Quality of Opioid Use Disorder Treatment for Persons With and Without Disabling Conditions.

Importance: Adverse outcomes associated with opioid use disorder (OUD) are disproportionately high among people with disabilities (PWD) compared with those without disability. A gap remains in understanding the quality of OUD treatment for people with physical, sensory, cognitive, and developmental disabilities, specifically regarding medications for OUD (MOUD), a foundation of treatment. Objective: To examine the use and quality of OUD treatment in adults with diagnosed disabling conditions, compared with adults without these diagnoses. Design, Setting, and Participants: This case-control study used Washington State Medicaid data from 2016 to 2019 (for use) and 2017 to 2018 (for continuity). Data were obtained for outpatient, residential, and inpatient settings with Medicaid claims. Participants included Washington State full-benefit Medicaid enrollees aged 18 to 64 years, continuously eligible for 12 months, with OUD during the study years and not enrolled in Medicare. Data analysis was performed from January to September 2022. Exposures: Disability status, including physical (spinal cord injury or mobility impairment), sensory (visual or hearing impairments), developmental (intellectual or developmental disability or autism), and cognitive (traumatic brain injury) disabilities. Main Outcomes and Measures: The main outcomes were National Quality Forum-endorsed quality measures: (1) use of MOUD (buprenorphine, methadone, or naltrexone) during each study year and (2) 6-month continuity of treatment (for those taking MOUD). Results: A total of 84 728 Washington Medicaid enrollees had claims evidence of OUD, representing 159 591 person-years (84 762 person-years [53.1%] for female participants, 116 145 person-years [72.8%] for non-Hispanic White participants, and 100 970 person-years [63.3%] for participants aged 18-39 years); 15.5% of the population (24 743 person-years) had evidence of a physical, sensory, developmental, or cognitive disability. PWD were 40% less likely than those without a disability to receive any MOUD (adjusted odds ratio [AOR], 0.60; 95% CI, 0.58-0.61; P < .001). This was true for each disability type, with variations. Individuals with a developmental disability were least likely to use MOUD (AOR, 0.50; 95% CI, 0.46-0.55; P < .001). Of those using MOUD, PWD were 13% less likely than people without disability to continue MOUD for 6 months (adjusted OR, 0.87; 95% CI, 0.82-0.93; P < .001). Conclusions and Relevance: In this case-control study of a Medicaid population, treatment differences were found between PWD and people without these disabilities; these differences cannot be explained clinically and highlight inequities in treatment. Policies and interventions to increase MOUD access are critical to reducing morbidity and mortality among PWD. Potential solutions include improved enforcement of the Americans with Disabilities Act, workforce best practice training, and addressing stigma, accessibility, and the need for accommodations to improve OUD treatment for PWD.

Changes in Outpatient Healthcare Utilization and Costs Following Mild Traumatic Brain Injury Among Service Members in the Military Health System by Preexisting Behavioral Health Condition Status.

OBJECTIVE: To evaluate changes in healthcare utilization and cost following an index mild traumatic brain injury (mTBI) diagnosis among service members (SMs). We hypothesized that differences in utilization and cost will be observed by preexisting behavioral health (BH) diagnosis status. SETTING: Direct care outpatient healthcare facilities within the Military Health System. PARTICIPANTS: A total of 21 984 active-duty SMs diagnosed with an index mTBI diagnosis between 2017 and 2018. DESIGN: This retrospective study analyzed changes in healthcare utilization and cost in military treatment facilities among SMs with an index mTBI diagnosis. Encounter records 1 year before and after mTBI were assessed; preexisting BH conditions were identified in the year before mTBI. MAIN MEASURES: Ordinary least squares regressions evaluated difference in the average change of total outpatient encounters and costs among SMs with and with no preexisting BH conditions (eg, posttraumatic stress disorder, adjustment disorder). Additional regressions explored changes in utilization and cost within clinic types (eg, mental health, physical rehabilitation). RESULTS: There was a 39.5% increase in overall healthcare utilization during the following year, representing a 34.8% increase in total expenditures. Those with preexisting BH conditions exhibited smaller changes in overall utilization (ß, -4.9; [95% confidence interval (CI), -6.1 to -3.8]) and cost (ß, $-1873; [95% CI, $-2722 to $-1024]), compared with those with no BH condition. The greatest differences were observed in primary care clinics, in which those with prior BH conditions exhibited an average decreased change of 3.2 encounters (95% CI, -3.5 to -3) and reduced cost of $544 (95% CI, $-599 to $-490) compared with those with no prior BH conditions. CONCLUSION: Despite being higher utilizers of healthcare services both pre- and post-mTBI diagnosis, those with preexisting BH conditions exhibited smaller changes in overall cost and utilization. This highlights the importance of considering prior utilization and cost when evaluating the impact of mTBI and other injury events on the Military Health System.

