Latent class analysis of health, social, and behavioral profiles associated with psychological distress among pregnant and postpartum women during the COVID-19 pandemic in the United States.

BACKGROUND: There is a growing body of literature documenting negative mental health impacts from the COVID-19 pandemic. The purpose of this study was to identify risk and protective factors associated with mental health and well-being among pregnant and postpartum women during the pandemic. METHODS: This was a cross-sectional, anonymous online survey study distributed to pregnant and postpartum (within 6 months) women identified through electronic health records from two large healthcare systems in the Northeastern and Midwestern United States. Survey questions explored perinatal and postpartum experiences related to the pandemic, including social support, coping, and health care needs and access. Latent class analysis was performed to identify classes among 13 distinct health, social, and behavioral variables. Outcomes of depression, anxiety, and stress were examined using propensity-weighted regression modeling. RESULTS: Fit indices demonstrated a three-class solution as the best fitting model. Respondents (N = 616) from both regions comprised three classes, which significantly differed on sleep- and exercise-related health, social behaviors, and mental health: Higher Psychological Distress (31.8%), Moderate Psychological Distress (49.8%), and Lower Psychological Distress (18.4%). The largest discriminatory issue was support from one's social network. Significant differences in depression, anxiety, and stress severity scores were observed across these three classes. Reported need for mental health services was greater than reported access. CONCLUSIONS: Mental health outcomes were largely predicted by the lack or presence of social support, which can inform public health decisions and measures to buffer the psychological impact of ongoing waves of the COVID-19 pandemic on pregnant and postpartum women. Targeted early intervention among those in higher distress categories may help improve maternal and child health.

Voices of Women With Lived Experience of Substance Use During Pregnancy: A Qualitative Study of Motivators and Barriers to Recruitment and Retention in Research.

Despite concerns about negative neurocognitive effects of in utero substance exposure on child and brain development, research in this area is limited. This study gathered perspectives of persons with lived experience of substance use (eg, alcohol, prescription and illicit opioids, and other illicit substances) during a previous pregnancy to determine facilitators and barriers to research engagement in this vulnerable population. We conducted structured, in-depth, individual interviews and 2 focus groups of adult persons with lived experience of substance use during a previous pregnancy. Questions were developed by clinical, research, bioethics, and legal experts, with input from diverse stakeholders. They inquired about facilitators and barriers to research recruitment and retention, especially in long-term studies, with attention to bio-sample and neuroimaging data collection and legal issues. Interviews and focus groups were audio-recorded, transcribed, and analyzed using inductive coding qualitative analysis methods. Ten participants completed in-depth interviews and 7 participated in focus groups. Three main themes emerged as potential barriers to research engagement: shame of using drugs while pregnant, fear of punitive action, and mistrust of health care and research professionals. Facilitative factors included trustworthiness, compassion, and a nonjudgmental attitude among research personnel. Inclusion of gender-concordant recovery peer support specialists as research team members was the most frequently identified facilitator important for helping participants reduce fears and bolster trust in research personnel. In this qualitative study, persons with lived experience of substance use during a previous pregnancy identified factors critical for engaging this population in research, emphasizing the involvement of peer support specialists as research team members.

Using artificial intelligence to support rapid, mixed-methods analysis: Developing an automated qualitative assistant (AQUA).

