Association Between Opioid Tapering and Subsequent Health Care Use, Medication Adherence, and Chronic Condition Control.

Importance: Opioid tapering has been associated with negative consequences, such as increased overdoses and mental health needs. Tapering could also alter use of health care services and worsen care of comorbid conditions through disruption in primary care. Objective: To evaluate tapering of stable long-term opioid therapy (LTOT) and subsequent health care service use and chronic condition care. Design, Setting, and Participants: A retrospective cohort study was conducted from January 1, 2008, to December 31, 2019. Data analysis was performed from July 9, 2020, to December 9, 2022. Data from the Optum Labs Data Warehouse, which contains deidentified retrospective administrative claims data and linked electronic health record data for commercial and Medicare Advantage enrollees, were used. Adults aged 18 years or older prescribed stable doses of LTOT at 50 morphine milligram equivalents or more per day during a 12-month baseline period were included, including subcohorts with hypertension or diabetes. Exposures: Opioid tapering, with 15% or more relative reduction in mean daily dose in 6 overlapping periods during 6 months. Main Outcomes and Measures: Emergency department visits, hospitalizations, primary care and specialist visits, antihypertensive or antiglycemic medication adherence, and blood pressure and hemoglobin A1c levels during up to 12 months' follow-up. Covariates included sociodemographic characteristics, comorbidities, health care use, and chronic condition control. Results: Among 113 604 patients (60 764 [53.5%] women; mean [SD] age, 58.1 [11.8] years) prescribed LTOT, 41 207 had hypertension and 23 335 had diabetes; in all cohorts, approximately half were women, and half were aged 50 to 65 years. In the overall cohort, tapering was associated with more emergency department visits (adjusted incidence rate ratio [aIRR], 1.19; 95% CI, 1.16-1.21) and hospitalizations (aIRR, 1.16; 95% CI, 1.12-1.20), with similar magnitude associations in the hypertension and diabetes subcohorts. Tapering was associated with fewer primary care visits in the overall cohort (aIRR, 0.95; 95% CI, 0.94-0.96) and hypertension subcohort (aIRR, 0.98; 95% CI, 0.97-0.99). For the hypertension or diabetes subcohorts, tapering was associated with reduced medication adherence (hypertension: aIRR, 0.60; 95% CI, 0.59-0.62; diabetes: aIRR, 0.69; 95% CI, 0.67-0.71) and small increases in diastolic blood pressure and hemoglobin A1c level. Conclusions and Relevance: In this cohort study of patients prescribed LTOT, opioid tapering was associated with more emergency department visits and hospitalizations, fewer primary care visits, and reduced antihypertensive and antidiabetic medication adherence. These outcomes may represent unintended negative consequences of opioid tapering for policy makers and clinicians to consider.

The longitudinal relation of inflammation to incidence of vasomotor symptoms.

OBJECTIVE: Vasomotor symptoms (VMS), the most frequently reported symptoms during the menopausal transition, have been associated with inflammation. Whether inflammation is a risk factor for or a consequence of VMS remains unclear. The objectives of these analyses were to determine if elevated proinflammatory marker levels were associated with increased incident VMS in women without VMS at baseline and whether these associations varied by menopause transition stage or race/ethnicity. METHODS: We used longitudinal data on incident VMS, high-sensitivity C-reactive protein (hs-CRP; n = 1,922) and interleukin-6 (IL-6; n = 203) from 13 follow-up visits in the Study of Women's Health Across the Nation, which included five racial/ethnic groups of midlife women. We performed multivariable discrete-time survival analyses to determine adjusted hazard ratios (aHRs) for the association of these proinflammatory markers with incident VMS in women without VMS at baseline. RESULTS: We found no significant associations of incident VMS with dichotomized hs-CRP (>3 vs ≤3 mg/L) at baseline, concurrent or prior visit (aHRs, 1.04-2.03) or IL-6 (>1.44 vs ≤1.44 pg/mL) at visit 1, concurrent or prior visit (aHRs, 0.67-1.62), or continuous hs-CRP or IL-6 values over 13 follow-up visits (with nonsignificant adjusted increased hazards ranging from 0% to 2%). CONCLUSIONS: Our results showed no significant association of the proinflammatory biomarkers, hs-CRP or IL-6, either concurrently or with subsequent incident VMS, indicating that inflammation was unlikely to be a risk factor for VMS. Thus, clinical treatments directed at reducing inflammation would be unlikely to reduce the occurrence of VMS.

Patterns of Sexual Activity and the Development of Sexual Pain Across the Menopausal Transition.