Geography, rurality, and community distress: deaths due to suicide, alcohol-use, and drug-use among Colorado Veterans.

BACKGROUND: In the USA, deaths due to suicide, alcohol, or drug-related causes (e.g., alcohol-related liver disease, overdose) have doubled since 2002. Veterans appear disproportionately impacted by growing trends. Limited research has been conducted regarding the relationship between community-level factors (e.g., rurality, community distress resulting from economic conditions) and the presence of spatial clustering of suicide, alcohol-related, or drug-related deaths. We explored community-level relationships in Colorado Veterans and compared suicide, alcohol-, and drug-related death rates between the Colorado adult population and Veterans. METHODS: 2009-2020 suicide, alcohol-related, and/or drug-related deaths were identified using qualifying multiple cause-of-death International Classification of Disease (ICD)-10 codes in CDC WONDER for the general adult population and Colorado death data for Veteran populations. Age and race adjusted rates were calculated to compare risk overall and by mortality type (i.e., suicide, alcohol-related, drug-related). In Veteran decedents, age-adjusted rates were stratified by rurality and community distress, measured by the Distressed Communities Index. Standardized mortality ratios were calculated to measure spatial autocorrelation and identify clusters using global and local Moran's I, respectively. RESULTS: 6.4% of Colorado Veteran deaths (n = 6948) were identified as being related to suicide, alcohol, or drugs. Compared to rates in the general population of Colorado adults, Veterans had 1.8 times higher rates of such deaths overall (2.1 times higher for suicide, 1.8 times higher for alcohol-related, 1.3 times higher for drug-related). Among Veterans, community distress was associated with an increased risk of alcohol-related [age-adjusted rate per 100,000 (95% CI) = 129.6 (89.9-193.1)] and drug-related deaths [95.0 (48.6-172.0)]. This same significant association was not identified among those that died by suicide. Rurality was not associated with risk for any of the deaths of interest. There was significant spatial clustering for alcohol-related deaths in southeast Colorado. CONCLUSIONS: Colorado Veterans have higher rates of deaths due to suicide, alcohol-related, and drug-related causes compared to members of the general adult population. Upstream prevention efforts, such as community-based interventions targeting alcohol-use and community economic distress, are warranted. More research is also needed to understand how community distress and other social determinants of health impact the community burden of suicide, alcohol-related, and drug-related mortality.

Trends in suicide rates by race and ethnicity among members of the United States Army.

Efforts were focused on identifying differences in suicide rates and time-dependent hazard rate trends, overall and within age groups, by race and ethnicity among United States Army members who returned from an index deployment (October 2007 to September 2014). This retrospective cohort study was conducted using an existing longitudinal database, the Substance Use and Psychological Injury Combat Study (SUPIC). Demographic (e.g., race and ethnicity) and military data from the Department of Defense compiled within SUPIC, as well as Department of Veterans Affairs data were linked with National Death Index records (through 2018) to identify deaths by suicide including those that occurred after military service. The cohort included 860,930 Army Service members (Active Duty, National Guard, and Reserve). Age-adjusted (using the direct standardization method) and age-specific suicide rates per 100,000 person years were calculated and rate ratios (RR) were used for comparisons. Trends were evaluated using hazard rates over time since the end of individuals' index deployments. Among those aged 18-29 at the end of their index deployment, the suicide rate for American Indian/Alaskan Native (AI/AN) individuals was 1.51 times higher (95% confidence interval [CI]: 1.03, 2.14) compared to White non-Hispanic individuals (WNH), and lower for Hispanic and Black non-Hispanic (BNH) than for WNH individuals (RR = 0.65 [95% CI: 0.55, 0.77] and RR = 0.71 [95% CI: 0.61, 0.82], respectively). However, analyses revealed increasing trends in hazard rates post-deployment (≤ 6.5 years) within groups of Hispanic and BNH individuals (Average Annual Percent Change [APC]: 12.1% [95% CI: 1.3%, 24.1%] and 11.4% [95% CI: 6.9%, 16.0%], respectively) with a smaller, increase for WNH individuals (APC: 3.1%; 95% CI: 0.1%, 6.1%). Findings highlight key subgroups at risk for post-deployment suicide (i.e., WNH, AI/AN and younger individuals), as well as heterogeneous trends overtime, with rates and trends varying within race and ethnic groups by age groups. Post-deployment suicide prevention efforts that address culturally relevant factors and social determinants of health associated with health inequities are needed.

