Guardianship Before and Following Hospitalization.

When ethics committees are consulted about patients who have or need court-appointed guardians, they lack empirical evidence about several common issues, including the relationship between guardianship and prolonged, potentially medically unnecessary hospitalizations for patients. To provide information about this issue, we conducted quantitative and qualitative analyses using a retrospective cohort from Veterans Healthcare Administration. To examine the relationship between guardianship appointment and hospital length of stay, we first compared 116 persons hospitalized prior to guardianship appointment to a comparison group (n = 348) 3:1 matched for age, diagnosis, date of admission, and comorbidity. We then compared 91 persons hospitalized in the year following guardianship appointment to a second matched comparison group (n = 273). Mean length of stay was 30.75 days (SD = 46.70) amongst those admitted prior to guardianship, which was higher than the comparison group (M = 7.74, SD = 9.71, F = 20.75, p < .001). Length of stay was lower following guardianship appointment (11.65, SD = 12.02, t = 15.16, p < .001); while higher than the comparison group (M = 7.60, SD = 8.46), differences were not associated with guardianship status. In a separate analysis involving 35 individuals who were hospitalized both prior to and following guardianship, length of stay was longer in the year prior (M = 23.00, SD = 37.55) versus after guardianship (M = 10.37, SD = 10.89, F = 4.35, p = .045). In qualitative analyses, four themes associated with lengths of stay exceeding 45 days prior to guardianship appointment were: administrative issues, family conflict, neuropsychiatric comorbidity, and medical complications. Our results suggest that persons who are admitted to hospitals, and subsequently require a guardian, experience extended lengths of stay for multiple complex reasons. Once a guardian has been appointed, however, differences in hospital lengths of stay between patients with and without guardians are reduced.

Rapid Increase in Telemental Health Within the Department of Veterans Affairs During the COVID-19 Pandemic.

Background: The use of telemental health via videoconferencing (TMH-V) became critical during the Coronavirus disease 2019 (COVID-19) pandemic due to restriction of non-urgent in-person appointments. The current brief report demonstrates the rapid growth in TMH-V appointments in the weeks following the pandemic declaration within the Department of Veterans Affairs (VA), the largest healthcare system in the United States. Methods: COVID-19 changes in TMH-V appointments were captured during the six weeks following the World Health Organization's pandemic declaration (March 11, 2020-April 22, 2020). Pre-COVID-19 TMH-V encounters were assessed from October 1, 2017 to March 10, 2020. Results: Daily TMH-V encounters rose from 1,739 on March 11 to 11,406 on April 22 (556% growth, 222,349 total encounters). Between March 11-April 22, 114,714 patients were seen via TMH-V, and 77.5% were first-time TMH-V users. 12,342 MH providers completed a TMH-V appointment between March 11-April 22, and 34.7% were first-time TMH-V users. The percentage growth of TMH-V appointments was higher than the rise in telephone appointments (442% growth); in-person appointments dropped by 81% during this time period. Discussion and Conclusions: The speed of VA's growth in TMH-V appointments in the wake of the COVID-19 pandemic was facilitated by its pre-existing telehealth infrastructure, including earlier national efforts to increase the number of providers using TMH-V. Longstanding barriers to TMH-V implementation were lessened in the context of a pandemic, during which non-urgent in-person MH care was drastically reduced. Future work is necessary to understand the extent to which COVID-19 related changes in TMH-V use may permanently impact mental health care provision.

An Economic Analysis of the Implementation of Team-based Collaborative Care in Outpatient General Mental Health Clinics.

