Real-World Implications of Updated Surviving Sepsis Campaign Antibiotic Timing Recommendations.

OBJECTIVE: To evaluate real-world implications of updated Surviving Sepsis Campaign (SSC) recommendations for antibiotic timing. DESIGN: Retrospective cohort study. SETTING: Twelve hospitals in the Southeastern United States between 2017 and 2021. PATIENTS: One hundred sixty-six thousand five hundred fifty-nine adult hospitalized patients treated in the emergency department for suspected serious infection. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We determined the number and characteristics of patients affected by updated SSC recommendations for initiation of antibiotics that incorporate a risk- and probability-stratified approach. Using an infection prediction model with a cutoff of 0.5 to classify possible vs. probable infection, we found that 30% of the suspected infection cohort would be classified as shock absent, possible infection and thus eligible for the new 3-hour antibiotic recommendation. In real-world practice, this group had a conservative time to antibiotics (median, 5.5 hr; interquartile range [IQR], 3.2-9.8 hr) and low mortality (2%). Patients categorized as shock absent, probable infection had a median time to antibiotics of 3.2 hours (IQR, 2.1-5.1 hr) and mortality of 3%. Patients categorized as shock present, the probable infection had a median time to antibiotics 2.7 hours (IQR, 1.7-4.6 hr) and mortality of 17%, and patients categorized as shock present, the possible infection had a median time to antibiotics 6.9 hours (IQR, 3.5-16.3 hr) and mortality of 12%. CONCLUSIONS: These data support recently updated SSC recommendations to align antibiotic timing targets with risk and probability stratifications. Our results provide empirical support that clinicians and hospitals should not be held to 1-hour targets for patients without shock and with only possible sepsis.

Effectiveness of a Multifaceted Implementation Strategy to Increase Equitable Hospital at Home Utilization: An Interrupted Time Series Analysis.

BACKGROUND: The number of Hospital-at-Home (HaH) programs rapidly increased during the COVID-19 pandemic and after issuance of Centers for Medicare and Medicaid Services' (CMS) Acute Hospital Care at Home (AHCaH) waiver. However, there remains little evidence on effective strategies to equitably expand HaH utilization. OBJECTIVE: Evaluate the effects of a multifaceted implementation strategy on HaH utilization over time. DESIGN: Before and after implementation evaluation using electronic health record (EHR) data and interrupted time series analysis, complemented by qualitative interviews with key stakeholders. PARTICIPANTS: Between December 2021 and December 2022, we identified adults hospitalized at six hospitals in North Carolina approved by CMS to participate in the AHCaH waiver program. Eligible adults met criteria for HaH transfer (HaH-eligible clinical condition, qualifying home environment). We conducted semi-structured interviews with 12 HaH patients and 10 referring clinicians. INTERVENTIONS: Two strategies were studied. The discrete implementation strategy (weeks 1-12) included clinician-directed educational outreach. The multifaceted implementation strategy (weeks 13-54) included ongoing clinician-directed educational outreach, local HaH assistance via nurse navigators, involvement of clinical service line executives, and individualized audit and feedback. MEASURES: We assessed weekly averaged HaH capacity utilization, weekly counts of unique referring providers, and patient characteristics. We analyzed themes from qualitative data to determine barriers and facilitators to HaH use. RESULTS: Our evaluation showed week-to-week increases in HaH capacity utilization during the multifaceted implementation strategy period, compared to discrete-period trends (slope-change odds ratio-1.02, 1.01-1.04). Counts of referring providers also increased week to week, compared to discrete-period trends (slope-change means ratio-1.05, 1.03-1.07). The increase in HaH utilization was largest among rural residents (11 to 34%). Barriers included HaH-related information gaps and referral challenges; facilitators included patient-centeredness of HaH care. CONCLUSIONS: A multifaceted implementation strategy was associated with increased HaH capacity utilization, provider adoption, and patient diversity. Health systems may consider similar, contextually relevant multicomponent approaches to equitably expand HaH.

Effect of a Multicomponent Sepsis Transition and Recovery Program on Mortality and Readmissions After Sepsis: The Improving Morbidity During Post-Acute Care Transitions for Sepsis Randomized Clinical Trial.