Are We Undercounting the True Burden of Mortality Related to Suicide, Alcohol Use, or Drug Use? An Analysis Using Death Certificate Data From Colorado Veterans.

Knowledge regarding deaths due to suicide or alcohol- or drug-related causes may be limited by inconsistent and/or restrictive case definitions, resulting in concerns regarding validity of findings and underestimates of burden. In this proof-of-concept study, we assessed varying case definitions (suicide, alcohol-related, and drug-related mortality using underlying-cause-of-death (UCOD) versus multiple-cause-of-death (MCOD) International Classification of Diseases, Tenth Revision (ICD-10) codes) on the basis of counts and rates among Colorado veterans who died (2009-2020). Suicide, alcohol-related, or drug-related ICD-10 codes were identified, and 2 case definitions were compared: UCOD (qualifying ICD-10 code listed as the UCOD) and MCOD (qualifying ICD-10 code in any cause-of-death field). Of 109,314 decedents, the number of deaths and the age-adjusted mortality rate (per 100,000 persons) significantly increased when MCOD codes were included: n = 4,930 (110.3 deaths/100,000 persons) for UCOD versus n = 6,954 (138.4 deaths/100,000 persons) for MCOD. While rates of suicide mortality did not change, rates of alcohol-related mortality doubled with the more inclusive case definition: 1,752 (27.3 deaths/100,000 persons) for UCOD versus 3,847 (59.8 deaths/100,000 persons) for MCOD. Alcohol-use disorder codes accounted for 71% of additional alcohol-related deaths captured with the MCOD definition. Studies that rely on UCOD codes may be underestimating the burden of deaths, especially alcohol-related deaths. Increased effort is required to reevaluate current classifications of deaths associated with suicide, alcohol use, or drug use.

Time-dependent suicide rates among Army soldiers returning from an Afghanistan/Iraq deployment, by military rank and component.

BACKGROUND: To date, knowledge is limited regarding time-dependent suicide risk in the years following return from deployment and whether such rates vary by military rank (i.e., enlisted, officer) or component (i.e., active duty, National Guard, reserve). To address these gaps in knowledge, the objectives of this study were to determine and compare postdeployment suicide rates and trends (percent change over time), and hazard rates for Army soldiers, by rank and component (measured at the end of the deployment). METHODS: Longitudinal cohort study of 860,930 Army soldiers returning from Afghanistan/Iraq deployment in fiscal years 2008-2014 from the Substance Use and Psychological Injury Combat study. Death by suicide was observed from the end of the first deployment in the study period through 2018 (i.e., the most recently available mortality data) for up to 11 years of follow-up. Analyses were conducted in 2021-2022. RESULTS: Adjusting for age, lowest-ranking Junior Enlisted (E1-E4) soldiers had a suicide rate 1.58 times higher than Senior Enlisted (E5-E9)/Warrant Officers (95% CI [1.24, 2.01]) and 2.41 times higher than Officers (95% CI [1.78, 3.29]). Suicide rates among lower-ranking enlisted soldiers remained elevated for 11 years postdeployment. Overall and annual postdeployment suicide rates did not differ significantly across components. Comparisons across rank and component for females were generally consistent with the full cohort results. CONCLUSIONS: Lower-ranking enlisted soldiers had the highest rate of suicide, underscoring the importance of understanding rank as it relates to social determinants of health. For over a decade following Afghanistan/Iraq deployment, lower-enlisted rank during deployment was associated with an elevated rate of suicide; thereby suggesting that postdeployment prevention interventions targeting lower-ranking military members are warranted.