BACKGROUND: Collaborative Chronic Care Models represent an evidence-based way to structure care for chronic conditions, including mental health conditions. Few studies, however, have examined the cost implications of collaborative care for mental health. OBJECTIVE: We aimed to conduct an economic analysis of implementing collaborative care in 9 outpatient general mental health clinics. RESEARCH DESIGN: Analyses were derived from a stepped wedge hybrid implementation-effectiveness trial. We conducted cost-minimization analyses from the health system perspective, incorporating implementation costs, outpatient costs, and inpatient costs for the year before collaborative care implementation and the implementation year. We used a difference-in-differences approach and conducted 1-way sensitivity analyses to determine the robustness of results to variations ±15% in model parameters, along with probabilistic sensitivity analysis using Monte Carlo simulation. SUBJECTS: Our treatment group included 5507 patients who were initially engaged in care within 9 outpatient general mental health teams that underwent collaborative care implementation. We compared costs for this group to 45,981 control patients who received mental health treatment as usual at the same medical centers. RESULTS: Collaborative care implementation cost about $40 per patient and was associated with a significant decrease in inpatient costs and a nonsignificant increase in outpatient mental health costs. This implementation was associated with $78 in cost savings per patient. Monte Carlo simulation suggested that implementation was cost saving in 78% of iterations. CONCLUSIONS: Collaborative care implementation for mental health teams was associated with significant reductions in mental health hospitalizations, leading to substantial cost savings of about $1.70 for every dollar spent for implementation.

Novel methodology to measure pre-procedure antimicrobial prophylaxis: integrating text searches with structured data from the Veterans Health Administration's electronic medical record.

BACKGROUND: Antimicrobial prophylaxis is an evidence-proven strategy for reducing procedure-related infections; however, measuring this key quality metric typically requires manual review, due to the way antimicrobial prophylaxis is documented in the electronic medical record (EMR). Our objective was to electronically measure compliance with antimicrobial prophylaxis using both structured and unstructured data from the Veterans Health Administration (VA) EMR. We developed this methodology for cardiac device implantation procedures. METHODS: With clinician input and review of clinical guidelines, we developed a list of antimicrobial names recommended for the prevention of cardiac device infection. We trained the algorithm using existing fiscal year (FY) 2008-15 data from the VA Clinical Assessment Reporting and Tracking-Electrophysiology (CART-EP), which contains manually determined information about antimicrobial prophylaxis. We merged CART-EP data with EMR data and programmed statistical software to flag an antimicrobial orders or drug fills from structured data fields in the EMR and hits on text string searches of antimicrobial names documented in clinician's notes. We iteratively tested combinations of these data elements to optimize an algorithm to accurately classify antimicrobial use. The final algorithm was validated in a national cohort of VA cardiac device procedures from FY2016-2017. Discordant cases underwent expert manual review to identify reasons for algorithm misclassification. RESULTS: The CART-EP dataset included 2102 procedures at 38 VA facilities with manually identified antimicrobial prophylaxis in 2056 cases (97.8%). The final algorithm combining structured EMR fields and text note search results correctly classified 2048 of the CART-EP cases (97.4%). In the validation sample, the algorithm measured compliance with antimicrobial prophylaxis in 16,606 of 18,903 cardiac device procedures (87.8%). Misclassification was due to EMR documentation issues, such as antimicrobial prophylaxis documented only in hand-written clinician notes in a format that cannot be electronically searched. CONCLUSIONS: We developed a methodology with high accuracy to measure guideline concordant use of antimicrobial prophylaxis before cardiac device procedures using data fields present in modern EMRs. This method can replace manual review in quality measurement in the VA and other healthcare systems with EMRs; further, this method could be adapted to measure compliance in other procedural areas where antimicrobial prophylaxis is recommended.

Patient Possession of Excess Medication Supply in the VA: A Retrospective Database Study.