OBJECTIVE: To examine whether patterns of sexual intercourse frequency and demographic, menopausal status, genitourinary, health, and psychosocial factors are associated with developing sexual pain across the menopausal transition. METHODS: These were longitudinal analyses of questionnaire data from the multicenter, multiracial and ethnic prospective cohort SWAN (Study of Women's Health Across the Nation) (1995-2008). We used multivariable discrete-time proportional hazards models to examine whether incident sexual pain was associated with preceding long-term (up to 10 visits) or short-term (two and three visits) sexual intercourse frequency patterns or other factors (eg, menopause status, genitourinary symptoms, lifestyle factors, and mental health). RESULTS: Of the 2,247 women with no sexual pain at baseline, 1,087 (48.4%) developed sexual pain at least "sometimes" up to 10 follow-up visits over 13 years. We found no consistent association between prior patterns of sexual intercourse frequency and development of sexual pain. For example, neither decreases in intercourse frequency from baseline (adjusted hazard ratio [aHR] 0.93, 95% CI 0.73-1.19) nor decreases in frequency over three prior visits (aHR 1.00, 95% CI 0.72-1.41) were associated with incident pain. Reasons for interruptions in intercourse activity at the prior visit, including lack of interest (aHR 1.64, 95% CI 0.74-3.65) and relationship issues (aHR 0.36, 95% CI 0.04-2.88), were not associated with developing pain. Being postmenopausal using hormone therapy (aHR 3.16, 95% CI 1.46-6.85), and reported vaginal dryness (aHR 3.73, 95% CI 2.88-4.83) were most strongly associated with incident sexual pain. CONCLUSION: Long-term and short-term declines in sexual intercourse frequency across the menopausal transition were not associated with increased hazard of developing pain with intercourse. This empirical evidence does not support the common belief that a reduction in women's sexual frequency is responsible for their symptoms of sexual pain.

Long-term Risk of Overdose or Mental Health Crisis After Opioid Dose Tapering.

Importance: Patients prescribed long-term opioid therapy are increasingly undergoing dose tapering. Recent studies suggest that tapering is associated with short-term risks of substance misuse, overdose, and mental health crisis, although lower opioid dose could reduce risks of adverse events over the longer term. Objective: To assess the longer-term risks of overdose or mental health crisis associated with opioid dose tapering. Design, Setting, and Participants: This is a cohort study using an exposure-crossover analysis. Data were obtained from the OptumLabs Data Warehouse, which includes deidentified medical and pharmacy claims and enrollment records for commercial insurance and Medicare Advantage enrollees, representing a diverse mixture of ages, races, ethnicities, and geographical regions across the US. Participants were US adults who underwent opioid dose tapering from 2008 to 2017 after a 12-month baseline period of stable daily dosing of 50 morphine milligram equivalents or higher and who had at least 1 month of long-term follow-up during a postinduction period beginning 12 months after taper initiation. Data analysis was performed from October 2021 to April 2022. Exposures: Opioid tapering, defined as 15% or more relative reduction in mean daily dose during any of 6 overlapping 60-day windows within a 7-month follow-up period after the stable baseline period. Main Outcomes and Measures: Emergency or hospital encounters for drug overdose or withdrawal and mental health crisis (depression, anxiety, or suicide attempt). Outcome counts were assessed in pretaper and postinduction periods (from 12 to 24 months after taper initiation). Results: The study included 21 515 tapering events among 19 377 patients with a mean (SD) of 9.1 (2.7) months of postinduction follow-up per event (median [IQR], 10 [8-11] months). Patients had a mean (SD) age of 56.9 (11.2) years, 11 581 (53.8%) were female, and 8217 (38.2%) had commercial insurance (vs Medicare Advantage). In conditional negative binomial regression analyses, adjusted incidence rate ratios for the postinduction period compared with the pretaper period were 1.57 (95% CI, 1.42-1.74) for overdose or withdrawal and 1.52 (95% CI, 1.35-1.71) for mental health crisis. Conclusions and Relevance: These findings suggest that opioid tapering was associated with increased rates of overdose, withdrawal, and mental health crisis extending up to 2 years after taper initiation.

Association of Dose Tapering With Overdose or Mental Health Crisis Among Patients Prescribed Long-term Opioids.

