Use of Integrative Medicine in the United States Military Health System.
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ABSTRACT:
SUBMITTER: Madsen C
PROVIDER: S-EPMC5485330 | biostudies-other | 2017
REPOSITORIES: biostudies-other
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Project description:ObjectiveThe purpose of this article is to provide an essential overview of chiropractic services in United States military and veterans' health care systems.MethodsWe reviewed literature, legislation, and policies from 1936 through September 2021 pertaining to chiropractic services in the United States military and veterans' health systems. Using these sources and our combined experience in these systems, we identified fundamental themes in the delivery of chiropractic care in the health care systems of the Department of Defense (providing health care for active duty service members) and the Department of Veterans Affairs (providing health care for veterans) in main topic areas.ResultsWe identified 7 main topic areas relevant to the 2 systems: populations served by chiropractors; health care systems; integration; utilization and supply of chiropractic care; vetting of chiropractors; roles and evaluation of chiropractors; and oversight and leadership. Key information about chiropractic care in these systems was synthesized into the main topic areas. Benefits of high-quality within-system chiropractic care to active-duty service members and veterans are presented. The assets that within-system chiropractors bring to the Department of Defense and Department of Veterans Affairs health care systems are discussed for each main topic area.ConclusionThis article contains an essential overview of chiropractic services in the Department of Defense and the Department of Veterans Affairs. It offers clarity regarding the integration of chiropractic services into these health care systems and includes a 1-page brief of talking points that may help better inform ongoing discussions of chiropractic services in these 2 different but intertwined environments.
| S-EPMC8720651 | biostudies-literature
Project description:ObjectiveThe purpose of this report is to record noteworthy events that occurred during the early years of chiropractic in the United States Military Health System (MHS).MethodsWe used mixed methods to create this historical account, including documents, artifacts, research papers, and reports from personal experiences.ResultsChiropractic care was first included in the MHS in 1995, after years of legislative activity. The initial program was a 3-year study of the feasibility and advisability of integrating chiropractic in the MHS. This period was called the Chiropractic Health Care Demonstration Project; 20 pioneering chiropractors began their MHS journeys at 10 military bases in fiscal year 1995. The Demonstration Project was extended for 2 more years to gather research data, and 3 additional military facilities were added during those years to accomplish that purpose. The Demonstration Project concluded in 1999. In 2000, Congress approved the development of permanent chiropractic services and benefits for members of the uniformed services. These new clinics opened in 2002.ConclusionThis is the first article to chronicle the history of chiropractic in the MHS, and highlights some of the important events in the early years of chiropractors working within the MHS. Because of the efforts of the early MHS chiropractors to pave the way for a permanent chiropractic benefit for the deserving members of the United States uniformed services, chiropractic care is now offered at more than 60 United States military facilities.
| S-EPMC8074685 | biostudies-literature
Project description:IntroductionSmokeless tobacco (ST) use represents an important target for intervention in the U.S. military population because it impairs "military readiness" and harms the health of the military. This paper aims to provide a systematic review of ST studies conducted in the U.S. military population in order to assess the content of existing ST research in this population, provide estimates of prevalence and clinically relevant use patterns, and discuss how these findings might be used to guide future ST research among this population.MethodsWe reviewed articles published through December 2010 using PubMed and PsycINFO databases, Google Scholar, and any relevant articles' reference lists. Inclusion criteria included focus on a U.S. military sample, English language, measured tobacco use, and ST prevalence was reported or could be calculated. To the extent possible, each article was coded for demographics, socioeconomic status, prevalence, amount, frequency, and length of use, and quit intentions/attempts.ResultsThirty-nine articles met criteria for inclusion. Less than half focused primarily on ST use among military personnel. The remaining studies measured ST use in the context of other behaviors. Findings related to clinically relevant behaviors included a need for more cohort and intervention studies, a better understanding of ST use in combination with cigarettes (i.e., concurrent use), and identifying risk factors for ST initiation and use.DiscussionST use is prevalent among military personnel, as is concurrent use of cigarettes and ST. We provide a number of recommendations to guide future research in this important, yet understudied, area.
