Following the children of depressed parents from childhood to adult life: A focus on mood and anxiety disorders.

Background: Parental depression increases risk for anxiety and depression in offspring. The transition from adolescence to adulthood is a common risk period for onset of such disorders. However, relatively few studies have considered development of these disorders from childhood to adulthood including multiple assessments during this transition period. Method: Offspring of depressed parents aged 9-17 years at baseline were followed prospectively for 13 years (n = 337). Average length of follow-up was 16 months between the first and second waves, 13 months between the second and third, and 8 years between the third and fourth. Current (3-month) psychopathology was assessed at each wave using diagnostic interviews. We derived estimates of 3-month prevalence, age at first diagnosis, course and comorbidity of disorders. Social functioning in adult life was assessed at the final wave and we assessed how prior and current disorder impacted adult functioning. Results: A quarter of young people met criteria for a mood disorder and a third for anxiety disorder at least once. Mood and anxiety disorder prevalence increased from 4.5% and 15.8% respectively in childhood (9-11 years) to 22.3% and 20.9% respectively by age 23-28. Increased prevalence across the transition from adolescence to adulthood was particularly marked in males, while prevalence increased earlier in adolescence in females. Age at first diagnosis varied widely (mood disorder mean = 16.5 years (range 9-26); anxiety disorder mean = 14.5 years (range 9-28)). Over half (52%) reported functional impairment in early adulthood, 31% harmful alcohol use, and 10% self-harm or a suicide attempt. Both previous and current mood or anxiety disorder were associated with functional impairment in early adulthood. Conclusions: There is a prolonged risk period for mood and anxiety disorders in this group, with prevalence peaking in early adulthood. This highlights the need for prolonged vigilance and effective targeted interventions in the offspring of depressed parents.

Improving Access to Care for Patients Taking Opioids for Chronic Pain: Recommendations from a Modified Delphi Panel in Michigan.

Purpose: About 5-8 million US patients take long-term opioid therapy for chronic pain. In the context of policies and guidelines instituted to reduce inappropriate opioid prescribing, abrupt discontinuations in opioid prescriptions have increased and many primary care clinics will not prescribe opioids for new patients, reducing access to care. This may result in uncontrolled pain and other negative outcomes, such as transition to illicit opioids. The objective of this study was to generate policy, intervention, and research recommendations to improve access to care for these patients. Participants and Methods: We conducted a RAND/UCLA Modified Delphi, consisting of workshops, background videos and reading materials, and moderated web-based panel discussions held September 2020-January 2021. The panel consisted of 24 individuals from across Michigan, identified via expert nomination and snowball recruitment, including clinical providers, health science researchers, state-level policymakers and regulators, care coordination experts, patient advocates, payor representatives, and community and public health experts. The panel proposed intervention, policy, and research recommendations, scored the feasibility, impact, and importance of each on a 9-point scale, and ranked all recommendations by implementation priority. Results: The panel produced 11 final recommendations across three themes: reimbursement reform, provider education, and reducing racial inequities in care. The 3 reimbursement-focused recommendations were highest ranked (theme average = 4.2/11), including the two top-ranked recommendations: increasing reimbursement for time needed to treat complex chronic pain (ranked #1/11) and bundling payment for multimodal pain care (#2/11). Four provider education recommendations ranked slightly lower (theme average = 6.2/11) and included clarifying the spectrum of opioid dependence and training providers on multimodal treatments. Four recommendations addressed racial inequities (theme average = 7.2/11), such as standardizing pain management protocols to reduce treatment disparities. Conclusion: Panelists indicated reimbursement should incentivize traditionally lower-paying evidence-based pain care, but multiple strategies may be needed to meaningfully expand access.

Meaning-centered pain coping skills training for patients with metastatic cancer: Results of a randomized controlled pilot trial.

