health Network in order to guide future development. METHODS: Thirteen CP Research Network leaders completed the Network Maturity Grid (NMG) which consists of six domains with eight to 10 components each. The six domains are Systems of Leadership, Governance and Management, Quality Improvement, Engagement and Community, Data and Analytics, and Research. Radar mapping was utilized to display mean scores on a 5-point ordinal scale (1 = not started to 5 = idealized state) across domains and for individual components within domains. Consensus was reached for top priorities for the next 3-5 years. RESULTS: Domain scores ranged from 2.4 in Quality Improvement to 3.2 in System of Leadership. The lowest scoring component was clinician clinical decision support and the highest was common purpose. The following priority areas of focus were agreed upon moving forward: development of leaders, financial sustainability, quality improvement education and training, patient reported data, data quality and validation, and primary data collection. CONCLUSION: Results from this project will be utilized for strategic planning to improve the network. Conducting regular self-assessments of the network with the NMG will be useful in achieving the network's ultimate goal to improve care and outcomes for individuals with CP.

Diagnostic operating characteristics of PROMIS scales in screening for depression.

OBJECTIVE: To determine the diagnostic operating characteristics of The Patient Reported Outcomes Measurement Information Systems (PROMIS) depression scales in screening for major depression. METHODS: Interview data from patients enrolled in clinical trials involving patients with chronic pain (2 trials) or post-stroke (1 trial) were analyzed. This included baseline and follow-up interviews in 648 and 586 study patients, respectively. Patients completed PROMIS depression scales of varying lengths (4-item, 6-item, and two 8-item scale versions) as well as the Patient Health Questionnaire 9-item (PHQ-9) depression scale. A Structured Clinical Interview for DSM Disorders (SCID) was administered to establish diagnoses of major depression and any depression. Sensitivity and specificity at various score cutpoints as well as area under the curve (AUC) were calculated. RESULTS: PROMIS scales of varying lengths had similar diagnostic operating characteristics. The optimal screening cutpoint for PROMIS raw scores on the 4-, 6-, and 8-item scales was 8, 12, and 16, respectively, which corresponds to a PROMIS T-score of 55. The average sensitivity and specificity of the two PROMIS 8-item scales for major depression across the 3 trials using a T-score cutpoint ≥55 was 0.81 and 0.84, respectively. This was almost identical to 0.81 and 0.82 for the PHQ-9 at its standard cutpoint score ≥ 10. The average AUC for major depression was identical (0.91) for the two PROMIS 8-item scales and PHQ-9, and also similar for any depression (0.87 to 0.89). CONCLUSION: PROMIS scales ranging from 4 to 8 items have strong operating characteristics comparable to the PHQ-9 in screening for depression. TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT01236521, NCT01583985, NCT01507688.

Responsiveness of PROMIS and Patient Health Questionnaire (PHQ) Depression Scales in three clinical trials.

BACKGROUND: The PROMIS depression scales are reliable and valid measures that have extensive normative data in general population samples. However, less is known about how responsive they are to detect change in clinical settings and how their responsiveness compares to legacy measures. The purpose of this study was to assess and compare the responsiveness of the PROMIS and Patient Health Questionnaire (PHQ) depression scales in three separate samples. METHODS: We used data from three clinical trials (two in patients with chronic pain and one in stroke survivors) totaling 651 participants. At both baseline and follow-up, participants completed four PROMIS depression fixed-length scales as well as legacy measures: Patient Health Questionnaire 9-item and 2-item scales (PHQ-9 and PHQ-2) and the SF-36 Mental Health scale. We measured global ratings of depression change, both prospectively and retrospectively, as anchors to classify patients as improved, unchanged, or worsened. Responsiveness was assessed with standardized response means, statistical tests comparing change groups, and area-under-curve analysis. RESULTS: The PROMIS depression and legacy scales had generally comparable responsiveness. Moreover, the four PROMIS depression scales of varying lengths were similarly responsive. In general, measures performed better in detecting depression improvement than depression worsening. For all measures, responsiveness varied based on the study sample and on whether depression improved or worsened. CONCLUSIONS: Both PROMIS and PHQ depression scales are brief public domain measures that are responsive (i.e., sensitive to change) and thus appropriate as outcome measures in research as well as for monitoring treatment in clinical practice. Trial registration ClinicalTrials.gov ID: NCT01236521, NCT01583985, NCT01507688.