Importance: Opioid-related mortality and national prescribing guidelines have led to tapering of doses among patients prescribed long-term opioid therapy for chronic pain. There is limited information about risks related to tapering, including overdose and mental health crisis. Objective: To assess whether there are associations between opioid dose tapering and rates of overdose and mental health crisis among patients prescribed stable, long-term, higher-dose opioids. Design, Setting, and Participants: Retrospective cohort study using deidentified medical and pharmacy claims and enrollment data from the OptumLabs Data Warehouse from 2008 to 2019. Adults in the US prescribed stable higher doses (mean ≥50 morphine milligram equivalents/d) of opioids for a 12-month baseline period with at least 2 months of follow-up were eligible for inclusion. Exposures: Opioid tapering, defined as at least 15% relative reduction in mean daily dose during any of 6 overlapping 60-day windows within a 7-month follow-up period. Maximum monthly dose reduction velocity was computed during the same period. Main Outcomes and Measures: Emergency or hospital encounters for (1) drug overdose or withdrawal and (2) mental health crisis (depression, anxiety, suicide attempt) during up to 12 months of follow-up. Discrete time negative binomial regression models estimated adjusted incidence rate ratios (aIRRs) of outcomes as a function of tapering (vs no tapering) and dose reduction velocity. Results: The final cohort included 113 618 patients after 203 920 stable baseline periods. Among the patients who underwent dose tapering, 54.3% were women (vs 53.2% among those who did not undergo dose tapering), the mean age was 57.7 years (vs 58.3 years), and 38.8% were commercially insured (vs 41.9%). Posttapering patient periods were associated with an adjusted incidence rate of 9.3 overdose events per 100 person-years compared with 5.5 events per 100 person-years in nontapered periods (adjusted incidence rate difference, 3.8 per 100 person-years [95% CI, 3.0-4.6]; aIRR, 1.68 [95% CI, 1.53-1.85]). Tapering was associated with an adjusted incidence rate of 7.6 mental health crisis events per 100 person-years compared with 3.3 events per 100 person-years among nontapered periods (adjusted incidence rate difference, 4.3 per 100 person-years [95% CI, 3.2-5.3]; aIRR, 2.28 [95% CI, 1.96-2.65]). Increasing maximum monthly dose reduction velocity by 10% was associated with an aIRR of 1.09 for overdose (95% CI, 1.07-1.11) and of 1.18 for mental health crisis (95% CI, 1.14-1.21). Conclusions and Relevance: Among patients prescribed stable, long-term, higher-dose opioid therapy, tapering events were significantly associated with increased risk of overdose and mental health crisis. Although these findings raise questions about potential harms of tapering, interpretation is limited by the observational study design.

Longitudinal Dose Trajectory Among Patients Tapering Long-Term Opioids.

OBJECTIVE: To evaluate the dose trajectory of new opioid tapers and estimate the percentage of patients with sustained tapers at long-term follow-up. DESIGN: Retrospective cohort study. SETTING: Data from the OptumLabs Data Warehouse® which includes de-identified medical and pharmacy claims and enrollment records for commercial and Medicare Advantage enrollees, representing a diverse mixture of ages, ethnicities, and geographical regions across the United States. SUBJECTS: Patients prescribed stable, higher-dose opioids for ≥12 months from 2008 to 2018. METHODS: Tapering was defined as ≥15% relative reduction in average MME/day during any of six overlapping 60-day periods in the initial 7 months of follow-up after the period of stable baseline dosing. Average monthly dose was ascertained during consecutive 60-day periods up to 16 months of follow-up. Linear regression estimated the geometric mean relative dose by tapering status and follow-up duration. Poisson regression estimated the percentage of tapered patients with sustained dose reductions at follow-up and patient-level predictors of failing to sustain tapers. RESULTS: The sample included 113,618 patients with 203,920 periods of stable baseline dosing (mean follow-up = 13.7 months). Tapering was initiated during 37,170 follow-up periods (18.2%). After taper initiation, patients had a substantial initial mean dose reduction (geometric mean relative dose .73 [95% CI: .72-.74]) that was sustained through 16 months of follow-up; at which point, 69.8% (95% CI: 69.1%-70.4%) of patients who initiated tapers had a relative dose reduction ≥15%, and 14.2% (95% CI: 13.7%-14.7%) had discontinued opioids. Failure to sustain tapers was significantly less likely among patients with overdose events during follow-up (adjusted incidence rate ratio [aIRR]: .56 [95% CI: .48-.67]) and during more recent years (aIRR: .93 per year after 2008 [95% CI: .92-.94]). CONCLUSIONS: In an insured and Medicare Advantage population, over two-thirds of patients who initiated opioid dose tapering sustained long-term dose reductions, and the likelihood of sustaining tapers increased substantially from 2008 to 2018.

Primary Care Access to New Patient Appointments for California Medicaid Enrollees: A Simulated Patient Study.

