Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study.

BACKGROUND: Few studies have used standardized nursing records with Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) to identify predictors of clinical deterioration. OBJECTIVE: This study aims to standardize the nursing documentation records of patients with COVID-19 using SNOMED CT and identify predictive factors of clinical deterioration in patients with COVID-19 via standardized nursing records. METHODS: In this study, 57,558 nursing statements from 226 patients with COVID-19 were analyzed. Among these, 45,852 statements were from 207 patients in the stable (control) group and 11,706 from 19 patients in the exacerbated (case) group who were transferred to the intensive care unit within 7 days. The data were collected between December 2019 and June 2022. These nursing statements were standardized using the SNOMED CT International Edition released on November 30, 2022. The 260 unique nursing statements that accounted for the top 90% of 57,558 statements were selected as the mapping source and mapped into SNOMED CT concepts based on their meaning by 2 experts with more than 5 years of SNOMED CT mapping experience. To identify the main features of nursing statements associated with the exacerbation of patient condition, random forest algorithms were used, and optimal hyperparameters were selected for nursing problems or outcomes and nursing procedure-related statements. Additionally, logistic regression analysis was conducted to identify features that determine clinical deterioration in patients with COVID-19. RESULTS: All nursing statements were semantically mapped to SNOMED CT concepts for "clinical finding," "situation with explicit context," and "procedure" hierarchies. The interrater reliability of the mapping results was 87.7%. The most important features calculated by random forest were "oxygen saturation below reference range," "dyspnea," "tachypnea," and "cough" in "clinical finding," and "oxygen therapy," "pulse oximetry monitoring," "temperature taking," "notification of physician," and "education about isolation for infection control" in "procedure." Among these, "dyspnea" and "inadequate food diet" in "clinical finding" increased clinical deterioration risk (dyspnea: odds ratio [OR] 5.99, 95% CI 2.25-20.29; inadequate food diet: OR 10.0, 95% CI 2.71-40.84), and "oxygen therapy" and "notification of physician" in "procedure" also increased the risk of clinical deterioration in patients with COVID-19 (oxygen therapy: OR 1.89, 95% CI 1.25-3.05; notification of physician: OR 1.72, 95% CI 1.02-2.97). CONCLUSIONS: The study used SNOMED CT to express and standardize nursing statements. Further, it revealed the importance of standardized nursing records as predictive variables for clinical deterioration in patients.

Exploring Nursing Care for Patients With COVID-19 Using International Classification for Nursing Practice-Based Nursing Records.

This study explored nursing care topics for patients with the coronavirus disease 2019 admitted to the wards and intensive care units using International Classification for Nursing Practice-based nursing narratives. A total of 256630 nursing statements from 555 adult patients admitted from December 2019 to June 2022 were extracted from the clinical data warehouse. The International Classification for Nursing Practice concepts mapped to 301 unique nursing statements that accounted for the top 90% of all cumulative nursing narratives were used for analysis. The standardized number of nursing statements for each concept was calculated according to the types of nursing care and compared between the two groups. The most documented topics were related to infection; physical symptoms such as sputum, cough, dyspnea, and shivering; and vital signs including blood oxygen saturation and body temperature. Nurses in the intensive care units frequently documented concepts related to the directly monitored and assessed physical signs such as consciousness, pupil reflex, and skin integrity, whereas nurses in wards documented more concepts related to symptoms patients complained. This study showed that the International Classification for Nursing Practice-based nursing records can be used as source of information to identify nursing care for patients with coronavirus disease 19.

Bedside Nurse Documentation Practices: At the Patient Bedside or Not?

High-quality care requires precise and timely provider documentation. Hospitals have used technology to document patient care within both the inpatient and outpatient areas and long-term care facilities. Research has demonstrated, by revealing a reduction in medical errors, that there has been a worldwide improvement in our community health and welfare since the implementation and utilization of documenting patient care electronically. Although electronic documentation has proven to be an improvement in patient record keeping, the most efficient location in which this documentation is to occur remains a question. At the location where this project took place, only the ICU had computers within the patient rooms for documentation purposes. This project evaluated bedside nurses' opinions related to the efficiency of documentation practices compounded by the location where documentation took place. The options were at the patient's bedside, on a workstation on wheels, or at the nursing station. Surveys were provided to bedside nursing staff both before and after computers were installed in patients' rooms in surgical and medical/surgical nursing units at a Veteran Affairs Medical Center located in the Northeastern region of the United States. The results of this project inconclusively answer the question posed: "Which mode of entry do nurses feel is more efficient to document patient care, on a computer in the patient room, at the nurses' station, or on a workstation on wheels?" Innovative strategies should be explored to develop a user-friendly design for computers located within the patient rooms for patient documentation.