Context: Qualitative research - crucial for understanding human behavior - remains underutilized, in part due to the time and cost of annotating qualitative data (coding). Artificial intelligence (AI) has been suggested as a means to reduce those burdens. Older AI techniques (Latent Semantic Indexing / Latent Dirichlet Allocation (LSI/LDA)) have fallen short, in part because qualitative data is rife with idiom, non-standard expressions, and jargon. Objective: To develop an AI platform using updated techniques to augment qualitative data coding. Study Design and Analysis: We previously completed traditional qualitative analysis of a large dataset, with 11 qualitative categories and 72 subcategories (categories), and a final Cohen's kappa ≥ 0.65 as a measure of human inter-coder reliability (ICR) after coding. We built our Automated Qualitative Assistant (AQUA) using a semi-classical approach, replacing LSI/LDA with a graph-theoretic topic extraction and clustering method. AQUA was given the previously-identified qualitative categories and tasked with coding free-text data into those categories. Item coding was scored using cosine-similarity. Population Studied: Pennsylvanian adults. Instrument: Free-text responses to five open ended questions related to the COVID-19 pandemic (e.g. "What worries you most about the COVID-19 pandemic?"). Outcome Measures: AQUA's coding was compared to human coding using Cohen's kappa. This was done on all categories in aggregate, and also on category clusters to identify category groups amenable to AQUA support. AQUA's time to complete coding was compared to the time taken by the human coding team. Dataset: Five unlimited free-text survey answers from 538 responders. Results: AQUA's kappa for all categories was low (kappa~0.45), reflecting the challenge of automated analysis of diverse language. However, for several 3-category combinations (with less linguistic diversity), AQUA performed comparably to human coders, with an ICR kappa range of 0.62 to 0.72 based on test-train split. AQUA's analysis (including human interpretation) took approximately 5 hours, compared to approximately 30 person hours for traditional coding. Conclusions: AQUA enables qualitative researchers to identify categories amenable to automated coding, and to rapidly conduct that coding on the entirety of very large datasets. This saves time and money, and avoids limitations inherent in limiting qualitative analysis to limited samples of a given dataset.

External Validation of the COVID-NoLab and COVID-SimpleLab Prognostic Tools.

Our objective was to externally validate 2 simple risk scores for mortality among a mostly inpatient population with COVID-19 in Canada (588 patients for COVID-NoLab and 479 patients for COVID-SimpleLab). The mortality rates in the low-, moderate-, and high-risk groups for COVID-NoLab were 1.1%, 9.6%, and 21.2%, respectively. The mortality rates for COVID-SimpleLab were 0.0%, 9.8%, and 20.0%, respectively. These values were similar to those in the original derivation cohort. The 2 simple risk scores, now successfully externally validated, offer clinicians a reliable way to quickly identify low-risk inpatients who could potentially be managed as outpatients in the event of a bed shortage. Both are available online (https://ebell-projects.shinyapps.io/covid_nolab/ and https://ebell-projects.shinyapps.io/COVID-SimpleLab/).

The relationship between police contacts for drug use-related crime and future arrests, incarceration, and overdoses: a retrospective observational study highlighting the need to break the vicious cycle.

BACKGROUND: Individuals with substance use disorder often encounter law enforcement due to drug use-related criminal activity. Traditional policing approaches may not be effective for reducing recidivism and improving outcomes in this population. Here, we describe the impact of traditional policing approach to drug use-related crime on future recidivism, incarceration, and overdoses. METHODS: Using a local Police Department (PD) database, we identified individuals with a police contact with probable cause to arrest for a drug use-related crime ("index contact"), including for an opioid-related overdose, between September 1, 2015, and August 31, 2016 (Group 1, N = 52). Data on police contacts, arrests, and incarceration 12 months before and after the index contact were extracted and compared using Fisher's exact or Wilcoxon signed-rank tests. County-level data on fatal overdoses and estimates of time spent by PD officers in index contact-related responses were also collected. To determine whether crime-related outcomes changed over time, we identified a second group (Group 2, N = 263) whose index contact occurred between September 1, 2017, and August 31, 2020, and extracted data on police contacts, arrests, and incarceration during the 12 months prior to their index contact. Pre-index contact data between Groups 1 and 2 were compared with Fisher's exact or Mann-Whitney U tests. RESULTS: Comparison of data during 12 months before and 12 months after the index contact showed Group 1 increased their total number of overdose-related police contacts (6 versus 18; p = 0.024), incarceration rate (51.9% versus 84.6%; p = 0.001), and average incarceration duration per person (16.2 [SD = 38.6] to 50 days [SD = 72]; p < 0.001). In the six years following the index contact, 9.6% sustained a fatal opioid-related overdose. For Group 1, an average of 4.7 officers were involved, devoting an average total of 7.2 h per index contact. Comparison of pre-index contact data between Groups 1 and 2 showed similar rates of overdose-related police contacts and arrests. CONCLUSIONS: The results indicated that the traditional policing approach to drug use-related crime did not reduce arrests or incarceration and was associated with a risk of future overdose fatalities. Alternative law enforcement-led strategies, e.g., pre-arrest diversion-to-treatment programs, are urgently needed.

