Drivers of Variation in Opioid Prescribing after Common Surgical Procedures in a Large Multihospital Healthcare System.

BACKGROUND: Misuse of prescription opioids is a well-established contributor to the United States opioid epidemic. The primary objective of this study was to identify which level of care delivery (i.e. patient, prescriber, or hospital) produced the most unwarranted variation in opioid prescribing after common surgical procedures. STUDY DESIGN: Electronic health record (EHR) data from a large multihospital healthcare system was used in conjunction with random-effect models to examine variation in opioid prescribing practices following similar inpatient and outpatient surgical procedures between October 2019 and September 2021. Unwarranted variation was conceptualized as variation resulting from prescriber behavior unsupported by evidence. Covariates identified as drivers of warranted variation included characteristics known to influence pain levels or patient safety. All other model variables, including prescriber specialty and patient race, ethnicity, and insurance status were characterized as potential drivers of unwarranted variation. RESULTS: Among 25,188 procedures with an opioid prescription at hospital discharge, 53.5% exceeded guideline recommendations, corresponding to 13,228 patients receiving the equivalent of >140,000 excess 5mg oxycodone tablets following surgical procedures. Prescribing variation was primarily driven by prescriber-level factors, with approximately half of the total variation in morphine milligram equivalents (MMEs) prescribed observed at the prescriber level and not explained by any measured variables. Unwarranted covariates associated with higher prescribed opioid quantity included non-Hispanic black race, Medicare insurance, smoking history, later hospital discharge times, and prescription by a surgeon rather than a hospitalist or primary care provider. CONCLUSION: Given the large proportion of unexplained variation observed at the provider level, targeting prescribers through education and training may be an effective strategy for reducing postoperative opioid prescribing.

Peer Comparison or Guideline-Based Feedback and Postsurgery Opioid Prescriptions: A Randomized Clinical Trial.

Importance: Excess opioid prescribing after surgery can result in prolonged use and diversion. Email feedback based on social norms may reduce the number of pills prescribed. Objective: To assess the effectiveness of 2 social norm-based interventions on reducing guideline-discordant opioid prescribing after surgery. Design, Setting, and Participants: This cluster randomized clinical trial conducted at a large health care delivery system in northern California between October 2021 and October 2022 included general, obstetric/gynecologic, and orthopedic surgeons with patients aged 18 years or older discharged to home with an oral opioid prescription. Interventions: In 19 hospitals, 3 surgical specialties (general, orthopedic, and obstetric/gynecologic) were randomly assigned to a control group or 1 of 2 interventions. The guidelines intervention provided email feedback to surgeons on opioid prescribing relative to institutionally endorsed guidelines; the peer comparison intervention provided email feedback on opioid prescribing relative to that of peer surgeons. Emails were sent to surgeons with at least 2 guideline-discordant prescriptions in the previous month. The control group had no intervention. Main Outcome and Measures: The probability that a discharged patient was prescribed a quantity of opioids above the guideline for the respective procedure during the 12 intervention months. Results: There were 38 235 patients discharged from 640 surgeons during the 12-month intervention period. Control-group surgeons prescribed above guidelines 36.8% of the time during the intervention period compared with 27.5% and 25.4% among surgeons in the peer comparison and guidelines arms, respectively. In adjusted models, the peer comparison intervention reduced guideline-discordant prescribing by 5.8 percentage points (95% CI, -10.5 to -1.1; P = .03) and the guidelines intervention reduced it by 4.7 percentage points (95% CI, -9.4 to -0.1; P = .05). Effects were driven by surgeons who performed more surgeries and had more guideline-discordant prescribing at baseline. There was no significant difference between interventions. Conclusions and Relevance: In this cluster randomized clinical trial, email feedback based on either guidelines or peer comparison reduced opioid prescribing after surgery. Guideline-based feedback was as effective as peer comparison-based feedback. These interventions are simple, low-cost, and scalable, and may reduce downstream opioid misuse. Trial Registration: ClinicalTrials.gov NCT05070338.