Electronic nursing documentation for patient safety, quality of nursing care, and documentation: a systematic review .

Objective: To evaluate the impact of electronic nursing documentation on patient safety, quality of nursing care and documentation. METHODS: The systematic review was conducted in December 2022, and comprised a comprehensive search on Scopus, ScienceDirect, ProQuest, PubMed, Cumulative Index to Nursing and Allied Health Literature, Sage Journals and Google Scholar databases for English-language human studies published between 2018 and 2022. The key words used in the search included "Nursing", "care", "documentation", "record", "electronic", "process" and "health services". The risk of bias was assessed using Strengthening the Reporting of Observational Studies in Epidemiology tool. RESULTS: Of the 469 items initially identified, 15(3.2%) were analysed in detail, indicating a positive influence of electronic nursing documentation on patient safety, care quality, and documentation. However, shortcomings were observed in the development of electronic nursing documentation for optimal effectiveness. Conclusion: Electronic nursing documentation significantly enhanced patient safety, care quality and documentation. To facilitate its integration into clinical settings, a standardised and logically structured electronic nursing documentation system is essential.

Preparing for the Future: Establishing a National Consensus on Nursing Crisis Documentation.

Clinicians across the globe face overwhelming dissatisfaction and burden with electronic health records due to poor usability and the sheer volume of data collection requirements. In the United States, electronic health records are noted to be a principal source of distress, dissatisfaction, and endless workarounds, leading to poor clinician performance and, ultimately, poor patient outcomes. The purpose of this article is to present a detailed review of a 2020 Texas pilot study. The study's focus was the engagement of nursing informatics experts from around the state to gain consensus on nursing documentation's current status and if plans were being developed to modify or decrease documentation, specifically to alleviate burden during a time of crisis. The study consisted of subject matter expert focus groups, a high-level Delphi for instrument development, and the implementation of the statewide instrument to gain consensus. Ultimately, the research team learned that there were gaps in not only what documentation could be removed (either temporarily or permanently) but also what standards dictate the use of crisis documentation (ie, "surge" criteria). The study findings discussed in this article will inform improvement strategies and policy recommendations to increase the value and usability of crisis nursing documentation requirements.

Self-care nursing interventions: A qualitative study into electronic health records' contents.

AIMS: This study aims to (1) analyse all self-care-related interventions Portuguese nurses documented, (2) determine potential issues that may impair semantic interoperability and (3) propose a new set of interventions representing nursing actions regarding self-care that may integrate any HER application. BACKGROUND: As populations age and chronic diseases increase, self-care concerns rise. Individuals who seek healthcare, regardless of context, need prompt access to accurate health information. Healthcare professionals need to understand the information in all places where care is provided, creating the need for semantic interoperability within electronic health records. METHODS: A qualitative descriptive and exploratory study was conducted in two phases: (1) a content analysis of nursing interventions e-documentation and (2) a focus group with fifteen registered nurses exploring latent criteria or insights gleaned from the findings of content analysis. The COREQ statement was used to guide research reporting. RESULTS: We extracted 1529 nursing intervention sentences from the electronic health records and created 209 intervention categories. We identified the main issues with semantic interoperability in nursing intervention identification. CONCLUSION: According to the findings, nurses cooperate with clients, offering physical aid and encouraging them to overcome functional limitations to self-care tasks hampered by their conditions. IMPLICATIONS FOR NURSING POLICY AND HEALTH POLICY: This article provides evidence to warn policy makers against decisions to use locally customised electronic health records, as well as evidence on the importance of policy promoting the adoption of a nursing ontology for electronic health records. And, as a result, the harmonisation and effective provision of high-quality nursing care and the reduction of healthcare costs across nations.

[Complexity of outpatient intensive care for ventilated people: Cross-mapping into the standardised NNN-taxonomy]. / Komplexität außerstationärer Intensivpflege beatmeter Menschen.