| S-EPMC3337533 | biostudies-literature
Project description:HMG-CoA reductase inhibitors (or "statins") are important and commonly used medications to lower cholesterol and prevent cardiovascular disease. Nearly half of patients stop taking statin medications one year after they are prescribed leading to higher cholesterol, increased cardiovascular risk, and costs due to excess hospitalizations. Identifying which patients are at highest risk for not adhering to long-term statin therapy is an important step towards individualizing interventions to improve adherence. Electronic health records (EHR) are an increasingly common source of data that are challenging to analyze but have potential for generating more accurate predictions of disease risk. The aim of this study was to build an EHR based model for statin adherence and link this model to biologic and clinical outcomes in patients receiving statin therapy. We gathered EHR data from the Military Health System which maintains administrative data for active duty, retirees, and dependents of the United States armed forces military that receive health care benefits. Data were gathered from patients prescribed their first statin prescription in 2005 and 2006. Baseline billing, laboratory, and pharmacy claims data were collected from the two years leading up to the first statin prescription and summarized using non-negative matrix factorization. Follow up statin prescription refill data was used to define the adherence outcome (> 80 percent days covered). The subsequent factors to emerge from this model were then used to build cross-validated, predictive models of 1) overall disease risk using coalescent regression and 2) statin adherence (using random forest regression). The predicted statin adherence for each patient was subsequently used to correlate with cholesterol lowering and hospitalizations for cardiovascular disease during the 5 year follow up period using Cox regression. The analytical dataset included 138 731 individuals and 1840 potential baseline predictors that were reduced to 30 independent EHR "factors". A random forest predictive model taking patient, statin prescription, predicted disease risk, and the EHR factors as potential inputs produced a cross-validated c-statistic of 0.736 for classifying statin non-adherence. The addition of the first refill to the model increased the c-statistic to 0.81. The predicted statin adherence was independently associated with greater cholesterol lowering (correlation = 0.14, p < 1e-20) and lower hospitalization for myocardial infarction, coronary artery disease, and stroke (hazard ratio = 0.84, p = 1.87E-06). Electronic health records data can be used to build a predictive model of statin adherence that also correlates with statins' cardiovascular benefits.
| S-EPMC5695792 | biostudies-literature
Project description:BackgroundCeftaroline fosamil is US Food and Drug Administration-approved for acute bacterial skin and skin structure infections and community-acquired bacterial pneumonia, but it is not known how ceftaroline is being used in real-world settings or how adverse effects (AEs) and mortality compare to clinical trials.ObjectiveThis study describes ceftaroline use, AEs, and mortality in US Veterans Health Administration (VHA) hospital patients.MethodsThis phase IV, population-based, epidemiologic study analyzed patients ≥18 years old who received one or more ceftaroline doses within 14 days of admission to 69 VHA hospitals in 41 US states/territories from 1 October 2010 to 30 September 2014. VHA repository data were linked using unique patient identifiers. Diagnoses and AEs were determined using ICD9-CM and CSS codes. Demographics, AEs within 30 days of therapy initiation, and all-cause in-hospital mortality were summarized using descriptive statistics.Results764 Patients met study criteria. Patients were 97% male and 56% White, with a median age of 61 years and a Charlson score of 6. Diagnoses included skin (40%), sepsis (30%), osteomyelitis (25%), diabetic foot (22%), pneumonia (16%), bacteremia (11%), endocarditis (6%), meningitis (2%), and device (2%) infections. Ceftaroline was used first-line (37%), second-line (56%), and third-line or greater (7%). Patients received ceftaroline a median of 3 days after hospital admission. All-cause in-hospital mortality rates were: overall (5%), skin (2%), sepsis (9%), osteomyelitis (3%), diabetic foot (1%), pneumonia (13%), bacteremia (6%), endocarditis (11%), meningitis (6%), and device (13%). Eosinophilia, leukopenia, leukocytosis, fibromyalgia, myalgia and myositis, and polymyalgia rates were <1% each.ConclusionsCeftaroline is used in VHA hospitals for various diagnoses. Mortality was low and comparable with rates from clinical trials. Additional studies comparing ceftaroline to other drugs used in similar situations are needed.
