Alcohol consumption among urban, suburban, and rural Veterans Affairs outpatients

Purpose: United States rural residents tend toward poorer health than urban residents. Although alcohol use is associated with multiple medical conditions and can be reduced via brief primary care‐based interventions, it is unknown whether alcohol consumption differs by rurality among primary care patients. We sought to describe alcohol consumption among urban, suburban, and rural Veterans Affairs (VA) outpatients. Methods: Outpatients from 7 VA facilities responded to mailed surveys that included the validated Alcohol Use Disorders Identification Test Consumption (AUDIT‐C) screening questionnaire. The ZIP code approximation of the US Department of Agriculture's rural‐urban commuting area (RUCA) codes classified participants into urban, suburban, and rural areas. For each area, adjusted logistic regression models estimated the prevalence of past‐year abstinence among all participants and unhealthy alcohol use (AUDIT‐C ≥ 3 for women and ≥ 4 for men) among drinkers. Findings: Among 33,883 outpatients, 14,967 (44%) reported abstinence. Among 18,916 drinkers, 8,524 (45%) screened positive for unhealthy alcohol use. The adjusted prevalence of abstinence was lowest in urban residents (43%, 95% CI 42%‐43%) with significantly higher rates in both suburban and rural residents [45% (44%‐46%) and 46% (45%‐47%), respectively]. No significant differences were observed in the adjusted prevalence of unhealthy alcohol use among drinkers. Conclusions: Abstinence is slightly more common among rural and suburban than urban VA outpatients, but unhealthy alcohol use does not vary by rurality. As the VA and other health systems implement evidence‐based care for unhealthy alcohol use, more research is needed to identify whether preventive strategies targeted to high‐risk areas are needed.     

The Impact of Living in Rural and Urban Areas: Vitamin D and Medical Costs in Veterans

Purpose: Living in a rural region is associated with significant health disparities and increased medical costs. Vitamin D deficiency, which is increasingly common, is also associated with many adverse health outcomes. The purpose of this study was to determine whether rural‐urban residence status of veterans was related to vitamin D levels, and to determine if this factor also influenced medical costs/service utilization. Additionally explored was whether vitamin D differences accounted for part of the association between area of residence and medical costs/service utilization. Methods: Medical records of 9,396 veterans from 6 Veterans Administration Medical Centers were reviewed for variables of interest including county of residence, vitamin D level, medical costs and service utilization, and background variables. Rurality status was classified as large metropolitan, urban, and rural. Findings: The 3 rurality status groups differed significantly in vitamin D levels, with the highest levels observed for urban residents, followed by rural residents, and the lowest for large metro residents. Compared with urban residents, large metro residents were 49% more likely, while rural residents were 20% more likely, to be vitamin D deficient. Both rural and large metro residents had higher medical costs, and they were significantly more likely to be hospitalized. Vitamin D levels explained a statistically significant amount of the relationship between rurality status and medical costs/service utilization. Conclusions: Vitamin D deficiency may be an additional health disparity experienced by both rural and inner‐city veterans, and patients residing in these locations should be considered at increased risk for deficiency and routinely tested.     

Relationship between Clinical Conditions and Use of Veterans Affairs Health Care among Medicare-Enrolled Veterans

Objective. To determine how reliance on Veterans Affairs (VA) for medical care among veterans enrolled in Medicare is affected by medical conditions, access, and patient characteristics. Data Sources/Study Setting. Department of Veterans Affairs. Study Design. We examined reliance on the VA for inpatient, outpatient, and overall medical care among all VA users in fiscal years 2003 and 2004 who were also enrolled in Medicare. We calculated the marginal effects of patient factors on VA reliance using fractional logistic regression; we also analyzed overall VA reliance separately for under‐65 and age‐65+ groups. The primary focus of this analysis was the relationship between aggregated condition categories (ACCs), which represent medical conditions, and reliance on the VA. Principal Findings. Mean VA reliance was significantly higher in the under‐65 population than in the age‐65+ group (0.800 versus 0.531). Lower differential distance to the VA, and higher VA‐determined priority for health care, predicted higher VA reliance. Most individual ACCs were negatively associated with VA reliance, though substance abuse and mental health disorders were significantly associated with increased reliance on VA care. Conditions of the eyes and ears/nose/throat had positive marginal effect on VA reliance for the under 65, while diabetes was positive for age 65+. Among inpatients, veterans with ACCs for mental health conditions, eye conditions, amputations, or infectious and parasitic conditions had higher likelihood of a VA hospitalization than inpatients without these conditions. Conclusions. Many dually enrolled Veterans use both Medicare and VA health care. Age, accessibility, and priority level for VA services have a clear relationship with VA reliance. Because dual use is common, coordination of care among health care settings for such patients should be a policy priority.     