OBJECTIVE: For patients with advanced cancer, pain is a common and debilitating symptom that can negatively impact physical, emotional, and spiritual well-being. This trial examined the feasibility and initial effects of Meaning-Centered Pain Coping Skills Training (MCPC), a cognitive-behavioral pain management intervention with an emphasis on enhancing meaning (i.e., a personal sense of purpose, worth, and significance) and peace. METHODS: We enrolled 60 adults with stage IV solid tumor cancers and moderate-severe pain between February 2021 and February 2022. Participants were randomized 1:1 to MCPC + usual care or usual care alone. Meaning-Centered Pain Coping Skills Training consisted of four weekly 60-min individual sessions via videoconference or telephone, delivered by a trained therapist using a manualized protocol. Participants completed validated measures of pain severity, pain interference, pain self-efficacy, spiritual well-being (i.e., meaning, peace, and faith), and psychological distress at baseline and 5-week and 10-week follow-ups. RESULTS: All feasibility metrics exceeded prespecified benchmarks. Fifty-eight percent of screened patients were eligible, and 69% of eligible patients consented. Of those assigned to MCPC, 93% completed all sessions and 100% of those who completed follow-ups reported using coping skills weekly. Retention was strong at 5-week (85%) and 10-week (78%) follow-ups. Meaning-Centered Pain Coping Skills Training participants reported better scores than control participants across outcome measures, including moderate-to-large sized differences at 10-week follow-up in pain severity (Cohen's d = -0.75 [95% confidence interval: -1.36, -0.14]), pain interference (d = -0.82 [-1.45, -0.20]), and pain self-efficacy (d = 0.74 [0.13, 1.35]). CONCLUSIONS: MCPC is a highly feasible, engaging, and promising approach for improving pain management in advanced cancer. Future efficacy testing is warranted. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04431830, registered 16 June 2020.

Polygenic Scores and Onset of Major Mood or Psychotic Disorders Among Offspring of Affected Parents.

OBJECTIVE: Family history is an established risk factor for mental illness. The authors sought to investigate whether polygenic scores (PGSs) can complement family history to improve identification of risk for major mood and psychotic disorders. METHODS: Eight cohorts were combined to create a sample of 1,884 participants ages 2-36 years, including 1,339 offspring of parents with mood or psychotic disorders, who were prospectively assessed with diagnostic interviews over an average of 5.1 years. PGSs were constructed for depression, bipolar disorder, anxiety, attention deficit hyperactivity disorder (ADHD), schizophrenia, neuroticism, subjective well-being, p factor, and height (as a negative control). Cox regression was used to test associations between PGSs, family history of major mental illness, and onsets of major mood and psychotic disorders. RESULTS: There were 435 onsets of major mood and psychotic disorders across follow-up. PGSs for neuroticism (hazard ratio=1.23, 95% CI=1.12-1.36), schizophrenia (hazard ratio=1.15, 95% CI=1.04-1.26), depression (hazard ratio=1.11, 95% CI=1.01-1.22), ADHD (hazard ratio=1.10, 95% CI=1.00-1.21), subjective well-being (hazard ratio=0.90, 95% CI=0.82-0.99), and p factor (hazard ratio=1.14, 95% CI=1.04-1.26) were associated with onsets. After controlling for family history, neuroticism PGS remained significantly positively associated (hazard ratio=1.19, 95% CI=1.08-1.31) and subjective well-being PGS remained significantly negatively associated (hazard ratio=0.89, 95% CI=0.81-0.98) with onsets. CONCLUSIONS: Neuroticism and subjective well-being PGSs capture risk of major mood and psychotic disorders that is independent of family history, whereas PGSs for psychiatric illness provide limited predictive power when family history is known. Neuroticism and subjective well-being PGSs may complement family history in the early identification of persons at elevated risk.

Variation in Clinical Characteristics and Longitudinal Outcomes in Individuals with Opioid Use Disorder Diagnosis Codes.

BACKGROUND: Patterns of opioid use vary, including prescribed use without aberrancy, limited aberrant use, and potential opioid use disorder (OUD). In clinical practice, similar opioid-related International Classification of Disease (ICD) codes are applied across this spectrum, limiting understanding of how groups vary by sociodemographic factors, comorbidities, and long-term risks. OBJECTIVE: (1) Examine how Veterans assigned opioid abuse/dependence ICD codes vary at diagnosis and with respect to long-term risks. (2) Determine whether those with limited aberrant use share more similarities to likely OUD vs those using opioids as prescribed. DESIGN: Longitudinal observational cohort study. PARTICIPANTS: National sample of Veterans categorized as having (1) likely OUD, (2) limited aberrant opioid use, or (3) prescribed, non-aberrant use based upon enhanced medical chart review. MAIN MEASURES: Comparison of sociodemographic and clinical factors at diagnosis and rates of age-adjusted mortality, non-fatal opioid overdose, and hospitalization after diagnosis. An exploratory machine learning analysis investigated how closely those with limited aberrant use resembled those with likely OUD. KEY RESULTS: Veterans (n = 483) were categorized as likely OUD (62.1%), limited aberrant use (17.8%), and prescribed, non-aberrant use (20.1%). Age, proportion experiencing homelessness, chronic pain, anxiety disorders, and non-opioid substance use disorders differed by group. All-cause mortality was high (44.2 per 1000 person-years (95% CI 33.9, 56.7)). Hospitalization rates per 1000 person-years were highest in the likely OUD group (831.5 (95% CI 771.0, 895.5)), compared to limited aberrant use (739.8 (95% CI 637.1, 854.4)) and prescribed, non-aberrant use (411.9 (95% CI 342.6, 490.4). The exploratory analysis reclassified 29.1% of those with limited aberrant use as having likely OUD with high confidence. CONCLUSIONS: Veterans assigned opioid abuse/dependence ICD codes are heterogeneous and face variable long-term risks. Limited aberrant use confers increased risk compared to no aberrant use, and some may already have OUD. Findings warrant future investigation of this understudied population.