PURPOSE: We undertook a study to evaluate variation in the availability of primary care new patient appointments for Medi-Cal (California Medicaid) enrollees in Northern California, and its relationship to emergency department (ED) use after Medicaid expansion. METHODS: We placed simulated calls by purported Medi-Cal enrollees to 581 primary care clinicians (PCCs) listed as accepting new patients in online directories of Medi-Cal managed care plans. Data from the California Health Interview Survey, Medi-Cal enrollment reports, and California hospital discharge records were used in analyses. We developed multilevel, mixed-effect models to evaluate variation in appointment access. Multiple linear regression was used to examine the relationship between primary care access and ED use by county. RESULTS: Availability of PCC new patient appointments to Medi-Cal enrollees lacking a PCC varied significantly across counties in the multilevel model, ranging from 77 enrollees (95% CI, 70-81) to 472 enrollees (95% CI, 378-628) per each available new patient appointment. Just 19% of PCCs had available appointments within the state-mandated 10 business days. Clinicians at Federally Qualified Health Centers had higher availability of new patient appointments (rate ratio = 1.56; 95% CI, 1.24-1.97). Counties with poorer PCC access had higher ED use by Medi-Cal enrollees. CONCLUSIONS: In contrast to findings from other states, access to primary care in Northern California was limited for new patient Medi-Cal enrollees and varied across counties, despite standard statewide reimbursement rates. Counties with more limited access to primary care new patient appointments had higher ED use by Medi-Cal enrollees.

Changing costs of type 1 diabetes care among US children and adolescents.

BACKGROUND: Modern therapy for type 1 diabetes (T1D) increasingly utilizes technology such as insulin pumps and continuous glucose monitors (CGMs). Prior analyses suggest that T1D costs are driven by preventable hospitalizations, but recent escalations in insulin prices and use of technology may have changed the cost landscape. METHODS: We conducted a retrospective analysis of T1D medical costs from 2012 to 2016 using the OptumLabs Data Warehouse, a comprehensive database of deidentified administrative claims for commercial insurance enrollees. Our study population included 9445 individuals aged ≤18 years with T1D and ≥13 months of continuous enrollment. Costs were categorized into ambulatory care, hospital care, insulin, diabetes technology, and diabetes supplies. Mean costs for each category in each year were adjusted for inflation, as well as patient-level covariates including age, sex, race, census region, and mental health comorbidity. RESULTS: Mean annual cost of T1D care increased from $11 178 in 2012 to $17 060 in 2016, driven primarily by growth in the cost of insulin ($3285 to $6255) and cost of diabetes technology ($1747 to $4581). CONCLUSIONS: Our findings suggest that the cost of T1D care is now driven by mounting insulin prices and growing utilization and cost of diabetes technology. Given the positive effects of pumps and CGMs on T1D health outcomes, it is possible that short-term costs are offset by future savings. Long-term cost-effectiveness analyses should be undertaken to inform providers, payers, and policy-makers about how to support optimal T1D care in an era of increasing reliance on therapeutic technology.

Bariatric surgery to aLleviate OCcurrence of Atrial Fibrillation Hospitalization-BLOC-AF.

BACKGROUND: Obesity is associated with a higher incidence of atrial fibrillation (AF). Weight reduction improves outcomes in patients known to have AF. OBJECTIVE: The purpose of this study was to compare the incidence of heart failure (HF) or first-time AF hospitalization in obese patients undergoing bariatric surgery (BAS) vs other abdominal surgeries. METHODS: A retrospective cohort study was conducted using linked hospital discharge records from 1994-2014. Obese patients without known AF or atrial flutter (AFL) who had undergone abdominal hernia or laparoscopic cholecystectomy surgery were identified for each case that underwent BAS (2:1). Clinical outcomes were HF, first-time hospitalization for AF, AFL, gastrointestinal bleeding (GIB), and ischemic or hemorrhagic stroke. Outcomes were analyzed using conditional proportional hazard modeling accounting for the competing risk of death, adjusting for demographics and comorbidities. RESULTS: There were 1581 BAS cases and 3162 controls (48% age <50 years; 60% white; 79% female; mean CHA2DS2VASc score 1.6 ± 1.2) with follow-up of 66 months. Compared to controls, BAS cases had a significantly lower risk of new-onset AF (hazard ratio [HR] 0.71; 95% confidence interval [CI] 0.54-0.93) or HF (HR 0.74; 95% CI 0.60-0.91) but a higher risk of GIB (HR 2.1; 95% CI 1.5-3.0), with no differences in AFL, ischemic stroke, or hemorrhagic stroke. Reduction in AF improved as follow-up increased beyond 60 months. CONCLUSION: In patients undergoing BAS, the risk of either HF or AF was reduced by ∼29% but with greater risk of GIB. The findings support the hypothesis that weight loss reduces the long-term risk of HF or incident AF hospitalization.

Trends and Rapidity of Dose Tapering Among Patients Prescribed Long-term Opioid Therapy, 2008-2017.