Regional Differences in Prescribing Quality Among Elder Veterans and the Impact of Rural Residence

Purpose: Medication safety is a critical concern for older adults. Regional variation in potentially inappropriate prescribing practices may reflect important differences in health care quality. Therefore, the objectives of this study were to characterize prescribing quality variation among older adults across geographic region, and to compare prescribing quality across rural versus urban residence. Methods: Cross‐sectional study of 1,549,824 older adult veterans with regular Veterans Affairs (VA) primary care and medication use during fiscal year 2007. Prescribing quality was measured by 4 indicators of potentially inappropriate prescribing: Zhan criteria drugs to avoid, Fick criteria drugs to avoid, therapeutic duplication, and drug‐drug interactions. Frequency differences across region and rural‐urban residence were compared using adjusted odds‐ratios. Findings: Significant regional variation was observed for all indicators. Zhan criteria frequencies ranged from 13.2% in the Northeast to 21.2% in the South. Nationally, rural veterans had a significantly increased risk for inappropriate prescribing according to all quality indicators. However, regional analyses revealed this effect was limited to the South and Northeast, whereas rural residence was neutral in the Midwest and protective in the West. Conclusions: Significant regional variation in prescribing quality was observed among older adult veterans, mirroring recent findings among Medicare beneficiaries. The association between rurality and prescribing quality is heterogeneous, and relying solely on national estimates may yield misleading conclusions. Although we documented important variations in prescribing quality, the underlying factors driving these trends remain unknown, and they are a vital area for future research affecting older adults in both VA and non‐VA health systems.     

Use of Psychotherapy by Rural and Urban Veterans

Purpose: To examine whether differences exist between rural and urban veterans in terms of initiation of psychotherapy, delay in time from diagnosis to treatment, and dose of psychotherapy sessions. Methods: Using a longitudinal cohort of veterans obtained from national Veterans Affairs databases (October 2003 through September 2004), we extracted veterans with a new diagnosis of depression, anxiety, or posttraumatic stress disorder (PTSD) (n = 410,923). Veterans were classified as rural (categories 6-9; n = 65,044) or urban (category 1; n = 149,747), using the US Department of Agriculture Rural-Urban Continuum Codes. Psychotherapy encounters were identified using Current Procedural Terminology codes for the 12 months following patients’ initial diagnosis. Findings: Newly diagnosed rural veterans were significantly less likely (P < .0001) to receive psychotherapy (both individual and group). Urban veterans were roughly twice as likely as rural veterans to receive 4 or more (9.46% vs 5.08%) and 8 or more (5.59% vs 2.35%) psychotherapy sessions (P < .001). Conclusions: Rural veterans are significantly less likely to receive psychotherapy services, and the dose of the psychotherapy services provided for rural veterans is limited relative to their urban counterparts. Focused efforts are needed to increase access to psychotherapy services provided to rural veterans with depression, anxiety, and PTSD.     

Time Trends and Predictors of Suicide Among Mental Health Outpatients in the Department of Veterans Affairs

Using merged Veterans Affairs (VA) and National Death Index data, this study examined changes in suicide rate among three cohorts of VA mental health outpatients during a time of extensive bed closures and system-wide reorganization (1995, N = 76,105; 1997, N = 81,512; and 2001, N = 102,184). There was a decreasing but nonsignificant trend in suicide rates over time—13.2, 11.4, and 10.3 per 10,000 person-years, respectively. Multivariable predictors of suicide included both younger and older ages (U-shaped association). At the facility level, there was an association between greater per capita outpatient mental health expenditure and reduced suicide risk. The model also showed a protective effect associated with increased mental health spending on inpatient services, and that outpatients at facilities with larger mental health programs, as measured by patient volume, were at greater risk for suicide than were those in smaller programs. Although more chronic patients may have been underrepresented to some extent as a result of the sampling methodology, these findings provide generally reassuring evidence that overall suicide rates have not been adversely affected by VA system changes. Nevertheless, they highlight the importance of funding for mental health services as well as the implications of changing demographics in the VA population.     

Neither Race nor Ethnicity Impact the Mortality of Residents of Veterans Affairs Community Living Center With COVID-19