Reducing Care Overuse in Older Patients Using Professional Norms and Accountability : A Cluster Randomized Controlled Trial.

BACKGROUND: Effective strategies are needed to curtail overuse that may lead to harm. OBJECTIVE: To evaluate the effects of clinician decision support redirecting attention to harms and engaging social and reputational concerns on overuse in older primary care patients. DESIGN: 18-month, single-blind, pragmatic, cluster randomized trial, constrained randomization. (ClinicalTrials.gov: NCT04289753). SETTING: 60 primary care internal medicine, family medicine and geriatrics practices within a health system from 1 September 2020 to 28 February 2022. PARTICIPANTS: 371 primary care clinicians and their older adult patients from participating practices. INTERVENTION: Behavioral science-informed, point-of-care, clinical decision support tools plus brief case-based education addressing the 3 primary clinical outcomes (187 clinicians from 30 clinics) were compared with brief case-based education alone (187 clinicians from 30 clinics). Decision support was designed to increase salience of potential harms, convey social norms, and promote accountability. MEASUREMENTS: Prostate-specific antigen (PSA) testing in men aged 76 years and older without previous prostate cancer, urine testing for nonspecific reasons in women aged 65 years and older, and overtreatment of diabetes with hypoglycemic agents in patients aged 75 years and older and hemoglobin A1c (HbA1c) less than 7%. RESULTS: At randomization, mean clinic annual PSA testing, unspecified urine testing, and diabetes overtreatment rates were 24.9, 23.9, and 16.8 per 100 patients, respectively. After 18 months of intervention, the intervention group had lower adjusted difference-in-differences in annual rates of PSA testing (-8.7 [95% CI, -10.2 to -7.1]), unspecified urine testing (-5.5 [CI, -7.0 to -3.6]), and diabetes overtreatment (-1.4 [CI, -2.9 to -0.03]) compared with education only. Safety measures did not show increased emergency care related to urinary tract infections or hyperglycemia. An HbA1c greater than 9.0% was more common with the intervention among previously overtreated diabetes patients (adjusted difference-in-differences, 0.47 per 100 patients [95% CI, 0.04 to 1.20]). LIMITATION: A single health system limits generalizability; electronic health data limit ability to differentiate between overtesting and underdocumentation. CONCLUSION: Decision support designed to increase clinicians' attention to possible harms, social norms, and reputational concerns reduced unspecified testing compared with offering traditional case-based education alone. Small decreases in diabetes overtreatment may also result in higher rates of uncontrolled diabetes. PRIMARY FUNDING SOURCE: National Institute on Aging.

Development and pilot testing of EHR-nudges to reduce overuse in older primary care patients.

BACKGROUND: Unnecessary testing and treatment of common conditions in older adults can lead to significant morbidity and mortality. The primary objective of this study was to develop and pilot test a set of clinical decision support (CDS) alerts informed by social psychology to address overuse in three areas related to ambulatory care of older adults. METHODS: We developed three electronic health record (EHR) CDS alerts to address overuse and pilot tested them from January 17, 2019 to July 17, 2019. We enrolled 14 primary care physicians from three practices within a large health system who cared for adults aged 65 years and older. Three measures of overuse applied to patients meeting the following criteria: ordering of prostate-specific antigen (PSA) for prostate cancer screening in adult men aged 76 years and older, ordering of urinalysis or urine cultures (UA or UC) for non-specific reasons to identify bacteriuria in women aged 65 years and older, and overtreatment of diabetes with insulin or oral hypoglycemic medications in adults aged at 75 years and older (DM). Clinicians received CDS alerts when criteria for any of the three overuse measures were met. We then surveyed clinicians to evaluate their experience with the CDS alerts. RESULTS: The number of clinical encounters that triggered CDS alerts was 19 for PSA, 48 for UA/UC and 128 for DM. For PSA encounters, 4 (21%) orders were not performed after the alert. In the UA/UC encounters 29 (60%) orders were not performed after the alert. For the DM encounters, 21 (34%) had diabetes therapy reduced following the alert. Survey respondents indicated that the alerts were clinically accurate and sometimes led them to change their clinical action. CONCLUSIONS: These CDS alerts were feasible to implement and may minimize unnecessary testing and treatment of common conditions in older adults.