Risks of Severe COVID-19 Outcomes Among Patients With Diabetic Polyneuropathy in the United States.

CONTEXT: Diabetic neuropathy (DN) affects more than 50% of diabetic patients who are also likely to have compromised immune system and respiratory function, both of which can make them susceptible to the SARS-CoV-2 virus. OBJECTIVE: To assess the risk of severe COVID-19 illness among adults with DN, compared with those with no DN and those with no diabetes. SETTING: The analysis utilized electronic health records from 55 US health care organizations in the TriNetX research database. DESIGN: A retrospective cohort study. PARTICIPANTS: The analysis included 882 650 adults diagnosed with COVID-19 in January 2020 to June 2021, including 16 641 with DN, 81 329 with diabetes with no neuropathy, and 784 680 with no diabetes. OUTCOME MEASURES: The presence of health care utilization (admissions to emergency department, hospital, intensive care unit), 30-day mortality, clinical presentation (cough, fever, hypoxemia, dyspnea, or acute respiratory distress syndrome), and diagnostic test results after being infected affected by COVID-19. RESULTS: The DN cohort was 1.19 to 2.47 times more likely than the non-DN cohorts to utilize care resources, receive critical care, and have higher 30-day mortality rates. Patients with DN also showed increased risk (1.13-2.18 times) of severe symptoms, such as hypoxemia, dyspnea, and acute respiratory distress syndrome. CONCLUSIONS: Patients with DN had a significantly greater risk of developing severe COVID-19-related complications than those with no DN. It is critical for the public health community to continue preventive measures, such as social distancing, wearing masks, and vaccination, to reduce infection rates, particularly in higher risk groups, such as those with DN.

Adjunctive osteopathic therapy for hospitalized COVID-19 patients: A feasibility-oriented chart review study with matched controls.

Background: Osteopathic manipulative treatment (OMT) may improve outcomes during COVID-related respiratory distress - the most common cause of death from novel coronavirus (SARS-CoV-2). Outcomes from OMT treatments of respiratory distress during the COVID-19 pandemic have not been reported. Objective: Assess adjunctive OMT in hospitalized patients with SARS-CoV-2 and respiratory distress. Design: Feasibility oriented retrospective observational cohort study. Setting: COVID-19 (non-ICU) ward in a tertiary academic medical center. Methods: Inpatients received daily OMT treatments of rib raising, abdominal diaphragm doming, thoracic pump and pedal pump. Primary outcomes were procedural acceptance, satisfaction, side effects, and adverse events. Secondary outcomes were patient-reported clinical change after therapy; number of hospital days; need during hospitalization for high-flow oxygen, C-PAP/BiPAP or intensive care; need for supplementary oxygen at discharge; and discharge disposition. Participants: Hospitalized adults with SARS-CoV-2 infection and respiratory distress. Results: OMT (n = 27) and Control (n = 152) groups were similar in demographics and most laboratory studies. 90% of patients accepted OMT and reported high satisfaction (4.26/±0.71 (maximum 5)), few negative effects, no adverse events, and positive clinical change (5.07 ± 0.96 (maximum 7)). Although no significant differences were found in secondary outcomes, OMT patients trended towards fewer hospital days than Controls (p = 0.053; Cohen's d = 0.22), a relationship that trended towards correlation with number of co-morbidities (p = 0.068). Conclusion: Hospitalized patients with respiratory distress and COVID-19 reported acceptance, satisfaction, and greater ease of breathing after a four-part OMT protocol, and appear to have a shorter length of hospitalization. Randomized controlled trials are needed to confirm these results.

Knowledge, Perceptions, and Preferred Information Sources Related to COVID-19 Among Central Pennsylvania Adults Early in the Pandemic: A Mixed Methods Cross-Sectional Survey.