ObjectivesCOVID-19 disproportionately affected nursing home residents and people from racial and ethnic minorities in the United States. Nursing homes in the Veterans Affairs (VA) system, termed Community Living Centers (CLCs), belong to a national managed care system. In the period prior to the availability of vaccines, we examined whether residents from racial and ethnic minorities experienced disparities in COVID-19 related mortality.DesignRetrospective cohort study.Setting and ParticipantsResidents at 134 VA CLCs from April 14 to December 10, 2020.MethodsWe used the VA Corporate Data Warehouse to identify VA CLC residents with a positive SARS-CoV-2 polymerase chain reaction test during or 2 days prior to their admission and without a prior case of COVID-19. We assessed age, self-reported race/ethnicity, frailty, chronic medical conditions, Charlson comorbidity index, the annual quarter of the infection, and all-cause 30-day mortality. We estimated odds ratios and 95% confidence intervals of all-cause 30-day mortality using a mixed-effects multivariable logistic regression model.ResultsDuring the study period, 1133 CLC residents had an index positive SARS-CoV-2 test. Mortality at 30 days was 23% for White non-Hispanic residents, 15% for Black non-Hispanic residents, 10% for Hispanic residents, and 16% for other residents. Factors associated with increased 30-day mortality were age ≥70 years, Charlson comorbidity index ≥6, and a positive SARS-CoV-2 test between April 14 and June 30, 2020. Frailty, Black race, and Hispanic ethnicity were not independently associated with an increased risk of 30-day mortality.Conclusions and ImplicationsAmong a national cohort of VA CLC residents with COVID-19, neither Black race nor Hispanic ethnicity had a negative impact on survival. Further research is needed to determine factors within the VA health care system that mitigate the influence of systemic racism on COVID-19 outcomes in US nursing homes.     

乡镇卫生院生存活力影响因素研究

目的探索影响乡镇卫生院生存与发展的关键因素,为加快乡镇卫生院的发展提供政策依据。方法采用整群抽样方法,对沈阳市乡镇卫生院进行现状调查。按乡镇卫生院总收入水平的高、中、低进行分层比较,找出影响总收入的关键因素。数据用SPSS13.0软件进行统计分析。结果影响沈阳市卫生院生存能力的主要因素是固定资产、专业设备的拥有以及卫生人力的质量和数量。地方经济、医院服务半径、地区人口、服务能力也有一定的影响。结论沈阳市乡镇卫生院间收入存在明显的差异,卫生资源的质与量是影响乡镇卫生院生存能力的关键因素。     

Prevalence of Immature Survival Data for Anti-Cancer Drugs Presented to the National Institute for Health and Care Excellence and Impact on Decision Making

ObjectivesThis research aims to explore how often the National Institute for Health and Care Excellence (NICE) uses immature overall survival data to inform reimbursement decisions on cancer treatments, and the implications of this for resource allocation decisions.MethodsNICE cancer technology appraisals published between 2015 and 2017 were reviewed to determine the prevalence of using immature survival data. A case study was used to demonstrate the potential impact of basing decisions on immature data. The economic model submitted by the company was reconstructed and was populated first using survival data available at the time of the appraisal, and then using data from an updated data cut published after the appraisal concluded. The incremental cost-effectiveness ratios (ICERs) obtained using the different data cuts were compared. Probabilistic sensitivity analysis was undertaken and expected value of perfect information estimated.ResultsForty-one percent of NICE cancer technology appraisals used immature data to inform reimbursement decisions. In the case study, NICE gave a positive recommendation for a limited patient subgroup, with ICERs too high in the complete patient population. ICERs were dramatically lower when the final data cut was used, irrespective of the parametric model used to model survival. Probabilistic sensitivity analysis and expected value of perfect information may not have fully characterized uncertainty, because as they did not account for structural uncertainty.ConclusionAnalyses of cancer treatments using immature survival data may result in incorrect estimates of survival benefit and cost-effectiveness, potentially leading to inappropriate funding decisions. This research highlights the importance of revisiting past decisions when updated data cuts become available.     

Ongoing Self‐Engagement in Quit Attempts and Cessation Outcomes Among Rural Smokers Who Were Unable to Quit After 2 Years of Repeated Interventions

Purpose: As many smokers experience repeated failures with cessation attempts, it has been postulated that we may create a cadre of highly resistant smokers who are unlikely to engage in treatment or succeed in quitting. Our purpose was to follow a group of recalcitrant rural smokers and examine their ongoing engagement in smoking cessation activities. Methods: At the end of a 24‐month disease management program for rural smokers, we identified participants who reported ongoing daily smoking despite exposure to 4 previous cycles of smoking cessation interventions. At month 36 (1 year after conclusion of the study), we contacted these participants and assessed changes in smoking status and ongoing engagement in cessation activities over the preceding 6 months. We assessed quit attempts and use of pharmacotherapy during the prior 6 months, as well as smoking abstinence at 36 months. Findings: Among 333 recalcitrant smokers, 49% reported at least one 24‐hour quit attempt during the preceding 6 months, 29% tried smoking cessation pharmacotherapy, and 5% quit smoking. Significant predictors of having at least one 24‐hour quit attempt were lower numbers of cigarettes smoked per day, being in preparation stage of change, and more pharmacotherapy‐assisted quit attempts during the original 24‐month trial. Higher motivation to quit and more previous pharmacotherapy‐assisted quit attempts significantly predicted cessation medication use. Use of varenicline was strongly associated with cessation. Conclusions: Many recalcitrant rural smokers continue to engage in treatment and make quit attempts even in the absence of active interventions.