A Qualitative Description of Clinician Free-Text Rationales Entered within Accountable Justification Interventions.

BACKGROUND: Requiring accountable justifications-visible, clinician-recorded explanations for not following a clinical decision support (CDS) alert-has been used to steer clinicians away from potentially guideline-discordant decisions. Understanding themes from justifications across clinical content areas may reveal how clinicians rationalize decisions and could help inform CDS alerts. METHODS: We conducted a qualitative evaluation of the free-text justifications entered by primary care physicians from three pilot interventions designed to reduce opioid prescribing and, in older adults, high-risk polypharmacy and overtesting. Clinicians encountered alerts when triggering conditions were met within the chart. Clinicians were asked to change their course of action or enter a justification for the action that would be displayed in the chart. We extracted all justifications and grouped justifications with common themes. Two authors independently coded each justification and resolved differences via discussion. Three physicians used a modified Delphi technique to rate the clinical appropriateness of the justifications. RESULTS: There were 560 justifications from 50 unique clinicians. We grouped these into three main themes used to justify an action: (1) report of a particular diagnosis or symptom (e.g., for "anxiety" or "acute pain"); (2) provision of further contextual details about the clinical case (e.g., tried and failed alternatives, short-term supply, or chronic medication); and (3) noting communication between clinician and patient (e.g., "risks and benefits discussed"). Most accountable justifications (65%) were of uncertain clinical appropriateness. CONCLUSION: Most justifications clinicians entered across three separate clinical content areas fit within a small number of themes, and these common rationales may aid in the design of effective accountable justification interventions. Justifications varied in terms of level of clinical detail. On their own, most justifications did not clearly represent appropriate clinical decision making.

Case report: evaluation of an open-source synthetic data platform for simulation studies.

Simulation is a mainstay of comparative- and cost-effectiveness research when empirical data are not available. The Synthea platform, originally designed for generating realistically coded longitudinal health records for software testing, implements data generation models specified in publicly contributed modules representing patients' life cycle and disease and treatment progression. We test the hypothesis that Synthea can be used for simulation studies that draw parameters from observational studies and randomized trials. We benchmarked the results and assessed the effort required to create a Synthea module that replicates a recently published cost-effectiveness simulation comparing levofloxacin prophylaxis to usual care for leukemia. A module was iteratively developed using published parameters from the original study; we replicated the initial conditions and simulation endpoints of demographics, health events, costs, and mortality. We compare Synthea's Generic Module Framework to platforms designed for simulation and show that Synthea can be used, with modifications, for some types of simulation studies.

Establishing a research informatics program in a public healthcare system: a case report with model documents.

While much is known about governance models for research informatics programs in academic medical centers and similarly situated cancer centers, community and public health systems have been less well-characterized. As part of implementing an enterprise research governance framework, leaders in the Los Angeles County Department of Health Services established a research informatics program, including research data warehousing. The strategy is focused on high-priority, patient-centered research that leverages the investment in health IT and an efficient, sustained contribution from 2 affiliated Clinical Translational Sciences Institutes. This case study describes the foundational governance framework and policies that were developed. We share the results of several years of planning, implementation, and operations of an academically funded research informatics service core embedded in a large, multicenter county health system. We include herein a Supplementary Appendix of governance documents that may serve as pragmatic models for similar initiatives.

Development of High-Risk Geriatric Polypharmacy Electronic Clinical Quality Measures and a Pilot Test of EHR Nudges Based on These Measures.