OBJECTIVES: To evaluate whether a nurse navigator-led, multicomponent Sepsis Transition And Recovery program improves 30-day mortality and readmission outcomes after sepsis hospitalization. DESIG: n: Multisite pragmatic randomized clinical trial. SETTING: Three hospitals in North Carolina from January 2019 to March 2020. PATIENTS: Eligible patients hospitalized for suspected sepsis and deemed high-risk for mortality or readmission by validated internal risk models. INTERVENTIONS: Patients were randomized to receive usual care alone (i.e., routine transition support, outpatient care; n = 342) or additional Sepsis Transition And Recovery support (n = 349). The 30-day intervention involved a multicomponent transition service led by a nurse navigator through telephone and electronic health record communication to facilitate best practice postsepsis care strategies during and after hospitalization including: postdischarge medication review, evaluation for new impairments or symptoms, monitoring comorbidities, and palliative care approach when appropriate. Clinical oversight was provided by a Hospital Medicine Transition Services team. MEASUREMENTS AND MAIN RESULTS: The primary outcome was a composite of mortality or hospital readmission at 30 days. Logistic regression models were constructed to evaluate marginal and conditional odds ratios (adjusted for prognostic covariates: age, comorbidity, and organ dysfunction at enrollment). Among 691 randomized patients (mean age = 63.7 ± 15.1 yr; 52% female), a lower percentage of patients in the Sepsis Transition And Recovery group experienced the primary outcome compared with the usual care group (28.7% vs 33.3%; risk difference, 4.7%; odds ratio, 0.80; 95% CI, 0.58-1.11; adjusted odds ratio, 0.80; 95% CI, 0.64-0.98). There were 74 deaths (Sepsis Transition And Recovery: 33 [9.5%] vs usual care: 41 [12.0%]) and 155 rehospitalizations (Sepsis Transition And Recovery: 71 [20.3%] vs usual care: 84 [24.6%]). CONCLUSIONS: In a multisite randomized clinical trial of patients hospitalized with sepsis, patients provided with a 30-day program using a nurse navigator to provide best practices for postsepsis care experienced a lower proportion of either mortality or rehospitalization within 30 days after discharge. Further research is needed to understand the contextual factors associated with successful implementation.

Laparoscopy is associated with decreased all-cause mortality in patients undergoing emergency general surgery procedures in a regional health system.

BACKGROUND: The aim of this study was to evaluate the use of laparoscopic surgery for common emergency general surgery (EGS) procedures within an integrated Acute Care Surgery (ACS) network. We hypothesized that laparoscopy would be associated with improved outcomes. METHODS: Our integrated health care system's EGS registry created from AAST EGS ICD-9 codes was queried from January 2013 to October 2015. Procedures were grouped as laparoscopic or open. Standard descriptive and univariate tests were performed, and a multivariable logistic regression controlling for open status, age, BMI, Charlson Comorbidity Index (CCI), trauma tier, and resuscitation diagnosis was performed. Laparoscopic procedures converted to open were identified and analyzed using concurrent procedure billing codes across episodes of care. RESULTS: Of 60,604 EGS patients identified over the 33-month period, 7280 (12.0%) had an operation and 6914 (11.4%) included AAST-defined EGS procedures. There were 4813 (69.6%) surgeries performed laparoscopically. Patients undergoing a laparoscopic procedure tended to be younger (45.7 ± 18.0 years vs. 57.2 ± 17.6, p < 0.001) with similar BMI (29.7 ± 9.0 kg/m2 vs. 28.8 ± 8.3, p < 0.001). Patients in the laparoscopic group had lower mean CCI score (1.6 ± 2.3 vs. 3.4 ± 3.2, p ≤ 0.0001). On multivariable analysis, open surgery had the highest association with inpatient mortality (OR 8.67, 4.23-17.75, p < 0.0001) and at all time points (30-, 90-day, 1-, 3-year). At all time points, conversion to open was found to be a statistically significant protective factor. CONCLUSION: Use of laparoscopy in EGS is common and associated with a decreased risk of all-cause mortality at all time points compared to open procedures. Conversion to open was protective at all time points compared to open procedures.

Insights From Rapid Deployment of a "Virtual Hospital" as Standard Care During the COVID-19 Pandemic.