| S-EPMC5553123 | biostudies-literature
Project description:ObjectivesTo describe long-term national trends in health insurance coverage among US veterans from 2000 to 2016 in the context of recent health care reform.MethodsWe used 2000 to 2016 National Health Interview Survey data on veterans aged 18 to 64 years to examine trends in insurance coverage and uninsurance by year, income, and state Medicaid expansion status. We also explored the current proportions of veterans with each type of insurance by age group.ResultsThe percentage of veterans with private insurance decreased from 70.8% in 2000 to 56.9% in 2011, whereas between 2000 and 2016 Department of Veterans Affairs (VA) health care coverage (only) almost tripled, Medicaid (without concurrent TRICARE or private coverage) doubled, and TRICARE coverage of any type tripled. After 2011, the percentage of veterans who were uninsured decreased. In 2016, low-income veterans in Medicaid expansion states had double the Medicaid coverage (41.1%) of low-income veterans in nonexpansion states (20.1%).ConclusionsOur estimates, which are nationally representative of noninstitutionalized veterans, show marked increases in military-related coverage through TRICARE and VA health care. In 2016, only 7.2% of veterans aged 18 to 64 years and 3.7% of all veterans (aged 18 years or older) remained uninsured.
| S-EPMC5803799 | biostudies-literature
Project description:PurposeSmartphone technology offers a multitude of applications (apps) that provide a wide range of functions for healthcare professionals. Medical trainees are early adopters of this technology, but how they use smartphones in clinical care remains unclear. Our objective was to further characterize smartphone use by medical trainees at two United States academic institutions, as well as their prior training in the clinical use of smartphones.MethodsIn 2014, we surveyed 347 internal medicine and emergency medicine resident physicians at the University of Utah and Brigham and Women's Hospital about their smartphone use and prior training experiences. Scores (0%-100%) were calculated to assess the frequency of their use of general features (email, text) and patient-specific apps, and the results were compared according to resident level and program using the Mann-Whitney U-test.ResultsA total of 184 residents responded (response rate, 53.0%). The average score for using general features, 14.4/20 (72.2%) was significantly higher than the average score for using patient-specific features and apps, 14.1/44 (33.0%, P<0.001). The average scores for the use of general features, were significantly higher for year 3-4 residents, 15.0/20 (75.1%) than year 1-2 residents, 14.1/20 (70.5%, P=0.035), and for internal medicine residents, 14.9/20 (74.6%) in comparison to emergency medicine residents, 12.9/20 (64.3%, P= 0.001). The average score reflecting the use of patient-specific apps was significantly higher for year 3-4 residents, 16.1/44 (36.5%) than for year 1-2 residents, 13.7/44 (31.1%; P=0.044). Only 21.7% of respondents had received prior training in clinical smartphone use.ConclusionResidents used smartphones for general features more frequently than for patient-specific features, but patient-specific use increased with training. Few residents have received prior training in the clinical use of smartphones.
