Search

BackgroundLow back pain (LBP) is prevalent, management benefits from high-quality clinical practice guidelines, and yet LBP is a common source of low value care. The purpose of this retrospective cohort study was to examine the association between the type of initial contact health care provider (HCP), service utilization, and total episode cost for the management of LBP.MethodsEpisode of care was used to analyze a US national sample of LBP episodes completed in 2017-2019. A combined surgical and non-surgical (pooled) sample and a non-surgical sample were separately analyzed. The primary independent variable was the type of the initial contact HCP. Dependent measures included rate and timing of use of 14 types of health care services and total episode cost. The association between initial contact HCP, total episode cost and rate of prescription opioid and NSAID use was tested using a mixed effects model.ResultsThe study included 616,766 continuously insured individuals aged 18 years and older with 756,631 episodes of LBP involving 386,795 HCPs and incurring $1,010,495,291 in expenditures. A primary care or specialist HCP was initially contacted in 62.0% of episodes, with these episodes associated with early use of low-value services such as imaging, pharmacologic, and interventional services. A non-prescribing HCP was initially contacted in 32.5% of episodes with these episodes associated with early use of guideline recommended first line services.Each type of HCP emphasized different initial services with little indication of a stepped approach to managing LBP. Following adjustment for covariates chiropractors were associated with the lowest total episode cost. As an observational study of associations, numerous confounders may have impacted results.ConclusionsAn individual with LBP has different experiences based on the type of HCP initially contacted. Initial contact with primary care or specialist HCPs is associated with second- and third-line services provided before first line services, with little indication of a guideline recommended stepped approach to managing LBP. Increasing the likelihood of guideline- concordant, high-value care for LBP may require systemic changes to the health care delivery system. In the absence of red flags these changes may include increasing the proportion of individuals receiving early non-pharmacological treatment, either through improving direct access to non-prescribing HCPs or increasing timely referrals from primary care and specialist health care providers.

Residents of long-term care facilities are at risk for coronavirus disease. We report a surveillance exercise at such a facility in Pennsylvania, USA. After introduction of a testing strategy and other measures, this facility had a 17-fold lower coronavirus disease case rate compared with those of neighboring facilities.

Psychiatric illness confers significant risk for severe COVID-19 morbidity and mortality; identifying psychiatric risk factors for vaccine hesitancy is critical to mitigating risk in this population. This study examined the prevalence of vaccine hesitancy among those with psychiatric illness and the associations between psychiatric morbidity and vaccine hesitancy. Data came from electronic health records and a patient survey obtained from 14,365 patients at a group medical practice between February and May, 2021. Logistic regression was used to calculate odds for vaccine hesitancy adjusted for sociodemographic characteristics and physical comorbidity. Of 14,365 participants 1,761 (12.3%) participants reported vaccine hesitancy. Vaccine hesitancy was significantly more prevalent among participants with substance use (29.6%), attention deficit and hyperactivity (23.3%), posttraumatic stress (23.1%), bipolar (18.0%), generalized anxiety (16.5%), major depressive (16.1%), other anxiety (15.5%), and tobacco use disorders (18.6%), and those previously infected with COVID-19 (19.8%) compared to participants without these disorders. After adjusting for sociodemographic characteristics and physical comorbidities, substance use disorders and tobacco use were significantly associated with increased odds for vaccine hesitancy and bipolar disorder was significantly inversely associated with vaccine hesitancy. Interventions to improve uptake in these populations may be warranted.

INTRODUCTION The health status and psychosocial needs of the Medicaid expansion population have been estimated but not measured. This population includes childless adults predicted to have high rates of mental illness, especially among the homeless. Given limitations in access to mental health services, it is unclear how prepared the U.S. health care system is to care for the needs of the expansion population. METHOD Using enrollment and claims data from the Minnesota Department of Human Services, this study presents prevalence rates of mental illness diagnoses and measures of unstable housing in Minnesota's childless-adult early Medicaid expansion population. Rates are compared with prior predictions of serious psychological distress and mental illness constructed from the National Survey on Drug Use and Health (NSDUH) using χ2 and t tests. RESULTS Diagnoses of mental illness in Minnesota's childless-adult early Medicaid expansion population were more than 15% higher than prevalence measures of mental illness/distress for the current Medicaid population. Diagnosis rates fell within confidence intervals of estimates of mental illness for Minnesota's Medicaid expansion population. Almost 1 in 3 enrollees had a marker of unstable housing; of this group, half had mental illness and/or distress. DISCUSSION Findings support predictions of the high burden of mental illness and unstable housing among the Medicaid expansion population. Minnesota offers lessons to other regions working to care for such populations: (a) the use of flexible financing structures to build integrated care systems and (b) passage of legislation to allow data sharing among mental health, social services, and medical care.