BACKGROUND: Pandemics disrupt traditional health care operations by overwhelming system resource capacity but also create opportunities for care innovation. OBJECTIVE: To describe the development and rapid deployment of a virtual hospital program, Atrium Health hospital at home (AH-HaH), within a large health care system. DESIGN: Prospective case series. SETTING: Atrium Health, a large integrated health care organization in the southeastern United States. PATIENTS: 1477 patients diagnosed with coronavirus disease 2019 (COVID-19) from 23 March to 7 May 2020 who received care via AH-HaH. INTERVENTION: A virtual hospital model providing proactive home monitoring and hospital-level care through a virtual observation unit (VOU) and a virtual acute care unit (VACU) in the home setting for eligible patients with COVID-19. MEASUREMENTS: Patient demographic characteristics, comorbid conditions, treatments administered (intravenous fluids, antibiotics, supplemental oxygen, and respiratory medications), transfer to inpatient care, and hospital outcomes (length of stay, intensive care unit [ICU] admission, mechanical ventilation, and death) were collected from electronic health record data. RESULTS: 1477 patients received care in either the AH-HaH VOU or VACU or both settings, with a median length of stay of 11 days. Of these, 1293 (88%) patients received care in the VOU only, with 40 (3%) requiring inpatient hospitalization. Of these 40 patients, 16 (40%) spent time in the ICU, 7 (18%) required ventilator support, and 2 (5%) died during their hospital admission. In total, 184 (12%) patients were ever admitted to the VACU, during which 21 patients (11%) required intravenous fluids, 16 (9%) received antibiotics, 40 (22%) required respiratory inhaler or nebulizer treatments, 41 (22%) used supplemental oxygen, and 24 (13%) were admitted as an inpatient to a conventional hospital. Of these 24 patients, 10 (42%) required ICU admission, 1 (3%) required a ventilator, and none died during their hospital admission. LIMITATION: Generalizability is limited to patients with a working telephone and the ability to comply with the monitoring protocols. CONCLUSION: Virtual hospital programs have the potential to provide health systems with additional inpatient capacity during the COVID-19 pandemic and beyond. PRIMARY FUNDING SOURCE: Atrium Health.

The Association Between Antibiotic Delay Intervals and Hospital Mortality Among Patients Treated in the Emergency Department for Suspected Sepsis.

OBJECTIVES: Rapid delivery of antibiotics is a cornerstone of sepsis therapy, although time targets for specific components of antibiotic delivery are unknown. We quantified time intervals comprising the task of antibiotic delivery and evaluated the association between interval delays and hospital mortality among patients treated in the emergency department for suspected sepsis. DESIGN: Retrospective cohort. SETTING: Twelve hospitals in Southeastern United States from 2014 to 2017. PATIENTS: Twenty-four thousand ninety-three encounters among 20,026 adults with suspected sepsis in 12 emergency departments. MEASUREMENTS AND MAIN RESULTS: We divided antibiotic administration into two intervals: time from emergency department triage to antibiotic order (recognition delay) and time from antibiotic order to infusion (administration delay). We used generalized linear mixed models to evaluate associations between these intervals and hospital mortality. Median time from emergency department triage to antibiotic administration was 3.4 hours (interquartile range, 2.0-6.0 hr), separated into a median recognition delay (time from emergency department triage to antibiotic order) of 2.7 hours(interquartile range, 1.5-4.7 hr) and median administration delay (time from antibiotic order to infusion) of 0.6 hours (0.3-1.2 hr). Adjusting for other risk factors, both recognition delay and administration delay were associated with mortality, but pairwise comparison with a no-delay reference group was not significant for up to 6 hours of recognition delay or up to 1.5 hours of administration delay. CONCLUSIONS: Both recognition delays and administration delays were associated with increased hospital mortality, but only for longer delays. These results suggest that both metrics may be important to measure and improve for patients with suspected sepsis but do not support targets less than 1 hour.

First-to-second antibiotic delay and hospital mortality among emergency department patients with suspected sepsis.

OBJECTIVE: To evaluate whether delay between the first and second antibiotic administered for suspected sepsis is associated with hospital mortality. DESIGN: Retrospective cohort. SETTING: Twelve hospitals in Southeastern United States from 2014 to 2017. PATIENTS: 25,717 adults with suspected sepsis presenting to 12 Emergency Departments who received at least two antibiotics within 12 h. MEASUREMENTS AND MAIN RESULTS: The primary exposure was first-to-second antibiotic delay >1 h. We used generalized linear mixed models to model the association between first-to-second antibiotic delay and hospital death in the overall cohort, and in subgroups of patients with and without septic shock. Overall, 13,852 (54%) patients had first-to-second antibiotic delay >1 h and 1666 (7%) died. Adjusting for other risk factors, first-to-second antibiotic delay was associated with increased risk of hospital death in the subgroup of patients with septic shock (OR 1.34; 95% CI: 1.05-1.70), but not among patients without shock (OR 0.99; 95% CI: 0.88-1.12) or in the overall cohort (OR 1.08; 95% CI: 0.97-1.20). CONCLUSIONS: First-to-second antibiotic delay of greater than one hour was associated with an increased risk of hospital death among patients meeting criteria for septic shock but not all patients with suspected sepsis. Tracking and improving first-to-second antibiotic delays may be considered in septic shock.