Developing and validating a prediction model of adolescent major depressive disorder in the offspring of depressed parents.

BACKGROUND: Parental depression is common and is a major risk factor for depression in adolescents. Early identification of adolescents at elevated risk of developing major depressive disorder (MDD) in this group could improve early access to preventive interventions. METHODS: Using longitudinal data from 337 adolescents at high familial risk of depression, we developed a risk prediction model for adolescent MDD. The model was externally validated in an independent cohort of 1,384 adolescents at high familial risk. We assessed predictors at baseline and MDD at follow-up (a median of 2-3 years later). We compared the risk prediction model to a simple comparison model based on screening for depressive symptoms. Decision curve analysis was used to identify which model-predicted risk score thresholds were associated with the greatest clinical benefit. RESULTS: The MDD risk prediction model discriminated between those adolescents who did and did not develop MDD in the development (C-statistic = .783, IQR (interquartile range) = .779, .778) and the validation samples (C-statistic = .722, IQR = -.694, .741). Calibration in the validation sample was good to excellent (calibration intercept = .011, C-slope = .851). The MDD risk prediction model was superior to the simple comparison model where discrimination was no better than chance (C-statistic = .544, IQR = .536, .572). Decision curve analysis found that the highest clinical utility was at the lowest risk score thresholds (0.01-0.05). CONCLUSIONS: The developed risk prediction model successfully discriminated adolescents who developed MDD from those who did not. In practice, this model could be further developed with user involvement into a tool to target individuals for low-intensity, selective preventive intervention.

Factors associated with clinician treatment recommendations for patients with a new diagnosis of opioid use disorder.

BACKGROUND: This study examined factors associated with treatment recommendations for patients with a new diagnosis of opioid use disorder (OUD), comparing recommendations for patients with clear signs of OUD versus those with lower likelihood of OUD. METHODS: The study conducted a retrospective medical chart review in a randomly selected national sample of 520 Veteran Health Administration patients with a new opioid-related electronic health record (EHR) diagnosis from 2012 to 2017. The study categorized patients as having "high likelihood" or "lower likelihood of OUD" based on the presence or absence of clinician documentation in medical records of specific qualifying criteria (e.g., clinician documentation of patient meeting diagnostic criteria for OUD, etc). Analyses examined the association between baseline demographic and clinical characteristics with recommendations for medication and other treatments for OUD. RESULTS: Among patients with a new diagnosis of OUD, 28.7 % (n = 149) were recommended medication treatment, 52.5 % (n = 273) were recommended specialty substance use disorder (SUD) treatment, and 41.9 % (n = 218) were recommended treatment in non-SUD mental health settings. In adjusted models, high likelihood of OUD (AOR 8.31, 95 % CI 4.81-15.03) was strongly associated with the clinician recommending medications for OUD, while age 56-75 (compared to <35, AOR 0.36, 95 % CI 0.18-0.69), stimulant use disorder (AOR 0.28, 95 % CI 0.15-0.53), and rural residence (AOR 0.51, 95 % CI 0.30-0.85) were associated with lower likelihood of being recommended medication treatment. CONCLUSIONS: Differentiating among patients with EHR diagnoses of OUD to identify the subset with higher likelihood of underlying OUD is important to accurately understand OUD treatment rates and disparities. However, even among patients with a clear diagnosis of OUD, medication treatment is still recommended less often than other treatments, suggesting interventions are needed to encourage clinicians to prioritize medication treatment as a first-line treatment, especially for older, rural patients and those with polysubstance use.