BACKGROUND: Inappropriate polypharmacy, prevalent among older patients, is associated with substantial harms. OBJECTIVE: To develop measures of high-risk polypharmacy and pilot test novel electronic health record (EHR)-based nudges grounded in behavioral science to promote deprescribing. DESIGN: We developed and validated seven measures, then conducted a three-arm pilot from February to May 2019. PARTICIPANTS: Validation used data from 78,880 patients from a single large health system. Six physicians were pre-pilot test environment users. Sixty-nine physicians participated in the pilot. MAIN MEASURES: Rate of high-risk polypharmacy among patients aged 65 years or older. High-risk polypharmacy was defined as being prescribed ≥5 medications and satisfying ≥1 of the following high-risk criteria: drugs that increase fall risk among patients with fall history; drug-drug interactions that increase fall risk; thiazolidinedione, NSAID, or non-dihydropyridine calcium channel blocker in heart failure; and glyburide, glimepiride, or NSAID in chronic kidney disease. INTERVENTIONS: Physicians received EHR alerts when renewing or prescribing certain high-risk medications when criteria were met. One practice received a "commitment nudge" that offered a chance to commit to addressing high-risk polypharmacy at the next visit. One practice received a "justification nudge" that asked for a reason when high-risk polypharmacy was present. One practice received both. KEY RESULTS: Among 55,107 patients 65 and older prescribed 5 or more medications, 6256 (7.9%) had one or more high-risk criteria. During the pilot, the mean (SD) number of nudges per physician per week was 1.7 (0.4) for commitment, 0.8 (0.5) for justification, and 1.9 (0.5) for both interventions. Physicians requested to be reminded to address high-risk polypharmacy for 236/833 (28.3%) of the commitment nudges and acknowledged 441 of 460 (95.9%) of justification nudges, providing a text response for 187 (40.7%). CONCLUSIONS: EHR-based measures and nudges addressing high-risk polypharmacy were feasible to develop and implement, and warrant further testing.

Design of Behavioral Economic Applications to Geriatrics Leveraging Electronic Health Records (BEAGLE): A pragmatic cluster randomized controlled trial.

BACKGROUND: Overtesting and treatment of older patients is common and may lead to harms. The Choosing Wisely campaign has provided recommendations to reduce overtesting and overtreatment of older adults. Behavioral economics-informed interventions embedded within the electronic health record (EHR) have been shown to reduce overuse in several areas. Our objective is to conduct a parallel arm, pragmatic cluster-randomized trial to evaluate the effectiveness of behavioral-economics-informed clinical decision support (CDS) interventions previously piloted in primary care clinics and designed to reduce overtesting and overtreatment in older adults. METHODS/DESIGN: This trial has two parallel arms: clinician education alone vs. clinician education plus behavioral-economics-informed CDS. There are three co-primary outcomes for this trial: (1) prostate-specific antigen (PSA) screening in older men, (2) urine testing for non-specific reasons in older women, and (3) overtreatment of diabetes in older adults. All eligible primary care clinics from a large regional health system were randomized using a modified constrained randomization process and their attributed clinicians were included. Clinicians were recruited to complete a survey and educational module. We randomized 60 primary care clinics with 374 primary care clinicians and achieved adequate balance between the study arms for prespecified constrained variables. Baseline annual overuse rates for the three co-primary outcomes were 25%, 23%, and 17% for the PSA, urine, and diabetes measures, respectively. DISCUSSION: This trial is evaluating behavioral-economics-informed EHR-embedded interventions to reduce overuse of specific tests and treatments for older adults. The study will evaluate the effectiveness and safety of these interventions.

Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model.

Deficiencies in data sharing capabilities limit Social Determinants of Health (SDoH) analysis as part of COVID-19 research. The National COVID Cohort Collaborative (N3C) is an example of an Electronic Health Record (EHR) database of patients tested for COVID-19 that could benefit from a SDoH elements framework that captures various screening instruments in EHR data warehouse systems. This paper uses the University of Washington Enterprise Data Warehouse (a data contributor to N3C) to demonstrate how SDoH can be represented and managed to be made available within an OMOP common data model. We found that these data varied by type of social determinants data and where it was collected, in the time period that it was collected, and in how it was represented.