Protocol for a two-arm pragmatic stepped-wedge hybrid effectiveness-implementation trial evaluating Engagement and Collaborative Management to Proactively Advance Sepsis Survivorship (ENCOMPASS).

BACKGROUND: Sepsis survivors experience high morbidity and mortality, and healthcare systems lack effective strategies to address patient needs after hospital discharge. The Sepsis Transition and Recovery (STAR) program is a navigator-led, telehealth-based multicomponent strategy to provide proactive care coordination and monitoring of high-risk patients using evidence-driven, post-sepsis care tasks. The purpose of this study is to evaluate the effectiveness of STAR to improve outcomes for sepsis patients and to examine contextual factors that influence STAR implementation. METHODS: This study uses a hybrid type I effectiveness-implementation design to concurrently test clinical effectiveness and gather implementation data. The effectiveness evaluation is a two-arm, pragmatic, stepped-wedge cluster randomized controlled trial at eight hospitals in North Carolina comparing clinical outcomes between sepsis survivors who receive Usual Care versus care delivered through STAR. Each hospital begins in a Usual Care control phase and transitions to STAR in a randomly assigned sequence (one every 4 months). During months that a hospital is allocated to Usual Care, all eligible patients will receive usual care. Once a hospital transitions to STAR, all eligible patients will receive STAR during their hospitalization and extending through 90 days from discharge. STAR includes centrally located nurse navigators using telephonic counseling and electronic health record-based support to facilitate best-practice post-sepsis care strategies including post-discharge review of medications, evaluation for new impairments or symptoms, monitoring existing comorbidities, and palliative care referral when appropriate. Adults admitted with suspected sepsis, defined by clinical criteria for infection and organ failure, are included. Planned enrollment is 4032 patients during a 36-month period. The primary effectiveness outcome is the composite of all-cause hospital readmission or mortality within 90 days of discharge. A mixed-methods implementation evaluation will be conducted before, during, and after STAR implementation. DISCUSSION: This pragmatic evaluation will test the effectiveness of STAR to reduce combined hospital readmissions and mortality, while identifying key implementation factors. Results will provide practical information to advance understanding of how to integrate post-sepsis management across care settings and facilitate implementation, dissemination, and sustained utilization of best-practice post-sepsis management strategies in other heterogeneous healthcare delivery systems. TRIAL REGISTRATION: NCT04495946 . Submitted July 7, 2020; Posted August 3, 2020.

Where Is the Implementation Science? An Opportunity to Apply Principles During the COVID-19 Pandemic.

The coronavirus disease 2019 pandemic represents a global crisis that has received extraordinary response from healthcare workers and scientists. One critical but potentially overlooked field in a pandemic is implementation science-the study of methods to reduce the research-to-practice gap. In this Viewpoint, we discuss the important role of implementation science during this and future pandemics and highlight considerations to maximize the utility of implementation research.

Predictive Accuracy of Quick Sequential Organ Failure Assessment for Hospital Mortality Decreases With Increasing Comorbidity Burden Among Patients Admitted for Suspected Infection.