BACKGROUND: Medication overlap leading to medication excess is a form of therapeutic duplication, itself a type of potentially inappropriate prescribing. OBJECTIVE: To determine the prevalence of potential medication excess in the Veterans Health Administration (VHA) and identify associated medication-level, patient-level, and system-level factors. RESEARCH DESIGN: A retrospective database study. SUBJECTS: All veterans who received ≥1 prescription dispensed by a VHA pharmacy in fiscal year 2014. MEASURES: The primary outcome of "medication excess" was defined for each patient as the number of excess days' worth of medications for all overlap episodes (concurrently dispensed medications with the same name for >10 d). Predictors included medication-level, patient-level, and system-level factors. Multivariable negative binomial regression analyses estimated the rate ratio of each predictor with medication excess. RESULTS: Among 4,687,453 veterans, 64% had ≥1 medication overlap episodes. Patients were prescribed a median of 7 [interquartile range (IQR), 3-12] unique medications, had a median of 2 (IQR, 0-5) overlap episodes, and a median of 27 (IQR, 0-96) days of medication excess. In adjusted regression models, factors associated with greater risk of medication excess included having more comorbidities, multiple prescribers, a combination of filling locations (consolidated mail-order pharmacy vs. local pharmacy), and multiple prescription durations (≥90 d vs. less). CONCLUSIONS: Medication excess was high among VHA users, with nearly two-thirds of patients experiencing at least 1 duplicative medication. As systems such as mail-order pharmacies and 90-day supply are increasingly implemented to reduce costs and improve medication adherence, it is important to recognize the potential for systems-level inefficiencies and potentially inappropriate prescribing.

The Collaborative Chronic Care Model for Mental Health Conditions: From Evidence Synthesis to Policy Impact to Scale-up and Spread.

BACKGROUND: Extensive evidence indicates that Collaborative Chronic Care Models (CCMs) improve outcome in chronic medical conditions and depression treated in primary care. Beginning with an evidence synthesis which indicated that CCMs are also effective for multiple mental health conditions, we describe a multistage process that translated this knowledge into evidence-based health system change in the US Department of Veterans Affairs (VA). EVIDENCE SYNTHESIS: In 2010, recognizing that there had been numerous CCM trials for a wide variety of mental health conditions, we conducted an evidence synthesis compiling randomized controlled trials of CCMs for any mental health condition. The systematic review demonstrated CCM effectiveness across mental health conditions and treatment venues. Cumulative meta-analysis and meta-regression further informed our approach to subsequent CCM implementation. POLICY IMPACT: In 2015, based on the evidence synthesis, VA Office of Mental Health and Suicide Prevention (OMHSP) adopted the CCM as the model for their outpatient mental health teams. RANDOMIZED IMPLEMENTATION TRIAL: In 2015-2018 we partnered with OMHSP to conduct a 9-site stepped wedge implementation trial, guided by insights from the evidence synthesis. SCALE-UP AND SPREAD: In 2017 OMHSP launched an effort to scale-up and spread the CCM to additional VA medical centers. Seventeen facilitators were trained and 28 facilities engaged in facilitation. DISCUSSION: Evidence synthesis provided leverage for evidence-based policy change. This formed the foundation for a health care leadership/researcher partnership, which conducted an implementation trial and subsequent scale-up and spread effort to enhance adoption of the CCM, as informed by the evidence synthesis.

Predictors of Employment Status in Male and Female Post-9/11 Veterans Evaluated for Traumatic Brain Injury.

OBJECTIVES: The goal of this study was to investigate predictors of employment status in male and female post-9/11 Veterans evaluated for traumatic brain injury (TBI) in the Veterans Health Administration. Prior research suggests there are gender differences in psychosocial characteristics among this cohort. METHODS: This was a cross-sectional analysis of post-9/11 Veterans who completed a TBI evaluation between July 2009 and September 2013. RESULTS: Women had lower prevalence of deployment-related TBI (65.5%) compared with men (75.3%), but the percentages of those unemployed across the TBI diagnostic categories were similar for men (38%) and women (39%). Adjusted log-binomial regression found that unemployment was significantly associated with age, education, marital status, moderate/severe TBI, suspected posttraumatic stress disorder, depression, and drug abuse/dependence, and neurobehavioral symptom severity for men, whereas for women only more severe affective and cognitive symptoms were associated with unemployment. CONCLUSIONS: Although the unemployment rate was similar across gender, there was a clearer pattern of demographic and health factors, including TBI severity, that was significantly associated with employment status in men. There may be other factors contributing to the female Veteran unemployment rate, underscoring the need to investigate unique contributors to unemployment, as well as how treatment and employment services can be expanded and tailored for post-9/11 Veterans.

