Early interventions for the prevention of post-traumatic stress symptoms in survivors of critical illness: protocol for a systematic review

Introduction: Post-traumatic stress disorder (PTSD) is being increasingly reported among survivors of critical illness and injury. Previous work has demonstrated that PTSD reduces patient quality of life and ability to return to work, as well as increases healthcare costs. As such, identifying interventions aimed at preventing the development of critical illness-related PTSD could have an important public health impact. The objective of this systematic review is to collate the world’s literature on early interventions aimed at preventing PTSD among survivors of critical illness. Methods and analysis: We will perform a qualitative systematic review of human clinical trials of interventions aimed at preventing or reducing critical illness-related PTSD symptoms. We will methodically search CENTRAL, MEDLINE, Embase and CINAHL. We will also search websites containing details on clinical trials registration (National Library of Medicine’s ClinicalTrials.gov and the WHO’s International Clinical Trials Registry Platform), as well as screen reference lists of the articles we select for inclusion to identify additional studies for potential inclusion. Two authors will independently review all search results. After identification and inclusion of articles, we will use a standardised form for data extraction. We will use tables to describe the study type, populations, interventions tested and timing of interventions, outcome measures and effects of interventions on outcome measures compared with control groups. This review will be completed between 1 August 2017 and 31 August 2017

Validation of a 5-Item Tool to Measure Patient Assessment of Clinician Compassion in Hospitals

BACKGROUND: We previously validated a 5-item compassion measure to assess patient experience of clinician compassion in the outpatient setting. However, currently, there is no validated and feasible method for health care systems to measure patient experience of clinician compassion in the inpatient setting across multiple hospitals. OBJECTIVE: To test if the 5-item compassion measure can validly and distinctly measure patient assessment of physician and nurse compassion in the inpatient setting. DESIGN: Cross-sectional study between July 1 and July 31, 2020, in a US health care network of 91 community hospitals across 16 states consisting of approximately 15,000 beds. PATIENTS: Adult patients who had an inpatient hospital stay and completed the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. MEASUREMENTS: We adapted the original 5-item compassion measure to be specific for physicians, as well as for nurses. We disseminated both measures with the HCAHPS survey and used confirmatory factor analysis for validity testing. We tested reliability using Cronbach\u27s alpha, as well as convergent validity with patient assessment of physician and nursing communication and overall hospital rating questions from HCAHPS. RESULTS: We analyzed 4756 patient responses. Confirmatory factor analysis found good fit for two distinct constructs (i.e., physician and nurse compassion). Both measures demonstrated good internal consistency (alpha \u3e 0.90) and good convergent validity but reflected a construct (compassionate care) distinct from what is currently captured in HCAHPS. CONCLUSION: We validated two 5-item tools that can distinctly measure patient experience of physician and nurse compassion for use in the inpatient hospital setting in conjunction with HCAHPS

Validation of a 5-item Tool to Measure Patient Assessment of Clinician Compassion in the Emergency Department.

BACKGROUND: To test if the 5-item compassion measure (a tool previously validated in the outpatient setting to measure patient assessment of clinician compassion) is a valid and reliable tool to quantify a distinct construct (i.e. clinical compassion) among patients evaluated in the emergency department (ED). METHODS: Cross-sectional study conducted in three academic emergency departments in the U.S. between November 2018 and April 2019. We enrolled adult patients who were evaluated in the EDs of the participating institutions and administered the 5-item compassion measure after completion of care in the ED. Validity testing was performed using confirmatory factor analysis. Cronbach\u27s alpha was used to test reliability. Convergent validity with patient assessment of overall satisfaction questions was tested using Spearman correlation coefficients and we tested if the 5-item compassion measure assessed a construct distinct from overall patient satisfaction using confirmatory factor analysis. RESULTS: We analyzed 866 patient responses. Confirmatory factor analysis found all five items loaded well on a single construct and our model was found to have good fit. Reliability was excellent (Cronbach\u27s alpha = 0.93) among the entire cohort. These results remained consistent on sub-analyses stratified by individual institutions. The 5-item compassion measure had moderate correlation with overall patient satisfaction (r = 0.66) and patient recommendation of the ED to friends and family (r = 0.57), but reflected a patient experience domain (i.e. compassionate care) distinctly different from patient satisfaction. CONCLUSIONS: The 5-item compassion measure is a valid and reliable tool to measure patient assessment of clinical compassion in the ED

Purchase and Use Patterns of Heroin Users at an Inner-city Emergency Department

BACKGROUND: Many consider heroin abuse a problem of the inner city, but suburban patients may also be at risk. OBJECTIVE: To characterize the demographics and purchase/use patterns of heroin users in an inner-city emergency department (ED). METHODS: The study was conducted in one of the most impoverished and crime-ridden cities in the United States. Demographics and substance use habits of ED patients were prospectively collected. Patients who were\u3c18 years of\u3eage, cognitively impaired, or did not speak English were excluded. Participants were further categorized as homeless, inner-city, and suburban residents. RESULTS: Of 3947 participants, 608 (15%) used an illicit substance in the past year, with marijuana (9%) and cocaine (6%) the most commonly used. Heroin ranked third, used by 180 (5%) participants, with 61% male, 31% black, and 20% Hispanic. There were 64 homeless, 60 suburban, and 56 inner-city heroin users. The most common route of use was injection (68%), with the highest rate in the homeless (84%). The majority of homeless and inner-city users bought (73%, both groups) and used (homeless 74%, inner city 88%) in the inner city. Of suburban users, 58% purchased and 61% used heroin in the inner city. Prescription narcotic use was more common in homeless (20%) and suburban (23%) heroin users than in inner-city users (9%) (p\u3c0.001). CONCLUSIONS: Heroin is the third most commonly used illicit substance by ED patients, and a significant amount of inner-city purchase and use activity is conducted by suburban heroin users

Association Between Medicare Summary Star Ratings for Patient Experience and Clinical Outcomes in US Hospitals

Objective: In 2015, the Centers for Medicare and Medicaid Services (CMS) released new summary star ratings for US hospitals based on patient experience. We aimed to test the association between CMS patient experience star ratings and clinical outcomes. Methods: We analyzed risk-adjusted data for more than 3000 US hospitals from CMS Hospital Compare using linear regression. Results: We found that better patient experience was associated with favorable clinical outcomes. Specifically, a higher number of stars for patient experience had a statistically significant association with lower rates of many in-hospital complications. A higher patient experience star rating also had a statistically significant association with lower rates of unplanned readmissions to the hospital within 30 days. Conclusion: Better patient experience according to the CMS star ratings is associated with favorable clinical outcomes. These results support the inclusion of patient experience data in the framework of how hospitals are paid for services