Effectiveness of tobacco cessation pharmacotherapy in the Veterans Health Administration

2018 ◽  
Vol 28 (5) ◽  
pp. 540-547 ◽  
Author(s):  
Sonia A Duffy ◽  
Rosalinda V Ignacio ◽  
Hyungjin Myra Kim ◽  
Mark C Geraci ◽  
Carol A Essenmacher ◽  
...  
Keyword(s):  
Tobacco Cessation ◽  
Veterans Health Administration ◽  
Fiscal Year ◽  
Veterans Health ◽  
Health Administration ◽  
Electronic Medical Record Data ◽  
Record Data ◽  
Weighted Model ◽  
Current Tobacco

IntroductionIn 2003, the Veterans Health Administration (VHA) implemented a directive that cessation pharmacotherapy be made available to all who use tobacco and are interested in quitting. Despite the efficacy of cessation pharmacotherapy shown in clinical trials, the generalisability of the results in real-world settings has been challenged. Hence, the specific aim of this study was to determine the effectiveness of cessation pharmacotherapies in the VHA.MethodsThis retrospective cohort study used VHA’s electronic medical record data to compare quit rates among those who use tobacco and who did vs. did not receive any type of cessation pharmacotherapy. Included were 589 862 Veterans identified as current tobacco users during fiscal year 2011 who had not received cessation pharmacotherapy in the prior 12 months. Following a 6-month period to assess treatment, quit rates among those who were treated versus untreated were compared during the 7–18 months (12 months) post-treatment follow-up period. The estimated treatment effect was calculated from a logistic regression model adjusting for inverse probability of treatment weights (IPTWs) and covariates. Marginal probabilities of quitting were also obtained among those treated versus untreated.ResultsAdjusting for IPTWs and covariates, the odds of quitting were 24% higher among those treated versus untreated (OR=1.24, 95% CI 1.23 to 1.25, p<0.001). The marginal probabilities of quitting were 16.7% for the untreated versus 19.8% for the treated based on the weighted model.ConclusionThe increased quit rates among Veterans treated support the effectiveness and continuation of the VHA tobacco cessation pharmacotherapy policy.

Leveraging electronic medical record data for population health management in the Veterans Health Administration: Successes and lessons learned

2017 ◽  
Vol 74 (18) ◽  
pp. 1447-1459 ◽  
Author(s):  
Jannet M. Carmichael ◽  
Joy Meier ◽  
Amy Robinson ◽  
Janice Taylor ◽  
Diana T. Higgins ◽  
...  
Keyword(s):  
Medical Record ◽  
Population Health ◽  
Veterans Health Administration ◽  
Evidence Based ◽  
Veterans Health ◽  
Health Administration ◽  
Medical Record Data ◽  
Task Forces ◽  
Electronic Medical Record Data ◽  
Record Data

Abstract Purpose The process and operational elements to establish a population health program using electronic medical record data in a Veterans Health Administration region are described. Summary Pharmacists are uniquely qualified to assume important roles in population health through the use of their clinical knowledge, assisted by electronic tools that consolidate and report patient-specific data for clinical care. Veterans Integrated Services Network (VISN) 21 has developed 300 dashboards and reports to improve the quality, safety, and value of healthcare to veterans. Within a group of specialty task forces, physicians, nurses, and pharmacists assist in the design and development of evidence-based tools to leverage timely electronic health information into metrics, benchmarks, and targets to assist with goal achievement. Examples of programs designed to improve care in 3 areas were selected for further description and review of outcomes. Population health improvement using Healthcare Effectiveness Data and Information Set and hepatitis C metrics were used to describe populations that may have an indication for evidence-based care but are not receiving it. Deprescribing efforts are described, as are medication safety monitoring efforts to prevent potential adverse events known to be associated with therapy. Conclusion Quality, safety, and value outcomes are the measures of success for population health programs in VISN 21. Data-rich project dashboards and reports are developed by pharmacist data analysts and implemented and used by teams of clinicians who provide continuous feedback and support to improve population health. The use of task forces, metrics, benchmarks, targets, and teams is instrumental in the successful application of these tools.

scholarly journals Associations between stopping prescriptions for opioids, length of opioid treatment, and overdose or suicide deaths in US veterans: observational evaluation

BMJ ◽  
2020 ◽  
pp. m283 ◽  
Author(s):  
Elizabeth M Oliva ◽  
Thomas Bowe ◽  
Ajay Manhapra ◽  
Stefan Kertesz ◽  
Jennifer M Hah ◽  
...  
Keyword(s):  
Opioid Analgesic ◽  
Veterans Health Administration ◽  
Fiscal Year ◽  
Veterans Health ◽  
Health Administration ◽  
Opioid Treatment ◽  
Risk Of Death ◽  
Length Of Treatment ◽  
Increased Risk ◽  
Stopping Treatment