Patient-Centered Care in Primary Care Scale: Pilot Development and Psychometric Assessment.

BACKGROUND: Nurse contributions to patient-centered care in primary care clinics are all but ignored in standard patient experience surveys. PURPOSE: The purpose was to conduct a pilot study to develop and psychometrically assess a scale measuring nurses' and other providers' patient-centered care in Veteran Affairs primary care clinics. METHOD: We developed a patient experience survey composed of original items and previous studies' items and scales. The survey was field tested online with patients who had a recent clinic appointment. The nonrandom analytic sample comprised 221 patients. RESULTS: Exploratory factor analyses yielded a 36-item, 4-factor solution explaining 76% of the variance. The factors were: (1) Provider Knowing the Person/Individualizing Care (18 items; α = 0.98); (2) Nurse Knowing the Person (8; 0.95); (3) Nurse Individualizing Care (7; 0.94); and (4) Continuity of Care (3; not calculated). A short form with 23 items was created using stepwise regression. It had the same 4 factors as the long form with 76% of the variance explained. CONCLUSIONS: Patients reported distinctive nurse contributions that have not been routinely measured.

Staff-perceived Conflict between Resident-centered Care and Quality in the Skilled Nursing Facility: Are Both Possible?

OBJECTIVES: The purpose of this study was to understand if and how Veterans Affairs (VA) nursing home (CLC) staff experience difficulty in providing care that is both resident-centered (RCC) and concordant with quality standards. METHODS: Twelve VA CLCs were selected for site visits, stratified based on rankings on a composite quality measure (calculated from various indicators) and resident-centered care (RCC) progress (based on a culture change tool). Staff were interviewed about efforts and barriers to achieving goals in RCC and quality, and the interview transcripts systematically analyzed for themes. RESULTS: We interviewed 141 participants, including senior leaders, middle managers, and front-line staff. An emergent theme was conflict between RCC and quality, although participants varied in their perceptions of its impact. Participants perceived three conflict types: 1) between resident preferences and medically indicated actions; 2) between resident preferences and the needs or safety of others; and 3) limits of staff time or authority. CONCLUSIONS: CLC staff perceive conflicts between RCC and care consistent with quality imperatives. CLINICAL IMPLICATIONS: Variation in perceived RCC-quality conflicts suggests that policy clarifications and additional training may provide guidance in dealing with such dilemmas. It may be prudent to clearly communicate to what boundaries exist to RCC in the evolving CLC environment.

Factor structure of the Q-LES-Q short form in an enrolled mental health clinic population.

PURPOSE: The Quality of Life, Enjoyment, and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF) is a recovery-oriented, self-report measure with an uncertain underlying factor structure, variously reported in the literature to consist of either one or two domains. We examined the possible factor structures of the English version in an enrolled mental health population who were not necessarily actively engaged in care. METHODS: As part of an implementation trial in the U.S. Department of Veterans Affairs mental health clinics, we administered the Q-LES-Q-SF and Veterans RAND 12-Item Health Survey (VR-12) over the phone to 576 patients across nine medical centers. We used a split-sample approach and conducted an exploratory factor analysis (EFA) and multi-trait analysis (MTA). Comparison with VR-12 assessed construct validity. RESULTS: Based on 568 surveys after excluding the work satisfaction item due to high unemployment rate, the EFA indicated a unidimensional structure. The MTA showed a single factor: ten items loaded on one strong psychosocial factor (α = 0.87). Only three items loaded on a physical factor (α = 0.63). Item discriminant validity was strong at 92.3%. Correlations with the VR-12 were consistent with the existence of two factors. CONCLUSIONS: The English version of the Q-LES-Q-SF is a valid, reliable self-report instrument for assessing quality of life. Its factor structure can be best described as one strong psychosocial factor. Differences in underlying factor structure across studies may be due to limitations in using EFA on Likert scales, language, culture, locus of participant recruitment, disease burden, and mode of administration.

Factors associated with internal medicine physician job attitudes in the Veterans Health Administration.

