Buprenorphine use and courses of care for opioid use disorder treatment within the Veterans Health Administration.

BACKGROUND: Retention of patients in buprenorphine medication treatment for opioid use disorder (B-MOUD) reduces harms associated with opioid use disorder (OUD). We sought to characterize the patients receiving B-MOUD and courses of B-MOUD in a large healthcare system. METHODS: We conducted a retrospective, open cohort study of patients with OUD who either did or did not receive B-MOUD courses within the Veterans Health Administration (VHA) from January 2006 through July 2019, using VHA clinical data. We compared patients receiving or not receiving B-MOUD, characterized B-MOUD courses (e.g., length and doses), and examined persistence, across patient characteristics, over time. We used analyses for normally or non-normally distributed continuous variables, categorical data, and persistence over time (Kaplan-Meier persistence curves). RESULTS: We identified 255,726 Veterans with OUD; 40,431 (15.8%) had received 63,929 B-MOUD courses. Compared to patients with OUD without B-MOUD, patients with B-MOUD were younger, more often of white race, and had more co-morbidities. The frequency of new B-MOUD starts and prevalent B-MOUD patients ranged from 1550 and 1989 in 2007 to 8146 and 16,505 in 2018, respectively. The median duration of B-MOUD was 157 (IQR: 37-537) days for all courses and 33.8% patients had more than one course. The average proportion days covered was 90% (SD: 0.15), and the average prescribed daily dose was 13.44 (SD: 6.5). CONCLUSIONS: Within a VHA B-MOUD cohort, courses increased more than 10-fold from 2006 to 2016 with nearly half of patients experiencing multiple courses. Patient demographics seem to dictate the length of courses.

Developing the VA Geriatric Scholars Programs' Clinical Dashboards Using the PDSA Framework for Quality Improvement.

BACKGROUND: Involving clinician end users in the development process of clinical dashboards is important to ensure that user needs are adequately met prior to releasing the dashboard for use. The challenge with following this approach is that clinician end users can undergo periodic turnover, meaning, the clinicians that played a role in the initial development process may not be the same individuals that use the dashboard in future. OBJECTIVES: Here, we summarize our Plan, Do, Study, Act (PDSA)-guided clinical dashboard development process for the VA Geriatric Scholars Program (GSP) and the value of continuous, iterative development. We summarize dashboard adaptations that resulted from two PDSA cycles of improvement for the potentially inappropriate medication dashboard (PIMD), one of many Geriatric Scholars clinical dashboards. We also present the evaluative performance of the PIMD. METHODS: Evaluation of the PIMD was performed using the system usability scale (SUS) and through review of user interaction logs. Routine end users that were Geriatric Scholars and had evidence of 5 or more dashboard views were invited to complete an electronic form that contained the 10-item SUS. RESULTS: The proportion of Geriatric Scholars that utilized the PIMD increased for each iterative dashboard version that was produced as a byproduct from feedback (31.0% in 2017 to 60.2% in 2019). The overall usability of the PIMD among routine users was found to be above average (SUS score: 75.2 [95% CI 70.5-79.8]) in comparison to the recommended standard of acceptability (SUS score: 68) CONCLUSION: The solicitation of feedback during dashboard orientations led to iterative adaptations of the PIMD that broadened its intended use. The presented PDSA-guided process to clinical dashboard development for the VA GSP can serve as a valuable framework for development teams seeking to produce well-adopted and usable health information technology (IT) innovations.

Assessing LGBTQ+ stigma among healthcare professionals: An application of the health stigma and discrimination framework in a qualitative, community-based participatory research study.

This qualitative, community-based participatory research (CBPR) study examines the occurrence of LGBTQ+ stigma in healthcare guided by the Health Stigma and Discrimination Framework. We conducted focus groups with healthcare professionals, analyzed using a thematic analysis approach. Stigma drivers included knowledge deficits and transphobia. Facilitators were the binary organization of medical education and training, cisnormative system procedures, a lack of enforceable policy to reduce stigma, and workplace culture and norms. Stigma practices, such as prejudicial attitudes, gossip, and misgendering, primarily focused on transgender individuals. This study reinforces the need to reduce LGBTQ+ stigma in healthcare settings, with implications for multi-level interventions.