Abstract Objective To examine the associations between stopping treatment with opioids, length of treatment, and death from overdose or suicide in the Veterans Health Administration. Design Observational evaluation. Setting Veterans Health Administration. Participants 1 394 102 patients in the Veterans Health Administration with an outpatient prescription for an opioid analgesic from fiscal year 2013 to the end of fiscal year 2014 (1 October 2012 to 30 September 2014). Main outcome measures A multivariable Cox non-proportional hazards regression model examined death from overdose or suicide, with the interaction of time varying opioid cessation by length of treatment (≤30, 31-90, 91-400, and >400 days) as the main covariates. Stopping treatment with opioids was measured as the time when a patient was estimated to have no prescription for opioids, up to the end of the next fiscal year (2014) or the patient’s death. Results 2887 deaths from overdose or suicide were found. The incidence of stopping opioid treatment was 57.4% (n = 799 668) overall, and based on length of opioid treatment was 32.0% (≤30 days), 8.7% (31-90 days), 22.7% (91-400 days), and 36.6% (>400 days). The interaction between stopping treatment with opioids and length of treatment was significant (P<0.001); stopping treatment was associated with an increased risk of death from overdose or suicide regardless of the length of treatment, with the risk increasing the longer patients were treated. Hazard ratios for patients who stopped opioid treatment (with reference values for all other covariates) were 1.67 (≤30 days), 2.80 (31-90 days), 3.95 (91-400 days), and 6.77 (>400 days). Descriptive life table data suggested that death rates for overdose or suicide increased immediately after starting or stopping treatment with opioids, with the incidence decreasing over about three to 12 months. Conclusions Patients were at greater risk of death from overdose or suicide after stopping opioid treatment, with an increase in the risk the longer patients had been treated before stopping. Descriptive data suggested that starting treatment with opioids was also a risk period. Strategies to mitigate the risk in these periods are not currently a focus of guidelines for long term use of opioids. The associations observed cannot be assumed to be causal; the context in which opioid prescriptions were started and stopped might contribute to risk and was not investigated. Safer prescribing of opioids should take a broader view on patient safety and mitigate the risk from the patient’s perspective. Factors to address are those that place patients at risk for overdose or suicide after beginning and stopping opioid treatment, especially in the first three months.

Opioid use disorder and homelessness in the Veterans Health Administration: The challenge of multimorbidity

2018 ◽  
Vol 14 (3) ◽  
pp. 171-182 ◽  
Author(s):  
Theddeus Iheanacho, MD ◽  
Elina Stefanovics, PhD ◽  
Robert Rosenheck, MD
Keyword(s):  
Risk Factor ◽  
Service Use ◽  
Veterans Health Administration ◽  
Opioid Use Disorder ◽  
Fiscal Year ◽  
Veterans Health ◽  
Health Administration ◽  
Opioid Use ◽  
Agonist Therapy ◽  
Homeless Veterans

Objective: The aim of this study is to estimate the prevalence and sociodemographic and clinical correlates of opioid use disorder (OUD), a major cause of morbidity and mortality in the United States, among homeless veterans nationally in the Veterans Health Administration (VHA).Design: Administrative data on 256,404 veterans who were homeless and/or had OUD in fiscal year 2012 were analyzed to evaluate OUD as a risk factor for homelessness along with associated characteristics, comorbidities, and patterns of service use. Bivariate analyses and logistic regression were used to compare homeless veterans with OUD to veterans with OUD but no homelessness and homeless veterans with no OUD.Results: Altogether 17.9 percent of homeless VHA users were diagnosed with OUD and 34.6 percent of veterans with OUD were homeless. The risk ratio (RR) for homelessness among veterans with OUD was 28.7. Homeless veterans with OUD, compared to nonhomeless veterans with OUD showed extensive multimorbidity with greater risk for HIV (RR = 1.57), schizophrenia (RR = 1.62), alcohol use disorder (RR = 1.67), and others. Homeless veterans with OUD also showed more multimorbidity and used more services than homeless veterans without OUD. Homeless and nonhomeless OUD veterans used opiate agonist therapy at similar, but very low rates (13 and 15 percent).Conclusions: OUD is a major risk factor for homelessness. Homeless veterans with OUD have high levels of multimorbidity and greater service use than veterans with either condition alone. Tailored, facilitated access to opioid agonist therapy may improve outcomes for these vulnerable veterans.

scholarly journals Mild TBI and risk of Parkinson disease

Neurology ◽  
2018 ◽  
Vol 90 (20) ◽  
pp. e1771-e1779 ◽  
Author(s):  
Raquel C. Gardner ◽  
Amy L. Byers ◽  
Deborah E. Barnes ◽  
Yixia Li ◽  
John Boscardin ◽  
...  
Keyword(s):  
Brain Injury ◽  
Parkinson Disease ◽  
Veterans Health Administration ◽  
Veterans Health ◽  
Health Administration ◽  
Mild Tbi ◽  
Psychiatric Comorbidities ◽  
Increased Risk ◽  
Severe Tbi