BACKGROUND: US healthcare organizations increasingly use physician satisfaction and attitudes as a key performance indicator. Further, many health care organizations also have an academically oriented mission. Physician involvement in research and teaching may lead to more positive workplace attitudes, with subsequent decreases in turnover and beneficial impact on patient care. This article aimed to understand the influence of time spent on academic activities and perceived quality of care in relation to job attitudes among internal medicine physicians in the Veterans Health Administration (VHA). METHODS: A cross-sectional survey was conducted with inpatient attending physicians from 36 Veterans Affairs Medical Centers. Participants were surveyed regarding demographics, practice settings, workplace staffing, perceived quality of care, and job attitudes. Job attitudes consisted of three measures: overall job satisfaction, intent to leave the organization, and burnout. Analysis used a two-level hierarchical model to account for the nesting of physicians within medical centers. The regression models included organizational-level characteristics: inpatient bed size, urban or rural location, hospital teaching affiliation, and performance-based compensation. RESULTS: A total of 373 physicians provided useable survey responses. The majority (72%) of respondents reported some level of teaching involvement. Almost half (46%) of the sample reported some level of research involvement. Degree of research involvement was a significant predictor of favorable ratings on physician job satisfaction and intent to leave. Teaching involvement did not have a significant impact on outcomes. Perceived quality of care was the strongest predictor of physician job satisfaction and intent to leave. Perceived levels of adequate physician staffing was a significant contributor to all three job attitude measures. CONCLUSIONS: Expanding opportunities for physician involvement with research may lead to more positive work experiences, which could potentially reduce turnover and improve system performance.

Tailoring an educational program on the AHRQ Patient Safety Indicators to meet stakeholder needs: lessons learned in the VA.

BACKGROUND: Given that patient safety measures are increasingly used for public reporting and pay-for performance, it is important for stakeholders to understand how to use these measures for improvement. The Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicators (PSIs) are one particularly visible set of measures that are now used primarily for public reporting and pay-for-performance among both private sector and Veterans Health Administration (VA) hospitals. This trend generates a strong need for stakeholders to understand how to interpret and use the PSIs for quality improvement (QI). The goal of this study was to develop an educational program and tailor it to stakeholders' needs. In this paper, we share what we learned from this program development process. METHODS: Our study population included key VA stakeholders involved in reviewing performance reports and prioritizing and initiating quality/safety initiatives. A pre-program formative evaluation through telephone interviews and web-based surveys assessed stakeholders' educational needs/interests. Findings from the formative evaluation led to development and implementation of a cyberseminar-based program, which we tailored to stakeholders' needs/interests. A post-program survey evaluated program participants' perceptions about the PSI educational program. RESULTS: Interview data confirmed that the concepts we had developed for the interviews could be used for the survey. Survey results informed us on what program delivery mode and content topics were of high interest. Six cyberseminars were developed-three of which focused on two content areas that were noted of greatest interest: learning how to use PSIs for monitoring trends and understanding how to interpret PSIs. We also used snapshots of VA PSI reports so that participants could directly apply learnings. Although initial interest in the program was high, actual attendance was low. However, post-program survey results indicated that perceptions about the program were positive. CONCLUSIONS: Conducting a formative evaluation was a highly important process in program development. The useful information that we collected through the interviews and surveys allowed us to tailor the program to stakeholders' needs and interests. Our experiences, particularly with the formative evaluation process, yielded valuable lessons that can guide others when developing and implementing similar educational programs.

Patient attitudes and experiences that predict medication discontinuation in the Veterans Health Administration.