Bad company: Loneliness longitudinally predicts the symptom cluster of pain, fatigue, and depression in older adults.

BACKGROUND: Pain, fatigue, and depression frequently co-occur as a symptom cluster. While commonly occurring in those with cancer and autoimmune disease, the cluster is also found in the absence of systemic illness or inflammation. Loneliness is a common psychosocial stressor associated with the cluster cross-sectionally. We investigated whether loneliness predicted the development of pain, fatigue, depression, and the symptom cluster over time. METHODS: Data from the Health and Retirement Study were used. We included self-respondents ≥50 year-old who had at least two measurements of loneliness and the symptom cluster from 2006-2016 (n = 5974). Time-varying loneliness was used to predict pain, fatigue, depression, and the symptom cluster in the subsequent wave(s) using generalized estimating equations (GEE) and adjusting for sociodemographic covariates, living arrangement, and the presence of the symptom(s) at baseline. RESULTS: Loneliness increased the odds of subsequently reporting pain (aOR 1.22, 95% CI 1.08, 1.37), fatigue (aOR 1.47, 95% CI 1.32, 1.65), depression (aOR 2.33, 95% CI 2.02, 2.68), as well as the symptom cluster (aOR 2.15, 95% CI 1.74, 2.67). The median time between the baseline and final follow-up measurement was 7.6 years (IQR 4.1, 8.2). CONCLUSIONS: Loneliness strongly predicts the development of pain, fatigue, and depression as well as the cluster of all three symptoms several years later in a large, nonclinical sample of older American adults. Future studies should examine the multiple pathways through which loneliness may produce this cluster, as well as examine whether other psychosocial stressors also increase risk. It is possible that interventions which address loneliness in older adults may prevent or mitigate the cluster of pain, fatigue, and depression.

ADHD in adults with recurrent depression.

BACKGROUND: Depression is highly heterogeneous in its clinical presentation. Those with attention deficit/hyperactivity disorder (ADHD) may be at risk of a more chronic and impairing depression compared to those with depression alone according to studies of young people. However, no studies to date have examined ADHD in recurrently depressed adults in mid-life. METHOD: In a sample of women in mid-life (n=148) taken from a UK based prospective cohort of adults with a history of recurrent depression, we investigated the prevalence of ADHD and the association of ADHD with clinical features of depression. RESULTS: 12.8% of the recurrently depressed women had elevated ADHD symptoms and 3.4% met DSM-5 diagnostic criteria for ADHD. None of the women reported having a diagnosis of ADHD from a medical professional. ADHD symptoms were associated with earlier age of depression onset, higher depression associated impairment, a greater recurrence of depressive episodes and increased persistence of subthreshold depression symptoms over the study period, higher levels of irritability and increased risk of self-harm or suicide attempt. ADHD symptoms were associated with increased risk of hospitalisation and receiving non-first-line antidepressant medication. LIMITATIONS: ADHD was measured using a questionnaire measure. We focussed on mothers in a longitudinal study of recurrent depression, so the findings may not apply to males or other groups. CONCLUSIONS: Higher ADHD symptoms appear to index a worse clinical presentation for depression. Clinical implications include that in women with early onset, impairing and recurrent depression, the possibility of underlying ADHD masked by depression needs to be considered.

Evaluation of Buprenorphine Rotation in Patients Receiving Long-term Opioids for Chronic Pain: A Systematic Review.