OBJECTIVES: Evaluate the accuracy of the quick Sequential Organ Failure Assessment tool to predict mortality across increasing levels of comorbidity burden. DESIGN: Retrospective observational cohort study. SETTING: Twelve acute care hospitals in the Southeastern United States. PATIENTS: A total of 52,187 patients with suspected infection presenting to the Emergency Department between January 2014 and September 2017. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was hospital mortality. We used electronic health record data to calculate quick Sequential Organ Failure Assessment risk scores from vital signs and laboratory values documented during the first 24 hours. We calculated Charlson Comorbidity Index scores to quantify comorbidity burden. We constructed logistic regression models to evaluate differences in the performance of quick Sequential Organ Failure Assessment greater than or equal to 2 to predict hospital mortality in patients with no documented (Charlson Comorbidity Index = 0), low (Charlson Comorbidity Index = 1-2), moderate (Charlson Comorbidity Index = 3-4), or high (Charlson Comorbidity Index ≥ 5) comorbidity burden. Among the cohort, 2,030 patients died in the hospital (4%). No comorbidities were documented for 5,038 patients (10%), 9,235 patients (18%) had low comorbidity burden, 12,649 patients (24%) had moderate comorbidity burden, and 25,265 patients (48%) had high comorbidity burden. Overall model discrimination for quick Sequential Organ Failure Assessment greater than or equal to 2 was the area under the receiver operating characteristic curve of 0.71 (95% CI, 0.69-0.72). A model including both quick Sequential Organ Failure Assessment and Charlson Comorbidity Index had improved discrimination compared with Charlson Comorbidity Index alone (area under the receiver operating characteristic curve, 0.77; 95% CI, 0.76-0.78 vs area under the curve, 0.61; 95% CI, 0.59-0.62). Discrimination was highest among patients with no documented comorbidities (quick Sequential Organ Failure Assessment area under the receiver operating characteristic curve, 0.84; 95% CI; 0.79-0.89) and lowest among high comorbidity patients (quick Sequential Organ Failure Assessment area under the receiver operating characteristic curve, 0.67; 95% CI, 0.65-0.68). The strength of association between quick Sequential Organ Failure Assessment and mortality ranged from 30.5-fold increased likelihood in patients with no comorbidities to 4.7-fold increased likelihood in patients with high comorbidity. CONCLUSIONS: The accuracy of quick Sequential Organ Failure Assessment to predict hospital mortality diminishes with increasing comorbidity burden. Patients with comorbidities may have baseline abnormalities in quick Sequential Organ Failure Assessment variables that reduce predictive accuracy. Additional research is needed to better understand quick Sequential Organ Failure Assessment performance across different comorbid conditions with modification that incorporates the context of changes to baseline variables.

Failure to Rescue as a Quality Measure in Sepsis.

This Viewpoint discusses the limitations of current tools to improve sepsis outcomes and proposes that these tools be supplemented with "failure to rescue," a systems-level approach for recognizing and addressing complications and managing sepsis throughout the hospitalization period.

Use of boosted protease inhibitors reduces Kaposi sarcoma incidence among male veterans with HIV infection.

BACKGROUND: Kaposi sarcoma (KS) incidence has decreased since combination antiretroviral therapy (cART). However, effects of cART type and duration on KS remain difficult to interpret secondary to KS-associated immune reconstitution inflammatory syndrome (IRIS). METHODS: We performed a retrospective study of Veterans Affairs Human Immunodeficiency Virus Clinical Case Registry data from 1985 to 2010. We analyzed the relationship between cART regimens and KS using multivariable Poisson regression, stratified or adjusted for timing around cART initiation. KS was identified by ≥ 1 inpatient or ≥ 2 outpatient International Classification of Diseases, Ninth Revision codes (176.0-9). Percent of cART on specific regimen and total duration on specific regimen were examined. RESULTS: There were 341 KS cases among 25 529 HIV-infected male veterans (incidence rate = 2.02/1000 person-years). Stratified by years after starting cART, every additional 10% time on boosted protease inhibitors (BPIs) was associated with reduced KS incidence in the third year of cART (incidence rate ratio [IRR] = 0.79; 95% confidence interval [CI], .69-.90). Months on BPIs was associated with lower KS incidence (P = .02). KS incidence was lower at 12-23 (IRR = 0.47; 95% CI, .23-.95) and ≥ 36 (IRR = 0.14; 95% CI, .02-1.00) months on BPIs compared with <6 months. Longer duration on other regimens was not associated with decreased KS incidence. CONCLUSIONS: Lower KS incidence was observed with longer BPI use, after accounting for potential IRIS and other factors. Future research should evaluate newer cART regimens and long-term benefits of PI-based cART on KS in other cohorts and prospective studies.

Nonalcoholic fatty liver disease is underrecognized in the primary care setting.