Importance: A 2016 Centers for Disease Control and Prevention prescribing guideline cautioned against higher-dose long-term opioid therapy and recommended tapering daily opioid doses by approximately 10% per week if the risks outweigh the benefits. Warnings have since appeared regarding potential hazards of rapid opioid tapering. Objectives: To characterize US trends in opioid dose tapering among patients prescribed long-term opioids from 2008 to 2017 and identify patient-level variables associated with tapering and a more rapid rate of tapering. Design, Setting, and Participants: This retrospective cohort study used deidentified medical and pharmacy claims and enrollment records for 100 031 commercial insurance and Medicare Advantage enrollees, representing a diverse mixture of ages, races/ethnicities, and geographical regions across the United States. Adults with stable, higher-dosage (mean, ≥50 morphine milligram equivalents [MMEs]/d) opioid prescriptions for a 12-month baseline period and 2 or more months of follow-up from January 1, 2008, to December 31, 2017, were included in the study. Main Outcomes and Measures: Tapering was defined as 15% or more relative reduction in mean daily MME during any of 6 overlapping 60-day windows within a 7-month follow-up period. The rate of tapering was computed as the maximum monthly percentage dose reduction. Results: Among the 100 031 participants (53 452 [53.4%] women; mean [SD] age, 57.6 [11.8] years), from 2008 to 2015, the age- and sex-standardized percentage of patients tapering daily opioid doses increased from 10.5% to 13.7% (adjusted incidence rate ratio [aIRR] per year, 1.05 [95% CI, 1.05-1.06]) before increasing to 16.2% in 2016 and 22.4% in 2017 (aIRR in 2016-2017 vs 2008-2015, 1.20 [95% CI, 1.16-1.25]). Patient-level covariates associated with tapering included female sex (aIRR, 1.13 [95% CI, 1.10-1.15]) and higher baseline dose (aIRR for ≥300 MMEs/d vs 50-89 MMEs/d, 2.57 [95% CI, 2.48-2.65]). Among patients tapering daily opioid doses, the mean (SD) maximum dose reduction was 27.6% (17.0%) per month, and 18.8% of patients had a maximum tapering rate exceeding 40% per month (ie, faster than 10% per week). More rapid dose reduction was associated with 2016-2017 vs 2008-2015 (adjusted difference, 1.4% [95% CI, 0.8%-2.1%]) and higher baseline dose (adjusted difference, 2.7% [95% CI, 2.2%-3.3%] for 90-149 vs 50-89 MMEs/d). Conclusions and Relevance: Patients using long-term opioid therapy are increasingly undergoing dose tapering, particularly women and those prescribed higher doses; in addition, dose tapering has become more common since 2016. Many patients undergoing tapering reduce daily doses at a rapid maximum rate.

Effects of the Values and Options in Cancer Care Communication Intervention on Personal Caregiver Experiences of Cancer Care and Bereavement Outcomes.

Background: Care teams are increasingly expected to attend to the needs of patient's personal caregivers (e.g., family members). Improving communication among oncologists, patients with advanced cancer, and their personal caregivers might enhance caregivers' experiences of end-of-life (EoL) cancer care and bereavement outcomes. Objective: To explore the effects of the Values and Options in Cancer Care intervention on caregivers' experiences of EoL care and bereavement outcomes. Design: We developed a brief behavioral intervention to improve communication among oncologists, patients with advanced cancer, and their personal caregivers. The intervention was designed to help patients/caregivers ask questions, express concerns, and help oncologists respond effectively. We randomly assigned oncologists (and their patients/caregivers) to the intervention or usual care. Setting/Subjects: Medical oncologists in NY and CA; patients/personal caregivers with advanced cancer. Measurements: Two months after the patient's death, caregivers completed three instruments assessing their experiences of EoL care. Seven months after the patient's death, caregivers completed the Prolonged Grief Disorder-13 (PG-13; primary prespecified outcome), the Purpose-in-Life scale, and scales assessing mental health function, depression, and anxiety. Results: The intervention did not significantly improve caregivers' scores on the PG-13 (p = 0.21), mental health function, depression, or anxiety, but it did improve purpose-in-life scores (p = 0.018). Cohen's d (95% confidence interval) for all three experiences of EoL care outcomes were promising, ranging from 0.22 (-0.19 to 0.63) to 0.39 (-0.07 to 0.86) although none was statistically significant. Conclusion: Preliminary findings show promise that scalable interventions in cancer care settings may improve caregiver experiences with cancer care and some bereavement outcomes.

Association between advanced cancer patient-caregiver agreement regarding prognosis and hospice enrollment.