PURPOSE: To explore public knowledge, understanding of public health recommendations, perceptions, and trust in information sources related to COVID-19. METHODS: A cross-sectional survey of central Pennsylvanian adults evaluated self-reported knowledge, and a convergent, mixed methods design was used to assess beliefs about recommendations, intended behaviors, perceptions, and concerns related to infectious disease risk, and trust of information sources. RESULTS: The survey was completed by 5,948 adults. The estimated probability of correct response for the basic knowledge score, weighted with confidence, was 0.79 (95% CI, 0.79-0.80). Knowledge was significantly higher in patients with higher education and nonminority race. While the majority of respondents reported that they believed following CDC recommendations would decrease the spread of COVID-19 in their community and intended to adhere to them, only 65.2% rated social isolation with the highest level of belief and adherence. The most trusted information source was federal public health websites (42.8%). Qualitative responses aligned with quantitative data and described concerns about illness, epidemiologic issues, economic and societal disruptions, and distrust of the executive branch's messaging. The survey was limited by a lack of minority representation, potential selection bias, and evolving COVID-19 information that may impact generalizability and interpretability. CONCLUSIONS: Knowledge about COVID-19 and intended adherence to behavioral recommendations were high. There was substantial distrust of the executive branch of the federal government, however, and concern about mixed messaging and information overload. These findings highlight the importance of consistent messaging from trusted sources that reaches diverse groups.

Mindfulness-based interventions for substance use disorders.

BACKGROUND: Substance use disorders (SUDs) are highly prevalent and associated with a substantial public health burden. Although evidence-based interventions exist for treating SUDs, many individuals remain symptomatic despite treatment, and relapse is common.Mindfulness-based interventions (MBIs) have been examined for the treatment of SUDs, but available evidence is mixed. OBJECTIVES: To determine the effects of MBIs for SUDs in terms of substance use outcomes, craving and adverse events compared to standard care, further psychotherapeutic, psychosocial or pharmacological interventions, or instructions, waiting list and no treatment. SEARCH METHODS: We searched the following databases up to April 2021: Cochrane Drugs and Alcohol Specialised Register, CENTRAL, PubMed, Embase, Web of Science, CINAHL and PsycINFO. We searched two trial registries and checked the reference lists of included studies for relevant randomized controlled trials (RCTs). SELECTION CRITERIA: RCTs testing a MBI versus no treatment or another treatment in individuals with SUDs. SUDs included alcohol and/or drug use disorders but excluded tobacco use disorders. MBIs were defined as interventions including training in mindfulness meditation with repeated meditation practice. Studies in which SUDs were formally diagnosed as well as those merely demonstrating elevated SUD risk were eligible. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane. MAIN RESULTS: Forty RCTs met our inclusion criteria, with 35 RCTs involving 2825 participants eligible for meta-analysis. All studies were at high risk of performance bias and most were at high risk of detection bias. Mindfulness-based interventions (MBIs) versus no treatment Twenty-four RCTs included a comparison between MBI and no treatment. The evidence was uncertain about the effects of MBIs relative to no treatment on all primary outcomes: continuous abstinence rate (post: risk ratio (RR) = 0.96, 95% CI 0.44 to 2.14, 1 RCT, 112 participants; follow-up: RR = 1.04, 95% CI 0.54 to 2.01, 1 RCT, 112 participants); percentage of days with substance use (post-treatment: standardized mean difference (SMD) = 0.05, 95% CI -0.37 to 0.47, 4 RCTs, 248 participants; follow-up: SMD = 0.21, 95% CI -0.12 to 0.54, 3 RCTs, 167 participants); and consumed amount (post-treatment: SMD = 0.10, 95% CI -0.31 to 0.52, 3 RCTs, 221 participants; follow-up: SMD = 0.33, 95% CI 0.00 to 0.66, 2 RCTs, 142 participants). Evidence was uncertain for craving intensity and serious adverse events. Analysis of treatment acceptability indicated MBIs result in little to no increase in study attrition relative to no treatment (RR = 1.04, 95% CI 0.77 to 1.40, 21 RCTs, 1087 participants). Certainty of evidence for all other outcomes was very low due to imprecision, risk of bias, and/or inconsistency. Data were unavailable to evaluate adverse events. Mindfulness-based interventions (MBIs) versus other treatments (standard of care, cognitive behavioral therapy, psychoeducation, support group, physical exercise, medication) Nineteen RCTs included a comparison between MBI and another treatment. The evidence was very uncertain about the effects of MBIs relative to other treatments on continuous abstinence rate at post-treatment (RR = 0.80, 95% CI 0.45 to 1.44, 1 RCT, 286 participants) and follow-up (RR = 0.57, 95% CI 0.28 to 1.16, 1 RCT, 286 participants), and on consumed amount at post-treatment (SMD = -0.42, 95% CI -1.23 to 0.39, 1 RCT, 25 participants) due to imprecision and risk of bias. The evidence suggests that MBIs reduce percentage of days with substance use slightly relative to other treatments at post-treatment (SMD = -0.21, 95% CI -0.45 to 0.03, 5 RCTs, 523 participants) and follow-up (SMD = -0.39, 95% CI -0.96 to 0.17, 3 RCTs, 409 participants). The evidence was very uncertain about the effects of MBIs relative to other treatments on craving intensity due to imprecision and inconsistency. Analysis of treatment acceptability indicated MBIs result in little to no increase in attrition relative to other treatments (RR = 1.06, 95% CI 0.89 to 1.26, 14 RCTs, 1531 participants). Data were unavailable to evaluate adverse events. AUTHORS' CONCLUSIONS: In comparison with no treatment, the evidence is uncertain regarding the impact of MBIs on SUD-related outcomes. MBIs result in little to no higher attrition than no treatment. In comparison with other treatments, MBIs may slightly reduce days with substance use at post-treatment and follow-up (4 to 10 months). The evidence is uncertain regarding the impact of MBIs relative to other treatments on abstinence, consumed substance amount, or craving. MBIs result in little to no higher attrition than other treatments. Few studies reported adverse events.