OBJECTIVES: The prevalence and disease burden of nonalcoholic fatty liver disease (NAFLD) are increasing. Nonetheless, little is known about the processes related to identification, diagnosis, and referral of patients with NAFLD in routine clinical care. METHODS: Using automated data, we isolated a random sample of patients in a Veterans Administration facility who had ≥2 alanine transaminase (ALT) values >40 IU/ml >6 months apart in the absence of any positive results for hepatitis C RNA, hepatitis B surface antigen, or screens for excess alcohol use. We conducted a structured medical record review to confirm NAFLD and abstracted data from the primary care providers' notes for (i) recognition of abnormal ALT levels, (ii) mention of NAFLD as a possible diagnosis, (iii) recommendations for diet or exercise, and (d) referral to a specialist for further NAFLD evaluation. Using a multilevel logistic regression model, we identified patient demographic, clinical, comorbidity, and health-care utilization factors associated with recognition and receipt of early NAFLD care. RESULTS: Of 251 patients identified with NAFLD by our methods, 99 (39.4%) had documentation in medical record notes of abnormal ALT, 54 (21.5%) had NAFLD mentioned as a possible diagnosis, 37 (14.7%) were counseled regarding diet and exercise, and 26 (10.4%) were referred to a specialist. Only the magnitude of ALT elevation (adjusted odds ratio (OR) for ALT >80 IU/ml vs. <80 IU/ml=4.4, 95% confidence interval (CI)=2.65-7.30) and proportion of elevation (adjusted OR for >50% vs. <50% of ALT values >40 IU/ml=1.8, 95% CI=1.03-3.14) were associated with receiving specified NAFLD care. Only 3% of patients at a high risk of fibrosis (NAFLD fibrosis score >0.675) were referred to specialists. CONCLUSIONS: Most patients in care who may have NAFLD are not being recognized and evaluated for this condition. Our data suggest that providers may be using an incorrect heuristic in delivering NAFLD care by concentrating on those with high ALT levels.

Shared decision making among parents of children with mental health conditions compared to children with chronic physical conditions.

High quality care in pediatrics involves shared decision making (SDM) between families and providers. The extent to which children with common mental health disorders experience SDM is not well known. The objectives of this study were to examine how parent-reported SDM varies by child health (physical illness, mental health condition, and comorbid mental and physical conditions) and to examine whether medical home care attenuates any differences. We analyzed data on children (2-17 years) collected through the 2009/2010 National Survey of Children with Special Health Care Needs. The sample consisted of parents of children in one of three child health categories: (1) children with a chronic physical illness but no mental health condition; (2) children with a common mental health condition but no chronic physical condition; and (3) children with comorbid mental and chronic physical conditions. The primary dependent variable was parent-report of provider SDM. The primary independent variable was health condition category. Multivariate linear regression analyses were conducted. Multivariate analyses controlling for sociodemographic variables and parent-reported health condition impact indicated lower SDM among children with a common mental health condition-only (B = -0.40; p < 0.01) and children with comorbid conditions (B = -0.67; p < 0.01) compared to children with a physical condition-only. Differences in SDM for children with a common mental health condition-only were no longer significant in the model adjusting for medical home care. However, differences in SDM for children with comorbid conditions persisted after adjusting for medical home care. Increasing medical home care may help mitigate differences in SDM for children with mental health conditions-only. Other interventions may be needed to improve SDM among children with comorbid mental and physical conditions.

Changes in sexual roles and quality of life for gay men after prostate cancer: challenges for sexual health providers.

INTRODUCTION: Gay men with prostate cancer (GMPCa) may have differential health-related quality of life (HRQOL) and sexual health outcomes than heterosexual men with prostate cancer (PCa), but existing information is based on clinical experience and small studies. AIMS: Our goals were to: (i) describe HRQOL and examine changes in sexual functioning and bother; (ii) explore the psychosocial aspects of sexual health after PCa; and (iii) examine whether there were significant differences on HRQOL and sexual behavior between GMPCa and published norms. METHODS: A convenience sample of GMPCa completed validated disease-specific and general measures of HRQOL, ejaculatory function and bother, fear of cancer recurrence, and satisfaction with prostate cancer care. Measures of self-efficacy for PCa management, illness intrusiveness, and disclosure of sexual orientation were also completed. Where possible, scores were compared against published norms. MAIN OUTCOME MEASURES: Main outcome measures were self-reported sexual functioning and bother on the Expanded Prostate Cancer Index. RESULTS: Compared with norms, GMPCa reported significantly worse functioning and more severe bother scores on urinary, bowel, hormonal symptom scales (Ps < 0.015-0.0001), worse mental health functioning (P < 0.0001), greater fear of cancer recurrence (P < 0.0001), and were more dissatisfied with their PCa medical care. However, GMPCa reported better sexual functioning scores (P < 0.002) compared with norms. Many of the observed differences met criteria for clinical significance. Physical functioning HRQOL and sexual bother scores were similar to that of published samples. GMPCa tended to be more "out" about their sexual orientation than other samples of gay men. CONCLUSIONS: GMPCa reported substantial changes in sexual functioning after PCa treatment. They also reported significantly worse disease-specific and general HRQOL, fear of recurrence, and were less satisfied with their medical care than other published PCa samples. Sexual health providers must have an awareness of the unique functional and HRQOL differences between gay and heterosexual men with PCa.