Importance: Individuals with chronic pain who use long-term opioid therapy (LTOT) are at risk of opioid use disorder and other harmful outcomes. Rotation to buprenorphine may be considered, but the outcomes of such rotation in this population have not been systematically reviewed. Objective: To synthesize the evidence on rotation to buprenorphine from full µ-opioid receptor agonists among individuals with chronic pain who were receiving LTOT, including the outcomes of precipitated opioid withdrawal, pain intensity, pain interference, treatment success, adverse events or adverse effects, mental health condition, and health care use. Evidence Review: PubMed, CINAHL, Embase, and PsycInfo were searched from inception through November 3, 2020, for peer-reviewed original English-language research that reported the prespecified outcomes of rotation from prescribed long-term opioids to buprenorphine among individuals with chronic pain. Two independent reviewers extracted data as well as assessed risk of bias and study quality according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines. Quality of evidence was assessed with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. Findings: A total of 22 studies were analyzed, of which 5 (22.7%) were randomized clinical trials, 7 (31.8%) were case-control or cohort studies, and 10 (45.5%) were uncontrolled pre-post studies, which involved 1616 unique participants (675 female [41.8%] and 941 male [58.2%] individuals). Six of the 22 studies (27.3%) were primary or secondary analyses of a large randomized clinical trial. Participants had diverse pain and opioid use histories. Rationale for buprenorphine rotation included inadequate analgesia, intolerable adverse effects, risky opioid regimens (eg, high dose and/or sedative coprescriptions), and aberrant opioid use. Most protocols were adapted from protocols for initiating treatment in patients with opioid use disorder and used buccal or sublingual buprenorphine. Very low-quality evidence suggested that buprenorphine rotation was associated with maintained or improved analgesia, with a low risk of precipitating opioid withdrawal. Steady-dose buprenorphine was better tolerated than tapered-dose buprenorphine. Adverse effects were manageable, and severe adverse events were rare. Only 2 studies evaluated mental health outcomes, but none evaluated health care use. Limitations included a high risk of bias in most studies. Conclusions and Relevance: In this systematic review, buprenorphine was associated with reduced chronic pain intensity without precipitating opioid withdrawal in individuals with chronic pain who were receiving LTOT. Future studies are necessary to ascertain the ideal starting dose, formulation, and administration frequency of buprenorphine as well as the best approach to buprenorphine rotation.

Brief Report: "I Didn't Really Have a Primary Care Provider Until I Got PrEP": Patients' Perspectives on HIV Preexposure Prophylaxis as a Gateway to Health Care.

BACKGROUND: HIV prevention is the primary goal of preexposure prophylaxis (PrEP); however, ancillary benefits may exist, including PrEP as an entry point to primary care. OBJECTIVE: To explore PrEP users' perspectives on how PrEP use relates to broader engagement in health care. DESIGN: In-depth qualitative interviews. PARTICIPANTS: We recruited PrEP users aged 18 years or older from a social media group for people interested in PrEP information and a Boston community health center specializing in health care for sexual and gender minorities. APPROACH: Inductive content analysis to identify emergent themes. KEY RESULTS: All 25 participants were men who have sex with men, whose mean age was 34 years, and 84% were White. Three major themes emerged: (1) accessing PrEP was a strong motivator for initial and continued engagement in health care, which for some evolved over time into accessing comprehensive primary care; (2) provider awareness and attitudes about PrEP influenced participants' ongoing engagement in health care; and (3) PrEP engendered a positive sense of control over users' personal health, giving them agency in reducing their risk of HIV and engaging in other aspects of their health. Quarterly PrEP visits helped participants establish and maintain a relationship with a primary care provider, access non-HIV-related care services, and feel empowered to keep themselves healthy. CONCLUSIONS: The benefits of PrEP extend beyond HIV prevention to broader engagement in health care, including new relationships with primary care providers and use of other preventive health care services. To maximize those benefits, efforts are needed to ensure that providers are aware, nonjudgmental, and supportive of PrEP use.

Primary Care Providers' Perspectives on Using Automated HIV Risk Prediction Models to Identify Potential Candidates for Pre-exposure Prophylaxis.

Identifying patients at increased risk for HIV acquisition can be challenging. Primary care providers (PCPs) may benefit from tools that help them identify appropriate candidates for HIV pre-exposure prophylaxis (PrEP). We and others have previously developed and validated HIV risk prediction models to identify PrEP candidates using electronic health records data. In the current study, we convened focus groups with PCPs to elicit their perspectives on using prediction models to identify PrEP candidates in clinical practice. PCPs were receptive to using prediction models to identify PrEP candidates. PCPs believed that models could facilitate patient-provider communication about HIV risk, destigmatize and standardize HIV risk assessments, help patients accurately perceive their risk, and identify PrEP candidates who might otherwise be missed. However, PCPs had concerns about patients' reactions to having their medical records searched, harms from potential breaches in confidentiality, and the accuracy of model predictions. Interest in clinical decision-support for PrEP was greatest among PrEP-inexperienced providers. Successful implementation of prediction models will require tailoring them to providers' preferences and addressing concerns about their use.

Investigating regions of shared genetic variation in attention deficit/hyperactivity disorder and major depressive disorder: a GWAS meta-analysis.