Lower Intent to Comply with COVID-19 Public Health Recommendations Correlates to Higher Disease Burden in Following 30 Days.

OBJECTIVES: We sought to determine whether self-reported intent to comply with public health recommendations correlates with future coronavirus disease 2019 (COVID-19) disease burden. METHODS: A cross-sectional, online survey of US adults, recruited by snowball sampling, from April 9 to July 12, 2020. Primary measurements were participant survey responses about their intent to comply with public health recommendations. Each participant's intent to comply was compared with his or her local COVID-19 case trajectory, measured as the 7-day rolling median percentage change in COVID-19 confirmed cases within participants' 3-digit ZIP code area, using public county-level data, 30 days after participants completed the survey. RESULTS: After applying raking techniques, the 10,650-participant sample was representative of US adults with respect to age, sex, race, and ethnicity. Intent to comply varied significantly by state and sex. Lower reported intent to comply was associated with higher COVID-19 case increases during the following 30 days. For every 3% increase in intent to comply with public health recommendations, which could be achieved by improving average compliance by a single point for a single item, we estimate a 9% reduction in new COVID-19 cases during the subsequent 30 days. CONCLUSIONS: Self-reported intent to comply with public health recommendations may be used to predict COVID-19 disease burden. Measuring compliance intention offers an inexpensive, readily available method of predicting disease burden that can also identify populations most in need of public health education aimed at behavior change.

Treating Perioperative and Acute Pain in Patients on Buprenorphine: Narrative Literature Review and Practice Recommendations.

Opioid use disorder (OUD), a leading cause of morbidity and mortality in the USA, can be effectively treated with buprenorphine. However, the same pharmacologic properties (e.g., high affinity, partial agonism, long half-life) that make it ideal as a treatment for OUD often cause concern among clinicians that buprenorphine will prevent effective management of acute pain with full agonist opioid analgesics. Because of this concern, many patients are asked to stop buprenorphine preoperatively or at the onset of acute pain, placing them at high risk for both relapse and a difficult transition back to buprenorphine after acute pain has resolved. The purpose of this review is to summarize the existing literature for acute pain and perioperative management in patients treated with buprenorphine for OUD and to provide practical management recommendations for generalist practitioners based on evidence and clinical experience. In short, evidence suggests that sufficient analgesia can be achieved with maintenance of buprenorphine and use of both opioid and non-opioid analgesic options for breakthrough pain. We recommend that clinicians (1) continue buprenorphine in the perioperative or acute pain period for patients with OUD; (2) use a multi-modal analgesic approach; (3) pay attention to care coordination and discharge planning when making an analgesic plan for patients with OUD treated with buprenorphine; and (4) use an individualized approach founded upon shared decision-making. Clinical examples involving mild and severe pain are discussed to highlight important management principles.