Complexity of outpatient intensive care for ventilated people: Cross-mapping into the standardised NNN-taxonomy Abstract. Background: In Germany, free text is the preferred method for recording the nursing process in outpatient intensive care, although classification systems could enable a more precise description. Research question: How is nursing care for people with outpatient ventilation represented by the NNN-taxonomy and what are the recommendations for nursing practice? Methods: A qualitative "multiple case" design was applied. Using deductive content analysis (data sources: nursing documentation and secondary analysis of interviews with affected persons), several cases, both individually and across all cases were linked to the NNN-taxonomy (cross-mapping). Results: In total, the nursing documentation of 16 invasively ventilated persons with a mean age of 58.4 years (SD = 16.3) was analysed. Seven persons additionally contributed interview data. Documentation was mainly based on the "Strukturmodell" (14/16) with a moderate to high accuracy (D-Catch Score: 16.6; SD = 4.1). Cross-mapping resulted in 4016 codes: 618 nursing diagnoses, 1956 interventions and 1442 outcomes. Documentation was strongly measure-oriented, not very person-centred and with a lack of differentiation between diagnosis and intervention. Conclusions: To improve nursing practice, a person-centred attitude and the ability to differentiate between nursing diagnoses, interventions and outcomes should be promoted.

Identifying nursing sensitive indicators from electronic health records in acute cardiac care-Towards intelligent automated assessment of care quality.

AIM: The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing-sensitive indicators in acute cardiac care. BACKGROUND: Nursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data-based solutions that automatically extract and help interpret data from electronic health records. METHODS: This is a deductive descriptive study that followed the theory of value-added analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free-text format. RESULTS: One thousand six hundred seventy-six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality. CONCLUSIONS: Electronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice. IMPLICATIONS FOR NURSING MANAGEMENT: Knowledge-based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real-time big data for improved data access and interpretation to better support nursing management in quality assessment.

Auditing completion of nursing records as an outcome indicator for identifying patients at risk of developing pressure ulcers, falling, and social vulnerability: An observational study.

AIM: To evaluate the completion of nursing records through scheduled audits to analyse risk outcome indicators. BACKGROUND: Nursing records support clinical decision-making and encourage continuity of care, hence the importance of auditing their completion in order to take corrective action where necessary. METHOD: This was an observational descriptive study carried out from February to November 2020 with a sample of 1131 electronic health records belonging to patients admitted to COVID-19 hospital units during three observation periods: pre-pandemic, first wave, and second wave. RESULTS: A significant reduction in nursing record completion rates was observed between pre-pandemic period and first and second waves: Braden scale 40.97%, 28.02%, and 30.99%; Downton scale: 43.74%, 22.34%, and 33.91%; Gijón scale: 40.12%, 26.23%, and 33.64% (p < 0.001). There was an increase in the number of records completed between the first and second waves following the measures adopted after the quality audit. CONCLUSIONS: The use of scheduled audits of nursing records as quality indicators facilitated the detection of areas for improvement, allowing timely corrective actions. IMPLICATIONS FOR NURSING MANAGEMENT: Support from nursing managers at health care facilities to implement quality assessment programmes encompassing audits of clinical record completion will encourage the adoption of measures for corrective action.

[Validity and Reliability of a Nursing Process Scale].

BACKGROUND: A valid and reliable nursing record audit tool can simplify nursing records and provide a basis for quality auditing. PURPOSE: To ensure the validity and reliability of the Nursing Process Scale to promote accurate monitoring of nursing record quality. METHODS: This study employed structural equation modeling to examine the content validity and reliability of the current Nursing Process Scale. A total of 660 results from a medical center were used to revise the content and then the validity and reliability of the revised scale were analyzed. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used in three stages, namely item generation and content validity testing, item analysis and validity testing, and reliability testing. RESULTS: Validity, reliability, and organization based on clinical practice were used to identify and remove scale items with low factor loadings. The remaining items were organized under several factors in the revised Nursing Process Scale, which had good internal consistency with a Cronbach's α of .653 in the EFA, a Kaiser-Meyer-Olkin value of .614, and a significant Bartlett's test of sphericity value. Five factors and 22 questions were extracted from the original 32 questions. The CFA conducted after the model correction reduced the number of questions to 10 and the number of factors to 3, with each index reaching the ideal level. To improve ease-of-use in clinical settings, the important items were reduced from 32 to 22 questions, including the 10 questions suggested by the CFA. CONCLUSIONS: The validity, reliability, and organization based on clinical practice were considered in the removal of items with low factor loadings. Axial conversion was used to generate a component matrix, which allowed item rearrangement across factors and the revision of the Nursing Process Scale. The development of simple valid and reliable audit tools will save auditor time and allow the effective evaluation of nursing record quality and improvement in record integrity. This revised scale was reviewed and approved for implementation in 42 clinical wards.