Enhancing the health of NHS staff: eTHOS - protocol for a randomised controlled pilot trial of an employee health screening clinic for NHS staff to reduce absenteeism and presenteeism, compared with usual care.

BACKGROUND: Staff absenteeism and presenteeism incur high costs to the NHS and are associated with adverse health outcomes. The main causes are musculoskeletal complaints and mental ill-health, which are potentially modifiable, and cardiovascular risk factors are also common. We will test the feasibility of an RCT to evaluate the clinical and cost-effectiveness of an employee health screening clinic on reducing sickness absenteeism and presenteeism. METHODS: This is an individually randomised controlled pilot trial aiming to recruit 480 participants. All previously unscreened employees from four hospitals within three UK NHS hospital Trusts will be eligible. Those randomised to the intervention arm will be invited to attend an employee health screening clinic consisting of a screening assessment for musculoskeletal (STarT MSK and STarT Back), mental (PHQ-9 and GAD-7) and cardiovascular (NHS Health Check if aged ≥ 40, lifestyle check if < 40 years) health. Screen positives will be given advice and/or referral to recommended services. Those randomised to the control arm will receive usual care. Participants will complete a questionnaire at baseline and 26 weeks; anonymised absenteeism and staff demographics will also be collected from personnel records. The co-primary outcomes are as follows: recruitment, referrals and uptake of recommended services in the intervention arm. Secondary outcomes include the following: results of screening assessments, uptake of individual referrals, reported changes in health behaviours, acceptability and feasibility of intervention, indication of contamination and costs. Outcomes related to the definitive trial include self-reported and employee records of absenteeism with reasons. Process evaluation to inform a future trial includes interviews with participants, intervention delivery staff and service providers receiving referrals. Analyses will include presentation of descriptive statistics, framework analysis for qualitative data and costs and consequences presented for health economics. DISCUSSION: The study will provide data to inform the design of a definitive RCT which aims to find an effective and cost-effective method of reducing absenteeism and presenteeism amongst NHS staff. The feasibility study will test trial procedures, and process outcomes, including the success of strategies for including underserved groups, and provide information and data to help inform the design and sample size for a definitive trial. TRIAL REGISTRATION: ISRCTN reference number 10237475 .

Substance use and misuse patterns and disability status in the 2020 US National Alcohol Survey: A contributing role for chronic pain.

BACKGROUND: Evidence about substance use and misuse among adults with disabilities is still emerging, despite increased risk of chronic pain and mental health problems, which are in turn risk factors for substance use and misuse. OBJECTIVE: We examined substance use and misuse among adults with selected self-reported disability (versus without), controlling for sociodemographics, depression/anxiety, physical health, and chronic pain, and assessed whether associations could be attributed to chronic pain. METHODS: Data are from the nationally representative 2020 US National Alcohol Survey. Disability indicators included sensory or mobility impairment, receiving Medicare before age 65, and/or unemployment due to disability. Regression analyses determined associations of disability with past-year substance use and misuse. Mediation analyses examined the role of chronic pain. RESULTS: Approximately 18% met 1+ disability criterion, representing 42.8 million adults. Disability was associated with reduced odds of current drinking (OR = 0.77, p < 0.01), but greater odds of daily nicotine use (OR = 1.43, p < 0.01), any drug use (OR = 1.32 p < 0.01), prescription drug misuse (OR = 1.99, p < 0.001), and other drug use (OR = 2.02, p < 0.001). Disability was not associated with high-intensity drinking or marijuana use. Chronic pain accounted for 17-38% of the association between disability and nicotine use, any drug use, prescription drug misuse, and other drug use. CONCLUSIONS: Findings indicated higher rates of substance use and misuse among people with disabilities, accounting for depression/anxiety, physical health, and chronic pain, with pain being a significant mediator. Substance use screening, brief intervention, and treatment should include appropriate accommodations for disabilities, inclusive of comprehensive pain management options.