Increasing system-wide implementation of opioid prescribing guidelines in primary care: findings from a non-randomized stepped-wedge quality improvement project.

BACKGROUND: Clinician utilization of practice guidelines can reduce inappropriate opioid prescribing and harm in chronic non-cancer pain; yet, implementation of "opioid guidelines" is subpar. We hypothesized that a multi-component quality improvement (QI) augmentation of "routine" system-level implementation efforts would increase clinician adherence to the opioid guideline-driven policy recommendations. METHODS: Opioid policy was implemented system-wide in 26 primary care clinics. A convenience sample of 9 clinics received the QI augmentation (one-hour academic detailing; 2 online educational modules; 4-6 monthly one-hour practice facilitation sessions) in this non-randomized stepped-wedge QI project. The QI participants were volunteer clinic staff. The target patient population was adults with chronic non-cancer pain treated with long-term opioids. The outcomes included the clinic-level percentage of target patients with a current treatment agreement (primary outcome), rates of opioid-benzodiazepine co-prescribing, urine drug testing, depression and opioid misuse risk screening, and prescription drug monitoring database check; additional measures included daily morphine-equivalent dose (MED), and the percentages of all target patients and patients prescribed ≥90 mg/day MED. T-test, mixed-regression and stepped-wedge-based analyses evaluated the QI impact, with significance and effect size assessed with two-tailed p < 0.05, 95% confidence intervals and/or Cohen's d. RESULTS: Two-hundred-fifteen QI participants, a subset of clinical staff, received at least one QI component; 1255 patients in the QI and 1632 patients in the 17 comparison clinics were prescribed long-term opioids. At baseline, more QI than comparison clinic patients were screened for depression (8.1% vs 1.1%, p = 0.019) and prescribed ≥90 mg/day MED (23.0% vs 15.5%, p = 0.038). The stepped-wedge analysis did not show statistically significant changes in outcomes in the QI clinics, when accounting for the comparison clinics' trends. The Cohen's d values favored the QI clinics in all outcomes except opioid-benzodiazepine co-prescribing. Subgroup analysis showed that patients prescribed ≥90 mg/day MED in the QI compared to comparison clinics improved urine drug screening rates (38.8% vs 19.1%, p = 0.02), but not other outcomes (p ≥ 0.05). CONCLUSIONS: Augmenting routine policy implementation with targeted QI intervention, delivered to volunteer clinic staff, did not additionally improve clinic-level, opioid guideline-concordant care metrics. However, the observed effect sizes suggested this approach may be effective, especially in higher-risk patients, if broadly implemented. TRIAL REGISTRATION: Not applicable.

Enhancing system-wide implementation of opioid prescribing guidelines in primary care: protocol for a stepped-wedge quality improvement project.

BACKGROUND: Systematic implementation of guidelines for opioid therapy management in chronic non-cancer pain can reduce opioid-related harms. However, implementation of guideline-recommended practices in routine care is subpar. The goal of this quality improvement (QI) project is to assess whether a clinic-tailored QI intervention improves the implementation of a health system-wide, guideline-driven policy on opioid prescribing in primary care. This manuscript describes the protocol for this QI project. METHODS: A health system with 28 primary care clinics caring for approximately 294,000 primary care patients developed and implemented a guideline-driven policy on long-term opioid therapy in adults with opioid-treated chronic non-cancer pain (estimated N = 3980). The policy provided multiple recommendations, including the universal use of treatment agreements, urine drug testing, depression and opioid misuse risk screening, and standardized documentation of the chronic pain diagnosis and treatment plan. The project team drew upon existing guidelines, feedback from end-users, experts and health system leadership to develop a robust QI intervention, targeting clinic-level implementation of policy-directed practices. The resulting multi-pronged QI intervention included clinic-wide and individual clinician-level educational interventions. The QI intervention will augment the health system's "routine rollout" method, consisting of a single educational presentation to clinicians in group settings and a separate presentation for staff. A stepped-wedge design will enable 9 primary care clinics to receive the intervention and assessment of within-clinic and between-clinic changes in adherence to the policy items measured by clinic-level electronic health record-based measures and process measures of the experience with the intervention. DISCUSSION: Developing methods for a health system-tailored QI intervention required a multi-step process to incorporate end-user feedback and account for the needs of targeted clinic team members. Delivery of such tailored QI interventions has the potential to enhance uptake of opioid therapy management policies in primary care. Results from this study are anticipated to elucidate the relative value of such QI activities.