Information Models Offer Value to Standardize Electronic Health Record Flowsheet Data: A Fall Prevention Exemplar.

PURPOSE: The rapid implementation of electronic health records (EHRs) resulted in a lack of data standardization and created considerable difficulty for secondary use of EHR documentation data within and between organizations. While EHRs contain documentation data (input), nurses and healthcare organizations rarely have useable documentation data (output). The purpose of this article is to describe a method of standardizing EHR flowsheet documentation data using information models (IMs) to support exchange, quality improvement, and big data research. As an exemplar, EHR flowsheet metadata (input) from multiple organizations was used to validate a fall prevention IM. DESIGN: A consensus-based, qualitative, descriptive approach was used to identify a minimum set of essential fall prevention data concepts documented by staff nurses in acute care. The goal was to increase generalizable and comparable nurse-sensitive data on the prevention of falls across organizations for big data research. METHODS: The research team conducted a retrospective, observational study using an iterative, consensus-based approach to map, analyze, and evaluate nursing flowsheet metadata contributed by eight health systems. The team used FloMap software to aggregate flowsheet data across organizations for mapping and comparison of data to a reference IM. The FloMap analysis was refined with input from staff nurse subject matter experts, review of published evidence, current documentation standards, Magnet Recognition nursing standards, and informal fall prevention nursing use cases. FINDINGS: Flowsheet metadata analyzed from the EHR systems represented 6.6 million patients, 27 million encounters, and 683 million observations. Compared to the original reference IM, five new IM classes were added, concepts were reduced by 14 (from 57 to 43), and 157 value set items were added. The final fall prevention IM incorporated 11 condition or age-specific fall risk screening tools and a fall event details class with 14 concepts. CONCLUSION: The iterative, consensus-based refinement and validation of the fall prevention IM from actual EHR fall prevention flowsheet documentation contributes to the ability to semantically exchange and compare fall prevention data across multiple health systems and organizations. This method and approach provides a process for standardizing flowsheet data as coded data for information exchange and use in big data research. CLINICAL RELEVANCE: Opportunities exist to work with EHR vendors and the Office of the National Coordinator for Health Information Technology to implement standardized IMs within EHRs to expand interoperability of nurse-sensitive data.

Designing paper-based records to improve the quality of nursing documentation in hospitals: A scoping review.

BACKGROUND: Inpatient nursing documentation facilitates multi-disciplinary team care and tracking of patient progress. In both high- and low- and middle-income settings, it is largely paper-based and may be used as a template for electronic medical records. However, there is limited evidence on how they have been developed. OBJECTIVE: To synthesise evidence on how paper-based nursing records have been developed and implemented in inpatient settings to support documentation of nursing care. DESIGN: A scoping review guided by the Arksey and O'Malley framework and reported using PRISMA-ScR guidelines. ELIGIBILITY CRITERIA: We included studies that described the process of designing paper-based inpatient records and excluded those focussing on electronic records. Included studies were published in English up to October 2019. SOURCES OF EVIDENCE: PubMed, CINAHL, Web of Science and Cochrane supplemented by free-text searches on Google Scholar and snowballing the reference sections of included papers. RESULTS: 12 studies met the eligibility criteria. We extracted data on study characteristics, the development process and outcomes related to documentation of inpatient care. Studies reviewed followed a process of problem identification, literature review, chart (re)design, piloting, implementation and evaluation but varied in their execution of each step. All studies except one reported a positive change in inpatient documentation or the adoption of charts amid various challenges. CONCLUSIONS: The approaches used seemed to work for each of the studies but could be strengthened by following a systematic process. Human-centred Design provides a clear process that prioritises the healthcare professional's needs and their context to deliver a usable product. Problems with the chart could be addressed during the design phase rather than during implementation, thereby promoting chart ownership and uptake since users are involved throughout the design. This will translate to better documentation of inpatient care thus facilitating better patient tracking, improved team communication and better patient outcomes. RELEVANCE TO CLINICAL PRACTICE: Paper-based charts should be designed in a systematic and clear process that considers patient's and healthcare professional's needs contributing to improved uptake of charts and therefore better documentation.