OBJECTIVES: Polypharmacy is associated with adverse medication effects. One potential solution is deprescribing, which is the intentional, proactive, rational discontinuation of a medication that is no longer indicated or for which the potential harms outweigh the potential benefits. We identified patient characteristics, attitudes, and health care experiences associated with medication discontinuation. DESIGN, SETTING, AND PARTICIPANTS: We conducted a national mail survey, with the use of the Patient Perceptions of Discontinuation (PPoD) instrument, of 1600 veterans receiving primary care at Veterans Affairs (VA) medical centers and prescribed 5 or more concurrent medications. MAIN OUTCOME MEASURES: The primary outcome was the response to: "Have you ever stopped taking a medicine (with or without your doctor's knowledge)?" The primary predictors of interest were 8 validated attitudinal scales. Other predictors included demographics, health status, and health care experiences. RESULTS: Respondents (n = 803; adjusted response rate 52%) were predominantly male (85%); non-Hispanic white (68%), 65 years of age or older (60%), and with poor (16%) or fair (45%) health. Participant attitudes toward medications and their providers were generally favorable. One in 3 patients (34%) reported having stopped a medicine in the past. In a multivariable logistic regression model (P < 0.001; pseudo-R2 = 0.31; c-statistic = 0.82), factors associated with discontinuation included being told or asking to stop a medicine, greater interest in deprescribing and shared decision making, and higher education. Factors associated with decreased discontinuation were more prescriptions, higher trust in provider, and seeing a VA clinical pharmacist. CONCLUSION: More highly educated patients with interest in deprescribing and shared decision making may be more receptive to discontinuation discussions. Future research evaluating how to incorporate this survey and these findings into clinical workflow through the design of clinical interventions may help to promote safe and rational medication use.

Patient Perceptions of Deprescribing: Survey Development and Psychometric Assessment.

BACKGROUND: Although clinicians ultimately decide when to discontinue (deprescribe) medications, patients' perspectives may guide the process. OBJECTIVES: To develop a survey instrument that assesses patients' experience with and attitudes toward deprescribing. RESEARCH DESIGN: We developed a questionnaire with established and newly created items. We used exploratory factor analysis and confirmatory factor analysis (EFA and CFA) to assess the psychometric properties. SUBJECTS: National sample of 1547 Veterans Affairs patients prescribed ≥5 medications. MEASURES: In the EFA, percent variance, a scree plot, and conceptual coherence determined the number of factors. In the CFA, proposed factor structures were evaluated using standardized root mean square residual, root mean square error of approximation, and comparative fit index. RESULTS: Respondents (n=790; 51% response rate) were randomly assigned to equal derivation and validation groups. EFA yielded credible 4-factor and 5-factor models. The 4 factors were "Medication Concerns," "Provider Knowledge," "Interest in Stopping Medicines," and "Unimportance of Medicines." The 5-factor model added "Patient Involvement in Decision-Making." In the CFA, a modified 5-factor model, with 2 items with marginal loadings moved based upon conceptual fit, had an standardized root mean square residual of 0.06, an RMSEA of 0.07, and a CFI of 0.91. The new scales demonstrated internal consistency reliability, with Cronbach α's of: Concerns, 0.82; Provider Knowledge, 0.86; Interest, 0.77; Involvement, 0.61; and Unimportance, 0.70. CONCLUSIONS: The Patient Perceptions of Deprescribing questionnaire is a novel, multidimensional instrument to measure patients' attitudes and experiences related to medication discontinuation that can be used to determine how to best involve patients in deprescribing decisions.

Associations Between Traumatic Brain Injury History and Future Headache Severity in Veterans: A Longitudinal Study.