BACKGROUND: Patients with advanced, incurable cancer who understand their illness is incurable are more likely to prefer hospice care at the end of life compared with patients who believe their illness is curable. To the authors' knowledge, it is unclear whether patient-caregiver agreement regarding perceived prognosis is associated with hospice enrollment. METHODS: The current study examined the prospective relationship between patient-caregiver agreement concerning perceived prognosis and hospice enrollment in the last 30 days of life. Data were collected during a cluster randomized controlled trial examining a communication intervention for oncologists and patients with advanced cancer and their caregivers. At the time of study entry, patients and caregivers (141 dyads) were categorized as endorsing a "good" prognosis if they: 1) reported a >50% chance of surviving ≥2 years; or if they 2) predicted that the patient's quality of life 3 months into the future would be ≥7 on an 11-point scale. RESULTS: Approximately one-fifth of dyads agreed on a poor prognosis whereas approximately one-half disagreed regarding prognosis. In approximately one-third of dyads, patients and caregivers both believed the patient's future quality of life would be good (34%) and that the patient would live for ≥2 years (30%). Patients in these dyads were less likely to enroll in hospice compared with patients in dyads who disagreed and those who agreed on a shorter life expectancy and poor future quality of life. CONCLUSIONS: Dyadic understanding of patients' projected life expectancy and future quality of life appears to be predictive of care received at the end of life. Improving rates of hospice enrollment may be best achieved with dyadic interventions.

Physician and Patient Characteristics Associated With More Intensive End-of-Life Care.

CONTEXT: Although patient and physician characteristics are thought to be predictive of discretionary interventions at the end of life (EoL), few studies have data on both parties. OBJECTIVE: To test the hypothesis that patient preferences and physician attitudes are both independently associated with discretionary interventions at the EoL. METHODS: We report secondary analyses of data collected prospectively from physicians (n = 38) and patients with advanced cancer (n = 265) in the Values and Options in Cancer Care study. Predictor variables were patient attitudes toward EoL care and physician-reported comfort with medical paternalism, assessed indirectly using a modified version of the Control Preference Scale. We explored whether the magnitude of the physician variable was influenced by the inclusion of particular patient treatment-preference variables (i.e., effect modification). Outcomes were a chemotherapy use score (≤14 days before death [scored 2], 15-31 days before death [scored 1], and >31 days [scored 0]) and an emergency department visit/inpatient admission score (two or more admissions in the last 31 days [scored 2], one admission [1], and 0 admissions [0]) in the last month of life. RESULTS: Chemotherapy scores were nearly 0.25 points higher if patients expressed a preference for experimental treatments with unknown benefit at study entry (0.238 points, 95% CI = 0.047-0.429) or reported an unfavorable attitude toward palliative care (0.247 points, 95% CI = 0.047-0.450). A two-standard deviation difference in physician comfort with medical paternalism corresponded to standardized effects of 0.35 (95% CI = 0.03-0.66) for chemotherapy and 0.33 (95% CI = 0.04-0.61) for emergency department visits/inpatient admissions. There was no evidence of effect modification. CONCLUSION: Patient treatment preferences and physician attitudes are independently associated with higher levels of treatment intensity before death. Greater research, clinical, and policy attention to patient treatment preferences and physician comfort with medical paternalism might lead to improvements in care of patients with advanced disease.

Prognostic accuracy of patients, caregivers, and oncologists in advanced cancer.

BACKGROUND: In caring for patients with advanced cancer, accurate estimation of survival is important for clinical decision making. The purpose of this study was to assess the accuracy of 2-year survival probabilities estimated by oncologists, patients, and caregivers and to identify demographic and clinical factors associated with prognostic accuracy. METHODS: This was a secondary observational analysis of data obtained from a cluster randomized controlled trial. Participants included 38 oncologists, 263 patients with advanced nonhematologic cancer, and 193 of their caregivers from clinics in Sacramento and Western New York. Discrimination within each group (oncologists, patients, caregivers) was evaluated using the C statistic, whereas calibration was assessed by comparing observed to predicted 2-year mortality using the chi-square statistic. RESULTS: The median survival from study entry was 18 months, and 41.8% of patients survived for 2 years. C statistics for oncologists, patients, and caregivers were 0.81 (95% CI, 0.76-0.86), 0.62 (95% CI, 0.55-0.68), and 0.72 (95% CI, 0.65-0.78), respectively; oncologists' predictions were better than the predictions of both patients (P = .001) and caregivers (P = .03). Oncologists also had superior calibration: their predictions of 2-year survival were similar to actual survival (P = .17), whereas patients' (P = .0001) and caregivers' (P = .003) predictions diverged significantly from actual survival. Although most oncologists' predictions were classified as realistic (62.0%), approximately one-half of patients' and caregivers' predictions (50.0% and 46.0%, respectively) were unduly optimistic. Among patients, nonwhite race and higher levels of social well-being predicted undue optimism (P < .05). CONCLUSIONS: Compared with oncologists, patients and caregivers displayed inferior prognostic discrimination, and their predictions were poorly calibrated, primarily because of overoptimism.