Applying the Health Stigma and Discrimination Framework to Assess HIV Stigma among Health Care Professionals: A Mixed Methods, Community-Based Participatory Research Study.

HIV stigma in health care disrupts the care continuum and negatively affects health outcomes among people living with HIV. Few studies explore HIV stigma from the perspective of health care providers, which was the aim of this mixed-methods, community-based participatory research study. Guided by the Health Stigma Discrimination Framework, we conducted an online survey and focus group interviews with 88 and 18 participants. Data were mixed during interpretation and reporting results. Stigma was low overall and participants reported more stigma among their colleagues. The main drivers of stigma included lack of knowledge and fear. Workplace policies and culture were key stigma facilitators. Stigma manifested highest through the endorsement of stereotypes and in the use of unnecessary precautions when treating people with HIV. This study adds to our understanding of HIV stigma within health care settings, with implications for the development of multi-level interventions to reduce HIV stigma among health care professionals.

A systematic review of interventions for reducing heavy episodic drinking in sub-Saharan African settings.

OBJECTIVE: Assess the effect of non-pharmacological alcohol interventions on reducing heavy episodic drinking (HED) outcomes in sub-Saharan Africa. METHODS: A systematic review of the available literature through August 19, 2020 was conducted. Randomized and non-randomized controlled trials testing non-pharmacological interventions on alcohol consumption in sub-Saharan Africa were eligible for inclusion. Eligible outcomes included measures of HED/binge drinking, and measures indicative of this pattern of drinking, such as high blood alcohol concentration or frequency of intoxication. Three authors extracted and reconciled relevant data and assessed risk of bias. The review protocol is available on PROSPERO (registration number: CRD42019094509). The Cochrane Handbook recommendations for the review of interventions and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines guided all methodology. RESULTS: Thirteen intervention trials were identified that met our inclusion criteria and measured change in HED. Studies were judged of moderate quality. A beneficial effect of non-pharmacological interventions on HED was reported in six studies, three of which were deemed clinically significant by the review authors; no statistically significant effects were identified in the other seven studies. Interventions achieving statistical and/or clinical significance had an intervention dose of two hours or greater, used an array of psychosocial approaches, including Motivational Interviewing integrated in Brief Intervention, cognitive behavioral therapy and integrated risk reduction interventions, and were delivered both individually and in groups. CONCLUSIONS: Evidence for the effectiveness of non-pharmacological interventions to reduce HED in sub-Saharan African settings was limited, demonstrating the need for more research. To strengthen the literature, future research should employ more rigorous study designs, improve consistency of HED measurement, test interventions developed specifically to address HED, and explore structural approaches to HED reduction.

Usability Testing a Potentially Inappropriate Medication Dashboard: A Core Component of the Dashboard Development Process.

BACKGROUND: With the increased usage of dashboard reporting systems to monitor and track patient panels by clinical users, developers must ensure that the information displays they produce are accurate and intuitive. When evaluating usability of a clinical dashboard among potential end users, developers oftentimes rely on methods such as questionnaires as opposed to other, more time-intensive strategies that incorporate direct observation. OBJECTIVES: Prior to release of the potentially inappropriate medication (PIM) clinical dashboard, designed to facilitate completion of a quality improvement project by clinician scholars enrolled in the Veterans Affairs (VA) workforce development Geriatric Scholars Program (GSP), we evaluated the usability of the system. This article describes the process of usability testing a dashboard reporting system with clinicians using direct observation and think-aloud moderating techniques. METHODS: We developed a structured interview protocol that combines virtual observation, think-aloud moderating techniques, and retrospective questioning of the overall user experience, including use of the System Usability Scale (SUS). Thematic analysis was used to analyze field notes from the interviews of three GSP alumni. RESULTS: Our structured approach to usability testing identified specific functional problems with the dashboard reporting system that were missed by results from the SUS. Usability testing lead to overall improvements in the intuitive use of the system, increased data transparency, and clarification of the dashboard's purpose. CONCLUSION: Reliance solely on questionnaires and surveys at the end stages of dashboard development can mask potential functional problems that will impede proper usage and lead to misinterpretation of results. A structured approach to usability testing in the developmental phase is an important tool for developers of clinician friendly systems for displaying easily digested information and tracking outcomes for the purpose of quality improvement.

Involving patients in the development of interpersonal skills of optometry students.