Accuracy and cost-effectiveness of different screening strategies for identifying undiagnosed COPD among primary care patients (≥40 years) in China: a cross-sectional screening test accuracy study: findings from the Breathe Well group.

OBJECTIVES: To examine the accuracy and cost-effectiveness of various chronic obstructive pulmonary disease (COPD) screening tests and combinations within a Chinese primary care population. DESIGN: Screening test accuracy study. SETTING: Urban and rural community health centres in four municipalities of China: Beijing (north), Chengdu (southwest), Guangzhou (south) and Shenyang (northeast). PARTICIPANTS: Community residents aged 40 years and above who attended community health centres for any reason were invited to participate. 2445 participants (mean age 59.8 (SD 9.6) years, 39.1% (n=956) male) completed the study (February-December 2019), 68.9% (n=1684) were never-smokers and 3.6% (n=88) had an existing COPD diagnosis. 13.7% (n=333) of participants had spirometry-confirmed airflow obstruction. INTERVENTIONS: Participants completed six index tests (screening questionnaires (COPD Diagnostic Questionnaire, COPD Assessment in Primary Care To Identify Undiagnosed Respiratory Disease and Exacerbation Risk (CAPTURE), Chinese Symptom-Based Questionnaire (C-SBQ), COPD-SQ), microspirometry (COPD-6), peak flow (model of peak flow meters used in the study (USPE)) and the reference test (ndd Easy On-PC). PRIMARY AND SECONDARY OUTCOMES: Cases were defined as those with forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) below the lower limit of normal (LLN-GLI) on the reference test. Performance of individual screening tests and their combinations was evaluated, with cost-effectiveness analyses providing cost per additional true case detected. RESULTS: Airflow measurement devices (sensitivities 64.9% (95% CI 59.5% to 70.0%) and 67.3% (95% CI 61.9% to 72.3%), specificities 89.7% (95% CI 88.4% to 91.0%) and 82.6% (95% CI 80.9% to 84.2%) for microspirometry and peak flow, respectively) generally performed better than questionnaires, the most accurate of which was C-SBQ (sensitivity 63.1% (95% CI 57.6% to 68.3%) specificity 74.2% (95% CI 72.3% to 76.1%)). The combination of C-SBQ and microspirometry used in parallel maximised sensitivity (81.4%) (95% CI 76.8% to 85.4%) and had specificity of 68.0% (95% CI 66.0% to 70.0%), with an incremental cost-effectiveness ratio of £64.20 (CNY385) per additional case detected compared with peak flow. CONCLUSIONS: Simple screening tests to identify undiagnosed COPD within the primary care setting in China is possible, and a combination of C-SBQ and microspirometry is the most sensitive and cost-effective. Further work is required to explore optimal cut-points and effectiveness of programme implementation. TRIAL REGISTRATION NUMBER: ISRCTN13357135.

RHAPSODY, Biomarkers and Novel Clinical Trial design in type 2 diabetes (T2D) and prediabetes.

Developing a novel therapeutic product for the treatment of type 2 diabetes (T2D) is a long, resource-intensive process. Novel biomarkers could potentially aid clinical trial design by shortening clinical trials or enabling better prediction of at-risk populations and/or disease progression. Novel clinical trial designs could lead to reduced costs of development and less burden to patients, due to shorter trial duration, and/or less burdensome assessments.

Mortality From Forces of Nature Among Older Adults by Race/Ethnicity and Gender.

Older adults are especially vulnerable to disasters due to high rates of chronic illness, disability, and social isolation. Limited research examines how gender, race/ethnicity, and forces of nature-defined here as different types of natural hazards, such as storms and earthquakes-intersect to shape older adults' disaster-related mortality risk. We compare mortality rates among older adults (60+ years) in the United States across gender, race/ethnicity, and hazard type using the Centers for Disease Control and Prevention's Wonder database. Our results demonstrate that older adult males have higher mortality rates than females. American Indian/Alaska Native (AI/AN) males have the highest mortality and are particularly impacted by excessive cold. Mortality is also high among Black males, especially due to cataclysmic storms. To address disparities, messaging and programs targeting the dangers of excessive cold should be emphasized for AI/AN older adult males, whereas efforts to reduce harm from cataclysmic storms should target Black older adult males.