Evaluating the Correlation Between Nursing Practice and Electronic Nursing Records Using Importance-Performance Analysis.

This study aimed to analyze the importance and performance of nursing task items in the standard guidelines for comprehensive nursing services and confirm whether they are reflected in the nursing records. A total of 120 nurses from three hospitals were surveyed for the importance-performance analysis of standard nursing services and their correlation with nursing records. The average scores for importance, performance, and correlation to nursing records were 3.65, 3.31, and 3.08, respectively, demonstrating a significant positive correlation. Regarding the correlation between nursing tasks and nursing records, spiritual and emotional assessment, mobilization, education and counseling, and escaping and suicide prevention items had moderately low scores. In the importance correlation to the nursing records of the task items matrix, 10 items in quadrant 1 were strengths. Conversely, in quadrant 2, suicide and escape prevention require critical areas for improvement. The other six items were low-priority items in quadrant 3, and the three items in quadrant 4 were hygiene, elimination, and nutrition, which required excessive effort. It is necessary to evaluate the electronic nursing records system periodically according to the nursing environment and modify and supplement the records if required.

Facilitating the Implementation of Standardized Care Plans in Municipal Healthcare.

Standardized care plans have the potential to enhance the quality of nursing records in terms of content and completeness, thereby better supporting workflow, easing the documentation process, facilitating continuity of care, and permitting systematic data gathering to build evidence from practice. Despite these potential benefits, there may be challenges associated with the successful adoption and use of standardized care plans in municipal healthcare information practices. Using a participatory approach, two workshops were conducted with nurses and nursing leaders (n = 11) in two Norwegian municipalities, with the objective of identifying success criteria for the adoption and integration of standardized care plans into practice. Three themes were found to describe the identified success criteria: (1) "facilitating system level support for nurses' workflow"; (2) "engaged individuals creating a culture for using standardized care plans"; and (3) "developing system level safety nets." The findings suggest success criteria that could be useful to address to facilitate the integration of standardized care plans in municipal healthcare information practice and provide useful knowledge for those working with implementation and further development of standardized care plans.

Nursing Documentation Variation Across Different Medical Facilities Within an Integrated Healthcare System.

The purpose of this study was to demonstrate nursing documentation variation based on electronic health record design and its relationship with different levels of care by reviewing how various flowsheet measures, within the same electronic health record across an integrated healthcare system, are documented in different types of medical facilities. Flowsheet data with information on patients who were admitted to academic medical centers, community hospitals, and rehabilitation centers were used to calculate the frequency of flowsheet entries documented. We then compared the distinct flowsheet measures documented in five flowsheet templates across the different facilities. We observed that each type of healthcare facility appeared to have distinct clinical care foci and flowsheet measures documented differed within the same template based on facility type. Designing flowsheets tailored to study settings can meet the needs of end users and increase documentation efficiency by reducing time spent on unrelated flowsheet measures. Furthermore, this process can save nurses time for direct patient care.

Automatic Classification of Electronic Nursing Narrative Records Based on Japanese Standard Terminology for Nursing.

In Japan, nursing records are not easily put to secondary use because nursing documentation is not standardized. In recent years, electronic health records have necessitated the creation of Japanese nursing terminology. The purpose of this study was to develop and evaluate an automatic classification system for narrative nursing records using natural language processing technology and machine learning. We collected a week's worth of narrative nursing records from an academic hospital. The authors independently annotated the text data, dividing it into morphemes, the smallest meaningful unit in a language. During preprocessing when creating feature quantities, we used a Japanese tokenizer, MeCab, an open-source morphological parser, and the bag-of-words model. A support vector machine was adopted as a classifier for machine learning. The accuracy was 0.96 and 0.86 on the training set and test set, respectively, and the F value was 0.82. Our findings provide useful information regarding the development of an automatic classification system for Japanese nursing records using nursing terminology and natural language processing techniques.

Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes.

A German regulation requires nursing managers to document patient-nurse ratios. They have to combine heterogeneous hospital data from different sources. Missing documentation or ratios that are too high lead to sanctions. Automated approaches are needed to accelerate the time-consuming and error-prone documentation process. A documentation and visualization system was implemented. The system allows nursing managers to quickly and automatically create the documentation required by the regulation. Interactive visualization dashboards assist with the analysis of patient and staff numbers. The developed method was effectively used in nursing management tasks. No changes to the information technology infrastructure were needed. The new process is around 35 hours per month faster and less error-prone. The documentation functionality automatically reads the required information and correctly calculates the documentation. The visualization functionality allows nursing managers to assess the current patient-nurse ratios before the documentation is submitted. The method scales to multiple wards and locations. It calculates the sanctions to expect and is easily updatable. The proposed method is expected to decrease nursing administration workloads and facilitate the analysis of nursing management data in a cost-effective way.

Association Between Symptoms of Patients With Heart Failure and Patient Outcomes Based on Electronic Nursing Records.

We examined the association between symptoms (ie, dyspnea and pain) and patient outcomes (ie, length of stay, 30-day readmission, and death in hospital) among patients with heart failure using EMRs. This was a descriptive study that was conducted from July 1, 2014, to November 30, 2017. Participants were 754 hospitalized patients with heart failure (mean age, 70.62 ± 14.78 years; male-to-female ratio, 1:1.1). Data were analyzed using descriptive statistics, χ2 tests, and logistic regression analyses. Patients' average length of stay was 8.92 ± 13.12 days. Thirty-two patients (4.2%) were readmitted, and 100 patients (13.3%) died during hospitalization. Two-thirds (67.7%) experienced dyspnea, and 367 (48.7%) experienced pain. Symptoms and ICU admission were significantly related to patient outcomes. In the regression analyses, dyspnea, pain, and ICU admission were significantly related to higher-than-average lengths of stay. Dyspnea and ICU admission were related to death in hospital. Information regarding patients' symptoms, which was extracted from records, was a valuable resource in examining the relationship between symptoms and patient outcomes. The use of EMRs may be more advantageous than self-reported surveys when examining patients' symptom and utilizing big data.

Early recognition of surgical patients with sepsis: Contribution of nursing records.

OBJECTIVE: This study aimed to analyze the contribution of nursing records to the early identification and management of sepsis in surgical patients at a university hospital. METHOD: This is a study with a quantitative, retrospective, descriptive, and correlational design. Data collection was performed through hospital information systems in the first semester of 2017 with the approval of the research ethics committee. We included 28 patients who met the inclusion criteria of the study. RESULTS: The analysis of the content of the records evidenced the development of the first signs of systemic inflammatory response syndrome (SIRS) and organ dysfunction until the fifth day of hospitalization in 19 patients (67.8%). Confirmation or hypothesis of sepsis diagnosis occurred until the 10th day of hospitalization in 15 patients (53.5%). The analysis of the content of the records showed that the first signs of SIRS were predominantly identified in the electronic patient monitoring system in 26 cases (92.9%), whereas the first signs of organ dysfunction were described in the nursing staff records in 24 patients (85.7%). CONCLUSION: The results confirm the importance of the quality of nursing records for risk identification, early recognition, and proper management of sepsis in surgical patients, aiming at achieving greater effectiveness in the management of healthcare processes.

A Retrospective Descriptive Analysis of Sexual Assault Nurse Examiner Records From Sexual Assault Survivors at a Large University Emergency Department From 2003 to 2017.

This retrospective descriptive analysis of 837 patients seeking postassault care at an academic hospital in the United States describes characteristics of sexual assault survivors from a sociocultural context, with a specific focus on describing survivors presenting for sexual assault nurse examiner (SANE) exams and confirming existing literature on assault characteristics, such as disabilities and alcohol and/or drug use. Assaults resulting in SANE exams increased over time. Drug and/or alcohol use at the time of the assault was reported in 44.8% of cases and 20.8% of survivors reported having a disability. Understanding the demographic and sexual assault characteristics of survivors is fundamental to providing sensitive and responsive care.