Immigrants and refugees are less likely to meet diabetes management goals than the general US population. Those with limited English proficiency (LEP) and who need interpreter services (IS) for health care encounters, maybe at higher risk for encountering barriers to optimal diabetes management, and while most receive diabetes care in primary care settings, little is known about the association between IS need and diabetes outcomes. This study aims to determine adherence with diabetes process and outcomes measures among LEP patients in primary care settings, and is a retrospective cohort study of patients with type II diabetes at two large primary care networks in Minnesota from January 1, 2012 through December 31, 2013. Diabetes outcome measure goals were defined as hemoglobin A1C

Purpose. We examined the relationships among fruit and vegetable intake, alcohol consumption, and socioeconomic status (SES). We hypothesized that fruit and vegetable consumption would be inversely associated with alcohol consumption and the relationship would differ by SES. Design. A cross-sectional analysis. Setting. Large, urban Midwestern county. Subjects. A unique, racially/ethnically diverse sample of 9959 adults (response rate: 66.3%). Measures. Fruit and vegetable intake was measured using two items that assessed servings per day. Alcohol consumption was measured in terms of volume of alcohol consumed and binge drinking. Individual measures of SES included education and household income. Analysis. Weighted multivariate linear and Poisson regression were used to estimate effects. Results. The relationship between fruit and vegetable intake and alcohol consumption varied by SES. Those with lower household incomes who consumed five or more servings of fruits and vegetables per day were less likely to engage in binge drinking relative to those consuming zero to one servings of fruits and vegetables per day (risk ratio = .66; 95% confidence interval: .46, .95). No association was observed for higher–household-income individuals. Conclusion. We observed an inverse relationship between fruit and vegetable consumption and alcohol intake in those with lower household incomes but not in those with higher household incomes. Results suggest that the relationship between diet and alcohol consumption may be more relevant in populations with more restricted economic choices. Results are, however, based on cross-sectional data.

Purpose. To learn how the local context may affect a city's ability to regulate alcohol products such as high–alcohol-content malt liquor, a beverage associated with heavy drinking and a spectrum of nuisance crimes in urban areas. Approach. An exploratory, qualitative case study comparing cities that adopted policies to restrict malt liquor sales with cities that considered, but did not adopt policies. Setting. Nine large U.S. cities in seven states. Participants. City legislators and staff, alcohol enforcement personnel, police, neighborhood groups, business associations, alcohol retailers, and industry representatives. Method. Qualitative data were obtained from key informant interviews (n = 56) and media articles (n = 360). The data were coded and categorized. Similarities and differences in major themes among and across Adopted and Considered cities were identified. Results. Cities faced multiple barriers in addressing malt liquor–related problems, including a lack of enforcement tools, alcohol industry opposition, and a lack of public and political will for alcohol control. Compared to cities that did not adopt malt liquor sales restrictions, cities that adopted restrictions appeared to have a stronger public mandate for a policy and were less influenced by alcohol industry opposition and lack of legislative authority for alcohol control. Strategies common to successful policymaking efforts are discussed. Conclusion. Understanding the local context may be a critical step in winning support for local alcohol control policies.

Missed appointments have been linked to adverse outcomes known to affect racial/ethnic minorities. However, the association of missed appointments with race/ethnicity has not been determined. We sought to determine the relationships between race/ethnicity and missed appointments by performing a cross-sectional study of 161 350 patients in a safety net health system. Several race/ethnicity categories were significantly associated with missed appointment rates, including Hispanic/Latino patients, American Indian/Alaskan Native patients, and Black/African American patients, as compared with White non-Hispanic patients. Other significant predictors included Mexico as country of origin, medical complexity, and major mental illness. We recommend additional research to determine which interventions best reduce missed appointments for minority populations in order to improve the care of vulnerable patients.

The household setting may be the most important level at which to understand the food choices of individuals and how healthful food choices can be promoted. However, there are few available measures of the food purchase behaviors of households and little consensus on the best way to measure it. This review explores the currently available measures of household food purchasing behavior. Three main measures are described, evaluated, and compared: home food inventories, food and beverage purchase records and receipts, and Universal Product Code bar code scanning. The development of coding, aggregation, and analytical methods for these measures of household food purchasing behavior is described. Currently, annotated receipts and records are the most comprehensive, detailed measure of household food purchasing behavior, and are feasible for population-based samples. Universal Product Code scanning is not recommended due to its cost and complexity. Research directions to improve household food purchasing behavior measures are discussed.

The neighborhoods where people live can influence their drinking behavior. We hypothesized that living in a neighborhood with lower median income, higher alcohol outlet density, and only liquor stores and no grocery stores would be associated with higher alcohol consumption after adjusting for individual demographic and lifestyle factors.We used two self-report measures to assess alcohol consumption in a sample of 9959 adults living in a large Midwestern county: volume of alcohol consumed (count) and binge drinking (5 or more drinks vs.5 drinks). We measured census tract median annual household income based on U.S. Census data. Alcohol outlet density was measured using the number of liquor stores divided by the census tract roadway miles. The mix of liquor and food stores in census tracts was assessed using a categorical variable based on the number of liquor and number of food stores using data from InfoUSA. Weighted hierarchical linear and Poisson regression were used to test our study hypothesis.Retail mix was associated with binge drinking. Individuals living in census tracts with only liquor stores had a 46% higher risk of binge drinking than individuals living in census tracts with food stores only after controlling for demographic and lifestyle factors.Census tract characteristics such as retail mix may partly explain variability in drinking behavior. Future research should explore the mix of stores, not just the over-concentration of liquor stores in census tracts.