Community Advantage and Individual Self-Efficacy Promote Disaster Preparedness: A Multilevel Model among Persons with Disabilities.

Disaster preparedness initiatives are increasingly focused on building community resilience. Preparedness research has correspondingly shifted its attention to community-level attributes that can support a community's capacity to respond to and recover from disasters. While research at the community level is integral to building resilience, it may not address the specific barriers and motivators to getting individuals prepared. In particular, people with disabilities are vulnerable to disasters, yet research suggests that they are less likely to engage in preparedness behaviors. Limited research has examined what factors influence their ability to prepare, with no studies examining both the individual and community characteristics that impact these behaviors. Multilevel modeling thus offers a novel contribution that can assess both levels of influence. Using Los Angeles County community survey data from the Public Health Response to Emergent Threats Survey and the Healthy Places Index, we examined how social cognitive and community factors influence the relationship between disability and preparedness. Results from hierarchical linear regression models found that participants with poor health and who possessed activity limitations engaged in fewer preparedness behaviors. Self-efficacy significantly mediated the relationship between self-rated health and disaster preparedness. Living in a community with greater advantages, particularly with more advantaged social and housing attributes, reduced the negative association between poor self-rated health and preparedness. This study highlights the importance of both individual and community factors in influencing people with disabilities to prepare. Policy and programming should therefore be two-fold, both targeting self-efficacy as a proximal influence on preparedness behaviors and also addressing upstream factors related to community advantage that can create opportunities to support behavioral change while bolstering overall community resilience.

Nicotine preloading for smoking cessation: the Preloading RCT.

BACKGROUND: Nicotine preloading means using nicotine replacement therapy prior to a quit date while smoking normally. The aim is to reduce the drive to smoke, thereby reducing cravings for smoking after quit day, which are the main cause of early relapse. A prior systematic review showed inconclusive and heterogeneous evidence that preloading was effective and little evidence of the mechanism of action, with no cost-effectiveness data. OBJECTIVES: To assess (1) the effectiveness, safety and tolerability of nicotine preloading in a routine NHS setting relative to usual care, (2) the mechanisms of the action of preloading and (3) the cost-effectiveness of preloading. DESIGN: Open-label randomised controlled trial with examination of mediation and a cost-effectiveness analysis. SETTING: NHS smoking cessation clinics. PARTICIPANTS: People seeking help to stop smoking. INTERVENTIONS: Nicotine preloading comprised wearing a 21 mg/24 hour nicotine patch for 4 weeks prior to quit date. In addition, minimal behavioural support was provided to explain the intervention rationale and to support adherence. In the comparator group, participants received equivalent behavioural support. Randomisation was stratified by centre and concealed from investigators. MAIN OUTCOME MEASURES: The primary outcome was 6-month prolonged abstinence assessed using the Russell Standard. The secondary outcomes were 4-week and 12-month abstinence. Adverse events (AEs) were assessed from baseline to 1 week after quit day. In a planned analysis, we adjusted for the use of varenicline (Champix®; Pfizer Inc., New York, NY, USA) as post-cessation medication. Cost-effectiveness analysis took a health-service perspective. The within-trial analysis assessed health-service costs during the 13 months of trial enrolment relative to the previous 6 months comparing trial arms. The base case was based on multiple imputation for missing cost data. We modelled long-term health outcomes of smoking-related diseases using the European-study on Quantifying Utility of Investment in Protection from Tobacco (EQUIPT) model. RESULTS: In total, 1792 people were eligible and were enrolled in the study, with 893 randomised to the control group and 899 randomised to the intervention group. In the intervention group, 49 (5.5%) people discontinued preloading prematurely and most others used it daily. The primary outcome, biochemically validated 6-month abstinence, was achieved by 157 (17.5%) people in the intervention group and 129 (14.4%) people in the control group, a difference of 3.02 percentage points [95% confidence interval (CI) -0.37 to 6.41 percentage points; odds ratio (OR) 1.25, 95% CI 0.97 to 1.62; p = 0.081]. Adjusted for use of post-quit day varenicline, the OR was 1.34 (95% CI 1.03 to 1.73; p = 0.028). Secondary abstinence outcomes were similar. The OR for the occurrence of serious AEs was 1.12 (95% CI 0.42 to 3.03). Moderate-severity nausea occurred in an additional 4% of the preloading group compared with the control group. There was evidence that reduced urges to smoke and reduced smoke inhalation mediated the effect of preloading on abstinence. The incremental cost-effectiveness ratio at the 6-month follow-up for preloading relative to control was £710 (95% CI -£13,674 to £23,205), but preloading was dominant at 12 months and in the long term, with an 80% probability that it is cost saving. LIMITATIONS: The open-label design could partially account for the mediation results. Outcome assessment could not be blinded but was biochemically verified. CONCLUSIONS: Use of nicotine-patch preloading for 4 weeks prior to attempting to stop smoking can increase the proportion of people who stop successfully, but its benefit is undermined because it reduces the use of varenicline after preloading. If this latter effect could be overcome, then nicotine preloading appears to improve health and reduce health-service costs in the long term. Future work should determine how to ensure that people using nicotine preloading opt to use varenicline as cessation medication. TRIAL REGISTRATION: Current Controlled Trials ISRCTN33031001. FUNDING: This project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 22, No. 41. See the NIHR Journals Library website for further project information.