The Rise of Early Psychosis Care in California: An Overview of Community and University-Based Services.

OBJECTIVE: California's Mental Health Services Act Prevention and Early Intervention funds provide a unique opportunity for counties to initiate programs focused on early intervention in mental health, including early psychosis. To explain the configuration of early psychosis programs and plan for a statewide evaluation, this report provides an overview of California's early psychosis programming, including service composition, funding sources, inclusion criteria, and data collection practices. METHODS: Following a comprehensive identification process, early psychosis program representatives were contacted to complete the California Early Psychosis Assessment Survey (CEPAS). RESULTS: The response rate to the CEPAS was excellent (97%, 29 of 30 active programs across 24 of 58 counties). Most programs (N=27, 93%) serve individuals with first-episode psychosis between the ages of 12 and 25. Twenty-two programs (79%) provide more than half of the standard components of early psychosis care outlined in the First-Episode Psychosis Service Fidelity Scale. Sixty-four percent of programs collect client-level data at intake and follow up on five or more relevant outcome domains; however, these varied significantly across sites. CONCLUSIONS: Substantial variability in services, inclusion criteria, and data recorded was evident across programs. Prior to conducting any large-scale evaluation, these findings highlight the significant challenges in retrospectively evaluating program effectiveness, need to harmonize program data collection methods, and importance of assessing the impact of program variability on outcomes.

Is Annual Income a Predictor of Completion of Advance Directives (ADs) in Patients With Cancer.

CONTEXT:: Completion of advance directives (ADs) enhances the likelihood of receiving goal-concordant treatments near the end of life. Previous research on community samples have shown that completion of ADs is less common in lower socioeconomic status demographic group; there is a paucity of such research in patients with cancer. OBJECTIVES:: To study the effect of income and education on the completion of ADs. HYPOTHESIS:: Patients with cancer having lower incomes and education levels would be less likely to report completing ADs. METHODS:: We conducted cross-sectional analyses of data provided by patients (n = 265) enrolled in the Values and Options in Cancer Care clinical trial. Patients with advanced cancer reported whether they had (1) completed a living will or (2) designated a health-care proxy. Response options for both questions were yes (scored 1), no (scored 0), and unsure (scored 0). We studied the association of lower household income (≤US$20 000) and education level (never attended college) with AD scores. RESULTS:: Patients with lower annual incomes had lower AD scores (estimate -0.44; confidence intervals [CI]: -0.71 to -0.16, P = .001); the association between higher educational attainment (some college or more) and completion of ADs was not statistically significant (estimate 0.04, CI: -0.16 to 0.24, P = .70). CONCLUSION:: Interventions to promote completion of ADs among lower income patients with serious illnesses are needed.

Patients' Hopes for Advanced Cancer Treatment.

CONTEXT: Little is known about the hopes patients with advanced (incurable) cancer have for their treatment. OBJECTIVES: The objective of this study was to describe the treatment hopes of advanced cancer patients, factors associated with expressing specific hopes, and the persons with whom hopes are discussed. METHODS: We surveyed 265 advanced cancer patients in the U.S. about their hopes for treatment at the baseline and after three months. We developed a taxonomy of hopes for treatment, which two investigators used to independently code patient responses. We explored associations between hopes for cure and patient covariates. RESULTS: We developed eight categories of hopes. We were able to apply these codes reliably, and 95% of the patient's responses fit at least one hope category. The hope categories in order of descending baseline prevalence were as follows: quality of life, life extension, tumor stabilization, remission, milestone, unqualified cure, control not otherwise specified, and cure tempered by realism. Most patients reported discussing hopes with partners, family/friends, and oncologists; a minority reported discussing hopes with nurses, primary care physicians, clergy, or support groups. In logistic regression analysis, unqualified hopes for cure were more likely in younger patients and in those who did not endorse discussing their hopes with primary care physicians. CONCLUSION: Advanced cancer patients harbor a range of treatment hopes. These hopes often are not discussed with key members of the health care team. Younger age and lack of discussion of hopes with primary care physicians may lead to less realistic hopes for cure.

California Study of Ablation for Atrial Fibrillation:Re-hospitalization for Cardiac Events (CAABL-CE).