OBJECTIVE: To determine whether traumatic brain injury (TBI) history is associated with worse headache severity outcomes. DESIGN: Prospective cohort study. SETTING: Department of Veterans Affairs (VA) outpatient clinics. PARTICIPANTS: Veterans (N=2566) who completed a mail follow-up survey an average of 3 years after a comprehensive TBI evaluation (CTBIE). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The presence or absence of TBI, and TBI severity were evaluated by a trained clinician and classified according to VA/Department of Defense clinical practice guidelines. Headache severity was evaluated at both the baseline CTBIE assessment and 3-year follow-up using a 5-level headache score ranging from 0 ("none") to 4 ("very severe") based on headache-associated activity interference in the past 30 days. We examined associations of mild and moderate/severe TBI history, as compared to no TBI history, with headache severity in cross-sectional and longitudinal analyses, with and without adjustment for potential confounders. RESULTS: Mean headache severity scores were 2.4 at baseline and 2.3 at 3-year follow-up. Mild TBI was associated with greater headache severity in multivariate-adjusted cross-sectional analyses (ß [SE]=.61 [.07], P<.001), as compared with no TBI, but not in longitudinal analyses (ß [SE]=.09 [.07], P=.20). Moderate/severe TBI was significantly associated with greater headache severity in both cross-sectional (ß [SE]=.66 [.09], P<.001) and longitudinal analyses (ß [SE]=.18 [.09], P=.04). CONCLUSIONS: Headache outcomes are poor in veterans who receive VA TBI evaluations, irrespective of past TBI exposure, but significantly worse in those with a history of moderate/severe TBI. No association was found between mild TBI and future headache severity in veterans. Veterans with headache presenting for TBI evaluations, and particularly those with moderate/severe TBI, may benefit from further evaluation and treatment of headache.

Supporting medication discontinuation: provider preferences for interventions to facilitate deprescribing.

BACKGROUND: One approach to prevent adverse drug events is to discontinue ("deprescribe") medications that are outdated, not indicated, or of limited benefit relative to risk for a particular patient. However, there is little guidance to clinicians about how to integrate the process of deprescribing into the workflow of clinical practice. We sought to determine clinical prescribers' preferences for interventions that would improve their ability to appropriately and proactively discontinue medications. METHODS: We conducted a national web-based survey of 2475 prescribers [physicians, nurse practitioners (NP), physician assistants (PA), and clinical pharmacy specialists] practicing in US Veterans Affairs (VA) primary care clinics. One survey question presented 15 potential changes to medication-related practices and respondents ranked their top three choices for changes that would "most improve [their] ability to discontinue medications." We summed the weighted rankings for each of the 15 response options. Preferences were determined for the whole sample and within subgroups of respondents defined by demographic and background characteristics, medication-relevant experience, and beliefs. RESULTS: Among the 326 respondents who provided rankings, the top choice for a change that would help improve their ability to discontinue medications was "Requiring all medication prescriptions to have an associated 'indication for use.'" This preference was followed by "Assistance with follow-up of patients as they taper or discontinue medications is performed by another member of the Patient Aligned Care Team (PACT)" and "Increased patient involvement in prescribing decisions." This combination of options, albeit in varying rank order, was the most commonly selected, with 250 respondents (77%) who answered the question including at least one of these items in their three highest ranked choices, regardless of their demographics, experience, or beliefs. CONCLUSIONS: Continued efforts to improve clinicians' ability to make prescribing decisions, especially around deprescribing, have many potential benefits, including decreased pharmaceutical and health care costs, fewer adverse drug events and complications, and improved patient involvement and satisfaction with their care. Future work, whether as research or quality improvement, should incorporate clinicians' preferences for interventions, as greater buy-in from front-line staff leads to better adoption of changes.

Associations Between Traumatic Brain Injury, Suspected Psychiatric Conditions, and Unemployment in Operation Enduring Freedom/Operation Iraqi Freedom Veterans.

OBJECTIVE: To examine the relations among demographic characteristics, traumatic brain injury (TBI) history, suspected psychiatric conditions, current neurobehavioral health symptoms, and employment status in Veterans evaluated for TBI in the Department of Veterans Affairs. STUDY DESIGN: Retrospective cross-sectional database review of comprehensive TBI evaluations documented between October 2007 and June 2009. PARTICIPANTS: Operation Enduring Freedom/Operation Iraqi Freedom Veterans (n = 11 683) who completed a comprehensive TBI evaluation. MAIN MEASURES: Veterans Affairs clinicians use the comprehensive TBI evaluations to obtain information about TBI-related experiences, current neurobehavioral symptoms, and to identify suspected psychiatric conditions. RESULTS: Approximately one-third of Veterans in this sample were unemployed, and of these, the majority were looking for work. After simultaneously adjusting for health and deployment-related variables, significant factors associated with unemployment included one or more suspected psychiatric conditions (eg, posttraumatic stress disorder, anxiety, depression), neurobehavioral symptom severity (ie, affective, cognitive, vestibular), former active duty status, injury etiology, age, lower education, and marital status. The associations of these factors with employment status varied by deployment-related TBI severity. CONCLUSIONS: Simultaneously addressing health-related, educational, and/or vocational needs may fill a critical gap for helping Veterans readjust to civilian life and achieve their academic and vocational potential.