ObjectiveOur aim was to assess risk of Parkinson disease (PD) following traumatic brain injury (TBI), including specifically mild TBI (mTBI), among care recipients in the Veterans Health Administration.MethodsIn this retrospective cohort study, we identified all patients with a TBI diagnosis in Veterans Health Administration databases from October 2002 to September 2014 and age-matched 1:1 to a random sample of patients without TBI. All patients were aged 18 years and older without PD or dementia at baseline. TBI exposure and severity were determined via detailed clinical assessments or ICD-9 codes using Department of Defense and Defense and Veterans Brain Injury Center criteria. Baseline comorbidities and incident PD more than 1 year post-TBI were identified using ICD-9 codes. Risk of PD after TBI was assessed using Cox proportional hazard models adjusted for demographics and medical/psychiatric comorbidities.ResultsAmong 325,870 patients (half with TBI; average age 47.9 ± 17.4 years; average follow-up 4.6 years), 1,462 were diagnosed with PD during follow-up. Compared to no TBI, those with TBI had higher incidence of PD (no TBI 0.31%, all-severity TBI 0.58%, mTBI 0.47%, moderate-severe TBI 0.75%). In adjusted models, all-severity TBI, mTBI, and moderate-severe TBI were associated with increased risk of PD (hazard ratio [95% confidence interval]: all-severity TBI 1.71 [1.53–1.92]; mTBI 1.56 [1.35–1.80]; moderate-severe TBI 1.83 [1.61–2.07]).ConclusionsAmong military veterans, mTBI is associated with 56% increased risk of PD, even after adjusting for demographics and medical/psychiatric comorbidities. This study highlights the importance of TBI prevention, long-term follow-up of TBI-exposed veterans, and the need to determine mechanisms and modifiable risk factors for post-TBI PD.

Improving Perceptions of Teamwork Climate With the Veterans Health Administration Medical Team Training Program

2011 ◽  
Vol 26 (6) ◽  
pp. 480-484 ◽  
Author(s):  
Brian T. Carney ◽  
Priscilla West ◽  
Julia B. Neily ◽  
Peter D. Mills ◽  
James P. Bagian
Keyword(s):  
Veterans Health Administration ◽  
Team Training ◽  
Medical Team ◽  
Veterans Health ◽  
Health Administration ◽  
Safety Attitudes ◽  
Safety Attitudes Questionnaire ◽  
Physician Perceptions ◽  
Nonparametric Testing

There are differences between nurse and physician perceptions of teamwork. The purpose of this study was to determine whether these differences would be reduced with medical team training (MTT). The Safety Attitudes Questionnaire was administered to nurses and physicians working in the operating rooms of 101 consecutive hospitals before and at the completion of an MTT program. Responses to the 6 teamwork climate items on the Safety Attitudes Questionnaire were analyzed using nonparametric testing. At baseline, physicians had more favorable perceptions on teamwork climate items than nurses. Physicians demonstrated improvement on all 6 teamwork climate items. Nurses demonstrated improvement in perceptions on all teamwork climate items except “Nurse input is well received.” Physicians still had a more favorable perception than nurses on all 6 teamwork climate items at follow-up. Despite an improvement in perceptions by physicians and nurses, baseline nurse–physician differences persisted at completion of the Veterans Health Administration MTT Program.

Teleoncology for Veterans: High Patient Satisfaction Coupled With Positive Financial and Environmental Impacts

2021 ◽  
pp. OP.21.00317
Author(s):  
Cindy Y. Jiang ◽  
Garth W. Strohbehn ◽  
Rachel M. Dedinsky ◽  
Shelby M. Raupp ◽  
Brittany M. Pannecouk ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Patient Satisfaction ◽  
Carbon Dioxide Emissions ◽  
Financial Burden ◽  
Veterans Health Administration ◽  
Veterans Health ◽  
Health Administration ◽  
Medical Needs ◽  
Strongly Agree

PURPOSE: There was rapid adoption of teleoncology care in the Veterans Health Administration during the COVID-19 pandemic. One third of 9 million Veterans Health Administration enrolled Veterans live in rural areas. Although digital solutions can expand capacity, enhance care access, and reduce financial burden, they may also exacerbate rural-urban health disparities. Careful evaluation of patients' perceptions and policy tradeoffs are necessary to optimize teleoncology postpandemic. METHODS: Patients with ≥ 1 teleoncology visit with medical, surgical, or radiation oncology between March 2020 and June 2020 were identified retrospectively. Validated, Likert-type survey assessing patient satisfaction was developed. Follow-up survey was conducted on patients with ≥ 1 teleoncology visit from August 2020 to January 2021. Travel distance, time, cost, and carbon dioxide emissions were calculated based on zip codes. RESULTS: A hundred surveys were completed (response rate, 62%). Patients overall were satisfied with teleoncology (83% Agree or Strongly Agree) but felt less satisfied than in-person visits (47% Agree or Strongly Agree). Audiovisual component improved patient perception of involvement in care, ability to self-manage health or medical needs, and comparability to in-person visits. Follow-up survey demonstrated similar satisfaction. Total travel-related savings are as follows: 86,470 miles, 84,374 minutes, $49,720 US dollars, and 35.5 metric tons of carbon dioxide. CONCLUSION: Veterans are broadly satisfied with teleoncology. Audiovisual capabilities are critical to satisfaction. This is challenging for rural populations with lack of technology access. Patients experienced financial and time savings, and society benefitted from reduced carbon emissions. Continued optimization is needed to enhance patient experience and address secondary effects.

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