Clinician-Level Variation in Three Measures Representing Overuse Based on the American Geriatrics Society Choosing Wisely Statement.

IMPORTANCE: The extent of clinician-level variation in the overuse of testing or treatment in older adults is not well understood. OBJECTIVE: To examine clinician-level variation for three new measures of potentially inappropriate use of medical services in older adults. DESIGN: Retrospective analysis of overall means and clinician-level variation in performance on three new measures. SUBJECTS: Adults aged 65 years and older who had office visits with outpatient primary or immediate care clinicians within a single academic medical center health system between July 1, 2016, and June 30, 2017. MEASURES: Two electronic clinical quality measures representing potentially inappropriate use of medical services in older adults: prostate-specific antigen testing against guidelines (PSA) in men aged 76 and older; urinalysis or urine culture for non-specific reasons in women aged 65 and older; and one intermediate outcome measure: hemoglobin A1c less than 7.0 in adults aged 75 and older with diabetes mellitus treated with insulin or oral hypoglycemic medication. RESULTS: Sixty-nine clinicians and 2009 patients contributed observations to the PSA measure, 144 clinicians and 5933 patients contributed to the urinalysis/urine culture measure, and 42 clinicians and 665 patients contributed to the diabetes measure. Meaningful clinician-level performance variation was greatest for the PSA measure (intraclass correlation coefficient [ICC] = 0.27), followed by the urinalysis/urine culture measure (ICC = 0.18), and the diabetes measure (ICC = 0.024). The range of possible overuse across clinician quartiles was 8-54% for the PSA measure, 3-35% for the urinalysis/urine culture measure, and 13-49% for the diabetes measure. The odds ratios of overuse in the highest quartile compared with the lowest for the PSA, urinalysis/urine culture, and diabetes measures were 99.3 (95% CI 43 to 228), 15.7 (10 to 24), and 6.0 (3.3 to 11), respectively. CONCLUSIONS: Within the same health system, rates of potential overuse in elderly patients varied greatly across clinicians, particularly for the process measures examined.

Simulation-based training is associated with lower risk-adjusted mortality in ACS pediatric TQIP centers.

BACKGROUND: Although use of simulation-based team training for pediatric trauma resuscitation has increased, its impact on patient outcomes has not yet been shown. The purpose of this study was to determine the association between simulation use and patient outcomes. METHODS: Trauma centers that participate in the American College of Surgeons (ACS) Pediatric Trauma Quality Improvement Program (TQIP) were surveyed to determine frequency of simulation use in 2014 and 2015. Center-specific clinical data for 2016 and 2017 were abstracted from the ACS TQIP registry (n = 57,916 patients) and linked to survey responses. Center-specific risk-adjusted mortality was estimated using multivariable hierarchical logistic regression and compared across four levels of simulation-based training use: no training, low-volume training, high-volume training, and survey nonresponders (unknown training use). RESULTS: Survey response rate was 75% (94/125 centers) with 78% of the responding centers (73/94) reporting simulation use. The average risk-adjusted odds of mortality was lower in centers with a high volume of training compared with centers not using simulation (odds ratio, 0.58; 95% confidence interval, 0.37-0.92). The times required for resuscitation processes, evaluations, and critical procedures (endotracheal intubation, head computed tomography, craniotomy, and surgery for hemorrhage control) were not different between centers based on levels of simulation use. CONCLUSION: Risk-adjusted mortality is lower in TQIP-Pediatric centers using simulation-based training, but this improvement in mortality may not be mediated by a reduction in time to critical procedures. Further investigation into alternative mediators of improved mortality associated with simulation use is warranted, including assessment of resuscitation quality, improved communication, enhanced teamwork skills, and decreased errors. LEVEL OF EVIDENCE: Therapeutic/care management, Level III.