Attention deficit/hyperactivity disorder (ADHD) demonstrates a high level of comorbidity with major depressive disorder (MDD). One possible contributor to this is that the two disorders show high genetic correlation. However, the specific regions of the genome that may be responsible for this overlap are unclear. To identify variants associated with both ADHD and MDD, we performed a meta-analysis of GWAS of ADHD and MDD. All genome wide significant (p < 5 × 10-8) SNPs in the meta-analysis that were also strongly associated (p < 5 × 10-4) independently with each disorder were followed up. These putatively pleiotropic SNPs were tested for additional associations across a broad range of phenotypes. Fourteen linkage disequilibrium-independent SNPs were associated with each disorder separately (p < 5 × 10-4) and in the cross-disorder meta-analysis (p < 5 × 10-8). Nine of these SNPs had not been highlighted previously in either individual GWAS. Evidence supported nine of the fourteen SNPs acting as eQTL and two as brain eQTL. Index SNPs and their genomic regions demonstrated associations with other mental health phenotypes. Through conducting meta-analysis on ADHD and MDD only, our results build upon the previously observed genetic correlation between ADHD and MDD and reveal novel genomic regions that may be implicated in this overlap.

Investigating Friendship Difficulties in the Pathway from ADHD to Depressive Symptoms. Can Parent-Child Relationships Compensate?

Attention deficit/hyperactivity disorder (ADHD) is associated with friendship difficulties. This may partly account for the increasingly recognised association between ADHD and subsequent depression. Little is known about the types of friendship difficulties that could contribute to the association between ADHD and depressive symptoms and whether other relationships, such as parent-child relationships, can mitigate against potential adverse effects of friendship difficulties. In a representative UK school sample (n = 1712), three main features of friendship (presence of friends, friendship quality and characteristics of the individual's classroom friendship group) were assessed in a longitudinal study with two assessment waves (W1, W2) during the first year of secondary school (children aged 11-12 years). These friendship features (W1) were investigated as potential mediators of the prospective association between teacher-rated ADHD symptoms (W1) and self-rated depressive symptoms (W2) seven months later. Parent-child relationship quality (W1) was tested as a moderator of any indirect effects of ADHD on depression via friendship. ADHD symptoms were inversely associated with friendship presence, friendship quality and positive characteristics of classroom friendship groups. Depressive symptoms were inversely associated with presence and quality of friendships. Friendship quality had indirect effects in the association between ADHD and subsequent depressive symptoms. There was some evidence of moderated mediation, whereby indirect effects via friendship quality attenuated slightly as children reported warmer parent-child relationships. This highlights the importance of considering the quality of friendships and parent-child relationships in children with ADHD symptoms. Fostering good quality relationships may help disrupt the link between ADHD symptomology and subsequent depression risk.

Identifying individuals with opioid use disorder: Validity of International Classification of Diseases diagnostic codes for opioid use, dependence and abuse.

BACKGROUND: Policy evaluations and health system interventions often utilize International Classification of Diseases (ICD) codes of opioid use, dependence, and abuse to identify individuals with opioid use disorder (OUD) and assess receipt of evidence-based treatments. However, ICD codes may not map directly onto the Diagnostic and Statistical Manual of Mental Disorder (DSM-5) OUD criteria. This study investigates the positive predictive value of ICD codes in identifying patients with OUD. METHODS: We conducted a clinical chart review on a national sample of 520 Veterans assigned ICD-9 or ICD-10 codes for opioid use, dependence, or abuse from 2012 to 2017. We extracted evidence of DSM-5 OUD criteria and opioid misuse from clinical documentation in the month preceding and three months following initial ICD code listing, and categorized patients into: 1) high likelihood of OUD, 2) limited aberrant opioid use, 3) prescribed opioid use without evidence of aberrant use, and 4) insufficient information. Positive predictive value was calculated as the percentage of individuals with these ICD codes meeting high likelihood of OUD criteria upon chart review. RESULTS: Only 57.7 % of patients were categorized as high likelihood of OUD; 16.5 % were categorized as limited aberrant opioid use, 18.9 % prescribed opioid use without evidence of aberrant use, and 6.9 % insufficient information. CONCLUSIONS: Patients assigned ICD codes for opioid use, dependence, or abuse often lack documentation of meeting OUD criteria. Many receive long-term opioid therapy for chronic pain without evidence of misuse. Robust methods of identifying individuals with OUD are crucial to improving access to clinically appropriate treatment.