| S-EPMC4671182 | biostudies-literature
Project description:BackgroundLow-value care (LVC) is understudied in pediatric populations and in the Military Health System (MHS). This cross-sectional study applies previously developed measures of pediatric LVC diagnostic tests, procedures, and treatments to children receiving care within the direct and purchased care environments of the MHS.MethodsWe queried the MHS Data Repository (MDR) to identify children (n = 1,111,534) who received one or more of 20 previously described types of LVC in fiscal year 2015. We calculated the proportion of eligible children and all children who received the service at least once during fiscal year 2015. Among children eligible for each measure, we used logistic regressions to calculate the adjusted odds ratios (AOR) for receiving LVC at least once during fiscal year 2015 in direct versus purchased care.ResultsAll 20 measures of pediatric LVC were found in the MDR. Of the 1,111,534 eligible children identified, 15.41% received at least one LVC service, and the two most common procedures were cough and cold medications in children under 6 years and acid blockers for infants with uncomplicated gastroesophageal reflux. Eighteen of the 20 measures of pediatric LVC were eligible for comparison across care environments: 6 were significantly more likely to be delivered in direct care and 10 were significantly more likely to be delivered in purchased care. The greatest differences between direct and purchased care were seen in respiratory syncytial virus testing in children with bronchiolitis (AOR = 21.01, 95% CI = 12.23-36.10) and blood tests in children with simple febrile seizure (AOR = 24.44, 95% CI = 5.49-108.82). A notably greater difference of inappropriate antibiotic prescribing was seen in purchased versus direct care.ConclusionsSignificant differences existed between provision of LVC services in direct and purchased care, unlike previous studies showing little difference between publicly and privately insured children. In fiscal year 2015, 1 in 7 children received one of 20 types of LVC. These proportions are higher than prior estimates from privately and publicly insured children, suggesting the particular need to focus on decreasing wasteful care in the MHS. Collectively, these studies demonstrate the high prevalence of LVC in children and the necessity of reducing potentially harmful care in this vulnerable population.
| S-EPMC7441552 | biostudies-literature
Project description:Chronic pain is reported by 15% to 25% of children. Growing evidence from clinical samples suggests that complementary and alternative medicine (CAM) therapies are desired by families and may benefit some children with pain conditions. The objective of this study was to provide estimates of CAM use by children with pain in the United States.We analyzed data from the 2012 National Health Interview Survey (NHIS) to estimate patterns, predictors, and perceived benefits of CAM use among children 4 to 17 years of age with and without painful conditions in the United States. We used chi-square tests to compare the prevalence rates of CAM use among children with pain to CAM use among children without pain. Multivariable logistic regression was used to examine factors associated with CAM use within the group of children with pain conditions.Parents reported that 26.6% of children had pain conditions (eg, headache, abdominal, musculoskeletal pain) in the past year; of these children, 21.3% used CAM. In contrast, only 8.1% of children without pain conditions used CAM (?2, P < .001). CAM use among children with pain was associated with female sex (adjusted odds ratio [aOR] = 1.49, P = .005), higher income (aOR = 1.61, P = .027), and presence of 4+ comorbidities (aOR = 2.01, P = .013). Among children with pain who used CAM, the 2 most commonly used CAM modalities were biology-based therapies (47.3%) (eg, special diets and herbal supplements) and manipulative or body-based therapies (46.3%) (eg, chiropractic and massage).CAM is frequently used by children with pain in the United States, and many parents report benefits for their child's symptoms.
| S-EPMC5598558 | biostudies-other
Project description:Despite evidence linking increased risk of opioid use disorder with specific opioid-prescribing patterns, the relationship between these patterns and heroin use is less understood. This study aimed to determine whether dose and duration of opioid prescriptions predict subsequent heroin use in United States veterans. We analyzed data from 2002 to 2012 from the Veterans Aging Cohort Study, a prospective cohort study. We used inverse probability of censoring weighted Cox regression to examine the relationship between self-reported past year heroin use and 2 primary predictors: (1) prior receipt of a high-dose opioid prescription (≥90 mg morphine equivalent daily dose), and (2) prior receipt of a long-term opioid prescription (≥90 days). Heroin use was ascertained using most recent value of time-updated self-reported past year heroin use. Models were adjusted for HIV and hepatitis C virus infection status, sociodemographics, pain interference, posttraumatic stress disorder, depression, and use of marijuana, cocaine, methamphetamines, and unhealthy alcohol use. In the final model, prior receipt of a high-dose opioid prescription was associated with past year heroin use (adjusted hazard ratio use = 2.54, 95% confidence interval: 1.26-5.10), whereas long-term opioid receipt was not (adjusted hazard ratio = 1.09, 95% confidence interval: 0.75-1.57). Patients receiving high-dose opioid prescriptions should be monitored for heroin use. These findings support current national guidelines recommending against prescribing high-dose opioids for treating pain.
| S-EPMC6699915 | biostudies-literature