Engaging heart failure patients from a clinical data research network: A survey on willingness to participate in different types of research.

The willing participation of patients in clinical research is a critical element in national efforts to collect health data for precision medicine and large cohort studies. However, recruiting patients is challenging. Clinical data research networks (CDRN) have primarily been used for observational studies, but may be able to enhance recruitment efforts. We need a better understanding of patient motivation and preferences for research participation and their interest in different types of research activities, particularly among those who are already represented in CDRNs. We surveyed a heart failure patient cohort constructed from EHRs in a CDRN to assess research participation. Results showed that CDRN recruitment is feasible. Respondents were most interested in completing a one-time survey and giving a blood sample one time. They were least interested in a study about weight control that require surgery. We found statistically significant associations between race and research activity interests.

Simulation-based training for trauma resuscitation among ACS TQIP-Pediatric centers: Understanding prevalence of use, associated center characteristics, training factors, and implementation barriers.

BACKGROUND: Simulation-based training (SBT) for pediatric trauma resuscitation can improve team performance. The purpose of this study was to describe the nationwide trend in SBT use and barriers to SBT implementation. METHODS: Trauma centers that participated in ACS TQIP Pediatric in 2016 (N = 125) were surveyed about SBT use. Center characteristics and reported implementation barriers were compared between centers using and not using SBT. RESULTS: Survey response rate was 75% (94/125) with 78% (73/94) reporting SBT use. The frequency of pediatric SBT use increased from 2014 to 2016 (median 5.5 vs 6.5 annual sessions, p < 0.01). Funding barriers were negatively associated with number of annual SBT sessions (r ≤ -0.34, p < 0.05). Centers not using SBT reported lack of technical expertise (p = 0.01) and lack of data supporting SBT (p = 0.03) as significant barriers. CONCLUSIONS: Simulation use increased from 2014 to 2016, but significant barriers to implementation exist. Strategies to share resources and decrease costs may improve usage. LEVEL OF EVIDENCE: Level 3, epidemiological.

Timing of mortality in pediatric trauma patients: A National Trauma Data Bank analysis.

BACKGROUND/PURPOSE: The classic "trimodal" distribution of death has been described in adult patients, but the timing of mortality in injured children is not well understood. The purpose of this study was to define the temporal distribution of mortality in pediatric trauma patients. METHODS: A retrospective cohort of patients with mortality from the National Trauma Data Bank (2007-2014) was analyzed. Categorical comparison of 'dead on arrival', 'death in the emergency department', and early (≤24h) or late (>24h) inpatient death was performed. Secondary analyses included mortality by pediatric age, predictors of early mortality, and late complication rates. RESULTS: Children (N=5463 deaths) had earlier temporal distribution of death compared to adults (n=104,225 deaths), with 51% of children dead on arrival or in ED compared to 44% of adults (p<0.001). For patients surviving ED resuscitation, children and adolescents had a shorter median time to death than adults (1.2 d and 0.8 days versus 1.6 days, p<0.001). Older age, penetrating mechanism, bradycardia, hypotension, tube thoracostomy, and thoracotomy were associated with early mortality in children. CONCLUSIONS: Injured children have higher incidence of early mortality compared to adults. This suggests that injury prevention efforts and strategies for improving early resuscitation have potential to improve mortality after pediatric injury. LEVEL OF EVIDENCE: Level III: Retrospective cohort study.

Populations and Interventions for Palliative and End-of-Life Care: A Systematic Review.