BACKGROUND: Providing patients an opportunity to give feedback to optometry students on their communication and interpersonal skills allows for a unique learning opportunity. The aim of the current project was to determine if the Doctors' Interpersonal Skills Questionnaire (DISQ) was suitable for use with optometry students in a large teaching clinic and if it provided useful feedback to the students for learning purposes. METHODS: The DISQ is a 12-item questionnaire that utilises a five-point Likert scale; a higher score indicates better performance. The DISQ was modified for an optometry context and developed into an online questionnaire. Patients were invited to complete the survey following their consultation with a final year student. Patients provided feedback on the interpersonal skills of the student optometrist who conducted the consultation under supervision. Students were provided with both individual and collated feedback obtained for the entire student group; strategies for improving communication were discussed. This activity did not form part of the grades of the students. RESULTS: Patients were very satisfied with the interpersonal skills of final year optometry students. Highest scores were given for questions relating to the warmth of greeting, respect shown and time given. Lowest scores were for questions relating to explanations, reassurance and confidence. There was a significant improvement in the communication and interpersonal skills of students following the provision of patient feedback and strategies for improving these skills, and an additional period of clinical experience. CONCLUSION: Patients can provide feedback on the interpersonal skills of optometry students using the DISQ. This feedback results in further skill development for students and makes patients feel valued within the teaching clinic environment. This activity assisted in ensuring that graduating optometrists have the interpersonal skills required to communicate clearly and effectively with patients, a requirement for practising with a patient-centred focus.

Tumour necrosis factor inhibitor exposure and radiographic outcomes in Veterans with rheumatoid arthritis: a longitudinal cohort study.

OBJECTIVES: The aim was to estimate the impact of TNF inhibitor (TNFi) exposure on radiographic disease progression in US Veterans with RA during the first year after initiating therapy. METHODS: This historical longitudinal cohort design used clinical and claims data to evaluate radiographic progression after initiation of TNFi. US Veterans with RA initiating TNFi treatment (index date), ≥ 6 months pre-index and ≥ 12 months post-index VA enrolment/activity, and initial (6 months pre-index to 30 days post-index) and follow-up (10-18 months post-index) bilateral hand radiographs were eligible. The cumulative TNFi exposure and change in modified Sharp score (MSS) between initial and follow-up radiographs were calculated. The percentage of patients with clinically meaningful change in MSS (≥ 5) for each month of exposure was assessed using a longitudinal marginal structural model with inverse probability of treatment weights. Mean values and CIs were generated using 1000 bootstrapped samples. RESULTS: For 246 eligible patients, the mean (s.d.) age was 58 (11) years; 81% were male. The mean (s.d.) initial MSS was 19.6 (33.4) (range 0-214). The mean change (s.d.) in MSS was 0.3 (3.6) (median 0, range -19 to 22). Patients with the greatest exposure had the least radiographic progression for both crude and adjusted model analyses. Adjusted rates of MSS change ≥ 5 points (95% CI) were 10.6% (9.8%, 11.4%) for patients with 3 months of exposure compared with 5.4% (5.1%, 5.7%) for patients with 12 months of exposure. CONCLUSION: One-year changes in radiographic progression were small. Patients with the greatest cumulative TNFi exposure experienced the least progression.

VA Geriatric Scholars Program's impact on prescribing potentially inappropriate medications.

OBJECTIVES: The Veterans Affairs (VA) Geriatric Scholars Program (GSP) is a workforce development program to enhance skills and competencies among VA clinicians who provide healthcare for older veterans in VA primary care clinics. An intensive geriatrics didactics (IGD) course is a core element of this professional development program. The objective of this study was to evaluate the impact of completing the IGD course on providers' rates of prescribing definite potentially inappropriate medications (DPIMs) based on Beers Criteria from 2008 to 2016. STUDY DESIGN: We applied a longitudinal interrupted time series design to examine changes in DPIM prescribing rates for GSP participants before and after completing the IGD course. METHODS: The time series was divided into two 12-month periods, representing the preintervention period (ie, 12 months prior to completing the IGD course) and the postintervention period (ie, 12 months after completing the IGD course), and populated with pharmacy dispensing data from the VA's Corporate Data Warehouse. An adjusted slope impact model was developed to estimate the postintervention change in the proportion of the dispensed medications identified as DPIMs. RESULTS: After adjusting for case mix, we observed a statistically significant reduction in the proportion of DPIMs dispensed post IGD (slope change, 0.994; 95% CI, 0.991-0.997). This change in slope reflects a total decrease of 7971 DPIM dispensings during the postintervention period. This equates to an estimated 24 fewer DPIM dispensings per provider during the postintervention period. CONCLUSIONS: Although the size of the effect was modest, we found that participation in the GSP IGD course reduced prescribing of DPIMs for older veterans.