Racial discrimination mediates race differences in sleep problems: A longitudinal analysis.

OBJECTIVES: To examine changes in sleep problems over a 1.5-year period among Black or African American (AA) and White or European American (EA) college students and to consider the role of racial discrimination as a mediator of race differences in sleep problems over time. METHOD: Students attending a large, predominantly White university (N = 133, 41% AA, 57% female, mean age = 18.8, SD = .90) reported on habitual sleep characteristics and experiences of racial discrimination at baseline and follow-up assessments. A latent variable for sleep problems was assessed from reports of sleep latency, duration, efficiency, and quality. Longitudinal models were used to examine race differences in sleep problems over time and the mediating role of perceived discrimination. Covariates included age, gender, parent education, parent income, body mass index, self-rated physical health, and depressive symptoms. Each of the individual sleep measures was also examined separately, and sensitivity analyses were conducted using alternative formulations of the sleep problems measure. RESULTS: AAs had greater increases in sleep problems than EAs. Perceived discrimination was also associated with increases in sleep problems over time and mediated racial disparities in sleep. This pattern of findings was similar when each of the sleep indicators was considered separately and held with alternative sleep problems measures. CONCLUSIONS: The findings highlight the importance of racial disparities in sleep across the college years and suggest that experiences of discrimination contribute to group disparities. (PsycINFO Database Record

Mindfulness Meditation and Cognitive Behavioral Therapy Intervention Reduces Pain Severity and Sensitivity in Opioid-Treated Chronic Low Back Pain: Pilot Findings from a Randomized Controlled Trial.

OBJECTIVE: To assess benefits of mindfulness meditation and cognitive behavioral therapy (CBT)-based intervention for opioid-treated chronic low back pain (CLBP). DESIGN: 26-week parallel-arm pilot randomized controlled trial (Intervention and Usual Care versus Usual Care alone). SETTING: Outpatient. SUBJECTS: Adults with CLBP, prescribed ≥30 mg/day of morphine-equivalent dose (MED) for at least 3 months. METHODS: The intervention comprised eight weekly group sessions (meditation and CLBP-specific CBT components) and 30 minutes/day, 6 days/week of at-home practice. Outcome measures were collected at baseline, 8, and 26 weeks: primary-pain severity (Brief Pain Inventory) and function/disability (Oswestry Disability Index); secondary-pain acceptance, opioid dose, pain sensitivity to thermal stimuli, and serum pain-sensitive biomarkers (Interferon-γ; Tumor Necrosis Factor-α; Interleukins 1ß and 6; C-reactive Protein). RESULTS: Thirty-five (21 experimental, 14 control) participants were enrolled and completed the study. They were 51.8 ± 9.7 years old, 80% female, with severe CLBP-related disability (66.7 ± 11.4), moderate pain severity (5.8 ± 1.4), and taking 148.3 ± 129.2 mg/day of MED. Results of the intention-to-treat analysis showed that, compared with controls, the meditation-CBT group reduced pain severity ratings during the study (P = 0.045), with between-group difference in score change reaching 1 point at 26 weeks (95% Confidence Interval: 0.2,1.9; Cohen's d = 0.86), and decreased pain sensitivity to thermal stimuli (P < 0.05), without adverse events. Exploratory analyses suggested a relationship between the extent of meditation practice and the magnitude of intervention benefits. CONCLUSIONS: Meditation-CBT intervention reduced pain severity and sensitivity to experimental thermal pain stimuli in patients with opioid-treated CLBP.

Racial and socioeconomic disparities in body mass index among college students: understanding the role of early life adversity.