IMPORTANCE: Evidence supports palliative care effectiveness. Given workforce constraints and the costs of new services, payers and providers need help to prioritize their investments. They need to know which patients to target, which personnel to hire, and which services best improve outcomes. OBJECTIVE: To inform how payers and providers should identify patients with "advanced illness" and the specific interventions they should implement, we reviewed the evidence to identify (1) individuals appropriate for palliative care and (2) elements of health service interventions (personnel involved, use of multidisciplinary teams, and settings of care) effective in achieving better outcomes for patients, caregivers, and the healthcare system. EVIDENCE REVIEW: Systematic searches of MEDLINE, EMBASE, PsycINFO, Web of Science, and Cochrane Database of Systematic Reviews databases (1/1/2001-1/8/2015). RESULTS: Randomized controlled trials (124) met inclusion criteria. The majority of studies in cancer (49%, 38 of 77 studies) demonstrated statistically significant patient or caregiver outcomes (e.g., p < 0.05), as did those in congestive heart failure (CHF) (62%, 13 of 21), chronic obstructive pulmonary disease (COPD; 58%, 11 of 19), and dementia (60%, 15 of 25). Most prognostic criteria used clinicians' judgment (73%, 22 of 30). Most interventions included a nurse (70%, 69 of 98), and many were nurse-only (39%, 27 of 69). Social workers were well represented, and home-based approaches were common (56%, 70 of 124). Home interventions with visits were more effective than those without (64%, 28 of 44; vs. 46%, 12 of 26). Interventions improved communication and care planning (70%, 12 of 18), psychosocial health (36%, 12 of 33, for depressive symptoms; 41%, 9 of 22, for anxiety), and patient (40%, 8 of 20) and caregiver experiences (63%, 5 of 8). Many interventions reduced hospital use (65%, 11 of 17), but most other economic outcomes, including costs, were poorly characterized. Palliative care teams did not reliably lower healthcare costs (20%, 2 of 10). CONCLUSIONS: Palliative care improves cancer, CHF, COPD, and dementia outcomes. Effective models include nurses, social workers, and home-based components, and a focus on communication, psychosocial support, and the patient or caregiver experience. High-quality research on intervention costs and cost outcomes in palliative care is limited.

Factors Associated with Family Reports of Pain, Dyspnea, and Depression in the Last Year of Life.

BACKGROUND: Pain, dyspnea, and depression are highly troubling near the end of life. OBJECTIVE: To characterize factors associated with clinically significant pain and the presence of dyspnea and depression during the last year of life in a nationally representative sample. DESIGN: Retrospective cohort study. SETTING: Health and Retirement Study, a national sample of community-dwelling US residents aged 51 and older. PARTICIPANTS: Family respondents of 8254 decedents who died between 1998 and 2012. MEASUREMENTS: Clinically significant pain often during the last year of life; dyspnea and depression for at least one month during the last year of life. RESULTS: Life support was associated with dyspnea (odds ratio [OR] 1.71, 95% confidence interval [CI] 1.42-2.06) and depression (OR 1.20, CI 1.04-1.39), treatment for cancer with pain (OR 1.65, CI 1.41-1.92), and oxygen for a lung condition with dyspnea (OR 14.78, CI 11.28-19.38). More diagnoses were associated with dyspnea (OR 1.24, CI 1.17-1.30) and depression (OR 1.14, CI 1.08-1.21). More activities of daily living (ADL) dependencies were associated with clinically significant pain (OR 1.06, CI 1.03-1.09), dyspnea (OR 1.06, CI 1.02-1.10), and depression (OR 1.10, CI 1.07-1.12), and more instrumental activities of daily living (IADL) dependencies with depression (OR 1.12, CI 1.08-1.18). Worse self-rated health was associated with pain (OR 0.83, CI 0.77-0.88), dyspnea (OR 0.89, CI 0.84-0.95), and depression (OR 0.83, CI 0.78-0.89). Arthritis was associated with clinically significant pain (OR 2.24, CI 1.91-2.63). CONCLUSIONS: Factors associated with common, burdensome symptoms in a national sample suggest clinical and population strategies for targeting symptom assessment and management.

Symptom trends in the last year of life from 1998 to 2010: a cohort study.