Prevalence of Pain Diagnoses and Burden of Pain Among Active Duty Soldiers, FY2012.

INTRODUCTION: Soldiers are at risk for acute and chronic pain due to the mental and physical challenges of military duties and ongoing training for force readiness. With the burden of pain on any individual attributable across pain sources, a broad perspective that goes beyond prior characterizations of pain is important. We aim to further the understanding of pain's effects among non-deployed active duty soldiers and the Military Health System (MHS), by describing prevalence of 10 painful conditions, reported pain levels, duration of pain and impact of pain on military duty limitations. METHODS: Data are from the MHS Data Repository including outpatient MHS direct care encounters, claims for outpatient purchased care from civilian providers, and vital records, for all soldiers continuously enrolled in TRICARE and not deployed in FY 2012. Ten pain-related diagnostic categories were conceptually derived for this analysis and identified using ICD-9-CM diagnostic codes. We report the FY 2012 prevalence at the soldier-level (N = 297,120) for each pain category as a primary diagnosis, as well as in any diagnostic position, and at the soldier-level for reported pain level, duration, and military duty limitations. Institutional Review Board approval was obtained prior to analyses. RESULTS: Overall, 63% of soldiers had at least one pain diagnosis and 59% had a primary pain diagnosis during FY 2012. Back and neck pain (22%), non-traumatic joint disorders (28%), and other musculoskeletal pain (30%) were the most frequent categories for primary diagnosis. Nearly two-thirds of soldiers had a primary pain diagnosis in more than one category, and 23% in four or more categories. Moderate or severe pain levels were reported at least once during the year by 55% of soldiers who had a primary pain diagnosis. In the subsample of soldiers with primary pain in the first quarter, duration and chronicity of pain diagnoses varied by pain category: the back and neck pain category was the most common for both persistent pain occurring in each quarter of FY 2012 (23%) and chronic pain lasting for at least 3 mo (62%). In most pain categories, the majority of soldiers were released without duty limitations. CONCLUSION: These data provide a deeper understanding of pain diagnoses and burden of pain among active duty soldiers. A substantial proportion of soldiers with pain diagnoses were seen for pain self-reported as only mild, or that did not result in significant restrictions in military duty limitations. However, given the prevalence of multiple pain diagnoses and common reports of moderate or severe pain and long duration, complex interventions may be required to minimize the effect of pain on force readiness. This encounters-based analysis is likely an underestimate of presence of pain, and does not include contextual factors that could better describe the true effect of pain among this population.

Who Participates in the Great ShakeOut? Why Audience Segmentation Is the Future of Disaster Preparedness Campaigns.