HIV Preexposure Prophylaxis and Sexual Satisfaction Among Men Who Have Sex With Men.

ABSTRACT: In this large online survey of primarily men who have sex with men, those who used preexposure prophylaxis reported greater sexual satisfaction than did nonusers, including sexual sensations, sexual presence/awareness, and sexual exchange. Person-centered care and messaging may require acknowledging that some people use preexposure prophylaxis for reasons beyond HIV prevention.

Unwelcome Companions: Loneliness Associates with the Cluster of Pain, Fatigue, and Depression in Older Adults.

Objective: Pain, fatigue, and depression commonly co-occur as a symptom cluster in pathological inflammatory states. Psychosocial stressors such as loneliness may lead to similar states through shared mechanisms. We investigated the association of loneliness with pain, fatigue, and depression in older adults. Methods: Using Health and Retirement Study data (N = 11,766), we measured cross-sectional prevalence of frequent, moderate to severe pain; severe fatigue; depressive symptoms; and co-occurrence of symptoms surpassing threshold levels (i.e., symptom cluster). Logistic regression models evaluated associations with loneliness. Results: Pain, fatigue, and depression were reported in 19.2%, 20.0%, and 15.3% of the total sample, respectively. The symptom cluster was seen in 4.9% overall; prevalence in lonely individuals was significantly increased (11.6% vs. 2.3%, p < .0001). After adjusting for demographic variables, loneliness associated with the symptom cluster (adjusted OR = 3.39, 95% CI = 2.91, 3.95) and each symptom (pain adjusted OR = 1.61, 95% CI = 1.48, 1.76; fatigue adjusted OR = 2.02, 95% CI = 1.85, 2.20; depression adjusted OR = 4.34, 95% CI = 3.93, 4.79). Discussion: Loneliness strongly associates with the symptom cluster of pain, fatigue, and depression. Further research should examine causal relationships and investigate whether interventions targeting loneliness mitigate pain, fatigue, and depression.

Caregiver support and place of death among older adults.

BACKGROUND/OBJECTIVES: As home becomes the most common place of death in the United States, information about caregiver support and place of death is critical to improve patient and caregiver experiences at end of life. We seek to examine (1) the association between family care availability and place of death; and (2) caregiving intensity associated with place of death. DESIGN: 2017 National Health and Aging Trends Study and National Study of Caregiving; nationally representative cross-sectional study of deceased older adults and last-month-of-life (LML) caregivers. SETTING: United States; all places of deaths. PARTICIPANTS: Three-hundred and seventy-five decedents and 267 LML caregivers. MEASUREMENTS: Place of death (home, hospital, and nursing or hospice facility), family care availability (spouse/partner, household size, number of daughters and sons), caregiving intensity (hours of help provided at LML and a binary indicator for high care-related emotional difficulty). RESULTS: 38.9% of older adults died at home, followed by hospital (33.1%), and nursing or hospice facility (28.0%). In an adjusted multinomial logistic regression, decedents with larger household size (odds ratio [OR]: 0.441; 95% confidence interval [CI]: 0.269-0.724) and more daughters (OR: 0.743 [95% CI: 0.575-0.958]) had lower odds of dying in nursing or hospice facility relative to dying at home. For older adults who died at home, caregivers provided 209.8 h of help at LML. In contrast, when death occurred in nursing or hospice facility, caregivers provided 91.6 fewer hours of help, adjusted for decedent and caregiver characteristics. Dying in hospital was associated with higher odds of caregiver emotional difficulty relative to home deaths (OR: 4.093 [95% CI: 1.623-10.323]). CONCLUSIONS: Household size and number of daughters are important determinants of place of death. Despite dying at home being associated with more hours of direct caregiving; caregiver emotional strain was experienced as higher for hospital deaths. Better support services for end-of-life caregivers might improve patient and caregiver experiences for home and hospital deaths.

Palliative Care for Older Adults with Multimorbidity in the Time of COVID 19.

Older adults with multimorbidity face difficulty accessing healthcare in the COVID era. Palliative care referral may be appropriate to provide additional support for symptoms, advance care planning, or caregiver distress. Since COVID, many palliative care providers have become more accessible through telehealth; however, older adults may have challenges with technology and require caregiver involvement to use. In the inpatient setting, palliative consult teams have assumed a greater role in daily communication with families who cannot visit the patient and in providing emotional support to front-line colleagues. Busy primary clinicians have embraced these efforts, but challenges remain to sustaining these changes.