The role of early life adversity (ELA) in the development of health disparities has not received adequate attention. The current study examined differential exposure and differential vulnerability to ELA as explanations for socioeconomic and racial disparities in body mass index (BMI). Data were derived from a sample of 150 college students (M age  = 18.8, SD = 1.0; 45 % African American; 55 % European American) who reported on parents' education and income as well as on exposure to 21 early adverse experiences. Body measurements were directly assessed to determine BMI. In adjusted models, African American students had higher BMI than European Americans. Similarly, background socioeconomic status was inversely associated with BMI. Significant mediation of group disparities through the pathway of ELA was detected, attenuating disparities by approximately 40 %. Furthermore, ELA was more strongly associated with BMI for African Americans than for European Americans. Efforts to achieve health equity may need to more fully consider early adversity.

Systems consultation: protocol for a novel implementation strategy designed to promote evidence-based practice in primary care.

BACKGROUND: Adoption of evidence-based practices takes place at a glacial place in healthcare. This research will pilot test an innovative implementation strategy - systems consultation -intended to speed the adoption of evidence-based practice in primary care. The strategy is based on tenets of systems engineering and has been extensively tested in addiction treatment. Three innovations have been included in the strategy - translation of a clinical practice guideline into a checklist-based implementation guide, the use of physician peer coaches ('systems consultants') to help clinics implement the guide, and a focus on reducing variation in practices across prescribers and clinics. The implementation strategy will be applied to improving opioid prescribing practices in primary care, which may help ultimately mitigate the increasing prevalence of opioid abuse and addiction. METHODS/DESIGN: The pilot test will compare four intervention clinics to four control clinics in a matched-pairs design. A leading clinical guideline for opioid prescribing has been translated into a checklist-based implementation guide in a systematic process that involved experts who wrote the guideline in consultation with implementation experts and primary care physicians. Two physicians with expertise in family and addiction medicine are serving as the systems consultants. Each systems consultant will guide two intervention clinics, using two site visits and follow-up communication by phone and email, to implement the translated guideline. Mixed methods will be used to test the feasibility, acceptability, and preliminary effectiveness of the implementation strategy in an evaluation that meets standards for 'fully developed use' of the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation, Maintenance). The clinic will be the primary unit of analysis. DISCUSSION: The systems consultation implementation strategy is intended to generalize to the adoption of other clinical guidelines. This pilot test is intended to prepare for a large randomized clinical trial that will test the strategy against other implementation strategies, such as audit/feedback and academic detailing, used to close the gap between knowledge and practice. The systems consultation approach has the potential to shorten the famously long time it takes to implement evidence-based practices and clinical guidelines in healthcare.

Mindfulness-based Interventions for Chronic Low Back Pain: A Systematic Review and Meta-analysis.

OBJECTIVE: This systematic review aimed to compile existing evidence examining the effects of mindfulness-based interventions (MBIs) for chronic low back pain (CLBP). CLBP leads to millions of disabled individuals in the United States each year. Current pharmacologic treatments are only modestly effective and may present long-term safety issues. MBIs, which have an excellent safety profile, have been shown in prior studies to be effective in treating CLBP yet remained underutilized. DESIGN: Ovid/Medline, PubMed, Embase, and the Cochrane Library were searched for randomized controlled trials (RCTs), pilot RCTs, and single-arm studies that explored the effectiveness of MBIs in CLBP. METHODS: Separate searches were conducted to identify trials that evaluated MBIs in reducing pain intensity in individuals with CLBP. A meta-analysis was then performed using R v3.2.2, Metafor package v 1.9-7. RESULTS: Eighteen studies used validated patient-reported pain outcome measures and were therefore included in the meta-analysis. The MBIs included mindfulness meditation, mindfulness-based stress reduction, mindfulness-based cognitive therapy, mindfulness-oriented recovery enhancement, acceptance and commitment therapy, dialectical behavioral therapy, meditation-cognitive behavioral therapy, mindfulness-based care for chronic pain, self-compassion course, and loving-kindness course. Pain intensity scores were reported using a numerical rating scale (0 to 10) or an equivalent scale. The meta-analysis revealed that MBIs have a beneficial effect on pain intensity with a large-sized effect in adults with CLBP. CONCLUSIONS: MBIs seem to be beneficial in reducing pain intensity. Although these results were informative, findings should be carefully interpreted due to the limited data the high variability in study methodologies, small sample sizes, inclusion of studies with high risk of bias, and reliance on pre-post treatment differences with no attention to maintenance of effects. More large-scale RCTs are needed to provide reliable effect size estimates for MBIs in persons with CLBP.