Background: In 2008, the Southern California Earthquake Center in collaboration with the U.S. Geological Survey Earthquake Hazards Program launched the first annual Great ShakeOut, the largest earthquake preparedness drill in the history of the United States. Materials and Methods: We collected online survey data from 2052 campaign registrants to assess how people participated, whether audience segments shared behavioral patterns, and whether these segments were associated with five social cognitive factors targeted by the ShakeOut campaign. Results: Participants clustered into four behavioral patterns. The Minimal cluster had low participation in all activities (range: 0-39% participation). The Basic Drill cluster only participated in the drop, cover and hold drill (100% participation). The Community-Oriented cluster, involved in the drill (100%) and other interpersonal activities including attending disaster planning meetings (74%), was positively associated with interpersonal communication (ß = 0.169), self-efficacy (ß = 0.118), outcome efficacy (ß = 0.110), and knowledge about disaster preparedness (ß = 0.151). The Interactive and Games cluster, which participated in the drill (79%) and two online earthquake preparedness games (53% and 75%), was positively associated with all five social cognitive factors studied. Conclusions: Our results support audience segmentation approaches to engaging the public, which address the strengths and weaknesses of different segments. Offering games may help "gamers" gain competencies required to prepare for disasters. Targeting the highly active Community-Oriented cluster for leadership roles could help build community resilience by encouraging others to become more involved in disaster planning. We propose that the days of single, national education campaigns without local variation should end.

Predictors of Army National Guard and Reserve members' use of Veteran Health Administration health care after demobilizing from OEF/OIF deployment.

This study described rates and predictors of Army National Guard and Army Reserve members' enrollment in and utilization of Veteran Health Administration (VHA) services in the 365 days following demobilization from an index deployment. We also explored regional and VHA facility variation in serving eligible members in their catchment areas. The sample included 125,434 Army National Guard and 48,423 Army Reserve members who demobilized after a deployment ending between FY 2008 and FY 2011. Demographic, geographic, deployment, and Military Health System eligibility were derived from Defense Enrollment Eligibility Reporting System and "Contingency Tracking System" data. The VHA National Patient Care Databases were used to ascertain VHA utilization and status (e.g., enrollee, TRICARE). Logistic regression models were used to evaluate predictors of VHA utilization as an enrollee in the year following demobilization. Of the study members demobilizing during the observation period, 56.9% of Army National Guard members and 45.7% of Army Reserve members utilized VHA as an enrollee within 12 months. Demographic, regional, health coverage, and deployment-related factors were associated with VHA enrollment and utilization, and significant variation by VHA facility was found. These findings can be useful in the design of specific outreach efforts to improve linkage from the Military Health System to the VHA.

Association of military deployment of a parent or spouse and changes in dependent use of health care services.

BACKGROUND: U.S. Armed Forces members and spouses report increased stress associated with combat deployment. It is unknown, however, whether these deployment stressors lead to increased dependent medication use and health care utilization. OBJECTIVE: To determine whether the deployment of Army active duty members (sponsors) is associated with changes in dependent health care utilization. DESIGN: A quasi-experimental, pre-post study of health care patterns of more than 55,000 nonpregnant spouses and 137,000 children of deployed sponsors and a comparison group of dependents. MEASURES: Changes in dependent total utilization in the military health system, and separately in military-provided and purchased care services in the year following the sponsors' deployment month for office visit services (generalist, specialist); emergency department visits; institutional stays; psychotropic medication (any, antidepressant, antianxiety, antistimulant classes). RESULTS: Sponsor deployment was associated with net increased use of specialist office visits (relative percent change 4.2% spouses; 8.8% children), antidepressants (6.7% spouses; 17.2% children), and antianxiety medications (14.2% spouses; 10.0% children; P<0.01) adjusting for group differences. Deployment was consistently associated with increased use of purchased care services, partially, or fully offset by decreased use of military treatment facilities. CONCLUSIONS: These results suggest that emotional or behavioral issues are contributing to increased specialist visits and reliance on medications during sponsors' deployments. A shift to receipt of services from civilian settings raises questions about coordination of care when families temporarily relocate, family preferences, and military provider capacity during deployment phases. Findings have important implications for the military health system and community providers who serve military families, especially those with children.