BACKGROUND: Calls for improvement in end-of-life care have focused attention on the management of pain and other troubling symptoms at the end of life. OBJECTIVE: To describe changes in pain intensity and symptom prevalence during the last year of life from 1998 to 2010. DESIGN: Observational study. SETTING: The HRS (Health and Retirement Study), a nationally representative longitudinal survey of community-dwelling U.S. residents aged 51 years or older. PARTICIPANTS: 7204 HRS participants who died while enrolled in the study and their family respondents. MEASUREMENTS: Proxy-reported pain during the last year of life and other symptoms for at least 1 month during the last year of life. Trends in pain intensity and symptom prevalence were analyzed for all decedents and within the categories of sudden death, cancer, congestive heart failure or chronic lung disease, and frailty. RESULTS: Between 1998 and 2010, proxy reports of the prevalence of any pain increased for all decedents from 54.3% (95% CI, 51.6% to 57.1%) to 60.8% (CI, 58.2% to 63.4%), an increase of 11.9% (CI, 3.1% to 21.4%). Reported prevalences of depression and periodic confusion also increased for all decedents by 26.6% (CI, 14.5% to 40.1%) and 31.3% (CI, 18.6% to 45.1%), respectively. Individual symptoms increased in prevalence among specific decedent categories, except in cancer, which showed no significant changes. The prevalence of moderate or severe pain did not change among all decedents or in any specific decedent category. LIMITATION: Use of proxy reports and limited information about some patient and surrogate variables. CONCLUSION: Despite national efforts to improve end-of-life care, proxy reports of pain and other alarming symptoms in the last year of life increased from 1998 to 2010. PRIMARY FUNDING SOURCE: National Institute of Nursing Research.

HIV and STI risk behaviors, knowledge, and testing among female adult film performers as compared to other California women.

A cross-sectional structured online survey was self-administered to a convenience sample of current female adult film performers via the Internet; bivariate analyses compared HIV and other STI risk behaviors, knowledge, and testing in female adult performers to California Women's Health Survey respondents. 134 female adult film performers (mean age 27.8 years) were compared to the 1,773 female respondents (mean age 31.3 years) to the 2007 CWHS. Female performers initiated sex on average 3 years younger and had 6.8 more personal sexual partners in the prior year than other California women. The majority of performers reported HIV and Chlamydia testing (94 and 82%, respectively) in the prior 12 months. They more likely to use condoms consistently in their personal life than other California women (21 vs 17%), though this difference disappeared after controlling for other variables. Adult performers are routinely tested for HIV and Chlamydia, yet they have multiple sexual partners and use condoms inconsistently.

Coverage and preventive screening.

CONTEXT: Preventive care has been shown as a high-value health care service. Many employers now offer expanded coverage of preventive care to encourage utilization. OBJECTIVE: To determine whether expanding coverage is an effective means to encourage utilization. DESIGN: Comparison of screening rates before and after introduction of deductible-free coverage. SETTING: People insured through large corporations between 2002 and 2006. PATIENTS OR OTHER PARTICIPANTS: Preferred Provider Organization (PPO) enrollees from an employer introducing deductible-free coverage, and a control group enrolled in a PPO from a second employer with no policy change. MAIN OUTCOME MEASURES: Adjusted probability of endoscopy, fecal occult blood test (FOBT), lipid screens, mammography, and Papanicolaou (pap) smears. INTERVENTION: Introduction of first-dollar coverage (FDC) of preventive services in 2003. RESULTS: After adjusting for demographics and secular trends, there were between 23 and 78 additional uses per 1,000 eligible patients of covered preventive screens (lipid screens, pap smears, mammograms, and FOBT), with no significant changes in the control group or in a service without FDC (endoscopy). CONCLUSIONS: FDC improves utilization modestly among healthy individuals, particularly those in lower deductible plans. Compliance with guidelines can be encouraged by lowering out-of-pocket costs, but patients' predisposing characteristics merit attention.