Interest in Use of Technology for Healthcare Among Veterans Receiving Treatment for Mental Health.

INTRODUCTION: There is great interest in leveraging technology, including cell phones and computers, to improve healthcare. A range of e-health applications pertaining to mental health such as messaging for prescription refill or mobile device videoconferencing are becoming more available, but little is known about the mental health patient's interest in using these newer applications. METHODS: We mailed a survey to 300 patients seen in the general mental health clinic of a local Veterans Affairs Medical Center. Survey questions focused on interest in use of cell phones, tablets, and other computers in patients' interactions with the healthcare system. RESULTS: A total of 74 patients, primarily treated for depression, post-traumatic stress disorder, or anxiety disorders, returned completed surveys. Nearly all reported having a cell phone (72/74, 97%), but fewer than half reported having a smartphone (35/74, 47%). Overall, a substantial majority (64/74, 86%) had access to an Internet-capable device (smartphone or computer, including tablets). Respondents appeared to prefer computers to cell phones for some health-related communications, but did not express differential interest for other tasks (such as receiving appointment reminders). Interest in use was higher among younger veterans. DISCUSSION: Most veterans with a mental health diagnosis have access to technology (including cell phones and computers) and are interested in using that technology for some types of healthcare-related communications. CONCLUSIONS: While there is capacity to utilize information technology for healthcare purposes in this population, interests vary widely, and a substantial minority does not have access to relevant devices. Although interest in using computers for health-related communication was higher than interest in using cell phones, single-platform technology-based interventions may nonetheless exclude crucial segments of the population.

The association of hospital characteristics and quality improvement activities in inpatient medical services.

BACKGROUND: Quality of U.S. health care has been the focus of increasing attention, with deficiencies in patient care well recognized and documented. However, relatively little is known about the extent to which hospitals engage in quality improvement activities (QIAs) or factors influencing extent of QIAs. OBJECTIVE: To identify 1) the extent of QIAs in Veterans Administration (VA) inpatient medical services; and 2) factors associated with widespread adoption of QIAs, in particular use of hospitalists, non-physician providers, and extent of goal alignment between the inpatient service and senior managers on commitment to quality. DESIGN: Cross-sectional, descriptive study of QIAs using a survey administered to Chiefs of Medicine (COM) at all 124 VA acute care hospitals. We conducted hierarchical regression, regressing QIA use on facility contextual variables, followed by use of hospitalists, non-physician providers, and goal alignment/quality commitment. MAIN MEASURES: Outcome measures pertained to use of a set of 27 QIAs and to three dimensions--infrastructure, prevention, and information gathering--that were identified by factor analysis among the 27 QIAs overall. KEY RESULTS: Survey response rate was 90 % (111/124). Goal alignment/quality commitment was associated with more widespread use of all four QIA categories [infrastructure (b = 0.42; p < 0.001); prevention (b = 0.24; p < 0.001); information gathering (b = 0.28; p = <0.001); and overall QIA (b = 0.31; p < 0.001)], as was greater use of hospitalists [infrastructure (b = 0.55; p = 0.03); prevention (b = 0.61; p < 0.001); information gathering (b = 0.75; p = 0.01); and overall QIAs (b = 0.61; p < 0.001)]; higher occupancy rate was associated with greater infrastructure QIAs (b = 1.05, p = 0.02). Non-physician provider use, hospital size, university affiliation, and geographic region were not associated with QIAs. CONCLUSION: As hospitals respond to changes in healthcare (e.g., pay for performance, accountable care organizations), this study suggests that practices such as use of hospitalists and leadership focus on goal alignment/quality commitment may lead to greater implementation of QIAs.