BACKGROUND: Catheter ablation (ABL) for non-valvular (NV) atrial fibrillation (AF) improves rhythm control. Our aim was to compare re-hospitalization for heart failure (HF), acute coronary syndrome (ACS), or recurrent AF among patients with NVAF who underwent ABL versus controls. METHODS: From the Office of Statewide Planning and Development (OSHPD) database, we identified all patients who had at least one hospitalization for AF between 2005-2013. Patients who subsequently underwent ABL were compared to controls (up to fivematched controls by age, sex and duration of AF between diagnosis and time of ABL). Cases with valve disease, open maze, other arrhythmias, or implanted cardiac devices were excluded. Pre-specified clinical outcomes including readmission for HF, ACS, severe or simple AF (severe = with HF or ACS; simple= without HF or ACS)were assessed using a weighted proportional hazard model adjusting for number of hospital admissions with AF before the ABL, calendar year of ABL, and presence of chronic comorbidities. RESULTS: The study population constituted 8338 cases and controls, with mean 3.5+ 1 patient-year follow up. In the ABL cohort, there was lower risk of re-hospitalizations for HF, HR=0.55(95%CI: 0.43-0.69,); ACS,HR=0.5(95%CI: 0.35-0.72,); severe AF [HR=0.86 (CI:0.74-0.99), and higher for simple AF, HR=1.25 (CI:1.18-1.33). CONCLUSIONS: In patients with NVAF,although ABL is associated with increased risk of re-hospitalization for simple AF, ABL was associated with a significant reduction in the risk of re-hospitalization for HF, ACS and severe AF. These findingsrequireconfirmation in a prospective clinical trial.

Substance Use, Homelessness, Mental Illness and Medicaid Coverage: A Set-up for High Emergency Department Utilization.

INTRODUCTION: Frequent users of emergency departments (ED) account for 21-28% of all ED visits nationwide. The objective of our study was to identify characteristics unique to patients with psychiatric illness who are frequent ED users for mental health care. Understanding unique features of this population could lead to better care and lower healthcare costs. METHODS: This retrospective analysis of adult ED visits for mental healthcare from all acute care hospitals in California from 2009-2014 used patient-level data from California's Office of Statewide Health Planning and Development. We calculated patient demographic and visit characteristics for patients with a primary diagnosis of a mental health disorder as a percentage of total adult ED visits. Frequent ED users were defined as patients with more than four visits in a 12-month period. We calculated adjusted rate ratios (aRR) to assess the association between classification as an ED frequent user and patient age, sex, payer, homelessness, and substance use disorder. RESULTS: In the study period, 846,867 ED visits for mental healthcare occurred including 238,892 (28.2%) visits by frequent users. Patients with a primary mental health diagnosis and a co-occurring substance use diagnosis in the prior 12 months (77% vs. 37%, aRR [4.02], 95% confidence interval [CI] [3.92-4.12]), homelessness (2.9% vs 1.1%, odds ratio [1.35], 95% [CI] [1.27-1.43]) were more likely to be frequent users. Those covered by Medicare (aRR [3.37], 95% CI [3.20-3.55]) or the state's Medicaid program Medi-Cal (aRR [3.10], 95% CI [2.94-3.25]) were also more likely to be frequent users compared with those with private insurance coverage. CONCLUSION: Patients with substance use disorders, homelessness and public healthcare coverage are more likely to be frequent users of EDs for mental illness. Substance use and housing needs are important factors to address in this population.

The ecology of patient and caregiver participation in consultations involving advanced cancer.

OBJECTIVE: To identify predictors of participation of patients with advanced cancer in clinical encounters with oncologists and to assess the impact of patient and caregiver participation on perceptions of physician support. METHODS: This is a secondary data analysis from the Values and Options in Cancer Care study, a cluster randomized clinical trial of a patient-centered communication intervention. Patients and caregivers completed pre-visit and post-visit health and communication measures. Audio recorded patient-caregiver (when present)-physician encounters were coded for active patient/caregiver participation behaviors (eg, question asking, expressing concern) and for physicians' facilitative communication (eg, partnership-building, support). Mixed linear regression models were used to identify patient, physician, and situational factors predicting patient and patient plus caregiver communication behaviors and post-visit outcomes. RESULTS: Physician partnership building predicted greater expressions of concern and more assertive responses from patients and patient-caregiver pairs. Patients' perceptions of greater connectedness with their physician predicted fewer patient expressions of concern. Patient perceptions of physician respect for their autonomy were lower among patients accompanied by caregivers. Caregiver perceptions of physician respect for patient autonomy decreased with increasing patient age and varied by site. CONCLUSIONS: In advanced cancer care, patient and caregiver communication is affected by ecological factors within their consultations. Physicians can support greater patient participation in clinical encounters through facilitative communication such as partnership-building and supportive talk. The presence of a caregiver complicates this environment, but partnership building techniques may help promote patient and caregiver participation during these visits.