Validation of Algorithms Used to Identify Red Blood Cell Transfusion Related Admissions in Veteran Patients with End Stage Renal Disease.

BACKGROUND: The goal of this study was to compare the performance of several database algorithms designed to identify red blood cell (RBC) Transfusion Related hospital Admissions (TRAs) in Veterans with end stage renal disease (ESRD). METHODS: Hospitalizations in Veterans with ESRD and evidence of dialysis between 01/01/2008 and 12/31/2013 were screened for TRAs using a clinical algorithm (CA) and four variations of claims-based algorithms (CBA 1-4). Criteria were implemented to exclude patients with non-ESRD-related anemia (e.g., injury, surgery, bleeding, medications known to produce anemia). Diagnostic performance of each algorithm was delineated based on two clinical representations of a TRA: RBC transfusion required to treat ESRD-related anemia on admission regardless of the reason for admission (labeled as TRA) and hospitalization for the primary purpose of treating ESRD-related anemia (labeled TRA-Primary). The performance of all algorithms was determined by comparing each to a reference standard established by medical records review. Population-level estimates of classification agreement statistics were calculated for each algorithm using inverse probability weights and bootstrapping procedures. Due to the low prevalence of TRAs, the geometric mean was considered the primary measure of algorithm performance. RESULTS: After application of exclusion criteria, the study consisted of 12,388 Veterans with 26,672 admissions. The CA had a geometric mean of 90.8% (95% Confidence Interval: 81.8, 95.6) and 94.7% (95% CI: 80.5, 98.7) for TRA and TRA-Primary, respectively. The geometric mean for the CBAs ranged from 60.3% (95% CI: 53.2, 66.9) to 91.8% (95% CI: 86.9, 95) for TRA, and from 80.7% (95% CI: 72.9, 86.7) to 96.7% (95% CI: 94.1, 98.2) for TRA-Primary. The adjusted proportions of admissions classified as TRAs was 3.2% (95% CI: 2.8, 3.8) and TRA-Primary was 1.3% (95% CI: 1.1, 1.7). CONCLUSIONS: The CA and select CBAs were able to identify TRAs and TRA-primary with high levels of accuracy and can be used to examine anemia management practices in ESRD patients.

Predicting Psychiatric Hospitalizations among Elderly Veterans with a History of Mental Health Disease.

INTRODUCTION: Patient Aligned Care Team (PACT) care managers are tasked with identifying aging Veterans with psychiatric disease in attempt to prevent psychiatric crises. However, few resources exist that use real-time information on patient risk to prioritize coordinating appropriate care amongst a complex aging population. OBJECTIVE: To develop and validate a model to predict psychiatric hospital admission, during a 90-day risk window, in Veterans ages 65 or older with a history of mental health disease. METHODS: This study applied a cohort design to historical data available in the Veterans Affairs (VA) Corporate Data Warehouse (CDW). The Least Absolute Shrinkage and Selection Operator (LASSO) regularization regression technique was used for model development and variable selection. Individual predicted probabilities were estimated using logistic regression. A split-sample approach was used in performing external validation of the fitted model. The concordance statistic (C-statistic) was calculated to assess model performance. RESULTS: Prior to modeling, 61 potential candidate predictors were identified and 27 variables remained after applying the LASSO method. The final model's predictive accuracy is represented by a C-statistic of 0.903. The model's predictive accuracy during external validation is represented by a C-statistic of 0.935. Having a previous psychiatric hospitalization, psychosis, bipolar disorder, and the number of mental-health related social work encounters were strong predictors of a geriatric psychiatric hospitalization. CONCLUSION: This predictive model is capable of quantifying the risk of a geriatric psychiatric hospitalization with acceptable performance and allows for the development of interventions that could potentially reduce such risk.